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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>
2.3 KiB
2.3 KiB
Together AI
Large open-source model catalog with serverless and dedicated endpoints.
LiteLLM prefix: together_ai/
Status: Stub — routes through OpenAI-compatible client
Docs: https://docs.together.ai/docs/openai-api-compatibility
Authentication
| Variable | Required | Description |
|---|---|---|
TOGETHER_API_KEY |
Yes | API key from api.together.xyz (also accepted as TOGETHERAI_API_KEY) |
TOGETHERAI_API_KEY |
Yes | Alias for TOGETHER_API_KEY |
Quick Start
Single-Backend (env vars)
BACKEND=together_ai TOGETHER_API_KEY=your-key cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=together_ai -e TOGETHER_API_KEY=your-key -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy
LiteLLM YAML Config
model_list:
- model_name: llama-3.2-90b-vision
litellm_params:
model: together_ai/meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
api_key: "env:TOGETHER_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": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo", "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": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo", "messages": [{"role": "user", "content": "Hello"}]}'
Capabilities
| Feature | Supported |
|---|---|
| Chat Completions | ✓ |
| Streaming | ✓ |
| Tool Use | ✓ |
| Embeddings | ✓ |
| Vision | ✓ |
| Batch | — |
Notable Models
| Model ID | Context | Notes |
|---|---|---|
meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo |
131k | Vision-capable Llama 3.2 |
mistralai/Mixtral-8x7B-Instruct-v0.1 |
32k | Mixtral MoE |
Qwen/Qwen2.5-72B-Instruct-Turbo |
128k | Qwen 2.5 72B |
Notes
Together AI offers both serverless pay-per-token endpoints and dedicated GPU deployments. Model IDs follow the org/model-name pattern. The full catalog is available at https://api.together.xyz/models. Embedding models are served at the same base URL using the standard /v1/embeddings endpoint.