feat: add MiniMax provider support#35
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- Add MiniMax (MiniMax-M2.7) to the onboarding wizard as a primary provider option, routed through LiteLLM - Document MINIMAX_API_KEY in .env.example with DEFAULT_MODEL example - Update README to list MiniMax in the supported providers section - Add unit tests (11) covering provider registration, model resolution, and environment variable documentation - Add integration tests (2) verifying chat completion and streaming against the MiniMax OpenAI-compatible API API docs: - Chat (OpenAI Compatible): https://platform.minimax.io/docs/api-reference/text-openai-api - Chat (Anthropic Compatible): https://platform.minimax.io/docs/api-reference/text-anthropic-api
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Summary
Add MiniMax as a primary AI provider option in OpenSwarm, enabling users to run all agents with MiniMax-M2.7 models via the existing LiteLLM routing infrastructure.
Changes
onboard.py: Add MiniMax to thePROVIDERSlist withMINIMAX_API_KEYenv var andminimax/MiniMax-M2.7as default model.env.example: DocumentMINIMAX_API_KEYand addDEFAULT_MODELexample for MiniMaxREADME.md: List MiniMax in the "Required (choose one)" API keys sectiontests/: Add 11 unit tests (provider registration, model resolution, env docs) and 2 integration tests (chat completion, streaming)How it works
MiniMax is natively supported by LiteLLM (docs), so no changes to
config.pyare needed. The existing_resolve()function correctly routesminimax/MiniMax-M2.7throughLitellmModel, andis_openai_provider()correctly identifies it as non-OpenAI.Models
MiniMax-M2.7MiniMax-M2.7-highspeedAPI docs
Test plan
python swarm.py, select MiniMax in onboarding wizard, verify agents work