One of the core features of Agentic Radar is the generation of interactive workflow dependency graphs, which is implemented based on the graphviz engine, visualizing the invocation relationships between components in the AI system through nodes and arrows. In terms of technical implementation, the tool analyzes key information such as module imports and function calls in the code to automatically build the system topology.
Specific presentations include:
- Nodes represent functional modules for data processing, decision generation, etc.
- The direction of the arrow indicates the flow of data between modules
- Supports zooming and dragging to view details
When analyzing the CrewAI project, for example, it is clear to see how the chat agent invokes the search tool and how the output generation module relies on the results of the upfront data processing. This visualization capability is particularly helpful for debugging missing connectivity relationships in complex systems or identifying redundant components. This feature can increase architectural understanding efficiency by more than 50% compared to simply reading code.
This answer comes from the articleAgentic Radar: Visualization Tool for Agentic Workflow Security Inspection》
