Langroid has the following observability features built in:
- Interactive log: Record all message exchanges between intelligences
- Source tracking: Maintaining the origin and lineage of messages
- Structured Output: Messages and statuses are presented in a standardized format
Usage: By looking at the state log generated by the framework, we can clearly trace the links of the problem occurrence; the parent ID field of the message can restore the complete conversation flow; for complex problems, the task_name field in the log can be used to locate the specific responsible intelligences. These designs significantly reduce the debugging difficulty of multi-intelligence systems.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
May not be reproduced without permission:AI productivity tools " How to improve the debugging and observing experience of multi-intelligent body systems?
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