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JuryTrace Tool Makes AI Agent Judge Decisions Transparent and Auditable

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JuryTrace is a lightweight Python tool designed to make the decisions of AI agent regression judges inspectable and accountable. It runs two configured judges over typed JSONL trajectories, validates their evidence through exact quote matching, and routes unresolved or conflicting cases to a durable human review queue backed by SQLite. The tool uses an asynchronous LangGraph workflow with strict validation rules, ensuring that malformed responses, timeouts, or mismatched evidence cannot automatically become accepted decisions. A golden label supplied with each input allows JuryTrace to flag false acceptances as audit signals, though the tool explicitly treats these as inspection prompts rather than benchmark claims. The project positions itself as a workflow and evidence exercise, not a guarantee of objective truth from AI judges.

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JuryTrace Tool Makes AI Agent Judge Decisions Transparent and Auditable · ShortSingh