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Have a manager agent call specialists and synthesize one answer

Delegate bounded subtasks to specialist agents while a manager retains ownership of the final answer.

Goal

Call multiple specialists for a compound request and have the manager review and combine their results.

Steps

  1. Define the user goal owned by the manager and non-overlapping output contracts for specialists. [openai-multi-agent]
  2. Limit each specialist’s context, tools, and maximum scope. [openai-multi-agent]
  3. Register each specialist with specialist.as_tool(tool_name="...") so the manager retains control of the final answer. [openai-multi-agent]
  4. Require bounded results and evidence from specialists; let the manager reconcile conflicts and gaps before answering. [openai-multi-agent]
  5. Test one specialist, multiple specialists, and specialist failure to ensure the manager retains final control. [openai-multi-agent]

How to verify

Confirm specialist calls return as subtasks, while the manager produces one final answer and flags unresolved conflicts.

Troubleshooting

If the manager loses control of the final answer, use specialists as tools rather than transferring ownership with a handoff.

Permissions

Prerequisites

Permissions

Limitations

SDK behavior varies by version. Check the pinned revision against your agent or client, then review data retention, authorization, and side effects before production use.

Pinned upstream source

https://github.com/openai/openai-agents-python/blob/f53c62451c7f34c15f0c87fa745e05404025420f/docs/multi_agent.md

Repository
openai/openai-agents-python
File path
docs/multi_agent.md
Pinned commit
f53c62451c7f34c15f0c87fa745e05404025420f
Source checked
2026-10-14 · Reviewed against the pinned upstream source

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License: MIT

Main topic

Turn ecommerce campaign materials into a reviewable weekly brief

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