FastRouter is a unified AI gateway that routes each request to a suitable model through one OpenAI-compatible endpoint, with failover and governance.
Overview #
FastRouter #
FastRouter is an AI gateway and control plane for teams building on more than one model. FastRouter exposes a single OpenAI-compatible endpoint, routes each request to a model chosen for cost, latency or quality, and adds the operational layer around it: failover when a provider degrades, observability over what was sent where, and governance controls for teams. It documents integrations with the agent frameworks people actually use, including LangGraph, CrewAI, AutoGen, Agno, Pydantic AI and the OpenAI Agents SDK.
Production credibility: FastRouter publishes developer documentation at docs.fastrouter.ai and maintains a GitHub organisation, and its listing describes coverage across providers including OpenAI, Anthropic, Google, Meta, xAI and Cohere. It is an early product and its own surfaces disagree on scale — the Product Hunt listing says 200-plus models, the documentation says 160-plus across 20-plus providers, and the GitHub page says 100-plus — so treat any single figure as approximate and check the current site before relying on it.
Key Features
- One OpenAI-compatible endpoint across many providers
- Routing by cost, latency or quality rather than a fixed model
- Failover when a provider degrades or errors
- Observability over requests, spend and model selection
- Governance controls for team and enterprise use
- Documented integrations with LangGraph, CrewAI, AutoGen and the OpenAI Agents SDK
Ideal Use Case
Teams whose costs are dominated by inference and who would rather not rewrite integrations each time a cheaper or better model appears. The agent-framework integrations make it a practical drop-in for an existing agent stack, and the failover matters most for production traffic that cannot wait out a provider incident.
How FastRouter differentiates
OpenRouter is the incumbent aggregator and Portkey the enterprise-flavoured gateway; Not Diamond focuses on picking the right model per prompt. FastRouter combines routing with the control-plane features, which is the same ground Portkey occupies — so the comparison comes down to maturity and price rather than concept. It is the newest option here, and the inconsistent model counts across its own channels are a fair signal of its stage.
FAQ
Q: What is FastRouter? A: FastRouter is a unified AI gateway. It routes requests across many large language models through one OpenAI-compatible endpoint, with failover, observability and governance.
Q: How many models does FastRouter support? A: Its own surfaces give different figures — 100-plus, 160-plus and 200-plus across 20-plus providers — so check the current site. Coverage includes OpenAI, Anthropic, Google, Meta, xAI and Cohere.
Q: Does FastRouter work with agent frameworks? A: Yes. Its documentation lists LangGraph, CrewAI, AutoGen, Agno, Pydantic AI and the OpenAI Agents SDK among supported frameworks.
Q: How is FastRouter priced? A: Usage-based on the tokens routed through the gateway, with the underlying model costs passed through.
Q: How does FastRouter compare to OpenRouter? A: Both aggregate many models behind one endpoint. FastRouter emphasises the control plane around routing — failover, observability and governance — and is a considerably newer product.
tl;dr
FastRouter is an AI gateway routing requests across many models through one OpenAI-compatible endpoint, with failover, observability and governance, plus documented agent-framework integrations. Early-stage: its own channels quote different model counts.