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It has simple mathematical reasoning and coding abilities.", - "pricing": { - "prompt": "0.000000035", - "completion": "0.00000014", - "request": "0", - "image": "0" - }, - "contextLength": 128000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Nova", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 128000, - "maxCompletionTokens": 5120 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/amazon-nova-premier-1-0.json b/system-card/OpenRouterModel/amazon-nova-premier-1-0.json deleted file mode 100644 index 777d481..0000000 --- a/system-card/OpenRouterModel/amazon-nova-premier-1-0.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "amazon/nova-premier-v1", - "canonicalSlug": "amazon/nova-premier-v1", - "name": "Amazon: Nova Premier 1.0", - "created": 1761950332, - "cardDescription": "Amazon Nova Premier is the most capable of Amazon\u2019s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.", - "pricing": { - "prompt": "0.0000025", - "completion": "0.0000125", - "request": "0", - "image": "0" - }, - "contextLength": 1000000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Nova", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 1000000, - "maxCompletionTokens": 32000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/amazon-nova-pro-1-0.json b/system-card/OpenRouterModel/amazon-nova-pro-1-0.json deleted file mode 100644 index 1f39aef..0000000 --- a/system-card/OpenRouterModel/amazon-nova-pro-1-0.json +++ /dev/null @@ -1,58 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "amazon/nova-pro-v1", - "canonicalSlug": "amazon/nova-pro-v1", - "name": "Amazon: Nova Pro 1.0", - "created": 1733436303, - "cardDescription": "Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX).\n\nAmazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents.\n\n**NOTE**: Video input is not supported at this time.", - "pricing": { - "prompt": "0.0000008", - "completion": "0.0000032", - "request": "0", - "image": "0.0012" - }, - "contextLength": 300000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Nova", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 300000, - "maxCompletionTokens": 5120 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-5-haiku-2024-10-22.json b/system-card/OpenRouterModel/anthropic-claude-3-5-haiku-2024-10-22.json deleted file mode 100644 index 4b200e2..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-5-haiku-2024-10-22.json +++ /dev/null @@ -1,60 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3.5-haiku-20241022", - "canonicalSlug": "anthropic/claude-3-5-haiku-20241022", - "name": "Anthropic: Claude 3.5 Haiku (2024-10-22)", - "created": 1730678400, - "cardDescription": "Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries.\n\nIt does not support image inputs.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)", - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image", - "file" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 200000, - "maxCompletionTokens": 8192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-5-haiku.json b/system-card/OpenRouterModel/anthropic-claude-3-5-haiku.json deleted file mode 100644 index 4b7b989..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-5-haiku.json +++ /dev/null @@ -1,59 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3.5-haiku", - "canonicalSlug": "anthropic/claude-3-5-haiku", - "name": "Anthropic: Claude 3.5 Haiku", - "created": 1730678400, - "cardDescription": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 200000, - "maxCompletionTokens": 8192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-5-sonnet.json b/system-card/OpenRouterModel/anthropic-claude-3-5-sonnet.json deleted file mode 100644 index 2c014e3..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-5-sonnet.json +++ /dev/null @@ -1,60 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3.5-sonnet", - "canonicalSlug": "anthropic/claude-3.5-sonnet", - "name": "Anthropic: Claude 3.5 Sonnet", - "created": 1729555200, - "cardDescription": "New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:\n\n- Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding\n- Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights\n- Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone\n- Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)\n\n#multimodal", - "pricing": { - "prompt": "0.000006", - "completion": "0.00003", - "request": "0", - "image": "0" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image", - "file" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 200000, - "maxCompletionTokens": 8192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet-thinking.json b/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet-thinking.json deleted file mode 100644 index cec76cf..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet-thinking.json +++ /dev/null @@ -1,61 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3.7-sonnet:thinking", - "canonicalSlug": "anthropic/claude-3-7-sonnet-20250219", - "name": "Anthropic: Claude 3.7 Sonnet (thinking)", - "created": 1740422110, - "cardDescription": "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)", - "pricing": { - "prompt": "0.000003", - "completion": "0.000015", - "request": "0", - "image": "0.0048" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image", - "file" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 200000, - "maxCompletionTokens": 64000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "stop", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet.json b/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet.json deleted file mode 100644 index 496e692..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-7-sonnet.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3.7-sonnet", - "canonicalSlug": "anthropic/claude-3-7-sonnet-20250219", - "name": "Anthropic: Claude 3.7 Sonnet", - "created": 1740422110, - "cardDescription": "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)", - "pricing": { - "prompt": "0.000003", - "completion": "0.000015", - "request": "0", - "image": "0.0048" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image", - "file" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 200000, - "maxCompletionTokens": 64000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-haiku.json b/system-card/OpenRouterModel/anthropic-claude-3-haiku.json deleted file mode 100644 index bd50334..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-haiku.json +++ /dev/null @@ -1,59 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3-haiku", - "canonicalSlug": "anthropic/claude-3-haiku", - "name": "Anthropic: Claude 3 Haiku", - "created": 1710288000, - "cardDescription": "Claude 3 Haiku is Anthropic's fastest and most compact model for\nnear-instant responsiveness. Quick and accurate targeted performance.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)\n\n#multimodal", - "pricing": { - "prompt": "0.00000025", - "completion": "0.00000125", - "request": "0", - "image": "0.0004" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 200000, - "maxCompletionTokens": 4096 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-3-opus.json b/system-card/OpenRouterModel/anthropic-claude-3-opus.json deleted file mode 100644 index 813687d..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-3-opus.json +++ /dev/null @@ -1,59 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-3-opus", - "canonicalSlug": "anthropic/claude-3-opus", - "name": "Anthropic: Claude 3 Opus", - "created": 1709596800, - "cardDescription": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", - "pricing": { - "prompt": "0.000015", - "completion": "0.000075", - "request": "0", - "image": "0.024" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 200000, - "maxCompletionTokens": 4096 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-haiku-4-5.json b/system-card/OpenRouterModel/anthropic-claude-haiku-4-5.json deleted file mode 100644 index ac1a068..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-haiku-4-5.json +++ /dev/null @@ -1,65 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-haiku-4.5", - "canonicalSlug": "anthropic/claude-4.5-haiku-20251001", - "name": "Anthropic: Claude Haiku 4.5", - "created": 1760547638, - "cardDescription": "Claude Haiku 4.5 is Anthropic\u2019s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4\u2019s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.\n\nIt introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world\u2019s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled deployment.", - "pricing": { - "prompt": "0.000001", - "completion": "0.000005", - "request": "0", - "image": "0" - }, - "contextLength": 200000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "image", - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Claude", - "instructType": "" - }, - "topProvider": { - "isModerated": true, - "contextLength": 200000, - "maxCompletionTokens": 64000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/anthropic-claude-opus-4-1.json b/system-card/OpenRouterModel/anthropic-claude-opus-4-1.json deleted file mode 100644 index 4d57a0e..0000000 --- a/system-card/OpenRouterModel/anthropic-claude-opus-4-1.json +++ /dev/null @@ -1,68 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "anthropic/claude-opus-4.1", - "canonicalSlug": "anthropic/claude-4.1-opus-20250805", - "name": "Anthropic: Claude Opus 4.1", - "created": 1754411591, - "cardDescription": "Claude Opus 4.1 is an updated version of Anthropic\u2019s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning. 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Your response will be priced at the same rate as the routed model.\n\nThe meta-model is powered by [Not Diamond](https://docs.notdiamond.ai/docs/how-not-diamond-works). 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Designed for vision-language tasks in English and Chinese, it is optimized for efficient scaling and can operate under 4-bit/8-bit quantization.", - "pricing": { - "prompt": "0.000000336", - "completion": "0.000001", - "request": "0", - "image": "0" - }, - "contextLength": 123000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "image", - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 123000, - "maxCompletionTokens": 16000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/bytedance-ui-tars-7b.json b/system-card/OpenRouterModel/bytedance-ui-tars-7b.json deleted file mode 100644 index a9b67f0..0000000 --- a/system-card/OpenRouterModel/bytedance-ui-tars-7b.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "bytedance/ui-tars-1.5-7b", - "canonicalSlug": "bytedance/ui-tars-1.5-7b", - "name": "ByteDance: UI-TARS 7B ", - "created": 1753205056, - "cardDescription": "UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. 