JSON Repair Middleware for LLM Streams

LLM API streams often return truncated or malformed JSON, breaking integrations. A lightweight reverse proxy automatically detects and repairs broken JSON in real-time before it reaches your application. Target: AI engineers and LLM API integrators.

LLM output reliability is a live pain point right now — as more teams move from demo to production with GPT-4, Claude, and open-source models, malformed JSON in streamed responses is one of the first real infrastructure headaches they hit, and the problem compounds with function calling and structured output features that every major provider is pushing hard. The closest substitutes are libraries like `jsonrepair` (npm) or inline retry logic teams write themselves, but neither operates at the proxy layer, meaning every app reimplements the same fragile fix. The $1k–5k/mo revenue band is realistic but tight — this is a per-seat or usage-based tool with a natural ceiling because the audience is technical enough to roll their own once they understand the pattern, which is also the biggest risk: the problem is just scoped narrowly enough that a well-written open-source library (or a native "strict JSON mode" shipped by OpenAI or Anthropic) makes the paid middleware layer obsolete overnight.