crewai - 💡(How to fix) Fix Example proposal: optional causal audit for agent action traces

Hi CrewAI maintainers,

I’m exploring a small optional integration idea around agent workflow auditability.

I maintain causal-memory-layer, a small Python package for checking causal validity in structured action traces:

• PyPI: https://pypi.org/project/causal-memory-layer/
• GitHub: https://github.com/safal207/Causal-Memory-Layer
• Install: pip install causal-memory-layer
• Release: https://github.com/safal207/Causal-Memory-Layer/releases/tag/v0.4.0

The narrow use case is not policy enforcement, production safety certification, or compliance. It is a lightweight audit primitive:

Given a sequence of agent/tool actions, can we detect actions that succeeded operationally but lack a valid parent cause, approval, or responsibility lineage?

Example failure mode:

1. A crew/task/tool action is recorded as completed.
2. The action references a parent cause, approval id, or upstream responsibility claim.
3. That referenced parent cause is missing or malformed.
4. CML reports broken causal lineage.

This is different from observability/tracing: tracing can show what happened, while CML checks whether the action had a valid causal permission/responsibility path.

Would you be open to a small docs/example PR showing how to convert a simple CrewAI-style workflow trace into CML records and run a causal audit over it?

I would keep it:

• optional,
• dependency-light,
• outside CrewAI core,
• framed as an example only,
• with explicit non-claims.

If this is better suited for Discussions rather than Issues, I’m happy to move it there.

Note: this issue was drafted with AI assistance, so it should be labeled llm-generated according to the CrewAI contribution guidelines.