browser-use/AGENTS.MD

<guidelines>
Browser-Use is an AI agent that autonomously interacts with the web. It takes a user-defined task, navigates web pages using Chromium via CDP, processes HTML, and repeatedly queries a language model (like `gpt-4.1-mini`) to decide the next action—until the task is completed.

# Development Rules
- Always use [`uv`](mdc:https:/github.com/astral-sh/uv) instead of `pip`
```bash
uv venv --python 3.11
source .venv/bin/activate
uv sync
```

- Do not replace model names. Users try new models which you will not know about yet.

- Type-safe coding: Use Pydantic v2 models for all internal action schemas, task inputs/outputs, and tools I/O. This ensures robust validation and LLM-call integrity.

- Pre-commit formatting: ALWAYS make sure to run pre-commit before making PRs.

- Use descriptive names and docstrings for each action.

- Prefer returning `ActionResult` with structured content to help the agent reason better.

- Follow the documentation in <browser_use_docs/>: some docs have been truncated, if unsure, you can visit or request the information from specific docs pages before proceeding.

-  Never create random examples: When asked to implement a feature never create new files that show off that feature -> the code just gets messy. If you do anything to test it out, just use inline code inside the terminal (if you want).

</guidelines>

<browser_use_docs>
# Human Quickstart
Source: (go to or request this content to learn more) https://docs.browser-use.com/quickstart

## 1. Fast setup

<Tabs>
  <Tab title="uv">
    ```bash create environment  theme={null}
    uv venv --python 3.12
    ```
  </Tab>

  <Tab title="pip">
    ```bash create environment with python >= 3.11  theme={null}
    python3.12 -m venv .venv
    ```
  </Tab>
</Tabs>

<Tabs>
  <Tab title="Mac/Linux">
    ```bash activate environment theme={null}
    source .venv/bin/activate
    ```
  </Tab>

  <Tab title="Windows">
    ```bash activate environment theme={null}
    .venv\Scripts\activate
    ```
  </Tab>
</Tabs>

<Tabs>
  <Tab title="uv">
    ```bash install browser-use & chromium theme={null}
    uv pip install browser-use
    uvx playwright install chromium --with-deps 
    ```
  </Tab>

  <Tab title="pip">
    ```bash install browser-use & chromium theme={null}
    pip install browser-use
    pip install playwright && playwright install chromium --with-deps
    ```
  </Tab>
</Tabs>

## 2. Choose your favorite LLM

Create a `.env` file and add your API key. Don't have one? Start with a [free Gemini key](https://aistudio.google.com/app/u/1/apikey?pli=1).

<Tabs>
  <Tab title="Mac/Linux">
    ```bash create .env file theme={null}
    touch .env
    ```
  </Tab>

  <Tab title="Windows">
    ```cmd create .env file theme={null}
    echo. > .env
    ```
  </Tab>
</Tabs>

<Tabs>
  <Tab title="Google">
    ```bash add your key to .env file theme={null}
    GEMINI_API_KEY=
    ```
  </Tab>

  <Tab title="OpenAI">
    ```bash add your key to .env file theme={null}
    OPENAI_API_KEY=
    ```
  </Tab>

  <Tab title="Anthropic">
    ```bash add your key to .env file theme={null}
    ANTHROPIC_API_KEY=
    ```
  </Tab>
</Tabs>

See [Supported Models](/customize/supported-models) for more.

## 3. Run your first agent

<Tabs>
  <Tab title="Google">
    ```python agent.py theme={null}
    from browser_use import Agent, ChatGoogle
    from dotenv import load_dotenv
    import asyncio

    load_dotenv()

    async def main():
        llm = ChatGoogle(model="gemini-flash-latest")
        task = "Find the number 1 post on Show HN"
        agent = Agent(task=task, llm=llm)
        await agent.run()

    if __name__ == "__main__":
        asyncio.run(main())
    ```
  </Tab>

  <Tab title="OpenAI">
    ```python agent.py theme={null}
    from browser_use import Agent, ChatOpenAI
    from dotenv import load_dotenv
    import asyncio

    load_dotenv()

    async def main():
        llm = ChatOpenAI(model="gpt-4.1-mini")
        task = "Find the number 1 post on Show HN"
        agent = Agent(task=task, llm=llm)
        await agent.run()

