diff --git a/examples/hello_world_portkey_adk.py b/examples/hello_world_portkey_adk.py
index 1ebe6fea..5a7b95bf 100644
--- a/examples/hello_world_portkey_adk.py
+++ b/examples/hello_world_portkey_adk.py
@@ -43,9 +43,10 @@ async def main() -> None:
     final_text: List[str] = []
     async for resp in llm.generate_content_async(req, stream=False):
         if resp.content and getattr(resp.content, "parts", None):
-            for p in resp.content.parts:
-                if getattr(p, "text", None):
-                    final_text.append(p.text)
+            for p in resp.content.parts or []:
+                text = getattr(p, "text", None)
+                if text:
+                    final_text.append(text)
     print("".join(final_text))
 
 
diff --git a/examples/hello_world_portkey_strands.py b/examples/hello_world_portkey_strands.py
index a3453000..edef0425 100644
--- a/examples/hello_world_portkey_strands.py
+++ b/examples/hello_world_portkey_strands.py
@@ -31,7 +31,7 @@ async def main() -> None:
     ]
 
     print(f"Streaming with model: {model_id}")
-    async for event in model.stream(messages=messages):
+    async for event in model.stream(messages=messages):  # type: ignore[arg-type]
         # Events follow the Strands stream event shape produced by our adapter.
         if isinstance(event, dict) and "contentBlockDelta" in event:
             delta = event["contentBlockDelta"].get("delta", {})
diff --git a/portkey_ai/__init__.py b/portkey_ai/__init__.py
index 8f785a81..31735830 100644
--- a/portkey_ai/__init__.py
+++ b/portkey_ai/__init__.py
@@ -147,6 +147,14 @@
     AsyncConversationsItems,
     Videos,
     AsyncVideos,
+    Skills,
+    AsyncSkills,
+    SkillsContent,
+    AsyncSkillsContent,
+    SkillsVersions,
+    AsyncSkillsVersions,
+    SkillsVersionsContent,
+    AsyncSkillsVersionsContent,
     ChatKit,
     AsyncChatKit,
     ChatKitSessions,
@@ -347,6 +355,14 @@
     "AsyncConversationsItems",
     "Videos",
     "AsyncVideos",
+    "Skills",
+    "AsyncSkills",
+    "SkillsContent",
+    "AsyncSkillsContent",
+    "SkillsVersions",
+    "AsyncSkillsVersions",
+    "SkillsVersionsContent",
+    "AsyncSkillsVersionsContent",
     "ChatKit",
     "AsyncChatKit",
     "ChatKitSessions",
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/INSTALLER b/portkey_ai/_vendor/openai-2.30.0.dist-info/INSTALLER
similarity index 100%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/INSTALLER
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/INSTALLER
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/METADATA b/portkey_ai/_vendor/openai-2.30.0.dist-info/METADATA
similarity index 99%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/METADATA
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/METADATA
index 69197f70..6b3f09ae 100644
--- a/portkey_ai/_vendor/openai-2.16.0.dist-info/METADATA
+++ b/portkey_ai/_vendor/openai-2.30.0.dist-info/METADATA
@@ -1,6 +1,6 @@
 Metadata-Version: 2.3
 Name: openai
-Version: 2.16.0
+Version: 2.30.0
 Summary: The official Python library for the openai API
 Project-URL: Homepage, https://github.com/openai/openai-python
 Project-URL: Repository, https://github.com/openai/openai-python
@@ -29,7 +29,7 @@ Requires-Dist: jiter<1,>=0.10.0
 Requires-Dist: pydantic<3,>=1.9.0
 Requires-Dist: sniffio
 Requires-Dist: tqdm>4
-Requires-Dist: typing-extensions<5,>=4.11
+Requires-Dist: typing-extensions<5,>=4.14
 Provides-Extra: aiohttp
 Requires-Dist: aiohttp; extra == 'aiohttp'
 Requires-Dist: httpx-aiohttp>=0.1.9; extra == 'aiohttp'
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/RECORD b/portkey_ai/_vendor/openai-2.30.0.dist-info/RECORD
similarity index 67%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/RECORD
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/RECORD
index 22342e7e..6fb6d4aa 100644
--- a/portkey_ai/_vendor/openai-2.16.0.dist-info/RECORD
+++ b/portkey_ai/_vendor/openai-2.30.0.dist-info/RECORD
@@ -1,72 +1,76 @@
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-openai/__init__.py,sha256=Fvc0dwOoaIZDN_s3iV62jlxeU5d7qn-Q8eQIaPIdD8g,11196
+../../bin/openai,sha256=cjWmuDARcocjwKDAUknB51A6sDRrmhrt1TqB6iZzkC0,203
+openai-2.30.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+openai-2.30.0.dist-info/METADATA,sha256=JdY3AlShidRD7M5Wi6XRFGtg8hwSkQR-RJaK1UacY18,29209
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@@ -1128,9 +1167,9 @@ openai/types/fine_tuning/job_create_params.py,sha256=-79Le_1QQI0c8W5M1NWLKlmRs9W
 openai/types/fine_tuning/job_list_events_params.py,sha256=4xOED4H2ky2mI9sIDytjmfJz5bNAdNWb70WIb_0bBWs,400
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 openai/types/fine_tuning/jobs/__init__.py,sha256=nuWhOUsmsoVKTKMU35kknmr8sfpTF-kkIzyuOlRbJj0,295
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 openai/types/fine_tuning/reinforcement_hyperparameters.py,sha256=DwLBbYDa4QDJQup7aeg_KUu5wwC4tSLDpp60axNsmC0,1501
@@ -1142,21 +1181,21 @@ openai/types/fine_tuning/supervised_hyperparameters_param.py,sha256=9nnnvgvHbT-x
 openai/types/fine_tuning/supervised_method.py,sha256=sGXoTMI_r3BN53I7FA45dz_JU9d_7eQlPXHvRSswgfY,472
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@@ -1174,13 +1213,14 @@ openai/types/graders/text_similarity_grader_param.py,sha256=KW-fjo4H3S7mdZbFMXj7
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@@ -1194,164 +1234,164 @@ openai/types/moderation_multi_modal_input_param.py,sha256=RFdiEPsakWIscutX896ir5
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@@ -1489,7 +1529,7 @@ openai/types/realtime/response_create_event_param.py,sha256=3hLwSZv8ROLu11eU17Yg
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+openai/types/responses/response_function_tool_call_param.py,sha256=YLIx22-QGyB9NdwZQRWK6Hh2vrNPQTCN9DKa_vOcfYQ,1178
+openai/types/responses/response_function_web_search.py,sha256=-CoTjkdMSJHmmdpDWlj5kcJ9ov6wA66LLFfsAhC1_Js,2375
+openai/types/responses/response_function_web_search_param.py,sha256=HgcLvlhOrRGsV4ylv_OqC6hTiGggQ9Jrqm92dwspuwI,2515
 openai/types/responses/response_image_gen_call_completed_event.py,sha256=4EVne_sRTbCxuPTTdt7YMRBblpH8nR3in4PkzzrHxBE,783
 openai/types/responses/response_image_gen_call_generating_event.py,sha256=Xu-lJZAHRZTDbiOGRVOBLCmXnAbHFQBYNRmPab2pFug,824
 openai/types/responses/response_image_gen_call_in_progress_event.py,sha256=LvCFXfC7VNqmZegn_b4xy021H-qO08SzGOspvK-6Wew,778
@@ -1770,6 +1883,7 @@ openai/types/responses/response_image_gen_call_partial_image_event.py,sha256=Iss
 openai/types/responses/response_in_progress_event.py,sha256=oi8YtsItiH0TloP7rbkm0-XOY1-FKTV4o6Ia_y4pS6Q,571
 openai/types/responses/response_includable.py,sha256=tkia-hgFh4ttgy53H5lJtoBWsSQh6G2DzCXj-14o8Ko,505
 openai/types/responses/response_incomplete_event.py,sha256=WGBjWI-kwdaQpGBqzrIKfTehJ4Phzxsn2fvfDYoTV6w,592
+openai/types/responses/response_input.py,sha256=AMsHCZPd90LJYdaIbsDdKt_PtFHi9JbKUZIl8r07PUg,284
 openai/types/responses/response_input_audio.py,sha256=CLnaiuQjjF11emjSxbVBLL0yF_kONznqXgIB6m8lric,614
 openai/types/responses/response_input_audio_param.py,sha256=MXXWtLXdToypWHQYLSpfUXtC2U_PllaffzJLMy5LNYY,713
 openai/types/responses/response_input_content.py,sha256=MaZ-MNnZvhM2stSUKdhofXrdM9BzFjSJQal7UDVAQaI,542
@@ -1778,22 +1892,23 @@ openai/types/responses/response_input_file.py,sha256=lgoRiDEn_dPiga4dgHZsHcjgbzE
 openai/types/responses/response_input_file_content.py,sha256=SdUicUGXlg_OICLMdySuJLTmmU0WDTywjRIWFVEYOwg,781
 openai/types/responses/response_input_file_content_param.py,sha256=F2cwpQbEZtgt4p4dxs7zl_2mM7rB9OsNjbbLMRq8WV4,809
 openai/types/responses/response_input_file_param.py,sha256=TFYJQXKEOWB3cdiAIVkRrMgeO_-ZjqNUAidCl7KKwK0,753
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-openai/types/responses/response_input_image_content.py,sha256=0fVlJtV-LnTYP51zwqcBkKyyDdCq7OZQZkFcbeQihjY,934
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-openai/types/responses/response_input_image_param.py,sha256=lxWoE5udEUHohLRw9KtfNTcwMuabydqQy1gxZ7oAtqk,956
-openai/types/responses/response_input_item.py,sha256=LmxxV68vNIfspCf0l13pnRnZI8lXMtsfpjddxiT4t1c,15925
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 openai/types/responses/response_input_message_content_list.py,sha256=LEaQ_x6dRt3w5Sl7R-Ewu89KlLyGFhMf31OHAHPD3U8,329
 openai/types/responses/response_input_message_content_list_param.py,sha256=cbbqvs4PcK8CRsNCQqoA4w6stJCRNOQSiJozwC18urs,666
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 openai/types/responses/response_input_text.py,sha256=uCT-nKv5EEjOHmTyBlKJ01gLSCGue8lcjrBwzwWzPrE,413
 openai/types/responses/response_input_text_content.py,sha256=UPb4d4KHkbgN0rS6wkvoaTPZVGN_2aYo-VbL-zwMkpU,427
 openai/types/responses/response_input_text_content_param.py,sha256=nAOZRT6FsZqPr0va99wAFVB1lz5W8cinZ-9iEuAHgN0,493
 openai/types/responses/response_input_text_param.py,sha256=9DbrdxWlak_wHmcPhw9BIVlyWkBnuAfmYC4TDtM_Lqo,479
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 openai/types/responses/response_item_list.py,sha256=JclJxBBJda7fjXVbeLfYeVUH8A_swQN24LWpUjIsuus,702
+openai/types/responses/response_local_environment.py,sha256=n5-0mDusTkCjp9CFxFHW3lUxM3_RApWz-Qav4dnsNrU,398
 openai/types/responses/response_mcp_call_arguments_delta_event.py,sha256=EUCaFYd-EgZS9zikqlXi8xqUzeC94MzVx2qrhUgm4a0,884
 openai/types/responses/response_mcp_call_arguments_done_event.py,sha256=LWMaw5HKV8AgiYNJxTB-14kmCcFc_T22tSCdqJjlp3Y,826
 openai/types/responses/response_mcp_call_completed_event.py,sha256=MFjkI21vxzlTzvEAvmRjntJ3vGCeDTViMFek6AIyQXM,670
@@ -1802,11 +1917,11 @@ openai/types/responses/response_mcp_call_in_progress_event.py,sha256=oTLlZyhdLsn
 openai/types/responses/response_mcp_list_tools_completed_event.py,sha256=3OdrqmMVVUgVTwl2nOf5vQ-4VVcbfS6VoF3G7z5DOjU,726
 openai/types/responses/response_mcp_list_tools_failed_event.py,sha256=9nvFQ-02kRXV6nOf_4o5aQhYw7-tSzppLbN-C7a2zHE,680
 openai/types/responses/response_mcp_list_tools_in_progress_event.py,sha256=V9IqBnh-oLKqtthuGA3LDNveWzx10kd2N6x3MpzATzM,756
-openai/types/responses/response_output_item.py,sha256=mYMzKnpJLEQqIQCEZp2FU29QhdWecQHVGsOM3h1Gvig,6101
+openai/types/responses/response_output_item.py,sha256=FAp4k-SgthM72nKlxQKvZ3GvzQcEk7yiX9388A86OHc,7866
 openai/types/responses/response_output_item_added_event.py,sha256=6rIwK1Dtgu2K0t1R2ForK1C70CUpcnihqMpWqlM0jtg,696
 openai/types/responses/response_output_item_done_event.py,sha256=n-T9NinnYm0xhOmPfDhqKso0JQYVhfs0IXa1MhkA2cc,707
-openai/types/responses/response_output_message.py,sha256=OkOnbst0qUMmnFDOwKgPbK4Ii7JLxoKYV-9aLOrYNHI,1149
-openai/types/responses/response_output_message_param.py,sha256=YwLkQ0QRwWyon_RMzA09uQbqLO949cIpQZwlUQUIWpY,1193
+openai/types/responses/response_output_message.py,sha256=AH_2iyIM4mueix_xUv8b6PsEPTNUTX0aLHjYTwH7m3A,1566
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 openai/types/responses/response_output_refusal.py,sha256=VkWPvAhqWz3mZ_7X8CZA4CPjgCfkWpAsrUL_EEAp3mY,425
 openai/types/responses/response_output_refusal_param.py,sha256=RO2CI71fbzQPwsr3URyR-EP20oRNMaWAmLj9dMDeu1o,491
 openai/types/responses/response_output_text.py,sha256=LPESiPQE6UcQFa1bHRFr-Dxsvbyqc6UoCDsauGDAev0,3157
@@ -1832,11 +1947,20 @@ openai/types/responses/response_text_config.py,sha256=8mk0TYDQB9VNJxKAazvCHy3WIz
 openai/types/responses/response_text_config_param.py,sha256=Wq9RvKd2ZlOBRsTaUxWRmSekcQxH8mMoYJZGp2QHY30,1684
 openai/types/responses/response_text_delta_event.py,sha256=fdEVcZTuoTzxIhFwcp48YPUTdEHXwI4ocSwDM2kfcEM,1689
 openai/types/responses/response_text_done_event.py,sha256=KbaXsGeQvNJTGN8vOpEaA-_mGBSr6Viv-9rEAFrY6zw,1687
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 openai/types/responses/response_usage.py,sha256=g1YqV35FbWEsFkDyXyQ95gK1CPT2vXaEj7dx35Nyllo,1204
 openai/types/responses/response_web_search_call_completed_event.py,sha256=huESBkfYVrHZUHUHeRknBgw7bMrIYEsVryEZrXHMiGc,754
 openai/types/responses/response_web_search_call_in_progress_event.py,sha256=MQIZTtd3LqdX4C46cG-vOSeNaLxQFvM2FaCfiDwUits,760
 openai/types/responses/response_web_search_call_searching_event.py,sha256=UucDvOvM6VjzBgCkwVO-UvRbttfidcBVCQdvgw-NUJk,754
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+openai/types/responses/skill_reference.py,sha256=Ar8pzoXWFt5fDiHd9qtsrCsWalGHAoj1VjFCdacq1gw,540
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 openai/types/responses/tool_choice_allowed.py,sha256=Mq18Us-Yd-59WZppbXaWYjBPtUqSbHHE48IWCHdLFCI,1100
 openai/types/responses/tool_choice_allowed_param.py,sha256=6Yk0zOe8QGzTyrReDIEy56o3opFvPbS0FeuBN6DW8CM,1184
 openai/types/responses/tool_choice_apply_patch.py,sha256=zUFufN0Okg40AkOM3QmzUxtRX4DQKwR52fYQYdQDECk,404
@@ -1850,35 +1974,37 @@ openai/types/responses/tool_choice_mcp_param.py,sha256=-cnA3zk3wMmx93CkCwwOBiw3C
 openai/types/responses/tool_choice_options.py,sha256=gJHrNT72mRECrN7hQKRHAOA-OS0JJo51YnXvUcMfqMQ,237
 openai/types/responses/tool_choice_shell.py,sha256=5k4381juLRA_qZc_h4x0DGtnW6wkSKAogWfnYLMEPxk,378
 openai/types/responses/tool_choice_shell_param.py,sha256=Qy0ySbnh_0eDYPJwzn5iHoHHuo79HAHwkk8zRhNYtdY,434
-openai/types/responses/tool_choice_types.py,sha256=djkzycVSxYunU9WIGeRbS6nZa-tjEsSEtI2r1MwzMG0,923
-openai/types/responses/tool_choice_types_param.py,sha256=tuaS5Azelo0hDgpjBjZprfwjZKfmAcFT9zLq2QIIBik,1021
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 openai/types/responses/web_search_tool.py,sha256=rsN2LrO25vAvIVEl3sKCiLS5pAqvwxJyam0Cgys419g,2083
 openai/types/responses/web_search_tool_param.py,sha256=pXX6qVRcsVNBDhy91nHM0svtpzvKVoAPIg7ciOXmctg,2124
 openai/types/shared/__init__.py,sha256=EVk-X1P3R7YWmlYmrbpMrjAeZEfVfudF-Tw7fbOC90o,1267
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 openai/types/shared/all_models.py,sha256=OggdrF27d8_oCWAsE-LyQQmtjflAesmOyogIvi-atAs,716
-openai/types/shared/chat_model.py,sha256=sMmuHjOzYGegtDSqONSt2HXKYLuG66ncZRMFmeXuCTI,1957
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 openai/types/shared/compound_filter.py,sha256=Dk2EVAI9kgojEKyeaXnIsu93rz8kKPERW0y5Y9LpdzY,638
 openai/types/shared/custom_tool_input_format.py,sha256=qgYtTA-5KQssG4TCdI2V2s83GcNQHhHczjSQVj4oIhg,856
 openai/types/shared/error_object.py,sha256=G7SGPZ9Qw3gewTKbi3fK69eM6L2Ur0C2D57N8iEapJA,305
@@ -1894,22 +2020,22 @@ openai/types/shared/response_format_text_grammar.py,sha256=zjIlUfFTCfAyLCc4fmiV3
 openai/types/shared/response_format_text_python.py,sha256=hWrzEgdP1hUAX80Slc-UddodqFE3HDEWM8w0T0tADr0,525
 openai/types/shared/responses_model.py,sha256=Ot5_u8itwSMhVUhZ8rHnt5Bdj2eI_Ux76WHQ8xKHt7E,726
 openai/types/shared_params/__init__.py,sha256=Jtx94DUXqIaXTb7Sgsx3MPoB9nViBlYEy0DlQ3VcOJU,976
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-openai/types/shared_params/__pycache__/function_definition.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/function_parameters.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/metadata.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/reasoning.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/reasoning_effort.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/response_format_json_object.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/response_format_json_schema.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/response_format_text.cpython-310.pyc,,
-openai/types/shared_params/__pycache__/responses_model.cpython-310.pyc,,
-openai/types/shared_params/chat_model.py,sha256=EcH6f6e8-ylkT206MlIK-nrk1NbfbIkirDYuMKR6gWE,1993
-openai/types/shared_params/comparison_filter.py,sha256=xtHLwK5uBnkRyecsqrbjYXnlHPoB66uf3wJyGUjR3DY,1089
+openai/types/shared_params/__pycache__/__init__.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/chat_model.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/comparison_filter.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/compound_filter.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/custom_tool_input_format.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/function_definition.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/function_parameters.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/metadata.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/reasoning.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/reasoning_effort.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/response_format_json_object.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/response_format_json_schema.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/response_format_text.cpython-314.pyc,,
+openai/types/shared_params/__pycache__/responses_model.cpython-314.pyc,,
+openai/types/shared_params/chat_model.py,sha256=wAR-4oRZzueww1WHi5KvccbeVP5HPxe7aNfDlVl-QXU,2137
+openai/types/shared_params/comparison_filter.py,sha256=OTaWOJD15rkcK2aB1f29lIyd3UHCU3C1fWYhAA8Fx6A,1102
 openai/types/shared_params/compound_filter.py,sha256=kpjER_a7NZT4rvAHxEj3hd6CgF_JHgBFl5WI9-HBzkY,703
 openai/types/shared_params/custom_tool_input_format.py,sha256=uv6tIPrdbzJ3_erNTbz7bDjVbMzAi8o22QG2wOhpRGQ,852
 openai/types/shared_params/function_definition.py,sha256=6JjuRmXIofTv76GCC4XFssqgZw-iKbBazjWqKerfq6Q,1510
@@ -1921,6 +2047,25 @@ openai/types/shared_params/response_format_json_object.py,sha256=eEG54vILrwf5es7
 openai/types/shared_params/response_format_json_schema.py,sha256=Rx2m7tbaMVWO0FQABF0B7jc8Cxo8_EmTq_tQwCX9XqU,1804
 openai/types/shared_params/response_format_text.py,sha256=zCKpz3Fl_w-EICrTTrarsBhxea_LvzaKG6J864zjF1c,441
 openai/types/shared_params/responses_model.py,sha256=r1tGQ9j25cW84o01POd2p74wb18DdSBe2OeBTJhVOc8,770
+openai/types/skill.py,sha256=xCnmIVIrzbmkdQZHuIxmIAS5wa2rzjmYuOQDAah0KHI,657
+openai/types/skill_create_params.py,sha256=tskcK2JrqgOHsOZ0uuNYn8KITbQoBzbq0UZGvgCbYTk,448
+openai/types/skill_list.py,sha256=10R_5DUqfjvhr3Ve_hDWUFyJbx7No4LZ_GR7JFHhur4,640
+openai/types/skill_list_params.py,sha256=JBkg2WnMVoXd86aEwF9YUwAWRGibg0Z1-YiQvd8N_pE,550
+openai/types/skill_update_params.py,sha256=cC1iOF7tBCM9dBm7rXlohfSfXO_8evxma1BY3vC_bsk,346
+openai/types/skills/__init__.py,sha256=9n6vxblrac4DrM-8_fK6R5BkyepfCtZJu1i3orvSWAw,476
+openai/types/skills/__pycache__/__init__.cpython-314.pyc,,
+openai/types/skills/__pycache__/deleted_skill_version.cpython-314.pyc,,
+openai/types/skills/__pycache__/skill_version.cpython-314.pyc,,
+openai/types/skills/__pycache__/skill_version_list.cpython-314.pyc,,
+openai/types/skills/__pycache__/version_create_params.cpython-314.pyc,,
+openai/types/skills/__pycache__/version_list_params.cpython-314.pyc,,
+openai/types/skills/deleted_skill_version.py,sha256=0BYiz1FTElv8DkpSD7H49K0ZWzASOJC4yNTg0P9sDys,366
+openai/types/skills/skill_version.py,sha256=aF549GDKzxlw7TnCUC1z8WbYXdl7Rv0vogAcHNDrCQU,712
+openai/types/skills/skill_version_list.py,sha256=_jevI1qhI6-ZEevLFkKsflI-02kTXJBq9WpeBfB_HeQ,677
+openai/types/skills/version_create_params.py,sha256=dqfTwBQn5ode8JnuwQ3lr7Uv5Ja26aCnoJsFu5-x0F4,526
+openai/types/skills/version_list_params.py,sha256=C_B2XBJuiXiZWCWNcykuTZTlkO4b1ghjjC5664g3qLY,462
+openai/types/skills/versions/__init__.py,sha256=OKfJYcKb4NObdiRObqJV_dOyDQ8feXekDUge2o_4pXQ,122
+openai/types/skills/versions/__pycache__/__init__.cpython-314.pyc,,
 openai/types/static_file_chunking_strategy.py,sha256=JmAzT2-9eaG9ZTH8X0jS1IVCOE3Jgi1PzE11oMST3Fc,595
 openai/types/static_file_chunking_strategy_object.py,sha256=MTwQ1olGZHoC26xxCKw0U0RvWORIJLgWzNWRQ1V0KmA,424
 openai/types/static_file_chunking_strategy_object_param.py,sha256=tUsAYwR07qefkjFgt_qNwdUDbo2Rd-k9Xgu9OvtK9EE,597
@@ -1929,9 +2074,9 @@ openai/types/upload.py,sha256=_ePK_A-Hxr0bctSI3PfiAiJh22YRZwWXsBt0xdEQIk4,1281
 openai/types/upload_complete_params.py,sha256=PW5mCxJt7eg7F5sttX5LCE43m9FX8oZs3P5i9HvjRoU,527
 openai/types/upload_create_params.py,sha256=uOXPb_sdZhCqoR3gSSvpb4RpZ5K_Ppl1oAmJGbIAT3Y,1689
 openai/types/uploads/__init__.py,sha256=fDsmd3L0nIWbFldbViOLvcQavsFA4SL3jsXDfAueAck,242
-openai/types/uploads/__pycache__/__init__.cpython-310.pyc,,
-openai/types/uploads/__pycache__/part_create_params.cpython-310.pyc,,
-openai/types/uploads/__pycache__/upload_part.cpython-310.pyc,,
+openai/types/uploads/__pycache__/__init__.cpython-314.pyc,,
+openai/types/uploads/__pycache__/part_create_params.cpython-314.pyc,,
+openai/types/uploads/__pycache__/upload_part.cpython-314.pyc,,
 openai/types/uploads/part_create_params.py,sha256=pBByUzngaj70ov1knoSo_gpeBjaWP9D5EdiHwiG4G7U,362
 openai/types/uploads/upload_part.py,sha256=A_6PT8ptLJtR-jbU1b11jlpnVNLE10Kwoh1U985j9Y4,677
 openai/types/vector_store.py,sha256=rbjldzgYE-1TsFvAeBQYSOJqSiSWISrhYpmnkJTVsL0,2633
@@ -1942,17 +2087,17 @@ openai/types/vector_store_search_params.py,sha256=Uglni3jSE8d8-4c7eKRlxxEsxFNnhz
 openai/types/vector_store_search_response.py,sha256=qlhdAjqLPZg_JQmsqQCzAgT2Pxc2C-vGZmh64kR8y-M,1156
 openai/types/vector_store_update_params.py,sha256=-RQr2LnJzmpI8iFx-cGSZK8hg-24mYx9c497xtN_36k,1293
 openai/types/vector_stores/__init__.py,sha256=F_DyW6EqxOJTBPKE5LUSzgTibcZM6axMo-irysr52ro,818
-openai/types/vector_stores/__pycache__/__init__.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_batch_create_params.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_batch_list_files_params.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_content_response.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_create_params.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_list_params.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/file_update_params.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/vector_store_file.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/vector_store_file_batch.cpython-310.pyc,,
-openai/types/vector_stores/__pycache__/vector_store_file_deleted.cpython-310.pyc,,
-openai/types/vector_stores/file_batch_create_params.py,sha256=rHysxuqX1vfxUqsIfaLYJMi4CkmMSJEmDWBjTb_ntdg,2707
+openai/types/vector_stores/__pycache__/__init__.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_batch_create_params.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_batch_list_files_params.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_content_response.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_create_params.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_list_params.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/file_update_params.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/vector_store_file.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/vector_store_file_batch.cpython-314.pyc,,
+openai/types/vector_stores/__pycache__/vector_store_file_deleted.cpython-314.pyc,,
+openai/types/vector_stores/file_batch_create_params.py,sha256=_ezNbyz_tGXnRFPOV6O0sPcmAWJruFqyza2PUVN1d2Y,2791
 openai/types/vector_stores/file_batch_list_files_params.py,sha256=FPpQvCQI2skyLB8YCuwdCj7RbO9ba1UjaHAtvrWxAbs,1451
 openai/types/vector_stores/file_content_response.py,sha256=uAFvFDE_NVRzg0xm1fLJ2zEd62qzq8rPYko7xpDjbaU,367
 openai/types/vector_stores/file_create_params.py,sha256=nTHWG0OMqqLRjWFH2qbif89fpCJQCzGGdXDjCqPbq1Y,1229
@@ -1961,11 +2106,16 @@ openai/types/vector_stores/file_update_params.py,sha256=NGah01luDW_W3psfsYa3Shls
 openai/types/vector_stores/vector_store_file.py,sha256=uHAXG0fdkbeJHS21gWmXourPYlc4GyyXkdam-EENwtU,2431
 openai/types/vector_stores/vector_store_file_batch.py,sha256=W1VoZE_PaiiOxRKG3empVJfr22oc7bE14dL9jheMG14,1512
 openai/types/vector_stores/vector_store_file_deleted.py,sha256=sOds3FSmDBFhe25zoSAz2vHsmG2bo4s2PASgB_M6UU0,321
-openai/types/video.py,sha256=3jT9tcZYJDAA93XgdKxpMT2WgpzwYcxKmVj9pJweWec,1698
+openai/types/video.py,sha256=Ggn_umAkyqVuwZdN0bWNuj5CfRRUOkt9fpUx_iSzqgI,1780
+openai/types/video_create_character_params.py,sha256=qGoGgMTLc3_PtUrnBz5Ze2VaG-6Gf5JwEowa8-WcGGI,459
+openai/types/video_create_character_response.py,sha256=qbqptjZ3jYkhZhJ4FZUg58P2ZEGenz9ZmE9JxYECAC8,490
 openai/types/video_create_error.py,sha256=DZpLbIAIOXOaZDNZk1dyVYMZHuxu81xB34krRLF6ddU,415
-openai/types/video_create_params.py,sha256=xe09Ac0l_M_PsKFIAdw90jJfZIs2QePxu_x5Qw1oUvU,1015
+openai/types/video_create_params.py,sha256=GxMfiZsty_DdNNI8jtO007Ei6rWQWQ9v-paC1dlKjZA,1240
 openai/types/video_delete_response.py,sha256=eiD7lHgtxXIl0sY-JzhrKzWfRFdiGne24LfPZ9tQIho,529
 openai/types/video_download_content_params.py,sha256=MXcSQOL67hzODH__CRf7g6i74hjXJG9I0zPIqqBjnlU,405
+openai/types/video_edit_params.py,sha256=vdYgJuW1vaVRDeUCzlYf_-1nzRF40R5mME8tiTziAas,784
+openai/types/video_extend_params.py,sha256=7FleFZMG05Yyzh5dWyGbi8ViFfESbfIrIejWGHVFfDs,988
+openai/types/video_get_character_response.py,sha256=SM_DKGQFfAtFm7GhvFZ5O8ymL1sxIrTlV3Zow6olvfU,484
 openai/types/video_list_params.py,sha256=pa8Nd6-hrc2fF8ZQRf4udebbMXpMDEKDrAAH9niSlgk,550
 openai/types/video_model.py,sha256=fkUBLAJ37g6TOBcXZGUgAMUhNNCDtSYCoEeMWiw0iJc,329
 openai/types/video_model_param.py,sha256=TeQQgBVyDxOuVo5qibiJIS9qJObnCtjbHGZEuam-SZc,375
@@ -1973,23 +2123,23 @@ openai/types/video_remix_params.py,sha256=cFh9Tuaa1HH-cWyScfHPlw7N8nU-fg_AW0BL7S
 openai/types/video_seconds.py,sha256=HyRb-NR4sVEGe2DoYZIQGig4kOrbbFfRYiqVejAgFbg,215
 openai/types/video_size.py,sha256=H1o0EhMbmicXdvaTC3wL-DnghhXzB7EkBChHL-gqdbI,243
 openai/types/webhooks/__init__.py,sha256=T8XC8KrJNXiNUPevxpO4PJi__C-HZgd0TMg7D2bRPh4,1828
-openai/types/webhooks/__pycache__/__init__.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/batch_cancelled_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/batch_completed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/batch_expired_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/batch_failed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/eval_run_canceled_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/eval_run_failed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/eval_run_succeeded_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/fine_tuning_job_cancelled_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/fine_tuning_job_failed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/fine_tuning_job_succeeded_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/realtime_call_incoming_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/response_cancelled_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/response_completed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/response_failed_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/response_incomplete_webhook_event.cpython-310.pyc,,
-openai/types/webhooks/__pycache__/unwrap_webhook_event.cpython-310.pyc,,
+openai/types/webhooks/__pycache__/__init__.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/batch_cancelled_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/batch_completed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/batch_expired_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/batch_failed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/eval_run_canceled_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/eval_run_failed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/eval_run_succeeded_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/fine_tuning_job_cancelled_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/fine_tuning_job_failed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/fine_tuning_job_succeeded_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/realtime_call_incoming_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/response_cancelled_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/response_completed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/response_failed_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/response_incomplete_webhook_event.cpython-314.pyc,,
+openai/types/webhooks/__pycache__/unwrap_webhook_event.cpython-314.pyc,,
 openai/types/webhooks/batch_cancelled_webhook_event.py,sha256=1iE0xOSTWzU8FJD5ruqgZazkOdCjmBZ_PB9_4Gmif7Y,862
 openai/types/webhooks/batch_completed_webhook_event.py,sha256=XCFcMnvn5xosPWdUwp3sO8wi4zYNefHWc_z6btzdGAE,862
 openai/types/webhooks/batch_expired_webhook_event.py,sha256=wNL76DW5xg9Jm8hqpPP-X5GHz3_wajmoNwc0jufgXtI,841
@@ -2006,5 +2156,5 @@ openai/types/webhooks/response_completed_webhook_event.py,sha256=mwNAM5x1-uqL39j
 openai/types/webhooks/response_failed_webhook_event.py,sha256=ka3VuDmBV7d9hxoFWktSZFXmtQrd4vrL4OinnMriyvQ,843
 openai/types/webhooks/response_incomplete_webhook_event.py,sha256=egeszUAnZW5j7-JBYXqNNUPNcDJc_Rl_shR2Lyz3iLM,878
 openai/types/webhooks/unwrap_webhook_event.py,sha256=KrfVL0-NsOuWHtRGiJfGMYwI8blUr09vUqUVJdZNpDQ,2039
-openai/types/websocket_connection_options.py,sha256=4cAWpv1KKp_9pvnez7pGYzO3s8zh1WvX2xpBhpe-96k,1840
+openai/types/websocket_connection_options.py,sha256=EA3rjUkBMdvNtsF31iW0gki0WDkEIWntW_cSqdHQTfQ,2041
 openai/version.py,sha256=cjbXKO8Ut3aiv4YlQnugff7AdC48MpSndcx96q88Yb8,62
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/REQUESTED b/portkey_ai/_vendor/openai-2.30.0.dist-info/REQUESTED
similarity index 100%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/REQUESTED
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/REQUESTED
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/WHEEL b/portkey_ai/_vendor/openai-2.30.0.dist-info/WHEEL
similarity index 100%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/WHEEL
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/WHEEL
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/entry_points.txt b/portkey_ai/_vendor/openai-2.30.0.dist-info/entry_points.txt
similarity index 100%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/entry_points.txt
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/entry_points.txt
diff --git a/portkey_ai/_vendor/openai-2.16.0.dist-info/licenses/LICENSE b/portkey_ai/_vendor/openai-2.30.0.dist-info/licenses/LICENSE
similarity index 100%
rename from portkey_ai/_vendor/openai-2.16.0.dist-info/licenses/LICENSE
rename to portkey_ai/_vendor/openai-2.30.0.dist-info/licenses/LICENSE
diff --git a/portkey_ai/_vendor/openai/__init__.py b/portkey_ai/_vendor/openai/__init__.py
index e7411b38..b2093ada 100644
--- a/portkey_ai/_vendor/openai/__init__.py
+++ b/portkey_ai/_vendor/openai/__init__.py
@@ -379,6 +379,7 @@ def _reset_client() -> None:  # type: ignore[reportUnusedFunction]
     files as files,
     images as images,
     models as models,
+    skills as skills,
     videos as videos,
     batches as batches,
     uploads as uploads,
diff --git a/portkey_ai/_vendor/openai/_base_client.py b/portkey_ai/_vendor/openai/_base_client.py
index 94c2d1b5..e6a57693 100644
--- a/portkey_ai/_vendor/openai/_base_client.py
+++ b/portkey_ai/_vendor/openai/_base_client.py
@@ -86,6 +86,7 @@
     APIConnectionError,
     APIResponseValidationError,
 )
+from ._utils._json import openapi_dumps
 from ._legacy_response import LegacyAPIResponse
 
 log: logging.Logger = logging.getLogger(__name__)
@@ -556,8 +557,10 @@ def _build_request(
                 kwargs["content"] = options.content
             elif isinstance(json_data, bytes):
                 kwargs["content"] = json_data
-            else:
-                kwargs["json"] = json_data if is_given(json_data) else None
+            elif not files:
+                # Don't set content when JSON is sent as multipart/form-data,
+                # since httpx's content param overrides other body arguments
+                kwargs["content"] = openapi_dumps(json_data) if is_given(json_data) and json_data is not None else None
             kwargs["files"] = files
         else:
             headers.pop("Content-Type", None)
@@ -784,6 +787,9 @@ def _should_retry(self, response: httpx.Response) -> bool:
 
         return True
 
+        log.debug("Not retrying")
+        return False
+
     def _idempotency_key(self) -> str:
         return f"stainless-python-retry-{uuid.uuid4()}"
 
@@ -1963,6 +1969,7 @@ def make_request_options(
     idempotency_key: str | None = None,
     timeout: float | httpx.Timeout | None | NotGiven = not_given,
     post_parser: PostParser | NotGiven = not_given,
+    synthesize_event_and_data: bool | None = None,
 ) -> RequestOptions:
     """Create a dict of type RequestOptions without keys of NotGiven values."""
     options: RequestOptions = {}
@@ -1988,6 +1995,9 @@ def make_request_options(
         # internal
         options["post_parser"] = post_parser  # type: ignore
 
+    if synthesize_event_and_data is not None:
+        options["synthesize_event_and_data"] = synthesize_event_and_data
+
     return options
 
 
diff --git a/portkey_ai/_vendor/openai/_client.py b/portkey_ai/_vendor/openai/_client.py
index a3b01b2c..aadf3601 100644
--- a/portkey_ai/_vendor/openai/_client.py
+++ b/portkey_ai/_vendor/openai/_client.py
@@ -44,6 +44,7 @@
         files,
         images,
         models,
+        skills,
         videos,
         batches,
         uploads,
@@ -62,7 +63,6 @@
     from .resources.models import Models, AsyncModels
     from .resources.videos import Videos, AsyncVideos
     from .resources.batches import Batches, AsyncBatches
-    from .resources.webhooks import Webhooks, AsyncWebhooks
     from .resources.beta.beta import Beta, AsyncBeta
     from .resources.chat.chat import Chat, AsyncChat
     from .resources.embeddings import Embeddings, AsyncEmbeddings
@@ -70,8 +70,10 @@
     from .resources.completions import Completions, AsyncCompletions
     from .resources.evals.evals import Evals, AsyncEvals
     from .resources.moderations import Moderations, AsyncModerations
+    from .resources.skills.skills import Skills, AsyncSkills
     from .resources.uploads.uploads import Uploads, AsyncUploads
     from .resources.realtime.realtime import Realtime, AsyncRealtime
+    from .resources.webhooks.webhooks import Webhooks, AsyncWebhooks
     from .resources.responses.responses import Responses, AsyncResponses
     from .resources.containers.containers import Containers, AsyncContainers
     from .resources.fine_tuning.fine_tuning import FineTuning, AsyncFineTuning
@@ -178,6 +180,9 @@ def __init__(
 
     @cached_property
     def completions(self) -> Completions:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import Completions
 
         return Completions(self)
@@ -190,18 +195,25 @@ def chat(self) -> Chat:
 
     @cached_property
     def embeddings(self) -> Embeddings:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import Embeddings
 
         return Embeddings(self)
 
     @cached_property
     def files(self) -> Files:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import Files
 
         return Files(self)
 
     @cached_property
     def images(self) -> Images:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import Images
 
         return Images(self)
@@ -214,12 +226,16 @@ def audio(self) -> Audio:
 
     @cached_property
     def moderations(self) -> Moderations:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import Moderations
 
         return Moderations(self)
 
     @cached_property
     def models(self) -> Models:
+        """List and describe the various models available in the API."""
         from .resources.models import Models
 
         return Models(self)
@@ -250,12 +266,14 @@ def beta(self) -> Beta:
 
     @cached_property
     def batches(self) -> Batches:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import Batches
 
         return Batches(self)
 
     @cached_property
     def uploads(self) -> Uploads:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import Uploads
 
         return Uploads(self)
@@ -274,12 +292,14 @@ def realtime(self) -> Realtime:
 
     @cached_property
     def conversations(self) -> Conversations:
+        """Manage conversations and conversation items."""
         from .resources.conversations import Conversations
 
         return Conversations(self)
 
     @cached_property
     def evals(self) -> Evals:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import Evals
 
         return Evals(self)
@@ -290,6 +310,12 @@ def containers(self) -> Containers:
 
         return Containers(self)
 
+    @cached_property
+    def skills(self) -> Skills:
+        from .resources.skills import Skills
+
+        return Skills(self)
+
     @cached_property
     def videos(self) -> Videos:
         from .resources.videos import Videos
@@ -529,6 +555,9 @@ def __init__(
 
     @cached_property
     def completions(self) -> AsyncCompletions:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import AsyncCompletions
 
         return AsyncCompletions(self)
@@ -541,18 +570,25 @@ def chat(self) -> AsyncChat:
 
     @cached_property
     def embeddings(self) -> AsyncEmbeddings:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import AsyncEmbeddings
 
         return AsyncEmbeddings(self)
 
     @cached_property
     def files(self) -> AsyncFiles:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import AsyncFiles
 
         return AsyncFiles(self)
 
     @cached_property
     def images(self) -> AsyncImages:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import AsyncImages
 
         return AsyncImages(self)
@@ -565,12 +601,16 @@ def audio(self) -> AsyncAudio:
 
     @cached_property
     def moderations(self) -> AsyncModerations:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import AsyncModerations
 
         return AsyncModerations(self)
 
     @cached_property
     def models(self) -> AsyncModels:
+        """List and describe the various models available in the API."""
         from .resources.models import AsyncModels
 
         return AsyncModels(self)
@@ -601,12 +641,14 @@ def beta(self) -> AsyncBeta:
 
     @cached_property
     def batches(self) -> AsyncBatches:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import AsyncBatches
 
         return AsyncBatches(self)
 
     @cached_property
     def uploads(self) -> AsyncUploads:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import AsyncUploads
 
         return AsyncUploads(self)
@@ -625,12 +667,14 @@ def realtime(self) -> AsyncRealtime:
 
     @cached_property
     def conversations(self) -> AsyncConversations:
+        """Manage conversations and conversation items."""
         from .resources.conversations import AsyncConversations
 
         return AsyncConversations(self)
 
     @cached_property
     def evals(self) -> AsyncEvals:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import AsyncEvals
 
         return AsyncEvals(self)
@@ -641,6 +685,12 @@ def containers(self) -> AsyncContainers:
 
         return AsyncContainers(self)
 
+    @cached_property
+    def skills(self) -> AsyncSkills:
+        from .resources.skills import AsyncSkills
+
+        return AsyncSkills(self)
+
     @cached_property
     def videos(self) -> AsyncVideos:
         from .resources.videos import AsyncVideos
@@ -791,6 +841,9 @@ def __init__(self, client: OpenAI) -> None:
 
     @cached_property
     def completions(self) -> completions.CompletionsWithRawResponse:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import CompletionsWithRawResponse
 
         return CompletionsWithRawResponse(self._client.completions)
@@ -803,18 +856,25 @@ def chat(self) -> chat.ChatWithRawResponse:
 
     @cached_property
     def embeddings(self) -> embeddings.EmbeddingsWithRawResponse:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import EmbeddingsWithRawResponse
 
         return EmbeddingsWithRawResponse(self._client.embeddings)
 
     @cached_property
     def files(self) -> files.FilesWithRawResponse:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import FilesWithRawResponse
 
         return FilesWithRawResponse(self._client.files)
 
     @cached_property
     def images(self) -> images.ImagesWithRawResponse:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import ImagesWithRawResponse
 
         return ImagesWithRawResponse(self._client.images)
@@ -827,12 +887,16 @@ def audio(self) -> audio.AudioWithRawResponse:
 
     @cached_property
     def moderations(self) -> moderations.ModerationsWithRawResponse:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import ModerationsWithRawResponse
 
         return ModerationsWithRawResponse(self._client.moderations)
 
     @cached_property
     def models(self) -> models.ModelsWithRawResponse:
+        """List and describe the various models available in the API."""
         from .resources.models import ModelsWithRawResponse
 
         return ModelsWithRawResponse(self._client.models)
@@ -857,12 +921,14 @@ def beta(self) -> beta.BetaWithRawResponse:
 
     @cached_property
     def batches(self) -> batches.BatchesWithRawResponse:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import BatchesWithRawResponse
 
         return BatchesWithRawResponse(self._client.batches)
 
     @cached_property
     def uploads(self) -> uploads.UploadsWithRawResponse:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import UploadsWithRawResponse
 
         return UploadsWithRawResponse(self._client.uploads)
@@ -881,12 +947,14 @@ def realtime(self) -> realtime.RealtimeWithRawResponse:
 
     @cached_property
     def conversations(self) -> conversations.ConversationsWithRawResponse:
+        """Manage conversations and conversation items."""
         from .resources.conversations import ConversationsWithRawResponse
 
         return ConversationsWithRawResponse(self._client.conversations)
 
     @cached_property
     def evals(self) -> evals.EvalsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import EvalsWithRawResponse
 
         return EvalsWithRawResponse(self._client.evals)
@@ -897,6 +965,12 @@ def containers(self) -> containers.ContainersWithRawResponse:
 
         return ContainersWithRawResponse(self._client.containers)
 
+    @cached_property
+    def skills(self) -> skills.SkillsWithRawResponse:
+        from .resources.skills import SkillsWithRawResponse
+
+        return SkillsWithRawResponse(self._client.skills)
+
     @cached_property
     def videos(self) -> videos.VideosWithRawResponse:
         from .resources.videos import VideosWithRawResponse
@@ -912,6 +986,9 @@ def __init__(self, client: AsyncOpenAI) -> None:
 
     @cached_property
     def completions(self) -> completions.AsyncCompletionsWithRawResponse:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import AsyncCompletionsWithRawResponse
 
         return AsyncCompletionsWithRawResponse(self._client.completions)
@@ -924,18 +1001,25 @@ def chat(self) -> chat.AsyncChatWithRawResponse:
 
     @cached_property
     def embeddings(self) -> embeddings.AsyncEmbeddingsWithRawResponse:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import AsyncEmbeddingsWithRawResponse
 
         return AsyncEmbeddingsWithRawResponse(self._client.embeddings)
 
     @cached_property
     def files(self) -> files.AsyncFilesWithRawResponse:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import AsyncFilesWithRawResponse
 
         return AsyncFilesWithRawResponse(self._client.files)
 
     @cached_property
     def images(self) -> images.AsyncImagesWithRawResponse:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import AsyncImagesWithRawResponse
 
         return AsyncImagesWithRawResponse(self._client.images)
@@ -948,12 +1032,16 @@ def audio(self) -> audio.AsyncAudioWithRawResponse:
 
     @cached_property
     def moderations(self) -> moderations.AsyncModerationsWithRawResponse:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import AsyncModerationsWithRawResponse
 
         return AsyncModerationsWithRawResponse(self._client.moderations)
 
     @cached_property
     def models(self) -> models.AsyncModelsWithRawResponse:
+        """List and describe the various models available in the API."""
         from .resources.models import AsyncModelsWithRawResponse
 
         return AsyncModelsWithRawResponse(self._client.models)
@@ -978,12 +1066,14 @@ def beta(self) -> beta.AsyncBetaWithRawResponse:
 
     @cached_property
     def batches(self) -> batches.AsyncBatchesWithRawResponse:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import AsyncBatchesWithRawResponse
 
         return AsyncBatchesWithRawResponse(self._client.batches)
 
     @cached_property
     def uploads(self) -> uploads.AsyncUploadsWithRawResponse:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import AsyncUploadsWithRawResponse
 
         return AsyncUploadsWithRawResponse(self._client.uploads)
@@ -1002,12 +1092,14 @@ def realtime(self) -> realtime.AsyncRealtimeWithRawResponse:
 
     @cached_property
     def conversations(self) -> conversations.AsyncConversationsWithRawResponse:
+        """Manage conversations and conversation items."""
         from .resources.conversations import AsyncConversationsWithRawResponse
 
         return AsyncConversationsWithRawResponse(self._client.conversations)
 
     @cached_property
     def evals(self) -> evals.AsyncEvalsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import AsyncEvalsWithRawResponse
 
         return AsyncEvalsWithRawResponse(self._client.evals)
@@ -1018,6 +1110,12 @@ def containers(self) -> containers.AsyncContainersWithRawResponse:
 
         return AsyncContainersWithRawResponse(self._client.containers)
 
+    @cached_property
+    def skills(self) -> skills.AsyncSkillsWithRawResponse:
+        from .resources.skills import AsyncSkillsWithRawResponse
+
+        return AsyncSkillsWithRawResponse(self._client.skills)
+
     @cached_property
     def videos(self) -> videos.AsyncVideosWithRawResponse:
         from .resources.videos import AsyncVideosWithRawResponse
@@ -1033,6 +1131,9 @@ def __init__(self, client: OpenAI) -> None:
 
     @cached_property
     def completions(self) -> completions.CompletionsWithStreamingResponse:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import CompletionsWithStreamingResponse
 
         return CompletionsWithStreamingResponse(self._client.completions)
@@ -1045,18 +1146,25 @@ def chat(self) -> chat.ChatWithStreamingResponse:
 
     @cached_property
     def embeddings(self) -> embeddings.EmbeddingsWithStreamingResponse:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import EmbeddingsWithStreamingResponse
 
         return EmbeddingsWithStreamingResponse(self._client.embeddings)
 
     @cached_property
     def files(self) -> files.FilesWithStreamingResponse:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import FilesWithStreamingResponse
 
         return FilesWithStreamingResponse(self._client.files)
 
     @cached_property
     def images(self) -> images.ImagesWithStreamingResponse:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import ImagesWithStreamingResponse
 
         return ImagesWithStreamingResponse(self._client.images)
@@ -1069,12 +1177,16 @@ def audio(self) -> audio.AudioWithStreamingResponse:
 
     @cached_property
     def moderations(self) -> moderations.ModerationsWithStreamingResponse:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import ModerationsWithStreamingResponse
 
         return ModerationsWithStreamingResponse(self._client.moderations)
 
     @cached_property
     def models(self) -> models.ModelsWithStreamingResponse:
+        """List and describe the various models available in the API."""
         from .resources.models import ModelsWithStreamingResponse
 
         return ModelsWithStreamingResponse(self._client.models)
@@ -1099,12 +1211,14 @@ def beta(self) -> beta.BetaWithStreamingResponse:
 
     @cached_property
     def batches(self) -> batches.BatchesWithStreamingResponse:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import BatchesWithStreamingResponse
 
         return BatchesWithStreamingResponse(self._client.batches)
 
     @cached_property
     def uploads(self) -> uploads.UploadsWithStreamingResponse:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import UploadsWithStreamingResponse
 
         return UploadsWithStreamingResponse(self._client.uploads)
@@ -1123,12 +1237,14 @@ def realtime(self) -> realtime.RealtimeWithStreamingResponse:
 
     @cached_property
     def conversations(self) -> conversations.ConversationsWithStreamingResponse:
+        """Manage conversations and conversation items."""
         from .resources.conversations import ConversationsWithStreamingResponse
 
         return ConversationsWithStreamingResponse(self._client.conversations)
 
     @cached_property
     def evals(self) -> evals.EvalsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import EvalsWithStreamingResponse
 
         return EvalsWithStreamingResponse(self._client.evals)
@@ -1139,6 +1255,12 @@ def containers(self) -> containers.ContainersWithStreamingResponse:
 
         return ContainersWithStreamingResponse(self._client.containers)
 
+    @cached_property
+    def skills(self) -> skills.SkillsWithStreamingResponse:
+        from .resources.skills import SkillsWithStreamingResponse
+
+        return SkillsWithStreamingResponse(self._client.skills)
+
     @cached_property
     def videos(self) -> videos.VideosWithStreamingResponse:
         from .resources.videos import VideosWithStreamingResponse
@@ -1154,6 +1276,9 @@ def __init__(self, client: AsyncOpenAI) -> None:
 
     @cached_property
     def completions(self) -> completions.AsyncCompletionsWithStreamingResponse:
+        """
+        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+        """
         from .resources.completions import AsyncCompletionsWithStreamingResponse
 
         return AsyncCompletionsWithStreamingResponse(self._client.completions)
@@ -1166,18 +1291,25 @@ def chat(self) -> chat.AsyncChatWithStreamingResponse:
 
     @cached_property
     def embeddings(self) -> embeddings.AsyncEmbeddingsWithStreamingResponse:
+        """
+        Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+        """
         from .resources.embeddings import AsyncEmbeddingsWithStreamingResponse
 
         return AsyncEmbeddingsWithStreamingResponse(self._client.embeddings)
 
     @cached_property
     def files(self) -> files.AsyncFilesWithStreamingResponse:
+        """
+        Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+        """
         from .resources.files import AsyncFilesWithStreamingResponse
 
         return AsyncFilesWithStreamingResponse(self._client.files)
 
     @cached_property
     def images(self) -> images.AsyncImagesWithStreamingResponse:
+        """Given a prompt and/or an input image, the model will generate a new image."""
         from .resources.images import AsyncImagesWithStreamingResponse
 
         return AsyncImagesWithStreamingResponse(self._client.images)
@@ -1190,12 +1322,16 @@ def audio(self) -> audio.AsyncAudioWithStreamingResponse:
 
     @cached_property
     def moderations(self) -> moderations.AsyncModerationsWithStreamingResponse:
+        """
+        Given text and/or image inputs, classifies if those inputs are potentially harmful.
+        """
         from .resources.moderations import AsyncModerationsWithStreamingResponse
 
         return AsyncModerationsWithStreamingResponse(self._client.moderations)
 
     @cached_property
     def models(self) -> models.AsyncModelsWithStreamingResponse:
+        """List and describe the various models available in the API."""
         from .resources.models import AsyncModelsWithStreamingResponse
 
         return AsyncModelsWithStreamingResponse(self._client.models)
@@ -1220,12 +1356,14 @@ def beta(self) -> beta.AsyncBetaWithStreamingResponse:
 
     @cached_property
     def batches(self) -> batches.AsyncBatchesWithStreamingResponse:
+        """Create large batches of API requests to run asynchronously."""
         from .resources.batches import AsyncBatchesWithStreamingResponse
 
         return AsyncBatchesWithStreamingResponse(self._client.batches)
 
     @cached_property
     def uploads(self) -> uploads.AsyncUploadsWithStreamingResponse:
+        """Use Uploads to upload large files in multiple parts."""
         from .resources.uploads import AsyncUploadsWithStreamingResponse
 
         return AsyncUploadsWithStreamingResponse(self._client.uploads)
@@ -1244,12 +1382,14 @@ def realtime(self) -> realtime.AsyncRealtimeWithStreamingResponse:
 
     @cached_property
     def conversations(self) -> conversations.AsyncConversationsWithStreamingResponse:
+        """Manage conversations and conversation items."""
         from .resources.conversations import AsyncConversationsWithStreamingResponse
 
         return AsyncConversationsWithStreamingResponse(self._client.conversations)
 
     @cached_property
     def evals(self) -> evals.AsyncEvalsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         from .resources.evals import AsyncEvalsWithStreamingResponse
 
         return AsyncEvalsWithStreamingResponse(self._client.evals)
@@ -1260,6 +1400,12 @@ def containers(self) -> containers.AsyncContainersWithStreamingResponse:
 
         return AsyncContainersWithStreamingResponse(self._client.containers)
 
+    @cached_property
+    def skills(self) -> skills.AsyncSkillsWithStreamingResponse:
+        from .resources.skills import AsyncSkillsWithStreamingResponse
+
+        return AsyncSkillsWithStreamingResponse(self._client.skills)
+
     @cached_property
     def videos(self) -> videos.AsyncVideosWithStreamingResponse:
         from .resources.videos import AsyncVideosWithStreamingResponse
diff --git a/portkey_ai/_vendor/openai/_compat.py b/portkey_ai/_vendor/openai/_compat.py
index 73a1f3ea..340c91a6 100644
--- a/portkey_ai/_vendor/openai/_compat.py
+++ b/portkey_ai/_vendor/openai/_compat.py
@@ -2,7 +2,7 @@
 
 from typing import TYPE_CHECKING, Any, Union, Generic, TypeVar, Callable, cast, overload
 from datetime import date, datetime
-from typing_extensions import Self, Literal
+from typing_extensions import Self, Literal, TypedDict
 
 import pydantic
 from pydantic.fields import FieldInfo
@@ -131,6 +131,10 @@ def model_json(model: pydantic.BaseModel, *, indent: int | None = None) -> str:
     return model.model_dump_json(indent=indent)
 
 
+class _ModelDumpKwargs(TypedDict, total=False):
+    by_alias: bool
+
+
 def model_dump(
     model: pydantic.BaseModel,
     *,
@@ -139,8 +143,12 @@ def model_dump(
     exclude_defaults: bool = False,
     warnings: bool = True,
     mode: Literal["json", "python"] = "python",
+    by_alias: bool | None = None,
 ) -> dict[str, Any]:
     if (not PYDANTIC_V1) or hasattr(model, "model_dump"):
+        kwargs: _ModelDumpKwargs = {}
+        if by_alias is not None:
+            kwargs["by_alias"] = by_alias
         return model.model_dump(
             mode=mode,
             exclude=exclude,
@@ -148,13 +156,12 @@ def model_dump(
             exclude_defaults=exclude_defaults,
             # warnings are not supported in Pydantic v1
             warnings=True if PYDANTIC_V1 else warnings,
+            **kwargs,
         )
     return cast(
         "dict[str, Any]",
         model.dict(  # pyright: ignore[reportDeprecated, reportUnnecessaryCast]
-            exclude=exclude,
-            exclude_unset=exclude_unset,
-            exclude_defaults=exclude_defaults,
+            exclude=exclude, exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, by_alias=bool(by_alias)
         ),
     )
 
diff --git a/portkey_ai/_vendor/openai/_legacy_response.py b/portkey_ai/_vendor/openai/_legacy_response.py
index cfabaa2f..1a58c2df 100644
--- a/portkey_ai/_vendor/openai/_legacy_response.py
+++ b/portkey_ai/_vendor/openai/_legacy_response.py
@@ -221,6 +221,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                         ),
                         response=self.http_response,
                         client=cast(Any, self._client),
+                        options=self._options,
                     ),
                 )
 
@@ -231,6 +232,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                         cast_to=extract_stream_chunk_type(self._stream_cls),
                         response=self.http_response,
                         client=cast(Any, self._client),
+                        options=self._options,
                     ),
                 )
 
@@ -244,6 +246,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                     cast_to=cast_to,
                     response=self.http_response,
                     client=cast(Any, self._client),
+                    options=self._options,
                 ),
             )
 
diff --git a/portkey_ai/_vendor/openai/_models.py b/portkey_ai/_vendor/openai/_models.py
index 5cca20c6..810e49df 100644
--- a/portkey_ai/_vendor/openai/_models.py
+++ b/portkey_ai/_vendor/openai/_models.py
@@ -845,6 +845,7 @@ class FinalRequestOptionsInput(TypedDict, total=False):
     json_data: Body
     extra_json: AnyMapping
     follow_redirects: bool
+    synthesize_event_and_data: bool
 
 
 @final
@@ -859,6 +860,7 @@ class FinalRequestOptions(pydantic.BaseModel):
     idempotency_key: Union[str, None] = None
     post_parser: Union[Callable[[Any], Any], NotGiven] = NotGiven()
     follow_redirects: Union[bool, None] = None
+    synthesize_event_and_data: Optional[bool] = None
 
     content: Union[bytes, bytearray, IO[bytes], Iterable[bytes], AsyncIterable[bytes], None] = None
     # It should be noted that we cannot use `json` here as that would override
diff --git a/portkey_ai/_vendor/openai/_module_client.py b/portkey_ai/_vendor/openai/_module_client.py
index d0d72188..98901c04 100644
--- a/portkey_ai/_vendor/openai/_module_client.py
+++ b/portkey_ai/_vendor/openai/_module_client.py
@@ -11,7 +11,6 @@
     from .resources.models import Models
     from .resources.videos import Videos
     from .resources.batches import Batches
-    from .resources.webhooks import Webhooks
     from .resources.beta.beta import Beta
     from .resources.chat.chat import Chat
     from .resources.embeddings import Embeddings
@@ -19,8 +18,10 @@
     from .resources.completions import Completions
     from .resources.evals.evals import Evals
     from .resources.moderations import Moderations
+    from .resources.skills.skills import Skills
     from .resources.uploads.uploads import Uploads
     from .resources.realtime.realtime import Realtime
+    from .resources.webhooks.webhooks import Webhooks
     from .resources.responses.responses import Responses
     from .resources.containers.containers import Containers
     from .resources.fine_tuning.fine_tuning import FineTuning
@@ -73,6 +74,12 @@ def __load__(self) -> Models:
         return _load_client().models
 
 
+class SkillsProxy(LazyProxy["Skills"]):
+    @override
+    def __load__(self) -> Skills:
+        return _load_client().skills
+
+
 class VideosProxy(LazyProxy["Videos"]):
     @override
     def __load__(self) -> Videos:
@@ -158,6 +165,7 @@ def __load__(self) -> Conversations:
 evals: Evals = EvalsProxy().__as_proxied__()
 images: Images = ImagesProxy().__as_proxied__()
 models: Models = ModelsProxy().__as_proxied__()
+skills: Skills = SkillsProxy().__as_proxied__()
 videos: Videos = VideosProxy().__as_proxied__()
 batches: Batches = BatchesProxy().__as_proxied__()
 uploads: Uploads = UploadsProxy().__as_proxied__()
diff --git a/portkey_ai/_vendor/openai/_response.py b/portkey_ai/_vendor/openai/_response.py
index 350da38d..f286d38e 100644
--- a/portkey_ai/_vendor/openai/_response.py
+++ b/portkey_ai/_vendor/openai/_response.py
@@ -152,6 +152,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                         ),
                         response=self.http_response,
                         client=cast(Any, self._client),
+                        options=self._options,
                     ),
                 )
 
@@ -162,6 +163,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                         cast_to=extract_stream_chunk_type(self._stream_cls),
                         response=self.http_response,
                         client=cast(Any, self._client),
+                        options=self._options,
                     ),
                 )
 
@@ -175,6 +177,7 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
                     cast_to=cast_to,
                     response=self.http_response,
                     client=cast(Any, self._client),
+                    options=self._options,
                 ),
             )
 
diff --git a/portkey_ai/_vendor/openai/_streaming.py b/portkey_ai/_vendor/openai/_streaming.py
index 61a74266..45c13cc1 100644
--- a/portkey_ai/_vendor/openai/_streaming.py
+++ b/portkey_ai/_vendor/openai/_streaming.py
@@ -4,7 +4,7 @@
 import json
 import inspect
 from types import TracebackType
-from typing import TYPE_CHECKING, Any, Generic, TypeVar, Iterator, AsyncIterator, cast
+from typing import TYPE_CHECKING, Any, Generic, TypeVar, Iterator, Optional, AsyncIterator, cast
 from typing_extensions import Self, Protocol, TypeGuard, override, get_origin, runtime_checkable
 
 import httpx
@@ -14,6 +14,7 @@
 
 if TYPE_CHECKING:
     from ._client import OpenAI, AsyncOpenAI
+    from ._models import FinalRequestOptions
 
 
 _T = TypeVar("_T")
@@ -23,7 +24,7 @@ class Stream(Generic[_T]):
     """Provides the core interface to iterate over a synchronous stream response."""
 
     response: httpx.Response
-
+    _options: Optional[FinalRequestOptions] = None
     _decoder: SSEBytesDecoder
 
     def __init__(
@@ -32,10 +33,12 @@ def __init__(
         cast_to: type[_T],
         response: httpx.Response,
         client: OpenAI,
+        options: Optional[FinalRequestOptions] = None,
     ) -> None:
         self.response = response
         self._cast_to = cast_to
         self._client = client
+        self._options = options
         self._decoder = client._make_sse_decoder()
         self._iterator = self.__stream__()
 
@@ -95,8 +98,13 @@ def __stream__(self) -> Iterator[_T]:
                             body=data["error"],
                         )
 
-                    yield process_data(data=data, cast_to=cast_to, response=response)
-
+                    yield process_data(
+                        data={"data": data, "event": sse.event}
+                        if self._options is not None and self._options.synthesize_event_and_data
+                        else data,
+                        cast_to=cast_to,
+                        response=response,
+                    )
         finally:
             # Ensure the response is closed even if the consumer doesn't read all data
             response.close()
@@ -125,7 +133,7 @@ class AsyncStream(Generic[_T]):
     """Provides the core interface to iterate over an asynchronous stream response."""
 
     response: httpx.Response
-
+    _options: Optional[FinalRequestOptions] = None
     _decoder: SSEDecoder | SSEBytesDecoder
 
     def __init__(
@@ -134,10 +142,12 @@ def __init__(
         cast_to: type[_T],
         response: httpx.Response,
         client: AsyncOpenAI,
+        options: Optional[FinalRequestOptions] = None,
     ) -> None:
         self.response = response
         self._cast_to = cast_to
         self._client = client
+        self._options = options
         self._decoder = client._make_sse_decoder()
         self._iterator = self.__stream__()
 
@@ -198,8 +208,13 @@ async def __stream__(self) -> AsyncIterator[_T]:
                             body=data["error"],
                         )
 
-                    yield process_data(data=data, cast_to=cast_to, response=response)
-
+                    yield process_data(
+                        data={"data": data, "event": sse.event}
+                        if self._options is not None and self._options.synthesize_event_and_data
+                        else data,
+                        cast_to=cast_to,
+                        response=response,
+                    )
         finally:
             # Ensure the response is closed even if the consumer doesn't read all data
             await response.aclose()
diff --git a/portkey_ai/_vendor/openai/_types.py b/portkey_ai/_vendor/openai/_types.py
index 42f9df23..c55c6f80 100644
--- a/portkey_ai/_vendor/openai/_types.py
+++ b/portkey_ai/_vendor/openai/_types.py
@@ -122,6 +122,7 @@ class RequestOptions(TypedDict, total=False):
     extra_json: AnyMapping
     idempotency_key: str
     follow_redirects: bool
+    synthesize_event_and_data: bool
 
 
 # Sentinel class used until PEP 0661 is accepted
diff --git a/portkey_ai/_vendor/openai/_utils/__init__.py b/portkey_ai/_vendor/openai/_utils/__init__.py
index 963c83b6..52853aaf 100644
--- a/portkey_ai/_vendor/openai/_utils/__init__.py
+++ b/portkey_ai/_vendor/openai/_utils/__init__.py
@@ -1,4 +1,5 @@
 from ._logs import SensitiveHeadersFilter as SensitiveHeadersFilter
+from ._path import path_template as path_template
 from ._sync import asyncify as asyncify
 from ._proxy import LazyProxy as LazyProxy
 from ._utils import (
diff --git a/portkey_ai/_vendor/openai/_utils/_compat.py b/portkey_ai/_vendor/openai/_utils/_compat.py
index dd703233..2c70b299 100644
--- a/portkey_ai/_vendor/openai/_utils/_compat.py
+++ b/portkey_ai/_vendor/openai/_utils/_compat.py
@@ -26,7 +26,7 @@ def is_union(tp: Optional[Type[Any]]) -> bool:
     else:
         import types
 
