rem legacy browser tool, switch browser tool to correct one

This commit is contained in:
marko-kraemer 2025-10-08 23:55:24 +02:00
parent 8d11bc4bb1
commit 4dfb171ef8
6 changed files with 44 additions and 982 deletions

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@ -148,18 +148,35 @@ You have the abilixwty to execute operations using both Python and CLI tools:
- Finding recent news, articles, and information beyond training data
- Scraping webpage content for detailed information extraction when needed
### 2.3.5 BROWSER TOOLS AND CAPABILITIES
- BROWSER OPERATIONS:
* Navigate to URLs and manage history
* Fill forms and submit data
* Click elements and interact with pages
* Extract text and HTML content
* Wait for elements to load
* Scroll pages and handle infinite scroll
* YOU CAN DO ANYTHING ON THE BROWSER - including clicking on elements, filling forms, submitting data, etc.
* The browser is in a sandboxed environment, so nothing to worry about.
### 2.3.5 BROWSER AUTOMATION CAPABILITIES
- **CORE BROWSER FUNCTIONS:**
* `browser_navigate_to(url)` - Navigate to any URL
* `browser_act(action, variables, iframes, filePath)` - Perform ANY browser action using natural language
- Examples: "click the login button", "fill in email with user@example.com", "scroll down", "select option from dropdown"
- Supports variables for secure data entry (not shared with LLM providers)
- Handles iframes when needed
- CRITICAL: Include filePath parameter for ANY action involving file uploads to prevent accidental file dialog triggers
* `browser_extract_content(instruction, iframes)` - Extract structured content from pages
- Example: "extract all product prices", "get apartment listings with address and price"
* `browser_screenshot(name)` - Take screenshots of the current page
- CRITICAL BROWSER VALIDATION WORKFLOW:
- **WHAT YOU CAN DO:**
* Navigate to any URL and browse websites
* Click buttons, links, and any interactive elements
* Fill out forms with text, numbers, emails, etc.
* Select options from dropdowns and menus
* Scroll pages (up, down, to specific elements)
* Handle dynamic content and JavaScript-heavy sites
* Extract structured data from pages
* Take screenshots at any point
* Press keyboard keys (Enter, Escape, Tab, etc.)
* Handle iframes and embedded content
* Upload files (use filePath parameter in browser_act)
* Navigate browser history (go back, forward)
* Wait for content to load
* The browser is in a sandboxed environment, so nothing to worry about
- **CRITICAL BROWSER VALIDATION WORKFLOW:**
* Every browser action automatically provides a screenshot - ALWAYS review it carefully
* When entering values (phone numbers, emails, text), explicitly verify the screenshot shows the exact values you intended
* Only report success when visual confirmation shows the exact intended values are present
@ -699,7 +716,12 @@ IMPORTANT: Use the `cat` command to view contents of small files (100 kb or less
- Only if you need specific details not found in search results:
* Use scrape-webpage on specific URLs from web-search results
- Only if scrape-webpage fails or if the page requires interaction:
* Use direct browser tools (browser_navigate_to, browser_go_back, browser_wait, browser_click_element, browser_input_text, browser_send_keys, browser_switch_tab, browser_close_tab, browser_scroll_down, browser_scroll_up, browser_scroll_to_text, browser_get_dropdown_options, browser_select_dropdown_option, browser_drag_drop, browser_click_coordinates etc.)
* Use browser automation tools:
- `browser_navigate_to(url)` - Navigate to the page
- `browser_act(action)` - Perform any action using natural language
Examples: "click the login button", "fill in email", "scroll down", "select option from dropdown", "press Enter", "go back"
- `browser_extract_content(instruction)` - Extract structured content
- `browser_screenshot(name)` - Take screenshots
* This is needed for:
- Dynamic content loading
- JavaScript-heavy sites
@ -731,22 +753,21 @@ IMPORTANT: Use the `cat` command to view contents of small files (100 kb or less
- Only basic facts or information are needed
- Only a high-level overview is needed
4. Only use browser tools if scrape-webpage fails or interaction is required
- Use direct browser tools (browser_navigate_to, browser_go_back, browser_wait, browser_click_element, browser_input_text,
browser_send_keys, browser_switch_tab, browser_close_tab, browser_scroll_down, browser_scroll_up, browser_scroll_to_text,
browser_get_dropdown_options, browser_select_dropdown_option, browser_drag_drop, browser_click_coordinates etc.)