    if __name__ == "__main__":
        asyncio.run(main())
    ```
  </Tab>

  <Tab title="Anthropic">
    ```python agent.py theme={null}
    from browser_use import Agent, ChatAnthropic
    from dotenv import load_dotenv
    import asyncio

    load_dotenv()

    async def main():
        llm = ChatAnthropic(model='claude-sonnet-4-0', temperature=0.0)
        task = "Find the number 1 post on Show HN"
        agent = Agent(task=task, llm=llm)
        await agent.run()

    if __name__ == "__main__":
        asyncio.run(main())
    ```
  </Tab>
</Tabs>


# Actor All Parameters
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/actor/all-parameters

Complete API reference for Browser Actor classes, methods, and parameters including BrowserSession, Page, Element, and Mouse


# Actor Basics
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/actor/basics
Low-level Playwright-like browser automation with direct and full CDP control and precise element interactions


# Actor Examples
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/actor/examples
Comprehensive examples for Browser Actor automation tasks including forms, JavaScript, mouse operations, and AI features


# Agent All Parameters
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/agent/all-parameters

Complete reference for all agent configuration options

## Available Parameters

### Core Settings

* `tools`: Registry of [our tools](https://github.com/browser-use/browser-use/blob/main/browser_use/tools/service.py) the agent can call. [Example for custom tools](https://github.com/browser-use/browser-use/tree/main/examples/custom-functions)
* `browser`: Browser object where you can specify the browser settings.
* `output_model_schema`: Pydantic model class for structured output validation. [Example](https://github.com/browser-use/browser-use/blob/main/examples/features/custom_output.py)

### Vision & Processing

* `use_vision` (default: `"auto"`): Vision mode - `"auto"` includes screenshot tool but only uses vision when requested, `True` always includes screenshots, `False` never includes screenshots and excludes screenshot tool
* `vision_detail_level` (default: `'auto'`): Screenshot detail level - `'low'`, `'high'`, or `'auto'`
* `page_extraction_llm`: Separate LLM model for page content extraction. You can choose a small & fast model because it only needs to extract text from the page (default: same as `llm`)

### Actions & Behavior

* `initial_actions`: List of actions to run before the main task without LLM. [Example](https://github.com/browser-use/browser-use/blob/main/examples/features/initial_actions.py)
* `max_actions_per_step` (default: `10`): Maximum actions per step, e.g. for form filling the agent can output 10 fields at once. We execute the actions until the page changes.
* `max_failures` (default: `3`): Maximum retries for steps with errors
* `final_response_after_failure` (default: `True`): If True, attempt to force one final model call with intermediate output after max\_failures is reached
* `use_thinking` (default: `True`): Controls whether the agent uses its internal "thinking" field for explicit reasoning steps.
* `flash_mode` (default: `False`): Fast mode that skips evaluation, next goal and thinking and only uses memory. If `flash_mode` is enabled, it overrides `use_thinking` and disables the thinking process entirely. [Example](https://github.com/browser-use/browser-use/blob/main/examples/getting_started/05_fast_agent.py)

### System Messages

* `override_system_message`: Completely replace the default system prompt.
* `extend_system_message`: Add additional instructions to the default system prompt. [Example](https://github.com/browser-use/browser-use/blob/main/examples/features/custom_system_prompt.py)

### File & Data Management

* `save_conversation_path`: Path to save complete conversation history
* `save_conversation_path_encoding` (default: `'utf-8'`): Encoding for saved conversations
* `available_file_paths`: List of file paths the agent can access
* `sensitive_data`: Dictionary of sensitive data to handle carefully. [Example](https://github.com/browser-use/browser-use/blob/main/examples/features/sensitive_data.py)

### Visual Output

* `generate_gif` (default: `False`): Generate GIF of agent actions. Set to `True` or string path
* `include_attributes`: List of HTML attributes to include in page analysis

### Performance & Limits

* `max_history_items`: Maximum number of last steps to keep in the LLM memory. If `None`, we keep all steps.
* `llm_timeout` (default: `90`): Timeout in seconds for LLM calls
* `step_timeout` (default: `120`): Timeout in seconds for each step
* `directly_open_url` (default: `True`): If we detect a url in the task, we directly open it.

