├── .devcontainer └── devcontainer.json ├── .env ├── .gitattributes ├── .github └── workflows │ ├── lint.yml │ └── tests.yml ├── .gitignore ├── .vscode └── settings.json ├── CODE_OF_CONDUCT.md ├── Dockerfile ├── LICENSE ├── Makefile ├── README.md ├── chromegpt ├── __init__.py ├── __main__.py ├── agent │ ├── __init__.py │ ├── autogpt │ │ ├── __init__.py │ │ ├── autogpt.py │ │ └── prompt.py │ ├── chromegpt_agent.py │ ├── utils.py │ └── zeroshot.py ├── main.py └── tools │ ├── __init__.py │ ├── driver.py │ ├── selenium.py │ └── utils.py ├── docker-compose.yaml ├── poetry.lock ├── pyproject.toml └── tests ├── __init__.py └── test_selenium.py /.devcontainer/devcontainer.json: -------------------------------------------------------------------------------- 1 | { 2 | "dockerComposeFile": "../docker-compose.yaml", 3 | "service": "chromegpt", 4 | "workspaceFolder": "/app", 5 | "customizations": { 6 | "vscode": { 7 | "extensions": [ 8 | "ms-python.python", 9 | "ms-python.vscode-pylance", 10 | "ms-toolsai.jupyter" 11 | ] 12 | } 13 | }, 14 | "forwardPorts": [3000,4444,7900,5900], 15 | "shutdownAction": "stopCompose" 16 | } 17 | -------------------------------------------------------------------------------- /.env: -------------------------------------------------------------------------------- 1 | # uncomment to run task 2 | #OPENAI_API_KEY=sk- 3 | #REQUEST="Find me a bar that can host a 20 person event near Chelsea, Manhattan evening of Apr 30th. Fill out contact us form if they have one with info: Name Richard, email he@hrichard.com." 4 | #TARGET=base 5 | -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.github/workflows/lint.yml: -------------------------------------------------------------------------------- 1 | name: lint 2 | env: 3 | TARGET: 'test' 4 | MAKE: 'lint' 5 | on: 6 | push: 7 | branches: [main] 8 | pull_request: 9 | 10 | jobs: 11 | build: 12 | runs-on: ubuntu-latest 13 | strategy: 14 | matrix: 15 | python-version: 16 | - "3.10" 17 | steps: 18 | - name: Checkout 19 | uses: actions/checkout@v3 20 | - name: Free disk space 21 | run: | 22 | df --human-readable 23 | sudo apt clean 24 | docker 2>/dev/null 1>&2 rmi $(docker image ls --all --quiet) || true 25 | rm --recursive --force "$AGENT_TOOLSDIRECTORY" 26 | df --human-readable 27 | - name: Test with pytest 28 | run: docker-compose up --abort-on-container-exit 29 | -------------------------------------------------------------------------------- /.github/workflows/tests.yml: -------------------------------------------------------------------------------- 1 | name: tests 2 | env: 3 | TARGET: 'test' 4 | MAKE: 'tests' 5 | on: 6 | push: 7 | branches: [main] 8 | pull_request: 9 | 10 | jobs: 11 | build: 12 | runs-on: ubuntu-latest 13 | strategy: 14 | matrix: 15 | python-version: 16 | - "3.10" 17 | steps: 18 | - name: Checkout 19 | uses: actions/checkout@v3 20 | - name: Free disk space 21 | run: | 22 | df --human-readable 23 | sudo apt clean 24 | docker 2>/dev/null 1>&2 rmi $(docker image ls --all --quiet) || true 25 | rm --recursive --force "$AGENT_TOOLSDIRECTORY" 26 | df --human-readable 27 | - name: Test with pytest 28 | run: docker-compose up --abort-on-container-exit 29 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 105 | __pypackages__/ 106 | 107 | # Celery stuff 108 | celerybeat-schedule 109 | celerybeat.pid 110 | 111 | # SageMath parsed files 112 | *.sage.py 113 | 114 | # Environments 115 | .env 116 | .venv 117 | env/ 118 | venv/ 119 | ENV/ 120 | env.bak/ 121 | venv.bak/ 122 | 123 | # Spyder project settings 124 | .spyderproject 125 | .spyproject 126 | 127 | # Rope project settings 128 | .ropeproject 129 | 130 | # mkdocs documentation 131 | /site 132 | 133 | # mypy 134 | .mypy_cache/ 135 | .dmypy.json 136 | dmypy.json 137 | 138 | # Pyre type checker 139 | .pyre/ 140 | 141 | # pytype static type analyzer 142 | .pytype/ 143 | 144 | # Cython debug symbols 145 | cython_debug/ 146 | 147 | # PyCharm 148 | # JetBrains specific template is maintainted in a separate JetBrains.gitignore that can 149 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 150 | # and can be added to the global gitignore or merged into this file. For a more nuclear 151 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 152 | #.idea/ 153 | -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.testing.pytestArgs": [ 3 | "." 4 | ], 5 | "python.testing.unittestEnabled": false, 6 | "python.testing.pytestEnabled": true 7 | } -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Contributor Covenant Code of Conduct 2 | 3 | ## Our Pledge 4 | 5 | We as members, contributors, and leaders pledge to make participation in our 6 | community a harassment-free experience for everyone, regardless of age, body 7 | size, visible or invisible disability, ethnicity, sex characteristics, gender 8 | identity and expression, level of experience, education, socio-economic status, 9 | nationality, personal appearance, race, religion, or sexual identity 10 | and orientation. 11 | 12 | We pledge to act and interact in ways that contribute to an open, welcoming, 13 | diverse, inclusive, and healthy community. 14 | 15 | ## Our Standards 16 | 17 | Examples of behavior that contributes to a positive environment for our 18 | community include: 19 | 20 | * Demonstrating empathy and kindness toward other people 21 | * Being respectful of differing opinions, viewpoints, and experiences 22 | * Giving and gracefully accepting constructive feedback 23 | * Accepting responsibility and apologizing to those affected by our mistakes, 24 | and learning from the experience 25 | * Focusing on what is best not just for us as individuals, but for the 26 | overall community 27 | 28 | Examples of unacceptable behavior include: 29 | 30 | * The use of sexualized language or imagery, and sexual attention or 31 | advances of any kind 32 | * Trolling, insulting or derogatory comments, and personal or political attacks 33 | * Public or private harassment 34 | * Publishing others' private information, such as a physical or email 35 | address, without their explicit permission 36 | * Other conduct which could reasonably be considered inappropriate in a 37 | professional setting 38 | 39 | ## Enforcement Responsibilities 40 | 41 | Community leaders are responsible for clarifying and enforcing our standards of 42 | acceptable behavior and will take appropriate and fair corrective action in 43 | response to any behavior that they deem inappropriate, threatening, offensive, 44 | or harmful. 45 | 46 | Community leaders have the right and responsibility to remove, edit, or reject 47 | comments, commits, code, wiki edits, issues, and other contributions that are 48 | not aligned to this Code of Conduct, and will communicate reasons for moderation 49 | decisions when appropriate. 50 | 51 | ## Scope 52 | 53 | This Code of Conduct applies within all community spaces, and also applies when 54 | an individual is officially representing the community in public spaces. 55 | Examples of representing our community include using an official e-mail address, 56 | posting via an official social media account, or acting as an appointed 57 | representative at an online or offline event. 58 | 59 | ## Enforcement 60 | 61 | Instances of abusive, harassing, or otherwise unacceptable behavior may be 62 | reported to the community leaders responsible for enforcement at 63 | he@hrichard.com. 64 | All complaints will be reviewed and investigated promptly and fairly. 