| [ |
| { |
| "id": "forge", |
| "api_key_vars": "FORGE_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://antinomy.ai/api/v1/chat/completions", |
| "models": "https://antinomy.ai/api/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "deepseek", |
| "api_key_vars": "DEEPSEEK_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.deepseek.com/chat/completions", |
| "models": "https://api.deepseek.com/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "github_copilot", |
| "api_key_vars": "GITHUB_COPILOT_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.githubcopilot.com/chat/completions", |
| "models": "https://api.githubcopilot.com/models", |
| "auth_methods": [ |
| { |
| "oauth_device": { |
| "auth_url": "https://github.com/login/device/code", |
| "token_url": "https://github.com/login/oauth/access_token", |
| "client_id": "Iv1.b507a08c87ecfe98", |
| "scopes": ["read:user"], |
| "use_pkce": false, |
| "token_refresh_url": "https://api.github.com/copilot_internal/v2/token", |
| "custom_headers": { |
| "User-Agent": "GitHubCopilotChat/0.26.7", |
| "Accept": "application/json", |
| "editor-version": "vscode/1.99.3", |
| "editor-plugin-version": "copilot-chat/0.26.7" |
| } |
| } |
| } |
| ] |
| }, |
| { |
| "id": "open_router", |
| "api_key_vars": "OPENROUTER_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://openrouter.ai/api/v1/chat/completions", |
| "models": "https://openrouter.ai/api/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "requesty", |
| "api_key_vars": "REQUESTY_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://router.requesty.ai/v1/chat/completions", |
| "models": "https://router.requesty.ai/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "vivgrid", |
| "api_key_vars": "VIVGRID_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAIResponses", |
| "url": "https://api.vivgrid.com/v1/responses", |
| "models": [ |
| { |
| "id": "gpt-5.4", |
| "name": "GPT-5.4", |
| "description": "Vivgrid-hosted GPT-5.4 model for complex professional work", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.2-codex", |
| "name": "GPT-5.2 Codex", |
| "description": "Vivgrid-hosted GPT-5.2 Codex model optimized for coding and agent workflows", |
| "context_length": 400000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.1-codex", |
| "name": "GPT-5.1 Codex", |
| "description": "Vivgrid-hosted GPT-5.1 Codex model for agentic coding tasks", |
| "context_length": 400000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "xai", |
| "api_key_vars": "XAI_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.x.ai/v1/chat/completions", |
| "models": "https://api.x.ai/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "openai", |
| "api_key_vars": "OPENAI_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.openai.com/v1/chat/completions", |
| "models": [ |
| { |
| "id": "o1", |
| "name": "O1", |
| "description": "OpenAI's reasoning model with advanced problem-solving capabilities", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o1-2024-12-17", |
| "name": "O1 (2024-12-17)", |
| "description": "OpenAI's reasoning model snapshot from December 2024", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o3", |
| "name": "O3", |
| "description": "Advanced reasoning model with improved capabilities", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o3-2025-04-16", |
| "name": "O3 (2025-04-16)", |
| "description": "O3 model snapshot from April 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o3-mini", |
| "name": "O3 Mini", |
| "description": "Smaller reasoning model optimized for speed and efficiency", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o3-mini-2025-01-31", |
| "name": "O3 Mini (2025-01-31)", |
| "description": "O3 Mini model snapshot from January 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o4-mini", |
| "name": "O4 Mini", |
| "description": "Next generation compact reasoning model", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "o4-mini-2025-04-16", |
| "name": "O4 Mini (2025-04-16)", |
| "description": "O4 Mini model snapshot from April 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-4.1", |
| "name": "GPT-4.1", |
| "description": "Enhanced GPT-4 with improved performance", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4.1-2025-04-14", |
| "name": "GPT-4.1 (2025-04-14)", |
| "description": "GPT-4.1 model snapshot from April 2025", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4.1-mini", |
| "name": "GPT-4.1 Mini", |
| "description": "Compact version of GPT-4.1", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4.1-mini-2025-04-14", |
| "name": "GPT-4.1 Mini (2025-04-14)", |
| "description": "GPT-4.1 Mini model snapshot from April 2025", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4.1-nano", |
| "name": "GPT-4.1 Nano", |
| "description": "Ultra-compact version of GPT-4.1", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-4.1-nano-2025-04-14", |
| "name": "GPT-4.1 Nano (2025-04-14)", |
| "description": "GPT-4.1 Nano model snapshot from April 2025", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-4o", |
| "name": "GPT-4o", |
| "description": "OpenAI's flagship multimodal model with vision capabilities", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4o-2024-11-20", |
| "name": "GPT-4o (2024-11-20)", |
| "description": "GPT-4o model snapshot from November 2024", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4o-2024-08-06", |
| "name": "GPT-4o (2024-08-06)", |
| "description": "GPT-4o model snapshot from August 2024", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4o-2024-05-13", |
| "name": "GPT-4o (2024-05-13)", |
| "description": "GPT-4o model snapshot from May 2024", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4o-mini", |
| "name": "GPT-4o Mini", |
| "description": "Fast and affordable small multimodal model", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4o-mini-2024-07-18", |
| "name": "GPT-4o Mini (2024-07-18)", |
| "description": "GPT-4o Mini model snapshot from July 2024", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4-turbo", |
| "name": "GPT-4 Turbo", |
| "description": "Most capable GPT-4 model with vision and 128K context", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4-turbo-2024-04-09", |
| "name": "GPT-4 Turbo (2024-04-09)", |
| "description": "GPT-4 Turbo model snapshot from April 2024", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4", |
| "name": "GPT-4", |
| "description": "Base GPT-4 model with 8K context", |
| "context_length": 8192, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-4-0613", |
| "name": "GPT-4 (0613)", |
| "description": "GPT-4 model snapshot from June 2023", |
| "context_length": 8192, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-4.5-preview", |
| "name": "GPT-4.5 Preview", |
| "description": "Preview of next-generation GPT-4.5 model", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-4.5-preview-2025-02-27", |