### Advanced Options

* `calculate_cost` (default: `False`): Calculate and track API costs
* `display_files_in_done_text` (default: `True`): Show file information in completion messages

### Backwards Compatibility

* `controller`: Alias for `tools` for backwards compatibility.
* `browser_session`: Alias for `browser` for backwards compatibility.


# Agent Basics
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/agent/basics



```python  theme={null}
from browser_use import Agent, ChatOpenAI

agent = Agent(
    task="Search for latest news about AI",
    llm=ChatOpenAI(model="gpt-4.1-mini"),
)

async def main():
    history = await agent.run(max_steps=100)
```

* `task`: The task you want to automate.
* `llm`: Your favorite LLM. See <a href="/customize/supported-models">Supported Models</a>.

The agent is executed using the async `run()` method:

* `max_steps` (default: `100`): Maximum number of steps an agent can take.


# Agent Output Format
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/agent/output-format

## Agent History

The `run()` method returns an `AgentHistoryList` object with the complete execution history:

```python  theme={null}
history = await agent.run()

# Access useful information
history.urls()                    # List of visited URLs
history.screenshot_paths()        # List of screenshot paths  
history.screenshots()             # List of screenshots as base64 strings
history.action_names()            # Names of executed actions
history.extracted_content()       # List of extracted content from all actions
history.errors()                  # List of errors (with None for steps without errors)
history.model_actions()           # All actions with their parameters
history.model_outputs()           # All model outputs from history
history.last_action()             # Last action in history

# Analysis methods
history.final_result()            # Get the final extracted content (last step)
history.is_done()                 # Check if agent completed successfully
history.is_successful()           # Check if agent completed successfully (returns None if not done)
history.has_errors()              # Check if any errors occurred
history.model_thoughts()          # Get the agent's reasoning process (AgentBrain objects)
history.action_results()          # Get all ActionResult objects from history
history.action_history()          # Get truncated action history with essential fields
history.number_of_steps()         # Get the number of steps in the history
history.total_duration_seconds()  # Get total duration of all steps in seconds

# Structured output (when using output_model_schema)
history.structured_output         # Property that returns parsed structured output
```

See all helper methods in the [AgentHistoryList source code](https://github.com/browser-use/browser-use/blob/main/browser_use/agent/views.py#L301).

## Structured Output

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).


# Agent Prompting Guide
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/agent/prompting-guide

Tips and tricks 

Prompting can drastically improve performance and solve existing limitations of the library.

### 1. Be Specific vs Open-Ended

✅ Specific (Recommended)

```python  theme={null}
task = """
1. Go to https://quotes.toscrape.com/
2. Use extract action with the query "first 3 quotes with their authors"
3. Save results to quotes.csv using write_file action
4. Do a google search for the first quote and find when it was written
"""
```

❌ Open-Ended

```python  theme={null}
task = "Go to web and make money"
```

### 2. Name Actions Directly

When you know exactly what the agent should do, reference actions by name:

```python  theme={null}
task = """
1. Use search action to find "Python tutorials"
2. Use click to open first result in a new tab
3. Use scroll action to scroll down 2 pages
4. Use extract to extract the names of the first 5 items
5. Wait for 2 seconds if the page is not loaded, refresh it and wait 10 sec
6. Use send_keys action with "Tab Tab ArrowDown Enter"
"""
```

See [Available Tools](https://docs.browser-use.com/customize/tools/available) for the complete list of actions.

### 3. Handle interaction problems via keyboard navigation

Sometimes buttons can't be clicked (you found a bug in the library - open an issue).
Good news - often you can work around it with keyboard navigation!

```python  theme={null}
task = """
If the submit button cannot be clicked:
1. Use send_keys action with "Tab Tab Enter" to navigate and activate
2. Or use send_keys with "ArrowDown ArrowDown Enter" for form submission
"""
```

### 4. Custom Actions Integration

```python  theme={null}
# When you have custom actions
@controller.action("Get 2FA code from authenticator app")
async def get_2fa_code():
    # Your implementation
    pass

task = """
Login with 2FA:
1. Enter username/password
2. When prompted for 2FA, use get_2fa_code action
3. NEVER try to extract 2FA codes from the page manually
4. ALWAYS use the get_2fa_code action for authentication codes
"""
```

### 5. Error Recovery

```python  theme={null}
task = """
Robust data extraction:
1. Go to openai.com to find their CEO
2. If navigation fails due to anti-bot protection:
   - Use google search to find the CEO
3. If page times out, use go_back and try alternative approach
"""
```

The key to effective prompting is being specific about actions.