65 | 66 | All community leaders are obligated to respect the privacy and security of the 67 | reporter of any incident. 68 | 69 | ## Enforcement Guidelines 70 | 71 | Community leaders will follow these Community Impact Guidelines in determining 72 | the consequences for any action they deem in violation of this Code of Conduct: 73 | 74 | ### 1. Correction 75 | 76 | **Community Impact**: Use of inappropriate language or other behavior deemed 77 | unprofessional or unwelcome in the community. 78 | 79 | **Consequence**: A private, written warning from community leaders, providing 80 | clarity around the nature of the violation and an explanation of why the 81 | behavior was inappropriate. A public apology may be requested. 82 | 83 | ### 2. Warning 84 | 85 | **Community Impact**: A violation through a single incident or series 86 | of actions. 87 | 88 | **Consequence**: A warning with consequences for continued behavior. No 89 | interaction with the people involved, including unsolicited interaction with 90 | those enforcing the Code of Conduct, for a specified period of time. This 91 | includes avoiding interactions in community spaces as well as external channels 92 | like social media. Violating these terms may lead to a temporary or 93 | permanent ban. 94 | 95 | ### 3. Temporary Ban 96 | 97 | **Community Impact**: A serious violation of community standards, including 98 | sustained inappropriate behavior. 99 | 100 | **Consequence**: A temporary ban from any sort of interaction or public 101 | communication with the community for a specified period of time. No public or 102 | private interaction with the people involved, including unsolicited interaction 103 | with those enforcing the Code of Conduct, is allowed during this period. 104 | Violating these terms may lead to a permanent ban. 105 | 106 | ### 4. Permanent Ban 107 | 108 | **Community Impact**: Demonstrating a pattern of violation of community 109 | standards, including sustained inappropriate behavior, harassment of an 110 | individual, or aggression toward or disparagement of classes of individuals. 111 | 112 | **Consequence**: A permanent ban from any sort of public interaction within 113 | the community. 114 | 115 | ## Attribution 116 | 117 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], 118 | version 2.0, available at 119 | https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. 120 | 121 | Community Impact Guidelines were inspired by [Mozilla's code of conduct 122 | enforcement ladder](https://github.com/mozilla/diversity). 123 | 124 | [homepage]: https://www.contributor-covenant.org 125 | 126 | For answers to common questions about this code of conduct, see the FAQ at 127 | https://www.contributor-covenant.org/faq. Translations are available at 128 | https://www.contributor-covenant.org/translations. 129 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM python:3.8 as base 2 | 3 | WORKDIR /app 4 | 5 | # setup code 6 | COPY . . 7 | RUN pip install poetry==1.4.2 8 | 9 | # Install dependencies using Poetry 10 | RUN poetry config virtualenvs.create false && \ 11 | poetry install --no-interaction --no-ansi 12 | 13 | CMD python -m chromegpt -v -t "${REQUEST}" 14 | 15 | # image to dev 16 | FROM base as dev 17 | CMD sh -c "while sleep 1000; do :; done" 18 | 19 | # image to run tests 20 | FROM base as test 21 | ARG MAKE="tests" 22 | CMD make $MAKE 23 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 1 | .PHONY: tests lint lint_diff 2 | PYTHON_FILES=. 3 | lint: PYTHON_FILES=. 4 | lint_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$') 5 | 6 | lint lint_diff: 7 | poetry run mypy $(PYTHON_FILES) 8 | poetry run black $(PYTHON_FILES) --check --preview 9 | poetry run ruff . 10 | 11 | format: 12 | poetry run black . --preview 13 | poetry run ruff . --fix 14 | 15 | tests: 16 | poetry run pytest tests 17 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 🤖 Chrome-GPT: An experimental AutoGPT agent that interacts with Chrome 2 | 3 | [![lint](https://github.com/richardyc/chrome-gpt/actions/workflows/lint.yml/badge.svg)](https://github.com/richardyc/chrome-gpt/actions/workflows/lint.yml) [![test](https://github.com/richardyc/chrome-gpt/actions/workflows/tests.yml/badge.svg)](https://github.com/richardyc/chrome-gpt/actions/workflows/tests.yml) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/RealRichomie.svg?style=social&label=Follow%20%40RealRichomie)](https://twitter.com/RealRichomie) 4 | 5 | 6 | ⚠️This is an experimental AutoGPT agent that might take incorrect actions and could lead to serious consequences. Please use it at your own discretion⚠️ 7 | 8 | Chrome-GPT is an AutoGPT experiment that utilizes [Langchain](https://github.com/hwchase17/langchain) and [Selenium](https://github.com/SeleniumHQ/selenium) to enable an AutoGPT agent take control of an entire Chrome session. With the ability to interactively scroll, click, and input text on web pages, the AutoGPT agent can navigate and manipulate web content. 9 | 10 |

🖥️ Demo

11 | 12 | Input Prompt: `Find me a bar that can host a 20 person event near Chelsea, Manhattan evening of Apr 30th. Fill out contact us form if they have one with info: Name Richard, email he@hrichard.com.` 13 | 14 | https://user-images.githubusercontent.com/14324698/234191011-ec73af54-4a8e-4298-be1d-4252050f08c1.mov 15 | 16 | Demo made by [Richard He](https://twitter.com/RealRichomie) 17 | 18 |

🔮 Features

19 | 20 | - 🌎 Google search 21 | - 🧠 Long-term and short-term memory management 22 | - 🔨 Chrome actions: describe a webpage, scroll to element, click on buttons/links, input forms, switch tabs 23 | - 🤖 Supports multiple agent types: Zero-shot, BabyAGI and Auto-GPT 24 | - 🔥 (IN PROGRESS) Chrome plugin support 25 | 26 |

🧱 Known Limitations

27 | 28 | - There are limited web crawling features, with buttons and input fields sometimes failing to appear in prompt. 29 | - The response time is slow, with each action taking between 1-10 seconds to run. 30 | - At times, langchain agents are unable to parse GPT outputs (refer to langchain discussion: https://github.com/hwchase17/langchain/discussions/4065). If you run into this, try specifying a different agent; ie: `python -m chromegpt -a auto-gpt -v -t "{your request}"` 31 | 32 |

Requirements

33 | 34 | - Chrome 35 | - Python >3.8 36 | - Install [Poetry](https://python-poetry.org/docs/#installation) 37 | 38 |

🛠️ Setup

39 | 40 | 1. Set up your OpenAI [API Keys](https://platform.openai.com/account/api-keys) and add `OPENAI_API_KEY` env variable 41 | 2. Install Python requirements via poetry `poetry install` 42 | 3. Open a poetry shell `poetry shell` 43 | 4. Run chromegpt via `python -m chromegpt` 44 | 45 | 46 | You can start in you own codespace here: 47 | 48 | [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/erlichsefi/Chrome-GPT/codespaces) 49 | 50 |

🧠 Usage

