Optimizing LLM Stream Ingestion: Reconstructing Truncated JSON Payloads in 0.0122ms

Kylik Daniels Labs has released a Python middleware that intercepts malformed LLM stream output and repairs truncated JSON.

The tool is designed to reconstruct incomplete payloads and prevent downstream JSON parsing failures.

The team says it achieved 100% recovery across 10,000 simulated anomalies with an average latency of 0.0122 ms.

Code and logs were shared on GitHub, with potential use in FastAPI and RAG pipelines to improve reliability locally.