Recipe · Python (any function)
Python (any function): guard refunds with CAIN
Step by step, for a support agent that issues refunds: install, wrap the tool, see the live decision, write and test a rule, handle approvals.
Last reviewed 2026-10-02
1 Get a key
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Give each agent its own key in production (console → Agent keys): decisions, trust history and revocation are then per agent.
2 Install
pip install "cainstudio @ https://cainstudio.online/cainstudio-0.4.1-py3-none-any.whl#sha256=1bea5cf49aeeb2775acec58933fc39b008a1c84bfd7c9690c54723ed707af689"
export CAIN_API_KEY=...cainstudio 0.4.1, pinned by URL and SHA-256 so pip installs exactly the published wheel (the package is not on PyPI yet). Framework dependencies come from PyPI as usual.
3 Put CAIN in front of the function that acts
@cainstudio.guard() sends the function's name and arguments to CAIN before the body runs. Async functions work the same way.
import cainstudio
@cainstudio.guard(agent_id="refunds-agent")
def issue_refund(order_id: str, amount_usd: float) -> str:
"""Refunds: a support agent that issues refunds."""
... # your existing code, unchanged
try:
issue_refund(order_id='ord_1042', amount_usd=480)
except cainstudio.ApprovalRequired as e:
print("held for a human:", e.approval_id)
except cainstudio.ActionBlocked as e:
print("refused:", e.decision.reasons)
except cainstudio.CainUnavailable:
print("CAIN unreachable: not run") # fail-closedOn a refusal the agent gets an exception: ActionBlocked, ApprovalRequired (with the approval id) or CainUnavailable. The tool body never runs: not on a refusal, not on a hold, not when CAIN cannot be reached.
4 See what CAIN decides for this exact call
This is the request the integration sends when the model calls issue_refund with these arguments. record: false evaluates it without writing an evidence record. A new agent has no trust history, so expect REQUIRE_APPROVAL at first; destinations outside your egress allowlist are refused by the egress stage.
5 Write the rule, and test it before you save it
Routine refunds stay automatic; large ones are held for a human, with the order and amount in the approval.
The panel sends the draft rule to the rule tester: it says which rule would decide the call and saves nothing. Swap in the safe arguments below to see it pass through. matches is a case-insensitive glob (*, ?), not a regular expression; conditions on one rule must all hold; the first matching rule by priority wins.
Safe arguments: {"order_id": "ord_1042", "amount_usd": 12}
When it does what you want, save it from the console or with POST /fabric/tool-rules:
curl -sS -X POST https://cainstudio.online/fabric/tool-rules \
-H "X-API-Key: $CAIN_API_KEY" -H 'Content-Type: application/json' \
-d '{"name": "refunds-guard", "effect": "require_approval", "priority": 10, "match_path": "/tools/issue_refund", "conditions": [{"field": "amount_usd", "op": "gt", "value": 50}]}'6 Handle the calls that wait for a person
A held call is not executed. It appears in the approval queue with its exact arguments; an approval lets that one call run once. Adapters can wait instead of returning: wait_for_approval=120.
GET /fabric/approvals
7 Check it before you ship
cainstudio redteam --agent refunds-agent # dry-runs dangerous calls; exit 2 if any would run
cainstudio decisions # what was decided, and why
cainstudio explain <decision_id>Every recorded decision is signed; Cain().verify(decision) checks its quorum certificate on your machine (Python SDK).
More
Python (any function), other tool types
Try CAIN-42 on your own agents
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