Source code for camel.toolkits.async_browser_toolkit

# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
import asyncio
import datetime
import io
import json
import os
import random
import re
import shutil
import urllib.parse
from copy import deepcopy
from typing import (
    TYPE_CHECKING,
    Any,
    BinaryIO,
    Coroutine,
    Dict,
    List,
    Literal,
    Optional,
    Tuple,
    TypedDict,
    Union,
    cast,
)

from PIL import Image, ImageDraw, ImageFont

if TYPE_CHECKING:
    from camel.agents import ChatAgent
from camel.logger import get_logger
from camel.messages import BaseMessage
from camel.models import BaseModelBackend, ModelFactory
from camel.toolkits.base import BaseToolkit
from camel.toolkits.function_tool import FunctionTool
from camel.toolkits.video_analysis_toolkit import VideoAnalysisToolkit
from camel.types import ModelPlatformType, ModelType
from camel.utils import (
    dependencies_required,
    retry_on_error,
    sanitize_filename,
)

logger = get_logger(__name__)

TOP_NO_LABEL_ZONE = 20

AVAILABLE_ACTIONS_PROMPT = """
1. `fill_input_id(identifier: Union[str, int], text: str)`: Fill an input
field (e.g. search box) with the given text and press Enter.
2. `click_id(identifier: Union[str, int])`: Click an element with the given ID.
3. `hover_id(identifier: Union[str, int])`: Hover over an element with the
given ID.
4. `download_file_id(identifier: Union[str, int])`: Download a file with the
given ID. It returns the path to the downloaded file. If the file is
successfully downloaded, you can stop the simulation and report the path to
the downloaded file for further processing.
5. `scroll_to_bottom()`: Scroll to the bottom of the page.
6. `scroll_to_top()`: Scroll to the top of the page.
7. `scroll_up()`: Scroll up the page. It is suitable when you want to see the
elements above the current viewport.
8. `scroll_down()`: Scroll down the page. It is suitable when you want to see
the elements below the current viewport. If the webpage does not change, It
means that the webpage has scrolled to the bottom.
9. `back()`: Navigate back to the previous page. This is useful when you want
to go back to the previous page, as current page is not useful.
10. `stop()`: Stop the action process, because the task is completed or failed
(impossible to find the answer). In this situation, you should provide your
answer in your output.
11. `get_url()`: Get the current URL of the current page.
12. `find_text_on_page(search_text: str)`: Find the next given text on the
current whole page, and scroll the page to the targeted text. It is equivalent
to pressing Ctrl + F and searching for the text, and is powerful when you want
to fast-check whether the current page contains some specific text.
13. `visit_page(url: str)`: Go to the specific url page.
14. `click_blank_area()`: Click a blank area of the page to unfocus the
current element. It is useful when you have clicked an element but it cannot
unfocus itself (e.g. Menu bar) to automatically render the updated webpage.
15. `ask_question_about_video(question: str)`: Ask a question about the
current webpage which contains video, e.g. youtube websites.
"""

ASYNC_ACTIONS = [
    "fill_input_id",
    "click_id",
    "hover_id",
    "download_file_id",
    "scroll_up",
    "scroll_down",
    "scroll_to_bottom",
    "scroll_to_top",
    "back",
    "stop",
    "find_text_on_page",
    "visit_page",
    "click_blank_area",
]

ACTION_WITH_FEEDBACK_LIST = [
    'ask_question_about_video',
    'download_file_id',
    'find_text_on_page',
]


# Code from magentic-one
class DOMRectangle(TypedDict):
    x: Union[int, float]
    y: Union[int, float]
    width: Union[int, float]
    height: Union[int, float]
    top: Union[int, float]
    right: Union[int, float]
    bottom: Union[int, float]
    left: Union[int, float]


class VisualViewport(TypedDict):
    height: Union[int, float]
    width: Union[int, float]
    offsetLeft: Union[int, float]
    offsetTop: Union[int, float]
    pageLeft: Union[int, float]
    pageTop: Union[int, float]
    scale: Union[int, float]
    clientWidth: Union[int, float]
    clientHeight: Union[int, float]
    scrollWidth: Union[int, float]
    scrollHeight: Union[int, float]


class InteractiveRegion(TypedDict):
    tag_name: str
    role: str
    aria_name: str
    v_scrollable: bool
    rects: List[DOMRectangle]


def extract_function_name(s: str) -> str:
    r"""Extract the pure function name from a string (without parameters or
    parentheses)

    Args:
        s (str): Input string, e.g., `1.`**`click_id(14)`**, `scroll_up()`,
        `'visit_page(url)'`, etc.

    Returns:
        str: Pure function name (e.g., `click_id`, `scroll_up`, `visit_page`)
    """
    # 1. Strip leading/trailing whitespace and enclosing backticks or quotes
    s = s.strip().strip('`"\'')

    # Strip any leading numeric prefix like " 12. " or "3.   "
    s = re.sub(r'^\s*\d+\.\s*', '', s)

    # 3. Match a Python-valid identifier followed by an opening parenthesis
    match = re.match(r'^([A-Za-z_]\w*)\s*\(', s)
    if match:
        return match.group(1)

    # 4. Fallback: take everything before the first space or '('
    return re.split(r'[ (\n]', s, maxsplit=1)[0]


def _get_str(d: Any, k: str) -> str:
    r"""Safely retrieve a string value from a dictionary."""
    if k not in d:
        raise KeyError(f"Missing required key: '{k}'")
    val = d[k]
    if isinstance(val, str):
        return val
    raise TypeError(
        f"Expected a string for key '{k}', " f"but got {type(val).__name__}"
    )


def _get_number(d: Any, k: str) -> Union[int, float]:
    r"""Safely retrieve a number (int or float) from a dictionary"""
    val = d[k]
    if isinstance(val, (int, float)):
        return val
    raise TypeError(
        f"Expected a number (int/float) for key "
        f"'{k}', but got {type(val).__name__}"
    )


def _get_bool(d: Any, k: str) -> bool:
    r"""Safely retrieve a boolean value from a dictionary."""
    val = d[k]
    if isinstance(val, bool):
        return val
    raise TypeError(
        f"Expected a boolean for key '{k}', " f"but got {type(val).__name__}"
    )


def _parse_json_output(text: str) -> Dict[str, Any]:
    r"""Extract JSON output from a string."""

