feat: add MiniMax as a supported LLM provider (M2.7 default)#438
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octo-patch wants to merge 2 commits intoalgorithmicsuperintelligence:mainfrom
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feat: add MiniMax as a supported LLM provider (M2.7 default)#438octo-patch wants to merge 2 commits intoalgorithmicsuperintelligence:mainfrom
octo-patch wants to merge 2 commits intoalgorithmicsuperintelligence:mainfrom
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MiniMax offers OpenAI-compatible API with models like MiniMax-M2.5 and MiniMax-M2.5-highspeed (204K context window). This commit adds: - MiniMax provider section in README (setup guide, cost estimation) - Example config file (configs/minimax_config.yaml) - Updated test env to support MiniMax API key validation Co-Authored-By: octo-patch <octo-patch@users.noreply.github.com>
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I've updated the commit author to be properly linked to my GitHub account. The CLA check should pass now. @CLAassistant check |
- Update MiniMax-M2.7 and MiniMax-M2.7-highspeed as default models - Update config, README, and docs references - Keep all previous models as alternatives
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Summary
Add MiniMax as a supported LLM provider for OpenEvolve, with the latest M2.7 model as default.
Changes
configs/minimax_config.yaml) with M2.7 and M2.7-highspeed modelsModels
Why
MiniMax provides an OpenAI-compatible API with 204K context window, making it a cost-effective alternative for code evolution tasks. M2.7 is the latest flagship model.
Testing