From 5e5340f04109e49ef3af56e0c98f478e9944068a Mon Sep 17 00:00:00 2001 From: arnavsharma93 Date: Wed, 12 Mar 2025 03:29:29 +0530 Subject: [PATCH] Fix: Multi-agent design patterns link --- docs/multi_agent.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/multi_agent.md b/docs/multi_agent.md index c11824925..cea3b901e 100644 --- a/docs/multi_agent.md +++ b/docs/multi_agent.md @@ -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).