feat: upgrade MiniMax default model to M3#167
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- Add MiniMax-M3 as the suggested default in README, README_zh, config/env.example, docker/README.md and src/sirchmunk/api/settings.py - Keep MiniMax-M2.7 / MiniMax-M2.7-highspeed as alternatives - Drop deprecated MiniMax-M2.5 from the supported models list Co-Authored-By: Octopus <liyuan851277048@icloud.com>
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This pull request updates references and examples across the documentation (English and Chinese READMEs, Docker README), configuration templates (env.example), and settings code (settings.py) to feature the newer MiniMax-M3 model instead of or alongside the older MiniMax-M2.7 model. There are no review comments to evaluate, and I have no additional feedback to provide.
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Summary
Upgrade MiniMax model references to feature the latest M3 model as the suggested default.
Changes
MiniMax-M3as the suggested default inREADME.md,README_zh.md,config/env.example,docker/README.md, andsrc/sirchmunk/api/settings.pyMiniMax-M2.7andMiniMax-M2.7-highspeedas available alternativesMiniMax-M2.5reference from the supported models listWhy
MiniMax-M3 is the new flagship model with a 512K context window, 128K max output, and image input support across both OpenAI-compatible and Anthropic-compatible interfaces. Updating the documentation examples helps users land on the latest model out of the box.
Testing