# Agent Supported Models
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/agent/supported-models
LLMs supported (changes frequently, check the documentation when needed)


# Browser All Parameters
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/browser/all-parameters

Complete reference for all browser configuration options

<Note>
  The `Browser` instance also provides all [Actor](/customize/actor/all-parameters) methods for direct browser control (page management, element interactions, etc.).
</Note>

## Core Settings

* `cdp_url`: CDP URL for connecting to existing browser instance (e.g., `"http://localhost:9222"`)

## Display & Appearance

* `headless` (default: `None`): Run browser without UI. Auto-detects based on display availability (`True`/`False`/`None`)
* `window_size`: Browser window size for headful mode. Use dict `{'width': 1920, 'height': 1080}` or `ViewportSize` object
* `window_position` (default: `{'width': 0, 'height': 0}`): Window position from top-left corner in pixels
* `viewport`: Content area size, same format as `window_size`. Use `{'width': 1280, 'height': 720}` or `ViewportSize` object
* `no_viewport` (default: `None`): Disable viewport emulation, content fits to window size
* `device_scale_factor`: Device scale factor (DPI). Set to `2.0` or `3.0` for high-resolution screenshots

## Browser Behavior

* `keep_alive` (default: `None`): Keep browser running after agent completes
* `allowed_domains`: Restrict navigation to specific domains. Domain pattern formats:
  * `'example.com'` - Matches only `https://example.com/*`
  * `'*.example.com'` - Matches `https://example.com/*` and any subdomain `https://*.example.com/*`
  * `'http*://example.com'` - Matches both `http://` and `https://` protocols
  * `'chrome-extension://*'` - Matches any Chrome extension URL
  * Security: Wildcards in TLD (e.g., `example.*`) are not allowed for security
  * Use list like `['*.google.com', 'https://example.com', 'chrome-extension://*']`
  * Performance: Lists with 100+ domains are automatically optimized to sets for O(1) lookup. Pattern matching is disabled for optimized lists. Both `www.example.com` and `example.com` variants are checked automatically.
* `prohibited_domains`: Block navigation to specific domains. Uses same pattern formats as `allowed_domains`. When both `allowed_domains` and `prohibited_domains` are set, `allowed_domains` takes precedence. Examples:
  * `['nsfw.com', '*.gambling-site.net']` - Block specific sites and all subdomains
  * `['https://explicit-content.org']` - Block specific protocol/domain combination
  * Performance: Lists with 100+ domains are automatically optimized to sets for O(1) lookup (same as `allowed_domains`)
* `enable_default_extensions` (default: `True`): Load automation extensions (uBlock Origin, cookie handlers, ClearURLs)
* `cross_origin_iframes` (default: `False`): Enable cross-origin iframe support (may cause complexity)
* `is_local` (default: `True`): Whether this is a local browser instance. Set to `False` for remote browsers. If we have a `executable_path` set, it will be automatically set to `True`. This can effect your download behavior.

## User Data & Profiles

* `user_data_dir` (default: auto-generated temp): Directory for browser profile data. Use `None` for incognito mode
* `profile_directory` (default: `'Default'`): Chrome profile subdirectory name (`'Profile 1'`, `'Work Profile'`, etc.)
* `storage_state`: Browser storage state (cookies, localStorage). Can be file path string or dict object

## Network & Security

* `proxy`: Proxy configuration using `ProxySettings(server='http://host:8080', bypass='localhost,127.0.0.1', username='user', password='pass')`
* `permissions` (default: `['clipboardReadWrite', 'notifications']`): Browser permissions to grant. Use list like `['camera', 'microphone', 'geolocation']`
* `headers`: Additional HTTP headers for connect requests (remote browsers only)

