docs/customize/output-format.mdx

---
title: "Output Format"
description: "The default is text. But you can define a structured output format to make post-processing easier."
icon: "code"
---

## Custom output format
With [this example](https://github.com/browser-use/browser-use/blob/main/examples/features/custom_output.py) you can define what output format the agent should return to you.

```python
from pydantic import BaseModel
# Define the output format as a Pydantic model
class Post(BaseModel):
	post_title: str
	post_url: str
	num_comments: int
	hours_since_post: int


class Posts(BaseModel):
	posts: List[Post]


controller = Controller(output_model=Posts)


async def main():
	task = 'Go to hackernews show hn and give me the first  5 posts'
	model = ChatOpenAI(model='gpt-4o')
	agent = Agent(task=task, llm=model, controller=controller)

	history = await agent.run()

	result = history.final_result()
	if result:
		parsed: Posts = Posts.model_validate_json(result)

		for post in parsed.posts:
			print('\n--------------------------------')
			print(f'Title:            {post.post_title}')
			print(f'URL:              {post.post_url}')
			print(f'Comments:         {post.num_comments}')
			print(f'Hours since post: {post.hours_since_post}')
	else:
		print('No result')


if __name__ == '__main__':
	asyncio.run(main())
```