51 | 52 | - GPT-3.5 Usage (Default): `python -m chromegpt -v -t "{your request}"` 53 | - GPT-4 Usage (Recommended, needs GPT-4 access): `python -m chromegpt -v -a auto-gpt -m gpt-4 -t "{your request}"` 54 | - For help: `python -m chromegpt --help` 55 | ``` 56 | Usage: python -m chromegpt [OPTIONS] 57 | 58 | Run ChromeGPT: An AutoGPT agent that interacts with Chrome 59 | 60 | Options: 61 | -t, --task TEXT The task to execute [required] 62 | -a, --agent [auto-gpt|baby-agi|zero-shot] 63 | The agent type to use 64 | -m, --model TEXT The model to use 65 | --headless Run in headless mode 66 | -v, --verbose Run in verbose mode 67 | --human-in-loop Run in human-in-loop mode, only available 68 | when using auto-gpt agent 69 | --help Show this message and exit. 70 | ``` 71 | 72 | Or Just update .env and 73 | 74 | `source .env && docker-compose up` 75 | 76 |

⭐ Star History

77 | 78 | [![Star History Chart](https://api.star-history.com/svg?repos=richardyc/Chrome-GPT&type=Date)](https://star-history.com/#richardyc/Chrome-GPT&Date) 79 | 80 | -------------------------------------------------------------------------------- /chromegpt/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/richardyc/Chrome-GPT/96e2f6cee8cd5914da4a7f46da809ff9f2285343/chromegpt/__init__.py -------------------------------------------------------------------------------- /chromegpt/__main__.py: -------------------------------------------------------------------------------- 1 | """Chrome-GPT: An AutoGPT agent that interacts with Chrome""" 2 | import click 3 | 4 | from chromegpt.main import run_chromegpt 5 | 6 | 7 | @click.command() 8 | @click.option("--task", "-t", help="The task to execute", required=True) 9 | @click.option( 10 | "--agent", 11 | "-a", 12 | help="The agent type to use", 13 | default="zero-shot", 14 | type=click.Choice(["auto-gpt", "baby-agi", "zero-shot"], case_sensitive=False), 15 | ) 16 | @click.option("--model", "-m", help="The model to use", default="gpt-3.5-turbo") 17 | @click.option("--headless", help="Run in headless mode", is_flag=True) 18 | @click.option("--verbose", "-v", help="Run in verbose mode", is_flag=True) 19 | @click.option( 20 | "--human-in-loop", 21 | help="Run in human-in-loop mode, only available when using auto-gpt agent", 22 | is_flag=True, 23 | ) 24 | def main( 25 | task: str, 26 | agent: str, 27 | model: str = "gpt-3.5-turbo", 28 | headless: bool = False, 29 | verbose: bool = False, 30 | human_in_loop: bool = False, 31 | ) -> str: 32 | """Run ChromeGPT: An AutoGPT agent that interacts with Chrome""" 33 | return run_chromegpt( 34 | task=task, 35 | model=model, 36 | agent=agent, 37 | headless=headless, 38 | verbose=verbose, 39 | continuous=not human_in_loop, 40 | ) 41 | 42 | 43 | if __name__ == "__main__": 44 | main() 45 | -------------------------------------------------------------------------------- /chromegpt/agent/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/richardyc/Chrome-GPT/96e2f6cee8cd5914da4a7f46da809ff9f2285343/chromegpt/agent/__init__.py -------------------------------------------------------------------------------- /chromegpt/agent/autogpt/__init__.py: -------------------------------------------------------------------------------- 1 | """Module for the AutoGPT agent.""" 2 | from .autogpt import AutoGPTAgent # noqa: F401 3 | -------------------------------------------------------------------------------- /chromegpt/agent/autogpt/autogpt.py: -------------------------------------------------------------------------------- 1 | """Module for the AutoGPT agent. Optimized for GPT-4 use.""" 2 | from typing import List 3 | 4 | from langchain import LLMChain 5 | from langchain.chat_models import ChatOpenAI 6 | from langchain.experimental import AutoGPT 7 | from langchain.experimental.autonomous_agents.autogpt.output_parser import ( 8 | AutoGPTOutputParser, 9 | ) 10 | from langchain.tools.human.tool import HumanInputRun 11 | 12 | from chromegpt.agent.autogpt.prompt import AutoGPTPrompt 13 | from chromegpt.agent.chromegpt_agent import ChromeGPTAgent 14 | from chromegpt.agent.utils import get_agent_tools, get_vectorstore 15 | 16 | 17 | class AutoGPTAgent(ChromeGPTAgent): 18 | """AutoGPT agent for ChromeGPT. Note that this agent is optimized for GPT-4 use.""" 19 | 20 | def __init__( 21 | self, model: str = "gpt-4", verbose: bool = False, continuous: bool = True 22 | ) -> None: 23 | """Initialize the ZeroShotAgent.""" 24 | self.agent = self._get_autogpt_agent( 25 | llm=ChatOpenAI(model_name=model, temperature=0), # type: ignore 26 | verbose=verbose, 27 | human_in_the_loop=not continuous, 28 | ) 29 | self.model = model 30 | 31 | def _get_autogpt_agent( 32 | self, llm: ChatOpenAI, verbose: bool, human_in_the_loop: bool = False 33 | ) -> AutoGPT: 34 | vectorstore = get_vectorstore() 35 | tools = get_agent_tools() 36 | ai_name = "Jarvis" 37 | 38 | prompt = AutoGPTPrompt( 39 | ai_name=ai_name, 40 | ai_role="Assistant", 41 | tools=tools, 42 | input_variables=["memory", "messages", "goals", "user_input"], 43 | token_counter=llm.get_num_tokens, 44 | ) 45 | human_feedback_tool = HumanInputRun() if human_in_the_loop else None 46 | chain = LLMChain(llm=llm, prompt=prompt) 47 | agent = AutoGPT( 48 | ai_name, 49 | vectorstore.as_retriever(), # type: ignore 50 | chain, 51 | AutoGPTOutputParser(), 52 | tools, 53 | feedback_tool=human_feedback_tool, 54 | ) 55 | # Set verbose to be true 56 | agent.chain.verbose = verbose 57 | return agent 58 | 59 | def run(self, tasks: List[str]) -> str: 60 | return self.agent.run(tasks) 61 | -------------------------------------------------------------------------------- /chromegpt/agent/autogpt/prompt.py: -------------------------------------------------------------------------------- 1 | import time 2 | from typing import Any, Callable, List 3 | 4 | from langchain.experimental.autonomous_agents.autogpt.prompt_generator import get_prompt 5 | from langchain.prompts.chat import ( 6 | BaseChatPromptTemplate, 7 | ) 8 | from langchain.schema import BaseMessage, HumanMessage, SystemMessage 9 | from langchain.tools.base import BaseTool 10 | from langchain.vectorstores.base import VectorStoreRetriever 11 | from pydantic import BaseModel 12 | 13 | 14 | class AutoGPTPrompt(BaseChatPromptTemplate, BaseModel): 15 | ai_name: str 16 | ai_role: str 17 | tools: List[BaseTool] 18 | token_counter: Callable[[str], int] 19 | send_token_limit: int = 4196 20 | 21 | def construct_full_prompt(self, goals: List[str]) -> str: 22 | prompt_start = ( 23 | "Your decisions must always be made independently " 24 | "without seeking user assistance.\n" 25 | "Play to your strengths as an LLM and pursue simple " 26 | "strategies with no legal complications.\n" 27 | "If you have completed all your tasks, make sure to " 28 | 'use the "finish" command.' 29 | ) 30 | # Construct full prompt 31 | full_prompt = ( 32 | f"You are {self.ai_name}, {self.ai_role}\n{prompt_start}\n\nGOALS:\n\n" 33 | ) 34 | for i, goal in enumerate(goals): 35 | full_prompt += f"{i+1}. {goal}\n" 36 | 37 | full_prompt += f"\n\n{get_prompt(self.tools)}" 38 | return full_prompt 39 | 40 | def _calculate_tokens(self, msgs: List[BaseMessage]) -> int: 41 | """Calculate the number of tokens used in the messages.""" 42 | return sum([self.token_counter(msg.content) for msg in msgs]) 43 | 44 | def _format_misc_messages(self, **kwargs: Any) -> List[BaseMessage]: 45 | """Format misc requried messages, such as time and date.""" 46 | base_prompt = SystemMessage(content=self.construct_full_prompt(kwargs["goals"])) 47 | time_prompt = SystemMessage( 48 | content=f"The current time and date is {time.strftime('%c')}" 49 | ) 50 | return [base_prompt, time_prompt] 51 | 52 | def _format_last_action(self, **kwargs: Any) -> List[BaseMessage]: 53 | """Format last action.""" 