# cheaper-inference/omniroute

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85,439 stars · 12,914 forks · TypeScript · MIT

## Links

- GitHub: https://github.com/cheaper-inference/OmniRoute
- Homepage: https://omniroute.online
- awesome-repositories: https://awesome-repositories.com/repository/cheaper-inference-omniroute.md

## Topics

`a2a` `ai-agents` `ai-gateway` `anthropic` `claude` `claude-code` `cline` `codex` `copilot` `cursor` `deepseek` `free-ai` `gemini` `kimi` `llm-gateway` `mcp` `openai` `openai-proxy` `qwen` `token-saver`

## Description

OmniRoute is a self-hosted AI gateway that puts one OpenAI-compatible endpoint and key in front of many chat, media, search, and local-model providers. It translates each request into the chosen provider's native format and maps the reply back. It is built to serve coding assistants and command-line agents, and it can configure them to send their model traffic through the gateway. It also catalogs free and keyless model tiers and uses them before falling back to paid capacity.

Routing and failover are central. Models can be chained into ordered combos with strategies such as priority, round-robin, cost-optimized, or quota-weighted. Combos can also fan a request out to several models with a judge merging the answers, or pass output from one step into the next. Automatic routing scores candidate models and shifts traffic away from degraded targets. Circuit breakers, cooldowns, and backoff bypass failing providers, and quota-aware scheduling spreads requests across accounts. A built-in prompt compression pipeline stacks engines that shrink prompts and tool output while preserving code, URLs, and JSON. The gateway also exposes its routing, provider, caching, and memory controls to outside agents through Model Context Protocol tools and agent-to-agent JSON-RPC endpoints.

Around that core are cost and quota tracking with per-key spend limits, a pricing catalog, and free-tier aggregation. Optional proxy-level conversation memory is off by default. Security features include scoped tokens, key-to-model restrictions, and masking of personal data and secrets. Observability covers live quota telemetry, routing flow graphs, traffic inspection, and webhook notifications. A large command-line interface handles setup, diagnostics, interactive chat, and control of a remote gateway, and an editor extension surfaces gateway models in the chat model picker.

OmniRoute installs globally from a package manager, serving a web dashboard and the API on one port. It also runs under Docker, Podman, systemd, Fly.io, Android Termux, a desktop app, or an installable web app, and can run headless as proxy-only. If no prebuilt native database binary matches, it falls back to a pure-JavaScript engine, so installation does not require build tools.