- Use browser automation tools:
* `browser_navigate_to(url)` - Navigate to pages
* `browser_act(action, variables, iframes, filePath)` - Perform any action with natural language
Examples: "click login", "fill form field with email@example.com", "scroll to bottom", "select dropdown option", "press Enter", "go back", "wait 3 seconds"
* `browser_extract_content(instruction, iframes)` - Extract structured content
* `browser_screenshot(name)` - Capture screenshots
- This is needed for:
* Dynamic content loading
* JavaScript-heavy sites
* Pages requiring login
* Interactive elements
* Infinite scroll pages
* Form submissions and data entry
DO NOT use browser tools directly unless interaction is required.
5. Maintain this strict workflow order: web-search scrape-webpage (if necessary) browser tools (if needed)
6. If browser tools fail or encounter CAPTCHA/verification:
- Use web-browser-takeover to request user assistance
- Clearly explain what needs to be done (e.g., solve CAPTCHA)
- Wait for user confirmation before continuing
- Resume automated process after user completes the task
- Web Content Extraction:
1. Verify URL validity before scraping

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@ -654,7 +654,7 @@ class AgentRunner:
'sb_shell_tool', 'sb_files_tool', 'sb_deploy_tool', 'sb_expose_tool',
'web_search_tool', 'image_search_tool', 'sb_vision_tool', 'sb_presentation_tool', 'sb_image_edit_tool',
'sb_sheets_tool', 'sb_kb_tool', 'sb_design_tool', 'sb_presentation_outline_tool', 'sb_upload_file_tool',
'sb_docs_tool', 'sb_browser_tool', 'sb_templates_tool', 'computer_use_tool', 'sb_web_dev_tool',
'sb_docs_tool', 'sb_templates_tool', 'computer_use_tool', 'sb_web_dev_tool',
'data_providers_tool', 'browser_tool', 'people_search_tool', 'company_search_tool',
'agent_config_tool', 'mcp_search_tool', 'credential_profile_tool', 'trigger_tool',
'agent_creation_tool'
@ -809,8 +809,6 @@ class AgentRunner:
last_tool_call = 'ask'
elif '</complete>' in assistant_text:
last_tool_call = 'complete'
elif '</web-browser-takeover>' in assistant_text:
last_tool_call = 'web-browser-takeover'
except (json.JSONDecodeError, Exception):
pass
@ -834,7 +832,7 @@ class AgentRunner:
generation.end(status_message="error_detected", level="ERROR")
break
if agent_should_terminate or last_tool_call in ['ask', 'complete', 'web-browser-takeover', 'present_presentation']:
if agent_should_terminate or last_tool_call in ['ask', 'complete', 'present_presentation']:
if generation:
generation.end(status_message="agent_stopped")
continue_execution = False

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@ -37,9 +37,8 @@ SUNA_CONFIG = {
"people_search_tool": True,
"company_search_tool": True,
# Browser automation (both variants)
# Browser automation
"browser_tool": True,
"sb_browser_tool": True,
# Web development tools
"sb_web_dev_tool": False,

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@ -4,9 +4,6 @@ from core.utils.logger import logger
class MessageTool(Tool):
"""Tool for user communication and interaction.
This tool provides methods for asking questions, with support for
attachments and user takeover suggestions.
