Add MiniMax model support (M2.5 + M2.7) via OpenAI-compatible API#7393
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octo-patch wants to merge 2 commits intomicrosoft:mainfrom
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Add MiniMax model support (M2.5 + M2.7) via OpenAI-compatible API#7393octo-patch wants to merge 2 commits intomicrosoft:mainfrom
octo-patch wants to merge 2 commits intomicrosoft:mainfrom
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Add MiniMax M2.5 and M2.5-highspeed models to the OpenAI client, following the same pattern used for Gemini, Anthropic, and Llama providers. Changes include: - Add MINIMAX_M2_5 to ModelFamily with is_minimax() helper - Register MiniMax models in _model_info.py (capabilities, token limits) - Auto-detect MiniMax model prefix for base_url and MINIMAX_API_KEY - Add MiniMax section to models tutorial documentation
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Upgrade MiniMax integration to include the latest M2.7 flagship models alongside existing M2.5 models. M2.7 offers the same 204K context window, vision, function calling, and structured output capabilities. Co-Authored-By: Octopus <liyuan851277048@icloud.com>
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Summary
This PR adds first-class support for MiniMax models to AutoGen's OpenAI-compatible client, following the same pattern used for Gemini, Anthropic, and Llama providers.
Supported Models
MiniMax-M2.7MiniMax-M2.7-highspeedMiniMax-M2.5MiniMax-M2.5-highspeedChanges
MINIMAX_M2_5andMINIMAX_M2_7toModelFamilywithis_minimax()helper method_model_info.pywith capabilities and 204K token limitsMINIMAX_API_BASE_URLconstant (https://api.minimax.io/v1)MINIMAX_API_KEYenv var and auto-configure base URL forMiniMax-*modelsUsage
Test Plan