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feat: add MiniMax as a built-in LLM provider (#940)

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Add MiniMax to the provider registry with OpenAI-compatible protocol.

Available models:
- MiniMax-M2.5 (default) - 204,800 token context window
- MiniMax-M2.5-highspeed - same performance, faster inference

Configuration:
  LLM_BACKEND=minimax
  MINIMAX_API_KEY=<your-key>

Supports both global (api.minimax.io) and China mainland
(api.minimaxi.com) endpoints via MINIMAX_BASE_URL env var.

Co-authored-by: PR Bot <[email protected]>
This commit is contained in:
Ethan Clarke
2026-03-12 11:17:24 -07:00
committed by GitHub
co-authored by PR Bot
parent f776d96395
commit 863702a87a
3 changed files with 47 additions and 0 deletions
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docs/LLM_PROVIDERS.md
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@@ -15,6 +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 |
| Cloudflare Workers AI | `cloudflare` | `CLOUDFLARE_API_KEY` | Access to Workers AI |
| Ollama | `ollama` | No | Local inference |
| AWS Bedrock | `bedrock` | AWS credentials | Native Converse API |
@@ -74,6 +75,25 @@ Pull a model first: `ollama pull llama3.2`
---
## MiniMax
[MiniMax](https://platform.minimax.io) provides high-performance language models with 204,800 token context windows.
```env
LLM_BACKEND=minimax
MINIMAX_API_KEY=...
```
Available models: `MiniMax-M2.5` (default), `MiniMax-M2.5-highspeed`
To use the China mainland endpoint, set:
```env
MINIMAX_BASE_URL=https://api.minimaxi.com/v1
```
---
## AWS Bedrock (requires `--features bedrock`)
Uses the native AWS Converse API via `aws-sdk-bedrockruntime`. Supports standard AWS