| "name": "GPT-4.5 Preview (2025-02-27)", |
| "description": "GPT-4.5 Preview snapshot from February 2025", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-3.5-turbo", |
| "name": "GPT-3.5 Turbo", |
| "description": "Fast and affordable model for most tasks", |
| "context_length": 16385, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-3.5-turbo-0125", |
| "name": "GPT-3.5 Turbo (0125)", |
| "description": "GPT-3.5 Turbo model snapshot from January 2024", |
| "context_length": 16385, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-3.5-turbo-1106", |
| "name": "GPT-3.5 Turbo (1106)", |
| "description": "GPT-3.5 Turbo model snapshot from November 2023", |
| "context_length": 16385, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "chatgpt-4o-latest", |
| "name": "ChatGPT-4o Latest", |
| "description": "Latest ChatGPT model with continuous updates", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5", |
| "name": "GPT-5", |
| "description": "OpenAI's next-generation flagship model", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5-2025-08-07", |
| "name": "GPT-5 (2025-08-07)", |
| "description": "GPT-5 model snapshot from August 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5-mini", |
| "name": "GPT-5 Mini", |
| "description": "Compact version of GPT-5", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5-mini-2025-08-07", |
| "name": "GPT-5 Mini (2025-08-07)", |
| "description": "GPT-5 Mini model snapshot from August 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5-nano", |
| "name": "GPT-5 Nano", |
| "description": "Ultra-compact version of GPT-5", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-5-nano-2025-08-07", |
| "name": "GPT-5 Nano (2025-08-07)", |
| "description": "GPT-5 Nano model snapshot from August 2025", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "gpt-5-chat-latest", |
| "name": "GPT-5 Chat Latest", |
| "description": "Latest GPT-5 optimized for chat", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.1", |
| "name": "GPT-5.1", |
| "description": "Enhanced GPT-5 with improved capabilities", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.1-chat-latest", |
| "name": "GPT-5.1 Chat Latest", |
| "description": "Latest GPT-5.1 optimized for chat", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.2", |
| "name": "GPT-5.2", |
| "description": "Latest iteration of GPT-5 series", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.2-chat-latest", |
| "name": "GPT-5.2 Chat Latest", |
| "description": "Latest GPT-5.2 optimized for chat", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.2-pro", |
| "name": "GPT-5.2 Pro", |
| "description": "Professional tier GPT-5.2 with enhanced capabilities", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.3-codex", |
| "name": "GPT-5.3 Codex", |
| "description": "GPT-5.3-Codex is optimized for agentic coding tasks", |
| "context_length": 400000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.4-2026-03-05", |
| "name": "GPT 5.4 2026-03-05", |
| "description": "GPT 5.4 frontier model for complex professional work", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.4-pro-2026-03-05", |
| "name": "GPT 5.4 Pro 2026-03-05", |
| "description": "GPT 5.4 Pro frontier model for complex professional work", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.4-mini", |
| "name": "GPT-5.4 Mini", |
| "description": "Strongest mini model yet for coding, computer use, and subagents", |
| "context_length": 400000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.4-nano", |
| "name": "GPT-5.4 nano", |
| "description": "cheapest GPT-5.4-class model for simple high-volume tasks", |
| "context_length": 400000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.5-2026-04-23", |
| "name": "GPT-5.5", |
| "description": "Frontier model for the most complex professional work.", |
| "context_length": 1050000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.5-pro-2026-04-23", |
| "name": "GPT-5.5 Pro", |
| "description": "GPT-5.5 pro uses more compute to think harder and provide consistently better answers.", |
| "context_length": 1050000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.6-sol", |
| "name": "GPT-5.6 Sol", |
| "description": "Frontier model for complex professional work", |
| "context_length": 1050000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.6-terra", |
| "name": "GPT-5.6 Terra", |
| "description": "GPT-5.6 model that balances intelligence and cost", |
| "context_length": 1050000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gpt-5.6-luna", |
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| "id": "openai_compatible", |
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| }, |
| { |
| "id": "kimi_coding", |
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| "response_type": "OpenAI", |
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| "description": "Moonshot AI Kimi K3 flagship model with 2.8T parameters, 1M-token context, native vision, always-on reasoning, and tool calling capabilities", |
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| "id": "kimi-for-coding", |
| "name": "Kimi K2.7 Code", |
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| "id": "kimi-for-coding-highspeed", |
| "name": "Kimi K2.7 Code HighSpeed", |
| "description": "Moonshot AI Kimi K2.7 Code HighSpeed model (5-6x faster output) with 256K context, reasoning, and tool calling capabilities", |
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| "response_type": "OpenAI", |
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| "name": "Kimi K3", |
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| "id": "kimi-k2.7-code", |
| "name": "Kimi K2.7 Code", |
| "description": "Moonshot AI Kimi K2.7 Code model with 256K context, reasoning, and tool calling capabilities", |
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| "id": "kimi-k2.6", |
| "name": "Kimi K2.6", |
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| "id": "kimi-k2.5", |
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| "id": "kimi-k2-thinking", |
| "name": "Kimi K2 Thinking", |
| "description": "Moonshot AI Kimi K2 Thinking model with 256K context, reasoning, and tool calling capabilities", |
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| "id": "openai_responses_compatible", |
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| "response_type": "OpenAIResponses", |
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| "id": "anthropic", |
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| "id": "claude-opus-5", |
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| "id": "claude-sonnet-4-6", |
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| "id": "claude-opus-4-5-20251101", |
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| "id": "claude-3-5-haiku-20241022", |
| "name": "Claude Haiku 3.5", |
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| "id": "claude-3-haiku-20240307", |
