CrewAI Integration Blueprint

Approve CrewAI tool use at the task and role boundary.

Use Stacksona before a crew member executes sensitive tools, delegates work, or produces output that changes a business system.

Governance object: task + role + tool intent.

Official docs ↗Flows concept ↗

Where Stacksona sits

Crew task

role has intent

Tool wrapper

Gate request

Reviewer

role-aware decision

Tool result

approved or blocked

Crew adapts

continue or revise

Audit

task timeline

The useful integration point is the last safe moment before an external action, privileged read, or customer-visible response occurs.

Implementation steps

Use these steps as the first implementation pass. Start with one high-risk action, verify the reviewer workflow, then expand coverage.

Map roles to policiesDecide which agent roles can request approvals and which tools require review for each role.
Wrap sensitive toolsPut Gate in the tool wrapper, not after the tool runs, so the crew waits before money, data, or customer-facing actions happen.
Include delegation contextSend crew name, role, task description, expected output, tool arguments, and delegation chain to the reviewer.
Use reviewer outcome in crew controlApproved decisions execute the tool; rejected decisions return a structured tool result that tells the crew to revise or escalate.

Recommended package

Use the Stacksona SDK or API wrapper

For Node.js or TypeScript guard services, start with the live SDK. For Python runtimes, call the same guard through your backend or a small HTTP wrapper.

npm i @stacksona/sdk

View SDK on npm

Approval payload to send

Keep the payload compact enough for a reviewer to decide quickly, but specific enough to explain exactly what the agent wants to do.

Field	What to include
agent	Stable name for the agent, crew, graph, or workflow that is asking for approval.
action	Human-readable verb such as `send_email`, `issue_refund`, or `execute_tool`.
risk	Use `low`, `medium`, or `high` so reviewers can triage quickly.
subject	The customer, ticket, repository, account, or data source affected by the action.
context	Small, reviewable facts: proposed arguments, policy signals, retrieved sources, role, task id, and links.

Sensitive tool wrapper

starter pattern

def governed_tool_call(agent_role, task, tool_name, tool_args):
    decision = gate_request({
        "agent": f"support-crew:{agent_role}",
        "action": tool_name,
        "risk": "high",
        "subject": task.id,
        "context": {
            "crew": "support-refunds",
            "role": agent_role,
            "task": task.description,
            "expected_output": task.expected_output,
            "tool_args": tool_args,
        },
    })

    if decision["status"] != "approved":
        return {"blocked": True, "reason": "Stacksona review required"}
    return run_tool(tool_name, **tool_args)

Treat this as the shape of the guard. Replace gate_request, stacksona.gate.request, or run_tool with the SDK/API calls used in your runtime.

Practical guidance

Best gate points

Tool wrappers, Flow steps, and handoffs from researcher/planner roles to executor roles.

Reviewer context

Role, task objective, proposed tool arguments, and business impact.

Avoid

Do not rely on persona instructions alone for high-impact actions.

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