54 | previous_messages = kwargs["messages"] 55 | if len(previous_messages) < 1: 56 | # Threre are no actions yet 57 | return [] 58 | last_action = SystemMessage(content=previous_messages[-1].content) 59 | return [last_action] 60 | 61 | def _format_prev_actions( 62 | self, token_limit: int, **kwargs: Any 63 | ) -> List[BaseMessage]: 64 | """Format previous actions.""" 65 | previous_messages = kwargs["messages"] 66 | prev_actions: List[BaseMessage] = [] 67 | if len(previous_messages) < 2: 68 | # Threre are no previous actions 69 | return [] 70 | used_tokens = 0 71 | for msg in previous_messages[-2:][::-1]: 72 | if used_tokens + self.token_counter(msg.content) > token_limit: 73 | break 74 | prev_actions.append(SystemMessage(content=msg.content)) 75 | used_tokens += self.token_counter(msg.content) 76 | return prev_actions 77 | 78 | def _format_memory_messages( 79 | self, token_limit: int, **kwargs: Any 80 | ) -> List[BaseMessage]: 81 | """Format memory messages.""" 82 | messages: List[BaseMessage] = [] 83 | memory: VectorStoreRetriever = kwargs["memory"] 84 | previous_messages = kwargs["messages"] 85 | content_format = "This reminds you of these events from your past:\n" 86 | relevant_docs = memory.get_relevant_documents(str(previous_messages[-10:])) 87 | relevant_memory = [d.page_content for d in relevant_docs] 88 | relevant_memory_tokens = sum( 89 | [self.token_counter(doc) for doc in relevant_memory] 90 | ) + self.token_counter(content_format) 91 | 92 | while len(relevant_memory) > 0: 93 | if relevant_memory_tokens < token_limit: 94 | break 95 | relevant_memory_tokens -= self.token_counter(relevant_memory[-1]) 96 | relevant_memory = relevant_memory[:-1] 97 | if len(relevant_memory) > 0: 98 | memory_message = SystemMessage( 99 | content=f"{content_format}{relevant_memory}\n\n" 100 | ) 101 | messages += [memory_message] 102 | return messages 103 | 104 | def format_messages(self, **kwargs: Any) -> List[BaseMessage]: 105 | """Format messages for the agent to process.""" 106 | messages = [] 107 | # Format misc messages 108 | input_message = HumanMessage(content=kwargs["user_input"]) 109 | misc_messages = self._format_misc_messages(**kwargs) 110 | used_tokens = self._calculate_tokens(misc_messages + [input_message]) 111 | messages += misc_messages 112 | 113 | # Format last action msg 114 | last_action = self._format_last_action(**kwargs) 115 | used_tokens += self._calculate_tokens(last_action) 116 | 117 | tokens_left = self.send_token_limit - used_tokens 118 | if tokens_left > 0: 119 | memory_messages = self._format_memory_messages(tokens_left // 2, **kwargs) 120 | messages += memory_messages 121 | used_tokens += self._calculate_tokens(memory_messages) 122 | # HACK: This is a hack since GPT-3 doesn't seem to like previous actions 123 | # token_limit = self.send_token_limit - used_tokens 124 | # prev_actions = self._format_prev_actions(token_limit, **kwargs) 125 | # messages += prev_actions 126 | messages += last_action 127 | messages.append(input_message) 128 | return messages 129 | -------------------------------------------------------------------------------- /chromegpt/agent/chromegpt_agent.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | from typing import List 3 | 4 | 5 | class ChromeGPTAgent(ABC): 6 | """Abstract class for ChromeGPT agents.""" 7 | 8 | model: str 9 | verbose: bool = False 10 | 11 | @abstractmethod 12 | def run(self, tasks: List[str]) -> str: 13 | """Take in a list of tasks and return executed result.""" 14 | -------------------------------------------------------------------------------- /chromegpt/agent/utils.py: -------------------------------------------------------------------------------- 1 | from typing import List 2 | 3 | from langchain.agents import Tool 4 | from langchain.docstore import InMemoryDocstore 5 | from langchain.embeddings import OpenAIEmbeddings 6 | from langchain.tools.base import BaseTool 7 | from langchain.vectorstores import FAISS 8 | 9 | from chromegpt.tools.selenium import ( 10 | ClickButtonInput, 11 | DescribeWebsiteInput, 12 | FillOutFormInput, 13 | FindFormInput, 14 | GoogleSearchInput, 15 | ScrollInput, 16 | SeleniumWrapper, 17 | ) 18 | 19 | 20 | def get_agent_tools() -> List[BaseTool]: 21 | """Get the tools that will be used by the AI agent.""" 22 | selenium = SeleniumWrapper() 23 | tools: List[BaseTool] = [ 24 | Tool( 25 | name="goto", 26 | func=selenium.describe_website, 27 | description="useful for when you need visit a link or a website", 28 | args_schema=DescribeWebsiteInput, 29 | ), 30 | Tool( 31 | name="click", 32 | func=selenium.click_button_by_text, 33 | description="useful for when you need to click a button/link", 34 | args_schema=ClickButtonInput, 35 | ), 36 | Tool( 37 | name="find_form", 38 | func=selenium.find_form_inputs, 39 | description=( 40 | "useful for when you need to find out input forms given a url. Returns" 41 | " the input fields to fill out" 42 | ), 43 | args_schema=FindFormInput, 44 | ), 45 | Tool( 46 | name="fill_form", 47 | func=selenium.fill_out_form, # type: ignore 48 | description=( 49 | "useful for when you need to fill out a form on the current website." 50 | " Input should be a json formatted string" 51 | ), 52 | args_schema=FillOutFormInput, 53 | ), 54 | Tool( 55 | name="scroll", 56 | func=selenium.scroll, 57 | description=( 58 | "useful for when you need to scroll up or down on the current website" 59 | ), 60 | args_schema=ScrollInput, 61 | ), 62 | Tool( 63 | name="google_search", 64 | func=selenium.google_search, 65 | description="perform a google search", 66 | args_schema=GoogleSearchInput, 67 | ), 68 | # TODO: Re-enable this, StopIteration error, cannot parse None as input 69 | # Tool( 70 | # name="previous_webpage", 71 | # func=selenium.previous_webpage, 72 | # description="navigate back to the previous page in the browser history", 73 | # args_schema=BaseModel, 74 | # ) 75 | # TODO: enable these tools 76 | # ReadFileTool(root_dir="./"), 77 | # WriteFileTool(root_dir="./"), 78 | ] 79 | return tools 80 | 81 | 82 | def get_vectorstore() -> FAISS: 83 | # Define your embedding model 84 | embeddings_model = OpenAIEmbeddings() # type: ignore 85 | # Initialize the vectorstore as empty 86 | import faiss 87 | 88 | embedding_size = 1536 89 | index = faiss.IndexFlatL2(embedding_size) 90 | vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {}) 91 | return vectorstore 92 | -------------------------------------------------------------------------------- /chromegpt/agent/zeroshot.py: -------------------------------------------------------------------------------- 1 | """Module for the zero shot agent. Optimized for GPT-3.5 use.""" 2 | import types 3 | from typing import Any, Dict, List, Tuple 4 | 5 | from langchain import LLMChain, PromptTemplate 6 | from langchain.agents import AgentType, Tool, initialize_agent 7 | from langchain.agents.agent import AgentExecutor 8 | from langchain.agents.mrkl.base import ZeroShotAgent as LangChainZeroShotAgent 9 | from langchain.chat_models import ChatOpenAI 10 | from langchain.experimental import BabyAGI 11 | from langchain.schema import AgentAction 12 | from langchain.tools.base import BaseTool 13 | 14 | from chromegpt.agent.chromegpt_agent import ChromeGPTAgent 15 | from chromegpt.agent.utils import get_agent_tools, get_vectorstore 16 | 17 | 18 | def get_zeroshot_agent(llm: ChatOpenAI, verbose: bool = False) -> AgentExecutor: 19 | """Get the zero shot agent. Optimized for GPT-3.5 use.""" 20 | tools = get_agent_tools() 21 | agent = initialize_agent( 22 | tools, llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=verbose 23 | ) 24 | return agent 25 | 26 | 27 | def _get_full_inputs( 28 | self: Any, 29 | intermediate_steps: List[Tuple[AgentAction, str]], 30 | **kwargs: Dict[str, Any] 31 | ) -> Dict[str, Any]: 32 | """Create the full inputs for the LLMChain from intermediate steps. 