## Tags

### Artificial Intelligence & ML

- [OpenAI-Compatible APIs](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/model-integration-interfaces/ai-integration-apis/openai-compatible-apis.md) — Offers one OpenAI-compatible endpoint and key that translates requests into each provider's native format across many chat, media, search, and local providers.
- [OpenAI-Compatible Endpoints](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/model-integration-interfaces/ai-integration-apis/openai-compatible-apis/anthropic-compatible-endpoints/openai-compatible-endpoints.md) — Routes chat, media, search, and local-model requests through one OpenAI-compatible endpoint and key, converting to each provider's native format. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Free AI Tier Aggregators](https://awesome-repositories.com/f/artificial-intelligence-ml/free-ai-tier-aggregators.md) — Uses free and keyless model quotas first, falls back to paid providers, and compresses prompts and tracks spend to cut costs.
- [Free Tier Aggregators](https://awesome-repositories.com/f/artificial-intelligence-ml/free-tier-aggregators.md) — Surfaces free-forever and keyless providers and tracks free budgets per model so requests are served at no cost before paid quota. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Provider Failover](https://awesome-repositories.com/f/artificial-intelligence-ml/model-provider-configurations/runtime-provider-switching/provider-failover.md) — Shifts requests to a healthy provider automatically when a provider errors, rate-limits, or runs out of quota.
- [Model Routing Combos](https://awesome-repositories.com/f/artificial-intelligence-ml/model-routing-combos.md) — Chains models into ordered combos whose targets are picked by strategies such as priority, round-robin, cost-optimized, or quota-weighted.
- [Quota Failover Routing](https://awesome-repositories.com/f/artificial-intelligence-ml/quota-failover-routing.md) — Chains models into combos with priority, round-robin, and cost-optimized strategies and shifts traffic to healthy providers when quota runs out or errors occur.
- [Request-Response Translation Layers](https://awesome-repositories.com/f/artificial-intelligence-ml/request-response-translation-layers.md) — Translates each OpenAI-style request into the provider's native format and maps replies back so one endpoint fronts many providers.
- [Agent Gateways](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-gateways.md) — Configures coding assistants and command-line agents to send model traffic through one gateway endpoint, with setup helpers and an editor model picker.
- [Coding Tool Profiles](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/integration-deployment/agent-configuration-tools/coding-tool-profiles.md) — Picks a provider and model interactively, previews settings with a dry run, then writes each coding tool's own configuration file to use the gateway. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Model Quota Aware Switching](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-model-adapters/dynamic-model-switching/model-quota-aware-switching.md) — Monitors remaining provider quotas and live telemetry to spread requests across accounts, using free allowances before paid capacity.
- [Compression Pipeline Hooks](https://awesome-repositories.com/f/artificial-intelligence-ml/compression-pipeline-hooks.md) — Runs prompts through an ordered stack of independently tunable compression engines that shrink tokens while protecting code, URLs, and JSON.
- [Goal-Based Model Selection](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-evaluation-and-validation/model-capability-assessment/model-capability-queries/capability-based-routing/cost-quality-model-routing/goal-based-model-selection.md) — Selects a healthy model from one model name using live scoring, with variants tuned for coding quality, speed, cost, or quota headroom. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [MCP Tool Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/mcp-tool-servers.md) — Serves a large set of gateway tools to editors and coding agents over MCP using stdio, HTTP, or server-sent events with scoped authentication. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Auto-Scoring Self-Healing Routes](https://awesome-repositories.com/f/artificial-intelligence-ml/model-routing-combos/auto-scoring-self-healing-routes.md) — Scores candidate models on many weighted factors and automatically shifts traffic away from degraded targets using selectable mode packs. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Distribution Strategies](https://awesome-repositories.com/f/artificial-intelligence-ml/model-routing-combos/distribution-strategies.md) — Offers selectable strategies for spreading requests across targets, including priority, round-robin, weighted, cost, quota headroom, latency, and context-aware ranking. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Provider Account Onboarding](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-account-llm-management/provider-account-onboarding.md) — Links personal provider accounts and credentials from a dashboard so chat, media, and search providers are reachable through one endpoint and key. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Multi-Stage Compression Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/on-demand-context-retrieval/layered-context-retrievers/prompt-optimized-context-retrieval/multi-stage-compression-pipelines.md) — Runs prompts and tool output through an ordered stack of compression engines such as filler removal, JSON filtering, and cross-turn deduplication without client changes. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Prompt Compression Methods](https://awesome-repositories.com/f/artificial-intelligence-ml/token-reduction-pipelines/prompt-compression-methods.md) — Stacks composable engines that shrink prompts and tool output while preserving code, URLs, and JSON, escalating only to fit the context window.

### Part of an Awesome List

- [Coding Agents and Assistants](https://awesome-repositories.com/f/awesome-lists/ai/coding-agents-and-assistants.md) — Points coding assistants and command-line agents at one local endpoint, with setup helpers and MCP and A2A support for managing the gateway.

### Development Tools & Productivity

- [Agentic Coding Assistants](https://awesome-repositories.com/f/development-tools-productivity/agentic-coding-assistants.md) — Points coding assistants and command-line agents such as Claude Code, Codex, Cursor, and Cline at a local or remote gateway, detecting installed agents. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Coding Assistant Model Routing](https://awesome-repositories.com/f/development-tools-productivity/coding-assistant-model-routing.md) — Lets any OpenAI-compatible coding client use one base URL, key, and model name, routing across providers with automatic fallback or to a chosen model. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [A2A Protocol Servers](https://awesome-repositories.com/f/development-tools-productivity/agent-communication-protocol-servers/a2a-protocol-servers.md) — Runs an agent-to-agent JSON-RPC server with a published agent card, task tracking, and streamed results so other agents can delegate work. ([source](https://github.com/cheaper-inference/omniroute#readme))

### Software Engineering & Architecture

- [AI Provider Gateways](https://awesome-repositories.com/f/software-engineering-architecture/api-gateways/ai-provider-gateways.md) — Routes chat, media, search, and local model requests through one OpenAI-compatible endpoint and key to many providers.
- [Quota-Aware Account Scheduling](https://awesome-repositories.com/f/software-engineering-architecture/service-request-routing/model-aware-request-routings/quota-aware-account-scheduling.md) — Spreads requests across provider accounts according to remaining quota so free allowances are consumed fairly before any paid capacity. ([source](https://github.com/cheaper-inference/omniroute#readme))
- [Provider Circuit Breakers](https://awesome-repositories.com/f/software-engineering-architecture/state-machine-logic/circuit-breaking-states/provider-circuit-breakers.md) — Tracks provider health with circuit breakers, cooldowns, and exponential backoff so failing providers are bypassed and traffic shifts to healthy ones.

### DevOps & Infrastructure

- [LLM Token Cost Tracking](https://awesome-repositories.com/f/devops-infrastructure/compute-cost-tracking/llm-token-cost-tracking.md) — Returns per-request cost and usage headers, reports cache-hit savings, and enforces per-key spend quotas across AI model usage. ([source](https://github.com/cheaper-inference/omniroute#readme))