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Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.", - "topProvider": { - "isModerated": false, - "contextLength": 163840, - "maxCompletionTokens": 65536 - }, - "architecture": { - "modality": "text->text", - "tokenizer": "DeepSeek", - "instructType": "", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ] - }, - "canonicalSlug": "deepseek/deepseek-v3.2-speciale-20251201", - "contextLength": 163840, - "perRequestLimits": { - "promptTokens": null, - "completionTokens": null - }, - "defaultParameters": { - "top_p": 0.95, - "max_tokens": null, - "temperature": 1, - "presence_penalty": null, - "frequency_penalty": null - }, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "logprobs", - "max_tokens", - "presence_penalty", - "reasoning", - "stop", - "temperature", - "top_logprobs", - "top_p" - ] - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - } - } - } -} diff --git a/system-card/OpenRouterModel/deepseek-deepseek-v3-2.json b/system-card/OpenRouterModel/deepseek-deepseek-v3-2.json deleted file mode 100644 index 20dc909..0000000 --- a/system-card/OpenRouterModel/deepseek-deepseek-v3-2.json +++ /dev/null @@ -1,71 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "deepseek/deepseek-v3.2", - "canonicalSlug": "deepseek/deepseek-v3.2-20251201", - "name": "DeepSeek: DeepSeek V3.2", - "created": 1764594642, - "cardDescription": "DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. 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Just like is predecessor, [LlamaGuard 1](https://huggingface.co/meta-llama/LlamaGuard-7b), it can do both prompt and response classification.\n\nLlamaGuard 2 acts as a normal LLM would, generating text that indicates whether the given input/output is safe/unsafe. If deemed unsafe, it will also share the content categories violated.\n\nFor best results, please use raw prompt input or the `/completions` endpoint, instead of the chat API.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "pricing": { - "prompt": "0.0000002", - "completion": "0.0000002", - "request": "0", - "image": "0" - }, - "contextLength": 8192, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "none" - }, - "topProvider": { - "isModerated": false, - "contextLength": 8192, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-mai-ds-r1.json b/system-card/OpenRouterModel/microsoft-mai-ds-r1.json deleted file mode 100644 index dd417da..0000000 --- a/system-card/OpenRouterModel/microsoft-mai-ds-r1.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/mai-ds-r1", - "canonicalSlug": "microsoft/mai-ds-r1", - "name": "Microsoft: MAI DS R1", - "created": 1745194100, - "cardDescription": "MAI-DS-R1 is a post-trained variant of DeepSeek-R1 developed by the Microsoft AI team to improve the model\u2019s responsiveness on previously blocked topics while enhancing its safety profile. 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The model is based on a transformer MoE architecture and is suitable for general-purpose use cases, excluding high-stakes domains such as legal, medical, or autonomous systems.", - "pricing": { - "prompt": "0.0000003", - "completion": "0.0000012", - "request": "0", - "image": "0" - }, - "contextLength": 163840, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "DeepSeek", - "instructType": "deepseek-r1" - }, - "topProvider": { - "isModerated": false, - "contextLength": 163840, - "maxCompletionTokens": 163840 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-3-5-mini-128k-instruct.json b/system-card/OpenRouterModel/microsoft-phi-3-5-mini-128k-instruct.json deleted file mode 100644 index abea161..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-3-5-mini-128k-instruct.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-3.5-mini-128k-instruct", - "canonicalSlug": "microsoft/phi-3.5-mini-128k-instruct", - "name": "Microsoft: Phi-3.5 Mini 128K Instruct", - "created": 1724198400, - "cardDescription": "Phi-3.5 models are lightweight, state-of-the-art open models. These models were trained with Phi-3 datasets that include both synthetic data and the filtered, publicly available websites data, with a focus on high quality and reasoning-dense properties. Phi-3.5 Mini uses 3.8B parameters, and is a dense decoder-only transformer model using the same tokenizer as [Phi-3 Mini](/models/microsoft/phi-3-mini-128k-instruct).\n\nThe models underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures. When assessed against benchmarks that test common sense, language understanding, math, code, long context and logical reasoning, Phi-3.5 models showcased robust and state-of-the-art performance among models with less than 13 billion parameters.", - "pricing": { - "prompt": "0.0000001", - "completion": "0.0000001", - "request": "0", - "image": "0" - }, - "contextLength": 128000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "phi3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 128000, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-3-medium-128k-instruct.json b/system-card/OpenRouterModel/microsoft-phi-3-medium-128k-instruct.json deleted file mode 100644 index 148dbe7..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-3-medium-128k-instruct.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-3-medium-128k-instruct", - "canonicalSlug": "microsoft/phi-3-medium-128k-instruct", - "name": "Microsoft: Phi-3 Medium 128K Instruct", - "created": 1716508800, - "cardDescription": "Phi-3 128K Medium is a powerful 14-billion parameter model designed for advanced language understanding, reasoning, and instruction following. Optimized through supervised fine-tuning and preference adjustments, it excels in tasks involving common sense, mathematics, logical reasoning, and code processing.\n\nAt time of release, Phi-3 Medium demonstrated state-of-the-art performance among lightweight models. In the MMLU-Pro eval, the model even comes close to a Llama3 70B level of performance.\n\nFor 4k context length, try [Phi-3 Medium 4K](/models/microsoft/phi-3-medium-4k-instruct).", - "pricing": { - "prompt": "0.000001", - "completion": "0.000001", - "request": "0", - "image": "0" - }, - "contextLength": 128000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "phi3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 128000, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-3-mini-128k-instruct.json b/system-card/OpenRouterModel/microsoft-phi-3-mini-128k-instruct.json deleted file mode 100644 index 48a4b44..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-3-mini-128k-instruct.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-3-mini-128k-instruct", - "canonicalSlug": "microsoft/phi-3-mini-128k-instruct", - "name": "Microsoft: Phi-3 Mini 128K Instruct", - "created": 1716681600, - "cardDescription": "Phi-3 Mini is a powerful 3.8B parameter model designed for advanced language understanding, reasoning, and instruction following. Optimized through supervised fine-tuning and preference adjustments, it excels in tasks involving common sense, mathematics, logical reasoning, and code processing.\n\nAt time of release, Phi-3 Medium demonstrated state-of-the-art performance among lightweight models. This model is static, trained on an offline dataset with an October 2023 cutoff date.", - "pricing": { - "prompt": "0.0000001", - "completion": "0.0000001", - "request": "0", - "image": "0" - }, - "contextLength": 128000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "phi3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 128000, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-4-multimodal-instruct.json b/system-card/OpenRouterModel/microsoft-phi-4-multimodal-instruct.json deleted file mode 100644 index 903e8dd..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-4-multimodal-instruct.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-4-multimodal-instruct", - "canonicalSlug": "microsoft/phi-4-multimodal-instruct", - "name": "Microsoft: Phi 4 Multimodal Instruct", - "created": 1741396284, - "cardDescription": "Phi-4 Multimodal Instruct is a versatile 5.6B parameter foundation model that combines advanced reasoning and instruction-following capabilities across both text and visual inputs, providing accurate text outputs. The unified architecture enables efficient, low-latency inference, suitable for edge and mobile deployments. Phi-4 Multimodal Instruct supports text inputs in multiple languages including Arabic, Chinese, English, French, German, Japanese, Spanish, and more, with visual input optimized primarily for English. It delivers impressive performance on multimodal tasks involving mathematical, scientific, and document reasoning, providing developers and enterprises a powerful yet compact model for sophisticated interactive applications. For more information, see the [Phi-4 Multimodal blog post](https://azure.microsoft.com/en-us/blog/empowering-innovation-the-next-generation-of-the-phi-family/).\n", - "pricing": { - "prompt": "0.00000005", - "completion": "0.0000001", - "request": "0", - "image": "0.00017685" - }, - "contextLength": 131072, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-4-reasoning-plus.json b/system-card/OpenRouterModel/microsoft-phi-4-reasoning-plus.json deleted file mode 100644 index 03e22c4..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-4-reasoning-plus.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-4-reasoning-plus", - "canonicalSlug": "microsoft/phi-4-reasoning-plus-04-30", - "name": "Microsoft: Phi 4 Reasoning Plus", - "created": 1746130961, - "cardDescription": "Phi-4-reasoning-plus is an enhanced 14B parameter model from Microsoft, fine-tuned from Phi-4 with additional reinforcement learning to boost accuracy on math, science, and code reasoning tasks. It uses the same dense decoder-only transformer architecture as Phi-4, but generates longer, more comprehensive outputs structured into a step-by-step reasoning trace and final answer.\n\nWhile it offers improved benchmark scores over Phi-4-reasoning across tasks like AIME, OmniMath, and HumanEvalPlus, its responses are typically ~50% longer, resulting in higher latency. Designed for English-only applications, it is well-suited for structured reasoning workflows where output quality takes priority over response speed.", - "pricing": { - "prompt": "0.00000007", - "completion": "0.00000035", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/microsoft-phi-4.json b/system-card/OpenRouterModel/microsoft-phi-4.json deleted file mode 100644 index f707908..0000000 --- a/system-card/OpenRouterModel/microsoft-phi-4.