mirror of
https://github.com/j93es/browser-use-oauth.git
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imnyang
638a3d47ce
- Introduced custom output format instructions with example code. - Detailed connection methods for launching and connecting to browsers, including local and remote options. - Provided guidelines for handling sensitive data securely, including best practices and examples. - Documented supported LangChain chat models with setup instructions and environment variable requirements. - Added instructions for customizing the system prompt to control agent behavior.
49 lines
1.3 KiB
Markdown
49 lines
1.3 KiB
Markdown
---
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description: "The default is text. But you can define a structured output format to make post-processing easier."
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applyTo: '**'
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---
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## Custom output format
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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.
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```python
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from pydantic import BaseModel
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# Define the output format as a Pydantic model
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class Post(BaseModel):
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post_title: str
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post_url: str
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num_comments: int
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hours_since_post: int
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class Posts(BaseModel):
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posts: List[Post]
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controller = Controller(output_model=Posts)
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async def main():
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task = 'Go to hackernews show hn and give me the first 5 posts'
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model = ChatOpenAI(model='gpt-4o')
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agent = Agent(task=task, llm=model, controller=controller)
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history = await agent.run()
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result = history.final_result()
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if result:
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parsed: Posts = Posts.model_validate_json(result)
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for post in parsed.posts:
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print('\n--------------------------------')
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print(f'Title: {post.post_title}')
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print(f'URL: {post.post_url}')
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print(f'Comments: {post.num_comments}')
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print(f'Hours since post: {post.hours_since_post}')
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else:
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print('No result')
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if __name__ == '__main__':
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asyncio.run(main())
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```
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