OmniRoute
OmniRoute is a free, MIT-licensed AI gateway unifying 290+ providers and 500+ models behind an OpenAI-compatible endpoint. It auto-routes with quota-aware fallback, cuts tokens 15–95% via a pluggable compression stack, and surfaces transparent cost and routing telemetry.
Overview
Point your IDE, agent, or CLI at OmniRoute’s OpenAI-compatible endpoint, choose auto or a preferred model, and start working. The router scores connections live, honors budgets, and silently fails over when providers throttle or degrade, while compression trims tokens to keep sessions fast and affordable.
Capabilities and Architecture
OmniRoute fits developers, AI platform teams, and research groups standardizing on one gateway while mixing free tiers and paid credits. It suits coding agents, IDE integrations, CI pipelines, and data teams needing predictable costs, resilient fallbacks, and detailed telemetry. Operators benefit from budget limits, shared-key fairness, and observability that simplify multi-tenant deployments without hand-maintaining dozens of SDKs or rate limits.
- OpenAI-compatible API routes requests across 290+ providers with live scoring.
- Quota-aware auto-fallback shifts traffic instantly when failures or limits occur.
- Compression stack saves 15–95% tokens using RTK, Caveman, and presets.
- Transparent headers expose cost, latency, and routing decisions per response.
- Works with IDE agents and CLIs including Cursor, Claude Code, and Copilot.
Why OmniRoute
Who It’s For
Install with npm or run the Docker image; both start the gateway and dashboard locally. Fresh installs work immediately using the auto channel and cataloged free pools, so you can test without credentials. Next, connect preferred providers in the dashboard, set budgets and quotas, and choose routing strategies per combo. Point your tools at the OpenAI-compatible base, copy the gateway key, and select a model or auto/coding for quality-first code generation. Remote mode lets you operate a server instance from your laptop using scoped tokens, while MCP and A2A expose APIs for agents to manage routing, cache, compression, and memory programmatically.
Resilience is not an add-on; it’s the default path your requests take.
Getting Started
OmniRoute centralizes provider sprawl into a resilient, observable control plane that saves tokens and downtimes without sacrificing capability. Live-scored routing, a deep compression stack, and transparent telemetry distinguish it from basic proxies. It’s local-first, standards-friendly, and production-focused—ideal for teams who need reliability, cost control, and one endpoint that simply works.
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OmniRoute
OmniRoute is maintained by Diego Souza and an active community of 500+ contributors. The project emphasizes pragmatic reliability, open interfaces (OpenAI, MCP, A2A), and cost transparency. Contributions expand providers, compression engines, guardrails, and integrations so teams can route intelligently without vendor lock‑in.
OmniRoute is a production-grade, open-source AI gateway that consolidates hundreds of models from 290+ providers into one OpenAI-compatible endpoint. Its Auto-Combo engine scores live connections on health, quota, cost, latency, and success rate, then routes each request accordingly—failing over automatically when limits or outages occur. A 12-engine compression stack (RTK, Caveman, ML pruning, and presets) safely shrinks prompts and tool output, often saving 15–95% tokens while preserving code and JSON fidelity. Users get transparent decision headers, budget controls, and per-key spend limits. Beyond the REST surface, OmniRoute exposes MCP and A2A interfaces so agents can orchestrate routing, caching, memory, and compression directly. It runs locally via npm, Docker, or desktop, supports remote control with scoped tokens, and includes guardrails for prompt injection and secret leakage. The result: one resilient gateway for coding, reasoning, and media tasks that minimizes cost without sacrificing reliability.
github.com/diegosouzapw/OmniRoute
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