Duplicate from aliabid94/AutoGPT

Co-authored-by: Ali Abid <[email protected]>

.devcontainer/Dockerfile

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+# [Choice] Python version (use -bullseye variants on local arm64/Apple Silicon): 3, 3.10, 3-bullseye, 3.10-bullseye, 3-buster, 3.10-buster
+ARG VARIANT=3-bullseye
+FROM --platform=linux/amd64 python:3.10
+
+RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+    # Remove imagemagick due to https://security-tracker.debian.org/tracker/CVE-2019-10131
+    && apt-get purge -y imagemagick imagemagick-6-common
+
+# Temporary: Upgrade python packages due to https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-40897
+# They are installed by the base image (python) which does not have the patch.
+RUN python3 -m pip install --upgrade setuptools
+
+# Install Chrome for web browsing
+RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+    && curl -sSL https://dl.google.com/linux/direct/google-chrome-stable_current_$(dpkg --print-architecture).deb -o /tmp/chrome.deb \
+    && apt-get -y install /tmp/chrome.deb
+
+# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
+# COPY requirements.txt /tmp/pip-tmp/
+# RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
+#    && rm -rf /tmp/pip-tmp
+
+# [Optional] Uncomment this section to install additional OS packages.
+# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+#     && apt-get -y install --no-install-recommends <your-package-list-here>
+
+# [Optional] Uncomment this line to install global node packages.
+# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1

.devcontainer/devcontainer.json

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+{
+  "build": {
+    "dockerfile": "./Dockerfile",
+    "context": "."
+  },
+  "features": {
+    "ghcr.io/devcontainers/features/common-utils:2": {
+      "installZsh": "true",
+      "username": "vscode",
+      "userUid": "1000",
+      "userGid": "1000",
+      "upgradePackages": "true"
+    },
+    "ghcr.io/devcontainers/features/desktop-lite:1": {},
+    "ghcr.io/devcontainers/features/python:1": "none",
+    "ghcr.io/devcontainers/features/node:1": "none",
+    "ghcr.io/devcontainers/features/git:1": {
+      "version": "latest",
+      "ppa": "false"
+    }
+  },
+  // Configure tool-specific properties.
+  "customizations": {
+    // Configure properties specific to VS Code.
+    "vscode": {
+      // Set *default* container specific settings.json values on container create.
+      "settings": {
+        "python.defaultInterpreterPath": "/usr/local/bin/python"
+      }
+    }
+  },
+  // Use 'forwardPorts' to make a list of ports inside the container available locally.
+  // "forwardPorts": [],
+
+  // Use 'postCreateCommand' to run commands after the container is created.
+  // "postCreateCommand": "pip3 install --user -r requirements.txt",
+
+  // Set `remoteUser` to `root` to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
+  "remoteUser": "vscode"
+}