## Browser Launch

* `executable_path`: Path to browser executable for custom installations. Platform examples:
  * macOS: `'/Applications/Google Chrome.app/Contents/MacOS/Google Chrome'`
  * Windows: `'C:\\Program Files\\Google\\Chrome\\Application\\chrome.exe'`
  * Linux: `'/usr/bin/google-chrome'`
* `channel`: Browser channel (`'chromium'`, `'chrome'`, `'chrome-beta'`, `'msedge'`, etc.)
* `args`: Additional command-line arguments for the browser. Use list format: `['--disable-gpu', '--custom-flag=value', '--another-flag']`
* `env`: Environment variables for browser process. Use dict like `{'DISPLAY': ':0', 'LANG': 'en_US.UTF-8', 'CUSTOM_VAR': 'test'}`
* `chromium_sandbox` (default: `True` except in Docker): Enable Chromium sandboxing for security
* `devtools` (default: `False`): Open DevTools panel automatically (requires `headless=False`)
* `ignore_default_args`: List of default args to disable, or `True` to disable all. Use list like `['--enable-automation', '--disable-extensions']`

## Timing & Performance

* `minimum_wait_page_load_time` (default: `0.25`): Minimum time to wait before capturing page state in seconds
* `wait_for_network_idle_page_load_time` (default: `0.5`): Time to wait for network activity to cease in seconds
* `wait_between_actions` (default: `0.5`): Time to wait between agent actions in seconds

## AI Integration

* `highlight_elements` (default: `True`): Highlight interactive elements for AI vision
* `paint_order_filtering` (default: `True`): Enable paint order filtering to optimize DOM tree by removing elements hidden behind others. Slightly experimental

## Downloads & Files

* `accept_downloads` (default: `True`): Automatically accept all downloads
* `downloads_path`: Directory for downloaded files. Use string like `'./downloads'` or `Path` object
* `auto_download_pdfs` (default: `True`): Automatically download PDFs instead of viewing in browser

## Device Emulation

* `user_agent`: Custom user agent string. Example: `'Mozilla/5.0 (iPhone; CPU iPhone OS 14_0 like Mac OS X)'`
* `screen`: Screen size information, same format as `window_size`

## Recording & Debugging

* `record_video_dir`: Directory to save video recordings as `.mp4` files
* `record_video_size` (default: `ViewportSize`): The frame size (width, height) of the video recording.
* `record_video_framerate` (default: `30`): The framerate to use for the video recording.
* `record_har_path`: Path to save network trace files as `.har` format
* `traces_dir`: Directory to save complete trace files for debugging
* `record_har_content` (default: `'embed'`): HAR content mode (`'omit'`, `'embed'`, `'attach'`)
* `record_har_mode` (default: `'full'`): HAR recording mode (`'full'`, `'minimal'`)

## Advanced Options

* `disable_security` (default: `False`): ⚠️ NOT RECOMMENDED - Disables all browser security features
* `deterministic_rendering` (default: `False`): ⚠️ NOT RECOMMENDED - Forces consistent rendering but reduces performance

*

## Browser vs BrowserSession

`Browser` is an alias for `BrowserSession` - they are exactly the same class:
Use `Browser` for cleaner, more intuitive code.


# Browser Basics
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/browser/basics

*

```python  theme={null}
from browser_use import Agent, Browser, ChatOpenAI

browser = Browser(
	headless=False,  # Show browser window
	window_size={'width': 1000, 'height': 700},  # Set window size
)

agent = Agent(
	task='Search for Browser Use',
	browser=browser,
	llm=ChatOpenAI(model='gpt-4.1-mini'),
)


async def main():
	await agent.run()
```


# Browser: Real Browser
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/browser/real-browser
Connect your existing Chrome browser to preserve authentication.

# Browser: Remote Browser
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/browser/remote
The easiest way to use a cloud browser is with the built-in Browser-Use cloud service:


# Lifecycle Hooks
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/hooks
Customize agent behavior with lifecycle hooks


# MCP Server
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/mcp-server
Expose browser-use capabilities via Model Context Protocol for AI assistants like Claude Desktop


# Tools: Add Tools
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/tools/add

Examples:
* deterministic clicks
* file handling
* calling APIs
* human-in-the-loop
* browser interactions
* calling LLMs
* get 2fa codes
* send emails
* Playwright integration (see [GitHub example](https://github.com/browser-use/browser-use/blob/main/examples/browser/playwright_integration.py))
* ...