    markdown_pattern = r'```(?:json)?\s*(.*?)\s*```'
    markdown_match = re.search(markdown_pattern, text, re.DOTALL)
    if markdown_match:
        text = markdown_match.group(1).strip()

    triple_quotes_pattern = r'"""(?:json)?\s*(.*?)\s*"""'
    triple_quotes_match = re.search(triple_quotes_pattern, text, re.DOTALL)
    if triple_quotes_match:
        text = triple_quotes_match.group(1).strip()

    try:
        return json.loads(text)
    except json.JSONDecodeError:
        try:
            fixed_text = re.sub(
                r'`([^`]*?)`(?=\s*[:,\[\]{}]|$)', r'"\1"', text
            )
            return json.loads(fixed_text)
        except json.JSONDecodeError:
            result = {}
            try:
                bool_pattern = r'"(\w+)"\s*:\s*(true|false)'
                for match in re.finditer(bool_pattern, text, re.IGNORECASE):
                    key, value = match.groups()
                    result[key] = value.lower() == "true"

                str_pattern = r'"(\w+)"\s*:\s*"([^"]*)"'
                for match in re.finditer(str_pattern, text):
                    key, value = match.groups()
                    result[key] = value

                num_pattern = r'"(\w+)"\s*:\s*(-?\d+(?:\.\d+)?)'
                for match in re.finditer(num_pattern, text):
                    key, value = match.groups()
                    try:
                        result[key] = int(value)
                    except ValueError:
                        result[key] = float(value)

                empty_str_pattern = r'"(\w+)"\s*:\s*""'
                for match in re.finditer(empty_str_pattern, text):
                    key = match.group(1)
                    result[key] = ""

                if result:
                    return result

                logger.warning(f"Failed to parse JSON output: {text}")
                return {}
            except Exception as e:
                logger.warning(f"Error while extracting fields from JSON: {e}")
                return {}


def _reload_image(image: Image.Image):
    buffer = io.BytesIO()
    image.save(buffer, format="PNG")
    buffer.seek(0)
    return Image.open(buffer)


def dom_rectangle_from_dict(rect: Dict[str, Any]) -> DOMRectangle:
    r"""Create a DOMRectangle object from a dictionary."""
    return DOMRectangle(
        x=_get_number(rect, "x"),
        y=_get_number(rect, "y"),
        width=_get_number(rect, "width"),
        height=_get_number(rect, "height"),
        top=_get_number(rect, "top"),
        right=_get_number(rect, "right"),
        bottom=_get_number(rect, "bottom"),
        left=_get_number(rect, "left"),
    )


def interactive_region_from_dict(region: Dict[str, Any]) -> InteractiveRegion:
    r"""Create an :class:`InteractiveRegion` object from a dictionary."""
    typed_rects: List[DOMRectangle] = []
    for rect in region["rects"]:
        typed_rects.append(dom_rectangle_from_dict(rect))

    return InteractiveRegion(
        tag_name=_get_str(region, "tag_name"),
        role=_get_str(region, "role"),
        aria_name=_get_str(region, "aria-name"),
        v_scrollable=_get_bool(region, "v-scrollable"),
        rects=typed_rects,
    )


def visual_viewport_from_dict(viewport: Dict[str, Any]) -> VisualViewport:
    r"""Create a :class:`VisualViewport` object from a dictionary."""
    return VisualViewport(
        height=_get_number(viewport, "height"),
        width=_get_number(viewport, "width"),
        offsetLeft=_get_number(viewport, "offsetLeft"),
        offsetTop=_get_number(viewport, "offsetTop"),
        pageLeft=_get_number(viewport, "pageLeft"),
        pageTop=_get_number(viewport, "pageTop"),
        scale=_get_number(viewport, "scale"),
        clientWidth=_get_number(viewport, "clientWidth"),
        clientHeight=_get_number(viewport, "clientHeight"),
        scrollWidth=_get_number(viewport, "scrollWidth"),
        scrollHeight=_get_number(viewport, "scrollHeight"),
    )


def add_set_of_mark(
    screenshot: Union[bytes, Image.Image, io.BufferedIOBase],
    ROIs: Dict[str, InteractiveRegion],
) -> Tuple[Image.Image, List[str], List[str], List[str]]:
    if isinstance(screenshot, Image.Image):
        return _add_set_of_mark(screenshot, ROIs)

    if isinstance(screenshot, bytes):
        screenshot = io.BytesIO(screenshot)

    image = Image.open(cast(BinaryIO, screenshot))
    comp, visible_rects, rects_above, rects_below = _add_set_of_mark(
        image, ROIs
    )
    image.close()
    return comp, visible_rects, rects_above, rects_below


def _add_set_of_mark(
    screenshot: Image.Image, ROIs: Dict[str, InteractiveRegion]
) -> Tuple[Image.Image, List[str], List[str], List[str]]:
    r"""Add a set of marks to the screenshot.

    Args:
        screenshot (Image.Image): The screenshot to add marks to.
        ROIs (Dict[str, InteractiveRegion]): The regions to add marks to.

    Returns:
        Tuple[Image.Image, List[str], List[str], List[str]]: A tuple
            containing the screenshot with marked ROIs, ROIs fully within the
            images, ROIs located above the visible area, and ROIs located below
            the visible area.
    """
    visible_rects: List[str] = list()
    rects_above: List[str] = list()  # Scroll up to see
    rects_below: List[str] = list()  # Scroll down to see

    fnt = ImageFont.load_default(14)
    base = screenshot.convert("L").convert("RGBA")
    overlay = Image.new("RGBA", base.size)

    draw = ImageDraw.Draw(overlay)
    for r in ROIs:
        for rect in ROIs[r]["rects"]:
            # Empty rectangles
            if not rect or rect["width"] == 0 or rect["height"] == 0:
                continue

            # TODO: add scroll left and right?
            horizontal_center = (rect["right"] + rect["left"]) / 2.0
            vertical_center = (rect["top"] + rect["bottom"]) / 2.0
            is_within_horizon = 0 <= horizontal_center < base.size[0]
            is_above_viewport = vertical_center < 0
            is_below_viewport = vertical_center >= base.size[1]

            if is_within_horizon:
                if is_above_viewport:
                    rects_above.append(r)
                elif is_below_viewport:
                    rects_below.append(r)
                else:  # Fully visible
                    visible_rects.append(r)
                    _draw_roi(draw, int(r), fnt, rect)

    comp = Image.alpha_composite(base, overlay)
    overlay.close()
    return comp, visible_rects, rects_above, rects_below


def _draw_roi(
    draw: ImageDraw.ImageDraw,
    idx: int,
    font: ImageFont.FreeTypeFont | ImageFont.ImageFont,
    rect: DOMRectangle,
) -> None:
    r"""Draw a ROI on the image.

