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Add MiniMax (MiniMax-M2.5, MiniMax-M2.5-highspeed) as a new LLM provider option alongside OpenAI and Azure OpenAI. MiniMax offers an OpenAI-compatible API with up to 204K context length. Changes: - Add MiniMax provider detection and API endpoint construction in awesome_chat.py with priority: local > azure > minimax > openai - Handle MiniMax temperature constraint (must be > 0) by adjusting zero values to 0.01 - Add MiniMax model encodings and context lengths in get_token_ids.py - Create config.minimax.yaml template for MiniMax configuration - Update README.md with MiniMax setup instructions
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Summary
Add MiniMax as a new LLM provider for JARVIS/HuggingGPT, alongside the existing OpenAI and Azure OpenAI options. MiniMax provides an OpenAI-compatible chat completions API with models offering up to 204K context length.
Changes
awesome_chat.py): Added MiniMax to the provider priority chain (local > azure > minimax > openai) with proper API endpoint construction, key resolution (config file orMINIMAX_API_KEYenv var), and Bearer token authenticationawesome_chat.py): MiniMax requires temperature in(0.0, 1.0]— zero values are automatically adjusted to0.01get_token_ids.py): AddedMiniMax-M2.5andMiniMax-M2.5-highspeedwithcl100k_baseencoding and 204,800 max context lengthconfig.minimax.yaml): New config file for MiniMax setup with all required fieldsREADME.md): Updated with MiniMax setup instructions and model optionsSupported Models
MiniMax-M2.5MiniMax-M2.5-highspeedUsage
cd hugginggpt python awesome_chat.py --config configs/config.minimax.yaml --mode serverTest Plan