Why your LLM tool calls silently break — and a ~10µs fix
A new tool called Suture has been developed to address a common issue in LLM streaming where tool calls or structured output can be truncated, leading to JSON parsing errors. This problem typically occurs under heavy load when the model's response is cut off before completion. Suture acts as a reverse proxy, intercepting the Server-Sent Events stream and appending the necessary characters to ensure the final JSON output is valid, all within microseconds without altering the user's code or API keys. AI
IMPACT Resolves a common failure mode in LLM streaming, improving reliability for applications using tool calls or structured output.