"""
def __init__(self):

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@ -1,848 +0,0 @@
import traceback
import json
import base64
import io
from PIL import Image
from core.agentpress.tool import ToolResult, openapi_schema
from core.agentpress.thread_manager import ThreadManager
from core.sandbox.tool_base import SandboxToolsBase
from core.utils.logger import logger
from core.utils.s3_upload_utils import upload_base64_image
class SandboxBrowserTool(SandboxToolsBase):
"""Tool for executing tasks in a Daytona sandbox with browser-use capabilities."""
def __init__(self, project_id: str, thread_id: str, thread_manager: ThreadManager):
super().__init__(project_id, thread_manager)
self.thread_id = thread_id
def _validate_base64_image(self, base64_string: str, max_size_mb: int = 10) -> tuple[bool, str]:
"""
Comprehensive validation of base64 image data.
Args:
base64_string (str): The base64 encoded image data
max_size_mb (int): Maximum allowed image size in megabytes
Returns:
tuple[bool, str]: (is_valid, error_message)
"""
try:
# Check if data exists and has reasonable length
if not base64_string or len(base64_string) < 10:
return False, "Base64 string is empty or too short"
# Remove data URL prefix if present (data:image/jpeg;base64,...)
if base64_string.startswith('data:'):
try:
base64_string = base64_string.split(',', 1)[1]
except (IndexError, ValueError):
return False, "Invalid data URL format"
# Check if string contains only valid base64 characters
# Base64 alphabet: A-Z, a-z, 0-9, +, /, = (padding)
import re
if not re.match(r'^[A-Za-z0-9+/]*={0,2}$', base64_string):
return False, "Invalid base64 characters detected"
# Check if base64 string length is valid (must be multiple of 4)
if len(base64_string) % 4 != 0:
return False, "Invalid base64 string length"
# Attempt to decode base64
try:
image_data = base64.b64decode(base64_string, validate=True)
except Exception as e:
return False, f"Base64 decoding failed: {str(e)}"
# Check decoded data size
if len(image_data) == 0:
return False, "Decoded image data is empty"
# Check if decoded data size exceeds limit
max_size_bytes = max_size_mb * 1024 * 1024
if len(image_data) > max_size_bytes:
return False, f"Image size ({len(image_data)} bytes) exceeds limit ({max_size_bytes} bytes)"
# Validate that decoded data is actually a valid image using PIL
try:
image_stream = io.BytesIO(image_data)
with Image.open(image_stream) as img:
# Verify the image by attempting to load it
img.verify()
# Check if image format is supported
supported_formats = {'JPEG', 'PNG', 'GIF', 'BMP', 'WEBP', 'TIFF'}
if img.format not in supported_formats:
return False, f"Unsupported image format: {img.format}"
# Re-open for dimension checks (verify() closes the image)
image_stream.seek(0)
with Image.open(image_stream) as img_check:
width, height = img_check.size
# Check reasonable dimension limits
max_dimension = 8192 # 8K resolution limit
if width > max_dimension or height > max_dimension:
return False, f"Image dimensions ({width}x{height}) exceed limit ({max_dimension}x{max_dimension})"
# Check minimum dimensions
if width < 1 or height < 1:
return False, f"Invalid image dimensions: {width}x{height}"
logger.debug(f"Valid image detected: {img.format}, {width}x{height}, {len(image_data)} bytes")
except Exception as e:
return False, f"Invalid image data: {str(e)}"
return True, "Valid image"
except Exception as e:
logger.error(f"Unexpected error during base64 image validation: {e}")
return False, f"Validation error: {str(e)}"
async def _execute_browser_action(self, endpoint: str, params: dict = None, method: str = "POST") -> ToolResult:
"""Execute a browser automation action through the API
Args:
endpoint (str): The API endpoint to call
params (dict, optional): Parameters to send. Defaults to None.
method (str, optional): HTTP method to use. Defaults to "POST".
