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Fix: Multi-agent design patterns link

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arnavsharma93 2025-03-12 03:29:29 +05:30
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docs/multi_agent.md
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@ -34,4 +34,4 @@ While orchestrating via LLM is powerful, orchestrating via LLM makes tasks more
- Running the agent that performs the task in a `while` loop with an agent that evaluates and provides feedback, until the evaluator says the output passes certain criteria.
- Running multiple agents in parallel, e.g. via Python primitives like `asyncio.gather`. This is useful for speed when you have multiple tasks that don't depend on each other.
We have a number of examples in [`examples/agent_patterns`](https://github.com/openai/openai-agents-python/examples/agent_patterns).
We have a number of examples in [`examples/agent_patterns`](https://github.com/openai/openai-agents-python/tree/main/examples/agent_patterns).