diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..042dfb8cda0b9bf2d14835d5fc4130f04ee35495 Binary files /dev/null and b/.DS_Store differ diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..f432aa1dcfd1acd466d59b350cafbca7a4396bff 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,30 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212455.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212504.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212514.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212605.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212612.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212613.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212622.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212631.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212732.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212738.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212739.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212759.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212809.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212949.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212956.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_212957.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_213032.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_213042.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251103_213052.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251104_155252.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251104_155301.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251104_155302.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251104_155330.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251104_155340.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251106_144427.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251106_144436.png filter=lfs diff=lfs merge=lfs -text +logs/screenshot_20251106_144437.png filter=lfs diff=lfs merge=lfs -text diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b0fe7bae8bfb1cfe336658486528d66611cbf6d6 --- /dev/null +++ b/.github/workflows/main.yaml @@ -0,0 +1,49 @@ +# Copyright 2025 Google LLC +# +# 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. +name: CI Tests + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + test-pytest: + runs-on: ubuntu-latest + + strategy: + matrix: + python-version: ["3.10", "3.11"] + + steps: + - name: Check out repository + uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements.txt + + - name: Run pytest + run: | + pytest + diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..0a1d769d5b4132bb093c8f8661575ad3560e11e7 --- /dev/null +++ b/.gitignore @@ -0,0 +1,177 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc + +# Node stuff +node_modules/ diff --git a/.gradio/certificate.pem b/.gradio/certificate.pem new file mode 100644 index 0000000000000000000000000000000000000000..b85c8037f6b60976b2546fdbae88312c5246d9a3 --- /dev/null +++ b/.gradio/certificate.pem @@ -0,0 +1,31 @@ +-----BEGIN CERTIFICATE----- +MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw +TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh +cmNoIEdyb3VwMRUwEwYDVQQDEwxJU1JHIFJvb3QgWDEwHhcNMTUwNjA0MTEwNDM4 +WhcNMzUwNjA0MTEwNDM4WjBPMQswCQYDVQQGEwJVUzEpMCcGA1UEChMgSW50ZXJu +ZXQgU2VjdXJpdHkgUmVzZWFyY2ggR3JvdXAxFTATBgNVBAMTDElTUkcgUm9vdCBY +MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc +h77ct984kIxuPOZXoHj3dcKi/vVqbvYATyjb3miGbESTtrFj/RQSa78f0uoxmyF+ +0TM8ukj13Xnfs7j/EvEhmkvBioZxaUpmZmyPfjxwv60pIgbz5MDmgK7iS4+3mX6U +A5/TR5d8mUgjU+g4rk8Kb4Mu0UlXjIB0ttov0DiNewNwIRt18jA8+o+u3dpjq+sW +T8KOEUt+zwvo/7V3LvSye0rgTBIlDHCNAymg4VMk7BPZ7hm/ELNKjD+Jo2FR3qyH +B5T0Y3HsLuJvW5iB4YlcNHlsdu87kGJ55tukmi8mxdAQ4Q7e2RCOFvu396j3x+UC +B5iPNgiV5+I3lg02dZ77DnKxHZu8A/lJBdiB3QW0KtZB6awBdpUKD9jf1b0SHzUv +KBds0pjBqAlkd25HN7rOrFleaJ1/ctaJxQZBKT5ZPt0m9STJEadao0xAH0ahmbWn +OlFuhjuefXKnEgV4We0+UXgVCwOPjdAvBbI+e0ocS3MFEvzG6uBQE3xDk3SzynTn +jh8BCNAw1FtxNrQHusEwMFxIt4I7mKZ9YIqioymCzLq9gwQbooMDQaHWBfEbwrbw +qHyGO0aoSCqI3Haadr8faqU9GY/rOPNk3sgrDQoo//fb4hVC1CLQJ13hef4Y53CI +rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV +HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq +hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL +ubhzEFnTIZd+50xx+7LSYK05qAvqFyFWhfFQDlnrzuBZ6brJFe+GnY+EgPbk6ZGQ +3BebYhtF8GaV0nxvwuo77x/Py9auJ/GpsMiu/X1+mvoiBOv/2X/qkSsisRcOj/KK +NFtY2PwByVS5uCbMiogziUwthDyC3+6WVwW6LLv3xLfHTjuCvjHIInNzktHCgKQ5 +ORAzI4JMPJ+GslWYHb4phowim57iaztXOoJwTdwJx4nLCgdNbOhdjsnvzqvHu7Ur +TkXWStAmzOVyyghqpZXjFaH3pO3JLF+l+/+sKAIuvtd7u+Nxe5AW0wdeRlN8NwdC +jNPElpzVmbUq4JUagEiuTDkHzsxHpFKVK7q4+63SM1N95R1NbdWhscdCb+ZAJzVc +oyi3B43njTOQ5yOf+1CceWxG1bQVs5ZufpsMljq4Ui0/1lvh+wjChP4kqKOJ2qxq +4RgqsahDYVvTH9w7jXbyLeiNdd8XM2w9U/t7y0Ff/9yi0GE44Za4rF2LN9d11TPA +mRGunUHBcnWEvgJBQl9nJEiU0Zsnvgc/ubhPgXRR4Xq37Z0j4r7g1SgEEzwxA57d +emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc= +-----END CERTIFICATE----- diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000000000000000000000000000000000000..bc23aaed4bebbd0c9ca0b82a1059b9c8a15aa9c9 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,33 @@ +# How to contribute + +We'd love to accept your patches and contributions to this project. + +## Before you begin + +### Sign our Contributor License Agreement + +Contributions to this project must be accompanied by a +[Contributor License Agreement](https://cla.developers.google.com/about) (CLA). +You (or your employer) retain the copyright to your contribution; this simply +gives us permission to use and redistribute your contributions as part of the +project. + +If you or your current employer have already signed the Google CLA (even if it +was for a different project), you probably don't need to do it again. + +Visit to see your current agreements or to +sign a new one. + +### Review our community guidelines + +This project follows +[Google's Open Source Community Guidelines](https://opensource.google/conduct/). + +## Contribution process + +### Code reviews + +All submissions, including submissions by project members, require review. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2025 Google LLC + + 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. diff --git a/README.md b/README.md index 344df9c8c65a95a1e51f0989d30f780eb7a5be75..f674e432be2518b89f281d8ff5cf8d19553892a1 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,145 @@ --- -title: Computer Use Preview -emoji: 🐨 -colorFrom: gray -colorTo: gray +title: computer-use-preview +app_file: app.py sdk: gradio sdk_version: 5.49.1 -app_file: app.py -pinned: false --- +# Computer Use Preview + +## Quick Start + +This section will guide you through setting up and running the Computer Use Preview model, either the Gemini Developer API or Vertex AI. Follow these steps to get started. + +### 1. Installation + +**Clone the Repository** + +```bash +git clone https://github.com/google/computer-use-preview.git +cd computer-use-preview +``` + +**Set up Python Virtual Environment and Install Dependencies** + +```bash +python3 -m venv .venv +source .venv/bin/activate +pip install -r requirements.txt +``` + +**Install Playwright and Browser Dependencies** + +```bash +# Install system dependencies required by Playwright for Chrome +playwright install-deps chrome + +# Install the Chrome browser for Playwright +playwright install chrome +``` + +### 2. Configuration +You can get started using either the Gemini Developer API or Vertex AI. + +#### A. If using the Gemini Developer API: + +You need a Gemini API key to use the agent: + +```bash +export GEMINI_API_KEY="YOUR_GEMINI_API_KEY" +``` + +Or to add this to your virtual environment: + +```bash +echo 'export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"' >> .venv/bin/activate +# After editing, you'll need to deactivate and reactivate your virtual +# environment if it's already active: +deactivate +source .venv/bin/activate +``` + +Replace `YOUR_GEMINI_API_KEY` with your actual key. + +#### B. If using the Vertex AI Client: + +You need to explicitly use Vertex AI, then provide project and location to use the agent: + +```bash +export USE_VERTEXAI=true +export VERTEXAI_PROJECT="YOUR_PROJECT_ID" +export VERTEXAI_LOCATION="YOUR_LOCATION" +``` + +Or to add this to your virtual environment: + +```bash +echo 'export USE_VERTEXAI=true' >> .venv/bin/activate +echo 'export VERTEXAI_PROJECT="your-project-id"' >> .venv/bin/activate +echo 'export VERTEXAI_LOCATION="your-location"' >> .venv/bin/activate +# After editing, you'll need to deactivate and reactivate your virtual +# environment if it's already active: +deactivate +source .venv/bin/activate +``` + +Replace `YOUR_PROJECT_ID` and `YOUR_LOCATION` with your actual project and location. + +### 3. Running the Tool + +The primary way to use the tool is via the `main.py` script. + +**General Command Structure:** + +```bash +python main.py --query "Go to Google and type 'Hello World' into the search bar" +``` + +**Available Environments:** + +You can specify a particular environment with the ```--env ``` flag. Available options: + +- `playwright`: Runs the browser locally using Playwright. +- `browserbase`: Connects to a Browserbase instance. + +**Local Playwright** + +Runs the agent using a Chrome browser instance controlled locally by Playwright. + +```bash +python main.py --query="Go to Google and type 'Hello World' into the search bar" --env="playwright" +``` + +You can also specify an initial URL for the Playwright environment: + +```bash +python main.py --query="Go to Google and type 'Hello World' into the search bar" --env="playwright" --initial_url="https://www.google.com/search?q=latest+AI+news" +``` + +**Browserbase** + +Runs the agent using Browserbase as the browser backend. Ensure the proper Browserbase environment variables are set:`BROWSERBASE_API_KEY` and `BROWSERBASE_PROJECT_ID`. + +```bash +python main.py --query="Go to Google and type 'Hello World' into the search bar" --env="browserbase" +``` + +## Agent CLI + +The `main.py` script is the command-line interface (CLI) for running the browser agent. + +### Command-Line Arguments + +| Argument | Description | Required | Default | Supported Environment(s) | +|-|-|-|-|-| +| `--query` | The natural language query for the browser agent to execute. | Yes | N/A | All | +| `--env` | The computer use environment to use. Must be one of the following: `playwright`, or `browserbase` | No | N/A | All | +| `--initial_url` | The initial URL to load when the browser starts. | No | https://www.google.com | All | +| `--highlight_mouse` | If specified, the agent will attempt to highlight the mouse cursor's position in the screenshots. This is useful for visual debugging. | No | False (not highlighted) | `playwright` | + +### Environment Variables -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +| Variable | Description | Required | +|-|-|-| +| GEMINI_API_KEY | Your API key for the Gemini model. | Yes | +| BROWSERBASE_API_KEY | Your API key for Browserbase. | Yes (when using the browserbase environment) | +| BROWSERBASE_PROJECT_ID | Your Project ID for Browserbase. | Yes (when using the browserbase environment) | diff --git a/agent.py b/agent.py new file mode 100644 index 0000000000000000000000000000000000000000..ba3235d8e203bfc04e5430175e8e701113516614 --- /dev/null +++ b/agent.py @@ -0,0 +1,568 @@ +# Copyright 2025 Google LLC +# +# 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. +import os +from typing import Literal, Optional, Union, Any +from google import genai +from google.genai import types +import termcolor +from google.genai.types import ( + Part, + GenerateContentConfig, + Content, + Candidate, + FunctionResponse, + FinishReason, +) +import time +from rich.console import Console +from rich.table import Table + +from computers import EnvState, Computer + +MAX_RECENT_TURN_WITH_SCREENSHOTS = 5 +PREDEFINED_COMPUTER_USE_FUNCTIONS = [ + "open_web_browser", + "click_at", + "hover_at", + "type_text_at", + "scroll_document", + "scroll_at", + "wait_5_seconds", + "go_back", + "go_forward", + "search", + "navigate", + "key_combination", + "drag_and_drop", +] + + +console = Console() + +# Built-in Computer Use tools will return "EnvState". +# Custom provided functions will return "dict". +FunctionResponseT = Union[EnvState, dict] + + +def multiply_numbers(x: float, y: float) -> dict: + """Multiplies two numbers. + + Args: + x (float): The first number. + y (float): The second number. + + Returns: + dict: The result of multiplication. + """ + return {"result": x * y} + +# def multiply_numbers(x: float, y: float) -> dict: +# """Multiplies two numbers. + +# Args: +# x (float): The first number. +# y (float): The second number. + +# Returns: +# dict: The result of multiplication. +# """ +# return {"result": x * y} + +# 在从types.FunctionDeclaration.from_callable中创建函数声明时，这里的__doc__中所有信息都会被转化为description, 即使其风格符合google style, 但不会进行进一步的解析成参数和返回值的说明 +# 如果参数含义复杂需要在其中再补充一下说明 +def evaluate_answer(query: str, answer:str) -> None: + """ + Evaluates the answer based on the given query. + """ + return None + +class BrowserAgent: + def __init__( + self, + browser_computer: Computer, + query: str, + system_prompt: str, + model_name: str, + verbose: bool = True, + ): + self._browser_computer = browser_computer + self._query = query + self._model_name = model_name + self._verbose = verbose + self.final_reasoning = None + self._client = genai.Client( + api_key=os.environ.get("GEMINI_API_KEY"), + vertexai=os.environ.get("USE_VERTEXAI", "0").lower() in ["true", "1"], + project=os.environ.get("VERTEXAI_PROJECT"), + location=os.environ.get("VERTEXAI_LOCATION"), + ) + self._contents: list[Content] = [ + Content( + role="user", + parts=[ + Part(text=self._query), + ], + ) + ] + + # Exclude any predefined functions here. + excluded_predefined_functions = ["scroll_document"] # 先屏蔽使用这个滚动函数 + + # Add your own custom functions here. + custom_functions = [ + # For example: + types.FunctionDeclaration.from_callable( + client=self._client, callable=multiply_numbers + ) + ] + + + self._generate_content_config = GenerateContentConfig( + temperature=1, + top_p=0.95, + top_k=40, + max_output_tokens=8192, + tools=[ + types.Tool( + computer_use=types.ComputerUse( + environment=types.Environment.ENVIRONMENT_BROWSER, + excluded_predefined_functions=excluded_predefined_functions, + ), + ), + types.Tool(function_declarations=custom_functions), + ], + system_instruction=[system_prompt] # 定义system prompt + + ) + + def handle_action(self, action: types.FunctionCall) -> FunctionResponseT: + """Handles the action and returns the environment state.""" + if action.name == "open_web_browser": + return self._browser_computer.open_web_browser() + elif action.name == "click_at": + x = self.denormalize_x(action.args["x"]) + y = self.denormalize_y(action.args["y"]) + return self._browser_computer.click_at( + x=x, + y=y, + ) + elif action.name == "hover_at": + x = self.denormalize_x(action.args["x"]) + y = self.denormalize_y(action.args["y"]) + return self._browser_computer.hover_at( + x=x, + y=y, + ) + elif action.name == "type_text_at": + x = self.denormalize_x(action.args["x"]) + y = self.denormalize_y(action.args["y"]) + press_enter = action.args.get("press_enter", False) + clear_before_typing = action.args.get("clear_before_typing", True) + return self._browser_computer.type_text_at( + x=x, + y=y, + text=action.args["text"], + press_enter=press_enter, + clear_before_typing=clear_before_typing, + ) + elif action.name == "scroll_document": + return self._browser_computer.scroll_document(action.args["direction"]) + elif action.name == "scroll_at": + x = self.denormalize_x(action.args["x"]) + y = self.denormalize_y(action.args["y"]) + magnitude = action.args.get("magnitude", 800) + direction = action.args["direction"] + + if direction in ("up", "down"): + magnitude = self.denormalize_y(magnitude) + elif direction in ("left", "right"): + magnitude = self.denormalize_x(magnitude) + else: + raise ValueError("Unknown direction: ", direction) + return self._browser_computer.scroll_at( + x=x, y=y, direction=direction, magnitude=magnitude + ) + elif action.name == "wait_5_seconds": + return self._browser_computer.wait_5_seconds() + elif action.name == "go_back": + return self._browser_computer.go_back() + elif action.name == "go_forward": + return self._browser_computer.go_forward() + elif action.name == "search": + return self._browser_computer.search() + elif action.name == "navigate": + return self._browser_computer.navigate(action.args["url"]) + elif action.name == "key_combination": + return self._browser_computer.key_combination( + action.args["keys"].split("+") + ) + elif action.name == "drag_and_drop": + x = self.denormalize_x(action.args["x"]) + y = self.denormalize_y(action.args["y"]) + destination_x = self.denormalize_x(action.args["destination_x"]) + destination_y = self.denormalize_y(action.args["destination_y"]) + return self._browser_computer.drag_and_drop( + x=x, + y=y, + destination_x=destination_x, + destination_y=destination_y, + ) + # Handle the custom function declarations here. + elif action.name == multiply_numbers.__name__: + return multiply_numbers(x=action.args["x"], y=action.args["y"]) + else: + raise ValueError(f"Unsupported function: {action}") + + def get_model_response( + self, max_retries=5, base_delay_s=1 + ) -> types.GenerateContentResponse: + for attempt in range(max_retries): + try: + response = self._client.models.generate_content( + model=self._model_name, + contents=self._contents, + config=self._generate_content_config, + ) + return response # Return response on success + except Exception as e: + print(e) + if attempt < max_retries - 1: + delay = base_delay_s * (2**attempt) + message = ( + f"Generating content failed on attempt {attempt + 1}. " + f"Retrying in {delay} seconds...\n" + ) + termcolor.cprint( + message, + color="yellow", + ) + time.sleep(delay) + else: + termcolor.cprint( + f"Generating content failed after {max_retries} attempts.\n", + color="red", + ) + raise + + def get_text(self, candidate: Candidate) -> Optional[str]: + """Extracts the text from the candidate.""" + if not candidate.content or not candidate.content.parts: + return None + text = [] + # Gemini 在多模态的场景下，会分段返回内容，例如，除了text和function_call之外，也可能包含其他的部分. + # { + # "content": { + # "parts": [ + # {"text": "I’ll start by searching Google for relevant documentation."}, + # {"function_call": {...}}, + # {"text": "Now that I found it, here’s the explanation:"}, + # {"text": "In Python, decorators are higher-order functions..."} + # ] + # } + # } + for part in candidate.content.parts: + if part.text: + text.append(part.text) + return " ".join(text) or None + + def extract_function_calls(self, candidate: Candidate) -> list[types.FunctionCall]: + """Extracts the function call from the candidate.""" + if not candidate.content or not candidate.content.parts: + return [] + ret = [] + for part in candidate.content.parts: + if part.function_call: + ret.append(part.function_call) + return ret + + # reasoning, screenshot_base64, action, status, url + def run_one_iteration_modify(self): + # Generate a response from the model. + try: + response = self.get_model_response() + except Exception as e: + return "Error occurred", "COMPLETE", [] + + if not response.candidates: + return "No candidates in response", "COMPLETE", [] + + candidate = response.candidates[0] + if candidate.content: + self._contents.append(candidate.content) + + reasoning = self.get_text(candidate) + function_calls = self.extract_function_calls(candidate) + + if not function_calls: + self.final_reasoning = reasoning + return reasoning, "COMPLETE", [] + + # Process each function call and collect results + function_responses_list = [] + status = "CONTINUE" + + for function_call in function_calls: + try: + fc_result = self.handle_action(function_call) + + screenshot_base64 = "" + url = "" + response = {} + if isinstance(fc_result, EnvState): # 浏览器操作事件 + screenshot_base64 = fc_result.screenshot + url = fc_result.url + response = {"url": url} + function_response = FunctionResponse( + name=function_call.name, + response={"url": url}, + parts=[types.FunctionResponsePart( + inline_data=types.FunctionResponseBlob( + mime_type="image/png", data=screenshot_base64 + ) + )] + ) + self._contents.append(Content( + role="user", + parts=[Part(function_response=function_response)], + )) + elif isinstance(fc_result, dict): # 自定义函数 + response = fc_result + self._contents.append(Content( + role="user", + parts=[Part(function_response=FunctionResponse( + name=function_call.name, + response=fc_result + ))], + )) + + # Add to function_responses_list + function_responses_list.append({ + "screenshot": screenshot_base64, + "action": function_call.name, + "response": response, + }) + + except Exception as e: + return f"Error handling action {function_call.name}: {str(e)}", "COMPLETE", function_responses_list + + # only keep screenshots in the few most recent turns, remove the screenshot images from the old turns. + turn_with_screenshots_found = 0 + for content in reversed(self._contents): + if content.role == "user" and content.parts: + # check if content has screenshot of the predefined computer use functions. + has_screenshot = False + for part in content.parts: + if ( + part.function_response + and part.function_response.parts + and part.function_response.name + in PREDEFINED_COMPUTER_USE_FUNCTIONS + ): + has_screenshot = True + break + + if has_screenshot: + turn_with_screenshots_found += 1 + # remove the screenshot image if the number of screenshots exceed the limit. + if turn_with_screenshots_found > MAX_RECENT_TURN_WITH_SCREENSHOTS: + for part in content.parts: + if ( + part.function_response + and part.function_response.parts + and part.function_response.name + in PREDEFINED_COMPUTER_USE_FUNCTIONS + ): + part.function_response.parts = None + + return reasoning, status, function_responses_list + + def run_one_iteration(self) -> Literal["COMPLETE", "CONTINUE"]: + + # Generate a response from the model. + if self._verbose: + with console.status( + "Generating response from Gemini Computer Use...", spinner_style=None + ): + try: + response = self.get_model_response() + except Exception as e: + return "COMPLETE" + else: + try: + response = self.get_model_response() + except Exception as e: + return "COMPLETE" + + if not response.candidates: + print("Response has no candidates!") + print(response) + raise ValueError("Empty response") + + # Extract the text and function call from the response. + candidate = response.candidates[0] + # Append the model turn to conversation history. + if candidate.content: + self._contents.append(candidate.content) + + reasoning = self.get_text(candidate) + function_calls = self.extract_function_calls(candidate) + + # Retry the request in case of malformed FCs. + if ( + not function_calls + and not reasoning + and candidate.finish_reason == FinishReason.MALFORMED_FUNCTION_CALL + ): + return "CONTINUE" + + if not function_calls: + print(f"Agent Loop Complete: {reasoning}") + self.final_reasoning = reasoning + return "COMPLETE" + + function_call_strs = [] + for function_call in function_calls: + # Print the function call and any reasoning. + function_call_str = f"Name: {function_call.name}" + if function_call.args: + function_call_str += f"\nArgs:" + for key, value in function_call.args.items(): + function_call_str += f"\n {key}: {value}" + function_call_strs.append(function_call_str) + + table = Table(expand=True) + table.add_column( + "Gemini Computer Use Reasoning", header_style="magenta", ratio=1, + no_wrap=False, # 允许换行 + overflow="fold", # 超出部分折行显示 + ) + table.add_column("Function Call(s)", header_style="cyan", ratio=1) + table.add_row(reasoning, "\n".join(function_call_strs)) + if self._verbose: + console.print(table) + print() + + function_responses = [] + for function_call in function_calls: + extra_fr_fields = {} + if function_call.args and ( + safety := function_call.args.get("safety_decision") + ): + decision = self._get_safety_confirmation(safety) + if decision == "TERMINATE": + print("Terminating agent loop") + return "COMPLETE" + # Explicitly mark the safety check as acknowledged. + extra_fr_fields["safety_acknowledgement"] = "true" + if self._verbose: + with console.status( + "Sending command to Computer...", spinner_style=None + ): + fc_result = self.handle_action(function_call) + else: + fc_result = self.handle_action(function_call) + if isinstance(fc_result, EnvState): + function_responses.append( + FunctionResponse( + name=function_call.name, + response={ + "url": fc_result.url, + **extra_fr_fields, + }, + parts=[ + types.FunctionResponsePart( + inline_data=types.FunctionResponseBlob( + mime_type="image/png", data=fc_result.screenshot + ) + ) + ], + ) + ) + elif isinstance(fc_result, dict): + function_responses.append( + FunctionResponse(name=function_call.name, response=fc_result) + ) + + self._contents.append( + Content( + role="user", + parts=[Part(function_response=fr) for fr in function_responses], + ) + ) + + # only keep screenshots in the few most recent turns, remove the screenshot images from the old turns. + turn_with_screenshots_found = 0 + for content in reversed(self._contents): + if content.role == "user" and content.parts: + # check if content has screenshot of the predefined computer use functions. + has_screenshot = False + for part in content.parts: + if ( + part.function_response + and part.function_response.parts + and part.function_response.name + in PREDEFINED_COMPUTER_USE_FUNCTIONS + ): + has_screenshot = True + break + + if has_screenshot: + turn_with_screenshots_found += 1 + # remove the screenshot image if the number of screenshots exceed the limit. + if turn_with_screenshots_found > MAX_RECENT_TURN_WITH_SCREENSHOTS: + for part in content.parts: + if ( + part.function_response + and part.function_response.parts + and part.function_response.name + in PREDEFINED_COMPUTER_USE_FUNCTIONS + ): + part.function_response.parts = None + + return "CONTINUE" + + def _get_safety_confirmation( + self, safety: dict[str, Any] + ) -> Literal["CONTINUE", "TERMINATE"]: + if safety["decision"] != "require_confirmation": + raise ValueError(f"Unknown safety decision: safety['decision']") + termcolor.cprint( + "Safety service requires explicit confirmation!", + color="yellow", + attrs=["bold"], + ) + print(safety["explanation"]) + decision = "" + while decision.lower() not in ("y", "n", "ye", "yes", "no"): + decision = input("Do you wish to proceed? [Yes]/[No]\n") + if decision.lower() in ("n", "no"): + return "TERMINATE" + return "CONTINUE" + + def agent_loop(self): + status = "CONTINUE" + while status == "CONTINUE": + status = self.run_one_iteration() + + def agent_loop_yield(self): + status = "CONTINUE" + while status == "CONTINUE": + reasoning, status, function_responses_list = self.run_one_iteration_modify() + yield reasoning, status, function_responses_list + + def denormalize_x(self, x: int) -> int: + return int(x / 1000 * self._browser_computer.screen_size()[0]) + + def denormalize_y(self, y: int) -> int: + return int(y / 1000 * self._browser_computer.screen_size()[1]) diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..0b91c5da1708028ba05c0f6e08aa033472673b99 --- /dev/null +++ b/app.py @@ -0,0 +1,200 @@ +import gradio as gr +import time +import base64 +from datetime import datetime +import argparse +import os + +from agent import BrowserAgent +from computers import BrowserbaseComputer, PlaywrightComputer +import base64 +import sys + +sys.path.append(os.path.dirname(__file__)) + +from prompt import prompt_options + +PLAYWRIGHT_SCREEN_SIZE = (1440, 900) + +os.environ["PLAYWRIGHT_HEADLESS"] = "false" + +def run_genflow(query:str, prompt:str = ""): + env = PlaywrightComputer( + screen_size=PLAYWRIGHT_SCREEN_SIZE, + initial_url="https://wenku.baidu.com/ndcore/browse/aiunion?fr=options_AIcard_1&_wkts_=1761290807747&bdQuery=genflow&t=1761290807744&tabType=genflow&aiCreat=genflow", + # initial_url="https://www.doubao.com/chat/", + highlight_mouse=True, # 如果指定，代理将尝试在屏幕截图中突出显示鼠标光标的位置。这对于可视化调试很有用。 + ) + # query="在提示文本为'输入问题，交给GenFlow的'搜索条中输入‘百度’，点击发送按钮", + + prompt = "GenFlow是一个AI聊天机器人。你需要作为测试员，在它的网页底部搜索栏中输入用户提交的问题, 并且观察其输出结果。" + prompt + prompt += """ +GenFlow 返回的内容可能比较长，你可以多次执行'scroll_at'操作来查看网页中它返回的上下文。 +GenFlow 有时会呈现左边主页面，右边预览区域。在这种情况下执行'scroll_at'的时候你要注意鼠标位置。 +通过反复的滚动，确保主页面和预览区域已经滚动到底。预览区域往往很长，所以你需要多次执行'scroll_at'操作，确保2次滚动操作看到的网页完全一样为止, 给出最终客观评价. + +GenFlow 一定会给出'输出结果'，请保持足够的耐心！ +**无论输入的语言是什么，你需要输出中文**""" + # print(prompt) + with env as browser_computer: + agent = BrowserAgent( + browser_computer=browser_computer, + query=query, + system_prompt=prompt, + model_name='gemini-2.5-computer-use-preview-10-2025', + ) + # reasoning, status, function_responses_list + for step in agent.agent_loop_yield(): + # print(step) + # input("☕️") + yield step + +# === 处理用户查询 === +def process_user_query(query, prompt=""): + if not query.strip(): + yield [], "请输入有效的查询", "