Returns:
ToolResult: Result of the execution
"""
try:
# Ensure sandbox is initialized
await self._ensure_sandbox()
# Build the curl command
url = f"http://localhost:8003/api/automation/{endpoint}"
if method == "GET" and params:
query_params = "&".join([f"{k}={v}" for k, v in params.items()])
url = f"{url}?{query_params}"
curl_cmd = f"curl -s -X {method} '{url}' -H 'Content-Type: application/json'"
else:
curl_cmd = f"curl -s -X {method} '{url}' -H 'Content-Type: application/json'"
if params:
json_data = json.dumps(params)
curl_cmd += f" -d '{json_data}'"
logger.debug("\033[95mExecuting curl command:\033[0m")
logger.debug(f"{curl_cmd}")
response = await self.sandbox.process.exec(curl_cmd, timeout=30)
if response.exit_code == 0:
try:
result = json.loads(response.result)
if not "content" in result:
result["content"] = ""
if not "role" in result:
result["role"] = "assistant"
logger.debug("Browser automation request completed successfully")
if "screenshot_base64" in result:
try:
# Comprehensive validation of the base64 image data
screenshot_data = result["screenshot_base64"]
is_valid, validation_message = self._validate_base64_image(screenshot_data)
if is_valid:
logger.debug(f"Screenshot validation passed: {validation_message}")
image_url = await upload_base64_image(screenshot_data, "browser-screenshots")
result["image_url"] = image_url
logger.debug(f"Uploaded screenshot to {image_url}")
else:
logger.warning(f"Screenshot validation failed: {validation_message}")
result["image_validation_error"] = validation_message
# Remove base64 data from result to keep it clean
del result["screenshot_base64"]
except Exception as e:
logger.error(f"Failed to process screenshot: {e}")
result["image_upload_error"] = str(e)
added_message = await self.thread_manager.add_message(
thread_id=self.thread_id,
type="browser_state",
content=result,
is_llm_message=False
)
success_response = {}
if result.get("success"):
success_response["success"] = result["success"]
success_response["message"] = result.get("message", "Browser action completed successfully")
else:
success_response["success"] = False
success_response["message"] = result.get("message", "Browser action failed")
if added_message and 'message_id' in added_message:
success_response['message_id'] = added_message['message_id']
if result.get("url"):
success_response["url"] = result["url"]
if result.get("title"):
success_response["title"] = result["title"]
if result.get("element_count"):
success_response["elements_found"] = result["element_count"]
if result.get("pixels_below"):
success_response["scrollable_content"] = result["pixels_below"] > 0
if result.get("ocr_text"):
success_response["ocr_text"] = result["ocr_text"]
if result.get("image_url"):
success_response["image_url"] = result["image_url"]
if success_response.get("success"):
return self.success_response(success_response)
else:
return self.fail_response(success_response)
except json.JSONDecodeError as e:
logger.error(f"Failed to parse response JSON: {response.result} {e}")
return self.fail_response(f"Failed to parse response JSON: {response.result} {e}")
else:
logger.error(f"Browser automation request failed 2: {response}")
return self.fail_response(f"Browser automation request failed 2: {response}")
except Exception as e:
logger.error(f"Error executing browser action: {e}")
logger.debug(traceback.format_exc())
return self.fail_response(f"Error executing browser action: {e}")
@openapi_schema({
"type": "function",
"function": {
"name": "browser_navigate_to",
"description": "Navigate to a specific url",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The url to navigate to"
}
},
"required": ["url"]
}
}
})
async def browser_navigate_to(self, url: str) -> ToolResult:
"""Navigate to a specific url
Args:
url (str): The url to navigate to
Returns:
dict: Result of the execution
"""
return await self._execute_browser_action("navigate_to", {"url": url})