Simply add `@tools.action(...)` to your function.

```python  theme={null}
from browser_use import Tools, Agent, ActionResult

tools = Tools()

@tools.action(description='Ask human for help with a question')
def ask_human(question: str) -> ActionResult:
    answer = input(f'{question} > ')
    return f'The human responded with: {answer}'
```

```python  theme={null}
agent = Agent(task='...', llm=llm, tools=tools)
```

* `description` *(required)* - What the tool does, the LLM uses this to decide when to call it.
* `allowed_domains` - List of domains where tool can run (e.g. `['*.example.com']`), defaults to all domains

The Agent fills your function parameters based on their names, type hints, & defaults.


# Tools: Available Tools
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/tools/available
Here is the [source code](https://github.com/browser-use/browser-use/blob/main/browser_use/tools/service.py) for the default tools:

### Navigation & Browser Control

* `search` - Search queries (DuckDuckGo, Google, Bing)
* `navigate` - Navigate to URLs
* `go_back` - Go back in browser history
* `wait` - Wait for specified seconds

### Page Interaction

* `click` - Click elements by their index
* `input` - Input text into form fields
* `upload_file` - Upload files to file inputs
* `scroll` - Scroll the page up/down
* `find_text` - Scroll to specific text on page
* `send_keys` - Send special keys (Enter, Escape, etc.)

### JavaScript Execution

* `evaluate` - Execute custom JavaScript code on the page (for advanced interactions, shadow DOM, custom selectors, data extraction)

### Tab Management

* `switch` - Switch between browser tabs
* `close` - Close browser tabs

### Content Extraction

* `extract` - Extract data from webpages using LLM

### Visual Analysis

* `screenshot` - Request a screenshot in your next browser state for visual confirmation

### Form Controls

* `dropdown_options` - Get dropdown option values
* `select_dropdown` - Select dropdown options

### File Operations

* `write_file` - Write content to files
* `read_file` - Read file contents
* `replace_file` - Replace text in files

### Task Completion

* `done` - Complete the task (always available)



# Tools: Basics
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/tools/basics
Tools are the functions that the agent has to interact with the world.

## Quick Example

```python  theme={null}
from browser_use import Tools, ActionResult, Browser

tools = Tools()

@tools.action('Ask human for help with a question')
def ask_human(question: str, browser: Browser) -> ActionResult:
    answer = input(f'{question} > ')
    return f'The human responded with: {answer}'

agent = Agent(
    task='Ask human for help',
    llm=llm,
    tools=tools,
)
```

<Note>
  Use `browser` parameter in tools for deterministic [Actor](/customize/actor/basics) actions.
</Note>


# Tools: Remove Tools
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/tools/remove

You can exclude default tools:

```python  theme={null}
from browser_use import Tools

tools = Tools(exclude_actions=['search', 'wait'])
agent = Agent(task='...', llm=llm, tools=tools)
```


# Tools: Tool Response
Source: (go to or request this content to learn more) https://docs.browser-use.com/customize/tools/response
Tools return results using `ActionResult` or simple strings.

## Return Types

```python  theme={null}
@tools.action('My tool')
def my_tool() -> str:
    return "Task completed successfully"

@tools.action('Advanced tool')
def advanced_tool() -> ActionResult:
    return ActionResult(
        extracted_content="Main result",
        long_term_memory="Remember this info",
        error="Something went wrong",
        is_done=True,
        success=True,
        attachments=["file.pdf"],
    )
```

# Get Help
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/get-help

More than 20k developers help each other

1. Check our [GitHub Issues](https://github.com/browser-use/browser-use/issues)
2. Ask in our [Discord community](https://link.browser-use.com/discord)
3. Get support for your enterprise with [support@browser-use.com](mailto:support@browser-use.com)


# Costs
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/monitoring/costs
Track token usage and API costs for your browser automation tasks

## Cost Tracking

To track token usage and costs, enable cost calculation:

```python  theme={null}
from browser_use import Agent, ChatOpenAI

agent = Agent(
    task="Search for latest news about AI",
    llm=ChatOpenAI(model="gpt-4.1-mini"),
    calculate_cost=True  # Enable cost tracking
)

history = await agent.run()

# Get usage from history
print(f"Token usage: {history.usage}")

# Or get from usage summary
usage_summary = await agent.token_cost_service.get_usage_summary()
print(f"Usage summary: {usage_summary}")
```


# Observability
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/monitoring/observability
Trace Browser Use's agent execution steps and browser sessions
Browser Use has a native integration with [Laminar](https://lmnr.ai) - open-source platform for tracing, evals and labeling of AI agents.
Read more about Laminar in the [Laminar docs](https://docs.lmnr.ai).


