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How to solve the problem of complex structure of LLM-based AI workflow that is difficult to understand intuitively?

2025-08-29 1.4 K

Problem context and tool orientation

When an AI system involves multiple modules (e.g., prompt templates, tool calls, data pipelines), it is difficult to read the code manually to quickly sort out the execution logic. agentic Radar automatically generates visual workflow diagrams through static code analysis, which is its core solution.

Specific steps

  • Preparation for installation: Ensure Python ≥ 3.9 and install graphviz (for Mac/Linux).brewapt-getChocolatey for Windows.)
  • Perform a scan: Command Line Runagentic-radar -i ./project_dir -o output.html
  • View Results: Open the generated HTML report, the workflow diagram is presented as nodes (modules) and arrows (dependencies), with support for zooming and dragging to view the details.

advanced skill

Additional parameters can be added for specific frameworks (e.g. CrewAI)crewaiOptimize analysis accuracy. To customize the chart style, modify the Jinja2 template file in the project.

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