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About
runtape records AI agent runs locally and identifies which part of the context caused a given decision, such as a tool call. It reruns the decision with and without the suspect context, tests candidate fixes against the exact context that failed, and can write a pytest regression test for the fix that holds.
At a glance
runtape replays a recorded agent decision with parts of the context changed, then compares candidate fixes and can generate a regression test. It is worth evaluating when you have a repeatable failure and need evidence about which context affected it.
Good fit
Agent developers who can capture a failing run and replay it without performing real tool actions.
Consider something else when
Use ordinary trace inspection when the cause is already clear or you cannot safely replay the recorded context.
Start here
Record a synthetic agent choosing between harmless tools. Remove one misleading instruction and compare the choice across several reruns.
Cost and requirements
The MIT-licensed Python package accepts its own recordings and documents imports from tracing tools. Replays can incur model costs.
Limits to know
Results depend on the model and replay setup. Traces may contain private prompts and tool data, so inspect what you store and what the replay sends.
Sources checked 2026-11-05. Source-based assessment.
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