AI Network Optimization

Human → AI

AI analyzes network topology and predicts congestion; engineer approves config changes.

5 nodes · 5 edgestelecom

agenthumaninfra

Visual

Upload Network Topologyhuman

Engineer provides network maps, traffic logs, and capacity data.

↓sequential→ AI Capacity Analysis

AI Capacity Analysisagent

Analyze bandwidth utilization, latency hotspots, and routing efficiency.

↓sequential→ Congestion Prediction

Congestion Predictionsystem

Forecast peak load periods and identify at-risk segments.

↓sequential→ Engineer Review

Engineer Reviewhuman

Network engineer validates findings and approves config changes.

↓conditional→ Apply Configuration

↓fallback→ AI Capacity Analysis

Apply Configurationcli

Push approved routing and QoS changes to network devices.

Open in Editor

uc-network-optimization.osop.yaml

osop_version: "1.0"
id: "ai-network-optimization"
name: "AI Network Optimization"
description: "AI analyzes network topology and predicts congestion; engineer approves config changes."

nodes:
  - id: "upload_topology"
    type: "human"
    subtype: "input"
    name: "Upload Network Topology"
    description: "Engineer provides network maps, traffic logs, and capacity data."

  - id: "capacity_analysis"
    type: "agent"
    subtype: "llm"
    name: "AI Capacity Analysis"
    description: "Analyze bandwidth utilization, latency hotspots, and routing efficiency."
    timeout_sec: 90

  - id: "congestion_predict"
    type: "system"
    name: "Congestion Prediction"
    description: "Forecast peak load periods and identify at-risk segments."

  - id: "engineer_review"
    type: "human"
    subtype: "review"
    name: "Engineer Review"
    description: "Network engineer validates findings and approves config changes."
    security:
      approval_gate: true

  - id: "apply_config"
    type: "cli"
    subtype: "script"
    name: "Apply Configuration"
    description: "Push approved routing and QoS changes to network devices."
    security:
      risk_level: "high"

edges:
  - from: "upload_topology"
    to: "capacity_analysis"
    mode: "sequential"
  - from: "capacity_analysis"
    to: "congestion_predict"
    mode: "sequential"
  - from: "congestion_predict"
    to: "engineer_review"
    mode: "sequential"
  - from: "engineer_review"
    to: "apply_config"
    mode: "conditional"
    when: "review.approved == true"
  - from: "engineer_review"
    to: "capacity_analysis"
    mode: "fallback"
    label: "Re-analyze with adjusted parameters"

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