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "microsoft/phi-4", - "canonicalSlug": "microsoft/phi-4", - "name": "Microsoft: Phi 4", - "created": 1736489872, - "cardDescription": "[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. \n\nAt 14 billion parameters, it was trained on a mix of high-quality synthetic datasets, data from curated websites, and academic materials. It has undergone careful improvement to follow instructions accurately and maintain strong safety standards. It works best with English language inputs.\n\nFor more information, please see [Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905)\n", - "pricing": { - "prompt": "0.00000006", - "completion": "0.00000014", - "request": "0", - "image": "0" - }, - "contextLength": 16384, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 16384, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/minimax-minimax-01.json b/system-card/OpenRouterModel/minimax-minimax-01.json deleted file mode 100644 index 8208809..0000000 --- a/system-card/OpenRouterModel/minimax-minimax-01.json +++ /dev/null @@ -1,55 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "minimax/minimax-01", - "canonicalSlug": "minimax/minimax-01", - "name": "MiniMax: MiniMax-01", - "created": 1736915462, - "cardDescription": "MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens.\n\nThe text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the \u201cViT-MLP-LLM\u201d framework and is trained on top of the text model.\n\nTo read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2", - "pricing": { - "prompt": "0.0000002", - "completion": "0.0000011", - "request": "0", - "image": "0" - }, - "contextLength": 1000192, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 1000192, - "maxCompletionTokens": 1000192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "temperature", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/minimax-minimax-m1.json b/system-card/OpenRouterModel/minimax-minimax-m1.json deleted file mode 100644 index 7498b4c..0000000 --- a/system-card/OpenRouterModel/minimax-minimax-m1.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "minimax/minimax-m1", - "canonicalSlug": "minimax/minimax-m1", - "name": "MiniMax: MiniMax M1", - "created": 1750200414, - "cardDescription": "MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom \"lightning attention\" mechanism, allowing it to process long sequences\u2014up to 1 million tokens\u2014while maintaining competitive FLOP efficiency. With 456 billion total parameters and 45.9B active per token, this variant is optimized for complex, multi-step reasoning tasks.\n\nTrained via a custom reinforcement learning pipeline (CISPO), M1 excels in long-context understanding, software engineering, agentic tool use, and mathematical reasoning. Benchmarks show strong performance across FullStackBench, SWE-bench, MATH, GPQA, and TAU-Bench, often outperforming other open models like DeepSeek R1 and Qwen3-235B.", - "pricing": { - "prompt": "0.0000004", - "completion": "0.0000022", - "request": "0", - "image": "0" - }, - "contextLength": 1000000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 1000000, - "maxCompletionTokens": 40000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "seed", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/minimax-minimax-m2.json b/system-card/OpenRouterModel/minimax-minimax-m2.json deleted file mode 100644 index 1816a60..0000000 --- a/system-card/OpenRouterModel/minimax-minimax-m2.json +++ /dev/null @@ -1,74 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "minimax/minimax-m2", - "canonicalSlug": "minimax/minimax-m2", - "name": "MiniMax: MiniMax M2", - "created": 1761252093, - "cardDescription": "MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency.\n\nThe model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors.\n\nBenchmarked by [Artificial Analysis](https://artificialanalysis.ai/models/minimax-m2), MiniMax-M2 ranks among the top open-source models for composite intelligence, spanning mathematics, science, and instruction-following. Its small activation footprint enables fast inference, high concurrency, and improved unit economics, making it well-suited for large-scale agents, developer assistants, and reasoning-driven applications that require responsiveness and cost efficiency.\n\nTo avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. 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Recommended replacement is the newer [Ministral 8B](/mistral/ministral-8b)\n\nThis model is currently powered by Mistral-7B-v0.2, and incorporates a \"better\" fine-tuning than [Mistral 7B](/models/mistralai/mistral-7b-instruct-v0.1), inspired by community work. 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Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.", - "pricing": { - "prompt": "0.0000006", - "completion": "0.0000018", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/nvidia-llama-3-3-nemotron-super-49b-v1-5.json b/system-card/OpenRouterModel/nvidia-llama-3-3-nemotron-super-49b-v1-5.json deleted file mode 100644 index 7b4f3f2..0000000 --- a/system-card/OpenRouterModel/nvidia-llama-3-3-nemotron-super-49b-v1-5.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "nvidia/llama-3.3-nemotron-super-49b-v1.5", - "canonicalSlug": "nvidia/llama-3.3-nemotron-super-49b-v1.5", - "name": "NVIDIA: Llama 3.3 Nemotron Super 49B V1.5", - "created": 1760101395, - "cardDescription": "Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta\u2019s Llama-3.3-70B-Instruct with a 128K context. 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It autonomously searches, reads, and evaluates sources, refining its approach as it gathers information. This enables comprehensive report generation across domains like finance, technology, health, and current events.\n\nNotes on Pricing ([Source](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-deep-research)) \n- Input tokens comprise of Prompt tokens (user prompt) + Citation tokens (these are processed tokens from running searches)\n- Deep Research runs multiple searches to conduct exhaustive research. Searches are priced at $5/1000 searches. A request that does 30 searches will cost $0.15 in this step.\n- Reasoning is a distinct step in Deep Research since it does extensive automated reasoning through all the material it gathers during its research phase. Reasoning tokens here are a bit different than the CoTs in the answer - these are tokens that we use to reason through the research material prior to generating the outputs via the CoTs. 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It is designed for deeper reasoning and analysis. Pricing is based on tokens plus $18 per thousand requests. This model powers the Pro Search mode on the Perplexity platform.\n\nSonar Pro Search adds autonomous, multi-step reasoning to Sonar Pro. 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See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro)\n\nFor enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like double the number of citations per search as Sonar on average. Plus, with a larger context window, it can handle longer and more nuanced searches and follow-up questions. 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It excels in delivering optimal performance for a broader spectrum of complex tasks.\n", - "pricing": { - "prompt": "0.0000008", - "completion": "0.0000032", - "request": "0", - "image": "0.001024" - }, - "contextLength": 131072, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": 8192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "presence_penalty", - "response_format", - "seed", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen-vl-plus.json b/system-card/OpenRouterModel/qwen-qwen-vl-plus.json deleted file mode 100644 index b9ba4f6..0000000 --- a/system-card/OpenRouterModel/qwen-qwen-vl-plus.json +++ /dev/null @@ -1,58 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen-vl-plus", - "canonicalSlug": "qwen/qwen-vl-plus", - "name": "Qwen: Qwen VL Plus", - "created": 1738731255, - "cardDescription": "Qwen's Enhanced Large Visual Language Model. 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More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.\n\n- Long-context Support up to 128K tokens and can generate up to 8K tokens.\n\n- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.\n\nUsage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).", - "pricing": { - "prompt": "0.00000004", - "completion": "0.0000001", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "chatml" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen2-5-coder-7b-instruct.json b/system-card/OpenRouterModel/qwen-qwen2-5-coder-7b-instruct.json deleted file mode 100644 index 0629640..0000000 --- a/system-card/OpenRouterModel/qwen-qwen2-5-coder-7b-instruct.json +++ /dev/null @@ -1,60 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen2.5-coder-7b-instruct", - "canonicalSlug": "qwen/qwen2.5-coder-7b-instruct", - "name": "Qwen: Qwen2.5 Coder 7B Instruct", - "created": 1744734887, - "cardDescription": "Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. 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It excels at visual analysis tasks, including object recognition, textual interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code generation.", - "pricing": { - "prompt": "0.00000005", - "completion": "0.00000022", - "request": "0", - "image": "0" - }, - "contextLength": 16384, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 16384, - "maxCompletionTokens": 16384 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_logprobs", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen2-5-vl-72b-instruct.json b/system-card/OpenRouterModel/qwen-qwen2-5-vl-72b-instruct.json deleted file mode 100644 index 378a2d3..0000000 --- a/system-card/OpenRouterModel/qwen-qwen2-5-vl-72b-instruct.json +++ /dev/null @@ -1,65 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen2.5-vl-72b-instruct", - "canonicalSlug": "qwen/qwen2.5-vl-72b-instruct", - "name": "Qwen: Qwen2.5 VL 72B Instruct", - "created": 1738410311, - "cardDescription": "Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. 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It supports seamless switching between a \"thinking\" mode for tasks like math, programming, and logical inference, and a \"non-thinking\" mode for general-purpose conversation. The model is fine-tuned for instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.", - "pricing": { - "prompt": "0.00000005", - "completion": "0.00000022", - "request": "0", - "image": "0" - }, - "contextLength": 40960, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen3", - "instructType": "qwen3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 40960, - "maxCompletionTokens": 40960 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-free.json b/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-free.json deleted file mode 100644 index 03205f6..0000000 --- a/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-free.