-        return tp is Union or tp is types.UnionType
+        return tp is Union or tp is types.UnionType  # type: ignore[comparison-overlap]
 
 
 def is_typeddict(tp: Type[Any]) -> bool:
diff --git a/portkey_ai/_vendor/openai/_utils/_json.py b/portkey_ai/_vendor/openai/_utils/_json.py
new file mode 100644
index 00000000..60584214
--- /dev/null
+++ b/portkey_ai/_vendor/openai/_utils/_json.py
@@ -0,0 +1,35 @@
+import json
+from typing import Any
+from datetime import datetime
+from typing_extensions import override
+
+import pydantic
+
+from .._compat import model_dump
+
+
+def openapi_dumps(obj: Any) -> bytes:
+    """
+    Serialize an object to UTF-8 encoded JSON bytes.
+
+    Extends the standard json.dumps with support for additional types
+    commonly used in the SDK, such as `datetime`, `pydantic.BaseModel`, etc.
+    """
+    return json.dumps(
+        obj,
+        cls=_CustomEncoder,
+        # Uses the same defaults as httpx's JSON serialization
+        ensure_ascii=False,
+        separators=(",", ":"),
+        allow_nan=False,
+    ).encode()
+
+
+class _CustomEncoder(json.JSONEncoder):
+    @override
+    def default(self, o: Any) -> Any:
+        if isinstance(o, datetime):
+            return o.isoformat()
+        if isinstance(o, pydantic.BaseModel):
+            return model_dump(o, exclude_unset=True, mode="json", by_alias=True)
+        return super().default(o)
diff --git a/portkey_ai/_vendor/openai/_utils/_path.py b/portkey_ai/_vendor/openai/_utils/_path.py
new file mode 100644
index 00000000..4d6e1e4c
--- /dev/null
+++ b/portkey_ai/_vendor/openai/_utils/_path.py
@@ -0,0 +1,127 @@
+from __future__ import annotations
+
+import re
+from typing import (
+    Any,
+    Mapping,
+    Callable,
+)
+from urllib.parse import quote
+
+# Matches '.' or '..' where each dot is either literal or percent-encoded (%2e / %2E).
+_DOT_SEGMENT_RE = re.compile(r"^(?:\.|%2[eE]){1,2}$")
+
+_PLACEHOLDER_RE = re.compile(r"\{(\w+)\}")
+
+
+def _quote_path_segment_part(value: str) -> str:
+    """Percent-encode `value` for use in a URI path segment.
+
+    Considers characters not in `pchar` set from RFC 3986 §3.3 to be unsafe.
+    https://datatracker.ietf.org/doc/html/rfc3986#section-3.3
+    """
+    # quote() already treats unreserved characters (letters, digits, and -._~)
+    # as safe, so we only need to add sub-delims, ':', and '@'.
+    # Notably, unlike the default `safe` for quote(), / is unsafe and must be quoted.
+    return quote(value, safe="!$&'()*+,;=:@")
+
+
+def _quote_query_part(value: str) -> str:
+    """Percent-encode `value` for use in a URI query string.
+
+    Considers &, = and characters not in `query` set from RFC 3986 §3.4 to be unsafe.
+    https://datatracker.ietf.org/doc/html/rfc3986#section-3.4
+    """
+    return quote(value, safe="!$'()*+,;:@/?")
+
+
+def _quote_fragment_part(value: str) -> str:
+    """Percent-encode `value` for use in a URI fragment.
+
+    Considers characters not in `fragment` set from RFC 3986 §3.5 to be unsafe.
+    https://datatracker.ietf.org/doc/html/rfc3986#section-3.5
+    """
+    return quote(value, safe="!$&'()*+,;=:@/?")
+
+
+def _interpolate(
+    template: str,
+    values: Mapping[str, Any],
+    quoter: Callable[[str], str],
+) -> str:
+    """Replace {name} placeholders in `template`, quoting each value with `quoter`.
+
+    Placeholder names are looked up in `values`.
+
+    Raises:
+        KeyError: If a placeholder is not found in `values`.
+    """
+    # re.split with a capturing group returns alternating
+    # [text, name, text, name, ..., text] elements.
+    parts = _PLACEHOLDER_RE.split(template)
+
+    for i in range(1, len(parts), 2):
+        name = parts[i]
+        if name not in values:
+            raise KeyError(f"a value for placeholder {{{name}}} was not provided")
+        val = values[name]
+        if val is None:
+            parts[i] = "null"
+        elif isinstance(val, bool):
+            parts[i] = "true" if val else "false"
+        else:
+            parts[i] = quoter(str(values[name]))
+
+    return "".join(parts)
+
+
+def path_template(template: str, /, **kwargs: Any) -> str:
+    """Interpolate {name} placeholders in `template` from keyword arguments.
+
+    Args:
+        template: The template string containing {name} placeholders.
+        **kwargs: Keyword arguments to interpolate into the template.
+
+    Returns:
+        The template with placeholders interpolated and percent-encoded.
+
+        Safe characters for percent-encoding are dependent on the URI component.
+        Placeholders in path and fragment portions are percent-encoded where the `segment`
+        and `fragment` sets from RFC 3986 respectively are considered safe.
+        Placeholders in the query portion are percent-encoded where the `query` set from
+        RFC 3986 §3.3 is considered safe except for = and & characters.
+
+    Raises:
+        KeyError: If a placeholder is not found in `kwargs`.
+        ValueError: If resulting path contains /./ or /../ segments (including percent-encoded dot-segments).
+    """
+    # Split the template into path, query, and fragment portions.
+    fragment_template: str | None = None
+    query_template: str | None = None
+
+    rest = template
+    if "#" in rest:
+        rest, fragment_template = rest.split("#", 1)
+    if "?" in rest:
+        rest, query_template = rest.split("?", 1)
+    path_template = rest
+
+    # Interpolate each portion with the appropriate quoting rules.
+    path_result = _interpolate(path_template, kwargs, _quote_path_segment_part)
+
+    # Reject dot-segments (. and ..) in the final assembled path.  The check
+    # runs after interpolation so that adjacent placeholders or a mix of static
+    # text and placeholders that together form a dot-segment are caught.
+    # Also reject percent-encoded dot-segments to protect against incorrectly
+    # implemented normalization in servers/proxies.
+    for segment in path_result.split("/"):
+        if _DOT_SEGMENT_RE.match(segment):
+            raise ValueError(f"Constructed path {path_result!r} contains dot-segment {segment!r} which is not allowed")
+
+    result = path_result
+    if query_template is not None:
+        result += "?" + _interpolate(query_template, kwargs, _quote_query_part)
+    if fragment_template is not None:
+        result += "#" + _interpolate(fragment_template, kwargs, _quote_fragment_part)
+
+    return result
diff --git a/portkey_ai/_vendor/openai/_version.py b/portkey_ai/_vendor/openai/_version.py
index eb61bdd2..788e82e0 100644
--- a/portkey_ai/_vendor/openai/_version.py
+++ b/portkey_ai/_vendor/openai/_version.py
@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "openai"
-__version__ = "2.16.0"  # x-release-please-version
+__version__ = "2.30.0"  # x-release-please-version
diff --git a/portkey_ai/_vendor/openai/lib/_parsing/__init__.py b/portkey_ai/_vendor/openai/lib/_parsing/__init__.py
index 4d454c3a..08591f43 100644
--- a/portkey_ai/_vendor/openai/lib/_parsing/__init__.py
+++ b/portkey_ai/_vendor/openai/lib/_parsing/__init__.py
@@ -6,7 +6,6 @@
     validate_input_tools as validate_input_tools,
     parse_chat_completion as parse_chat_completion,
     get_input_tool_by_name as get_input_tool_by_name,
-    solve_response_format_t as solve_response_format_t,
     parse_function_tool_arguments as parse_function_tool_arguments,
     type_to_response_format_param as type_to_response_format_param,
 )
diff --git a/portkey_ai/_vendor/openai/lib/_parsing/_completions.py b/portkey_ai/_vendor/openai/lib/_parsing/_completions.py
index 7903732a..7a1bded1 100644
--- a/portkey_ai/_vendor/openai/lib/_parsing/_completions.py
+++ b/portkey_ai/_vendor/openai/lib/_parsing/_completions.py
@@ -138,7 +138,7 @@ def parse_chat_completion(
 
         choices.append(
             construct_type_unchecked(
-                type_=cast(Any, ParsedChoice)[solve_response_format_t(response_format)],
+                type_=ParsedChoice[ResponseFormatT],
                 value={
                     **choice.to_dict(),
                     "message": {
@@ -153,15 +153,12 @@ def parse_chat_completion(
             )
         )
 
-    return cast(
-        ParsedChatCompletion[ResponseFormatT],
-        construct_type_unchecked(
-            type_=cast(Any, ParsedChatCompletion)[solve_response_format_t(response_format)],
-            value={
-                **chat_completion.to_dict(),
-                "choices": choices,
-            },
-        ),
+    return construct_type_unchecked(
+        type_=ParsedChatCompletion[ResponseFormatT],
+        value={
+            **chat_completion.to_dict(),
+            "choices": choices,
+        },
     )
 
 
@@ -201,20 +198,6 @@ def maybe_parse_content(
     return None
 
 
-def solve_response_format_t(
-    response_format: type[ResponseFormatT] | ResponseFormatParam | Omit,
-) -> type[ResponseFormatT]:
-    """Return the runtime type for the given response format.
-
-    If no response format is given, or if we won't auto-parse the response format
-    then we default to `None`.
-    """
-    if has_rich_response_format(response_format):
-        return response_format
-
-    return cast("type[ResponseFormatT]", _default_response_format)
-
-
 def has_parseable_input(
     *,
     response_format: type | ResponseFormatParam | Omit,
diff --git a/portkey_ai/_vendor/openai/lib/_parsing/_responses.py b/portkey_ai/_vendor/openai/lib/_parsing/_responses.py
index 4bed171d..8853a074 100644
--- a/portkey_ai/_vendor/openai/lib/_parsing/_responses.py
+++ b/portkey_ai/_vendor/openai/lib/_parsing/_responses.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import json
-from typing import TYPE_CHECKING, Any, List, Iterable, cast
+from typing import TYPE_CHECKING, List, Iterable, cast
 from typing_extensions import TypeVar, assert_never
 
 import pydantic
@@ -12,7 +12,7 @@
 from ..._compat import PYDANTIC_V1, model_parse_json
 from ..._models import construct_type_unchecked
 from .._pydantic import is_basemodel_type, is_dataclass_like_type
-from ._completions import solve_response_format_t, type_to_response_format_param
+from ._completions import type_to_response_format_param
 from ...types.responses import (
     Response,
     ToolParam,
@@ -56,7 +56,6 @@ def parse_response(
     input_tools: Iterable[ToolParam] | Omit | None,
     response: Response | ParsedResponse[object],
 ) -> ParsedResponse[TextFormatT]:
-    solved_t = solve_response_format_t(text_format)
     output_list: List[ParsedResponseOutputItem[TextFormatT]] = []
 
     for output in response.output:
@@ -69,7 +68,7 @@ def parse_response(
 
                 content_list.append(
                     construct_type_unchecked(
-                        type_=cast(Any, ParsedResponseOutputText)[solved_t],
+                        type_=ParsedResponseOutputText[TextFormatT],
                         value={
                             **item.to_dict(),
                             "parsed": parse_text(item.text, text_format=text_format),
@@ -79,7 +78,7 @@ def parse_response(
 
             output_list.append(
                 construct_type_unchecked(
-                    type_=cast(Any, ParsedResponseOutputMessage)[solved_t],
+                    type_=ParsedResponseOutputMessage[TextFormatT],
                     value={
                         **output.to_dict(),
                         "content": content_list,
@@ -102,13 +101,17 @@ def parse_response(
             output.type == "computer_call"
             or output.type == "file_search_call"
             or output.type == "web_search_call"
+            or output.type == "tool_search_call"
+            or output.type == "tool_search_output"
             or output.type == "reasoning"
             or output.type == "compaction"
             or output.type == "mcp_call"
             or output.type == "mcp_approval_request"
+            or output.type == "mcp_approval_response"
             or output.type == "image_generation_call"
             or output.type == "code_interpreter_call"
             or output.type == "local_shell_call"
+            or output.type == "local_shell_call_output"
             or output.type == "shell_call"
             or output.type == "shell_call_output"
             or output.type == "apply_patch_call"
@@ -116,6 +119,9 @@ def parse_response(
             or output.type == "mcp_list_tools"
             or output.type == "exec"
             or output.type == "custom_tool_call"
+            or output.type == "function_call_output"
+            or output.type == "computer_call_output"
+            or output.type == "custom_tool_call_output"
         ):
             output_list.append(output)
         elif TYPE_CHECKING:  # type: ignore
@@ -123,15 +129,12 @@ def parse_response(
         else:
             output_list.append(output)
 
-    return cast(
-        ParsedResponse[TextFormatT],
-        construct_type_unchecked(
-            type_=cast(Any, ParsedResponse)[solved_t],
-            value={
-                **response.to_dict(),
-                "output": output_list,
-            },
-        ),
+    return construct_type_unchecked(
+        type_=ParsedResponse[TextFormatT],
+        value={
+            **response.to_dict(),
+            "output": output_list,
+        },
     )
 
 
diff --git a/portkey_ai/_vendor/openai/lib/streaming/chat/_completions.py b/portkey_ai/_vendor/openai/lib/streaming/chat/_completions.py
index c4610e21..5f072caf 100644
--- a/portkey_ai/_vendor/openai/lib/streaming/chat/_completions.py
+++ b/portkey_ai/_vendor/openai/lib/streaming/chat/_completions.py
@@ -33,7 +33,6 @@
     maybe_parse_content,
     parse_chat_completion,
     get_input_tool_by_name,
-    solve_response_format_t,
     parse_function_tool_arguments,
 )
 from ...._streaming import Stream, AsyncStream
@@ -663,7 +662,7 @@ def _content_done_events(
                     # type variable, e.g. `ContentDoneEvent[MyModelType]`
                     cast(  # pyright: ignore[reportUnnecessaryCast]
                         "type[ContentDoneEvent[ResponseFormatT]]",
-                        cast(Any, ContentDoneEvent)[solve_response_format_t(response_format)],
+                        cast(Any, ContentDoneEvent),
                     ),
                     type="content.done",
                     content=choice_snapshot.message.content,
diff --git a/portkey_ai/_vendor/openai/resources/__init__.py b/portkey_ai/_vendor/openai/resources/__init__.py
index b793fbc7..ed030f71 100644
--- a/portkey_ai/_vendor/openai/resources/__init__.py
+++ b/portkey_ai/_vendor/openai/resources/__init__.py
@@ -56,6 +56,14 @@
     ModelsWithStreamingResponse,
     AsyncModelsWithStreamingResponse,
 )
+from .skills import (
+    Skills,
+    AsyncSkills,
+    SkillsWithRawResponse,
+    AsyncSkillsWithRawResponse,
+    SkillsWithStreamingResponse,
+    AsyncSkillsWithStreamingResponse,
+)
 from .videos import (
     Videos,
     AsyncVideos,
@@ -220,6 +228,12 @@
     "AsyncContainersWithRawResponse",
     "ContainersWithStreamingResponse",
     "AsyncContainersWithStreamingResponse",
+    "Skills",
+    "AsyncSkills",
+    "SkillsWithRawResponse",
+    "AsyncSkillsWithRawResponse",
+    "SkillsWithStreamingResponse",
+    "AsyncSkillsWithStreamingResponse",
     "Videos",
     "AsyncVideos",
     "VideosWithRawResponse",
diff --git a/portkey_ai/_vendor/openai/resources/audio/audio.py b/portkey_ai/_vendor/openai/resources/audio/audio.py
index 383b7073..040a058d 100644
--- a/portkey_ai/_vendor/openai/resources/audio/audio.py
+++ b/portkey_ai/_vendor/openai/resources/audio/audio.py
@@ -35,14 +35,17 @@
 class Audio(SyncAPIResource):
     @cached_property
     def transcriptions(self) -> Transcriptions:
+        """Turn audio into text or text into audio."""
         return Transcriptions(self._client)
 
     @cached_property
     def translations(self) -> Translations:
+        """Turn audio into text or text into audio."""
         return Translations(self._client)
 
     @cached_property
     def speech(self) -> Speech:
+        """Turn audio into text or text into audio."""
         return Speech(self._client)
 
     @cached_property
@@ -68,14 +71,17 @@ def with_streaming_response(self) -> AudioWithStreamingResponse:
 class AsyncAudio(AsyncAPIResource):
     @cached_property
     def transcriptions(self) -> AsyncTranscriptions:
+        """Turn audio into text or text into audio."""
         return AsyncTranscriptions(self._client)
 
     @cached_property
     def translations(self) -> AsyncTranslations:
+        """Turn audio into text or text into audio."""
         return AsyncTranslations(self._client)
 
     @cached_property
     def speech(self) -> AsyncSpeech:
+        """Turn audio into text or text into audio."""
         return AsyncSpeech(self._client)
 
     @cached_property
@@ -104,14 +110,17 @@ def __init__(self, audio: Audio) -> None:
 
     @cached_property
     def transcriptions(self) -> TranscriptionsWithRawResponse:
+        """Turn audio into text or text into audio."""
         return TranscriptionsWithRawResponse(self._audio.transcriptions)
 
     @cached_property
     def translations(self) -> TranslationsWithRawResponse:
+        """Turn audio into text or text into audio."""
         return TranslationsWithRawResponse(self._audio.translations)
 
     @cached_property
     def speech(self) -> SpeechWithRawResponse:
+        """Turn audio into text or text into audio."""
         return SpeechWithRawResponse(self._audio.speech)
 
 
@@ -121,14 +130,17 @@ def __init__(self, audio: AsyncAudio) -> None:
 
     @cached_property
     def transcriptions(self) -> AsyncTranscriptionsWithRawResponse:
+        """Turn audio into text or text into audio."""
         return AsyncTranscriptionsWithRawResponse(self._audio.transcriptions)
 
     @cached_property
     def translations(self) -> AsyncTranslationsWithRawResponse:
+        """Turn audio into text or text into audio."""
         return AsyncTranslationsWithRawResponse(self._audio.translations)
 
     @cached_property
     def speech(self) -> AsyncSpeechWithRawResponse:
+        """Turn audio into text or text into audio."""
         return AsyncSpeechWithRawResponse(self._audio.speech)
 
 
@@ -138,14 +150,17 @@ def __init__(self, audio: Audio) -> None:
 
     @cached_property
     def transcriptions(self) -> TranscriptionsWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return TranscriptionsWithStreamingResponse(self._audio.transcriptions)
 
     @cached_property
     def translations(self) -> TranslationsWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return TranslationsWithStreamingResponse(self._audio.translations)
 
     @cached_property
     def speech(self) -> SpeechWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return SpeechWithStreamingResponse(self._audio.speech)
 
 
@@ -155,12 +170,15 @@ def __init__(self, audio: AsyncAudio) -> None:
 
     @cached_property
     def transcriptions(self) -> AsyncTranscriptionsWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return AsyncTranscriptionsWithStreamingResponse(self._audio.transcriptions)
 
     @cached_property
     def translations(self) -> AsyncTranslationsWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return AsyncTranslationsWithStreamingResponse(self._audio.translations)
 
     @cached_property
     def speech(self) -> AsyncSpeechWithStreamingResponse:
+        """Turn audio into text or text into audio."""
         return AsyncSpeechWithStreamingResponse(self._audio.speech)
diff --git a/portkey_ai/_vendor/openai/resources/audio/speech.py b/portkey_ai/_vendor/openai/resources/audio/speech.py
index f2c8d635..80dbb440 100644
--- a/portkey_ai/_vendor/openai/resources/audio/speech.py
+++ b/portkey_ai/_vendor/openai/resources/audio/speech.py
@@ -26,6 +26,8 @@
 
 
 class Speech(SyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> SpeechWithRawResponse:
         """
@@ -50,9 +52,7 @@ def create(
         *,
         input: str,
         model: Union[str, SpeechModel],
-        voice: Union[
-            str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]
-        ],
+        voice: speech_create_params.Voice,
         instructions: str | Omit = omit,
         response_format: Literal["mp3", "opus", "aac", "flac", "wav", "pcm"] | Omit = omit,
         speed: float | Omit = omit,
@@ -67,6 +67,8 @@ def create(
         """
         Generates audio from the input text.
 
+        Returns the audio file content, or a stream of audio events.
+
         Args:
           input: The text to generate audio for. The maximum length is 4096 characters.
 
@@ -76,8 +78,9 @@ def create(
 
           voice: The voice to use when generating the audio. Supported built-in voices are
               `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`,
-              `shimmer`, `verse`, `marin`, and `cedar`. Previews of the voices are available
-              in the
+              `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+              object with an `id`, for example `{ "id": "voice_1234" }`. Previews of the
+              voices are available in the
               [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
 
           instructions: Control the voice of your generated audio with additional instructions. Does not
@@ -123,6 +126,8 @@ def create(
 
 
 class AsyncSpeech(AsyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> AsyncSpeechWithRawResponse:
         """
@@ -147,9 +152,7 @@ async def create(
         *,
         input: str,
         model: Union[str, SpeechModel],
-        voice: Union[
-            str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]
-        ],
+        voice: speech_create_params.Voice,
         instructions: str | Omit = omit,
         response_format: Literal["mp3", "opus", "aac", "flac", "wav", "pcm"] | Omit = omit,
         speed: float | Omit = omit,
@@ -164,6 +167,8 @@ async def create(
         """
         Generates audio from the input text.
 
+        Returns the audio file content, or a stream of audio events.
+
         Args:
           input: The text to generate audio for. The maximum length is 4096 characters.
 
@@ -173,8 +178,9 @@ async def create(
 
           voice: The voice to use when generating the audio. Supported built-in voices are
               `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`,
-              `shimmer`, `verse`, `marin`, and `cedar`. Previews of the voices are available
-              in the
+              `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+              object with an `id`, for example `{ "id": "voice_1234" }`. Previews of the
+              voices are available in the
               [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
 
           instructions: Control the voice of your generated audio with additional instructions. Does not
diff --git a/portkey_ai/_vendor/openai/resources/audio/transcriptions.py b/portkey_ai/_vendor/openai/resources/audio/transcriptions.py
index 59953485..25e6e0cb 100644
--- a/portkey_ai/_vendor/openai/resources/audio/transcriptions.py
+++ b/portkey_ai/_vendor/openai/resources/audio/transcriptions.py
@@ -42,6 +42,8 @@
 
 
 class Transcriptions(SyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> TranscriptionsWithRawResponse:
         """
@@ -85,6 +87,9 @@ def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
@@ -235,6 +240,9 @@ def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
@@ -343,6 +351,9 @@ def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
@@ -488,6 +499,8 @@ def create(
 
 
 class AsyncTranscriptions(AsyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> AsyncTranscriptionsWithRawResponse:
         """
@@ -533,6 +546,9 @@ async def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
@@ -678,6 +694,9 @@ async def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
@@ -786,6 +805,9 @@ async def create(
         """
         Transcribes audio into the input language.
 
+        Returns a transcription object in `json`, `diarized_json`, or `verbose_json`
+        format, or a stream of transcript events.
+
         Args:
           file:
               The audio file object (not file name) to transcribe, in one of these formats:
diff --git a/portkey_ai/_vendor/openai/resources/audio/translations.py b/portkey_ai/_vendor/openai/resources/audio/translations.py
index 310f901f..0751a655 100644
--- a/portkey_ai/_vendor/openai/resources/audio/translations.py
+++ b/portkey_ai/_vendor/openai/resources/audio/translations.py
@@ -27,6 +27,8 @@
 
 
 class Translations(SyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> TranslationsWithRawResponse:
         """
@@ -170,6 +172,8 @@ def create(
 
 
 class AsyncTranslations(AsyncAPIResource):
+    """Turn audio into text or text into audio."""
+
     @cached_property
     def with_raw_response(self) -> AsyncTranslationsWithRawResponse:
         """
diff --git a/portkey_ai/_vendor/openai/resources/batches.py b/portkey_ai/_vendor/openai/resources/batches.py
index 80400839..6cdb50c2 100644
--- a/portkey_ai/_vendor/openai/resources/batches.py
+++ b/portkey_ai/_vendor/openai/resources/batches.py
@@ -10,7 +10,7 @@
 from .. import _legacy_response
 from ..types import batch_list_params, batch_create_params
 from .._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from .._utils import maybe_transform, async_maybe_transform
+from .._utils import path_template, maybe_transform, async_maybe_transform
 from .._compat import cached_property
 from .._resource import SyncAPIResource, AsyncAPIResource
 from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -23,6 +23,8 @@
 
 
 class Batches(SyncAPIResource):
+    """Create large batches of API requests to run asynchronously."""
+
     @cached_property
     def with_raw_response(self) -> BatchesWithRawResponse:
         """
@@ -47,7 +49,14 @@ def create(
         *,
         completion_window: Literal["24h"],
         endpoint: Literal[
-            "/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions", "/v1/moderations"
+            "/v1/responses",
+            "/v1/chat/completions",
+            "/v1/embeddings",
+            "/v1/completions",
+            "/v1/moderations",
+            "/v1/images/generations",
+            "/v1/images/edits",
+            "/v1/videos",
         ],
         input_file_id: str,
         metadata: Optional[Metadata] | Omit = omit,
@@ -68,7 +77,8 @@ def create(
 
           endpoint: The endpoint to be used for all requests in the batch. Currently
               `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, `/v1/completions`,
-              and `/v1/moderations` are supported. Note that `/v1/embeddings` batches are also
+              `/v1/moderations`, `/v1/images/generations`, `/v1/images/edits`, and
+              `/v1/videos` are supported. Note that `/v1/embeddings` batches are also
               restricted to a maximum of 50,000 embedding inputs across all requests in the
               batch.
 
@@ -144,7 +154,7 @@ def retrieve(
         if not batch_id:
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         return self._get(
-            f"/batches/{batch_id}",
+            path_template("/batches/{batch_id}", batch_id=batch_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -232,7 +242,7 @@ def cancel(
         if not batch_id:
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         return self._post(
-            f"/batches/{batch_id}/cancel",
+            path_template("/batches/{batch_id}/cancel", batch_id=batch_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -241,6 +251,8 @@ def cancel(
 
 
 class AsyncBatches(AsyncAPIResource):
+    """Create large batches of API requests to run asynchronously."""
+
     @cached_property
     def with_raw_response(self) -> AsyncBatchesWithRawResponse:
         """
@@ -265,7 +277,14 @@ async def create(
         *,
         completion_window: Literal["24h"],
         endpoint: Literal[
-            "/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions", "/v1/moderations"
+            "/v1/responses",
+            "/v1/chat/completions",
+            "/v1/embeddings",
+            "/v1/completions",
+            "/v1/moderations",
+            "/v1/images/generations",
+            "/v1/images/edits",
+            "/v1/videos",
         ],
         input_file_id: str,
         metadata: Optional[Metadata] | Omit = omit,
@@ -286,7 +305,8 @@ async def create(
 
           endpoint: The endpoint to be used for all requests in the batch. Currently
               `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, `/v1/completions`,
-              and `/v1/moderations` are supported. Note that `/v1/embeddings` batches are also
+              `/v1/moderations`, `/v1/images/generations`, `/v1/images/edits`, and
+              `/v1/videos` are supported. Note that `/v1/embeddings` batches are also
               restricted to a maximum of 50,000 embedding inputs across all requests in the
               batch.
 
@@ -362,7 +382,7 @@ async def retrieve(
         if not batch_id:
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         return await self._get(
-            f"/batches/{batch_id}",
+            path_template("/batches/{batch_id}", batch_id=batch_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -450,7 +470,7 @@ async def cancel(
         if not batch_id:
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         return await self._post(
-            f"/batches/{batch_id}/cancel",
+            path_template("/batches/{batch_id}/cancel", batch_id=batch_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/beta/assistants.py b/portkey_ai/_vendor/openai/resources/beta/assistants.py
index 8c697000..7ea8a918 100644
--- a/portkey_ai/_vendor/openai/resources/beta/assistants.py
+++ b/portkey_ai/_vendor/openai/resources/beta/assistants.py
@@ -10,7 +10,7 @@
 
 from ... import _legacy_response
 from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -33,6 +33,8 @@
 
 
 class Assistants(SyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> AssistantsWithRawResponse:
         """
@@ -213,7 +215,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -381,7 +383,7 @@ def update(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             body=maybe_transform(
                 {
                     "description": description,
@@ -498,7 +500,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._delete(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -507,6 +509,8 @@ def delete(
 
 
 class AsyncAssistants(AsyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> AsyncAssistantsWithRawResponse:
         """
@@ -687,7 +691,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -855,7 +859,7 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             body=await async_maybe_transform(
                 {
                     "description": description,
@@ -972,7 +976,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._delete(
-            f"/assistants/{assistant_id}",
+            path_template("/assistants/{assistant_id}", assistant_id=assistant_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/beta/beta.py b/portkey_ai/_vendor/openai/resources/beta/beta.py
index 5ee3639d..388a1c5d 100644
--- a/portkey_ai/_vendor/openai/resources/beta/beta.py
+++ b/portkey_ai/_vendor/openai/resources/beta/beta.py
@@ -52,10 +52,12 @@ def chatkit(self) -> ChatKit:
 
     @cached_property
     def assistants(self) -> Assistants:
+        """Build Assistants that can call models and use tools."""
         return Assistants(self._client)
 
     @cached_property
     def threads(self) -> Threads:
+        """Build Assistants that can call models and use tools."""
         return Threads(self._client)
 
     @cached_property
@@ -93,10 +95,12 @@ def chatkit(self) -> AsyncChatKit:
 
     @cached_property
     def assistants(self) -> AsyncAssistants:
+        """Build Assistants that can call models and use tools."""
         return AsyncAssistants(self._client)
 
     @cached_property
     def threads(self) -> AsyncThreads:
+        """Build Assistants that can call models and use tools."""
         return AsyncThreads(self._client)
 
     @cached_property
@@ -129,10 +133,12 @@ def chatkit(self) -> ChatKitWithRawResponse:
 
     @cached_property
     def assistants(self) -> AssistantsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AssistantsWithRawResponse(self._beta.assistants)
 
     @cached_property
     def threads(self) -> ThreadsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return ThreadsWithRawResponse(self._beta.threads)
 
 
@@ -146,10 +152,12 @@ def chatkit(self) -> AsyncChatKitWithRawResponse:
 
     @cached_property
     def assistants(self) -> AsyncAssistantsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncAssistantsWithRawResponse(self._beta.assistants)
 
     @cached_property
     def threads(self) -> AsyncThreadsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncThreadsWithRawResponse(self._beta.threads)
 
 
@@ -163,10 +171,12 @@ def chatkit(self) -> ChatKitWithStreamingResponse:
 
     @cached_property
     def assistants(self) -> AssistantsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AssistantsWithStreamingResponse(self._beta.assistants)
 
     @cached_property
     def threads(self) -> ThreadsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return ThreadsWithStreamingResponse(self._beta.threads)
 
 
@@ -180,8 +190,10 @@ def chatkit(self) -> AsyncChatKitWithStreamingResponse:
 
     @cached_property
     def assistants(self) -> AsyncAssistantsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncAssistantsWithStreamingResponse(self._beta.assistants)
 
     @cached_property
     def threads(self) -> AsyncThreadsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncThreadsWithStreamingResponse(self._beta.threads)
diff --git a/portkey_ai/_vendor/openai/resources/beta/chatkit/sessions.py b/portkey_ai/_vendor/openai/resources/beta/chatkit/sessions.py
index a814f105..6e95fd65 100644
--- a/portkey_ai/_vendor/openai/resources/beta/chatkit/sessions.py
+++ b/portkey_ai/_vendor/openai/resources/beta/chatkit/sessions.py
@@ -6,7 +6,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform, async_maybe_transform
+from ...._utils import path_template, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -63,7 +63,7 @@ def create(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatSession:
         """
-        Create a ChatKit session
+        Create a ChatKit session.
 
         Args:
           user: A free-form string that identifies your end user; ensures this Session can
@@ -117,7 +117,9 @@ def cancel(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatSession:
         """
-        Cancel a ChatKit session
+        Cancel an active ChatKit session and return its most recent metadata.
+
+        Cancelling prevents new requests from using the issued client secret.
 
         Args:
           extra_headers: Send extra headers
@@ -132,7 +134,7 @@ def cancel(
             raise ValueError(f"Expected a non-empty value for `session_id` but received {session_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return self._post(
-            f"/chatkit/sessions/{session_id}/cancel",
+            path_template("/chatkit/sessions/{session_id}/cancel", session_id=session_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -176,7 +178,7 @@ async def create(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatSession:
         """
-        Create a ChatKit session
+        Create a ChatKit session.
 
         Args:
           user: A free-form string that identifies your end user; ensures this Session can
@@ -230,7 +232,9 @@ async def cancel(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatSession:
         """
-        Cancel a ChatKit session
+        Cancel an active ChatKit session and return its most recent metadata.
+
+        Cancelling prevents new requests from using the issued client secret.
 
         Args:
           extra_headers: Send extra headers
@@ -245,7 +249,7 @@ async def cancel(
             raise ValueError(f"Expected a non-empty value for `session_id` but received {session_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return await self._post(
-            f"/chatkit/sessions/{session_id}/cancel",
+            path_template("/chatkit/sessions/{session_id}/cancel", session_id=session_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/beta/chatkit/threads.py b/portkey_ai/_vendor/openai/resources/beta/chatkit/threads.py
index 37cd5729..16e0e11a 100644
--- a/portkey_ai/_vendor/openai/resources/beta/chatkit/threads.py
+++ b/portkey_ai/_vendor/openai/resources/beta/chatkit/threads.py
@@ -9,7 +9,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform
+from ...._utils import path_template, maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -55,7 +55,7 @@ def retrieve(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatKitThread:
         """
-        Retrieve a ChatKit thread
+        Retrieve a ChatKit thread by its identifier.
 
         Args:
           extra_headers: Send extra headers
@@ -70,7 +70,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return self._get(
-            f"/chatkit/threads/{thread_id}",
+            path_template("/chatkit/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -93,7 +93,7 @@ def list(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> SyncConversationCursorPage[ChatKitThread]:
         """
-        List ChatKit threads
+        List ChatKit threads with optional pagination and user filters.
 
         Args:
           after: List items created after this thread item ID. Defaults to null for the first
@@ -152,7 +152,7 @@ def delete(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ThreadDeleteResponse:
         """
-        Delete a ChatKit thread
+        Delete a ChatKit thread along with its items and stored attachments.
 
         Args:
           extra_headers: Send extra headers
@@ -167,7 +167,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return self._delete(
-            f"/chatkit/threads/{thread_id}",
+            path_template("/chatkit/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -190,7 +190,7 @@ def list_items(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> SyncConversationCursorPage[Data]:
         """
-        List ChatKit thread items
+        List items that belong to a ChatKit thread.
 
         Args:
           after: List items created after this thread item ID. Defaults to null for the first
@@ -215,7 +215,7 @@ def list_items(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return self._get_api_list(
-            f"/chatkit/threads/{thread_id}/items",
+            path_template("/chatkit/threads/{thread_id}/items", thread_id=thread_id),
             page=SyncConversationCursorPage[Data],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -268,7 +268,7 @@ async def retrieve(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ChatKitThread:
         """
-        Retrieve a ChatKit thread
+        Retrieve a ChatKit thread by its identifier.
 
         Args:
           extra_headers: Send extra headers
@@ -283,7 +283,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return await self._get(
-            f"/chatkit/threads/{thread_id}",
+            path_template("/chatkit/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -306,7 +306,7 @@ def list(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> AsyncPaginator[ChatKitThread, AsyncConversationCursorPage[ChatKitThread]]:
         """
-        List ChatKit threads
+        List ChatKit threads with optional pagination and user filters.
 
         Args:
           after: List items created after this thread item ID. Defaults to null for the first
@@ -365,7 +365,7 @@ async def delete(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> ThreadDeleteResponse:
         """
-        Delete a ChatKit thread
+        Delete a ChatKit thread along with its items and stored attachments.
 
         Args:
           extra_headers: Send extra headers
@@ -380,7 +380,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return await self._delete(
-            f"/chatkit/threads/{thread_id}",
+            path_template("/chatkit/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -403,7 +403,7 @@ def list_items(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> AsyncPaginator[Data, AsyncConversationCursorPage[Data]]:
         """
-        List ChatKit thread items
+        List items that belong to a ChatKit thread.
 
         Args:
           after: List items created after this thread item ID. Defaults to null for the first
@@ -428,7 +428,7 @@ def list_items(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})}
         return self._get_api_list(
-            f"/chatkit/threads/{thread_id}/items",
+            path_template("/chatkit/threads/{thread_id}/items", thread_id=thread_id),
             page=AsyncConversationCursorPage[Data],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/beta/threads/messages.py b/portkey_ai/_vendor/openai/resources/beta/threads/messages.py
index d94ecca9..95b750d4 100644
--- a/portkey_ai/_vendor/openai/resources/beta/threads/messages.py
+++ b/portkey_ai/_vendor/openai/resources/beta/threads/messages.py
@@ -10,7 +10,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform, async_maybe_transform
+from ...._utils import path_template, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -29,6 +29,8 @@
 
 
 class Messages(SyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> MessagesWithRawResponse:
         """
@@ -99,7 +101,7 @@ def create(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/messages",
+            path_template("/threads/{thread_id}/messages", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "content": content,
@@ -146,7 +148,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -192,7 +194,7 @@ def update(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             body=maybe_transform({"metadata": metadata}, message_update_params.MessageUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -251,7 +253,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/messages",
+            path_template("/threads/{thread_id}/messages", thread_id=thread_id),
             page=SyncCursorPage[Message],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -303,7 +305,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._delete(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -312,6 +314,8 @@ def delete(
 
 
 class AsyncMessages(AsyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> AsyncMessagesWithRawResponse:
         """
@@ -382,7 +386,7 @@ async def create(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/messages",
+            path_template("/threads/{thread_id}/messages", thread_id=thread_id),
             body=await async_maybe_transform(
                 {
                     "content": content,
@@ -429,7 +433,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -475,7 +479,7 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             body=await async_maybe_transform({"metadata": metadata}, message_update_params.MessageUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -534,7 +538,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/messages",
+            path_template("/threads/{thread_id}/messages", thread_id=thread_id),
             page=AsyncCursorPage[Message],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -586,7 +590,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._delete(
-            f"/threads/{thread_id}/messages/{message_id}",
+            path_template("/threads/{thread_id}/messages/{message_id}", thread_id=thread_id, message_id=message_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py b/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py
index 8a58e91f..882e88df 100644
--- a/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py
+++ b/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py
@@ -21,6 +21,7 @@
 from ....._types import NOT_GIVEN, Body, Omit, Query, Headers, NotGiven, omit, not_given
 from ....._utils import (
     is_given,
+    path_template,
     required_args,
     maybe_transform,
     async_maybe_transform,
@@ -59,8 +60,11 @@
 
 
 class Runs(SyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def steps(self) -> Steps:
+        """Build Assistants that can call models and use tools."""
         return Steps(self._client)
 
     @cached_property
@@ -591,7 +595,7 @@ def create(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -620,6 +624,7 @@ def create(
                 extra_body=extra_body,
                 timeout=timeout,
                 query=maybe_transform({"include": include}, run_create_params.RunCreateParams),
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -657,7 +662,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/threads/{thread_id}/runs/{run_id}",
+            path_template("/threads/{thread_id}/runs/{run_id}", thread_id=thread_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -703,7 +708,7 @@ def update(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/runs/{run_id}",
+            path_template("/threads/{thread_id}/runs/{run_id}", thread_id=thread_id, run_id=run_id),
             body=maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -759,7 +764,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             page=SyncCursorPage[Run],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -810,7 +815,7 @@ def cancel(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/runs/{run_id}/cancel",
+            path_template("/threads/{thread_id}/runs/{run_id}/cancel", thread_id=thread_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -994,7 +999,7 @@ def create_and_stream(
         }
         make_request = partial(
             self._post,
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -1181,7 +1186,7 @@ def stream(
         }
         make_request = partial(
             self._post,
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -1357,7 +1362,7 @@ def submit_tool_outputs(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
+            path_template("/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", thread_id=thread_id, run_id=run_id),
             body=maybe_transform(
                 {
                     "tool_outputs": tool_outputs,
@@ -1368,7 +1373,11 @@ def submit_tool_outputs(
                 else run_submit_tool_outputs_params.RunSubmitToolOutputsParamsNonStreaming,
             ),
             options=make_request_options(
-                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -1494,7 +1503,7 @@ def submit_tool_outputs_stream(
         }
         request = partial(
             self._post,
-            f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
+            path_template("/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", thread_id=thread_id, run_id=run_id),
             body=maybe_transform(
                 {
                     "tool_outputs": tool_outputs,
@@ -1513,8 +1522,11 @@ def submit_tool_outputs_stream(
 
 
 class AsyncRuns(AsyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def steps(self) -> AsyncSteps:
+        """Build Assistants that can call models and use tools."""
         return AsyncSteps(self._client)
 
     @cached_property
@@ -2046,7 +2058,7 @@ async def create(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=await async_maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -2075,6 +2087,7 @@ async def create(
                 extra_body=extra_body,
                 timeout=timeout,
                 query=await async_maybe_transform({"include": include}, run_create_params.RunCreateParams),
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -2112,7 +2125,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/threads/{thread_id}/runs/{run_id}",
+            path_template("/threads/{thread_id}/runs/{run_id}", thread_id=thread_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -2158,7 +2171,7 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/runs/{run_id}",
+            path_template("/threads/{thread_id}/runs/{run_id}", thread_id=thread_id, run_id=run_id),
             body=await async_maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -2214,7 +2227,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             page=AsyncCursorPage[Run],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -2265,7 +2278,7 @@ async def cancel(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/runs/{run_id}/cancel",
+            path_template("/threads/{thread_id}/runs/{run_id}/cancel", thread_id=thread_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -2448,7 +2461,7 @@ def create_and_stream(
             **(extra_headers or {}),
         }
         request = self._post(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -2635,7 +2648,7 @@ def stream(
             **(extra_headers or {}),
         }
         request = self._post(
-            f"/threads/{thread_id}/runs",
+            path_template("/threads/{thread_id}/runs", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "assistant_id": assistant_id,
@@ -2811,7 +2824,7 @@ async def submit_tool_outputs(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
+            path_template("/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", thread_id=thread_id, run_id=run_id),
             body=await async_maybe_transform(
                 {
                     "tool_outputs": tool_outputs,
@@ -2822,7 +2835,11 @@ async def submit_tool_outputs(
                 else run_submit_tool_outputs_params.RunSubmitToolOutputsParamsNonStreaming,
             ),
             options=make_request_options(
-                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -2950,7 +2967,7 @@ def submit_tool_outputs_stream(
             **(extra_headers or {}),
         }
         request = self._post(
-            f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
+            path_template("/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", thread_id=thread_id, run_id=run_id),
             body=maybe_transform(
                 {
                     "tool_outputs": tool_outputs,
@@ -3005,6 +3022,7 @@ def __init__(self, runs: Runs) -> None:
 
     @cached_property
     def steps(self) -> StepsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return StepsWithRawResponse(self._runs.steps)
 
 
@@ -3045,6 +3063,7 @@ def __init__(self, runs: AsyncRuns) -> None:
 
     @cached_property
     def steps(self) -> AsyncStepsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncStepsWithRawResponse(self._runs.steps)
 
 
@@ -3085,6 +3104,7 @@ def __init__(self, runs: Runs) -> None:
 
     @cached_property
     def steps(self) -> StepsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return StepsWithStreamingResponse(self._runs.steps)
 
 
@@ -3125,4 +3145,5 @@ def __init__(self, runs: AsyncRuns) -> None:
 
     @cached_property
     def steps(self) -> AsyncStepsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncStepsWithStreamingResponse(self._runs.steps)
diff --git a/portkey_ai/_vendor/openai/resources/beta/threads/runs/steps.py b/portkey_ai/_vendor/openai/resources/beta/threads/runs/steps.py
index 254a9443..9a6402b2 100644
--- a/portkey_ai/_vendor/openai/resources/beta/threads/runs/steps.py
+++ b/portkey_ai/_vendor/openai/resources/beta/threads/runs/steps.py
@@ -10,7 +10,7 @@
 
 from ..... import _legacy_response
 from ....._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ....._utils import maybe_transform, async_maybe_transform
+from ....._utils import path_template, maybe_transform, async_maybe_transform
 from ....._compat import cached_property
 from ....._resource import SyncAPIResource, AsyncAPIResource
 from ....._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -24,6 +24,8 @@
 
 
 class Steps(SyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> StepsWithRawResponse:
         """
@@ -86,7 +88,12 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `step_id` but received {step_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
+            path_template(
+                "/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
+                thread_id=thread_id,
+                run_id=run_id,
+                step_id=step_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -157,7 +164,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/runs/{run_id}/steps",
+            path_template("/threads/{thread_id}/runs/{run_id}/steps", thread_id=thread_id, run_id=run_id),
             page=SyncCursorPage[RunStep],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -180,6 +187,8 @@ def list(
 
 
 class AsyncSteps(AsyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def with_raw_response(self) -> AsyncStepsWithRawResponse:
         """
@@ -242,7 +251,12 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `step_id` but received {step_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
+            path_template(
+                "/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
+                thread_id=thread_id,
+                run_id=run_id,
+                step_id=step_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -313,7 +327,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/threads/{thread_id}/runs/{run_id}/steps",
+            path_template("/threads/{thread_id}/runs/{run_id}/steps", thread_id=thread_id, run_id=run_id),
             page=AsyncCursorPage[RunStep],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/beta/threads/threads.py b/portkey_ai/_vendor/openai/resources/beta/threads/threads.py
index 681d3c29..4b0f18fe 100644
--- a/portkey_ai/_vendor/openai/resources/beta/threads/threads.py
+++ b/portkey_ai/_vendor/openai/resources/beta/threads/threads.py
@@ -19,7 +19,7 @@
     AsyncMessagesWithStreamingResponse,
 )
 from ...._types import NOT_GIVEN, Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import required_args, maybe_transform, async_maybe_transform
+from ...._utils import path_template, required_args, maybe_transform, async_maybe_transform
 from .runs.runs import (
     Runs,
     AsyncRuns,
@@ -60,12 +60,16 @@
 
 
 class Threads(SyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def runs(self) -> Runs:
+        """Build Assistants that can call models and use tools."""
         return Runs(self._client)
 
     @cached_property
     def messages(self) -> Messages:
+        """Build Assistants that can call models and use tools."""
         return Messages(self._client)
 
     @cached_property
@@ -173,7 +177,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -222,7 +226,7 @@ def update(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             body=maybe_transform(
                 {
                     "metadata": metadata,
@@ -264,7 +268,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._delete(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -729,7 +733,11 @@ def create_and_run(
                 else thread_create_and_run_params.ThreadCreateAndRunParamsNonStreaming,
             ),
             options=make_request_options(
-                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -918,12 +926,16 @@ def create_and_run_stream(
 
 
 class AsyncThreads(AsyncAPIResource):
+    """Build Assistants that can call models and use tools."""
+
     @cached_property
     def runs(self) -> AsyncRuns:
+        """Build Assistants that can call models and use tools."""
         return AsyncRuns(self._client)
 
     @cached_property
     def messages(self) -> AsyncMessages:
+        """Build Assistants that can call models and use tools."""
         return AsyncMessages(self._client)
 
     @cached_property
@@ -1031,7 +1043,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1080,7 +1092,7 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             body=await async_maybe_transform(
                 {
                     "metadata": metadata,
@@ -1122,7 +1134,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._delete(
-            f"/threads/{thread_id}",
+            path_template("/threads/{thread_id}", thread_id=thread_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1587,7 +1599,11 @@ async def create_and_run(
                 else thread_create_and_run_params.ThreadCreateAndRunParamsNonStreaming,
             ),
             options=make_request_options(
-                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                synthesize_event_and_data=True,
             ),
             cast_to=Run,
             stream=stream or False,
@@ -1811,10 +1827,12 @@ def __init__(self, threads: Threads) -> None:
 
     @cached_property
     def runs(self) -> RunsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return RunsWithRawResponse(self._threads.runs)
 
     @cached_property
     def messages(self) -> MessagesWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return MessagesWithRawResponse(self._threads.messages)
 
 
@@ -1850,10 +1868,12 @@ def __init__(self, threads: AsyncThreads) -> None:
 
     @cached_property
     def runs(self) -> AsyncRunsWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncRunsWithRawResponse(self._threads.runs)
 
     @cached_property
     def messages(self) -> AsyncMessagesWithRawResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncMessagesWithRawResponse(self._threads.messages)
 
 
@@ -1889,10 +1909,12 @@ def __init__(self, threads: Threads) -> None:
 
     @cached_property
     def runs(self) -> RunsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return RunsWithStreamingResponse(self._threads.runs)
 
     @cached_property
     def messages(self) -> MessagesWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return MessagesWithStreamingResponse(self._threads.messages)
 
 
@@ -1928,8 +1950,10 @@ def __init__(self, threads: AsyncThreads) -> None:
 
     @cached_property
     def runs(self) -> AsyncRunsWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncRunsWithStreamingResponse(self._threads.runs)
 
     @cached_property
     def messages(self) -> AsyncMessagesWithStreamingResponse:
+        """Build Assistants that can call models and use tools."""
         return AsyncMessagesWithStreamingResponse(self._threads.messages)
diff --git a/portkey_ai/_vendor/openai/resources/chat/chat.py b/portkey_ai/_vendor/openai/resources/chat/chat.py
index 14f9224b..2c921e74 100644
--- a/portkey_ai/_vendor/openai/resources/chat/chat.py
+++ b/portkey_ai/_vendor/openai/resources/chat/chat.py
@@ -19,6 +19,9 @@
 class Chat(SyncAPIResource):
     @cached_property
     def completions(self) -> Completions:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return Completions(self._client)
 
     @cached_property
@@ -44,6 +47,9 @@ def with_streaming_response(self) -> ChatWithStreamingResponse:
 class AsyncChat(AsyncAPIResource):
     @cached_property
     def completions(self) -> AsyncCompletions:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncCompletions(self._client)
 
     @cached_property
@@ -72,6 +78,9 @@ def __init__(self, chat: Chat) -> None:
 
     @cached_property
     def completions(self) -> CompletionsWithRawResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return CompletionsWithRawResponse(self._chat.completions)
 
 
@@ -81,6 +90,9 @@ def __init__(self, chat: AsyncChat) -> None:
 
     @cached_property
     def completions(self) -> AsyncCompletionsWithRawResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncCompletionsWithRawResponse(self._chat.completions)
 
 
@@ -90,6 +102,9 @@ def __init__(self, chat: Chat) -> None:
 
     @cached_property
     def completions(self) -> CompletionsWithStreamingResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return CompletionsWithStreamingResponse(self._chat.completions)
 
 
@@ -99,4 +114,7 @@ def __init__(self, chat: AsyncChat) -> None:
 
     @cached_property
     def completions(self) -> AsyncCompletionsWithStreamingResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncCompletionsWithStreamingResponse(self._chat.completions)
diff --git a/portkey_ai/_vendor/openai/resources/chat/completions/completions.py b/portkey_ai/_vendor/openai/resources/chat/completions/completions.py
index 9c0b74b8..845bd1a1 100644
--- a/portkey_ai/_vendor/openai/resources/chat/completions/completions.py
+++ b/portkey_ai/_vendor/openai/resources/chat/completions/completions.py
@@ -20,7 +20,7 @@
     AsyncMessagesWithStreamingResponse,
 )
 from ...._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
-from ...._utils import required_args, maybe_transform, async_maybe_transform
+from ...._utils import path_template, required_args, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -58,8 +58,15 @@
 
 
 class Completions(SyncAPIResource):
+    """
+    Given a list of messages comprising a conversation, the model will return a response.
+    """
+
     @cached_property
     def messages(self) -> Messages:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return Messages(self._client)
 
     @cached_property
@@ -301,6 +308,9 @@ def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -436,8 +446,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -603,6 +614,9 @@ def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -747,8 +761,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -905,6 +920,9 @@ def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -1049,8 +1067,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -1269,7 +1288,7 @@ def retrieve(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return self._get(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1313,7 +1332,7 @@ def update(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return self._post(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             body=maybe_transform({"metadata": metadata}, completion_update_params.CompletionUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -1346,12 +1365,10 @@ def list(
 
           limit: Number of Chat Completions to retrieve.
 
-          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
-              for storing additional information about the object in a structured format, and
-              querying for objects via API or the dashboard.
+          metadata:
+              A list of metadata keys to filter the Chat Completions by. Example:
 
-              Keys are strings with a maximum length of 64 characters. Values are strings with
-              a maximum length of 512 characters.
+              `metadata[key1]=value1&metadata[key2]=value2`
 
           model: The model used to generate the Chat Completions.
 
@@ -1416,7 +1433,7 @@ def delete(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return self._delete(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1544,8 +1561,15 @@ def stream(
 
 
 class AsyncCompletions(AsyncAPIResource):
+    """
+    Given a list of messages comprising a conversation, the model will return a response.
+    """
+
     @cached_property
     def messages(self) -> AsyncMessages:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncMessages(self._client)
 
     @cached_property
@@ -1787,6 +1811,9 @@ async def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -1922,8 +1949,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -2089,6 +2117,9 @@ async def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -2233,8 +2264,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -2391,6 +2423,9 @@ async def create(
         unsupported parameters in reasoning models,
         [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
 
+        Returns a chat completion object, or a streamed sequence of chat completion
+        chunk objects if the request is streamed.
+
         Args:
           messages: A list of messages comprising the conversation so far. Depending on the
               [model](https://platform.openai.com/docs/models) you use, different message
@@ -2535,8 +2570,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           seed: This feature is in Beta. If specified, our system will make a best effort to
@@ -2755,7 +2791,7 @@ async def retrieve(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return await self._get(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -2799,7 +2835,7 @@ async def update(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return await self._post(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             body=await async_maybe_transform({"metadata": metadata}, completion_update_params.CompletionUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -2832,12 +2868,10 @@ def list(
 
           limit: Number of Chat Completions to retrieve.
 
-          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
-              for storing additional information about the object in a structured format, and
-              querying for objects via API or the dashboard.
+          metadata:
+              A list of metadata keys to filter the Chat Completions by. Example:
 
-              Keys are strings with a maximum length of 64 characters. Values are strings with
-              a maximum length of 512 characters.
+              `metadata[key1]=value1&metadata[key2]=value2`
 
           model: The model used to generate the Chat Completions.
 
@@ -2902,7 +2936,7 @@ async def delete(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return await self._delete(
-            f"/chat/completions/{completion_id}",
+            path_template("/chat/completions/{completion_id}", completion_id=completion_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -3055,6 +3089,9 @@ def __init__(self, completions: Completions) -> None:
 
     @cached_property
     def messages(self) -> MessagesWithRawResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return MessagesWithRawResponse(self._completions.messages)
 
 
@@ -3083,6 +3120,9 @@ def __init__(self, completions: AsyncCompletions) -> None:
 
     @cached_property
     def messages(self) -> AsyncMessagesWithRawResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncMessagesWithRawResponse(self._completions.messages)
 
 
@@ -3111,6 +3151,9 @@ def __init__(self, completions: Completions) -> None:
 
     @cached_property
     def messages(self) -> MessagesWithStreamingResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return MessagesWithStreamingResponse(self._completions.messages)
 
 
@@ -3139,6 +3182,9 @@ def __init__(self, completions: AsyncCompletions) -> None:
 
     @cached_property
     def messages(self) -> AsyncMessagesWithStreamingResponse:
+        """
+        Given a list of messages comprising a conversation, the model will return a response.
+        """
         return AsyncMessagesWithStreamingResponse(self._completions.messages)
 
 
diff --git a/portkey_ai/_vendor/openai/resources/chat/completions/messages.py b/portkey_ai/_vendor/openai/resources/chat/completions/messages.py
index 3d6dc79c..ffbff566 100644
--- a/portkey_ai/_vendor/openai/resources/chat/completions/messages.py
+++ b/portkey_ai/_vendor/openai/resources/chat/completions/messages.py
@@ -8,7 +8,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform
+from ...._utils import path_template, maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -21,6 +21,10 @@
 
 
 class Messages(SyncAPIResource):
+    """
+    Given a list of messages comprising a conversation, the model will return a response.
+    """
+
     @cached_property
     def with_raw_response(self) -> MessagesWithRawResponse:
         """
@@ -78,7 +82,7 @@ def list(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return self._get_api_list(
-            f"/chat/completions/{completion_id}/messages",
+            path_template("/chat/completions/{completion_id}/messages", completion_id=completion_id),
             page=SyncCursorPage[ChatCompletionStoreMessage],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -99,6 +103,10 @@ def list(
 
 
 class AsyncMessages(AsyncAPIResource):
+    """
+    Given a list of messages comprising a conversation, the model will return a response.
+    """
+
     @cached_property
     def with_raw_response(self) -> AsyncMessagesWithRawResponse:
         """
@@ -156,7 +164,7 @@ def list(
         if not completion_id:
             raise ValueError(f"Expected a non-empty value for `completion_id` but received {completion_id!r}")
         return self._get_api_list(
-            f"/chat/completions/{completion_id}/messages",
+            path_template("/chat/completions/{completion_id}/messages", completion_id=completion_id),
             page=AsyncCursorPage[ChatCompletionStoreMessage],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/completions.py b/portkey_ai/_vendor/openai/resources/completions.py
index 2f2284a6..4c9e2667 100644
--- a/portkey_ai/_vendor/openai/resources/completions.py
+++ b/portkey_ai/_vendor/openai/resources/completions.py
@@ -25,6 +25,10 @@
 
 
 class Completions(SyncAPIResource):
+    """
+    Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+    """
+
     @cached_property
     def with_raw_response(self) -> CompletionsWithRawResponse:
         """
@@ -76,6 +80,9 @@ def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
@@ -231,6 +238,9 @@ def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
@@ -386,6 +396,9 @@ def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
@@ -575,6 +588,10 @@ def create(
 
 
 class AsyncCompletions(AsyncAPIResource):
+    """
+    Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+    """
+
     @cached_property
     def with_raw_response(self) -> AsyncCompletionsWithRawResponse:
         """
@@ -626,6 +643,9 @@ async def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
@@ -781,6 +801,9 @@ async def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
@@ -936,6 +959,9 @@ async def create(
         """
         Creates a completion for the provided prompt and parameters.
 
+        Returns a completion object, or a sequence of completion objects if the request
+        is streamed.
+
         Args:
           model: ID of the model to use. You can use the
               [List models](https://platform.openai.com/docs/api-reference/models/list) API to
diff --git a/portkey_ai/_vendor/openai/resources/containers/containers.py b/portkey_ai/_vendor/openai/resources/containers/containers.py
index 0cbb400d..f6b8c33c 100644
--- a/portkey_ai/_vendor/openai/resources/containers/containers.py
+++ b/portkey_ai/_vendor/openai/resources/containers/containers.py
@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+from typing import Iterable
 from typing_extensions import Literal
 
 import httpx
@@ -9,7 +10,7 @@
 from ... import _legacy_response
 from ...types import container_list_params, container_create_params
 from ..._types import Body, Omit, Query, Headers, NoneType, NotGiven, SequenceNotStr, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -61,6 +62,8 @@ def create(
         expires_after: container_create_params.ExpiresAfter | Omit = omit,
         file_ids: SequenceNotStr[str] | Omit = omit,
         memory_limit: Literal["1g", "4g", "16g", "64g"] | Omit = omit,
+        network_policy: container_create_params.NetworkPolicy | Omit = omit,
+        skills: Iterable[container_create_params.Skill] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -80,6 +83,10 @@ def create(
 
           memory_limit: Optional memory limit for the container. Defaults to "1g".
 
+          network_policy: Network access policy for the container.
+
+          skills: An optional list of skills referenced by id or inline data.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -96,6 +103,8 @@ def create(
                     "expires_after": expires_after,
                     "file_ids": file_ids,
                     "memory_limit": memory_limit,
+                    "network_policy": network_policy,
+                    "skills": skills,
                 },
                 container_create_params.ContainerCreateParams,
             ),
@@ -131,7 +140,7 @@ def retrieve(
         if not container_id:
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         return self._get(
-            f"/containers/{container_id}",
+            path_template("/containers/{container_id}", container_id=container_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -143,6 +152,7 @@ def list(
         *,
         after: str | Omit = omit,
         limit: int | Omit = omit,
+        name: str | Omit = omit,
         order: Literal["asc", "desc"] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
@@ -164,6 +174,8 @@ def list(
           limit: A limit on the number of objects to be returned. Limit can range between 1 and
               100, and the default is 20.
 
+          name: Filter results by container name.
+
           order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
               order and `desc` for descending order.
 
@@ -187,6 +199,7 @@ def list(
                     {
                         "after": after,
                         "limit": limit,
+                        "name": name,
                         "order": order,
                     },
                     container_list_params.ContainerListParams,
@@ -222,7 +235,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._delete(
-            f"/containers/{container_id}",
+            path_template("/containers/{container_id}", container_id=container_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -261,6 +274,8 @@ async def create(
         expires_after: container_create_params.ExpiresAfter | Omit = omit,
         file_ids: SequenceNotStr[str] | Omit = omit,
         memory_limit: Literal["1g", "4g", "16g", "64g"] | Omit = omit,
+        network_policy: container_create_params.NetworkPolicy | Omit = omit,
+        skills: Iterable[container_create_params.Skill] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -280,6 +295,10 @@ async def create(
 
           memory_limit: Optional memory limit for the container. Defaults to "1g".
 
+          network_policy: Network access policy for the container.
+
+          skills: An optional list of skills referenced by id or inline data.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -296,6 +315,8 @@ async def create(
                     "expires_after": expires_after,
                     "file_ids": file_ids,
                     "memory_limit": memory_limit,
+                    "network_policy": network_policy,
+                    "skills": skills,
                 },
                 container_create_params.ContainerCreateParams,
             ),
@@ -331,7 +352,7 @@ async def retrieve(
         if not container_id:
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         return await self._get(
-            f"/containers/{container_id}",
+            path_template("/containers/{container_id}", container_id=container_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -343,6 +364,7 @@ def list(
         *,
         after: str | Omit = omit,
         limit: int | Omit = omit,
+        name: str | Omit = omit,
         order: Literal["asc", "desc"] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
@@ -364,6 +386,8 @@ def list(
           limit: A limit on the number of objects to be returned. Limit can range between 1 and
               100, and the default is 20.
 
+          name: Filter results by container name.
+
           order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
               order and `desc` for descending order.
 
@@ -387,6 +411,7 @@ def list(
                     {
                         "after": after,
                         "limit": limit,
+                        "name": name,
                         "order": order,
                     },
                     container_list_params.ContainerListParams,
@@ -422,7 +447,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._delete(
-            f"/containers/{container_id}",
+            path_template("/containers/{container_id}", container_id=container_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/containers/files/content.py b/portkey_ai/_vendor/openai/resources/containers/files/content.py
index a3dbd0e8..eb915b9c 100644
--- a/portkey_ai/_vendor/openai/resources/containers/files/content.py
+++ b/portkey_ai/_vendor/openai/resources/containers/files/content.py
@@ -6,6 +6,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Query, Headers, NotGiven, not_given
+from ...._utils import path_template
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import (
@@ -69,7 +70,9 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return self._get(
-            f"/containers/{container_id}/files/{file_id}/content",
+            path_template(
+                "/containers/{container_id}/files/{file_id}/content", container_id=container_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -127,7 +130,9 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return await self._get(
-            f"/containers/{container_id}/files/{file_id}/content",
+            path_template(
+                "/containers/{container_id}/files/{file_id}/content", container_id=container_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/containers/files/files.py b/portkey_ai/_vendor/openai/resources/containers/files/files.py
index a472cfc9..f48adf3a 100644
--- a/portkey_ai/_vendor/openai/resources/containers/files/files.py
+++ b/portkey_ai/_vendor/openai/resources/containers/files/files.py
@@ -17,7 +17,7 @@
     AsyncContentWithStreamingResponse,
 )
 from ...._types import Body, Omit, Query, Headers, NoneType, NotGiven, FileTypes, omit, not_given
-from ...._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform
+from ...._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -96,12 +96,13 @@ def create(
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
-        # It should be noted that the actual Content-Type header that will be
-        # sent to the server will contain a `boundary` parameter, e.g.
-        # multipart/form-data; boundary=---abc--
-        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        if files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return self._post(
-            f"/containers/{container_id}/files",
+            path_template("/containers/{container_id}/files", container_id=container_id),
             body=maybe_transform(body, file_create_params.FileCreateParams),
             files=files,
             options=make_request_options(
@@ -139,7 +140,7 @@ def retrieve(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return self._get(
-            f"/containers/{container_id}/files/{file_id}",
+            path_template("/containers/{container_id}/files/{file_id}", container_id=container_id, file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -187,7 +188,7 @@ def list(
         if not container_id:
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         return self._get_api_list(
-            f"/containers/{container_id}/files",
+            path_template("/containers/{container_id}/files", container_id=container_id),
             page=SyncCursorPage[FileListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -236,7 +237,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._delete(
-            f"/containers/{container_id}/files/{file_id}",
+            path_template("/containers/{container_id}/files/{file_id}", container_id=container_id, file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -309,12 +310,13 @@ async def create(
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
-        # It should be noted that the actual Content-Type header that will be
-        # sent to the server will contain a `boundary` parameter, e.g.
-        # multipart/form-data; boundary=---abc--
-        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        if files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return await self._post(
-            f"/containers/{container_id}/files",
+            path_template("/containers/{container_id}/files", container_id=container_id),
             body=await async_maybe_transform(body, file_create_params.FileCreateParams),
             files=files,
             options=make_request_options(
@@ -352,7 +354,7 @@ async def retrieve(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return await self._get(
-            f"/containers/{container_id}/files/{file_id}",
+            path_template("/containers/{container_id}/files/{file_id}", container_id=container_id, file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -400,7 +402,7 @@ def list(
         if not container_id:
             raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
         return self._get_api_list(
-            f"/containers/{container_id}/files",
+            path_template("/containers/{container_id}/files", container_id=container_id),
             page=AsyncCursorPage[FileListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -449,7 +451,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._delete(
-            f"/containers/{container_id}/files/{file_id}",
+            path_template("/containers/{container_id}/files/{file_id}", container_id=container_id, file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/conversations/api.md b/portkey_ai/_vendor/openai/resources/conversations/api.md
new file mode 100644
index 00000000..9e9181a3
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/conversations/api.md
@@ -0,0 +1,42 @@
+# Conversations
+
+Types:
+
+```python
+from openai.types.conversations import (
+    ComputerScreenshotContent,
+    Conversation,
+    ConversationDeleted,
+    ConversationDeletedResource,
+    Message,
+    SummaryTextContent,
+    TextContent,
+    InputTextContent,
+    OutputTextContent,
+    RefusalContent,
+    InputImageContent,
+    InputFileContent,
+)
+```
+
+Methods:
+
+- <code title="post /conversations">client.conversations.<a href="./src/openai/resources/conversations/conversations.py">create</a>(\*\*<a href="src/openai/types/conversations/conversation_create_params.py">params</a>) -> <a href="./src/openai/types/conversations/conversation.py">Conversation</a></code>
+- <code title="get /conversations/{conversation_id}">client.conversations.<a href="./src/openai/resources/conversations/conversations.py">retrieve</a>(conversation_id) -> <a href="./src/openai/types/conversations/conversation.py">Conversation</a></code>
+- <code title="post /conversations/{conversation_id}">client.conversations.<a href="./src/openai/resources/conversations/conversations.py">update</a>(conversation_id, \*\*<a href="src/openai/types/conversations/conversation_update_params.py">params</a>) -> <a href="./src/openai/types/conversations/conversation.py">Conversation</a></code>
+- <code title="delete /conversations/{conversation_id}">client.conversations.<a href="./src/openai/resources/conversations/conversations.py">delete</a>(conversation_id) -> <a href="./src/openai/types/conversations/conversation_deleted_resource.py">ConversationDeletedResource</a></code>
+
+## Items
+
+Types:
+
+```python
+from openai.types.conversations import ConversationItem, ConversationItemList
+```
+
+Methods:
+
+- <code title="post /conversations/{conversation_id}/items">client.conversations.items.<a href="./src/openai/resources/conversations/items.py">create</a>(conversation_id, \*\*<a href="src/openai/types/conversations/item_create_params.py">params</a>) -> <a href="./src/openai/types/conversations/conversation_item_list.py">ConversationItemList</a></code>
+- <code title="get /conversations/{conversation_id}/items/{item_id}">client.conversations.items.<a href="./src/openai/resources/conversations/items.py">retrieve</a>(item_id, \*, conversation_id, \*\*<a href="src/openai/types/conversations/item_retrieve_params.py">params</a>) -> <a href="./src/openai/types/conversations/conversation_item.py">ConversationItem</a></code>
+- <code title="get /conversations/{conversation_id}/items">client.conversations.items.<a href="./src/openai/resources/conversations/items.py">list</a>(conversation_id, \*\*<a href="src/openai/types/conversations/item_list_params.py">params</a>) -> <a href="./src/openai/types/conversations/conversation_item.py">SyncConversationCursorPage[ConversationItem]</a></code>
+- <code title="delete /conversations/{conversation_id}/items/{item_id}">client.conversations.items.<a href="./src/openai/resources/conversations/items.py">delete</a>(item_id, \*, conversation_id) -> <a href="./src/openai/types/conversations/conversation.py">Conversation</a></code>
diff --git a/portkey_ai/_vendor/openai/resources/conversations/conversations.py b/portkey_ai/_vendor/openai/resources/conversations/conversations.py
index da037a4e..d349f385 100644
--- a/portkey_ai/_vendor/openai/resources/conversations/conversations.py
+++ b/portkey_ai/_vendor/openai/resources/conversations/conversations.py
@@ -16,7 +16,7 @@
     AsyncItemsWithStreamingResponse,
 )
 from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -31,8 +31,11 @@
 
 
 class Conversations(SyncAPIResource):
+    """Manage conversations and conversation items."""
+
     @cached_property
     def items(self) -> Items:
+        """Manage conversations and conversation items."""
         return Items(self._client)
 
     @cached_property
@@ -129,7 +132,7 @@ def retrieve(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._get(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -170,7 +173,7 @@ def update(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._post(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             body=maybe_transform({"metadata": metadata}, conversation_update_params.ConversationUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -205,7 +208,7 @@ def delete(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._delete(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -214,8 +217,11 @@ def delete(
 
 
 class AsyncConversations(AsyncAPIResource):
+    """Manage conversations and conversation items."""
+
     @cached_property
     def items(self) -> AsyncItems:
+        """Manage conversations and conversation items."""
         return AsyncItems(self._client)
 
     @cached_property
@@ -312,7 +318,7 @@ async def retrieve(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return await self._get(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -353,7 +359,7 @@ async def update(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return await self._post(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             body=await async_maybe_transform(
                 {"metadata": metadata}, conversation_update_params.ConversationUpdateParams
             ),
@@ -390,7 +396,7 @@ async def delete(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return await self._delete(
-            f"/conversations/{conversation_id}",
+            path_template("/conversations/{conversation_id}", conversation_id=conversation_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -417,6 +423,7 @@ def __init__(self, conversations: Conversations) -> None:
 
     @cached_property
     def items(self) -> ItemsWithRawResponse:
+        """Manage conversations and conversation items."""
         return ItemsWithRawResponse(self._conversations.items)
 
 
@@ -439,6 +446,7 @@ def __init__(self, conversations: AsyncConversations) -> None:
 
     @cached_property
     def items(self) -> AsyncItemsWithRawResponse:
+        """Manage conversations and conversation items."""
         return AsyncItemsWithRawResponse(self._conversations.items)
 
 
@@ -461,6 +469,7 @@ def __init__(self, conversations: Conversations) -> None:
 
     @cached_property
     def items(self) -> ItemsWithStreamingResponse:
+        """Manage conversations and conversation items."""
         return ItemsWithStreamingResponse(self._conversations.items)
 
 
@@ -483,4 +492,5 @@ def __init__(self, conversations: AsyncConversations) -> None:
 