    Args:
        draw (ImageDraw.ImageDraw): The draw object.
        idx (int): The index of the ROI.
        font (ImageFont.FreeTypeFont | ImageFont.ImageFont): The font.
        rect (DOMRectangle): The DOM rectangle.
    """
    color = _get_random_color(idx)
    text_color = _get_text_color(color)

    roi = ((rect["left"], rect["top"]), (rect["right"], rect["bottom"]))

    label_location = (rect["right"], rect["top"])
    label_anchor = "rb"

    if label_location[1] <= TOP_NO_LABEL_ZONE:
        label_location = (rect["right"], rect["bottom"])
        label_anchor = "rt"

    draw.rectangle(
        roi, outline=color, fill=(color[0], color[1], color[2], 48), width=2
    )

    bbox = draw.textbbox(
        label_location,
        str(idx),
        font=font,
        anchor=label_anchor,
        align="center",
    )
    bbox = (bbox[0] - 3, bbox[1] - 3, bbox[2] + 3, bbox[3] + 3)
    draw.rectangle(bbox, fill=color)

    draw.text(
        label_location,
        str(idx),
        fill=text_color,
        font=font,
        anchor=label_anchor,
        align="center",
    )


def _get_text_color(
    bg_color: Tuple[int, int, int, int],
) -> Tuple[int, int, int, int]:
    r"""Determine the ideal text color (black or white) for contrast.

    Args:
        bg_color: The background color (R, G, B, A).

    Returns:
        A tuple representing black or white color for text.
    """
    luminance = bg_color[0] * 0.3 + bg_color[1] * 0.59 + bg_color[2] * 0.11
    return (0, 0, 0, 255) if luminance > 120 else (255, 255, 255, 255)


def _get_random_color(identifier: int) -> Tuple[int, int, int, int]:
    r"""Generate a consistent random RGBA color based on the identifier.

    Args:
        identifier: The ID used as a seed to ensure color consistency.

    Returns:
        A tuple representing (R, G, B, A) values.
    """
    rnd = random.Random(int(identifier))
    r = rnd.randint(0, 255)
    g = rnd.randint(125, 255)
    b = rnd.randint(0, 50)
    color = [r, g, b]
    # TODO: check why shuffle is needed?
    rnd.shuffle(color)
    color.append(255)
    return cast(Tuple[int, int, int, int], tuple(color))


class AsyncBaseBrowser:
    def __init__(
        self,
        headless=True,
        cache_dir: Optional[str] = None,
        channel: Literal["chrome", "msedge", "chromium"] = "chromium",
        cookie_json_path: Optional[str] = None,
    ):
        r"""
        Initialize the asynchronous browser core.

        Args:
            headless (bool): Whether to run the browser in headless mode.
            cache_dir (Union[str, None]): The directory to store cache files.
            channel (Literal["chrome", "msedge", "chromium"]): The browser
                channel to use. Must be one of "chrome", "msedge", or
                "chromium".
            cookie_json_path (Optional[str]): Path to a JSON file containing
                authentication cookies and browser storage state. If provided
                and the file exists, the browser will load this state to
                maintain authenticated sessions without requiring manual login.

        Returns:
            None
        """
        from playwright.async_api import (
            async_playwright,
        )

        self.history: list = []
        self.headless = headless
        self.channel = channel
        self.playwright = async_playwright()
        self.page_history: list = []
        self.cookie_json_path = cookie_json_path

        # Set the cache directory
        self.cache_dir = "tmp/" if cache_dir is None else cache_dir
        os.makedirs(self.cache_dir, exist_ok=True)

        # Load the page script
        abs_dir_path = os.path.dirname(os.path.abspath(__file__))
        page_script_path = os.path.join(abs_dir_path, "page_script.js")

        try:
            with open(page_script_path, "r", encoding='utf-8') as f:
                self.page_script = f.read()
            f.close()
        except FileNotFoundError:
            raise FileNotFoundError(
                f"Page script file not found at path: {page_script_path}"
            )

    async def async_init(self) -> None:
        r"""Asynchronously initialize the browser."""
        # Start Playwright asynchronously (only needed in async mode).
        if not getattr(self, "playwright_started", False):
            await self._ensure_browser_installed()
            self.playwright_server = await self.playwright.start()
            self.playwright_started = True
        # Launch the browser asynchronously.
        self.browser = await self.playwright_server.chromium.launch(
            headless=self.headless, channel=self.channel
        )
        # Check if cookie file exists before using it to maintain
        # authenticated sessions. This prevents errors when the cookie file
        # doesn't exist
        if self.cookie_json_path and os.path.exists(self.cookie_json_path):
            self.context = await self.browser.new_context(
                accept_downloads=True, storage_state=self.cookie_json_path
            )
        else:
            self.context = await self.browser.new_context(
                accept_downloads=True,
            )
        # Create a new page asynchronously.
        self.page = await self.context.new_page()

    def init(self) -> Coroutine[Any, Any, None]:
        r"""Initialize the browser asynchronously."""
        return self.async_init()

    def clean_cache(self) -> None:
        r"""Delete the cache directory and its contents."""
        if os.path.exists(self.cache_dir):
            shutil.rmtree(self.cache_dir)

    async def async_wait_for_load(self, timeout: int = 20) -> None:
        r"""
        Asynchronously Wait for a certain amount of time for the page to load.

        Args:
            timeout (int): Timeout in seconds.
        """
        timeout_ms = timeout * 1000
        await self.page.wait_for_load_state("load", timeout=timeout_ms)

        # TODO: check if this is needed
        await asyncio.sleep(2)

    def wait_for_load(self, timeout: int = 20) -> Coroutine[Any, Any, None]:
        r"""Wait for a certain amount of time for the page to load.

        Args:
            timeout (int): Timeout in seconds.
        """
        return self.async_wait_for_load(timeout)

    async def async_click_blank_area(self) -> None:
        r"""Asynchronously click a blank area of the page to unfocus
        the current element."""
        await self.page.mouse.click(0, 0)
        await self.wait_for_load()

    def click_blank_area(self) -> Coroutine[Any, Any, None]:
        r"""Click a blank area of the page to unfocus the current element."""
        return self.async_click_blank_area()

    async def async_visit_page(self, url: str) -> None:
        r"""Visit a page with the given URL."""

        await self.page.goto(url)
        await self.wait_for_load()
        self.page_url = url

    @retry_on_error()
    def visit_page(self, url: str) -> Coroutine[Any, Any, None]:
        r"""Visit a page with the given URL."""

        return self.async_visit_page(url)

    def ask_question_about_video(self, question: str) -> str:
        r"""Ask a question about the video on the current page,
        such as YouTube video.

        Args:
            question (str): The question to ask.

        Returns:
            str: The answer to the question.
        """
        current_url = self.get_url()

        # Confirm with user before proceeding due to potential slow
        # processing time
        confirmation_message = (
            f"Do you want to analyze the video on the current "
            f"page({current_url})? This operation may take a long time.(y/n): "
        )
        user_confirmation = input(confirmation_message)

        if user_confirmation.lower() not in ['y', 'yes']:
            return "User cancelled the video analysis."

        model = None
        if hasattr(self, 'web_agent_model'):
            model = self.web_agent_model

        video_analyzer = VideoAnalysisToolkit(model=model)
        result = video_analyzer.ask_question_about_video(current_url, question)
        return result

    @retry_on_error()
    async def async_get_screenshot(
        self, save_image: bool = False
    ) -> Tuple[Image.Image, Union[str, None]]:
        r"""Asynchronously get a screenshot of the current page.