# @openapi_schema({
# "type": "function",
# "function": {
# "name": "browser_search_google",
# "description": "Search Google with the provided query",
# "parameters": {
# "type": "object",
# "properties": {
# "query": {
# "type": "string",
# "description": "The search query to use"
# }
# },
# "required": ["query"]
# }
# }
# })
# @xml_schema(
# tag_name="browser-search-google",
# mappings=[
# {"param_name": "query", "node_type": "content", "path": "."}
# ],
# example='''
# <browser-search-google>
# artificial intelligence news
# </browser-search-google>
# '''
# )
# async def browser_search_google(self, query: str) -> ToolResult:
# """Search Google with the provided query
# Args:
# query (str): The search query to use
# Returns:
# dict: Result of the execution
# """
# logger.debug(f"\033[95mSearching Google for: {query}\033[0m")
# return await self._execute_browser_action("search_google", {"query": query})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_go_back",
"description": "Navigate back in browser history",
"parameters": {
"type": "object",
"properties": {}
}
}
})
async def browser_go_back(self) -> ToolResult:
"""Navigate back in browser history
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mNavigating back in browser history\033[0m")
return await self._execute_browser_action("go_back", {})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_wait",
"description": "Wait for the specified number of seconds",
"parameters": {
"type": "object",
"properties": {
"seconds": {
"type": "integer",
"description": "Number of seconds to wait (default: 3)"
}
}
}
}
})
async def browser_wait(self, seconds: int = 3) -> ToolResult:
"""Wait for the specified number of seconds
Args:
seconds (int, optional): Number of seconds to wait. Defaults to 3.
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mWaiting for {seconds} seconds\033[0m")
return await self._execute_browser_action("wait", {"seconds": seconds})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_click_element",
"description": "Click on an element by index",
"parameters": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "The index of the element to click"
}
},
"required": ["index"]
}
}
})
async def browser_click_element(self, index: int) -> ToolResult:
"""Click on an element by index
Args:
index (int): The index of the element to click
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mClicking element with index: {index}\033[0m")
return await self._execute_browser_action("click_element", {"index": index})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_input_text",
"description": "Input text into an element",
"parameters": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "The index of the element to input text into"
},
"text": {
"type": "string",
"description": "The text to input"
}
},
"required": ["index", "text"]
}
}
})
async def browser_input_text(self, index: int, text: str) -> ToolResult:
"""Input text into an element
Args:
index (int): The index of the element to input text into
text (str): The text to input
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mInputting text into element {index}: {text}\033[0m")
return await self._execute_browser_action("input_text", {"index": index, "text": text})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_send_keys",
"description": "Send keyboard keys such as Enter, Escape, or keyboard shortcuts",
"parameters": {
"type": "object",
"properties": {
"keys": {
"type": "string",
"description": "The keys to send (e.g., 'Enter', 'Escape', 'Control+a')"
}
},
"required": ["keys"]
}
}
})
async def browser_send_keys(self, keys: str) -> ToolResult:
"""Send keyboard keys
Args:
keys (str): The keys to send (e.g., 'Enter', 'Escape', 'Control+a')
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mSending keys: {keys}\033[0m")
return await self._execute_browser_action("send_keys", {"keys": keys})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_switch_tab",
"description": "Switch to a different browser tab",
"parameters": {
"type": "object",
"properties": {
"page_id": {
"type": "integer",
"description": "The ID of the tab to switch to"
}
},
"required": ["page_id"]
}
}
})
async def browser_switch_tab(self, page_id: int) -> ToolResult:
"""Switch to a different browser tab
Args:
page_id (int): The ID of the tab to switch to
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mSwitching to tab: {page_id}\033[0m")
return await self._execute_browser_action("switch_tab", {"page_id": page_id})