     @cached_property
     def items(self) -> AsyncItemsWithStreamingResponse:
+        """Manage conversations and conversation items."""
         return AsyncItemsWithStreamingResponse(self._conversations.items)
diff --git a/portkey_ai/_vendor/openai/resources/conversations/items.py b/portkey_ai/_vendor/openai/resources/conversations/items.py
index 3dba1448..7d7c9a4a 100644
--- a/portkey_ai/_vendor/openai/resources/conversations/items.py
+++ b/portkey_ai/_vendor/openai/resources/conversations/items.py
@@ -9,7 +9,7 @@
 
 from ... import _legacy_response
 from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -26,6 +26,8 @@
 
 
 class Items(SyncAPIResource):
+    """Manage conversations and conversation items."""
+
     @cached_property
     def with_raw_response(self) -> ItemsWithRawResponse:
         """
@@ -79,7 +81,7 @@ def create(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._post(
-            f"/conversations/{conversation_id}/items",
+            path_template("/conversations/{conversation_id}/items", conversation_id=conversation_id),
             body=maybe_transform({"items": items}, item_create_params.ItemCreateParams),
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -127,7 +129,9 @@ def retrieve(
         return cast(
             ConversationItem,
             self._get(
-                f"/conversations/{conversation_id}/items/{item_id}",
+                path_template(
+                    "/conversations/{conversation_id}/items/{item_id}", conversation_id=conversation_id, item_id=item_id
+                ),
                 options=make_request_options(
                     extra_headers=extra_headers,
                     extra_query=extra_query,
@@ -198,7 +202,7 @@ def list(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._get_api_list(
-            f"/conversations/{conversation_id}/items",
+            path_template("/conversations/{conversation_id}/items", conversation_id=conversation_id),
             page=SyncConversationCursorPage[ConversationItem],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -247,7 +251,9 @@ def delete(
         if not item_id:
             raise ValueError(f"Expected a non-empty value for `item_id` but received {item_id!r}")
         return self._delete(
-            f"/conversations/{conversation_id}/items/{item_id}",
+            path_template(
+                "/conversations/{conversation_id}/items/{item_id}", conversation_id=conversation_id, item_id=item_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -256,6 +262,8 @@ def delete(
 
 
 class AsyncItems(AsyncAPIResource):
+    """Manage conversations and conversation items."""
+
     @cached_property
     def with_raw_response(self) -> AsyncItemsWithRawResponse:
         """
@@ -309,7 +317,7 @@ async def create(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return await self._post(
-            f"/conversations/{conversation_id}/items",
+            path_template("/conversations/{conversation_id}/items", conversation_id=conversation_id),
             body=await async_maybe_transform({"items": items}, item_create_params.ItemCreateParams),
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -357,7 +365,9 @@ async def retrieve(
         return cast(
             ConversationItem,
             await self._get(
-                f"/conversations/{conversation_id}/items/{item_id}",
+                path_template(
+                    "/conversations/{conversation_id}/items/{item_id}", conversation_id=conversation_id, item_id=item_id
+                ),
                 options=make_request_options(
                     extra_headers=extra_headers,
                     extra_query=extra_query,
@@ -428,7 +438,7 @@ def list(
         if not conversation_id:
             raise ValueError(f"Expected a non-empty value for `conversation_id` but received {conversation_id!r}")
         return self._get_api_list(
-            f"/conversations/{conversation_id}/items",
+            path_template("/conversations/{conversation_id}/items", conversation_id=conversation_id),
             page=AsyncConversationCursorPage[ConversationItem],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -477,7 +487,9 @@ async def delete(
         if not item_id:
             raise ValueError(f"Expected a non-empty value for `item_id` but received {item_id!r}")
         return await self._delete(
-            f"/conversations/{conversation_id}/items/{item_id}",
+            path_template(
+                "/conversations/{conversation_id}/items/{item_id}", conversation_id=conversation_id, item_id=item_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/embeddings.py b/portkey_ai/_vendor/openai/resources/embeddings.py
index 5dc3dfa9..86eb949a 100644
--- a/portkey_ai/_vendor/openai/resources/embeddings.py
+++ b/portkey_ai/_vendor/openai/resources/embeddings.py
@@ -25,6 +25,10 @@
 
 
 class Embeddings(SyncAPIResource):
+    """
+    Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+    """
+
     @cached_property
     def with_raw_response(self) -> EmbeddingsWithRawResponse:
         """
@@ -144,6 +148,10 @@ def parser(obj: CreateEmbeddingResponse) -> CreateEmbeddingResponse:
 
 
 class AsyncEmbeddings(AsyncAPIResource):
+    """
+    Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+    """
+
     @cached_property
     def with_raw_response(self) -> AsyncEmbeddingsWithRawResponse:
         """
diff --git a/portkey_ai/_vendor/openai/resources/evals/evals.py b/portkey_ai/_vendor/openai/resources/evals/evals.py
index 40c4a3e9..6acd669a 100644
--- a/portkey_ai/_vendor/openai/resources/evals/evals.py
+++ b/portkey_ai/_vendor/openai/resources/evals/evals.py
@@ -10,7 +10,7 @@
 from ... import _legacy_response
 from ...types import eval_list_params, eval_create_params, eval_update_params
 from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from .runs.runs import (
     Runs,
@@ -35,8 +35,11 @@
 
 
 class Evals(SyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def runs(self) -> Runs:
+        """Manage and run evals in the OpenAI platform."""
         return Runs(self._client)
 
     @cached_property
@@ -149,7 +152,7 @@ def retrieve(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._get(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -193,7 +196,7 @@ def update(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._post(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             body=maybe_transform(
                 {
                     "metadata": metadata,
@@ -290,7 +293,7 @@ def delete(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._delete(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -299,8 +302,11 @@ def delete(
 
 
 class AsyncEvals(AsyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def runs(self) -> AsyncRuns:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncRuns(self._client)
 
     @cached_property
@@ -413,7 +419,7 @@ async def retrieve(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return await self._get(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -457,7 +463,7 @@ async def update(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return await self._post(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             body=await async_maybe_transform(
                 {
                     "metadata": metadata,
@@ -554,7 +560,7 @@ async def delete(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return await self._delete(
-            f"/evals/{eval_id}",
+            path_template("/evals/{eval_id}", eval_id=eval_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -584,6 +590,7 @@ def __init__(self, evals: Evals) -> None:
 
     @cached_property
     def runs(self) -> RunsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         return RunsWithRawResponse(self._evals.runs)
 
 
@@ -609,6 +616,7 @@ def __init__(self, evals: AsyncEvals) -> None:
 
     @cached_property
     def runs(self) -> AsyncRunsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncRunsWithRawResponse(self._evals.runs)
 
 
@@ -634,6 +642,7 @@ def __init__(self, evals: Evals) -> None:
 
     @cached_property
     def runs(self) -> RunsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         return RunsWithStreamingResponse(self._evals.runs)
 
 
@@ -659,4 +668,5 @@ def __init__(self, evals: AsyncEvals) -> None:
 
     @cached_property
     def runs(self) -> AsyncRunsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncRunsWithStreamingResponse(self._evals.runs)
diff --git a/portkey_ai/_vendor/openai/resources/evals/runs/output_items.py b/portkey_ai/_vendor/openai/resources/evals/runs/output_items.py
index c2dee721..7a498a7e 100644
--- a/portkey_ai/_vendor/openai/resources/evals/runs/output_items.py
+++ b/portkey_ai/_vendor/openai/resources/evals/runs/output_items.py
@@ -8,7 +8,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform
+from ...._utils import path_template, maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -22,6 +22,8 @@
 
 
 class OutputItems(SyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def with_raw_response(self) -> OutputItemsWithRawResponse:
         """
@@ -73,7 +75,12 @@ def retrieve(
         if not output_item_id:
             raise ValueError(f"Expected a non-empty value for `output_item_id` but received {output_item_id!r}")
         return self._get(
-            f"/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}",
+            path_template(
+                "/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}",
+                eval_id=eval_id,
+                run_id=run_id,
+                output_item_id=output_item_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -123,7 +130,7 @@ def list(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return self._get_api_list(
-            f"/evals/{eval_id}/runs/{run_id}/output_items",
+            path_template("/evals/{eval_id}/runs/{run_id}/output_items", eval_id=eval_id, run_id=run_id),
             page=SyncCursorPage[OutputItemListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -145,6 +152,8 @@ def list(
 
 
 class AsyncOutputItems(AsyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def with_raw_response(self) -> AsyncOutputItemsWithRawResponse:
         """
@@ -196,7 +205,12 @@ async def retrieve(
         if not output_item_id:
             raise ValueError(f"Expected a non-empty value for `output_item_id` but received {output_item_id!r}")
         return await self._get(
-            f"/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}",
+            path_template(
+                "/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}",
+                eval_id=eval_id,
+                run_id=run_id,
+                output_item_id=output_item_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -246,7 +260,7 @@ def list(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return self._get_api_list(
-            f"/evals/{eval_id}/runs/{run_id}/output_items",
+            path_template("/evals/{eval_id}/runs/{run_id}/output_items", eval_id=eval_id, run_id=run_id),
             page=AsyncCursorPage[OutputItemListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/evals/runs/runs.py b/portkey_ai/_vendor/openai/resources/evals/runs/runs.py
index b747b198..152ce9cb 100644
--- a/portkey_ai/_vendor/openai/resources/evals/runs/runs.py
+++ b/portkey_ai/_vendor/openai/resources/evals/runs/runs.py
@@ -9,7 +9,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform, async_maybe_transform
+from ...._utils import path_template, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -35,8 +35,11 @@
 
 
 class Runs(SyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def output_items(self) -> OutputItems:
+        """Manage and run evals in the OpenAI platform."""
         return OutputItems(self._client)
 
     @cached_property
@@ -100,7 +103,7 @@ def create(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._post(
-            f"/evals/{eval_id}/runs",
+            path_template("/evals/{eval_id}/runs", eval_id=eval_id),
             body=maybe_transform(
                 {
                     "data_source": data_source,
@@ -144,7 +147,7 @@ def retrieve(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return self._get(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -191,7 +194,7 @@ def list(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._get_api_list(
-            f"/evals/{eval_id}/runs",
+            path_template("/evals/{eval_id}/runs", eval_id=eval_id),
             page=SyncCursorPage[RunListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -240,7 +243,7 @@ def delete(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return self._delete(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -276,7 +279,7 @@ def cancel(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return self._post(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -285,8 +288,11 @@ def cancel(
 
 
 class AsyncRuns(AsyncAPIResource):
+    """Manage and run evals in the OpenAI platform."""
+
     @cached_property
     def output_items(self) -> AsyncOutputItems:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncOutputItems(self._client)
 
     @cached_property
@@ -350,7 +356,7 @@ async def create(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return await self._post(
-            f"/evals/{eval_id}/runs",
+            path_template("/evals/{eval_id}/runs", eval_id=eval_id),
             body=await async_maybe_transform(
                 {
                     "data_source": data_source,
@@ -394,7 +400,7 @@ async def retrieve(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return await self._get(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -441,7 +447,7 @@ def list(
         if not eval_id:
             raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
         return self._get_api_list(
-            f"/evals/{eval_id}/runs",
+            path_template("/evals/{eval_id}/runs", eval_id=eval_id),
             page=AsyncCursorPage[RunListResponse],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -490,7 +496,7 @@ async def delete(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return await self._delete(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -526,7 +532,7 @@ async def cancel(
         if not run_id:
             raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
         return await self._post(
-            f"/evals/{eval_id}/runs/{run_id}",
+            path_template("/evals/{eval_id}/runs/{run_id}", eval_id=eval_id, run_id=run_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -556,6 +562,7 @@ def __init__(self, runs: Runs) -> None:
 
     @cached_property
     def output_items(self) -> OutputItemsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         return OutputItemsWithRawResponse(self._runs.output_items)
 
 
@@ -581,6 +588,7 @@ def __init__(self, runs: AsyncRuns) -> None:
 
     @cached_property
     def output_items(self) -> AsyncOutputItemsWithRawResponse:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncOutputItemsWithRawResponse(self._runs.output_items)
 
 
@@ -606,6 +614,7 @@ def __init__(self, runs: Runs) -> None:
 
     @cached_property
     def output_items(self) -> OutputItemsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         return OutputItemsWithStreamingResponse(self._runs.output_items)
 
 
@@ -631,4 +640,5 @@ def __init__(self, runs: AsyncRuns) -> None:
 
     @cached_property
     def output_items(self) -> AsyncOutputItemsWithStreamingResponse:
+        """Manage and run evals in the OpenAI platform."""
         return AsyncOutputItemsWithStreamingResponse(self._runs.output_items)
diff --git a/portkey_ai/_vendor/openai/resources/files.py b/portkey_ai/_vendor/openai/resources/files.py
index 964d6505..b03f11b0 100644
--- a/portkey_ai/_vendor/openai/resources/files.py
+++ b/portkey_ai/_vendor/openai/resources/files.py
@@ -12,7 +12,7 @@
 from .. import _legacy_response
 from ..types import FilePurpose, file_list_params, file_create_params
 from .._types import Body, Omit, Query, Headers, NotGiven, FileTypes, omit, not_given
-from .._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform
+from .._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
 from .._compat import cached_property
 from .._resource import SyncAPIResource, AsyncAPIResource
 from .._response import (
@@ -33,6 +33,10 @@
 
 
 class Files(SyncAPIResource):
+    """
+    Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+    """
+
     @cached_property
     def with_raw_response(self) -> FilesWithRawResponse:
         """
@@ -160,7 +164,7 @@ def retrieve(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return self._get(
-            f"/files/{file_id}",
+            path_template("/files/{file_id}", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -254,7 +258,7 @@ def delete(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return self._delete(
-            f"/files/{file_id}",
+            path_template("/files/{file_id}", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -288,7 +292,7 @@ def content(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return self._get(
-            f"/files/{file_id}/content",
+            path_template("/files/{file_id}/content", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -322,7 +326,7 @@ def retrieve_content(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return self._get(
-            f"/files/{file_id}/content",
+            path_template("/files/{file_id}/content", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -354,6 +358,10 @@ def wait_for_processing(
 
 
 class AsyncFiles(AsyncAPIResource):
+    """
+    Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+    """
+
     @cached_property
     def with_raw_response(self) -> AsyncFilesWithRawResponse:
         """
@@ -481,7 +489,7 @@ async def retrieve(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return await self._get(
-            f"/files/{file_id}",
+            path_template("/files/{file_id}", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -575,7 +583,7 @@ async def delete(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return await self._delete(
-            f"/files/{file_id}",
+            path_template("/files/{file_id}", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -609,7 +617,7 @@ async def content(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return await self._get(
-            f"/files/{file_id}/content",
+            path_template("/files/{file_id}/content", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -643,7 +651,7 @@ async def retrieve_content(
         if not file_id:
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         return await self._get(
-            f"/files/{file_id}/content",
+            path_template("/files/{file_id}/content", file_id=file_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/alpha.py b/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/alpha.py
index 54c05fab..183208d0 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/alpha.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/alpha.py
@@ -19,6 +19,7 @@
 class Alpha(SyncAPIResource):
     @cached_property
     def graders(self) -> Graders:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return Graders(self._client)
 
     @cached_property
@@ -44,6 +45,7 @@ def with_streaming_response(self) -> AlphaWithStreamingResponse:
 class AsyncAlpha(AsyncAPIResource):
     @cached_property
     def graders(self) -> AsyncGraders:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncGraders(self._client)
 
     @cached_property
@@ -72,6 +74,7 @@ def __init__(self, alpha: Alpha) -> None:
 
     @cached_property
     def graders(self) -> GradersWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return GradersWithRawResponse(self._alpha.graders)
 
 
@@ -81,6 +84,7 @@ def __init__(self, alpha: AsyncAlpha) -> None:
 
     @cached_property
     def graders(self) -> AsyncGradersWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncGradersWithRawResponse(self._alpha.graders)
 
 
@@ -90,6 +94,7 @@ def __init__(self, alpha: Alpha) -> None:
 
     @cached_property
     def graders(self) -> GradersWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return GradersWithStreamingResponse(self._alpha.graders)
 
 
@@ -99,4 +104,5 @@ def __init__(self, alpha: AsyncAlpha) -> None:
 
     @cached_property
     def graders(self) -> AsyncGradersWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncGradersWithStreamingResponse(self._alpha.graders)
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/graders.py b/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/graders.py
index e7a9b925..e5d5dea5 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/graders.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/alpha/graders.py
@@ -19,6 +19,8 @@
 
 
 class Graders(SyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> GradersWithRawResponse:
         """
@@ -127,6 +129,8 @@ def validate(
 
 
 class AsyncGraders(AsyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> AsyncGradersWithRawResponse:
         """
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/checkpoints.py b/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/checkpoints.py
index f59976a2..9c2ed6f5 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/checkpoints.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/checkpoints.py
@@ -19,6 +19,7 @@
 class Checkpoints(SyncAPIResource):
     @cached_property
     def permissions(self) -> Permissions:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return Permissions(self._client)
 
     @cached_property
@@ -44,6 +45,7 @@ def with_streaming_response(self) -> CheckpointsWithStreamingResponse:
 class AsyncCheckpoints(AsyncAPIResource):
     @cached_property
     def permissions(self) -> AsyncPermissions:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncPermissions(self._client)
 
     @cached_property
@@ -72,6 +74,7 @@ def __init__(self, checkpoints: Checkpoints) -> None:
 
     @cached_property
     def permissions(self) -> PermissionsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return PermissionsWithRawResponse(self._checkpoints.permissions)
 
 
@@ -81,6 +84,7 @@ def __init__(self, checkpoints: AsyncCheckpoints) -> None:
 
     @cached_property
     def permissions(self) -> AsyncPermissionsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncPermissionsWithRawResponse(self._checkpoints.permissions)
 
 
@@ -90,6 +94,7 @@ def __init__(self, checkpoints: Checkpoints) -> None:
 
     @cached_property
     def permissions(self) -> PermissionsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return PermissionsWithStreamingResponse(self._checkpoints.permissions)
 
 
@@ -99,4 +104,5 @@ def __init__(self, checkpoints: AsyncCheckpoints) -> None:
 
     @cached_property
     def permissions(self) -> AsyncPermissionsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncPermissionsWithStreamingResponse(self._checkpoints.permissions)
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/permissions.py b/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/permissions.py
index e7f55b82..15184e13 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/permissions.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/checkpoints/permissions.py
@@ -2,19 +2,25 @@
 
 from __future__ import annotations
 
+import typing_extensions
 from typing_extensions import Literal
 
 import httpx
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
-from ...._utils import maybe_transform, async_maybe_transform
+from ...._utils import path_template, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
-from ....pagination import SyncPage, AsyncPage
+from ....pagination import SyncPage, AsyncPage, SyncConversationCursorPage, AsyncConversationCursorPage
 from ...._base_client import AsyncPaginator, make_request_options
-from ....types.fine_tuning.checkpoints import permission_create_params, permission_retrieve_params
+from ....types.fine_tuning.checkpoints import (
+    permission_list_params,
+    permission_create_params,
+    permission_retrieve_params,
+)
+from ....types.fine_tuning.checkpoints.permission_list_response import PermissionListResponse
 from ....types.fine_tuning.checkpoints.permission_create_response import PermissionCreateResponse
 from ....types.fine_tuning.checkpoints.permission_delete_response import PermissionDeleteResponse
 from ....types.fine_tuning.checkpoints.permission_retrieve_response import PermissionRetrieveResponse
@@ -23,6 +29,8 @@
 
 
 class Permissions(SyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> PermissionsWithRawResponse:
         """
@@ -76,7 +84,10 @@ def create(
                 f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
             )
         return self._get_api_list(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
             page=SyncPage[PermissionCreateResponse],
             body=maybe_transform({"project_ids": project_ids}, permission_create_params.PermissionCreateParams),
             options=make_request_options(
@@ -86,6 +97,7 @@ def create(
             method="post",
         )
 
+    @typing_extensions.deprecated("Retrieve is deprecated. Please swap to the paginated list method instead.")
     def retrieve(
         self,
         fine_tuned_model_checkpoint: str,
@@ -129,7 +141,10 @@ def retrieve(
                 f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
             )
         return self._get(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -148,6 +163,72 @@ def retrieve(
             cast_to=PermissionRetrieveResponse,
         )
 
+    def list(
+        self,
+        fine_tuned_model_checkpoint: str,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["ascending", "descending"] | Omit = omit,
+        project_id: str | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SyncConversationCursorPage[PermissionListResponse]:
+        """
+        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).
+
+        Organization owners can use this endpoint to view all permissions for a
+        fine-tuned model checkpoint.
+
+        Args:
+          after: Identifier for the last permission ID from the previous pagination request.
+
+          limit: Number of permissions to retrieve.
+
+          order: The order in which to retrieve permissions.
+
+          project_id: The ID of the project to get permissions for.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not fine_tuned_model_checkpoint:
+            raise ValueError(
+                f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
+            )
+        return self._get_api_list(
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
+            page=SyncConversationCursorPage[PermissionListResponse],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                        "project_id": project_id,
+                    },
+                    permission_list_params.PermissionListParams,
+                ),
+            ),
+            model=PermissionListResponse,
+        )
+
     def delete(
         self,
         permission_id: str,
@@ -182,7 +263,11 @@ def delete(
         if not permission_id:
             raise ValueError(f"Expected a non-empty value for `permission_id` but received {permission_id!r}")
         return self._delete(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+                permission_id=permission_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -191,6 +276,8 @@ def delete(
 
 
 class AsyncPermissions(AsyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> AsyncPermissionsWithRawResponse:
         """
@@ -244,7 +331,10 @@ def create(
                 f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
             )
         return self._get_api_list(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
             page=AsyncPage[PermissionCreateResponse],
             body=maybe_transform({"project_ids": project_ids}, permission_create_params.PermissionCreateParams),
             options=make_request_options(
@@ -254,6 +344,7 @@ def create(
             method="post",
         )
 
+    @typing_extensions.deprecated("Retrieve is deprecated. Please swap to the paginated list method instead.")
     async def retrieve(
         self,
         fine_tuned_model_checkpoint: str,
@@ -297,7 +388,10 @@ async def retrieve(
                 f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
             )
         return await self._get(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -316,6 +410,72 @@ async def retrieve(
             cast_to=PermissionRetrieveResponse,
         )
 
+    def list(
+        self,
+        fine_tuned_model_checkpoint: str,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["ascending", "descending"] | Omit = omit,
+        project_id: str | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> AsyncPaginator[PermissionListResponse, AsyncConversationCursorPage[PermissionListResponse]]:
+        """
+        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).
+
+        Organization owners can use this endpoint to view all permissions for a
+        fine-tuned model checkpoint.
+
+        Args:
+          after: Identifier for the last permission ID from the previous pagination request.
+
+          limit: Number of permissions to retrieve.
+
+          order: The order in which to retrieve permissions.
+
+          project_id: The ID of the project to get permissions for.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not fine_tuned_model_checkpoint:
+            raise ValueError(
+                f"Expected a non-empty value for `fine_tuned_model_checkpoint` but received {fine_tuned_model_checkpoint!r}"
+            )
+        return self._get_api_list(
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            ),
+            page=AsyncConversationCursorPage[PermissionListResponse],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                        "project_id": project_id,
+                    },
+                    permission_list_params.PermissionListParams,
+                ),
+            ),
+            model=PermissionListResponse,
+        )
+
     async def delete(
         self,
         permission_id: str,
@@ -350,7 +510,11 @@ async def delete(
         if not permission_id:
             raise ValueError(f"Expected a non-empty value for `permission_id` but received {permission_id!r}")
         return await self._delete(
-            f"/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}",
+            path_template(
+                "/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}",
+                fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+                permission_id=permission_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -365,8 +529,13 @@ def __init__(self, permissions: Permissions) -> None:
         self.create = _legacy_response.to_raw_response_wrapper(
             permissions.create,
         )
-        self.retrieve = _legacy_response.to_raw_response_wrapper(
-            permissions.retrieve,
+        self.retrieve = (  # pyright: ignore[reportDeprecated]
+            _legacy_response.to_raw_response_wrapper(
+                permissions.retrieve,  # pyright: ignore[reportDeprecated],
+            )
+        )
+        self.list = _legacy_response.to_raw_response_wrapper(
+            permissions.list,
         )
         self.delete = _legacy_response.to_raw_response_wrapper(
             permissions.delete,
@@ -380,8 +549,13 @@ def __init__(self, permissions: AsyncPermissions) -> None:
         self.create = _legacy_response.async_to_raw_response_wrapper(
             permissions.create,
         )
-        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
-            permissions.retrieve,
+        self.retrieve = (  # pyright: ignore[reportDeprecated]
+            _legacy_response.async_to_raw_response_wrapper(
+                permissions.retrieve,  # pyright: ignore[reportDeprecated],
+            )
+        )
+        self.list = _legacy_response.async_to_raw_response_wrapper(
+            permissions.list,
         )
         self.delete = _legacy_response.async_to_raw_response_wrapper(
             permissions.delete,
@@ -395,8 +569,13 @@ def __init__(self, permissions: Permissions) -> None:
         self.create = to_streamed_response_wrapper(
             permissions.create,
         )
-        self.retrieve = to_streamed_response_wrapper(
-            permissions.retrieve,
+        self.retrieve = (  # pyright: ignore[reportDeprecated]
+            to_streamed_response_wrapper(
+                permissions.retrieve,  # pyright: ignore[reportDeprecated],
+            )
+        )
+        self.list = to_streamed_response_wrapper(
+            permissions.list,
         )
         self.delete = to_streamed_response_wrapper(
             permissions.delete,
@@ -410,8 +589,13 @@ def __init__(self, permissions: AsyncPermissions) -> None:
         self.create = async_to_streamed_response_wrapper(
             permissions.create,
         )
-        self.retrieve = async_to_streamed_response_wrapper(
-            permissions.retrieve,
+        self.retrieve = (  # pyright: ignore[reportDeprecated]
+            async_to_streamed_response_wrapper(
+                permissions.retrieve,  # pyright: ignore[reportDeprecated],
+            )
+        )
+        self.list = async_to_streamed_response_wrapper(
+            permissions.list,
         )
         self.delete = async_to_streamed_response_wrapper(
             permissions.delete,
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/fine_tuning.py b/portkey_ai/_vendor/openai/resources/fine_tuning/fine_tuning.py
index 25ae3e8c..60f1f44b 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/fine_tuning.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/fine_tuning.py
@@ -35,6 +35,7 @@
 class FineTuning(SyncAPIResource):
     @cached_property
     def jobs(self) -> Jobs:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return Jobs(self._client)
 
     @cached_property
@@ -68,6 +69,7 @@ def with_streaming_response(self) -> FineTuningWithStreamingResponse:
 class AsyncFineTuning(AsyncAPIResource):
     @cached_property
     def jobs(self) -> AsyncJobs:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncJobs(self._client)
 
     @cached_property
@@ -104,6 +106,7 @@ def __init__(self, fine_tuning: FineTuning) -> None:
 
     @cached_property
     def jobs(self) -> JobsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return JobsWithRawResponse(self._fine_tuning.jobs)
 
     @cached_property
@@ -121,6 +124,7 @@ def __init__(self, fine_tuning: AsyncFineTuning) -> None:
 
     @cached_property
     def jobs(self) -> AsyncJobsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncJobsWithRawResponse(self._fine_tuning.jobs)
 
     @cached_property
@@ -138,6 +142,7 @@ def __init__(self, fine_tuning: FineTuning) -> None:
 
     @cached_property
     def jobs(self) -> JobsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return JobsWithStreamingResponse(self._fine_tuning.jobs)
 
     @cached_property
@@ -155,6 +160,7 @@ def __init__(self, fine_tuning: AsyncFineTuning) -> None:
 
     @cached_property
     def jobs(self) -> AsyncJobsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncJobsWithStreamingResponse(self._fine_tuning.jobs)
 
     @cached_property
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/checkpoints.py b/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/checkpoints.py
index f65856f0..0f91a621 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/checkpoints.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/checkpoints.py
@@ -6,7 +6,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform
+from ...._utils import path_template, maybe_transform
 from ...._compat import cached_property
 from ...._resource import SyncAPIResource, AsyncAPIResource
 from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -22,6 +22,8 @@
 
 
 class Checkpoints(SyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> CheckpointsWithRawResponse:
         """
@@ -73,7 +75,7 @@ def list(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._get_api_list(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints", fine_tuning_job_id=fine_tuning_job_id),
             page=SyncCursorPage[FineTuningJobCheckpoint],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -93,6 +95,8 @@ def list(
 
 
 class AsyncCheckpoints(AsyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def with_raw_response(self) -> AsyncCheckpointsWithRawResponse:
         """
@@ -144,7 +148,7 @@ def list(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._get_api_list(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints", fine_tuning_job_id=fine_tuning_job_id),
             page=AsyncCursorPage[FineTuningJobCheckpoint],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/jobs.py b/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/jobs.py
index b292e057..a948b103 100644
--- a/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/jobs.py
+++ b/portkey_ai/_vendor/openai/resources/fine_tuning/jobs/jobs.py
@@ -9,7 +9,7 @@
 
 from .... import _legacy_response
 from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ...._utils import maybe_transform, async_maybe_transform
+from ...._utils import path_template, maybe_transform, async_maybe_transform
 from ...._compat import cached_property
 from .checkpoints import (
     Checkpoints,
@@ -35,8 +35,11 @@
 
 
 class Jobs(SyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def checkpoints(self) -> Checkpoints:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return Checkpoints(self._client)
 
     @cached_property
@@ -205,7 +208,7 @@ def retrieve(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._get(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -290,7 +293,7 @@ def cancel(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/cancel",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/cancel", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -329,7 +332,7 @@ def list_events(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._get_api_list(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/events",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/events", fine_tuning_job_id=fine_tuning_job_id),
             page=SyncCursorPage[FineTuningJobEvent],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -373,7 +376,7 @@ def pause(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/pause",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/pause", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -406,7 +409,7 @@ def resume(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/resume",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/resume", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -415,8 +418,11 @@ def resume(
 
 
 class AsyncJobs(AsyncAPIResource):
+    """Manage fine-tuning jobs to tailor a model to your specific training data."""
+
     @cached_property
     def checkpoints(self) -> AsyncCheckpoints:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncCheckpoints(self._client)
 
     @cached_property
@@ -585,7 +591,7 @@ async def retrieve(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return await self._get(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -670,7 +676,7 @@ async def cancel(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return await self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/cancel",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/cancel", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -709,7 +715,7 @@ def list_events(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return self._get_api_list(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/events",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/events", fine_tuning_job_id=fine_tuning_job_id),
             page=AsyncCursorPage[FineTuningJobEvent],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -753,7 +759,7 @@ async def pause(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return await self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/pause",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/pause", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -786,7 +792,7 @@ async def resume(
         if not fine_tuning_job_id:
             raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
         return await self._post(
-            f"/fine_tuning/jobs/{fine_tuning_job_id}/resume",
+            path_template("/fine_tuning/jobs/{fine_tuning_job_id}/resume", fine_tuning_job_id=fine_tuning_job_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -822,6 +828,7 @@ def __init__(self, jobs: Jobs) -> None:
 
     @cached_property
     def checkpoints(self) -> CheckpointsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return CheckpointsWithRawResponse(self._jobs.checkpoints)
 
 
@@ -853,6 +860,7 @@ def __init__(self, jobs: AsyncJobs) -> None:
 
     @cached_property
     def checkpoints(self) -> AsyncCheckpointsWithRawResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncCheckpointsWithRawResponse(self._jobs.checkpoints)
 
 
@@ -884,6 +892,7 @@ def __init__(self, jobs: Jobs) -> None:
 
     @cached_property
     def checkpoints(self) -> CheckpointsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return CheckpointsWithStreamingResponse(self._jobs.checkpoints)
 
 
@@ -915,4 +924,5 @@ def __init__(self, jobs: AsyncJobs) -> None:
 
     @cached_property
     def checkpoints(self) -> AsyncCheckpointsWithStreamingResponse:
+        """Manage fine-tuning jobs to tailor a model to your specific training data."""
         return AsyncCheckpointsWithStreamingResponse(self._jobs.checkpoints)
diff --git a/portkey_ai/_vendor/openai/resources/images.py b/portkey_ai/_vendor/openai/resources/images.py
index 80582848..6959c2ae 100644
--- a/portkey_ai/_vendor/openai/resources/images.py
+++ b/portkey_ai/_vendor/openai/resources/images.py
@@ -25,6 +25,8 @@
 
 
 class Images(SyncAPIResource):
+    """Given a prompt and/or an input image, the model will generate a new image."""
+
     @cached_property
     def with_raw_response(self) -> ImagesWithRawResponse:
         """
@@ -147,14 +149,15 @@ def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -172,17 +175,15 @@ def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -201,14 +202,13 @@ def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
@@ -262,14 +262,15 @@ def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -291,17 +292,15 @@ def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -320,14 +319,13 @@ def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
@@ -377,14 +375,15 @@ def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -406,17 +405,15 @@ def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -435,14 +432,13 @@ def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
@@ -921,6 +917,8 @@ def generate(
 
 
 class AsyncImages(AsyncAPIResource):
+    """Given a prompt and/or an input image, the model will generate a new image."""
+
     @cached_property
     def with_raw_response(self) -> AsyncImagesWithRawResponse:
         """
@@ -1043,14 +1041,15 @@ async def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -1068,17 +1067,15 @@ async def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -1097,14 +1094,13 @@ async def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
@@ -1158,14 +1154,15 @@ async def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -1187,17 +1184,15 @@ async def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -1216,14 +1211,13 @@ async def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
@@ -1273,14 +1267,15 @@ async def edit(
         prompt.
 
         This endpoint supports GPT Image models (`gpt-image-1.5`, `gpt-image-1`,
-        and `gpt-image-1-mini`) and `dall-e-2`.
+        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.
 
         Args:
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
               `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-              50MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+              input constraints as GPT image models.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -1302,17 +1297,15 @@ async def edit(
 
           input_fidelity: Control how much effort the model will exert to match the style and features,
               especially facial features, of input images. This parameter is only supported
-              for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-              `low`. Defaults to `low`.
+              for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+              `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
 
           mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
               indicate where `image` should be edited. If there are multiple images provided,
               the mask will be applied on the first image. Must be a valid PNG file, less than
               4MB, and have the same dimensions as `image`.
 
-          model: The model to use for image generation. Only `dall-e-2` and the GPT image models
-              are supported. Defaults to `dall-e-2` unless a parameter specific to the GPT
-              image models is used.
+          model: The model to use for image generation. Defaults to `gpt-image-1.5`.
 
           n: The number of images to generate. Must be between 1 and 10.
 
@@ -1331,14 +1324,13 @@ async def edit(
               Note that the final image may be sent before the full number of partial images
               are generated if the full image is generated more quickly.
 
-          quality: The quality of the image that will be generated. `high`, `medium` and `low` are
-              only supported for the GPT image models. `dall-e-2` only supports `standard`
-              quality. Defaults to `auto`.
+          quality: The quality of the image that will be generated for GPT image models. Defaults
+              to `auto`.
 
           response_format: The format in which the generated images are returned. Must be one of `url` or
               `b64_json`. URLs are only valid for 60 minutes after the image has been
-              generated. This parameter is only supported for `dall-e-2`, as the GPT image
-              models always return base64-encoded images.
+              generated. This parameter is only supported for `dall-e-2` (default is `url` for
+              `dall-e-2`), as GPT image models always return base64-encoded images.
 
           size: The size of the generated images. Must be one of `1024x1024`, `1536x1024`
               (landscape), `1024x1536` (portrait), or `auto` (default value) for the GPT image
diff --git a/portkey_ai/_vendor/openai/resources/models.py b/portkey_ai/_vendor/openai/resources/models.py
index a8f76910..a1fe0d39 100644
--- a/portkey_ai/_vendor/openai/resources/models.py
+++ b/portkey_ai/_vendor/openai/resources/models.py
@@ -6,6 +6,7 @@
 
 from .. import _legacy_response
 from .._types import Body, Query, Headers, NotGiven, not_given
+from .._utils import path_template
 from .._compat import cached_property
 from .._resource import SyncAPIResource, AsyncAPIResource
 from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -21,6 +22,8 @@
 
 
 class Models(SyncAPIResource):
+    """List and describe the various models available in the API."""
+
     @cached_property
     def with_raw_response(self) -> ModelsWithRawResponse:
         """
@@ -67,7 +70,7 @@ def retrieve(
         if not model:
             raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
         return self._get(
-            f"/models/{model}",
+            path_template("/models/{model}", model=model),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -125,7 +128,7 @@ def delete(
         if not model:
             raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
         return self._delete(
-            f"/models/{model}",
+            path_template("/models/{model}", model=model),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -134,6 +137,8 @@ def delete(
 
 
 class AsyncModels(AsyncAPIResource):
+    """List and describe the various models available in the API."""
+
     @cached_property
     def with_raw_response(self) -> AsyncModelsWithRawResponse:
         """
@@ -180,7 +185,7 @@ async def retrieve(
         if not model:
             raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
         return await self._get(
-            f"/models/{model}",
+            path_template("/models/{model}", model=model),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -238,7 +243,7 @@ async def delete(
         if not model:
             raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
         return await self._delete(
-            f"/models/{model}",
+            path_template("/models/{model}", model=model),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
diff --git a/portkey_ai/_vendor/openai/resources/moderations.py b/portkey_ai/_vendor/openai/resources/moderations.py
index 5f378f71..0b9a2d23 100644
--- a/portkey_ai/_vendor/openai/resources/moderations.py
+++ b/portkey_ai/_vendor/openai/resources/moderations.py
@@ -22,6 +22,10 @@
 
 
 class Moderations(SyncAPIResource):
+    """
+    Given text and/or image inputs, classifies if those inputs are potentially harmful.
+    """
+
     @cached_property
     def with_raw_response(self) -> ModerationsWithRawResponse:
         """
@@ -92,6 +96,10 @@ def create(
 
 
 class AsyncModerations(AsyncAPIResource):
+    """
+    Given text and/or image inputs, classifies if those inputs are potentially harmful.
+    """
+
     @cached_property
     def with_raw_response(self) -> AsyncModerationsWithRawResponse:
         """
diff --git a/portkey_ai/_vendor/openai/resources/realtime/api.md b/portkey_ai/_vendor/openai/resources/realtime/api.md
new file mode 100644
index 00000000..1a178384
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/realtime/api.md
@@ -0,0 +1,137 @@
+# Realtime
+
+Types:
+
+```python
+from openai.types.realtime import (
+    AudioTranscription,
+    ConversationCreatedEvent,
+    ConversationItem,
+    ConversationItemAdded,
+    ConversationItemCreateEvent,
+    ConversationItemCreatedEvent,
+    ConversationItemDeleteEvent,
+    ConversationItemDeletedEvent,
+    ConversationItemDone,
+    ConversationItemInputAudioTranscriptionCompletedEvent,
+    ConversationItemInputAudioTranscriptionDeltaEvent,
+    ConversationItemInputAudioTranscriptionFailedEvent,
+    ConversationItemInputAudioTranscriptionSegment,
+    ConversationItemRetrieveEvent,
+    ConversationItemTruncateEvent,
+    ConversationItemTruncatedEvent,
+    ConversationItemWithReference,
+    InputAudioBufferAppendEvent,
+    InputAudioBufferClearEvent,
+    InputAudioBufferClearedEvent,
+    InputAudioBufferCommitEvent,
+    InputAudioBufferCommittedEvent,
+    InputAudioBufferDtmfEventReceivedEvent,
+    InputAudioBufferSpeechStartedEvent,
+    InputAudioBufferSpeechStoppedEvent,
+    InputAudioBufferTimeoutTriggered,
+    LogProbProperties,
+    McpListToolsCompleted,
+    McpListToolsFailed,
+    McpListToolsInProgress,
+    NoiseReductionType,
+    OutputAudioBufferClearEvent,
+    RateLimitsUpdatedEvent,
+    RealtimeAudioConfig,
+    RealtimeAudioConfigInput,
+    RealtimeAudioConfigOutput,
+    RealtimeAudioFormats,
+    RealtimeAudioInputTurnDetection,
+    RealtimeClientEvent,
+    RealtimeConversationItemAssistantMessage,
+    RealtimeConversationItemFunctionCall,
+    RealtimeConversationItemFunctionCallOutput,
+    RealtimeConversationItemSystemMessage,
+    RealtimeConversationItemUserMessage,
+    RealtimeError,
+    RealtimeErrorEvent,
+    RealtimeFunctionTool,
+    RealtimeMcpApprovalRequest,
+    RealtimeMcpApprovalResponse,
+    RealtimeMcpListTools,
+    RealtimeMcpProtocolError,
+    RealtimeMcpToolCall,
+    RealtimeMcpToolExecutionError,
+    RealtimeMcphttpError,
+    RealtimeResponse,
+    RealtimeResponseCreateAudioOutput,
+    RealtimeResponseCreateMcpTool,
+    RealtimeResponseCreateParams,
+    RealtimeResponseStatus,
+    RealtimeResponseUsage,
+    RealtimeResponseUsageInputTokenDetails,
+    RealtimeResponseUsageOutputTokenDetails,
+    RealtimeServerEvent,
+    RealtimeSession,
+    RealtimeSessionCreateRequest,
+    RealtimeToolChoiceConfig,
+    RealtimeToolsConfig,
+    RealtimeToolsConfigUnion,
+    RealtimeTracingConfig,
+    RealtimeTranscriptionSessionAudio,
+    RealtimeTranscriptionSessionAudioInput,
+    RealtimeTranscriptionSessionAudioInputTurnDetection,
+    RealtimeTranscriptionSessionCreateRequest,
+    RealtimeTruncation,
+    RealtimeTruncationRetentionRatio,
+    ResponseAudioDeltaEvent,
+    ResponseAudioDoneEvent,
+    ResponseAudioTranscriptDeltaEvent,
+    ResponseAudioTranscriptDoneEvent,
+    ResponseCancelEvent,
+    ResponseContentPartAddedEvent,
+    ResponseContentPartDoneEvent,
+    ResponseCreateEvent,
+    ResponseCreatedEvent,
+    ResponseDoneEvent,
+    ResponseFunctionCallArgumentsDeltaEvent,
+    ResponseFunctionCallArgumentsDoneEvent,
+    ResponseMcpCallArgumentsDelta,
+    ResponseMcpCallArgumentsDone,
+    ResponseMcpCallCompleted,
+    ResponseMcpCallFailed,
+    ResponseMcpCallInProgress,
+    ResponseOutputItemAddedEvent,
+    ResponseOutputItemDoneEvent,
+    ResponseTextDeltaEvent,
+    ResponseTextDoneEvent,
+    SessionCreatedEvent,
+    SessionUpdateEvent,
+    SessionUpdatedEvent,
+    TranscriptionSessionUpdate,
+    TranscriptionSessionUpdatedEvent,
+)
+```
+
+## ClientSecrets
+
+Types:
+
+```python
+from openai.types.realtime import (
+    RealtimeSessionClientSecret,
+    RealtimeSessionCreateResponse,
+    RealtimeTranscriptionSessionCreateResponse,
+    RealtimeTranscriptionSessionTurnDetection,
+    ClientSecretCreateResponse,
+)
+```
+
+Methods:
+
+- <code title="post /realtime/client_secrets">client.realtime.client_secrets.<a href="./src/openai/resources/realtime/client_secrets.py">create</a>(\*\*<a href="src/openai/types/realtime/client_secret_create_params.py">params</a>) -> <a href="./src/openai/types/realtime/client_secret_create_response.py">ClientSecretCreateResponse</a></code>
+
+## Calls
+
+Methods:
+
+- <code title="post /realtime/calls">client.realtime.calls.<a href="./src/openai/resources/realtime/calls.py">create</a>(\*\*<a href="src/openai/types/realtime/call_create_params.py">params</a>) -> HttpxBinaryResponseContent</code>
+- <code title="post /realtime/calls/{call_id}/accept">client.realtime.calls.<a href="./src/openai/resources/realtime/calls.py">accept</a>(call_id, \*\*<a href="src/openai/types/realtime/call_accept_params.py">params</a>) -> None</code>
+- <code title="post /realtime/calls/{call_id}/hangup">client.realtime.calls.<a href="./src/openai/resources/realtime/calls.py">hangup</a>(call_id) -> None</code>
+- <code title="post /realtime/calls/{call_id}/refer">client.realtime.calls.<a href="./src/openai/resources/realtime/calls.py">refer</a>(call_id, \*\*<a href="src/openai/types/realtime/call_refer_params.py">params</a>) -> None</code>
+- <code title="post /realtime/calls/{call_id}/reject">client.realtime.calls.<a href="./src/openai/resources/realtime/calls.py">reject</a>(call_id, \*\*<a href="src/openai/types/realtime/call_reject_params.py">params</a>) -> None</code>
diff --git a/portkey_ai/_vendor/openai/resources/realtime/calls.py b/portkey_ai/_vendor/openai/resources/realtime/calls.py
index 20a22fc3..f34748d2 100644
--- a/portkey_ai/_vendor/openai/resources/realtime/calls.py
+++ b/portkey_ai/_vendor/openai/resources/realtime/calls.py
@@ -9,7 +9,7 @@
 
 from ... import _legacy_response
 from ..._types import Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import (
@@ -116,6 +116,7 @@ def accept(
             str,
             Literal[
                 "gpt-realtime",
+                "gpt-realtime-1.5",
                 "gpt-realtime-2025-08-28",
                 "gpt-4o-realtime-preview",
                 "gpt-4o-realtime-preview-2024-10-01",
@@ -126,6 +127,7 @@ def accept(
                 "gpt-realtime-mini",
                 "gpt-realtime-mini-2025-10-06",
                 "gpt-realtime-mini-2025-12-15",
+                "gpt-audio-1.5",
                 "gpt-audio-mini",
                 "gpt-audio-mini-2025-10-06",
                 "gpt-audio-mini-2025-12-15",
@@ -228,7 +230,7 @@ def accept(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._post(
-            f"/realtime/calls/{call_id}/accept",
+            path_template("/realtime/calls/{call_id}/accept", call_id=call_id),
             body=maybe_transform(
                 {
                     "type": type,
@@ -279,7 +281,7 @@ def hangup(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._post(
-            f"/realtime/calls/{call_id}/hangup",
+            path_template("/realtime/calls/{call_id}/hangup", call_id=call_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -317,7 +319,7 @@ def refer(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._post(
-            f"/realtime/calls/{call_id}/refer",
+            path_template("/realtime/calls/{call_id}/refer", call_id=call_id),
             body=maybe_transform({"target_uri": target_uri}, call_refer_params.CallReferParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -356,7 +358,7 @@ def reject(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._post(
-            f"/realtime/calls/{call_id}/reject",
+            path_template("/realtime/calls/{call_id}/reject", call_id=call_id),
             body=maybe_transform({"status_code": status_code}, call_reject_params.CallRejectParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -443,6 +445,7 @@ async def accept(
             str,
             Literal[
                 "gpt-realtime",
+                "gpt-realtime-1.5",
                 "gpt-realtime-2025-08-28",
                 "gpt-4o-realtime-preview",
                 "gpt-4o-realtime-preview-2024-10-01",
@@ -453,6 +456,7 @@ async def accept(
                 "gpt-realtime-mini",
                 "gpt-realtime-mini-2025-10-06",
                 "gpt-realtime-mini-2025-12-15",
+                "gpt-audio-1.5",
                 "gpt-audio-mini",
                 "gpt-audio-mini-2025-10-06",
                 "gpt-audio-mini-2025-12-15",
@@ -555,7 +559,7 @@ async def accept(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._post(
-            f"/realtime/calls/{call_id}/accept",
+            path_template("/realtime/calls/{call_id}/accept", call_id=call_id),
             body=await async_maybe_transform(
                 {
                     "type": type,
@@ -606,7 +610,7 @@ async def hangup(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._post(
-            f"/realtime/calls/{call_id}/hangup",
+            path_template("/realtime/calls/{call_id}/hangup", call_id=call_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -644,7 +648,7 @@ async def refer(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._post(
-            f"/realtime/calls/{call_id}/refer",
+            path_template("/realtime/calls/{call_id}/refer", call_id=call_id),
             body=await async_maybe_transform({"target_uri": target_uri}, call_refer_params.CallReferParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -683,7 +687,7 @@ async def reject(
             raise ValueError(f"Expected a non-empty value for `call_id` but received {call_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._post(
-            f"/realtime/calls/{call_id}/reject",
+            path_template("/realtime/calls/{call_id}/reject", call_id=call_id),
             body=await async_maybe_transform({"status_code": status_code}, call_reject_params.CallRejectParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
diff --git a/portkey_ai/_vendor/openai/resources/realtime/client_secrets.py b/portkey_ai/_vendor/openai/resources/realtime/client_secrets.py
index 5ceba7be..d9947dd7 100644
--- a/portkey_ai/_vendor/openai/resources/realtime/client_secrets.py
+++ b/portkey_ai/_vendor/openai/resources/realtime/client_secrets.py
@@ -52,6 +52,20 @@ def create(
         """
         Create a Realtime client secret with an associated session configuration.
 
+        Client secrets are short-lived tokens that can be passed to a client app, such
+        as a web frontend or mobile client, which grants access to the Realtime API
+        without leaking your main API key. You can configure a custom TTL for each
+        client secret.
+
+        You can also attach session configuration options to the client secret, which
+        will be applied to any sessions created using that client secret, but these can
+        also be overridden by the client connection.
+
+        [Learn more about authentication with client secrets over WebRTC](https://platform.openai.com/docs/guides/realtime-webrtc).
+
+        Returns the created client secret and the effective session object. The client
+        secret is a string that looks like `ek_1234`.
+
         Args:
           expires_after: Configuration for the client secret expiration. Expiration refers to the time
               after which a client secret will no longer be valid for creating sessions. The
@@ -120,6 +134,20 @@ async def create(
         """
         Create a Realtime client secret with an associated session configuration.
 
+        Client secrets are short-lived tokens that can be passed to a client app, such
+        as a web frontend or mobile client, which grants access to the Realtime API
+        without leaking your main API key. You can configure a custom TTL for each
+        client secret.
+
+        You can also attach session configuration options to the client secret, which
+        will be applied to any sessions created using that client secret, but these can
+        also be overridden by the client connection.
+
+        [Learn more about authentication with client secrets over WebRTC](https://platform.openai.com/docs/guides/realtime-webrtc).
+
+        Returns the created client secret and the effective session object. The client
+        secret is a string that looks like `ek_1234`.
+
         Args:
           expires_after: Configuration for the client secret expiration. Expiration refers to the time
               after which a client secret will no longer be valid for creating sessions. The
diff --git a/portkey_ai/_vendor/openai/resources/realtime/realtime.py b/portkey_ai/_vendor/openai/resources/realtime/realtime.py
index 44f14cd3..73a87fc2 100644
--- a/portkey_ai/_vendor/openai/resources/realtime/realtime.py
+++ b/portkey_ai/_vendor/openai/resources/realtime/realtime.py
@@ -41,7 +41,7 @@
     AsyncClientSecretsWithStreamingResponse,
 )
 from ...types.realtime import session_update_event_param
-from ...types.websocket_connection_options import WebsocketConnectionOptions
+from ...types.websocket_connection_options import WebSocketConnectionOptions
 from ...types.realtime.realtime_client_event import RealtimeClientEvent
 from ...types.realtime.realtime_server_event import RealtimeServerEvent
 from ...types.realtime.conversation_item_param import ConversationItemParam
@@ -49,8 +49,8 @@
 from ...types.realtime.realtime_response_create_params_param import RealtimeResponseCreateParamsParam
 
 if TYPE_CHECKING:
-    from websockets.sync.client import ClientConnection as WebsocketConnection
-    from websockets.asyncio.client import ClientConnection as AsyncWebsocketConnection
+    from websockets.sync.client import ClientConnection as WebSocketConnection
+    from websockets.asyncio.client import ClientConnection as AsyncWebSocketConnection
 
     from ..._client import OpenAI, AsyncOpenAI
 
@@ -96,7 +96,7 @@ def connect(
         model: str | Omit = omit,
         extra_query: Query = {},
         extra_headers: Headers = {},
-        websocket_connection_options: WebsocketConnectionOptions = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
     ) -> RealtimeConnectionManager:
         """
         The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as function calling.
@@ -156,7 +156,7 @@ def connect(
         model: str | Omit = omit,
         extra_query: Query = {},
         extra_headers: Headers = {},
-        websocket_connection_options: WebsocketConnectionOptions = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
     ) -> AsyncRealtimeConnectionManager:
         """
         The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as function calling.
@@ -240,9 +240,9 @@ class AsyncRealtimeConnection:
     conversation: AsyncRealtimeConversationResource
     output_audio_buffer: AsyncRealtimeOutputAudioBufferResource
 
-    _connection: AsyncWebsocketConnection
+    _connection: AsyncWebSocketConnection
 
-    def __init__(self, connection: AsyncWebsocketConnection) -> None:
+    def __init__(self, connection: AsyncWebSocketConnection) -> None:
         self._connection = connection
 
         self.session = AsyncRealtimeSessionResource(self)
@@ -281,7 +281,7 @@ async def recv_bytes(self) -> bytes:
         then you can call `.parse_event(data)`.
         """
         message = await self._connection.recv(decode=False)
-        log.debug(f"Received websocket message: %s", message)
+        log.debug(f"Received WebSocket message: %s", message)
         return message
 
     async def send(self, event: RealtimeClientEvent | RealtimeClientEventParam) -> None:
@@ -334,7 +334,7 @@ def __init__(
         model: str | Omit = omit,
         extra_query: Query,
         extra_headers: Headers,
-        websocket_connection_options: WebsocketConnectionOptions,
+        websocket_connection_options: WebSocketConnectionOptions,
     ) -> None:
         self.__client = client
         self.__call_id = call_id
@@ -408,7 +408,9 @@ def _prepare_url(self) -> httpx.URL:
         if self.__client.websocket_base_url is not None:
             base_url = httpx.URL(self.__client.websocket_base_url)
         else:
-            base_url = self.__client._base_url.copy_with(scheme="wss")
+            scheme = self.__client._base_url.scheme
+            ws_scheme = "ws" if scheme == "http" else "wss"
+            base_url = self.__client._base_url.copy_with(scheme=ws_scheme)
 
         merge_raw_path = base_url.raw_path.rstrip(b"/") + b"/realtime"
         return base_url.copy_with(raw_path=merge_raw_path)
@@ -429,9 +431,9 @@ class RealtimeConnection:
     conversation: RealtimeConversationResource
     output_audio_buffer: RealtimeOutputAudioBufferResource
 
-    _connection: WebsocketConnection
+    _connection: WebSocketConnection
 
-    def __init__(self, connection: WebsocketConnection) -> None:
+    def __init__(self, connection: WebSocketConnection) -> None:
         self._connection = connection
 
         self.session = RealtimeSessionResource(self)
@@ -470,7 +472,7 @@ def recv_bytes(self) -> bytes:
         then you can call `.parse_event(data)`.
         """
         message = self._connection.recv(decode=False)
-        log.debug(f"Received websocket message: %s", message)
+        log.debug(f"Received WebSocket message: %s", message)
         return message
 
     def send(self, event: RealtimeClientEvent | RealtimeClientEventParam) -> None:
@@ -523,7 +525,7 @@ def __init__(
         model: str | Omit = omit,
         extra_query: Query,
         extra_headers: Headers,
-        websocket_connection_options: WebsocketConnectionOptions,
+        websocket_connection_options: WebSocketConnectionOptions,
     ) -> None:
         self.__client = client
         self.__call_id = call_id
@@ -597,7 +599,9 @@ def _prepare_url(self) -> httpx.URL:
         if self.__client.websocket_base_url is not None:
             base_url = httpx.URL(self.__client.websocket_base_url)
         else:
-            base_url = self.__client._base_url.copy_with(scheme="wss")
+            scheme = self.__client._base_url.scheme
+            ws_scheme = "ws" if scheme == "http" else "wss"
+            base_url = self.__client._base_url.copy_with(scheme=ws_scheme)
 
         merge_raw_path = base_url.raw_path.rstrip(b"/") + b"/realtime"
         return base_url.copy_with(raw_path=merge_raw_path)
diff --git a/portkey_ai/_vendor/openai/resources/responses/api.md b/portkey_ai/_vendor/openai/resources/responses/api.md
new file mode 100644
index 00000000..891e0f97
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/responses/api.md
@@ -0,0 +1,187 @@
+# Responses
+
+Types:
+
+```python
+from openai.types.responses import (
+    ApplyPatchTool,
+    CompactedResponse,
+    ComputerAction,
+    ComputerActionList,
+    ComputerTool,
+    ComputerUsePreviewTool,
+    ContainerAuto,
+    ContainerNetworkPolicyAllowlist,
+    ContainerNetworkPolicyDisabled,
+    ContainerNetworkPolicyDomainSecret,
+    ContainerReference,
+    CustomTool,
+    EasyInputMessage,
+    FileSearchTool,
+    FunctionShellTool,
+    FunctionTool,
+    InlineSkill,
+    InlineSkillSource,
+    LocalEnvironment,
+    LocalSkill,
+    NamespaceTool,
+    Response,
+    ResponseApplyPatchToolCall,
+    ResponseApplyPatchToolCallOutput,
+    ResponseAudioDeltaEvent,
+    ResponseAudioDoneEvent,
+    ResponseAudioTranscriptDeltaEvent,
+    ResponseAudioTranscriptDoneEvent,
+    ResponseCodeInterpreterCallCodeDeltaEvent,
+    ResponseCodeInterpreterCallCodeDoneEvent,
+    ResponseCodeInterpreterCallCompletedEvent,
+    ResponseCodeInterpreterCallInProgressEvent,
+    ResponseCodeInterpreterCallInterpretingEvent,
+    ResponseCodeInterpreterToolCall,
+    ResponseCompactionItem,
+    ResponseCompactionItemParam,
+    ResponseCompletedEvent,
+    ResponseComputerToolCall,
+    ResponseComputerToolCallOutputItem,
+    ResponseComputerToolCallOutputScreenshot,
+    ResponseContainerReference,
+    ResponseContent,
+    ResponseContentPartAddedEvent,
+    ResponseContentPartDoneEvent,
+    ResponseConversationParam,
+    ResponseCreatedEvent,
+    ResponseCustomToolCall,
+    ResponseCustomToolCallInputDeltaEvent,
+    ResponseCustomToolCallInputDoneEvent,
+    ResponseCustomToolCallItem,
+    ResponseCustomToolCallOutput,
+    ResponseCustomToolCallOutputItem,
+    ResponseError,
+    ResponseErrorEvent,
+    ResponseFailedEvent,
+    ResponseFileSearchCallCompletedEvent,
+    ResponseFileSearchCallInProgressEvent,
+    ResponseFileSearchCallSearchingEvent,
+    ResponseFileSearchToolCall,
+    ResponseFormatTextConfig,
+    ResponseFormatTextJSONSchemaConfig,
+    ResponseFunctionCallArgumentsDeltaEvent,
+    ResponseFunctionCallArgumentsDoneEvent,
+    ResponseFunctionCallOutputItem,
+    ResponseFunctionCallOutputItemList,
+    ResponseFunctionShellCallOutputContent,
+    ResponseFunctionShellToolCall,
+    ResponseFunctionShellToolCallOutput,
+    ResponseFunctionToolCall,
+    ResponseFunctionToolCallItem,
+    ResponseFunctionToolCallOutputItem,
+    ResponseFunctionWebSearch,
+    ResponseImageGenCallCompletedEvent,
+    ResponseImageGenCallGeneratingEvent,
+    ResponseImageGenCallInProgressEvent,
+    ResponseImageGenCallPartialImageEvent,
+    ResponseInProgressEvent,
+    ResponseIncludable,
+    ResponseIncompleteEvent,
+    ResponseInput,
+    ResponseInputAudio,
+    ResponseInputContent,
+    ResponseInputFile,
+    ResponseInputFileContent,
+    ResponseInputImage,
+    ResponseInputImageContent,
+    ResponseInputItem,
+    ResponseInputMessageContentList,
+    ResponseInputMessageItem,
+    ResponseInputText,
+    ResponseInputTextContent,
+    ResponseItem,
+    ResponseLocalEnvironment,
+    ResponseMcpCallArgumentsDeltaEvent,
+    ResponseMcpCallArgumentsDoneEvent,
+    ResponseMcpCallCompletedEvent,
+    ResponseMcpCallFailedEvent,
+    ResponseMcpCallInProgressEvent,
+    ResponseMcpListToolsCompletedEvent,
+    ResponseMcpListToolsFailedEvent,
+    ResponseMcpListToolsInProgressEvent,
+    ResponseOutputAudio,
+    ResponseOutputItem,
+    ResponseOutputItemAddedEvent,
+    ResponseOutputItemDoneEvent,
+    ResponseOutputMessage,
+    ResponseOutputRefusal,
+    ResponseOutputText,
+    ResponseOutputTextAnnotationAddedEvent,
+    ResponsePrompt,
+    ResponseQueuedEvent,
+    ResponseReasoningItem,
+    ResponseReasoningSummaryPartAddedEvent,
+    ResponseReasoningSummaryPartDoneEvent,
+    ResponseReasoningSummaryTextDeltaEvent,
+    ResponseReasoningSummaryTextDoneEvent,
+    ResponseReasoningTextDeltaEvent,
+    ResponseReasoningTextDoneEvent,
+    ResponseRefusalDeltaEvent,
+    ResponseRefusalDoneEvent,
+    ResponseStatus,
+    ResponseStreamEvent,
+    ResponseTextConfig,
+    ResponseTextDeltaEvent,
+    ResponseTextDoneEvent,
+    ResponseToolSearchCall,
+    ResponseToolSearchOutputItem,
+    ResponseToolSearchOutputItemParam,
+    ResponseUsage,
+    ResponseWebSearchCallCompletedEvent,
+    ResponseWebSearchCallInProgressEvent,
+    ResponseWebSearchCallSearchingEvent,
+    ResponsesClientEvent,
+    ResponsesServerEvent,
+    SkillReference,
+    Tool,
+    ToolChoiceAllowed,
+    ToolChoiceApplyPatch,
+    ToolChoiceCustom,
+    ToolChoiceFunction,
+    ToolChoiceMcp,
+    ToolChoiceOptions,
+    ToolChoiceShell,
+    ToolChoiceTypes,
+    ToolSearchTool,
+    WebSearchPreviewTool,
+    WebSearchTool,
+)
+```
+
+Methods:
+
+- <code title="post /responses">client.responses.<a href="./src/openai/resources/responses/responses.py">create</a>(\*\*<a href="src/openai/types/responses/response_create_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
+- <code title="get /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">retrieve</a>(response_id, \*\*<a href="src/openai/types/responses/response_retrieve_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
+- <code title="delete /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">delete</a>(response_id) -> None</code>
+- <code title="post /responses/{response_id}/cancel">client.responses.<a href="./src/openai/resources/responses/responses.py">cancel</a>(response_id) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
+- <code title="post /responses/compact">client.responses.<a href="./src/openai/resources/responses/responses.py">compact</a>(\*\*<a href="src/openai/types/responses/response_compact_params.py">params</a>) -> <a href="./src/openai/types/responses/compacted_response.py">CompactedResponse</a></code>
+
+## InputItems
+
+Types:
+
+```python
+from openai.types.responses import ResponseItemList
+```
+
+Methods:
+
+- <code title="get /responses/{response_id}/input_items">client.responses.input_items.<a href="./src/openai/resources/responses/input_items.py">list</a>(response_id, \*\*<a href="src/openai/types/responses/input_item_list_params.py">params</a>) -> <a href="./src/openai/types/responses/response_item.py">SyncCursorPage[ResponseItem]</a></code>
+
+## InputTokens
+
+Types:
+
+```python
+from openai.types.responses import InputTokenCountResponse
+```
+
+Methods:
+
+- <code title="post /responses/input_tokens">client.responses.input_tokens.<a href="./src/openai/resources/responses/input_tokens.py">count</a>(\*\*<a href="src/openai/types/responses/input_token_count_params.py">params</a>) -> <a href="./src/openai/types/responses/input_token_count_response.py">InputTokenCountResponse</a></code>
diff --git a/portkey_ai/_vendor/openai/resources/responses/input_items.py b/portkey_ai/_vendor/openai/resources/responses/input_items.py
index 3311bfe1..b9ae5eee 100644
--- a/portkey_ai/_vendor/openai/resources/responses/input_items.py
+++ b/portkey_ai/_vendor/openai/resources/responses/input_items.py
@@ -9,7 +9,7 @@
 
 from ... import _legacy_response
 from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
-from ..._utils import maybe_transform
+from ..._utils import path_template, maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -85,7 +85,7 @@ def list(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return self._get_api_list(
-            f"/responses/{response_id}/input_items",
+            path_template("/responses/{response_id}/input_items", response_id=response_id),
             page=SyncCursorPage[ResponseItem],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -169,7 +169,7 @@ def list(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return self._get_api_list(
-            f"/responses/{response_id}/input_items",
+            path_template("/responses/{response_id}/input_items", response_id=response_id),
             page=AsyncCursorPage[ResponseItem],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/responses/input_tokens.py b/portkey_ai/_vendor/openai/resources/responses/input_tokens.py
index 86641646..0056727f 100644
--- a/portkey_ai/_vendor/openai/resources/responses/input_tokens.py
+++ b/portkey_ai/_vendor/openai/resources/responses/input_tokens.py
@@ -65,7 +65,10 @@ def count(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> InputTokenCountResponse:
         """
-        Get input token counts
+        Returns input token counts of the request.
+
+        Returns an object with `object` set to `response.input_tokens` and an
+        `input_tokens` count.
 
         Args:
           conversation: The conversation that this response belongs to. Items from this conversation are
@@ -188,7 +191,10 @@ async def count(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> InputTokenCountResponse:
         """
-        Get input token counts
+        Returns input token counts of the request.
+
+        Returns an object with `object` set to `response.input_tokens` and an
+        `input_tokens` count.
 
         Args:
           conversation: The conversation that this response belongs to. Items from this conversation are
diff --git a/portkey_ai/_vendor/openai/resources/responses/responses.py b/portkey_ai/_vendor/openai/resources/responses/responses.py
index 8e80f679..63795f95 100644
--- a/portkey_ai/_vendor/openai/resources/responses/responses.py
+++ b/portkey_ai/_vendor/openai/resources/responses/responses.py
@@ -2,17 +2,22 @@
 
 from __future__ import annotations
 
+import json
+import logging
 from copy import copy
-from typing import Any, List, Type, Union, Iterable, Optional, cast
+from types import TracebackType
+from typing import TYPE_CHECKING, Any, List, Type, Union, Iterable, Iterator, Optional, AsyncIterator, cast
 from functools import partial
 from typing_extensions import Literal, overload
 
 import httpx
+from pydantic import BaseModel
 
 from ... import _legacy_response
 from ..._types import NOT_GIVEN, Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given
-from ..._utils import is_given, maybe_transform, async_maybe_transform
+from ..._utils import is_given, path_template, maybe_transform, strip_not_given, async_maybe_transform
 from ..._compat import cached_property
+from ..._models import construct_type_unchecked
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
 from .input_items import (
@@ -33,11 +38,13 @@
     InputTokensWithStreamingResponse,
     AsyncInputTokensWithStreamingResponse,
 )
-from ..._base_client import make_request_options
+from ..._exceptions import OpenAIError
+from ..._base_client import _merge_mappings, make_request_options
 from ...types.responses import (
     response_create_params,
     response_compact_params,
     response_retrieve_params,
+    responses_client_event_param,
 )
 from ...lib._parsing._responses import (
     TextFormatT,
@@ -51,16 +58,28 @@
 from ...types.responses.parsed_response import ParsedResponse
 from ...lib.streaming.responses._responses import ResponseStreamManager, AsyncResponseStreamManager
 from ...types.responses.compacted_response import CompactedResponse
+from ...types.websocket_connection_options import WebSocketConnectionOptions
 from ...types.responses.response_includable import ResponseIncludable
 from ...types.shared_params.responses_model import ResponsesModel
 from ...types.responses.response_input_param import ResponseInputParam
 from ...types.responses.response_prompt_param import ResponsePromptParam
 from ...types.responses.response_stream_event import ResponseStreamEvent
+from ...types.responses.responses_client_event import ResponsesClientEvent
+from ...types.responses.responses_server_event import ResponsesServerEvent
 from ...types.responses.response_input_item_param import ResponseInputItemParam
 from ...types.responses.response_text_config_param import ResponseTextConfigParam
+from ...types.responses.responses_client_event_param import ResponsesClientEventParam
+
+if TYPE_CHECKING:
+    from websockets.sync.client import ClientConnection as WebSocketConnection
+    from websockets.asyncio.client import ClientConnection as AsyncWebSocketConnection
+
+    from ..._client import OpenAI, AsyncOpenAI
 
 __all__ = ["Responses", "AsyncResponses"]
 
+log: logging.Logger = logging.getLogger(__name__)
+
 
 class Responses(SyncAPIResource):
     @cached_property
@@ -95,6 +114,7 @@ def create(
         self,
         *,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -147,6 +167,8 @@ def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -235,8 +257,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -341,6 +364,7 @@ def create(
         *,
         stream: Literal[True],
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -399,6 +423,8 @@ def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -487,8 +513,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -586,6 +613,7 @@ def create(
         *,
         stream: bool,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -644,6 +672,8 @@ def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -732,8 +762,9 @@ def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -829,6 +860,7 @@ def create(
         self,
         *,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -868,6 +900,7 @@ def create(
             body=maybe_transform(
                 {
                     "background": background,
+                    "context_management": context_management,
                     "conversation": conversation,
                     "include": include,
                     "input": input,
@@ -930,6 +963,7 @@ def stream(
         input: Union[str, ResponseInputParam],
         model: ResponsesModel,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         text_format: type[TextFormatT] | Omit = omit,
         tools: Iterable[ParseableToolParam] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
@@ -970,6 +1004,7 @@ def stream(
         input: Union[str, ResponseInputParam] | Omit = omit,
         model: ResponsesModel | Omit = omit,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         text_format: type[TextFormatT] | Omit = omit,
         tools: Iterable[ParseableToolParam] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
@@ -1006,6 +1041,7 @@ def stream(
         new_response_args = {
             "input": input,
             "model": model,
+            "context_management": context_management,
             "conversation": conversation,
             "include": include,
             "instructions": instructions,
@@ -1061,6 +1097,7 @@ def stream(
                 input=input,
                 model=model,
                 tools=tools,
+                context_management=context_management,
                 conversation=conversation,
                 include=include,
                 instructions=instructions,
@@ -1118,6 +1155,7 @@ def parse(
         *,
         text_format: type[TextFormatT] | Omit = omit,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -1176,6 +1214,7 @@ def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
             body=maybe_transform(
                 {
                     "background": background,
+                    "context_management": context_management,
                     "conversation": conversation,
                     "include": include,
                     "input": input,
@@ -1432,7 +1471,7 @@ def retrieve(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return self._get(
-            f"/responses/{response_id}",
+            path_template("/responses/{response_id}", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -1480,7 +1519,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return self._delete(
-            f"/responses/{response_id}",
+            path_template("/responses/{response_id}", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1516,7 +1555,7 @@ def cancel(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return self._post(
-            f"/responses/{response_id}/cancel",
+            path_template("/responses/{response_id}/cancel", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -1528,6 +1567,12 @@ def compact(
         *,
         model: Union[
             Literal[
+                "gpt-5.4",
+                "gpt-5.4-mini",
+                "gpt-5.4-nano",
+                "gpt-5.4-mini-2026-03-17",
+                "gpt-5.4-nano-2026-03-17",
+                "gpt-5.3-chat-latest",
                 "gpt-5.2",
                 "gpt-5.2-2025-12-11",
                 "gpt-5.2-chat-latest",
@@ -1621,6 +1666,7 @@ def compact(
         input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
         instructions: Optional[str] | Omit = omit,
         previous_response_id: Optional[str] | Omit = omit,
+        prompt_cache_key: Optional[str] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1628,8 +1674,14 @@ def compact(
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> CompactedResponse:
-        """
-        Compact conversation
+        """Compact a conversation.
+
+        Returns a compacted response object.
+
+        Learn when and how to compact long-running conversations in the
+        [conversation state guide](https://platform.openai.com/docs/guides/conversation-state#managing-the-context-window).
+        For ZDR-compatible compaction details, see
+        [Compaction (advanced)](https://platform.openai.com/docs/guides/conversation-state#compaction-advanced).
 
         Args:
           model: Model ID used to generate the response, like `gpt-5` or `o3`. OpenAI offers a
@@ -1650,6 +1702,8 @@ def compact(
               [conversation state](https://platform.openai.com/docs/guides/conversation-state).
               Cannot be used in conjunction with `conversation`.
 
+          prompt_cache_key: A key to use when reading from or writing to the prompt cache.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -1666,6 +1720,7 @@ def compact(
                     "input": input,
                     "instructions": instructions,
                     "previous_response_id": previous_response_id,
+                    "prompt_cache_key": prompt_cache_key,
                 },
                 response_compact_params.ResponseCompactParams,
             ),
@@ -1675,6 +1730,23 @@ def compact(
             cast_to=CompactedResponse,
         )
 
+    def connect(
+        self,
+        extra_query: Query = {},
+        extra_headers: Headers = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
+    ) -> ResponsesConnectionManager:
+        """Connect to a persistent Responses API WebSocket.
+
+        Send `response.create` events and receive response stream events over the socket.
+        """
+        return ResponsesConnectionManager(
+            client=self._client,
+            extra_query=extra_query,
+            extra_headers=extra_headers,
+            websocket_connection_options=websocket_connection_options,
+        )
+
 
 class AsyncResponses(AsyncAPIResource):
     @cached_property
@@ -1709,6 +1781,7 @@ async def create(
         self,
         *,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -1761,6 +1834,8 @@ async def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -1849,8 +1924,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -1955,6 +2031,7 @@ async def create(
         *,
         stream: Literal[True],
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -2013,6 +2090,8 @@ async def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -2101,8 +2180,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -2200,6 +2280,7 @@ async def create(
         *,
         stream: bool,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -2258,6 +2339,8 @@ async def create(
           background: Whether to run the model response in the background.
               [Learn more](https://platform.openai.com/docs/guides/background).
 