| "name": "Claude Haiku 3", |
| "description": "Third generation fast Claude model", |
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| { |
| "id": "anthropic_compatible", |
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| "url_param_vars": ["ANTHROPIC_URL"], |
| "response_type": "Anthropic", |
| "url": "{{ANTHROPIC_URL}}/messages", |
| "models": "{{ANTHROPIC_URL}}/models", |
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| { |
| "id": "cerebras", |
| "api_key_vars": "CEREBRAS_API_KEY", |
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| "response_type": "OpenAI", |
| "url": "https://api.cerebras.ai/v1/chat/completions", |
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| { |
| "id": "neuralwatt", |
| "api_key_vars": "NEURALWATT_API_KEY", |
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| "response_type": "OpenAI", |
| "url": "https://api.neuralwatt.com/v1/chat/completions", |
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| "id": "qwen3.5-397b", |
| "name": "Qwen3.5 397B", |
| "description": "Qwen3.5 397B-A17B — quant-agnostic canonical name for the Qwen3.5 397B family.", |
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| "tools_supported": true, |
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| "id": "qwen3.5-397b-fast", |
| "name": "Qwen3.5 397B Fast", |
| "description": "Qwen3.5 397B with thinking mode disabled for faster, lower-latency responses. Ideal for straightforward tasks where extended reasoning is unnecessary.", |
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| "tools_supported": true, |
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| { |
| "id": "kimi-k2.7-code", |
| "name": "Kimi K2.7 Code", |
| "description": "Kimi K2.7 Code — quant-agnostic canonical name for the Kimi K2.7 Code family.", |
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| "tools_supported": true, |
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| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "kimi-k2.7-code-flex", |
| "name": "Kimi K2.7 Code Flex", |
| "description": "Kimi K2.7 Code on the flex tier — lower-cost serving with relaxed latency guarantees.", |
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| "tools_supported": true, |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "kimi-k2.6", |
| "name": "Kimi K2.6", |
| "description": "Kimi K2.6 — quant-agnostic canonical name for the Kimi K2.6 family.", |
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| "tools_supported": true, |
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| }, |
| { |
| "id": "kimi-k2.6-fast", |
| "name": "Kimi K2.6 Fast", |
| "description": "Moonshot Kimi K2.6 with thinking mode disabled for instant, lower-latency responses.", |
| "context_length": 262128, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": false, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "kimi-k2.6-flex", |
| "name": "Kimi K2.6 Flex", |
| "description": "Kimi K2.6 on the flex tier — lower-cost serving with relaxed latency guarantees.", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "qwen3.6-35b", |
| "name": "Qwen3.6 35B", |
| "description": "Qwen3.6 35B-A3B — quant-agnostic canonical name for the Qwen3.6 35B family.", |
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| "tools_supported": true, |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "qwen3.6-35b-fast", |
| "name": "Qwen3.6 35B Fast", |
| "description": "Qwen3.6 35B with thinking mode disabled for instant responses. A lightweight, fast model for rapid iteration.", |
| "context_length": 131056, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": false, |
| "input_modalities": ["text", "image"] |
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| { |
| "id": "glm-5.2", |
| "name": "GLM-5.2", |
| "description": "Private GLM-5.2 test canary", |
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| "tools_supported": true, |
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| "id": "glm-5.2-fast", |
| "name": "GLM-5.2 (fast)", |
| "description": "GLM-5.2 with thinking skipped (reasoning_effort=none). Non-thinking tier, mirrors glm-5.1-fast.", |
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| "tools_supported": true, |
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| "id": "glm-5.2-flex", |
| "name": "GLM-5.2 Flex", |
| "description": "GLM-5.2 on the flex tier — lower-cost serving with relaxed latency guarantees.", |
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| "tools_supported": true, |
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| "id": "glm-5.2-short", |
| "name": "GLM-5.2 (short)", |
| "description": "GLM-5.2 with a 200K context window and a bounded reasoning budget — faster, lower-energy serving for everyday coding, agentic, and chat workloads under 200K tokens. Private preview (grant-gated).", |
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| { |
| "id": "glm-5.2-short-fast", |
| "name": "GLM-5.2 (short, fast)", |
| "description": "GLM-5.2 short with reasoning OFF — the fastest, lowest-energy variant of the 200K pool, for latency-sensitive coding, chat, and tool-use that does not need chain-of-thought. Private preview (grant-gated).", |
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| "tools_supported": true, |
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| "id": "glm-5.2-short-flex", |
| "name": "GLM-5.2 (short, flex)", |
| "description": "GLM-5.2 short on the flex tier — lower-cost serving with relaxed latency guarantees for workloads under 200K tokens.", |
| "context_length": 199984, |
| "tools_supported": true, |
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| { |
| "id": "glm-5.2-short-fast-flex", |
| "name": "GLM-5.2 (short, fast, flex)", |
| "description": "GLM-5.2 short with reasoning OFF on the flex tier — lowest-cost variant of the 200K pool with relaxed latency guarantees.", |
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| "tools_supported": true, |
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| { |
| "id": "deepseek-v4-flash", |
| "name": "DeepSeek V4 Flash", |
| "description": "DeepSeek V4 Flash — MoE with DSpark speculative decoding, native 1M context, served on 4x B200.", |
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| "tools_supported": true, |
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| { |
| "id": "gemma-4-31b", |
| "name": "Gemma 4 31B", |
| "description": "Google Gemma 4 31B — multimodal (text + vision) with tool calling and 262K context.", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
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| "input_modalities": ["text", "image"] |
| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "zai", |
| "api_key_vars": "ZAI_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.z.ai/api/paas/v4/chat/completions", |
| "models": [ |
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| "id": "glm-5.2", |
