diff --git a/pdm.lock b/pdm.lock
index 5366b2a..b3a45b5 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -5,18 +5,18 @@
 groups = ["default", "browser", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:c98adf159d9ad896b6e11a83130e1156e009e6b12a1dc309eb18200a6f792794"
+content_hash = "sha256:e3e1cd72fdf3bf0562925ea6ac328e40f5692847c8bc267c3f77d715d04483c0"
 
 [[metadata.targets]]
-requires_python = ">=3.11"
+requires_python = ">=3.11,<3.14"
 
 [[package]]
 name = "agno"
-version = "2.7.1"
+version = "2.7.2"
 requires_python = "<4,>=3.9"
 summary = "The programming language for agentic software."
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "agnoctl>=0.1.1",
     "docstring-parser",
@@ -30,17 +30,35 @@ dependencies = [
     "typing-extensions",
 ]
 files = [
-    {file = "agno-2.7.1-py3-none-any.whl", hash = "sha256:4fbb23067e13a1efff41d33462a226445aeba7e606276260c07b4593174b99f0"},
-    {file = "agno-2.7.1.tar.gz", hash = "sha256:b73f321dcd44a25bf72e93624c6ef742a25fdc421faf3c7fe85eadfb20755ec5"},
+    {file = "agno-2.7.2-py3-none-any.whl", hash = "sha256:c9281e25c054de56a5482ef4026ac42d7ea8e937c2bf02f48d317167b2945969"},
+    {file = "agno-2.7.2.tar.gz", hash = "sha256:9dab9cdacaec8083a3dea392d58703011b8eaa0ef086a40919d5a3dcc4b1a793"},
+]
+
+[[package]]
+name = "agno"
+version = "2.7.2"
+extras = ["sqlite"]
+requires_python = "<4,>=3.9"
+summary = "The programming language for agentic software."
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
+dependencies = [
+    "agno==2.7.2",
+    "aiosqlite",
+    "sqlalchemy",
+]
+files = [
+    {file = "agno-2.7.2-py3-none-any.whl", hash = "sha256:c9281e25c054de56a5482ef4026ac42d7ea8e937c2bf02f48d317167b2945969"},
+    {file = "agno-2.7.2.tar.gz", hash = "sha256:9dab9cdacaec8083a3dea392d58703011b8eaa0ef086a40919d5a3dcc4b1a793"},
 ]
 
 [[package]]
 name = "agnoctl"
-version = "0.1.1"
+version = "0.1.2"
 requires_python = "<4,>=3.9"
 summary = "The Agno CLI: connect and operate AgentOS from the terminal, built for humans and coding agents"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "httpx",
     "rich",
@@ -48,29 +66,29 @@ dependencies = [
     "typer",
 ]
 files = [
-    {file = "agnoctl-0.1.1-py3-none-any.whl", hash = "sha256:5bc17b2dfcfe78a26dbe06b3cf7f904567b400035ca03b554d23d2d815d7142f"},
-    {file = "agnoctl-0.1.1.tar.gz", hash = "sha256:77d9f1a1474d3895c952e67dcea88d7e3dd6c8d783e524b5456e0f2c833c2628"},
+    {file = "agnoctl-0.1.2-py3-none-any.whl", hash = "sha256:bcb41c80a871b8c358a6024ed9288e4f2d669b9a70b7448b0b28c1439875be39"},
+    {file = "agnoctl-0.1.2.tar.gz", hash = "sha256:0ca7c56a27b1b4fe20632ac4318ebf5af20f2281bcc4474de335001d8fcaf8a5"},
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.6.2"
+version = "2.7.1"
 requires_python = ">=3.10"
 summary = "Happy Eyeballs for asyncio"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
-    {file = "aiohappyeyeballs-2.6.2-py3-none-any.whl", hash = "sha256:4708045e2d7a6c6bdf8aafa8ed39649eaf926a4543b54560659129e3365953c4"},
-    {file = "aiohappyeyeballs-2.6.2.tar.gz", hash = "sha256:e202810ee718bd01fc6ef49e8ea53d023d5cb6b581076d7925aa499fa55dbe64"},
+    {file = "aiohappyeyeballs-2.7.1-py3-none-any.whl", hash = "sha256:9243213661e29250eb41368e5daa826fc017156c3b8a11440826b2e3ed376472"},
+    {file = "aiohappyeyeballs-2.7.1.tar.gz", hash = "sha256:065665c041c42a5938ed220bdcd7230f22527fbec085e1853d2402c8a3615d9d"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.13.5"
-requires_python = ">=3.9"
+version = "3.14.1"
+requires_python = ">=3.10"
 summary = "Async http client/server framework (asyncio)"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "aiohappyeyeballs>=2.5.0",
     "aiosignal>=1.4.0",
@@ -79,95 +97,70 @@ dependencies = [
     "frozenlist>=1.1.1",
     "multidict<7.0,>=4.5",
     "propcache>=0.2.0",
+    "typing-extensions>=4.4; python_version < \"3.13\"",
     "yarl<2.0,>=1.17.0",
 ]
 files = [
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 [[package]]
@@ -176,7 +169,7 @@ version = "1.4.0"
 requires_python = ">=3.9"
 summary = "aiosignal: a list of registered asynchronous callbacks"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "frozenlist>=1.1.0",
     "typing-extensions>=4.2; python_version < \"3.13\"",
@@ -192,37 +185,19 @@ version = "0.22.1"
 requires_python = ">=3.9"
 summary = "asyncio bridge to the standard sqlite3 module"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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 ]
 
-[[package]]
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-marker = "python_version >= \"3.11\""
-dependencies = [
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-    "SQLAlchemy>=1.4.23",
-    "tomli; python_version < \"3.11\"",
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-
 [[package]]
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 version = "0.0.4"
 requires_python = ">=3.8"
 summary = "Document parameters, class attributes, return types, and variables inline, with Annotated."
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
     {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"},
     {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"},
@@ -233,8 +208,8 @@ name = "annotated-types"
 version = "0.7.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.9\"",
 ]
@@ -245,19 +220,19 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.13.0"
+version = "4.14.1"
 requires_python = ">=3.10"
 summary = "High-level concurrency and networking framework on top of asyncio or Trio"
 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
     "typing-extensions>=4.5; python_version < \"3.13\"",
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 files = [
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-    {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"},
+    {file = "anyio-4.14.1-py3-none-any.whl", hash = "sha256:4e5533c5b8ff0a24f5d7a176cbe6877129cd183893f66b537f8f227d10527d72"},
+    {file = "anyio-4.14.1.tar.gz", hash = "sha256:8d648a3544c1a700e3ff78615cd679e4c5c3f149904287e73687b2596963629e"},
 ]
 
 [[package]]
@@ -266,7 +241,7 @@ version = "1.8.44"
 requires_python = ">=3.9"
 summary = "A High-performance, Generality, Humane Command Line Arguments Parser Library."
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "nepattern<1.0.0,>=0.7.7",
     "tarina<0.8.0,>=0.7.0",
@@ -283,7 +258,7 @@ version = "0.7.12"
 requires_python = ">=3.9"
 summary = "Builtin Tools for Alconna"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "arclet-alconna>=1.8.43",
     "nepattern<1.0.0,>=0.7.3",
@@ -295,11 +270,11 @@ files = [
 
 [[package]]
 name = "arclet-entari"
-version = "0.18.1"
+version = "0.18.3"
 requires_python = ">=3.10"
 summary = "Simple IM Framework based on satori-python"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "arclet-alconna-tools>=0.7.3",
     "arclet-alconna<2.0.0,>=1.8.44",
@@ -310,28 +285,28 @@ dependencies = [
     "simpleeval>=1.0.3",
 ]
 files = [
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+    {file = "arclet_entari-0.18.3-py3-none-any.whl", hash = "sha256:506fa493cc4d1a2a396929d08b304b0ad16f29b28a91560ef01c5d301c5f06da"},
+    {file = "arclet_entari-0.18.3.tar.gz", hash = "sha256:717c9d005e58b6f6c47e1e8469d2e432a0ea5817d1d33c6bd263094b943b9ee4"},
 ]
 
 [[package]]
 name = "arclet-entari"
-version = "0.18.1"
+version = "0.18.3"
 extras = ["cron", "dotenv", "reload", "yaml"]
 requires_python = ">=3.10"
 summary = "Simple IM Framework based on satori-python"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
-    "arclet-entari==0.18.1",
+    "arclet-entari==0.18.3",
     "croniter>=5.0.1",
     "python-dotenv>=1.0.1",
     "ruamel-yaml>=0.18.10",
     "watchfiles>=1.0.3",
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+    {file = "arclet_entari-0.18.3-py3-none-any.whl", hash = "sha256:506fa493cc4d1a2a396929d08b304b0ad16f29b28a91560ef01c5d301c5f06da"},
+    {file = "arclet_entari-0.18.3.tar.gz", hash = "sha256:717c9d005e58b6f6c47e1e8469d2e432a0ea5817d1d33c6bd263094b943b9ee4"},
 ]
 
 [[package]]
@@ -340,7 +315,7 @@ version = "0.21.3"
 requires_python = "<4.0,>=3.10"
 summary = "A high-performance, simple-structured event system, relies on asyncio"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "tarina<0.8.0,>=0.7.0",
     "typing-extensions>=4.12.0",
@@ -356,7 +331,7 @@ version = "26.1.0"
 requires_python = ">=3.9"
 summary = "Classes Without Boilerplate"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -367,7 +342,7 @@ name = "brotli"
 version = "1.2.0"
 summary = "Python bindings for the Brotli compression library"
 groups = ["dev"]
-marker = "platform_python_implementation == \"CPython\" and python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\" and platform_python_implementation == \"CPython\""
 files = [
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@@ -399,16 +374,6 @@ files = [
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-    {file = "brotli-1.2.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:6c12dad5cd04530323e723787ff762bac749a7b256a5bece32b2243dd5c27b21"},
-    {file = "brotli-1.2.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3219bd9e69868e57183316ee19c84e03e8f8b5a1d1f2667e1aa8c2f91cb061ac"},
-    {file = "brotli-1.2.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:963a08f3bebd8b75ac57661045402da15991468a621f014be54e50f53a58d19e"},
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-    {file = "brotli-1.2.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:fc1530af5c3c275b8524f2e24841cbe2599d74462455e9bae5109e9ff42e9361"},
-    {file = "brotli-1.2.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d2d085ded05278d1c7f65560aae97b3160aeb2ea2c0b3e26204856beccb60888"},
-    {file = "brotli-1.2.0-cp314-cp314-win32.whl", hash = "sha256:832c115a020e463c2f67664560449a7bea26b0c1fdd690352addad6d0a08714d"},
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 ]
 
@@ -418,17 +383,12 @@ version = "1.2.0.1"
 requires_python = ">=3.8"
 summary = "Python CFFI bindings to the Brotli library"
 groups = ["dev"]
-marker = "platform_python_implementation != \"CPython\" and python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\" and platform_python_implementation != \"CPython\""
 dependencies = [
     "cffi>=1.0.0; python_version < \"3.13\"",
     "cffi>=1.17.0; python_version >= \"3.13\"",
 ]
 files = [
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@@ -443,195 +403,133 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2026.5.20"
+version = "2026.6.17"
 requires_python = ">=3.7"
 summary = "Python package for providing Mozilla's CA Bundle."
 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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+    {file = "certifi-2026.6.17-py3-none-any.whl", hash = "sha256:2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db"},
+    {file = "certifi-2026.6.17.tar.gz", hash = "sha256:024c88eeec92ca068db80f02b8b07c9cef7b9fe261d1d535abfd5abd6f6af432"},
 ]
 
 [[package]]
 name = "cffi"
-version = "2.0.0"
-requires_python = ">=3.9"
+version = "2.1.0"
+requires_python = ">=3.10"
 summary = "Foreign Function Interface for Python calling C code."
 groups = ["dev"]
-marker = "platform_python_implementation != \"CPython\" and python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\" and platform_python_implementation != \"CPython\""
 dependencies = [
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 files = [
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.8"
-requires_python = ">=3.7"
+version = "8.4.2"
+requires_python = ">=3.10"
 summary = "Composable command line interface toolkit"
 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
-    "importlib-metadata; python_version < \"3.8\"",
 ]
 files = [
-    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
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+    {file = "click-8.4.2-py3-none-any.whl", hash = "sha256:e6f9f66136c816745b9d65817da91d61d957fb16e02e4dcd0552553c5a197b76"},
+    {file = "click-8.4.2.tar.gz", hash = "sha256:9a6cea6e60b17ebe0a44c5cc636d94f09bd66142c1cd7d8b4cd731c4917a15f6"},
 ]
 