+          context_management: Context management configuration for this request.
+
           conversation: The conversation that this response belongs to. Items from this conversation are
               prepended to `input_items` for this response request. Input items and output
               items from this response are automatically added to this conversation after this
@@ -2346,8 +2429,9 @@ async def create(
 
           safety_identifier: A stable identifier used to help detect users of your application that may be
               violating OpenAI's usage policies. The IDs should be a string that uniquely
-              identifies each user. We recommend hashing their username or email address, in
-              order to avoid sending us any identifying information.
+              identifies each user, with a maximum length of 64 characters. We recommend
+              hashing their username or email address, in order to avoid sending us any
+              identifying information.
               [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
 
           service_tier: Specifies the processing type used for serving the request.
@@ -2443,6 +2527,7 @@ async def create(
         self,
         *,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -2482,6 +2567,7 @@ async def create(
             body=await async_maybe_transform(
                 {
                     "background": background,
+                    "context_management": context_management,
                     "conversation": conversation,
                     "include": include,
                     "input": input,
@@ -2544,6 +2630,7 @@ def stream(
         input: Union[str, ResponseInputParam],
         model: ResponsesModel,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         text_format: type[TextFormatT] | Omit = omit,
         tools: Iterable[ParseableToolParam] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
@@ -2584,6 +2671,7 @@ def stream(
         input: Union[str, ResponseInputParam] | Omit = omit,
         model: ResponsesModel | Omit = omit,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         text_format: type[TextFormatT] | Omit = omit,
         tools: Iterable[ParseableToolParam] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
@@ -2620,6 +2708,7 @@ def stream(
         new_response_args = {
             "input": input,
             "model": model,
+            "context_management": context_management,
             "conversation": conversation,
             "include": include,
             "instructions": instructions,
@@ -2675,6 +2764,7 @@ def stream(
                 model=model,
                 stream=True,
                 tools=tools,
+                context_management=context_management,
                 conversation=conversation,
                 include=include,
                 instructions=instructions,
@@ -2736,6 +2826,7 @@ async def parse(
         *,
         text_format: type[TextFormatT] | Omit = omit,
         background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[response_create_params.ContextManagement]] | Omit = omit,
         conversation: Optional[response_create_params.Conversation] | Omit = omit,
         include: Optional[List[ResponseIncludable]] | Omit = omit,
         input: Union[str, ResponseInputParam] | Omit = omit,
@@ -2794,6 +2885,7 @@ def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
             body=maybe_transform(
                 {
                     "background": background,
+                    "context_management": context_management,
                     "conversation": conversation,
                     "include": include,
                     "input": input,
@@ -3050,7 +3142,7 @@ async def retrieve(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return await self._get(
-            f"/responses/{response_id}",
+            path_template("/responses/{response_id}", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -3098,7 +3190,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         extra_headers = {"Accept": "*/*", **(extra_headers or {})}
         return await self._delete(
-            f"/responses/{response_id}",
+            path_template("/responses/{response_id}", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -3134,7 +3226,7 @@ async def cancel(
         if not response_id:
             raise ValueError(f"Expected a non-empty value for `response_id` but received {response_id!r}")
         return await self._post(
-            f"/responses/{response_id}/cancel",
+            path_template("/responses/{response_id}/cancel", response_id=response_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -3146,6 +3238,12 @@ async def compact(
         *,
         model: Union[
             Literal[
+                "gpt-5.4",
+                "gpt-5.4-mini",
+                "gpt-5.4-nano",
+                "gpt-5.4-mini-2026-03-17",
+                "gpt-5.4-nano-2026-03-17",
+                "gpt-5.3-chat-latest",
                 "gpt-5.2",
                 "gpt-5.2-2025-12-11",
                 "gpt-5.2-chat-latest",
@@ -3239,6 +3337,7 @@ async def compact(
         input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
         instructions: Optional[str] | Omit = omit,
         previous_response_id: Optional[str] | Omit = omit,
+        prompt_cache_key: Optional[str] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -3246,8 +3345,14 @@ async def compact(
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> CompactedResponse:
-        """
-        Compact conversation
+        """Compact a conversation.
+
+        Returns a compacted response object.
+
+        Learn when and how to compact long-running conversations in the
+        [conversation state guide](https://platform.openai.com/docs/guides/conversation-state#managing-the-context-window).
+        For ZDR-compatible compaction details, see
+        [Compaction (advanced)](https://platform.openai.com/docs/guides/conversation-state#compaction-advanced).
 
         Args:
           model: Model ID used to generate the response, like `gpt-5` or `o3`. OpenAI offers a
@@ -3268,6 +3373,8 @@ async def compact(
               [conversation state](https://platform.openai.com/docs/guides/conversation-state).
               Cannot be used in conjunction with `conversation`.
 
+          prompt_cache_key: A key to use when reading from or writing to the prompt cache.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -3284,6 +3391,7 @@ async def compact(
                     "input": input,
                     "instructions": instructions,
                     "previous_response_id": previous_response_id,
+                    "prompt_cache_key": prompt_cache_key,
                 },
                 response_compact_params.ResponseCompactParams,
             ),
@@ -3293,6 +3401,23 @@ async def compact(
             cast_to=CompactedResponse,
         )
 
+    def connect(
+        self,
+        extra_query: Query = {},
+        extra_headers: Headers = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
+    ) -> AsyncResponsesConnectionManager:
+        """Connect to a persistent Responses API WebSocket.
+
+        Send `response.create` events and receive response stream events over the socket.
+        """
+        return AsyncResponsesConnectionManager(
+            client=self._client,
+            extra_query=extra_query,
+            extra_headers=extra_headers,
+            websocket_connection_options=websocket_connection_options,
+        )
+
 
 class ResponsesWithRawResponse:
     def __init__(self, responses: Responses) -> None:
@@ -3452,3 +3577,495 @@ def _make_tools(tools: Iterable[ParseableToolParam] | Omit) -> List[ToolParam] |
         converted_tools.append(new_tool.cast())
 
     return converted_tools
+
+
+class AsyncResponsesConnection:
+    """Represents a live WebSocket connection to the Responses API"""
+
+    response: AsyncResponsesResponseResource
+
+    _connection: AsyncWebSocketConnection
+
+    def __init__(self, connection: AsyncWebSocketConnection) -> None:
+        self._connection = connection
+
+        self.response = AsyncResponsesResponseResource(self)
+
+    async def __aiter__(self) -> AsyncIterator[ResponsesServerEvent]:
+        """
+        An infinite-iterator that will continue to yield events until
+        the connection is closed.
+        """
+        from websockets.exceptions import ConnectionClosedOK
+
+        try:
+            while True:
+                yield await self.recv()
+        except ConnectionClosedOK:
+            return
+
+    async def recv(self) -> ResponsesServerEvent:
+        """
+        Receive the next message from the connection and parses it into a `ResponsesServerEvent` object.
+
+        Canceling this method is safe. There's no risk of losing data.
+        """
+        return self.parse_event(await self.recv_bytes())
+
+    async def recv_bytes(self) -> bytes:
+        """Receive the next message from the connection as raw bytes.
+
+        Canceling this method is safe. There's no risk of losing data.
+
+        If you want to parse the message into a `ResponsesServerEvent` object like `.recv()` does,
+        then you can call `.parse_event(data)`.
+        """
+        message = await self._connection.recv(decode=False)
+        log.debug(f"Received WebSocket message: %s", message)
+        return message
+
+    async def send(self, event: ResponsesClientEvent | ResponsesClientEventParam) -> None:
+        data = (
+            event.to_json(use_api_names=True, exclude_defaults=True, exclude_unset=True)
+            if isinstance(event, BaseModel)
+            else json.dumps(await async_maybe_transform(event, ResponsesClientEventParam))
+        )
+        await self._connection.send(data)
+
+    async def close(self, *, code: int = 1000, reason: str = "") -> None:
+        await self._connection.close(code=code, reason=reason)
+
+    def parse_event(self, data: str | bytes) -> ResponsesServerEvent:
+        """
+        Converts a raw `str` or `bytes` message into a `ResponsesServerEvent` object.
+
+        This is helpful if you're using `.recv_bytes()`.
+        """
+        return cast(
+            ResponsesServerEvent,
+            construct_type_unchecked(value=json.loads(data), type_=cast(Any, ResponsesServerEvent)),
+        )
+
+
+class AsyncResponsesConnectionManager:
+    """
+    Context manager over a `AsyncResponsesConnection` that is returned by `responses.connect()`
+
+    This context manager ensures that the connection will be closed when it exits.
+
+    ---
+
+    Note that if your application doesn't work well with the context manager approach then you
+    can call the `.enter()` method directly to initiate a connection.
+
+    **Warning**: You must remember to close the connection with `.close()`.
+
+    ```py
+    connection = await client.responses.connect(...).enter()
+    # ...
+    await connection.close()
+    ```
+    """
+
+    def __init__(
+        self,
+        *,
+        client: AsyncOpenAI,
+        extra_query: Query,
+        extra_headers: Headers,
+        websocket_connection_options: WebSocketConnectionOptions,
+    ) -> None:
+        self.__client = client
+        self.__connection: AsyncResponsesConnection | None = None
+        self.__extra_query = extra_query
+        self.__extra_headers = extra_headers
+        self.__websocket_connection_options = websocket_connection_options
+
+    async def __aenter__(self) -> AsyncResponsesConnection:
+        """
+        👋 If your application doesn't work well with the context manager approach then you
+        can call this method directly to initiate a connection.
+
+        **Warning**: You must remember to close the connection with `.close()`.
+
+        ```py
+        connection = await client.responses.connect(...).enter()
+        # ...
+        await connection.close()
+        ```
+        """
+        try:
+            from websockets.asyncio.client import connect
+        except ImportError as exc:
+            raise OpenAIError("You need to install `openai[realtime]` to use this method") from exc
+
+        url = self._prepare_url().copy_with(
+            params={
+                **self.__client.base_url.params,
+                **self.__extra_query,
+            },
+        )
+        log.debug("Connecting to %s", url)
+        if self.__websocket_connection_options:
+            log.debug("Connection options: %s", self.__websocket_connection_options)
+
+        self.__connection = AsyncResponsesConnection(
+            await connect(
+                str(url),
+                user_agent_header=self.__client.user_agent,
+                additional_headers=_merge_mappings(
+                    {
+                        **self.__client.auth_headers,
+                    },
+                    self.__extra_headers,
+                ),
+                **self.__websocket_connection_options,
+            )
+        )
+
+        return self.__connection
+
+    enter = __aenter__
+
+    def _prepare_url(self) -> httpx.URL:
+        if self.__client.websocket_base_url is not None:
+            base_url = httpx.URL(self.__client.websocket_base_url)
+        else:
+            scheme = self.__client._base_url.scheme
+            ws_scheme = "ws" if scheme == "http" else "wss"
+            base_url = self.__client._base_url.copy_with(scheme=ws_scheme)
+
+        merge_raw_path = base_url.raw_path.rstrip(b"/") + b"/responses"
+        return base_url.copy_with(raw_path=merge_raw_path)
+
+    async def __aexit__(
+        self, exc_type: type[BaseException] | None, exc: BaseException | None, exc_tb: TracebackType | None
+    ) -> None:
+        if self.__connection is not None:
+            await self.__connection.close()
+
+
+class ResponsesConnection:
+    """Represents a live WebSocket connection to the Responses API"""
+
+    response: ResponsesResponseResource
+
+    _connection: WebSocketConnection
+
+    def __init__(self, connection: WebSocketConnection) -> None:
+        self._connection = connection
+
+        self.response = ResponsesResponseResource(self)
+
+    def __iter__(self) -> Iterator[ResponsesServerEvent]:
+        """
+        An infinite-iterator that will continue to yield events until
+        the connection is closed.
+        """
+        from websockets.exceptions import ConnectionClosedOK
+
+        try:
+            while True:
+                yield self.recv()
+        except ConnectionClosedOK:
+            return
+
+    def recv(self) -> ResponsesServerEvent:
+        """
+        Receive the next message from the connection and parses it into a `ResponsesServerEvent` object.
+
+        Canceling this method is safe. There's no risk of losing data.
+        """
+        return self.parse_event(self.recv_bytes())
+
+    def recv_bytes(self) -> bytes:
+        """Receive the next message from the connection as raw bytes.
+
+        Canceling this method is safe. There's no risk of losing data.
+
+        If you want to parse the message into a `ResponsesServerEvent` object like `.recv()` does,
+        then you can call `.parse_event(data)`.
+        """
+        message = self._connection.recv(decode=False)
+        log.debug(f"Received WebSocket message: %s", message)
+        return message
+
+    def send(self, event: ResponsesClientEvent | ResponsesClientEventParam) -> None:
+        data = (
+            event.to_json(use_api_names=True, exclude_defaults=True, exclude_unset=True)
+            if isinstance(event, BaseModel)
+            else json.dumps(maybe_transform(event, ResponsesClientEventParam))
+        )
+        self._connection.send(data)
+
+    def close(self, *, code: int = 1000, reason: str = "") -> None:
+        self._connection.close(code=code, reason=reason)
+
+    def parse_event(self, data: str | bytes) -> ResponsesServerEvent:
+        """
+        Converts a raw `str` or `bytes` message into a `ResponsesServerEvent` object.
+
+        This is helpful if you're using `.recv_bytes()`.
+        """
+        return cast(
+            ResponsesServerEvent,
+            construct_type_unchecked(value=json.loads(data), type_=cast(Any, ResponsesServerEvent)),
+        )
+
+
+class ResponsesConnectionManager:
+    """
+    Context manager over a `ResponsesConnection` that is returned by `responses.connect()`
+
+    This context manager ensures that the connection will be closed when it exits.
+
+    ---
+
+    Note that if your application doesn't work well with the context manager approach then you
+    can call the `.enter()` method directly to initiate a connection.
+
+    **Warning**: You must remember to close the connection with `.close()`.
+
+    ```py
+    connection = client.responses.connect(...).enter()
+    # ...
+    connection.close()
+    ```
+    """
+
+    def __init__(
+        self,
+        *,
+        client: OpenAI,
+        extra_query: Query,
+        extra_headers: Headers,
+        websocket_connection_options: WebSocketConnectionOptions,
+    ) -> None:
+        self.__client = client
+        self.__connection: ResponsesConnection | None = None
+        self.__extra_query = extra_query
+        self.__extra_headers = extra_headers
+        self.__websocket_connection_options = websocket_connection_options
+
+    def __enter__(self) -> ResponsesConnection:
+        """
+        👋 If your application doesn't work well with the context manager approach then you
+        can call this method directly to initiate a connection.
+
+        **Warning**: You must remember to close the connection with `.close()`.
+
+        ```py
+        connection = client.responses.connect(...).enter()
+        # ...
+        connection.close()
+        ```
+        """
+        try:
+            from websockets.sync.client import connect
+        except ImportError as exc:
+            raise OpenAIError("You need to install `openai[realtime]` to use this method") from exc
+
+        url = self._prepare_url().copy_with(
+            params={
+                **self.__client.base_url.params,
+                **self.__extra_query,
+            },
+        )
+        log.debug("Connecting to %s", url)
+        if self.__websocket_connection_options:
+            log.debug("Connection options: %s", self.__websocket_connection_options)
+
+        self.__connection = ResponsesConnection(
+            connect(
+                str(url),
+                user_agent_header=self.__client.user_agent,
+                additional_headers=_merge_mappings(
+                    {
+                        **self.__client.auth_headers,
+                    },
+                    self.__extra_headers,
+                ),
+                **self.__websocket_connection_options,
+            )
+        )
+
+        return self.__connection
+
+    enter = __enter__
+
+    def _prepare_url(self) -> httpx.URL:
+        if self.__client.websocket_base_url is not None:
+            base_url = httpx.URL(self.__client.websocket_base_url)
+        else:
+            scheme = self.__client._base_url.scheme
+            ws_scheme = "ws" if scheme == "http" else "wss"
+            base_url = self.__client._base_url.copy_with(scheme=ws_scheme)
+
+        merge_raw_path = base_url.raw_path.rstrip(b"/") + b"/responses"
+        return base_url.copy_with(raw_path=merge_raw_path)
+
+    def __exit__(
+        self, exc_type: type[BaseException] | None, exc: BaseException | None, exc_tb: TracebackType | None
+    ) -> None:
+        if self.__connection is not None:
+            self.__connection.close()
+
+
+class BaseResponsesConnectionResource:
+    def __init__(self, connection: ResponsesConnection) -> None:
+        self._connection = connection
+
+
+class ResponsesResponseResource(BaseResponsesConnectionResource):
+    def create(
+        self,
+        *,
+        background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[responses_client_event_param.ContextManagement]] | Omit = omit,
+        conversation: Optional[responses_client_event_param.Conversation] | Omit = omit,
+        include: Optional[List[ResponseIncludable]] | Omit = omit,
+        input: Union[str, ResponseInputParam] | Omit = omit,
+        instructions: Optional[str] | Omit = omit,
+        max_output_tokens: Optional[int] | Omit = omit,
+        max_tool_calls: Optional[int] | Omit = omit,
+        metadata: Optional[Metadata] | Omit = omit,
+        model: ResponsesModel | Omit = omit,
+        parallel_tool_calls: Optional[bool] | Omit = omit,
+        previous_response_id: Optional[str] | Omit = omit,
+        prompt: Optional[ResponsePromptParam] | Omit = omit,
+        prompt_cache_key: str | Omit = omit,
+        prompt_cache_retention: Optional[Literal["in-memory", "24h"]] | Omit = omit,
+        reasoning: Optional[Reasoning] | Omit = omit,
+        safety_identifier: str | Omit = omit,
+        service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] | Omit = omit,
+        store: Optional[bool] | Omit = omit,
+        stream: Optional[bool] | Omit = omit,
+        stream_options: Optional[responses_client_event_param.StreamOptions] | Omit = omit,
+        temperature: Optional[float] | Omit = omit,
+        text: ResponseTextConfigParam | Omit = omit,
+        tool_choice: responses_client_event_param.ToolChoice | Omit = omit,
+        tools: Iterable[ToolParam] | Omit = omit,
+        top_logprobs: Optional[int] | Omit = omit,
+        top_p: Optional[float] | Omit = omit,
+        truncation: Optional[Literal["auto", "disabled"]] | Omit = omit,
+        user: str | Omit = omit,
+    ) -> None:
+        self._connection.send(
+            cast(
+                ResponsesClientEventParam,
+                strip_not_given(
+                    {
+                        "type": "response.create",
+                        "background": background,
+                        "context_management": context_management,
+                        "conversation": conversation,
+                        "include": include,
+                        "input": input,
+                        "instructions": instructions,
+                        "max_output_tokens": max_output_tokens,
+                        "max_tool_calls": max_tool_calls,
+                        "metadata": metadata,
+                        "model": model,
+                        "parallel_tool_calls": parallel_tool_calls,
+                        "previous_response_id": previous_response_id,
+                        "prompt": prompt,
+                        "prompt_cache_key": prompt_cache_key,
+                        "prompt_cache_retention": prompt_cache_retention,
+                        "reasoning": reasoning,
+                        "safety_identifier": safety_identifier,
+                        "service_tier": service_tier,
+                        "store": store,
+                        "stream": stream,
+                        "stream_options": stream_options,
+                        "temperature": temperature,
+                        "text": text,
+                        "tool_choice": tool_choice,
+                        "tools": tools,
+                        "top_logprobs": top_logprobs,
+                        "top_p": top_p,
+                        "truncation": truncation,
+                        "user": user,
+                    }
+                ),
+            )
+        )
+
+
+class BaseAsyncResponsesConnectionResource:
+    def __init__(self, connection: AsyncResponsesConnection) -> None:
+        self._connection = connection
+
+
+class AsyncResponsesResponseResource(BaseAsyncResponsesConnectionResource):
+    async def create(
+        self,
+        *,
+        background: Optional[bool] | Omit = omit,
+        context_management: Optional[Iterable[responses_client_event_param.ContextManagement]] | Omit = omit,
+        conversation: Optional[responses_client_event_param.Conversation] | Omit = omit,
+        include: Optional[List[ResponseIncludable]] | Omit = omit,
+        input: Union[str, ResponseInputParam] | Omit = omit,
+        instructions: Optional[str] | Omit = omit,
+        max_output_tokens: Optional[int] | Omit = omit,
+        max_tool_calls: Optional[int] | Omit = omit,
+        metadata: Optional[Metadata] | Omit = omit,
+        model: ResponsesModel | Omit = omit,
+        parallel_tool_calls: Optional[bool] | Omit = omit,
+        previous_response_id: Optional[str] | Omit = omit,
+        prompt: Optional[ResponsePromptParam] | Omit = omit,
+        prompt_cache_key: str | Omit = omit,
+        prompt_cache_retention: Optional[Literal["in-memory", "24h"]] | Omit = omit,
+        reasoning: Optional[Reasoning] | Omit = omit,
+        safety_identifier: str | Omit = omit,
+        service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] | Omit = omit,
+        store: Optional[bool] | Omit = omit,
+        stream: Optional[bool] | Omit = omit,
+        stream_options: Optional[responses_client_event_param.StreamOptions] | Omit = omit,
+        temperature: Optional[float] | Omit = omit,
+        text: ResponseTextConfigParam | Omit = omit,
+        tool_choice: responses_client_event_param.ToolChoice | Omit = omit,
+        tools: Iterable[ToolParam] | Omit = omit,
+        top_logprobs: Optional[int] | Omit = omit,
+        top_p: Optional[float] | Omit = omit,
+        truncation: Optional[Literal["auto", "disabled"]] | Omit = omit,
+        user: str | Omit = omit,
+    ) -> None:
+        await self._connection.send(
+            cast(
+                ResponsesClientEventParam,
+                strip_not_given(
+                    {
+                        "type": "response.create",
+                        "background": background,
+                        "context_management": context_management,
+                        "conversation": conversation,
+                        "include": include,
+                        "input": input,
+                        "instructions": instructions,
+                        "max_output_tokens": max_output_tokens,
+                        "max_tool_calls": max_tool_calls,
+                        "metadata": metadata,
+                        "model": model,
+                        "parallel_tool_calls": parallel_tool_calls,
+                        "previous_response_id": previous_response_id,
+                        "prompt": prompt,
+                        "prompt_cache_key": prompt_cache_key,
+                        "prompt_cache_retention": prompt_cache_retention,
+                        "reasoning": reasoning,
+                        "safety_identifier": safety_identifier,
+                        "service_tier": service_tier,
+                        "store": store,
+                        "stream": stream,
+                        "stream_options": stream_options,
+                        "temperature": temperature,
+                        "text": text,
+                        "tool_choice": tool_choice,
+                        "tools": tools,
+                        "top_logprobs": top_logprobs,
+                        "top_p": top_p,
+                        "truncation": truncation,
+                        "user": user,
+                    }
+                ),
+            )
+        )
diff --git a/portkey_ai/_vendor/openai/resources/skills/__init__.py b/portkey_ai/_vendor/openai/resources/skills/__init__.py
new file mode 100644
index 00000000..07f4d672
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/__init__.py
@@ -0,0 +1,47 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from .skills import (
+    Skills,
+    AsyncSkills,
+    SkillsWithRawResponse,
+    AsyncSkillsWithRawResponse,
+    SkillsWithStreamingResponse,
+    AsyncSkillsWithStreamingResponse,
+)
+from .content import (
+    Content,
+    AsyncContent,
+    ContentWithRawResponse,
+    AsyncContentWithRawResponse,
+    ContentWithStreamingResponse,
+    AsyncContentWithStreamingResponse,
+)
+from .versions import (
+    Versions,
+    AsyncVersions,
+    VersionsWithRawResponse,
+    AsyncVersionsWithRawResponse,
+    VersionsWithStreamingResponse,
+    AsyncVersionsWithStreamingResponse,
+)
+
+__all__ = [
+    "Content",
+    "AsyncContent",
+    "ContentWithRawResponse",
+    "AsyncContentWithRawResponse",
+    "ContentWithStreamingResponse",
+    "AsyncContentWithStreamingResponse",
+    "Versions",
+    "AsyncVersions",
+    "VersionsWithRawResponse",
+    "AsyncVersionsWithRawResponse",
+    "VersionsWithStreamingResponse",
+    "AsyncVersionsWithStreamingResponse",
+    "Skills",
+    "AsyncSkills",
+    "SkillsWithRawResponse",
+    "AsyncSkillsWithRawResponse",
+    "SkillsWithStreamingResponse",
+    "AsyncSkillsWithStreamingResponse",
+]
diff --git a/portkey_ai/_vendor/openai/resources/skills/content.py b/portkey_ai/_vendor/openai/resources/skills/content.py
new file mode 100644
index 00000000..96b23717
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/content.py
@@ -0,0 +1,168 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+import httpx
+
+from ... import _legacy_response
+from ..._types import Body, Query, Headers, NotGiven, not_given
+from ..._utils import path_template
+from ..._compat import cached_property
+from ..._resource import SyncAPIResource, AsyncAPIResource
+from ..._response import (
+    StreamedBinaryAPIResponse,
+    AsyncStreamedBinaryAPIResponse,
+    to_custom_streamed_response_wrapper,
+    async_to_custom_streamed_response_wrapper,
+)
+from ..._base_client import make_request_options
+
+__all__ = ["Content", "AsyncContent"]
+
+
+class Content(SyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> ContentWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return ContentWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> ContentWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return ContentWithStreamingResponse(self)
+
+    def retrieve(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> _legacy_response.HttpxBinaryResponseContent:
+        """
+        Download a skill zip bundle by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
+        return self._get(
+            path_template("/skills/{skill_id}/content", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=_legacy_response.HttpxBinaryResponseContent,
+        )
+
+
+class AsyncContent(AsyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> AsyncContentWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncContentWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncContentWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return AsyncContentWithStreamingResponse(self)
+
+    async def retrieve(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> _legacy_response.HttpxBinaryResponseContent:
+        """
+        Download a skill zip bundle by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
+        return await self._get(
+            path_template("/skills/{skill_id}/content", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=_legacy_response.HttpxBinaryResponseContent,
+        )
+
+
+class ContentWithRawResponse:
+    def __init__(self, content: Content) -> None:
+        self._content = content
+
+        self.retrieve = _legacy_response.to_raw_response_wrapper(
+            content.retrieve,
+        )
+
+
+class AsyncContentWithRawResponse:
+    def __init__(self, content: AsyncContent) -> None:
+        self._content = content
+
+        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
+            content.retrieve,
+        )
+
+
+class ContentWithStreamingResponse:
+    def __init__(self, content: Content) -> None:
+        self._content = content
+
+        self.retrieve = to_custom_streamed_response_wrapper(
+            content.retrieve,
+            StreamedBinaryAPIResponse,
+        )
+
+
+class AsyncContentWithStreamingResponse:
+    def __init__(self, content: AsyncContent) -> None:
+        self._content = content
+
+        self.retrieve = async_to_custom_streamed_response_wrapper(
+            content.retrieve,
+            AsyncStreamedBinaryAPIResponse,
+        )
diff --git a/portkey_ai/_vendor/openai/resources/skills/skills.py b/portkey_ai/_vendor/openai/resources/skills/skills.py
new file mode 100644
index 00000000..f44fb246
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/skills.py
@@ -0,0 +1,618 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union, Mapping, cast
+from typing_extensions import Literal
+
+import httpx
+
+from ... import _legacy_response
+from ...types import skill_list_params, skill_create_params, skill_update_params
+from .content import (
+    Content,
+    AsyncContent,
+    ContentWithRawResponse,
+    AsyncContentWithRawResponse,
+    ContentWithStreamingResponse,
+    AsyncContentWithStreamingResponse,
+)
+from ..._types import (
+    Body,
+    Omit,
+    Query,
+    Headers,
+    NotGiven,
+    FileTypes,
+    SequenceNotStr,
+    omit,
+    not_given,
+)
+from ..._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
+from ..._compat import cached_property
+from ..._resource import SyncAPIResource, AsyncAPIResource
+from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
+from ...pagination import SyncCursorPage, AsyncCursorPage
+from ...types.skill import Skill
+from ..._base_client import AsyncPaginator, make_request_options
+from .versions.versions import (
+    Versions,
+    AsyncVersions,
+    VersionsWithRawResponse,
+    AsyncVersionsWithRawResponse,
+    VersionsWithStreamingResponse,
+    AsyncVersionsWithStreamingResponse,
+)
+from ...types.deleted_skill import DeletedSkill
+
+__all__ = ["Skills", "AsyncSkills"]
+
+
+class Skills(SyncAPIResource):
+    @cached_property
+    def content(self) -> Content:
+        return Content(self._client)
+
+    @cached_property
+    def versions(self) -> Versions:
+        return Versions(self._client)
+
+    @cached_property
+    def with_raw_response(self) -> SkillsWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return SkillsWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> SkillsWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return SkillsWithStreamingResponse(self)
+
+    def create(
+        self,
+        *,
+        files: Union[SequenceNotStr[FileTypes], FileTypes] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Create a new skill.
+
+        Args:
+          files: Skill files to upload (directory upload) or a single zip file.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal({"files": files})
+        extracted_files = extract_files(cast(Mapping[str, object], body), paths=[["files", "<array>"], ["files"]])
+        if extracted_files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return self._post(
+            "/skills",
+            body=maybe_transform(body, skill_create_params.SkillCreateParams),
+            files=extracted_files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    def retrieve(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Get a skill by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return self._get(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    def update(
+        self,
+        skill_id: str,
+        *,
+        default_version: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Update the default version pointer for a skill.
+
+        Args:
+          default_version: The skill version number to set as default.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return self._post(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            body=maybe_transform({"default_version": default_version}, skill_update_params.SkillUpdateParams),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    def list(
+        self,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["asc", "desc"] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SyncCursorPage[Skill]:
+        """
+        List all skills for the current project.
+
+        Args:
+          after: Identifier for the last item from the previous pagination request
+
+          limit: Number of items to retrieve
+
+          order: Sort order of results by timestamp. Use `asc` for ascending order or `desc` for
+              descending order.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        return self._get_api_list(
+            "/skills",
+            page=SyncCursorPage[Skill],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                    },
+                    skill_list_params.SkillListParams,
+                ),
+            ),
+            model=Skill,
+        )
+
+    def delete(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> DeletedSkill:
+        """
+        Delete a skill by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return self._delete(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=DeletedSkill,
+        )
+
+
+class AsyncSkills(AsyncAPIResource):
+    @cached_property
+    def content(self) -> AsyncContent:
+        return AsyncContent(self._client)
+
+    @cached_property
+    def versions(self) -> AsyncVersions:
+        return AsyncVersions(self._client)
+
+    @cached_property
+    def with_raw_response(self) -> AsyncSkillsWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncSkillsWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncSkillsWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return AsyncSkillsWithStreamingResponse(self)
+
+    async def create(
+        self,
+        *,
+        files: Union[SequenceNotStr[FileTypes], FileTypes] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Create a new skill.
+
+        Args:
+          files: Skill files to upload (directory upload) or a single zip file.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal({"files": files})
+        extracted_files = extract_files(cast(Mapping[str, object], body), paths=[["files", "<array>"], ["files"]])
+        if extracted_files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return await self._post(
+            "/skills",
+            body=await async_maybe_transform(body, skill_create_params.SkillCreateParams),
+            files=extracted_files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    async def retrieve(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Get a skill by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return await self._get(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    async def update(
+        self,
+        skill_id: str,
+        *,
+        default_version: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Skill:
+        """
+        Update the default version pointer for a skill.
+
+        Args:
+          default_version: The skill version number to set as default.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return await self._post(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            body=await async_maybe_transform(
+                {"default_version": default_version}, skill_update_params.SkillUpdateParams
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Skill,
+        )
+
+    def list(
+        self,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["asc", "desc"] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> AsyncPaginator[Skill, AsyncCursorPage[Skill]]:
+        """
+        List all skills for the current project.
+
+        Args:
+          after: Identifier for the last item from the previous pagination request
+
+          limit: Number of items to retrieve
+
+          order: Sort order of results by timestamp. Use `asc` for ascending order or `desc` for
+              descending order.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        return self._get_api_list(
+            "/skills",
+            page=AsyncCursorPage[Skill],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                    },
+                    skill_list_params.SkillListParams,
+                ),
+            ),
+            model=Skill,
+        )
+
+    async def delete(
+        self,
+        skill_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> DeletedSkill:
+        """
+        Delete a skill by its ID.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return await self._delete(
+            path_template("/skills/{skill_id}", skill_id=skill_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=DeletedSkill,
+        )
+
+
+class SkillsWithRawResponse:
+    def __init__(self, skills: Skills) -> None:
+        self._skills = skills
+
+        self.create = _legacy_response.to_raw_response_wrapper(
+            skills.create,
+        )
+        self.retrieve = _legacy_response.to_raw_response_wrapper(
+            skills.retrieve,
+        )
+        self.update = _legacy_response.to_raw_response_wrapper(
+            skills.update,
+        )
+        self.list = _legacy_response.to_raw_response_wrapper(
+            skills.list,
+        )
+        self.delete = _legacy_response.to_raw_response_wrapper(
+            skills.delete,
+        )
+
+    @cached_property
+    def content(self) -> ContentWithRawResponse:
+        return ContentWithRawResponse(self._skills.content)
+
+    @cached_property
+    def versions(self) -> VersionsWithRawResponse:
+        return VersionsWithRawResponse(self._skills.versions)
+
+
+class AsyncSkillsWithRawResponse:
+    def __init__(self, skills: AsyncSkills) -> None:
+        self._skills = skills
+
+        self.create = _legacy_response.async_to_raw_response_wrapper(
+            skills.create,
+        )
+        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
+            skills.retrieve,
+        )
+        self.update = _legacy_response.async_to_raw_response_wrapper(
+            skills.update,
+        )
+        self.list = _legacy_response.async_to_raw_response_wrapper(
+            skills.list,
+        )
+        self.delete = _legacy_response.async_to_raw_response_wrapper(
+            skills.delete,
+        )
+
+    @cached_property
+    def content(self) -> AsyncContentWithRawResponse:
+        return AsyncContentWithRawResponse(self._skills.content)
+
+    @cached_property
+    def versions(self) -> AsyncVersionsWithRawResponse:
+        return AsyncVersionsWithRawResponse(self._skills.versions)
+
+
+class SkillsWithStreamingResponse:
+    def __init__(self, skills: Skills) -> None:
+        self._skills = skills
+
+        self.create = to_streamed_response_wrapper(
+            skills.create,
+        )
+        self.retrieve = to_streamed_response_wrapper(
+            skills.retrieve,
+        )
+        self.update = to_streamed_response_wrapper(
+            skills.update,
+        )
+        self.list = to_streamed_response_wrapper(
+            skills.list,
+        )
+        self.delete = to_streamed_response_wrapper(
+            skills.delete,
+        )
+
+    @cached_property
+    def content(self) -> ContentWithStreamingResponse:
+        return ContentWithStreamingResponse(self._skills.content)
+
+    @cached_property
+    def versions(self) -> VersionsWithStreamingResponse:
+        return VersionsWithStreamingResponse(self._skills.versions)
+
+
+class AsyncSkillsWithStreamingResponse:
+    def __init__(self, skills: AsyncSkills) -> None:
+        self._skills = skills
+
+        self.create = async_to_streamed_response_wrapper(
+            skills.create,
+        )
+        self.retrieve = async_to_streamed_response_wrapper(
+            skills.retrieve,
+        )
+        self.update = async_to_streamed_response_wrapper(
+            skills.update,
+        )
+        self.list = async_to_streamed_response_wrapper(
+            skills.list,
+        )
+        self.delete = async_to_streamed_response_wrapper(
+            skills.delete,
+        )
+
+    @cached_property
+    def content(self) -> AsyncContentWithStreamingResponse:
+        return AsyncContentWithStreamingResponse(self._skills.content)
+
+    @cached_property
+    def versions(self) -> AsyncVersionsWithStreamingResponse:
+        return AsyncVersionsWithStreamingResponse(self._skills.versions)
diff --git a/portkey_ai/_vendor/openai/resources/skills/versions/__init__.py b/portkey_ai/_vendor/openai/resources/skills/versions/__init__.py
new file mode 100644
index 00000000..c9ad6fbb
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/versions/__init__.py
@@ -0,0 +1,33 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from .content import (
+    Content,
+    AsyncContent,
+    ContentWithRawResponse,
+    AsyncContentWithRawResponse,
+    ContentWithStreamingResponse,
+    AsyncContentWithStreamingResponse,
+)
+from .versions import (
+    Versions,
+    AsyncVersions,
+    VersionsWithRawResponse,
+    AsyncVersionsWithRawResponse,
+    VersionsWithStreamingResponse,
+    AsyncVersionsWithStreamingResponse,
+)
+
+__all__ = [
+    "Content",
+    "AsyncContent",
+    "ContentWithRawResponse",
+    "AsyncContentWithRawResponse",
+    "ContentWithStreamingResponse",
+    "AsyncContentWithStreamingResponse",
+    "Versions",
+    "AsyncVersions",
+    "VersionsWithRawResponse",
+    "AsyncVersionsWithRawResponse",
+    "VersionsWithStreamingResponse",
+    "AsyncVersionsWithStreamingResponse",
+]
diff --git a/portkey_ai/_vendor/openai/resources/skills/versions/content.py b/portkey_ai/_vendor/openai/resources/skills/versions/content.py
new file mode 100644
index 00000000..2f545867
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/versions/content.py
@@ -0,0 +1,178 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+import httpx
+
+from .... import _legacy_response
+from ...._types import Body, Query, Headers, NotGiven, not_given
+from ...._utils import path_template
+from ...._compat import cached_property
+from ...._resource import SyncAPIResource, AsyncAPIResource
+from ...._response import (
+    StreamedBinaryAPIResponse,
+    AsyncStreamedBinaryAPIResponse,
+    to_custom_streamed_response_wrapper,
+    async_to_custom_streamed_response_wrapper,
+)
+from ...._base_client import make_request_options
+
+__all__ = ["Content", "AsyncContent"]
+
+
+class Content(SyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> ContentWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return ContentWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> ContentWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return ContentWithStreamingResponse(self)
+
+    def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> _legacy_response.HttpxBinaryResponseContent:
+        """
+        Download a skill version zip bundle.
+
+        Args:
+          version: The skill version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
+        return self._get(
+            path_template("/skills/{skill_id}/versions/{version}/content", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=_legacy_response.HttpxBinaryResponseContent,
+        )
+
+
+class AsyncContent(AsyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> AsyncContentWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncContentWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncContentWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return AsyncContentWithStreamingResponse(self)
+
+    async def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> _legacy_response.HttpxBinaryResponseContent:
+        """
+        Download a skill version zip bundle.
+
+        Args:
+          version: The skill version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
+        return await self._get(
+            path_template("/skills/{skill_id}/versions/{version}/content", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=_legacy_response.HttpxBinaryResponseContent,
+        )
+
+
+class ContentWithRawResponse:
+    def __init__(self, content: Content) -> None:
+        self._content = content
+
+        self.retrieve = _legacy_response.to_raw_response_wrapper(
+            content.retrieve,
+        )
+
+
+class AsyncContentWithRawResponse:
+    def __init__(self, content: AsyncContent) -> None:
+        self._content = content
+
+        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
+            content.retrieve,
+        )
+
+
+class ContentWithStreamingResponse:
+    def __init__(self, content: Content) -> None:
+        self._content = content
+
+        self.retrieve = to_custom_streamed_response_wrapper(
+            content.retrieve,
+            StreamedBinaryAPIResponse,
+        )
+
+
+class AsyncContentWithStreamingResponse:
+    def __init__(self, content: AsyncContent) -> None:
+        self._content = content
+
+        self.retrieve = async_to_custom_streamed_response_wrapper(
+            content.retrieve,
+            AsyncStreamedBinaryAPIResponse,
+        )
diff --git a/portkey_ai/_vendor/openai/resources/skills/versions/versions.py b/portkey_ai/_vendor/openai/resources/skills/versions/versions.py
new file mode 100644
index 00000000..8b48075c
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/skills/versions/versions.py
@@ -0,0 +1,544 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union, Mapping, cast
+from typing_extensions import Literal
+
+import httpx
+
+from .... import _legacy_response
+from .content import (
+    Content,
+    AsyncContent,
+    ContentWithRawResponse,
+    AsyncContentWithRawResponse,
+    ContentWithStreamingResponse,
+    AsyncContentWithStreamingResponse,
+)
+from ...._types import (
+    Body,
+    Omit,
+    Query,
+    Headers,
+    NotGiven,
+    FileTypes,
+    SequenceNotStr,
+    omit,
+    not_given,
+)
+from ...._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
+from ...._compat import cached_property
+from ...._resource import SyncAPIResource, AsyncAPIResource
+from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
+from ....pagination import SyncCursorPage, AsyncCursorPage
+from ...._base_client import AsyncPaginator, make_request_options
+from ....types.skills import version_list_params, version_create_params
+from ....types.skills.skill_version import SkillVersion
+from ....types.skills.deleted_skill_version import DeletedSkillVersion
+
+__all__ = ["Versions", "AsyncVersions"]
+
+
+class Versions(SyncAPIResource):
+    @cached_property
+    def content(self) -> Content:
+        return Content(self._client)
+
+    @cached_property
+    def with_raw_response(self) -> VersionsWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return VersionsWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> VersionsWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return VersionsWithStreamingResponse(self)
+
+    def create(
+        self,
+        skill_id: str,
+        *,
+        default: bool | Omit = omit,
+        files: Union[SequenceNotStr[FileTypes], FileTypes] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SkillVersion:
+        """
+        Create a new immutable skill version.
+
+        Args:
+          default: Whether to set this version as the default.
+
+          files: Skill files to upload (directory upload) or a single zip file.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        body = deepcopy_minimal(
+            {
+                "default": default,
+                "files": files,
+            }
+        )
+        extracted_files = extract_files(cast(Mapping[str, object], body), paths=[["files", "<array>"], ["files"]])
+        if extracted_files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return self._post(
+            path_template("/skills/{skill_id}/versions", skill_id=skill_id),
+            body=maybe_transform(body, version_create_params.VersionCreateParams),
+            files=extracted_files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=SkillVersion,
+        )
+
+    def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SkillVersion:
+        """
+        Get a specific skill version.
+
+        Args:
+          version: The version number to retrieve.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        return self._get(
+            path_template("/skills/{skill_id}/versions/{version}", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=SkillVersion,
+        )
+
+    def list(
+        self,
+        skill_id: str,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["asc", "desc"] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SyncCursorPage[SkillVersion]:
+        """
+        List skill versions for a skill.
+
+        Args:
+          after: The skill version ID to start after.
+
+          limit: Number of versions to retrieve.
+
+          order: Sort order of results by version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return self._get_api_list(
+            path_template("/skills/{skill_id}/versions", skill_id=skill_id),
+            page=SyncCursorPage[SkillVersion],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                    },
+                    version_list_params.VersionListParams,
+                ),
+            ),
+            model=SkillVersion,
+        )
+
+    def delete(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> DeletedSkillVersion:
+        """
+        Delete a skill version.
+
+        Args:
+          version: The skill version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        return self._delete(
+            path_template("/skills/{skill_id}/versions/{version}", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=DeletedSkillVersion,
+        )
+
+
+class AsyncVersions(AsyncAPIResource):
+    @cached_property
+    def content(self) -> AsyncContent:
+        return AsyncContent(self._client)
+
+    @cached_property
+    def with_raw_response(self) -> AsyncVersionsWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncVersionsWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncVersionsWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
+        """
+        return AsyncVersionsWithStreamingResponse(self)
+
+    async def create(
+        self,
+        skill_id: str,
+        *,
+        default: bool | Omit = omit,
+        files: Union[SequenceNotStr[FileTypes], FileTypes] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SkillVersion:
+        """
+        Create a new immutable skill version.
+
+        Args:
+          default: Whether to set this version as the default.
+
+          files: Skill files to upload (directory upload) or a single zip file.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        body = deepcopy_minimal(
+            {
+                "default": default,
+                "files": files,
+            }
+        )
+        extracted_files = extract_files(cast(Mapping[str, object], body), paths=[["files", "<array>"], ["files"]])
+        if extracted_files:
+            # It should be noted that the actual Content-Type header that will be
+            # sent to the server will contain a `boundary` parameter, e.g.
+            # multipart/form-data; boundary=---abc--
+            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return await self._post(
+            path_template("/skills/{skill_id}/versions", skill_id=skill_id),
+            body=await async_maybe_transform(body, version_create_params.VersionCreateParams),
+            files=extracted_files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=SkillVersion,
+        )
+
+    async def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> SkillVersion:
+        """
+        Get a specific skill version.
+
+        Args:
+          version: The version number to retrieve.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        return await self._get(
+            path_template("/skills/{skill_id}/versions/{version}", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=SkillVersion,
+        )
+
+    def list(
+        self,
+        skill_id: str,
+        *,
+        after: str | Omit = omit,
+        limit: int | Omit = omit,
+        order: Literal["asc", "desc"] | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> AsyncPaginator[SkillVersion, AsyncCursorPage[SkillVersion]]:
+        """
+        List skill versions for a skill.
+
+        Args:
+          after: The skill version ID to start after.
+
+          limit: Number of versions to retrieve.
+
+          order: Sort order of results by version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        return self._get_api_list(
+            path_template("/skills/{skill_id}/versions", skill_id=skill_id),
+            page=AsyncCursorPage[SkillVersion],
+            options=make_request_options(
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body=extra_body,
+                timeout=timeout,
+                query=maybe_transform(
+                    {
+                        "after": after,
+                        "limit": limit,
+                        "order": order,
+                    },
+                    version_list_params.VersionListParams,
+                ),
+            ),
+            model=SkillVersion,
+        )
+
+    async def delete(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> DeletedSkillVersion:
+        """
+        Delete a skill version.
+
+        Args:
+          version: The skill version number.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not skill_id:
+            raise ValueError(f"Expected a non-empty value for `skill_id` but received {skill_id!r}")
+        if not version:
+            raise ValueError(f"Expected a non-empty value for `version` but received {version!r}")
+        return await self._delete(
+            path_template("/skills/{skill_id}/versions/{version}", skill_id=skill_id, version=version),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=DeletedSkillVersion,
+        )
+
+
+class VersionsWithRawResponse:
+    def __init__(self, versions: Versions) -> None:
+        self._versions = versions
+
+        self.create = _legacy_response.to_raw_response_wrapper(
+            versions.create,
+        )
+        self.retrieve = _legacy_response.to_raw_response_wrapper(
+            versions.retrieve,
+        )
+        self.list = _legacy_response.to_raw_response_wrapper(
+            versions.list,
+        )
+        self.delete = _legacy_response.to_raw_response_wrapper(
+            versions.delete,
+        )
+
+    @cached_property
+    def content(self) -> ContentWithRawResponse:
+        return ContentWithRawResponse(self._versions.content)
+
+
+class AsyncVersionsWithRawResponse:
+    def __init__(self, versions: AsyncVersions) -> None:
+        self._versions = versions
+
+        self.create = _legacy_response.async_to_raw_response_wrapper(
+            versions.create,
+        )
+        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
+            versions.retrieve,
+        )
+        self.list = _legacy_response.async_to_raw_response_wrapper(
+            versions.list,
+        )
+        self.delete = _legacy_response.async_to_raw_response_wrapper(
+            versions.delete,
+        )
+
+    @cached_property
+    def content(self) -> AsyncContentWithRawResponse:
+        return AsyncContentWithRawResponse(self._versions.content)
+
+
+class VersionsWithStreamingResponse:
+    def __init__(self, versions: Versions) -> None:
+        self._versions = versions
+
+        self.create = to_streamed_response_wrapper(
+            versions.create,
+        )
+        self.retrieve = to_streamed_response_wrapper(
+            versions.retrieve,
+        )
+        self.list = to_streamed_response_wrapper(
+            versions.list,
+        )
+        self.delete = to_streamed_response_wrapper(
+            versions.delete,
+        )
+
+    @cached_property
+    def content(self) -> ContentWithStreamingResponse:
+        return ContentWithStreamingResponse(self._versions.content)
+
+
+class AsyncVersionsWithStreamingResponse:
+    def __init__(self, versions: AsyncVersions) -> None:
+        self._versions = versions
+
+        self.create = async_to_streamed_response_wrapper(
+            versions.create,
+        )
+        self.retrieve = async_to_streamed_response_wrapper(
+            versions.retrieve,
+        )
+        self.list = async_to_streamed_response_wrapper(
+            versions.list,
+        )
+        self.delete = async_to_streamed_response_wrapper(
+            versions.delete,
+        )
+
+    @cached_property
+    def content(self) -> AsyncContentWithStreamingResponse:
+        return AsyncContentWithStreamingResponse(self._versions.content)
diff --git a/portkey_ai/_vendor/openai/resources/uploads/parts.py b/portkey_ai/_vendor/openai/resources/uploads/parts.py
index 73eabd40..cf09eea7 100644
--- a/portkey_ai/_vendor/openai/resources/uploads/parts.py
+++ b/portkey_ai/_vendor/openai/resources/uploads/parts.py
@@ -8,7 +8,7 @@
 
 from ... import _legacy_response
 from ..._types import Body, Query, Headers, NotGiven, FileTypes, not_given
-from ..._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform
+from ..._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -20,6 +20,8 @@
 
 
 class Parts(SyncAPIResource):
+    """Use Uploads to upload large files in multiple parts."""
+
     @cached_property
     def with_raw_response(self) -> PartsWithRawResponse:
         """
@@ -84,7 +86,7 @@ def create(
         # multipart/form-data; boundary=---abc--
         extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return self._post(
-            f"/uploads/{upload_id}/parts",
+            path_template("/uploads/{upload_id}/parts", upload_id=upload_id),
             body=maybe_transform(body, part_create_params.PartCreateParams),
             files=files,
             options=make_request_options(
@@ -95,6 +97,8 @@ def create(
 
 
 class AsyncParts(AsyncAPIResource):
+    """Use Uploads to upload large files in multiple parts."""
+
     @cached_property
     def with_raw_response(self) -> AsyncPartsWithRawResponse:
         """
@@ -159,7 +163,7 @@ async def create(
         # multipart/form-data; boundary=---abc--
         extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return await self._post(
-            f"/uploads/{upload_id}/parts",
+            path_template("/uploads/{upload_id}/parts", upload_id=upload_id),
             body=await async_maybe_transform(body, part_create_params.PartCreateParams),
             files=files,
             options=make_request_options(
diff --git a/portkey_ai/_vendor/openai/resources/uploads/uploads.py b/portkey_ai/_vendor/openai/resources/uploads/uploads.py
index e8c047bd..7778e515 100644
--- a/portkey_ai/_vendor/openai/resources/uploads/uploads.py
+++ b/portkey_ai/_vendor/openai/resources/uploads/uploads.py
@@ -23,7 +23,7 @@
 )
 from ...types import FilePurpose, upload_create_params, upload_complete_params
 from ..._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -41,8 +41,11 @@
 
 
 class Uploads(SyncAPIResource):
+    """Use Uploads to upload large files in multiple parts."""
+
     @cached_property
     def parts(self) -> Parts:
+        """Use Uploads to upload large files in multiple parts."""
         return Parts(self._client)
 
     @cached_property
@@ -198,6 +201,8 @@ def create(
         the documentation on
         [creating a File](https://platform.openai.com/docs/api-reference/files/create).
 
+        Returns the Upload object with status `pending`.
+
         Args:
           bytes: The number of bytes in the file you are uploading.
 
@@ -257,6 +262,8 @@ def cancel(
 
         No Parts may be added after an Upload is cancelled.
 
+        Returns the Upload object with status `cancelled`.
+
         Args:
           extra_headers: Send extra headers
 
@@ -269,7 +276,7 @@ def cancel(
         if not upload_id:
             raise ValueError(f"Expected a non-empty value for `upload_id` but received {upload_id!r}")
         return self._post(
-            f"/uploads/{upload_id}/cancel",
+            path_template("/uploads/{upload_id}/cancel", upload_id=upload_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -302,7 +309,9 @@ def complete(
 
         The number of bytes uploaded upon completion must match the number of bytes
         initially specified when creating the Upload object. No Parts may be added after
-        an Upload is completed.
+        an Upload is completed. Returns the Upload object with status `completed`,
+        including an additional `file` property containing the created usable File
+        object.
 
         Args:
           part_ids: The ordered list of Part IDs.
@@ -321,7 +330,7 @@ def complete(
         if not upload_id:
             raise ValueError(f"Expected a non-empty value for `upload_id` but received {upload_id!r}")
         return self._post(
-            f"/uploads/{upload_id}/complete",
+            path_template("/uploads/{upload_id}/complete", upload_id=upload_id),
             body=maybe_transform(
                 {
                     "part_ids": part_ids,
@@ -337,8 +346,11 @@ def complete(
 
 
 class AsyncUploads(AsyncAPIResource):
+    """Use Uploads to upload large files in multiple parts."""
+
     @cached_property
     def parts(self) -> AsyncParts:
+        """Use Uploads to upload large files in multiple parts."""
         return AsyncParts(self._client)
 
     @cached_property
@@ -505,6 +517,8 @@ async def create(
         the documentation on
         [creating a File](https://platform.openai.com/docs/api-reference/files/create).
 
+        Returns the Upload object with status `pending`.
+
         Args:
           bytes: The number of bytes in the file you are uploading.
 
@@ -564,6 +578,8 @@ async def cancel(
 
         No Parts may be added after an Upload is cancelled.
 
+        Returns the Upload object with status `cancelled`.
+
         Args:
           extra_headers: Send extra headers
 
@@ -576,7 +592,7 @@ async def cancel(
         if not upload_id:
             raise ValueError(f"Expected a non-empty value for `upload_id` but received {upload_id!r}")
         return await self._post(
-            f"/uploads/{upload_id}/cancel",
+            path_template("/uploads/{upload_id}/cancel", upload_id=upload_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -609,7 +625,9 @@ async def complete(
 
         The number of bytes uploaded upon completion must match the number of bytes
         initially specified when creating the Upload object. No Parts may be added after
-        an Upload is completed.
+        an Upload is completed. Returns the Upload object with status `completed`,
+        including an additional `file` property containing the created usable File
+        object.
 
         Args:
           part_ids: The ordered list of Part IDs.
@@ -628,7 +646,7 @@ async def complete(
         if not upload_id:
             raise ValueError(f"Expected a non-empty value for `upload_id` but received {upload_id!r}")
         return await self._post(
-            f"/uploads/{upload_id}/complete",
+            path_template("/uploads/{upload_id}/complete", upload_id=upload_id),
             body=await async_maybe_transform(
                 {
                     "part_ids": part_ids,
@@ -659,6 +677,7 @@ def __init__(self, uploads: Uploads) -> None:
 
     @cached_property
     def parts(self) -> PartsWithRawResponse:
+        """Use Uploads to upload large files in multiple parts."""
         return PartsWithRawResponse(self._uploads.parts)
 
 
@@ -678,6 +697,7 @@ def __init__(self, uploads: AsyncUploads) -> None:
 
     @cached_property
     def parts(self) -> AsyncPartsWithRawResponse:
+        """Use Uploads to upload large files in multiple parts."""
         return AsyncPartsWithRawResponse(self._uploads.parts)
 
 
@@ -697,6 +717,7 @@ def __init__(self, uploads: Uploads) -> None:
 
     @cached_property
     def parts(self) -> PartsWithStreamingResponse:
+        """Use Uploads to upload large files in multiple parts."""
         return PartsWithStreamingResponse(self._uploads.parts)
 
 
@@ -716,4 +737,5 @@ def __init__(self, uploads: AsyncUploads) -> None:
 
     @cached_property
     def parts(self) -> AsyncPartsWithStreamingResponse:
+        """Use Uploads to upload large files in multiple parts."""
         return AsyncPartsWithStreamingResponse(self._uploads.parts)
diff --git a/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py b/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py
index d31fb59b..f097cf8a 100644
--- a/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py
+++ b/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py
@@ -13,7 +13,7 @@
 from ... import _legacy_response
 from ...types import FileChunkingStrategyParam
 from ..._types import Body, Omit, Query, Headers, NotGiven, FileTypes, SequenceNotStr, omit, not_given
-from ..._utils import is_given, maybe_transform, async_maybe_transform
+from ..._utils import is_given, path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -79,12 +79,14 @@ def create(
           file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
               the vector store should use. Useful for tools like `file_search` that can access
               files. If `attributes` or `chunking_strategy` are provided, they will be applied
-              to all files in the batch. Mutually exclusive with `files`.
+              to all files in the batch. The maximum batch size is 2000 files. Mutually
+              exclusive with `files`.
 
           files: A list of objects that each include a `file_id` plus optional `attributes` or
               `chunking_strategy`. Use this when you need to override metadata for specific
               files. The global `attributes` or `chunking_strategy` will be ignored and must
-              be specified for each file. Mutually exclusive with `file_ids`.
+              be specified for each file. The maximum batch size is 2000 files. Mutually
+              exclusive with `file_ids`.
 
           extra_headers: Send extra headers
 
@@ -98,7 +100,7 @@ def create(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/vector_stores/{vector_store_id}/file_batches",
+            path_template("/vector_stores/{vector_store_id}/file_batches", vector_store_id=vector_store_id),
             body=maybe_transform(
                 {
                     "attributes": attributes,
@@ -144,7 +146,11 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -183,7 +189,11 @@ def cancel(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -194,15 +204,29 @@ def create_and_poll(
         self,
         vector_store_id: str,
         *,
-        file_ids: SequenceNotStr[str],
-        poll_interval_ms: int | Omit = omit,
+        attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit,
         chunking_strategy: FileChunkingStrategyParam | Omit = omit,
+        file_ids: SequenceNotStr[str] | Omit = omit,
+        files: Iterable[file_batch_create_params.File] | Omit = omit,
+        poll_interval_ms: int | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VectorStoreFileBatch:
         """Create a vector store batch and poll until all files have been processed."""
         batch = self.create(
             vector_store_id=vector_store_id,
-            file_ids=file_ids,
+            attributes=attributes,
             chunking_strategy=chunking_strategy,
+            file_ids=file_ids,
+            files=files,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
         )
         # TODO: don't poll unless necessary??
         return self.poll(
@@ -264,7 +288,11 @@ def list_files(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             page=SyncCursorPage[VectorStoreFile],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -424,12 +452,14 @@ async def create(
           file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
               the vector store should use. Useful for tools like `file_search` that can access
               files. If `attributes` or `chunking_strategy` are provided, they will be applied
-              to all files in the batch. Mutually exclusive with `files`.
+              to all files in the batch. The maximum batch size is 2000 files. Mutually
+              exclusive with `files`.
 
           files: A list of objects that each include a `file_id` plus optional `attributes` or
               `chunking_strategy`. Use this when you need to override metadata for specific
               files. The global `attributes` or `chunking_strategy` will be ignored and must
-              be specified for each file. Mutually exclusive with `file_ids`.
+              be specified for each file. The maximum batch size is 2000 files. Mutually
+              exclusive with `file_ids`.
 
           extra_headers: Send extra headers
 
@@ -443,7 +473,7 @@ async def create(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/vector_stores/{vector_store_id}/file_batches",
+            path_template("/vector_stores/{vector_store_id}/file_batches", vector_store_id=vector_store_id),
             body=await async_maybe_transform(
                 {
                     "attributes": attributes,
@@ -489,7 +519,11 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -528,7 +562,11 @@ async def cancel(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -539,15 +577,29 @@ async def create_and_poll(
         self,
         vector_store_id: str,
         *,
-        file_ids: SequenceNotStr[str],
-        poll_interval_ms: int | Omit = omit,
+        attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit,
         chunking_strategy: FileChunkingStrategyParam | Omit = omit,
+        file_ids: SequenceNotStr[str] | Omit = omit,
+        files: Iterable[file_batch_create_params.File] | Omit = omit,
+        poll_interval_ms: int | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VectorStoreFileBatch:
         """Create a vector store batch and poll until all files have been processed."""
         batch = await self.create(
             vector_store_id=vector_store_id,
-            file_ids=file_ids,
+            attributes=attributes,
             chunking_strategy=chunking_strategy,
+            file_ids=file_ids,
+            files=files,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
         )
         # TODO: don't poll unless necessary??
         return await self.poll(
@@ -609,7 +661,11 @@ def list_files(
             raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
+            path_template(
+                "/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
+                vector_store_id=vector_store_id,
+                batch_id=batch_id,
+            ),
             page=AsyncCursorPage[VectorStoreFile],
             options=make_request_options(
                 extra_headers=extra_headers,
diff --git a/portkey_ai/_vendor/openai/resources/vector_stores/files.py b/portkey_ai/_vendor/openai/resources/vector_stores/files.py
index d2eb4e16..86664345 100644
--- a/portkey_ai/_vendor/openai/resources/vector_stores/files.py
+++ b/portkey_ai/_vendor/openai/resources/vector_stores/files.py
@@ -10,7 +10,7 @@
 from ... import _legacy_response
 from ...types import FileChunkingStrategyParam
 from ..._types import Body, Omit, Query, Headers, NotGiven, FileTypes, omit, not_given
-from ..._utils import is_given, maybe_transform, async_maybe_transform
+from ..._utils import is_given, path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -90,7 +90,7 @@ def create(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/vector_stores/{vector_store_id}/files",
+            path_template("/vector_stores/{vector_store_id}/files", vector_store_id=vector_store_id),
             body=maybe_transform(
                 {
                     "file_id": file_id,
@@ -135,7 +135,9 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -179,7 +181,9 @@ def update(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             body=maybe_transform({"attributes": attributes}, file_update_params.FileUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -237,7 +241,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/files",
+            path_template("/vector_stores/{vector_store_id}/files", vector_store_id=vector_store_id),
             page=SyncCursorPage[VectorStoreFile],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -292,7 +296,9 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._delete(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -307,10 +313,23 @@ def create_and_poll(
         attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit,
         poll_interval_ms: int | Omit = omit,
         chunking_strategy: FileChunkingStrategyParam | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VectorStoreFile:
         """Attach a file to the given vector store and wait for it to be processed."""
         self.create(
-            vector_store_id=vector_store_id, file_id=file_id, chunking_strategy=chunking_strategy, attributes=attributes
+            vector_store_id=vector_store_id,
+            file_id=file_id,
+            chunking_strategy=chunking_strategy,
+            attributes=attributes,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
         )
 
         return self.poll(
@@ -424,7 +443,11 @@ def content(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/files/{file_id}/content",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}/content",
+                vector_store_id=vector_store_id,
+                file_id=file_id,
+            ),
             page=SyncPage[FileContentResponse],
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -498,7 +521,7 @@ async def create(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/vector_stores/{vector_store_id}/files",
+            path_template("/vector_stores/{vector_store_id}/files", vector_store_id=vector_store_id),
             body=await async_maybe_transform(
                 {
                     "file_id": file_id,
@@ -543,7 +566,9 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -587,7 +612,9 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             body=await async_maybe_transform({"attributes": attributes}, file_update_params.FileUpdateParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -645,7 +672,7 @@ def list(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/files",
+            path_template("/vector_stores/{vector_store_id}/files", vector_store_id=vector_store_id),
             page=AsyncCursorPage[VectorStoreFile],
             options=make_request_options(
                 extra_headers=extra_headers,
@@ -700,7 +727,9 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._delete(
-            f"/vector_stores/{vector_store_id}/files/{file_id}",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}", vector_store_id=vector_store_id, file_id=file_id
+            ),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -715,10 +744,23 @@ async def create_and_poll(
         attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit,
         poll_interval_ms: int | Omit = omit,
         chunking_strategy: FileChunkingStrategyParam | Omit = omit,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VectorStoreFile:
         """Attach a file to the given vector store and wait for it to be processed."""
         await self.create(
-            vector_store_id=vector_store_id, file_id=file_id, chunking_strategy=chunking_strategy, attributes=attributes
+            vector_store_id=vector_store_id,
+            file_id=file_id,
+            chunking_strategy=chunking_strategy,
+            attributes=attributes,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
         )
 
         return await self.poll(
@@ -834,7 +876,11 @@ def content(
             raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/files/{file_id}/content",
+            path_template(
+                "/vector_stores/{vector_store_id}/files/{file_id}/content",
+                vector_store_id=vector_store_id,
+                file_id=file_id,
+            ),
             page=AsyncPage[FileContentResponse],
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
diff --git a/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py b/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py
index 490e3e7f..7fa2ad52 100644
--- a/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py
+++ b/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py
@@ -24,7 +24,7 @@
     vector_store_update_params,
 )
 from ..._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
-from ..._utils import maybe_transform, async_maybe_transform
+from ..._utils import path_template, maybe_transform, async_maybe_transform
 from ..._compat import cached_property
 from ..._resource import SyncAPIResource, AsyncAPIResource
 from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
@@ -171,7 +171,7 @@ def retrieve(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -219,7 +219,7 @@ def update(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._post(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             body=maybe_transform(
                 {
                     "expires_after": expires_after,
@@ -326,7 +326,7 @@ def delete(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._delete(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -377,7 +377,7 @@ def search(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/search",
+            path_template("/vector_stores/{vector_store_id}/search", vector_store_id=vector_store_id),
             page=SyncPage[VectorStoreSearchResponse],
             body=maybe_transform(
                 {
@@ -521,7 +521,7 @@ async def retrieve(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._get(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -569,7 +569,7 @@ async def update(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._post(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             body=await async_maybe_transform(
                 {
                     "expires_after": expires_after,
@@ -676,7 +676,7 @@ async def delete(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return await self._delete(
-            f"/vector_stores/{vector_store_id}",
+            path_template("/vector_stores/{vector_store_id}", vector_store_id=vector_store_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -727,7 +727,7 @@ def search(
             raise ValueError(f"Expected a non-empty value for `vector_store_id` but received {vector_store_id!r}")
         extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})}
         return self._get_api_list(
-            f"/vector_stores/{vector_store_id}/search",
+            path_template("/vector_stores/{vector_store_id}/search", vector_store_id=vector_store_id),
             page=AsyncPage[VectorStoreSearchResponse],
             body=maybe_transform(
                 {
diff --git a/portkey_ai/_vendor/openai/resources/videos.py b/portkey_ai/_vendor/openai/resources/videos.py
index 9f74c942..a006e647 100644
--- a/portkey_ai/_vendor/openai/resources/videos.py
+++ b/portkey_ai/_vendor/openai/resources/videos.py
@@ -11,13 +11,16 @@
 from ..types import (
     VideoSize,
     VideoSeconds,
+    video_edit_params,
     video_list_params,
     video_remix_params,
     video_create_params,
+    video_extend_params,
+    video_create_character_params,
     video_download_content_params,
 )
 from .._types import Body, Omit, Query, Headers, NotGiven, FileTypes, omit, not_given
-from .._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform
+from .._utils import extract_files, path_template, maybe_transform, deepcopy_minimal, async_maybe_transform
 from .._compat import cached_property
 from .._resource import SyncAPIResource, AsyncAPIResource
 from .._response import (
@@ -36,6 +39,8 @@
 from ..types.video_seconds import VideoSeconds
 from ..types.video_model_param import VideoModelParam
 from ..types.video_delete_response import VideoDeleteResponse
+from ..types.video_get_character_response import VideoGetCharacterResponse
+from ..types.video_create_character_response import VideoCreateCharacterResponse
 
 __all__ = ["Videos", "AsyncVideos"]
 
@@ -64,7 +69,7 @@ def create(
         self,
         *,
         prompt: str,
-        input_reference: FileTypes | Omit = omit,
+        input_reference: video_create_params.InputReference | Omit = omit,
         model: VideoModelParam | Omit = omit,
         seconds: VideoSeconds | Omit = omit,
         size: VideoSize | Omit = omit,
@@ -76,12 +81,12 @@ def create(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Create a video
+        Create a new video generation job from a prompt and optional reference assets.
 
         Args:
           prompt: Text prompt that describes the video to generate.
 
-          input_reference: Optional image reference that guides generation.
+          input_reference: Optional reference asset upload or reference object that guides generation.
 
           model: The video generation model to use (allowed values: sora-2, sora-2-pro). Defaults
               to `sora-2`.
@@ -109,11 +114,10 @@ def create(
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["input_reference"]])
-        if files:
-            # It should be noted that the actual Content-Type header that will be
-            # sent to the server will contain a `boundary` parameter, e.g.
-            # multipart/form-data; boundary=---abc--
-            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return self._post(
             "/videos",
             body=maybe_transform(body, video_create_params.VideoCreateParams),
@@ -128,7 +132,7 @@ def create_and_poll(
         self,
         *,
         prompt: str,
-        input_reference: FileTypes | Omit = omit,
+        input_reference: video_create_params.InputReference | Omit = omit,
         model: VideoModelParam | Omit = omit,
         seconds: VideoSeconds | Omit = omit,
         size: VideoSize | Omit = omit,
@@ -209,7 +213,7 @@ def retrieve(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Retrieve a video
+        Fetch the latest metadata for a generated video.
 
         Args:
           extra_headers: Send extra headers
@@ -223,7 +227,7 @@ def retrieve(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return self._get(
-            f"/videos/{video_id}",
+            path_template("/videos/{video_id}", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -244,7 +248,7 @@ def list(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> SyncConversationCursorPage[Video]:
         """
-        List videos
+        List recently generated videos for the current project.
 
         Args:
           after: Identifier for the last item from the previous pagination request
@@ -294,7 +298,7 @@ def delete(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VideoDeleteResponse:
         """
-        Delete a video
+        Permanently delete a completed or failed video and its stored assets.
 
         Args:
           extra_headers: Send extra headers
@@ -308,13 +312,62 @@ def delete(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return self._delete(
-            f"/videos/{video_id}",
+            path_template("/videos/{video_id}", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
             cast_to=VideoDeleteResponse,
         )
 
+    def create_character(
+        self,
+        *,
+        name: str,
+        video: FileTypes,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> VideoCreateCharacterResponse:
+        """
+        Create a character from an uploaded video.
+
+        Args:
+          name: Display name for this API character.
+
+          video: Video file used to create a character.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "name": name,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return self._post(
+            "/videos/characters",
+            body=maybe_transform(body, video_create_character_params.VideoCreateCharacterParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VideoCreateCharacterResponse,
+        )
+
     def download_content(
         self,
         video_id: str,
@@ -327,12 +380,13 @@ def download_content(
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> _legacy_response.HttpxBinaryResponseContent:
-        """Download video content
+        """
+        Download the generated video bytes or a derived preview asset.
 
-        Args:
-          variant: Which downloadable asset to return.
+        Streams the rendered video content for the specified video job.
 
