mirror of https://github.com/whit3rabbit/anyllm-proxy.git synced 2026-09-23 08:00:52 +00:00

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T

whit3rabbitandClaude Sonnet 4.6 545bdbbbd3 feat: add bedrock native passthrough, generic passthrough, provider docs, and managed backend fixes

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>

2026-04-08 16:36:16 -05:00

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Baseten

ML model deployment platform where each deployed model has a unique endpoint URL.

LiteLLM prefix: baseten/
Status: Stub — routes through OpenAI-compatible client
Docs: https://docs.baseten.co

Authentication

Variable	Required	Description
`BASETEN_API_KEY`	Yes	API key from app.baseten.co/settings/account/api-keys

Quick Start

Single-Backend (env vars)

Baseten exposes a per-model URL for each deployment. Set OPENAI_BASE_URL to your model's endpoint.

BACKEND=baseten \
  BASETEN_API_KEY=your-key \
  OPENAI_BASE_URL=https://model-<id>.api.baseten.co/environments/production/sync/v1 \
  cargo run -p anyllm_proxy
# Docker:
docker run \
  -e BACKEND=baseten \
  -e BASETEN_API_KEY=your-key \
  -e OPENAI_BASE_URL=https://model-<id>.api.baseten.co/environments/production/sync/v1 \
  -e PROXY_OPEN_RELAY=true \
  -p 3000:3000 followthewhit3rabbit/anyllm-proxy

LiteLLM YAML Config

model_list:
  - model_name: my-deployed-model
    litellm_params:
      model: baseten/my-deployed-model
      api_key: "env:BASETEN_API_KEY"
      api_base: "https://model-<id>.api.baseten.co/environments/production/sync/v1"

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": "my-deployed-model", "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": "my-deployed-model", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

Feature	Supported
Chat Completions	✓
Streaming	✓
Tool Use	—
Embeddings	—
Vision	—
Batch	—

Notable Models

Model ID	Context	Notes

Notes

Baseten has no shared model catalog — you deploy your own models and each gets a unique URL. Find your endpoint URL in the Baseten dashboard under the deployment's API tab. Set OPENAI_BASE_URL (single-backend) or api_base per YAML entry to point at the correct deployment. The model name passed in requests is not validated against Baseten; it is forwarded as-is. Tool use is not supported via the OpenAI-compatible layer.

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