33 | Patched version limit to 5 intermediate steps. 34 | """ 35 | thoughts = self._construct_scratchpad( 36 | intermediate_steps[-4:] 37 | ) # limit to 4 intermediate steps for GPT-3.5 38 | new_inputs = {"agent_scratchpad": thoughts, "stop": self._stop} 39 | full_inputs = {**kwargs, **new_inputs} 40 | return full_inputs 41 | 42 | 43 | class ZeroShotAgent(ChromeGPTAgent): 44 | def __init__(self, model: str = "gpt-3.5-turbo", verbose: bool = False) -> None: 45 | """Initialize the ZeroShotAgent.""" 46 | self.model = model 47 | self.agent = get_zeroshot_agent( 48 | llm=ChatOpenAI(model_name=model, temperature=0), # type: ignore 49 | verbose=verbose, 50 | ) 51 | self.agent.max_iterations = 30 52 | self.agent.agent.__dict__["get_full_inputs"] = types.MethodType( 53 | _get_full_inputs, self.agent.agent 54 | ) 55 | 56 | def run(self, tasks: List[str]) -> str: 57 | return self.agent.run(" ".join(tasks)) 58 | 59 | 60 | class BabyAGIAgent(ChromeGPTAgent): 61 | def __init__(self, model: str = "gpt-3.5-turbo", verbose: bool = False) -> None: 62 | """Initialize the BabyAGIAgent.""" 63 | self.model = model 64 | self.babyagi = self._get_baby_agi(verbose=verbose) 65 | 66 | def _get_todo_tool(self) -> Tool: 67 | todo_prompt = PromptTemplate.from_template( 68 | "You are a planner who is an expert at coming up " 69 | "with a todo list for a given objective. Come up " 70 | "with a todo list for this objective: {objective}" 71 | ) 72 | todo_chain = LLMChain( 73 | llm=ChatOpenAI(model=self.model, temperature=0), # type: ignore 74 | prompt=todo_prompt, 75 | ) 76 | return Tool( 77 | name="TODO", 78 | func=todo_chain.run, 79 | description=( 80 | "useful for when you need to come up with todo lists. Input: an" 81 | " objective to create a todo list for. Output: a todo list for that" 82 | " objective. Please be very clear what the objective is!" 83 | ), 84 | ) 85 | 86 | def _get_baby_agi(self, verbose: bool = False, max_iterations: int = 20) -> BabyAGI: 87 | """Get the zero shot agent. Optimized for GPT-3.5 use.""" 88 | llm = ChatOpenAI(model_name=self.model, temperature=0) # type: ignore 89 | tools = get_agent_tools() 90 | # Add ToDo tool for baby agi 91 | tools.append(self._get_todo_tool()) 92 | agent = self._get_zero_shot_agent(llm=llm, verbose=verbose, tools=tools) 93 | vectorstore = get_vectorstore() 94 | baby_agi = BabyAGI.from_llm( 95 | llm=llm, 96 | vectorstore=vectorstore, # type: ignore 97 | task_execution_chain=agent, 98 | verbose=verbose, 99 | max_iterations=max_iterations, # type: ignore 100 | ) 101 | return baby_agi 102 | 103 | def _get_zero_shot_agent( 104 | self, llm: ChatOpenAI, verbose: bool, tools: List[BaseTool] 105 | ) -> AgentExecutor: 106 | prefix = ( 107 | "You are an AI who performs one task based on the " 108 | "following objective: {objective}. Take into account these " 109 | "previously completed tasks: {context}." 110 | ) 111 | suffix = """Question: {task} 112 | {agent_scratchpad}""" 113 | prompt = LangChainZeroShotAgent.create_prompt( 114 | tools, 115 | prefix=prefix, 116 | suffix=suffix, 117 | input_variables=["objective", "task", "context", "agent_scratchpad"], 118 | ) 119 | llm_chain = LLMChain(llm=llm, prompt=prompt) 120 | tool_names = [tool.name for tool in tools] 121 | agent = LangChainZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) 122 | agent_executor = AgentExecutor.from_agent_and_tools( 123 | agent=agent, tools=tools, verbose=True, max_iterations=4 124 | ) 125 | return agent_executor 126 | 127 | def run(self, tasks: List[str]) -> str: 128 | return str(self.babyagi({"objective": " ".join(tasks)})) 129 | -------------------------------------------------------------------------------- /chromegpt/main.py: -------------------------------------------------------------------------------- 1 | from chromegpt.agent.autogpt import AutoGPTAgent 2 | from chromegpt.agent.chromegpt_agent import ChromeGPTAgent 3 | from chromegpt.agent.zeroshot import BabyAGIAgent, ZeroShotAgent 4 | 5 | 6 | def run_chromegpt( 7 | task: str, 8 | model: str = "gpt-3.5-turbo", 9 | agent: str = "zero-shot", 10 | headless: bool = False, 11 | verbose: bool = False, 12 | continuous: bool = True, 13 | ) -> str: 14 | """Run ChromeGPT.""" 15 | # setup agent 16 | if agent == "auto-gpt": 17 | agent_obj: ChromeGPTAgent = AutoGPTAgent( 18 | model=model, verbose=verbose, continuous=continuous 19 | ) 20 | elif agent == "baby-agi": 21 | agent_obj = BabyAGIAgent(model=model, verbose=verbose) 22 | elif agent == "zero-shot": 23 | agent_obj = ZeroShotAgent(model=model, verbose=verbose) 24 | else: 25 | raise ValueError(f"Agent {agent} not found.") 26 | # run agent 27 | return agent_obj.run([task]) 28 | -------------------------------------------------------------------------------- /chromegpt/tools/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/richardyc/Chrome-GPT/96e2f6cee8cd5914da4a7f46da809ff9f2285343/chromegpt/tools/__init__.py -------------------------------------------------------------------------------- /chromegpt/tools/driver.py: -------------------------------------------------------------------------------- 1 | from typing import Any, Callable 2 | 3 | from chromegpt.tools.selenium import SeleniumWrapper 4 | 5 | 6 | def execute_with_driver(test_function: Callable[[SeleniumWrapper], None]) -> Callable: 7 | def wrapper(*args: Any, **kwargs: Any) -> None: 8 | try: 9 | client = SeleniumWrapper(headless=True) 10 | test_function(client, *args, **kwargs) 11 | finally: 12 | # release the driver 13 | del client 14 | 15 | return wrapper 16 | -------------------------------------------------------------------------------- /chromegpt/tools/selenium.py: -------------------------------------------------------------------------------- 1 | """Tool that calls Selenium.""" 2 | import json 3 | import re 4 | import time 5 | import urllib.parse 6 | from typing import Any, Dict, List, Optional 7 | 8 | import validators 9 | from bs4 import BeautifulSoup 10 | from pydantic import BaseModel, Field 11 | from selenium import webdriver 12 | from selenium.common.exceptions import ( 13 | WebDriverException, 14 | ) 15 | from selenium.webdriver.chrome.options import Options 16 | from selenium.webdriver.common.action_chains import ActionChains 17 | from selenium.webdriver.common.by import By 18 | from selenium.webdriver.common.keys import Keys 19 | 20 | from chromegpt.tools.utils import ( 21 | find_parent_element_text, 22 | get_all_text_elements, 23 | prettify_text, 24 | truncate_string_from_last_occurrence, 25 | ) 26 | 27 | 28 | class SeleniumWrapper: 29 | """Wrapper around Selenium. 30 | 31 | To use, you should have the ``selenium`` python package installed. 32 | 33 | Example: 34 | .. code-block:: python 35 | 36 | from langchain import SeleniumWrapper 37 | selenium = SeleniumWrapper() 38 | """ 39 | 40 | def __init__(self, headless: bool = False, docker: bool = True) -> None: 41 | """Initialize Selenium and start interactive session.""" 