.env.template

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+################################################################################
+### AUTO-GPT - GENERAL SETTINGS
+################################################################################
+# EXECUTE_LOCAL_COMMANDS - Allow local command execution (Example: False)
+EXECUTE_LOCAL_COMMANDS=False
+# RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True)
+RESTRICT_TO_WORKSPACE=True
+# BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunk stored in memory
+BROWSE_CHUNK_MAX_LENGTH=8192
+# USER_AGENT - Define the user-agent used by the requests library to browse website (string)
+# USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"
+# AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml)
+AI_SETTINGS_FILE=ai_settings.yaml
+
+################################################################################
+### LLM PROVIDER
+################################################################################
+
+### OPENAI
+# OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
+# TEMPERATURE - Sets temperature in OpenAI (Default: 0)
+# USE_AZURE - Use Azure OpenAI or not (Default: False)
+OPENAI_API_KEY=your-openai-api-key
+TEMPERATURE=0
+USE_AZURE=False
+
+### AZURE
+# cleanup azure env as already moved to `azure.yaml.template`
+
+################################################################################
+### LLM MODELS
+################################################################################
+
+# SMART_LLM_MODEL - Smart language model (Default: gpt-4)
+# FAST_LLM_MODEL - Fast language model (Default: gpt-3.5-turbo)
+SMART_LLM_MODEL=gpt-4
+FAST_LLM_MODEL=gpt-3.5-turbo
+
+### LLM MODEL SETTINGS
+# FAST_TOKEN_LIMIT - Fast token limit for OpenAI (Default: 4000)
+# SMART_TOKEN_LIMIT - Smart token limit for OpenAI (Default: 8000)
+# When using --gpt3only this needs to be set to 4000.
+FAST_TOKEN_LIMIT=4000
+SMART_TOKEN_LIMIT=8000
+
+################################################################################
+### MEMORY
+################################################################################
+
+### MEMORY_BACKEND - Memory backend type
+# local - Default
+# pinecone - Pinecone (if configured)
+# redis - Redis (if configured)
+# milvus - Milvus (if configured)
+MEMORY_BACKEND=local
+
+### PINECONE
+# PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key)
+# PINECONE_ENV - Pinecone environment (region) (Example: us-west-2)
+PINECONE_API_KEY=your-pinecone-api-key
+PINECONE_ENV=your-pinecone-region
+
+### REDIS
+# REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose)
+# REDIS_PORT - Redis port (Default: 6379)
+# REDIS_PASSWORD - Redis password (Default: "")
+# WIPE_REDIS_ON_START - Wipes data / index on start (Default: False)
+# MEMORY_INDEX - Name of index created in Redis database (Default: auto-gpt)
+REDIS_HOST=localhost
+REDIS_PORT=6379
+REDIS_PASSWORD=
+WIPE_REDIS_ON_START=False
+MEMORY_INDEX=auto-gpt
+
+### WEAVIATE
+# MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage
+# WEAVIATE_HOST - Weaviate host IP
+# WEAVIATE_PORT - Weaviate host port
+# WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http')
+# USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate
+# WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate
+# WEAVIATE_USERNAME - Weaviate username
+# WEAVIATE_PASSWORD - Weaviate password
+# WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication
+# MEMORY_INDEX - Name of index to create in Weaviate
+WEAVIATE_HOST="127.0.0.1"
+WEAVIATE_PORT=8080
+WEAVIATE_PROTOCOL="http"
+USE_WEAVIATE_EMBEDDED=False
+WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate"
