Summary
Respan launched or relaunched its AI Gateway with a pitch that combines access to 1,000+ models, routing, observability, evals, prompt management, fallbacks, retries, caching, spend limits, alerts, and traces. Product Hunt traction and YC positioning frame it as part of the shift from model APIs to production control planes for AI agents and LLM apps.
What changed
Respan Gateway surfaced as a high-vote Product Hunt AI infrastructure launch, positioning one endpoint plus observability, evals, prompt optimization, traces, cost controls, retries, and fallback behavior for production AI systems.
Why it matters
Teams building AI agents increasingly need to debug behavior, compare model quality, control spend, and route across providers from the same operational surface. Respan’s launch reinforces that AI gateway products are becoming observability and evaluation platforms, not just proxy endpoints.
Evidence excerpt
Product Hunt says Respan AI Gateway connects apps to 1,000+ AI models through one endpoint and includes fallbacks, retries, caching, spend limits, alerts, traces, observability, evals, prompt management, monitors, and cost controls.