        Args:
            save_image (bool): Whether to save the image to the cache
                directory.

        Returns:
            Tuple[Image.Image, str]: A tuple containing the screenshot
            image and the path to the image file if saved, otherwise
            :obj:`None`.
        """
        image_data = await self.page.screenshot(timeout=60000)
        image = Image.open(io.BytesIO(image_data))

        file_path = None
        if save_image:
            # Get url name to form a file name
            # Use urlparser for a safer extraction the url name
            parsed_url = urllib.parse.urlparse(self.page_url)
            # Max length is set to 241 as there are 10 characters for the
            # timestamp and 4 characters for the file extension:
            url_name = sanitize_filename(str(parsed_url.path), max_length=241)
            timestamp = datetime.datetime.now().strftime("%m%d%H%M%S")
            file_path = os.path.join(
                self.cache_dir, f"{url_name}_{timestamp}.png"
            )
            with open(file_path, "wb") as f:
                image.save(f, "PNG")
            f.close()

        return image, file_path

    @retry_on_error()
    def get_screenshot(
        self, save_image: bool = False
    ) -> Coroutine[Any, Any, Tuple[Image.Image, Union[str, None]]]:
        r"""Get a screenshot of the current page.

        Args:
            save_image (bool): Whether to save the image to the cache
                directory.

        Returns:
            Tuple[Image.Image, str]: A tuple containing the screenshot
            image and the path to the image file if saved, otherwise
            :obj:`None`.
        """
        return self.async_get_screenshot(save_image)

    async def async_capture_full_page_screenshots(
        self, scroll_ratio: float = 0.8
    ) -> List[str]:
        r"""Asynchronously capture full page screenshots by scrolling the
        page with a buffer zone.

        Args:
            scroll_ratio (float): The ratio of viewport height to scroll each
            step (default: 0.8).

        Returns:
            List[str]: A list of paths to the captured screenshots.
        """
        screenshots = []
        scroll_height = await self.page.evaluate("document.body.scrollHeight")
        assert self.page.viewport_size is not None
        viewport_height = self.page.viewport_size["height"]
        current_scroll = 0
        screenshot_index = 1

        max_height = scroll_height - viewport_height
        scroll_step = int(viewport_height * scroll_ratio)

        last_height = 0

        while True:
            logger.debug(
                f"Current scroll: {current_scroll}, max_height: "
                f"{max_height}, step: {scroll_step}"
            )

            _, file_path = await self.get_screenshot(save_image=True)
            screenshots.append(file_path)

            await self.page.evaluate(f"window.scrollBy(0, {scroll_step})")
            # Allow time for content to load
            await asyncio.sleep(0.5)

            current_scroll = await self.page.evaluate("window.scrollY")
            # Break if there is no significant scroll
            if abs(current_scroll - last_height) < viewport_height * 0.1:
                break

            last_height = current_scroll
            screenshot_index += 1

        return screenshots

    def capture_full_page_screenshots(
        self, scroll_ratio: float = 0.8
    ) -> Coroutine[Any, Any, List[str]]:
        r"""Capture full page screenshots by scrolling the page with
            a buffer zone.

        Args:
            scroll_ratio (float): The ratio of viewport height to scroll each
                step (default: 0.8).

        Returns:
            List[str]: A list of paths to the captured screenshots.
        """
        return self.async_capture_full_page_screenshots(scroll_ratio)

    async def async_get_visual_viewport(self) -> VisualViewport:
        r"""Asynchronously get the visual viewport of the current page.

        Returns:
            VisualViewport: The visual viewport of the current page.
        """
        try:
            await self.page.evaluate(self.page_script)
        except Exception as e:
            logger.warning(f"Error evaluating page script: {e}")

        return visual_viewport_from_dict(
            await self.page.evaluate(
                "MultimodalWebSurfer.getVisualViewport();"
            )
        )

    def get_visual_viewport(self) -> Coroutine[Any, Any, VisualViewport]:
        r"""Get the visual viewport of the current page."""
        return self.async_get_visual_viewport()

    async def async_get_interactive_elements(
        self,
    ) -> Dict[str, InteractiveRegion]:
        r"""Asynchronously get the interactive elements of the current page.

        Returns:
            Dict[str, InteractiveRegion]: A dictionary containing the
            interactive elements of the current page.
        """
        try:
            await self.page.evaluate(self.page_script)
        except Exception as e:
            logger.warning(f"Error evaluating page script: {e}")

        result = cast(
            Dict[str, Dict[str, Any]],
            await self.page.evaluate(
                "MultimodalWebSurfer.getInteractiveRects();"
            ),
        )

        typed_results: Dict[str, InteractiveRegion] = {}
        for k in result:
            typed_results[k] = interactive_region_from_dict(result[k])

        return typed_results  # type: ignore[return-value]

    def get_interactive_elements(
        self,
    ) -> Coroutine[Any, Any, Dict[str, InteractiveRegion]]:
        r"""Get the interactive elements of the current page.

        Returns:
            Dict[str, InteractiveRegion]: A dictionary of interactive elements.
        """
        return self.async_get_interactive_elements()

    async def async_get_som_screenshot(
        self,
        save_image: bool = False,
    ) -> Tuple[Image.Image, Union[str, None]]:
        r"""Asynchronously get a screenshot of the current viewport
        with interactive elements marked.

        Args:
            save_image (bool): Whether to save the image to the cache
                directory.

        Returns:
            Tuple[Image.Image, str]: A tuple containing the screenshot
                image and the path to the image file.

        """

        await self.wait_for_load()
        screenshot, _ = await self.get_screenshot(save_image=False)
        rects = await self.get_interactive_elements()

        file_path: str | None = None
        comp, _, _, _ = add_set_of_mark(
            screenshot,
            rects,  # type: ignore[arg-type]
        )
        if save_image:
            parsed_url = urllib.parse.urlparse(self.page_url)
            # Max length is set to 241 as there are 10 characters for the
            # timestamp and 4 characters for the file extension:
            url_name = sanitize_filename(str(parsed_url.path), max_length=241)
            timestamp = datetime.datetime.now().strftime("%m%d%H%M%S")
            file_path = os.path.join(
                self.cache_dir, f"{url_name}_{timestamp}.png"
            )
            with open(file_path, "wb") as f:
                comp.save(f, "PNG")
            f.close()

        return comp, file_path

    def get_som_screenshot(
        self,
        save_image: bool = False,
    ) -> Coroutine[Any, Any, Tuple[Image.Image, Union[str, None]]]:
        r"""Get a screenshot of the current viewport with interactive elements
        marked.