无执行步骤

" + return + + steps = [] + + for reasoning, status, function_responses_list in run_genflow(query, prompt): + # 每个 function_responses_list 是若干个 ["screenshot", "action", "response"] + sub_steps = [] + for item in function_responses_list: + if len(item) == 3: + screenshot_base64, action, response = item["screenshot"], item["action"], item["response"] + else: + screenshot_base64, action, response = "", "未知操作", "" + + sub_steps.append({ + "screenshot": f"data:image/png;base64,{base64.b64encode(screenshot_base64).decode("utf-8")}" if screenshot_base64 else "", + "action": action, + "response": response, + }) + + step = { + "step": len(steps) + 1, + "reasoning": reasoning, + "status": status, + "functions": sub_steps, # ✅ 支持多个函数结果 + } + steps.append(step) + display_html = update_steps_display(steps) + yield steps, f"正在执行第 {len(steps)} 步: {status}", display_html + time.sleep(0.3) + + yield steps, f"任务完成！共执行 {len(steps)} 步。", update_steps_display(steps) + +# === 更新步骤展示的 HTML === +def update_steps_display(steps): + """以HTML格式显示每一步的推理、函数动作及截图""" + if not steps: + return "

暂无执行步骤

" + + html = "
" + for step in steps: + status_color = { + "COMPLETE": "green", + "CONTINUE": "orange", + "FAILURE": "red", + }.get(step["status"], "black") + + html += f""" +
+
+

步骤 {step['step']}

+ {step['status']} +
+

推理: {step['reasoning']}

+ """ + + # ✅ 支持多个函数动作展示 + for idx, func in enumerate(step["functions"], start=1): + # print(func) + html += f""" +
+

函数调用 {idx}:

+

动作: {func['action']}

+

返回: {func['response']}

+ """ + if func["screenshot"]: + html += f"" + html += "
" + + html += "
" # 结束step块 + html += "
" + return html + + + +def resolve_prompt(selected_value): + """如果选择的是预定义 key，则返回对应 value，否则直接返回用户输入""" + if selected_value in prompt_options: + return prompt_options[selected_value] + return selected_value or "" + +# === 创建 Gradio 界面 === +def create_demo_interface(): + with gr.Blocks(title="CUA 在线试用系统", theme=gr.themes.Soft()) as demo: + gr.Markdown(""" +
+

