feat: add MiniMax as a supported LLM provider#815
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octo-patch wants to merge 1 commit intoCinnamon:mainfrom
Open
feat: add MiniMax as a supported LLM provider#815octo-patch wants to merge 1 commit intoCinnamon:mainfrom
octo-patch wants to merge 1 commit 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>
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Summary
ChatMiniMaxclass with MiniMax-specific parameter handling (temperature clamping to (0, 1.0], automaticresponse_formatremoval)MiniMax-M2.5(default),MiniMax-M2.5-highspeed— both with 204K context windowChanges
libs/kotaemon/kotaemon/llms/chats/minimax.pyChatMiniMaxclass extendingChatOpenAIlibs/kotaemon/kotaemon/llms/chats/__init__.pyChatMiniMaxlibs/kotaemon/kotaemon/llms/__init__.pyChatMiniMaxlibs/ktem/ktem/llms/manager.pyChatMiniMaxas vendorflowsettings.py.env.exampleMINIMAX_API_KEYREADME.mdlibs/kotaemon/tests/test_llms_chat_models.pyChatMiniMaxConfiguration
Users can enable MiniMax by setting the API key in
.env:Both global (
https://api.minimax.io/v1) and China (https://api.minimaxi.com/v1) endpoints are supported.Test plan
🤖 Generated with Claude Code