42 | chrome_options = Options() 43 | if headless: 44 | chrome_options.add_argument("--headless") 45 | else: 46 | chrome_options.add_argument("--start-maximized") 47 | if docker: 48 | self.driver = webdriver.Remote( 49 | "http://selenium-chrome:4444/wd/hub", 50 | options=chrome_options, 51 | ) 52 | else: 53 | self.driver = webdriver.Chrome(options=chrome_options) 54 | self.driver.implicitly_wait(5) # Wait 5 seconds for elements to load 55 | 56 | def __del__(self) -> None: 57 | """Close Selenium session.""" 58 | if hasattr(self, "driver") and self.driver is not None: 59 | self.driver.close() 60 | self.driver.quit() 61 | 62 | def previous_webpage(self) -> str: 63 | """Go back in browser history.""" 64 | self.driver.back() 65 | return self.describe_website() 66 | 67 | def google_search(self, query: str) -> str: 68 | safe_string = urllib.parse.quote_plus(query) 69 | url = "https://www.google.com/search?q=" + safe_string 70 | # Go to website 71 | try: 72 | self.driver.switch_to.window(self.driver.window_handles[-1]) 73 | self.driver.get(url) 74 | except Exception: 75 | return f"Cannot load website {url}. Try again later." 76 | 77 | # Scrape search results 78 | results = self._get_google_search_results() 79 | return ( 80 | "Which url would you like to goto? Provide the full url starting with http" 81 | " or https to goto: " 82 | + json.dumps(results) 83 | ) 84 | 85 | def _get_google_search_results(self) -> List[Dict[str, Any]]: 86 | # Scrape search results 87 | results = [] 88 | page_source = self.driver.page_source 89 | soup = BeautifulSoup(page_source, "html.parser") 90 | search_results = soup.find_all("div", class_="g") 91 | for _, result in enumerate(search_results, start=1): 92 | if result.find("a") and result.find("h3"): 93 | title_element = result.find("h3") 94 | link_element = result.find("a") 95 | 96 | title = title_element.get_text() 97 | link = link_element.get("href") 98 | if title and link: 99 | results.append( 100 | { 101 | "title": title, 102 | "link": link, 103 | } 104 | ) 105 | return results 106 | 107 | def describe_website(self, url: Optional[str] = None) -> str: 108 | """Describe the website.""" 109 | output = "" 110 | if url: 111 | try: 112 | self.driver.switch_to.window(self.driver.window_handles[-1]) 113 | self.driver.get(url) 114 | except Exception: 115 | return ( 116 | f"Cannot load website {url}. Make sure you input the correct and" 117 | " complete url starting with http:// or https://." 118 | ) 119 | 120 | # Let driver wait for website to load 121 | time.sleep(1) # Wait for website to load 122 | 123 | try: 124 | # Extract main content 125 | main_content = self._get_website_main_content() 126 | except WebDriverException: 127 | return "Website still loading, please wait a few seconds and try again." 128 | if main_content: 129 | output += f"{main_content}\n" 130 | 131 | # Extract interactable components (buttons and links) 132 | interactable_content = self._get_interactable_elements() 133 | if interactable_content: 134 | output += f"{interactable_content}\n" 135 | 136 | # Extract form inputs 137 | form_fields = self._find_form_fields() 138 | if form_fields: 139 | output += ( 140 | "You can input text in these fields using fill_form function: " 141 | + form_fields 142 | ) 143 | return output 144 | 145 | def click_button_by_text(self, button_text: str) -> str: 146 | # check if the button text is url 147 | if validators.url(button_text): 148 | return self.describe_website(button_text) 149 | # If it is google search, then fetch link from google 150 | if self.driver.current_url.startswith("https://www.google.com/search"): 151 | google_search_results = self._get_google_search_results() 152 | for result in google_search_results: 153 | if button_text.lower() in result["title"].lower(): 154 | return self.describe_website(result["link"]) 155 | self.driver.switch_to.window(self.driver.window_handles[-1]) 156 | # If there are string surrounded by double quotes, extract them 157 | if button_text.count('"') > 1: 158 | try: 159 | button_text = re.findall(r'"([^"]*)"', button_text)[0] 160 | except IndexError: 161 | # No text surrounded by double quotes 162 | pass 163 | try: 164 | elements = self.driver.find_elements( 165 | By.XPATH, 166 | "//button | //div[@role='button'] | //a | //input[@type='checkbox']", 167 | ) 168 | 169 | if not elements: 170 | return ( 171 | "No interactable buttons found in the website. Try another website." 172 | ) 173 | 174 | selected_element = None 175 | all_buttons = [] 176 | for element in elements: 177 | text = find_parent_element_text(element) 178 | button_text = prettify_text(button_text) 179 | if ( 180 | element.is_displayed() 181 | and element.is_enabled() 182 | and ( 183 | text == button_text 184 | or ( 185 | button_text in text 186 | and abs(len(text) - len(button_text)) < 50 187 | ) 188 | ) 189 | ): 190 | selected_element = element 191 | if text and text not in all_buttons: 192 | all_buttons.append(text) 193 | break 194 | if not selected_element: 195 | return ( 196 | f"No interactable element found with text: {button_text}. Double" 197 | " check the button text and try again. Available buttons:" 198 | f" {json.dumps(all_buttons)}" 199 | ) 200 | 201 | # Scroll the element into view and Click the element using JavaScript 202 | before_content = self.describe_website() 203 | actions = ActionChains(self.driver) 204 | actions.move_to_element(selected_element).click().perform() 205 | after_content = self.describe_website() 206 | if before_content == after_content: 207 | output = ( 208 | "Clicked interactable element but nothing changed on the website." 209 | ) 210 | else: 211 | output = "Clicked interactable element and the website changed. Now " 212 | output += self.describe_website() 213 | return output 214 | except WebDriverException as e: 215 | return f"Error clicking button with text '{button_text}', message: {e.msg}" 216 | 217 | def find_form_inputs(self, url: Optional[str] = None) -> str: 218 | """Find form inputs on the website.""" 219 | fields = self._find_form_fields(url) 220 | if fields: 221 | form_inputs = "Available Form Input Fields: " + fields 222 | else: 223 | form_inputs = "No form inputs found on current page. Try another website." 224 | return form_inputs 225 | 226 | def _find_form_fields(self, url: Optional[str] = None) -> str: 227 | """Find form fields on the website.""" 