feat: add MiniMax as first-class LLM provider - #163
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Add MiniMax AI (MiniMax-M2.7, MiniMax-M2.7-highspeed) as a built-in LLM provider using its OpenAI-compatible API. Backend: - Route minimax provider through ChatOpenAI with MiniMax base URL - Auto-detect MINIMAX_API_KEY from environment - Clamp temperature to (0, 1] range (MiniMax constraint) - Enable streaming by default Frontend: - Add minimax to AVAILABLE_MODELS dropdown with M2.7 models - Show base URL field for custom proxy configuration Also includes: - .env.example: MINIMAX_API_KEY entry - README: MiniMax setup documentation - 13 unit tests + 3 integration tests
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Summary
Adds MiniMax as a built-in LLM provider for Tribe, enabling users to select MiniMax-M2.7 and MiniMax-M2.7-highspeed models directly from the provider dropdown.
Changes
Backend (
backend/app/core/graph/members.py):minimaxprovider case inBaseNode.__init__usingChatOpenAIwith MiniMax's OpenAI-compatible API endpoint (https://api.minimax.io/v1)MINIMAX_API_KEYfrom environment variablesFrontend (
frontend/src/components/Members/EditMember.tsx):minimaxentry toAVAILABLE_MODELSwithMiniMax-M2.7andMiniMax-M2.7-highspeedmodelsConfiguration & Docs:
.env.example: AddedMINIMAX_API_KEY=placeholderREADME.md: Added "Using MiniMax Models" section with setup instructionsTests (
backend/app/tests/graph/test_minimax_provider.py):MINIMAX_API_KEYis not set)Test Plan
minimaxprovider in the Edit Member dialog, verify model dropdown shows M2.7 models