
One AI gateway with built-in observability and evals
Respan AI Gateway connects your app to 1,000+ AI models through one endpoint. But routing is the easy part. Respan keeps production AI reliable and under control with fallbacks, retries, caching, spend limits, alerts, and full traces for every call. Gateway, observability, evals, prompt management, monitors, and cost controls all run on one platform, so you do not need to stitch together five tools to debug production.
Respawn Gateway is an AI integration platform that connects applications to over 1,000 AI models via a single endpoint. It offers built-in observability, evaluation tools, and various controls to ensure reliable AI performance in production environments.
Overall, commenters express enthusiasm for the product's potential while raising important questions about its practical implementation.
<p>Hi Product Hunt,</p><p></p><p>We built Respan AI Gateway because routing to more models is only the first step.</p><p></p><p>Once your AI product is in production, the harder questions show up fast:</p><p></p><p>What happens when a provider fails?</p><p>Which customer is driving cost?</p><p>Which model version caused the latency spike?</p><p>Did the fallback work?</p><p>How do we trace, evaluate, and control everything without stitching together five tools?</p><p></p><p>Respan Gateway gives teams one OpenAI- and Anthropic-compatible endpoint for 1,000+ models, with fallbacks, retries, caching, spend limits, alerts, traces, evals, prompt management, and monitors on the same platform.</p><p></p><p>The goal is simple: make production AI easier to ship, debug, and control.</p><p></p><p>Would love your feedback, questions, and support today!</p>
<p>2 lines of code complete DevOps platform. always sounds a bit too good 😄<br>What breaks first when you try to use it on a real production agent with tool calls and long traces?</p>
<p>This is what many dev teams are missing. I’ve seen so many projects stall because they couldn’t effectively trace which model version caused a latency spike. </p><p></p><p>How does Respan handle 'evals' for non-deterministic outputs? Is it easy to set up automated regression tests for prompt changes? </p>
<p><a href="https://www.producthunt.com/@fran3cc" data-node-type="mention" data-mention-type="user" data-mention-id="fran3cc" target="_blank" rel="nofollow noopener noreferrer">@fran3cc</a> Honestly, Al reliability is still a huge challenge. Glad to see tools tackling this problem.</p>