🧭 CUA 在线试用系统

+

+ 输入一个任务描述，Agent 将自动进行 genflow 中浏览、截图、分析并执行下一步操作。 +

+
+""") + + with gr.Row(): + with gr.Column(scale=1): + query_input = gr.Textbox( + label="需要在 genflow 中测试的问题", + placeholder="例如：帮我搜索AI新闻 / 购买一台笔记本电脑", + lines=2) + + prompt_dropdown = gr.Dropdown( + label="选择或在右侧系统提示词中输入评估标准", + choices=list(prompt_options.keys()), + value=None, + allow_custom_value=False, # ✅ 允许用户手动输入文本 + ) + submit_btn = gr.Button("开始执行", variant="primary") + + with gr.Column(scale=2): + status_output = gr.Textbox(label="执行状态", interactive=False) + final_prompt = gr.Textbox(label="系统提示词", interactive=True,lines=5) + # 按钮或自动触发逻辑 + prompt_dropdown.change(resolve_prompt, inputs=prompt_dropdown, outputs=final_prompt) + + + + + # ✅ 把详细执行过程放在 JSON 前面 + with gr.Accordion("详细执行过程", open=True): + steps_display = gr.HTML() + + # 再放执行步骤 JSON + steps_output = gr.JSON(label="执行步骤详情（JSON）") + + # 流式输出绑定 + submit_btn.click( + fn=process_user_query, + inputs=[query_input, final_prompt], + outputs=[steps_output, status_output, steps_display], + api_name="run_agent", + show_progress=True, + queue=True, # 支持流式输出 + ) + + return demo + + + +if __name__ == "__main__": + demo = create_demo_interface() + demo.queue() # 必须启用 queue 才能支持 yield + demo.launch( + server_name="0.0.0.0", + server_port=7860, + share=True, + ) diff --git a/cache/.DS_Store b/cache/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..a31446b8982e585b150ab0f3d9368807fc602ef3 Binary files /dev/null and b/cache/.DS_Store differ diff --git a/cache/user_data/state.json b/cache/user_data/state.json new file mode 100644 index 0000000000000000000000000000000000000000..659990aaed481376545cea58a7658ee39c3cecb3 --- /dev/null +++ b/cache/user_data/state.json @@ -0,0 +1 @@ +{"cookies": [{"name": "HMACCOUNT", "value": "38C300CFD6805FA4", "domain": ".wenku.baidu.com", "path": "/ndcore/browse/aiunion/", "expires": -1, "httpOnly": false, "secure": false, "sameSite": "Lax"}, {"name": "Hm_lvt_4fbbee5fb2fd1d3e6c51ad50dd936eb3", "value": 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top_brandSearch_msg_reachEnd\":\"\u5df2\u7ecf\u5230\u5e95\u4e86\",\"desktop_brandSearch_tabName\":\"{s_keyword} 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SSO \u767b\u5f55\uff0c\u9700\u8981\u7ed1\u5b9a\u624b\u673a\u53f7\u624d\u80fd\u7ee7\u7eed\",\"enterprise_sso_bindPhone_header\":\"\u7ed1\u5b9a\u624b\u673a\u53f7\",\"enterprise_sso_bindPhone_toast_bound\":\"\u7ed1\u5b9a\u6210\u529f\",\"enterprise_status_loading\":\"\u6b63\u5728\u52a0\u8f7d\u4e2d\",\"enterprise_switchAccount_restart_btn\":\"\u7acb\u5373\u91cd\u542f\",\"enterprise_switchAccount_restart_desc\":\"\u8c46\u5305\u5373\u5c06\u5728 {s_second} 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MB\",\"skill_dataAnalysis_input_placeholder\":\"\u8bf7\u8f93\u5165\u5bf9\u4e8e\u4e0a\u4f20\u6570\u636e\u7684\u4efb\u4f55\u5206\u6790\u5904\u7406\u8981\u6c42\",\"skill_dataAnalysis_prompt1\":\"\u8be6\u7ec6\u5206\u6790\u6570\u636e\uff0c\u751f\u6210\u5206\u6790\u62a5\u544a\",\"skill_dataAnalysis_prompt2\":\"\u6839\u636e\u6570\u636e\u7ed8\u5236\u4e09\u5f20\u53ef\u89c6\u5316\u56fe\u8868\",\"skill_dataAnalysis_title\":\"\u6570\u636e\u5206\u6790\",\"skill_dataAnalysis_title_short\":\"\u6570\u636e\u5206\u6790\",\"skill_image_3d_example_12_prompt\":\"\u4e00\u53ea\u72d7\u7a7f\u7740\u4e2d\u56fd\u6b66\u672f\u670d\u88c5\uff0c\u5728\u642c\u7816\u5934\uff0c\u8272\u5f69\u4f4e\u8c03\uff0c\u62df\u4eba\u8bbe\u8ba1\uff0c\u6b66\u672f\u59ff\u52bf\uff0c\u6ce5\u571f\u8d28\u611f\uff0c3D\u98ce\u683c\uff0c\u52a8\u6001\u5149\u6548\uff0c\u9ad8\u5ea6\u7ec6\u8282\u5316\",\"skill_image_3d_example_12_prompt_withParams\":\"\u4e00\u53ea\u72d7\u7a7f\u7740\u4e2d\u56fd\u6b66\u672f\u670d\u88c5\uff0c\u5728\u642c\u7816\u5934\uff0c\u8272\u5f69\u4f4e\u8c03\uff0c\u62df\u4eba\u8bbe\u8ba1\uff0c\u6b66\u672f\u59ff\u52bf\uff0c\u6ce5\u571f\u8d28\u611f\uff0c3D\u98ce\u683c\uff0c\u52a8\u6001\u5149\u6548\uff0c\u9ad8\u5ea6\u7ec6\u8282\u5316\",\"skill_image_3d_example_13_prompt\":\"\u4e00\u4e2a\u76f8\u6846\u91cc\u7684\u52a8\u7269\u56ed\u7684\u52a8\u7269\u5408\u7167\uff0c\u6240\u6709\u52a8\u7269\u90fd\u662f\u7528\u4f53\u7d20\u6784\u5efa\u7684\uff0c\u5b83\u4eec\u4e0d\u4ec5\u5916\u89c2\u72ec\u7279\u53ef\u7231\uff0c\u8fd8\u80fd\u5c55\u73b0\u51fa\u81ea\u7136\u7684\u884c\u4e3a\u548c\u4e92\u52a8\u3002\u6298\u7eb8\uff0c\u4f4e\u591a\u8fb9\u5f62\u5efa\u6a21\uff0c\u52a8\u7269\u4e16\u754c\uff0c\u5b8c\u7f8e\u7684\u6784\u56fe\",\"skill_image_3d_example_13_prompt_withParams\":\"\u4e00\u4e2a\u76f8\u6846\u91cc\u7684\u52a8\u7269\u56ed\u7684\u52a8\u7269\u5408\u7167\uff0c\u6240\u6709\u52a8\u7269\u90fd\u662f\u7528\u4f53\u7d20\u6784\u5efa\u7684\uff0c\u5b83\u4eec\u4e0d\u4ec5\u5916\u89c2\u72ec\u7279\u53ef\u7231\uff0c\u8fd8\u80fd\u5c55\u73b0\u51fa\u81ea\u7136\u7684\u884c\u4e3a\u548c\u4e92\u52a8\u3002\u6298\u7eb8\uff0c\u4f4e\u591a\u8fb9\u5f62\u5efa\u6a21\uff0c\u52a8\u7269\u4e16\u754c\uff0c\u5b8c\u7f8e\u7684\u6784\u56fe\",\"skill_image_3d_example_14_prompt\":\"\u4e00\u4e2a\u7537\u4eba\u7684\u81ea\u753b\u50cf\u7c98\u571f\uff0c\u62ff\u7740\u4e00\u4e2a\u68d2\u68d2\u7cd6\uff0c\u5728\u5bb6\u91cc\u624b\u5de5\u827a\u54c1\uff0c\u9ad8\u8fa8\u8bc6\u5ea6\uff0c\u9ad8\u5dee\u5f02\u5316\uff0c\u89d2\u8272\u8bbe\u8ba1\uff0cC4D, \u8f7b\u7c98\u571f\",\"skill_image_3d_example_14_prompt_withParams\":\"\u4e00\u4e2a\u7537\u4eba\u7684\u81ea\u753b\u50cf\u7c98\u571f\uff0c\u62ff\u7740\u4e00\u4e2a\u68d2\u68d2\u7cd6\uff0c\u5728\u5bb6\u91cc\u624b\u5de5\u827a\u54c1\uff0c\u9ad8\u8fa8\u8bc6\u5ea6\uff0c\u9ad8\u5dee\u5f02\u5316\uff0c\u89d2\u8272\u8bbe\u8ba1\uff0cC4D, \u8f7b\u7c98\u571f\",\"skill_image_3d_example_15_prompt\":\"\u5de8\u5927\u7684\u5723\u8bde\u6811\u4e0b\u9762\u653e\u7740\u8bb8\u591a\u793c\u7269\uff0c\u68a6\u5e7b\u7684\u7c89\u8272\u661f\u7403\uff0c\u4e73\u767d\u8272\u4e91\u6735\uff0c\u5efa\u6a21\u6e32\u67d3\uff0c\u8d85\u7cbe\u7ec6\uff0c\u8d85\u5199\u5b9e\uff0cC4D\",\"skill_image_3d_example_15_prompt_withParams\":\"\u5de8\u5927\u7684\u5723\u8bde\u6811\u4e0b\u9762\u653e\u7740\u8bb8\u591a\u793c\u7269\uff0c\u68a6\u5e7b\u7684\u7c89\u8272\u661f\u7403\uff0c\u4e73\u767d\u8272\u4e91\u6735\uff0c\u5efa\u6a21\u6e32\u67d3\uff0c\u8d85\u7cbe\u7ec6\uff0c\u8d85\u5199\u5b9e\uff0cC4D\",\"skill_image_3d_example_16_prompt\":\"\u4e00\u4e2a\u53ef\u7231\u7684\u5973\u5b69\u6234\u7740\u58a8\u955c\u5750\u5728\u5207\u597d\u7684\u5927\u7247\u897f\u74dc\u4e0a\uff0c\u5403\u897f\u74dc\uff0c\u5361\u901a\u4eba\u7269\u8bbe\u8ba1\uff0c\u5728\u660e\u4eae\u7684\u7eff\u8272\u73af\u5883\u4e2d\uff0c\u80cc\u666f\u662f\u7528\u5706\u5f62\u62fc\u6210\u7684\u6811\u6797\uff0cBlender\u6e32\u67d3\uff0c\u67d4\u548c\u7684\u706f\u5149\uff0c\u98ce\u683c3D\",\"skill_image_3d_example_16_prompt_withParams\":\"\u4e00\u4e2a\u53ef\u7231\u7684\u5973\u5b69\u6234\u7740\u58a8\u955c\u5750\u5728\u5207\u597d\u7684\u5927\u7247\u897f\u74dc\u4e0a\uff0c\u5403\u897f\u74dc\uff0c\u5361\u901a\u4eba\u7269\u8bbe\u8ba1\uff0c\u5728\u660e\u4eae\u7684\u7eff\u8272\u73af\u5883\u4e2d\uff0c\u80cc\u666f\u662f\u7528\u5706\u5f62\u62fc\u6210\u7684\u6811\u6797\uff0cBlender\u6e32\u67d3\uff0c\u67d4\u548c\u7684\u706f\u5149\uff0c\u98ce\u683c3D\",\"skill_image_3d_example_17_prompt\":\"\u6bdb\u7ed2\u8d28\u611f\u7684\u592a\u9633\u82b1\uff0c\u82b1\u74e3\u8d85\u5de8\u5927\uff0c\u590f\u65e5\uff0c\u6e05\u65b0\uff0c\u6cbb\u6108\u5fc3\u60c5\u7684\u8272\u5f69\uff0c C4D\u6bdb\u7ed2\u6750\u8d28 \uff0c\u8d85\u6e05\u6670\uff0c\u7279\u5199\u82b1\u854a\uff0c\u865a\u5316\",\"skill_image_3d_example_17_prompt_withParams\":\"\u6bdb\u7ed2\u8d28\u611f\u7684\u592a\u9633\u82b1\uff0c\u82b1\u74e3\u8d85\u5de8\u5927\uff0c\u590f\u65e5\uff0c\u6e05\u65b0\uff0c\u6cbb\u6108\u5fc3\u60c5\u7684\u8272\u5f69\uff0c C4D\u6bdb\u7ed2\u6750\u8d28 \uff0c\u8d85\u6e05\u6670\uff0c\u7279\u5199\u82b1\u854a\uff0c\u865a\u5316\",\"skill_image_3d_example_18_prompt\":\"\u6bdb\u6be1\u827a\u672f\uff0c\u7f8a\u6bdb\u6be1\u5a03\u5a03\uff0c\u5584\u826f\u7684\u7237\u7237\uff0c\u84dd\u8272\u7c73\u9ec4\u8272\u7684\u8863\u670d\uff0c\u8d85\u9ad8\u6e05\u753b\u8d28\",\"skill_image_3d_example_18_prompt_withParams\":\"\u6bdb\u6be1\u827a\u672f\uff0c\u7f8a\u6bdb\u6be1\u5a03\u5a03\uff0c\u5584\u826f\u7684\u7237\u7237\uff0c\u84dd\u8272\u7c73\u9ec4\u8272\u7684\u8863\u670d\uff0c\u8d85\u9ad8\u6e05\u753b\u8d28\",\"skill_image_3d_example_19_prompt\":\"\u5728\u7eff\u8349\u5730\u4e0a\u4f7f\u7528\u62d6\u8f66\u548c\u8f66\u8f86\u8fdb\u884c\u5e7f\u544a\u5ba3\u4f20\uff0c\u8f66\u5185\u3001\u5c0f\u5546\u5e97\u91cc\u6709\u4ea7\u54c1\uff0c\u53ef\u7231\u7684\u5361\u901a\u8bbe\u8ba1\uff0c\u67d4\u8f6f\u7684\u96d5\u5851\uff0c\u9c9c\u8273\u7684\u8272\u5f69\uff0c\u5927\u80c6\u7684\u5f62\u72b6\uff0c\u82b1\u6735\uff0c\u7cbe\u81f4\u7684\u5149\u6cfd\uff0c\u9633\u5149\u660e\u5a9a\uff0c\u9c9c\u8273\u7684\u914d\u8272\uff0c\u8d85\u9ad8\u7684\u8d28\u91cf\uff0c\u524d\u666f\u6a21\u7cca\uff0c\u98ce\u683c3D\uff0c\",\"skill_image_3d_example_19_prompt_withParams\":\"\u5728\u7eff\u8349\u5730\u4e0a\u4f7f\u7528\u62d6\u8f66\u548c\u8f66\u8f86\u8fdb\u884c\u5e7f\u544a\u5ba3\u4f20\uff0c\u8f66\u5185\u3001\u5c0f\u5546\u5e97\u91cc\u6709\u4ea7\u54c1\uff0c\u53ef\u7231\u7684\u5361\u901a\u8bbe\u8ba1\uff0c\u67d4\u8f6f\u7684\u96d5\u5851\uff0c\u9c9c\u8273\u7684\u8272\u5f69\uff0c\u5927\u80c6\u7684\u5f62\u72b6\uff0c\u82b1\u6735\uff0c\u7cbe\u81f4\u7684\u5149\u6cfd\uff0c\u9633\u5149\u660e\u5a9a\uff0c\u9c9c\u8273\u7684\u914d\u8272\uff0c\u8d85\u9ad8\u7684\u8d28\u91cf\uff0c\u524d\u666f\u6a21\u7cca\uff0c\u98ce\u683c3D\uff0c\",\"skill_image_3d_example_20_prompt\":\"\u4e00\u53ea\u9ec4\u8272\u4eba\u578b\u5927\u5934\u9752\u86d9\uff0c\u7a7f\u7740\u536b\u8863\uff0c\u53cc\u624b\u63d2\u888b\uff0c\u4fa7\u8eab\uff0c\u9ec4\u8272\u80cc\u666f\uff0c\u7ebf\u6761\u6e05\u6670\uff0c3D\u63d2\u753b\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_3d_example_20_prompt_withParams\":\"\u4e00\u53ea\u9ec4\u8272\u4eba\u578b\u5927\u5934\u9752\u86d9\uff0c\u7a7f\u7740\u536b\u8863\uff0c\u53cc\u624b\u63d2\u888b\uff0c\u4fa7\u8eab\uff0c\u9ec4\u8272\u80cc\u666f\uff0c\u7ebf\u6761\u6e05\u6670\uff0c3D\u63d2\u753b\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_add_feature_words\":\"\u7279\u5f81\u8bcd\",\"skill_image_add_imageDetails\":\"\u7279\u5f81\u8bcd\",\"skill_image_ar_16_9\":\"\u684c\u9762\u58c1\u7eb8\uff0c\u5168\u666f\",\"skill_image_ar_1_1\":\"\u6b63\u65b9\u5f62\uff0c\u5934\u50cf\",\"skill_image_ar_2_3\":\"\u793e\u4ea4\u5a92\u4f53\uff0c\u8096\u50cf\",\"skill_image_ar_4_3\":\"\u6587\u7ae0\u56fe\u7247\uff0c\u98ce\u666f\",\"skill_image_ar_9_16\":\"\u624b\u673a\u58c1\u7eb8\",\"skill_image_chineseIllustration_example_10_prompt\":\"\u7389\u96d5\uff0c\u9ec4\u9e64\u697c\uff0c\u5c06\u738b\u5e0c\u5b5f\u7684\u5c71\u6c34\u7cbe\u9ad3\u4e0e\u591a\u5c42\u526a\u7eb8\u827a\u672f\u3001\u91d1\u9576\u7389\u96d5\u523b\u7ed3\u5408\u3002\u53ea\u6709\u9ec4\u9e64\u697c\u662f\u91d1\u9576\u7684\uff0c\u5176\u4ed6\u90fd\u662f\u767d\u8272\uff0c\u91d1\u767d\u7389\u96d5\u523b\u7684\u767d\u4e91\uff0c\u96d5\u523b\u7684\u5efa\u7b51\u4e0e\u5c71\u5cf0\uff0c\u6d45\u8272\u80cc\u666f\uff0cC4D\uff0c\u6570\u5b57\u827a\u672f\uff0c\u6781\u81f4\u7684\u5149\u7ebf\uff0c\u8d85\u9ad8\u6e05\",\"skill_image_chineseIllustration_example_10_prompt_withParams\":\"\u7389\u96d5\uff0c\u9ec4\u9e64\u697c\uff0c\u5c06\u738b\u5e0c\u5b5f\u7684\u5c71\u6c34\u7cbe\u9ad3\u4e0e\u591a\u5c42\u526a\u7eb8\u827a\u672f\u3001\u91d1\u9576\u7389\u96d5\u523b\u7ed3\u5408\u3002\u53ea\u6709\u9ec4\u9e64\u697c\u662f\u91d1\u9576\u7684\uff0c\u5176\u4ed6\u90fd\u662f\u767d\u8272\uff0c\u91d1\u767d\u7389\u96d5\u523b\u7684\u767d\u4e91\uff0c\u96d5\u523b\u7684\u5efa\u7b51\u4e0e\u5c71\u5cf0\uff0c\u6d45\u8272\u80cc\u666f\uff0cC4D\uff0c\u6570\u5b