        Args:
            save_image (bool): Whether to save the image to the cache
                directory.

        Returns:
            Tuple[Image.Image, str]: A tuple containing the screenshot image
                and the path to the image file.
        """
        return self.async_get_som_screenshot(save_image)

    async def async_scroll_up(self) -> None:
        r"""Asynchronously scroll up the page."""
        await self.page.keyboard.press("PageUp")

    def scroll_up(self) -> Coroutine[Any, Any, None]:
        r"""Scroll up the page."""
        return self.async_scroll_up()

    async def async_scroll_down(self) -> None:
        r"""Asynchronously scroll down the page."""
        await self.page.keyboard.press("PageDown")

    def scroll_down(self) -> Coroutine[Any, Any, None]:
        r"""Scroll down the page."""
        return self.async_scroll_down()

    def get_url(self) -> str:
        r"""Get the URL of the current page."""
        return self.page.url

    async def async_click_id(self, identifier: Union[str, int]) -> None:
        r"""Asynchronously click an element with the given ID.

        Args:
            identifier (Union[str, int]): The ID of the element to click.
        """
        if isinstance(identifier, int):
            identifier = str(identifier)
        target = self.page.locator(f"[__elementId='{identifier}']")

        try:
            await target.wait_for(timeout=5000)
        except (TimeoutError, Exception) as e:
            logger.debug(f"Error during click operation: {e}")
            raise ValueError("No such element.") from None

        await target.scroll_into_view_if_needed()

        new_page = None
        try:
            async with self.page.expect_event(
                "popup", timeout=1000
            ) as page_info:
                box = cast(
                    Dict[str, Union[int, float]], await target.bounding_box()
                )
                await self.page.mouse.click(
                    box["x"] + box["width"] / 2, box["y"] + box["height"] / 2
                )
            new_page = await page_info.value

            # If a new page is opened, switch to it
            if new_page:
                self.page_history.append(deepcopy(self.page.url))
                self.page = new_page

        except (TimeoutError, Exception) as e:
            logger.debug(f"Error during click operation: {e}")
            pass

        await self.wait_for_load()

    def click_id(
        self, identifier: Union[str, int]
    ) -> Coroutine[Any, Any, None]:
        r"""Click an element with the given identifier."""
        return self.async_click_id(identifier)

    async def async_extract_url_content(self) -> str:
        r"""Asynchronously extract the content of the current page."""
        content = await self.page.content()
        return content

    def extract_url_content(self) -> Coroutine[Any, Any, str]:
        r"""Extract the content of the current page."""
        return self.async_extract_url_content()

    async def async_download_file_id(self, identifier: Union[str, int]) -> str:
        r"""Asynchronously download a file with the given selector.

        Args:
            identifier (Union[str, int]): The identifier of the file
                to download.

        Returns:
            str: The path to the downloaded file.
        """

        if isinstance(identifier, int):
            identifier = str(identifier)
        try:
            target = self.page.locator(f"[__elementId='{identifier}']")
        except (TimeoutError, Exception) as e:
            logger.debug(f"Error during download operation: {e}")
            logger.warning(
                f"Element with identifier '{identifier}' not found."
            )
            return f"Element with identifier '{identifier}' not found."

        await target.scroll_into_view_if_needed()

        file_path = os.path.join(self.cache_dir)
        await self.wait_for_load()

        try:
            async with self.page.expect_download(
                timeout=5000
            ) as download_info:
                await target.click()
                download = await download_info.value
                file_name = download.suggested_filename

                file_path = os.path.join(file_path, file_name)
                await download.save_as(file_path)

            return f"Downloaded file to path '{file_path}'."

        except Exception as e:
            logger.debug(f"Error during download operation: {e}")
            return f"Failed to download file with identifier '{identifier}'."

    def download_file_id(
        self, identifier: Union[str, int]
    ) -> Coroutine[Any, Any, str]:
        r"""Download a file with the given identifier."""
        return self.async_download_file_id(identifier)

    async def async_fill_input_id(
        self, identifier: Union[str, int], text: str
    ) -> str:
        r"""Asynchronously fill an input field with the given text, and then
            press Enter.

        Args:
            identifier (Union[str, int]): The identifier of the input field.
            text (str): The text to fill.

        Returns:
            str: The result of the action.
        """
        if isinstance(identifier, int):
            identifier = str(identifier)

        try:
            target = self.page.locator(f"[__elementId='{identifier}']")
        except (TimeoutError, Exception) as e:
            logger.debug(f"Error during fill operation: {e}")
            logger.warning(
                f"Element with identifier '{identifier}' not found."
            )
            return f"Element with identifier '{identifier}' not found."

        await target.scroll_into_view_if_needed()
        await target.focus()
        try:
            await target.fill(text)
        except Exception as e:
            logger.debug(f"Error during fill operation: {e}")
            await target.press_sequentially(text)

        await target.press("Enter")
        await self.wait_for_load()
        return (
            f"Filled input field '{identifier}' with text '{text}' "
            f"and pressed Enter."
        )

    def fill_input_id(
        self, identifier: Union[str, int], text: str
    ) -> Coroutine[Any, Any, str]:
        r"""Fill an input field with the given text, and then press Enter."""
        return self.async_fill_input_id(identifier, text)

    async def async_scroll_to_bottom(self) -> str:
        r"""Asynchronously scroll to the bottom of the page."""
        await self.page.evaluate(
            "window.scrollTo(0, document.body.scrollHeight);"
        )
        await self.wait_for_load()
        return "Scrolled to the bottom of the page."

    def scroll_to_bottom(self) -> Coroutine[Any, Any, str]:
        r"""Scroll to the bottom of the page."""
        return self.async_scroll_to_bottom()

    async def async_scroll_to_top(self) -> str:
        r"""Asynchronously scroll to the top of the page."""
        await self.page.evaluate("window.scrollTo(0, 0);")
        await self.wait_for_load()
        return "Scrolled to the top of the page."

    def scroll_to_top(self) -> Coroutine[Any, Any, str]:
        r"""Scroll to the top of the page."""
        return self.async_scroll_to_top()

    async def async_hover_id(self, identifier: Union[str, int]) -> str:
        r"""Asynchronously hover over an element with the given identifier.

        Args:
            identifier (Union[str, int]): The identifier of the element
                to hover over.

        Returns:
            str: The result of the action.
        """
        if isinstance(identifier, int):
            identifier = str(identifier)
        try:
            target = self.page.locator(f"[__elementId='{identifier}']")
        except (TimeoutError, Exception) as e:
            logger.debug(f"Error during hover operation: {e}")
            logger.warning(
                f"Element with identifier '{identifier}' not found."
            )
            return f"Element with identifier '{identifier}' not found."

        await target.scroll_into_view_if_needed()
        await target.hover()
        await self.wait_for_load()
        return f"Hovered over element with identifier '{identifier}'."

    def hover_id(
        self, identifier: Union[str, int]
    ) -> Coroutine[Any, Any, str]:
        r"""Hover over an element with the given identifier."""
        return self.async_hover_id(identifier)

    async def async_find_text_on_page(self, search_text: str) -> str:
        r"""Asynchronously find the next given text on the page.It is
        equivalent to pressing Ctrl + F and searching for the text.

