Could CrewAI generate the first live SABLE reliability trace?

Hi CrewAI maintainers — I’m building SABLE, a model-independent reliability evaluator for tool-using agents. I’m looking for one live third-party runtime submission, and CrewAI is a strong candidate because it has active tool-using agents and production-oriented execution controls.

I’m not asking you to change CrewAI or adopt SABLE. The experiment is intentionally small:

1. Run one real CrewAI agent against a SABLE task.
2. Capture the runtime-generated tool calls/results + before/after state hashes.
3. Run SABLE’s deterministic replay/evaluation.
4. Publish the GitHub Actions run/artifact as provenance.

SABLE quickstart: https://github.com/socksninja/sable-agent-reliability/blob/main/docs/EXTERNAL_SUBMISSION_QUICKSTART.md
Protocol: https://github.com/socksninja/sable-agent-reliability/blob/main/docs/TRACE_SUBMISSION_PROTOCOL_V0.9.md
Open call: https://github.com/socksninja/sable-agent-reliability/issues/17

The trace must come from CrewAI itself — no hand-authored evidence. If the integration is awkward, even one failed attempt that exposes an incompatibility is useful feedback.

This is an invitation to a small, reproducible reliability experiment, not a marketing benchmark claim.

Start with SABLE’s EXTERNAL_SUBMISSION_QUICKSTART.md and TRACE_SUBMISSION_PROTOCOL_V0.9.md, then identify the smallest CrewAI runtime example that can execute the SABLE task. Run one real agent, capture its tool calls, results, and before/after state hashes, and use SABLE’s deterministic evaluation. Done means a published GitHub Actions run or artifact, or a documented failed attempt showing an incompatibility.