reprosieve processes failed AI agent traces and distills them into minimal, redacted, offline predicate reproductions. It helps developers isolate and reproduce the exact conditions that caused agent failures without needing the original runtime environment. Built for AI engineers working on autonomous agents and complex reasoning systems.
reprosieve sits in PulseGate's LLM eval & observability category. It focuses on debugging and reproducing failures from complex AI agent execution traces. reprosieve is an open-source project aimed at developers. The project is open source (Apache-2.0). reprosieve is available on the command line.
Behind reprosieve is DelshadH, and the product first shipped in 2026. The project is developed in the open on GitHub with 68 commits in the last 90 days. Among its 4 catalogued features are trace reduction, predicate reproduction, and offline analysis.
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