57\u827a\u672f\uff0c\u6781\u81f4\u7684\u5149\u7ebf\uff0c\u8d85\u9ad8\u6e05\",\"skill_image_chineseIllustration_example_11_prompt\":\"\u5c71\uff0c\u5c0f\u6865\uff0c\u6d41\u6c34\uff0c\u9752\u5c71\uff0c\u5c3d\u6536\u773c\u5e95\uff0c\u56fd\u6f6e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u502a\u4f20\u5a67\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_11_prompt_withParams\":\"\u5c71\uff0c\u5c0f\u6865\uff0c\u6d41\u6c34\uff0c\u9752\u5c71\uff0c\u5c3d\u6536\u773c\u5e95\uff0c\u56fd\u6f6e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u502a\u4f20\u5a67\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_12_prompt\":\"\u8d77\u821e\u7684\u5973\u5b69\uff0c\u5149\u4e0e\u5f71\uff0c\u4f18\u96c5\u52a8\u4f5c\uff0c\u9ad8\u54c1\u8d28\uff0c\u62bd\u8c61\u5e73\u9762\u8bbe\u8ba1\uff0c\u56fd\u6f6e\uff0c\u65b0\u4e2d\u5f0f\uff0c\u6d77\u62a5\u8bbe\u8ba1\",\"skill_image_chineseIllustration_example_12_prompt_withParams\":\"\u8d77\u821e\u7684\u5973\u5b69\uff0c\u5149\u4e0e\u5f71\uff0c\u4f18\u96c5\u52a8\u4f5c\uff0c\u9ad8\u54c1\u8d28\uff0c\u62bd\u8c61\u5e73\u9762\u8bbe\u8ba1\uff0c\u56fd\u6f6e\uff0c\u65b0\u4e2d\u5f0f\uff0c\u6d77\u62a5\u8bbe\u8ba1\",\"skill_image_chineseIllustration_example_13_prompt\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u7ea2\u8272\u5bab\u5899\uff0c\u5915\u9633\u897f\u4e0b\uff0c\u6885\u82b1\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u8d85\u9ad8\u6e05\uff0c\u67d4\u548c\u7684\u7b14\u89e6\",\"skill_image_chineseIllustration_example_13_prompt_withParams\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u7ea2\u8272\u5bab\u5899\uff0c\u5915\u9633\u897f\u4e0b\uff0c\u6885\u82b1\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u8d85\u9ad8\u6e05\uff0c\u67d4\u548c\u7684\u7b14\u89e6\",\"skill_image_chineseIllustration_example_14_prompt\":\"\u56fd\u98ce\u65b0\u5de5\u7b14\u98ce\u7ed3\u5408\u897f\u65b9\u539a\u6d82\u6cb9\u753b\u7ec6\u817b\u8d28\u611f\uff0c\u8272\u5f69\u5728\u8086\u610f\u6d41\u52a8\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u6d41\u4f53\u63cf\u7ed8\u7684\u9ad8\u5c71\u548c\u73b0\u4ee3\u5927\u53a6\uff0c\u66f2\u7ebf\uff0c\u5927\u91cf\u7559\u767d\uff0c\u767d\u8272\u4e3b\u8272\uff0c\u8d85\u73b0\u5b9e\",\"skill_image_chineseIllustration_example_14_prompt_withParams\":\"\u56fd\u98ce\u65b0\u5de5\u7b14\u98ce\u7ed3\u5408\u897f\u65b9\u539a\u6d82\u6cb9\u753b\u7ec6\u817b\u8d28\u611f\uff0c\u8272\u5f69\u5728\u8086\u610f\u6d41\u52a8\uff0c\u6781\u7b80\u4e3b\u4e49\uff0c\u6d41\u4f53\u63cf\u7ed8\u7684\u9ad8\u5c71\u548c\u73b0\u4ee3\u5927\u53a6\uff0c\u66f2\u7ebf\uff0c\u5927\u91cf\u7559\u767d\uff0c\u767d\u8272\u4e3b\u8272\uff0c\u8d85\u73b0\u5b9e\",\"skill_image_chineseIllustration_example_15_prompt\":\"\u4e00\u76f4\u7626\u957f\u7cbe\u81f4\u7684\u732b\uff0c\u5c45\u5bb6\uff0c\u5728\u6c99\u53d1\u4e0a\uff0c\u56fd\u6f6e\uff0c\u5927\u9c7c\u6d77\u68e0\uff0c\u8662\u5b50\u6977\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_15_prompt_withParams\":\"\u4e00\u76f4\u7626\u957f\u7cbe\u81f4\u7684\u732b\uff0c\u5c45\u5bb6\uff0c\u5728\u6c99\u53d1\u4e0a\uff0c\u56fd\u6f6e\uff0c\u5927\u9c7c\u6d77\u68e0\uff0c\u8662\u5b50\u6977\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_16_prompt\":\"\u5c0f\u7684\u7a7f\u957f\u888d\u5b50\u4eba\u5728\u4e2d\u95f4\uff0c\u6d6e\u52a8\u7684\u7ecf\u6587\uff0c\u6587\u5b57\uff0c\u6d41\u52a8\u7684\u957f\u5377\uff0c\u52a8\u6001\u7684\u52a8\u4f5c\u98ce\u683c\uff0c\u6f29\u6da1\u80cc\u666f\u662f\u4e00\u4e2a\u4e66\u623f\u4e2d\u56fd\u53f2\u8bd7\u98ce\u683c\uff0c\u6bdb\u7b14\u5b57\uff0c\u8bd7\u8bcd\uff0c\u80cc\u5f71\uff0c\u4ef0\u89c6\uff0c\u5de8\u5927\u7684\u6bdb\u7b14\u5b57\u7eb8\u5f20\uff0c\u98ce\uff0c\u7559\u767d\uff0c\u51b2\u51fb\u611f\uff0c\u8fdc\u666f\u89c6\u89d2\uff0c\u66f2\u7ebf\u6784\u56fe\uff0c\u6d6a\u6f2b\u53e4\u98ce\",\"skill_image_chineseIllustration_example_16_prompt_withParams\":\"\u5c0f\u7684\u7a7f\u957f\u888d\u5b50\u4eba\u5728\u4e2d\u95f4\uff0c\u6d6e\u52a8\u7684\u7ecf\u6587\uff0c\u6587\u5b57\uff0c\u6d41\u52a8\u7684\u957f\u5377\uff0c\u52a8\u6001\u7684\u52a8\u4f5c\u98ce\u683c\uff0c\u6f29\u6da1\u80cc\u666f\u662f\u4e00\u4e2a\u4e66\u623f\u4e2d\u56fd\u53f2\u8bd7\u98ce\u683c\uff0c\u6bdb\u7b14\u5b57\uff0c\u8bd7\u8bcd\uff0c\u80cc\u5f71\uff0c\u4ef0\u89c6\uff0c\u5de8\u5927\u7684\u6bdb\u7b14\u5b57\u7eb8\u5f20\uff0c\u98ce\uff0c\u7559\u767d\uff0c\u51b2\u51fb\u611f\uff0c\u8fdc\u666f\u89c6\u89d2\uff0c\u66f2\u7ebf\u6784\u56fe\uff0c\u6d6a\u6f2b\u53e4\u98ce\",\"skill_image_chineseIllustration_example_17_prompt\":\"\u9c7c\u4e0e\u98ce\u7b5d\uff0c\u56fd\u6f6e\uff0c\u5927\u9c7c\u6d77\u68e0\uff0c\u8662\u5b50\u6977\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_17_prompt_withParams\":\"\u9c7c\u4e0e\u98ce\u7b5d\uff0c\u56fd\u6f6e\uff0c\u5927\u9c7c\u6d77\u68e0\uff0c\u8662\u5b50\u6977\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_18_prompt\":\"\u4e7e\u9686\u65f6\u671f\u5916\u9500\u753b\uff0c\u53e4\u5178\u6cb9\u753b\u753b\u6cd5\u7684\u4e2d\u56fd\u7f8e\u4eba\uff0c\u534a\u8eab\u50cf\uff0c\u8fd1\u666f\uff0c\u4e7e\u9686\u4ed5\u5973\u56fe\uff0c\u501a\u95e8\uff0c\u6cb9\u753b\u7b14\u89e6\uff0c\u4f26\u52c3\u6717\u5149\u6548\uff0c\u6cb9\u753b\u6253\u5149\uff0c\u96cd\u6b63\u5341\u4e8c\u7f8e\u4eba\u56fe\",\"skill_image_chineseIllustration_example_18_prompt_withParams\":\"\u4e7e\u9686\u65f6\u671f\u5916\u9500\u753b\uff0c\u53e4\u5178\u6cb9\u753b\u753b\u6cd5\u7684\u4e2d\u56fd\u7f8e\u4eba\uff0c\u534a\u8eab\u50cf\uff0c\u8fd1\u666f\uff0c\u4e7e\u9686\u4ed5\u5973\u56fe\uff0c\u501a\u95e8\uff0c\u6cb9\u753b\u7b14\u89e6\uff0c\u4f26\u52c3\u6717\u5149\u6548\uff0c\u6cb9\u753b\u6253\u5149\uff0c\u96cd\u6b63\u5341\u4e8c\u7f8e\u4eba\u56fe\",\"skill_image_chineseIllustration_example_19_prompt\":\"\u624b\u673a\u5728\u5730\u4e0a\uff0c\u7985\u610f\u7684\uff0c\u502a\u4f20\u5a67\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_19_prompt_withParams\":\"\u624b\u673a\u5728\u5730\u4e0a\uff0c\u7985\u610f\u7684\uff0c\u502a\u4f20\u5a67\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_1_prompt\":\"\u5f20\u5927\u5343\u753b\u7684\u9752\u5c71\u7eff\u6c34\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u4e2d\u56fd\u7f8e\u5b66\u610f\u5883\",\"skill_image_chineseIllustration_example_1_prompt_withParams\":\"\u5f20\u5927\u5343\u753b\u7684\u9752\u5c71\u7eff\u6c34\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u4e2d\u56fd\u7f8e\u5b66\u610f\u5883\",\"skill_image_chineseIllustration_example_20_prompt\":\"\u7237\u7237\u5728\u770b\u624b\u673a\uff0c\u767d\u8272\u80cc\u666f\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u7ec6\u817b\u7684\u7b14\u89e6\uff0c\u8d85\u9ad8\u6e05\uff0c\u6f58\u5929\u5bff\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_20_prompt_withParams\":\"\u7237\u7237\u5728\u770b\u624b\u673a\uff0c\u767d\u8272\u80cc\u666f\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u7ec6\u817b\u7684\u7b14\u89e6\uff0c\u8d85\u9ad8\u6e05\uff0c\u6f58\u5929\u5bff\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_21_prompt\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c34\u5929\u4e00\u8272\uff0c\u6c5f\u6cb3\u6d41\u6c34\uff0c\u84dd\u8272\u6c34\u58a8\uff0c\u6655\u67d3\uff0c\u4e00\u53f6\u5b64\u821f\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_21_prompt_withParams\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c34\u5929\u4e00\u8272\uff0c\u6c5f\u6cb3\u6d41\u6c34\uff0c\u84dd\u8272\u6c34\u58a8\uff0c\u6655\u67d3\uff0c\u4e00\u53f6\u5b64\u821f\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_22_prompt\":\"\u9b3c\u602a\u4e4b\u7269\u548c\u4fa0\u4e49\u5c11\u5e74\uff0c\u7279\u5199\u5c11\u5e74\u7684\u4fa7\u8138\uff0c\u98ce\u8bed\u5492\uff0c\u65e9\u7a3b\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_22_prompt_withParams\":\"\u9b3c\u602a\u4e4b\u7269\u548c\u4fa0\u4e49\u5c11\u5e74\uff0c\u7279\u5199\u5c11\u5e74\u7684\u4fa7\u8138\uff0c\u98ce\u8bed\u5492\uff0c\u65e9\u7a3b\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_23_prompt\":\"\u6787\u6777\uff0c\u9f50\u767d\u77f3\uff0c\u6e7f\u58a8\uff0c\u6c34\u58a8\u6655\u67d3\uff0c\u8fd1\u666f\u7279\u5199\",\"skill_image_chineseIllustration_example_23_prompt_withParams\":\"\u6787\u6777\uff0c\u9f50\u767d\u77f3\uff0c\u6e7f\u58a8\uff0c\u6c34\u58a8\u6655\u67d3\uff0c\u8fd1\u666f\u7279\u5199\",\"skill_image_chineseIllustration_example_24_prompt\":\"\u8377\u5858\u91cc\u6709\u4e00\u6761\u4e03\u5f69\u7684\u9c7c\uff0c\u767d\u8272\u80cc\u666f\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u7ec6\u817b\u7684\u7b14\u89e6\uff0c\u8d85\u9ad8\u6e05\uff0c\u6f58\u5929\u5bff\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_24_prompt_withParams\":\"\u8377\u5858\u91cc\u6709\u4e00\u6761\u4e03\u5f69\u7684\u9c7c\uff0c\u767d\u8272\u80cc\u666f\uff0c\u5927\u9762\u79ef\u7559\u767d\uff0c\u7ec6\u817b\u7684\u7b14\u89e6\uff0c\u8d85\u9ad8\u6e05\uff0c\u6f58\u5929\u5bff\u7684\u7ed8\u753b\u98ce\u683c\",\"skill_image_chineseIllustration_example_2_prompt\":\"\u955c\u6e56\u4e09\u767e\u91cc\uff0c\u83e1\u840f\u53d1\u8377\u82b1\u3002\u65b0\u6d3e\u63d2\u753b\uff0c\u767d\u8272\u7684\u82b1\uff0c\u84dd\u9752\u8272\u7684\u8377\u53f6\uff0c\u767d\u8272\u80cc\u666f\",\"skill_image_chineseIllustration_example_2_prompt_withParams\":\"\u955c\u6e56\u4e09\u767e\u91cc\uff0c\u83e1\u840f\u53d1\u8377\u82b1\u3002\u65b0\u6d3e\u63d2\u753b\uff0c\u767d\u8272\u7684\u82b1\uff0c\u84dd\u9752\u8272\u7684\u8377\u53f6\uff0c\u767d\u8272\u80cc\u666f\",\"skill_image_chineseIllustration_example_3_prompt\":\"\u4e00\u6761\u873f\u8712\u7684\u5c0f\u6eaa\u7a7f\u8fc7\u53e4\u8001\u7684\u6751\u5e84\u3002\u6c34\u58a8\u753b\u4e2d\uff0c\u6eaa\u6c34\u4f7f\u7528\u6de1\u58a8\u8f7b\u67d3\uff0c\u663e\u5f97\u6e05\u6f88\u89c1\u5e95\uff0c\u4e24\u5cb8\u53e4\u6811\u4f9d\u4f9d\uff0c\u5404\u79cd\u6811\u6728\u4ee5\u4e0d\u540c\u6df1\u6d45\u7684\u58a8\u8272\u8868\u73b0\uff0c\u8425\u9020\u51fa\u4e00\u79cd\u53e4\u6734\u5b81\u9759\u7684\u6c1b\u56f4\u3002\",\"skill_image_chineseIllustration_example_3_prompt_withParams\":\"\u4e00\u6761\u873f\u8712\u7684\u5c0f\u6eaa\u7a7f\u8fc7\u53e4\u8001\u7684\u6751\u5e84\u3002\u6c34\u58a8\u753b\u4e2d\uff0c\u6eaa\u6c34\u4f7f\u7528\u6de1\u58a8\u8f7b\u67d3\uff0c\u663e\u5f97\u6e05\u6f88\u89c1\u5e95\uff0c\u4e24\u5cb8\u53e4\u6811\u4f9d\u4f9d\uff0c\u5404\u79cd\u6811\u6728\u4ee5\u4e0d\u540c\u6df1\u6d45\u7684\u58a8\u8272\u8868\u73b0\uff0c\u8425\u9020\u51fa\u4e00\u79cd\u53e4\u6734\u5b81\u9759\u7684\u6c1b\u56f4\u3002\",\"skill_image_chineseIllustration_example_4_prompt\":\"\u76d8\u5750\u7684\u957f\u53d1\u73b0\u4ee3\u5973\u6027\uff0c\u534e\u4e3d\u7684\u670d\u88c5\uff0c\u795e\u79d8\u7684\u6c14\u8d28\uff0c\u98d8\u9038\u7684\u5934\u53d1\uff0c\u7cbe\u81f4\u7684\u9762\u90e8\u5986\u5bb9\uff0c\u72ec\u7279\u7684\u5934\u9970\uff0c\u590d\u6742\u7684\u670d\u88c5\u7eb9\u7406\uff0c\u6d41\u7545\u7684\u7ec7\u7269\u89e6\u611f\uff0c\u91d1\u8272\u88c5\u9970\uff0c\u6563\u53d1\u5fae\u5f31\u9ec4\u5149\uff0c\u80cc\u666f\u6709\u5f88\u591a\u795e\u79d8\u7684\u7b26\u53f7\u4e0e\u56fe\u6848\uff0c\u4e1c\u65b9\u5e7b\u60f3\u98ce\u683c\u4e0e\u827a\u672f\u88c5\u9970\u98ce\u683c\u7684\u7ed3\u5408\uff0c\u6566\u714c\u58c1\u753b\u98ce\u683c\uff0c\u8d85\u9ad8\u753b\u8d28\uff0c\u591a\u91cd\u7ec6\u8282\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_chineseIllustration_example_4_prompt_withParams\":\"\u76d8\u5750\u7684\u957f\u53d1\u73b0\u4ee3\u5973\u6027\uff0c\u534e\u4e3d\u7684\u670d\u88c5\uff0c\u795e\u79d8\u7684\u6c14\u8d28\uff0c\u98d8\u9038\u7684\u5934\u53d1\uff0c\u7cbe\u81f4\u7684\u9762\u90e8\u5986\u5bb9\uff0c\u72ec\u7279\u7684\u5934\u9970\uff0c\u590d\u6742\u7684\u670d\u88c5\u7eb9\u7406\uff0c\u6d41\u7545\u7684\u7ec7\u7269\u89e6\u611f\uff0c\u91d1\u8272\u88c5\u9970\uff0c\u6563\u53d1\u5fae\u5f31\u9ec4\u5149\uff