# @openapi_schema({
# "type": "function",
# "function": {
# "name": "browser_open_tab",
# "description": "Open a new browser tab with the specified URL",
# "parameters": {
# "type": "object",
# "properties": {
# "url": {
# "type": "string",
# "description": "The URL to open in the new tab"
# }
# },
# "required": ["url"]
# }
# }
# })
# @xml_schema(
# tag_name="browser-open-tab",
# mappings=[
# {"param_name": "url", "node_type": "content", "path": "."}
# ],
# example='''
# <browser-open-tab>
# https://example.com
# </browser-open-tab>
# '''
# )
# async def browser_open_tab(self, url: str) -> ToolResult:
# """Open a new browser tab with the specified URL
# Args:
# url (str): The URL to open in the new tab
# Returns:
# dict: Result of the execution
# """
# logger.debug(f"\033[95mOpening new tab with URL: {url}\033[0m")
# return await self._execute_browser_action("open_tab", {"url": url})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_close_tab",
"description": "Close a browser tab",
"parameters": {
"type": "object",
"properties": {
"page_id": {
"type": "integer",
"description": "The ID of the tab to close"
}
},
"required": ["page_id"]
}
}
})
async def browser_close_tab(self, page_id: int) -> ToolResult:
"""Close a browser tab
Args:
page_id (int): The ID of the tab to close
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mClosing tab: {page_id}\033[0m")
return await self._execute_browser_action("close_tab", {"page_id": page_id})
# @openapi_schema({
# "type": "function",
# "function": {
# "name": "browser_extract_content",
# "description": "Extract content from the current page based on the provided goal",
# "parameters": {
# "type": "object",
# "properties": {
# "goal": {
# "type": "string",
# "description": "The extraction goal (e.g., 'extract all links', 'find product information')"
# }
# },
# "required": ["goal"]
# }
# }
# })
# @xml_schema(
# tag_name="browser-extract-content",
# mappings=[
# {"param_name": "goal", "node_type": "content", "path": "."}
# ],
# example='''
# <browser-extract-content>
# Extract all links on the page
# </browser-extract-content>
# '''
# )
# async def browser_extract_content(self, goal: str) -> ToolResult:
# """Extract content from the current page based on the provided goal
# Args:
# goal (str): The extraction goal
# Returns:
# dict: Result of the execution
# """
# logger.debug(f"\033[95mExtracting content with goal: {goal}\033[0m")
# result = await self._execute_browser_action("extract_content", {"goal": goal})
# # Format content for better readability
# if result.get("success"):
# logger.debug(f"\033[92mContent extraction successful\033[0m")
# content = result.data.get("content", "")
# url = result.data.get("url", "")
# title = result.data.get("title", "")
# if content:
# content_preview = content[:200] + "..." if len(content) > 200 else content
# logger.debug(f"\033[95mExtracted content from {title} ({url}):\033[0m")
# logger.debug(f"\033[96m{content_preview}\033[0m")
# logger.debug(f"\033[95mTotal content length: {len(content)} characters\033[0m")
# else:
# logger.debug(f"\033[93mNo content extracted from {url}\033[0m")
# else:
# logger.debug(f"\033[91mFailed to extract content: {result.data.get('error', 'Unknown error')}\033[0m")
# return result
@openapi_schema({
"type": "function",
"function": {
"name": "browser_scroll_down",
"description": "Scroll down the page",
"parameters": {
"type": "object",
"properties": {
"amount": {
"type": "integer",
"description": "Pixel amount to scroll (if not specified, scrolls one page)"
}
}
}
}
})
async def browser_scroll_down(self, amount: int = None) -> ToolResult:
"""Scroll down the page
Args:
amount (int, optional): Pixel amount to scroll. If None, scrolls one page.
Returns:
dict: Result of the execution
"""
params = {}
if amount is not None:
params["amount"] = amount
logger.debug(f"\033[95mScrolling down by {amount} pixels\033[0m")
else:
logger.debug(f"\033[95mScrolling down one page\033[0m")
return await self._execute_browser_action("scroll_down", params)
@openapi_schema({
"type": "function",
"function": {
"name": "browser_scroll_up",
"description": "Scroll up the page",
"parameters": {
"type": "object",
"properties": {
"amount": {
"type": "integer",
"description": "Pixel amount to scroll (if not specified, scrolls one page)"
}
}
}
}
})
async def browser_scroll_up(self, amount: int = None) -> ToolResult:
"""Scroll up the page
Args:
amount (int, optional): Pixel amount to scroll. If None, scrolls one page.
