Validation sidecar for LLM responses

A lightweight validation layer to catch bad and slow LLM responses

Problem

Developers calling LLMs at critical product steps often get wrong content, malformed output, timeouts or errors, and writing validation logic themselves is time-consuming and incomplete. One developer got stuck for days on OpenRouter issues, unsure whether to retry, switch models or add a fallback.

Solution

A small SDK/proxy gateway that sits between the app and the LLM and applies configurable validation rules: JSON Schema checks, keyword/regex checks, timeout thresholds and automatic retries; on failure it falls back to an alternate model or a default response, and logs failure samples for later analysis.

Users

Small teams and indie developers integrating LLMs into products, especially SaaS and tools needing stable output.

MVP

Configurable validation rules (schema, regex, timeout); automatic retry and fallback model switching; failure log with sample replay; one-line SDK integration

Revenue

Usage-based API gateway pricing; free SDK with paid hosted validation gateway subscription

Why now

LLM calls are now standard in products but reliability is still hand-rolled; a validation layer is model-agnostic, demand is steady and the barrier is moderate.