Files
anyllm-proxy/docs/providers/infinity.md
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

1.7 KiB

Infinity

Self-hosted embedding server with OpenAI-compatible API, supporting a wide range of sentence-transformer models.

LiteLLM prefix: infinity/
Status: Stub — routes through OpenAI-compatible client
Docs: https://michaelfeil.eu/infinity/latest/

Authentication

Variable Required Description
(none) No authentication required

Quick Start

Single-Backend (env vars)

BACKEND=infinity PROXY_OPEN_RELAY=true cargo run -p anyllm_proxy
# Docker:
docker run -e BACKEND=infinity -e PROXY_OPEN_RELAY=true -p 3000:3000 followthewhit3rabbit/anyllm-proxy

Override the default endpoint with OPENAI_BASE_URL if Infinity is not on localhost.

LiteLLM YAML Config

model_list:
  - model_name: bge-small-en
    litellm_params:
      model: infinity/BAAI/bge-small-en-v1.5
      api_base: "http://localhost:7997"

Usage Examples

Embeddings (POST /v1/embeddings)

curl http://localhost:3000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PROXY_API_KEYS" \
  -d '{"model": "BAAI/bge-small-en-v1.5", "input": ["Hello world"]}'

Capabilities

Feature Supported
Chat Completions
Streaming
Tool Use
Embeddings
Vision
Batch

Notes

Infinity is an embeddings-only server. Start it before running the proxy:

pip install infinity-emb[all]
infinity_emb v2 --model-id BAAI/bge-small-en-v1.5

The server listens on port 7997 by default. Pass any Hugging Face model ID compatible with sentence-transformers. Multiple models can be loaded simultaneously; pass --model-id multiple times.