FastRouter.ai - Route requests to the right LLM for cost, latency & quality
by•
FastRouter is a unified AI gateway and control plane for developers and enterprise teams building with LLMs. It routes every request to the right model across 200+ LLMs through one OpenAI-compatible API, optimizing for cost, latency, quality, and reliability. With intelligent routing, failover, observability, and governance, teams can scale AI apps without vendor lock-in or code changes.
Replies
The first users usually seem to come from places where the problem is already being discusses. Curious if anyone has had better results from communities than from posting on their own profiles.
How quickly does it react when a model suddenly gets slower or starts giving weaker results?
Congrats @ritprasad & team!
Thanks for hunting another cool product @rohanrecommends :)
@rohanrecommends @hamza_afzal_butt
Every request is measured for latency and response time including all the intermediate attempts if any provider is down for example. This way, you are not measuring the wrong thing i.e. an individual attempt at a single provider rather than the overall time it took at the request level as that is what your end user is waiting. Moreover, FastRouter helps you set up custom alerts in real time that can get delivered on Slack, PagerDuty or your webhook so you can react immediately.
For quality, AI Evals or Insights continuously evaluates a sample of your production traffic by replaying requests against other capable models. It proactively delivers insights and recommendations when it identifies models that better fit your use case.
Curious. Which is harder for your team to catch today: latency spikes or spend spikes or drops in response quality?
Finally someone solved the headache of writing manual fallback code every time OpenAI drops.
@ashir_murtaza1 Thanks Ashir! That was one of the main pain points. Nobody should have to rewrite retry-and-switch logic - and waste time integrating new provider SDKs. We have moved a long way since then and added a lot more value added features around insights and optimizations. Thanks for checking us out!
This solves a massive headache for us. we were literally spending hours last week figuring out how to balance claude and gpt costs.
@sansa_grey Yup, figuring out when to use Claude vs. OpenAI or even other models, tracking spend, and checking quality can quickly become a job of its own. That’s exactly why we built an easy to use AI evals product; as well as proactive cost recommendations with Insights -- to help you identify when to leverage different models. Thanks for checking us out!
love the idea of a single endpoint for all 200+ models. makes testing new releases so much cleaner.
@charles_eric3 Thanks, Charles! Exactly. Trying a new model shouldn’t mean integrating another SDK. A single API makes it much easier to compare models and find the right fit for your app :)
am sending this straight to our engineering lead we desperately need something like this right now.
@irsa_doham Thanks for passing it along, Irsa! 🙌 Would love to hear what your team is working on. Happy to answer any questions your engineering lead has or help them get started! Do send us a note on support@fastrouter.ai.