Task Delegation

• Key points are in the visual diagram above.

Dumping entire chat logs into worker prompts wastes tokens and confuses specialists. Smart delegation transfers intent, constraints, and relevant artifacts only.

Delegation is writing a clear Jira ticket for a colleague — acceptance criteria, context links, deadline — not forwarding a 200-message Slack thread.

Scenario

Supervisor delegates `{task: 'Summarize attachment', file_url: '...', max_words: 300}` to Document Agent — no billing context included.

Solution

In Multi-Agent Systems, apply Task Delegation to this scenario: Supervisor delegates `{task: 'Summarize attachment', file_url: '. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to Task Delegation (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where Task Delegation happens in the code.

1@tool2def delegate_research(query: str, max_sources: int = 5) -> str:  # define a reusable function3    result = research_agent.run(ResearchTask(query=query, max_sources=max_sources))  # key line for Task Delegation4    return result.summary  # return the result

• Treating Task Delegation as a black box without evaluation
• Ignoring cost and latency in production
• Skipping error handling for task delegation

Quick recap — the most important points from this module.