-        Defaults to the MP4 video.
+        Args:
+          variant: Which downloadable asset to return. Defaults to the MP4 video.
 
           extra_headers: Send extra headers
 
@@ -346,7 +400,7 @@ def download_content(
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return self._get(
-            f"/videos/{video_id}/content",
+            path_template("/videos/{video_id}/content", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -357,6 +411,143 @@ def download_content(
             cast_to=_legacy_response.HttpxBinaryResponseContent,
         )
 
+    def edit(
+        self,
+        *,
+        prompt: str,
+        video: video_edit_params.Video,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Video:
+        """
+        Create a new video generation job by editing a source video or existing
+        generated video.
+
+        Args:
+          prompt: Text prompt that describes how to edit the source video.
+
+          video: Reference to the completed video to edit.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "prompt": prompt,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return self._post(
+            "/videos/edits",
+            body=maybe_transform(body, video_edit_params.VideoEditParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Video,
+        )
+
+    def extend(
+        self,
+        *,
+        prompt: str,
+        seconds: VideoSeconds,
+        video: video_extend_params.Video,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Video:
+        """
+        Create an extension of a completed video.
+
+        Args:
+          prompt: Updated text prompt that directs the extension generation.
+
+          seconds: Length of the newly generated extension segment in seconds (allowed values: 4,
+              8, 12, 16, 20).
+
+          video: Reference to the completed video to extend.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "prompt": prompt,
+                "seconds": seconds,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return self._post(
+            "/videos/extensions",
+            body=maybe_transform(body, video_extend_params.VideoExtendParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Video,
+        )
+
+    def get_character(
+        self,
+        character_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> VideoGetCharacterResponse:
+        """
+        Fetch a character.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not character_id:
+            raise ValueError(f"Expected a non-empty value for `character_id` but received {character_id!r}")
+        return self._get(
+            path_template("/videos/characters/{character_id}", character_id=character_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VideoGetCharacterResponse,
+        )
+
     def remix(
         self,
         video_id: str,
@@ -370,7 +561,7 @@ def remix(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Create a video remix
+        Create a remix of a completed video using a refreshed prompt.
 
         Args:
           prompt: Updated text prompt that directs the remix generation.
@@ -386,7 +577,7 @@ def remix(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return self._post(
-            f"/videos/{video_id}/remix",
+            path_template("/videos/{video_id}/remix", video_id=video_id),
             body=maybe_transform({"prompt": prompt}, video_remix_params.VideoRemixParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -419,7 +610,7 @@ async def create(
         self,
         *,
         prompt: str,
-        input_reference: FileTypes | Omit = omit,
+        input_reference: video_create_params.InputReference | Omit = omit,
         model: VideoModelParam | Omit = omit,
         seconds: VideoSeconds | Omit = omit,
         size: VideoSize | Omit = omit,
@@ -431,12 +622,12 @@ async def create(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Create a video
+        Create a new video generation job from a prompt and optional reference assets.
 
         Args:
           prompt: Text prompt that describes the video to generate.
 
-          input_reference: Optional image reference that guides generation.
+          input_reference: Optional reference asset upload or reference object that guides generation.
 
           model: The video generation model to use (allowed values: sora-2, sora-2-pro). Defaults
               to `sora-2`.
@@ -464,11 +655,10 @@ async def create(
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["input_reference"]])
-        if files:
-            # It should be noted that the actual Content-Type header that will be
-            # sent to the server will contain a `boundary` parameter, e.g.
-            # multipart/form-data; boundary=---abc--
-            extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
         return await self._post(
             "/videos",
             body=await async_maybe_transform(body, video_create_params.VideoCreateParams),
@@ -483,7 +673,7 @@ async def create_and_poll(
         self,
         *,
         prompt: str,
-        input_reference: FileTypes | Omit = omit,
+        input_reference: video_create_params.InputReference | Omit = omit,
         model: VideoModelParam | Omit = omit,
         seconds: VideoSeconds | Omit = omit,
         size: VideoSize | Omit = omit,
@@ -564,7 +754,7 @@ async def retrieve(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Retrieve a video
+        Fetch the latest metadata for a generated video.
 
         Args:
           extra_headers: Send extra headers
@@ -578,7 +768,7 @@ async def retrieve(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return await self._get(
-            f"/videos/{video_id}",
+            path_template("/videos/{video_id}", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
@@ -599,7 +789,7 @@ def list(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> AsyncPaginator[Video, AsyncConversationCursorPage[Video]]:
         """
-        List videos
+        List recently generated videos for the current project.
 
         Args:
           after: Identifier for the last item from the previous pagination request
@@ -649,7 +839,7 @@ async def delete(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> VideoDeleteResponse:
         """
-        Delete a video
+        Permanently delete a completed or failed video and its stored assets.
 
         Args:
           extra_headers: Send extra headers
@@ -663,13 +853,62 @@ async def delete(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return await self._delete(
-            f"/videos/{video_id}",
+            path_template("/videos/{video_id}", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
             cast_to=VideoDeleteResponse,
         )
 
+    async def create_character(
+        self,
+        *,
+        name: str,
+        video: FileTypes,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> VideoCreateCharacterResponse:
+        """
+        Create a character from an uploaded video.
+
+        Args:
+          name: Display name for this API character.
+
+          video: Video file used to create a character.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "name": name,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return await self._post(
+            "/videos/characters",
+            body=await async_maybe_transform(body, video_create_character_params.VideoCreateCharacterParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VideoCreateCharacterResponse,
+        )
+
     async def download_content(
         self,
         video_id: str,
@@ -682,12 +921,13 @@ async def download_content(
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> _legacy_response.HttpxBinaryResponseContent:
-        """Download video content
+        """
+        Download the generated video bytes or a derived preview asset.
 
-        Args:
-          variant: Which downloadable asset to return.
+        Streams the rendered video content for the specified video job.
 
-        Defaults to the MP4 video.
+        Args:
+          variant: Which downloadable asset to return. Defaults to the MP4 video.
 
           extra_headers: Send extra headers
 
@@ -701,7 +941,7 @@ async def download_content(
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
         return await self._get(
-            f"/videos/{video_id}/content",
+            path_template("/videos/{video_id}/content", video_id=video_id),
             options=make_request_options(
                 extra_headers=extra_headers,
                 extra_query=extra_query,
@@ -714,6 +954,143 @@ async def download_content(
             cast_to=_legacy_response.HttpxBinaryResponseContent,
         )
 
+    async def edit(
+        self,
+        *,
+        prompt: str,
+        video: video_edit_params.Video,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Video:
+        """
+        Create a new video generation job by editing a source video or existing
+        generated video.
+
+        Args:
+          prompt: Text prompt that describes how to edit the source video.
+
+          video: Reference to the completed video to edit.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "prompt": prompt,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return await self._post(
+            "/videos/edits",
+            body=await async_maybe_transform(body, video_edit_params.VideoEditParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Video,
+        )
+
+    async def extend(
+        self,
+        *,
+        prompt: str,
+        seconds: VideoSeconds,
+        video: video_extend_params.Video,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> Video:
+        """
+        Create an extension of a completed video.
+
+        Args:
+          prompt: Updated text prompt that directs the extension generation.
+
+          seconds: Length of the newly generated extension segment in seconds (allowed values: 4,
+              8, 12, 16, 20).
+
+          video: Reference to the completed video to extend.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        body = deepcopy_minimal(
+            {
+                "prompt": prompt,
+                "seconds": seconds,
+                "video": video,
+            }
+        )
+        files = extract_files(cast(Mapping[str, object], body), paths=[["video"]])
+        # It should be noted that the actual Content-Type header that will be
+        # sent to the server will contain a `boundary` parameter, e.g.
+        # multipart/form-data; boundary=---abc--
+        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
+        return await self._post(
+            "/videos/extensions",
+            body=await async_maybe_transform(body, video_extend_params.VideoExtendParams),
+            files=files,
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=Video,
+        )
+
+    async def get_character(
+        self,
+        character_id: str,
+        *,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = not_given,
+    ) -> VideoGetCharacterResponse:
+        """
+        Fetch a character.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not character_id:
+            raise ValueError(f"Expected a non-empty value for `character_id` but received {character_id!r}")
+        return await self._get(
+            path_template("/videos/characters/{character_id}", character_id=character_id),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VideoGetCharacterResponse,
+        )
+
     async def remix(
         self,
         video_id: str,
@@ -727,7 +1104,7 @@ async def remix(
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
     ) -> Video:
         """
-        Create a video remix
+        Create a remix of a completed video using a refreshed prompt.
 
         Args:
           prompt: Updated text prompt that directs the remix generation.
@@ -743,7 +1120,7 @@ async def remix(
         if not video_id:
             raise ValueError(f"Expected a non-empty value for `video_id` but received {video_id!r}")
         return await self._post(
-            f"/videos/{video_id}/remix",
+            path_template("/videos/{video_id}/remix", video_id=video_id),
             body=await async_maybe_transform({"prompt": prompt}, video_remix_params.VideoRemixParams),
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
@@ -768,9 +1145,21 @@ def __init__(self, videos: Videos) -> None:
         self.delete = _legacy_response.to_raw_response_wrapper(
             videos.delete,
         )
+        self.create_character = _legacy_response.to_raw_response_wrapper(
+            videos.create_character,
+        )
         self.download_content = _legacy_response.to_raw_response_wrapper(
             videos.download_content,
         )
+        self.edit = _legacy_response.to_raw_response_wrapper(
+            videos.edit,
+        )
+        self.extend = _legacy_response.to_raw_response_wrapper(
+            videos.extend,
+        )
+        self.get_character = _legacy_response.to_raw_response_wrapper(
+            videos.get_character,
+        )
         self.remix = _legacy_response.to_raw_response_wrapper(
             videos.remix,
         )
@@ -792,9 +1181,21 @@ def __init__(self, videos: AsyncVideos) -> None:
         self.delete = _legacy_response.async_to_raw_response_wrapper(
             videos.delete,
         )
+        self.create_character = _legacy_response.async_to_raw_response_wrapper(
+            videos.create_character,
+        )
         self.download_content = _legacy_response.async_to_raw_response_wrapper(
             videos.download_content,
         )
+        self.edit = _legacy_response.async_to_raw_response_wrapper(
+            videos.edit,
+        )
+        self.extend = _legacy_response.async_to_raw_response_wrapper(
+            videos.extend,
+        )
+        self.get_character = _legacy_response.async_to_raw_response_wrapper(
+            videos.get_character,
+        )
         self.remix = _legacy_response.async_to_raw_response_wrapper(
             videos.remix,
         )
@@ -816,10 +1217,22 @@ def __init__(self, videos: Videos) -> None:
         self.delete = to_streamed_response_wrapper(
             videos.delete,
         )
+        self.create_character = to_streamed_response_wrapper(
+            videos.create_character,
+        )
         self.download_content = to_custom_streamed_response_wrapper(
             videos.download_content,
             StreamedBinaryAPIResponse,
         )
+        self.edit = to_streamed_response_wrapper(
+            videos.edit,
+        )
+        self.extend = to_streamed_response_wrapper(
+            videos.extend,
+        )
+        self.get_character = to_streamed_response_wrapper(
+            videos.get_character,
+        )
         self.remix = to_streamed_response_wrapper(
             videos.remix,
         )
@@ -841,10 +1254,22 @@ def __init__(self, videos: AsyncVideos) -> None:
         self.delete = async_to_streamed_response_wrapper(
             videos.delete,
         )
+        self.create_character = async_to_streamed_response_wrapper(
+            videos.create_character,
+        )
         self.download_content = async_to_custom_streamed_response_wrapper(
             videos.download_content,
             AsyncStreamedBinaryAPIResponse,
         )
+        self.edit = async_to_streamed_response_wrapper(
+            videos.edit,
+        )
+        self.extend = async_to_streamed_response_wrapper(
+            videos.extend,
+        )
+        self.get_character = async_to_streamed_response_wrapper(
+            videos.get_character,
+        )
         self.remix = async_to_streamed_response_wrapper(
             videos.remix,
         )
diff --git a/portkey_ai/_vendor/openai/resources/webhooks/__init__.py b/portkey_ai/_vendor/openai/resources/webhooks/__init__.py
new file mode 100644
index 00000000..66449ee7
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/webhooks/__init__.py
@@ -0,0 +1,14 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from .webhooks import Webhooks as _Webhooks, AsyncWebhooks as _AsyncWebhooks
+
+
+class Webhooks(_Webhooks):
+    pass
+
+
+class AsyncWebhooks(_AsyncWebhooks):
+    pass
+
+
+__all__ = ["Webhooks", "AsyncWebhooks"]
diff --git a/portkey_ai/_vendor/openai/resources/webhooks/api.md b/portkey_ai/_vendor/openai/resources/webhooks/api.md
new file mode 100644
index 00000000..8e3c312e
--- /dev/null
+++ b/portkey_ai/_vendor/openai/resources/webhooks/api.md
@@ -0,0 +1,24 @@
+# Webhooks
+
+Types:
+
+```python
+from openai.types.webhooks import (
+    BatchCancelledWebhookEvent,
+    BatchCompletedWebhookEvent,
+    BatchExpiredWebhookEvent,
+    BatchFailedWebhookEvent,
+    EvalRunCanceledWebhookEvent,
+    EvalRunFailedWebhookEvent,
+    EvalRunSucceededWebhookEvent,
+    FineTuningJobCancelledWebhookEvent,
+    FineTuningJobFailedWebhookEvent,
+    FineTuningJobSucceededWebhookEvent,
+    RealtimeCallIncomingWebhookEvent,
+    ResponseCancelledWebhookEvent,
+    ResponseCompletedWebhookEvent,
+    ResponseFailedWebhookEvent,
+    ResponseIncompleteWebhookEvent,
+    UnwrapWebhookEvent,
+)
+```
diff --git a/portkey_ai/_vendor/openai/resources/webhooks.py b/portkey_ai/_vendor/openai/resources/webhooks/webhooks.py
similarity index 96%
rename from portkey_ai/_vendor/openai/resources/webhooks.py
rename to portkey_ai/_vendor/openai/resources/webhooks/webhooks.py
index 3e13d3fa..8d99568a 100644
--- a/portkey_ai/_vendor/openai/resources/webhooks.py
+++ b/portkey_ai/_vendor/openai/resources/webhooks/webhooks.py
@@ -9,12 +9,12 @@
 import hashlib
 from typing import cast
 
-from .._types import HeadersLike
-from .._utils import get_required_header
-from .._models import construct_type
-from .._resource import SyncAPIResource, AsyncAPIResource
-from .._exceptions import InvalidWebhookSignatureError
-from ..types.webhooks.unwrap_webhook_event import UnwrapWebhookEvent
+from ..._types import HeadersLike
+from ..._utils import get_required_header
+from ..._models import construct_type
+from ..._resource import SyncAPIResource, AsyncAPIResource
+from ..._exceptions import InvalidWebhookSignatureError
+from ...types.webhooks.unwrap_webhook_event import UnwrapWebhookEvent
 
 __all__ = ["Webhooks", "AsyncWebhooks"]
 
diff --git a/portkey_ai/_vendor/openai/types/__init__.py b/portkey_ai/_vendor/openai/types/__init__.py
index 5eb267e8..d8dbea71 100644
--- a/portkey_ai/_vendor/openai/types/__init__.py
+++ b/portkey_ai/_vendor/openai/types/__init__.py
@@ -5,6 +5,7 @@
 from .batch import Batch as Batch
 from .image import Image as Image
 from .model import Model as Model
+from .skill import Skill as Skill
 from .video import Video as Video
 from .shared import (
     Metadata as Metadata,
@@ -30,6 +31,7 @@
 from .chat_model import ChatModel as ChatModel
 from .completion import Completion as Completion
 from .moderation import Moderation as Moderation
+from .skill_list import SkillList as SkillList
 from .video_size import VideoSize as VideoSize
 from .audio_model import AudioModel as AudioModel
 from .batch_error import BatchError as BatchError
@@ -41,6 +43,7 @@
 from .file_deleted import FileDeleted as FileDeleted
 from .file_purpose import FilePurpose as FilePurpose
 from .vector_store import VectorStore as VectorStore
+from .deleted_skill import DeletedSkill as DeletedSkill
 from .model_deleted import ModelDeleted as ModelDeleted
 from .video_seconds import VideoSeconds as VideoSeconds
 from .embedding_model import EmbeddingModel as EmbeddingModel
@@ -52,6 +55,8 @@
 from .batch_list_params import BatchListParams as BatchListParams
 from .completion_choice import CompletionChoice as CompletionChoice
 from .image_edit_params import ImageEditParams as ImageEditParams
+from .skill_list_params import SkillListParams as SkillListParams
+from .video_edit_params import VideoEditParams as VideoEditParams
 from .video_list_params import VideoListParams as VideoListParams
 from .video_model_param import VideoModelParam as VideoModelParam
 from .eval_create_params import EvalCreateParams as EvalCreateParams
@@ -61,7 +66,10 @@
 from .video_create_error import VideoCreateError as VideoCreateError
 from .video_remix_params import VideoRemixParams as VideoRemixParams
 from .batch_create_params import BatchCreateParams as BatchCreateParams
+from .skill_create_params import SkillCreateParams as SkillCreateParams
+from .skill_update_params import SkillUpdateParams as SkillUpdateParams
 from .video_create_params import VideoCreateParams as VideoCreateParams
+from .video_extend_params import VideoExtendParams as VideoExtendParams
 from .batch_request_counts import BatchRequestCounts as BatchRequestCounts
 from .eval_create_response import EvalCreateResponse as EvalCreateResponse
 from .eval_delete_response import EvalDeleteResponse as EvalDeleteResponse
@@ -92,16 +100,23 @@
 from .vector_store_search_params import VectorStoreSearchParams as VectorStoreSearchParams
 from .vector_store_update_params import VectorStoreUpdateParams as VectorStoreUpdateParams
 from .container_retrieve_response import ContainerRetrieveResponse as ContainerRetrieveResponse
+from .image_input_reference_param import ImageInputReferenceParam as ImageInputReferenceParam
 from .moderation_text_input_param import ModerationTextInputParam as ModerationTextInputParam
 from .file_chunking_strategy_param import FileChunkingStrategyParam as FileChunkingStrategyParam
 from .vector_store_search_response import VectorStoreSearchResponse as VectorStoreSearchResponse
-from .websocket_connection_options import WebsocketConnectionOptions as WebsocketConnectionOptions
+from .video_get_character_response import VideoGetCharacterResponse as VideoGetCharacterResponse
+from .websocket_connection_options import (
+    WebSocketConnectionOptions as WebSocketConnectionOptions,
+    WebsocketConnectionOptions as WebsocketConnectionOptions,
+)
 from .image_create_variation_params import ImageCreateVariationParams as ImageCreateVariationParams
 from .image_gen_partial_image_event import ImageGenPartialImageEvent as ImageGenPartialImageEvent
 from .static_file_chunking_strategy import StaticFileChunkingStrategy as StaticFileChunkingStrategy
+from .video_create_character_params import VideoCreateCharacterParams as VideoCreateCharacterParams
 from .video_download_content_params import VideoDownloadContentParams as VideoDownloadContentParams
 from .eval_custom_data_source_config import EvalCustomDataSourceConfig as EvalCustomDataSourceConfig
 from .image_edit_partial_image_event import ImageEditPartialImageEvent as ImageEditPartialImageEvent
+from .video_create_character_response import VideoCreateCharacterResponse as VideoCreateCharacterResponse
 from .moderation_image_url_input_param import ModerationImageURLInputParam as ModerationImageURLInputParam
 from .auto_file_chunking_strategy_param import AutoFileChunkingStrategyParam as AutoFileChunkingStrategyParam
 from .moderation_multi_modal_input_param import ModerationMultiModalInputParam as ModerationMultiModalInputParam
diff --git a/portkey_ai/_vendor/openai/types/audio/speech_create_params.py b/portkey_ai/_vendor/openai/types/audio/speech_create_params.py
index 417df5b2..1c0472ea 100644
--- a/portkey_ai/_vendor/openai/types/audio/speech_create_params.py
+++ b/portkey_ai/_vendor/openai/types/audio/speech_create_params.py
@@ -3,11 +3,11 @@
 from __future__ import annotations
 
 from typing import Union
-from typing_extensions import Literal, Required, TypedDict
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .speech_model import SpeechModel
 
-__all__ = ["SpeechCreateParams"]
+__all__ = ["SpeechCreateParams", "Voice", "VoiceID"]
 
 
 class SpeechCreateParams(TypedDict, total=False):
@@ -20,14 +20,13 @@ class SpeechCreateParams(TypedDict, total=False):
     `tts-1`, `tts-1-hd`, `gpt-4o-mini-tts`, or `gpt-4o-mini-tts-2025-12-15`.
     """
 
-    voice: Required[
-        Union[str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]]
-    ]
+    voice: Required[Voice]
     """The voice to use when generating the audio.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`,
-    `fable`, `onyx`, `nova`, `sage`, `shimmer`, `verse`, `marin`, and `cedar`.
-    Previews of the voices are available in the
+    `fable`, `onyx`, `nova`, `sage`, `shimmer`, `verse`, `marin`, and `cedar`. You
+    may also provide a custom voice object with an `id`, for example
+    `{ "id": "voice_1234" }`. Previews of the voices are available in the
     [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
     """
 
@@ -55,3 +54,15 @@ class SpeechCreateParams(TypedDict, total=False):
     Supported formats are `sse` and `audio`. `sse` is not supported for `tts-1` or
     `tts-1-hd`.
     """
+
+
+class VoiceID(TypedDict, total=False):
+    """Custom voice reference."""
+
+    id: Required[str]
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+Voice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], VoiceID
+]
diff --git a/portkey_ai/_vendor/openai/types/batch_create_params.py b/portkey_ai/_vendor/openai/types/batch_create_params.py
index 1088aab3..97bd2c67 100644
--- a/portkey_ai/_vendor/openai/types/batch_create_params.py
+++ b/portkey_ai/_vendor/openai/types/batch_create_params.py
@@ -18,14 +18,24 @@ class BatchCreateParams(TypedDict, total=False):
     """
 
     endpoint: Required[
-        Literal["/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions", "/v1/moderations"]
+        Literal[
+            "/v1/responses",
+            "/v1/chat/completions",
+            "/v1/embeddings",
+            "/v1/completions",
+            "/v1/moderations",
+            "/v1/images/generations",
+            "/v1/images/edits",
+            "/v1/videos",
+        ]
     ]
     """The endpoint to be used for all requests in the batch.
 
     Currently `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`,
-    `/v1/completions`, and `/v1/moderations` are supported. Note that
-    `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding
-    inputs across all requests in the batch.
+    `/v1/completions`, `/v1/moderations`, `/v1/images/generations`,
+    `/v1/images/edits`, and `/v1/videos` are supported. Note that `/v1/embeddings`
+    batches are also restricted to a maximum of 50,000 embedding inputs across all
+    requests in the batch.
     """
 
     input_file_id: Required[str]
diff --git a/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py b/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py
index 461d871a..5a468a35 100644
--- a/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py
+++ b/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py
@@ -187,8 +187,9 @@ class ToolResourcesFileSearchVectorStore(TypedDict, total=False):
     file_ids: SequenceNotStr[str]
     """
     A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-    add to the vector store. There can be a maximum of 10000 files in a vector
-    store.
+    add to the vector store. For vector stores created before Nov 2025, there can be
+    a maximum of 10,000 files in a vector store. For vector stores created starting
+    in Nov 2025, the limit is 100,000,000 files.
     """
 
     metadata: Optional[Metadata]
diff --git a/portkey_ai/_vendor/openai/types/beta/thread_create_and_run_params.py b/portkey_ai/_vendor/openai/types/beta/thread_create_and_run_params.py
index c0aee3e9..3d3d5d4f 100644
--- a/portkey_ai/_vendor/openai/types/beta/thread_create_and_run_params.py
+++ b/portkey_ai/_vendor/openai/types/beta/thread_create_and_run_params.py
@@ -274,8 +274,9 @@ class ThreadToolResourcesFileSearchVectorStore(TypedDict, total=False):
     file_ids: SequenceNotStr[str]
     """
     A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-    add to the vector store. There can be a maximum of 10000 files in a vector
-    store.
+    add to the vector store. For vector stores created before Nov 2025, there can be
+    a maximum of 10,000 files in a vector store. For vector stores created starting
+    in Nov 2025, the limit is 100,000,000 files.
     """
 
     metadata: Optional[Metadata]
diff --git a/portkey_ai/_vendor/openai/types/beta/thread_create_params.py b/portkey_ai/_vendor/openai/types/beta/thread_create_params.py
index ef83e3d4..b823d1c2 100644
--- a/portkey_ai/_vendor/openai/types/beta/thread_create_params.py
+++ b/portkey_ai/_vendor/openai/types/beta/thread_create_params.py
@@ -152,8 +152,9 @@ class ToolResourcesFileSearchVectorStore(TypedDict, total=False):
     file_ids: SequenceNotStr[str]
     """
     A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-    add to the vector store. There can be a maximum of 10000 files in a vector
-    store.
+    add to the vector store. For vector stores created before Nov 2025, there can be
+    a maximum of 10,000 files in a vector store. For vector stores created starting
+    in Nov 2025, the limit is 100,000,000 files.
     """
 
     metadata: Optional[Metadata]
diff --git a/portkey_ai/_vendor/openai/types/chat/chat_completion_audio_param.py b/portkey_ai/_vendor/openai/types/chat/chat_completion_audio_param.py
index 1a73bb0c..fe64ba49 100644
--- a/portkey_ai/_vendor/openai/types/chat/chat_completion_audio_param.py
+++ b/portkey_ai/_vendor/openai/types/chat/chat_completion_audio_param.py
@@ -3,9 +3,21 @@
 from __future__ import annotations
 
 from typing import Union
-from typing_extensions import Literal, Required, TypedDict
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
-__all__ = ["ChatCompletionAudioParam"]
+__all__ = ["ChatCompletionAudioParam", "Voice", "VoiceID"]
+
+
+class VoiceID(TypedDict, total=False):
+    """Custom voice reference."""
+
+    id: Required[str]
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+Voice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], VoiceID
+]
 
 
 class ChatCompletionAudioParam(TypedDict, total=False):
@@ -21,11 +33,11 @@ class ChatCompletionAudioParam(TypedDict, total=False):
     Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`.
     """
 
-    voice: Required[
-        Union[str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]]
-    ]
+    voice: Required[Voice]
     """The voice the model uses to respond.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`,
-    `fable`, `nova`, `onyx`, `sage`, `shimmer`, `marin`, and `cedar`.
+    `fable`, `nova`, `onyx`, `sage`, `shimmer`, `marin`, and `cedar`. You may also
+    provide a custom voice object with an `id`, for example
+    `{ "id": "voice_1234" }`.
     """
diff --git a/portkey_ai/_vendor/openai/types/chat/completion_create_params.py b/portkey_ai/_vendor/openai/types/chat/completion_create_params.py
index 49cefb95..8e71ccbe 100644
--- a/portkey_ai/_vendor/openai/types/chat/completion_create_params.py
+++ b/portkey_ai/_vendor/openai/types/chat/completion_create_params.py
@@ -227,8 +227,9 @@ class CompletionCreateParamsBase(TypedDict, total=False):
     """
     A stable identifier used to help detect users of your application that may be
     violating OpenAI's usage policies. The IDs should be a string that uniquely
-    identifies each user. We recommend hashing their username or email address, in
-    order to avoid sending us any identifying information.
+    identifies each user, with a maximum length of 64 characters. We recommend
+    hashing their username or email address, in order to avoid sending us any
+    identifying information.
     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
     """
 
diff --git a/portkey_ai/_vendor/openai/types/chat/completion_list_params.py b/portkey_ai/_vendor/openai/types/chat/completion_list_params.py
index 32bd3f5c..d93da834 100644
--- a/portkey_ai/_vendor/openai/types/chat/completion_list_params.py
+++ b/portkey_ai/_vendor/openai/types/chat/completion_list_params.py
@@ -18,13 +18,9 @@ class CompletionListParams(TypedDict, total=False):
     """Number of Chat Completions to retrieve."""
 
     metadata: Optional[Metadata]
-    """Set of 16 key-value pairs that can be attached to an object.
+    """A list of metadata keys to filter the Chat Completions by. Example:
 
-    This can be useful for storing additional information about the object in a
-    structured format, and querying for objects via API or the dashboard.
-
-    Keys are strings with a maximum length of 64 characters. Values are strings with
-    a maximum length of 512 characters.
+    `metadata[key1]=value1&metadata[key2]=value2`
     """
 
     model: str
diff --git a/portkey_ai/_vendor/openai/types/container_create_params.py b/portkey_ai/_vendor/openai/types/container_create_params.py
index 47101ecd..63d28f39 100644
--- a/portkey_ai/_vendor/openai/types/container_create_params.py
+++ b/portkey_ai/_vendor/openai/types/container_create_params.py
@@ -2,11 +2,16 @@
 
 from __future__ import annotations
 
-from typing_extensions import Literal, Required, TypedDict
+from typing import Union, Iterable
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .._types import SequenceNotStr
+from .responses.inline_skill_param import InlineSkillParam
+from .responses.skill_reference_param import SkillReferenceParam
+from .responses.container_network_policy_disabled_param import ContainerNetworkPolicyDisabledParam
+from .responses.container_network_policy_allowlist_param import ContainerNetworkPolicyAllowlistParam
 
-__all__ = ["ContainerCreateParams", "ExpiresAfter"]
+__all__ = ["ContainerCreateParams", "ExpiresAfter", "NetworkPolicy", "Skill"]
 
 
 class ContainerCreateParams(TypedDict, total=False):
@@ -22,6 +27,12 @@ class ContainerCreateParams(TypedDict, total=False):
     memory_limit: Literal["1g", "4g", "16g", "64g"]
     """Optional memory limit for the container. Defaults to "1g"."""
 
+    network_policy: NetworkPolicy
+    """Network access policy for the container."""
+
+    skills: Iterable[Skill]
+    """An optional list of skills referenced by id or inline data."""
+
 
 class ExpiresAfter(TypedDict, total=False):
     """Container expiration time in seconds relative to the 'anchor' time."""
@@ -33,3 +44,8 @@ class ExpiresAfter(TypedDict, total=False):
     """
 
     minutes: Required[int]
+
+
+NetworkPolicy: TypeAlias = Union[ContainerNetworkPolicyDisabledParam, ContainerNetworkPolicyAllowlistParam]
+
+Skill: TypeAlias = Union[SkillReferenceParam, InlineSkillParam]
diff --git a/portkey_ai/_vendor/openai/types/container_create_response.py b/portkey_ai/_vendor/openai/types/container_create_response.py
index 0ebcc040..34bc56ad 100644
--- a/portkey_ai/_vendor/openai/types/container_create_response.py
+++ b/portkey_ai/_vendor/openai/types/container_create_response.py
@@ -1,11 +1,11 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Optional
+from typing import List, Optional
 from typing_extensions import Literal
 
 from .._models import BaseModel
 
-__all__ = ["ContainerCreateResponse", "ExpiresAfter"]
+__all__ = ["ContainerCreateResponse", "ExpiresAfter", "NetworkPolicy"]
 
 
 class ExpiresAfter(BaseModel):
@@ -22,6 +22,16 @@ class ExpiresAfter(BaseModel):
     """The number of minutes after the anchor before the container expires."""
 
 
+class NetworkPolicy(BaseModel):
+    """Network access policy for the container."""
+
+    type: Literal["allowlist", "disabled"]
+    """The network policy mode."""
+
+    allowed_domains: Optional[List[str]] = None
+    """Allowed outbound domains when `type` is `allowlist`."""
+
+
 class ContainerCreateResponse(BaseModel):
     id: str
     """Unique identifier for the container."""
@@ -50,3 +60,6 @@ class ContainerCreateResponse(BaseModel):
 
     memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None
     """The memory limit configured for the container."""
+
+    network_policy: Optional[NetworkPolicy] = None
+    """Network access policy for the container."""
diff --git a/portkey_ai/_vendor/openai/types/container_list_params.py b/portkey_ai/_vendor/openai/types/container_list_params.py
index 4821a87d..01ec43af 100644
--- a/portkey_ai/_vendor/openai/types/container_list_params.py
+++ b/portkey_ai/_vendor/openai/types/container_list_params.py
@@ -23,6 +23,9 @@ class ContainerListParams(TypedDict, total=False):
     Limit can range between 1 and 100, and the default is 20.
     """
 
+    name: str
+    """Filter results by container name."""
+
     order: Literal["asc", "desc"]
     """Sort order by the `created_at` timestamp of the objects.
 
diff --git a/portkey_ai/_vendor/openai/types/container_list_response.py b/portkey_ai/_vendor/openai/types/container_list_response.py
index 8f395482..bf572acd 100644
--- a/portkey_ai/_vendor/openai/types/container_list_response.py
+++ b/portkey_ai/_vendor/openai/types/container_list_response.py
@@ -1,11 +1,11 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Optional
+from typing import List, Optional
 from typing_extensions import Literal
 
 from .._models import BaseModel
 
-__all__ = ["ContainerListResponse", "ExpiresAfter"]
+__all__ = ["ContainerListResponse", "ExpiresAfter", "NetworkPolicy"]
 
 
 class ExpiresAfter(BaseModel):
@@ -22,6 +22,16 @@ class ExpiresAfter(BaseModel):
     """The number of minutes after the anchor before the container expires."""
 
 
+class NetworkPolicy(BaseModel):
+    """Network access policy for the container."""
+
+    type: Literal["allowlist", "disabled"]
+    """The network policy mode."""
+
+    allowed_domains: Optional[List[str]] = None
+    """Allowed outbound domains when `type` is `allowlist`."""
+
+
 class ContainerListResponse(BaseModel):
     id: str
     """Unique identifier for the container."""
@@ -50,3 +60,6 @@ class ContainerListResponse(BaseModel):
 
     memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None
     """The memory limit configured for the container."""
+
+    network_policy: Optional[NetworkPolicy] = None
+    """Network access policy for the container."""
diff --git a/portkey_ai/_vendor/openai/types/container_retrieve_response.py b/portkey_ai/_vendor/openai/types/container_retrieve_response.py
index 9ba3e18c..b5a6d350 100644
--- a/portkey_ai/_vendor/openai/types/container_retrieve_response.py
+++ b/portkey_ai/_vendor/openai/types/container_retrieve_response.py
@@ -1,11 +1,11 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Optional
+from typing import List, Optional
 from typing_extensions import Literal
 
 from .._models import BaseModel
 
-__all__ = ["ContainerRetrieveResponse", "ExpiresAfter"]
+__all__ = ["ContainerRetrieveResponse", "ExpiresAfter", "NetworkPolicy"]
 
 
 class ExpiresAfter(BaseModel):
@@ -22,6 +22,16 @@ class ExpiresAfter(BaseModel):
     """The number of minutes after the anchor before the container expires."""
 
 
+class NetworkPolicy(BaseModel):
+    """Network access policy for the container."""
+
+    type: Literal["allowlist", "disabled"]
+    """The network policy mode."""
+
+    allowed_domains: Optional[List[str]] = None
+    """Allowed outbound domains when `type` is `allowlist`."""
+
+
 class ContainerRetrieveResponse(BaseModel):
     id: str
     """Unique identifier for the container."""
@@ -50,3 +60,6 @@ class ContainerRetrieveResponse(BaseModel):
 
     memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None
     """The memory limit configured for the container."""
+
+    network_policy: Optional[NetworkPolicy] = None
+    """Network access policy for the container."""
diff --git a/portkey_ai/_vendor/openai/types/conversations/computer_screenshot_content.py b/portkey_ai/_vendor/openai/types/conversations/computer_screenshot_content.py
index e42096eb..ff43a7e5 100644
--- a/portkey_ai/_vendor/openai/types/conversations/computer_screenshot_content.py
+++ b/portkey_ai/_vendor/openai/types/conversations/computer_screenshot_content.py
@@ -11,6 +11,12 @@
 class ComputerScreenshotContent(BaseModel):
     """A screenshot of a computer."""
 
+    detail: Literal["low", "high", "auto", "original"]
+    """The detail level of the screenshot image to be sent to the model.
+
+    One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.
+    """
+
     file_id: Optional[str] = None
     """The identifier of an uploaded file that contains the screenshot."""
 
diff --git a/portkey_ai/_vendor/openai/types/conversations/conversation_item.py b/portkey_ai/_vendor/openai/types/conversations/conversation_item.py
index 46268d38..52e87ccb 100644
--- a/portkey_ai/_vendor/openai/types/conversations/conversation_item.py
+++ b/portkey_ai/_vendor/openai/types/conversations/conversation_item.py
@@ -7,13 +7,16 @@
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from ..responses.response_reasoning_item import ResponseReasoningItem
+from ..responses.response_compaction_item import ResponseCompactionItem
 from ..responses.response_custom_tool_call import ResponseCustomToolCall
+from ..responses.response_tool_search_call import ResponseToolSearchCall
 from ..responses.response_computer_tool_call import ResponseComputerToolCall
 from ..responses.response_function_web_search import ResponseFunctionWebSearch
 from ..responses.response_apply_patch_tool_call import ResponseApplyPatchToolCall
 from ..responses.response_file_search_tool_call import ResponseFileSearchToolCall
 from ..responses.response_custom_tool_call_output import ResponseCustomToolCallOutput
 from ..responses.response_function_tool_call_item import ResponseFunctionToolCallItem
+from ..responses.response_tool_search_output_item import ResponseToolSearchOutputItem
 from ..responses.response_function_shell_tool_call import ResponseFunctionShellToolCall
 from ..responses.response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
 from ..responses.response_apply_patch_tool_call_output import ResponseApplyPatchToolCallOutput
@@ -229,7 +232,10 @@ class McpCall(BaseModel):
         ImageGenerationCall,
         ResponseComputerToolCall,
         ResponseComputerToolCallOutputItem,
+        ResponseToolSearchCall,
+        ResponseToolSearchOutputItem,
         ResponseReasoningItem,
+        ResponseCompactionItem,
         ResponseCodeInterpreterToolCall,
         LocalShellCall,
         LocalShellCallOutput,
diff --git a/portkey_ai/_vendor/openai/types/deleted_skill.py b/portkey_ai/_vendor/openai/types/deleted_skill.py
new file mode 100644
index 00000000..6f02f58c
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/deleted_skill.py
@@ -0,0 +1,15 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from .._models import BaseModel
+
+__all__ = ["DeletedSkill"]
+
+
+class DeletedSkill(BaseModel):
+    id: str
+
+    deleted: bool
+
+    object: Literal["skill.deleted"]
diff --git a/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/__init__.py b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/__init__.py
index 2947b331..5447b4d8 100644
--- a/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/__init__.py
+++ b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/__init__.py
@@ -2,7 +2,9 @@
 
 from __future__ import annotations
 
+from .permission_list_params import PermissionListParams as PermissionListParams
 from .permission_create_params import PermissionCreateParams as PermissionCreateParams
+from .permission_list_response import PermissionListResponse as PermissionListResponse
 from .permission_create_response import PermissionCreateResponse as PermissionCreateResponse
 from .permission_delete_response import PermissionDeleteResponse as PermissionDeleteResponse
 from .permission_retrieve_params import PermissionRetrieveParams as PermissionRetrieveParams
diff --git a/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_params.py b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_params.py
new file mode 100644
index 00000000..1f389920
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_params.py
@@ -0,0 +1,21 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, TypedDict
+
+__all__ = ["PermissionListParams"]
+
+
+class PermissionListParams(TypedDict, total=False):
+    after: str
+    """Identifier for the last permission ID from the previous pagination request."""
+
+    limit: int
+    """Number of permissions to retrieve."""
+
+    order: Literal["ascending", "descending"]
+    """The order in which to retrieve permissions."""
+
+    project_id: str
+    """The ID of the project to get permissions for."""
diff --git a/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_response.py b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_response.py
new file mode 100644
index 00000000..26e913e0
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/fine_tuning/checkpoints/permission_list_response.py
@@ -0,0 +1,25 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ...._models import BaseModel
+
+__all__ = ["PermissionListResponse"]
+
+
+class PermissionListResponse(BaseModel):
+    """
+    The `checkpoint.permission` object represents a permission for a fine-tuned model checkpoint.
+    """
+
+    id: str
+    """The permission identifier, which can be referenced in the API endpoints."""
+
+    created_at: int
+    """The Unix timestamp (in seconds) for when the permission was created."""
+
+    object: Literal["checkpoint.permission"]
+    """The object type, which is always "checkpoint.permission"."""
+
+    project_id: str
+    """The project identifier that the permission is for."""
diff --git a/portkey_ai/_vendor/openai/types/image_edit_params.py b/portkey_ai/_vendor/openai/types/image_edit_params.py
index 0bd5f39f..05f3401d 100644
--- a/portkey_ai/_vendor/openai/types/image_edit_params.py
+++ b/portkey_ai/_vendor/openai/types/image_edit_params.py
@@ -17,7 +17,8 @@ class ImageEditParamsBase(TypedDict, total=False):
 
     For the GPT image models (`gpt-image-1`, `gpt-image-1-mini`, and
     `gpt-image-1.5`), each image should be a `png`, `webp`, or `jpg` file less than
-    50MB. You can provide up to 16 images.
+    50MB. You can provide up to 16 images. `chatgpt-image-latest` follows the same
+    input constraints as GPT image models.
 
     For `dall-e-2`, you can only provide one image, and it should be a square `png`
     file less than 4MB.
@@ -45,8 +46,8 @@ class ImageEditParamsBase(TypedDict, total=False):
     """
     Control how much effort the model will exert to match the style and features,
     especially facial features, of input images. This parameter is only supported
-    for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-    `low`. Defaults to `low`.
+    for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+    `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
     """
 
     mask: FileTypes
@@ -58,11 +59,7 @@ class ImageEditParamsBase(TypedDict, total=False):
     """
 
     model: Union[str, ImageModel, None]
-    """The model to use for image generation.
-
-    Only `dall-e-2` and the GPT image models are supported. Defaults to `dall-e-2`
-    unless a parameter specific to the GPT image models is used.
-    """
+    """The model to use for image generation. Defaults to `gpt-image-1.5`."""
 
     n: Optional[int]
     """The number of images to generate. Must be between 1 and 10."""
@@ -93,18 +90,18 @@ class ImageEditParamsBase(TypedDict, total=False):
     """
 
     quality: Optional[Literal["standard", "low", "medium", "high", "auto"]]
-    """The quality of the image that will be generated.
+    """The quality of the image that will be generated for GPT image models.
 
-    `high`, `medium` and `low` are only supported for the GPT image models.
-    `dall-e-2` only supports `standard` quality. Defaults to `auto`.
+    Defaults to `auto`.
     """
 
     response_format: Optional[Literal["url", "b64_json"]]
     """The format in which the generated images are returned.
 
     Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the
-    image has been generated. This parameter is only supported for `dall-e-2`, as
-    the GPT image models always return base64-encoded images.
+    image has been generated. This parameter is only supported for `dall-e-2`
+    (default is `url` for `dall-e-2`), as GPT image models always return
+    base64-encoded images.
     """
 
     size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]]
diff --git a/portkey_ai/_vendor/openai/types/image_input_reference_param.py b/portkey_ai/_vendor/openai/types/image_input_reference_param.py
new file mode 100644
index 00000000..10656329
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/image_input_reference_param.py
@@ -0,0 +1,14 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import TypedDict
+
+__all__ = ["ImageInputReferenceParam"]
+
+
+class ImageInputReferenceParam(TypedDict, total=False):
+    file_id: str
+
+    image_url: str
+    """A fully qualified URL or base64-encoded data URL."""
diff --git a/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py b/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py
index d950f59f..6d8caf93 100644
--- a/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py
+++ b/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py
@@ -56,6 +56,7 @@ class CallAcceptParams(TypedDict, total=False):
         str,
         Literal[
             "gpt-realtime",
+            "gpt-realtime-1.5",
             "gpt-realtime-2025-08-28",
             "gpt-4o-realtime-preview",
             "gpt-4o-realtime-preview-2024-10-01",
@@ -66,6 +67,7 @@ class CallAcceptParams(TypedDict, total=False):
             "gpt-realtime-mini",
             "gpt-realtime-mini-2025-10-06",
             "gpt-realtime-mini-2025-12-15",
+            "gpt-audio-1.5",
             "gpt-audio-mini",
             "gpt-audio-mini-2025-10-06",
             "gpt-audio-mini-2025-12-15",
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output.py b/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output.py
index 2922405f..143cef67 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output.py
@@ -1,12 +1,24 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 from typing import Union, Optional
-from typing_extensions import Literal
+from typing_extensions import Literal, TypeAlias
 
 from ..._models import BaseModel
 from .realtime_audio_formats import RealtimeAudioFormats
 
-__all__ = ["RealtimeAudioConfigOutput"]
+__all__ = ["RealtimeAudioConfigOutput", "Voice", "VoiceID"]
+
+
+class VoiceID(BaseModel):
+    """Custom voice reference."""
+
+    id: str
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+Voice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], VoiceID
+]
 
 
 class RealtimeAudioConfigOutput(BaseModel):
@@ -24,13 +36,12 @@ class RealtimeAudioConfigOutput(BaseModel):
     generated, it's also possible to prompt the model to speak faster or slower.
     """
 
-    voice: Union[
-        str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], None
-    ] = None
+    voice: Optional[Voice] = None
     """The voice the model uses to respond.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`, `sage`,
-    `shimmer`, `verse`, `marin`, and `cedar`. Voice cannot be changed during the
-    session once the model has responded with audio at least once. We recommend
-    `marin` and `cedar` for best quality.
+    `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+    object with an `id`, for example `{ "id": "voice_1234" }`. Voice cannot be
+    changed during the session once the model has responded with audio at least
+    once. We recommend `marin` and `cedar` for best quality.
     """
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output_param.py
index d04fd3a3..5d920f69 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_audio_config_output_param.py
@@ -3,11 +3,23 @@
 from __future__ import annotations
 
 from typing import Union
-from typing_extensions import Literal, TypedDict
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .realtime_audio_formats_param import RealtimeAudioFormatsParam
 
-__all__ = ["RealtimeAudioConfigOutputParam"]
+__all__ = ["RealtimeAudioConfigOutputParam", "Voice", "VoiceID"]
+
+
+class VoiceID(TypedDict, total=False):
+    """Custom voice reference."""
+
+    id: Required[str]
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+Voice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], VoiceID
+]
 
 
 class RealtimeAudioConfigOutputParam(TypedDict, total=False):
@@ -25,11 +37,12 @@ class RealtimeAudioConfigOutputParam(TypedDict, total=False):
     generated, it's also possible to prompt the model to speak faster or slower.
     """
 
-    voice: Union[str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]]
+    voice: Voice
     """The voice the model uses to respond.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`, `sage`,
-    `shimmer`, `verse`, `marin`, and `cedar`. Voice cannot be changed during the
-    session once the model has responded with audio at least once. We recommend
-    `marin` and `cedar` for best quality.
+    `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+    object with an `id`, for example `{ "id": "voice_1234" }`. Voice cannot be
+    changed during the session once the model has responded with audio at least
+    once. We recommend `marin` and `cedar` for best quality.
     """
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output.py b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output.py
index db02511a..78483572 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output.py
@@ -1,26 +1,38 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 from typing import Union, Optional
-from typing_extensions import Literal
+from typing_extensions import Literal, TypeAlias
 
 from ..._models import BaseModel
 from .realtime_audio_formats import RealtimeAudioFormats
 
-__all__ = ["RealtimeResponseCreateAudioOutput", "Output"]
+__all__ = ["RealtimeResponseCreateAudioOutput", "Output", "OutputVoice", "OutputVoiceID"]
+
+
+class OutputVoiceID(BaseModel):
+    """Custom voice reference."""
+
+    id: str
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+OutputVoice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], OutputVoiceID
+]
 
 
 class Output(BaseModel):
     format: Optional[RealtimeAudioFormats] = None
     """The format of the output audio."""
 
-    voice: Union[
-        str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], None
-    ] = None
+    voice: Optional[OutputVoice] = None
     """The voice the model uses to respond.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`, `sage`,
-    `shimmer`, `verse`, `marin`, and `cedar`. Voice cannot be changed during the
-    session once the model has responded with audio at least once.
+    `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+    object with an `id`, for example `{ "id": "voice_1234" }`. Voice cannot be
+    changed during the session once the model has responded with audio at least
+    once. We recommend `marin` and `cedar` for best quality.
     """
 
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output_param.py
index 22787ad1..bb930f54 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_audio_output_param.py
@@ -3,23 +3,37 @@
 from __future__ import annotations
 
 from typing import Union
-from typing_extensions import Literal, TypedDict
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .realtime_audio_formats_param import RealtimeAudioFormatsParam
 
-__all__ = ["RealtimeResponseCreateAudioOutputParam", "Output"]
+__all__ = ["RealtimeResponseCreateAudioOutputParam", "Output", "OutputVoice", "OutputVoiceID"]
+
+
+class OutputVoiceID(TypedDict, total=False):
+    """Custom voice reference."""
+
+    id: Required[str]
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+OutputVoice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], OutputVoiceID
+]
 
 
 class Output(TypedDict, total=False):
     format: RealtimeAudioFormatsParam
     """The format of the output audio."""
 
-    voice: Union[str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"]]
+    voice: OutputVoice
     """The voice the model uses to respond.
 
     Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`, `sage`,
-    `shimmer`, `verse`, `marin`, and `cedar`. Voice cannot be changed during the
-    session once the model has responded with audio at least once.
+    `shimmer`, `verse`, `marin`, and `cedar`. You may also provide a custom voice
+    object with an `id`, for example `{ "id": "voice_1234" }`. Voice cannot be
+    changed during the session once the model has responded with audio at least
+    once. We recommend `marin` and `cedar` for best quality.
     """
 
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool.py b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool.py
index 72189e10..cb5eae42 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool.py
@@ -134,6 +134,9 @@ class RealtimeResponseCreateMcpTool(BaseModel):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: Optional[bool] = None
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]] = None
     """Optional HTTP headers to send to the MCP server.
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool_param.py
index 68dd6bdb..dd8c2e01 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_response_create_mcp_tool_param.py
@@ -134,6 +134,9 @@ class RealtimeResponseCreateMcpToolParam(TypedDict, total=False):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: bool
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]]
     """Optional HTTP headers to send to the MCP server.
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py
index 4a93c91c..e34136a1 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py
@@ -57,6 +57,7 @@ class RealtimeSessionCreateRequest(BaseModel):
         str,
         Literal[
             "gpt-realtime",
+            "gpt-realtime-1.5",
             "gpt-realtime-2025-08-28",
             "gpt-4o-realtime-preview",
             "gpt-4o-realtime-preview-2024-10-01",
@@ -67,6 +68,7 @@ class RealtimeSessionCreateRequest(BaseModel):
             "gpt-realtime-mini",
             "gpt-realtime-mini-2025-10-06",
             "gpt-realtime-mini-2025-12-15",
+            "gpt-audio-1.5",
             "gpt-audio-mini",
             "gpt-audio-mini-2025-10-06",
             "gpt-audio-mini-2025-12-15",
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py
index dee63d09..f3180c9e 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py
@@ -58,6 +58,7 @@ class RealtimeSessionCreateRequestParam(TypedDict, total=False):
         str,
         Literal[
             "gpt-realtime",
+            "gpt-realtime-1.5",
             "gpt-realtime-2025-08-28",
             "gpt-4o-realtime-preview",
             "gpt-4o-realtime-preview-2024-10-01",
@@ -68,6 +69,7 @@ class RealtimeSessionCreateRequestParam(TypedDict, total=False):
             "gpt-realtime-mini",
             "gpt-realtime-mini-2025-10-06",
             "gpt-realtime-mini-2025-12-15",
+            "gpt-audio-1.5",
             "gpt-audio-mini",
             "gpt-audio-mini-2025-10-06",
             "gpt-audio-mini-2025-12-15",
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py
index 15a200ca..3c3bef93 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py
@@ -363,6 +363,9 @@ class ToolMcpTool(BaseModel):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: Optional[bool] = None
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]] = None
     """Optional HTTP headers to send to the MCP server.
 
@@ -460,6 +463,7 @@ class RealtimeSessionCreateResponse(BaseModel):
         str,
         Literal[
             "gpt-realtime",
+            "gpt-realtime-1.5",
             "gpt-realtime-2025-08-28",
             "gpt-4o-realtime-preview",
             "gpt-4o-realtime-preview-2024-10-01",
@@ -470,6 +474,7 @@ class RealtimeSessionCreateResponse(BaseModel):
             "gpt-realtime-mini",
             "gpt-realtime-mini-2025-10-06",
             "gpt-realtime-mini-2025-12-15",
+            "gpt-audio-1.5",
             "gpt-audio-mini",
             "gpt-audio-mini-2025-10-06",
             "gpt-audio-mini-2025-12-15",
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_param.py
index 3cc404fe..21713092 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_param.py
@@ -137,6 +137,9 @@ class Mcp(TypedDict, total=False):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: bool
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]]
     """Optional HTTP headers to send to the MCP server.
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union.py b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union.py
index 92aaee7f..55da5826 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union.py
@@ -137,6 +137,9 @@ class Mcp(BaseModel):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: Optional[bool] = None
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]] = None
     """Optional HTTP headers to send to the MCP server.
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union_param.py
index 6889b4c3..15118f33 100644
--- a/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union_param.py
+++ b/portkey_ai/_vendor/openai/types/realtime/realtime_tools_config_union_param.py
@@ -136,6 +136,9 @@ class Mcp(TypedDict, total=False):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: bool
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]]
     """Optional HTTP headers to send to the MCP server.
 
diff --git a/portkey_ai/_vendor/openai/types/realtime/response_function_call_arguments_done_event.py b/portkey_ai/_vendor/openai/types/realtime/response_function_call_arguments_done_event.py
index 504f91d5..01bae805 100644
--- a/portkey_ai/_vendor/openai/types/realtime/response_function_call_arguments_done_event.py
+++ b/portkey_ai/_vendor/openai/types/realtime/response_function_call_arguments_done_event.py
@@ -25,6 +25,9 @@ class ResponseFunctionCallArgumentsDoneEvent(BaseModel):
     item_id: str
     """The ID of the function call item."""
 
+    name: str
+    """The name of the function that was called."""
+
     output_index: int
     """The index of the output item in the response."""
 
diff --git a/portkey_ai/_vendor/openai/types/responses/__init__.py b/portkey_ai/_vendor/openai/types/responses/__init__.py
index a4d939d9..5e6f45e9 100644
--- a/portkey_ai/_vendor/openai/types/responses/__init__.py
+++ b/portkey_ai/_vendor/openai/types/responses/__init__.py
@@ -6,11 +6,17 @@
 from .response import Response as Response
 from .tool_param import ToolParam as ToolParam
 from .custom_tool import CustomTool as CustomTool
+from .local_skill import LocalSkill as LocalSkill
+from .inline_skill import InlineSkill as InlineSkill
 from .computer_tool import ComputerTool as ComputerTool
 from .function_tool import FunctionTool as FunctionTool
 from .response_item import ResponseItem as ResponseItem
+from .container_auto import ContainerAuto as ContainerAuto
+from .namespace_tool import NamespaceTool as NamespaceTool
 from .response_error import ResponseError as ResponseError
+from .response_input import ResponseInput as ResponseInput
 from .response_usage import ResponseUsage as ResponseUsage
+from .computer_action import ComputerAction as ComputerAction
 from .parsed_response import (
     ParsedContent as ParsedContent,
     ParsedResponse as ParsedResponse,
@@ -21,26 +27,36 @@
 )
 from .response_prompt import ResponsePrompt as ResponsePrompt
 from .response_status import ResponseStatus as ResponseStatus
+from .skill_reference import SkillReference as SkillReference
 from .tool_choice_mcp import ToolChoiceMcp as ToolChoiceMcp
 from .web_search_tool import WebSearchTool as WebSearchTool
 from .apply_patch_tool import ApplyPatchTool as ApplyPatchTool
 from .file_search_tool import FileSearchTool as FileSearchTool
+from .tool_search_tool import ToolSearchTool as ToolSearchTool
 from .custom_tool_param import CustomToolParam as CustomToolParam
+from .local_environment import LocalEnvironment as LocalEnvironment
+from .local_skill_param import LocalSkillParam as LocalSkillParam
 from .tool_choice_shell import ToolChoiceShell as ToolChoiceShell
 from .tool_choice_types import ToolChoiceTypes as ToolChoiceTypes
 from .compacted_response import CompactedResponse as CompactedResponse
 from .easy_input_message import EasyInputMessage as EasyInputMessage
+from .inline_skill_param import InlineSkillParam as InlineSkillParam
 from .response_item_list import ResponseItemList as ResponseItemList
 from .tool_choice_custom import ToolChoiceCustom as ToolChoiceCustom
 from .computer_tool_param import ComputerToolParam as ComputerToolParam
+from .container_reference import ContainerReference as ContainerReference
 from .function_shell_tool import FunctionShellTool as FunctionShellTool
 from .function_tool_param import FunctionToolParam as FunctionToolParam
+from .inline_skill_source import InlineSkillSource as InlineSkillSource
 from .response_includable import ResponseIncludable as ResponseIncludable
 from .response_input_file import ResponseInputFile as ResponseInputFile
 from .response_input_item import ResponseInputItem as ResponseInputItem
 from .response_input_text import ResponseInputText as ResponseInputText
 from .tool_choice_allowed import ToolChoiceAllowed as ToolChoiceAllowed
 from .tool_choice_options import ToolChoiceOptions as ToolChoiceOptions
+from .computer_action_list import ComputerActionList as ComputerActionList
+from .container_auto_param import ContainerAutoParam as ContainerAutoParam
+from .namespace_tool_param import NamespaceToolParam as NamespaceToolParam
 from .response_error_event import ResponseErrorEvent as ResponseErrorEvent
 from .response_input_audio import ResponseInputAudio as ResponseInputAudio
 from .response_input_image import ResponseInputImage as ResponseInputImage
@@ -49,10 +65,12 @@
 from .response_output_text import ResponseOutputText as ResponseOutputText
 from .response_text_config import ResponseTextConfig as ResponseTextConfig
 from .tool_choice_function import ToolChoiceFunction as ToolChoiceFunction
+from .computer_action_param import ComputerActionParam as ComputerActionParam
 from .response_failed_event import ResponseFailedEvent as ResponseFailedEvent
 from .response_prompt_param import ResponsePromptParam as ResponsePromptParam
 from .response_queued_event import ResponseQueuedEvent as ResponseQueuedEvent
 from .response_stream_event import ResponseStreamEvent as ResponseStreamEvent
+from .skill_reference_param import SkillReferenceParam as SkillReferenceParam
 from .tool_choice_mcp_param import ToolChoiceMcpParam as ToolChoiceMcpParam
 from .web_search_tool_param import WebSearchToolParam as WebSearchToolParam
 from .apply_patch_tool_param import ApplyPatchToolParam as ApplyPatchToolParam
@@ -61,6 +79,10 @@
 from .response_create_params import ResponseCreateParams as ResponseCreateParams
 from .response_created_event import ResponseCreatedEvent as ResponseCreatedEvent
 from .response_input_content import ResponseInputContent as ResponseInputContent
+from .responses_client_event import ResponsesClientEvent as ResponsesClientEvent
+from .responses_server_event import ResponsesServerEvent as ResponsesServerEvent
+from .tool_search_tool_param import ToolSearchToolParam as ToolSearchToolParam
+from .local_environment_param import LocalEnvironmentParam as LocalEnvironmentParam
 from .response_compact_params import ResponseCompactParams as ResponseCompactParams
 from .response_output_message import ResponseOutputMessage as ResponseOutputMessage
 from .response_output_refusal import ResponseOutputRefusal as ResponseOutputRefusal
@@ -76,7 +98,10 @@
 from .response_retrieve_params import ResponseRetrieveParams as ResponseRetrieveParams
 from .response_text_done_event import ResponseTextDoneEvent as ResponseTextDoneEvent
 from .tool_choice_custom_param import ToolChoiceCustomParam as ToolChoiceCustomParam
+from .computer_use_preview_tool import ComputerUsePreviewTool as ComputerUsePreviewTool
+from .container_reference_param import ContainerReferenceParam as ContainerReferenceParam
 from .function_shell_tool_param import FunctionShellToolParam as FunctionShellToolParam
+from .inline_skill_source_param import InlineSkillSourceParam as InlineSkillSourceParam
 from .response_audio_done_event import ResponseAudioDoneEvent as ResponseAudioDoneEvent
 from .response_custom_tool_call import ResponseCustomToolCall as ResponseCustomToolCall
 from .response_incomplete_event import ResponseIncompleteEvent as ResponseIncompleteEvent
@@ -84,12 +109,15 @@
 from .response_input_item_param import ResponseInputItemParam as ResponseInputItemParam
 from .response_input_text_param import ResponseInputTextParam as ResponseInputTextParam
 from .response_text_delta_event import ResponseTextDeltaEvent as ResponseTextDeltaEvent
+from .response_tool_search_call import ResponseToolSearchCall as ResponseToolSearchCall
 from .tool_choice_allowed_param import ToolChoiceAllowedParam as ToolChoiceAllowedParam
+from .computer_action_list_param import ComputerActionListParam as ComputerActionListParam
 from .input_token_count_response import InputTokenCountResponse as InputTokenCountResponse
 from .response_audio_delta_event import ResponseAudioDeltaEvent as ResponseAudioDeltaEvent
 from .response_in_progress_event import ResponseInProgressEvent as ResponseInProgressEvent
 from .response_input_audio_param import ResponseInputAudioParam as ResponseInputAudioParam
 from .response_input_image_param import ResponseInputImageParam as ResponseInputImageParam
+from .response_local_environment import ResponseLocalEnvironment as ResponseLocalEnvironment
 from .response_output_text_param import ResponseOutputTextParam as ResponseOutputTextParam
 from .response_text_config_param import ResponseTextConfigParam as ResponseTextConfigParam
 from .tool_choice_function_param import ToolChoiceFunctionParam as ToolChoiceFunctionParam
@@ -101,10 +129,12 @@
 from .response_input_message_item import ResponseInputMessageItem as ResponseInputMessageItem
 from .response_input_text_content import ResponseInputTextContent as ResponseInputTextContent
 from .response_refusal_done_event import ResponseRefusalDoneEvent as ResponseRefusalDoneEvent
+from .response_container_reference import ResponseContainerReference as ResponseContainerReference
 from .response_function_web_search import ResponseFunctionWebSearch as ResponseFunctionWebSearch
 from .response_input_content_param import ResponseInputContentParam as ResponseInputContentParam
 from .response_input_image_content import ResponseInputImageContent as ResponseInputImageContent
 from .response_refusal_delta_event import ResponseRefusalDeltaEvent as ResponseRefusalDeltaEvent
+from .responses_client_event_param import ResponsesClientEventParam as ResponsesClientEventParam
 from .response_output_message_param import ResponseOutputMessageParam as ResponseOutputMessageParam
 from .response_output_refusal_param import ResponseOutputRefusalParam as ResponseOutputRefusalParam
 from .response_reasoning_item_param import ResponseReasoningItemParam as ResponseReasoningItemParam
@@ -112,22 +142,28 @@
 from .web_search_preview_tool_param import WebSearchPreviewToolParam as WebSearchPreviewToolParam
 from .response_apply_patch_tool_call import ResponseApplyPatchToolCall as ResponseApplyPatchToolCall
 from .response_compaction_item_param import ResponseCompactionItemParam as ResponseCompactionItemParam
+from .response_custom_tool_call_item import ResponseCustomToolCallItem as ResponseCustomToolCallItem
 from .response_file_search_tool_call import ResponseFileSearchToolCall as ResponseFileSearchToolCall
 from .response_mcp_call_failed_event import ResponseMcpCallFailedEvent as ResponseMcpCallFailedEvent
+from .computer_use_preview_tool_param import ComputerUsePreviewToolParam as ComputerUsePreviewToolParam
 from .response_custom_tool_call_param import ResponseCustomToolCallParam as ResponseCustomToolCallParam
 from .response_output_item_done_event import ResponseOutputItemDoneEvent as ResponseOutputItemDoneEvent
 from .response_content_part_done_event import ResponseContentPartDoneEvent as ResponseContentPartDoneEvent
 from .response_custom_tool_call_output import ResponseCustomToolCallOutput as ResponseCustomToolCallOutput
 from .response_function_tool_call_item import ResponseFunctionToolCallItem as ResponseFunctionToolCallItem
 from .response_output_item_added_event import ResponseOutputItemAddedEvent as ResponseOutputItemAddedEvent
+from .response_tool_search_output_item import ResponseToolSearchOutputItem as ResponseToolSearchOutputItem
+from .container_network_policy_disabled import ContainerNetworkPolicyDisabled as ContainerNetworkPolicyDisabled
 from .response_computer_tool_call_param import ResponseComputerToolCallParam as ResponseComputerToolCallParam
 from .response_content_part_added_event import ResponseContentPartAddedEvent as ResponseContentPartAddedEvent
+from .response_conversation_param_param import ResponseConversationParamParam as ResponseConversationParamParam
 from .response_format_text_config_param import ResponseFormatTextConfigParam as ResponseFormatTextConfigParam
 from .response_function_shell_tool_call import ResponseFunctionShellToolCall as ResponseFunctionShellToolCall
 from .response_function_tool_call_param import ResponseFunctionToolCallParam as ResponseFunctionToolCallParam
 from .response_input_file_content_param import ResponseInputFileContentParam as ResponseInputFileContentParam
 from .response_input_text_content_param import ResponseInputTextContentParam as ResponseInputTextContentParam
 from .response_mcp_call_completed_event import ResponseMcpCallCompletedEvent as ResponseMcpCallCompletedEvent
+from .container_network_policy_allowlist import ContainerNetworkPolicyAllowlist as ContainerNetworkPolicyAllowlist
 from .response_function_call_output_item import ResponseFunctionCallOutputItem as ResponseFunctionCallOutputItem
 from .response_function_web_search_param import ResponseFunctionWebSearchParam as ResponseFunctionWebSearchParam
 from .response_input_image_content_param import ResponseInputImageContentParam as ResponseInputImageContentParam
@@ -144,12 +180,22 @@
 from .response_audio_transcript_delta_event import (
     ResponseAudioTranscriptDeltaEvent as ResponseAudioTranscriptDeltaEvent,
 )
+from .response_custom_tool_call_output_item import ResponseCustomToolCallOutputItem as ResponseCustomToolCallOutputItem
+from .container_network_policy_domain_secret import (
+    ContainerNetworkPolicyDomainSecret as ContainerNetworkPolicyDomainSecret,
+)
 from .response_custom_tool_call_output_param import (
     ResponseCustomToolCallOutputParam as ResponseCustomToolCallOutputParam,
 )
 from .response_mcp_call_arguments_done_event import (
     ResponseMcpCallArgumentsDoneEvent as ResponseMcpCallArgumentsDoneEvent,
 )
+from .response_tool_search_output_item_param import (
+    ResponseToolSearchOutputItemParam as ResponseToolSearchOutputItemParam,
+)
+from .container_network_policy_disabled_param import (
+    ContainerNetworkPolicyDisabledParam as ContainerNetworkPolicyDisabledParam,
+)
 from .response_computer_tool_call_output_item import (
     ResponseComputerToolCallOutputItem as ResponseComputerToolCallOutputItem,
 )
@@ -171,6 +217,9 @@
 from .response_mcp_list_tools_completed_event import (
     ResponseMcpListToolsCompletedEvent as ResponseMcpListToolsCompletedEvent,
 )
+from .container_network_policy_allowlist_param import (
+    ContainerNetworkPolicyAllowlistParam as ContainerNetworkPolicyAllowlistParam,
+)
 from .response_function_call_output_item_param import (
     ResponseFunctionCallOutputItemParam as ResponseFunctionCallOutputItemParam,
 )
@@ -240,9 +289,15 @@
 from .response_reasoning_summary_text_delta_event import (
     ResponseReasoningSummaryTextDeltaEvent as ResponseReasoningSummaryTextDeltaEvent,
 )
+from .container_network_policy_domain_secret_param import (
+    ContainerNetworkPolicyDomainSecretParam as ContainerNetworkPolicyDomainSecretParam,
+)
 from .response_function_call_arguments_delta_event import (
     ResponseFunctionCallArgumentsDeltaEvent as ResponseFunctionCallArgumentsDeltaEvent,
 )
+from .response_tool_search_output_item_param_param import (
+    ResponseToolSearchOutputItemParamParam as ResponseToolSearchOutputItemParamParam,
+)
 from .response_computer_tool_call_output_screenshot import (
     ResponseComputerToolCallOutputScreenshot as ResponseComputerToolCallOutputScreenshot,
 )
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_action.py b/portkey_ai/_vendor/openai/types/responses/computer_action.py
new file mode 100644
index 00000000..f7a21d2a
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_action.py
@@ -0,0 +1,196 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Union, Optional
+from typing_extensions import Literal, Annotated, TypeAlias
+
+from ..._utils import PropertyInfo
+from ..._models import BaseModel
+
+__all__ = [
+    "ComputerAction",
+    "Click",
+    "DoubleClick",
+    "Drag",
+    "DragPath",
+    "Keypress",
+    "Move",
+    "Screenshot",
+    "Scroll",
+    "Type",
+    "Wait",
+]
+
+
+class Click(BaseModel):
+    """A click action."""
+
+    button: Literal["left", "right", "wheel", "back", "forward"]
+    """Indicates which mouse button was pressed during the click.
+
+    One of `left`, `right`, `wheel`, `back`, or `forward`.
+    """
+
+    type: Literal["click"]
+    """Specifies the event type. For a click action, this property is always `click`."""
+
+    x: int
+    """The x-coordinate where the click occurred."""
+
+    y: int
+    """The y-coordinate where the click occurred."""
+
+    keys: Optional[List[str]] = None
+    """The keys being held while clicking."""
+
+
+class DoubleClick(BaseModel):
+    """A double click action."""
+
+    keys: Optional[List[str]] = None
+    """The keys being held while double-clicking."""
+
+    type: Literal["double_click"]
+    """Specifies the event type.
+
+    For a double click action, this property is always set to `double_click`.
+    """
+
+    x: int
+    """The x-coordinate where the double click occurred."""
+
+    y: int
+    """The y-coordinate where the double click occurred."""
+
+
+class DragPath(BaseModel):
+    """An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`."""
+
+    x: int
+    """The x-coordinate."""
+
+    y: int
+    """The y-coordinate."""
+
+
+class Drag(BaseModel):
+    """A drag action."""
+
+    path: List[DragPath]
+    """An array of coordinates representing the path of the drag action.
+
+    Coordinates will appear as an array of objects, eg
+
+    ```
+    [
+      { x: 100, y: 200 },
+      { x: 200, y: 300 }
+    ]
+    ```
+    """
+
+    type: Literal["drag"]
+    """Specifies the event type.
+
+    For a drag action, this property is always set to `drag`.
+    """
+
+    keys: Optional[List[str]] = None
+    """The keys being held while dragging the mouse."""
+
+
+class Keypress(BaseModel):
+    """A collection of keypresses the model would like to perform."""
+
+    keys: List[str]
+    """The combination of keys the model is requesting to be pressed.
+
+    This is an array of strings, each representing a key.
+    """
+
+    type: Literal["keypress"]
+    """Specifies the event type.
+
+    For a keypress action, this property is always set to `keypress`.
+    """
+
+
+class Move(BaseModel):
+    """A mouse move action."""
+
+    type: Literal["move"]
+    """Specifies the event type.
+
+    For a move action, this property is always set to `move`.
+    """
+
+    x: int
+    """The x-coordinate to move to."""
+
+    y: int
+    """The y-coordinate to move to."""
+
+    keys: Optional[List[str]] = None
+    """The keys being held while moving the mouse."""
+
+
+class Screenshot(BaseModel):
+    """A screenshot action."""
+
+    type: Literal["screenshot"]
+    """Specifies the event type.
+
+    For a screenshot action, this property is always set to `screenshot`.
+    """
+
+
+class Scroll(BaseModel):
+    """A scroll action."""
+
+    scroll_x: int
+    """The horizontal scroll distance."""
+
+    scroll_y: int
+    """The vertical scroll distance."""
+
+    type: Literal["scroll"]
+    """Specifies the event type.
+
+    For a scroll action, this property is always set to `scroll`.
+    """
+
+    x: int
+    """The x-coordinate where the scroll occurred."""
+
+    y: int
+    """The y-coordinate where the scroll occurred."""
+
+    keys: Optional[List[str]] = None
+    """The keys being held while scrolling."""
+
+
+class Type(BaseModel):
+    """An action to type in text."""
+
+    text: str
+    """The text to type."""
+
+    type: Literal["type"]
+    """Specifies the event type.
+
+    For a type action, this property is always set to `type`.
+    """
+
+
+class Wait(BaseModel):
+    """A wait action."""
+
+    type: Literal["wait"]
+    """Specifies the event type.
+
+    For a wait action, this property is always set to `wait`.
+    """
+
+
+ComputerAction: TypeAlias = Annotated[
+    Union[Click, DoubleClick, Drag, Keypress, Move, Screenshot, Scroll, Type, Wait], PropertyInfo(discriminator="type")
+]
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_action_list.py b/portkey_ai/_vendor/openai/types/responses/computer_action_list.py
new file mode 100644
index 00000000..0198c6e8
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_action_list.py
@@ -0,0 +1,10 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List
+from typing_extensions import TypeAlias
+
+from .computer_action import ComputerAction
+
+__all__ = ["ComputerActionList"]
+
+ComputerActionList: TypeAlias = List[ComputerAction]
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_action_list_param.py b/portkey_ai/_vendor/openai/types/responses/computer_action_list_param.py
new file mode 100644
index 00000000..66a03520
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_action_list_param.py
@@ -0,0 +1,198 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import List, Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from ..._types import SequenceNotStr
+
+__all__ = [
+    "ComputerActionListParam",
+    "ComputerActionParam",
+    "Click",
+    "DoubleClick",
+    "Drag",
+    "DragPath",
+    "Keypress",
+    "Move",
+    "Screenshot",
+    "Scroll",
+    "Type",
+    "Wait",
+]
+
+
+class Click(TypedDict, total=False):
+    """A click action."""
+
+    button: Required[Literal["left", "right", "wheel", "back", "forward"]]
+    """Indicates which mouse button was pressed during the click.
+
+    One of `left`, `right`, `wheel`, `back`, or `forward`.
+    """
+
+    type: Required[Literal["click"]]
+    """Specifies the event type. For a click action, this property is always `click`."""
+
+    x: Required[int]
+    """The x-coordinate where the click occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the click occurred."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while clicking."""
+
+
+class DoubleClick(TypedDict, total=False):
+    """A double click action."""
+
+    keys: Required[Optional[SequenceNotStr[str]]]
+    """The keys being held while double-clicking."""
+
+    type: Required[Literal["double_click"]]
+    """Specifies the event type.
+
+    For a double click action, this property is always set to `double_click`.
+    """
+
+    x: Required[int]
+    """The x-coordinate where the double click occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the double click occurred."""
+
+
+class DragPath(TypedDict, total=False):
+    """An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`."""
+
+    x: Required[int]
+    """The x-coordinate."""
+
+    y: Required[int]
+    """The y-coordinate."""
+
+
+class Drag(TypedDict, total=False):
+    """A drag action."""
+
+    path: Required[Iterable[DragPath]]
+    """An array of coordinates representing the path of the drag action.
+
+    Coordinates will appear as an array of objects, eg
+
+    ```
+    [
+      { x: 100, y: 200 },
+      { x: 200, y: 300 }
+    ]
+    ```
+    """
+
+    type: Required[Literal["drag"]]
+    """Specifies the event type.
+
+    For a drag action, this property is always set to `drag`.
+    """
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while dragging the mouse."""
+
+
+class Keypress(TypedDict, total=False):
+    """A collection of keypresses the model would like to perform."""
+
+    keys: Required[SequenceNotStr[str]]
+    """The combination of keys the model is requesting to be pressed.
+
+    This is an array of strings, each representing a key.
+    """
+
+    type: Required[Literal["keypress"]]
+    """Specifies the event type.
+
+    For a keypress action, this property is always set to `keypress`.
+    """
+
+
+class Move(TypedDict, total=False):
+    """A mouse move action."""
+
+    type: Required[Literal["move"]]
+    """Specifies the event type.
+
+    For a move action, this property is always set to `move`.
+    """
+
+    x: Required[int]
+    """The x-coordinate to move to."""
+
+    y: Required[int]
+    """The y-coordinate to move to."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while moving the mouse."""
+
+
+class Screenshot(TypedDict, total=False):
+    """A screenshot action."""
+
+    type: Required[Literal["screenshot"]]
+    """Specifies the event type.
+
+    For a screenshot action, this property is always set to `screenshot`.
+    """
+
+
+class Scroll(TypedDict, total=False):
+    """A scroll action."""
+
+    scroll_x: Required[int]
+    """The horizontal scroll distance."""
+
+    scroll_y: Required[int]
+    """The vertical scroll distance."""
+
+    type: Required[Literal["scroll"]]
+    """Specifies the event type.
+
+    For a scroll action, this property is always set to `scroll`.
+    """
+
+    x: Required[int]
+    """The x-coordinate where the scroll occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the scroll occurred."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while scrolling."""
+
+
+class Type(TypedDict, total=False):
+    """An action to type in text."""
+
+    text: Required[str]
+    """The text to type."""
+
+    type: Required[Literal["type"]]
+    """Specifies the event type.
+
+    For a type action, this property is always set to `type`.
+    """
+
+
+class Wait(TypedDict, total=False):
+    """A wait action."""
+
+    type: Required[Literal["wait"]]
+    """Specifies the event type.
+
+    For a wait action, this property is always set to `wait`.
+    """
+
+
+ComputerActionParam: TypeAlias = Union[Click, DoubleClick, Drag, Keypress, Move, Screenshot, Scroll, Type, Wait]
+
+ComputerActionListParam: TypeAlias = List[ComputerActionParam]
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_action_param.py b/portkey_ai/_vendor/openai/types/responses/computer_action_param.py
new file mode 100644
index 00000000..f60c72b1
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_action_param.py
@@ -0,0 +1,195 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from ..._types import SequenceNotStr
+
+__all__ = [
+    "ComputerActionParam",
+    "Click",
+    "DoubleClick",
+    "Drag",
+    "DragPath",
+    "Keypress",
+    "Move",
+    "Screenshot",
+    "Scroll",
+    "Type",
+    "Wait",
+]
+
+
+class Click(TypedDict, total=False):
+    """A click action."""
+
+    button: Required[Literal["left", "right", "wheel", "back", "forward"]]
+    """Indicates which mouse button was pressed during the click.
+
+    One of `left`, `right`, `wheel`, `back`, or `forward`.
+    """
+
+    type: Required[Literal["click"]]
+    """Specifies the event type. For a click action, this property is always `click`."""
+
+    x: Required[int]
+    """The x-coordinate where the click occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the click occurred."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while clicking."""
+
+
+class DoubleClick(TypedDict, total=False):
+    """A double click action."""
+
+    keys: Required[Optional[SequenceNotStr[str]]]
+    """The keys being held while double-clicking."""
+
+    type: Required[Literal["double_click"]]
+    """Specifies the event type.
+
+    For a double click action, this property is always set to `double_click`.
+    """
+
+    x: Required[int]
+    """The x-coordinate where the double click occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the double click occurred."""
+
+
+class DragPath(TypedDict, total=False):
+    """An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`."""
+
+    x: Required[int]
+    """The x-coordinate."""
+
+    y: Required[int]
+    """The y-coordinate."""
+
+
+class Drag(TypedDict, total=False):
+    """A drag action."""
+
+    path: Required[Iterable[DragPath]]
+    """An array of coordinates representing the path of the drag action.
+
+    Coordinates will appear as an array of objects, eg
+
+    ```
+    [
+      { x: 100, y: 200 },
+      { x: 200, y: 300 }
+    ]
+    ```
+    """
+
+    type: Required[Literal["drag"]]
+    """Specifies the event type.
+
+    For a drag action, this property is always set to `drag`.
+    """
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while dragging the mouse."""
+
+
+class Keypress(TypedDict, total=False):
+    """A collection of keypresses the model would like to perform."""
+
+    keys: Required[SequenceNotStr[str]]
+    """The combination of keys the model is requesting to be pressed.
+
+    This is an array of strings, each representing a key.
+    """
+
+    type: Required[Literal["keypress"]]
+    """Specifies the event type.
+
+    For a keypress action, this property is always set to `keypress`.
+    """
+
+
+class Move(TypedDict, total=False):
+    """A mouse move action."""
+
+    type: Required[Literal["move"]]
+    """Specifies the event type.
+
+    For a move action, this property is always set to `move`.
+    """
+
+    x: Required[int]
+    """The x-coordinate to move to."""
+
+    y: Required[int]
+    """The y-coordinate to move to."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while moving the mouse."""
+
+
+class Screenshot(TypedDict, total=False):
+    """A screenshot action."""
+
+    type: Required[Literal["screenshot"]]
+    """Specifies the event type.
+
+    For a screenshot action, this property is always set to `screenshot`.
+    """
+
+
+class Scroll(TypedDict, total=False):
+    """A scroll action."""
+
+    scroll_x: Required[int]
+    """The horizontal scroll distance."""
+
+    scroll_y: Required[int]
+    """The vertical scroll distance."""
+
+    type: Required[Literal["scroll"]]
+    """Specifies the event type.
+
+    For a scroll action, this property is always set to `scroll`.
+    """
+
+    x: Required[int]
+    """The x-coordinate where the scroll occurred."""
+
+    y: Required[int]
+    """The y-coordinate where the scroll occurred."""
+
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while scrolling."""
+
+
+class Type(TypedDict, total=False):
+    """An action to type in text."""
+
+    text: Required[str]
+    """The text to type."""
+
+    type: Required[Literal["type"]]
+    """Specifies the event type.
+
+    For a type action, this property is always set to `type`.
+    """
+
+
+class Wait(TypedDict, total=False):
+    """A wait action."""
+
+    type: Required[Literal["wait"]]
+    """Specifies the event type.
+
+    For a wait action, this property is always set to `wait`.
+    """
+
+
+ComputerActionParam: TypeAlias = Union[Click, DoubleClick, Drag, Keypress, Move, Screenshot, Scroll, Type, Wait]
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_tool.py b/portkey_ai/_vendor/openai/types/responses/computer_tool.py
index 22871c84..392faa9e 100644
--- a/portkey_ai/_vendor/openai/types/responses/computer_tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/computer_tool.py
@@ -13,14 +13,5 @@ class ComputerTool(BaseModel):
     Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
     """
 