| "name": "GLM-5.2", |
| "description": "Flagship foundation model built for long-horizon tasks with truly usable 1M-token context, delivering stable long-task execution and reliable adherence to engineering standards", |
| "context_length": 1048576, |
| "tools_supported": true, |
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| "input_modalities": ["text"] |
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| { |
| "id": "glm-5.1", |
| "name": "GLM-5.1", |
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| { |
| "id": "glm-5-turbo", |
| "name": "GLM-5 Turbo", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
| "context_length": 204800, |
| "tools_supported": true, |
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| { |
| "id": "glm-5", |
| "name": "GLM-5", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| "tools_supported": true, |
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| "input_modalities": ["text"] |
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| "id": "glm-4.7", |
| "name": "GLM-4.7", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| }, |
| { |
| "id": "glm-4.7-flash", |
| "name": "GLM-4.7 Flash", |
| "description": "Latest 4.7 model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.7-flashx", |
| "name": "GLM-4.7 Flash X", |
| "description": "Latest 4.7 model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
| "context_length": 200000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.6", |
| "name": "GLM-4.6", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
| "context_length": 200000, |
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| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5", |
| "name": "GLM-4.5", |
| "description": "Advanced model with 128K context window and 96K maximum output, supports chain of thought", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5-air", |
| "name": "GLM-4.5-air", |
| "description": "Lightweight version of GLM-4.5 with 128K context window and optimized performance", |
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| }, |
| { |
| "id": "glm-4.5-x", |
| "name": "GLM-4.5-x", |
| "description": "Extended version of GLM-4.5 with 128K context window and enhanced capabilities", |
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| }, |
| { |
| "id": "glm-4.5-airx", |
| "name": "GLM-4.5-airx", |
| "description": "Optimized version of GLM-4.5 with 128K context window and balanced performance and capabilities", |
| "context_length": 128000, |
| "tools_supported": true, |
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| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5-flash", |
| "name": "GLM-4.5-flash", |
| "description": "Fast inference model with 128K context window for quick responses", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4-32b-0414-128k", |
| "name": "GLM-4-32B-0414-128K", |
| "description": "32B parameter model with 128K context window and 16K maximum output", |
| "context_length": 128000, |
| "tools_supported": true, |
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| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "zai_coding", |
| "api_key_vars": "ZAI_CODING_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.z.ai/api/coding/paas/v4/chat/completions", |
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| { |
| "id": "glm-5.2", |
| "name": "GLM-5.2", |
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| "id": "glm-5.1", |
| "name": "GLM-5.1", |
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| }, |
| { |
| "id": "glm-5-turbo", |
| "name": "GLM-5 Turbo", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| { |
| "id": "glm-5", |
| "name": "GLM-5", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| { |
| "id": "glm-4.7", |
| "name": "GLM-4.7", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| "supports_parallel_tool_calls": true, |
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| }, |
| { |
| "id": "glm-4.7-flash", |
| "name": "GLM-4.7 Flash", |
| "description": "Latest 4.7 model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| "supports_parallel_tool_calls": true, |
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| }, |
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| "id": "glm-4.7-flashx", |
| "name": "GLM-4.7 Flash X", |
| "description": "Latest 4.7 model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| }, |
| { |
| "id": "glm-4.6", |
| "name": "GLM-4.6", |
| "description": "Latest flagship model series, foundational models specifically designed for agent applications with 200K context window and 128K maximum output", |
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| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5", |
| "name": "GLM-4.5", |
| "description": "Advanced model with 128K context window and 96K maximum output, supports chain of thought", |
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| "supports_reasoning": true, |
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| { |
| "id": "glm-4.5-air", |
| "name": "GLM-4.5-air", |
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| }, |
| { |
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| "name": "GLM-4.5-x", |
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| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5-airx", |
| "name": "GLM-4.5-airx", |
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| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4.5-flash", |
| "name": "GLM-4.5-flash", |
| "description": "Fast inference model with 128K context window for quick responses", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-4-32b-0414-128k", |
| "name": "GLM-4-32B-0414-128K", |
| "description": "32B parameter model with 128K context window and 16K maximum output", |
| "context_length": 128000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": false, |
| "supports_reasoning": false, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "glm-5v-turbo", |
| "name": "GLM-5V Turbo", |
| "description": "Vision-capable model with attachment support, reasoning, and tool calling capabilities", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
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| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "big_model", |
| "api_key_vars": "BIG_MODEL_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://open.bigmodel.cn/api/paas/v4/chat/completions", |
| "models": "https://open.bigmodel.cn/api/paas/v4/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "vertex_ai", |
| "api_key_vars": "VERTEX_AI_AUTH_TOKEN", |
| "url_param_vars": ["PROJECT_ID", "LOCATION"], |
| "response_type": "Google", |
| "url": "https://{{#if (eq LOCATION \"global\")}}aiplatform.googleapis.com{{else}}{{LOCATION}}-aiplatform.googleapis.com{{/if}}/v1beta1/projects/{{PROJECT_ID}}/locations/{{LOCATION}}/publishers/google", |
| "models": [ |
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| "id": "gemini-3.5-flash", |