        Args:
            search_text (str): The text to search for.

        Returns:
            str: The result of the action.
        """
        script = f"""
        (function() {{
            let text = "{search_text}";
            let found = window.find(text);
            if (!found) {{
                let elements = document.querySelectorAll(
                    "*:not(script):not(style)"
                );
                for (let el of elements) {{
                    if (el.innerText && el.innerText.includes(text)) {{
                        el.scrollIntoView({{
                            behavior: "smooth",
                            block: "center"
                        }});
                        el.style.backgroundColor = "yellow";
                        el.style.border = '2px solid red';
                        return true;
                    }}
                }}
                return false;
            }}
            return true;
        }})();
        """
        found = await self.page.evaluate(script)
        await self.wait_for_load()
        if found:
            return f"Found text '{search_text}' on the page."
        else:
            return f"Text '{search_text}' not found on the page."

    def find_text_on_page(self, search_text: str) -> Coroutine[Any, Any, str]:
        r"""Find the next given text on the page, and scroll the page to
        the targeted text. It is equivalent to pressing Ctrl + F and
        searching for the text.

        Args:
            search_text (str): The text to search for.

        Returns:
            str: The result of the action.
        """
        return self.async_find_text_on_page(search_text)

    async def async_back(self) -> None:
        r"""Asynchronously navigate back to the previous page."""

        page_url_before = self.page.url
        await self.page.go_back()

        page_url_after = self.page.url

        if page_url_after == "about:blank":
            await self.visit_page(page_url_before)

        if page_url_before == page_url_after:
            # If the page is not changed, try to use the history
            if len(self.page_history) > 0:
                await self.visit_page(self.page_history.pop())

        await asyncio.sleep(1)
        await self.wait_for_load()

    def back(self) -> Coroutine[Any, Any, None]:
        r"""Navigate back to the previous page."""
        return self.async_back()

    async def async_close(self) -> None:
        r"""Asynchronously close the browser."""
        await self.browser.close()

    def close(self) -> Coroutine[Any, Any, None]:
        r"""Close the browser."""
        return self.async_close()

    async def async_show_interactive_elements(self) -> None:
        r"""Asynchronously show simple interactive elements on
        the current page."""
        await self.page.evaluate(self.page_script)
        await self.page.evaluate("""
        () => {
            document.querySelectorAll(
                'a, button, input, select, textarea, ' +
                '[tabindex]:not([tabindex="-1"]), ' +
                '[contenteditable="true"]'
            ).forEach(el => {
                el.style.border = '2px solid red';
            });
        }
        """)

    def show_interactive_elements(self) -> Coroutine[Any, Any, None]:
        r"""Show simple interactive elements on the current page."""
        return self.async_show_interactive_elements()

    async def async_get_webpage_content(self) -> str:
        r"""Asynchronously extract the content of the current page and convert
        it to markdown."""
        from html2text import html2text

        await self.wait_for_load()
        html_content = await self.page.content()

        markdown_content = html2text(html_content)
        return markdown_content

    @retry_on_error()
    def get_webpage_content(self) -> Coroutine[Any, Any, str]:
        r"""Extract the content of the current page."""
        return self.async_get_webpage_content()

    async def async_ensure_browser_installed(self) -> None:
        r"""Ensure the browser is installed."""

        import platform
        import sys

        try:
            from playwright.async_api import async_playwright

            async with async_playwright() as p:
                browser = await p.chromium.launch(channel=self.channel)
                await browser.close()
        except Exception:
            logger.info("Installing Chromium browser...")
            try:
                proc1 = await asyncio.create_subprocess_exec(
                    sys.executable,
                    "-m",
                    "playwright",
                    "install",
                    self.channel,
                    stdout=asyncio.subprocess.PIPE,
                    stderr=asyncio.subprocess.PIPE,
                )
                stdout, stderr = await proc1.communicate()
                if proc1.returncode != 0:
                    raise RuntimeError(
                        f"Failed to install browser: {stderr.decode()}"
                    )

                if platform.system().lower() == "linux":
                    proc2 = await asyncio.create_subprocess_exec(
                        sys.executable,
                        "-m",
                        "playwright",
                        "install-deps",
                        self.channel,
                        stdout=asyncio.subprocess.PIPE,
                        stderr=asyncio.subprocess.PIPE,
                    )
                    stdout2, stderr2 = await proc2.communicate()
                    if proc2.returncode != 0:
                        error_message = stderr2.decode()
                        raise RuntimeError(
                            f"Failed to install dependencies: {error_message}"
                        )

                logger.info("Chromium browser installation completed")
            except Exception as e:
                raise RuntimeError(f"Installation failed: {e}")

    def _ensure_browser_installed(self) -> Coroutine[Any, Any, None]:
        r"""Ensure the browser is installed."""
        return self.async_ensure_browser_installed()