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen3-235b-a22b:free", - "canonicalSlug": "qwen/qwen3-235b-a22b-04-28", - "name": "Qwen: Qwen3 235B A22B (free)", - "created": 1745875757, - "cardDescription": "Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. 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It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.", - "pricing": { - "prompt": "0.000000072", - "completion": "0.000000464", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": 16384 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_logprobs", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-thinking-2507.json b/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-thinking-2507.json deleted file mode 100644 index 29d40a3..0000000 --- a/system-card/OpenRouterModel/qwen-qwen3-235b-a22b-thinking-2507.json +++ /dev/null @@ -1,68 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen3-235b-a22b-thinking-2507", - "canonicalSlug": "qwen/qwen3-235b-a22b-thinking-2507", - "name": "Qwen: Qwen3 235B A22B Thinking 2507", - "created": 1753449557, - "cardDescription": "Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. 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It\u2019s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic planning, and reports strong results across knowledge, reasoning, coding, alignment, and multilingual evaluations. Compared with prior Qwen3 variants, it emphasizes stability under long chains of thought and efficient scaling during inference, and it is tuned to follow complex instructions while reducing repetitive or off-task behavior.\n\nThe model is suitable for agent frameworks and tool use (function calling), retrieval-heavy workflows, and standardized benchmarking where step-by-step solutions are required. It supports long, detailed completions and leverages throughput-oriented techniques (e.g., multi-token prediction) for faster generation. 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Text performance matches flagship Qwen3 models, suiting document AI, OCR, UI assistance, spatial tasks, and agent research.", - "pricing": { - "prompt": "0.00000016", - "completion": "0.0000008", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "text", - "image" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": 32768 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": { - "temperature": 0.8, - "top_p": 0.95 - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen3-vl-8b-instruct.json b/system-card/OpenRouterModel/qwen-qwen3-vl-8b-instruct.json deleted file mode 100644 index 9025f85..0000000 --- a/system-card/OpenRouterModel/qwen-qwen3-vl-8b-instruct.json +++ /dev/null @@ -1,71 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen3-vl-8b-instruct", - "canonicalSlug": "qwen/qwen3-vl-8b-instruct", - "name": "Qwen: Qwen3 VL 8B Instruct", - "created": 1760463308, - "cardDescription": "Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization.\n\nThe model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.", - "pricing": { - "prompt": "0.000000064", - "completion": "0.0000004", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "image", - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": 32768 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": { - "temperature": 0.7, - "top_p": 0.8, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwen3-vl-8b-thinking.json b/system-card/OpenRouterModel/qwen-qwen3-vl-8b-thinking.json deleted file mode 100644 index 6412f13..0000000 --- a/system-card/OpenRouterModel/qwen-qwen3-vl-8b-thinking.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen3-vl-8b-thinking", - "canonicalSlug": "qwen/qwen3-vl-8b-thinking", - "name": "Qwen: Qwen3 VL 8B Thinking", - "created": 1760463746, - "cardDescription": "Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs.\n\nCompared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.", - "pricing": { - "prompt": "0.00000018", - "completion": "0.0000021", - "request": "0", - "image": "0" - }, - "contextLength": 256000, - "architecture": { - "modality": "text+image->text", - "inputModalities": [ - "image", - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 256000, - "maxCompletionTokens": 32768 - }, - "perRequestLimits": null, - "supportedParameters": [ - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "response_format", - "seed", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "defaultParameters": { - "temperature": 1, - "top_p": 0.95 - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen-qwq-32b.json b/system-card/OpenRouterModel/qwen-qwq-32b.json deleted file mode 100644 index b4d6420..0000000 --- a/system-card/OpenRouterModel/qwen-qwq-32b.json +++ /dev/null @@ -1,68 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwq-32b", - "canonicalSlug": "qwen/qwq-32b", - "name": "Qwen: QwQ 32B", - "created": 1741208814, - "cardDescription": "QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.", - "pricing": { - "prompt": "0.00000015", - "completion": "0.0000004", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "qwq" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "include_reasoning", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen2-5-72b-instruct.json b/system-card/OpenRouterModel/qwen2-5-72b-instruct.json deleted file mode 100644 index 46cc641..0000000 --- a/system-card/OpenRouterModel/qwen2-5-72b-instruct.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen-2.5-72b-instruct", - "canonicalSlug": "qwen/qwen-2.5-72b-instruct", - "name": "Qwen2.5 72B Instruct", - "created": 1726704000, - "cardDescription": "Qwen2.5 72B is the latest series of Qwen large language models. 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More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.\n\n- Long-context Support up to 128K tokens and can generate up to 8K tokens.\n\n- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.\n\nUsage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).", - "pricing": { - "prompt": "0.00000007", - "completion": "0.00000026", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "chatml" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": 32768 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/qwen2-5-coder-32b-instruct.json b/system-card/OpenRouterModel/qwen2-5-coder-32b-instruct.json deleted file mode 100644 index 144c3cc..0000000 --- a/system-card/OpenRouterModel/qwen2-5-coder-32b-instruct.json +++ /dev/null @@ -1,64 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "qwen/qwen-2.5-coder-32b-instruct", - "canonicalSlug": "qwen/qwen-2.5-coder-32b-instruct", - "name": "Qwen2.5 Coder 32B Instruct", - "created": 1731368400, - "cardDescription": "Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:\n\n- Significantly improvements in **code generation**, **code reasoning** and **code fixing**. \n- A more comprehensive foundation for real-world applications such as **Code Agents**. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies.\n\nTo read more about its evaluation results, check out [Qwen 2.5 Coder's blog](https://qwenlm.github.io/blog/qwen2.5-coder-family/).", - "pricing": { - "prompt": "0.00000003", - "completion": "0.00000011", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Qwen", - "instructType": "chatml" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": 32768 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/relace-relace-apply-3.json b/system-card/OpenRouterModel/relace-relace-apply-3.json deleted file mode 100644 index eb997f2..0000000 --- a/system-card/OpenRouterModel/relace-relace-apply-3.json +++ /dev/null @@ -1,58 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "relace/relace-apply-3", - "canonicalSlug": "relace/relace-apply-3", - "name": "Relace: Relace Apply 3", - "created": 1758891572, - "cardDescription": "Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 10,000 tokens/sec on average.\n\nThe model requires the prompt to be in the following format: \n{instruction}\n{initial_code}\n{edit_snippet}\n\nZero Data Retention is enabled for Relace. Learn more about this model in their [documentation](https://docs.relace.ai/api-reference/instant-apply/apply)", - "pricing": { - "prompt": "0.00000085", - "completion": "0.00000125", - "request": "0", - "image": "0" - }, - "contextLength": 256000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 256000, - "maxCompletionTokens": 128000 - }, - "perRequestLimits": null, - "supportedParameters": [ - "max_tokens", - "seed", - "stop" - ], - "defaultParameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/remm-slerp-13b.json b/system-card/OpenRouterModel/remm-slerp-13b.json deleted file mode 100644 index da8596a..0000000 --- a/system-card/OpenRouterModel/remm-slerp-13b.json +++ /dev/null @@ -1,67 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "undi95/remm-slerp-l2-13b", - "canonicalSlug": "undi95/remm-slerp-l2-13b", - "name": "ReMM SLERP 13B", - "created": 1689984000, - "cardDescription": "A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge", - "pricing": { - "prompt": "0.00000045", - "completion": "0.00000065", - "request": "0", - "image": "0" - }, - "contextLength": 6144, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama2", - "instructType": "alpaca" - }, - "topProvider": { - "isModerated": false, - "contextLength": 6144, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_a", - "top_k", - "top_logprobs", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sao10k-llama-3-1-70b-hanami-x1.json b/system-card/OpenRouterModel/sao10k-llama-3-1-70b-hanami-x1.json deleted file mode 100644 index c3e44d2..0000000 --- a/system-card/OpenRouterModel/sao10k-llama-3-1-70b-hanami-x1.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "sao10k/l3.1-70b-hanami-x1", - "canonicalSlug": "sao10k/l3.1-70b-hanami-x1", - "name": "Sao10K: Llama 3.1 70B Hanami x1", - "created": 1736302854, - "cardDescription": "This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).", - "pricing": { - "prompt": "0.000003", - "completion": "0.000003", - "request": "0", - "image": "0" - }, - "contextLength": 16000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 16000, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sao10k-llama-3-1-euryale-70b-v2-2.json b/system-card/OpenRouterModel/sao10k-llama-3-1-euryale-70b-v2-2.json deleted file mode 100644 index 7e8f29b..0000000 --- a/system-card/OpenRouterModel/sao10k-llama-3-1-euryale-70b-v2-2.json +++ /dev/null @@ -1,65 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "sao10k/l3.1-euryale-70b", - "canonicalSlug": "sao10k/l3.1-euryale-70b", - "name": "Sao10K: Llama 3.1 Euryale 70B v2.2", - "created": 1724803200, - "cardDescription": "Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).", - "pricing": { - "prompt": "0.00000065", - "completion": "0.00000075", - "request": "0", - "image": "0" - }, - "contextLength": 32768, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "llama3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 32768, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sao10k-llama-3-3-euryale-70b.json b/system-card/OpenRouterModel/sao10k-llama-3-3-euryale-70b.json deleted file mode 100644 index d14acb9..0000000 --- a/system-card/OpenRouterModel/sao10k-llama-3-3-euryale-70b.