AI Agent Debugging in Production: The Deterministic Replay Framework
blaizedsouza · x · 2026-08-03
When AI agents behave unexpectedly, non-deterministic logs often make debugging nearly impossible. This article introduces a 'Deterministic Replay Framework' for agent debugging.
The framework requires recording every input, model version, prompt version, and tool response, and storing complete execution traces to support exact offline replays. The author emphasizes building tracing mechanisms from day one, supporting 'what-if' analyses and sensitive data encryption to ensure agent behavior traceability and fixability.
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