Returns:
dict: Result of the execution
"""
params = {}
if amount is not None:
params["amount"] = amount
logger.debug(f"\033[95mScrolling up by {amount} pixels\033[0m")
else:
logger.debug(f"\033[95mScrolling up one page\033[0m")
return await self._execute_browser_action("scroll_up", params)
@openapi_schema({
"type": "function",
"function": {
"name": "browser_scroll_to_text",
"description": "Scroll to specific text on the page",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to scroll to"
}
},
"required": ["text"]
}
}
})
async def browser_scroll_to_text(self, text: str) -> ToolResult:
"""Scroll to specific text on the page
Args:
text (str): The text to scroll to
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mScrolling to text: {text}\033[0m")
return await self._execute_browser_action("scroll_to_text", {"text": text})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_get_dropdown_options",
"description": "Get all options from a dropdown element",
"parameters": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "The index of the dropdown element"
}
},
"required": ["index"]
}
}
})
async def browser_get_dropdown_options(self, index: int) -> ToolResult:
"""Get all options from a dropdown element
Args:
index (int): The index of the dropdown element
Returns:
dict: Result of the execution with the dropdown options
"""
logger.debug(f"\033[95mGetting options from dropdown with index: {index}\033[0m")
return await self._execute_browser_action("get_dropdown_options", {"index": index})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_select_dropdown_option",
"description": "Select an option from a dropdown by text",
"parameters": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "The index of the dropdown element"
},
"text": {
"type": "string",
"description": "The text of the option to select"
}
},
"required": ["index", "text"]
}
}
})
async def browser_select_dropdown_option(self, index: int, text: str) -> ToolResult:
"""Select an option from a dropdown by text
Args:
index (int): The index of the dropdown element
text (str): The text of the option to select
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mSelecting option '{text}' from dropdown with index: {index}\033[0m")
return await self._execute_browser_action("select_dropdown_option", {"index": index, "text": text})
@openapi_schema({
"type": "function",
"function": {
"name": "browser_drag_drop",
"description": "Perform drag and drop operation between elements or coordinates",
"parameters": {
"type": "object",
"properties": {
"element_source": {
"type": "string",
"description": "The source element selector"
},
"element_target": {
"type": "string",
"description": "The target element selector"
},
"coord_source_x": {
"type": "integer",
"description": "The source X coordinate"
},
"coord_source_y": {
"type": "integer",
"description": "The source Y coordinate"
},
"coord_target_x": {
"type": "integer",
"description": "The target X coordinate"
},
"coord_target_y": {
"type": "integer",
"description": "The target Y coordinate"
}
}
}
}
})
async def browser_drag_drop(self, element_source: str = None, element_target: str = None,
coord_source_x: int = None, coord_source_y: int = None,
coord_target_x: int = None, coord_target_y: int = None) -> ToolResult:
"""Perform drag and drop operation between elements or coordinates
Args:
element_source (str, optional): The source element selector
element_target (str, optional): The target element selector
coord_source_x (int, optional): The source X coordinate
coord_source_y (int, optional): The source Y coordinate
coord_target_x (int, optional): The target X coordinate
coord_target_y (int, optional): The target Y coordinate
Returns:
dict: Result of the execution
"""
params = {}
if element_source and element_target:
params["element_source"] = element_source
params["element_target"] = element_target
logger.debug(f"\033[95mDragging from element '{element_source}' to '{element_target}'\033[0m")
