chaoz_

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:

1. Inspecting complex workflows and decision trees

2. Debugging multi-agent interactions

3. Testing inputs at different pipeline stages

----------------

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.

- Do tools exist that can import coded agent networks (LangChain, CrewAI, etc.) and generate visual representations for inspection/debugging?

- Is there market demand for a general-purpose visual inspector that works across multiple agent frameworks?

----------------

Essentially looking for something that can parse existing agent code and create interactive visual workflows for better understanding and troubleshooting.

Has anyone seen or built solutions in this space?

I don't know anything about crypto, but why is it technically so difficult to transform hash function computations into (at least partially) decentralized LLM training? Have there been any attempts to make it at least somewhat useful?