Open-Source Python Middleware Fixes Malformed AI JSON Streams in 0.0122ms

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A developer lab has open-sourced a local Python middleware framework designed to intercept, repair, and stabilize malformed JSON data streams from AI language models. The tool operates entirely in local in-memory arrays, avoiding external dependencies for stream processing. It achieved a runtime latency of just 0.0122 milliseconds under a load of 10,000 parallel asynchronous requests. The project, shared by developer Kylik Daniels on DEV Community on August 1, targets use cases involving LLM stream ingestion and truncated JSON payload reconstruction. It is tagged for use with Python and LangChain-based architectures where reliable streaming output handling is critical.

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Kontigo, a YC S24 startup, is hiring a Founding Engineer

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