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feat: upgrade MiniMax default model to M2.7 (#1357)

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* feat: upgrade MiniMax default model to M2.7

- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list
- Set MiniMax-M2.7 as default model
- Keep all previous models as alternatives
- Update related tests

* fix: use canonical model name in test per review

Use MiniMax-M2.7-highspeed (canonical casing) in the reasoning
models test for consistency with the documentation and provider
configuration.

[skip-regression-check]
This commit is contained in:
Octopus
2026-03-18 11:34:05 -07:00
committed by GitHub
parent 9286978547
commit 2d0b195321
4 changed files with 7 additions and 5 deletions
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docs/LLM_PROVIDERS.md
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@@ -15,7 +15,7 @@ configurations.
| io.net | `ionet` | `IONET_API_KEY` | Intelligence API |
| Mistral | `mistral` | `MISTRAL_API_KEY` | Mistral models |
| Yandex AI Studio | `yandex` | `YANDEX_API_KEY` | YandexGPT models |
| MiniMax | `minimax` | `MINIMAX_API_KEY` | MiniMax-M2.5 models |
| MiniMax | `minimax` | `MINIMAX_API_KEY` | MiniMax-M2.7 models |
| Cloudflare Workers AI | `cloudflare` | `CLOUDFLARE_API_KEY` | Access to Workers AI |
| Ollama | `ollama` | No | Local inference |
| AWS Bedrock | `bedrock` | AWS credentials | Native Converse API |
@@ -84,7 +84,7 @@ LLM_BACKEND=minimax
MINIMAX_API_KEY=...
```
Available models: `MiniMax-M2.5` (default), `MiniMax-M2.5-highspeed`
Available models: `MiniMax-M2.7` (default), `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`
To use the China mainland endpoint, set: