CortexHub Python SDK — Runtime governance for AI systems. One decorator, any tool, any framework.
Project description
CortexHub Python SDK
Runtime governance for AI systems. One decorator. Any tool. Any framework.
pip install cortexhub
Python 3.10–3.12.
Quick start
Identity comes from your agent key only — the control plane assigns the canonical agent id. Set CORTEXHUB_AGENT_KEY (or pass agent_key= to init()).
import cortexhub
cx = cortexhub.init() # requires CORTEXHUB_AGENT_KEY (or pass agent_key=)
@cx.tool
def process_payment(customer_id: str, amount: str, reference: str) -> dict:
"""Process a payment."""
return payment_service.charge(customer_id, amount, reference)
# Policies, approvals, and audit trail are configured in the control plane.
Configuration
| Env var | Description |
|---|---|
CORTEXHUB_AGENT_KEY |
Agent identity secret (required for cloud enforcement) |
CORTEXHUB_DEBUG |
Set to 1 or true for readable SDK logs: tool + arguments, policy name + condition, and decision |
CORTEXHUB_LOG_LEVEL |
e.g. DEBUG, INFO (default INFO) |
Debug logging
With CORTEXHUB_DEBUG=1 (or CORTEXHUB_DEBUG_POLICY=1), the SDK logs in real time:
- Tool encountered — tool name and argument names/values (values redacted when privacy mode is on)
- Policy evaluated — policy name, condition/reasoning, and decision (allow / deny / escalate)
- Decision — final effect, policy, and reason for the current tool call
Useful for seeing exactly what CortexHub is evaluating and why a tool was allowed, blocked, or sent for approval.
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