0c\u80cc\u666f\u6709\u5f88\u591a\u795e\u79d8\u7684\u7b26\u53f7\u4e0e\u56fe\u6848\uff0c\u4e1c\u65b9\u5e7b\u60f3\u98ce\u683c\u4e0e\u827a\u672f\u88c5\u9970\u98ce\u683c\u7684\u7ed3\u5408\uff0c\u6566\u714c\u58c1\u753b\u98ce\u683c\uff0c\u8d85\u9ad8\u753b\u8d28\uff0c\u591a\u91cd\u7ec6\u8282\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_chineseIllustration_example_5_prompt\":\"\u4e00\u4e2a\u4e66\u6cd5\u5bb6\uff0c\u4fa7\u8138\u7279\u5199\uff0c\u6c34\u58a8\u6655\u67d3\uff0c\u7559\u7740\u80e1\u5b50\uff0c\u7ec6\u8282\u7684\u6bdb\u53d1\uff0c\u4ee5\u6bdb\u7b14\u7684\u7b14\u89e6\u53bb\u52fe\u52d2\uff0c\u80cc\u666f\u5e26\u7740\u6cfc\u58a8\u7684\u6548\u679c\uff0c\u7ec6\u817b\u7684\u6c34\u58a8\u753b\uff0c\u8d85\u9ad8\u6e05\uff0c\u753b\u9762\u5de6\u4fa7\u7559\u767d\uff0c\u753b\u9762\u91cc\u6ca1\u6709\u6587\u5b57\",\"skill_image_chineseIllustration_example_5_prompt_withParams\":\"\u4e00\u4e2a\u4e66\u6cd5\u5bb6\uff0c\u4fa7\u8138\u7279\u5199\uff0c\u6c34\u58a8\u6655\u67d3\uff0c\u7559\u7740\u80e1\u5b50\uff0c\u7ec6\u8282\u7684\u6bdb\u53d1\uff0c\u4ee5\u6bdb\u7b14\u7684\u7b14\u89e6\u53bb\u52fe\u52d2\uff0c\u80cc\u666f\u5e26\u7740\u6cfc\u58a8\u7684\u6548\u679c\uff0c\u7ec6\u817b\u7684\u6c34\u58a8\u753b\uff0c\u8d85\u9ad8\u6e05\uff0c\u753b\u9762\u5de6\u4fa7\u7559\u767d\uff0c\u753b\u9762\u91cc\u6ca1\u6709\u6587\u5b57\",\"skill_image_chineseIllustration_example_6_prompt\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c5f\u5357\u6c34\u4e61\uff0c\u4e00\u6761\u6cb3\u6d41\u8d2f\u7a7f\uff0c\u4e24\u4fa7\u662f\u56ed\u6797\uff0c\u7eff\u8272\u5927\u9762\u79ef\u6655\u67d3\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_6_prompt_withParams\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c5f\u5357\u6c34\u4e61\uff0c\u4e00\u6761\u6cb3\u6d41\u8d2f\u7a7f\uff0c\u4e24\u4fa7\u662f\u56ed\u6797\uff0c\u7eff\u8272\u5927\u9762\u79ef\u6655\u67d3\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_7_prompt\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c34\u5929\u4e00\u8272\uff0c\u6c5f\u6cb3\u6d41\u6c34\uff0c\u84dd\u8272\u6c34\u58a8\uff0c\u6655\u67d3\uff0c\u4e00\u53f6\u5b64\u821f\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_7_prompt_withParams\":\"\u70b9\u5f69\u6c34\u58a8\u753b\uff0c\u6c34\u5929\u4e00\u8272\uff0c\u6c5f\u6cb3\u6d41\u6c34\uff0c\u84dd\u8272\u6c34\u58a8\uff0c\u6655\u67d3\uff0c\u4e00\u53f6\u5b64\u821f\uff0c\u4e2d\u5f0f\u5ba1\u7f8e\uff0c\u7559\u767d\uff0c\u6781\u7b80\u4e3b\u4e49\",\"skill_image_chineseIllustration_example_8_prompt\":\"\u5fbd\u5f0f\u5efa\u7b51\u7684\u5c4b\u9876\uff0c\u6df1\u9752\u8272\u548c\u91d1\u8272\u98ce\u683c\uff0c\u5927\u9762\u79ef\u91d1\u8272\u5757\u72b6\uff0c\u91d1\u6f06\uff0c\u5e73\u9762\u8bbe\u8ba1\uff0c\u6781\u7b80\uff0c\u62bd\u8c61\u7684\u5f62\u72b6\u8bbe\u8ba1\uff0c\u4e30\u5bcc\u7684\u7ec6\u8282\uff0c\u56fd\u98ce\u63d2\u753b\u8bbe\u8ba1\",\"skill_image_chineseIllustration_example_8_prompt_withParams\":\"\u5fbd\u5f0f\u5efa\u7b51\u7684\u5c4b\u9876\uff0c\u6df1\u9752\u8272\u548c\u91d1\u8272\u98ce\u683c\uff0c\u5927\u9762\u79ef\u91d1\u8272\u5757\u72b6\uff0c\u91d1\u6f06\uff0c\u5e73\u9762\u8bbe\u8ba1\uff0c\u6781\u7b80\uff0c\u62bd\u8c61\u7684\u5f62\u72b6\u8bbe\u8ba1\uff0c\u4e30\u5bcc\u7684\u7ec6\u8282\uff0c\u56fd\u98ce\u63d2\u753b\u8bbe\u8ba1\",\"skill_image_chineseIllustration_example_9_prompt\":\"\u5434\u51a0\u4e2d\u98ce\u683c\u7684\u4e00\u5e45\u5b81\u9759\u7684\u5e73\u9762\u63d2\u56fe\uff0c\u4e2d\u56fd\u5c71\u6c34\u753b\u98ce\u683c\uff0c\u9ad8\u5c71\u6d41\u6c34\uff0c\u4e91\u96fe\u7b3c\u7f69\uff0c\u7011\u5e03\u76f4\u4e0b\uff0c\u6e56\u9762\u5e73\u9759\uff0c\u4e00\u6761\u5e73\u5766\u7684\u5c0f\u8239\uff0c\u4e24\u4e2a\u4eba\u9759\u9759\u5730\u5750\u7740\uff0c\u84dd\u8272\u548c\u84dd\u8272\u7684\u8272\u8c03\uff0c\u5b81\u9759\u800c\u58ee\u4e3d\",\"skill_image_chineseIllustration_example_9_prompt_withParams\":\"\u5434\u51a0\u4e2d\u98ce\u683c\u7684\u4e00\u5e45\u5b81\u9759\u7684\u5e73\u9762\u63d2\u56fe\uff0c\u4e2d\u56fd\u5c71\u6c34\u753b\u98ce\u683c\uff0c\u9ad8\u5c71\u6d41\u6c34\uff0c\u4e91\u96fe\u7b3c\u7f69\uff0c\u7011\u5e03\u76f4\u4e0b\uff0c\u6e56\u9762\u5e73\u9759\uff0c\u4e00\u6761\u5e73\u5766\u7684\u5c0f\u8239\uff0c\u4e24\u4e2a\u4eba\u9759\u9759\u5730\u5750\u7740\uff0c\u84dd\u8272\u548c\u84dd\u8272\u7684\u8272\u8c03\uff0c\u5b81\u9759\u800c\u58ee\u4e3d\",\"skill_image_config_aspect_ratio\":\"\u56fe\u7247\u6bd4\u4f8b\",\"skill_image_desc\":\"\u628a\u4f60\u7684\u60f3\u8c61\u529b\u53d8\u6210\u56fe\u50cf\",\"skill_image_example_category_chinese_illustration\":\"\u56fd\u98ce\u63d2\u753b\",\"skill_image_example_category_recommend\":\"\u7cbe\u9009\",\"skill_image_feature_words_group_camera_angle\":\"\u955c\u5934\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_aerial_photography\":\"\u822a\u62cd \",\"skill_image_feature_words_group_camera_angle_birds_eye_view\":\"\u9e1f\u77b0\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_bust_shot\":\"\u534a\u8eab\u50cf \",\"skill_image_feature_words_group_camera_angle_deep_focus\":\"\u5927\u666f\u6df1 \",\"skill_image_feature_words_group_camera_angle_dolly_zoom\":\"\u63a8\u62c9\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_eye_level_shot\":\"\u773c\u775b\u6c34\u5e73\u62cd\u6444 \",\"skill_image_feature_words_group_camera_angle_first_person_view\":\"\u7b2c\u4e00\u4eba\u79f0\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_fisheye_lens\":\"\u9c7c\u773c\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_full_body_shot\":\"\u5168\u8eab\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_handheld_shooting\":\"\u624b\u6301\u6444\u5f71 \",\"skill_image_feature_words_group_camera_angle_high_angle_shot\":\"\u9ad8\u89d2\u5ea6\u62cd\u6444 \",\"skill_image_feature_words_group_camera_angle_low_angle_shot\":\"\u4f4e\u89d2\u5ea6\u62cd\u6444 \",\"skill_image_feature_words_group_camera_angle_macro_lens\":\"\u5fae\u8ddd\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_medium_close_up_shot\":\"\u4e03\u5206\u8eab\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_medium_shot\":\"\u4e2d\u666f\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_multiple_exposure_shot\":\"\u591a\u91cd\u66dd\u5149\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_over_the_shoulder_shot\":\"\u8fc7\u80a9\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_panoramic\":\"\u5168\u666f \",\"skill_image_feature_words_group_camera_angle_perspective_shot\":\"\u900f\u89c6\u62cd\u6444 \",\"skill_image_feature_words_group_camera_angle_silhouette_shot\":\"\u526a\u5f71\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_snails_eye_view\":\"\u8717\u725b\u89c6\u89d2 \",\"skill_image_feature_words_group_camera_angle_telephoto_lens\":\"\u957f\u7126\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_tilt_shot\":\"\u503e\u659c\u89d2\u5ea6\u62cd\u6444 \",\"skill_image_feature_words_group_camera_angle_tracking_shot\":\"\u8ddf\u8e2a\u955c\u5934 \",\"skill_image_feature_words_group_camera_angle_underwater_photography\":\"\u6c34\u4e0b\u6444\u5f71 \",\"skill_image_feature_words_group_landscape\":\"\u98ce\u666f \",\"skill_image_feature_words_group_landscape_aerial_photography\":\"\u822a\u62cd\",\"skill_image_feature_words_group_landscape_black_and_white\":\"\u9ed1\u767d \",\"skill_image_feature_words_group_landscape_blue_hour\":\"\u84dd\u8c03\u65f6\u523b \",\"skill_image_feature_words_group_landscape_golden_hour\":\"\u9ec4\u91d1\u65f6\u523b \",\"skill_image_feature_words_group_landscape_hdr\":\"HDR \",\"skill_image_feature_words_group_landscape_long_exposure\":\"\u957f\u66dd\u5149 \",\"skill_image_feature_words_group_landscape_minimalism\":\"\u6781\u7b80\u4e3b\u4e49 \",\"skill_image_feature_words_group_landscape_naturalism\":\"\u81ea\u7136\u4e3b\u4e49 \",\"skill_image_feature_words_group_landscape_night_view\":\"\u591c\u666f \",\"skill_image_feature_words_group_landscape_soft_focus\":\"\u67d4\u7126 \",\"skill_image_feature_words_group_landscape_surrealism\":\"\u8d85\u73b0\u5b9e\u4e3b\u4e49 \",\"skill_image_feature_words_group_landscape_underwater_photography\":\"\u6c34\u4e0b\u6444\u5f71 \",\"skill_image_feature_words_group_landscape_urban_landscape\":\"\u57ce\u5e02\u666f\u89c2 \",\"skill_image_feature_words_group_light\":\"\u5149\u7ebf \",\"skill_image_feature_words_group_light_ambient_light\":\"\u6c1b\u56f4\u706f\u5149 \",\"skill_image_feature_words_group_light_backlight\":\"\u80cc\u666f\u5149 \",\"skill_image_feature_words_group_light_bi_color_light\":\"\u53cc\u8272\u5149 \",\"skill_image_feature_words_group_light_cinematic_lighting\":\"\u7535\u5f71\u7ea7\u5149\u7167 \",\"skill_image_feature_words_group_light_dawn_light\":\"\u6668\u5149 \",\"skill_image_feature_words_group_light_direct_sunlight\":\"\u76f4\u5c04\u65e5\u5149 \",\"skill_image_feature_words_group_light_dusk_light\":\"\u66ae\u5149 \",\"skill_image_feature_words_group_light_fluorescent_light\":\"\u8367\u5149\u706f\u5149 \",\"skill_image_feature_words_group_light_lens_flare\":\"\u900f\u955c\u5149\u6655 \",\"skill_image_feature_words_group_light_metallic_sheen\":\"\u91d1\u5c5e\u5149\u6cfd \",\"skill_image_feature_words_group_light_moonlight\":\"\u6708\u5149 \",\"skill_image_feature_words_group_light_natural_light\":\"\u81ea\u7136\u5149 \",\"skill_image_feature_words_group_light_neon_light\":\"\u9713\u8679\u706f \",\"skill_image_feature_words_group_light_point_light\":\"\u70b9\u5149\u6e90 \",\"skill_image_feature_words_group_light_rainbow_light\":\"\u5f69\u8679\u5149 \",\"skill_image_feature_words_group_light_rim_light\":\"\u8f6e\u5ed3\u5149 \",\"skill_image_feature_words_group_light_shadow_light\":\"\u9634\u5f71\u5149 \",\"skill_image_feature_words_group_light_spotlight\":\"\u805a\u5149\u706f \",\"skill_image_feature_words_group_light_studio_light\":\"\u6444\u5f71\u68da\u5149 \",\"skill_image_feature_words_group_light_sunset_light\":\"\u65e5\u843d\u5149 \",\"skill_image_feature_words_group_light_tyndall_effect\":\"\u4e01\u8fbe\u5c14\u6548\u5e94 \",\"skill_image_feature_words_group_light_volumetric_light\":\"\u4f53\u79ef\u5149 \",\"skill_image_feature_words_group_portrait\":\"\u4eba\u50cf \",\"skill_image_feature_words_group_portrait_artistic_portrait\":\"\u827a\u672f\u8096\u50cf \",\"skill_image_feature_words_group_portrait_black_and_white\":\"\u9ed1\u767d \",\"skill_image_feature_words_group_portrait_dreamy_effect\":\"\u68a6\u5e7b\u6548\u679c \",\"skill_image_feature_words_group_portrait_fashion_photography\":\"\u65f6\u5c1a\u6444\u5f71 \",\"skill_image_feature_words_group_portrait_fine_art_portrait\":\"\u8096\u50cf\u7cbe\u7ec6 \",\"skill_image_feature_words_group_portrait_minimalism\":\"\u6781\u7b80\u4e3b\u4e49\",\"skill_image_feature_words_group_portrait_moody_portrait\":\"\u60c5\u7eea\u4eba\u50cf \",\"skill_image_feature_words_group_portrait_street_photography\":\"\u8857\u5934\u6444\u5f71 \",\"skill_image_feature_words_group_portrait_vibrant_colors\":\"\u8272\u5f69\u9c9c\u660e \",\"skill_image_feature_words_group_portrait_vintage_style\":\"\u590d\u53e4\u98ce \",\"skill_image_input_placeholder\":\"\u63cf\u8ff0\u4f60\u8981\u521b\u4f5c\u7684\u5185\u5bb9...\",\"skill_image_intput_placeholder\":\"\u63cf\u8ff0\u4f60\u6240\u60f3\u8c61\u7684\u753b\u9762\uff0c\u89d2\u8272\uff0c\u60c5\u7eea\uff0c\u573a\u666f\uff0c\u98ce\u683c...\",\"skill_image_intput_placeholder_quote\":\"\u7f16\u8f91\u8fd9\u5f20\u56fe\u7247...