Verified project record

cheaper-inference/OmniRoute

OmniRoute is a locally run OpenAI-compatible gateway that routes requests across 375 AI providers, including 150+ with free tiers, and automatically moves to the next eligible healthy model when quota, failures, or cost spikes occur. It targets developers who juggle multiple provider accounts across coding tools and want one endpoint plus automatic token savings via stacked RTK and Caveman compression.

Project overview

It consolidates 375 providers behind one local OpenAI-compatible endpoint and automatically falls back to the next eligible healthy model, reducing dead-key and rate-limit interruptions for coding agents.

Project type: MCP · Model Runtime
Use cases: Coding & Development
Deployment: Refer to project documentation
License: MIT

Best for

Developers and AI engineers who juggle multiple third-party AI provider accounts and want a single local OpenAI-compatible endpoint for their coding tools, provided they can supply their own provider accounts or API keys.
Users who want automatic fallback when quota runs out, a provider fails, or costs spike, and automatic token savings via stacked RTK and Caveman compression.

Key capabilities

80+ CLI commands plus MCP and A2A agent protocols so an AI agent can drive the gateway on its own. Management is also available through a web GUI and an API.
Routes requests across a chain of models automatically, moving to the next eligible healthy model when quota runs out, a provider fails, or costs spike.

Limitations and risks

Routing requires third-party AI provider accounts and API keys supplied by the user; local running of the gateway does not provide local inference or a local-only data boundary.
GPU requirements, minimum hardware, OS support, coding requirements, model requirements, and telemetry behavior are not documented.
Paid services are optional; some providers in the routing pool may incur cost depending on the accounts the user connects.

Getting started

Install globally with npm install -g omniroute, run omniroute, open the dashboard at http://localhost:20128, connect an eligible provider with your own account under Providers, then point your coding tool at http://localhost:20128/v1 using the OmniRoute key. Setup difficulty is rated easy.

Alternatives and comparisons

A universal local proxy that translates the Responses API to route traffic to any LLM provider, enabling Claude Code and Codex CLI, App, and SDK to use any model—useful when the goal is provider choice for these specific tools rather than multi-provider fallback across 375 providers.
Local LLM inference on Apple Silicon with continuous batching and tiered KV caching, for users who want models running on their own machine instead of routing to external providers.
A single local server process on Apple Silicon serving OpenAI and Anthropic compatible APIs with continuous batching and paged KV cache, an alternative for local serving rather than external provider routing.

Project comparisons

Evidence and sources

GitHub project description: Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cli…
README: npm install -g omniroute omniroute
README: stop juggling 10 dashboards, dead API keys and surprise bills
README: Default stacked combo runs `RTK → Caveman`. When both act on the same tool/context payload, savings compound:
README: curl http://localhost:20128/v1/chat/completions

Source updated at: 2026-10-21T18:07:07Z

Open original GitHub project