 [[package]]
@@ -640,7 +538,7 @@ version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
 groups = ["default", "browser", "dev"]
-marker = "platform_system == \"Windows\" and python_version >= \"3.11\" or sys_platform == \"win32\" and python_version >= \"3.11\""
+marker = "platform_system == \"Windows\" and python_version >= \"3.11\" and python_version < \"3.14\" or sys_platform == \"win32\" and python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -652,7 +550,7 @@ version = "0.3.0"
 requires_python = ">=3.8"
 summary = "a universal, extensible class instantiation helper"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "importlib-metadata>=3.6",
 ]
@@ -663,17 +561,17 @@ files = [
 
 [[package]]
 name = "croniter"
-version = "6.2.2"
+version = "6.2.4"
 requires_python = ">=3.9"
 summary = "croniter provides iteration for datetime object with cron like format"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "python-dateutil",
 ]
 files = [
-    {file = "croniter-6.2.2-py3-none-any.whl", hash = "sha256:a5d17b1060974d36251ea4faf388233eca8acf0d09cbd92d35f4c4ac8f279960"},
-    {file = "croniter-6.2.2.tar.gz", hash = "sha256:ba60832a5ec8e12e51b8691c3309a113d1cf6526bdf1a48150ce8ec7a532d0ab"},
+    {file = "croniter-6.2.4-py3-none-any.whl", hash = "sha256:8ef3d544107a5c05a150a2d78f8bf5a8eb9c5c4d93405a736b824109574e3f4d"},
+    {file = "croniter-6.2.4.tar.gz", hash = "sha256:fc124f751b1b04805c2a04b061898b436b45ab2320b045e1e052ea895de65189"},
 ]
 
 [[package]]
@@ -682,7 +580,7 @@ version = "9.14.4"
 requires_python = ">=3.10"
 summary = "Dux Distributed Global Search. A metasearch library that aggregates results from diverse web search services."
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "click>=8.1.8",
     "fake-useragent>=2.2.0",
@@ -701,7 +599,7 @@ version = "1.9.0"
 requires_python = ">=3.6"
 summary = "Distro - an OS platform information API"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -712,8 +610,8 @@ name = "docstring-parser"
 version = "0.18.0"
 requires_python = ">=3.8"
 summary = "Parse Python docstrings in reST, Google and Numpydoc format"
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
     {file = "docstring_parser-0.18.0-py3-none-any.whl", hash = "sha256:b3fcbed555c47d8479be0796ef7e19c2670d428d72e96da63f3a40122860374b"},
     {file = "docstring_parser-0.18.0.tar.gz", hash = "sha256:292510982205c12b1248696f44959db3cdd1740237a968ea1e2e7a900eeb2015"},
@@ -725,7 +623,7 @@ version = "0.6.1"
 requires_python = ">=3.10"
 summary = "Browser API service for Entari using Playwright"
 groups = ["browser"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "arclet-entari<0.19.0,>=0.18.0rc4",
     "graiax-playwright>=0.5.0",
@@ -737,34 +635,13 @@ files = [
     {file = "entari_plugin_browser-0.6.1.tar.gz", hash = "sha256:c8b7ce82b496975d255ffac3716d2a6731cb3575b564b93b08b0ff20a4bfd344"},
 ]
 
-[[package]]
-name = "entari-plugin-database"
-version = "0.3.3"
-requires_python = ">=3.10"
-summary = "Entari plugin for SQLAlchemy ORM"
-groups = ["default"]
-marker = "python_version >= \"3.11\""
-dependencies = [
-    "aiosqlite>=0.21.0",
-    "alembic>=1.16.5",
-    "arclet-entari<0.19.0,>=0.18.0rc4",
-    "arclet-letoderea>=0.19.5",
-    "graia-amnesia>=0.11.4",
-    "sqlalchemy>=2.0.42",
-    "tarina<0.8.0,>=0.7.1",
-]
-files = [
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-    {file = "entari_plugin_database-0.3.3.tar.gz", hash = "sha256:6391f225c859ccd5ad6e1e19b6cf4c5697f8f1cf88b89e393d450e6c38acc193"},
-]
-
 [[package]]
 name = "entari-plugin-server"
 version = "0.7.3"
 requires_python = ">=3.10"
 summary = "Entari plugin for running Satori Server"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "arclet-entari<0.19.0,>=0.18.0rc4",
     "satori-python-server<1.4.0,>=1.3.0",
@@ -780,7 +657,7 @@ version = "2.2.0"
 requires_python = ">=3.9"
 summary = "Up-to-date simple useragent faker with real world database"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "importlib-resources>=6; python_version < \"3.10\"",
 ]
@@ -795,7 +672,7 @@ version = "0.14.0"
 requires_python = ">=3.8"
 summary = "Python bindings to Rust's UUID library."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
     {file = "fastuuid-0.14.0-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:73946cb950c8caf65127d4e9a325e2b6be0442a224fd51ba3b6ac44e1912ce34"},
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@@ -830,30 +707,19 @@ files = [
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     {file = "fastuuid-0.14.0-cp313-cp313-win32.whl", hash = "sha256:a0809f8cc5731c066c909047f9a314d5f536c871a7a22e815cc4967c110ac9ad"},
     {file = "fastuuid-0.14.0-cp313-cp313-win_amd64.whl", hash = "sha256:0df14e92e7ad3276327631c9e7cec09e32572ce82089c55cb1bb8df71cf394ed"},
-    {file = "fastuuid-0.14.0-cp314-cp314-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:b852a870a61cfc26c884af205d502881a2e59cc07076b60ab4a951cc0c94d1ad"},
-    {file = "fastuuid-0.14.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:c7502d6f54cd08024c3ea9b3514e2d6f190feb2f46e6dbcd3747882264bb5f7b"},
-    {file = "fastuuid-0.14.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1ca61b592120cf314cfd66e662a5b54a578c5a15b26305e1b8b618a6f22df714"},
-    {file = "fastuuid-0.14.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa75b6657ec129d0abded3bec745e6f7ab642e6dba3a5272a68247e85f5f316f"},
-    {file = "fastuuid-0.14.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8a0dfea3972200f72d4c7df02c8ac70bad1bb4c58d7e0ec1e6f341679073a7f"},
-    {file = "fastuuid-0.14.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1bf539a7a95f35b419f9ad105d5a8a35036df35fdafae48fb2fd2e5f318f0d75"},
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-    {file = "fastuuid-0.14.0-cp314-cp314-win_amd64.whl", hash = "sha256:df61342889d0f5e7a32f7284e55ef95103f2110fee433c2ae7c2c0956d76ac8a"},
     {file = "fastuuid-0.14.0.tar.gz", hash = "sha256:178947fc2f995b38497a74172adee64fdeb8b7ec18f2a5934d037641ba265d26"},
 ]
 
 [[package]]
 name = "filelock"
-version = "3.29.0"
+version = "3.29.7"
 requires_python = ">=3.10"
 summary = "A platform independent file lock."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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-    {file = "filelock-3.29.0.tar.gz", hash = "sha256:69974355e960702e789734cb4871f884ea6fe50bd8404051a3530bc07809cf90"},
+    {file = "filelock-3.29.7-py3-none-any.whl", hash = "sha256:987db6f789a3a2a59f55081801b2b3697cb97e2a736b5f1a9e99b559285fbc51"},
+    {file = "filelock-3.29.7.tar.gz", hash = "sha256:5b481979797ae69e72f0b389d89a80bdd585c260c5b3f1fb9c0a5ba9bb3f195d"},
 ]
 
 [[package]]
@@ -862,7 +728,7 @@ version = "1.8.0"
 requires_python = ">=3.9"
 summary = "A list-like structure which implements collections.abc.MutableSequence"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -928,52 +794,20 @@ files = [
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-    {file = "frozenlist-1.8.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:cba69cb73723c3f329622e34bdbf5ce1f80c21c290ff04256cff1cd3c2036ed2"},
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-marker = "python_version >= \"3.11\""
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 ]
 
 [[package]]
 name = "hpack"
-version = "4.1.0"
-requires_python = ">=3.9"
+version = "4.2.0"
+requires_python = ">=3.10"
 summary = "Pure-Python HPACK header encoding"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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+    {file = "hpack-4.2.0-py3-none-any.whl", hash = "sha256:858ac0b02280fa582b5080d68db0899c62a80375e0e5413a74970c5e518b6986"},
+    {file = "hpack-4.2.0.tar.gz", hash = "sha256:0895cfa3b5531fc65fe439c05eb65144f123bf7a394fcaa56aa423548d8e45c0"},
 ]
 
 [[package]]
@@ -1208,7 +995,7 @@ version = "1.0.9"
 requires_python = ">=3.8"
 summary = "A minimal low-level HTTP client."
 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "certifi",
     "h11>=0.16",
@@ -1224,7 +1011,7 @@ version = "0.28.1"
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "anyio",
     "certifi",
@@ -1243,7 +1030,7 @@ extras = ["brotli", "http2", "socks"]
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "brotli; platform_python_implementation == \"CPython\"",
     "brotlicffi; platform_python_implementation != \"CPython\"",
@@ -1262,8 +1049,8 @@ version = "0.28.1"
 extras = ["http2"]
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "h2<5,>=3",
     "httpx==0.28.1",
@@ -1275,25 +1062,25 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "1.16.1"
+version = "1.23.0"
 requires_python = ">=3.10.0"
 summary = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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+    "hf-xet<2.0.0,>=1.5.1; platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"",
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     "packaging>=20.9",
     "pyyaml>=5.1",
     "tqdm>=4.42.1",
-    "typer>=0.20.0",
     "typing-extensions>=4.1.0",
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 files = [
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 ]
 
 [[package]]
@@ -1301,8 +1088,8 @@ name = "hyperframe"
 version = "6.1.0"
 requires_python = ">=3.9"
 summary = "Pure-Python HTTP/2 framing"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -1310,30 +1097,29 @@ files = [
 
 [[package]]
 name = "idna"
-version = "3.17"
+version = "3.18"
 requires_python = ">=3.9"
 summary = "Internationalized Domain Names in Applications (IDNA)"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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-    {file = "idna-3.17.tar.gz", hash = "sha256:5eb0cb53bc467c12eadcf6de83163ad8527cec9416f44b9b61b19caedad2b87f"},
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 [[package]]
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-version = "8.5.0"
-requires_python = ">=3.8"
+version = "8.9.0"
+requires_python = ">=3.10"
 summary = "Read metadata from Python packages"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 files = [
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 [[package]]
@@ -1342,7 +1128,7 @@ version = "3.1.6"
 requires_python = ">=3.7"
 summary = "A very fast and expressive template engine."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "MarkupSafe>=2.0",
 ]
@@ -1353,107 +1139,73 @@ files = [
 
 [[package]]
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-version = "0.15.0"
+version = "0.16.0"
 requires_python = ">=3.9"
 summary = "Fast iterable JSON parser."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
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-requires_python = ">=3.8"
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+requires_python = ">=3.10"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default"]
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     "referencing>=0.28.4",
-    "rpds-py>=0.7.1",
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 [[package]]
@@ -1462,7 +1214,7 @@ version = "2025.9.1"
 requires_python = ">=3.9"
 summary = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 ]
@@ -1477,7 +1229,7 @@ version = "0.8.2"
 requires_python = ">=3.8"
 summary = "Component lifetime manager for runtime."
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -1494,7 +1246,7 @@ version = "2.1.0"
 requires_python = ">=3.10"
 summary = "Links recognition library with FULL unicode support."
 groups = ["browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "uc-micro-py",
 ]
@@ -1505,28 +1257,28 @@ files = [
 