| "name": "Gemini 3.5 Flash", |
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| "supports_parallel_tool_calls": true, |
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| "input_modalities": ["text", "image"] |
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| { |
| "id": "gemini-3.1-flash-lite-preview", |
| "name": "Gemini 3.1 Flash Lite Preview", |
| "description": "Google's most cost-efficient Gemini model, optimized for low latency use cases for high-volume, cost-sensitive LLM traffic.", |
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| "tools_supported": true, |
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| { |
| "id": "gemini-3.1-pro-preview", |
| "name": "Gemini 3.1 Pro Preview", |
| "description": "Most capable Gemini model with advanced reasoning", |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-3-flash-preview", |
| "name": "Gemini 3 Flash Preview", |
| "description": "Google's fast and capable model with thinking support", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-3-pro-preview", |
| "name": "Gemini 3 Pro Preview", |
| "description": "Most capable Gemini model with advanced reasoning", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-2.5-pro", |
| "name": "Gemini 2.5 Pro", |
| "description": "Most capable Gemini model with advanced reasoning", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-2.5-flash", |
| "name": "Gemini 2.5 Flash", |
| "description": "Fast and efficient Gemini 2.5 model", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-2.0-flash", |
| "name": "Gemini 2.0 Flash", |
| "description": "Fast and versatile Gemini 2.0 model", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-1.5-pro", |
| "name": "Gemini 1.5 Pro", |
| "description": "Most capable Gemini 1.5 model", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-1.5-flash", |
| "name": "Gemini 1.5 Flash", |
| "description": "Fast and efficient Gemini 1.5 model", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "gemini-1.5-flash-8b", |
| "name": "Gemini 1.5 Flash 8B", |
| "description": "Compact and efficient Gemini 1.5 model", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "input_modalities": ["text", "image"] |
| } |
| ], |
| "auth_methods": ["api_key", "google_adc"] |
| }, |
| { |
| "id": "azure", |
| "api_key_vars": "AZURE_API_KEY", |
| "url_param_vars": [ |
| "AZURE_RESOURCE_NAME", |
| "AZURE_DEPLOYMENT_NAME", |
| "AZURE_API_VERSION" |
| ], |
| "response_type": "OpenAI", |
| "url": "https://{{AZURE_RESOURCE_NAME}}.openai.azure.com/openai/deployments/{{AZURE_DEPLOYMENT_NAME}}/chat/completions?api-version={{AZURE_API_VERSION}}", |
| "models": "https://{{AZURE_RESOURCE_NAME}}.openai.azure.com/openai/models?api-version={{AZURE_API_VERSION}}", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "llama_cpp", |
| "api_key_vars": "LLAMA_CPP_API_KEY", |
| "url_param_vars": [ |
| {"name": "LLAMA_CPP_SSL_SCHEME", "options": ["http", "https"]}, |
| "LLAMA_CPP_HOST", |
| "LLAMA_CPP_PORT" |
| ], |
| "response_type": "OpenAI", |
| "url": "{{LLAMA_CPP_SSL_SCHEME}}://{{LLAMA_CPP_HOST}}:{{LLAMA_CPP_PORT}}/v1/chat/completions", |
| "models": "{{LLAMA_CPP_SSL_SCHEME}}://{{LLAMA_CPP_HOST}}:{{LLAMA_CPP_PORT}}/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "vllm", |
| "api_key_vars": "VLLM_API_KEY", |
| "url_param_vars": [ |
| {"name": "VLLM_SSL_SCHEME", "options": ["http", "https"]}, |
| "VLLM_HOST", |
| {"name": "VLLM_PORT", "optional": true} |
| ], |
| "response_type": "OpenAI", |
| "url": "{{VLLM_SSL_SCHEME}}://{{VLLM_HOST}}{{#if VLLM_PORT}}:{{VLLM_PORT}}{{/if}}/v1/chat/completions", |
| "models": "{{VLLM_SSL_SCHEME}}://{{VLLM_HOST}}{{#if VLLM_PORT}}:{{VLLM_PORT}}{{/if}}/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "jan_ai", |
| "api_key_vars": "JAN_AI_API_KEY", |
| "url_param_vars": [ |
| {"name": "JAN_AI_SSL_SCHEME", "options": ["http", "https"]}, |
| "JAN_AI_HOST", |
| "JAN_AI_PORT" |
| ], |
| "response_type": "OpenAI", |
| "url": "{{JAN_AI_SSL_SCHEME}}://{{JAN_AI_HOST}}:{{JAN_AI_PORT}}/v1/chat/completions", |
| "models": "{{JAN_AI_SSL_SCHEME}}://{{JAN_AI_HOST}}:{{JAN_AI_PORT}}/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "ollama", |
| "api_key_vars": "OLLAMA_API_KEY", |
| "url_param_vars": [ |
| {"name": "OLLAMA_SSL_SCHEME", "options": ["http", "https"]}, |
| "OLLAMA_HOST", |
| "OLLAMA_PORT" |
| ], |
| "response_type": "OpenAI", |
| "url": "{{OLLAMA_SSL_SCHEME}}://{{OLLAMA_HOST}}:{{OLLAMA_PORT}}/v1/chat/completions", |
| "models": "{{OLLAMA_SSL_SCHEME}}://{{OLLAMA_HOST}}:{{OLLAMA_PORT}}/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "lm_studio", |
| "api_key_vars": "LM_STUDIO_API_KEY", |
| "url_param_vars": [ |
| {"name": "LM_STUDIO_SSL_SCHEME", "options": ["http", "https"]}, |
| "LM_STUDIO_HOST", |
| "LM_STUDIO_PORT" |
| ], |
| "response_type": "OpenAIResponses", |
| "url": "{{LM_STUDIO_SSL_SCHEME}}://{{LM_STUDIO_HOST}}:{{LM_STUDIO_PORT}}/v1/responses", |
| "models": "{{LM_STUDIO_SSL_SCHEME}}://{{LM_STUDIO_HOST}}:{{LM_STUDIO_PORT}}/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "forge_services", |
| "provider_type": "context_engine", |
| "url_param_vars": ["FORGE_WORKSPACE_SERVER_URL"], |
| "url": "{{FORGE_WORKSPACE_SERVER_URL}}", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "io_intelligence", |
| "api_key_vars": "IO_INTELLIGENCE_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.intelligence.io.solutions/api/v1/chat/completions", |
| "models": "https://api.intelligence.io.solutions/api/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "bedrock", |
| "url_param_vars": ["AWS_REGION"], |
| "response_type": "Bedrock", |
| "url": "https://bedrock-runtime.{{AWS_REGION}}.amazonaws.com", |
| "models": [ |
| { |
| "id": "jp.anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8 (JP)", |
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| "tools_supported": true, |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "au.anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8 (AU)", |
| "description": "", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "global.anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8 (Global)", |
| "description": "", |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "eu.anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8 (EU)", |
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| "tools_supported": true, |
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| }, |
| { |
| "id": "us.anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8 (US)", |
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| { |
| "id": "anthropic.claude-opus-4-8", |
| "name": "Claude Opus 4.8", |
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| { |
| "id": "google.gemma-3-27b-it", |
| "name": "Google Gemma 3 27B Instruct", |
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| { |
| "id": "moonshotai.kimi-k2.5", |
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| } |
