Service · 05
Custom Multi-Agent Systems
Orchestrated agents that reason, plan and act together — built to ship.
How it's built
(1) Decomposition — split the goal into agent roles and handoffs. (2) Orchestration — LangGraph state design, supervisor vs swarm choice. (3) Agent build — tools, memory and structured outputs per agent. (4) Evals & tracing — task-success metrics with full-run traces. (5) Production — deploy, autoscale, cost and drift monitoring.
Core fundamentals
- every agent has one job and a measurable success rate
- full traces of every run
- structured outputs between agents (no prose handoffs)
- graceful recovery when one agent fails
Build blueprint
Deliverables
- agent system repo
- orchestration graph doc
- eval dashboard
- deploy pipeline
Stack
LangGraphLangChainAWSTracingQueues
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