agent-sre just landed on PyPI as part of Microsoft's Agent Governance Toolkit. Seven packages. SLOs, error budgets, circuit breakers, chaos testing, progressive delivery. That is the full SRE playbook ported to agent systems. It is a real idea and it deserves a real look. I want to talk about what it actually means for solo builders, because the approach is meaningfully different from what I built with agentguard47. What agent-sre does Microsoft's toolkit applies org-scale SRE to agent fleets. The circuit breaker trips when an agent's safety SLI drops below 99%. The error budget engine tracks burn rate across an entire deployment. Chaos testing stress-tests failure modes before production. This is designed for teams running dozens of agents at scale. Think: enterprise ML platform team with dedicated SRE headcount, not one person with a Task Scheduler and a markdown vault. To use it well you need a defined agent fleet, SLI instrumentation, a policy engine, and someone who speaks SRE.…