\",\"skill_image_intput_ratio\":\"\u6bd4\u4f8b\",\"skill_image_intput_reference\":\"\u53c2\u8003\u56fe\",\"skill_image_intput_reference_alert_format\":\"\u56fe\u7247\u5c3a\u5bf8\u4e0d\u80fd\u5c0f\u4e8e 40x40\uff0c\u5927\u5c0f\u4e0d\u8d85\u8fc7 10M\",\"skill_image_intput_reference_tooltip_limit\":\"\u6682\u4ec5\u652f\u6301\u4e00\u5f20\u53c2\u8003\u56fe\uff0c\u7ee7\u7eed\u4e0a\u4f20\u66ff\u6362\u65e7\u56fe\",\"skill_image_intput_style\":\"\u98ce\u683c\",\"skill_image_japaneseAnime_example_16_prompt\":\"\u4e00\u4e2a\u767d\u8272\u76f4\u957f\u53d1\u7684\u6210\u719f\u5973\u4eba\uff0c\u9ec4\u8272\u773c\u775b\uff0c\u8eab\u7a7f\u9ed1\u84dd\u8272\u957f\u88d9\uff0c\u5750\u5728\u5929\u53f0\u8fb9\uff0c\u52a8\u753b\u98ce\u683c\",\"skill_image_japaneseAnime_example_16_prompt_withParams\":\"\u4e00\u4e2a\u767d\u8272\u76f4\u957f\u53d1\u7684\u6210\u719f\u5973\u4eba\uff0c\u9ec4\u8272\u773c\u775b\uff0c\u8eab\u7a7f\u9ed1\u84dd\u8272\u957f\u88d9\uff0c\u5750\u5728\u5929\u53f0\u8fb9\uff0c\u52a8\u753b\u98ce\u683c\",\"skill_image_japaneseAnime_example_17_prompt\":\"\u900f\u660e\u548c\u6d41\u4f53\u6750\u8d28\uff0c\u6781\u7b80\uff0c\u5927\u91cf\u7559\u767d\u7684\u6784\u56fe\uff0c\u7535\u5f71\u62cd\u6444\uff0c\u8868\u9762\u7684\u7c89\u7ea2\u8272\u4e91\u5c42\uff0c\u9ed1\u8272\u7684\u6c99\u6f20\uff0c\u5e72\u51c0\u7684\u5929\u7a7a\uff0c80\u5e74\u4ee3\uff0c\u4e00\u4e2a\u4eba\u7ad9\u5728\u6c99\u6f20\u4e0a\uff0c\u4ee5\u8d85\u73b0\u5b9e\u548c\u8d85\u8be6\u7ec6\u7684\u7535\u5f71\u98ce\u683c\u62cd\u6444\u7684\u9ad8\u5206\u8fa8\u7387\u7167\u7247\uff0c\u5b64\u72ec\u611f\",\"skill_image_japaneseAnime_example_17_prompt_withParams\":\"\u900f\u660e\u548c\u6d41\u4f53\u6750\u8d28\uff0c\u6781\u7b80\uff0c\u5927\u91cf\u7559\u767d\u7684\u6784\u56fe\uff0c\u7535\u5f71\u62cd\u6444\uff0c\u8868\u9762\u7684\u7c89\u7ea2\u8272\u4e91\u5c42\uff0c\u9ed1\u8272\u7684\u6c99\u6f20\uff0c\u5e72\u51c0\u7684\u5929\u7a7a\uff0c80\u5e74\u4ee3\uff0c\u4e00\u4e2a\u4eba\u7ad9\u5728\u6c99\u6f20\u4e0a\uff0c\u4ee5\u8d85\u73b0\u5b9e\u548c\u8d85\u8be6\u7ec6\u7684\u7535\u5f71\u98ce\u683c\u62cd\u6444\u7684\u9ad8\u5206\u8fa8\u7387\u7167\u7247\uff0c\u5b64\u72ec\u611f\",\"skill_image_japaneseAnime_example_18_prompt\":\"\u897f\u88c5\u9886\u5e26\u7537\u9a91\u7740\u8d64\u5154\u6218\u9a6c\uff0c\u624b\u6301\u65b9\u5929\u753b\u621f\uff0c\u75af\u72c2\u7684\u7ec6\u8282\uff0c\u8d85\u9ad8\u6e05\u753b\u8d28\uff0c\u706b\u51e4\u71ce\u539f\uff0c\u9999\u6e2f\u6f2b\u753b\u5bb6\u9648\u67d0\u7684\u7ed8\u753b\u98ce\u683c\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_japaneseAnime_example_18_prompt_withParams\":\"\u897f\u88c5\u9886\u5e26\u7537\u9a91\u7740\u8d64\u5154\u6218\u9a6c\uff0c\u624b\u6301\u65b9\u5929\u753b\u621f\uff0c\u75af\u72c2\u7684\u7ec6\u8282\uff0c\u8d85\u9ad8\u6e05\u753b\u8d28\uff0c\u706b\u51e4\u71ce\u539f\uff0c\u9999\u6e2f\u6f2b\u753b\u5bb6\u9648\u67d0\u7684\u7ed8\u753b\u98ce\u683c\uff0c\u7279\u5199\u4e0a\u534a\u8eab\",\"skill_image_japaneseAnime_example_19_prompt\":\"\u5728\u8499\u53e4\u91d1\u8272\u7684\u8349\u539f\u4e0a\uff0c\u4e00\u5934\u725b\u5728\u53ef\u7231\u548c\u9732\u8425\u98ce\u683c\u7684\u6c1b\u56f4\u4e2d\u5b89\u9759\u5730\u5403\u8349\u3002\u5929\u84dd\u8272\u548c\u7eff\u8272\uff0c\u6d45\u7ea2\u8272\u548c\u7eff\u8272\u7684\u8272\u8c03\uff0cunreal 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0000000000000000000000000000000000000000..42f870e6076d51ca09020725a58a54e964571b83 --- /dev/null +++ b/computers/__init__.py @@ -0,0 +1,23 @@ +# Copyright 2025 Google LLC +# +# 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. +from .computer import Computer, EnvState +from .browserbase.browserbase import BrowserbaseComputer +from .playwright.playwright import PlaywrightComputer + +__all__ = [ + "Computer", + "EnvState", + "BrowserbaseComputer", + "PlaywrightComputer", +] diff --git a/computers/browserbase/__init__.py b/computers/browserbase/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/computers/browserbase/browserbase.py b/computers/browserbase/browserbase.py new file mode 100644 index 0000000000000000000000000000000000000000..9964af49cb5a9c5ffa065e42a7b7562d2cf5c3f0 --- /dev/null +++ b/computers/browserbase/browserbase.py @@ -0,0 +1,80 @@ +# Copyright 2025 Google LLC +# +# 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. +import os +import termcolor +from ..playwright.playwright import PlaywrightComputer +import browserbase +from playwright.sync_api import sync_playwright + + +class BrowserbaseComputer(PlaywrightComputer): + def __init__( + self, + screen_size: tuple[int, int], + initial_url: str = "https://www.google.com", + ): + super().__init__(screen_size, initial_url) + + def __enter__(self): + print("Creating session...") + + self._playwright = sync_playwright().start() + self._browserbase = browserbase.Browserbase( + api_key=os.environ["BROWSERBASE_API_KEY"] + ) + + self._session = self._browserbase.sessions.create( + project_id=os.environ["BROWSERBASE_PROJECT_ID"], + browser_settings={ + "fingerprint": { + "screen": { + "maxWidth": 1920, + "maxHeight": 1080, + "minWidth": 1024, + "minHeight": 768, + }, + }, + "viewport": { + "width": self._screen_size[0], + "height": self._screen_size[1], + }, + }, + ) + + self._browser = self._playwright.chromium.connect_over_cdp( + self._session.connect_url + ) + self._context = self._browser.contexts[0] + self._page = self._context.pages[0] + self._page.goto(self._initial_url) + + self._context.on("page", self._handle_new_page) + + termcolor.cprint( + f"Session started at https://browserbase.com/sessions/{self._session.id}", + color="green", + attrs=["bold"], + ) + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self._page.close() + + if self._context: + self._context.close() + + if self._browser: + self._browser.close() + + self._playwright.stop() diff --git a/computers/computer.py b/computers/computer.py new file mode 100644 index 0000000000000000000000000000000000000000..0ca369863f0d3cb70e5b14efce53f47049b5262f --- /dev/null +++ b/computers/computer.py @@ -0,0 +1,125 @@ +# Copyright 2025 Google LLC +# +# 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. +import abc +import pydantic +from typing import Literal + + +class EnvState(pydantic.BaseModel): + # The screenshot in PNG format. + screenshot: bytes + url: str + + +class Computer(abc.ABC): + """Defines an interface for environments.""" + + @abc.abstractmethod + def screen_size(self) -> tuple[int, int]: + """Returns the screen size of the environment.""" + + @abc.abstractmethod + def open_web_browser(self) -> EnvState: + """Opens the web browser.""" + + @abc.abstractmethod + def click_at(self, x: int, y: int) -> EnvState: + """Clicks at a specific x, y coordinate on the webpage. + + The 'x' and 'y' values are absolute values, scaled to the height and width of the screen. + """ + + @abc.abstractmethod + def hover_at(self, x: int, y: int) -> EnvState: + """Hovers at a specific x, y coordinate on the webpage. + + May be used to explore sub-menus that appear on hover. + The 'x' and 'y' values are absolute values, scaled to the height and width of the screen. + """ + + @abc.abstractmethod + def type_text_at( + self, + x: int, + y: int, + text: str, + press_enter: bool, + clear_before_typing: bool, + ) -> EnvState: + """Types text at a specific x, y coordinate. + + The system automatically presses ENTER after typing. To disable this, set `press_enter` to False. + The system automatically clears any existing content before typing the specified `text`. To disable this, set `clear_before_typing` to False. + The 'x' and 'y' values are absolute values, scaled to the height and width of the screen. + """ + + @abc.abstractmethod + def scroll_document( + self, direction: Literal["up", "down", "left", "right"] + ) -> EnvState: + """Scrolls the entire webpage "up", "down", "left" or "right" based on direction.""" + + @abc.abstractmethod + def scroll_at( + self, + x: int, + y: int, + direction: Literal["up", "down", "left", "right"], + magnitude: int, + ) -> EnvState: + """Scrolls up, down, right, or left at a x, y coordinate by magnitude. + + The 'x' and 'y' values are absolute values, scaled to the height and width of the screen. + """ + + @abc.abstractmethod + def wait_5_seconds(self) -> EnvState: + """Waits for 5 seconds to allow unfinished webpage processes to complete.""" + + @abc.abstractmethod + def go_back(self) -> EnvState: + """Navigates back to the previous webpage in the browser history.""" + + @abc.abstractmethod + def go_forward(self) -> EnvState: + """Navigates forward to the next webpage in the browser history.""" + + @abc.abstractmethod + def search(self) -> EnvState: + """Directly jumps to a search engine home page. + + Used when you need to start with a search. For example, this is used when + the current website doesn't have the information needed or because a new + task is being started. + """ + + @abc.abstractmethod + def navigate(self, url: str) -> EnvState: + """Navigates directly to a specified URL.""" + + @abc.abstractmethod + def key_combination(self, keys: list[str]) -> EnvState: + """Presses keyboard keys and combinations, such as "control+c" or "enter".""" + + @abc.abstractmethod + def drag_and_drop( + self, x: int, y: int, destination_x: int, destination_y: int + ) -> EnvState: + """Drag and drop an element from a x, y coordinate to a destination destination_y, destination_x coordinate. + The 'x', 'y', 'destination_y' and 'destination_x' values are absolute values, scaled to the height and width of the screen. + """ + + @abc.abstractmethod + def current_state(self) -> EnvState: + """Returns the current state of the current webpage.""" diff --git a/computers/playwright/__init__.py b/computers/playwright/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/computers/playwright/playwright.py b/computers/playwright/playwright.py new file mode 100644 index 0000000000000000000000000000000000000000..6bd6444525dd503923969e1c87d8326e83e64a8c --- /dev/null +++ b/computers/playwright/playwright.py @@ -0,0 +1,430 @@ +# Copyright 2025 Google LLC +# +# 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. +import logging +import termcolor +import time +import os +import sys +from ..computer import ( + Computer, + EnvState, +) +import playwright.sync_api +from playwright.sync_api import sync_playwright +from typing import Literal +import glob + +# Define a mapping from the user-friendly key names to Playwright's expected key names. +# Playwright is generally good with case-insensitivity for these, but it's best to be canonical. +# See: https://playwright.dev/docs/api/class-keyboard#keyboard-press +# Keys like 'a', 'b', '1', '$' are passed directly. +PLAYWRIGHT_KEY_MAP = { + "backspace": "Backspace", + "tab": "Tab", + "return": "Enter", # Playwright uses 'Enter' + "enter": "Enter", + "shift": "Shift", + "control": "ControlOrMeta", + "alt": "Alt", + "escape": "Escape", + "space": "Space", # Can also just be " " + "pageup": "PageUp", + "pagedown": "PageDown", + "end": "End", + "home": "Home", + "left": "ArrowLeft", + "up": "ArrowUp", + "right": "ArrowRight", + "down": "ArrowDown", + "insert": "Insert", + "delete": "Delete", + "semicolon": ";", # For actual character ';' + "equals": "=", # For actual character '=' + "multiply": "Multiply", # NumpadMultiply + "add": "Add", # NumpadAdd + "separator": "Separator", # Numpad specific + "subtract": "Subtract", # NumpadSubtract, or just '-' for character + "decimal": "Decimal", # NumpadDecimal, or just '.' for character + "divide": "Divide", # NumpadDivide, or just '/' for character + "f1": "F1", + "f2": "F2", + "f3": "F3", + "f4": "F4", + "f5": "F5", + "f6": "F6", + "f7": "F7", + "f8": "F8", + "f9": "F9", + "f10": "F10", + "f11": "F11", + "f12": "F12", + "command": "Meta", # 'Meta' is Command on macOS, Windows key on Windows +} + + +class