CrewAI
Multi-agent crew orchestration.
Python framework for defining multi-agent crews with explicit role, goal, and backstory per agent. Popular in production for marketing-research-content workflows. Trustvice Receipts attaches at the crew-execution layer to capture every agent's contribution and the orchestrator's routing decisions.
Beta
Status
SDK / Library
Pattern
Python
Runtime
Not yet published
SDK version
Readiness
What “Beta” means for CrewAI
The integration path is built and tested. Real customers can attach now, but expect minor breaking changes until the 1.0 contract freeze.
How it attaches
SDK / Library.
Install the trustvice-actor-crewai package and call witness.attach() once during agent initialisation.
Install the Trustvice adapter package from npm, PyPI, or cargo and call witness.attach(agent) in your application.
pip install trustvice-actor-crewai
- 1
Install the adapter
Add trustvice-actor-crewai to your project from PyPI.
- 2
Issue a workspace API key
Generate a twk_-prefixed key in the dashboard under Settings → API Keys, scoped to the workspace and environment this agent's data should land in.
- 3
Attach the witness
Call witness.attach(agent) once when you initialise your CrewAI agent. The adapter registers the framework callbacks, handles retries, and performs the workspace handshake.
- 4
Verify
Trigger one agent run. The dashboard's Witness page shows the canonical record within ~1 second of the agent emitting it.
pip install trustvice-actor-crewai
Coverage
3 event types captured.
agent.invocationEvery top-level agent run — the input, the resolved output, timing, and token usage.
tool.callEach tool / function the agent invokes, with arguments and the returned result.
sub_agent.spawnSub-agents the orchestrator spawns, captured with their parent lineage.
The full pattern guide
SDK / Library — end to end.
Every framework on this pattern shares the same platform-side spine, endpoints, and gotchas. The pattern guide covers them in full.
Read the SDK / Library guideNeed help landing CrewAI?
Talk to the integration team.
We help you land the integration end to end — including the parts that live in your environment.
Request integration help
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