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "sao10k/l3.3-euryale-70b", - "canonicalSlug": "sao10k/l3.3-euryale-70b-v2.3", - "name": "Sao10K: Llama 3.3 Euryale 70B", - "created": 1734535928, - "cardDescription": "Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).", - "pricing": { - "prompt": "0.00000065", - "completion": "0.00000075", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "llama3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": 16384 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sao10k-llama-3-8b-lunaris.json b/system-card/OpenRouterModel/sao10k-llama-3-8b-lunaris.json deleted file mode 100644 index a9b5541..0000000 --- a/system-card/OpenRouterModel/sao10k-llama-3-8b-lunaris.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "sao10k/l3-lunaris-8b", - "canonicalSlug": "sao10k/l3-lunaris-8b", - "name": "Sao10K: Llama 3 8B Lunaris", - "created": 1723507200, - "cardDescription": "Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge.\n\nCreated by [Sao10k](https://huggingface.co/Sao10k), this model aims to offer an improved experience over Stheno v3.2, with enhanced creativity and logical reasoning.\n\nFor best results, use with Llama 3 Instruct context template, temperature 1.4, and min_p 0.1.", - "pricing": { - "prompt": "0.00000004", - "completion": "0.00000005", - "request": "0", - "image": "0" - }, - "contextLength": 8192, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "llama3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 8192, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sao10k-llama-3-euryale-70b-v2-1.json b/system-card/OpenRouterModel/sao10k-llama-3-euryale-70b-v2-1.json deleted file mode 100644 index 57b4bd3..0000000 --- a/system-card/OpenRouterModel/sao10k-llama-3-euryale-70b-v2-1.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "sao10k/l3-euryale-70b", - "canonicalSlug": "sao10k/l3-euryale-70b", - "name": "Sao10k: Llama 3 Euryale 70B v2.1", - "created": 1718668800, - "cardDescription": "Euryale 70B v2.1 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k).\n\n- Better prompt adherence.\n- Better anatomy / spatial awareness.\n- Adapts much better to unique and custom formatting / reply formats.\n- Very creative, lots of unique swipes.\n- Is not restrictive during roleplays.", - "pricing": { - "prompt": "0.00000148", - "completion": "0.00000148", - "request": "0", - "image": "0" - }, - "contextLength": 8192, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Llama3", - "instructType": "llama3" - }, - "topProvider": { - "isModerated": false, - "contextLength": 8192, - "maxCompletionTokens": 8192 - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "max_tokens", - "presence_penalty", - "repetition_penalty", - "seed", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/sorcererlm-8x22b.json b/system-card/OpenRouterModel/sorcererlm-8x22b.json deleted file mode 100644 index 2c38216..0000000 --- a/system-card/OpenRouterModel/sorcererlm-8x22b.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "raifle/sorcererlm-8x22b", - "canonicalSlug": "raifle/sorcererlm-8x22b", - "name": "SorcererLM 8x22B", - "created": 1731105083, - "cardDescription": "SorcererLM is an advanced RP and storytelling model, built as a Low-rank 16-bit LoRA fine-tuned on [WizardLM-2 8x22B](/microsoft/wizardlm-2-8x22b).\n\n- Advanced reasoning and emotional intelligence for engaging and immersive interactions\n- Vivid writing capabilities enriched with spatial and contextual awareness\n- Enhanced narrative depth, promoting creative and dynamic storytelling", - "pricing": { - "prompt": "0.0000045", - "completion": "0.0000045", - "request": "0", - "image": "0" - }, - "contextLength": 16000, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Mistral", - "instructType": "vicuna" - }, - "topProvider": { - "isModerated": false, - "contextLength": 16000, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/stepfun-step3.json b/system-card/OpenRouterModel/stepfun-step3.json deleted file mode 100644 index 99dd20d..0000000 --- a/system-card/OpenRouterModel/stepfun-step3.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "stepfun-ai/step3", - "canonicalSlug": "stepfun-ai/step3", - "name": "StepFun: Step3", - "created": 1756415375, - "cardDescription": "Step3 is a cutting-edge multimodal reasoning model\u2014built on a Mixture-of-Experts architecture with 321B total parameters and 38B active. It is designed end-to-end to minimize decoding costs while delivering top-tier performance in vision\u2013language reasoning. 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It's powered by the full routing engine from [Switchpoint AI](https://www.switchpoint.dev).", - "pricing": { - "prompt": "0.00000085", - "completion": "0.0000034", - "request": "0", - "image": "0" - }, - "contextLength": 131072, - "architecture": { - "modality": "text->text", - "inputModalities": [ - "text" - ], - "outputModalities": [ - "text" - ], - "tokenizer": "Other", - "instructType": "" - }, - "topProvider": { - "isModerated": false, - "contextLength": 131072, - "maxCompletionTokens": null - }, - "perRequestLimits": null, - "supportedParameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "defaultParameters": {}, - "cardInfo": { - "name": null, - "summary": null, - "cardThumbnailURL": null, - "notes": null - } - }, - "meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/OpenRouterModel/tencent-hunyuan-a13b-instruct.json b/system-card/OpenRouterModel/tencent-hunyuan-a13b-instruct.json deleted file mode 100644 index 1ac0c30..0000000 --- a/system-card/OpenRouterModel/tencent-hunyuan-a13b-instruct.json +++ /dev/null @@ -1,59 +0,0 @@ -{ - "data": { - "type": "card", - "attributes": { - "modelId": "tencent/hunyuan-a13b-instruct", - "canonicalSlug": "tencent/hunyuan-a13b-instruct", - "name": "Tencent: Hunyuan A13B Instruct", - "created": 1751987664, - "cardDescription": "Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. 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"meta": { - "adoptsFrom": { - "module": "../openrouter-model", - "name": "OpenRouterModel" - } - } - } -} diff --git a/system-card/RecommendedModel/25c01c7f-73bd-4c00-a6d5-76e0574d383a.json b/system-card/RecommendedModel/25c01c7f-73bd-4c00-a6d5-76e0574d383a.json deleted file mode 100644 index 6fbc179..0000000 --- a/system-card/RecommendedModel/25c01c7f-73bd-4c00-a6d5-76e0574d383a.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "", - "cardInfo": { - "notes": null, - "name": null, - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "none" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/google-gemini-2-5-flash" - } - } - } - } -} diff --git a/system-card/RecommendedModel/37533a45-5b7a-4cfd-a169-a46976e155be.json b/system-card/RecommendedModel/37533a45-5b7a-4cfd-a169-a46976e155be.json deleted file mode 100644 index 1b65feb..0000000 --- a/system-card/RecommendedModel/37533a45-5b7a-4cfd-a169-a46976e155be.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "code", - "cardInfo": { - "notes": null, - "name": null, - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "none" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/anthropic-claude-sonnet-4-5" - } - } - } - } -} diff --git a/system-card/RecommendedModel/3a455b7a-ecfd-4169-a469-76e155bec2d5.json b/system-card/RecommendedModel/3a455b7a-ecfd-4169-a469-76e155bec2d5.json deleted file mode 100644 index 3ea0f41..0000000 --- a/system-card/RecommendedModel/3a455b7a-ecfd-4169-a469-76e155bec2d5.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "chat", - "cardInfo": { - "notes": null, - "name": "", - "summary": "", - "cardThumbnailURL": null - }, - "thinkingEffort": "none" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/anthropic-claude-haiku-4-5" - } - } - } - } -} diff --git a/system-card/RecommendedModel/630df4a0-0c04-4902-ab65-f7353e994e6f.json b/system-card/RecommendedModel/630df4a0-0c04-4902-ab65-f7353e994e6f.json deleted file mode 100644 index fa0eb1a..0000000 --- a/system-card/RecommendedModel/630df4a0-0c04-4902-ab65-f7353e994e6f.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "", - "cardInfo": { - "notes": null, - "name": null, - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "minimal" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/openai-gpt-5" - } - } - } - } -} diff --git a/system-card/RecommendedModel/b752630d-f4a0-4c04-b902-ab65f7353e99.json b/system-card/RecommendedModel/b752630d-f4a0-4c04-b902-ab65f7353e99.json deleted file mode 100644 index 14c8744..0000000 --- a/system-card/RecommendedModel/b752630d-f4a0-4c04-b902-ab65f7353e99.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "design", - "cardInfo": { - "notes": null, - "name": null, - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "low" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/google-gemini-3-pro-preview" - } - } - } - } -} diff --git a/system-card/RecommendedModel/bda2b752-630d-44a0-8c04-f902ab65f735.json b/system-card/RecommendedModel/bda2b752-630d-44a0-8c04-f902ab65f735.json deleted file mode 100644 index 661162a..0000000 --- a/system-card/RecommendedModel/bda2b752-630d-44a0-8c04-f902ab65f735.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "debug", - "cardInfo": { - "notes": null, - "name": "", - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "medium" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/openai-gpt-5-codex" - } - } - } - } -} diff --git a/system-card/RecommendedModel/c60d1dfa-ada2-4060-ba67-e9c8795ad226.json b/system-card/RecommendedModel/c60d1dfa-ada2-4060-ba67-e9c8795ad226.json deleted file mode 100644 index 9190155..0000000 --- a/system-card/RecommendedModel/c60d1dfa-ada2-4060-ba67-e9c8795ad226.