diegosouzapw/omniroute

★ 4,497TypeScriptAudience · developerComplexity · 3/5Setup · easy

Mindmap

mindmap
  root((omniroute))
    What It Does
      Single API endpoint
      160 plus providers
      Auto fallback
    Features
      Prompt compression
      13 routing strategies
      MCP server tools
    Request Types
      Text chat
      Image generation
      Audio and video
    Deployment
      npm install
      Docker
      Electron desktop
    Audience
      AI app builders
      Cost optimizers

mindmap root((omniroute)) What It Does Single API endpoint 160 plus providers Auto fallback Features Prompt compression 13 routing strategies MCP server tools Request Types Text chat Image generation Audio and video Deployment npm install Docker Electron desktop Audience AI app builders Cost optimizers

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Things people build with this

USE CASE 1

Send all AI requests through one endpoint so switching providers requires no code changes

USE CASE 2

Automatically fall back to a backup AI provider when the primary one is unavailable or too expensive

USE CASE 3

Compress long prompts before sending to reduce token costs by up to 95 percent

USE CASE 4

Use a single gateway for text chat, image generation, and audio transcription across different providers

Tech stack

TypeScriptNode.jsDockerElectron

Getting it running

Difficulty · easy Time to first run · 30min

In plain English

OmniRoute is a self-hosted gateway that lets you send AI requests to more than 160 different AI providers through a single consistent API endpoint. Instead of writing separate code to talk to OpenAI, Anthropic, Gemini, DeepSeek, or any other provider, you point your application at OmniRoute, and it handles the routing and translation behind the scenes. If one provider is unavailable or too expensive for a given request, OmniRoute can fall back to another automatically. The project includes a prompt compression feature it calls RTK+Caveman, which attempts to reduce the number of tokens sent to the AI model on each request. The README claims reductions of 15 to 95 percent on eligible content, though results will vary by use case. Fewer tokens sent means lower costs when using paid providers. It supports 13 different routing strategies for deciding which provider handles each request. Beyond text chat, the gateway handles several other types of AI requests: embeddings, image generation, video, music generation, audio speech and transcription, web search, and content moderation. It also includes an MCP server with 37 tools and supports the A2A agent-to-agent communication protocol, making it usable as infrastructure for AI agent systems. OmniRoute can be run as a web app, as a desktop application built with Electron, or as a mobile progressive web app, including on Android via Termux. The README and documentation are available in over 40 languages. The project is written entirely in TypeScript and has over 4,600 automated tests. Installation is available via npm, Docker, or by downloading an Electron release. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1

Set up OmniRoute to send requests to OpenAI by default but fall back to Anthropic if OpenAI is unavailable, using a single API endpoint in my app

Prompt 2

How do I configure OmniRoute's RTK+Caveman prompt compression to reduce costs on long context requests?

Prompt 3

Using OmniRoute, write a routing strategy that sends short requests to a cheap small model and complex ones to Claude

Prompt 4

How do I run OmniRoute as a Docker container and point my existing OpenAI SDK calls at it with minimal code changes?

Prompt 5

How do I use OmniRoute as infrastructure for an AI agent system that needs agent-to-agent communication?

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