autoOps
An autonomous SRE agent. Point it at a Kubernetes namespace and it models the estate, names the service that is broken, shows the evidence it used, and re-reads the cluster to check its own answer — or hands a human a briefing saying why it could not.
Distribution autoops-sre; the command it installs is autoops.
⚑ The bare name
autoopson PyPI is an unrelated project. Installautoops-sre.
Install
uv tool install autoops-sre # or: pip install autoops-sre
autoops version && autoops --help
Or as a container — the entrypoint is autoops:
docker pull ghcr.io/epappas/autoops:latest
docker run --rm ghcr.io/epappas/autoops:latest version
Requires Python 3.12+.
What It Does
recall -> understand -> [detect -> map topology -> map services -> localize] -> rca -> mitigate -> remember
The bracket is the investigation. Perception is deterministic and comes first: senses read the cluster's own declared state and nominate what looks broken, while metrics, traces and logs supply the evidence that either confirms a candidate or refuses it. A sense never votes on its own nomination. Diagnosis then reaches a confident answer or escalates, and says which.
autoops diagnose --namespace <ns> --results-dir ./out
exit 0 is a confident answer · exit 3 is an escalation briefing for a human · exit 4 means every sense came back without a read, so no answer above it can be trusted.
It deliberately does not act
Stage 8 emits an incident note or a remediation proposal, never a change. The one typed mutation verb that exists has an executor that raises unconditionally and is reachable from no live path — the boundary is code, not policy. It stays locked until the reasoning earns it.
The Command Surface
Seven verbs, plus version.
| Verb | What it is for |
|---|---|
init |
Onboard an estate and check the setup |
diagnose |
Diagnose a live namespace read-only — the product path |
watch |
Continuous mode: scheduled panels, cadence floor, budget, delivered escalations |
offline |
One committed fixture problem, no cluster, recorded telemetry only |
export |
Bundle a finished run for a ticket; turn recorded misses into replayable scenarios |
serve |
Serve over the network: REST + websockets + MCP, or MCP over stdio |
eval |
Evaluation and campaign instrumentation |
autoops --help and autoops <verb> --help carry the full flag surface; the CLI is the
documentation of record for this distribution.
Safety
autoOps is built to run against real infrastructure, so the constraints come first.
- The model is never the authorization boundary. Every tool call passes a deny-by-default policy gate before execution, and gets a structured reason it can replan on rather than a bare refusal.
- Read-only by construction on the shipped path. A read-only policy profile plus a destructive re-check; a diagnosis cannot mutate.
- Any cluster that is not loopback is refused before a single read, until it is named in an allowlist signed out of band. That refusal lives in the loader, not in the model.
- Approvals are short-lived, target-scoped and re-checked before every target contact.
- Secrets never enter the model context or the logs.
Verifying What You Installed
Both distribution files carry PEP 740 publish attestations, generated by the release workflow over OIDC with no long-lived token:
curl -s https://pypi.org/integrity/autoops-sre/0.1.3/autoops_sre-0.1.3-py3-none-any.whl/provenance
The container image carries a BuildKit SBOM and a max-detail provenance record on its manifest:
docker buildx imagetools inspect ghcr.io/epappas/autoops:latest
Source And Support
The development repository is private, so this package page and the container package page are
the public surfaces. The sdist on PyPI (autoops_sre-<version>.tar.gz) contains the complete
src/ tree under the MIT licence — that is the source for this distribution.
Container package: https://github.com/users/epappas/packages/container/package/autoops
Licence
MIT.
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