I built an open-source governance gate for AI agent deployments

The $50K deploy that shouldn't have happened Imagine this: your team ships an autonomous AI agent to production. It works great in staging. But in production, a retry loop fires endlessly, burning through tokens. By the time someone notices, the bill is $50K and climbing. No kill switch. No cost cap. No rate limit. That's the problem I built release-gate to solve. What is release-gate? It's an open-source tool that sits at one specific point in your CI/CD pipeline — between test and deploy. It reads a release-gate.yaml file in your repo and runs governance checks against it. The result is binary: PASS or FAIL. No partial deploys. No "warnings you can ignore." What it checks (v0.2.0) 1. INPUT_CONTRACT — Schema Validation Does your agent validate incoming requests? release-gate checks that your JSON schema is syntactically valid, that sample inputs pass, and that bad inputs fail. yamlinput_contract: schema: type: object required: [prompt] properties: prompt: type: string maxLength: 1000