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WorkflowsMay 12, 2026·2 min de lecture

APO — LLM-Powered Observability Workflows

APO (AutoPilot Observability) combines OpenTelemetry and eBPF with agentic workflows to triage alerts and find root causes with verifiable charts.

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Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Native · 94/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Cli
Installation
Manual
Confiance
Confiance : Established
Point d'entrée
cd backend && docker build -t apo-backend . && docker run --rm -p 8080:8080 apo-backend
Commande CLI universelle
npx tokrepo install 2e546399-3f6d-5d30-a01f-d81be8165e9c
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

APO (AutoPilot Observability) combines OpenTelemetry and eBPF with agentic workflows to triage alerts and find root causes with verifiable charts.

  • Best for: SRE/Platform teams prototyping AI-assisted incident triage with real telemetry evidence
  • Works with: OpenTelemetry data sources; eBPF-based tracing (per README); Docker for quick runs
  • Setup time: 20–60 minutes

Practical Notes

  • GitHub: 380 stars · 54 forks; pushed 2026-03-25 (verified via GitHub API).
  • Repo ships a multi-stage backend/Dockerfile that builds apo-backend and includes SQLite + static assets.
  • Kubernetes manifests exist in backend/deploy/apo-backend-deploy.yml, useful for cluster trials.

Main

How to keep “LLM observability” grounded:

  1. Start from one workflow (alert validity triage → RCA) and force the agent to cite the specific charts/metrics it used.
  2. Keep a deterministic query layer (OTel + logs/metrics/traces) and have the agent generate queries, not conclusions.
  3. Store the workflow runs as incident artifacts so you can replay and compare outcomes across deployments.
  4. Introduce guardrails: block actions that mutate production without explicit approval and a rollback plan.

The goal is not to replace dashboards—it is to turn “what should I look at next?” into a repeatable runbook.

FAQ

Q: Does this replace OpenTelemetry? A: No—it builds on OpenTelemetry and enriches it with eBPF data and workflow automation.

Q: Can I run it locally first? A: Yes—the repo includes a Dockerfile for apo-backend so you can trial quickly.

Q: How do I reduce hallucinations? A: Require evidence: charts, query outputs, and explicit links to metrics/traces used.

🙏

Source et remerciements

Source: https://github.com/CloudDetail/apo > License: Apache-2.0 > GitHub stars: 380 · forks: 54

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