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Adds bedrock_native.rs (Converse/InvokeModel with SigV4) and generic_passthrough.rs catch-all for Translate mode. Adds comprehensive provider reference docs (docs/providers/, docs/ENDPOINTS.md). Fixes managed backend admin UI (BackendForm, ManagedBackendsSection) and admin route/model handler issues. Adds automated model pricing update workflow (scripts/update_pricing.py, .github/workflows/update-pricing.yml). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.8 KiB
1.8 KiB
Xiaomi MiMo
Xiaomi's reasoning-focused language model with tool use support.
LiteLLM prefix: xiaomi_mimo/
Status: Stub — routes through OpenAI-compatible client
Docs: https://api.mimo.chat
Authentication
| Variable | Required | Description |
|---|---|---|
XIAOMI_MIMO_API_KEY |
Yes | API key from api.mimo.chat |
Quick Start
Single-Backend (env vars)
BACKEND=xiaomi_mimo XIAOMI_MIMO_API_KEY=your-key cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=xiaomi_mimo -e XIAOMI_MIMO_API_KEY=your-key -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy
LiteLLM YAML Config
model_list:
- model_name: mimo-7b
litellm_params:
model: xiaomi_mimo/MiMo-7B-RL
api_key: "env:XIAOMI_MIMO_API_KEY"
Usage Examples
Anthropic Messages API
curl http://localhost:3000/v1/messages \
-H "Content-Type: application/json" \
-H "x-api-key: $PROXY_API_KEYS" \
-d '{"model": "MiMo-7B-RL", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'
OpenAI Chat Completions API
curl http://localhost:3000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $PROXY_API_KEYS" \
-d '{"model": "MiMo-7B-RL", "messages": [{"role": "user", "content": "Hello"}]}'
Capabilities
| Feature | Supported |
|---|---|
| Chat Completions | ✓ |
| Streaming | ✓ |
| Tool Use | ✓ |
| Embeddings | — |
| Vision | — |
| Batch | — |
Notable Models
| Model ID | Notes |
|---|---|
MiMo-7B-RL |
7B reasoning model trained with reinforcement learning |
Notes
MiMo-7B-RL is a reasoning-specialized model from Xiaomi, trained with reinforcement learning for improved multi-step reasoning. Tool use is supported.