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-version = "1.83.7"
-requires_python = "<4.0,>=3.9"
+version = "1.91.2"
+requires_python = "<3.14,>=3.10"
 summary = "Library to easily interface with LLM API providers"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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-    "pydantic==2.12.5",
-    "python-dotenv==1.0.1",
-    "tiktoken==0.12.0",
-    "tokenizers==0.22.2",
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+    "fastuuid<1.0,>=0.14.0",
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 requires_python = "<4.0,>=3.5"
 summary = "Python logging made (stupidly) simple"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 requires_python = ">=3.8"
 summary = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
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-requires_python = ">=3.8"
-summary = "A super-fast templating language that borrows the best ideas from the existing templating languages."
-groups = ["default"]
-marker = "python_version >= \"3.11\""
-dependencies = [
-    "MarkupSafe>=0.9.2",
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 version = "3.0.0"
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "mdurl~=0.1",
 ]
@@ -1688,7 +1389,7 @@ extras = ["linkify", "plugins"]
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
 groups = ["browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "linkify-it-py<3,>=1",
     "markdown-it-py==3.0.0",
@@ -1705,7 +1406,7 @@ version = "3.0.3"
 requires_python = ">=3.9"
 summary = "Safely add untrusted strings to HTML/XML markup."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -1782,7 +1461,7 @@ version = "0.1.1"
 requires_python = ">=3.8"
 summary = "Emoji plugin for markdown-it-py."
 groups = ["browser"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "markdown-it-py<4.0.0,>=1.0.0",
 ]
@@ -1797,7 +1476,7 @@ version = "0.6.1"
 requires_python = ">=3.10"
 summary = "Collection of plugins for markdown-it-py"
 groups = ["browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "markdown-it-py<5.0.0,>=2.0.0",
 ]
@@ -1812,7 +1491,7 @@ version = "0.1.2"
 requires_python = ">=3.7"
 summary = "Markdown URL utilities"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -1824,7 +1503,7 @@ version = "6.7.1"
 requires_python = ">=3.9"
 summary = "multidict implementation"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "typing-extensions>=4.1.0; python_version < \"3.11\"",
 ]
@@ -1901,42 +1580,6 @@ files = [
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-marker = "python_version >= \"3.11\""
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 summary = "HTTP client that can impersonate web browsers"
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-marker = "python_version >= \"3.11\""
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 summary = "Accelerated property cache"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
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 requires_python = ">=3.10"
 summary = "Settings management using Pydantic"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 summary = "A rough port of Node.js's EventEmitter to Python with a few tricks of its own"
 groups = ["browser"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -2368,7 +1936,7 @@ version = "2.20.0"
 requires_python = ">=3.9"
 summary = "Pygments is a syntax highlighting package written in Python."
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
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 summary = "Extensions to the standard Python datetime module"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -2391,26 +1959,26 @@ files = [
 
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-version = "1.0.1"
-requires_python = ">=3.8"
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+requires_python = ">=3.10"
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 groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
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 summary = "A streaming multipart parser for Python"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
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 version = "6.0.3"
 requires_python = ">=3.8"
 summary = "YAML parser and emitter for Python"
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
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@@ -2477,7 +2027,7 @@ version = "0.37.0"
 requires_python = ">=3.10"
 summary = "JSON Referencing + Python"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -2490,109 +2040,77 @@ files = [
 
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-version = "2026.5.9"
+version = "2026.7.10"
 requires_python = ">=3.10"
 summary = "Alternative regular expression module, to replace re."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
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-marker = "python_version >= \"3.11\""
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 summary = "Satori Protocol SDK for python, adapter for Milky"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "satori-python-server<1.4.0,>=1.3.7",
 ]
@@ -2846,7 +2292,7 @@ version = "0.5.0"
 requires_python = "<4.0,>=3.10"
 summary = "Satori Protocol SDK for python, adapter for OneBot 11"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "satori-python-server<1.4.0,>=1.3.7",
 ]
@@ -2857,22 +2303,22 @@ files = [
 
 [[package]]
 name = "satori-python-client"
-version = "1.3.4"
+version = "1.3.7"
 requires_python = "<4.0,>=3.10"
 summary = "Satori Protocol SDK for python, specify client part"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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     "loguru>=0.7.2",
-    "satori-python-core<1.4.0,>=1.3.0",
+    "satori-python-core<1.4.0,>=1.3.6",
     "yarl>=1.9.4",
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 files = [
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 [[package]]
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 requires_python = "<4.0,>=3.10"
 summary = "Satori Protocol SDK for python, specify common part"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 ]
@@ -2896,7 +2342,7 @@ version = "1.3.7"
 requires_python = "<4.0,>=3.10"
 summary = "Satori Protocol SDK for python, specify server part"
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -2918,8 +2364,8 @@ name = "shellingham"
 version = "1.5.4"
 requires_python = ">=3.7"
 summary = "Tool to Detect Surrounding Shell"
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -2931,7 +2377,7 @@ version = "1.0.7"
 requires_python = ">=3.9"
 summary = "A simple, safe single expression evaluator library."
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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 version = "1.17.0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 summary = "Python 2 and 3 compatibility utilities"
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -2955,7 +2401,7 @@ version = "1.3.1"
 requires_python = ">=3.7"
 summary = "Sniff out which async library your code is running under"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -2967,7 +2413,7 @@ version = "1.0.0"
 requires_python = ">=3.6"
 summary = "Sans-I/O implementation of SOCKS4, SOCKS4A, and SOCKS5."
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -2975,70 +2421,56 @@ files = [
 
 [[package]]
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-version = "2.0.50"
+version = "2.0.51"
 requires_python = ">=3.7"
 summary = "Database Abstraction Library"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 name = "tqdm"
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+requires_python = ">=3.8"
 summary = "Fast, Extensible Progress Meter"
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 ]
 
 [[package]]
 name = "typer"
-version = "0.26.4"
+version = "0.26.8"
 requires_python = ">=3.10"
 summary = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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@@ -3266,20 +2668,20 @@ dependencies = [
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 ]
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 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.15.0"
+version = "4.16.0"
 requires_python = ">=3.9"
 summary = "Backported and Experimental Type Hints for Python 3.9+"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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 [[package]]
@@ -3287,8 +2689,8 @@ name = "typing-inspection"
 version = "0.4.2"
 requires_python = ">=3.9"
 summary = "Runtime typing introspection tools"
-groups = ["default", "dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "typing-extensions>=4.12.0",
 ]
@@ -3303,7 +2705,7 @@ version = "2.0.0"
 requires_python = ">=3.10"
 summary = "Micro subset of unicode data files for linkify-it-py projects."
 groups = ["browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -3315,7 +2717,7 @@ version = "2.7.0"
 requires_python = ">=3.10"
 summary = "HTTP library with thread-safe connection pooling, file post, and more."
 groups = ["default"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
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@@ -3323,19 +2725,19 @@ files = [
 
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+version = "0.51.0"
 requires_python = ">=3.10"
 summary = "The lightning-fast ASGI server."
 groups = ["dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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 [[package]]
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 summary = "Fast implementation of asyncio event loop on top of libuv"
 groups = ["dev"]
-marker = "sys_platform != \"win32\" and python_version >= \"3.11\""
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@@ -3364,18 +2766,6 @@ files = [
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 ]
 
@@ -3384,8 +2774,8 @@ name = "watchfiles"
 version = "1.2.0"
 requires_python = ">=3.10"
 summary = "Simple, modern and high performance file watching and code reload in python."
-groups = ["dev"]
-marker = "python_version >= \"3.11\""
+groups = ["default", "dev"]
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
     "anyio>=3.0.0",
 ]
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 [[package]]
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 requires_python = ">=3.5"
 summary = "A small Python utility to set file creation time on Windows"
 groups = ["default", "browser", "dev"]
-marker = "sys_platform == \"win32\" and python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\" and sys_platform == \"win32\""
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 requires_python = ">=3.8.0"
 summary = "Windows version of uvloop"
 groups = ["dev"]
-marker = "sys_platform == \"win32\" and python_version >= \"3.11\""
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 requires_python = ">=3.10"
 summary = "Yet another URL library"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 dependencies = [
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-    {file = "yarl-1.24.2-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:b6067060d9dc594899ba83e6db6c48c68d1e494a6dab158156ed86977ca7bcb1"},
-    {file = "yarl-1.24.2-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:0063adad533e57171b79db3943b229d40dfafeeee579767f96541f106bac5f1b"},
-    {file = "yarl-1.24.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ee8e3fb34513e8dc082b586ef4910c98335d43a6fab688cd44d4851bacfce3e8"},
-    {file = "yarl-1.24.2-cp314-cp314-win_amd64.whl", hash = "sha256:afb00d7fd8e0f285ca29a44cc50df2d622ff2f7a6d933fa641577b5f9d5f3db0"},
-    {file = "yarl-1.24.2-cp314-cp314-win_arm64.whl", hash = "sha256:68cf6eacd6028ef1142bc4b48376b81566385ca6f9e7dde3b0fa91be08ffcb57"},
-    {file = "yarl-1.24.2-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:221ce1dd921ac4f603957f17d7c18c5cc0797fbb52f156941f92e04605d1d67b"},
-    {file = "yarl-1.24.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5f3224db28173a00d7afacdee07045cc4673dfab2b15492c7ae10deddbece761"},
-    {file = "yarl-1.24.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c557165320d6244ebe3a02431b2a201a20080e02f41f0cfa0ccc47a183765da8"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:904065e6e85b1fa54d0d87438bd58c14c0bad97aad654ad1077fd9d87e8478ed"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:8cec2a38d70edc10e0e856ceda886af5327a017ccbde8e1de1bd44d300357543"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:e7484b9361ed222ee1ca5b4337aa4cbdcc4618ce5aff57d9ef1582fd95893fc0"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:84f9670b89f34db07f81e53aee83e0b938a3412329d51c8f922488be7fcc4024"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:abb2759733d63a28b4956500a5dd57140f26486c92b2caedfb964ab7d9b79dbf"},
-    {file = "yarl-1.24.2-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:081c2bf54efe03774d0311172bc04fedf9ca01e644d4cd8c805688e527209bdc"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:86746bef442aa479107fe28132e1277237f9c24c2f00b0b0cf22b3ee0904f2bb"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:2d07d21d0bc4b17558e8de0b02fbfdf1e347d3bb3699edd00bb92e7c57925420"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:4fb1ac3fc5fecd8ae7453ea237e4d22b49befa70266dfe1629924245c21a0c7f"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:4da31a5512ed1729ca8d8aacde3f7faeb8843cde3165d6bcf7f88f74f17bb8aa"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:533ded4dceb5f1f3da7906244f4e82cf46cfd40d84c69a1faf5ac506aa65ecbe"},
-    {file = "yarl-1.24.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:7b3a85525f6e7eeabcfdd372862b21ee1915db1b498a04e8bf0e389b607ff0bd"},
-    {file = "yarl-1.24.2-cp314-cp314t-win_amd64.whl", hash = "sha256:a7624b1ca46ca5d7b864ef0d2f8efe3091454085ee1855b4e992314529972215"},
-    {file = "yarl-1.24.2-cp314-cp314t-win_arm64.whl", hash = "sha256:e434a45ce2e7a947f951fc5a8944c8cc080b7e59f9c50ae80fd39107cf88126d"},
     {file = "yarl-1.24.2-py3-none-any.whl", hash = "sha256:2783d9226db8797636cd6896e4de81feed252d1db72265686c9558d97a4d94b9"},
     {file = "yarl-1.24.2.tar.gz", hash = "sha256:9ac374123c6fd7abf64d1fec93962b0bd4ee2c19751755a762a72dd96c0378f8"},
 ]
@@ -3689,7 +3011,7 @@ version = "4.1.0"
 requires_python = ">=3.10"
 summary = "Backport of pathlib-compatible object wrapper for zip files"
 groups = ["default", "browser", "dev"]
-marker = "python_version >= \"3.11\""
+marker = "python_version >= \"3.11\" and python_version < \"3.14\""
 files = [
     {file = "zipp-4.1.0-py3-none-any.whl", hash = "sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f"},
     {file = "zipp-4.1.0.tar.gz", hash = "sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602"},
diff --git a/pyproject.toml b/pyproject.toml
index 8f411e8..824cead 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,12 +7,12 @@ authors = [
     {"name" = "KomoriDev", "email" = "mute231010@gmail.com"}
 ]
 dependencies = [
-    "arclet.entari>=0.18.0",
+    "arclet.entari[yaml,cron,reload,dotenv]>=0.18.3",
+    "agno[sqlite]>=2.7.2",
     "docstring-parser>=0.17.0",
-    "litellm>=1.83.7",
-    "entari-plugin-database>=0.3.2",
+    "litellm>=1.84.0",
 ]
-requires-python = ">=3.10"
+requires-python = ">=3.10,<3.14"
 readme = "README.md"
 license = {"text" = "MIT"}
 