+WEAVIATE_USERNAME=
+WEAVIATE_PASSWORD=
+WEAVIATE_API_KEY=
+MEMORY_INDEX=AutoGpt
+
+### MILVUS
+# MILVUS_ADDR - Milvus remote address (e.g. localhost:19530)
+# MILVUS_COLLECTION - Milvus collection, 
+# change it if you want to start a new memory and retain the old memory.
+MILVUS_ADDR=your-milvus-cluster-host-port
+MILVUS_COLLECTION=autogpt
+
+################################################################################
+### IMAGE GENERATION PROVIDER
+################################################################################
+
+### OPEN AI
+# IMAGE_PROVIDER - Image provider (Example: dalle)
+IMAGE_PROVIDER=dalle
+# IMAGE_SIZE - Image size (Example: 256)
+#   DALLE: 256, 512, 1024
+IMAGE_SIZE=256
+
+### HUGGINGFACE
+# HUGGINGFACE_IMAGE_MODEL - Text-to-image model from Huggingface (Default: CompVis/stable-diffusion-v1-4)
+HUGGINGFACE_IMAGE_MODEL=CompVis/stable-diffusion-v1-4
+# HUGGINGFACE_API_TOKEN - HuggingFace API token (Example: my-huggingface-api-token)
+HUGGINGFACE_API_TOKEN=your-huggingface-api-token
+
+### STABLE DIFFUSION WEBUI
+# SD_WEBUI_URL - Stable diffusion webui API URL (Example: http://127.0.0.1:7860)
+SD_WEBUI_URL=http://127.0.0.1:7860
+# SD_WEBUI_AUTH - Stable diffusion webui username:password pair (Example: username:password)
+SD_WEBUI_AUTH=
+
+################################################################################
+### AUDIO TO TEXT PROVIDER
+################################################################################
+
+### HUGGINGFACE
+HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h
+
+################################################################################
+### GIT Provider for repository actions
+################################################################################
+
+### GITHUB
+# GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123)
+# GITHUB_USERNAME - Github username
+GITHUB_API_KEY=github_pat_123
+GITHUB_USERNAME=your-github-username
+
+################################################################################
+### WEB BROWSING
+################################################################################
+
+### BROWSER
+# USE_WEB_BROWSER - Sets the web-browser drivers to use with selenium (defaults to chrome).
+# HEADLESS_BROWSER - Whether to run the browser in headless mode (defaults to True)
+#   Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser
+# USE_WEB_BROWSER=chrome
+# HEADLESS_BROWSER=True
+
+### GOOGLE
+# GOOGLE_API_KEY - Google API key (Example: my-google-api-key)
+# CUSTOM_SEARCH_ENGINE_ID - Custom search engine ID (Example: my-custom-search-engine-id)
+GOOGLE_API_KEY=your-google-api-key
+CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id
+
+################################################################################
+### TTS PROVIDER
+################################################################################
+
+### MAC OS
+# USE_MAC_OS_TTS - Use Mac OS TTS or not (Default: False)
+USE_MAC_OS_TTS=False
+
+### STREAMELEMENTS
+# USE_BRIAN_TTS - Use Brian TTS or not (Default: False)
+USE_BRIAN_TTS=False
+
+### ELEVENLABS
+# ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key)
+# ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1)
+# ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2)
+ELEVENLABS_API_KEY=your-elevenlabs-api-key
+ELEVENLABS_VOICE_1_ID=your-voice-id-1
+ELEVENLABS_VOICE_2_ID=your-voice-id-2
+
+################################################################################
+### TWITTER API 
+################################################################################
+
+TW_CONSUMER_KEY=
+TW_CONSUMER_SECRET=
+TW_ACCESS_TOKEN=
+TW_ACCESS_TOKEN_SECRET=

