The trajectory logging feature saves in detail all the operations and decision-making processes of the intelligences, and its core values include:
- Debugging Analysis: By inspection
轨迹文件The cause of AI execution errors can be localized - Behavioral research: the researcher can observe the chain of thinking of the intelligences and verify the algorithmic hypotheses
- Process Optimization: Developers can analyze high-frequency tool calls to improve task processing strategies
- security audit: Record all file modifications and command execution for easy problem tracing
This feature is particularly suited to scenarios where you need to understand the logic of how AI works or develop the capabilities of new intelligences.
This answer comes from the articlePywen: A Python Command Line AI Assistant Built for Software DevelopmentThe
May not be reproduced without permission:AI productivity tools " What is the value of Pywen's track logging feature to developers?
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