| ], |
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| }, |
| { |
| "id": "opencode_go", |
| "api_key_vars": "OPENCODE_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenCode", |
| "url": "https://opencode.ai/zen/go", |
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| "id": "qwen3.7-max", |
| "name": "Qwen3.7 Max", |
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| }, |
| { |
| "id": "mimo-v2.5-pro", |
| "name": "MiMo V2.5 Pro", |
| "description": "MiMo V2.5 Pro model", |
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| "id": "mimo-v2.5", |
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| { |
| "id": "deepseek-v4-flash", |
| "name": "DeepSeek V4 Flash", |
| "description": "DeepSeek V4 Flash model", |
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| { |
| "id": "deepseek-v4-pro", |
| "name": "DeepSeek V4 Pro", |
| "description": "DeepSeek V4 Pro model", |
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| { |
| "id": "glm-5.1", |
| "name": "GLM 5.1", |
| "description": "Zhipu AI's latest flagship model with 204K context, reasoning, and tool calling capabilities", |
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| }, |
| { |
| "id": "minimax-m2.7", |
| "name": "MiniMax M2.7", |
| "description": "MiniMax's latest model with enhanced reasoning and 204K context", |
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| "tools_supported": true, |
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| { |
| "id": "qwen3.6-plus", |
| "name": "Qwen3.6 Plus", |
| "description": "Advanced reasoning model with enhanced capabilities", |
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| }, |
| { |
| "id": "kimi-k2.6", |
| "name": "Kimi K2.6", |
| "description": "Moonshot AI Kimi K2.6 model with multimodal input, reasoning, and tool calling capabilities", |
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| }, |
| { |
| "id": "kimi-k3", |
| "name": "Kimi K3", |
| "description": "Moonshot AI Kimi K3 flagship model with 2.8T parameters, 1M-token context, native vision, always-on reasoning, and tool calling capabilities", |
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| { |
| "id": "glm-5.2", |
| "name": "GLM-5.2", |
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| }, |
| { |
| "id": "kimi-k2.7-code", |
| "name": "Kimi K2.7 Code", |
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| }, |
| { |
| "id": "minimax-m3", |
| "name": "MiniMax M3", |
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| "context_length": 512000, |
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| "supports_parallel_tool_calls": true, |
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| { |
| "id": "qwen3.7-plus", |
| "name": "Qwen3.7 Plus", |
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| } |
| ], |
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| }, |
| { |
| "id": "alibaba_coding", |
| "provider_type": "llm", |
| "api_key_vars": "ALIBABA_CODING_API_KEY", |
| "url_param_vars": ["ANTHROPIC_COMPACT_URL"], |
| "response_type": "Anthropic", |
| "url": "{{ANTHROPIC_COMPACT_URL}}/messages", |
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| { |
| "id": "qwen3.5-plus", |
| "name": "Qwen 3.5 plus", |
| "description": "Alibaba's Qwen3.5 Plus is an enhanced general-purpose model in the Qwen3.5 API tier, supporting both text and image input. Offers hybrid thinking modes (step-by-step reasoning and fast direct responses), strong multilingual coverage across 119+ languages, and improved agentic and tool-use capabilities over Qwen3.", |
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| }, |
| { |
| "id": "kimi-k2.5", |
| "name": "Kimi K2.5", |
| "description": "Kimi K2.5 is an updated iteration of Moonshot AI's Kimi K2 — a 1-trillion-parameter Mixture-of-Experts model (32B active parameters) trained with the MuonClip optimizer on 15.5T tokens. Delivers frontier performance in agentic tasks, tool use, coding (SWE-bench 65.8%), math, and reasoning. Supports multimodal input (text and image).", |
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| { |
| "id": "glm-5", |
| "name": "GLM 5", |
| "description": "GLM-5 is the 5th-generation model in Zhipu AI's GLM (General Language Model) series. Builds on GLM-4 with improved reasoning, instruction following, tool use, and code generation capabilities. Designed for complex question answering, agent workflows, and multi-turn conversations.", |
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| }, |
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| "name": "MiniMax M2.5", |
| "description": "MiniMax M2.5 is a 230B-parameter Mixture-of-Experts model with 10B active parameters per inference, designed for high-throughput, low-latency production environments. Delivers SOTA performance in coding (Multi-SWE-Bench), agentic task decomposition, office scenarios (Excel, Word, PPT), and search-augmented reasoning. Available at competitive pricing (~$0.3/M input tokens).", |
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| }, |
| { |
| "id": "qwen3-max-2026-01-23", |
| "name": "Qwen 3 Max", |
| "description": "Qwen3 Max (snapshot 2026-01-23) is Alibaba's flagship Qwen3 API model. Features hybrid thinking modes — extended chain-of-thought reasoning and instant non-thinking responses — with strong benchmark results in coding, math, and general tasks comparable to DeepSeek-R1, o1, and Gemini 2.5 Pro. Pre-trained on ~36T tokens across 119 languages.", |
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| }, |
| { |
| "id": "qwen3-coder-next", |
| "name": "Qwen 3 Coder Next", |
| "description": "Qwen3-Coder Next is Alibaba's next-generation agentic coding model, successor to Qwen3-Coder Plus. Built on a 480B-parameter MoE architecture (35B active parameters), trained on 7.5T tokens with 70% code ratio. Natively supports 256K context (extendable to 1M via YaRN). Achieves SOTA on SWE-Bench Verified among open models, with strong performance on agentic coding, browser-use, and tool-use tasks.", |
| "context_length": 256000, |
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| }, |
| { |
| "id": "qwen3-coder-plus", |
| "name": "Qwen 3 Coder Plus", |
| "description": "Qwen3-Coder Plus is Alibaba's dedicated agentic coding model, based on the Qwen3-Coder-480B-A35B architecture (480B total, 35B active parameters). Pre-trained on 7.5T tokens with 70% code ratio and fine-tuned with long-horizon reinforcement learning on 20,000 parallel environments. Natively supports 256K context (extendable to 1M via YaRN). Comparable to Claude Sonnet 4 on agentic coding benchmarks.", |
| "context_length": 256000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
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| }, |
| { |
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| "name": "Qwen3.7 Max", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
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| }, |
