What problem it solves

Using several AI providers can mean managing different SDKs, rate limits, quotas, and free-tier eligibility. The gateway consolidates provider connections behind one endpoint and continues routing when another eligible target is available.

Key features

• One endpoint for multiple providers — Compatible coding tools and AI clients can use a shared endpoint rather than configuring each provider separately.

  Source: README

• Automatic provider fallback — The router can move requests to another eligible provider tier when the current target is unavailable or constrained.

  Source: README

• Token-saving compression — RTK and Caveman compression can compress tool outputs to reduce token consumption during routed requests.

  Source: README

Quick start

Copied verbatim from the project's README.

# After connecting a provider, copy your OmniRoute key from Dashboard → Endpoints:
curl http://localhost:20128/v1/chat/completions \
  -H "Authorization: Bearer YOUR_OMNIROUTE_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"auto","messages":[{"role":"user","content":"Hello!"}]}'

Who it may suit

Inference: This may suit developers and teams using multiple AI providers or coding assistants who want centralized routing, quota visibility, and automatic fallback from one local endpoint.

Topics to discuss

• Which provider or subscription tier should be preferred first in automatic routing?

• Which tools need additional compatibility or setup guidance?

• Which routing and quota behaviors should be documented with more examples?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/cheaper-inference/OmniRoute#readme

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