.envrc

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+# Upon entering directory, direnv requests user permission once to automatically load project dependencies onwards.
+# Eliminating the need of running "nix develop github:superherointj/nix-auto-gpt" for Nix users to develop/use Auto-GPT.
+
+[[ -z $IN_NIX_SHELL ]] && use flake github:superherointj/nix-auto-gpt

.flake8

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+[flake8]
+max-line-length = 88
+select = "E303, W293, W291, W292, E305, E231, E302"
+exclude =
+    .tox,
+    __pycache__,
+    *.pyc,
+    .env
+    venv*/*,
+    .venv/*,
+    reports/*,
+    dist/*,

.github/FUNDING.yml

@@ -0,0 +1,3 @@
+# These are supported funding model platforms
+
+github: Torantulino

.github/ISSUE_TEMPLATE/1.bug.yml

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+name: Bug report 🐛
+description: Create a bug report for Auto-GPT.
+labels: ['status: needs triage']
+body:
+  - type: markdown
+    attributes:
+      value: |
+        ### ⚠️ Before you continue
+        * Check out our [backlog], [roadmap] and join our [discord] to discuss what's going on
+        * If you need help, you can ask in the [discussions] section or in [#tech-support]
+        * **Throughly search the [existing issues] before creating a new one**
+
+        [backlog]: https://github.com/orgs/Significant-Gravitas/projects/1
+        [roadmap]: https://github.com/orgs/Significant-Gravitas/projects/2  
+        [discord]: https://discord.gg/autogpt
+        [discussions]: https://github.com/Significant-Gravitas/Auto-GPT/discussions
+        [#tech-support]: https://discord.com/channels/1092243196446249134/1092275629602394184
+        [existing issues]: https://github.com/Significant-Gravitas/Auto-GPT/issues?q=is%3Aissue
+  - type: checkboxes
+    attributes:
+      label: ⚠️ Search for existing issues first ⚠️
+      description: >
+        Please [search the history](https://github.com/Torantulino/Auto-GPT/issues)
+        to see if an issue already exists for the same problem.
+      options:
+        - label: I have searched the existing issues, and there is no existing issue for my problem
+          required: true
+  - type: markdown
+    attributes:
+      value: |
+        Please provide a searchable summary of the issue in the title above ⬆️.
+
+        ⚠️ SUPER-busy repo, please help the volunteer maintainers.
+        The less time we spend here, the more time we spend building AutoGPT.
+        
+        Please help us help you:
+        - Does it work on `stable` branch (https://github.com/Torantulino/Auto-GPT/tree/stable)?
+        - Does it work on current `master` (https://github.com/Torantulino/Auto-GPT/tree/master)?
+        - Search for existing issues, "add comment" is tidier than "new issue"
+        - Ask on our Discord (https://discord.gg/autogpt)
+        - Provide relevant info:
+          - Provide commit-hash (`git rev-parse HEAD` gets it)
+          - If it's a pip/packages issue, provide pip version, python version
+          - If it's a crash, provide traceback.
+  - type: dropdown
+    attributes:
+      label: Which Operating System are you using?
+      description: >
+        Please select the operating system you were using to run Auto-GPT when this problem occurred.
+      options:
+        - Windows
+        - Linux
+        - MacOS
+        - Docker
+        - Devcontainer / Codespace
+        - Windows Subsystem for Linux (WSL)
+        - Other (Please specify in your problem)
+    validations:
+      required: true
+  - type: dropdown
+    attributes:
+      label: GPT-3 or GPT-4?
+      description: >
+        If you are using Auto-GPT with `--gpt3only`, your problems may be caused by
+        the [limitations](https://github.com/Significant-Gravitas/Auto-GPT/issues?q=is%3Aissue+label%3A%22AI+model+limitation%22) of GPT-3.5.
+      options:
+        - GPT-3.5
+        - GPT-4
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Steps to reproduce 🕹
+      description: |
+        **⚠️ Issues that we can't reproduce will be closed.**
+  - type: textarea
+    attributes:
+      label: Current behavior 😯
+      description: Describe what happens instead of the expected behavior.
+  - type: textarea
+    attributes:
+      label: Expected behavior 🤔
+      description: Describe what should happen.
+  - type: textarea
+    attributes:
+      label: Your prompt 📝
+      description: >
+        If applicable please provide the prompt you are using. Your prompt is stored in your `ai_settings.yaml` file.
+      value: |
+        ```yaml
+        # Paste your prompt here
+        ```
+  - type: textarea
+    attributes:
+      label: Your Logs 📒
+      description: |
+        Please include the log showing your error and the command that caused it, if applicable.
+        You can copy it from your terminal or from `logs/activity.log`.
+        This will help us understand your issue better!
+        
+        <details>
+        <summary><i>Example</i></summary>
+        ```log
+        INFO NEXT ACTION:  COMMAND = execute_shell  ARGUMENTS = {'command_line': 'some_command'}
+        INFO -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=
+        Traceback (most recent call last):
+        File "/home/anaconda3/lib/python3.9/site-packages/openai/api_requestor.py", line 619, in _interpret_response
+        self._interpret_response_line(
+        File "/home/anaconda3/lib/python3.9/site-packages/openai/api_requestor.py", line 682, in _interpret_response_line
+        raise self.handle_error_response(
+        openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 10982 tokens (10982 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.
+        ```
+        </details>
+      value: |
+        ```log
+        <insert your logs here>
+        ```

