TuGraph-family/chat2graph

feat(logger): implement the multi-agent system logging

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#8 opened on Dec 5, 2024

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Description

Background

Implementing a logging system for Multi-Agent LLM interactions to ensure observability and debugging capabilities.

Key Requirements

  1. Agent Communication Logging
  • Track inter-agent message exchanges
  • Log message timestamps, sender/receiver, content type, function calling, status, etc.
  • Monitor communication between the agents
  • etc.
  1. Implementation Details
  • Structured log format
  • Log rotation and retention policies
  • Support for different log levels (DEBUG, INFO, ERROR)
  • Include trace IDs for request tracking
  • Implement log aggregation strategy
  • etc.

Contributor guide

Research direction
Examine the existing agent communication code and identify where to add logging statements. Implement structured logging for inter agent messages using Python's logging module. Add trace ID to each log entry for request tracking. Implement log rotation and retention policies.
Tech stack
python
Domain
aibackendobservability
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75