@@ -21,17 +21,16 @@ browser = [
     "entari-plugin-browser>=0.5.4",
 ]
 google = [
-    "litellm[google]>=1.83.7",
+    "litellm[google]>=1.84.0",
 ]
 
 [dependency-groups]
 dev = [
-    "arclet.entari[yaml,cron,reload,dotenv]>=0.18.0",
+    "arclet.entari[yaml,cron,reload,dotenv]>=0.18.3",
     "entari-plugin-server>=0.7.1",
     "satori-python-adapter-onebot11>=0.4.2",
     "ruff>=0.14.10",
     "satori-python-adapter-console>=0.5.1",
-    "agno>=2.5.8",
     "ddgs>=9.11.2",
     "satori-python-adapter-milky>=0.3.1",
 ]
diff --git a/src/entari_plugin_llm/__init__.py b/src/entari_plugin_llm/__init__.py
index cbfd6fa..8b245e1 100644
--- a/src/entari_plugin_llm/__init__.py
+++ b/src/entari_plugin_llm/__init__.py
@@ -30,10 +30,12 @@
 from .handlers import chat as chat
 from .handlers import check as check
 from .handlers import command as command
+from .response import GenericResponse as GenericResponse
 from .service import llm as llm
 
 __all__ = [
     "llm",
     "LLMToolEvent",
     "LLMCollectVariableEvent",
+    "GenericResponse",
 ]
diff --git a/src/entari_plugin_llm/_jsondata.py b/src/entari_plugin_llm/_jsondata.py
index 3fe50bc..3051590 100644
--- a/src/entari_plugin_llm/_jsondata.py
+++ b/src/entari_plugin_llm/_jsondata.py
@@ -1,20 +1,53 @@
 import json
-from dataclasses import asdict, dataclass
+from dataclasses import asdict, dataclass, field
 from pathlib import Path
 from typing import Any
 
 from arclet.entari import local_data
 
 
+@dataclass(slots=True)
+class SessionPointer:
+    session_id: str
+    created_at: int
+
+
 @dataclass(slots=True)
 class LLMState:
     default_model: str | None = None
+    current_sessions: dict[str, SessionPointer] = field(default_factory=dict)
+    session_models: dict[str, str] = field(default_factory=dict)
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]) -> "LLMState":
         value = data.get("default_model")
         default_model = value if isinstance(value, str) and value else None
-        return cls(default_model=default_model)
+
+        current_sessions: dict[str, SessionPointer] = {}
+        raw_sessions = data.get("current_sessions")
+        if isinstance(raw_sessions, dict):
+            for user_id, raw_pointer in raw_sessions.items():
+                if not isinstance(user_id, str) or not isinstance(raw_pointer, dict):
+                    continue
+                session_id = raw_pointer.get("session_id")
+                created_at = raw_pointer.get("created_at")
+                if isinstance(session_id, str) and isinstance(created_at, int):
+                    current_sessions[user_id] = SessionPointer(session_id, created_at)
+
+        session_models: dict[str, str] = {}
+        raw_models = data.get("session_models")
+        if isinstance(raw_models, dict):
+            session_models = {
+                session_id: model
+                for session_id, model in raw_models.items()
+                if isinstance(session_id, str) and isinstance(model, str) and model
+            }
+
+        return cls(
+            default_model=default_model,
+            current_sessions=current_sessions,
+            session_models=session_models,
+        )
 
     def to_dict(self) -> dict[str, Any]:
         return asdict(self)
@@ -24,36 +57,37 @@ def _state_path() -> Path:
     return local_data.get_data_file("entari_plugin_llm", "state.json")
 
 
-def _read_state(channel: str) -> LLMState:
+def _load_data() -> dict[str, Any]:
     path = _state_path()
     if not path.exists():
-        return LLMState()
+        return {}
     try:
         data = json.loads(path.read_text(encoding="utf-8"))
     except (OSError, json.JSONDecodeError):
-        return LLMState()
-    if not isinstance(data, dict):
-        return LLMState()
-    res = data.get(channel)
-    if not isinstance(res, dict):
-        res = data.get("$default", {})
-    return LLMState.from_dict(res)
+        return {}
+    return data if isinstance(data, dict) else {}
+
+
+def _read_state(channel: str) -> LLMState:
+    data = _load_data()
+    result = data.get(channel)
+    if not isinstance(result, dict):
+        result = data.get("$default")
+    if not isinstance(result, dict) and any(
+        key in data for key in ("default_model", "current_sessions", "session_models")
+    ):
+        result = data
+    return LLMState.from_dict(result if isinstance(result, dict) else {})
 
 
-def _write_state(data: LLMState, channel: str) -> None:
+def _write_state(state: LLMState, channel: str) -> None:
     path = _state_path()
-    if not path.exists():
-        path.parent.mkdir(parents=True, exist_ok=True)
-        path.write_text(json.dumps({channel: data.to_dict()}, ensure_ascii=False, indent=2), encoding="utf-8")
-    else:
-        try:
-            existing_data = json.loads(path.read_text(encoding="utf-8"))
-        except (OSError, json.JSONDecodeError):
-            existing_data = {}
-        if not isinstance(existing_data, dict):
-            existing_data = {}
-        existing_data[channel] = data.to_dict()
-        path.write_text(json.dumps(existing_data, ensure_ascii=False, indent=2), encoding="utf-8")
+    path.parent.mkdir(parents=True, exist_ok=True)
+    data = _load_data()
+    if any(key in data for key in ("default_model", "current_sessions", "session_models")):
+        data = {"$default": LLMState.from_dict(data).to_dict()}
+    data[channel] = state.to_dict()
+    path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
 
 
 def get_default_model(channel: str = "$default") -> str | None:
@@ -64,3 +98,35 @@ def set_default_model(model_name: str | None, channel: str = "$default") -> None
     state = _read_state(channel)
     state.default_model = model_name if model_name else None
     _write_state(state, channel)
+
+
+def get_current_session(user_id: str) -> SessionPointer | None:
+    return _read_state("$default").current_sessions.get(user_id)
+
+
+def set_current_session(user_id: str, session_id: str, created_at: int) -> None:
+    state = _read_state("$default")
+    state.current_sessions[user_id] = SessionPointer(session_id, created_at)
+    _write_state(state, "$default")
+
+
+def clear_current_session(user_id: str) -> None:
+    state = _read_state("$default")
+    if state.current_sessions.pop(user_id, None) is not None:
+        _write_state(state, "$default")
+
+
+def get_session_model(session_id: str) -> str | None:
+    return _read_state("$default").session_models.get(session_id)
+
+
+def set_session_model(session_id: str, model: str) -> None:
+    state = _read_state("$default")
+    state.session_models[session_id] = model
+    _write_state(state, "$default")
+
+
+def clear_session_model(session_id: str) -> None:
+    state = _read_state("$default")
+    if state.session_models.pop(session_id, None) is not None:
+        _write_state(state, "$default")
diff --git a/src/entari_plugin_llm/_types.py b/src/entari_plugin_llm/_types.py
deleted file mode 100644
index 6570efb..0000000
--- a/src/entari_plugin_llm/_types.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from typing import Any, Literal, TypeAlias, TypedDict
-
-from typing_extensions import NotRequired
-
-JSON_VALUE: TypeAlias = str | int | float | bool | None
-JSON_TYPE: TypeAlias = dict[str, "JSON_TYPE"] | list["JSON_TYPE"] | JSON_VALUE
-
-
-class SystemMessage(TypedDict):
-    role: Literal["system"]
-    content: str
-    name: NotRequired[str | None]
-
-
-class UserMessage(TypedDict):
-    role: Literal["user"]
-    content: str | list[dict[str, Any]]
-    name: NotRequired[str | None]
-
-
-class AssistantMessage(TypedDict):
-    role: Literal["assistant"]
-    content: str | None
-    tool_calls: NotRequired[list[dict[str, Any]] | None]
-    reasoning_content: NotRequired[str | None]
-
-
-class ToolMessage(TypedDict):
-    role: Literal["tool"]
-    content: str
-    tool_call_id: str
-    name: NotRequired[str | None]
-
-
-Message: TypeAlias = SystemMessage | UserMessage | AssistantMessage | ToolMessage
diff --git a/src/entari_plugin_llm/config.py b/src/entari_plugin_llm/config.py
index 3d0e6d4..5fe8781 100644
--- a/src/entari_plugin_llm/config.py
+++ b/src/entari_plugin_llm/config.py
@@ -32,10 +32,6 @@ class Config(BasicConfModel, extra="allow"):
     """全局提示词。用作没有特定提示词的模型的后备"""
     models: list[ScopedModel] = model_field(default_factory=list)
     """配置模型及其各自设置的列表"""
-    toolcall_max_steps: int = 8
-    """单个会话中工具调用的最大步骤数"""
-    context_length: int = 50
-    """上下文长度"""
     tools: dict[str, dict[str, Any]] = model_field(default_factory=dict)
     """工具"""
 
diff --git a/src/entari_plugin_llm/event.py b/src/entari_plugin_llm/event.py
index 7389b55..1cad0e0 100644
--- a/src/entari_plugin_llm/event.py
+++ b/src/entari_plugin_llm/event.py
@@ -5,24 +5,25 @@
 from arclet.entari.const import ITEM_ACCOUNT, ITEM_SESSION
 from arclet.letoderea import Contexts, Result, define, provide
 
-from .model import LLMSession
+from .sessions import SessionInfo
 
 
 @dataclass
 class LLMCollectVariableEvent:
     session: Session
-    llm_session: LLMSession
+    llm_session: SessionInfo
     user_message: MessageChain
 
     def check_result(self, value) -> Result[dict[str, Any]] | None:
         if isinstance(value, dict):
             return Result(value)
+        return None
 
 
 collect_vars = define(LLMCollectVariableEvent, name="llm/collect_vars")
 collect_vars.providers.extend(
     [
-        provide(LLMSession, call="$llm_session"),
+        provide(SessionInfo, call="$llm_session"),
         provide(MessageChain, call="$user_message"),
     ]
 )
diff --git a/src/entari_plugin_llm/handlers/chat.py b/src/entari_plugin_llm/handlers/chat.py
index e009746..f98c010 100644
--- a/src/entari_plugin_llm/handlers/chat.py
+++ b/src/entari_plugin_llm/handlers/chat.py
@@ -60,5 +60,4 @@ async def reload_config(event: ConfigReload):
     new_conf = config_model_validate(Config, event.value)
     _conf.models = new_conf.models
     _conf.prompt = new_conf.prompt
-    _conf.context_length = new_conf.context_length
-    _conf.toolcall_max_steps = new_conf.toolcall_max_steps
+    _conf.tools = new_conf.tools
diff --git a/src/entari_plugin_llm/json_output.py b/src/entari_plugin_llm/json_output.py
deleted file mode 100644
index 389185f..0000000
--- a/src/entari_plugin_llm/json_output.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import json
-from dataclasses import is_dataclass
-from typing import Any, Generic, Literal, TypeVar, cast
-
-import litellm
-from arclet.entari.config.action import config_model_validate
-
-TOutput = TypeVar("TOutput")
-OutputType = Literal["json_object"] | type[Any] | dict[str, Any]
-
-
-class StructuredModelResponse(litellm.ModelResponse, Generic[TOutput]):
-    output: TOutput | Any | None = None
-
-    @classmethod
-    def from_model_response(
-        cls,
-        response: litellm.ModelResponse,
-        output: TOutput | Any | None,
-    ) -> "StructuredModelResponse[TOutput]":
-        payload = response.model_dump()
-        instance = cls(**payload)
-        instance.output = output
-        return instance
-
-
-def parse_output(content: str | None, output: OutputType) -> Any:
-    if content is None:
-        raise RuntimeError("model output is empty")
-
-    if content.startswith("```json"):
-        content = content[len("```json") :].rstrip("```").strip()
-    data = json.loads(content)
-
-    if output == "json_object" or isinstance(output, dict):
-        return data
-
-    elif isinstance(output, type):
-        return validate_output(data, output)
-
-    return data
-
-
-def validate_output(data: Any, schema_type: type[TOutput]) -> TOutput:
-    if not isinstance(data, dict):
-        return cast(TOutput, data)
-
-    try:
-        return cast(TOutput, config_model_validate(schema_type, data))
-    except Exception:
-        pass
-
-    if is_dataclass(schema_type):
-        return cast(TOutput, schema_type(**data))
-
-    return cast(TOutput, data)
diff --git a/src/entari_plugin_llm/manager.py b/src/entari_plugin_llm/manager.py
index c9d9166..ad6f2d3 100644
--- a/src/entari_plugin_llm/manager.py
+++ b/src/entari_plugin_llm/manager.py
@@ -1,249 +1,43 @@
-from collections.abc import Sequence
-from typing import Any, overload
-from uuid import uuid4
+from dataclasses import asdict
+from typing import Any
 
 import litellm
+from agno.models.message import Message
 from arclet.entari import Image, MessageChain, Session, Text
 from arclet.letoderea import Contexts, waterfall
-from entari_plugin_database import get_session as get_db_session
-from sqlalchemy import desc, func, select
 