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "data": { - "meta": { - "adoptsFrom": { - "name": "RecommendedModel", - "module": "../recommended-model" - } - }, - "type": "card", - "attributes": { - "purpose": "", - "cardInfo": { - "notes": null, - "name": null, - "summary": null, - "cardThumbnailURL": null - }, - "thinkingEffort": "medium" - }, - "relationships": { - "cardInfo.theme": { - "links": { - "self": null - } - }, - "modelConfiguration": { - "links": { - "self": "../OpenRouterModel/anthropic-claude-opus-4-5" - } - } - } - } -} diff --git a/system-card/model-configuration.gts b/system-card/model-configuration.gts deleted file mode 100644 index 9de2874..0000000 --- a/system-card/model-configuration.gts +++ /dev/null @@ -1,1105 +0,0 @@ -import { eq } from '@cardstack/boxel-ui/helpers'; -import { ModelConfiguration as BaseModelConfiguration } from 'https://cardstack.com/base/system-card'; -import { - field, - contains, - containsMany, - linksTo, - Component, -} from 'https://cardstack.com/base/card-api'; -import StringField from 'https://cardstack.com/base/string'; -import NumberField from 'https://cardstack.com/base/number'; -import BooleanField from 'https://cardstack.com/base/boolean'; -import enumField from 'https://cardstack.com/base/enum'; -import { OpenRouterModel } from '@cardstack/openrouter/openrouter-model'; - -const PurposeField = enumField(StringField, { - options: [ - { value: '', label: '(No specific purpose)' }, - { value: 'code', label: 'Code' }, - { value: 'design', label: 'Design' }, - { value: 'debug', label: 'Debug' }, - { value: 'chat', label: 'Chat' }, - ], -}); - -const TRAILING_ZERO_DECIMAL_RE = new RegExp('\\.0$'); - -export class ModelConfiguration extends BaseModelConfiguration { - static displayName = 'Model Configuration'; - - @field openRouterModel = linksTo(OpenRouterModel); - - @field purpose = contains(PurposeField); - - @field contextLength = contains(NumberField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.contextLength ?? null; - } catch (e) { - return null; - } - }, - }); - - @field canonicalSlug = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.canonicalSlug ?? null; - } catch (e) { - return null; - } - }, - }); - - @field name = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.name ?? null; - } catch (e) { - return null; - } - }, - }); - - @field modelId = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.modelId ?? null; - } catch (e) { - return null; - } - }, - }); - - @field toolsSupported = contains(BooleanField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.toolsSupported ?? false; - } catch (e) { - return false; - } - }, - }); - - @field inputModalities = containsMany(StringField, { - computeVia: function (this: ModelConfiguration) { - try { - return this.openRouterModel?.inputModalities ?? []; - } catch (e) { - return []; - } - }, - }); - - @field cardTitle = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - let fullModelName = ''; - let modelName = ''; - - try { - fullModelName = this.openRouterModel?.name ?? ''; - if (fullModelName) { - const parts = fullModelName.split(':'); - if (parts.length > 1) { - modelName = parts[1].trim(); - } else { - modelName = fullModelName.trim(); - } - } - } catch (e) { - fullModelName = ''; - } - - const hasRoleSpecificPurpose = this.purpose && this.purpose !== ''; - - if (hasRoleSpecificPurpose) { - const purposeEmojis: { [key: string]: string } = { - code: '\u{1F4BB}', - design: '\u{1F3A8}', - debug: '\u{1F527}', - chat: '\u{1F4AC}', - }; - const emoji = purposeEmojis[this.purpose] || '\u{1F4AC}'; - const purposeLabel = - this.purpose.charAt(0).toUpperCase() + this.purpose.slice(1); - const purposeSegment = emoji + ' ' + purposeLabel + '\u30FB'; - const modelSegment = modelName || fullModelName || 'Model'; - const thinkingSuffix = this.reasoningEffort ? '\u30FBThinking' : ''; - const autoTitle = purposeSegment + modelSegment + thinkingSuffix; - return this.cardInfo?.name || autoTitle; - } - - if (fullModelName) { - const thinkingSuffix = this.reasoningEffort ? '\u30FBThinking' : ''; - const autoTitle = '\u2713 ' + fullModelName + thinkingSuffix; - return this.cardInfo?.name || autoTitle; - } - - return ( - this.cardInfo?.name || - this.modelId || - 'Model Configuration' - ); - }, - }); - - @field leftBadge = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - if (this.purpose && this.purpose !== '') { - return this.purpose.toUpperCase(); - } - if (this.openRouterModel) { - return 'RECOMMENDED'; - } - return ''; - }, - }); - - @field leftBadgeVariant = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - if (this.purpose && this.purpose !== '') { - return 'purpose'; - } - if (this.openRouterModel) { - return 'recommended-badge'; - } - return ''; - }, - }); - - @field rightBadge = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - if (!this.openRouterModel) { - return ''; - } - if (this.reasoningEffort) { - return '\u{1F4A1}'; - } - return '\u26A1'; - }, - }); - - @field rightBadgeVariant = contains(StringField, { - computeVia: function (this: ModelConfiguration) { - if (!this.openRouterModel) { - return ''; - } - return 'recommended'; - }, - }); - -} - -function formatContext(num: number | undefined): string { - if (num == null) return '\u2014'; - if (num >= 1000000) { - let val = (num / 1000000).toFixed(1).replace(TRAILING_ZERO_DECIMAL_RE, ''); - return val + 'M'; - } - if (num >= 1000) { - return (num / 1000).toFixed(0) + 'K'; - } - return num.toLocaleString('en-US'); -} - -const PURPOSE_LABELS: Record = { - code: 'Code Generation', - design: 'Design', - debug: 'Debugging', - chat: 'Chat / General', -}; - -const REASONING_EFFORT_LABELS: Record = { - minimal: 'Minimal', - low: 'Low', - medium: 'Medium', - high: 'High', - xhigh: 'Extra High', -}; - -class ModelConfigurationIsolated extends Component { - get purposeLabel(): string { - return PURPOSE_LABELS[this.args.model.purpose ?? ''] ?? ''; - } - - get reasoningEffortLabel(): string { - return REASONING_EFFORT_LABELS[this.args.model.reasoningEffort ?? ''] ?? 'Not Specified'; - } - - -} - -class ModelConfigurationFitted extends Component { - get leftBadgeTitle(): string { - let variant = this.args.model.leftBadgeVariant; - if (variant === 'purpose') { - return 'Assigned purpose for this model configuration'; - } - if (variant === 'recommended-badge') { - return 'Linked to a verified OpenRouter model'; - } - return ''; - } - - get rightBadgeTitle(): string { - if (this.args.model.reasoningEffort) { - return 'Reasoning enabled — uses extended thinking'; - } - if (this.args.model.openRouterModel) { - return 'Verified — linked to OpenRouter model'; - } - return ''; - } - - formatContext(num: number | undefined): string { - if (!num) return '\u2014'; - if (num >= 1000000) { - return ( - (num / 1000000).toFixed(1).replace(TRAILING_ZERO_DECIMAL_RE, '') + - 'M' - ); - } - if (num >= 1000) { - return (num / 1000).toFixed(0) + 'K'; - } - return num.toLocaleString('en-US'); - } - - -} - -ModelConfiguration.isolated = ModelConfigurationIsolated; -ModelConfiguration.fitted = ModelConfigurationFitted; diff --git a/system-card/model-updater.gts b/system-card/model-updater.gts deleted file mode 100644 index a5a17c7..0000000 --- a/system-card/model-updater.gts +++ /dev/null @@ -1,888 +0,0 @@ -import { and, not } from '@cardstack/boxel-ui/helpers'; // ²⁶ Added gt helper -import { - CardDef, - Component, - field, - contains, -} from 'https://cardstack.com/base/card-api'; -import StringField from 'https://cardstack.com/base/string'; -import NumberField from 'https://cardstack.com/base/number'; -import { restartableTask } from 'ember-concurrency'; -import { Button } from '@cardstack/boxel-ui/components'; -import { on } from '@ember/modifier'; -import SendRequestViaProxyCommand from '@cardstack/boxel-host/commands/send-request-via-proxy'; -import WriteTextFileCommand from '@cardstack/boxel-host/commands/write-text-file'; -import { type Query } from '@cardstack/runtime-common'; // ²⁸ Added query support -import { - OpenRouterModel, - OpenRouterPricing, - OpenRouterArchitecture, - OpenRouterTopProvider, - OpenRouterPerRequestLimits, - OpenRouterDefaultParameters, -} from './openrouter-model'; -import { tracked } from '@glimmer/tracking'; - -class Isolated extends Component { - @tracked isProcessing = false; - @tracked statusMessage = ''; - @tracked errorMessage = ''; - @tracked processedCount = 0; - @tracked totalCount = 0; - @tracked existingModels: string[] = []; - @tracked newModels: string[] = []; - @tracked modelsToUpdate: string[] = []; - @tracked isCheckingNew = false; - @tracked modelSearchQuery = ''; // ²⁹ Search query state - @tracked comparisonLog: string[] = []; // ³⁴ Log of comparison process - - get hasStatusMessage() { - return new Boolean(this.statusMessage && this.statusMessage.length > 0); - } - - private buildSlug(value: string | null | undefined): string | null { - if (!value) { - return null; - } - - return value - .toLowerCase() - .trim() - .replace(/[^a-z0-9]+/g, '-') - .replace(/-+/g, '-') - .replace(/^-+|-+$/g, ''); - } - - private getCandidateSlugs(model: { - id?: string; - name?: string; - canonical_slug?: string; - canonicalSlug?: string; - }): string[] { - const ordered: string[] = []; - const seen = new Set(); - - const pushSlug = (slug: string | null | undefined) => { - if (!slug) { - return; - } - - const normalized = slug - .trim() - .replace(/-+/g, '-') - .replace(/^-+|-+$/g, ''); - - if (!normalized) { - return; - } - - if (!seen.has(normalized)) { - seen.add(normalized); - ordered.push(normalized); - } - }; - - const addVariants = (raw: string | null | undefined) => { - if (!raw) { - return; - } - - const trimmed = raw.trim(); - if (!trimmed) { - return; - } - - const variants: Array = [ - this.buildSlug(trimmed), - trimmed.toLowerCase().replace(/[^a-z0-9]+/g, '-'), - trimmed.replace(/[^a-zA-Z0-9]+/g, '-'), - trimmed.toLowerCase().replace(/\//g, '-'), - trimmed.replace(/\//g, '-'), - trimmed.toLowerCase(), - trimmed, - ]; - - for (const variant of variants) { - pushSlug(variant); - } - }; - - addVariants(model?.name); - addVariants(model?.canonical_slug ?? (model as any)?.canonicalSlug); - addVariants(model?.id); - - return ordered; - } - - get modelSearchQuery_computed(): Query { - const baseFilter: any = { - type: { - module: new URL('./openrouter-model', import.meta.url).href, - name: 'OpenRouterModel', - }, - }; - - // Only add contains filter if there's a search query - if (this.modelSearchQuery) { - return { - filter: { - every: [ - baseFilter, - { - on: { - module: new URL('./openrouter-model', import.meta.url).href, - name: 'OpenRouterModel', - }, - contains: { name: this.modelSearchQuery }, - }, - ], - }, - sort: [ - { - by: 'name', - on: { - module: new URL('./openrouter-model', import.meta.url).href, - name: 'OpenRouterModel', - }, - direction: 'asc', - }, - ], - }; - } - - // When no search query, just filter by type - return { - filter: baseFilter, - sort: [ - { - by: 'name', - on: { - module: new URL('./openrouter-model', import.meta.url).href, - name: 'OpenRouterModel', - }, - direction: 'asc', - }, - ], - }; - } - - get realms() { - const realm = this.args.model.targetRealm; - return