specify-loop-contract

To enforce safety guardrails for autonomous AI agent loops, define machine-verifiable JSON contracts that specify hard stops, cost budgets, and human-in-the-loop approval gates to prevent unauthorized actions.

A machine-verifiable contract for autonomous coding agents is a standardized JSON file that defines clear operational constraints, triggers, success evidence, and safety protocols to ensure agents operate within strict boundaries.

Define success evidence and human approval gates for AI agent workflows by initializing a .loop/contract.json file that validates schema compliance and mandates explicit human approval before any direct-to-main code delivery.

Yes, Python supports validating JSON contract schemas to prevent unauthorized code delivery by executing scripts that verify the operational constraints, triggers, and safety governance protocols defined within the loop contract.

Yes, you can stop runaway token consumption in AI agents by implementing hard stops and strict cost budgets within the loop contract, which automatically halts agent execution when specified resource limits are reached.

A limitation of using JSON contracts for AI agent governance is that they strictly require predefined schema validation and human approval gates, meaning any task needing fully autonomous execution without human-in-the-loop oversight is not suitable.