.github/ISSUE_TEMPLATE/2.feature.yml

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+name: Feature request 🚀
+description: Suggest a new idea for Auto-GPT.
+labels: ['status: needs triage']
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Please provide a searchable summary of the issue in the title above ⬆️.
+
+        Thanks for contributing by creating an issue! ❤️
+  - type: checkboxes
+    attributes:
+      label: Duplicates
+      description: Please [search the history](https://github.com/Torantulino/Auto-GPT/issues) to see if an issue already exists for the same problem.
+      options:
+        - label: I have searched the existing issues
+          required: true
+  - type: textarea
+    attributes:
+      label: Summary 💡
+      description: Describe how it should work.
+  - type: textarea
+    attributes:
+      label: Examples 🌈
+      description: Provide a link to other implementations, or screenshots of the expected behavior.
+  - type: textarea
+    attributes:
+      label: Motivation 🔦
+      description: What are you trying to accomplish? How has the lack of this feature affected you? Providing context helps us come up with a solution that is more useful in the real world.

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,40 @@
+<!-- ⚠️ At the moment any non-essential commands are not being merged.
+If you want to add non-essential commands to Auto-GPT, please create a plugin instead.
+We are expecting to ship plugin support within the week (PR #757).
+Resources:
+* https://github.com/Significant-Gravitas/Auto-GPT-Plugin-Template
+-->
+
+<!-- 📢 Announcement
+We've recently noticed an increase in pull requests focusing on combining multiple changes. While the intentions behind these PRs are appreciated, it's essential to maintain a clean and manageable git history. To ensure the quality of our repository, we kindly ask you to adhere to the following guidelines when submitting PRs:
+
+Focus on a single, specific change.
+Do not include any unrelated or "extra" modifications.
+Provide clear documentation and explanations of the changes made.
+Ensure diffs are limited to the intended lines — no applying preferred formatting styles or line endings (unless that's what the PR is about).
+For guidance on committing only the specific lines you have changed, refer to this helpful video: https://youtu.be/8-hSNHHbiZg
+
+By following these guidelines, your PRs are more likely to be merged quickly after testing, as long as they align with the project's overall direction. -->
+
+### Background
+<!-- Provide a concise overview of the rationale behind this change. Include relevant context, prior discussions, or links to related issues. Ensure that the change aligns with the project's overall direction. -->
+
+### Changes
+<!-- Describe the specific, focused change made in this pull request. Detail the modifications clearly and avoid any unrelated or "extra" changes. -->
+
+### Documentation
+<!-- Explain how your changes are documented, such as in-code comments or external documentation. Ensure that the documentation is clear, concise, and easy to understand. -->
+
+### Test Plan
+<!-- Describe how you tested this functionality. Include steps to reproduce, relevant test cases, and any other pertinent information. -->
+
+### PR Quality Checklist
+- [ ] My pull request is atomic and focuses on a single change.
+- [ ] I have thoroughly tested my changes with multiple different prompts.
+- [ ] I have considered potential risks and mitigations for my changes.
+- [ ] I have documented my changes clearly and comprehensively.
+- [ ] I have not snuck in any "extra" small tweaks changes <!-- Submit these as separate Pull Requests, they are the easiest to merge! -->
+
+<!-- If you haven't added tests, please explain why. If you have, check the appropriate box. If you've ensured your PR is atomic and well-documented, check the corresponding boxes. -->
+
+<!-- By submitting this, I agree that my pull request should be closed if I do not fill this out or follow the guidelines. -->

.github/workflows/auto_format.yml

@@ -0,0 +1,23 @@
+name: auto-format
+on: pull_request
+jobs:
+  format:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout PR branch
+        uses: actions/checkout@v2
+        with:
+          ref: ${{ github.event.pull_request.head.sha }}
+      - name: autopep8
+        uses: peter-evans/autopep8@v1
+        with:
+          args: --exit-code --recursive --in-place --aggressive --aggressive .
+      - name: Check for modified files
+        id: git-check
+        run: echo "modified=$(if git diff-index --quiet HEAD --; then echo "false"; else echo "true"; fi)" >> $GITHUB_ENV
+      - name: Push changes
+        if: steps.git-check.outputs.modified == 'true'
+        run: |
+          git config --global user.name 'Torantulino'
+          git config --global user.email '[email protected]'
+          git remote set

.github/workflows/benchmark.yml

@@ -0,0 +1,31 @@
+name: benchmark
+
+on:
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    environment: benchmark
+    strategy:
+      matrix:
+        python-version: ['3.10', '3.11']
+
+    steps:
+    - name: Check out repository
+      uses: actions/checkout@v3
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+    - name: benchmark
+      run: |
+         python benchmark/benchmark_entrepeneur_gpt_with_undecisive_user.py
+      env:
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

.github/workflows/ci.yml

@@ -0,0 +1,72 @@
+name: Python CI
+
+on:
+  push:
+    branches: [master]
+  pull_request:
+    branches: [master]
+
+concurrency:
+  group: ${{ format('ci-{0}', format('pr-{0}', github.event.pull_request.number) || github.sha) }}
+  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    env:
+      min-python-version: '3.10'
+
+    steps:
+    - name: Check out repository
+      uses: actions/checkout@v3
+
+    - name: Set up Python ${{ env.min-python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ env.min-python-version }}
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+
+    - name: Lint with flake8
+      run: flake8
+
+    - name: Check black formatting
+      run: black . --check
+      if: success() || failure()
+
+    - name: Check isort formatting
+      run: isort . --check
+      if: success() || failure()
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.10', '3.11']
+
+    steps:
+    - name: Check out repository
+      uses: actions/checkout@v3
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+
+    - name: Run unittest tests with coverage
+      run: |
+        pytest --cov=autogpt --without-integration --without-slow-integration
+
+    - name: Generate coverage report
+      run: |
+        coverage report
+        coverage xml
+      if: success() || failure()

.github/workflows/docker-image.yml

@@ -0,0 +1,18 @@
+name: Docker Image CI
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+
+jobs:
+
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Build the Docker image
+      run: docker build . --file Dockerfile --tag autogpt:$(date +%s)

