feat: add MiniMax as a supported LLM provider with M2.7 as default#815
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octo-patch wants to merge 2 commits intoCinnamon:mainfrom
Open
feat: add MiniMax as a supported LLM provider with M2.7 as default#815octo-patch wants to merge 2 commits intoCinnamon:mainfrom
octo-patch wants to merge 2 commits intoCinnamon:mainfrom
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Add native support for MiniMax large language models (MiniMax-M2.5, MiniMax-M2.5-highspeed) via their OpenAI-compatible API endpoint. Changes: - Add ChatMiniMax class extending ChatOpenAI with MiniMax-specific defaults and parameter handling (temperature clamping, response_format removal) - Register ChatMiniMax in LLMManager vendors for UI model selection - Add default MiniMax configuration in flowsettings.py - Add MINIMAX_API_KEY to .env.example - Add unit test for ChatMiniMax - Update README to mention MiniMax in supported providers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list - Set MiniMax-M2.7 as default model - Keep all previous models as alternatives - Update related tests
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Summary
Changes
libs/kotaemon/kotaemon/llms/chats/minimax.py— ChatMiniMax class extending ChatOpenAIlibs/ktem/ktem/llms/manager.py— Register ChatMiniMax as vendorflowsettings.py— Default MiniMax config with M2.7.env.example— MINIMAX_API_KEY placeholderREADME.md— MiniMax documentation with available modelslibs/kotaemon/tests/test_llms_chat_models.py— Unit tests for MiniMax model, default verification, temp clamping, backward compatibilityWhy
MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities.
Testing