-    display_height: int
-    """The height of the computer display."""
-
-    display_width: int
-    """The width of the computer display."""
-
-    environment: Literal["windows", "mac", "linux", "ubuntu", "browser"]
-    """The type of computer environment to control."""
-
-    type: Literal["computer_use_preview"]
-    """The type of the computer use tool. Always `computer_use_preview`."""
+    type: Literal["computer"]
+    """The type of the computer tool. Always `computer`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_tool_param.py b/portkey_ai/_vendor/openai/types/responses/computer_tool_param.py
index cdf75a43..b5931dea 100644
--- a/portkey_ai/_vendor/openai/types/responses/computer_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/computer_tool_param.py
@@ -13,14 +13,5 @@ class ComputerToolParam(TypedDict, total=False):
     Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
     """
 
-    display_height: Required[int]
-    """The height of the computer display."""
-
-    display_width: Required[int]
-    """The width of the computer display."""
-
-    environment: Required[Literal["windows", "mac", "linux", "ubuntu", "browser"]]
-    """The type of computer environment to control."""
-
-    type: Required[Literal["computer_use_preview"]]
-    """The type of the computer use tool. Always `computer_use_preview`."""
+    type: Required[Literal["computer"]]
+    """The type of the computer tool. Always `computer`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool.py b/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool.py
new file mode 100644
index 00000000..686860e2
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool.py
@@ -0,0 +1,26 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ComputerUsePreviewTool"]
+
+
+class ComputerUsePreviewTool(BaseModel):
+    """A tool that controls a virtual computer.
+
+    Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
+    """
+
+    display_height: int
+    """The height of the computer display."""
+
+    display_width: int
+    """The width of the computer display."""
+
+    environment: Literal["windows", "mac", "linux", "ubuntu", "browser"]
+    """The type of computer environment to control."""
+
+    type: Literal["computer_use_preview"]
+    """The type of the computer use tool. Always `computer_use_preview`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool_param.py b/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool_param.py
new file mode 100644
index 00000000..2611c729
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/computer_use_preview_tool_param.py
@@ -0,0 +1,26 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ComputerUsePreviewToolParam"]
+
+
+class ComputerUsePreviewToolParam(TypedDict, total=False):
+    """A tool that controls a virtual computer.
+
+    Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
+    """
+
+    display_height: Required[int]
+    """The height of the computer display."""
+
+    display_width: Required[int]
+    """The width of the computer display."""
+
+    environment: Required[Literal["windows", "mac", "linux", "ubuntu", "browser"]]
+    """The type of computer environment to control."""
+
+    type: Required[Literal["computer_use_preview"]]
+    """The type of the computer use tool. Always `computer_use_preview`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_auto.py b/portkey_ai/_vendor/openai/types/responses/container_auto.py
new file mode 100644
index 00000000..06b8a285
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_auto.py
@@ -0,0 +1,36 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Union, Optional
+from typing_extensions import Literal, Annotated, TypeAlias
+
+from ..._utils import PropertyInfo
+from ..._models import BaseModel
+from .inline_skill import InlineSkill
+from .skill_reference import SkillReference
+from .container_network_policy_disabled import ContainerNetworkPolicyDisabled
+from .container_network_policy_allowlist import ContainerNetworkPolicyAllowlist
+
+__all__ = ["ContainerAuto", "NetworkPolicy", "Skill"]
+
+NetworkPolicy: TypeAlias = Annotated[
+    Union[ContainerNetworkPolicyDisabled, ContainerNetworkPolicyAllowlist], PropertyInfo(discriminator="type")
+]
+
+Skill: TypeAlias = Annotated[Union[SkillReference, InlineSkill], PropertyInfo(discriminator="type")]
+
+
+class ContainerAuto(BaseModel):
+    type: Literal["container_auto"]
+    """Automatically creates a container for this request"""
+
+    file_ids: Optional[List[str]] = None
+    """An optional list of uploaded files to make available to your code."""
+
+    memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None
+    """The memory limit for the container."""
+
+    network_policy: Optional[NetworkPolicy] = None
+    """Network access policy for the container."""
+
+    skills: Optional[List[Skill]] = None
+    """An optional list of skills referenced by id or inline data."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_auto_param.py b/portkey_ai/_vendor/openai/types/responses/container_auto_param.py
new file mode 100644
index 00000000..b9e8bb52
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_auto_param.py
@@ -0,0 +1,35 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from ..._types import SequenceNotStr
+from .inline_skill_param import InlineSkillParam
+from .skill_reference_param import SkillReferenceParam
+from .container_network_policy_disabled_param import ContainerNetworkPolicyDisabledParam
+from .container_network_policy_allowlist_param import ContainerNetworkPolicyAllowlistParam
+
+__all__ = ["ContainerAutoParam", "NetworkPolicy", "Skill"]
+
+NetworkPolicy: TypeAlias = Union[ContainerNetworkPolicyDisabledParam, ContainerNetworkPolicyAllowlistParam]
+
+Skill: TypeAlias = Union[SkillReferenceParam, InlineSkillParam]
+
+
+class ContainerAutoParam(TypedDict, total=False):
+    type: Required[Literal["container_auto"]]
+    """Automatically creates a container for this request"""
+
+    file_ids: SequenceNotStr[str]
+    """An optional list of uploaded files to make available to your code."""
+
+    memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]
+    """The memory limit for the container."""
+
+    network_policy: NetworkPolicy
+    """Network access policy for the container."""
+
+    skills: Iterable[Skill]
+    """An optional list of skills referenced by id or inline data."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist.py
new file mode 100644
index 00000000..caa2565e
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist.py
@@ -0,0 +1,20 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from .container_network_policy_domain_secret import ContainerNetworkPolicyDomainSecret
+
+__all__ = ["ContainerNetworkPolicyAllowlist"]
+
+
+class ContainerNetworkPolicyAllowlist(BaseModel):
+    allowed_domains: List[str]
+    """A list of allowed domains when type is `allowlist`."""
+
+    type: Literal["allowlist"]
+    """Allow outbound network access only to specified domains. Always `allowlist`."""
+
+    domain_secrets: Optional[List[ContainerNetworkPolicyDomainSecret]] = None
+    """Optional domain-scoped secrets for allowlisted domains."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist_param.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist_param.py
new file mode 100644
index 00000000..583b761e
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_allowlist_param.py
@@ -0,0 +1,22 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable
+from typing_extensions import Literal, Required, TypedDict
+
+from ..._types import SequenceNotStr
+from .container_network_policy_domain_secret_param import ContainerNetworkPolicyDomainSecretParam
+
+__all__ = ["ContainerNetworkPolicyAllowlistParam"]
+
+
+class ContainerNetworkPolicyAllowlistParam(TypedDict, total=False):
+    allowed_domains: Required[SequenceNotStr[str]]
+    """A list of allowed domains when type is `allowlist`."""
+
+    type: Required[Literal["allowlist"]]
+    """Allow outbound network access only to specified domains. Always `allowlist`."""
+
+    domain_secrets: Iterable[ContainerNetworkPolicyDomainSecretParam]
+    """Optional domain-scoped secrets for allowlisted domains."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled.py
new file mode 100644
index 00000000..47891aa3
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled.py
@@ -0,0 +1,12 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ContainerNetworkPolicyDisabled"]
+
+
+class ContainerNetworkPolicyDisabled(BaseModel):
+    type: Literal["disabled"]
+    """Disable outbound network access. Always `disabled`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled_param.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled_param.py
new file mode 100644
index 00000000..0db7d8ff
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_disabled_param.py
@@ -0,0 +1,12 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ContainerNetworkPolicyDisabledParam"]
+
+
+class ContainerNetworkPolicyDisabledParam(TypedDict, total=False):
+    type: Required[Literal["disabled"]]
+    """Disable outbound network access. Always `disabled`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret.py
new file mode 100644
index 00000000..d0e18ba9
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret.py
@@ -0,0 +1,16 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from ..._models import BaseModel
+
+__all__ = ["ContainerNetworkPolicyDomainSecret"]
+
+
+class ContainerNetworkPolicyDomainSecret(BaseModel):
+    domain: str
+    """The domain associated with the secret."""
+
+    name: str
+    """The name of the secret to inject for the domain."""
+
+    value: str
+    """The secret value to inject for the domain."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret_param.py b/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret_param.py
new file mode 100644
index 00000000..619fbde7
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_network_policy_domain_secret_param.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Required, TypedDict
+
+__all__ = ["ContainerNetworkPolicyDomainSecretParam"]
+
+
+class ContainerNetworkPolicyDomainSecretParam(TypedDict, total=False):
+    domain: Required[str]
+    """The domain associated with the secret."""
+
+    name: Required[str]
+    """The name of the secret to inject for the domain."""
+
+    value: Required[str]
+    """The secret value to inject for the domain."""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_reference.py b/portkey_ai/_vendor/openai/types/responses/container_reference.py
new file mode 100644
index 00000000..17065bf3
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_reference.py
@@ -0,0 +1,15 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ContainerReference"]
+
+
+class ContainerReference(BaseModel):
+    container_id: str
+    """The ID of the referenced container."""
+
+    type: Literal["container_reference"]
+    """References a container created with the /v1/containers endpoint"""
diff --git a/portkey_ai/_vendor/openai/types/responses/container_reference_param.py b/portkey_ai/_vendor/openai/types/responses/container_reference_param.py
new file mode 100644
index 00000000..1da2fb67
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/container_reference_param.py
@@ -0,0 +1,15 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ContainerReferenceParam"]
+
+
+class ContainerReferenceParam(TypedDict, total=False):
+    container_id: Required[str]
+    """The ID of the referenced container."""
+
+    type: Required[Literal["container_reference"]]
+    """References a container created with the /v1/containers endpoint"""
diff --git a/portkey_ai/_vendor/openai/types/responses/custom_tool.py b/portkey_ai/_vendor/openai/types/responses/custom_tool.py
index 1ca401a4..017c6d69 100644
--- a/portkey_ai/_vendor/openai/types/responses/custom_tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/custom_tool.py
@@ -21,6 +21,9 @@ class CustomTool(BaseModel):
     type: Literal["custom"]
     """The type of the custom tool. Always `custom`."""
 
+    defer_loading: Optional[bool] = None
+    """Whether this tool should be deferred and discovered via tool search."""
+
     description: Optional[str] = None
     """Optional description of the custom tool, used to provide more context."""
 
diff --git a/portkey_ai/_vendor/openai/types/responses/custom_tool_param.py b/portkey_ai/_vendor/openai/types/responses/custom_tool_param.py
index 4ce43cdf..e6400136 100644
--- a/portkey_ai/_vendor/openai/types/responses/custom_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/custom_tool_param.py
@@ -21,6 +21,9 @@ class CustomToolParam(TypedDict, total=False):
     type: Required[Literal["custom"]]
     """The type of the custom tool. Always `custom`."""
 
+    defer_loading: bool
+    """Whether this tool should be deferred and discovered via tool search."""
+
     description: str
     """Optional description of the custom tool, used to provide more context."""
 
diff --git a/portkey_ai/_vendor/openai/types/responses/easy_input_message.py b/portkey_ai/_vendor/openai/types/responses/easy_input_message.py
index 9a36a6b0..aa97827b 100644
--- a/portkey_ai/_vendor/openai/types/responses/easy_input_message.py
+++ b/portkey_ai/_vendor/openai/types/responses/easy_input_message.py
@@ -30,5 +30,13 @@ class EasyInputMessage(BaseModel):
     One of `user`, `assistant`, `system`, or `developer`.
     """
 
+    phase: Optional[Literal["commentary", "final_answer"]] = None
+    """
+    Labels an `assistant` message as intermediate commentary (`commentary`) or the
+    final answer (`final_answer`). For models like `gpt-5.3-codex` and beyond, when
+    sending follow-up requests, preserve and resend phase on all assistant messages
+    — dropping it can degrade performance. Not used for user messages.
+    """
+
     type: Optional[Literal["message"]] = None
     """The type of the message input. Always `message`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/easy_input_message_param.py b/portkey_ai/_vendor/openai/types/responses/easy_input_message_param.py
index 0a382bdd..bfc8d577 100644
--- a/portkey_ai/_vendor/openai/types/responses/easy_input_message_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/easy_input_message_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union
+from typing import Union, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from .response_input_message_content_list_param import ResponseInputMessageContentListParam
@@ -31,5 +31,13 @@ class EasyInputMessageParam(TypedDict, total=False):
     One of `user`, `assistant`, `system`, or `developer`.
     """
 
+    phase: Optional[Literal["commentary", "final_answer"]]
+    """
+    Labels an `assistant` message as intermediate commentary (`commentary`) or the
+    final answer (`final_answer`). For models like `gpt-5.3-codex` and beyond, when
+    sending follow-up requests, preserve and resend phase on all assistant messages
+    — dropping it can degrade performance. Not used for user messages.
+    """
+
     type: Literal["message"]
     """The type of the message input. Always `message`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/function_shell_tool.py b/portkey_ai/_vendor/openai/types/responses/function_shell_tool.py
index 5b237aa7..17d6bb36 100644
--- a/portkey_ai/_vendor/openai/types/responses/function_shell_tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/function_shell_tool.py
@@ -1,10 +1,19 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing_extensions import Literal
+from typing import Union, Optional
+from typing_extensions import Literal, Annotated, TypeAlias
 
+from ..._utils import PropertyInfo
 from ..._models import BaseModel
+from .container_auto import ContainerAuto
+from .local_environment import LocalEnvironment
+from .container_reference import ContainerReference
 
-__all__ = ["FunctionShellTool"]
+__all__ = ["FunctionShellTool", "Environment"]
+
+Environment: TypeAlias = Annotated[
+    Union[ContainerAuto, LocalEnvironment, ContainerReference, None], PropertyInfo(discriminator="type")
+]
 
 
 class FunctionShellTool(BaseModel):
@@ -12,3 +21,5 @@ class FunctionShellTool(BaseModel):
 
     type: Literal["shell"]
     """The type of the shell tool. Always `shell`."""
+
+    environment: Optional[Environment] = None
diff --git a/portkey_ai/_vendor/openai/types/responses/function_shell_tool_param.py b/portkey_ai/_vendor/openai/types/responses/function_shell_tool_param.py
index c640ddab..b8464ed3 100644
--- a/portkey_ai/_vendor/openai/types/responses/function_shell_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/function_shell_tool_param.py
@@ -2,9 +2,16 @@
 
 from __future__ import annotations
 
-from typing_extensions import Literal, Required, TypedDict
+from typing import Union, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
-__all__ = ["FunctionShellToolParam"]
+from .container_auto_param import ContainerAutoParam
+from .local_environment_param import LocalEnvironmentParam
+from .container_reference_param import ContainerReferenceParam
+
+__all__ = ["FunctionShellToolParam", "Environment"]
+
+Environment: TypeAlias = Union[ContainerAutoParam, LocalEnvironmentParam, ContainerReferenceParam]
 
 
 class FunctionShellToolParam(TypedDict, total=False):
@@ -12,3 +19,5 @@ class FunctionShellToolParam(TypedDict, total=False):
 
     type: Required[Literal["shell"]]
     """The type of the shell tool. Always `shell`."""
+
+    environment: Optional[Environment]
diff --git a/portkey_ai/_vendor/openai/types/responses/function_tool.py b/portkey_ai/_vendor/openai/types/responses/function_tool.py
index b0827a9f..6e9751ad 100644
--- a/portkey_ai/_vendor/openai/types/responses/function_tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/function_tool.py
@@ -26,6 +26,9 @@ class FunctionTool(BaseModel):
     type: Literal["function"]
     """The type of the function tool. Always `function`."""
 
+    defer_loading: Optional[bool] = None
+    """Whether this function is deferred and loaded via tool search."""
+
     description: Optional[str] = None
     """A description of the function.
 
diff --git a/portkey_ai/_vendor/openai/types/responses/function_tool_param.py b/portkey_ai/_vendor/openai/types/responses/function_tool_param.py
index ba0a3168..e7978b44 100644
--- a/portkey_ai/_vendor/openai/types/responses/function_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/function_tool_param.py
@@ -26,6 +26,9 @@ class FunctionToolParam(TypedDict, total=False):
     type: Required[Literal["function"]]
     """The type of the function tool. Always `function`."""
 
+    defer_loading: bool
+    """Whether this function is deferred and loaded via tool search."""
+
     description: Optional[str]
     """A description of the function.
 
diff --git a/portkey_ai/_vendor/openai/types/responses/inline_skill.py b/portkey_ai/_vendor/openai/types/responses/inline_skill.py
new file mode 100644
index 00000000..87c7ca5f
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/inline_skill.py
@@ -0,0 +1,22 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from .inline_skill_source import InlineSkillSource
+
+__all__ = ["InlineSkill"]
+
+
+class InlineSkill(BaseModel):
+    description: str
+    """The description of the skill."""
+
+    name: str
+    """The name of the skill."""
+
+    source: InlineSkillSource
+    """Inline skill payload"""
+
+    type: Literal["inline"]
+    """Defines an inline skill for this request."""
diff --git a/portkey_ai/_vendor/openai/types/responses/inline_skill_param.py b/portkey_ai/_vendor/openai/types/responses/inline_skill_param.py
new file mode 100644
index 00000000..f9181693
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/inline_skill_param.py
@@ -0,0 +1,23 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+from .inline_skill_source_param import InlineSkillSourceParam
+
+__all__ = ["InlineSkillParam"]
+
+
+class InlineSkillParam(TypedDict, total=False):
+    description: Required[str]
+    """The description of the skill."""
+
+    name: Required[str]
+    """The name of the skill."""
+
+    source: Required[InlineSkillSourceParam]
+    """Inline skill payload"""
+
+    type: Required[Literal["inline"]]
+    """Defines an inline skill for this request."""
diff --git a/portkey_ai/_vendor/openai/types/responses/inline_skill_source.py b/portkey_ai/_vendor/openai/types/responses/inline_skill_source.py
new file mode 100644
index 00000000..2586cdb0
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/inline_skill_source.py
@@ -0,0 +1,20 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["InlineSkillSource"]
+
+
+class InlineSkillSource(BaseModel):
+    """Inline skill payload"""
+
+    data: str
+    """Base64-encoded skill zip bundle."""
+
+    media_type: Literal["application/zip"]
+    """The media type of the inline skill payload. Must be `application/zip`."""
+
+    type: Literal["base64"]
+    """The type of the inline skill source. Must be `base64`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/inline_skill_source_param.py b/portkey_ai/_vendor/openai/types/responses/inline_skill_source_param.py
new file mode 100644
index 00000000..b14e63e2
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/inline_skill_source_param.py
@@ -0,0 +1,20 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["InlineSkillSourceParam"]
+
+
+class InlineSkillSourceParam(TypedDict, total=False):
+    """Inline skill payload"""
+
+    data: Required[str]
+    """Base64-encoded skill zip bundle."""
+
+    media_type: Required[Literal["application/zip"]]
+    """The media type of the inline skill payload. Must be `application/zip`."""
+
+    type: Required[Literal["base64"]]
+    """The type of the inline skill source. Must be `base64`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py b/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py
index 97ee4bf6..f8a20265 100644
--- a/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py
+++ b/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py
@@ -15,8 +15,8 @@
 from .response_input_item_param import ResponseInputItemParam
 from .tool_choice_allowed_param import ToolChoiceAllowedParam
 from .tool_choice_function_param import ToolChoiceFunctionParam
-from .response_conversation_param import ResponseConversationParam
 from .tool_choice_apply_patch_param import ToolChoiceApplyPatchParam
+from .response_conversation_param_param import ResponseConversationParamParam
 from .response_format_text_config_param import ResponseFormatTextConfigParam
 
 __all__ = ["InputTokenCountParams", "Conversation", "Text", "ToolChoice"]
@@ -97,7 +97,7 @@ class InputTokenCountParams(TypedDict, total=False):
     """
 
 
-Conversation: TypeAlias = Union[str, ResponseConversationParam]
+Conversation: TypeAlias = Union[str, ResponseConversationParamParam]
 
 
 class Text(TypedDict, total=False):
diff --git a/portkey_ai/_vendor/openai/types/responses/local_environment.py b/portkey_ai/_vendor/openai/types/responses/local_environment.py
new file mode 100644
index 00000000..3ebdaa7e
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/local_environment.py
@@ -0,0 +1,17 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from .local_skill import LocalSkill
+
+__all__ = ["LocalEnvironment"]
+
+
+class LocalEnvironment(BaseModel):
+    type: Literal["local"]
+    """Use a local computer environment."""
+
+    skills: Optional[List[LocalSkill]] = None
+    """An optional list of skills."""
diff --git a/portkey_ai/_vendor/openai/types/responses/local_environment_param.py b/portkey_ai/_vendor/openai/types/responses/local_environment_param.py
new file mode 100644
index 00000000..0ed1e81f
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/local_environment_param.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable
+from typing_extensions import Literal, Required, TypedDict
+
+from .local_skill_param import LocalSkillParam
+
+__all__ = ["LocalEnvironmentParam"]
+
+
+class LocalEnvironmentParam(TypedDict, total=False):
+    type: Required[Literal["local"]]
+    """Use a local computer environment."""
+
+    skills: Iterable[LocalSkillParam]
+    """An optional list of skills."""
diff --git a/portkey_ai/_vendor/openai/types/responses/local_skill.py b/portkey_ai/_vendor/openai/types/responses/local_skill.py
new file mode 100644
index 00000000..1033c319
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/local_skill.py
@@ -0,0 +1,16 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from ..._models import BaseModel
+
+__all__ = ["LocalSkill"]
+
+
+class LocalSkill(BaseModel):
+    description: str
+    """The description of the skill."""
+
+    name: str
+    """The name of the skill."""
+
+    path: str
+    """The path to the directory containing the skill."""
diff --git a/portkey_ai/_vendor/openai/types/responses/local_skill_param.py b/portkey_ai/_vendor/openai/types/responses/local_skill_param.py
new file mode 100644
index 00000000..63011a49
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/local_skill_param.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Required, TypedDict
+
+__all__ = ["LocalSkillParam"]
+
+
+class LocalSkillParam(TypedDict, total=False):
+    description: Required[str]
+    """The description of the skill."""
+
+    name: Required[str]
+    """The name of the skill."""
+
+    path: Required[str]
+    """The path to the directory containing the skill."""
diff --git a/portkey_ai/_vendor/openai/types/responses/namespace_tool.py b/portkey_ai/_vendor/openai/types/responses/namespace_tool.py
new file mode 100644
index 00000000..88f76a97
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/namespace_tool.py
@@ -0,0 +1,44 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Union, Optional
+from typing_extensions import Literal, Annotated, TypeAlias
+
+from ..._utils import PropertyInfo
+from ..._models import BaseModel
+from .custom_tool import CustomTool
+
+__all__ = ["NamespaceTool", "Tool", "ToolFunction"]
+
+
+class ToolFunction(BaseModel):
+    name: str
+
+    type: Literal["function"]
+
+    defer_loading: Optional[bool] = None
+    """Whether this function should be deferred and discovered via tool search."""
+
+    description: Optional[str] = None
+
+    parameters: Optional[object] = None
+
+    strict: Optional[bool] = None
+
+
+Tool: TypeAlias = Annotated[Union[ToolFunction, CustomTool], PropertyInfo(discriminator="type")]
+
+
+class NamespaceTool(BaseModel):
+    """Groups function/custom tools under a shared namespace."""
+
+    description: str
+    """A description of the namespace shown to the model."""
+
+    name: str
+    """The namespace name used in tool calls (for example, `crm`)."""
+
+    tools: List[Tool]
+    """The function/custom tools available inside this namespace."""
+
+    type: Literal["namespace"]
+    """The type of the tool. Always `namespace`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/namespace_tool_param.py b/portkey_ai/_vendor/openai/types/responses/namespace_tool_param.py
new file mode 100644
index 00000000..cb1e5e17
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/namespace_tool_param.py
@@ -0,0 +1,44 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from .custom_tool_param import CustomToolParam
+
+__all__ = ["NamespaceToolParam", "Tool", "ToolFunction"]
+
+
+class ToolFunction(TypedDict, total=False):
+    name: Required[str]
+
+    type: Required[Literal["function"]]
+
+    defer_loading: bool
+    """Whether this function should be deferred and discovered via tool search."""
+
+    description: Optional[str]
+
+    parameters: Optional[object]
+
+    strict: Optional[bool]
+
+
+Tool: TypeAlias = Union[ToolFunction, CustomToolParam]
+
+
+class NamespaceToolParam(TypedDict, total=False):
+    """Groups function/custom tools under a shared namespace."""
+
+    description: Required[str]
+    """A description of the namespace shown to the model."""
+
+    name: Required[str]
+    """The namespace name used in tool calls (for example, `crm`)."""
+
+    tools: Required[Iterable[Tool]]
+    """The function/custom tools available inside this namespace."""
+
+    type: Required[Literal["namespace"]]
+    """The type of the tool. Always `namespace`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/parsed_response.py b/portkey_ai/_vendor/openai/types/responses/parsed_response.py
index a8597105..4100a8d9 100644
--- a/portkey_ai/_vendor/openai/types/responses/parsed_response.py
+++ b/portkey_ai/_vendor/openai/types/responses/parsed_response.py
@@ -12,7 +12,9 @@
     LocalShellCall,
     McpApprovalRequest,
     ImageGenerationCall,
+    McpApprovalResponse,
     LocalShellCallAction,
+    LocalShellCallOutput,
 )
 from .response_output_text import ResponseOutputText
 from .response_output_message import ResponseOutputMessage
@@ -20,14 +22,19 @@
 from .response_reasoning_item import ResponseReasoningItem
 from .response_compaction_item import ResponseCompactionItem
 from .response_custom_tool_call import ResponseCustomToolCall
+from .response_tool_search_call import ResponseToolSearchCall
 from .response_computer_tool_call import ResponseComputerToolCall
 from .response_function_tool_call import ResponseFunctionToolCall
 from .response_function_web_search import ResponseFunctionWebSearch
 from .response_apply_patch_tool_call import ResponseApplyPatchToolCall
 from .response_file_search_tool_call import ResponseFileSearchToolCall
+from .response_tool_search_output_item import ResponseToolSearchOutputItem
 from .response_function_shell_tool_call import ResponseFunctionShellToolCall
 from .response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
 from .response_apply_patch_tool_call_output import ResponseApplyPatchToolCallOutput
+from .response_custom_tool_call_output_item import ResponseCustomToolCallOutputItem
+from .response_computer_tool_call_output_item import ResponseComputerToolCallOutputItem
+from .response_function_tool_call_output_item import ResponseFunctionToolCallOutputItem
 from .response_function_shell_tool_call_output import ResponseFunctionShellToolCallOutput
 
 __all__ = ["ParsedResponse", "ParsedResponseOutputMessage", "ParsedResponseOutputText"]
@@ -70,20 +77,27 @@ class ParsedResponseFunctionToolCall(ResponseFunctionToolCall):
         ResponseFileSearchToolCall,
         ResponseFunctionWebSearch,
         ResponseComputerToolCall,
+        ResponseComputerToolCallOutputItem,
+        ResponseToolSearchCall,
+        ResponseToolSearchOutputItem,
         ResponseReasoningItem,
         McpCall,
         McpApprovalRequest,
+        McpApprovalResponse,
         ImageGenerationCall,
         LocalShellCall,
+        LocalShellCallOutput,
         LocalShellCallAction,
         McpListTools,
         ResponseCodeInterpreterToolCall,
-        ResponseCustomToolCall,
         ResponseCompactionItem,
         ResponseFunctionShellToolCall,
         ResponseFunctionShellToolCallOutput,
         ResponseApplyPatchToolCall,
         ResponseApplyPatchToolCallOutput,
+        ResponseFunctionToolCallOutputItem,
+        ResponseCustomToolCall,
+        ResponseCustomToolCallOutputItem,
     ],
     PropertyInfo(discriminator="type"),
 ]
diff --git a/portkey_ai/_vendor/openai/types/responses/response.py b/portkey_ai/_vendor/openai/types/responses/response.py
index 6bac7d65..ada0783b 100644
--- a/portkey_ai/_vendor/openai/types/responses/response.py
+++ b/portkey_ai/_vendor/openai/types/responses/response.py
@@ -233,8 +233,9 @@ class Response(BaseModel):
     """
     A stable identifier used to help detect users of your application that may be
     violating OpenAI's usage policies. The IDs should be a string that uniquely
-    identifies each user. We recommend hashing their username or email address, in
-    order to avoid sending us any identifying information.
+    identifies each user, with a maximum length of 64 characters. We recommend
+    hashing their username or email address, in order to avoid sending us any
+    identifying information.
     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
     """
 
diff --git a/portkey_ai/_vendor/openai/types/responses/response_compact_params.py b/portkey_ai/_vendor/openai/types/responses/response_compact_params.py
index 657c6a07..0b163a9e 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_compact_params.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_compact_params.py
@@ -14,6 +14,12 @@ class ResponseCompactParams(TypedDict, total=False):
     model: Required[
         Union[
             Literal[
+                "gpt-5.4",
+                "gpt-5.4-mini",
+                "gpt-5.4-nano",
+                "gpt-5.4-mini-2026-03-17",
+                "gpt-5.4-nano-2026-03-17",
+                "gpt-5.3-chat-latest",
                 "gpt-5.2",
                 "gpt-5.2-2025-12-11",
                 "gpt-5.2-chat-latest",
@@ -131,3 +137,6 @@ class ResponseCompactParams(TypedDict, total=False):
     [conversation state](https://platform.openai.com/docs/guides/conversation-state).
     Cannot be used in conjunction with `conversation`.
     """
+
+    prompt_cache_key: Optional[str]
+    """A key to use when reading from or writing to the prompt cache."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py
index 4e1b3cf7..e0339e4a 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py
@@ -5,9 +5,11 @@
 
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
+from .computer_action_list import ComputerActionList
 
 __all__ = [
     "ResponseComputerToolCall",
+    "PendingSafetyCheck",
     "Action",
     "ActionClick",
     "ActionDoubleClick",
@@ -19,10 +21,22 @@
     "ActionScroll",
     "ActionType",
     "ActionWait",
-    "PendingSafetyCheck",
 ]
 
 
+class PendingSafetyCheck(BaseModel):
+    """A pending safety check for the computer call."""
+
+    id: str
+    """The ID of the pending safety check."""
+
+    code: Optional[str] = None
+    """The type of the pending safety check."""
+
+    message: Optional[str] = None
+    """Details about the pending safety check."""
+
+
 class ActionClick(BaseModel):
     """A click action."""
 
@@ -41,10 +55,16 @@ class ActionClick(BaseModel):
     y: int
     """The y-coordinate where the click occurred."""
 
+    keys: Optional[List[str]] = None
+    """The keys being held while clicking."""
+
 
 class ActionDoubleClick(BaseModel):
     """A double click action."""
 
+    keys: Optional[List[str]] = None
+    """The keys being held while double-clicking."""
+
     type: Literal["double_click"]
     """Specifies the event type.
 
@@ -90,6 +110,9 @@ class ActionDrag(BaseModel):
     For a drag action, this property is always set to `drag`.
     """
 
+    keys: Optional[List[str]] = None
+    """The keys being held while dragging the mouse."""
+
 
 class ActionKeypress(BaseModel):
     """A collection of keypresses the model would like to perform."""
@@ -122,6 +145,9 @@ class ActionMove(BaseModel):
     y: int
     """The y-coordinate to move to."""
 
+    keys: Optional[List[str]] = None
+    """The keys being held while moving the mouse."""
+
 
 class ActionScreenshot(BaseModel):
     """A screenshot action."""
@@ -154,6 +180,9 @@ class ActionScroll(BaseModel):
     y: int
     """The y-coordinate where the scroll occurred."""
 
+    keys: Optional[List[str]] = None
+    """The keys being held while scrolling."""
+
 
 class ActionType(BaseModel):
     """An action to type in text."""
@@ -194,19 +223,6 @@ class ActionWait(BaseModel):
 ]
 
 
-class PendingSafetyCheck(BaseModel):
-    """A pending safety check for the computer call."""
-
-    id: str
-    """The ID of the pending safety check."""
-
-    code: Optional[str] = None
-    """The type of the pending safety check."""
-
-    message: Optional[str] = None
-    """Details about the pending safety check."""
-
-
 class ResponseComputerToolCall(BaseModel):
     """A tool call to a computer use tool.
 
@@ -217,9 +233,6 @@ class ResponseComputerToolCall(BaseModel):
     id: str
     """The unique ID of the computer call."""
 
-    action: Action
-    """A click action."""
-
     call_id: str
     """An identifier used when responding to the tool call with output."""
 
@@ -235,3 +248,12 @@ class ResponseComputerToolCall(BaseModel):
 
     type: Literal["computer_call"]
     """The type of the computer call. Always `computer_call`."""
+
+    action: Optional[Action] = None
+    """A click action."""
+
+    actions: Optional[ComputerActionList] = None
+    """Flattened batched actions for `computer_use`.
+
+    Each action includes an `type` discriminator and action-specific fields.
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py
index 90e935c3..bf5555d0 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py
@@ -32,6 +32,13 @@ class ResponseComputerToolCallOutputItem(BaseModel):
     output: ResponseComputerToolCallOutputScreenshot
     """A computer screenshot image used with the computer use tool."""
 
+    status: Literal["completed", "incomplete", "failed", "in_progress"]
+    """The status of the message input.
+
+    One of `in_progress`, `completed`, or `incomplete`. Populated when input items
+    are returned via API.
+    """
+
     type: Literal["computer_call_output"]
     """The type of the computer tool call output. Always `computer_call_output`."""
 
@@ -41,9 +48,5 @@ class ResponseComputerToolCallOutputItem(BaseModel):
     developer.
     """
 
-    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
-    """The status of the message input.
-
-    One of `in_progress`, `completed`, or `incomplete`. Populated when input items
-    are returned via API.
-    """
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py
index 550ba599..3c121097 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py
@@ -6,9 +6,11 @@
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..._types import SequenceNotStr
+from .computer_action_list_param import ComputerActionListParam
 
 __all__ = [
     "ResponseComputerToolCallParam",
+    "PendingSafetyCheck",
     "Action",
     "ActionClick",
     "ActionDoubleClick",
@@ -20,10 +22,22 @@
     "ActionScroll",
     "ActionType",
     "ActionWait",
-    "PendingSafetyCheck",
 ]
 
 
+class PendingSafetyCheck(TypedDict, total=False):
+    """A pending safety check for the computer call."""
+
+    id: Required[str]
+    """The ID of the pending safety check."""
+
+    code: Optional[str]
+    """The type of the pending safety check."""
+
+    message: Optional[str]
+    """Details about the pending safety check."""
+
+
 class ActionClick(TypedDict, total=False):
     """A click action."""
 
@@ -42,10 +56,16 @@ class ActionClick(TypedDict, total=False):
     y: Required[int]
     """The y-coordinate where the click occurred."""
 
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while clicking."""
+
 
 class ActionDoubleClick(TypedDict, total=False):
     """A double click action."""
 
+    keys: Required[Optional[SequenceNotStr[str]]]
+    """The keys being held while double-clicking."""
+
     type: Required[Literal["double_click"]]
     """Specifies the event type.
 
@@ -91,6 +111,9 @@ class ActionDrag(TypedDict, total=False):
     For a drag action, this property is always set to `drag`.
     """
 
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while dragging the mouse."""
+
 
 class ActionKeypress(TypedDict, total=False):
     """A collection of keypresses the model would like to perform."""
@@ -123,6 +146,9 @@ class ActionMove(TypedDict, total=False):
     y: Required[int]
     """The y-coordinate to move to."""
 
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while moving the mouse."""
+
 
 class ActionScreenshot(TypedDict, total=False):
     """A screenshot action."""
@@ -155,6 +181,9 @@ class ActionScroll(TypedDict, total=False):
     y: Required[int]
     """The y-coordinate where the scroll occurred."""
 
+    keys: Optional[SequenceNotStr[str]]
+    """The keys being held while scrolling."""
+
 
 class ActionType(TypedDict, total=False):
     """An action to type in text."""
@@ -192,19 +221,6 @@ class ActionWait(TypedDict, total=False):
 ]
 
 
-class PendingSafetyCheck(TypedDict, total=False):
-    """A pending safety check for the computer call."""
-
-    id: Required[str]
-    """The ID of the pending safety check."""
-
-    code: Optional[str]
-    """The type of the pending safety check."""
-
-    message: Optional[str]
-    """Details about the pending safety check."""
-
-
 class ResponseComputerToolCallParam(TypedDict, total=False):
     """A tool call to a computer use tool.
 
@@ -215,9 +231,6 @@ class ResponseComputerToolCallParam(TypedDict, total=False):
     id: Required[str]
     """The unique ID of the computer call."""
 
-    action: Required[Action]
-    """A click action."""
-
     call_id: Required[str]
     """An identifier used when responding to the tool call with output."""
 
@@ -233,3 +246,12 @@ class ResponseComputerToolCallParam(TypedDict, total=False):
 
     type: Required[Literal["computer_call"]]
     """The type of the computer call. Always `computer_call`."""
+
+    action: Action
+    """A click action."""
+
+    actions: ComputerActionListParam
+    """Flattened batched actions for `computer_use`.
+
+    Each action includes an `type` discriminator and action-specific fields.
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/response_container_reference.py b/portkey_ai/_vendor/openai/types/responses/response_container_reference.py
new file mode 100644
index 00000000..81f5bd8d
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_container_reference.py
@@ -0,0 +1,16 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ResponseContainerReference"]
+
+
+class ResponseContainerReference(BaseModel):
+    """Represents a container created with /v1/containers."""
+
+    container_id: str
+
+    type: Literal["container_reference"]
+    """The environment type. Always `container_reference`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_conversation_param.py b/portkey_ai/_vendor/openai/types/responses/response_conversation_param.py
index d1587fe6..7db4129b 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_conversation_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_conversation_param.py
@@ -1,14 +1,12 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from __future__ import annotations
-
-from typing_extensions import Required, TypedDict
+from ..._models import BaseModel
 
 __all__ = ["ResponseConversationParam"]
 
 
-class ResponseConversationParam(TypedDict, total=False):
+class ResponseConversationParam(BaseModel):
     """The conversation that this response belongs to."""
 
-    id: Required[str]
+    id: str
     """The unique ID of the conversation."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_conversation_param_param.py b/portkey_ai/_vendor/openai/types/responses/response_conversation_param_param.py
new file mode 100644
index 00000000..dba3628d
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_conversation_param_param.py
@@ -0,0 +1,14 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Required, TypedDict
+
+__all__ = ["ResponseConversationParamParam"]
+
+
+class ResponseConversationParamParam(TypedDict, total=False):
+    """The conversation that this response belongs to."""
+
+    id: Required[str]
+    """The unique ID of the conversation."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_create_params.py b/portkey_ai/_vendor/openai/types/responses/response_create_params.py
index 15844c65..bf7170da 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_create_params.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_create_params.py
@@ -19,12 +19,13 @@
 from .tool_choice_allowed_param import ToolChoiceAllowedParam
 from .response_text_config_param import ResponseTextConfigParam
 from .tool_choice_function_param import ToolChoiceFunctionParam
-from .response_conversation_param import ResponseConversationParam
 from .tool_choice_apply_patch_param import ToolChoiceApplyPatchParam
 from ..shared_params.responses_model import ResponsesModel
+from .response_conversation_param_param import ResponseConversationParamParam
 
 __all__ = [
     "ResponseCreateParamsBase",
+    "ContextManagement",
     "Conversation",
     "StreamOptions",
     "ToolChoice",
@@ -40,6 +41,9 @@ class ResponseCreateParamsBase(TypedDict, total=False):
     [Learn more](https://platform.openai.com/docs/guides/background).
     """
 
+    context_management: Optional[Iterable[ContextManagement]]
+    """Context management configuration for this request."""
+
     conversation: Optional[Conversation]
     """The conversation that this response belongs to.
 
@@ -167,8 +171,9 @@ class ResponseCreateParamsBase(TypedDict, total=False):
     """
     A stable identifier used to help detect users of your application that may be
     violating OpenAI's usage policies. The IDs should be a string that uniquely
-    identifies each user. We recommend hashing their username or email address, in
-    order to avoid sending us any identifying information.
+    identifies each user, with a maximum length of 64 characters. We recommend
+    hashing their username or email address, in order to avoid sending us any
+    identifying information.
     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
     """
 
@@ -279,7 +284,15 @@ class ResponseCreateParamsBase(TypedDict, total=False):
     """
 
 
-Conversation: TypeAlias = Union[str, ResponseConversationParam]
+class ContextManagement(TypedDict, total=False):
+    type: Required[str]
+    """The context management entry type. Currently only 'compaction' is supported."""
+
+    compact_threshold: Optional[int]
+    """Token threshold at which compaction should be triggered for this entry."""
+
+
+Conversation: TypeAlias = Union[str, ResponseConversationParamParam]
 
 
 class StreamOptions(TypedDict, total=False):
diff --git a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call.py
index f0574396..965ed88f 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call.py
@@ -25,3 +25,6 @@ class ResponseCustomToolCall(BaseModel):
 
     id: Optional[str] = None
     """The unique ID of the custom tool call in the OpenAI platform."""
+
+    namespace: Optional[str] = None
+    """The namespace of the custom tool being called."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_item.py b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_item.py
new file mode 100644
index 00000000..4f0f9306
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_item.py
@@ -0,0 +1,25 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from .response_custom_tool_call import ResponseCustomToolCall
+
+__all__ = ["ResponseCustomToolCallItem"]
+
+
+class ResponseCustomToolCallItem(ResponseCustomToolCall):
+    """A call to a custom tool created by the model."""
+
+    id: str  # type: ignore
+    """The unique ID of the custom tool call item."""
+
+    status: Literal["in_progress", "completed", "incomplete"]
+    """The status of the item.
+
+    One of `in_progress`, `completed`, or `incomplete`. Populated when items are
+    returned via API.
+    """
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_output_item.py
new file mode 100644
index 00000000..5e5a469e
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_output_item.py
@@ -0,0 +1,25 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from .response_custom_tool_call_output import ResponseCustomToolCallOutput
+
+__all__ = ["ResponseCustomToolCallOutputItem"]
+
+
+class ResponseCustomToolCallOutputItem(ResponseCustomToolCallOutput):
+    """The output of a custom tool call from your code, being sent back to the model."""
+
+    id: str  # type: ignore
+    """The unique ID of the custom tool call output item."""
+
+    status: Literal["in_progress", "completed", "incomplete"]
+    """The status of the item.
+
+    One of `in_progress`, `completed`, or `incomplete`. Populated when items are
+    returned via API.
+    """
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_param.py b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_param.py
index 5d4ce337..9f82546e 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_custom_tool_call_param.py
@@ -24,3 +24,6 @@ class ResponseCustomToolCallParam(TypedDict, total=False):
 
     id: str
     """The unique ID of the custom tool call in the OpenAI platform."""
+
+    namespace: str
+    """The namespace of the custom tool being called."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_shell_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_function_shell_tool_call.py
index 7c6a184e..22c75cf0 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_shell_tool_call.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_shell_tool_call.py
@@ -1,11 +1,14 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Optional
-from typing_extensions import Literal
+from typing import List, Union, Optional
+from typing_extensions import Literal, Annotated, TypeAlias
 
+from ..._utils import PropertyInfo
 from ..._models import BaseModel
+from .response_local_environment import ResponseLocalEnvironment
+from .response_container_reference import ResponseContainerReference
 
-__all__ = ["ResponseFunctionShellToolCall", "Action"]
+__all__ = ["ResponseFunctionShellToolCall", "Action", "Environment"]
 
 
 class Action(BaseModel):
@@ -20,6 +23,11 @@ class Action(BaseModel):
     """Optional timeout in milliseconds for the commands."""
 
 
+Environment: TypeAlias = Annotated[
+    Union[ResponseLocalEnvironment, ResponseContainerReference, None], PropertyInfo(discriminator="type")
+]
+
+
 class ResponseFunctionShellToolCall(BaseModel):
     """A tool call that executes one or more shell commands in a managed environment."""
 
@@ -35,6 +43,9 @@ class ResponseFunctionShellToolCall(BaseModel):
     call_id: str
     """The unique ID of the shell tool call generated by the model."""
 
+    environment: Optional[Environment] = None
+    """Represents the use of a local environment to perform shell actions."""
+
     status: Literal["in_progress", "completed", "incomplete"]
     """The status of the shell call.
 
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call.py
index 194e3f7d..3ff4c67a 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call.py
@@ -30,6 +30,9 @@ class ResponseFunctionToolCall(BaseModel):
     id: Optional[str] = None
     """The unique ID of the function tool call."""
 
+    namespace: Optional[str] = None
+    """The namespace of the function to run."""
+
     status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
     """The status of the item.
 
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_item.py b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_item.py
index 3df299e5..c8a44889 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_item.py
@@ -1,5 +1,8 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
+from typing import Optional
+from typing_extensions import Literal
+
 from .response_function_tool_call import ResponseFunctionToolCall
 
 __all__ = ["ResponseFunctionToolCallItem"]
@@ -14,3 +17,13 @@ class ResponseFunctionToolCallItem(ResponseFunctionToolCall):
 
     id: str  # type: ignore
     """The unique ID of the function tool call."""
+
+    status: Literal["in_progress", "completed", "incomplete"]  # type: ignore
+    """The status of the item.
+
+    One of `in_progress`, `completed`, or `incomplete`. Populated when items are
+    returned via API.
+    """
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_output_item.py
index 1a2c848c..e40feeb3 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_output_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_output_item.py
@@ -29,12 +29,15 @@ class ResponseFunctionToolCallOutputItem(BaseModel):
     list of output content.
     """
 
-    type: Literal["function_call_output"]
-    """The type of the function tool call output. Always `function_call_output`."""
-
-    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
+    status: Literal["in_progress", "completed", "incomplete"]
     """The status of the item.
 
     One of `in_progress`, `completed`, or `incomplete`. Populated when items are
     returned via API.
     """
+
+    type: Literal["function_call_output"]
+    """The type of the function tool call output. Always `function_call_output`."""
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_param.py b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_param.py
index 4e8dd3d6..5183e9e2 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_tool_call_param.py
@@ -29,6 +29,9 @@ class ResponseFunctionToolCallParam(TypedDict, total=False):
     id: str
     """The unique ID of the function tool call."""
 
+    namespace: str
+    """The namespace of the function to run."""
+
     status: Literal["in_progress", "completed", "incomplete"]
     """The status of the item.
 
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_web_search.py b/portkey_ai/_vendor/openai/types/responses/response_function_web_search.py
index 0cb7e0b0..de6001e1 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_web_search.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_web_search.py
@@ -6,7 +6,14 @@
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
 
-__all__ = ["ResponseFunctionWebSearch", "Action", "ActionSearch", "ActionSearchSource", "ActionOpenPage", "ActionFind"]
+__all__ = [
+    "ResponseFunctionWebSearch",
+    "Action",
+    "ActionSearch",
+    "ActionSearchSource",
+    "ActionOpenPage",
+    "ActionFind",
+]
 
 
 class ActionSearchSource(BaseModel):
@@ -41,17 +48,17 @@ class ActionOpenPage(BaseModel):
     type: Literal["open_page"]
     """The action type."""
 
-    url: str
+    url: Optional[str] = None
     """The URL opened by the model."""
 
 
 class ActionFind(BaseModel):
-    """Action type "find": Searches for a pattern within a loaded page."""
+    """Action type "find_in_page": Searches for a pattern within a loaded page."""
 
     pattern: str
     """The pattern or text to search for within the page."""
 
-    type: Literal["find"]
+    type: Literal["find_in_page"]
     """The action type."""
 
     url: str
@@ -74,7 +81,7 @@ class ResponseFunctionWebSearch(BaseModel):
     action: Action
     """
     An object describing the specific action taken in this web search call. Includes
-    details on how the model used the web (search, open_page, find).
+    details on how the model used the web (search, open_page, find_in_page).
     """
 
     status: Literal["in_progress", "searching", "completed", "failed"]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_function_web_search_param.py b/portkey_ai/_vendor/openai/types/responses/response_function_web_search_param.py
index 7db3e3c8..15e313b0 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_function_web_search_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_function_web_search_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union, Iterable
+from typing import Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..._types import SequenceNotStr
@@ -49,17 +49,17 @@ class ActionOpenPage(TypedDict, total=False):
     type: Required[Literal["open_page"]]
     """The action type."""
 
-    url: Required[str]
+    url: Optional[str]
     """The URL opened by the model."""
 
 
 class ActionFind(TypedDict, total=False):
-    """Action type "find": Searches for a pattern within a loaded page."""
+    """Action type "find_in_page": Searches for a pattern within a loaded page."""
 
     pattern: Required[str]
     """The pattern or text to search for within the page."""
 
-    type: Required[Literal["find"]]
+    type: Required[Literal["find_in_page"]]
     """The action type."""
 
     url: Required[str]
@@ -82,7 +82,7 @@ class ResponseFunctionWebSearchParam(TypedDict, total=False):
     action: Required[Action]
     """
     An object describing the specific action taken in this web search call. Includes
-    details on how the model used the web (search, open_page, find).
+    details on how the model used the web (search, open_page, find_in_page).
     """
 
     status: Required[Literal["in_progress", "searching", "completed", "failed"]]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input.py b/portkey_ai/_vendor/openai/types/responses/response_input.py
new file mode 100644
index 00000000..e2180dec
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_input.py
@@ -0,0 +1,10 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List
+from typing_extensions import TypeAlias
+
+from .response_input_item import ResponseInputItem
+
+__all__ = ["ResponseInput"]
+
+ResponseInput: TypeAlias = List[ResponseInputItem]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_image.py b/portkey_ai/_vendor/openai/types/responses/response_input_image.py
index 500bc4b3..63c4b42c 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_image.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_image.py
@@ -14,10 +14,10 @@ class ResponseInputImage(BaseModel):
     Learn about [image inputs](https://platform.openai.com/docs/guides/vision).
     """
 
-    detail: Literal["low", "high", "auto"]
+    detail: Literal["low", "high", "auto", "original"]
     """The detail level of the image to be sent to the model.
 
-    One of `high`, `low`, or `auto`. Defaults to `auto`.
+    One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.
     """
 
     type: Literal["input_image"]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_image_content.py b/portkey_ai/_vendor/openai/types/responses/response_input_image_content.py
index e38bc28d..d9619f65 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_image_content.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_image_content.py
@@ -17,10 +17,10 @@ class ResponseInputImageContent(BaseModel):
     type: Literal["input_image"]
     """The type of the input item. Always `input_image`."""
 
-    detail: Optional[Literal["low", "high", "auto"]] = None
+    detail: Optional[Literal["low", "high", "auto", "original"]] = None
     """The detail level of the image to be sent to the model.
 
-    One of `high`, `low`, or `auto`. Defaults to `auto`.
+    One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.
     """
 
     file_id: Optional[str] = None
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_image_content_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_image_content_param.py
index c21f46d7..743642d4 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_image_content_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_image_content_param.py
@@ -17,10 +17,10 @@ class ResponseInputImageContentParam(TypedDict, total=False):
     type: Required[Literal["input_image"]]
     """The type of the input item. Always `input_image`."""
 
-    detail: Optional[Literal["low", "high", "auto"]]
+    detail: Optional[Literal["low", "high", "auto", "original"]]
     """The detail level of the image to be sent to the model.
 
-    One of `high`, `low`, or `auto`. Defaults to `auto`.
+    One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.
     """
 
     file_id: Optional[str]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_image_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_image_param.py
index fd8c1bd0..118f0b5f 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_image_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_image_param.py
@@ -14,10 +14,10 @@ class ResponseInputImageParam(TypedDict, total=False):
     Learn about [image inputs](https://platform.openai.com/docs/guides/vision).
     """
 
-    detail: Required[Literal["low", "high", "auto"]]
+    detail: Required[Literal["low", "high", "auto", "original"]]
     """The detail level of the image to be sent to the model.
 
-    One of `high`, `low`, or `auto`. Defaults to `auto`.
+    One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.
     """
 
     type: Required[Literal["input_image"]]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_item.py b/portkey_ai/_vendor/openai/types/responses/response_input_item.py
index 23eb2c89..af3ce5bd 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_item.py
@@ -5,7 +5,9 @@
 
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
+from .local_environment import LocalEnvironment
 from .easy_input_message import EasyInputMessage
+from .container_reference import ContainerReference
 from .response_output_message import ResponseOutputMessage
 from .response_reasoning_item import ResponseReasoningItem
 from .response_custom_tool_call import ResponseCustomToolCall
@@ -17,6 +19,7 @@
 from .response_custom_tool_call_output import ResponseCustomToolCallOutput
 from .response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
 from .response_input_message_content_list import ResponseInputMessageContentList
+from .response_tool_search_output_item_param import ResponseToolSearchOutputItemParam
 from .response_function_call_output_item_list import ResponseFunctionCallOutputItemList
 from .response_function_shell_call_output_content import ResponseFunctionShellCallOutputContent
 from .response_computer_tool_call_output_screenshot import ResponseComputerToolCallOutputScreenshot
@@ -27,12 +30,14 @@
     "ComputerCallOutput",
     "ComputerCallOutputAcknowledgedSafetyCheck",
     "FunctionCallOutput",
+    "ToolSearchCall",
     "ImageGenerationCall",
     "LocalShellCall",
     "LocalShellCallAction",
     "LocalShellCallOutput",
     "ShellCall",
     "ShellCallAction",
+    "ShellCallEnvironment",
     "ShellCallOutput",
     "ApplyPatchCall",
     "ApplyPatchCallOperation",
@@ -144,6 +149,26 @@ class FunctionCallOutput(BaseModel):
     """
 
 
+class ToolSearchCall(BaseModel):
+    arguments: object
+    """The arguments supplied to the tool search call."""
+
+    type: Literal["tool_search_call"]
+    """The item type. Always `tool_search_call`."""
+
+    id: Optional[str] = None
+    """The unique ID of this tool search call."""
+
+    call_id: Optional[str] = None
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Optional[Literal["server", "client"]] = None
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
+    """The status of the tool search call."""
+
+
 class ImageGenerationCall(BaseModel):
     """An image generation request made by the model."""
 
@@ -233,6 +258,11 @@ class ShellCallAction(BaseModel):
     """Maximum wall-clock time in milliseconds to allow the shell commands to run."""
 
 
+ShellCallEnvironment: TypeAlias = Annotated[
+    Union[LocalEnvironment, ContainerReference, None], PropertyInfo(discriminator="type")
+]
+
+
 class ShellCall(BaseModel):
     """A tool representing a request to execute one or more shell commands."""
 
@@ -251,6 +281,9 @@ class ShellCall(BaseModel):
     Populated when this item is returned via API.
     """
 
+    environment: Optional[ShellCallEnvironment] = None
+    """The environment to execute the shell commands in."""
+
     status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
     """The status of the shell call.
 
@@ -285,6 +318,9 @@ class ShellCallOutput(BaseModel):
     output.
     """
 
+    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
+    """The status of the shell call output."""
+
 
 class ApplyPatchCallOperationCreateFile(BaseModel):
     """Instruction for creating a new file via the apply_patch tool."""
@@ -512,6 +548,8 @@ class ItemReference(BaseModel):
         ResponseFunctionWebSearch,
         ResponseFunctionToolCall,
         FunctionCallOutput,
+        ToolSearchCall,
+        ResponseToolSearchOutputItemParam,
         ResponseReasoningItem,
         ResponseCompactionItemParam,
         ImageGenerationCall,
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_item_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_item_param.py
index 2c42b930..87ea1bc5 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_item_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_item_param.py
@@ -6,7 +6,9 @@
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..._types import SequenceNotStr
+from .local_environment_param import LocalEnvironmentParam
 from .easy_input_message_param import EasyInputMessageParam
+from .container_reference_param import ContainerReferenceParam
 from .response_output_message_param import ResponseOutputMessageParam
 from .response_reasoning_item_param import ResponseReasoningItemParam
 from .response_custom_tool_call_param import ResponseCustomToolCallParam
@@ -18,6 +20,7 @@
 from .response_custom_tool_call_output_param import ResponseCustomToolCallOutputParam
 from .response_code_interpreter_tool_call_param import ResponseCodeInterpreterToolCallParam
 from .response_input_message_content_list_param import ResponseInputMessageContentListParam
+from .response_tool_search_output_item_param_param import ResponseToolSearchOutputItemParamParam
 from .response_function_call_output_item_list_param import ResponseFunctionCallOutputItemListParam
 from .response_function_shell_call_output_content_param import ResponseFunctionShellCallOutputContentParam
 from .response_computer_tool_call_output_screenshot_param import ResponseComputerToolCallOutputScreenshotParam
@@ -28,12 +31,14 @@
     "ComputerCallOutput",
     "ComputerCallOutputAcknowledgedSafetyCheck",
     "FunctionCallOutput",
+    "ToolSearchCall",
     "ImageGenerationCall",
     "LocalShellCall",
     "LocalShellCallAction",
     "LocalShellCallOutput",
     "ShellCall",
     "ShellCallAction",
+    "ShellCallEnvironment",
     "ShellCallOutput",
     "ApplyPatchCall",
     "ApplyPatchCallOperation",
@@ -145,6 +150,26 @@ class FunctionCallOutput(TypedDict, total=False):
     """
 
 
+class ToolSearchCall(TypedDict, total=False):
+    arguments: Required[object]
+    """The arguments supplied to the tool search call."""
+
+    type: Required[Literal["tool_search_call"]]
+    """The item type. Always `tool_search_call`."""
+
+    id: Optional[str]
+    """The unique ID of this tool search call."""
+
+    call_id: Optional[str]
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]]
+    """The status of the tool search call."""
+
+
 class ImageGenerationCall(TypedDict, total=False):
     """An image generation request made by the model."""
 
@@ -234,6 +259,9 @@ class ShellCallAction(TypedDict, total=False):
     """Maximum wall-clock time in milliseconds to allow the shell commands to run."""
 
 
+ShellCallEnvironment: TypeAlias = Union[LocalEnvironmentParam, ContainerReferenceParam]
+
+
 class ShellCall(TypedDict, total=False):
     """A tool representing a request to execute one or more shell commands."""
 
@@ -252,6 +280,9 @@ class ShellCall(TypedDict, total=False):
     Populated when this item is returned via API.
     """
 
+    environment: Optional[ShellCallEnvironment]
+    """The environment to execute the shell commands in."""
+
     status: Optional[Literal["in_progress", "completed", "incomplete"]]
     """The status of the shell call.
 
@@ -286,6 +317,9 @@ class ShellCallOutput(TypedDict, total=False):
     output.
     """
 
+    status: Optional[Literal["in_progress", "completed", "incomplete"]]
+    """The status of the shell call output."""
+
 
 class ApplyPatchCallOperationCreateFile(TypedDict, total=False):
     """Instruction for creating a new file via the apply_patch tool."""
@@ -511,6 +545,8 @@ class ItemReference(TypedDict, total=False):
     ResponseFunctionWebSearchParam,
     ResponseFunctionToolCallParam,
     FunctionCallOutput,
+    ToolSearchCall,
+    ResponseToolSearchOutputItemParamParam,
     ResponseReasoningItemParam,
     ResponseCompactionItemParamParam,
     ImageGenerationCall,
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_message_item.py b/portkey_ai/_vendor/openai/types/responses/response_input_message_item.py
index 6a788e7f..788c92c9 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_message_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_message_item.py
@@ -22,12 +22,12 @@ class ResponseInputMessageItem(BaseModel):
     role: Literal["user", "system", "developer"]
     """The role of the message input. One of `user`, `system`, or `developer`."""
 
+    type: Literal["message"]
+    """The type of the message input. Always set to `message`."""
+
     status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
     """The status of item.
 