realm ? [realm] : []; - } - - updateModelSearch = (event: Event) => { - const target = event.target as HTMLInputElement; - this.modelSearchQuery = target.value; - }; - - clearModelSearch = () => { - this.modelSearchQuery = ''; - }; - - private updateModels = restartableTask(async () => { - this.isProcessing = true; - this.errorMessage = ''; - this.statusMessage = 'Starting update...'; - this.processedCount = 0; - this.totalCount = 0; - - try { - const targetRealm = this.args.model.targetRealm; - if (!targetRealm) { - this.errorMessage = 'Please set a target realm URL first'; - return; - } - - this.statusMessage = 'Fetching models from OpenRouter API...'; - console.log('[DEBUG] Sending request to OpenRouter API...'); - console.log('[DEBUG] URL: https://openrouter.ai/api/v1/models'); - - if (!this.args.context || !this.args.context.commandContext) { - throw new Error('Missing command context for proxy request'); - } - - const response = await new SendRequestViaProxyCommand( - this.args.context.commandContext, - ).execute({ - url: 'https://openrouter.ai/api/v1/models', - method: 'GET', - headers: { - 'Content-Type': 'application/json', - 'HTTP-Referer': 'https://realms-staging.stack.cards', - 'X-Title': 'Boxel OpenRouter Model Updater', - }, - }); - - console.log('[DEBUG] Response status:', response.response.status); - console.log('[DEBUG] Response ok:', response.response.ok); - - if (!response.response.ok) { - // Try to get response body for more details - let errorBody = ''; - try { - errorBody = await response.response.text(); - console.log('[DEBUG] Error response body:', errorBody); - } catch (e) { - console.log('[DEBUG] Could not read error response body'); - } - - throw new Error( - `OpenRouter API request failed: ${response.response.status}${ - errorBody ? ` - ${errorBody}` : '' - }`, - ); - } - - const data = await response.response.json(); - const models = data.data || []; - this.totalCount = models.length; - - this.statusMessage = `Found ${models.length} models. Processing...`; - const errors: string[] = []; - - for (let i = 0; i < models.length; i++) { - const apiModel = models[i]; - this.statusMessage = `Processing model ${i + 1}/${models.length}: ${ - apiModel.name || apiModel.id - }`; - console.debug( - '[DEBUG] Beginning processing for model', - apiModel.id || apiModel.name, - `(${i + 1}/${models.length})`, - ); - - let cardPath: string | undefined; - let finalSlug: string | undefined; - - try { - // Create new card instance - will overwrite if exists - const modelCard = new OpenRouterModel(); - - const candidateSlugs = this.getCandidateSlugs(apiModel); - if (!candidateSlugs.length && apiModel?.id) { - candidateSlugs.push(apiModel.id.replace(/\//g, '-')); - } - if (!candidateSlugs.length) { - candidateSlugs.push('model'); - } - - const slugToUse = candidateSlugs[0] ?? 'model'; - const workingModelCard = modelCard; - - workingModelCard.modelId = apiModel.id; - workingModelCard.canonicalSlug = apiModel.canonical_slug; - workingModelCard.name = apiModel.name; - workingModelCard.created = apiModel.created; - workingModelCard.cardDescription = apiModel.description || ''; - workingModelCard.contextLength = apiModel.context_length; - - if (apiModel.pricing) { - const pricing = new OpenRouterPricing(this); - pricing.prompt = String(apiModel.pricing.prompt || '0'); - pricing.completion = String(apiModel.pricing.completion || '0'); - pricing.request = String(apiModel.pricing.request || '0'); - pricing.image = String(apiModel.pricing.image || '0'); - workingModelCard.pricing = pricing; - } - - if (apiModel.architecture) { - const arch = new OpenRouterArchitecture(this); - arch.modality = apiModel.architecture.modality || ''; - arch.tokenizer = apiModel.architecture.tokenizer || ''; - arch.instructType = apiModel.architecture.instruct_type || ''; - arch.inputModalities = apiModel.architecture.input_modalities || []; - arch.outputModalities = - apiModel.architecture.output_modalities || []; - workingModelCard.architecture = arch; - } - - if (apiModel.top_provider) { - const provider = new OpenRouterTopProvider(this); - provider.isModerated = apiModel.top_provider.is_moderated || false; - provider.contextLength = apiModel.top_provider.context_length; - provider.maxCompletionTokens = - apiModel.top_provider.max_completion_tokens; - workingModelCard.topProvider = provider; - } - - if (apiModel.per_request_limits) { - const limits = new OpenRouterPerRequestLimits(this); - limits.promptTokens = apiModel.per_request_limits.prompt_tokens; - limits.completionTokens = - apiModel.per_request_limits.completion_tokens; - workingModelCard.perRequestLimits = limits; - } - - workingModelCard.supportedParameters = - apiModel.supported_parameters || []; - - if (apiModel.default_parameters) { - const defaults = new OpenRouterDefaultParameters(this); - defaults.temperature = apiModel.default_parameters.temperature; - defaults.top_p = apiModel.default_parameters.top_p; - defaults.max_tokens = apiModel.default_parameters.max_tokens; - defaults.frequency_penalty = - apiModel.default_parameters.frequency_penalty; - defaults.presence_penalty = - apiModel.default_parameters.presence_penalty; - workingModelCard.defaultParameters = defaults; - } - - const realmUrl = targetRealm.endsWith('/') - ? targetRealm - : `${targetRealm}/`; - - finalSlug = slugToUse; - - cardPath = `OpenRouterModel/${finalSlug}.json`; - - // Build JSON structure - const cardJson = { - data: { - type: 'card', - attributes: { - modelId: workingModelCard.modelId, - canonicalSlug: workingModelCard.canonicalSlug, - name: workingModelCard.name, - created: workingModelCard.created, - description: workingModelCard.cardDescription, - pricing: workingModelCard.pricing - ? { - prompt: workingModelCard.pricing.prompt, - completion: workingModelCard.pricing.completion, - request: workingModelCard.pricing.request, - image: workingModelCard.pricing.image, - } - : null, - contextLength: workingModelCard.contextLength, - architecture: workingModelCard.architecture - ? { - modality: workingModelCard.architecture.modality, - inputModalities: - workingModelCard.architecture.inputModalities, - outputModalities: - workingModelCard.architecture.outputModalities, - tokenizer: workingModelCard.architecture.tokenizer, - instructType: workingModelCard.architecture.instructType, - } - : null, - topProvider: workingModelCard.topProvider - ? { - isModerated: workingModelCard.topProvider.isModerated, - contextLength: workingModelCard.topProvider.contextLength, - maxCompletionTokens: - workingModelCard.topProvider.maxCompletionTokens, - } - : null, - perRequestLimits: workingModelCard.perRequestLimits - ? { - promptTokens: - workingModelCard.perRequestLimits.promptTokens, - completionTokens: - workingModelCard.perRequestLimits.completionTokens, - } - : null, - supportedParameters: workingModelCard.supportedParameters, - defaultParameters: workingModelCard.defaultParameters - ? { - temperature: - workingModelCard.defaultParameters.temperature, - top_p: workingModelCard.defaultParameters.top_p, - max_tokens: workingModelCard.defaultParameters.max_tokens, - frequency_penalty: - workingModelCard.defaultParameters.frequency_penalty, - presence_penalty: - workingModelCard.defaultParameters.presence_penalty, - } - : null, - cardInfo: { - title: null, - description: null, - thumbnailURL: null, - notes: null, - }, - }, - meta: { - adoptsFrom: { - module: '../openrouter-model', - name: 'OpenRouterModel', - }, - }, - }, - }; - - console.log('[DEBUG] Saving card to:', { - realmUrl, - cardPath, - modelId: apiModel.id, - modelName: apiModel.name, - slug: finalSlug, - }); - - await new WriteTextFileCommand( - this.args.context.commandContext, - ).execute({ - path: cardPath, - content: JSON.stringify(cardJson, null, 2), - realm: realmUrl, - }); - - console.log('[DEBUG] Card saved successfully to:', cardPath); - - this.processedCount++; - } catch (error: any) { - const isFileExists = - typeof error?.message === 'string' && - error.message.toLowerCase().includes('file already exists'); - - const errorDetails = isFileExists - ? `File already exists for ${finalSlug ?? apiModel.id}` - : `Error processing model ${apiModel.id} ${ - cardPath ? `(${cardPath}) ` : '' - }: ${error.message}\nStack: ${error.stack || 'No stack trace'}`; - - if (isFileExists) { - console.error(errorDetails); - } else { - console.error(errorDetails); - } - - errors.push(errorDetails); - // Continue processing other models - } - } - - this.args.model.modelsProcessed = this.processedCount; - if (errors.length) { - this.errorMessage = errors.join('\n\n'); - this.args.model.lastUpdateStatus = `Processed ${this.processedCount} of ${this.totalCount} models with ${errors.length} errors`; - this.statusMessage = `⚠️ Completed with errors. Processed ${this.processedCount} of ${this.totalCount} models`; - } else { - this.args.model.lastUpdateStatus = `Successfully processed ${this.processedCount} of ${this.totalCount} models`; - this.statusMessage = `✓ Complete! Processed ${this.processedCount} of ${this.totalCount} models`; - } - } catch (error: any) { - const errorDetails = `Error updating models: ${error.message}\nStack: ${ - error.stack || 'No stack trace' - }`; - console.error(errorDetails); - this.errorMessage = errorDetails; - this.args.model.lastUpdateStatus = `Failed: ${error.message}`; - } finally { - this.isProcessing = false; - } - }); - - -} - -export class ModelUpdater extends CardDef { - static displayName = 'OpenRouter Model Updater'; - - @field targetRealm = contains(StringField, { - description: 'Realm URL where OpenRouter models will be saved ', - computeVia: function (this: ModelUpdater) { - return (this as any).id - ? new URL((this as any).id).origin + - new URL((this as any).id).pathname - .split('/') - .slice(0, -2) - .join('/') + - '/' - : ''; - }, - }); - - @field modelsProcessed = contains(NumberField, { - description: 'Number of models processed in last update', - }); - - @field lastUpdateStatus = contains(StringField, { - description: 'Status of the last update operation', - }); - - @field cardTitle = contains(StringField, { - computeVia: function (this: ModelUpdater) { - return this.cardInfo?.name || 'OpenRouter Model Updater'; - }, - }); - static isolated = Isolated; -} diff --git a/system-card/openrouter-model.gts b/system-card/openrouter-model.gts deleted file mode 100644 index c23213e..0000000 --- a/system-card/openrouter-model.gts +++ /dev/null @@ -1,1027 +0,0 @@ -import { fn } from '@ember/helper'; -import { gt, or } from '@cardstack/boxel-ui/helpers'; -import { - FieldDef, - Component, - field, - contains, - containsMany, -} from 'https://cardstack.com/base/card-api'; -import { ModelConfiguration } from './model-configuration'; -import StringField