![[Architecture] SB06-Poo: Multi-Agent System Design + Orchestration Breakdown](https://preview.redd.it/d8s6u4v7s0zg1.png?width=140&height=93&auto=webp&s=6bd009ea9a1d0bf0eddbacbba3d313b229fa9d97)
[Architecture] SB06-Poo: Multi-Agent System Design + Orchestration Breakdown
SB06: Multi-Agent System Design + Orchestration Breakdown
This is a real system designed to run, not a demo.
We built a multi-agent architecture to operate a real-world service business.
🧠 The Problem
Managing a field service operation sounds simple...until you scale:
- Multiple technicians
- Dynamic routes
- Customer communication
- Missed stops / edge cases
- Billing + tracking
Traditional tools break down fast.
🧱 System Overview
At a high level, the system is composed of:
- Orchestrator → coordinates all agent activity
- Field Agents → handle execution (routes, stops, issues)
- Customer Layer → communication and updates
- System Logic Layer → rules, constraints, and validation
Everything runs through structured flows, not ad hoc prompts.
🔄 What we mean by “Contracts”
In this system, a contract defines:
- What an agent is allowed to do
- When it is allowed to act
- What inputs it receives
- What outputs it must produce
Think of it as:
>a controlled interface between agents
This prevents:
- unpredictable behavior
- conflicting actions
- system drift
🔁 Orchestration Flow (Simplified)
- Route is generated
- Stops are assigned
- Field agent executes stops
- Issues are flagged in real time
- Orchestrator adjusts system state
- Customer updates are triggered
Everything is tracked and reversible.
⚠️ Where things break (and why it matters)
Real systems fail in edge cases:
- Locked gates
- Aggressive animals
- Missed visits
- Delayed routes
Instead of failing silently, the system:
- flags the issue
- logs context
- routes decision-making back through the orchestrator
📊 Why this matters
Most “AI systems”:
- generate outputs
- look impressive
- fail in real-world execution
This system:
- operates under constraints
- handles failure states
- produces consistent outcomes
🔗 Related (optional deep dive)
We’ll break down:
- routing logic
- technician workflows
- system state tracking
in follow-up posts.
Final note
Next: Workflow, how this system actually runs (route execution, stop lifecycle).
Questions welcome...focus on system design or behavior.
u/LeadingAssumption796 — 10 days ago