     One of `in_progress`, `completed`, or `incomplete`. Populated when items are
     returned via API.
     """
-
-    type: Optional[Literal["message"]] = None
-    """The type of the message input. Always set to `message`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_param.py
index c2d12c0a..cf4d5295 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_input_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_input_param.py
@@ -6,7 +6,9 @@
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..._types import SequenceNotStr
+from .local_environment_param import LocalEnvironmentParam
 from .easy_input_message_param import EasyInputMessageParam
+from .container_reference_param import ContainerReferenceParam
 from .response_output_message_param import ResponseOutputMessageParam
 from .response_reasoning_item_param import ResponseReasoningItemParam
 from .response_custom_tool_call_param import ResponseCustomToolCallParam
@@ -18,6 +20,7 @@
 from .response_custom_tool_call_output_param import ResponseCustomToolCallOutputParam
 from .response_code_interpreter_tool_call_param import ResponseCodeInterpreterToolCallParam
 from .response_input_message_content_list_param import ResponseInputMessageContentListParam
+from .response_tool_search_output_item_param_param import ResponseToolSearchOutputItemParamParam
 from .response_function_call_output_item_list_param import ResponseFunctionCallOutputItemListParam
 from .response_function_shell_call_output_content_param import ResponseFunctionShellCallOutputContentParam
 from .response_computer_tool_call_output_screenshot_param import ResponseComputerToolCallOutputScreenshotParam
@@ -29,12 +32,14 @@
     "ComputerCallOutput",
     "ComputerCallOutputAcknowledgedSafetyCheck",
     "FunctionCallOutput",
+    "ToolSearchCall",
     "ImageGenerationCall",
     "LocalShellCall",
     "LocalShellCallAction",
     "LocalShellCallOutput",
     "ShellCall",
     "ShellCallAction",
+    "ShellCallEnvironment",
     "ShellCallOutput",
     "ApplyPatchCall",
     "ApplyPatchCallOperation",
@@ -146,6 +151,26 @@ class FunctionCallOutput(TypedDict, total=False):
     """
 
 
+class ToolSearchCall(TypedDict, total=False):
+    arguments: Required[object]
+    """The arguments supplied to the tool search call."""
+
+    type: Required[Literal["tool_search_call"]]
+    """The item type. Always `tool_search_call`."""
+
+    id: Optional[str]
+    """The unique ID of this tool search call."""
+
+    call_id: Optional[str]
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]]
+    """The status of the tool search call."""
+
+
 class ImageGenerationCall(TypedDict, total=False):
     """An image generation request made by the model."""
 
@@ -235,6 +260,9 @@ class ShellCallAction(TypedDict, total=False):
     """Maximum wall-clock time in milliseconds to allow the shell commands to run."""
 
 
+ShellCallEnvironment: TypeAlias = Union[LocalEnvironmentParam, ContainerReferenceParam]
+
+
 class ShellCall(TypedDict, total=False):
     """A tool representing a request to execute one or more shell commands."""
 
@@ -253,6 +281,9 @@ class ShellCall(TypedDict, total=False):
     Populated when this item is returned via API.
     """
 
+    environment: Optional[ShellCallEnvironment]
+    """The environment to execute the shell commands in."""
+
     status: Optional[Literal["in_progress", "completed", "incomplete"]]
     """The status of the shell call.
 
@@ -287,6 +318,9 @@ class ShellCallOutput(TypedDict, total=False):
     output.
     """
 
+    status: Optional[Literal["in_progress", "completed", "incomplete"]]
+    """The status of the shell call output."""
+
 
 class ApplyPatchCallOperationCreateFile(TypedDict, total=False):
     """Instruction for creating a new file via the apply_patch tool."""
@@ -512,6 +546,8 @@ class ItemReference(TypedDict, total=False):
     ResponseFunctionWebSearchParam,
     ResponseFunctionToolCallParam,
     FunctionCallOutput,
+    ToolSearchCall,
+    ResponseToolSearchOutputItemParamParam,
     ResponseReasoningItemParam,
     ResponseCompactionItemParamParam,
     ImageGenerationCall,
diff --git a/portkey_ai/_vendor/openai/types/responses/response_item.py b/portkey_ai/_vendor/openai/types/responses/response_item.py
index 3dba681d..721bf02e 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_item.py
@@ -6,15 +6,21 @@
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from .response_output_message import ResponseOutputMessage
+from .response_reasoning_item import ResponseReasoningItem
+from .response_compaction_item import ResponseCompactionItem
+from .response_tool_search_call import ResponseToolSearchCall
 from .response_computer_tool_call import ResponseComputerToolCall
 from .response_input_message_item import ResponseInputMessageItem
 from .response_function_web_search import ResponseFunctionWebSearch
 from .response_apply_patch_tool_call import ResponseApplyPatchToolCall
+from .response_custom_tool_call_item import ResponseCustomToolCallItem
 from .response_file_search_tool_call import ResponseFileSearchToolCall
 from .response_function_tool_call_item import ResponseFunctionToolCallItem
+from .response_tool_search_output_item import ResponseToolSearchOutputItem
 from .response_function_shell_tool_call import ResponseFunctionShellToolCall
 from .response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
 from .response_apply_patch_tool_call_output import ResponseApplyPatchToolCallOutput
+from .response_custom_tool_call_output_item import ResponseCustomToolCallOutputItem
 from .response_computer_tool_call_output_item import ResponseComputerToolCallOutputItem
 from .response_function_tool_call_output_item import ResponseFunctionToolCallOutputItem
 from .response_function_shell_tool_call_output import ResponseFunctionShellToolCallOutput
@@ -227,6 +233,10 @@ class McpCall(BaseModel):
         ResponseFunctionWebSearch,
         ResponseFunctionToolCallItem,
         ResponseFunctionToolCallOutputItem,
+        ResponseToolSearchCall,
+        ResponseToolSearchOutputItem,
+        ResponseReasoningItem,
+        ResponseCompactionItem,
         ImageGenerationCall,
         ResponseCodeInterpreterToolCall,
         LocalShellCall,
@@ -239,6 +249,8 @@ class McpCall(BaseModel):
         McpApprovalRequest,
         McpApprovalResponse,
         McpCall,
+        ResponseCustomToolCallItem,
+        ResponseCustomToolCallOutputItem,
     ],
     PropertyInfo(discriminator="type"),
 ]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_local_environment.py b/portkey_ai/_vendor/openai/types/responses/response_local_environment.py
new file mode 100644
index 00000000..6467fcb4
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_local_environment.py
@@ -0,0 +1,14 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ResponseLocalEnvironment"]
+
+
+class ResponseLocalEnvironment(BaseModel):
+    """Represents the use of a local environment to perform shell actions."""
+
+    type: Literal["local"]
+    """The environment type. Always `local`."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_output_item.py
index 990f947b..a4b23f26 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_output_item.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_output_item.py
@@ -9,14 +9,19 @@
 from .response_reasoning_item import ResponseReasoningItem
 from .response_compaction_item import ResponseCompactionItem
 from .response_custom_tool_call import ResponseCustomToolCall
+from .response_tool_search_call import ResponseToolSearchCall
 from .response_computer_tool_call import ResponseComputerToolCall
 from .response_function_tool_call import ResponseFunctionToolCall
 from .response_function_web_search import ResponseFunctionWebSearch
 from .response_apply_patch_tool_call import ResponseApplyPatchToolCall
 from .response_file_search_tool_call import ResponseFileSearchToolCall
+from .response_tool_search_output_item import ResponseToolSearchOutputItem
 from .response_function_shell_tool_call import ResponseFunctionShellToolCall
 from .response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
 from .response_apply_patch_tool_call_output import ResponseApplyPatchToolCallOutput
+from .response_custom_tool_call_output_item import ResponseCustomToolCallOutputItem
+from .response_computer_tool_call_output_item import ResponseComputerToolCallOutputItem
+from .response_function_tool_call_output_item import ResponseFunctionToolCallOutputItem
 from .response_function_shell_tool_call_output import ResponseFunctionShellToolCallOutput
 
 __all__ = [
@@ -24,10 +29,12 @@
     "ImageGenerationCall",
     "LocalShellCall",
     "LocalShellCallAction",
+    "LocalShellCallOutput",
     "McpCall",
     "McpListTools",
     "McpListToolsTool",
     "McpApprovalRequest",
+    "McpApprovalResponse",
 ]
 
 
@@ -88,6 +95,22 @@ class LocalShellCall(BaseModel):
     """The type of the local shell call. Always `local_shell_call`."""
 
 
+class LocalShellCallOutput(BaseModel):
+    """The output of a local shell tool call."""
+
+    id: str
+    """The unique ID of the local shell tool call generated by the model."""
+
+    output: str
+    """A JSON string of the output of the local shell tool call."""
+
+    type: Literal["local_shell_call_output"]
+    """The type of the local shell tool call output. Always `local_shell_call_output`."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
+    """The status of the item. One of `in_progress`, `completed`, or `incomplete`."""
+
+
 class McpCall(BaseModel):
     """An invocation of a tool on an MCP server."""
 
@@ -180,18 +203,42 @@ class McpApprovalRequest(BaseModel):
     """The type of the item. Always `mcp_approval_request`."""
 
 
+class McpApprovalResponse(BaseModel):
+    """A response to an MCP approval request."""
+
+    id: str
+    """The unique ID of the approval response"""
+
+    approval_request_id: str
+    """The ID of the approval request being answered."""
+
+    approve: bool
+    """Whether the request was approved."""
+
+    type: Literal["mcp_approval_response"]
+    """The type of the item. Always `mcp_approval_response`."""
+
+    reason: Optional[str] = None
+    """Optional reason for the decision."""
+
+
 ResponseOutputItem: TypeAlias = Annotated[
     Union[
         ResponseOutputMessage,
         ResponseFileSearchToolCall,
         ResponseFunctionToolCall,
+        ResponseFunctionToolCallOutputItem,
         ResponseFunctionWebSearch,
         ResponseComputerToolCall,
+        ResponseComputerToolCallOutputItem,
         ResponseReasoningItem,
+        ResponseToolSearchCall,
+        ResponseToolSearchOutputItem,
         ResponseCompactionItem,
         ImageGenerationCall,
         ResponseCodeInterpreterToolCall,
         LocalShellCall,
+        LocalShellCallOutput,
         ResponseFunctionShellToolCall,
         ResponseFunctionShellToolCallOutput,
         ResponseApplyPatchToolCall,
@@ -199,7 +246,9 @@ class McpApprovalRequest(BaseModel):
         McpCall,
         McpListTools,
         McpApprovalRequest,
+        McpApprovalResponse,
         ResponseCustomToolCall,
+        ResponseCustomToolCallOutputItem,
     ],
     PropertyInfo(discriminator="type"),
 ]
diff --git a/portkey_ai/_vendor/openai/types/responses/response_output_message.py b/portkey_ai/_vendor/openai/types/responses/response_output_message.py
index 9c1d1f97..760d72d5 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_output_message.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_output_message.py
@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Union
+from typing import List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from ..._utils import PropertyInfo
@@ -34,3 +34,11 @@ class ResponseOutputMessage(BaseModel):
 
     type: Literal["message"]
     """The type of the output message. Always `message`."""
+
+    phase: Optional[Literal["commentary", "final_answer"]] = None
+    """
+    Labels an `assistant` message as intermediate commentary (`commentary`) or the
+    final answer (`final_answer`). For models like `gpt-5.3-codex` and beyond, when
+    sending follow-up requests, preserve and resend phase on all assistant messages
+    — dropping it can degrade performance. Not used for user messages.
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/response_output_message_param.py b/portkey_ai/_vendor/openai/types/responses/response_output_message_param.py
index 9c2f5246..09fec5bd 100644
--- a/portkey_ai/_vendor/openai/types/responses/response_output_message_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/response_output_message_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union, Iterable
+from typing import Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .response_output_text_param import ResponseOutputTextParam
@@ -34,3 +34,11 @@ class ResponseOutputMessageParam(TypedDict, total=False):
 
     type: Required[Literal["message"]]
     """The type of the output message. Always `message`."""
+
+    phase: Optional[Literal["commentary", "final_answer"]]
+    """
+    Labels an `assistant` message as intermediate commentary (`commentary`) or the
+    final answer (`final_answer`). For models like `gpt-5.3-codex` and beyond, when
+    sending follow-up requests, preserve and resend phase on all assistant messages
+    — dropping it can degrade performance. Not used for user messages.
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/response_tool_search_call.py b/portkey_ai/_vendor/openai/types/responses/response_tool_search_call.py
new file mode 100644
index 00000000..495bf171
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_tool_search_call.py
@@ -0,0 +1,31 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ResponseToolSearchCall"]
+
+
+class ResponseToolSearchCall(BaseModel):
+    id: str
+    """The unique ID of the tool search call item."""
+
+    arguments: object
+    """Arguments used for the tool search call."""
+
+    call_id: Optional[str] = None
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Literal["in_progress", "completed", "incomplete"]
+    """The status of the tool search call item that was recorded."""
+
+    type: Literal["tool_search_call"]
+    """The type of the item. Always `tool_search_call`."""
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item.py
new file mode 100644
index 00000000..f8911dd4
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item.py
@@ -0,0 +1,32 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from .tool import Tool
+from ..._models import BaseModel
+
+__all__ = ["ResponseToolSearchOutputItem"]
+
+
+class ResponseToolSearchOutputItem(BaseModel):
+    id: str
+    """The unique ID of the tool search output item."""
+
+    call_id: Optional[str] = None
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Literal["in_progress", "completed", "incomplete"]
+    """The status of the tool search output item that was recorded."""
+
+    tools: List[Tool]
+    """The loaded tool definitions returned by tool search."""
+
+    type: Literal["tool_search_output"]
+    """The type of the item. Always `tool_search_output`."""
+
+    created_by: Optional[str] = None
+    """The identifier of the actor that created the item."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param.py b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param.py
new file mode 100644
index 00000000..f4d4ef34
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param.py
@@ -0,0 +1,29 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from .tool import Tool
+from ..._models import BaseModel
+
+__all__ = ["ResponseToolSearchOutputItemParam"]
+
+
+class ResponseToolSearchOutputItemParam(BaseModel):
+    tools: List[Tool]
+    """The loaded tool definitions returned by the tool search output."""
+
+    type: Literal["tool_search_output"]
+    """The item type. Always `tool_search_output`."""
+
+    id: Optional[str] = None
+    """The unique ID of this tool search output."""
+
+    call_id: Optional[str] = None
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Optional[Literal["server", "client"]] = None
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]] = None
+    """The status of the tool search output."""
diff --git a/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param_param.py b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param_param.py
new file mode 100644
index 00000000..28e9b1e1
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/response_tool_search_output_item_param_param.py
@@ -0,0 +1,30 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable, Optional
+from typing_extensions import Literal, Required, TypedDict
+
+from .tool_param import ToolParam
+
+__all__ = ["ResponseToolSearchOutputItemParamParam"]
+
+
+class ResponseToolSearchOutputItemParamParam(TypedDict, total=False):
+    tools: Required[Iterable[ToolParam]]
+    """The loaded tool definitions returned by the tool search output."""
+
+    type: Required[Literal["tool_search_output"]]
+    """The item type. Always `tool_search_output`."""
+
+    id: Optional[str]
+    """The unique ID of this tool search output."""
+
+    call_id: Optional[str]
+    """The unique ID of the tool search call generated by the model."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search was executed by the server or by the client."""
+
+    status: Optional[Literal["in_progress", "completed", "incomplete"]]
+    """The status of the tool search output."""
diff --git a/portkey_ai/_vendor/openai/types/responses/responses_client_event.py b/portkey_ai/_vendor/openai/types/responses/responses_client_event.py
new file mode 100644
index 00000000..2bc6f899
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/responses_client_event.py
@@ -0,0 +1,326 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Union, Optional
+from typing_extensions import Literal, TypeAlias
+
+from .tool import Tool
+from ..._models import BaseModel
+from .response_input import ResponseInput
+from .response_prompt import ResponsePrompt
+from .tool_choice_mcp import ToolChoiceMcp
+from ..shared.metadata import Metadata
+from ..shared.reasoning import Reasoning
+from .tool_choice_shell import ToolChoiceShell
+from .tool_choice_types import ToolChoiceTypes
+from .tool_choice_custom import ToolChoiceCustom
+from .response_includable import ResponseIncludable
+from .tool_choice_allowed import ToolChoiceAllowed
+from .tool_choice_options import ToolChoiceOptions
+from .response_text_config import ResponseTextConfig
+from .tool_choice_function import ToolChoiceFunction
+from ..shared.responses_model import ResponsesModel
+from .tool_choice_apply_patch import ToolChoiceApplyPatch
+from .response_conversation_param import ResponseConversationParam
+
+__all__ = ["ResponsesClientEvent", "ContextManagement", "Conversation", "StreamOptions", "ToolChoice"]
+
+
+class ContextManagement(BaseModel):
+    type: str
+    """The context management entry type. Currently only 'compaction' is supported."""
+
+    compact_threshold: Optional[int] = None
+    """Token threshold at which compaction should be triggered for this entry."""
+
+
+Conversation: TypeAlias = Union[str, ResponseConversationParam, None]
+
+
+class StreamOptions(BaseModel):
+    """Options for streaming responses. Only set this when you set `stream: true`."""
+
+    include_obfuscation: Optional[bool] = None
+    """When true, stream obfuscation will be enabled.
+
+    Stream obfuscation adds random characters to an `obfuscation` field on streaming
+    delta events to normalize payload sizes as a mitigation to certain side-channel
+    attacks. These obfuscation fields are included by default, but add a small
+    amount of overhead to the data stream. You can set `include_obfuscation` to
+    false to optimize for bandwidth if you trust the network links between your
+    application and the OpenAI API.
+    """
+
+
+ToolChoice: TypeAlias = Union[
+    ToolChoiceOptions,
+    ToolChoiceAllowed,
+    ToolChoiceTypes,
+    ToolChoiceFunction,
+    ToolChoiceMcp,
+    ToolChoiceCustom,
+    ToolChoiceApplyPatch,
+    ToolChoiceShell,
+]
+
+
+class ResponsesClientEvent(BaseModel):
+    type: Literal["response.create"]
+    """The type of the client event. Always `response.create`."""
+
+    background: Optional[bool] = None
+    """
+    Whether to run the model response in the background.
+    [Learn more](https://platform.openai.com/docs/guides/background).
+    """
+
+    context_management: Optional[List[ContextManagement]] = None
+    """Context management configuration for this request."""
+
+    conversation: Optional[Conversation] = None
+    """The conversation that this response belongs to.
+
+    Items from this conversation are prepended to `input_items` for this response
+    request. Input items and output items from this response are automatically added
+    to this conversation after this response completes.
+    """
+
+    include: Optional[List[ResponseIncludable]] = None
+    """Specify additional output data to include in the model response.
+
+    Currently supported values are:
+
+    - `web_search_call.action.sources`: Include the sources of the web search tool
+      call.
+    - `code_interpreter_call.outputs`: Includes the outputs of python code execution
+      in code interpreter tool call items.
+    - `computer_call_output.output.image_url`: Include image urls from the computer
+      call output.
+    - `file_search_call.results`: Include the search results of the file search tool
+      call.
+    - `message.input_image.image_url`: Include image urls from the input message.
+    - `message.output_text.logprobs`: Include logprobs with assistant messages.
+    - `reasoning.encrypted_content`: Includes an encrypted version of reasoning
+      tokens in reasoning item outputs. This enables reasoning items to be used in
+      multi-turn conversations when using the Responses API statelessly (like when
+      the `store` parameter is set to `false`, or when an organization is enrolled
+      in the zero data retention program).
+    """
+
+    input: Union[str, ResponseInput, None] = None
+    """Text, image, or file inputs to the model, used to generate a response.
+
+    Learn more:
+
+    - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+    - [Image inputs](https://platform.openai.com/docs/guides/images)
+    - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+    - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+    - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+    """
+
+    instructions: Optional[str] = None
+    """A system (or developer) message inserted into the model's context.
+
+    When using along with `previous_response_id`, the instructions from a previous
+    response will not be carried over to the next response. This makes it simple to
+    swap out system (or developer) messages in new responses.
+    """
+
+    max_output_tokens: Optional[int] = None
+    """
+    An upper bound for the number of tokens that can be generated for a response,
+    including visible output tokens and
+    [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+    """
+
+    max_tool_calls: Optional[int] = None
+    """
+    The maximum number of total calls to built-in tools that can be processed in a
+    response. This maximum number applies across all built-in tool calls, not per
+    individual tool. Any further attempts to call a tool by the model will be
+    ignored.
+    """
+
+    metadata: Optional[Metadata] = None
+    """Set of 16 key-value pairs that can be attached to an object.
+
+    This can be useful for storing additional information about the object in a
+    structured format, and querying for objects via API or the dashboard.
+
+    Keys are strings with a maximum length of 64 characters. Values are strings with
+    a maximum length of 512 characters.
+    """
+
+    model: Optional[ResponsesModel] = None
+    """Model ID used to generate the response, like `gpt-4o` or `o3`.
+
+    OpenAI offers a wide range of models with different capabilities, performance
+    characteristics, and price points. Refer to the
+    [model guide](https://platform.openai.com/docs/models) to browse and compare
+    available models.
+    """
+
+    parallel_tool_calls: Optional[bool] = None
+    """Whether to allow the model to run tool calls in parallel."""
+
+    previous_response_id: Optional[str] = None
+    """The unique ID of the previous response to the model.
+
+    Use this to create multi-turn conversations. Learn more about
+    [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+    Cannot be used in conjunction with `conversation`.
+    """
+
+    prompt: Optional[ResponsePrompt] = None
+    """
+    Reference to a prompt template and its variables.
+    [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts).
+    """
+
+    prompt_cache_key: Optional[str] = None
+    """
+    Used by OpenAI to cache responses for similar requests to optimize your cache
+    hit rates. Replaces the `user` field.
+    [Learn more](https://platform.openai.com/docs/guides/prompt-caching).
+    """
+
+    prompt_cache_retention: Optional[Literal["in-memory", "24h"]] = None
+    """The retention policy for the prompt cache.
+
+    Set to `24h` to enable extended prompt caching, which keeps cached prefixes
+    active for longer, up to a maximum of 24 hours.
+    [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention).
+    """
+
+    reasoning: Optional[Reasoning] = None
+    """**gpt-5 and o-series models only**
+
+    Configuration options for
+    [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+    """
+
+    safety_identifier: Optional[str] = None
+    """
+    A stable identifier used to help detect users of your application that may be
+    violating OpenAI's usage policies. The IDs should be a string that uniquely
+    identifies each user, with a maximum length of 64 characters. We recommend
+    hashing their username or email address, in order to avoid sending us any
+    identifying information.
+    [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+    """
+
+    service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] = None
+    """Specifies the processing type used for serving the request.
+
+    - If set to 'auto', then the request will be processed with the service tier
+      configured in the Project settings. Unless otherwise configured, the Project
+      will use 'default'.
+    - If set to 'default', then the request will be processed with the standard
+      pricing and performance for the selected model.
+    - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+      '[priority](https://openai.com/api-priority-processing/)', then the request
+      will be processed with the corresponding service tier.
+    - When not set, the default behavior is 'auto'.
+
+    When the `service_tier` parameter is set, the response body will include the
+    `service_tier` value based on the processing mode actually used to serve the
+    request. This response value may be different from the value set in the
+    parameter.
+    """
+
+    store: Optional[bool] = None
+    """Whether to store the generated model response for later retrieval via API."""
+
+    stream: Optional[bool] = None
+    """
+    If set to true, the model response data will be streamed to the client as it is
+    generated using
+    [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+    See the
+    [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming)
+    for more information.
+    """
+
+    stream_options: Optional[StreamOptions] = None
+    """Options for streaming responses. Only set this when you set `stream: true`."""
+
+    temperature: Optional[float] = None
+    """What sampling temperature to use, between 0 and 2.
+
+    Higher values like 0.8 will make the output more random, while lower values like
+    0.2 will make it more focused and deterministic. We generally recommend altering
+    this or `top_p` but not both.
+    """
+
+    text: Optional[ResponseTextConfig] = None
+    """Configuration options for a text response from the model.
+
+    Can be plain text or structured JSON data. Learn more:
+
+    - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+    - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+    """
+
+    tool_choice: Optional[ToolChoice] = None
+    """
+    How the model should select which tool (or tools) to use when generating a
+    response. See the `tools` parameter to see how to specify which tools the model
+    can call.
+    """
+
+    tools: Optional[List[Tool]] = None
+    """An array of tools the model may call while generating a response.
+
+    You can specify which tool to use by setting the `tool_choice` parameter.
+
+    We support the following categories of tools:
+
+    - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+      capabilities, like
+      [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      [file search](https://platform.openai.com/docs/guides/tools-file-search).
+      Learn more about
+      [built-in tools](https://platform.openai.com/docs/guides/tools).
+    - **MCP Tools**: Integrations with third-party systems via custom MCP servers or
+      predefined connectors such as Google Drive and SharePoint. Learn more about
+      [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp).
+    - **Function calls (custom tools)**: Functions that are defined by you, enabling
+      the model to call your own code with strongly typed arguments and outputs.
+      Learn more about
+      [function calling](https://platform.openai.com/docs/guides/function-calling).
+      You can also use custom tools to call your own code.
+    """
+
+    top_logprobs: Optional[int] = None
+    """
+    An integer between 0 and 20 specifying the number of most likely tokens to
+    return at each token position, each with an associated log probability.
+    """
+
+    top_p: Optional[float] = None
+    """
+    An alternative to sampling with temperature, called nucleus sampling, where the
+    model considers the results of the tokens with top_p probability mass. So 0.1
+    means only the tokens comprising the top 10% probability mass are considered.
+
+    We generally recommend altering this or `temperature` but not both.
+    """
+
+    truncation: Optional[Literal["auto", "disabled"]] = None
+    """The truncation strategy to use for the model response.
+
+    - `auto`: If the input to this Response exceeds the model's context window size,
+      the model will truncate the response to fit the context window by dropping
+      items from the beginning of the conversation.
+    - `disabled` (default): If the input size will exceed the context window size
+      for a model, the request will fail with a 400 error.
+    """
+
+    user: Optional[str] = None
+    """This field is being replaced by `safety_identifier` and `prompt_cache_key`.
+
+    Use `prompt_cache_key` instead to maintain caching optimizations. A stable
+    identifier for your end-users. Used to boost cache hit rates by better bucketing
+    similar requests and to help OpenAI detect and prevent abuse.
+    [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/responses_client_event_param.py b/portkey_ai/_vendor/openai/types/responses/responses_client_event_param.py
new file mode 100644
index 00000000..08596ef9
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/responses_client_event_param.py
@@ -0,0 +1,327 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import List, Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from .tool_param import ToolParam
+from .response_includable import ResponseIncludable
+from .tool_choice_options import ToolChoiceOptions
+from .response_input_param import ResponseInputParam
+from .response_prompt_param import ResponsePromptParam
+from .tool_choice_mcp_param import ToolChoiceMcpParam
+from ..shared_params.metadata import Metadata
+from .tool_choice_shell_param import ToolChoiceShellParam
+from .tool_choice_types_param import ToolChoiceTypesParam
+from ..shared_params.reasoning import Reasoning
+from .tool_choice_custom_param import ToolChoiceCustomParam
+from .tool_choice_allowed_param import ToolChoiceAllowedParam
+from .response_text_config_param import ResponseTextConfigParam
+from .tool_choice_function_param import ToolChoiceFunctionParam
+from .tool_choice_apply_patch_param import ToolChoiceApplyPatchParam
+from ..shared_params.responses_model import ResponsesModel
+from .response_conversation_param_param import ResponseConversationParamParam
+
+__all__ = ["ResponsesClientEventParam", "ContextManagement", "Conversation", "StreamOptions", "ToolChoice"]
+
+
+class ContextManagement(TypedDict, total=False):
+    type: Required[str]
+    """The context management entry type. Currently only 'compaction' is supported."""
+
+    compact_threshold: Optional[int]
+    """Token threshold at which compaction should be triggered for this entry."""
+
+
+Conversation: TypeAlias = Union[str, ResponseConversationParamParam]
+
+
+class StreamOptions(TypedDict, total=False):
+    """Options for streaming responses. Only set this when you set `stream: true`."""
+
+    include_obfuscation: bool
+    """When true, stream obfuscation will be enabled.
+
+    Stream obfuscation adds random characters to an `obfuscation` field on streaming
+    delta events to normalize payload sizes as a mitigation to certain side-channel
+    attacks. These obfuscation fields are included by default, but add a small
+    amount of overhead to the data stream. You can set `include_obfuscation` to
+    false to optimize for bandwidth if you trust the network links between your
+    application and the OpenAI API.
+    """
+
+
+ToolChoice: TypeAlias = Union[
+    ToolChoiceOptions,
+    ToolChoiceAllowedParam,
+    ToolChoiceTypesParam,
+    ToolChoiceFunctionParam,
+    ToolChoiceMcpParam,
+    ToolChoiceCustomParam,
+    ToolChoiceApplyPatchParam,
+    ToolChoiceShellParam,
+]
+
+
+class ResponsesClientEventParam(TypedDict, total=False):
+    type: Required[Literal["response.create"]]
+    """The type of the client event. Always `response.create`."""
+
+    background: Optional[bool]
+    """
+    Whether to run the model response in the background.
+    [Learn more](https://platform.openai.com/docs/guides/background).
+    """
+
+    context_management: Optional[Iterable[ContextManagement]]
+    """Context management configuration for this request."""
+
+    conversation: Optional[Conversation]
+    """The conversation that this response belongs to.
+
+    Items from this conversation are prepended to `input_items` for this response
+    request. Input items and output items from this response are automatically added
+    to this conversation after this response completes.
+    """
+
+    include: Optional[List[ResponseIncludable]]
+    """Specify additional output data to include in the model response.
+
+    Currently supported values are:
+
+    - `web_search_call.action.sources`: Include the sources of the web search tool
+      call.
+    - `code_interpreter_call.outputs`: Includes the outputs of python code execution
+      in code interpreter tool call items.
+    - `computer_call_output.output.image_url`: Include image urls from the computer
+      call output.
+    - `file_search_call.results`: Include the search results of the file search tool
+      call.
+    - `message.input_image.image_url`: Include image urls from the input message.
+    - `message.output_text.logprobs`: Include logprobs with assistant messages.
+    - `reasoning.encrypted_content`: Includes an encrypted version of reasoning
+      tokens in reasoning item outputs. This enables reasoning items to be used in
+      multi-turn conversations when using the Responses API statelessly (like when
+      the `store` parameter is set to `false`, or when an organization is enrolled
+      in the zero data retention program).
+    """
+
+    input: Union[str, ResponseInputParam]
+    """Text, image, or file inputs to the model, used to generate a response.
+
+    Learn more:
+
+    - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+    - [Image inputs](https://platform.openai.com/docs/guides/images)
+    - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+    - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+    - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+    """
+
+    instructions: Optional[str]
+    """A system (or developer) message inserted into the model's context.
+
+    When using along with `previous_response_id`, the instructions from a previous
+    response will not be carried over to the next response. This makes it simple to
+    swap out system (or developer) messages in new responses.
+    """
+
+    max_output_tokens: Optional[int]
+    """
+    An upper bound for the number of tokens that can be generated for a response,
+    including visible output tokens and
+    [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+    """
+
+    max_tool_calls: Optional[int]
+    """
+    The maximum number of total calls to built-in tools that can be processed in a
+    response. This maximum number applies across all built-in tool calls, not per
+    individual tool. Any further attempts to call a tool by the model will be
+    ignored.
+    """
+
+    metadata: Optional[Metadata]
+    """Set of 16 key-value pairs that can be attached to an object.
+
+    This can be useful for storing additional information about the object in a
+    structured format, and querying for objects via API or the dashboard.
+
+    Keys are strings with a maximum length of 64 characters. Values are strings with
+    a maximum length of 512 characters.
+    """
+
+    model: ResponsesModel
+    """Model ID used to generate the response, like `gpt-4o` or `o3`.
+
+    OpenAI offers a wide range of models with different capabilities, performance
+    characteristics, and price points. Refer to the
+    [model guide](https://platform.openai.com/docs/models) to browse and compare
+    available models.
+    """
+
+    parallel_tool_calls: Optional[bool]
+    """Whether to allow the model to run tool calls in parallel."""
+
+    previous_response_id: Optional[str]
+    """The unique ID of the previous response to the model.
+
+    Use this to create multi-turn conversations. Learn more about
+    [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+    Cannot be used in conjunction with `conversation`.
+    """
+
+    prompt: Optional[ResponsePromptParam]
+    """
+    Reference to a prompt template and its variables.
+    [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts).
+    """
+
+    prompt_cache_key: str
+    """
+    Used by OpenAI to cache responses for similar requests to optimize your cache
+    hit rates. Replaces the `user` field.
+    [Learn more](https://platform.openai.com/docs/guides/prompt-caching).
+    """
+
+    prompt_cache_retention: Optional[Literal["in-memory", "24h"]]
+    """The retention policy for the prompt cache.
+
+    Set to `24h` to enable extended prompt caching, which keeps cached prefixes
+    active for longer, up to a maximum of 24 hours.
+    [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention).
+    """
+
+    reasoning: Optional[Reasoning]
+    """**gpt-5 and o-series models only**
+
+    Configuration options for
+    [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+    """
+
+    safety_identifier: str
+    """
+    A stable identifier used to help detect users of your application that may be
+    violating OpenAI's usage policies. The IDs should be a string that uniquely
+    identifies each user, with a maximum length of 64 characters. We recommend
+    hashing their username or email address, in order to avoid sending us any
+    identifying information.
+    [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+    """
+
+    service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]]
+    """Specifies the processing type used for serving the request.
+
+    - If set to 'auto', then the request will be processed with the service tier
+      configured in the Project settings. Unless otherwise configured, the Project
+      will use 'default'.
+    - If set to 'default', then the request will be processed with the standard
+      pricing and performance for the selected model.
+    - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+      '[priority](https://openai.com/api-priority-processing/)', then the request
+      will be processed with the corresponding service tier.
+    - When not set, the default behavior is 'auto'.
+
+    When the `service_tier` parameter is set, the response body will include the
+    `service_tier` value based on the processing mode actually used to serve the
+    request. This response value may be different from the value set in the
+    parameter.
+    """
+
+    store: Optional[bool]
+    """Whether to store the generated model response for later retrieval via API."""
+
+    stream: Optional[bool]
+    """
+    If set to true, the model response data will be streamed to the client as it is
+    generated using
+    [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+    See the
+    [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming)
+    for more information.
+    """
+
+    stream_options: Optional[StreamOptions]
+    """Options for streaming responses. Only set this when you set `stream: true`."""
+
+    temperature: Optional[float]
+    """What sampling temperature to use, between 0 and 2.
+
+    Higher values like 0.8 will make the output more random, while lower values like
+    0.2 will make it more focused and deterministic. We generally recommend altering
+    this or `top_p` but not both.
+    """
+
+    text: ResponseTextConfigParam
+    """Configuration options for a text response from the model.
+
+    Can be plain text or structured JSON data. Learn more:
+
+    - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+    - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+    """
+
+    tool_choice: ToolChoice
+    """
+    How the model should select which tool (or tools) to use when generating a
+    response. See the `tools` parameter to see how to specify which tools the model
+    can call.
+    """
+
+    tools: Iterable[ToolParam]
+    """An array of tools the model may call while generating a response.
+
+    You can specify which tool to use by setting the `tool_choice` parameter.
+
+    We support the following categories of tools:
+
+    - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+      capabilities, like
+      [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      [file search](https://platform.openai.com/docs/guides/tools-file-search).
+      Learn more about
+      [built-in tools](https://platform.openai.com/docs/guides/tools).
+    - **MCP Tools**: Integrations with third-party systems via custom MCP servers or
+      predefined connectors such as Google Drive and SharePoint. Learn more about
+      [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp).
+    - **Function calls (custom tools)**: Functions that are defined by you, enabling
+      the model to call your own code with strongly typed arguments and outputs.
+      Learn more about
+      [function calling](https://platform.openai.com/docs/guides/function-calling).
+      You can also use custom tools to call your own code.
+    """
+
+    top_logprobs: Optional[int]
+    """
+    An integer between 0 and 20 specifying the number of most likely tokens to
+    return at each token position, each with an associated log probability.
+    """
+
+    top_p: Optional[float]
+    """
+    An alternative to sampling with temperature, called nucleus sampling, where the
+    model considers the results of the tokens with top_p probability mass. So 0.1
+    means only the tokens comprising the top 10% probability mass are considered.
+
+    We generally recommend altering this or `temperature` but not both.
+    """
+
+    truncation: Optional[Literal["auto", "disabled"]]
+    """The truncation strategy to use for the model response.
+
+    - `auto`: If the input to this Response exceeds the model's context window size,
+      the model will truncate the response to fit the context window by dropping
+      items from the beginning of the conversation.
+    - `disabled` (default): If the input size will exceed the context window size
+      for a model, the request will fail with a 400 error.
+    """
+
+    user: str
+    """This field is being replaced by `safety_identifier` and `prompt_cache_key`.
+
+    Use `prompt_cache_key` instead to maintain caching optimizations. A stable
+    identifier for your end-users. Used to boost cache hit rates by better bucketing
+    similar requests and to help OpenAI detect and prevent abuse.
+    [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+    """
diff --git a/portkey_ai/_vendor/openai/types/responses/responses_server_event.py b/portkey_ai/_vendor/openai/types/responses/responses_server_event.py
new file mode 100644
index 00000000..c543587a
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/responses_server_event.py
@@ -0,0 +1,120 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Union
+from typing_extensions import Annotated, TypeAlias
+
+from ..._utils import PropertyInfo
+from .response_error_event import ResponseErrorEvent
+from .response_failed_event import ResponseFailedEvent
+from .response_queued_event import ResponseQueuedEvent
+from .response_created_event import ResponseCreatedEvent
+from .response_completed_event import ResponseCompletedEvent
+from .response_text_done_event import ResponseTextDoneEvent
+from .response_audio_done_event import ResponseAudioDoneEvent
+from .response_incomplete_event import ResponseIncompleteEvent
+from .response_text_delta_event import ResponseTextDeltaEvent
+from .response_audio_delta_event import ResponseAudioDeltaEvent
+from .response_in_progress_event import ResponseInProgressEvent
+from .response_refusal_done_event import ResponseRefusalDoneEvent
+from .response_refusal_delta_event import ResponseRefusalDeltaEvent
+from .response_mcp_call_failed_event import ResponseMcpCallFailedEvent
+from .response_output_item_done_event import ResponseOutputItemDoneEvent
+from .response_content_part_done_event import ResponseContentPartDoneEvent
+from .response_output_item_added_event import ResponseOutputItemAddedEvent
+from .response_content_part_added_event import ResponseContentPartAddedEvent
+from .response_mcp_call_completed_event import ResponseMcpCallCompletedEvent
+from .response_reasoning_text_done_event import ResponseReasoningTextDoneEvent
+from .response_mcp_call_in_progress_event import ResponseMcpCallInProgressEvent
+from .response_reasoning_text_delta_event import ResponseReasoningTextDeltaEvent
+from .response_audio_transcript_done_event import ResponseAudioTranscriptDoneEvent
+from .response_mcp_list_tools_failed_event import ResponseMcpListToolsFailedEvent
+from .response_audio_transcript_delta_event import ResponseAudioTranscriptDeltaEvent
+from .response_mcp_call_arguments_done_event import ResponseMcpCallArgumentsDoneEvent
+from .response_image_gen_call_completed_event import ResponseImageGenCallCompletedEvent
+from .response_mcp_call_arguments_delta_event import ResponseMcpCallArgumentsDeltaEvent
+from .response_mcp_list_tools_completed_event import ResponseMcpListToolsCompletedEvent
+from .response_image_gen_call_generating_event import ResponseImageGenCallGeneratingEvent
+from .response_web_search_call_completed_event import ResponseWebSearchCallCompletedEvent
+from .response_web_search_call_searching_event import ResponseWebSearchCallSearchingEvent
+from .response_file_search_call_completed_event import ResponseFileSearchCallCompletedEvent
+from .response_file_search_call_searching_event import ResponseFileSearchCallSearchingEvent
+from .response_image_gen_call_in_progress_event import ResponseImageGenCallInProgressEvent
+from .response_mcp_list_tools_in_progress_event import ResponseMcpListToolsInProgressEvent
+from .response_custom_tool_call_input_done_event import ResponseCustomToolCallInputDoneEvent
+from .response_reasoning_summary_part_done_event import ResponseReasoningSummaryPartDoneEvent
+from .response_reasoning_summary_text_done_event import ResponseReasoningSummaryTextDoneEvent
+from .response_web_search_call_in_progress_event import ResponseWebSearchCallInProgressEvent
+from .response_custom_tool_call_input_delta_event import ResponseCustomToolCallInputDeltaEvent
+from .response_file_search_call_in_progress_event import ResponseFileSearchCallInProgressEvent
+from .response_function_call_arguments_done_event import ResponseFunctionCallArgumentsDoneEvent
+from .response_image_gen_call_partial_image_event import ResponseImageGenCallPartialImageEvent
+from .response_output_text_annotation_added_event import ResponseOutputTextAnnotationAddedEvent
+from .response_reasoning_summary_part_added_event import ResponseReasoningSummaryPartAddedEvent
+from .response_reasoning_summary_text_delta_event import ResponseReasoningSummaryTextDeltaEvent
+from .response_function_call_arguments_delta_event import ResponseFunctionCallArgumentsDeltaEvent
+from .response_code_interpreter_call_code_done_event import ResponseCodeInterpreterCallCodeDoneEvent
+from .response_code_interpreter_call_completed_event import ResponseCodeInterpreterCallCompletedEvent
+from .response_code_interpreter_call_code_delta_event import ResponseCodeInterpreterCallCodeDeltaEvent
+from .response_code_interpreter_call_in_progress_event import ResponseCodeInterpreterCallInProgressEvent
+from .response_code_interpreter_call_interpreting_event import ResponseCodeInterpreterCallInterpretingEvent
+
+__all__ = ["ResponsesServerEvent"]
+
+ResponsesServerEvent: TypeAlias = Annotated[
+    Union[
+        ResponseAudioDeltaEvent,
+        ResponseAudioDoneEvent,
+        ResponseAudioTranscriptDeltaEvent,
+        ResponseAudioTranscriptDoneEvent,
+        ResponseCodeInterpreterCallCodeDeltaEvent,
+        ResponseCodeInterpreterCallCodeDoneEvent,
+        ResponseCodeInterpreterCallCompletedEvent,
+        ResponseCodeInterpreterCallInProgressEvent,
+        ResponseCodeInterpreterCallInterpretingEvent,
+        ResponseCompletedEvent,
+        ResponseContentPartAddedEvent,
+        ResponseContentPartDoneEvent,
+        ResponseCreatedEvent,
+        ResponseErrorEvent,
+        ResponseFileSearchCallCompletedEvent,
+        ResponseFileSearchCallInProgressEvent,
+        ResponseFileSearchCallSearchingEvent,
+        ResponseFunctionCallArgumentsDeltaEvent,
+        ResponseFunctionCallArgumentsDoneEvent,
+        ResponseInProgressEvent,
+        ResponseFailedEvent,
+        ResponseIncompleteEvent,
+        ResponseOutputItemAddedEvent,
+        ResponseOutputItemDoneEvent,
+        ResponseReasoningSummaryPartAddedEvent,
+        ResponseReasoningSummaryPartDoneEvent,
+        ResponseReasoningSummaryTextDeltaEvent,
+        ResponseReasoningSummaryTextDoneEvent,
+        ResponseReasoningTextDeltaEvent,
+        ResponseReasoningTextDoneEvent,
+        ResponseRefusalDeltaEvent,
+        ResponseRefusalDoneEvent,
+        ResponseTextDeltaEvent,
+        ResponseTextDoneEvent,
+        ResponseWebSearchCallCompletedEvent,
+        ResponseWebSearchCallInProgressEvent,
+        ResponseWebSearchCallSearchingEvent,
+        ResponseImageGenCallCompletedEvent,
+        ResponseImageGenCallGeneratingEvent,
+        ResponseImageGenCallInProgressEvent,
+        ResponseImageGenCallPartialImageEvent,
+        ResponseMcpCallArgumentsDeltaEvent,
+        ResponseMcpCallArgumentsDoneEvent,
+        ResponseMcpCallCompletedEvent,
+        ResponseMcpCallFailedEvent,
+        ResponseMcpCallInProgressEvent,
+        ResponseMcpListToolsCompletedEvent,
+        ResponseMcpListToolsFailedEvent,
+        ResponseMcpListToolsInProgressEvent,
+        ResponseOutputTextAnnotationAddedEvent,
+        ResponseQueuedEvent,
+        ResponseCustomToolCallInputDeltaEvent,
+        ResponseCustomToolCallInputDoneEvent,
+    ],
+    PropertyInfo(discriminator="type"),
+]
diff --git a/portkey_ai/_vendor/openai/types/responses/skill_reference.py b/portkey_ai/_vendor/openai/types/responses/skill_reference.py
new file mode 100644
index 00000000..76e614ab
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/skill_reference.py
@@ -0,0 +1,19 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["SkillReference"]
+
+
+class SkillReference(BaseModel):
+    skill_id: str
+    """The ID of the referenced skill."""
+
+    type: Literal["skill_reference"]
+    """References a skill created with the /v1/skills endpoint."""
+
+    version: Optional[str] = None
+    """Optional skill version. Use a positive integer or 'latest'. Omit for default."""
diff --git a/portkey_ai/_vendor/openai/types/responses/skill_reference_param.py b/portkey_ai/_vendor/openai/types/responses/skill_reference_param.py
new file mode 100644
index 00000000..33b57285
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/skill_reference_param.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["SkillReferenceParam"]
+
+
+class SkillReferenceParam(TypedDict, total=False):
+    skill_id: Required[str]
+    """The ID of the referenced skill."""
+
+    type: Required[Literal["skill_reference"]]
+    """References a skill created with the /v1/skills endpoint."""
+
+    version: str
+    """Optional skill version. Use a positive integer or 'latest'. Omit for default."""
diff --git a/portkey_ai/_vendor/openai/types/responses/tool.py b/portkey_ai/_vendor/openai/types/responses/tool.py
index 019962a0..34120a28 100644
--- a/portkey_ai/_vendor/openai/types/responses/tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/tool.py
@@ -9,11 +9,16 @@
 from .custom_tool import CustomTool
 from .computer_tool import ComputerTool
 from .function_tool import FunctionTool
+from .namespace_tool import NamespaceTool
 from .web_search_tool import WebSearchTool
 from .apply_patch_tool import ApplyPatchTool
 from .file_search_tool import FileSearchTool
+from .tool_search_tool import ToolSearchTool
 from .function_shell_tool import FunctionShellTool
 from .web_search_preview_tool import WebSearchPreviewTool
+from .computer_use_preview_tool import ComputerUsePreviewTool
+from .container_network_policy_disabled import ContainerNetworkPolicyDisabled
+from .container_network_policy_allowlist import ContainerNetworkPolicyAllowlist
 
 __all__ = [
     "Tool",
@@ -28,6 +33,7 @@
     "CodeInterpreter",
     "CodeInterpreterContainer",
     "CodeInterpreterContainerCodeInterpreterToolAuto",
+    "CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy",
     "ImageGeneration",
     "ImageGenerationInputImageMask",
     "LocalShell",
@@ -155,6 +161,9 @@ class Mcp(BaseModel):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: Optional[bool] = None
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]] = None
     """Optional HTTP headers to send to the MCP server.
 
@@ -174,6 +183,11 @@ class Mcp(BaseModel):
     """
 
 
+CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy: TypeAlias = Annotated[
+    Union[ContainerNetworkPolicyDisabled, ContainerNetworkPolicyAllowlist], PropertyInfo(discriminator="type")
+]
+
+
 class CodeInterpreterContainerCodeInterpreterToolAuto(BaseModel):
     """Configuration for a code interpreter container.
 
@@ -189,6 +203,9 @@ class CodeInterpreterContainerCodeInterpreterToolAuto(BaseModel):
     memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None
     """The memory limit for the code interpreter container."""
 
+    network_policy: Optional[CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy] = None
+    """Network access policy for the container."""
+
 
 CodeInterpreterContainer: TypeAlias = Union[str, CodeInterpreterContainerCodeInterpreterToolAuto]
 
@@ -227,6 +244,9 @@ class ImageGeneration(BaseModel):
     type: Literal["image_generation"]
     """The type of the image generation tool. Always `image_generation`."""
 
+    action: Optional[Literal["generate", "edit", "auto"]] = None
+    """Whether to generate a new image or edit an existing image. Default: `auto`."""
+
     background: Optional[Literal["transparent", "opaque", "auto"]] = None
     """Background type for the generated image.
 
@@ -237,8 +257,8 @@ class ImageGeneration(BaseModel):
     """
     Control how much effort the model will exert to match the style and features,
     especially facial features, of input images. This parameter is only supported
-    for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-    `low`. Defaults to `low`.
+    for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+    `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
     """
 
     input_image_mask: Optional[ImageGenerationInputImageMask] = None
@@ -247,7 +267,7 @@ class ImageGeneration(BaseModel):
     Contains `image_url` (string, optional) and `file_id` (string, optional).
     """
 
-    model: Union[str, Literal["gpt-image-1", "gpt-image-1-mini"], None] = None
+    model: Union[str, Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-1.5"], None] = None
     """The image generation model to use. Default: `gpt-image-1`."""
 
     moderation: Optional[Literal["auto", "low"]] = None
@@ -293,6 +313,7 @@ class LocalShell(BaseModel):
         FunctionTool,
         FileSearchTool,
         ComputerTool,
+        ComputerUsePreviewTool,
         WebSearchTool,
         Mcp,
         CodeInterpreter,
@@ -300,6 +321,8 @@ class LocalShell(BaseModel):
         LocalShell,
         FunctionShellTool,
         CustomTool,
+        NamespaceTool,
+        ToolSearchTool,
         WebSearchPreviewTool,
         ApplyPatchTool,
     ],
diff --git a/portkey_ai/_vendor/openai/types/responses/tool_choice_types.py b/portkey_ai/_vendor/openai/types/responses/tool_choice_types.py
index 044c014b..3cd1d3f6 100644
--- a/portkey_ai/_vendor/openai/types/responses/tool_choice_types.py
+++ b/portkey_ai/_vendor/openai/types/responses/tool_choice_types.py
@@ -16,7 +16,9 @@ class ToolChoiceTypes(BaseModel):
     type: Literal[
         "file_search",
         "web_search_preview",
+        "computer",
         "computer_use_preview",
+        "computer_use",
         "web_search_preview_2025_03_11",
         "image_generation",
         "code_interpreter",
@@ -30,7 +32,9 @@ class ToolChoiceTypes(BaseModel):
 
     - `file_search`
     - `web_search_preview`
+    - `computer`
     - `computer_use_preview`
+    - `computer_use`
     - `code_interpreter`
     - `image_generation`
     """
diff --git a/portkey_ai/_vendor/openai/types/responses/tool_choice_types_param.py b/portkey_ai/_vendor/openai/types/responses/tool_choice_types_param.py
index 9bf02dbf..5d08380a 100644
--- a/portkey_ai/_vendor/openai/types/responses/tool_choice_types_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/tool_choice_types_param.py
@@ -17,7 +17,9 @@ class ToolChoiceTypesParam(TypedDict, total=False):
         Literal[
             "file_search",
             "web_search_preview",
+            "computer",
             "computer_use_preview",
+            "computer_use",
             "web_search_preview_2025_03_11",
             "image_generation",
             "code_interpreter",
@@ -32,7 +34,9 @@ class ToolChoiceTypesParam(TypedDict, total=False):
 
     - `file_search`
     - `web_search_preview`
+    - `computer`
     - `computer_use_preview`
+    - `computer_use`
     - `code_interpreter`
     - `image_generation`
     """
diff --git a/portkey_ai/_vendor/openai/types/responses/tool_param.py b/portkey_ai/_vendor/openai/types/responses/tool_param.py
index 37d3dde0..c0f33c45 100644
--- a/portkey_ai/_vendor/openai/types/responses/tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/tool_param.py
@@ -11,11 +11,16 @@
 from .custom_tool_param import CustomToolParam
 from .computer_tool_param import ComputerToolParam
 from .function_tool_param import FunctionToolParam
+from .namespace_tool_param import NamespaceToolParam
 from .web_search_tool_param import WebSearchToolParam
 from .apply_patch_tool_param import ApplyPatchToolParam
 from .file_search_tool_param import FileSearchToolParam
+from .tool_search_tool_param import ToolSearchToolParam
 from .function_shell_tool_param import FunctionShellToolParam
 from .web_search_preview_tool_param import WebSearchPreviewToolParam
+from .computer_use_preview_tool_param import ComputerUsePreviewToolParam
+from .container_network_policy_disabled_param import ContainerNetworkPolicyDisabledParam
+from .container_network_policy_allowlist_param import ContainerNetworkPolicyAllowlistParam
 
 __all__ = [
     "ToolParam",
@@ -29,6 +34,7 @@
     "CodeInterpreter",
     "CodeInterpreterContainer",
     "CodeInterpreterContainerCodeInterpreterToolAuto",
+    "CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy",
     "ImageGeneration",
     "ImageGenerationInputImageMask",
     "LocalShell",
@@ -155,6 +161,9 @@ class Mcp(TypedDict, total=False):
     - SharePoint: `connector_sharepoint`
     """
 
+    defer_loading: bool
+    """Whether this MCP tool is deferred and discovered via tool search."""
+
     headers: Optional[Dict[str, str]]
     """Optional HTTP headers to send to the MCP server.
 
@@ -174,6 +183,11 @@ class Mcp(TypedDict, total=False):
     """
 
 
+CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy: TypeAlias = Union[
+    ContainerNetworkPolicyDisabledParam, ContainerNetworkPolicyAllowlistParam
+]
+
+
 class CodeInterpreterContainerCodeInterpreterToolAuto(TypedDict, total=False):
     """Configuration for a code interpreter container.
 
@@ -189,6 +203,9 @@ class CodeInterpreterContainerCodeInterpreterToolAuto(TypedDict, total=False):
     memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]
     """The memory limit for the code interpreter container."""
 
+    network_policy: CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy
+    """Network access policy for the container."""
+
 
 CodeInterpreterContainer: TypeAlias = Union[str, CodeInterpreterContainerCodeInterpreterToolAuto]
 
@@ -227,6 +244,9 @@ class ImageGeneration(TypedDict, total=False):
     type: Required[Literal["image_generation"]]
     """The type of the image generation tool. Always `image_generation`."""
 
+    action: Literal["generate", "edit", "auto"]
+    """Whether to generate a new image or edit an existing image. Default: `auto`."""
+
     background: Literal["transparent", "opaque", "auto"]
     """Background type for the generated image.
 
@@ -237,8 +257,8 @@ class ImageGeneration(TypedDict, total=False):
     """
     Control how much effort the model will exert to match the style and features,
     especially facial features, of input images. This parameter is only supported
-    for `gpt-image-1`. Unsupported for `gpt-image-1-mini`. Supports `high` and
-    `low`. Defaults to `low`.
+    for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for
+    `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.
     """
 
     input_image_mask: ImageGenerationInputImageMask
@@ -247,7 +267,7 @@ class ImageGeneration(TypedDict, total=False):
     Contains `image_url` (string, optional) and `file_id` (string, optional).
     """
 
-    model: Union[str, Literal["gpt-image-1", "gpt-image-1-mini"]]
+    model: Union[str, Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-1.5"]]
     """The image generation model to use. Default: `gpt-image-1`."""
 
     moderation: Literal["auto", "low"]
@@ -292,6 +312,7 @@ class LocalShell(TypedDict, total=False):
     FunctionToolParam,
     FileSearchToolParam,
     ComputerToolParam,
+    ComputerUsePreviewToolParam,
     WebSearchToolParam,
     Mcp,
     CodeInterpreter,
@@ -299,6 +320,8 @@ class LocalShell(TypedDict, total=False):
     LocalShell,
     FunctionShellToolParam,
     CustomToolParam,
+    NamespaceToolParam,
+    ToolSearchToolParam,
     WebSearchPreviewToolParam,
     ApplyPatchToolParam,
 ]
diff --git a/portkey_ai/_vendor/openai/types/responses/tool_search_tool.py b/portkey_ai/_vendor/openai/types/responses/tool_search_tool.py
new file mode 100644
index 00000000..44a741a1
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/tool_search_tool.py
@@ -0,0 +1,24 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["ToolSearchTool"]
+
+
+class ToolSearchTool(BaseModel):
+    """Hosted or BYOT tool search configuration for deferred tools."""
+
+    type: Literal["tool_search"]
+    """The type of the tool. Always `tool_search`."""
+
+    description: Optional[str] = None
+    """Description shown to the model for a client-executed tool search tool."""
+
+    execution: Optional[Literal["server", "client"]] = None
+    """Whether tool search is executed by the server or by the client."""
+
+    parameters: Optional[object] = None
+    """Parameter schema for a client-executed tool search tool."""
diff --git a/portkey_ai/_vendor/openai/types/responses/tool_search_tool_param.py b/portkey_ai/_vendor/openai/types/responses/tool_search_tool_param.py
new file mode 100644
index 00000000..3063da27
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/responses/tool_search_tool_param.py
@@ -0,0 +1,24 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Optional
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ToolSearchToolParam"]
+
+
+class ToolSearchToolParam(TypedDict, total=False):
+    """Hosted or BYOT tool search configuration for deferred tools."""
+
+    type: Required[Literal["tool_search"]]
+    """The type of the tool. Always `tool_search`."""
+
+    description: Optional[str]
+    """Description shown to the model for a client-executed tool search tool."""
+
+    execution: Literal["server", "client"]
+    """Whether tool search is executed by the server or by the client."""
+
+    parameters: Optional[object]
+    """Parameter schema for a client-executed tool search tool."""
diff --git a/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool.py b/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool.py
index 12478e89..bdf092f1 100644
--- a/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool.py
+++ b/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool.py
@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Optional
+from typing import List, Optional
 from typing_extensions import Literal
 
 from ..._models import BaseModel
@@ -45,6 +45,8 @@ class WebSearchPreviewTool(BaseModel):
     One of `web_search_preview` or `web_search_preview_2025_03_11`.
     """
 
+    search_content_types: Optional[List[Literal["text", "image"]]] = None
+
     search_context_size: Optional[Literal["low", "medium", "high"]] = None
     """High level guidance for the amount of context window space to use for the
     search.
diff --git a/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool_param.py b/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool_param.py
index 09619a33..b81f95e3 100644
--- a/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool_param.py
+++ b/portkey_ai/_vendor/openai/types/responses/web_search_preview_tool_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Optional
+from typing import List, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 __all__ = ["WebSearchPreviewToolParam", "UserLocation"]
@@ -45,6 +45,8 @@ class WebSearchPreviewToolParam(TypedDict, total=False):
     One of `web_search_preview` or `web_search_preview_2025_03_11`.
     """
 
+    search_content_types: List[Literal["text", "image"]]
+
     search_context_size: Literal["low", "medium", "high"]
     """High level guidance for the amount of context window space to use for the
     search.
diff --git a/portkey_ai/_vendor/openai/types/shared/chat_model.py b/portkey_ai/_vendor/openai/types/shared/chat_model.py
index 8223b81b..501a22a8 100644
--- a/portkey_ai/_vendor/openai/types/shared/chat_model.py
+++ b/portkey_ai/_vendor/openai/types/shared/chat_model.py
@@ -5,6 +5,12 @@
 __all__ = ["ChatModel"]
 
 ChatModel: TypeAlias = Literal[
+    "gpt-5.4",
+    "gpt-5.4-mini",
+    "gpt-5.4-nano",
+    "gpt-5.4-mini-2026-03-17",
+    "gpt-5.4-nano-2026-03-17",
+    "gpt-5.3-chat-latest",
     "gpt-5.2",
     "gpt-5.2-2025-12-11",
     "gpt-5.2-chat-latest",
diff --git a/portkey_ai/_vendor/openai/types/shared/comparison_filter.py b/portkey_ai/_vendor/openai/types/shared/comparison_filter.py
index 852cac17..57c26cd0 100644
--- a/portkey_ai/_vendor/openai/types/shared/comparison_filter.py
+++ b/portkey_ai/_vendor/openai/types/shared/comparison_filter.py
@@ -16,7 +16,7 @@ class ComparisonFilter(BaseModel):
     key: str
     """The key to compare against the value."""
 
-    type: Literal["eq", "ne", "gt", "gte", "lt", "lte"]
+    type: Literal["eq", "ne", "gt", "gte", "lt", "lte", "in", "nin"]
     """
     Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`,
     `nin`.
diff --git a/portkey_ai/_vendor/openai/types/shared_params/chat_model.py b/portkey_ai/_vendor/openai/types/shared_params/chat_model.py
index c1937a83..17eaacd9 100644
--- a/portkey_ai/_vendor/openai/types/shared_params/chat_model.py
+++ b/portkey_ai/_vendor/openai/types/shared_params/chat_model.py
@@ -7,6 +7,12 @@
 __all__ = ["ChatModel"]
 
 ChatModel: TypeAlias = Literal[
+    "gpt-5.4",
+    "gpt-5.4-mini",
+    "gpt-5.4-nano",
+    "gpt-5.4-mini-2026-03-17",
+    "gpt-5.4-nano-2026-03-17",
+    "gpt-5.3-chat-latest",
     "gpt-5.2",
     "gpt-5.2-2025-12-11",
     "gpt-5.2-chat-latest",
diff --git a/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py b/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py
index 363688e4..005f4d1f 100644
--- a/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py
+++ b/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py
@@ -18,7 +18,7 @@ class ComparisonFilter(TypedDict, total=False):
     key: Required[str]
     """The key to compare against the value."""
 
-    type: Required[Literal["eq", "ne", "gt", "gte", "lt", "lte"]]
+    type: Required[Literal["eq", "ne", "gt", "gte", "lt", "lte", "in", "nin"]]
     """
     Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`,
     `nin`.
diff --git a/portkey_ai/_vendor/openai/types/skill.py b/portkey_ai/_vendor/openai/types/skill.py
new file mode 100644
index 00000000..25d74978
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skill.py
@@ -0,0 +1,30 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from .._models import BaseModel
+
+__all__ = ["Skill"]
+
+
+class Skill(BaseModel):
+    id: str
+    """Unique identifier for the skill."""
+
+    created_at: int
+    """Unix timestamp (seconds) for when the skill was created."""
+
+    default_version: str
+    """Default version for the skill."""
+
+    description: str
+    """Description of the skill."""
+
+    latest_version: str
+    """Latest version for the skill."""
+
+    name: str
+    """Name of the skill."""
+
+    object: Literal["skill"]
+    """The object type, which is `skill`."""
diff --git a/portkey_ai/_vendor/openai/types/skill_create_params.py b/portkey_ai/_vendor/openai/types/skill_create_params.py
new file mode 100644
index 00000000..5a709286
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skill_create_params.py
@@ -0,0 +1,15 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import TypedDict
+
+from .._types import FileTypes, SequenceNotStr
+
+__all__ = ["SkillCreateParams"]
+
+
+class SkillCreateParams(TypedDict, total=False):
+    files: Union[SequenceNotStr[FileTypes], FileTypes]
+    """Skill files to upload (directory upload) or a single zip file."""
diff --git a/portkey_ai/_vendor/openai/types/skill_list.py b/portkey_ai/_vendor/openai/types/skill_list.py
new file mode 100644
index 00000000..fc5b57bc
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skill_list.py
@@ -0,0 +1,26 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from .skill import Skill
+from .._models import BaseModel
+
+__all__ = ["SkillList"]
+
+
+class SkillList(BaseModel):
+    data: List[Skill]
+    """A list of items"""
+
+    first_id: Optional[str] = None
+    """The ID of the first item in the list."""
+
+    has_more: bool
+    """Whether there are more items available."""
+
+    last_id: Optional[str] = None
+    """The ID of the last item in the list."""
+
+    object: Literal["list"]
+    """The type of object returned, must be `list`."""
diff --git a/portkey_ai/_vendor/openai/types/skill_list_params.py b/portkey_ai/_vendor/openai/types/skill_list_params.py
new file mode 100644
index 00000000..ffe79679
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skill_list_params.py
@@ -0,0 +1,21 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, TypedDict
+
+__all__ = ["SkillListParams"]
+
+
+class SkillListParams(TypedDict, total=False):
+    after: str
+    """Identifier for the last item from the previous pagination request"""
+
+    limit: int
+    """Number of items to retrieve"""
+
+    order: Literal["asc", "desc"]
+    """Sort order of results by timestamp.
+
+    Use `asc` for ascending order or `desc` for descending order.
+    """
diff --git a/portkey_ai/_vendor/openai/types/skill_update_params.py b/portkey_ai/_vendor/openai/types/skill_update_params.py
new file mode 100644
index 00000000..48a790e1
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skill_update_params.py
@@ -0,0 +1,12 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Required, TypedDict
+
+__all__ = ["SkillUpdateParams"]
+
+
+class SkillUpdateParams(TypedDict, total=False):
+    default_version: Required[str]
+    """The skill version number to set as default."""
diff --git a/portkey_ai/_vendor/openai/types/skills/__init__.py b/portkey_ai/_vendor/openai/types/skills/__init__.py
new file mode 100644
index 00000000..b0605fb8
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/__init__.py
@@ -0,0 +1,9 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from .skill_version import SkillVersion as SkillVersion
+from .skill_version_list import SkillVersionList as SkillVersionList
+from .version_list_params import VersionListParams as VersionListParams
+from .deleted_skill_version import DeletedSkillVersion as DeletedSkillVersion
+from .version_create_params import VersionCreateParams as VersionCreateParams
diff --git a/portkey_ai/_vendor/openai/types/skills/deleted_skill_version.py b/portkey_ai/_vendor/openai/types/skills/deleted_skill_version.py
new file mode 100644
index 00000000..e1fd8c49
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/deleted_skill_version.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["DeletedSkillVersion"]
+
+
+class DeletedSkillVersion(BaseModel):
+    id: str
+
+    deleted: bool
+
+    object: Literal["skill.version.deleted"]
+
+    version: str
+    """The deleted skill version."""
diff --git a/portkey_ai/_vendor/openai/types/skills/skill_version.py b/portkey_ai/_vendor/openai/types/skills/skill_version.py
new file mode 100644
index 00000000..74b47000
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/skill_version.py
@@ -0,0 +1,30 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+
+__all__ = ["SkillVersion"]
+
+
+class SkillVersion(BaseModel):
+    id: str
+    """Unique identifier for the skill version."""
+
+    created_at: int
+    """Unix timestamp (seconds) for when the version was created."""
+
+    description: str
+    """Description of the skill version."""
+
+    name: str
+    """Name of the skill version."""
+
+    object: Literal["skill.version"]
+    """The object type, which is `skill.version`."""
+
+    skill_id: str
+    """Identifier of the skill for this version."""
+
+    version: str
+    """Version number for this skill."""
diff --git a/portkey_ai/_vendor/openai/types/skills/skill_version_list.py b/portkey_ai/_vendor/openai/types/skills/skill_version_list.py
new file mode 100644
index 00000000..7d10082f
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/skill_version_list.py
@@ -0,0 +1,26 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from .skill_version import SkillVersion
+
+__all__ = ["SkillVersionList"]
+
+
+class SkillVersionList(BaseModel):
+    data: List[SkillVersion]
+    """A list of items"""
+
+    first_id: Optional[str] = None
+    """The ID of the first item in the list."""
+
+    has_more: bool
+    """Whether there are more items available."""
+
+    last_id: Optional[str] = None
+    """The ID of the last item in the list."""
+
+    object: Literal["list"]
+    """The type of object returned, must be `list`."""
diff --git a/portkey_ai/_vendor/openai/types/skills/version_create_params.py b/portkey_ai/_vendor/openai/types/skills/version_create_params.py
new file mode 100644
index 00000000..043b43a0
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/version_create_params.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import TypedDict
+
+from ..._types import FileTypes, SequenceNotStr
+
+__all__ = ["VersionCreateParams"]
+
+
+class VersionCreateParams(TypedDict, total=False):
+    default: bool
+    """Whether to set this version as the default."""
+
+    files: Union[SequenceNotStr[FileTypes], FileTypes]
+    """Skill files to upload (directory upload) or a single zip file."""
diff --git a/portkey_ai/_vendor/openai/types/skills/version_list_params.py b/portkey_ai/_vendor/openai/types/skills/version_list_params.py
new file mode 100644
index 00000000..0638f400
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/version_list_params.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, TypedDict
+
+__all__ = ["VersionListParams"]
+
+
+class VersionListParams(TypedDict, total=False):
+    after: str
+    """The skill version ID to start after."""
+
+    limit: int
+    """Number of versions to retrieve."""
+
+    order: Literal["asc", "desc"]
+    """Sort order of results by version number."""
diff --git a/portkey_ai/_vendor/openai/types/skills/versions/__init__.py b/portkey_ai/_vendor/openai/types/skills/versions/__init__.py
new file mode 100644
index 00000000..f8ee8b14
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/skills/versions/__init__.py
@@ -0,0 +1,3 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
diff --git a/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py b/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py
index 2ab98a83..7ca0de81 100644
--- a/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py
+++ b/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py
@@ -33,7 +33,8 @@ class FileBatchCreateParams(TypedDict, total=False):
     A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
     the vector store should use. Useful for tools like `file_search` that can access
     files. If `attributes` or `chunking_strategy` are provided, they will be applied
-    to all files in the batch. Mutually exclusive with `files`.
+    to all files in the batch. The maximum batch size is 2000 files. Mutually
+    exclusive with `files`.
     """
 
     files: Iterable[File]
@@ -41,7 +42,8 @@ class FileBatchCreateParams(TypedDict, total=False):
     A list of objects that each include a `file_id` plus optional `attributes` or
     `chunking_strategy`. Use this when you need to override metadata for specific
     files. The global `attributes` or `chunking_strategy` will be ignored and must
-    be specified for each file. Mutually exclusive with `file_ids`.
+    be specified for each file. The maximum batch size is 2000 files. Mutually
+    exclusive with `file_ids`.
     """
 
 
diff --git a/portkey_ai/_vendor/openai/types/video.py b/portkey_ai/_vendor/openai/types/video.py
index e732ea54..051b951e 100644
--- a/portkey_ai/_vendor/openai/types/video.py
+++ b/portkey_ai/_vendor/openai/types/video.py
@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Optional
+from typing import Union, Optional
 from typing_extensions import Literal
 
 from .._models import BaseModel
@@ -45,8 +45,11 @@ class Video(BaseModel):
     remixed_from_video_id: Optional[str] = None
     """Identifier of the source video if this video is a remix."""
 