[docs] class AsyncBrowserToolkit(BaseToolkit): r"""An asynchronous class for browsing the web and interacting with web pages. This class provides methods for browsing the web and interacting with web pages. """ def __init__( self, headless: bool = False, cache_dir: Optional[str] = None, channel: Literal["chrome", "msedge", "chromium"] = "chromium", history_window: int = 5, web_agent_model: Optional[BaseModelBackend] = None, planning_agent_model: Optional[BaseModelBackend] = None, output_language: str = "en", cookie_json_path: Optional[str] = None, ): r"""Initialize the BrowserToolkit instance. Args: headless (bool): Whether to run the browser in headless mode. cache_dir (Union[str, None]): The directory to store cache files. channel (Literal["chrome", "msedge", "chromium"]): The browser channel to use. Must be one of "chrome", "msedge", or "chromium". history_window (int): The window size for storing the history of actions. web_agent_model (Optional[BaseModelBackend]): The model backend for the web agent. planning_agent_model (Optional[BaseModelBackend]): The model backend for the planning agent. output_language (str): The language to use for output. (default: :obj:`"en`") cookie_json_path (Optional[str]): Path to a JSON file containing authentication cookies and browser storage state. If provided and the file exists, the browser will load this state to maintain authenticated sessions without requiring manual login. (default: :obj:`None`) """ self.browser = AsyncBaseBrowser( headless=headless, cache_dir=cache_dir, channel=channel, cookie_json_path=cookie_json_path, ) self.history_window = history_window self.web_agent_model = web_agent_model self.planning_agent_model = planning_agent_model self.output_language = output_language self.history: list = [] self.web_agent, self.planning_agent = self._initialize_agent() def _reset(self): self.web_agent.reset() self.planning_agent.reset() self.history = [] os.makedirs(self.browser.cache_dir, exist_ok=True) def _initialize_agent(self) -> Tuple["ChatAgent", "ChatAgent"]: r"""Initialize the agent.""" from camel.agents import ChatAgent if self.web_agent_model is None: web_agent_model = ModelFactory.create( model_platform=ModelPlatformType.OPENAI, model_type=ModelType.GPT_4_1, model_config_dict={"temperature": 0, "top_p": 1}, ) else: web_agent_model = self.web_agent_model if self.planning_agent_model is None: planning_model = ModelFactory.create( model_platform=ModelPlatformType.OPENAI, model_type=ModelType.O3_MINI, ) else: planning_model = self.planning_agent_model system_prompt = """ You are a helpful web agent that can assist users in browsing the web. Given a high-level task, you can leverage predefined browser tools to help users achieve their goals. """ web_agent = ChatAgent( system_message=system_prompt, model=web_agent_model, output_language=self.output_language, ) planning_system_prompt = """ You are a helpful planning agent that can assist users in planning complex tasks which need multi-step browser interaction. """ planning_agent = ChatAgent( system_message=planning_system_prompt, model=planning_model, output_language=self.output_language, ) return web_agent, planning_agent
[docs] async def async_observe( self, task_prompt: str, detailed_plan: Optional[str] = None ) -> Tuple[str, str, str]: r"""Let agent observe the current environment, and get the next action.""" detailed_plan_prompt = "" if detailed_plan is not None: detailed_plan_prompt = f""" Here is a plan about how to solve the task step-by-step which you must follow: <detailed_plan>{detailed_plan}<detailed_plan> """ observe_prompt = f""" Please act as a web agent to help me complete the following high-level task: <task>{task_prompt}</task> Now, I have made screenshot (only the current viewport, not the full webpage) based on the current browser state, and marked interactive elements in the webpage. Please carefully examine the requirements of the task, and current state of the browser, and provide the next appropriate action to take. {detailed_plan_prompt} Here are the current available browser functions you can use: {AVAILABLE_ACTIONS_PROMPT} Here are the latest {self.history_window} trajectory (at most) you have taken: <history> {self.history[-self.history_window :]} </history> Your output should be in json format, including the following fields: - `observation`: The detailed image description about the current viewport. Do not over-confident about the correctness of the history actions. You should always check the current viewport to make sure the correctness of the next action. - `reasoning`: The reasoning about the next action you want to take, and the possible obstacles you may encounter, and how to solve them. Do not forget to check the history actions to avoid the same mistakes. - `action_code`: The action code you want to take. It is only one step action code, without any other texts (such as annotation) Here is two example of the output: ```json {{ "observation": [IMAGE_DESCRIPTION], "reasoning": [YOUR_REASONING], "action_code": "fill_input_id([ID], [TEXT])" }} {{ "observation": "The current page is a CAPTCHA verification page on Amazon. It asks the user to ..", "reasoning": "To proceed with the task of searching for products, I need to complete..", "action_code": "fill_input_id(3, 'AUXPMR')" }} Here are some tips for you: - Never forget the overall question: **{task_prompt}** - Maybe after a certain operation (e.g. click_id), the page content has not changed. You can check whether the action step is successful by looking at the `success` of the action step in the history. If successful, it means that the page content is indeed the same after the click. You need to try other methods. - If using one way to solve the problem is not successful, try other ways. Make sure your provided ID is correct! - Some cases are very complex and need to be achieve by an iterative process. You can use the `back()` function to go back to the previous page to try other methods. - There are many links on the page, which may be useful for solving the problem. You can use the `click_id()` function to click on the link to see if it is useful. - Always keep in mind that your action must be based on the ID shown in the current image or viewport, not the ID shown in the history. - Do not use `stop()` lightly. Always remind yourself that the image only shows a part of the full page. If you cannot find the answer, try to use functions like `scroll_up()` and `scroll_down()` to check the full content of the webpage before doing anything else, because the answer or next key step may be hidden in the content below. - If the webpage needs human verification, you must avoid processing it. Please use `back()` to go back to the previous page, and try other ways. - If you have tried everything and still cannot resolve the issue, please stop the simulation, and report issues you have encountered. - Check the history actions carefully, detect whether you have repeatedly made the same actions or not. - When dealing with wikipedia revision history related tasks, you need to think about the solution flexibly. First, adjust the browsing history displayed on a single page to the maximum, and then make use of the find_text_on_page function. This is extremely useful which can quickly locate the text you want to find and skip massive amount of useless information. - Flexibly use interactive elements like slide down selection bar to filter out the information you need. Sometimes they are extremely useful. ``` """ # noqa: E501 # get current state som_screenshot, _ = await self.browser.get_som_screenshot( save_image=True ) img = _reload_image(som_screenshot) message = BaseMessage.make_user_message( role_name='user', content=observe_prompt, image_list=[img] ) # Reset the history message of web_agent. self.web_agent.reset() resp = self.web_agent.step(message) resp_content = resp.msgs[0].content resp_dict = _parse_json_output(resp_content) observation_result: str = resp_dict.get("observation", "") reasoning_result: str = resp_dict.get("reasoning", "") action_code: str = resp_dict.get("action_code", "") if action_code and "(" in action_code and ")" not in action_code: action_match = re.search( r'"action_code"\s*:\s*[`"]([^`"]*\([^)]*\))[`"]', resp_content ) if action_match: action_code = action_match.group(1) else: logger.warning( f"Incomplete action_code detected: {action_code}" ) if action_code.startswith("fill_input_id("): parts = action_code.split(",", 1) if len(parts) > 1: id_part = ( parts[0].replace("fill_input_id(", "").strip() ) action_code = ( f"fill_input_id({id_part}, " f"'Please fill the text here.')" ) action_code = action_code.replace("`", "").strip() return observation_result, reasoning_result, action_code