| { |
| "id": "glm-4.7", |
| "name": "GLM 4.7", |
| "description": "GLM-4.7 is a version in Zhipu AI's GLM-4 API model family. Offers strong performance in Chinese and English for instruction following, reasoning, tool use, and multi-turn dialogue. Part of the same generation as GLM-4-Plus, with improvements in long-context handling and structured output.", |
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| "tools_supported": true, |
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| { |
| "id": "qwen3.6-plus", |
| "name": "Qwen3.6 Plus", |
| "description": "Alibaba's Qwen3.6 Plus model with multimodal input, agentic tool use, and advanced reasoning capabilities.", |
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| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "alibaba_token_plan", |
| "api_key_vars": "ALIBABA_TOKEN_PLAN_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://token-plan.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions", |
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| "id": "qwen3.8-max-preview", |
| "name": "Qwen3.8 Max Preview", |
| "description": "Alibaba's flagship Qwen3.8 Max preview model with 1M context, multimodal input, reasoning, and tool calling capabilities", |
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| { |
| "id": "qwen3.7-max", |
| "name": "Qwen3.7 Max", |
| "description": "Alibaba's Qwen3.7 Max model with 1M context, reasoning, and tool calling capabilities", |
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| "name": "Qwen3.7 Plus", |
| "description": "Alibaba's Qwen3.7 Plus model with 1M context, multimodal input, reasoning, and tool calling capabilities", |
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| }, |
| { |
| "id": "qwen3.6-plus", |
| "name": "Qwen3.6 Plus", |
| "description": "Alibaba's Qwen3.6 Plus model with 1M context, multimodal input, reasoning, and tool calling capabilities", |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "qwen3.6-flash", |
| "name": "Qwen3.6 Flash", |
| "description": "Alibaba's fast and economical Qwen3.6 Flash model with 1M context, multimodal input, reasoning, and tool calling capabilities", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "deepseek-v4-pro", |
| "name": "DeepSeek V4 Pro", |
| "description": "DeepSeek V4 Pro model with 1M context, reasoning, and tool calling capabilities", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "deepseek-v4-flash", |
| "name": "DeepSeek V4 Flash", |
| "description": "Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "deepseek-v3.2", |
| "name": "DeepSeek V3.2", |
| "description": "DeepSeek V3.2 model with reasoning and tool calling capabilities", |
| "context_length": 131072, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "kimi-k2.7-code", |
| "name": "Kimi K2.7 Code", |
| "description": "Moonshot AI Kimi K2.7 Code model with 256K context, multimodal input, reasoning, and tool calling capabilities", |
| "context_length": 262144, |
| "tools_supported": true, |
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| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "kimi-k2.6", |
| "name": "Kimi K2.6", |
| "description": "Moonshot AI Kimi K2.6 model with multimodal input, reasoning, and tool calling capabilities", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
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| }, |
| { |
| "id": "kimi-k2.5", |
| "name": "Kimi K2.5", |
| "description": "Moonshot AI Kimi K2.5 model with multimodal input, reasoning, and tool calling capabilities", |
| "context_length": 262144, |
| "tools_supported": true, |
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| }, |
| { |
| "id": "glm-5.2", |
| "name": "GLM-5.2", |
| "description": "Zhipu AI GLM-5.2 flagship model with 1M context, reasoning, and tool calling capabilities", |
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| { |
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| "name": "GLM-5.1", |
| "description": "Zhipu AI GLM-5.1 model with 200K context, reasoning, and tool calling capabilities", |
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| }, |
| { |
| "id": "glm-5", |
| "name": "GLM-5", |
| "description": "Zhipu AI GLM-5 model with 200K context, reasoning, and tool calling capabilities", |
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| "tools_supported": true, |
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| }, |
| { |
| "id": "MiniMax-M2.5", |
| "name": "MiniMax M2.5", |
| "description": "MiniMax M2.5 model with reasoning and tool calling capabilities", |
| "context_length": 196608, |
| "tools_supported": true, |
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| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "novita", |
| "api_key_vars": "NOVITA_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.novita.ai/openai/v1/chat/completions", |
| "models": [ |
| { |
| "id": "zai-org/glm-5.2", |
| "name": "GLM-5.2", |
| "description": "GLM-5.2 is Z.AI's latest flagship model, meticulously engineered for long-horizon autonomous tasks with 1M context window and 128K maximum output", |
| "context_length": 1048576, |
| "tools_supported": true, |
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| { |
| "id": "zai-org/glm-5.1", |
| "name": "GLM-5.1", |
| "description": "GLM-5.1 is Z.AI's latest flagship model, meticulously engineered for long-horizon autonomous tasks. Capable of working continuously on a single assignment for up to 8 hours,", |
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| "input_modalities": ["text"] |
| }, |
| { |
| "id": "moonshotai/kimi-k2.5", |
| "name": "Kimi K2.5", |
| "description": "Moonshot AI's flagship MoE model with 262K context, function calling, structured output, reasoning, and vision capabilities", |
| "context_length": 262144, |
| "tools_supported": true, |
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| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "zai-org/glm-5", |
| "name": "GLM-5", |
| "description": "Zhipu AI's flagship MoE model with 202K context, function calling, structured output, and reasoning capabilities", |
| "context_length": 202800, |
| "tools_supported": true, |
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| "input_modalities": ["text"] |
| }, |
| { |
| "id": "minimax/minimax-m2.5", |
| "name": "MiniMax M2.5", |
| "description": "MiniMax's MoE model with 204K context, function calling, structured output, and reasoning capabilities", |
| "context_length": 204800, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "qwen/qwen3-embedding-0.6b", |
| "name": "Qwen3 Embedding 0.6B", |
| "description": "Qwen3 embedding model with 1024 dimensions and 8K max input", |
| "context_length": 8192, |
| "tools_supported": false, |
| "input_modalities": ["text"] |
| } |
| ], |
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| }, |
| { |
| "id": "fireworks-ai", |