-from ._types import Message, UserMessage
 from .config import get_model_config
 from .event import LLMCollectVariableEvent
-from .model import LLMSession, SessionContext
 from .service import llm
+from .sessions import SessionInfo
 
 
 class LLMSessionManager:
     @classmethod
-    async def _generate_topic(cls, user_input: str, model: str) -> str:
-        prompt = (
-            "请根据用户的这句输入，生成一个简短的话题标题。"
-            "只输出标题，不要解释，限制在12个字以内。\n"
-            f"用户输入：{user_input}"
-        )
-        try:
-            result = await llm.generate(prompt, stream=False, model=model, ignore_user_prompt=True)
-            topic = (result.choices[0]["message"]["content"] or "").strip()
-            return topic or "新对话"
-        except Exception:
-            return "新对话"
-
-    @classmethod
-    async def _get_active_session(cls, user_id: str) -> LLMSession | None:
-        async with get_db_session() as db_session:
-            stmt = (
-                select(LLMSession)
-                .where(LLMSession.user_id == user_id, LLMSession.is_active.is_(True))
-                .order_by(desc(LLMSession.created_at))
-                .limit(1)
-            )
-            return await db_session.scalar(stmt)
-
-    @overload
-    @classmethod
-    async def _create_session(cls, user_id: str, *, topic: str, model: str) -> LLMSession: ...
-
-    @overload
-    @classmethod
-    async def _create_session(cls, user_id: str, *, user_input: str, model: str) -> LLMSession: ...
-
-    @classmethod
-    async def _create_session(
-        cls,
-        user_id: str,
-        model: str,
-        user_input: str | None = None,
-        topic: str | None = None,
-    ) -> LLMSession:
-        if topic is None and user_input:
-            topic = await cls._generate_topic(user_input=user_input, model=model)
-
-        user_session = LLMSession(session_id=uuid4().hex, user_id=user_id, topic=topic, model=model, is_active=True)
-        async with get_db_session() as db_session:
-            active_stmt = select(LLMSession).where(LLMSession.user_id == user_id, LLMSession.is_active.is_(True))
-            active_sessions = (await db_session.scalars(active_stmt)).all()
-            for active in active_sessions:
-                active.is_active = False
-            db_session.add(user_session)
-            await db_session.commit()
-        return user_session
-
-    @classmethod
-    async def _load_messages(cls, session_id: str) -> list[Message]:
-        async with get_db_session() as db_session:
-            stmt = (
-                select(SessionContext).where(SessionContext.session_id == session_id).order_by(SessionContext.id.asc())
-            )
-            contexts = list((await db_session.scalars(stmt)).all())
-        return [context.message for context in contexts]
-
-    @classmethod
-    async def _persist_message(cls, session_id: str, message: Message) -> None:
-        async with get_db_session() as db_session:
-            db_session.add(
-                SessionContext(
-                    session_id=session_id,
-                    role=message["role"],
-                    content=message["content"],
-                    reasoning_content=message.get("reasoning_content"),
-                    name=message.get("name"),
-                    tool_calls=message.get("tool_calls"),
-                    tool_call_id=message.get("tool_call_id"),
-                )
-            )
-            await db_session.commit()
-
-    @classmethod
-    async def _persist_token_usage(cls, session_id: str, tokens: int) -> None:
-        if tokens <= 0:
-            return
-
-        async with get_db_session() as db_session:
-            user_session = await db_session.get(LLMSession, session_id)
-            if user_session is None:
-                return
-            user_session.total_tokens += tokens
-            await db_session.commit()
-
-    @staticmethod
-    def _get_response_tokens(response: litellm.ModelResponse) -> int:
-        usage = getattr(response, "usage", None)
-        if usage is None and isinstance(response, dict):
-            usage = response.get("usage")
-
-        if usage is None:
-            return 0
-        if isinstance(usage, dict):
-            return int(usage.get("total_tokens") or 0)
-        return int(getattr(usage, "total_tokens", 0) or 0)
-
-    @classmethod
-    async def _refresh_topic(
-        cls,
-        llm_session: LLMSession,
-        user_input: str,
-        model: str | None = None,
-    ) -> None:
-        async with get_db_session() as db_session:
-            user_session = await db_session.get(LLMSession, llm_session.session_id)
-            if user_session is None:
-                return
-            user_session.topic = await cls._generate_topic(user_input=user_input, model=model or llm_session.model)
-            await db_session.commit()
-            llm_session.topic = user_session.topic
-
-    @classmethod
-    async def _build_user_message(
-        cls,
-        message: MessageChain,
-        *,
-        session: Session,
-        model: str | None = None,
-    ) -> UserMessage:
-        content = []
-        model = model or get_model_config().name
-
-        if message.has(Text):
-            content.append({"type": "text", "text": message.extract_plain_text()})
-
-        if message.has(Image) and litellm.supports_vision(model):
-            img_chain = message.include(Image)
-            for img in img_chain:
-                content.append({"type": "image_url", "image_url": {"url": img.src}})
-
-        user_message: UserMessage = {
-            "role": "user",
-            "content": content,
-            "name": f"{session.user.name}({session.user.id})",
-        }
-
-        return user_message
-
-    @classmethod
-    async def create_new_session(cls, user_id: str, model: str | None = None) -> LLMSession:
-        return await cls._create_session(user_id=user_id, topic="新对话", model=model or get_model_config().name)
+    async def create_new_session(cls, user_id: str, model: str | None = None) -> SessionInfo:
+        selected_model = model or get_model_config().name
+        return await llm.session_store.create(user_id, selected_model)
 
     @classmethod
     async def switch(cls, user_id: str, session_id: str) -> bool:
-        async with get_db_session() as db_session:
-            target = await db_session.get(LLMSession, session_id)
-            if target is None or target.user_id != user_id:
-                return False
-
-            if target.is_active:
-                return True
-
-            active_stmt = select(LLMSession).where(LLMSession.user_id == user_id, LLMSession.is_active.is_(True))
-            active_sessions = (await db_session.scalars(active_stmt)).all()
-            for active in active_sessions:
-                active.is_active = False
-            target.is_active = True
-            await db_session.commit()
-            return True
+        return await llm.session_store.activate(user_id, session_id)
 
     @classmethod
     async def delete(cls, user_id: str, session_id: str) -> bool:
-        async with get_db_session() as db_session:
-            user_session = await db_session.get(LLMSession, session_id)
-            if user_session is None or user_session.user_id != user_id:
-                return False
-            await db_session.delete(user_session)
-            await db_session.commit()
-            return True
+        return await llm.session_store.delete(user_id, session_id)
 
     @classmethod
     async def get_current_session_info(cls, user_id: str) -> dict[str, Any] | None:
-        async with get_db_session() as db_session:
-            stmt = (
-                select(LLMSession)
-                .where(LLMSession.user_id == user_id, LLMSession.is_active.is_(True))
-                .order_by(desc(LLMSession.created_at))
-                .limit(1)
-            )
-            session = await db_session.scalar(stmt)
-            if session is None:
-                return None
-
-            count_stmt = (
-                select(func.count(SessionContext.id))
-                .where(SessionContext.session_id == session.session_id)
-                .where(SessionContext.role.in_(("user", "assistant")))
-            )
-            message_count = int(await db_session.scalar(count_stmt) or 0)
-
-            return {
-                "session_id": session.session_id,
-                "topic": session.topic,
-                "model": session.model,
-                "is_active": session.is_active,
-                "created_at": session.created_at,
-                "message_count": message_count,
-                "total_tokens": session.total_tokens,
-            }
+        session = await llm.session_store.current(user_id)
+        return asdict(session) if session is not None else None
 
     @classmethod
     async def select_model(cls, user_id: str, model: str) -> bool:
-        async with get_db_session() as db_session:
-            stmt = (
-                select(LLMSession)
-                .where(LLMSession.user_id == user_id, LLMSession.is_active.is_(True))
-                .order_by(desc(LLMSession.created_at))
-                .limit(1)
-            )
-            session = await db_session.scalar(stmt)
-            if session is None:
-                return False
-            session.model = model
-            await db_session.commit()
-            return True
+        return await llm.session_store.set_model(user_id, model)
 
     @classmethod
-    async def list_sessions(cls, user_id: str) -> Sequence[LLMSession]:
-        async with get_db_session() as db_session:
-            stmt = select(LLMSession).where(LLMSession.user_id == user_id).order_by(desc(LLMSession.created_at))
-            return list((await db_session.scalars(stmt)).all())
+    async def list_sessions(cls, user_id: str) -> list[SessionInfo]:
+        return await llm.session_store.list(user_id)
 
     @classmethod
     async def chat(
@@ -255,46 +49,37 @@ async def chat(
         model: str | None = None,
         new: bool = False,
     ) -> str:
-        user_message = await cls._build_user_message(user_prompt, session=session, model=model)
-
-        llm_session = await cls._get_active_session(f"{session.account.platform}:{session.user.id}")
-        if new or llm_session is None:
-            llm_session = await cls._create_session(
-                user_id=f"{session.account.platform}:{session.user.id}",
-                user_input=user_prompt.extract_plain_text(),
-                model=model or get_model_config().name,
-            )
-
-        if llm_session.topic == "新对话":
-            await cls._refresh_topic(llm_session, user_input=user_prompt.extract_plain_text(), model=model)
-
-        await cls._persist_message(llm_session.session_id, user_message)
-
-        messages = await cls._load_messages(llm_session.session_id)
-
-        async def on_message_callback(message: Message) -> None:
-            await cls._persist_message(llm_session.session_id, message)
+        user_id = f"{session.account.platform}:{session.user.id}"
+        llm_session = None if new else await llm.session_store.current(user_id)
+        if llm_session is None:
+            selected_model = model or get_model_config(None, session.channel.id).name
+            llm_session = await llm.session_store.create(user_id, selected_model)
+
+        selected_model = llm_session.model or model or get_model_config(None, session.channel.id).name
+        content: list[dict[str, Any]] = []
+        if user_prompt.has(Text):
+            content.append({"type": "text", "text": user_prompt.extract_plain_text()})
+        if user_prompt.has(Image) and litellm.supports_vision(selected_model):
+            for image in user_prompt.include(Image):
+                content.append({"type": "image_url", "image_url": {"url": image.src}})
+        user_message = Message(
+            role="user",
+            content=content,
+            name=f"{session.user.name}({session.user.id})",
+        )
 
         collect_event = LLMCollectVariableEvent(session, llm_session, user_prompt)
-        variables = {}
-        async for res in waterfall(collect_event, inherit_ctx=ctx):
-            variables.update(res.value)
+        variables: dict[str, Any] = {}
+        async for result in waterfall(collect_event, inherit_ctx=ctx):
+            variables.update(result.value)
 