228 | if url and url != self.driver.current_url and url.startswith("http"): 229 | try: 230 | self.driver.switch_to.window(self.driver.window_handles[-1]) 231 | self.driver.get(url) 232 | # Let driver wait for website to load 233 | time.sleep(1) # Wait for website to load 234 | except WebDriverException as e: 235 | return f"Error loading url {url}, message: {e.msg}" 236 | fields = [] 237 | for element in self.driver.find_elements(By.XPATH, "//textarea | //input"): 238 | label_txt = ( 239 | element.get_attribute("name") 240 | or element.get_attribute("aria-label") 241 | or find_parent_element_text(element) 242 | ) 243 | if ( 244 | label_txt 245 | and "\n" not in label_txt 246 | and len(label_txt) < 100 247 | and label_txt not in fields 248 | ): 249 | label_txt = prettify_text(label_txt) 250 | fields.append(label_txt) 251 | return str(fields) 252 | 253 | def fill_out_form(self, form_input: Optional[str] = None, **kwargs: Any) -> str: 254 | """fill out form by form field name and input name""" 255 | filled_element = None 256 | if form_input and type(form_input) == str: 257 | # Clean up form input 258 | form_input_str = truncate_string_from_last_occurrence( 259 | string=form_input, character="}" # type: ignore 260 | ) 261 | try: 262 | form_input = json.loads(form_input_str) 263 | except json.decoder.JSONDecodeError: 264 | return ( 265 | "Invalid JSON input. Please check your input is JSON format and try" 266 | " again. Make sure to use double quotes for strings. Example input:" 267 | ' {"email": "foo@bar.com","name": "foo bar"}' 268 | ) 269 | elif not form_input: 270 | form_input = kwargs # type: ignore 271 | try: 272 | for element in self.driver.find_elements(By.XPATH, "//textarea | //input"): 273 | label_txt = ( 274 | element.get_attribute("name") 275 | or element.get_attribute("aria-label") 276 | or find_parent_element_text(element) 277 | ) 278 | if label_txt: 279 | label_txt = prettify_text(label_txt) 280 | for key in form_input.keys(): # type: ignore 281 | if prettify_text(key) == label_txt: 282 | # Scroll the element into view 283 | self.driver.execute_script( 284 | "arguments[0].scrollIntoView();", element 285 | ) 286 | time.sleep(0.5) # Allow some time for the page to settle 287 | try: 288 | # Try clearing the input field 289 | element.send_keys(Keys.CONTROL + "a") 290 | element.send_keys(Keys.DELETE) 291 | element.clear() 292 | except WebDriverException: 293 | pass 294 | element.send_keys(form_input[key]) # type: ignore 295 | filled_element = element 296 | break 297 | if not filled_element: 298 | return ( 299 | f"Cannot find form with input: {form_input.keys()}." # type: ignore 300 | f" Available form inputs: {self._find_form_fields()}" 301 | ) 302 | before_content = self.describe_website() 303 | filled_element.send_keys(Keys.RETURN) 304 | after_content = self.describe_website() 305 | if before_content != after_content: 306 | return ( 307 | f"Successfully filled out form with input: {form_input}, website" 308 | f" changed after filling out form. Now {after_content}" 309 | ) 310 | else: 311 | return ( 312 | f"Successfully filled out form with input: {form_input}, but" 313 | " website did not change after filling out form." 314 | ) 315 | except WebDriverException as e: 316 | # print(e) 317 | return f"Error filling out form with input {form_input}, message: {e.msg}" 318 | 319 | def scroll(self, direction: str) -> str: 320 | # Get the height of the current window 321 | window_height = self.driver.execute_script("return window.innerHeight") 322 | if direction == "up": 323 | window_height = -window_height 324 | 325 | # Scroll by 1 window height 326 | self.driver.execute_script(f"window.scrollBy(0, {window_height})") 327 | 328 | return self.describe_website() 329 | 330 | def _get_website_main_content(self) -> str: 331 | texts = get_all_text_elements(self.driver) 332 | pretty_texts = [prettify_text(text) for text in texts] 333 | if not pretty_texts: 334 | return "" 335 | 336 | description = ( 337 | "Current window displays the following contents, try scrolling up or down" 338 | " to view more: " 339 | ) 340 | description += json.dumps(pretty_texts) 341 | 342 | return description 343 | 344 | def _get_interactable_elements(self) -> str: 345 | # Extract interactable components (buttons and links) 346 | interactable_elements = self.driver.find_elements( 347 | By.XPATH, 348 | "//button | //div[@role='button'] | //a | //input[@type='checkbox']", 349 | ) 350 | 351 | interactable_texts = [] 352 | for element in interactable_elements: 353 | button_text = find_parent_element_text(element) 354 | button_text = prettify_text(button_text, 50) 355 | if ( 356 | button_text 357 | and button_text not in interactable_texts 358 | and element.is_displayed() 359 | and element.is_enabled() 360 | ): 361 | interactable_texts.append(button_text) 362 | 363 | # Split up the links and the buttons 364 | buttons_text = [] 365 | links_text = [] 366 | for text in interactable_texts: 367 | if validators.url(text): 368 | links_text.append(text) 369 | else: 370 | buttons_text.append(text) 371 | interactable_output = "" 372 | if links_text: 373 | interactable_output += f"Goto these links: {json.dumps(links_text)}\n" 374 | if buttons_text: 375 | interactable_output += f"Click on these buttons: {json.dumps(buttons_text)}" 376 | return interactable_output 377 | 378 | 379 | class GoogleSearchInput(BaseModel): 380 | """Google search input model.""" 381 | 382 | query: str = Field(..., description="search query") 383 | 384 | 385 | class DescribeWebsiteInput(BaseModel): 386 | """Describe website input model.""" 387 | 388 | url: str = Field( 389 | ..., 390 | description="full URL starting with http or https", 391 | example="https://www.google.com/", 392 | ) 393 | 394 | 395 | class ClickButtonInput(BaseModel): 396 | """Click button input model.""" 397 | 398 | button_text: str = Field( 399 | ..., 400 | description="text of the button/link you want to click", 401 | example="Contact Us", 402 | ) 403 | 404 | 405 | class FindFormInput(BaseModel): 406 | """Find form input input model.""" 407 | 408 | url: Optional[str] = Field( 409 | default=None, 410 | description="the current website url", 411 | example="https://www.google.com/", 412 | ) 413 | 414 | 415 | class FillOutFormInput(BaseModel): 416 | """Fill out form input model.""" 417 | 418 | form_input: Optional[str] = Field( 419 | default=None, 420 | description="json formatted string with the input fields and their values", 421 | example='{"email": "foo@bar.com","name": "foo bar"}', 422 | ) 423 | 424 | 425 | class ScrollInput(BaseModel): 426 | """Scroll window.""" 427 | 428 | direction: str = Field( 429 | default="down", description="direction to scroll, either 'up' or 'down'" 430 | ) 431 | -------------------------------------------------------------------------------- /chromegpt/tools/utils.py: -------------------------------------------------------------------------------- 1 | """Utils for chromegpt tools.""" 2 | 3 | import re 4 | from typing import List, Optional, Union 5 | 6 | from selenium.webdriver.chrome.webdriver import WebDriver 7 | from selenium.webdriver.common.by import By 8 | from selenium.webdriver.remote.webdriver import WebDriver as RemoteWebDriver 9 | from selenium.webdriver.remote.webelement import WebElement 10 | from unidecode import unidecode 11 | 12 | 13 | ### Main Content Extraction ### 14 | def is_complete_sentence(text: str) -> bool: 15 | return re.search(r"[.!?]\s*$", text) is not None 16 | 17 | 18 | def get_all_text_elements(driver: Union[WebDriver, RemoteWebDriver]) -> List[str]: 19 | xpath = ( 20 | "//*[not(self::script or self::style or" 21 | " self::noscript)][string-length(normalize-space(text())) > 0]" 22 | ) 23 | elements = driver.find_elements(By.XPATH, xpath) 24 | texts = [ 25 | element.text.strip() 26 | for element in elements 27 | if element.text.strip() 28 | and element.is_displayed() 29 | and element_completely_viewable(driver, element) 30 | ] 31 | return texts 32 | 33 | 34 | def find_interactable_elements(driver: Union[WebDriver, RemoteWebDriver]) -> List[str]: 35 | """Find all interactable elements on the page.""" 36 | # Extract interactable components (buttons and links) 37 | buttons = driver.find_elements(By.XPATH, "//button") 38 | links = driver.find_elements(By.XPATH, "//a") 39 | 40 | interactable_elements = buttons + links 41 | 42 | interactable_output = [] 43 | for element in interactable_elements: 44 | if ( 45 | element.is_displayed() 46 | and element_completely_viewable(driver, element) 47 | and element.is_enabled() 48 | ): 49 | element_text = element.text.strip() 50 | if element_text and element_text not in interactable_output: 51 | element_text = prettify_text(element_text, 50) 52 | interactable_output.append(element_text) 53 | return interactable_output 54 | 55 | 56 | def prettify_text(text: str, limit: Optional[int] = None) -> str: 57 | """Prettify text by removing extra whitespace and converting to lowercase.""" 