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Add MiniMax M2.7/M2.5 as LLM provider with temperature clamping#82
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Add MiniMax M2.7/M2.5 as LLM provider with temperature clamping#82octo-patch wants to merge 1 commit into
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- handlers/base.py: register MiniMax-M2.7, MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2.5-highspeed in llm_map via ChatOpenAI with base_url=https://api.minimax.io/v1; clamp temperature to (0.01, 1.0] - endpoints/chat.py: add all four MiniMax models to available_models - ui/main.py: add MiniMax models to Streamlit selectbox - example.env: add MINIMAX_API_KEY placeholder - README.md: add supported providers table with MiniMax entry - tests/: 13 unit + 9 integration tests (22 total, all passing)
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Summary
llm_mapinBaseHandlervia the OpenAI-compatible API athttps://api.minimax.io/v1(0.01, 1.0]for MiniMax (API constraint), while leaving OpenAI/Anthropic models unaffected/chatendpointavailable_modelslist and the Streamlit UI selectboxMINIMAX_API_KEYenv var toexample.envand documents supported providers in READMETest plan
python -m pytest tests/ -v— 22 passed, 0 failedllm_mapMINIMAX_API_KEYenv var picked up correctlyUsage
Add
MINIMAX_API_KEY=<your-key>to.env, then select anyMiniMax-*model from the chat UI or POST to/chatwith"model": "MiniMax-M2.7".