feat: add MiniMax as built-in LLM provider (M2.7 default)#1374
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octo-patch wants to merge 2 commits intosimonw:mainfrom
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feat: add MiniMax as built-in LLM provider (M2.7 default)#1374octo-patch wants to merge 2 commits intosimonw:mainfrom
octo-patch wants to merge 2 commits intosimonw:mainfrom
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Register MiniMax-M2.5 and MiniMax-M2.5-highspeed as default models with OpenAI-compatible API integration. Includes temperature clamping (0, 1] per MiniMax API constraints, model aliases (minimax, m2.5, minimax-fast, m2.5-highspeed), and 30 tests (27 unit + 3 integration).
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list - Set MiniMax-M2.7 as default model (aliases: minimax, m2.7) - Keep all previous models (M2.5, M2.5-highspeed) as alternatives - Update related tests and README examples
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Summary
minimax→ M2.7,minimax-fast→ M2.7-highspeedChanges
llm/default_plugins/minimax_models.py— New MiniMax provider pluginllm/plugins.py— Register MiniMax as default plugintests/test_minimax_models.py— 31 unit tests + 3 integration testsREADME.md— Add MiniMax usage examplespyproject.toml— Update descriptionWhy
MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities. Adding it as a built-in provider makes it easy for users to access MiniMax models without installing plugins.
Testing