[docs] async def async_act(self, action_code: str) -> Tuple[bool, str]: r"""Let agent act based on the given action code. Args: action_code (str): The action code to act. Returns: Tuple[bool, str]: A tuple containing a boolean indicating whether the action was successful, and the information to be returned. """ def _check_if_with_feedback(action_code: str) -> bool: r"""Check if the action code needs feedback.""" for action_with_feedback in ACTION_WITH_FEEDBACK_LIST: if action_with_feedback in action_code: return True return False def _fix_action_code(action_code: str) -> str: r"""Fix potential missing quotes in action code""" match = re.match(r'(\w+)\((.*)\)', action_code) if not match: return action_code func_name, args_str = match.groups() args = [] current_arg = "" in_quotes = False quote_char = None for char in args_str: if char in ['"', "'"]: if not in_quotes: in_quotes = True quote_char = char current_arg += char elif char == quote_char: in_quotes = False quote_char = None current_arg += char else: current_arg += char elif char == ',' and not in_quotes: args.append(current_arg.strip()) current_arg = "" else: current_arg += char if current_arg: args.append(current_arg.strip()) fixed_args = [] for arg in args: if ( (arg.startswith('"') and arg.endswith('"')) or (arg.startswith("'") and arg.endswith("'")) or re.match(r'^-?\d+(\.\d+)?$', arg) or re.match(r'^-?\d+\.?\d*[eE][-+]?\d+$', arg) or re.match(r'^0[xX][0-9a-fA-F]+$', arg) ): fixed_args.append(arg) else: fixed_args.append(f"'{arg}'") return f"{func_name}({', '.join(fixed_args)})" action_code = _fix_action_code(action_code) prefix = "self.browser." code = f"{prefix}{action_code}" async_flag = extract_function_name(action_code) in ASYNC_ACTIONS feedback_flag = _check_if_with_feedback(action_code) try: result = "Action was successful." if async_flag: temp_coroutine = eval(code) if feedback_flag: result = await temp_coroutine else: await temp_coroutine await asyncio.sleep(1) return True, result else: if feedback_flag: result = eval(code) else: exec(code) await asyncio.sleep(1) return True, result except Exception as e: await asyncio.sleep(1) return ( False, f"Error while executing the action {action_code}: {e}. " f"If timeout, please recheck whether you have provided the " f"correct identifier.", )
def _get_final_answer(self, task_prompt: str) -> str: r"""Get the final answer based on the task prompt and current browser state. It is used when the agent thinks that the task can be completed without any further action, and answer can be directly found in the current viewport. """ prompt = f""" We are solving a complex web task which needs multi-step browser interaction. After the multi-step observation, reasoning and acting with web browser, we think that the task is currently solved. Here are all trajectory we have taken: <history>{self.history}</history> Please find the final answer, or give valuable insights and founds (e.g. if previous actions contain downloading files, your output should include the path of the downloaded file) about the overall task: <task>{task_prompt}</task> """ # noqa: E501 message = BaseMessage.make_user_message( role_name='user', content=prompt, ) resp = self.web_agent.step(message) return resp.msgs[0].content def _task_planning(self, task_prompt: str, start_url: str) -> str: r"""Plan the task based on the given task prompt.""" # Here are the available browser functions we can # use: {AVAILABLE_ACTIONS_PROMPT} planning_prompt = f""" <task>{task_prompt}</task> According to the problem above, if we use browser interaction, what is the general process of the interaction after visiting the webpage `{start_url}`? Please note that it can be viewed as Partially Observable MDP. Do not over-confident about your plan. Please first restate the task in detail, and then provide a detailed plan to solve the task. """ # noqa: E501 message = BaseMessage.make_user_message( role_name='user', content=planning_prompt ) resp = self.planning_agent.step(message) return resp.msgs[0].content def _task_replanning( self, task_prompt: str, detailed_plan: str ) -> Tuple[bool, str]: r"""Replan the task based on the given task prompt. Args: task_prompt (str): The original task prompt. detailed_plan (str): The detailed plan to replan. Returns: Tuple[bool, str]: A tuple containing a boolean indicating whether the task needs to be replanned, and the replanned schema. """ # Here are the available browser functions we can # use: {AVAILABLE_ACTIONS_PROMPT} replanning_prompt = f""" We are using browser interaction to solve a complex task which needs multi-step actions. Here are the overall task: <overall_task>{task_prompt}</overall_task> In order to solve the task, we made a detailed plan previously. Here is the detailed plan: <detailed plan>{detailed_plan}</detailed plan> According to the task above, we have made a series of observations, reasonings, and actions. Here are the latest {self.history_window} trajectory (at most) we have taken: <history>{self.history[-self.history_window :]}</history> However, the task is not completed yet. As the task is partially observable, we may need to replan the task based on the current state of the browser if necessary. Now please carefully examine the current task planning schema, and our history actions, and then judge whether the task needs to be fundamentally replanned. If so, please provide a detailed replanned schema (including the restated overall task). Your output should be in json format, including the following fields: - `if_need_replan`: bool, A boolean value indicating whether the task needs to be fundamentally replanned. - `replanned_schema`: str, The replanned schema for the task, which should not be changed too much compared with the original one. If the task does not need to be replanned, the value should be an empty string. """ # noqa: E501 # Reset the history message of planning_agent. self.planning_agent.reset() resp = self.planning_agent.step(replanning_prompt) resp_dict = _parse_json_output(resp.msgs[0].content) if_need_replan = resp_dict.get("if_need_replan", False) replanned_schema = resp_dict.get("replanned_schema", "") if if_need_replan: return True, replanned_schema else: return False, replanned_schema
[docs] @dependencies_required("playwright") async def browse_url( self, task_prompt: str, start_url: str, round_limit: int = 12 ) -> str: r"""A powerful toolkit which can simulate the browser interaction to solve the task which needs multi-step actions. Args: task_prompt (str): The task prompt to solve. start_url (str): The start URL to visit. round_limit (int): The round limit to solve the task. (default: :obj:`12`). Returns: str: The simulation result to the task. """ self._reset() task_completed = False detailed_plan = self._task_planning(task_prompt, start_url) logger.debug(f"Detailed plan: {detailed_plan}") await self.browser.async_init() await self.browser.visit_page(start_url) for i in range(round_limit): observation, reasoning, action_code = await self.async_observe( task_prompt, detailed_plan ) logger.debug(f"Observation: {observation}") logger.debug(f"Reasoning: {reasoning}") logger.debug(f"Action code: {action_code}") if "stop" in action_code: task_completed = True trajectory_info = { "round": i, "observation": observation, "thought": reasoning, "action": action_code, "action_if_success": True, "info": None, "current_url": self.browser.get_url(), } self.history.append(trajectory_info) break else: success, info = await self.async_act(action_code) if not success: logger.warning(f"Error while executing the action: {info}") trajectory_info = { "round": i, "observation": observation, "thought": reasoning, "action": action_code, "action_if_success": success, "info": info, "current_url": self.browser.get_url(), } self.history.append(trajectory_info) # replan the task if necessary if_need_replan, replanned_schema = self._task_replanning( task_prompt, detailed_plan ) if if_need_replan: detailed_plan = replanned_schema logger.debug(f"Replanned schema: {replanned_schema}") if not task_completed: simulation_result = f""" The task is not completed within the round limit. Please check the last round {self.history_window} information to see if there is any useful information: <history>{self.history[-self.history_window:]}</history> """ else: simulation_result = self._get_final_answer(task_prompt) await self.browser.close() return simulation_result
[docs] def get_tools(self) -> List[FunctionTool]: return [FunctionTool(self.browse_url)]