agent-traffic-analyzer

name	agent-traffic-analyzer
description	Analyzes and visualizes communication patterns between OpenClaw agents to identify bottlenecks and suggest optimization strategies.
version	1.0.0
triggers	["analyze agent communication patterns","visualize traffic between my agents","find bottlenecks in my agent workflow","show me how my agents are communicating","optimize agent interactions","generate communication report","analyze agent network topology","identify inefficient agent communication"]

Agent Traffic Analyzer

Analyzes and visualizes communication patterns between OpenClaw agents to identify bottlenecks and suggest optimization strategies.

Installation

npm install

Usage

# Analyze a communication log file
agent-traffic-analyzer analyze <logfile.json>

# Generate a network visualization
agent-traffic-analyzer visualize <logfile.json> --format dot

# Generate a full report
agent-traffic-analyzer report <logfile.json> --output report.json

# Show summary statistics
agent-traffic-analyzer summary <logfile.json>

# Find bottlenecks
agent-traffic-analyzer bottlenecks <logfile.json>

Input Format

The tool expects JSON files containing an array of agent communication messages:

[
  {
    "id": "msg-001",
    "from": "agent-alpha",
    "to": "agent-beta",
    "timestamp": "2026-01-15T10:30:00Z",
    "type": "request",
    "payload_size": 1024,
    "latency_ms": 45,
    "status": "delivered"
  }
]

Output Formats

• JSON — Structured analysis results
• CSV — Tabular data for spreadsheet import
• DOT — Graphviz network graph definition

Capabilities

• Extract and analyze message flow patterns between OpenClaw agents
• Generate visualizations of communication networks and traffic volumes
• Identify bottlenecks and inefficiencies in agent interactions
• Suggest optimization strategies for improved agent coordination
• Export analysis reports in multiple formats (JSON, CSV, DOT)
• Compare historical communication patterns over time