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Architecture Overview

The Nephio O-RAN Claude Agents project implements a sophisticated, cloud-native architecture designed to orchestrate complex O-RAN L Release deployments using intelligent AI agents and Nephio R5 infrastructure.

🏗️ High-Level Architecture​

🧠 Agent Architecture​

Agent Design Principles​

  1. Single Responsibility: Each agent specializes in a specific domain
  2. Autonomous Operation: Agents can operate independently
  3. Collaborative Intelligence: Agents coordinate through the orchestrator
  4. Event-Driven: Reactive to system state changes
  5. Idempotent: Safe to retry operations
  6. Observable: Comprehensive logging and metrics

Agent Communication Pattern​

📊 Component Interaction Model​

O-RAN Interface Architecture​

🔄 Deployment Workflow Architecture​

GitOps Integration Flow​

🛡️ Security Architecture​

Zero-Trust Security Model​

📈 Observability Architecture​

Three Pillars of Observability​

🚀 Performance & Scalability Architecture​

Multi-Cluster Scalability Model​

🧪 AI/ML Integration Architecture​

Kubeflow ML Pipeline Integration​

🏷️ Key Architecture Principles​

1. Cloud-Native First​

  • Kubernetes-native: All components run on Kubernetes
  • Containerized: Everything is containerized with OCI standards
  • 12-Factor App: Following cloud-native application principles
  • API-driven: REST/GraphQL APIs for all interactions

2. GitOps Everything​

  • Git as single source of truth: All configurations in Git
  • Declarative: Infrastructure and applications as code
  • Automated: Continuous deployment through GitOps controllers
  • Auditable: Complete change history in Git

3. Security by Design​

  • Zero-trust architecture: Never trust, always verify
  • Least privilege: Minimal required permissions
  • Defense in depth: Multiple security layers
  • Compliance first: Built-in WG11 and FIPS compliance

4. Observable by Default​

  • Metrics everywhere: Prometheus metrics for all components
  • Structured logging: Consistent JSON logging format
  • Distributed tracing: End-to-end request tracing
  • Custom dashboards: O-RAN specific visualizations

5. AI-Powered Operations​

  • Intelligent automation: AI agents for decision making
  • Predictive analytics: Machine learning for optimization
  • Self-healing: Automatic issue detection and resolution
  • Continuous learning: Models improve over time

Next Steps​