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How to compare what an agent was asked, said, and did with Tracekit

Record a v2 coding-agent run and run analysis that compares the request, the model's account, and what ran.

Who it is forA team lead reviewing a coding agent session who suspects the agent's report does not match what actually happened.

The problemAn agent's summary of its work can differ from the calls it actually made, and that gap is hard to see by hand.

The outcomeYou get findings that flag mismatches between what was asked, what the model said, and what ran, kept separate from the integrity result.

What you need first

  • Python 3.9 to 3.13 (framework integrations need 3.10 or newer), or uv for the one-line demo
  • A terminal on your own machine; runs on your own machines per the README
  • Dev mode runs as your user, so it protects nothing against an agent running as you

Steps

  1. Run pip install tracekit-ai.
  2. Run tracekit init --dev --v2 to wire the coding agent to a dev signer.
  3. Run your coding agent session as usual.
  4. Run tracekit analyze --v2 on the recorded run.
  5. Read each finding as an opinion, and check the integrity result separately with tracekit last.

Prompt for your agent

In the project at <project-path>, run `pip install tracekit-ai` and `tracekit init --dev --v2`, complete one short coding-agent session, then run `tracekit analyze --v2`. Expect findings comparing requested, reported, and executed actions. Verify that the integrity status from `tracekit last` is reported separately from the findings.

Caveat. What the model said is its own account, so findings are an opinion beside the integrity result, not proof of what happened.

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