-        response = await llm.generate(
-            messages,
+        response = await llm._generate_for_session(
+            [user_message],
             variables,
-            stream=False,
-            model=llm_session.model,
-            session_id=llm_session.session_id,
-            user=session.user.name,
-            on_message=on_message_callback,
-            ctx=ctx,
+            session=llm_session,
+            model=selected_model,
         )
-        await cls._persist_token_usage(llm_session.session_id, cls._get_response_tokens(response))
-
-        response_message = response.choices[0].message
-        final_answer = response_message.content or ""
-
+        final_answer = response.content or ""
         if not final_answer:
             return "对话失败，请稍后再试"
-        return final_answer
+        return str(final_answer)
diff --git a/src/entari_plugin_llm/model.py b/src/entari_plugin_llm/model.py
deleted file mode 100644
index 550e9d3..0000000
--- a/src/entari_plugin_llm/model.py
+++ /dev/null
@@ -1,83 +0,0 @@
-import json
-from datetime import datetime
-from typing import Literal, TypeAlias, cast
-
-from entari_plugin_database import Base
-from sqlalchemy import Boolean, DateTime, ForeignKey, String, Text
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-from sqlalchemy.types import TEXT, TypeDecorator
-
-from ._types import Message
-
-ROLE: TypeAlias = Literal["user", "assistant", "tool"]
-
-
-class JSONText(TypeDecorator):
-    impl = TEXT
-    cache_ok = True
-
-    def process_bind_param(self, value, dialect):
-        if value is None:
-            return None
-        return json.dumps(value, ensure_ascii=False)
-
-    def process_result_value(self, value, dialect):
-        if value is None:
-            return None
-        return json.loads(value)
-
-
-class LLMSession(Base):
-    __tablename__ = "entari_plugin_llm_session"
-
-    session_id: Mapped[str] = mapped_column(String(64), primary_key=True)
-    user_id: Mapped[str] = mapped_column(String(64), index=True)
-    topic: Mapped[str] = mapped_column(String(24))
-    model: Mapped[str] = mapped_column(String(64))
-    is_active: Mapped[bool] = mapped_column(Boolean, default=True, index=True)
-
-    total_tokens: Mapped[int] = mapped_column(default=0)
-    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.now)
-
-    contexts = relationship("SessionContext", back_populates="session", cascade="all, delete-orphan")
-
-
-class SessionContext(Base):
-    __tablename__ = "entari_plugin_llm_context"
-
-    id: Mapped[int] = mapped_column(primary_key=True)
-    session_id: Mapped[str] = mapped_column(String(64), ForeignKey("entari_plugin_llm_session.session_id"), index=True)
-
-    role: Mapped[ROLE] = mapped_column(String(16))
-    content: Mapped[list] = mapped_column(JSONText, nullable=True)
-    reasoning_content: Mapped[str | None] = mapped_column(Text, nullable=True)
-    name: Mapped[str | None] = mapped_column(String(64), nullable=True)
-
-    tool_calls: Mapped[list | None] = mapped_column(JSONText, nullable=True)
-    tool_call_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
-
-    session = relationship("LLMSession", back_populates="contexts")
-
-    @property
-    def message(self) -> Message:
-        msg: dict = {"role": self.role, "content": self.content}
-
-        if self.role == "user":
-            if self.name:
-                msg["name"] = self.name
-
-        elif self.role == "assistant":
-            if self.reasoning_content:
-                msg["reasoning_content"] = self.reasoning_content
-            if self.tool_calls:
-                msg["tool_calls"] = self.tool_calls
-            msg["content"] = self.content
-
-        elif self.role == "tool" and self.tool_call_id:
-            msg["tool_call_id"] = self.tool_call_id
-
-        elif self.role == "system":
-            if self.name:
-                msg["name"] = self.name
-
-        return cast(Message, msg)
diff --git a/src/entari_plugin_llm/response.py b/src/entari_plugin_llm/response.py
new file mode 100644
index 0000000..18e9740
--- /dev/null
+++ b/src/entari_plugin_llm/response.py
@@ -0,0 +1,86 @@
+import json
+from collections.abc import AsyncIterator
+from typing import Any, Generic, TypeVar, cast
+
+from agno.run.agent import RunOutput
+
+TOutput = TypeVar("TOutput")
+
+
+class GenericResponse(Generic[TOutput]):
+
+    def __init__(
+        self,
+        run_output: RunOutput | None = None,
+        stream: AsyncIterator[Any] | None = None,
+        structured: bool = False,
+    ) -> None:
+        self._run_output = run_output
+        self._stream = stream
+        self._structured = structured
+
+    @property
+    def content(self) -> str | TOutput | None:
+        if self._run_output is not None:
+            return self._run_output.content
+        return None
+
+    @property
+    def output(self) -> TOutput | Any | None:
+        if self._run_output is None or not self._structured:
+            return None
+        content = self._run_output.content
+        if isinstance(content, str):
+            try:
+                return json.loads(content)
+            except json.JSONDecodeError:
+                return None
+        return cast(TOutput, content)
+
+    def __str__(self) -> str:
+        content = self.content
+        if content is None:
+            return ""
+        if isinstance(content, str):
+            return content
+        return str(content)
+
+    def __repr__(self) -> str:
+        return f"GenericResponse(content={self.content!r}, is_stream={self.is_stream})"
+
+    @property
+    def messages(self) -> list:
+        if self._run_output is not None:
+            return self._run_output.messages or []
+        return []
+
+    @property
+    def metrics(self) -> Any:
+        if self._run_output is not None:
+            return self._run_output.metrics
+        return None
+
+    def stream(self) -> AsyncIterator[Any]:
+        if self._stream is not None:
+            return self._stream
+        raise RuntimeError("stream() called on a non-streaming response")
+
+    @property
+    def is_stream(self) -> bool:
+        return self._stream is not None
+
+    @classmethod
+    def from_run_output(
+        cls,
+        run_output: RunOutput,
+        *,
+        structured: bool = False,
+    ) -> "GenericResponse[TOutput]":
+        return cls(run_output=run_output, structured=structured)
+
+    @classmethod
+    def from_stream(
+        cls,
+        stream: AsyncIterator[Any],
+    ) -> "GenericResponse[Any]":
+        return cls(stream=stream)
diff --git a/src/entari_plugin_llm/service.py b/src/entari_plugin_llm/service.py
index 0644cfb..ee5dca7 100644
--- a/src/entari_plugin_llm/service.py
+++ b/src/entari_plugin_llm/service.py
@@ -1,35 +1,37 @@
-import json
 import time
-from collections.abc import Awaitable, Callable
 from typing import Any, Literal, TypeVar, overload
 
 import litellm
-from arclet.entari import add_service
-from arclet.letoderea.context import Contexts, generate_contexts
-from arclet.letoderea.exceptions import ExitState, _ExitException
+from agno.agent import Agent
+from agno.db.sqlite import AsyncSqliteDb
+from agno.models.litellm import LiteLLM
+from agno.models.message import Message
+from agno.run.base import RunStatus
+from arclet.entari import add_service, local_data
 from launart import Launart, Service
 from launart.status import Phase
-from litellm.types.utils import Choices
 
 from ._callback import TokenUsageHandler
-from ._types import Message, ToolMessage
 from .config import _conf, get_model_config
-from .json_output import OutputType, StructuredModelResponse, parse_output
-from .log import log, logger
-from .tools.event import LLMToolEvent, available_functions, tools
+from .response import GenericResponse
+from .sessions import AgnoSessionStore, SessionInfo
+from .tools.bridge import get_agno_tools
 
 TOutput = TypeVar("TOutput")
+OutputType = Literal["json_object"] | type[Any] | dict[str, Any]
 
 
 class LLMService(Service):
     id = "entari_plugin_llm"
 
-    def __init__(self):
+    def __init__(self) -> None:
         super().__init__()
         self.total_tokens = 0
         self.total_calls = 0
-        self.start_time = 0
+        self.start_time: float = 0.0
         self.usage_handler = TokenUsageHandler(self)
+        self._db: AsyncSqliteDb | None = None
+        self._sessions: AgnoSessionStore | None = None
 
     @property
     def required(self) -> set[str]:
@@ -39,81 +41,11 @@ def required(self) -> set[str]:
     def stages(self) -> set[Phase]:
         return {"preparing", "blocking", "cleanup"}
 
-    def _build_payload(
-        self,
-        messages: list[Message],
-        variables: dict[str, Any] | None,
-        stream: bool,
-        system: str | None = None,
-        model: str | None = None,
-        ignore_user_prompt: bool = False,
-        **kwargs,
-    ) -> dict:
-        conf = get_model_config(model)
-        payload_messages = list(messages)
-
-        if system:
-            user_prompt = system
-        elif not ignore_user_prompt and conf.prompt:
-            user_prompt = conf.prompt
-        else:
-            user_prompt = None
-        if user_prompt:
-            payload_messages.insert(0, {"role": "system", "content": user_prompt})
-            if variables:
-                VARIABLES = "下列是用以辅助你思考回答的变量：\n" + "\n".join(
-                    f"- **{key}**: {value!r}" for key, value in variables.items()
-                )
-                payload_messages.insert(1, {"role": "system", "content": VARIABLES})
-
-        return {
-            "model": conf.name,
-            "messages": payload_messages,
-            "stream": stream,
-            "base_url": conf.base_url,
-            "api_key": conf.api_key,
-            **conf.extra,
-            **kwargs,
-        }
-
-    async def _handle_tool_call(
-        self,
-        tool_call: litellm.ChatCompletionMessageToolCall,
-        ctx: Contexts | None = None,
-    ) -> tuple[ToolMessage | None, bool]:
-        function_name = tool_call.function.name
-        if function_name is None:
-            return None, False
-
-        function_to_call = available_functions[function_name]
-        function_args = json.loads(tool_call.function.arguments)
-        ctx1 = await generate_contexts(LLMToolEvent(), inherit_ctx=ctx)
-        logger.debug(f"Calling tool: {function_name} with args: {function_args}")
-
-        exit_loop = False
-        try:
-            resp = await function_to_call.handle(ctx1 | function_args, inner=True)
-            if isinstance(resp, ExitState):
-                if resp is ExitState.stop:
-                    return None, False
-                result = {"ok": True, "data": "已结束对话"}
-                exit_loop = True
-            elif isinstance(resp, _ExitException):
-                result = {"ok": True, "data": resp.args[0] if resp.args else None}
-                if len(resp.args) > 1 and resp.args[1]:
-                    exit_loop = True
-            else:
-                result = {"ok": True, "data": resp}
-        except Exception as e:
-            result = {"ok": False, "error": repr(e)}
-
-        tool_message: ToolMessage = {
-            "tool_call_id": tool_call.id,
-            "role": "tool",
-            "name": function_name,
-            "content": json.dumps(result, ensure_ascii=False),
-        }
-        return tool_message, exit_loop
+    @property
+    def session_store(self) -> AgnoSessionStore:
+        if self._sessions is None:
+            raise RuntimeError("Agno session store is not initialized")
+        return self._sessions
 
     @overload
     async def generate(
@@ -121,15 +53,13 @@ async def generate(
         message: str | list[Message],
         variables: dict[str, Any] | None = None,
         *,
-        stream: Literal[False] = False,
+        stream: bool = False,
         system: str | None = None,
         model: str | None = None,
-        output: None = None,
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
+        output: type[TOutput],
         ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> litellm.ModelResponse: ...
+        **kwargs: Any,
+    ) -> GenericResponse[TOutput]: ...
 
     @overload
     async def generate(
@@ -137,15 +67,13 @@ async def generate(
         message: str | list[Message],
         variables: dict[str, Any] | None = None,
         *,
-        stream: Literal[True],
+        stream: bool = False,
         system: str | None = None,
         model: str | None = None,
-        output: type[TOutput] | None = None,
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
+        output: Literal["json_object"] | dict[str, Any],
         ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> litellm.CustomStreamWrapper: ...
+        **kwargs: Any,
+    ) -> GenericResponse[Any]: ...
 
