Launching today
FastRouter.ai
Route requests to the right LLM for cost, latency & quality
412 followers
Route requests to the right LLM for cost, latency & quality
412 followers
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.
Routing across 200 plus models through one OpenAI compatible endpoint is the kind of thing teams only appreciate once they have written the same retry and fallback logic by hand. Optimizing for cost, latency and quality together is the interesting part, since those usually pull against each other. How transparent is the routing decision when you want to debug why a request went a certain way?
@karimbenkeroum Thank you for a great question. The short answer is that it depends on the routing mode.
1. Explicit policies via Virtual Model Aliases are fully transparent. The Activity Log shows the alias, strategy, every attempt including failovers, final model, and per-attempt cost/latency.
2. Auto-Router is partially transparent today: you see the task category the request was classified into, the model chosen, and the metrics, but not the score breakdown behind the pick.
3. AI Insights / Custom AI Evals is fully open: scores, LLM-judge reasoning per request, and side-by-side responses behind every recommendation.
Happy to clarify any of these or do a detailed demo to explain all of them.
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!
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.