Add MiniMax as LLM provider via OpenAI-compatible API#73
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octo-patch wants to merge 1 commit intorun-llama:mainfrom
Open
Add MiniMax as LLM provider via OpenAI-compatible API#73octo-patch wants to merge 1 commit intorun-llama:mainfrom
octo-patch wants to merge 1 commit intorun-llama:mainfrom
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Add MiniMax AI (MiniMax-M2.7, MiniMax-M2.7-highspeed) as a new LLM provider using LlamaIndex's OpenAI class with a custom api_base pointing to https://api.minimax.io/v1. Users can select MiniMax via the prefix format "minimax:<model_name>" in the RAG config UI. - Add "minimax" case to _resolve_llm() in core/utils.py - Update README with MiniMax model IDs and API key setup - Add 14 unit tests and 3 integration tests
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Summary
"minimax:<model_name>"prefix format, consistent with existing providers (OpenAI, Anthropic, Replicate)OpenAIclass with a customapi_basepointing to MiniMax's OpenAI-compatible endpoint (https://api.minimax.io/v1)MiniMax-M2.7(default) andMiniMax-M2.7-highspeed(faster variant)Changes
core/utils.pyminimaxcase to_resolve_llm()with temperature=1.0 defaultREADME.mdtests/test_minimax_provider.pytests/test_minimax_integration.pyUsage
minimax_key = "<your_key>"to.streamlit/secrets.tomlminimax:MiniMax-M2.7orminimax:MiniMax-M2.7-highspeedin the RAG Config pageTest plan
pytest tests/test_minimax_provider.py)