from 'https://cardstack.com/base/string'; -import NumberField from 'https://cardstack.com/base/number'; -import BooleanField from 'https://cardstack.com/base/boolean'; -import { tracked } from '@glimmer/tracking'; -import { on } from '@ember/modifier'; - -export class OpenRouterPricing extends FieldDef { - static displayName = 'OpenRouter Pricing'; - @field prompt = contains(StringField); - @field completion = contains(StringField); - @field request = contains(StringField); - @field image = contains(StringField); -} - -export class OpenRouterArchitecture extends FieldDef { - static displayName = 'OpenRouter Architecture'; - @field modality = contains(StringField); - @field inputModalities = containsMany(StringField); - @field outputModalities = containsMany(StringField); - @field tokenizer = contains(StringField); - @field instructType = contains(StringField); -} - -export class OpenRouterTopProvider extends FieldDef { - static displayName = 'OpenRouter Top Provider'; - @field isModerated = contains(BooleanField); - @field contextLength = contains(NumberField); - @field maxCompletionTokens = contains(NumberField); -} - -export class OpenRouterPerRequestLimits extends FieldDef { - static displayName = 'OpenRouter Per-Request Limits'; - @field promptTokens = contains(NumberField); - @field completionTokens = contains(NumberField); -} - -export class OpenRouterDefaultParameters extends FieldDef { - static displayName = 'OpenRouter Default Parameters'; - @field temperature = contains(NumberField); - @field top_p = contains(NumberField); - @field max_tokens = contains(NumberField); // optional at data level - @field frequency_penalty = contains(NumberField); - @field presence_penalty = contains(NumberField); -} - -class Isolated extends Component { - @tracked copied = false; - @tracked showFullDescription = false; - - copyToClipboard = async (text: string) => { - try { - await navigator.clipboard.writeText(text); - this.copied = true; - setTimeout(() => { - this.copied = false; - }, 2000); - } catch (err) { - console.error('Failed to copy:', err); - } - }; - - toggleDescription = () => { - this.showFullDescription = !this.showFullDescription; - }; - - formatPrice(price: string | undefined): string { - if (!price) return '—'; - const priceNum = parseFloat(price); - if (priceNum === 0) return 'Free'; - // Convert to dollars per million tokens - const perMillion = priceNum * 1000000; - return `$${perMillion.toFixed(2)}`; - } - - formatDate(timestamp: number | undefined): string { - if (!timestamp) return '—'; - return new Date(timestamp * 1000).toLocaleDateString('en-US', { - year: 'numeric', - month: 'long', - day: 'numeric', - }); - } - - formatNumber(num: number | undefined): string { - if (!num) return '—'; - return num.toLocaleString('en-US'); - } - - get truncatedDescription(): string { - if (!this.args.model.cardDescription) return ''; - const maxLength = 200; - if (this.args.model.cardDescription.length <= maxLength) - return this.args.model.cardDescription; - return this.args.model.cardDescription.substring(0, maxLength) + '...'; - } - - -} - -export class OpenRouterModel extends ModelConfiguration { - static displayName = 'OpenRouter Model'; - - // Identification (modelId and canonicalSlug inherited from parent) - @field name = contains(StringField); // e.g., "GPT-4" - @field created = contains(NumberField); // epoch seconds - @field cardDescription = contains(StringField); - - // Pricing - @field pricing = contains(OpenRouterPricing); - - // Context length (top-level) - @field contextLength = contains(NumberField); - - // Architecture - @field architecture = contains(OpenRouterArchitecture); - - // Top provider info - @field topProvider = contains(OpenRouterTopProvider); - - // Per-request limits - @field perRequestLimits = contains(OpenRouterPerRequestLimits); - - // Supported parameters (list of strings) - @field supportedParameters = containsMany(StringField); - - // Default parameters - @field defaultParameters = contains(OpenRouterDefaultParameters); - - // Override inherited title to use name or modelId - @field cardTitle = contains(StringField, { - computeVia: function (this: OpenRouterModel) { - return ( - this.cardInfo?.name || this.name || this.modelId || 'OpenRouter Model' - ); - }, - }); - - @field leftBadge = contains(StringField, { - computeVia: function (this: OpenRouterModel) { - return 'OPENROUTER'; - }, - }); - - @field leftBadgeVariant = contains(StringField, { - computeVia: function (this: OpenRouterModel) { - return 'generic'; - }, - }); - - // Minimal formats to satisfy renderer; can be styled later - static embedded = class Embedded extends Component { - formatPrice(price: string | undefined): string { - if (!price) return '—'; - const priceNum = parseFloat(price); - if (priceNum === 0) return 'Free'; - const perMillion = priceNum * 1000000; - return `$${perMillion.toFixed(2)}`; - } - - formatNumber(num: number | undefined): string { - if (!num) return '—'; - return num.toLocaleString('en-US'); - } - - formatContext(num: number | undefined): string { - if (!num) return '—'; - // Format as 100K, 1M, etc for readability - if (num >= 1000000) { - return `${(num / 1000000).toFixed(1).replace(/\.0$/, '')}M`; - } - if (num >= 1000) { - return `${(num / 1000).toFixed(0)}K`; - } - return num.toLocaleString('en-US'); - } - - - }; - - static isolated = Isolated; -} diff --git a/system-card/recommended-model.gts b/system-card/recommended-model.gts deleted file mode 100644 index 835298f..0000000 --- a/system-card/recommended-model.gts +++ /dev/null @@ -1,183 +0,0 @@ -import { ModelConfiguration } from './model-configuration'; // ¹ Import base -import { field, contains, linksTo } from 'https://cardstack.com/base/card-api'; -import StringField from 'https://cardstack.com/base/string'; -import NumberField from 'https://cardstack.com/base/number'; -import enumField from 'https://cardstack.com/base/enum'; // ² Import enum field - -const PurposeField = enumField(StringField, { - options: [ - { value: '', label: '(No specific purpose)' }, - { value: 'code', label: 'Code' }, - { value: 'design', label: 'Design' }, - { value: 'debug', label: 'Debug' }, - { value: 'chat', label: 'Chat' }, - ], -}); - -const ThinkingEffortField = enumField(StringField, { - options: [ - { value: 'none', label: 'None' }, - { value: 'minimal', label: 'Minimal (10% tokens)' }, - { value: 'low', label: 'Low (20% tokens)' }, - { value: 'medium', label: 'Medium (50% tokens)' }, - { value: 'high', label: 'High (80% tokens)' }, - ], -}); - -export class RecommendedModel extends ModelConfiguration { - static displayName = 'Recommended Model'; - - @field purpose = contains(PurposeField); - - @field modelConfiguration = linksTo(() => ModelConfiguration); - - @field thinkingEffort = contains(ThinkingEffortField); - - @field reasoningEffort = contains(StringField, { - computeVia: function (this: RecommendedModel) { - // If none or not set, return empty string - if (!this.thinkingEffort || this.thinkingEffort === 'none') { - return ''; - } - // Otherwise return the effort level - return this.thinkingEffort; - }, - }); - - @field canonicalSlug = contains(StringField, { - computeVia: function (this: RecommendedModel) { - try { - return this.modelConfiguration?.canonicalSlug ?? null; - } catch (e) { - return null; - } - }, - }); - - @field modelId = contains(StringField, { - computeVia: function (this: RecommendedModel) { - try { - return this.modelConfiguration?.modelId ?? null; - } catch (e) { - return null; - } - }, - }); - - @field name = contains(StringField, { - computeVia: function (this: RecommendedModel) { - try { - return this.modelConfiguration?.name ?? null; - } catch (e) { - return null; - } - }, - }); - - @field cardTitle = contains(StringField, { - computeVia: function (this: RecommendedModel) { - // Get the full model name (e.g., "OpenAI: GPT-5.1 Chat" or "Google: Gemini 2.5 Flash") - let fullModelName = ''; - let modelName = ''; - - try { - fullModelName = this.modelConfiguration?.name ?? ''; - if (fullModelName) { - const parts = fullModelName.split(':'); - if (parts.length > 1) { - modelName = parts[1].trim(); - } else { - modelName = fullModelName.trim(); - } - } - } catch (e) { - fullModelName = ''; - } - - // Build purpose segment with emoji (e.g., "🎨 Design" or "💬 Chat") - let purposeSegment = ''; - const hasRoleSpecificPurpose = this.purpose && this.purpose !== ''; - - if (hasRoleSpecificPurpose) { - const purposeEmojis: Record = { - code: '💻', - design: '🎨', - debug: '🔧', - chat: '💬', - }; - const emoji = purposeEmojis[this.purpose] || '💬'; - const purposeLabel = - this.purpose.charAt(0).toUpperCase() + this.purpose.slice(1); - purposeSegment = `${emoji} ${purposeLabel}・`; - } - - // Build model segment - // For role-specific: skip brand, just use model name (e.g., "Gemini 3 Pro Preview") - // For non-role-specific: add checkmark prefix and use full name (e.g., "✓ OpenAI: GPT-5.1 Chat") - let modelSegment = ''; - if (hasRoleSpecificPurpose) { - modelSegment = modelName || fullModelName || 'Model'; - } else { - modelSegment = `✓ ${fullModelName || 'Model'}`; - } - - // Add thinking suffix if applicable - const thinkingSuffix = - this.thinkingEffort && this.thinkingEffort !== 'none' - ? '・Thinking' - : ''; - - // Build final title: - // Role-specific: 🎨 Design・Gemini 3 Pro Preview・Thinking - // Non-role-specific: ✓ OpenAI: GPT-5.1 Chat - const autoTitle = `${purposeSegment}${modelSegment}${thinkingSuffix}`; - - // Allow manual override via cardInfo.name - return this.cardInfo?.name || autoTitle; - }, - }); - - @field leftBadge = contains(StringField, { - computeVia: function (this: RecommendedModel) { - return this.purpose && this.purpose !== '' - ? this.purpose.toUpperCase() - : 'RECOMMENDED'; - }, - }); - - @field leftBadgeVariant = contains(StringField, { - computeVia: function (this: RecommendedModel) { - // Use 'recommended' variant for generic recommendation (between gray and purple) - // Use 'purpose' variant for role-specific (purple) - return this.purpose && this.purpose !== '' - ? 'purpose' - : 'recommended-badge'; - }, - }); - - @field rightBadge = contains(StringField, { - computeVia: function (this: RecommendedModel) { - // Use bolt (⚡) for non-thinking models, lightbulb (💡) for thinking models - if (this.thinkingEffort && this.thinkingEffort !== 'none') { - return '💡'; - } - return '⚡'; - }, - }); - - @field rightBadgeVariant = contains(StringField, { - computeVia: function (this: RecommendedModel) { - return 'recommended'; - }, - }); - - @field contextLength = contains(NumberField, { - computeVia: function (this: RecommendedModel) { - try { - return this.modelConfiguration?.contextLength ?? null; - } catch (e) { - return null; - } - }, - }); -}