mirror of https://github.com/whit3rabbit/anyllm-proxy.git synced 2026-09-27 08:00:57 +00:00

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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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vLLM (self-hosted)

Production-grade self-hosted inference server with an OpenAI-compatible API.

LiteLLM prefix: hosted_vllm/ Status: Stub — routes through OpenAI-compatible client Docs: https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html

Authentication

Variable	Required	Description
`VLLM_API_KEY`	No	Bearer token, required only if vllm was started with `--api-key`
`OPENAI_BASE_URL`	Yes	URL of the vLLM server (e.g. `http://my-host:8000/v1`)

Quick Start

Single-Backend (env vars)

BACKEND=hosted_vllm OPENAI_BASE_URL=http://my-host:8000/v1 VLLM_API_KEY=secret PROXY_OPEN_RELAY=true cargo run -p anyllm_proxy
# or Docker:
docker run \
  -e BACKEND=hosted_vllm \
  -e OPENAI_BASE_URL=http://my-host:8000/v1 \
  -e VLLM_API_KEY=secret \
  -e PROXY_OPEN_RELAY=true \
  -p 3000:3000 followthewhit3rabbit/anyllm-proxy

LiteLLM YAML Config

model_list:
  - model_name: local-model
    litellm_params:
      model: hosted_vllm/meta-llama/Meta-Llama-3.1-8B-Instruct
      api_base: "http://my-host:8000/v1"
      api_key: "secret"

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": "meta-llama/Meta-Llama-3.1-8B-Instruct", "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": "meta-llama/Meta-Llama-3.1-8B-Instruct", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

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

Notes

vLLM has no fixed default URL; OPENAI_BASE_URL is required. Each deployment has its own host and port.

Authentication is optional. The --api-key flag on vllm serve enables it:

vllm serve meta-llama/Meta-Llama-3.1-8B-Instruct --api-key secret

If authentication is not configured on the vLLM server, omit VLLM_API_KEY.

The model name in requests must match the model name passed to vllm serve.

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