PlaywrightComputer(Computer): + """Connects to a local Playwright instance.""" + + def __init__( + self, + screen_size: tuple[int, int], + initial_url: str = "https://www.google.com", + search_engine_url: str = "https://www.google.com", + highlight_mouse: bool = False, + ): + self._initial_url = initial_url + self._screen_size = screen_size + self._search_engine_url = search_engine_url + self._highlight_mouse = highlight_mouse + + def _handle_new_page(self, new_page: playwright.sync_api.Page): + """The Computer Use model only supports a single tab at the moment. + + Some websites, however, try to open links in a new tab. + For those situations, we intercept the page-opening behavior, and instead overwrite the current page. + """ + new_url = new_page.url + new_page.close() + self._page.goto(new_url) + + # del + def cleanup_old_screenshots(self, logs_dir="logs", max_count=30): + """ + 删除旧的截图文件，只保留最新的 max_count 个 + """ + # 确保日志目录存在 + if not os.path.exists(logs_dir): + return + + # 获取所有的png文件 + pattern = os.path.join(logs_dir, "screenshot_*.png") + png_files = glob.glob(pattern) + + # 如果文件数量超过最大限制，删除旧的 + if len(png_files) > max_count: + # 按修改时间排序，最新的在前面 + png_files.sort(key=os.path.getmtime, reverse=True) + + # 要删除的文件（保留最新的 max_count 个） + files_to_delete = png_files[max_count:] + + # 删除旧文件 + for file_path in files_to_delete: + try: + os.remove(file_path) + except Exception as e: + raise ValueError(f"Failed to delete screenshots {file_path}: {e}") + + def __enter__(self): + print("Creating session...") + self._playwright = sync_playwright().start() + self._browser = self._playwright.chromium.launch( + args=[ + "--disable-extensions", + "--disable-file-system", + "--disable-plugins", + "--disable-dev-shm-usage", + "--disable-background-networking", + "--disable-default-apps", + "--disable-sync", + # No '--no-sandbox' arg means the sandbox is on. + ], + headless=bool(os.environ.get("PLAYWRIGHT_HEADLESS", False)), + ) + self.cleanup_old_screenshots() + os.makedirs("cache/user_data", exist_ok=True) # 定义用户数据存储路径 + storage_state = "cache/user_data/state.json" if os.path.exists("cache/user_data/state.json") else None + self._context = self._browser.new_context( + viewport={ + "width": self._screen_size[0], + "height": self._screen_size[1], + }, + storage_state=storage_state + ) + + # user_data_dir="cache/user_data", # 保存用户信息，避免重复登录 + self._page = self._context.new_page() + self._page.goto(self._initial_url, wait_until="domcontentloaded") + + # # 放大110%字体大小，避免看不清 + # self._page.evaluate(""" + # (() => { + # const style = document.createElement('style'); + # style.innerHTML = ` + # * { + # font-size: 100% !important; + # } + # `; + # document.head.appendChild(style); + # })(); + # """) + + # 作为监听器，当self._context打开一个新tab时触发。拦截打开新的tab, 但记录打开的tab需要去到的url, 在当前页面中导航去到新url + # 这个CUM在一个时刻只支持一个tab + self._context.on("page", self._handle_new_page) + + # 关于左侧历史消息导航的侧边拦，对齐prompt中对genflow UI的描述，如果不是导航genflow, 可以跳过 + try: + chat_nav = self._page.locator('div[data-v-74198486].chat-nav') + is_expand = None + if chat_nav.count() > 0: + class_name = chat_nav.get_attribute("class") + if "show" in class_name: + is_expand = True + else: + is_expand = False + print(class_name) + else: + print("未找到左侧历史消息扩展栏元素") + if is_expand: + expand_icon = self._page.locator('.expand-icon') + if expand_icon.count() > 0: + expand_icon.click() + is_expand = False + else: + print("未找到左侧历史消息扩展栏点击元素") + except Exception as e: + raise ValueError("未找到左侧历史消息扩展栏元素") + + termcolor.cprint( + f"Started local playwright.", + color="green", + attrs=["bold"], + ) + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + if self._context: + self._context.storage_state(path="cache/user_data/state.json") # 这里在异常结束的时候是保存不了的 + self._context.close() + try: + self._browser.close() + except Exception as e: + # Browser was already shut down because of SIGINT or such. + if "Browser.close: Connection closed while reading from the driver" in str( + e + ): + pass + else: + raise + + self._playwright.stop() + + def open_web_browser(self) -> EnvState: + return self.current_state() + + def click_at(self, x: int, y: int): + self.highlight_mouse(x, y) + self._page.mouse.click(x, y) + self._page.wait_for_load_state() + return self.current_state() + + def hover_at(self, x: int, y: int): + self.highlight_mouse(x, y) + self._page.mouse.move(x, y) + self._page.wait_for_load_state() + return self.current_state() + + def type_text_at( + self, + x: int, + y: int, + text: str, + press_enter: bool = False, + clear_before_typing: bool = True, + ) -> EnvState: + self.highlight_mouse(x, y) + self._page.mouse.click(x, y) + self._page.wait_for_load_state() + + if clear_before_typing: + if sys.platform == "darwin": + self.key_combination(["Command", "A"]) + else: + self.key_combination(["Control", "A"]) + self.key_combination(["Delete"]) + + self._page.keyboard.type(text) + self._page.wait_for_load_state() + + if press_enter: + self.key_combination(["Enter"]) + self._page.wait_for_load_state() + return self.current_state() + + def _horizontal_document_scroll( + self, direction: Literal["left", "right"] + ) -> EnvState: + # Scroll by 50% of the viewport size. + horizontal_scroll_amount = self.screen_size()[0] // 2 + if direction == "left": + sign = "-" + else: + sign = "" + scroll_argument = f"{sign}{horizontal_scroll_amount}" + # Scroll using JS. + self._page.evaluate(f"window.scrollBy({scroll_argument}, 0); ") + self._page.wait_for_load_state() + return self.current_state() + + def scroll_document( + self, direction: Literal["up", "down", "left", "right"] + ) -> EnvState: + if direction == "down": + return self.key_combination(["PageDown"]) + elif direction == "up": + return self.key_combination(["PageUp"]) + elif direction in ("left", "right"): + return self._horizontal_document_scroll(direction) + else: + raise ValueError("Unsupported direction: ", direction) + + def scroll_at( + self, + x: int, + y: int, + direction: Literal["up", "down", "left", "right"], + magnitude: int = 800, + ) -> EnvState: + self.highlight_mouse(x, y) + + self._page.mouse.move(x, y) + self._page.wait_for_load_state() + + dx = 0 + dy = 0 + if direction == "up": + dy = -magnitude + elif direction == "down": + dy = magnitude + elif direction == "left": + dx = -magnitude + elif direction == "right": + dx = magnitude + else: + raise ValueError("Unsupported direction: ", direction) + + self._page.mouse.wheel(dx, dy) + self._page.wait_for_load_state() + return self.current_state() + + def wait_5_seconds(self) -> EnvState: + # del + time.sleep(20) + return self.current_state() + + def go_back(self) -> EnvState: + self._page.go_back() + self._page.wait_for_load_state() + return self.current_state() + + def go_forward(self) -> EnvState: + self._page.go_forward() + self._page.wait_for_load_state() + return self.current_state() + + def search(self) -> EnvState: + return self.navigate(self._search_engine_url) + + def navigate(self, url: str) -> EnvState: + normalized_url = url + if not normalized_url.startswith(("http://", "https://")): + normalized_url = "https://" + normalized_url + self._page.goto(normalized_url) + self._page.wait_for_load_state() + return self.current_state() + + def key_combination(self, keys: list[str]) -> EnvState: + # Normalize all keys to the Playwright compatible version. + keys = [PLAYWRIGHT_KEY_MAP.get(k.lower(), k) for k in keys] + + for key in keys[:-1]: + self._page.keyboard.down(key) + + self._page.keyboard.press(keys[-1]) + + for key in reversed(keys[:-1]): + self._page.keyboard.up(key) + + return self.current_state() + + def drag_and_drop( + self, x: int, y: int, destination_x: int, destination_y: int + ) -> EnvState: + self.highlight_mouse(x, y) + self._page.mouse.move(x, y) + self._page.wait_for_load_state() + self._page.mouse.down() + self._page.wait_for_load_state() + + self.highlight_mouse(destination_x, destination_y) + self._page.mouse.move(destination_x, destination_y) + self._page.wait_for_load_state() + self._page.mouse.up() + return self.current_state() + + def current_state(self) -> EnvState: + self._page.wait_for_load_state() + # Even if Playwright reports the page as loaded, it may not be so. + # Add a manual sleep to make sure the page has finished rendering. + time.sleep(0.5) + screenshot_bytes = self._page.screenshot(type="png", full_page=False) + + # del 保存截图 + from datetime import datetime + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + filename = f"logs/screenshot_{timestamp}.png" + with open(filename, "wb") as f: + f.write(screenshot_bytes) + + return EnvState(screenshot=screenshot_bytes, url=self._page.url) + + def screen_size(self) -> tuple[int, int]: + viewport_size = self._page.viewport_size + # If available, try to take the local playwright viewport size. + if viewport_size: + return viewport_size["width"], viewport_size["height"] + # If unavailable, fall back to the original provided size. + return self._screen_size + + def highlight_mouse(self, x: int, y: int): + if not self._highlight_mouse: + return + self._page.evaluate( + f""" + () => {{ + const element_id = "playwright-feedback-circle"; + const div = document.createElement('div'); + div.id = element_id; + div.style.pointerEvents = 'none'; + div.style.border = '4px solid red'; + div.style.borderRadius = '50%'; + div.style.width = '20px'; + div.style.height = '20px'; + div.style.position = 'fixed'; + div.style.zIndex = '9999'; + document.body.appendChild(div); + + div.hidden = false; + div.style.left = {x} - 10 + 'px'; + div.style.top = {y} - 10 + 'px'; + + setTimeout(() => {{ + div.hidden = true; + }}, 2000); + }} + """ + ) + # Wait a bit for the user to see the cursor. + time.sleep(1) diff --git a/genflow.py b/genflow.py new file mode 100644 index 0000000000000000000000000000000000000000..6bccf4b82cd85eb2393e372ce4db0f35df16f572 --- /dev/null +++ b/genflow.py @@ -0,0 +1,178 @@ +# Copyright 2025 Google LLC +# +# 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. +import argparse +import os + +from agent import BrowserAgent +from computers import BrowserbaseComputer, PlaywrightComputer + + +PLAYWRIGHT_SCREEN_SIZE = (1440, 900) + + +def main() -> int: + parser = argparse.ArgumentParser(description="Run the browser agent with a query.") + parser.add_argument( + "--query", + type=str, + required=True, + help="The query for the browser agent to execute.", + ) + + parser.add_argument( + "--env", + type=str, + choices=("playwright", "browserbase"), + default="playwright", + help="The computer use environment to use.", + ) + parser.add_argument( + "--initial_url", + type=str, + default="https://www.google.com", + help="The inital URL loaded for the computer.", + ) + parser.add_argument( + "--highlight_mouse", + action="store_true", + default=False, + help="If possible, highlight the location of the mouse.", + ) + parser.add_argument( + "--model", + default='gemini-2.5-computer-use-preview-10-2025', + help="Set which main model to use.", + ) + args = parser.parse_args() + + + if args.env == "playwright": + env = PlaywrightComputer( + screen_size=PLAYWRIGHT_SCREEN_SIZE, + initial_url=args.initial_url, + highlight_mouse=args.highlight_mouse, + ) + elif args.env == "browserbase": + env = BrowserbaseComputer( + screen_size=PLAYWRIGHT_SCREEN_SIZE, + initial_url=args.initial_url + ) + else: + raise ValueError("Unknown environment: ", args.env) + + with env as browser_computer: + agent = BrowserAgent( + browser_computer=browser_computer, + query=args.query, + model_name=args.model, + ) + agent.agent_loop() + return 0 + + +def run_genflow(): + env = PlaywrightComputer( + screen_size=PLAYWRIGHT_SCREEN_SIZE, + initial_url="https://wenku.baidu.com/ndcore/browse/aiunion?fr=options_AIcard_1&_wkts_=1761290807747&bdQuery=genflow&t=1761290807744&tabType=genflow&aiCreat=genflow", + # initial_url="https://www.doubao.com/chat/", + highlight_mouse=True, # 如果指定，代理将尝试在屏幕截图中突出显示鼠标光标的位置。