-    seconds: VideoSeconds
-    """Duration of the generated clip in seconds."""
+    seconds: Union[str, VideoSeconds]
+    """Duration of the generated clip in seconds.
+
+    For extensions, this is the stitched total duration.
+    """
 
     size: VideoSize
     """The resolution of the generated video."""
diff --git a/portkey_ai/_vendor/openai/types/video_create_character_params.py b/portkey_ai/_vendor/openai/types/video_create_character_params.py
new file mode 100644
index 00000000..ef671e59
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/video_create_character_params.py
@@ -0,0 +1,17 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Required, TypedDict
+
+from .._types import FileTypes
+
+__all__ = ["VideoCreateCharacterParams"]
+
+
+class VideoCreateCharacterParams(TypedDict, total=False):
+    name: Required[str]
+    """Display name for this API character."""
+
+    video: Required[FileTypes]
+    """Video file used to create a character."""
diff --git a/portkey_ai/_vendor/openai/types/video_create_character_response.py b/portkey_ai/_vendor/openai/types/video_create_character_response.py
new file mode 100644
index 00000000..e3a65a02
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/video_create_character_response.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+
+from .._models import BaseModel
+
+__all__ = ["VideoCreateCharacterResponse"]
+
+
+class VideoCreateCharacterResponse(BaseModel):
+    id: Optional[str] = None
+    """Identifier for the character creation cameo."""
+
+    created_at: int
+    """Unix timestamp (in seconds) when the character was created."""
+
+    name: Optional[str] = None
+    """Display name for the character."""
diff --git a/portkey_ai/_vendor/openai/types/video_create_params.py b/portkey_ai/_vendor/openai/types/video_create_params.py
index d787aaed..641ac7db 100644
--- a/portkey_ai/_vendor/openai/types/video_create_params.py
+++ b/portkey_ai/_vendor/openai/types/video_create_params.py
@@ -2,22 +2,24 @@
 
 from __future__ import annotations
 
-from typing_extensions import Required, TypedDict
+from typing import Union
+from typing_extensions import Required, TypeAlias, TypedDict
 
 from .._types import FileTypes
 from .video_size import VideoSize
 from .video_seconds import VideoSeconds
 from .video_model_param import VideoModelParam
+from .image_input_reference_param import ImageInputReferenceParam
 
-__all__ = ["VideoCreateParams"]
+__all__ = ["VideoCreateParams", "InputReference"]
 
 
 class VideoCreateParams(TypedDict, total=False):
     prompt: Required[str]
     """Text prompt that describes the video to generate."""
 
-    input_reference: FileTypes
-    """Optional image reference that guides generation."""
+    input_reference: InputReference
+    """Optional reference asset upload or reference object that guides generation."""
 
     model: VideoModelParam
     """The video generation model to use (allowed values: sora-2, sora-2-pro).
@@ -33,3 +35,6 @@ class VideoCreateParams(TypedDict, total=False):
     Output resolution formatted as width x height (allowed values: 720x1280,
     1280x720, 1024x1792, 1792x1024). Defaults to 720x1280.
     """
+
+
+InputReference: TypeAlias = Union[FileTypes, ImageInputReferenceParam]
diff --git a/portkey_ai/_vendor/openai/types/video_edit_params.py b/portkey_ai/_vendor/openai/types/video_edit_params.py
new file mode 100644
index 00000000..8d3b15fc
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/video_edit_params.py
@@ -0,0 +1,28 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import Required, TypeAlias, TypedDict
+
+from .._types import FileTypes
+
+__all__ = ["VideoEditParams", "Video", "VideoVideoReferenceInputParam"]
+
+
+class VideoEditParams(TypedDict, total=False):
+    prompt: Required[str]
+    """Text prompt that describes how to edit the source video."""
+
+    video: Required[Video]
+    """Reference to the completed video to edit."""
+
+
+class VideoVideoReferenceInputParam(TypedDict, total=False):
+    """Reference to the completed video."""
+
+    id: Required[str]
+    """The identifier of the completed video."""
+
+
+Video: TypeAlias = Union[FileTypes, VideoVideoReferenceInputParam]
diff --git a/portkey_ai/_vendor/openai/types/video_extend_params.py b/portkey_ai/_vendor/openai/types/video_extend_params.py
new file mode 100644
index 00000000..65be4b52
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/video_extend_params.py
@@ -0,0 +1,35 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import Required, TypeAlias, TypedDict
+
+from .._types import FileTypes
+from .video_seconds import VideoSeconds
+
+__all__ = ["VideoExtendParams", "Video", "VideoVideoReferenceInputParam"]
+
+
+class VideoExtendParams(TypedDict, total=False):
+    prompt: Required[str]
+    """Updated text prompt that directs the extension generation."""
+
+    seconds: Required[VideoSeconds]
+    """
+    Length of the newly generated extension segment in seconds (allowed values: 4,
+    8, 12, 16, 20).
+    """
+
+    video: Required[Video]
+    """Reference to the completed video to extend."""
+
+
+class VideoVideoReferenceInputParam(TypedDict, total=False):
+    """Reference to the completed video."""
+
+    id: Required[str]
+    """The identifier of the completed video."""
+
+
+Video: TypeAlias = Union[FileTypes, VideoVideoReferenceInputParam]
diff --git a/portkey_ai/_vendor/openai/types/video_get_character_response.py b/portkey_ai/_vendor/openai/types/video_get_character_response.py
new file mode 100644
index 00000000..df6202ed
--- /dev/null
+++ b/portkey_ai/_vendor/openai/types/video_get_character_response.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+
+from .._models import BaseModel
+
+__all__ = ["VideoGetCharacterResponse"]
+
+
+class VideoGetCharacterResponse(BaseModel):
+    id: Optional[str] = None
+    """Identifier for the character creation cameo."""
+
+    created_at: int
+    """Unix timestamp (in seconds) when the character was created."""
+
+    name: Optional[str] = None
+    """Display name for the character."""
diff --git a/portkey_ai/_vendor/openai/types/websocket_connection_options.py b/portkey_ai/_vendor/openai/types/websocket_connection_options.py
index 40fd24ab..519e4341 100644
--- a/portkey_ai/_vendor/openai/types/websocket_connection_options.py
+++ b/portkey_ai/_vendor/openai/types/websocket_connection_options.py
@@ -3,15 +3,17 @@
 from __future__ import annotations
 
 from typing import TYPE_CHECKING
-from typing_extensions import Sequence, TypedDict
+from typing_extensions import Sequence, TypeAlias, TypedDict
+
+__all__ = ["WebSocketConnectionOptions", "WebsocketConnectionOptions"]
 
 if TYPE_CHECKING:
     from websockets import Subprotocol
     from websockets.extensions import ClientExtensionFactory
 
 
-class WebsocketConnectionOptions(TypedDict, total=False):
-    """Websocket connection options copied from `websockets`.
+class WebSocketConnectionOptions(TypedDict, total=False):
+    """WebSocket connection options copied from `websockets`.
 
     For example: https://websockets.readthedocs.io/en/stable/reference/asyncio/client.html#websockets.asyncio.client.connect
     """
@@ -34,3 +36,7 @@ class WebsocketConnectionOptions(TypedDict, total=False):
 
     write_limit: int | tuple[int, int | None]
     """High-water mark of write buffer in bytes. It is passed to set_write_buffer_limits(). It defaults to 32 KiB. You may pass a (high, low) tuple to set the high-water and low-water marks."""
+
+
+# Backward compatibility for pre-rename imports.
+WebsocketConnectionOptions: TypeAlias = WebSocketConnectionOptions
diff --git a/portkey_ai/api_resources/__init__.py b/portkey_ai/api_resources/__init__.py
index 0cab7a03..059dc6ef 100644
--- a/portkey_ai/api_resources/__init__.py
+++ b/portkey_ai/api_resources/__init__.py
@@ -135,6 +135,14 @@
     AsyncConversationsItems,
     Videos,
     AsyncVideos,
+    Skills,
+    AsyncSkills,
+    SkillsContent,
+    AsyncSkillsContent,
+    SkillsVersions,
+    AsyncSkillsVersions,
+    SkillsVersionsContent,
+    AsyncSkillsVersionsContent,
     ChatKit,
     AsyncChatKit,
     ChatKitSessions,
@@ -339,6 +347,14 @@
     "AsyncConversationsItems",
     "Videos",
     "AsyncVideos",
+    "Skills",
+    "AsyncSkills",
+    "SkillsContent",
+    "AsyncSkillsContent",
+    "SkillsVersions",
+    "AsyncSkillsVersions",
+    "SkillsVersionsContent",
+    "AsyncSkillsVersionsContent",
     "ChatKit",
     "AsyncChatKit",
     "ChatKitSessions",
diff --git a/portkey_ai/api_resources/apis/__init__.py b/portkey_ai/api_resources/apis/__init__.py
index 6bf39cdb..2ea60e46 100644
--- a/portkey_ai/api_resources/apis/__init__.py
+++ b/portkey_ai/api_resources/apis/__init__.py
@@ -175,6 +175,17 @@
 
 from .videos import Videos, AsyncVideos
 
+from .skills import (
+    Skills,
+    AsyncSkills,
+    SkillsContent,
+    AsyncSkillsContent,
+    SkillsVersions,
+    AsyncSkillsVersions,
+    SkillsVersionsContent,
+    AsyncSkillsVersionsContent,
+)
+
 from .chatkit import (
     ChatKit,
     AsyncChatKit,
@@ -373,6 +384,14 @@
     "AsyncCalls",
     "InputTokens",
     "AsyncInputTokens",
+    "Skills",
+    "AsyncSkills",
+    "SkillsContent",
+    "AsyncSkillsContent",
+    "SkillsVersions",
+    "AsyncSkillsVersions",
+    "SkillsVersionsContent",
+    "AsyncSkillsVersionsContent",
     "Analytics",
     "AsyncAnalytics",
     "AnalyticsGraphs",
diff --git a/portkey_ai/api_resources/apis/audio.py b/portkey_ai/api_resources/apis/audio.py
index 052614fb..cb090344 100644
--- a/portkey_ai/api_resources/apis/audio.py
+++ b/portkey_ai/api_resources/apis/audio.py
@@ -4,6 +4,7 @@
 from portkey_ai.api_resources.global_constants import AUDIO_FILE_DURATION_HEADER
 from portkey_ai.api_resources.get_audio_duration import get_audio_file_duration
 from ..._vendor.openai._types import Omit, omit, FileTypes
+from ..._vendor.openai.types.audio import speech_create_params
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
 import typing
 
@@ -137,7 +138,7 @@ def create(
         *,
         input: str,
         model: str,
-        voice: str,
+        voice: speech_create_params.Voice,
         response_format: Union[str, Omit] = omit,
         speed: Union[float, Omit] = omit,
         stream: Union[bool, Omit] = omit,
@@ -283,7 +284,7 @@ async def create(
         *,
         input: str,
         model: str,
-        voice: str,
+        voice: speech_create_params.Voice,
         response_format: Union[str, Omit] = omit,
         speed: Union[float, Omit] = omit,
         stream: Union[bool, Omit] = omit,
diff --git a/portkey_ai/api_resources/apis/containers.py b/portkey_ai/api_resources/apis/containers.py
index 1a0909e1..ce405100 100644
--- a/portkey_ai/api_resources/apis/containers.py
+++ b/portkey_ai/api_resources/apis/containers.py
@@ -1,5 +1,5 @@
 import json
-from typing import Any, List, Literal, Union
+from typing import Any, Iterable, List, Literal, Union
 from portkey_ai._vendor.openai.types import container_create_params
 from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
@@ -29,6 +29,8 @@ def create(
         expires_after: Union[container_create_params.ExpiresAfter, Omit] = omit,
         file_ids: Union[List[str], Omit] = omit,
         memory_limit: Union[Literal["1g", "4g", "16g", "64g"], Omit] = omit,
+        network_policy: Union[container_create_params.NetworkPolicy, Omit] = omit,
+        skills: Union[Iterable[container_create_params.Skill], Omit] = omit,
         **kwargs,
     ) -> ContainerCreateResponse:
         extra_headers = kwargs.pop("extra_headers", None)
@@ -40,6 +42,8 @@ def create(
             expires_after=expires_after,
             file_ids=file_ids,
             memory_limit=memory_limit,
+            network_policy=network_policy,
+            skills=skills,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body=extra_body,
@@ -85,6 +89,7 @@ def list(
         *,
         after: Union[str, Omit] = omit,
         limit: Union[int, Omit] = omit,
+        name: Union[str, Omit] = omit,
         order: Union[Literal["asc", "desc"], Omit] = omit,
         **kwargs,
     ) -> ContainerListResponse:
@@ -95,6 +100,7 @@ def list(
         response = self.openai_client.with_raw_response.containers.list(
             after=after,
             limit=limit,
+            name=name,
             order=order,
             extra_headers=extra_headers,
             extra_query=extra_query,
@@ -289,6 +295,8 @@ async def create(
         expires_after: Union[container_create_params.ExpiresAfter, Omit] = omit,
         file_ids: Union[List[str], Omit] = omit,
         memory_limit: Union[Literal["1g", "4g", "16g", "64g"], Omit] = omit,
+        network_policy: Union[container_create_params.NetworkPolicy, Omit] = omit,
+        skills: Union[Iterable[container_create_params.Skill], Omit] = omit,
         **kwargs,
     ) -> ContainerCreateResponse:
         extra_headers = kwargs.pop("extra_headers", None)
@@ -300,6 +308,8 @@ async def create(
             expires_after=expires_after,
             file_ids=file_ids,
             memory_limit=memory_limit,
+            network_policy=network_policy,
+            skills=skills,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body=extra_body,
@@ -345,6 +355,7 @@ async def list(
         *,
         after: Union[str, Omit] = omit,
         limit: Union[int, Omit] = omit,
+        name: Union[str, Omit] = omit,
         order: Union[Literal["asc", "desc"], Omit] = omit,
         **kwargs,
     ) -> ContainerListResponse:
@@ -355,6 +366,7 @@ async def list(
         response = await self.openai_client.with_raw_response.containers.list(
             after=after,
             limit=limit,
+            name=name,
             order=order,
             extra_headers=extra_headers,
             extra_query=extra_query,
diff --git a/portkey_ai/api_resources/apis/fine_tuning.py b/portkey_ai/api_resources/apis/fine_tuning.py
index a52a556e..0d3679e1 100644
--- a/portkey_ai/api_resources/apis/fine_tuning.py
+++ b/portkey_ai/api_resources/apis/fine_tuning.py
@@ -1,5 +1,6 @@
 import json
 from typing import Iterable, List, Literal, Optional, Union
+import typing_extensions
 from portkey_ai._vendor.openai.types.fine_tuning.alpha import grader_run_params
 from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
@@ -10,6 +11,7 @@
 from portkey_ai.api_resources.types.finetuning_checkpoint_permissions import (
     PermissionCreateResponse,
     PermissionDeleteResponse,
+    PermissionListPage,
     PermissionRetrieveResponse,
 )
 from ..._vendor.openai._types import Omit, omit
@@ -184,6 +186,9 @@ def create(
 
         return data
 
+    @typing_extensions.deprecated(
+        "Retrieve is deprecated. Please swap to the paginated list method instead."
+    )
     def retrieve(
         self,
         fine_tuned_model_checkpoint: str,
@@ -207,6 +212,29 @@ def retrieve(
 
         return data
 
+    def list(
+        self,
+        fine_tuned_model_checkpoint: str,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["ascending", "descending"], Omit] = omit,
+        project_id: Union[str, Omit] = omit,
+        **kwargs,
+    ) -> PermissionListPage:
+        response = self.openai_client.with_raw_response.fine_tuning.checkpoints.permissions.list(  # noqa: E501
+            fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            after=after,
+            limit=limit,
+            order=order,
+            project_id=project_id,
+            extra_body=kwargs,
+        )
+        data = PermissionListPage(**json.loads(response.text))
+        data._headers = response.headers
+
+        return data
+
     def delete(
         self,
         permission_id: str,
@@ -440,6 +468,9 @@ async def create(
 
         return data
 
+    @typing_extensions.deprecated(
+        "Retrieve is deprecated. Please swap to the paginated list method instead."
+    )
     async def retrieve(
         self,
         fine_tuned_model_checkpoint: str,
@@ -463,6 +494,29 @@ async def retrieve(
 
         return data
 
+    async def list(
+        self,
+        fine_tuned_model_checkpoint: str,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["ascending", "descending"], Omit] = omit,
+        project_id: Union[str, Omit] = omit,
+        **kwargs,
+    ) -> PermissionListPage:
+        response = await self.openai_client.with_raw_response.fine_tuning.checkpoints.permissions.list(  # noqa: E501
+            fine_tuned_model_checkpoint=fine_tuned_model_checkpoint,
+            after=after,
+            limit=limit,
+            order=order,
+            project_id=project_id,
+            extra_body=kwargs,
+        )
+        data = PermissionListPage(**json.loads(response.text))
+        data._headers = response.headers
+
+        return data
+
     async def delete(
         self,
         permission_id: str,
diff --git a/portkey_ai/api_resources/apis/main_realtime.py b/portkey_ai/api_resources/apis/main_realtime.py
index 0e7b3dfb..b60952e5 100644
--- a/portkey_ai/api_resources/apis/main_realtime.py
+++ b/portkey_ai/api_resources/apis/main_realtime.py
@@ -28,7 +28,7 @@
     ResponsePromptParam,
 )
 from portkey_ai._vendor.openai.types.websocket_connection_options import (
-    WebsocketConnectionOptions,
+    WebSocketConnectionOptions,
 )
 from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
@@ -48,7 +48,7 @@ def connect(
         model: str,
         extra_query: Query = {},
         extra_headers: Headers = {},
-        websocket_connection_options: WebsocketConnectionOptions = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
     ) -> RealtimeConnectionManager:
         return self.openai_client.realtime.connect(
             model=model,
@@ -71,7 +71,7 @@ def connect(
         model: str,
         extra_query: Query = {},
         extra_headers: Headers = {},
-        websocket_connection_options: WebsocketConnectionOptions = {},
+        websocket_connection_options: WebSocketConnectionOptions = {},
     ) -> AsyncRealtimeConnectionManager:
         return self.openai_client.realtime.connect(
             model=model,
@@ -174,6 +174,7 @@ def accept(
             str,
             Literal[
                 "gpt-realtime",
+                "gpt-realtime-1.5",
                 "gpt-realtime-2025-08-28",
                 "gpt-4o-realtime-preview",
                 "gpt-4o-realtime-preview-2024-10-01",
@@ -183,8 +184,11 @@ def accept(
                 "gpt-4o-mini-realtime-preview-2024-12-17",
                 "gpt-realtime-mini",
                 "gpt-realtime-mini-2025-10-06",
+                "gpt-realtime-mini-2025-12-15",
+                "gpt-audio-1.5",
                 "gpt-audio-mini",
                 "gpt-audio-mini-2025-10-06",
+                "gpt-audio-mini-2025-12-15",
             ],
             Omit,
         ] = omit,
@@ -314,6 +318,7 @@ async def accept(
             str,
             Literal[
                 "gpt-realtime",
+                "gpt-realtime-1.5",
                 "gpt-realtime-2025-08-28",
                 "gpt-4o-realtime-preview",
                 "gpt-4o-realtime-preview-2024-10-01",
@@ -323,8 +328,11 @@ async def accept(
                 "gpt-4o-mini-realtime-preview-2024-12-17",
                 "gpt-realtime-mini",
                 "gpt-realtime-mini-2025-10-06",
+                "gpt-realtime-mini-2025-12-15",
+                "gpt-audio-1.5",
                 "gpt-audio-mini",
                 "gpt-audio-mini-2025-10-06",
+                "gpt-audio-mini-2025-12-15",
             ],
             Omit,
         ] = omit,
diff --git a/portkey_ai/api_resources/apis/responses.py b/portkey_ai/api_resources/apis/responses.py
index 547536c5..efa52863 100644
--- a/portkey_ai/api_resources/apis/responses.py
+++ b/portkey_ai/api_resources/apis/responses.py
@@ -1,11 +1,15 @@
 import json
-from typing import Iterable, List, Literal, Optional, Union
+from typing import Iterable, List, Literal, Optional, Type, Union
 from portkey_ai._vendor.openai._streaming import AsyncStream, Stream
 from portkey_ai._vendor.openai.lib._parsing._responses import TextFormatT
 from portkey_ai._vendor.openai.lib.streaming.responses._responses import (
     AsyncResponseStreamManager,
     ResponseStreamManager,
 )
+from portkey_ai._vendor.openai.resources.responses.responses import (
+    AsyncResponsesConnectionManager,
+    ResponsesConnectionManager,
+)
 from portkey_ai._vendor.openai.types.responses import (
     input_token_count_params,
     response_create_params,
@@ -20,6 +24,9 @@
 from portkey_ai._vendor.openai.types.responses.response_input_param import (
     ResponseInputParam,
 )
+from portkey_ai._vendor.openai.types.responses.response_prompt_param import (
+    ResponsePromptParam,
+)
 from portkey_ai._vendor.openai.types.responses.response_stream_event import (
     ResponseStreamEvent,
 )
@@ -34,6 +41,9 @@
 from portkey_ai._vendor.openai.types.shared.chat_model import ChatModel
 from portkey_ai._vendor.openai.types.shared.responses_model import ResponsesModel
 from portkey_ai._vendor.openai.types.shared_params.reasoning import Reasoning
+from portkey_ai._vendor.openai.types.websocket_connection_options import (
+    WebSocketConnectionOptions,
+)
 from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
 from portkey_ai.api_resources.types.response_type import (
@@ -60,24 +70,40 @@ def __init__(self, client: Portkey) -> None:
     def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
-        stream: Union[Literal[False], Omit] = omit,
+        stream: Union[Optional[Literal[False]], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -89,24 +115,40 @@ def create(
     def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
         stream: Literal[True],
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -118,24 +160,40 @@ def create(
     def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
         stream: bool,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -146,24 +204,40 @@ def create(
     def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
         stream: Union[Optional[Literal[False]], Literal[True], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -175,22 +249,32 @@ def create(
         timeout = kwargs.pop("timeout", None)
 
         return self.openai_client.responses.create(  # type: ignore[misc]
-            input=input,
-            model=model,
+            background=background,
+            context_management=context_management,
+            conversation=conversation,
             include=include,
+            input=input,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
+            model=model,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream=stream,  # type: ignore[arg-type]
+            stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
             tools=tools,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
@@ -200,6 +284,7 @@ def create(
             timeout=timeout,
         )
 
+    @overload
     def retrieve(
         self,
         response_id: str,
@@ -207,18 +292,71 @@ def retrieve(
         include: Union[List[ResponseIncludable], Omit] = omit,
         include_obfuscation: Union[bool, Omit] = omit,
         starting_after: Union[int, Omit] = omit,
+        stream: Union[Literal[False], Omit] = omit,
         **kwargs,
     ) -> ResponseType:
+        ...
+
+    @overload
+    def retrieve(
+        self,
+        response_id: str,
+        *,
+        stream: Literal[True],
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        **kwargs,
+    ) -> Stream[ResponseStreamEvent]:
+        ...
+
+    @overload
+    def retrieve(
+        self,
+        response_id: str,
+        *,
+        stream: bool,
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        **kwargs,
+    ) -> Union[ResponseType, Stream[ResponseStreamEvent]]:
+        ...
+
+    def retrieve(
+        self,
+        response_id: str,
+        *,
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        stream: Union[Literal[False], Literal[True], Omit] = omit,
+        **kwargs,
+    ) -> Union[ResponseType, Stream[ResponseStreamEvent]]:
         extra_headers = kwargs.pop("extra_headers", None)
         extra_query = kwargs.pop("extra_query", None)
         extra_body = kwargs.pop("extra_body", None)
         timeout = kwargs.pop("timeout", None)
 
+        if stream is True:
+            return self.openai_client.responses.retrieve(
+                response_id=response_id,
+                stream=stream,
+                include=include,
+                include_obfuscation=include_obfuscation,
+                starting_after=starting_after,
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body={**(extra_body or {}), **kwargs},
+                timeout=timeout,
+            )
+
         response = self.openai_client.with_raw_response.responses.retrieve(
             response_id=response_id,
             include=include,
             include_obfuscation=include_obfuscation,
             starting_after=starting_after,
+            stream=stream,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -244,58 +382,143 @@ def delete(self, response_id: str, **kwargs) -> None:
             timeout=timeout,
         )
 
+    @overload
+    def stream(
+        self,
+        *,
+        response_id: str,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
+        **kwargs,
+    ) -> ResponseStreamManager[TextFormatT]:
+        ...
+
+    @overload
     def stream(
         self,
         *,
         input: Union[str, ResponseInputParam],
-        model: Union[str, ChatModel],
-        text_format: Union[type[TextFormatT], Omit] = omit,  # type: ignore[type-arg]
+        model: ResponsesModel,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
         tools: Union[Iterable[ParseableToolParam], Omit] = omit,
-        include: Union[List[ResponseIncludable], Omit] = omit,
-        instructions: Union[str, Omit] = omit,
-        max_output_tokens: Union[int, Omit] = omit,
-        metadata: Union[Metadata, Omit] = omit,
-        parallel_tool_calls: Union[bool, Omit] = omit,
-        previous_response_id: Union[str, Omit] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
-        reasoning: Union[Reasoning, Omit] = omit,
-        store: Union[bool, Omit] = omit,
-        stream_options: Union[response_create_params.StreamOptions, Omit] = omit,
-        temperature: Union[float, Omit] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
-        top_p: Union[float, Omit] = omit,
-        truncation: Union[Literal["auto", "disabled"], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
+        user: Union[str, Omit] = omit,
+        **kwargs,
+    ) -> ResponseStreamManager[TextFormatT]:
+        ...
+
+    def stream(
+        self,
+        *,
+        response_id: Union[str, Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
+        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
+        prompt_cache_retention: Union[
+            Optional[Literal["in-memory", "24h"]], Omit
+        ] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
+        text: Union[ResponseTextConfigParam, Omit] = omit,
+        tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
         **kwargs,
     ) -> ResponseStreamManager[TextFormatT]:
         extra_headers = kwargs.pop("extra_headers", None)
         extra_query = kwargs.pop("extra_query", None)
         extra_body = kwargs.pop("extra_body", None)
         timeout = kwargs.pop("timeout", None)
-        return self.openai_client.responses.stream(
+        return self.openai_client.responses.stream(  # type: ignore[call-overload, misc]
+            response_id=response_id,
             input=input,
             model=model,
+            background=background,
+            context_management=context_management,
             text_format=text_format,
             tools=tools,
+            conversation=conversation,
             include=include,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
+            starting_after=starting_after,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -305,28 +528,45 @@ def stream(
     def parse(
         self,
         *,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
         input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[str, ChatModel, Omit] = omit,
-        text_format: Union[type[TextFormatT], Omit] = omit,  # type: ignore[type-arg]
-        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
-        include: Union[List[ResponseIncludable], Omit] = omit,
-        instructions: Union[str, Omit] = omit,
-        max_output_tokens: Union[int, Omit] = omit,
-        metadata: Union[Metadata, Omit] = omit,
-        parallel_tool_calls: Union[bool, Omit] = omit,
-        previous_response_id: Union[str, Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
-        reasoning: Union[Reasoning, Omit] = omit,
-        store: Union[bool, Omit] = omit,
-        stream: Union[Literal[False], Literal[True], Omit] = omit,
-        temperature: Union[float, Omit] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream: Union[Optional[Literal[False]], Literal[True], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
-        top_p: Union[float, Omit] = omit,
-        truncation: Union[Literal["auto", "disabled"], Omit] = omit,
+        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
+        verbosity: Union[Optional[Literal["low", "medium", "high"]], Omit] = omit,
         **kwargs,
     ) -> ParsedResponse[TextFormatT]:
         extra_headers = kwargs.pop("extra_headers", None)
@@ -335,26 +575,37 @@ def parse(
         timeout = kwargs.pop("timeout", None)
 
         return self.openai_client.responses.parse(
+            text_format=text_format,
+            background=background,
+            context_management=context_management,
+            conversation=conversation,
             input=input,
             model=model,
-            text_format=text_format,
             tools=tools,
             include=include,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream=stream,
+            stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
+            verbosity=verbosity,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -381,10 +632,108 @@ def cancel(
     def compact(
         self,
         *,
-        model: Union[str, Omit] = omit,
+        model: Union[
+            Literal[
+                "gpt-5.4",
+                "gpt-5.4-mini",
+                "gpt-5.4-nano",
+                "gpt-5.4-mini-2026-03-17",
+                "gpt-5.4-nano-2026-03-17",
+                "gpt-5.3-chat-latest",
+                "gpt-5.2",
+                "gpt-5.2-2025-12-11",
+                "gpt-5.2-chat-latest",
+                "gpt-5.2-pro",
+                "gpt-5.2-pro-2025-12-11",
+                "gpt-5.1",
+                "gpt-5.1-2025-11-13",
+                "gpt-5.1-codex",
+                "gpt-5.1-mini",
+                "gpt-5.1-chat-latest",
+                "gpt-5",
+                "gpt-5-mini",
+                "gpt-5-nano",
+                "gpt-5-2025-08-07",
+                "gpt-5-mini-2025-08-07",
+                "gpt-5-nano-2025-08-07",
+                "gpt-5-chat-latest",
+                "gpt-4.1",
+                "gpt-4.1-mini",
+                "gpt-4.1-nano",
+                "gpt-4.1-2025-04-14",
+                "gpt-4.1-mini-2025-04-14",
+                "gpt-4.1-nano-2025-04-14",
+                "o4-mini",
+                "o4-mini-2025-04-16",
+                "o3",
+                "o3-2025-04-16",
+                "o3-mini",
+                "o3-mini-2025-01-31",
+                "o1",
+                "o1-2024-12-17",
+                "o1-preview",
+                "o1-preview-2024-09-12",
+                "o1-mini",
+                "o1-mini-2024-09-12",
+                "gpt-4o",
+                "gpt-4o-2024-11-20",
+                "gpt-4o-2024-08-06",
+                "gpt-4o-2024-05-13",
+                "gpt-4o-audio-preview",
+                "gpt-4o-audio-preview-2024-10-01",
+                "gpt-4o-audio-preview-2024-12-17",
+                "gpt-4o-audio-preview-2025-06-03",
+                "gpt-4o-mini-audio-preview",
+                "gpt-4o-mini-audio-preview-2024-12-17",
+                "gpt-4o-search-preview",
+                "gpt-4o-mini-search-preview",
+                "gpt-4o-search-preview-2025-03-11",
+                "gpt-4o-mini-search-preview-2025-03-11",
+                "chatgpt-4o-latest",
+                "codex-mini-latest",
+                "gpt-4o-mini",
+                "gpt-4o-mini-2024-07-18",
+                "gpt-4-turbo",
+                "gpt-4-turbo-2024-04-09",
+                "gpt-4-0125-preview",
+                "gpt-4-turbo-preview",
+                "gpt-4-1106-preview",
+                "gpt-4-vision-preview",
+                "gpt-4",
+                "gpt-4-0314",
+                "gpt-4-0613",
+                "gpt-4-32k",
+                "gpt-4-32k-0314",
+                "gpt-4-32k-0613",
+                "gpt-3.5-turbo",
+                "gpt-3.5-turbo-16k",
+                "gpt-3.5-turbo-0301",
+                "gpt-3.5-turbo-0613",
+                "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
+                "gpt-3.5-turbo-16k-0613",
+                "o1-pro",
+                "o1-pro-2025-03-19",
+                "o3-pro",
+                "o3-pro-2025-06-10",
+                "o3-deep-research",
+                "o3-deep-research-2025-06-26",
+                "o4-mini-deep-research",
+                "o4-mini-deep-research-2025-06-26",
+                "computer-use-preview",
+                "computer-use-preview-2025-03-11",
+                "gpt-5-codex",
+                "gpt-5-pro",
+                "gpt-5-pro-2025-10-06",
+                "gpt-5.1-codex-max",
+            ],
+            str,
+            None,
+        ],
         input: Union[str, Iterable[ResponseInputItemParam], None, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt_cache_key: Union[Optional[str], Omit] = omit,
         **kwargs,
     ) -> CompactedResponse:
         import json
@@ -398,6 +747,7 @@ def compact(
             input=input,
             instructions=instructions,
             previous_response_id=previous_response_id,
+            prompt_cache_key=prompt_cache_key,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -407,6 +757,18 @@ def compact(
         data._headers = response.headers
         return data
 
+    def connect(
+        self,
+        *,
+        websocket_connection_options: WebSocketConnectionOptions = {},
+        **kwargs,
+    ) -> ResponsesConnectionManager:
+        return self.openai_client.responses.connect(
+            websocket_connection_options=websocket_connection_options,
+            extra_headers=self.openai_client.default_headers,
+            **kwargs,
+        )
+
 
 class InputItems(APIResource):
     def __init__(self, client: Portkey) -> None:
@@ -503,24 +865,40 @@ def __init__(self, client: AsyncPortkey) -> None:
     async def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
         stream: Union[Literal[False], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -532,24 +910,40 @@ async def create(
     async def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
         stream: Literal[True],
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -561,24 +955,40 @@ async def create(
     async def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
         stream: bool,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -589,24 +999,40 @@ async def create(
     async def create(
         self,
         *,
-        input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[ResponsesModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
         metadata: Union[Optional[Metadata], Omit] = omit,
+        model: Union[ResponsesModel, Omit] = omit,
         parallel_tool_calls: Union[Optional[bool], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
         reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
         store: Union[Optional[bool], Omit] = omit,
         stream: Union[Optional[Literal[False]], Literal[True], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
         temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
         tools: Union[Iterable[ToolParam], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
         top_p: Union[Optional[float], Omit] = omit,
         truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
@@ -618,22 +1044,32 @@ async def create(
         timeout = kwargs.pop("timeout", None)
 
         return await self.openai_client.responses.create(  # type: ignore[misc]
-            input=input,
-            model=model,
+            background=background,
+            context_management=context_management,
+            conversation=conversation,
             include=include,
+            input=input,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
+            model=model,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream=stream,  # type: ignore[arg-type]
+            stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
             tools=tools,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
@@ -643,6 +1079,7 @@ async def create(
             timeout=timeout,
         )
 
+    @overload
     async def retrieve(
         self,
         response_id: str,
@@ -650,18 +1087,71 @@ async def retrieve(
         include: Union[List[ResponseIncludable], Omit] = omit,
         include_obfuscation: Union[bool, Omit] = omit,
         starting_after: Union[int, Omit] = omit,
+        stream: Union[Literal[False], Omit] = omit,
         **kwargs,
     ) -> ResponseType:
+        ...
+
+    @overload
+    async def retrieve(
+        self,
+        response_id: str,
+        *,
+        stream: Literal[True],
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        **kwargs,
+    ) -> AsyncStream[ResponseStreamEvent]:
+        ...
+
+    @overload
+    async def retrieve(
+        self,
+        response_id: str,
+        *,
+        stream: bool,
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        **kwargs,
+    ) -> Union[ResponseType, AsyncStream[ResponseStreamEvent]]:
+        ...
+
+    async def retrieve(
+        self,
+        response_id: str,
+        *,
+        include: Union[List[ResponseIncludable], Omit] = omit,
+        include_obfuscation: Union[bool, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        stream: Union[Literal[False], Literal[True], Omit] = omit,
+        **kwargs,
+    ) -> Union[ResponseType, AsyncStream[ResponseStreamEvent]]:
         extra_headers = kwargs.pop("extra_headers", None)
         extra_query = kwargs.pop("extra_query", None)
         extra_body = kwargs.pop("extra_body", None)
         timeout = kwargs.pop("timeout", None)
 
+        if stream is True:
+            return await self.openai_client.responses.retrieve(
+                response_id=response_id,
+                stream=stream,
+                include=include,
+                include_obfuscation=include_obfuscation,
+                starting_after=starting_after,
+                extra_headers=extra_headers,
+                extra_query=extra_query,
+                extra_body={**(extra_body or {}), **kwargs},
+                timeout=timeout,
+            )
+
         response = await self.openai_client.with_raw_response.responses.retrieve(
             response_id=response_id,
             include=include,
             include_obfuscation=include_obfuscation,
             starting_after=starting_after,
+            stream=stream,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -687,58 +1177,143 @@ async def delete(self, response_id: str, **kwargs) -> None:
             timeout=timeout,
         )
 
+    @overload
+    def stream(
+        self,
+        *,
+        response_id: str,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
+        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
+        **kwargs,
+    ) -> AsyncResponseStreamManager[TextFormatT]:
+        ...
+
+    @overload
     def stream(
         self,
         *,
         input: Union[str, ResponseInputParam],
         model: Union[str, ChatModel],
-        text_format: Union[type[TextFormatT], Omit] = omit,  # type: ignore[type-arg]
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
         tools: Union[Iterable[ParseableToolParam], Omit] = omit,
-        include: Union[List[ResponseIncludable], Omit] = omit,
-        instructions: Union[str, Omit] = omit,
-        max_output_tokens: Union[int, Omit] = omit,
-        metadata: Union[Metadata, Omit] = omit,
-        parallel_tool_calls: Union[bool, Omit] = omit,
-        previous_response_id: Union[str, Omit] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
-        reasoning: Union[Reasoning, Omit] = omit,
-        store: Union[bool, Omit] = omit,
-        stream_options: Union[response_create_params.StreamOptions, Omit] = omit,
-        temperature: Union[float, Omit] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
-        top_p: Union[float, Omit] = omit,
-        truncation: Union[Literal["auto", "disabled"], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
+        user: Union[str, Omit] = omit,
+        **kwargs,
+    ) -> AsyncResponseStreamManager[TextFormatT]:
+        ...
+
+    def stream(
+        self,
+        *,
+        response_id: Union[str, Omit] = omit,
+        input: Union[str, ResponseInputParam, Omit] = omit,
+        model: Union[str, ChatModel, Omit] = omit,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
+        tools: Union[Iterable[ParseableToolParam], Omit] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
+        prompt_cache_retention: Union[
+            Optional[Literal["in-memory", "24h"]], Omit
+        ] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
+        text: Union[ResponseTextConfigParam, Omit] = omit,
+        tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
+        starting_after: Union[int, Omit] = omit,
         **kwargs,
     ) -> AsyncResponseStreamManager[TextFormatT]:
         extra_headers = kwargs.pop("extra_headers", None)
         extra_query = kwargs.pop("extra_query", None)
         extra_body = kwargs.pop("extra_body", None)
         timeout = kwargs.pop("timeout", None)
-        return self.openai_client.responses.stream(
+        return self.openai_client.responses.stream(  # type: ignore[call-overload, misc]
+            response_id=response_id,
             input=input,
             model=model,
+            background=background,
+            context_management=context_management,
             text_format=text_format,
             tools=tools,
+            conversation=conversation,
             include=include,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
+            starting_after=starting_after,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -748,28 +1323,45 @@ def stream(
     async def parse(
         self,
         *,
+        background: Union[Optional[bool], Omit] = omit,
+        context_management: Union[
+            Optional[Iterable[response_create_params.ContextManagement]], Omit
+        ] = omit,
+        conversation: Union[Optional[response_create_params.Conversation], Omit] = omit,
         input: Union[str, ResponseInputParam, Omit] = omit,
-        model: Union[str, ChatModel, Omit] = omit,
-        text_format: Union[type[TextFormatT], Omit] = omit,  # type: ignore[type-arg]
+        model: Union[ResponsesModel, Omit] = omit,
+        text_format: Union[Type[TextFormatT], Omit] = omit,
         tools: Union[Iterable[ParseableToolParam], Omit] = omit,
-        include: Union[List[ResponseIncludable], Omit] = omit,
-        instructions: Union[str, Omit] = omit,
-        max_output_tokens: Union[int, Omit] = omit,
-        metadata: Union[Metadata, Omit] = omit,
-        parallel_tool_calls: Union[bool, Omit] = omit,
-        previous_response_id: Union[str, Omit] = omit,
+        include: Union[Optional[List[ResponseIncludable]], Omit] = omit,
+        instructions: Union[Optional[str], Omit] = omit,
+        max_output_tokens: Union[Optional[int], Omit] = omit,
+        max_tool_calls: Union[Optional[int], Omit] = omit,
+        metadata: Union[Optional[Metadata], Omit] = omit,
+        parallel_tool_calls: Union[Optional[bool], Omit] = omit,
+        previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt: Union[Optional[ResponsePromptParam], Omit] = omit,
+        prompt_cache_key: Union[str, Omit] = omit,
         prompt_cache_retention: Union[
             Optional[Literal["in-memory", "24h"]], Omit
         ] = omit,
-        reasoning: Union[Reasoning, Omit] = omit,
-        store: Union[bool, Omit] = omit,
-        stream: Union[Literal[False], Literal[True], Omit] = omit,
-        temperature: Union[float, Omit] = omit,
+        reasoning: Union[Optional[Reasoning], Omit] = omit,
+        safety_identifier: Union[str, Omit] = omit,
+        service_tier: Union[
+            Optional[Literal["auto", "default", "flex", "scale", "priority"]], Omit
+        ] = omit,
+        store: Union[Optional[bool], Omit] = omit,
+        stream: Union[Optional[Literal[False]], Literal[True], Omit] = omit,
+        stream_options: Union[
+            Optional[response_create_params.StreamOptions], Omit
+        ] = omit,
+        temperature: Union[Optional[float], Omit] = omit,
         text: Union[ResponseTextConfigParam, Omit] = omit,
         tool_choice: Union[response_create_params.ToolChoice, Omit] = omit,
-        top_p: Union[float, Omit] = omit,
-        truncation: Union[Literal["auto", "disabled"], Omit] = omit,
+        top_logprobs: Union[Optional[int], Omit] = omit,
+        top_p: Union[Optional[float], Omit] = omit,
+        truncation: Union[Optional[Literal["auto", "disabled"]], Omit] = omit,
         user: Union[str, Omit] = omit,
+        verbosity: Union[Optional[Literal["low", "medium", "high"]], Omit] = omit,
         **kwargs,
     ) -> ParsedResponse[TextFormatT]:
         extra_headers = kwargs.pop("extra_headers", None)
@@ -778,6 +1370,9 @@ async def parse(
         timeout = kwargs.pop("timeout", None)
 
         return await self.openai_client.responses.parse(
+            background=background,
+            context_management=context_management,
+            conversation=conversation,
             input=input,
             model=model,
             text_format=text_format,
@@ -785,19 +1380,27 @@ async def parse(
             include=include,
             instructions=instructions,
             max_output_tokens=max_output_tokens,
+            max_tool_calls=max_tool_calls,
             metadata=metadata,
             parallel_tool_calls=parallel_tool_calls,
             previous_response_id=previous_response_id,
+            prompt=prompt,
+            prompt_cache_key=prompt_cache_key,
             prompt_cache_retention=prompt_cache_retention,
             reasoning=reasoning,
+            safety_identifier=safety_identifier,
+            service_tier=service_tier,
             store=store,
             stream=stream,
+            stream_options=stream_options,
             temperature=temperature,
             text=text,
             tool_choice=tool_choice,
+            top_logprobs=top_logprobs,
             top_p=top_p,
             truncation=truncation,
             user=user,
+            verbosity=verbosity,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -824,10 +1427,108 @@ async def cancel(
     async def compact(
         self,
         *,
-        model: Union[str, Omit] = omit,
+        model: Union[
+            Literal[
+                "gpt-5.4",
+                "gpt-5.4-mini",
+                "gpt-5.4-nano",
+                "gpt-5.4-mini-2026-03-17",
+                "gpt-5.4-nano-2026-03-17",
+                "gpt-5.3-chat-latest",
+                "gpt-5.2",
+                "gpt-5.2-2025-12-11",
+                "gpt-5.2-chat-latest",
+                "gpt-5.2-pro",
+                "gpt-5.2-pro-2025-12-11",
+                "gpt-5.1",
+                "gpt-5.1-2025-11-13",
+                "gpt-5.1-codex",
+                "gpt-5.1-mini",
+                "gpt-5.1-chat-latest",
+                "gpt-5",
+                "gpt-5-mini",
+                "gpt-5-nano",
+                "gpt-5-2025-08-07",
+                "gpt-5-mini-2025-08-07",
+                "gpt-5-nano-2025-08-07",
+                "gpt-5-chat-latest",
+                "gpt-4.1",
+                "gpt-4.1-mini",
+                "gpt-4.1-nano",
+                "gpt-4.1-2025-04-14",
+                "gpt-4.1-mini-2025-04-14",
+                "gpt-4.1-nano-2025-04-14",
+                "o4-mini",
+                "o4-mini-2025-04-16",
+                "o3",
+                "o3-2025-04-16",
+                "o3-mini",
+                "o3-mini-2025-01-31",
+                "o1",
+                "o1-2024-12-17",
+                "o1-preview",
+                "o1-preview-2024-09-12",
+                "o1-mini",
+                "o1-mini-2024-09-12",
+                "gpt-4o",
+                "gpt-4o-2024-11-20",
+                "gpt-4o-2024-08-06",
+                "gpt-4o-2024-05-13",
+                "gpt-4o-audio-preview",
+                "gpt-4o-audio-preview-2024-10-01",
+                "gpt-4o-audio-preview-2024-12-17",
+                "gpt-4o-audio-preview-2025-06-03",
+                "gpt-4o-mini-audio-preview",
+                "gpt-4o-mini-audio-preview-2024-12-17",
+                "gpt-4o-search-preview",
+                "gpt-4o-mini-search-preview",
+                "gpt-4o-search-preview-2025-03-11",
+                "gpt-4o-mini-search-preview-2025-03-11",
+                "chatgpt-4o-latest",
+                "codex-mini-latest",
+                "gpt-4o-mini",
+                "gpt-4o-mini-2024-07-18",
+                "gpt-4-turbo",
+                "gpt-4-turbo-2024-04-09",
+                "gpt-4-0125-preview",
+                "gpt-4-turbo-preview",
+                "gpt-4-1106-preview",
+                "gpt-4-vision-preview",
+                "gpt-4",
+                "gpt-4-0314",
+                "gpt-4-0613",
+                "gpt-4-32k",
+                "gpt-4-32k-0314",
+                "gpt-4-32k-0613",
+                "gpt-3.5-turbo",
+                "gpt-3.5-turbo-16k",
+                "gpt-3.5-turbo-0301",
+                "gpt-3.5-turbo-0613",
+                "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
+                "gpt-3.5-turbo-16k-0613",
+                "o1-pro",
+                "o1-pro-2025-03-19",
+                "o3-pro",
+                "o3-pro-2025-06-10",
+                "o3-deep-research",
+                "o3-deep-research-2025-06-26",
+                "o4-mini-deep-research",
+                "o4-mini-deep-research-2025-06-26",
+                "computer-use-preview",
+                "computer-use-preview-2025-03-11",
+                "gpt-5-codex",
+                "gpt-5-pro",
+                "gpt-5-pro-2025-10-06",
+                "gpt-5.1-codex-max",
+            ],
+            str,
+            None,
+        ],
         input: Union[str, Iterable[ResponseInputItemParam], None, Omit] = omit,
         instructions: Union[Optional[str], Omit] = omit,
         previous_response_id: Union[Optional[str], Omit] = omit,
+        prompt_cache_key: Union[Optional[str], Omit] = omit,
         **kwargs,
     ) -> CompactedResponse:
         import json
@@ -841,6 +1542,7 @@ async def compact(
             input=input,
             instructions=instructions,
             previous_response_id=previous_response_id,
+            prompt_cache_key=prompt_cache_key,
             extra_headers=extra_headers,
             extra_query=extra_query,
             extra_body={**(extra_body or {}), **kwargs},
@@ -850,6 +1552,18 @@ async def compact(
         data._headers = response.headers
         return data
 
+    def connect(
+        self,
+        *,
+        websocket_connection_options: WebSocketConnectionOptions = {},
+        **kwargs,
+    ) -> AsyncResponsesConnectionManager:
+        return self.openai_client.responses.connect(
+            websocket_connection_options=websocket_connection_options,
+            extra_headers=self.openai_client.default_headers,
+            **kwargs,
+        )
+
 
 class AsyncInputItems(AsyncAPIResource):
     def __init__(self, client: AsyncPortkey) -> None:
diff --git a/portkey_ai/api_resources/apis/skills.py b/portkey_ai/api_resources/apis/skills.py
new file mode 100644
index 00000000..b94d64ab
--- /dev/null
+++ b/portkey_ai/api_resources/apis/skills.py
@@ -0,0 +1,574 @@
+import json
+from typing import List, Union
+from typing_extensions import Literal
+
+from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
+from portkey_ai.api_resources.client import AsyncPortkey, Portkey
+from portkey_ai.api_resources.types.skills_type import (
+    Skill,
+    SkillDeleted,
+    SkillList,
+    SkillVersion,
+    SkillVersionDeleted,
+    SkillVersionList,
+)
+from ..._vendor.openai._types import NOT_GIVEN, FileTypes, NotGiven, Omit, omit
+from ..._vendor.openai._legacy_response import HttpxBinaryResponseContent
+
+
+class SkillsContent(APIResource):
+    def __init__(self, client: Portkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+
+    def retrieve(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> HttpxBinaryResponseContent:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        return self.openai_client.skills.content.retrieve(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+
+
+class AsyncSkillsContent(AsyncAPIResource):
+    def __init__(self, client: AsyncPortkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+
+    async def retrieve(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> HttpxBinaryResponseContent:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        return await self.openai_client.skills.content.retrieve(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+
+
+class SkillsVersionsContent(APIResource):
+    def __init__(self, client: Portkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+
+    def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> HttpxBinaryResponseContent:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        return self.openai_client.skills.versions.content.retrieve(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+
+
+class AsyncSkillsVersionsContent(AsyncAPIResource):
+    def __init__(self, client: AsyncPortkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+
+    async def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> HttpxBinaryResponseContent:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        return await self.openai_client.skills.versions.content.retrieve(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+
+
+class SkillsVersions(APIResource):
+    content: SkillsVersionsContent
+
+    def __init__(self, client: Portkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+        self.content = SkillsVersionsContent(client)
+
+    def create(
+        self,
+        skill_id: str,
+        *,
+        default: Union[bool, Omit] = omit,
+        files: Union[List[FileTypes], FileTypes, Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersion:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.versions.create(
+            skill_id,
+            default=default,
+            files=files,  # type: ignore[arg-type]
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersion(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersion:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.versions.retrieve(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersion(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def list(
+        self,
+        skill_id: str,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["asc", "desc"], Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersionList:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.versions.list(
+            skill_id,
+            after=after,
+            limit=limit,
+            order=order,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersionList(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def delete(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersionDeleted:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.versions.delete(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersionDeleted(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+
+class AsyncSkillsVersions(AsyncAPIResource):
+    content: AsyncSkillsVersionsContent
+
+    def __init__(self, client: AsyncPortkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+        self.content = AsyncSkillsVersionsContent(client)
+
+    async def create(
+        self,
+        skill_id: str,
+        *,
+        default: Union[bool, Omit] = omit,
+        files: Union[List[FileTypes], FileTypes, Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersion:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.versions.create(
+            skill_id,
+            default=default,
+            files=files,  # type: ignore[arg-type]
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersion(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def retrieve(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersion:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.versions.retrieve(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersion(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def list(
+        self,
+        skill_id: str,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["asc", "desc"], Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersionList:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.versions.list(
+            skill_id,
+            after=after,
+            limit=limit,
+            order=order,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersionList(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def delete(
+        self,
+        version: str,
+        *,
+        skill_id: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillVersionDeleted:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.versions.delete(
+            version,
+            skill_id=skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillVersionDeleted(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+
+class Skills(APIResource):
+    content: SkillsContent
+    versions: SkillsVersions
+
+    def __init__(self, client: Portkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+        self.content = SkillsContent(client)
+        self.versions = SkillsVersions(client)
+
+    def create(
+        self,
+        *,
+        files: Union[List[FileTypes], FileTypes, Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.create(
+            files=files,  # type: ignore[arg-type]
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def retrieve(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.retrieve(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def update(
+        self,
+        skill_id: str,
+        *,
+        default_version: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.update(
+            skill_id,
+            default_version=default_version,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def list(
+        self,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["asc", "desc"], Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillList:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.list(
+            after=after,
+            limit=limit,
+            order=order,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillList(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def delete(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillDeleted:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = self.openai_client.with_raw_response.skills.delete(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillDeleted(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+
+class AsyncSkills(AsyncAPIResource):
+    content: AsyncSkillsContent
+    versions: AsyncSkillsVersions
+
+    def __init__(self, client: AsyncPortkey) -> None:
+        super().__init__(client)
+        self.openai_client = client.openai_client
+        self.content = AsyncSkillsContent(client)
+        self.versions = AsyncSkillsVersions(client)
+
+    async def create(
+        self,
+        *,
+        files: Union[List[FileTypes], FileTypes, Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.create(
+            files=files,  # type: ignore[arg-type]
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def retrieve(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.retrieve(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def update(
+        self,
+        skill_id: str,
+        *,
+        default_version: str,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> Skill:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.update(
+            skill_id,
+            default_version=default_version,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = Skill(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def list(
+        self,
+        *,
+        after: Union[str, Omit] = omit,
+        limit: Union[int, Omit] = omit,
+        order: Union[Literal["asc", "desc"], Omit] = omit,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillList:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.list(
+            after=after,
+            limit=limit,
+            order=order,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillList(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def delete(
+        self,
+        skill_id: str,
+        *,
+        timeout: Union[float, NotGiven] = NOT_GIVEN,
+        **kwargs,
+    ) -> SkillDeleted:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        response = await self.openai_client.with_raw_response.skills.delete(
+            skill_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
+        )
+        data = SkillDeleted(**json.loads(response.text))
+        data._headers = response.headers
+        return data
diff --git a/portkey_ai/api_resources/apis/vector_stores.py b/portkey_ai/api_resources/apis/vector_stores.py
index 80fddc13..ed51717d 100644
--- a/portkey_ai/api_resources/apis/vector_stores.py
+++ b/portkey_ai/api_resources/apis/vector_stores.py
@@ -5,8 +5,9 @@
 from portkey_ai.api_resources.apis.api_resource import APIResource, AsyncAPIResource
 from portkey_ai.api_resources.client import AsyncPortkey, Portkey
 from portkey_ai.api_resources.types.shared_types import Metadata
-from ..._vendor.openai._types import Omit, omit, FileTypes
+from ..._vendor.openai._types import Omit, SequenceNotStr, omit, FileTypes
 from ..._vendor.openai.types import (
+    FileChunkingStrategyParam,
     vector_store_create_params,
     vector_store_update_params,
 )
@@ -233,17 +234,23 @@ def create_and_poll(
         chunking_strategy: Union[Any, Omit] = omit,
         **kwargs,
     ) -> VectorStoreFile:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
         response = self.openai_client.vector_stores.files.create_and_poll(
             file_id=file_id,
             vector_store_id=vector_store_id,
             attributes=attributes,
             poll_interval_ms=poll_interval_ms,
             chunking_strategy=chunking_strategy,
-            **kwargs,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {}), **kwargs},
+            timeout=timeout,
         )
-        data = response
-
-        return data  # type: ignore[return-value]
+        return response  # type: ignore[return-value]
 
     def poll(
         self,
@@ -368,20 +375,31 @@ def create_and_poll(
         self,
         vector_store_id: str,
         *,
-        file_ids: List[str],
+        attributes: Union[Optional[Dict[str, Union[str, float, bool]]], Omit] = omit,
+        chunking_strategy: Union[FileChunkingStrategyParam, Omit] = omit,
+        file_ids: Union[SequenceNotStr[str], Omit] = omit,
+        files: Union[Iterable[file_batch_create_params.File], Omit] = omit,
         poll_interval_ms: Union[int, Omit] = omit,
-        chunking_strategy: Union[Any, Omit] = omit,
         **kwargs,
     ) -> VectorStoreFileBatch:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
         response = self.openai_client.vector_stores.file_batches.create_and_poll(
             vector_store_id=vector_store_id,
+            attributes=attributes,
+            chunking_strategy=chunking_strategy,
             file_ids=file_ids,
+            files=files,
             poll_interval_ms=poll_interval_ms,
-            chunking_strategy=chunking_strategy,
-            **kwargs,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
         )
-        data = response
-        return data  # type: ignore[return-value]
+        return response  # type: ignore[return-value]
 
     @typing.no_type_check
     def list_files(
@@ -668,11 +686,20 @@ async def create_and_poll(
         chunking_strategy: Union[Any, Omit] = omit,
         **kwargs,
     ) -> VectorStoreFile:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
         response = await self.openai_client.vector_stores.files.create_and_poll(
             file_id=file_id,
             vector_store_id=vector_store_id,
             poll_interval_ms=poll_interval_ms,
             chunking_strategy=chunking_strategy,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
             **kwargs,
         )
         data = response
@@ -796,17 +823,29 @@ async def create_and_poll(
         self,
         vector_store_id: str,
         *,
-        file_ids: List[str],
+        attributes: Union[Optional[Dict[str, Union[str, float, bool]]], Omit] = omit,
+        chunking_strategy: Union[FileChunkingStrategyParam, Omit] = omit,
+        file_ids: Union[SequenceNotStr[str], Omit] = omit,
+        files: Union[Iterable[file_batch_create_params.File], Omit] = omit,
         poll_interval_ms: Union[int, Omit] = omit,
-        chunking_strategy: Union[Any, Omit] = omit,
         **kwargs,
     ) -> VectorStoreFileBatch:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
         response = await self.openai_client.vector_stores.file_batches.create_and_poll(
             vector_store_id=vector_store_id,
+            attributes=attributes,
+            chunking_strategy=chunking_strategy,
             file_ids=file_ids,
+            files=files,
             poll_interval_ms=poll_interval_ms,
-            chunking_strategy=chunking_strategy,
-            **kwargs,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
         )
         data = response
 
diff --git a/portkey_ai/api_resources/apis/videos.py b/portkey_ai/api_resources/apis/videos.py
index ef810cc4..aed3b368 100644
--- a/portkey_ai/api_resources/apis/videos.py
+++ b/portkey_ai/api_resources/apis/videos.py
@@ -2,6 +2,11 @@
 from typing import Any, Literal, Optional, Union
 
 import httpx
+from portkey_ai._vendor.openai.types import (
+    video_create_params,
+    video_edit_params,
+    video_extend_params,
+)
 from portkey_ai._vendor.openai.types.video_model_param import VideoModelParam
 from portkey_ai._vendor.openai.types.video_seconds import VideoSeconds
 from portkey_ai._vendor.openai.types.video_size import VideoSize
@@ -10,7 +15,9 @@
 from portkey_ai.api_resources.types.shared_types import Body, Headers, Query
 from portkey_ai.api_resources.types.videos_type import (
     Video,
+    VideoCreateCharacterResponse,
     VideoDeleteResponse,
+    VideoGetCharacterResponse,
     VideoList,
 )
 from ..._vendor.openai._types import FileTypes, NotGiven, Omit, not_given, omit
@@ -25,7 +32,7 @@ def create(
         self,
         *,
         prompt: str,
-        input_reference: Union[FileTypes, Omit] = omit,
+        input_reference: Union[video_create_params.InputReference, Omit] = omit,
         model: Union[VideoModelParam, Omit] = omit,
         seconds: Union[VideoSeconds, Omit] = omit,
         size: Union[VideoSize, Omit] = omit,
@@ -54,7 +61,7 @@ def create_and_poll(
         self,
         *,
         prompt: str,
-        input_reference: Union[FileTypes, Omit] = omit,
+        input_reference: Union[video_create_params.InputReference, Omit] = omit,
         model: Union[VideoModelParam, Omit] = omit,
         seconds: Union[VideoSeconds, Omit] = omit,
         size: Union[VideoSize, Omit] = omit,
@@ -155,6 +162,30 @@ def delete(
         data._headers = response.headers
         return data
 
+    def create_character(
+        self,
+        *,
+        name: str,
+        video: FileTypes,
+        **kwargs,
+    ) -> VideoCreateCharacterResponse:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = self.openai_client.with_raw_response.videos.create_character(
+            name=name,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = VideoCreateCharacterResponse(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
     def download_content(
         self,
         video_id: str,
@@ -175,6 +206,77 @@ def download_content(
         )
         return response
 
+    def edit(
+        self,
+        *,
+        prompt: str,
+        video: video_edit_params.Video,
+        **kwargs,
+    ) -> Video:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = self.openai_client.with_raw_response.videos.edit(
+            prompt=prompt,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = Video(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def extend(
+        self,
+        *,
+        prompt: str,
+        seconds: VideoSeconds,
+        video: video_edit_params.Video,
+        **kwargs,
+    ) -> Video:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = self.openai_client.with_raw_response.videos.extend(
+            prompt=prompt,
+            seconds=seconds,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = Video(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    def get_character(
+        self,
+        character_id: str,
+        **kwargs,
+    ) -> VideoGetCharacterResponse:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = self.openai_client.with_raw_response.videos.get_character(
+            character_id=character_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = VideoGetCharacterResponse(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
     def remix(
         self,
         video_id: str,
@@ -207,7 +309,7 @@ async def create(
         self,
         *,
         prompt: str,
-        input_reference: Union[FileTypes, Omit] = omit,
+        input_reference: Union[video_create_params.InputReference, Omit] = omit,
         model: Union[VideoModelParam, Omit] = omit,
         seconds: Union[VideoSeconds, Omit] = omit,
         size: Union[VideoSize, Omit] = omit,
@@ -236,7 +338,7 @@ async def create_and_poll(
         self,
         *,
         prompt: str,
-        input_reference: Union[FileTypes, Omit] = omit,
+        input_reference: Union[video_create_params.InputReference, Omit] = omit,
         model: Union[VideoModelParam, Omit] = omit,
         seconds: Union[VideoSeconds, Omit] = omit,
         size: Union[VideoSize, Omit] = omit,
@@ -337,6 +439,30 @@ async def delete(
         data._headers = response.headers
         return data
 
+    async def create_character(
+        self,
+        *,
+        name: str,
+        video: FileTypes,
+        **kwargs,
+    ) -> VideoCreateCharacterResponse:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = await self.openai_client.with_raw_response.videos.create_character(
+            name=name,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = VideoCreateCharacterResponse(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
     async def download_content(
         self,
         video_id: str,
@@ -357,6 +483,77 @@ async def download_content(
         )
         return response
 
+    async def edit(
+        self,
+        *,
+        prompt: str,
+        video: video_edit_params.Video,
+        **kwargs,
+    ) -> Video:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = await self.openai_client.with_raw_response.videos.edit(
+            prompt=prompt,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = Video(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def extend(
+        self,
+        *,
+        prompt: str,
+        seconds: VideoSeconds,
+        video: video_extend_params.Video,
+        **kwargs,
+    ) -> Video:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = await self.openai_client.with_raw_response.videos.extend(
+            prompt=prompt,
+            seconds=seconds,
+            video=video,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = Video(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
+    async def get_character(
+        self,
+        character_id: str,
+        **kwargs,
+    ) -> VideoGetCharacterResponse:
+        extra_headers = kwargs.pop("extra_headers", None)
+        extra_query = kwargs.pop("extra_query", None)
+        extra_body = kwargs.pop("extra_body", None)
+        timeout = kwargs.pop("timeout", None)
+
+        response = await self.openai_client.with_raw_response.videos.get_character(
+            character_id=character_id,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body={**(extra_body or {})},
+            timeout=timeout,
+        )
+        data = VideoGetCharacterResponse(**json.loads(response.text))
+        data._headers = response.headers
+        return data
+
     async def remix(
         self,
         video_id: str,
diff --git a/portkey_ai/api_resources/client.py b/portkey_ai/api_resources/client.py
index 9d5b6ea9..4558d2a3 100644
--- a/portkey_ai/api_resources/client.py
+++ b/portkey_ai/api_resources/client.py
@@ -42,6 +42,7 @@ class Portkey(APIClient):
     realtime: apis.MainRealtime
     conversations: apis.Conversations
     videos: apis.Videos
+    skills: apis.Skills
     analytics: apis.Analytics
     mcp_servers: apis.McpServers
     mcp_integrations: apis.McpIntegrations
@@ -197,6 +198,7 @@ def __init__(
         self.realtime = apis.MainRealtime(self)
         self.conversations = apis.Conversations(self)
         self.videos = apis.Videos(self)
+        self.skills = apis.Skills(self)
         self.analytics = apis.Analytics(self)
         self.mcp_servers = apis.McpServers(self)
         self.mcp_integrations = apis.McpIntegrations(self)
@@ -386,6 +388,7 @@ class AsyncPortkey(AsyncAPIClient):
     realtime: apis.AsyncMainRealtime
     conversations: apis.AsyncConversations
     videos: apis.AsyncVideos
+    skills: apis.AsyncSkills
     analytics: apis.AsyncAnalytics
     mcp_servers: apis.AsyncMcpServers
     mcp_integrations: apis.AsyncMcpIntegrations
@@ -541,6 +544,7 @@ def __init__(
         self.realtime = apis.AsyncMainRealtime(self)
         self.conversations = apis.AsyncConversations(self)
         self.videos = apis.AsyncVideos(self)
+        self.skills = apis.AsyncSkills(self)
         self.analytics = apis.AsyncAnalytics(self)
         self.mcp_servers = apis.AsyncMcpServers(self)
         self.mcp_integrations = apis.AsyncMcpIntegrations(self)
diff --git a/portkey_ai/api_resources/types/finetuning_checkpoint_permissions.py b/portkey_ai/api_resources/types/finetuning_checkpoint_permissions.py
index 9ef1f6cb..4fb131ed 100644
--- a/portkey_ai/api_resources/types/finetuning_checkpoint_permissions.py
+++ b/portkey_ai/api_resources/types/finetuning_checkpoint_permissions.py
@@ -56,6 +56,27 @@ def get_headers(self) -> Optional[Dict[str, str]]:
         return parse_headers(self._headers)
 
 
+class PermissionListResponse(BaseModel, extra="allow"):
+    id: str
+    created_at: int
+    object: str
+    project_id: str
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
 class PermissionDeleteResponse(BaseModel, extra="allow"):
     id: Optional[str] = None
     deleted: Optional[bool] = None
@@ -74,3 +95,25 @@ def get(self, key: str, default: Optional[Any] = None):
 
     def get_headers(self) -> Optional[Dict[str, str]]:
         return parse_headers(self._headers)
+
+
+class PermissionListPage(BaseModel, extra="allow"):
+    data: Optional[List[PermissionListResponse]] = None
+    has_more: Optional[bool] = None
+    object: Optional[str] = None
+    first_id: Optional[str] = None
+    last_id: Optional[str] = None
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
diff --git a/portkey_ai/api_resources/types/skills_type.py b/portkey_ai/api_resources/types/skills_type.py
new file mode 100644
index 00000000..296c14c2
--- /dev/null
+++ b/portkey_ai/api_resources/types/skills_type.py
@@ -0,0 +1,143 @@
+import json
+from typing import Any, Dict, List, Literal, Optional
+
+import httpx
+from pydantic import BaseModel, PrivateAttr
+
+from .utils import parse_headers
+
+__all__ = [
+    "Skill",
+    "SkillDeleted",
+    "SkillList",
+    "SkillVersion",
+    "SkillVersionDeleted",
+    "SkillVersionList",
+]
+
+
+class Skill(BaseModel, extra="allow"):
+    id: str
+    created_at: int
+    default_version: str
+    description: str
+    latest_version: str
+    name: str
+    object: Literal["skill"]
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class SkillDeleted(BaseModel, extra="allow"):
+    id: str
+    deleted: bool
+    object: Literal["skill.deleted"]
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class SkillList(BaseModel, extra="allow"):
+    object: Optional[str] = None
+    data: Optional[List[Skill]] = None
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class SkillVersion(BaseModel, extra="allow"):
+    id: str
+    created_at: int
+    description: str
+    name: str
+    object: Literal["skill.version"]
+    skill_id: str
+    version: str
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class SkillVersionDeleted(BaseModel, extra="allow"):
+    id: str
+    deleted: bool
+    object: Literal["skill.version.deleted"]
+    version: str
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class SkillVersionList(BaseModel, extra="allow"):
+    object: Optional[str] = None
+    data: Optional[List[SkillVersion]] = None
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
diff --git a/portkey_ai/api_resources/types/videos_type.py b/portkey_ai/api_resources/types/videos_type.py
index 3962faf9..7c768b04 100644
--- a/portkey_ai/api_resources/types/videos_type.py
+++ b/portkey_ai/api_resources/types/videos_type.py
@@ -77,3 +77,43 @@ def get(self, key: str, default: Optional[Any] = None):
 
     def get_headers(self) -> Optional[Dict[str, str]]:
         return parse_headers(self._headers)
+
+
+class VideoCreateCharacterResponse(BaseModel, extra="allow"):
+    id: str
+    created_at: int
+    name: str
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
+
+
+class VideoGetCharacterResponse(BaseModel, extra="allow"):
+    id: str
+    created_at: int
+    name: str
+    _headers: Optional[httpx.Headers] = PrivateAttr()
+
+    def __str__(self):
+        del self._headers
+        return json.dumps(self.dict(), indent=4)
+
+    def __getitem__(self, key):
+        return getattr(self, key, None)
+
+    def get(self, key: str, default: Optional[Any] = None):
+        return getattr(self, key, None) or default
+
+    def get_headers(self) -> Optional[Dict[str, str]]:
+        return parse_headers(self._headers)
diff --git a/portkey_ai/integrations/strands.py b/portkey_ai/integrations/strands.py
index e07c81c8..3d31117b 100644
--- a/portkey_ai/integrations/strands.py
+++ b/portkey_ai/integrations/strands.py
@@ -27,7 +27,6 @@
     Optional,
     TYPE_CHECKING,
     cast,
-    List,
     Type,
     TypeVar,
     Union,
@@ -124,13 +123,17 @@ def format_messages(
                     ):
                         formatted.append({"role": role, "content": part["text"]})
                     elif isinstance(part, dict) and "toolUse" in part:
-                        formatted.append(self._format_tool_use_part(part))
+                        formatted.append(
+                            self._format_tool_use_part(part)  # type: ignore[arg-type]
+                        )
                     elif (
                         isinstance(part, dict)
                         and "toolResult" in part
                         and self._current_tool_use_id is not None
                     ):
-                        formatted.append(self._format_tool_result_part(part))
+                        formatted.append(
+                            self._format_tool_result_part(part)  # type: ignore[arg-type]
+                        )
 
         return formatted
 
@@ -339,13 +342,13 @@ async def stream(
         state["tool_use_id"] = None
         state["tool_name"] = None
 
-    async def structured_output(
+    async def structured_output(  # type: ignore[override]
         self,
         output_model: "Type[T]",
-        prompt: List[dict[str, Any]],
+        prompt: Any,
         system_prompt: Optional[str] = None,
         **kwargs: Any,
-    ) -> AsyncGenerator[dict[str, Union["T", Any]], None]:  # type: ignore[override]
+    ) -> AsyncGenerator[dict[str, Union["T", Any]], None]:
         """Placeholder to satisfy Strands Model abstract requirements.
 
         Note: PortkeyStrands currently focuses on streaming text/tool events via `stream`.
@@ -356,6 +359,7 @@ class to be instantiated by Strands without raising an abstract class error.
             "PortkeyStrands.structured_output is not implemented yet. "
             "Use model.stream(...) for streaming responses."
         )
+        yield {}  # Make this a generator (never reached due to raise above)
 
 
 __all__ = ["PortkeyStrands"]
diff --git a/portkey_ai/version.py b/portkey_ai/version.py
index 3c00bb49..707faadc 100644
--- a/portkey_ai/version.py
+++ b/portkey_ai/version.py
@@ -1 +1 @@
-VERSION = "2.2.0"
+VERSION = "2.3.0"
diff --git a/vendorize.toml b/vendorize.toml
index 356956c6..9e1a1473 100644
--- a/vendorize.toml
+++ b/vendorize.toml
@@ -1,4 +1,4 @@
 target = "portkey_ai/_vendor"
 packages = [
-    "openai==2.16.0"
+    "openai==2.30.0"
 ]
\ No newline at end of file