     @overload
     async def generate(
@@ -153,186 +81,168 @@ async def generate(
         message: str | list[Message],
         variables: dict[str, Any] | None = None,
         *,
-        stream: Literal[False] = False,
+        stream: bool = False,
         system: str | None = None,
         model: str | None = None,
-        output: Literal["json_object"] | dict[str, Any],
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
+        output: None = None,
         ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> StructuredModelResponse[Any]: ...
+        **kwargs: Any,
+    ) -> GenericResponse[None]: ...
 
-    @overload
     async def generate(
         self,
         message: str | list[Message],
         variables: dict[str, Any] | None = None,
         *,
-        stream: Literal[False] = False,
+        stream: bool = False,
         system: str | None = None,
         model: str | None = None,
-        output: type[TOutput],
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
+        output: OutputType | None = None,
         ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> StructuredModelResponse[TOutput]: ...
-
-    @overload
-    async def generate(
+        **kwargs: Any,
+    ) -> GenericResponse[Any]:
+        """Generate a stateless LLM response through an Agno Agent."""
+        if "session_id" in kwargs or "user_id" in kwargs:
+            raise TypeError("session_id and user_id are reserved for Entari chat persistence")
+        return await self._run_agent(
+            message,
+            variables,
+            stream=stream,
+            system=system,
+            model=model,
+            output=output,
+            session=None,
+            ignore_user_prompt=ignore_user_prompt,
+            request_params=kwargs,
+        )
+
+    async def _generate_for_session(
         self,
         message: str | list[Message],
         variables: dict[str, Any] | None = None,
         *,
-        stream: bool,
-        system: str | None = None,
+        session: SessionInfo,
         model: str | None = None,
-        output: OutputType | None = None,
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
-        ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> litellm.ModelResponse | litellm.CustomStreamWrapper: ...
-
-    async def generate(
+    ) -> GenericResponse[None]:
+        """Generate a persisted response for Entari's chat session manager."""
+        return await self._run_agent(
+            message,
+            variables,
+            stream=False,
+            system=None,
+            model=model,
+            output=None,
+            session=session,
+            ignore_user_prompt=False,
+            request_params={},
+        )
+
+    async def _run_agent(
         self,
         message: str | list[Message],
-        variables: dict[str, Any] | None = None,
+        variables: dict[str, Any] | None,
         *,
-        stream: bool = False,
-        system: str | None = None,
-        model: str | None = None,
-        output: OutputType | None = None,
-        on_message: Callable[[Message], Awaitable[None]] | None = None,
-        ignore_user_prompt: bool = False,
-        ctx: Contexts | None = None,
-        **kwargs,
-    ) -> litellm.ModelResponse | litellm.CustomStreamWrapper:
-        if isinstance(message, str):
-            messages: list[Message] = [{"role": "user", "content": message}]
-        else:
-            messages = message
-
+        stream: bool,
+        system: str | None,
+        model: str | None,
+        output: OutputType | None,
+        session: SessionInfo | None,
+        ignore_user_prompt: bool,
+        request_params: dict[str, Any],
+    ) -> GenericResponse[Any]:
         if output is not None and stream:
             raise ValueError("output is not supported when stream=True")
 
-        if output is not None:
-            json_system_hint = (
-                "Return valid JSON only. Do not include markdown code fences or any additional explanation."
-            )
-            system = f"{system}\n\n{json_system_hint}" if system else json_system_hint
-
-            kwargs["response_format"] = {"type": "json_object"}
-
-        steps = max(1, _conf.toolcall_max_steps)
-        for _ in range(steps):
-            payload = self._build_payload(
-                messages=messages,
-                variables=variables,
-                stream=stream,
-                system=system,
-                model=model,
-                tools=tools.copy(),
-                tool_choice="auto",
-                ignore_user_prompt=ignore_user_prompt,
-                **kwargs,
-            )
-            response = await litellm.acompletion(**payload)
-            if isinstance(response, litellm.CustomStreamWrapper):
-                return response
-
-            response_message = response.choices[0].message
-            tool_calls = response_message.tool_calls
-            assistant_message: Message = {
-                "role": "assistant",
-                "content": response_message.content,
-            }
-            if tool_calls:
-                assistant_message["tool_calls"] = [tc.model_dump() for tc in tool_calls]
-
-            messages.append(assistant_message)
-            if on_message:
-                await on_message(assistant_message)
-
-            if not tool_calls:
-                break
-
-            exit_loop = False
-            calls = [tc for tc in tool_calls if isinstance(tc, litellm.ChatCompletionMessageToolCall)]
-            for tool_call in calls:
-                tool_message, should_exit = await self._handle_tool_call(tool_call, ctx)
-                if tool_message:
-                    messages.append(tool_message)
-                    if on_message:
-                        await on_message(tool_message)
-                if should_exit:
-                    exit_loop = True
-                    break
-
-            if exit_loop:
-                response_message["content"] = "[END_OF_RESPONSE]"
-                response_message["tool_calls"] = None
-                break
+        model_config = get_model_config(model)
+        if system is not None:
+            instructions = system
+        elif ignore_user_prompt:
+            instructions = None
         else:
-            response = None
-            logger.warning("Tool call max steps reached without final response")
-
-        if response is None:
-            raise RuntimeError("LLM completion did not return a response")
+            instructions = model_config.prompt or _conf.prompt or None
 
+        if variables:
+            variable_instructions = "下列是用以辅助你思考回答的变量：\n" + "\n".join(
+                f"- **{key}**: {value!r}" for key, value in variables.items()
+            )
+            instructions = f"{instructions}\n\n{variable_instructions}" if instructions else variable_instructions
+
+        model_request_params = {**model_config.extra, **request_params}
+        agno_model = LiteLLM(
+            id=model_config.name,
+            api_key=model_config.api_key,
+            api_base=model_config.base_url,
+            request_params=model_request_params or None,
+        )
+
+        agent_kwargs: dict[str, Any] = {
+            "id": self.id,
+            "model": agno_model,
+            "instructions": instructions,
+            "tools": get_agno_tools(),
+            "markdown": False,
+        }
         if output is not None:
-            if isinstance(response, litellm.CustomStreamWrapper):
-                raise ValueError("output is not supported when stream=True")
-
-            choice = response.choices[0]
-            assert isinstance(choice, Choices)
-            content = choice.message.content
-            parsed = parse_output(content, output)
-            return StructuredModelResponse.from_model_response(response, parsed)
-
-        return response
+            agent_kwargs["output_schema"] = output if output != "json_object" else {"type": "object"}
+            agent_kwargs["use_json_mode"] = True
+        if session is not None:
+            if self._db is not None:
+                agent_kwargs["db"] = self._db
+            agent_kwargs["session_id"] = session.session_id
+            agent_kwargs["user_id"] = session.user_id
+            agent_kwargs["add_history_to_context"] = True
+            agent_kwargs["enable_session_summaries"] = True
+            agent_kwargs["add_session_summary_to_context"] = False
+
+        agent = Agent(**agent_kwargs)
+        if stream:
+            return GenericResponse.from_stream(agent.arun(message, stream=True))
+
+        result = await agent.arun(message)
+        if result.status is RunStatus.error:
+            raise RuntimeError(str(result.content or "Agno agent run failed"))
+        return GenericResponse.from_run_output(result, structured=output is not None)
 
     async def vision(
         self,
-        image_url: str,
-        *,
+        image_url: str | dict[str, Any],
         system: str | None = None,
         model: str | None = None,
-    ) -> litellm.ModelResponse:
-        image_payload = {"url": image_url} if isinstance(image_url, str) else image_url["image_url"]
-        message: list[Message] = [
-            {
-                "role": "user",
-                "content": [
-                    {"type": "text", "text": "What’s in this image?"},
-                    {"type": "image_url", "image_url": image_payload},
-                ],
-            }
-        ]
-
-        conf = get_model_config(model)
-
-        if not litellm.supports_vision(conf.name):
-            raise RuntimeError(f"Model {conf.name} does not support vision input")
-
-        return await self.generate(message, system=system, model=conf.name, ignore_user_prompt=True)
-
-    async def launch(self, manager: Launart):
+    ) -> GenericResponse[None]:
+        """Describe an image through the standard generate path."""
+        model_config = get_model_config(model)
+        if not litellm.supports_vision(model_config.name):
+            raise RuntimeError(f"Model {model_config.name} does not support vision input")
+
+        if isinstance(image_url, str):
+            url = image_url
+        else:
+            image = image_url.get("image_url", image_url)
+            url = image["url"] if isinstance(image, dict) else str(image)
+        message = Message(
+            role="user",
+            content=[
+                {"type": "text", "text": "Describe this image."},
+                {"type": "image_url", "image_url": {"url": url}},
+            ],
+        )
+        return await self.generate([message], system=system, model=model_config.name)
+
+    async def launch(self, manager: Launart) -> None:
         async with self.stage("preparing"):
             litellm.drop_params = True
             litellm.callbacks = [self.usage_handler]
             self.start_time = time.time()
+            db_path = local_data.get_data_file("entari_plugin_llm", "agno.db")
+            self._db = AsyncSqliteDb(db_file=str(db_path))
+            self._sessions = AgnoSessionStore(self._db, self.id)
 
         async with self.stage("blocking"):
             await manager.status.wait_for_sigexit()
 
         async with self.stage("cleanup"):
-            uptime = time.strftime("%H:%M:%S", time.gmtime(time.time() - self.start_time))
-            log(
-                "success",
-                f"运行统计: 耗时 [ {uptime} ] | 总请求 [ {self.total_calls} ] | 预估总 Token [ {self.total_tokens} ]",
-            )
+            if self._db is not None:
+                await self._db.db_engine.dispose()
 
