问HN：为代理工作流程提供一个“通用”可视化工具是否有价值？
我们在低代码（LangFlow）和高代码环境中构建人工智能代理。低代码解决方案具有内置的可视化界面，但我们的编码代理网络缺乏以下可视化工具：
1. 检查复杂的工作流程和决策树
2. 调试多代理交互
3. 在不同的管道阶段测试输入
现有的解决方案（例如在聊天用户界面中将代理作为工具暴露）感觉像是临时的，并没有解决核心的检查问题。我们需要一种能够将编码灵活性与可视化清晰度结合起来的工具。
- 是否存在能够导入编码代理网络（如LangChain、CrewAI等）并生成可视化表示以便检查/调试的工具？
- 是否有市场需求用于跨多个代理框架的通用可视化检查器？
我们基本上在寻找一种能够解析现有代理代码并创建交互式可视化工作流程，以便更好地理解和排除故障的工具。
有没有人见过或构建过这个领域的解决方案？
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We build AI agents in both low-code (LangFlow) and high-code environments. Low-code solutions have built-in visual interfaces, but our coded agent networks lack visual tooling for:<p>1. Inspecting complex workflows and decision trees<p>2. Debugging multi-agent interactions<p>3. Testing inputs at different pipeline stages<p>----------------<p>Existing workarounds (like exposing agents as tools in chat UIs) feel hacky and don't solve the core inspection problem. We need something that bridges coded flexibility with visual clarity.<p>- Do tools exist that can import coded agent networks (LangChain, CrewAI, etc.) and generate visual representations for inspection/debugging?<p>- Is there market demand for a general-purpose visual inspector that works across multiple agent frameworks?<p>----------------<p>Essentially looking for something that can parse existing agent code and create interactive visual workflows for better understanding and troubleshooting.<p>Has anyone seen or built solutions in this space?