Staffy is your runtime safety layer for
building production AI agents.
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Agent overview
Support agent
Customer experience
Active
Human approval
01
Action request
run_1042Issue a customer refund
$250.00 · Order #1042
payments.refund
Refunds above $100 require approval
Run timeline
Agent identified
Owner & environment resolved
Policy evaluated
Human review required
Action paused
Awaiting a human decision
Explore the control plane. Select an agent and try an approval with sample data.
Agent Governance
Every agent. An owner.
A shared view of your agents, their owners, and the environments they operate in.
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Workspace / agents
Agent registry
- Total agents
- 07
- Active
- 04
- Environments
- 03
| Agent | Owner | Status |
|---|---|---|
| Support agentsupport-prod | Support | Active |
| Finance agentfinance-prod | Finance | Active |
| Research agentresearch-prod | Research | Disabled |
3 agents in productionOwnership tracked
Runtime Policy Enforcement
Set the rules. Control the action.
Give every action a boundary. Allow it, block it, or route it to a human before it runs.
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Policies / sandbox
Refund guardrail
Issue a refund
support-agent · production
- Requested amount
- $250.00
- Tool
- payments.refund
refund.amount>$100.00Condition matchedThen apply
Ready to evaluate
Run the action to see the decision.
Human Approval & Audit
Human decisions. Clear records.
Bring the right context to every approval. Keep a clear trail of what happened and who decided.
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Review queue / req_1042
Refund request
Support agent
Pending approval- Customer / order
- Alex Morgan · #1042
- Amount
- $250.00
- Requested by
- Customer experience
- Tool
- payments.refund
Refund approval policy
Amounts above $100 pause for review. Your decision is recorded with the request.
Audit trail
- 10:42:01 Approval requested Agent
- 10:42:02Policy matchedSystem
- Pending Awaiting decision Reviewer
SDK
Wrap your agent. Bring it under control.
Keep the tools you already use. Connect your agents to a common layer of governance.
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Developer / quickstart
Connect your agent
with StaffyClient() as client:
@client.tool("payment.refund")
def refund_payment(payment_id, amount_cents, request_id):
return payments.refund(
payment_id=payment_id,
amount_cents=amount_cents,
idempotency_key=request_id,
)
# Pass refund_payment to your agent here.payments is your existing provider adapter. Configure credentials on your server.
Output
ready$ python payment_agent.py
› Ready to preview tool integration
Preview the integration without calling a payment provider.