这对于可视化调试很有用。 + ) + # query="在提示文本为'输入问题，交给GenFlow的'搜索条中输入‘百度’，点击发送按钮", + search_query = [ + "《劳动法》中关于加班与调休的相关规定解读", + "不到喀什游不算到新疆，不到古城游不算到喀什，最后一天来一场深度的早到晚古城游！", + "为何说地球正处在5大灾难性生态临界点？", + "为什么要进行展示设计案例分析", + "镜子为什么不能正对床？", + "鹅绒羽绒服比鸭绒羽绒服好在哪？", + "如何从根本解决宿舍问题，改善职工住宿条件？", + "独生子女为什么不能全部继承父母遗产？", + "写一篇忧郁文艺小诗 一节六句话", + "9.3阅兵有哪些国家参加", + "今年戛纳电影节有哪些国家的影片参展", + "最近的世界移动通信大会有哪些国家的企业参会", + "今年日本东京国际动漫节吸引了哪些国家的动漫团队参与", + "今年年大阪·关西世界园艺博览会有哪些国家设立展馆", + "最近德国法兰克福国际车展有哪些国家的汽车品牌亮相", + "第九届世界无人机大会有哪些国家的企业和团队参加", + "最近亚洲物流展CeMAT有哪些国家的物流企业参展", + "最近世界教育创新峰会有哪些国家的教育机构代表出席", + "2025年意大利美食节有哪些国家带来特色美食展示" + ] + query = "帮我生成一份关于新能源领域的投资报告" + citerion = """ +核心评价维度： + +1. 内容与逻辑 (灵魂) + - 清晰的投资论点: 报告是否有明确、可验证的“买入/卖出”观点及目标价？观点是否新颖，提供了市场尚未察觉的洞察？ + - 严谨的逻辑链条: 从行业分析到公司研究，再到财务估值，所有论据是否像积木一样牢固支撑核心论点？推理过程是否严密，无逻辑跳跃？ + - 研究的深度与广度: 是否覆盖了行业（格局、驱动）、公司（模式、护城河）、财务（三张表、比率）和估值（假设合理性）？ + +2. 数据与事实 (基石) + - 准确性与时效性: 数据是否准确？来源（年报、权威统计）是否可靠？信息是否最新？ + - 相关性与解读: 数据是否与论点强相关？是否对数据背后的业务含义进行了深入解读，而非简单罗列？ + +3. 结构与表达 (骨架) + - 结构清晰: 是否有清晰的摘要、目录和逻辑流程？（例如：摘要->行业->公司->财务->估值->风险->结论） + - 语言专业: 语言是否精炼、客观、准确？专业术语使用是否恰当？ + - 可视化: 图表是否清晰、直观？排版是否专业，重点突出？ + +4. 客观性与风险意识 (灵魂试金石) + - 客观中立: 是否同时呈现了正反论据？是否存在明显偏见？ + - 全面的风险分析: 是否识别并深入分析了关键的下行风险（行业、公司、宏观、估值）？是否讨论了风险对投资论点的影响？""" + + query = "查找5个简历模板链接" + citerion = "通过访问链接确保每一条都是有效的, 并且资源链接的数量是否满足5条。有时候链接通过页面卡片提供，你需要通过点击卡片进行链接跳转。" + prompt = f""" +GenFlow是一个AI聊天机器人。对于给定的问题，他会执行'任务规划'，'任务执行'，'输出结果'三个步骤。 +在GenFlow执行每个步骤时，'任务规划'，'任务执行'，'输出结果'会分别呈现黑色或灰色。黑色代表该步骤完成，灰色代表该步骤未完成。 +你需要作为测试员，在它的网页底部搜索栏中输入用户提交的问题，在GenFlow执行完三个任务后，客观地判断其最终是否按照给定标准:{citerion} 回答了问题。 + +GenFlow返回的内容可能比较长，你可以多次执行'scroll_at'操作来查看网页中它返回的上下文。 +GenFlow有时会呈现左边主页面，右边预览区域。在这种情况下执行'scroll_at'的时候你要注意鼠标位置。 +通过反复的滚动，确保主页面和预览区域已经滚动到底。预览区域往往很长，所以你需要多次执行'scroll_at'操作，确保2次滚动操作看到的网页完全一样为止, 给出最终客观评价. + +GenFlow一定会给出'输出结果'，请保持足够的耐心！ +Regardless of the input language, you need to output in Chinese. +""" + + citerion = """提交任务"1+1，2+3和4+5",判断结果分别是不是2，5，9""" + query = f"""比较genflow和doubao哪个在数学计算上的能力更好。标准: {citerion}""" + prompt = f""" +GenFlow和DouBao是2个AI聊天机器人。 +你需要作为测试员，根据用户需求在它们的网页端搜索栏中输入问题，评测它们的能力 +初始状态你处于DouBao的首页，在测试完毕后，你需要切换到GenFlow的首页进行测试。然后给出最终结论 +DouBao的url是 https://www.doubao.com/chat/ +GenFlow的url是 https://wenku.baidu.com/ndcore/browse/aiunion?fr=options_AIcard_1&_wkts_=1761290807747&bdQuery=genflow&t=1761290807744&tabType=genflow&aiCreat=genflow" + +AI返回的内容可能比较长，你可以多次执行'scroll_at'操作来查看网页中它们返回的上下文。 +你需要多次执行'scroll_at'操作，确保2次滚动操作看到的网页完全一样为止, 给出最终客观评价. + +Regardless of the input language, you need to output in Chinese. + """ + + with env as browser_computer: + agent = BrowserAgent( + browser_computer=browser_computer, + query=query, + system_prompt=prompt, + model_name='gemini-2.5-computer-use-preview-10-2025', + ) + agent.agent_loop() + # pass + + + +if __name__ == "__main__": + run_genflow() diff --git a/logs/.DS_Store b/logs/.DS_Store new file mode 100644 index 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0000000000000000000000000000000000000000..0f2ae5f8e04d9e4b5648a20a2dc5b0ab45f866cb Binary files /dev/null and b/logs/screenshot_20251106_144438.png differ diff --git a/logs/screenshot_20251106_144447.png b/logs/screenshot_20251106_144447.png new file mode 100644 index 0000000000000000000000000000000000000000..7bfae94e77e95e38963beab7a86198cc10bbae8e Binary files /dev/null and b/logs/screenshot_20251106_144447.png differ diff --git a/prompt/__init__.py b/prompt/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f1e2b29c2c61c01ff17611c90a38e5f5022b943e --- /dev/null +++ b/prompt/__init__.py @@ -0,0 +1,2 @@ +# 改为绝对导入 +from .system_prompt_options import prompt_options \ No newline at end of file diff --git a/prompt/system_prompt_options.py b/prompt/system_prompt_options.py new file mode 100644 index 0000000000000000000000000000000000000000..96063429a5b3f5f03ffb1849cb2fe81fd498c7ae --- /dev/null +++ b/prompt/system_prompt_options.py @@ -0,0 +1,30 @@ +# 定义选项映射（前端显示 key，后端对应 value） +prompt_options = { + "简单问答": "回答和问题是否相关", + "复杂模式（q = 生成一份关于新能源领域的投资报告）": """ +GenFlow 对于给定的问题，会执行'任务规划'，'任务执行'，'输出结果'三个步骤。 +在 GenFlow 执行每个步骤时，'任务规划'，'任务执行'，'输出结果'会分别呈现黑色或灰色。黑色代表该步骤完成，灰色代表该步骤未完成。 +你需要在 GenFlow 执行完三个任务后，客观地判断其最终是否按照给定标准回答了问题。 + +**评估标准** +核心评价维度： +1. 内容与逻辑 (灵魂) + - 清晰的投资论点: 报告是否有明确、可验证的“买入/卖出”观点及目标价？观点是否新颖，提供了市场尚未察觉的洞察？ + - 严谨的逻辑链条: 从行业分析到公司研究，再到财务估值，所有论据是否像积木一样牢固支撑核心论点？推理过程是否严密，无逻辑跳跃？ + - 研究的深度与广度: 是否覆盖了行业（格局、驱动）、公司（模式、护城河）、财务（三张表、比率）和估值（假设合理性）？ + +2. 数据与事实 (基石) + - 准确性与时效性: 数据是否准确？来源（年报、权威统计）是否可靠？信息是否最新？ + - 相关性与解读: 数据是否与论点强相关？是否对数据背后的业务含义进行了深入解读，而非简单罗列？ + +3. 结构与表达 (骨架) + - 结构清晰: 是否有清晰的摘要、目录和逻辑流程？（例如：摘要->行业->公司->财务->估值->风险->结论） + - 语言专业: 语言是否精炼、客观、准确？专业术语使用是否恰当？ + - 可视化: 图表是否清晰、直观？排版是否专业，重点突出？ + +4. 客观性与风险意识 (灵魂试金石) + - 客观中立: 是否同时呈现了正反论据？是否存在明显偏见？ + - 全面的风险分析: 是否识别并深入分析了关键的下行风险（行业、公司、宏观、估值）？是否讨论了风险对投资论点的影响？ +""", + "无":"" +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..cab25ed6db23caf92fe088347f9315139f06254e --- /dev/null +++ b/requirements.txt @@ -0,0 +1,7 @@ +termcolor==3.1.0 +pydantic==2.11.4 +google-genai>=1.40.0 +playwright==1.52.0 +browserbase==1.3.0 +rich +pytest diff --git a/test_agent.py b/test_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..c00149356dd76f33c2f3bf4d0654df1803156196 --- /dev/null +++ b/test_agent.py @@ -0,0 +1,111 @@ +# Copyright 2025 Google LLC +# +# 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. + +import os +import unittest +from unittest.mock import MagicMock, patch +from google.genai import types +from agent import BrowserAgent, multiply_numbers +from computers import EnvState + +class TestBrowserAgent(unittest.TestCase): + def setUp(self): + os.environ["GEMINI_API_KEY"] = "test_api_key" + self.mock_browser_computer = MagicMock() + self.mock_browser_computer.screen_size.return_value = (1000, 1000) + self.agent = BrowserAgent( + browser_computer=self.mock_browser_computer, + query="test query", + model_name="test_model" + ) + # Mock the genai client + self.agent._client = MagicMock() + + def test_multiply_numbers(self): + self.assertEqual(multiply_numbers(2, 3), {"result": 6}) + + def test_handle_action_open_web_browser(self): + action = types.FunctionCall(name="open_web_browser", args={}) + self.agent.handle_action(action) + self.mock_browser_computer.open_web_browser.assert_called_once() + + def test_handle_action_click_at(self): + action = types.FunctionCall(name="click_at", args={"x": 100, "y": 200}) + self.agent.handle_action(action) + self.mock_browser_computer.click_at.assert_called_once_with(x=100, y=200) + + def test_handle_action_type_text_at(self): + action = types.FunctionCall(name="type_text_at", args={"x": 100, "y": 200, "text": "hello"}) + self.agent.handle_action(action) + self.mock_browser_computer.type_text_at.assert_called_once_with( + x=100, y=200, text="hello", press_enter=False, clear_before_typing=True + ) + + def test_handle_action_scroll_document(self): + action = types.FunctionCall(name="scroll_document", args={"direction": "down"}) + self.agent.handle_action(action) + self.mock_browser_computer.scroll_document.assert_called_once_with("down") + + def test_handle_action_navigate(self): + action = types.FunctionCall(name="navigate", args={"url": "https://example.com"}) + self.agent.handle_action(action) + self.mock_browser_computer.navigate.assert_called_once_with("https://example.com") + + def test_handle_action_unknown_function(self): + action = types.FunctionCall(name="unknown_function", args={}) + with self.assertRaises(ValueError): + self.agent.handle_action(action) + + def test_denormalize_x(self): + self.assertEqual(self.agent.denormalize_x(500), 500) + + def test_denormalize_y(self): + self.assertEqual(self.agent.denormalize_y(500), 500) + + @patch('agent.BrowserAgent.get_model_response') + def test_run_one_iteration_no_function_calls(self, mock_get_model_response): + mock_response = MagicMock() + mock_candidate = MagicMock() + mock_candidate.content.parts = [types.Part(text="some reasoning")] + mock_response.candidates = [mock_candidate] + mock_get_model_response.return_value = mock_response + + result = self.agent.run_one_iteration() + + self.assertEqual(result, "COMPLETE") + self.assertEqual(len(self.agent._contents), 2) + self.assertEqual(self.agent._contents[1], mock_candidate.content) + + @patch('agent.BrowserAgent.get_model_response') + @patch('agent.BrowserAgent.handle_action') + def test_run_one_iteration_with_function_call(self, mock_handle_action, mock_get_model_response): + mock_response = MagicMock() + mock_candidate = MagicMock() + function_call = types.FunctionCall(name="navigate", args={"url": "https://example.com"}) + mock_candidate.content.parts = [types.Part(function_call=function_call)] + mock_response.candidates = [mock_candidate] + mock_get_model_response.return_value = mock_response + + mock_env_state = EnvState(screenshot=b"screenshot", url="https://example.com") + mock_handle_action.return_value = mock_env_state + + result = self.agent.run_one_iteration() + + self.assertEqual(result, "CONTINUE") + mock_handle_action.assert_called_once_with(function_call) + self.assertEqual(len(self.agent._contents), 3) + + +if __name__ == "__main__": + unittest.main() diff --git a/test_main.py b/test_main.py new file mode 100644 index 0000000000000000000000000000000000000000..4bee9ffa15d482a9388d0da965673ebc73b5e0a2 --- /dev/null +++ b/test_main.py @@ -0,0 +1,69 @@ +# Copyright 2025 Google LLC +# +# 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. + +import unittest +from unittest.mock import patch, MagicMock +import main + +class TestMain(unittest.TestCase): + + @patch('main.argparse.ArgumentParser') + @patch('main.PlaywrightComputer') + @patch('main.BrowserAgent') + def test_main_playwright(self, mock_browser_agent, mock_playwright_computer, mock_arg_parser): + mock_args = MagicMock() + mock_args.env = 'playwright' + mock_args.initial_url = 'test_url' + mock_args.highlight_mouse = True + mock_args.query = 'test_query' + mock_args.model = 'test_model' + mock_args.api_server = None + mock_args.api_server_key = None + mock_arg_parser.return_value.parse_args.return_value = mock_args + + main.main() + + mock_playwright_computer.assert_called_once_with( + screen_size=main.PLAYWRIGHT_SCREEN_SIZE, + initial_url='test_url', + highlight_mouse=True + ) + mock_browser_agent.assert_called_once() + mock_browser_agent.return_value.agent_loop.assert_called_once() + + @patch('main.argparse.ArgumentParser') + @patch('main.BrowserbaseComputer') + @patch('main.BrowserAgent') + def test_main_browserbase(self, mock_browser_agent, mock_browserbase_computer, mock_arg_parser): + mock_args = MagicMock() + mock_args.env = 'browserbase' + mock_args.query = 'test_query' + mock_args.model = 'test_model' + mock_args.api_server = None + mock_args.api_server_key = None + mock_args.initial_url = 'test_url' + mock_args.highlight_mouse = False + mock_arg_parser.return_value.parse_args.return_value = mock_args + + main.main() + + mock_browserbase_computer.assert_called_once_with( + screen_size=main.PLAYWRIGHT_SCREEN_SIZE, + initial_url='test_url' + ) + mock_browser_agent.assert_called_once() + mock_browser_agent.return_value.agent_loop.assert_called_once() + +if __name__ == '__main__': + unittest.main()