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feat: add MiniMax LLM provider support (M3 default)#1964

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octo-patch:feature/add-minimax-provider
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feat: add MiniMax LLM provider support (M3 default)#1964
octo-patch wants to merge 3 commits into
FoundationAgents:mainfrom
octo-patch:feature/add-minimax-provider

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@octo-patch octo-patch commented Mar 13, 2026 •
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Summary

Add MiniMax as a first-class LLM provider for MetaGPT via its OpenAI-compatible API, with MiniMax-M3 set as the default recommended model.

Changes

  • Add LLMType.MINIMAX enum value in llm_config.py
  • Register MINIMAX in OpenAILLM provider routing in openai_api.py
  • Add temperature clamping for MiniMax (requires > 0)
  • Add token costs and context window limits for MiniMax-M3 (default), MiniMax-M2.7, and MiniMax-M2.7-highspeed
  • Add MiniMax config example in config2.example.yaml
  • Add MiniMax usage example in README

Models Supported

Model Context Window Pricing (Input / Output per 1M tokens) Notes
MiniMax-M3 512K $0.6 / $2.4 Default recommended — latest model, 128K max output, image input support
MiniMax-M2.7 204K $1.4 / $7.0 Previous generation
MiniMax-M2.7-highspeed 204K $1.4 / $7.0 Low-latency variant of M2.7

Configuration

llm:
  api_type: "minimax"
  model: "MiniMax-M3"
  base_url: "https://api.minimax.io/v1"
  api_key: "YOUR_MINIMAX_API_KEY"
  temperature: 0.5  # MiniMax requires temperature in (0.0, 1.0]

Testing

  • Verified MiniMax-M3 model responds correctly via API
  • Token counter and context window values validated programmatically
  • LLMType enum verified

@octo-patch
feat: add MiniMax LLM provider support
2550f5c 
Add MiniMax as a new LLM provider using its OpenAI-compatible API.
MiniMax offers models like MiniMax-M2.5 with 204K context window.

Changes:
- Add MINIMAX to LLMType enum
- Register MiniMax provider in OpenAILLM (OpenAI-compatible)
- Handle MiniMax temperature constraint (must be > 0)
- Add token costs and context lengths for MiniMax models
- Add MiniMax configuration example in config2.example.yaml
- Update README with MiniMax usage example
@octo-patch
feat: upgrade MiniMax default model to M2.7
abadbcb 
Add MiniMax-M2.7 to token costs and context window definitions.
Update config examples and README to recommend M2.7 as the default model.
@octo-patch octo-patch changed the title feat: add MiniMax LLM provider support feat: add MiniMax LLM provider support (M2.7 default) Mar 18, 2026
feat: upgrade MiniMax default model to M3
75f1be8 
- Add MiniMax-M3 to model list and set as default
- Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed
- Remove older models (M2.5/M2.5-highspeed/M1)
- M3: 512K context, $0.6/M input, $2.4/M output
- Update related docs
@octo-patch octo-patch changed the title feat: add MiniMax LLM provider support (M2.7 default) feat: add MiniMax LLM provider support (M3 default) Jun 2, 2026
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