58 | text = re.sub(r"\s+", " ", text) 59 | text = text.strip().lower() 60 | text = unidecode(text) 61 | if limit: 62 | text = text[:limit] 63 | return text 64 | 65 | 66 | def element_completely_viewable( 67 | driver: Union[WebDriver, RemoteWebDriver], elem: WebElement 68 | ) -> bool: 69 | """Check if an element is completely viewable in the browser window.""" 70 | elem_left_bound = elem.location.get("x") 71 | elem_top_bound = elem.location.get("y") 72 | elem_right_bound = elem_left_bound 73 | elem_lower_bound = elem_top_bound 74 | 75 | win_upper_bound = driver.execute_script("return window.pageYOffset") 76 | win_left_bound = driver.execute_script("return window.pageXOffset") 77 | win_width = driver.execute_script("return document.documentElement.clientWidth") 78 | win_height = driver.execute_script("return document.documentElement.clientHeight") 79 | win_right_bound = win_left_bound + win_width 80 | win_lower_bound = win_upper_bound + win_height 81 | 82 | return all( 83 | ( 84 | win_left_bound <= elem_left_bound, 85 | win_right_bound >= elem_right_bound, 86 | win_upper_bound <= elem_top_bound, 87 | win_lower_bound >= elem_lower_bound, 88 | ) 89 | ) 90 | 91 | 92 | def find_parent_element_text(elem: WebElement, prettify: bool = True) -> str: 93 | """Find the text up to third order parent element.""" 94 | parent_element_text = elem.text.strip() 95 | if parent_element_text: 96 | return ( 97 | parent_element_text if not prettify else prettify_text(parent_element_text) 98 | ) 99 | elements = elem.find_elements(By.XPATH, "./ancestor::*[position() <= 3]") 100 | for parent_element in elements: 101 | parent_element_text = parent_element.text.strip() 102 | if parent_element_text: 103 | return ( 104 | parent_element_text 105 | if not prettify 106 | else prettify_text(parent_element_text) 107 | ) 108 | return "" 109 | 110 | 111 | def truncate_string_from_last_occurrence(string: str, character: str) -> str: 112 | """Truncate a string from the last occurrence of a character.""" 113 | last_occurrence_index = string.rfind(character) 114 | if last_occurrence_index != -1: 115 | truncated_string = string[: last_occurrence_index + 1] 116 | return truncated_string 117 | else: 118 | return string 119 | -------------------------------------------------------------------------------- /docker-compose.yaml: -------------------------------------------------------------------------------- 1 | version: '3' 2 | services: 3 | chromegpt: 4 | build: 5 | context: . 6 | dockerfile: Dockerfile 7 | target: ${TARGET:-dev} # Default value is "dev" 8 | args: 9 | - MAKE=${MAKE} 10 | environment: 11 | - OPENAI_API_KEY=${OPENAI_API_KEY} 12 | - REQUEST=${REQUEST} 13 | depends_on: 14 | # make sure the the image will be created only after Selenium is stable 15 | # otherwise, tests a run before Selenium is accessible 16 | selenium-chrome: 17 | condition: service_healthy 18 | 19 | 20 | selenium-chrome: 21 | image: selenium/standalone-chrome:latest 22 | ports: 23 | - "4444:4444" 24 | - "7900:7900" 25 | - "5900:5900" 26 | environment: 27 | - SE_NODE_MAX_SESSIONS=10 28 | - SE_NODE_SESSION_TIMEOUT=30000 29 | shm_size: "2g" 30 | # define Selenium stable 'Healthy' only after it's accessible. 31 | healthcheck: 32 | test: ["CMD", "curl", "-f", "http://selenium-chrome:4444/wd/hub/status"] 33 | interval: 10s # Check every 30 seconds 34 | timeout: 5s # Timeout after 10 seconds 35 | retries: 3 # Retry 3 times before considering the container unhealthy 36 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "chrome-gpt" 3 | version = "0.1.0" 4 | description = "An AutoGPT agent that uses Chrome interactively on your desktop" 5 | authors = ["Richard He "] 6 | license = "MIT" 7 | readme = "README.md" 8 | 9 | [tool.poetry.dependencies] 10 | python = ">=3.8.1,<4.0" 11 | langchain = ">=0.0.157" 12 | selenium = "^4.9.0" 13 | pytest = "^7.3.1" 14 | mypy = "^1.2.0" 15 | black = "^23.3.0" 16 | ruff = "^0.0.263" 17 | faiss-cpu = "^1.7.4" 18 | click = "^8.1.3" 19 | openai = "^0.27.4" 20 | tiktoken = "^0.3.3" 21 | validators = "^0.20.0" 22 | pexpect = "^4.8.0" 23 | unidecode = "1.3.6" 24 | bs4 = "^0.0.1" 25 | 26 | [tool.ruff] 27 | select = [ 28 | "E", # pycodestyle 29 | "F", # pyflakes 30 | "I", # isort 31 | ] 32 | 33 | [tool.mypy] 34 | ignore_missing_imports = "True" 35 | disallow_untyped_defs = "True" 36 | exclude = ["notebooks"] 37 | 38 | [build-system] 39 | requires = ["poetry-core"] 40 | build-backend = "poetry.core.masonry.api" 41 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/richardyc/Chrome-GPT/96e2f6cee8cd5914da4a7f46da809ff9f2285343/tests/__init__.py -------------------------------------------------------------------------------- /tests/test_selenium.py: -------------------------------------------------------------------------------- 1 | """Integration test for Selenium API Wrapper.""" 2 | 3 | from chromegpt.tools.driver import SeleniumWrapper, execute_with_driver 4 | 5 | 6 | @execute_with_driver 7 | def test_describe_website(client: SeleniumWrapper) -> None: 8 | """Test that SeleniumWrapper returns correct website""" 9 | output = None 10 | output = client.describe_website("https://example.com") 11 | assert output is not None and "this domain is for use in illu" in output 12 | 13 | 14 | @execute_with_driver 15 | def test_click(client: SeleniumWrapper) -> None: 16 | """Test that SeleniumWrapper click works""" 17 | 18 | output = None 19 | client.describe_website("https://example.com") 20 | output = client.click_button_by_text('link with title "More information..."') 21 | assert ( 22 | output is not None 23 | and "Clicked interactable element and the website changed" in output 24 | ) 25 | 26 | 27 | @execute_with_driver 28 | def test_google_input(client: SeleniumWrapper) -> None: 29 | """Test that SeleniumWrapper can find input form""" 30 | output = None 31 | output = client.find_form_inputs("https://google.com") 32 | assert output is not None and "q" in output 33 | 34 | 35 | @execute_with_driver 36 | def test_google_fill(client: SeleniumWrapper) -> None: 37 | """Test that SeleniumWrapper can fill input form""" 38 | output = None 39 | client.find_form_inputs("https://google.com") 40 | output = client.fill_out_form(q="hello world") 41 | 42 | assert output is not None and "website changed after filling out form" in output 43 | 44 | 45 | @execute_with_driver 46 | def test_google_search(client: SeleniumWrapper) -> None: 47 | """Test google search functionality""" 48 | output = None 49 | output = client.google_search("hello world") 50 | assert output is not None and "hello" in output 51 | assert output is not None and "Which url would you like to goto" in output 52 | --------------------------------------------------------------------------------