| "api_key_vars": "FIREWORKS_AI_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.fireworks.ai/inference/v1/chat/completions", |
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| "id": "accounts/fireworks/models/kimi-k2p6", |
| "name": "Kimi K2.6", |
| "description": "Kimi K2.6 model", |
| "context_length": 262144, |
| "tools_supported": true, |
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| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "accounts/fireworks/models/gpt-oss-120b", |
| "name": "GPT OSS 120B", |
| "description": "GPT OSS 120B model", |
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| "tools_supported": true, |
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| }, |
| { |
| "id": "accounts/fireworks/models/gpt-oss-20b", |
| "name": "GPT OSS 20B", |
| "description": "GPT OSS 20B model", |
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| }, |
| { |
| "id": "accounts/fireworks/models/deepseek-v4-flash", |
| "name": "DeepSeek V4 Flash", |
| "description": "DeepSeek V4 Flash model", |
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| { |
| "id": "accounts/fireworks/models/deepseek-v4-pro", |
| "name": "DeepSeek V4 Pro", |
| "description": "DeepSeek V4 Pro model", |
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| { |
| "id": "accounts/fireworks/models/glm-5p1", |
| "name": "GLM 5.1", |
| "description": "GLM 5.1 model", |
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| }, |
| { |
| "id": "accounts/fireworks/models/glm-5p2", |
| "name": "GLM 5.2", |
| "description": "GLM 5.2 model", |
| "context_length": 1048576, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "accounts/fireworks/models/kimi-k2p7-code", |
| "name": "Kimi K2.7 Code", |
| "description": "Kimi K2.7 Code model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "accounts/fireworks/models/minimax-m2p7", |
| "name": "MiniMax-M2.7", |
| "description": "MiniMax-M2.7 model", |
| "context_length": 196608, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "accounts/fireworks/models/minimax-m3", |
| "name": "MiniMax-M3", |
| "description": "MiniMax-M3 model", |
| "context_length": 512000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "accounts/fireworks/models/qwen3p7-plus", |
| "name": "Qwen 3.7 Plus", |
| "description": "Qwen 3.7 Plus model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "accounts/fireworks/routers/glm-5p1-fast", |
| "name": "GLM 5.1 Fast", |
| "description": "GLM 5.1 Fast model", |
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| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "accounts/fireworks/routers/kimi-k2p7-code-fast", |
| "name": "Kimi K2.7 Code Fast", |
| "description": "Kimi K2.7 Code Fast model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "accounts/fireworks/routers/kimi-k2p6-turbo", |
| "name": "Kimi K2.6 Turbo", |
| "description": "Kimi K2.6 Turbo model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| }, |
| { |
| "id": "accounts/fireworks/routers/kimi-k2p6-fast", |
| "name": "Kimi K2.6 Fast", |
| "description": "Kimi K2.6 Fast model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| } |
| ] |
| }, |
| { |
| "id": "fireworks-ai-firepass", |
| "api_key_vars": "FIREWORKS_AI_FIREPASS_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.fireworks.ai/inference/v1/chat/completions", |
| "auth_methods": ["api_key"], |
| "models": [ |
| { |
| "id": "accounts/fireworks/routers/kimi-k2p6-turbo", |
| "name": "Kimi K2.6 Turbo (firepass)", |
| "description": "Kimi K2.6 Turbo model", |
| "context_length": 262144, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| } |
| ] |
| }, |
| { |
| "id": "modal", |
| "api_key_vars": "MODAL_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.us-west-2.modal.direct/v1/chat/completions", |
| "models": [ |
| { |
| "id": "zai-org/GLM-5-FP8", |
| "name": "GLM-5", |
| "description": "Z.ai's 745B parameter flagship open-source MoE model for long-horizon agents and systems engineering, hosted on Modal", |
| "context_length": 192000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "adal", |
| "api_key_vars": "ADAL_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.sylph.ai/v1/chat/completions", |
| "models": "https://api.sylph.ai/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "xiaomi_mimo", |
| "api_key_vars": "XIAOMI_MIMO_API_KEY", |
| "url_param_vars": [ |
| { "name": "CLUSTER", "options": ["token-plan-sgp.xiaomimimo.com", "token-plan-cn.xiaomimimo.com", "token-plan-ams.xiaomimimo.com"] } |
| ], |
| "response_type": "OpenAI", |
| "url": "https://{{#if CLUSTER}}{{CLUSTER}}{{else}}token-plan-sgp.xiaomimimo.com{{/if}}/v1/chat/completions", |
| "models": [ |
| { |
| "id": "mimo-v2.5-pro", |
| "name": "MiMo V2.5 Pro", |
| "description": "Xiaomi's latest flagship foundation model with enhanced reasoning and agent capabilities", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "mimo-v2.5", |
| "name": "MiMo V2.5", |
| "description": "Xiaomi's balanced V2.5 model for general-purpose tasks", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "mimo-v2-pro", |
| "name": "MiMo V2 Pro", |
| "description": "Xiaomi's flagship foundation model with 1T+ parameters and 1M context length", |
| "context_length": 1000000, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text"] |
| }, |
| { |
| "id": "mimo-v2-omni", |
| "name": "MiMo V2 Omni", |
| "description": "Xiaomi's omni-modal model that natively processes image, video, and audio inputs", |
| "context_length": 262100, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| } |
| ], |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "nvidia", |
| "api_key_vars": "NVIDIA_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://integrate.api.nvidia.com/v1/chat/completions", |
| "models": "https://integrate.api.nvidia.com/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "ambient", |
| "api_key_vars": "AMBIENT_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.ambient.xyz/v1/chat/completions", |
| "models": "https://api.ambient.xyz/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "orca_router", |
| "api_key_vars": "ORCAROUTER_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAI", |
| "url": "https://api.orcarouter.ai/v1/chat/completions", |
| "models": "https://api.orcarouter.ai/v1/models", |
| "auth_methods": ["api_key"] |
| }, |
| { |
| "id": "meta", |
| "api_key_vars": "META_API_KEY", |
| "url_param_vars": [], |
| "response_type": "OpenAIResponses", |
| "url": "https://api.meta.ai/v1/responses", |
| "models": [ |
| { |
| "id": "muse-spark-1.1", |
| "name": "Muse Spark 1.1", |
| "description": "Meta's multimodal model for agentic tool calling, coding, structured output, image and video understanding, and long-context reasoning", |
| "context_length": 1048576, |
| "tools_supported": true, |
| "supports_parallel_tool_calls": true, |
| "supports_reasoning": true, |
| "input_modalities": ["text", "image"] |
| } |
| ], |
| "auth_methods": ["api_key"] |
| } |
| ] |
|
|
