Harden CrewAI agents with Vijil

01 · INSTALL

$ pip install vijil-sdk        # CLI + SDK
$ pip install vijil-dome       # in-agent guards

02 · GUARD — TWO LINES OF CODE

from vijil_dome import control

@control(policy="policy.yaml")   # guards in + out
def run_crew(inputs: dict) -> str:
    return crew.kickoff(inputs=inputs)

Wrap the crew’s kickoff — delegated agents and their tool calls are covered by the same policy. Per-agent guards are available for finer control. Enforce or shadow mode; sync or async.

03 · EVALUATE

$ vijil evaluate my-agent --baseline
$ vijil evaluate my-agent      # gate your pipeline

Diamond generates probes specific to your agent’s tools and data sources and returns a trust score with findings that drill down to evidence. Run it as a build step so every change is scored before it ships.

04 · ADAPT

$ vijil adapt my-agent      # learn from production

Darwin watches Dome’s runtime telemetry, attributes failures to root causes, and proposes hardening changes as a pull request — re-verified by Diamond before merge. Nothing ships without your approval.

Full reference, policies, and examples in the Vijil docs. The commands above are illustrative — check the docs for current syntax.

LangChain guide Google ADK guide ●  Vijil Dome ●  Vijil Diamond ●  Vijil Darwin