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RobotecAI / rai

RAI is a multi-vendor agent framework for robotics, utilizing Langchain and ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
Apache License 2.0
163 stars 18 forks source link

chore: reduce system prompt logging verbosity #315

Closed maciejmajek closed 2 days ago

maciejmajek commented 5 days ago

Purpose

HRI launchfile runs multiple nodes which log a lot of redundant data making the output hard to follow

Proposed Changes

Reduces overall verbosity.

Summary by CodeRabbit

These changes aim to streamline logging processes, making it easier for users to understand system behavior without overwhelming them with information.

maciejmajek commented 5 days ago

@coderabbitai full review

coderabbitai[bot] commented 5 days ago

Walkthrough

The changes in this pull request involve modifications to logging practices in the src/rai/rai/node.py and src/rai_hmi/rai_hmi/voice_hmi.py files. The updates include changing certain logging levels from info to debug to reduce verbosity during normal operations while maintaining access to detailed logs during debugging. The append_whoami_info_to_prompt and state_update_callback methods' logging statements were adjusted, as well as the handle_human_message method in the VoiceHMINode class.

Changes

File Path Change Summary
src/rai/rai/node.py - Changed logging level of the system prompt initialization from info to debug.
- Changed logging level of the state_dict in state_update_callback from info to debug.
src/rai_hmi/rai_hmi/voice_hmi.py - Modified logging in handle_human_message to a generic message "Sending reply to human."
- Added a new debug log statement for tracking the content of the last message separately.

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