Orchestrate a Multi-Agent System

What you'll be able to do

✓Distinguish supervisor-led orchestration from peer-initiated delegation
✓Model a multi-step task as a dependency graph instead of an ordered list
✓Add a third worker that depends on two upstream results and wire its inputs correctly
✓Build a supervisor that sequences workers over A2A while holding no business logic itself
✓Identify and exploit independent steps in a plan to run them in parallel, with a measured latency gain
✓Handle a worker's mid-plan failure with a reasoned retry-or-abort decision instead of a crash
✓Produce a structured, human-auditable trace of a full multi-agent run

Coordinate several independently-built agents into one system that completes a real multi-step task end to end — the exact shape a larger autonomous-engineering system needs at full scale.

⌁ Multi-agent frameworks with role-specialized agents under a shared plan — MetaGPT and AutoGen are the best-known published instances of this coordination pattern.

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