 
 llm = LLMService()
diff --git a/src/entari_plugin_llm/sessions.py b/src/entari_plugin_llm/sessions.py
new file mode 100644
index 0000000..a5880f0
--- /dev/null
+++ b/src/entari_plugin_llm/sessions.py
@@ -0,0 +1,198 @@
+from __future__ import annotations
+
+import time
+from dataclasses import dataclass
+from datetime import datetime
+from uuid import uuid4
+
+from agno.db.base import SessionType
+from agno.db.sqlite import AsyncSqliteDb
+from agno.session.agent import AgentSession
+
+from ._jsondata import (
+    clear_current_session,
+    clear_session_model,
+    get_current_session,
+    get_session_model,
+    set_current_session,
+    set_session_model,
+)
+
+
+@dataclass(frozen=True, slots=True)
+class SessionInfo:
+    session_id: str
+    user_id: str
+    topic: str
+    model: str
+    is_active: bool
+    total_tokens: int
+    message_count: int
+    created_at: datetime
+    summary: str | None = None
+
+
+class AgnoSessionStore:
+    """Entari session selection backed by Agno conversation sessions."""
+
+    def __init__(self, db: AsyncSqliteDb, agent_id: str) -> None:
+        self.db = db
+        self.agent_id = agent_id
+
+    async def create(self, user_id: str, model: str) -> SessionInfo:
+        created_at = int(time.time())
+        session_id = uuid4().hex
+        set_current_session(user_id, session_id, created_at)
+        set_session_model(session_id, model)
+        return self._pending_info(user_id, session_id, created_at, model)
+
+    async def current(self, user_id: str) -> SessionInfo | None:
+        pointer = get_current_session(user_id)
+        if pointer is not None:
+            session = await self.db.get_session(
+                pointer.session_id,
+                SessionType.AGENT,
+                user_id=user_id,
+            )
+            if isinstance(session, AgentSession):
+                return self._to_info(session, pointer.session_id)
+            return self._pending_info(
+                user_id,
+                pointer.session_id,
+                pointer.created_at,
+                get_session_model(pointer.session_id) or "",
+            )
+
+        sessions = await self._get_user_sessions(user_id)
+        if not sessions:
+            return None
+        session = sessions[0]
+        set_current_session(user_id, session.session_id, session.created_at or int(time.time()))
+        return self._to_info(session, session.session_id)
+
+    async def list(self, user_id: str) -> list[SessionInfo]:
+        pointer = get_current_session(user_id)
+        current_id = pointer.session_id if pointer is not None else None
+        sessions = await self._get_user_sessions(user_id)
+        result = [self._to_info(session, current_id) for session in sessions]
+        if pointer is not None and all(session.session_id != pointer.session_id for session in sessions):
+            result.insert(
+                0,
+                self._pending_info(
+                    user_id,
+                    pointer.session_id,
+                    pointer.created_at,
+                    get_session_model(pointer.session_id) or "",
+                ),
+            )
+        return result
+
+    async def activate(self, user_id: str, session_id: str) -> bool:
+        pointer = get_current_session(user_id)
+        if pointer is not None and pointer.session_id == session_id:
+            return True
+
+        session = await self.db.get_session(session_id, SessionType.AGENT, user_id=user_id)
+        if not isinstance(session, AgentSession):
+            return False
+        set_current_session(user_id, session_id, session.created_at or int(time.time()))
+        return True
+
+    async def set_model(self, user_id: str, model: str) -> bool:
+        session = await self.current(user_id)
+        if session is None:
+            return False
+        set_session_model(session.session_id, model)
+        return True
+
+    async def delete(self, user_id: str, session_id: str) -> bool:
+        pointer = get_current_session(user_id)
+        is_current = pointer is not None and pointer.session_id == session_id
+        session = await self.db.get_session(session_id, SessionType.AGENT, user_id=user_id)
+        if not isinstance(session, AgentSession):
+            if is_current:
+                clear_current_session(user_id)
+                clear_session_model(session_id)
+                return True
+            return False
+
+        deleted = await self.db.delete_session(session_id, user_id=user_id)
+        if deleted:
+            clear_session_model(session_id)
+            if is_current:
+                clear_current_session(user_id)
+        return deleted
+
+    async def _get_user_sessions(self, user_id: str) -> list[AgentSession]:
+        rows = await self.db.get_sessions(
+            session_type=SessionType.AGENT,
+            user_id=user_id,
+            component_id=self.agent_id,
+            sort_by="created_at",
+            sort_order="desc",
+        )
+        if isinstance(rows, tuple):
+            rows = rows[0]
+        return [session for session in rows if isinstance(session, AgentSession)]
+
+    def _to_info(self, session: AgentSession, current_id: str | None) -> SessionInfo:
+        summary = session.summary
+        summary_text = summary.summary.strip() if summary and summary.summary else None
+        if summary and summary.topics:
+            topic = summary.topics[0].strip()
+        elif summary_text:
+            topic = summary_text.splitlines()[0]
+        else:
+            topic = "新对话"
+        topic = topic[:24] or "新对话"
+
+        total_tokens = 0
+        for run in session.runs or []:
+            metrics = getattr(run, "metrics", None)
+            if isinstance(metrics, dict):
+                total_tokens += int(metrics.get("total_tokens") or 0)
+            elif metrics is not None:
+                total_tokens += int(getattr(metrics, "total_tokens", 0) or 0)
+
+        message_count = sum(
+            1 for message in session.get_chat_history() if message.role in {"user", "assistant"}
+        )
+        return SessionInfo(
+            session_id=session.session_id,
+            user_id=session.user_id or "",
+            topic=topic,
+            model=get_session_model(session.session_id) or self._stored_model(session),
+            is_active=session.session_id == current_id,
+            total_tokens=total_tokens,
+            message_count=message_count,
+            created_at=datetime.fromtimestamp(session.created_at or 0),
+            summary=summary_text,
+        )
+
+    @staticmethod
+    def _stored_model(session: AgentSession) -> str:
+        agent_data = session.agent_data
+        if not isinstance(agent_data, dict):
+            return ""
+        model = agent_data.get("model")
+        if isinstance(model, str):
+            return model
+        if isinstance(model, dict):
+            for key in ("id", "name", "model"):
+                value = model.get(key)
+                if isinstance(value, str) and value:
+                    return value
+        return ""
+
+    @staticmethod
+    def _pending_info(user_id: str, session_id: str, created_at: int, model: str) -> SessionInfo:
+        return SessionInfo(
+            session_id=session_id,
+            user_id=user_id,
+            topic="新对话",
+            model=model,
+            is_active=True,
+            total_tokens=0,
+            message_count=0,
+            created_at=datetime.fromtimestamp(created_at),
+        )
diff --git a/src/entari_plugin_llm/tools/bridge.py b/src/entari_plugin_llm/tools/bridge.py
new file mode 100644
index 0000000..26d45a1
--- /dev/null
+++ b/src/entari_plugin_llm/tools/bridge.py
@@ -0,0 +1,73 @@
+"""Bridge Entari LLMToolEvent subscribers to Agno-compatible callables.
+
+Agno expects plain async functions. Entari tools are event subscribers that fire
+through the `tools_pub` publisher with provider-injected dependencies. This module
+wraps each registered tool so Agno can invoke it, while the Entari event machinery
+handles DI and lifecycle.
+"""
+
+import inspect
+import json
+from collections.abc import Awaitable, Callable
+from typing import Any
+
+from arclet.letoderea.context import generate_contexts
+from arclet.letoderea.exceptions import ExitState, _ExitException
+from tarina import Empty
+
+from ..log import logger
+from .event import LLMToolEvent, available_functions
+
+
+def _build_agno_tool(name: str) -> Callable[..., Awaitable[str]]:
+    """Create an Agno-compatible async callable for a named Entari tool."""
+
+    sub = available_functions[name]
+
+    async def _wrapper(**kwargs: Any) -> str:
+        tool_ctx = await generate_contexts(LLMToolEvent())
+        logger.debug(f"Agno bridge calling tool: {name} with args: {kwargs}")
+
+        try:
+            resp = await sub.handle(tool_ctx, inner=True, **kwargs)
+            if isinstance(resp, ExitState):
+                if resp is ExitState.stop:
+                    return json.dumps({"ok": True, "data": "已结束对话"}, ensure_ascii=False)
+                return json.dumps({"ok": True, "data": str(resp)}, ensure_ascii=False)
+            elif isinstance(resp, _ExitException):
+                result = {"ok": True, "data": resp.args[0] if resp.args else None}
+                return json.dumps(result, ensure_ascii=False)
+            elif isinstance(resp, (str, int, float, bool, list, dict, type(None))):
+                return json.dumps({"ok": True, "data": resp}, ensure_ascii=False)
+            else:
+                return json.dumps({"ok": True, "data": str(resp)}, ensure_ascii=False)
+        except Exception as e:
+            return json.dumps({"ok": False, "error": repr(e)}, ensure_ascii=False)
+
+    # Copy metadata Agno uses for function schema
+    _wrapper.__name__ = name
+    _wrapper.__doc__ = sub.__doc__ or ""
+
+    parameters: list[inspect.Parameter] = []
+    annotations: dict[str, Any] = {"return": str}
+    for param in sub.params:
+        if param.providers:
+            continue
+        annotations[param.name] = param.annotation
+        parameters.append(
+            inspect.Parameter(
+                name=param.name,
+                kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                default=inspect.Parameter.empty if param.default is Empty else param.default,
+                annotation=param.annotation,
+            )
+        )
+    _wrapper.__annotations__ = annotations
+    setattr(_wrapper, "__signature__", inspect.Signature(parameters, return_annotation=str))
+
+    return _wrapper
+
+
+def get_agno_tools() -> list[Callable[..., Awaitable[str]]]:
+    """Return all registered Entari tools as Agno-compatible callables."""
+    return [_build_agno_tool(name) for name in available_functions]
diff --git a/src/entari_plugin_llm/tools/builtins/image_vision.py b/src/entari_plugin_llm/tools/builtins/image_vision.py
index f50a20c..4c02ed9 100644
--- a/src/entari_plugin_llm/tools/builtins/image_vision.py
+++ b/src/entari_plugin_llm/tools/builtins/image_vision.py
@@ -39,4 +39,4 @@ async def image_vision(session: Session, index: int = 0) -> str:
     except RuntimeError:
         return "无法识别图片内容"
 
-    return resp.choices[0].message.content or "无法识别图片内容"
+    return resp.content or "无法识别图片内容"
diff --git a/src/entari_plugin_llm/tools/event.py b/src/entari_plugin_llm/tools/event.py
index 98bc38d..ad46222 100644
--- a/src/entari_plugin_llm/tools/event.py
+++ b/src/entari_plugin_llm/tools/event.py
@@ -1,5 +1,5 @@
 import inspect
-from typing import Annotated, Any, get_args
+from typing import Annotated, Any, TypeAlias, get_args
 
 from arclet.entari import MessageCreatedEvent
 from arclet.entari.config.dc_schema import _MISSING, SchemaGenerator
@@ -11,9 +11,11 @@
 from tarina.generic import get_origin, origin_is_union
 from typing_extensions import Doc
 
-from .._types import JSON_TYPE
 from ..log import logger
 
+JSON_VALUE: TypeAlias = str | int | float | bool | None
+JSON_TYPE: TypeAlias = dict[str, "JSON_TYPE"] | list["JSON_TYPE"] | JSON_VALUE
+
 
 class LLMToolEvent:
     def check_result(self, value: Any) -> Result[JSON_TYPE] | None:
diff --git a/src/entari_plugin_llm/utils.py b/src/entari_plugin_llm/utils.py
index 97bcbd6..d85ef78 100644
--- a/src/entari_plugin_llm/utils.py
+++ b/src/entari_plugin_llm/utils.py
@@ -5,10 +5,10 @@
 from ._jsondata import get_default_model
 from .config import _conf
 from .manager import LLMSessionManager
-from .model import LLMSession
+from .sessions import SessionInfo
 
 
-def _parse_session_id(choice: str, rows: Sequence[LLMSession]) -> str | None:
+def _parse_session_id(choice: str, rows: Sequence[SessionInfo]) -> str | None:
     text = choice.strip()
     if not text:
         return None
@@ -23,7 +23,7 @@ def _parse_session_id(choice: str, rows: Sequence[LLMSession]) -> str | None:
     return None
 
 
-def render_session_list(rows: Sequence[LLMSession]) -> str:
+def render_session_list(rows: Sequence[SessionInfo]) -> str:
     lines = [f"会话列表（共 {len(rows)} 个）"]
     for idx, row in enumerate(rows, 1):
         flag = " [当前]" if row.is_active else ""
@@ -52,12 +52,12 @@ async def select_session(session: Session) -> str | None:
         return None
 
     prompt_text = f"{render_session_list(rows)}\n请输入会话序号或ID："
-    resp = await session.prompt(prompt_text)
-    if resp is None:
+    response = await session.prompt(prompt_text)
+    if response is None:
         await session.send("等待超时")
         return None
 
-    selected = _parse_session_id(resp.extract_plain_text(), rows)
+    selected = _parse_session_id(response.extract_plain_text(), rows)
     if selected is None:
         await session.send("输入无效，请输入会话序号或ID")
         return None
diff --git a/uv.lock b/uv.lock
index 18b5f65..ea9f76b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,49 +1,66 @@
 version = 1
 revision = 3
-requires-python = ">=3.10"
+requires-python = ">=3.10, <3.14"
 resolution-markers = [
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-    "python_full_version == '3.13.*'",
+    "python_full_version >= '3.13'",
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     "python_full_version < '3.11'",
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+version = "2.7.2"
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 dependencies = [
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     { name = "docstring-parser" },
-    { name = "gitpython" },
     { name = "h11" },
     { name = "httpx", extra = ["http2"] },
     { name = "packaging" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
-    { name = "python-dotenv" },
-    { name = "python-multipart" },
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+[package.optional-dependencies]
+sqlite = [
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+    { name = "sqlalchemy" },
+]
+
+[[package]]
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+dependencies = [
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 name = "aiohappyeyeballs"
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+version = "3.14.1"
 source = { registry = "https://pypi.org/simple" }
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@@ -53,112 +70,88 @@ dependencies = [
     { name = "frozenlist" },
     { name = "multidict" },
     { name = "propcache" },
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 [[package]]
 name = "zipp"
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diff --git a/zssm.py b/zssm.py
index 6c0ea2e..61a1e84 100644
--- a/zssm.py
+++ b/zssm.py
@@ -1,8 +1,7 @@
-from dataclasses import dataclass
-
 from arclet.entari import Image, MessageChain, Session, command
 from arclet.entari.const import ITEM_MESSAGE_REPLY
 from arclet.letoderea import Contexts
+from pydantic import BaseModel
 
 from entari_plugin_llm import llm
 
@@ -82,8 +81,7 @@
 """
 
 
-@dataclass
-class Output:
+class Output(BaseModel):
     output: str
     keyword: list[str]
     block: bool