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Available Parameters

Core Settings

  • tools: Registry of tools the agent can call. Example
  • skills (or skill_ids): List of skill IDs to load (e.g., ['skill-uuid'] or ['*'] for all). Requires BROWSER_USE_API_KEY. Docs
  • browser: Browser object where you can specify the browser settings.
  • output_model_schema: Pydantic model class for structured output validation. Example

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)

Fallback & Resilience

  • fallback_llm: Backup LLM to use when the primary LLM fails. The primary LLM will first exhaust its own retry logic (typically 5 attempts with exponential backoff), and only then switch to the fallback. Triggers on rate limits (429), authentication errors (401), payment/credit errors (402), or server errors (500, 502, 503, 504). Once switched, the fallback is used for the rest of the run. Example

Actions & Behavior

  • initial_actions: List of actions to run before the main task without LLM. Example
  • max_actions_per_step (default: 4): Maximum actions per step, e.g. for form filling the agent can output 4 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

System Messages

  • override_system_message: Completely replace the default system prompt.
  • extend_system_message: Add additional instructions to the default system prompt. Example

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

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.

Environment Variables

These environment variables can be used to tune agent and browser behavior without code changes. They are particularly useful for debugging, slow networks, or deployment-level tuning.

Agent Timeouts

Browser Action Timeouts

Browser Lifecycle Timeouts

Tab Management Timeouts

Storage & Download Timeouts

Example Usage