OpenSRE: Incident Investigation, Setup & Limitations
Understand OpenSRE's AI operations workflow, who it suits, and the access, deployment, model, and cost requirements before connecting infrastructure.
What does it do?
OpenSRE is a framework for AI-assisted operations investigations. After connecting a team's logs, monitoring, and other tools, it can investigate slow services or alerts, organize evidence into answers, and suggest follow-up actions according to configuration. It runs as a separate tool, not a universal plugin that automatically accesses every server.
Who is it for?
It suits development and operations teams with existing monitoring, controlled service access, and repeatable investigation workflows. For a simple website without useful logs or metrics, establishing that visibility is usually the better first step.
Access, deployment, and costs
Prepare accessible logs or monitoring, appropriate credentials, and a model provider. The current default interactive flow requires account sign-in. Self-hosting requires the documented model, credential, and runtime configuration. Running from Python source has different prerequisites from packaged installation.
The code uses Apache-2.0. Infrastructure, model calls, monitoring services, and hosted features may have separate charges. Check the costs of the chosen deployment rather than assuming the entire workflow is permanently free.
- Choose a controlled test environment with logs or metrics whose meaning you can verify.
- Configure the documented account, model, and read-only data-source access; review costs and data flows.
- Investigate a known alert and verify the evidence before considering broader permissions under team policy.
What should you validate first?
The project currently identifies as public alpha, so interfaces and integrations may change. Start with read-only investigations in a controlled environment before granting execution permissions under team policy.
Conclusions depend on the quality of connected evidence. An agent's hypothesis is not automatically a confirmed root cause. This guide checks documentation, entry-point code, and an internal skill; it does not report a live infrastructure or remediation test.