# Telemetry
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/monitoring/telemetry

Understanding Browser Use's telemetry

## Overview

Browser Use is free under the MIT license. To help us continue improving the library, we collect anonymous usage data with [PostHog](https://posthog.com) . This information helps us understand how the library is used, fix bugs more quickly, and prioritize new features.

## Opting Out

You can disable telemetry by setting the environment variable:

```bash .env theme={null}
ANONYMIZED_TELEMETRY=false
```

Or in your Python code:

```python  theme={null}
import os
os.environ["ANONYMIZED_TELEMETRY"] = "false"
```

<Note>
  Even when enabled, telemetry has zero impact on the library's performance. Code is available in [Telemetry
  Service](https://github.com/browser-use/browser-use/tree/main/browser_use/telemetry).
</Note>


# Contribution Guide
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/setup/contribution-guide

## Mission

* Make developers happy
* Do more clicks than human
* Tell your computer what to do, and it gets it done.
* Make agents faster and more reliable.

## What to work on?

* This space is moving fast. We have 10 ideas daily. Let's exchange some.
* Browse our [GitHub Issues](https://github.com/browser-use/browser-use/issues)
* Check out our most active issues on [Discord](https://discord.gg/zXJJHtJf3k)
* Get inspiration in [`#showcase-your-work`](https://discord.com/channels/1303749220842340412/1305549200678850642) channel

## What makes a great PR?

1. Why do we need this PR?
2. Include a demo screenshot/gif
3. Make sure the PR passes all CI tests
4. Keep your PR focused on a single feature

## How?

1. Fork the repository
2. Create a new branch for your feature
3. Submit a PR

We are overwhelmed with Issues. Feel free to bump your issues/PRs with comments periodically if you need faster feedback.


# Local Setup
Source: (go to or request this content to learn more) https://docs.browser-use.com/development/setup/local-setup

We're excited to have you join our community of contributors. 
## Welcome to Browser Use Development!

```bash  theme={null}
git clone https://github.com/browser-use/browser-use
cd browser-use
uv sync --all-extras --dev
# or pip install -U git+https://github.com/browser-use/browser-use.git@main
```

## Configuration
Set up your environment variables:

```bash  theme={null}
# Copy the example environment file
cp .env.example .env

# set logging level
# BROWSER_USE_LOGGING_LEVEL=debug
```

## Helper Scripts

For common development tasks

```bash  theme={null}
# Complete setup script - installs uv, creates a venv, and installs dependencies
./bin/setup.sh

# Run all pre-commit hooks (formatting, linting, type checking)
./bin/lint.sh

# Run the core test suite that's executed in CI
./bin/test.sh
```

## Run examples

```bash  theme={null}
uv run examples/simple.py
```



# Example Code: News-Use (News Monitor)
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/apps/news-use
Monitor news websites and extract articles with sentiment analysis using browser agents and Google Gemini.


# Example Code:Vibetest-Use (Automated QA)
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/apps/vibetest-use
Run multi-agent Browser-Use tests to catch UI bugs, broken links, and accessibility issues before they ship.


# Fast Agent
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/fast-agent
Optimize agent performance for maximum speed and efficiency.


# Follow up tasks
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/follow-up-tasks
Follow up tasks with the same browser session.


# Parallel Agents
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/parallel-browser
Run multiple agents in parallel with separate browser instances


# Playwright Integration
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/playwright-integration
Advanced example showing Playwright and Browser-Use working together


# Guide: Secure Setup
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/secure


# Guide: Sensitive Data
Source: (go to or request this content to learn more) https://docs.browser-use.com/examples/templates/sensitive-data
Handle secret information securely and avoid sending PII & passwords to the LLM.
</browser_use_docs>