Evan
85db9c8d78
* feat(providers): add supports_thinking field to thinking-capable models Mark models that support extended thinking / reasoning with supports_thinking = true so the dashboard can conditionally show thinking toggles. Providers updated: anthropic (8), codex-cli (7), gemini (6), openai (3), qwen (2), deepseek (1). Schema updated accordingly. * feat(providers): add supports_thinking to remaining thinking-capable models Cover 19 additional providers: alibaba-coding-plan, allenai, arcee-ai, fireworks, gemini-cli, groq, liquid, nvidia-nim, ollama, openai (codex), openrouter, perplexity, qwen-code, replicate, sambanova, tngtech, venice, vertex-ai, xai. Total: 62 models across 24 providers now have supports_thinking = true. * feat(providers): add supports_thinking to chutes, huggingface, together Missed in prior commits: DeepSeek-R1 on chutes/huggingface/together, Qwen3-235B on chutes. Total now 66 models across 27 providers. * feat(providers): add supports_thinking to bedrock, claude-code, aider, moonshot, stepfun - bedrock: all 5 Claude models - claude-code: all 3 models (opus/sonnet/haiku wrappers) - aider: aider/sonnet (Claude-backed) - moonshot: kimi-k2.5 (reasoning mode) - stepfun: step-1o-turbo-vision (reasoning model) Total: 77 models across 32 providers. * feat(providers): add supports_thinking to alibaba kimi-k2.5, openrouter claude-sonnet-4
50 lines
1.1 KiB
TOML
50 lines
1.1 KiB
TOML
# Hugging Face — https://huggingface.co
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# Models: 3 (static entries; additional models discovered dynamically at runtime)
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[provider]
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id = "huggingface"
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display_name = "Hugging Face"
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api_key_env = "HF_API_KEY"
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base_url = "https://api-inference.huggingface.co/v1"
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key_required = true
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[[models]]
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id = "hf/meta-llama/Llama-3.3-70B-Instruct"
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display_name = "Llama 3.3 70B (HF)"
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tier = "balanced"
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context_window = 128000
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max_output_tokens = 4096
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input_cost_per_m = 0.30
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output_cost_per_m = 0.30
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supports_tools = false
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supports_vision = false
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supports_streaming = true
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aliases = []
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[[models]]
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id = "hf/deepseek-ai/DeepSeek-R1"
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display_name = "DeepSeek R1 (HF)"
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tier = "smart"
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context_window = 64000
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max_output_tokens = 4096
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input_cost_per_m = 0.30
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output_cost_per_m = 0.30
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supports_tools = false
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supports_vision = false
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supports_streaming = true
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supports_thinking = true
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aliases = []
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[[models]]
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id = "hf/Qwen/Qwen2.5-72B-Instruct"
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display_name = "Qwen 2.5 72B (HF)"
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tier = "balanced"
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context_window = 32768
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max_output_tokens = 4096
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input_cost_per_m = 0.30
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output_cost_per_m = 0.30
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supports_tools = false
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supports_vision = false
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supports_streaming = true
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aliases = []
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