elif all(coord is not None for coord in [coord_source_x, coord_source_y, coord_target_x, coord_target_y]):
params["coord_source_x"] = coord_source_x
params["coord_source_y"] = coord_source_y
params["coord_target_x"] = coord_target_x
params["coord_target_y"] = coord_target_y
logger.debug(f"\033[95mDragging from coordinates ({coord_source_x}, {coord_source_y}) to ({coord_target_x}, {coord_target_y})\033[0m")
else:
return self.fail_response("Must provide either element selectors or coordinates for drag and drop")
return await self._execute_browser_action("drag_drop", params)
@openapi_schema({
"type": "function",
"function": {
"name": "browser_click_coordinates",
"description": "Click at specific X,Y coordinates on the page",
"parameters": {
"type": "object",
"properties": {
"x": {
"type": "integer",
"description": "The X coordinate to click"
},
"y": {
"type": "integer",
"description": "The Y coordinate to click"
}
},
"required": ["x", "y"]
}
}
})
async def browser_click_coordinates(self, x: int, y: int) -> ToolResult:
"""Click at specific X,Y coordinates on the page
Args:
x (int): The X coordinate to click
y (int): The Y coordinate to click
Returns:
dict: Result of the execution
"""
logger.debug(f"\033[95mClicking at coordinates: ({x}, {y})\033[0m")
return await self._execute_browser_action("click_coordinates", {"x": x, "y": y})

View File

@ -745,105 +745,6 @@ TOOL_GROUPS: Dict[str, ToolGroup] = {
]
),
"sb_browser_tool": ToolGroup(
name="sb_browser_tool",
display_name="Browser Automation (Advanced)",
description="Advanced browser automation with full UI interaction capabilities",
tool_class="SandboxBrowserTool",
methods=[
ToolMethod(
name="browser_navigate_to",
display_name="Navigate To URL",
description="Navigate browser to specific URL",
enabled=True
),
ToolMethod(
name="browser_go_back",
display_name="Go Back",
description="Navigate back in browser history",
enabled=True
),
ToolMethod(
name="browser_wait",
display_name="Wait",
description="Wait for specified number of seconds",
enabled=True
),
ToolMethod(
name="browser_click_element",
display_name="Click Element",
description="Click on an element by index",
enabled=True
),
ToolMethod(
name="browser_input_text",
display_name="Input Text",
description="Input text into an element",
enabled=True
),
ToolMethod(
name="browser_send_keys",
display_name="Send Keys",
description="Send keyboard keys (Enter, Escape, shortcuts)",
enabled=True
),
ToolMethod(
name="browser_switch_tab",
display_name="Switch Tab",
description="Switch to a different browser tab",
enabled=True
),
ToolMethod(
name="browser_close_tab",
display_name="Close Tab",
description="Close a browser tab",
enabled=True
),
ToolMethod(
name="browser_scroll_down",
display_name="Scroll Down",
description="Scroll down the page",
enabled=True
),
ToolMethod(
name="browser_scroll_up",
display_name="Scroll Up",
description="Scroll up the page",
enabled=True
),
ToolMethod(
name="browser_scroll_to_text",
display_name="Scroll To Text",
description="Scroll to specific text on the page",
enabled=True
),
ToolMethod(
name="browser_get_dropdown_options",
display_name="Get Dropdown Options",
description="Get all options from a dropdown element",
enabled=True
),
ToolMethod(
name="browser_select_dropdown_option",
display_name="Select Dropdown Option",
description="Select an option from a dropdown by text",
enabled=True
),
ToolMethod(
name="browser_drag_drop",
display_name="Drag and Drop",
description="Perform drag and drop operation",
enabled=True
),
ToolMethod(
name="browser_click_coordinates",
display_name="Click Coordinates",
description="Click at specific X,Y coordinates",
enabled=True
),
]
),
"people_search_tool": ToolGroup(
name="people_search_tool",
display_name="People Search",
@ -1017,12 +918,6 @@ TOOL_GROUPS: Dict[str, ToolGroup] = {
enabled=True,
is_core=True
),
ToolMethod(
name="web_browser_takeover",
display_name="Request Browser Takeover",
description="Request user takeover of browser interaction",
enabled=True
),
ToolMethod(
name="complete",
display_name="Complete Task",