How to debug an AI agent execution trace
A step-by-step workflow for moving from a failed answer or slow run to a testable engineering change.
TraceProbe helps you analyze agent logs, identify root causes, compare runs, and improve AI observability with clear execution insights and privacy-first local analysis.
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Copy this key and use it in TraceProbe under Activate Pro.
Practical guides for reading agent traces, finding the first meaningful divergence, and validating a fix.
A step-by-step workflow for moving from a failed answer or slow run to a testable engineering change.
Learn how to read traces, spans, timing, tool results, and model decisions while keeping sensitive data local.
Use a healthy baseline to spot prompt, model, tool, and orchestration regressions.
From slow tool calls to reasoning breakdowns, TraceProbe helps you diagnose, compare, and improve AI agent behavior with precision while keeping sensitive logs local.
Identify exactly where your AI agent failed, understand why it happened, and get actionable recommendations faster.
Compare successful and failed runs side by side to detect regressions, behavior changes, and performance differences.
Analyze AI agent logs locally without uploading trace content to external servers.
Install TraceProbe on Windows, explore sample runs, and start the in-app trial. When you are ready, upgrade to Pro and retrieve your license key through secure checkout.