Developer Builds Lightweight LLM Request Recorder to Debug Production Failures

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A developer has created a minimal request recorder tool to help reproduce failures from large language model (LLM) API calls in production environments. The tool wraps the native fetch function in Node.js 18+ and logs key details such as request ID, timestamp, URL, model parameters, HTTP status, and raw response body. To protect sensitive data, API keys and authorization headers are never recorded, and prompt content is redacted by default unless explicitly enabled. The recorder saves each failed request as a timestamped JSON file locally, replacing the uninformative error logs that typically appear in standard observability setups. The project has no external dependencies and is designed as a lightweight alternative to full observability platforms for diagnosing LLM-specific issues.

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