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46 lines
2.1 KiB
Plaintext
46 lines
2.1 KiB
Plaintext
---
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title: "Output Format"
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description: ""
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icon: "arrow-right-to-bracket"
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mode: "wide"
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---
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## Agent History
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The `run()` method returns an `AgentHistoryList` object with the complete execution history:
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```python
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history = await agent.run()
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# Access useful information
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history.urls() # List of visited URLs
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history.screenshot_paths() # List of screenshot paths
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history.screenshots() # List of screenshots as base64 strings
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history.action_names() # Names of executed actions
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history.extracted_content() # List of extracted content from all actions
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history.errors() # List of errors (with None for steps without errors)
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history.model_actions() # All actions with their parameters
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history.model_outputs() # All model outputs from history
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history.last_action() # Last action in history
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# Analysis methods
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history.final_result() # Get the final extracted content (last step)
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history.is_done() # Check if agent completed successfully
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history.is_successful() # Check if agent completed successfully (returns None if not done)
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history.has_errors() # Check if any errors occurred
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history.model_thoughts() # Get the agent's reasoning process (AgentBrain objects)
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history.action_results() # Get all ActionResult objects from history
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history.action_history() # Get truncated action history with essential fields
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history.number_of_steps() # Get the number of steps in the history
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history.total_duration_seconds() # Get total duration of all steps in seconds
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# Structured output (when using output_model_schema)
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history.structured_output # Property that returns parsed structured output
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```
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See all helper methods in the [AgentHistoryList source code](https://github.com/browser-use/browser-use/blob/main/browser_use/agent/views.py#L301).
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## Structured Output
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For structured output, use the `output_model_schema` parameter with a Pydantic model. [Example](https://github.com/browser-use/browser-use/blob/main/examples/features/custom_output.py).
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