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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>
1.9 KiB
1.9 KiB
Docker Model Runner
Docker Desktop's built-in local model inference engine, powered by llama.cpp.
LiteLLM prefix: docker_model_runner/
Status: Stub — routes through OpenAI-compatible client
Docs: https://docs.docker.com/desktop/features/model-runner/
Authentication
| Variable | Required | Description |
|---|---|---|
| (none) | — | No authentication required |
Quick Start
Single-Backend (env vars)
BACKEND=docker_model_runner PROXY_OPEN_RELAY=true cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=docker_model_runner -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy
Override the default endpoint with OPENAI_BASE_URL if needed.
LiteLLM YAML Config
model_list:
- model_name: smollm2
litellm_params:
model: docker_model_runner/ai/smollm2
api_base: "http://localhost:12434/engines/llama.cpp/v1"
Usage Examples
Anthropic Messages API
curl http://localhost:3000/v1/messages \
-H "x-api-key: $PROXY_API_KEYS" \
-H "Content-Type: application/json" \
-d '{"model": "ai/smollm2", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'
OpenAI Chat Completions API
curl http://localhost:3000/v1/chat/completions \
-H "Authorization: Bearer $PROXY_API_KEYS" \
-H "Content-Type: application/json" \
-d '{"model": "ai/smollm2", "messages": [{"role": "user", "content": "Hello"}]}'
Capabilities
| Feature | Supported |
|---|---|
| Chat Completions | ✓ |
| Streaming | ✓ |
| Tool Use | — |
| Embeddings | — |
| Vision | — |
| Batch | — |
Notes
Docker Model Runner is available in Docker Desktop 4.40 and later. Pull models before use:
docker model pull ai/smollm2
docker model pull ai/llama3.2
List available models with docker model ls. The inference endpoint is at http://localhost:12434/engines/llama.cpp/v1. Tool use and embeddings are not supported.