From Raw Trace to Share-Checked Evidence: The Safety Model Behind AgentInspect

“The trace never left my laptop” sounds reassuring. It says nothing about whether the trace is safe to paste into an issue, attach to a pull request, or send to a colleague.

Agent traces can contain prompts, model outputs, tool arguments, retrieved documents, URLs, identifiers, credentials, or personal data. A local-first capture architecture reduces automatic transmission; it does not remove the responsibility to inspect what was captured.

This is a general logging problem as much as an AI-specific one. The OWASP Logging Cheat Sheet recommends excluding, masking, sanitizing, hashing, or encrypting sensitive fields such as access tokens, passwords, connection strings, keys, and protected personal data. A recent HackerNoon article on Spring AI agent observability explores a different architecture—masking telemetry at export. The workflow here applies the same underlying caution to local evidence artifacts.

I maintain AgentInspect, an open-source TypeScript toolkit for inspecting agent executions locally. This article explains the...

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