Add MiniMax as a first-class LLM provider (M2.7 default)#1834
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octo-patch wants to merge 2 commits intodottxt-ai:mainfrom
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Add MiniMax as a first-class LLM provider (M2.7 default)#1834octo-patch wants to merge 2 commits intodottxt-ai:mainfrom
octo-patch wants to merge 2 commits intodottxt-ai:mainfrom
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March 17, 2026 19:22
Add MiniMax Cloud API integration using the OpenAI-compatible SDK. MiniMax offers M2.5 and M2.5-highspeed models with 204K context windows. Key features: - MiniMax and AsyncMiniMax model classes with sync/async support - MiniMaxTypeAdapter handling json_object mode fallback - Temperature clamping (MiniMax requires temp in (0.0, 1.0]) - Automatic stripping of thinking tags and markdown code fences - from_minimax() factory function registered in outlines namespace - 37 unit tests + 11 integration tests covering all code paths Files changed: - outlines/models/minimax.py (new) - outlines/models/__init__.py (register provider) - tests/models/test_minimax.py (new) - tests/models/test_minimax_type_adapter.py (new) - README.md (add MiniMax to API support list)
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model documentation - Set MiniMax-M2.7 as default model in examples and tests - Keep all previous models (M2.5, M2.5-highspeed) as alternatives - Update related unit tests
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Summary
Changes
from_minimax()factory function for easy setupWhy
MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities, available via an OpenAI-compatible API at https://api.minimax.io/v1.
Testing