.github/workflows/dockerhub-imagepush.yml

@@ -0,0 +1,24 @@
+name: Push Docker Image on Release
+
+on:
+  push:
+    branches: [ "stable" ]
+
+jobs:
+
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Log in to Docker hub
+      env:
+        DOCKER_USER: ${{secrets.DOCKER_USER}}
+        DOCKER_PASSWORD: ${{secrets.DOCKER_PASSWORD}}
+      run: |
+        docker login -u $DOCKER_USER -p $DOCKER_PASSWORD
+    - name: Build the Docker image
+      run: docker build . --file Dockerfile --tag ${{secrets.DOCKER_USER}}/auto-gpt:$(git describe --tags `git rev-list --tags --max-count=1`)
+    - name: Docker Push
+      run: docker push ${{secrets.DOCKER_USER}}/auto-gpt

.github/workflows/pr-label.yml

@@ -0,0 +1,28 @@
+name: "Pull Request auto-label"
+on:
+  # So that PRs touching the same files as the push are updated
+  push:
+  # So that the `dirtyLabel` is removed if conflicts are resolve
+  # We recommend `pull_request_target` so that github secrets are available.
+  # In `pull_request` we wouldn't be able to change labels of fork PRs
+  pull_request_target:
+    types: [opened, synchronize]
+concurrency:
+  group: ${{ format('pr-label-{0}', github.event.pull_request.number || github.sha) }}
+  cancel-in-progress: true
+
+jobs:
+  conflicts:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: write
+    steps:
+      - name: Update PRs with conflict labels
+        uses: eps1lon/actions-label-merge-conflict@releases/2.x
+        with:
+          dirtyLabel: "conflicts"
+          #removeOnDirtyLabel: "PR: ready to ship"
+          repoToken: "${{ secrets.GITHUB_TOKEN }}"
+          commentOnDirty: "This pull request has conflicts with the base branch, please resolve those so we can evaluate the pull request."
+          commentOnClean: "Conflicts have been resolved! 🎉 A maintainer will review the pull request shortly."

.gitignore

@@ -0,0 +1,161 @@
+## Original ignores
+autogpt/keys.py
+autogpt/*json
+autogpt/node_modules/
+autogpt/__pycache__/keys.cpython-310.pyc
+autogpt/auto_gpt_workspace
+package-lock.json
+*.pyc
+auto_gpt_workspace/*
+*.mpeg
+.env
+azure.yaml
+ai_settings.yaml
+last_run_ai_settings.yaml
+.vscode
+.idea/*
+auto-gpt.json
+log.txt
+log-ingestion.txt
+logs
+*.log
+*.mp3
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+plugins/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+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/
+
+# 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
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.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
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.direnv/
+.env
+.venv
+env/
+venv*/
+ENV/
+env.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+llama-*
+vicuna-*
+
+# mac
+.DS_Store
+
+# news
+CURRENT_BULLETIN.md

.pre-commit-config.yaml

@@ -0,0 +1,32 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v0.9.2
+    hooks:
+      - id: check-added-large-files
+        args: ['--maxkb=500']
+      - id: check-byte-order-marker
+      - id: check-case-conflict
+      - id: check-merge-conflict
+      - id: check-symlinks
+      - id: debug-statements
+
+  - repo: https://github.com/pycqa/isort
+    rev: 5.12.0
+    hooks:
+      - id: isort
+        language_version: python3.10
+
+  - repo: https://github.com/psf/black
+    rev: 23.3.0
+    hooks:
+      - id: black
+        language_version: python3.10
+
+  - repo: local
+    hooks:
+      - id: pytest-check
+        name: pytest-check
+        entry: pytest --cov=autogpt --without-integration --without-slow-integration
+        language: system
+        pass_filenames: false
+        always_run: true

.sourcery.yaml

@@ -0,0 +1,71 @@
+# 🪄 This is your project's Sourcery configuration file.
+
+# You can use it to get Sourcery working in the way you want, such as
+# ignoring specific refactorings, skipping directories in your project,
+# or writing custom rules.
+
+# 📚 For a complete reference to this file, see the documentation at
+# https://docs.sourcery.ai/Configuration/Project-Settings/
+
+# This file was auto-generated by Sourcery on 2023-02-25 at 21:07.
+
+version: '1'  # The schema version of this config file
+
+ignore: # A list of paths or files which Sourcery will ignore.
+- .git
+- venv
+- .venv
+- build
+- dist
+- env
+- .env
+- .tox
+
+rule_settings:
+  enable:
+  - default
+  - gpsg
+  disable: []  # A list of rule IDs Sourcery will never suggest.
+  rule_types:
+  - refactoring
+  - suggestion
+  - comment
+  python_version: '3.10' # A string specifying the lowest Python version your project supports. Sourcery will not suggest refactorings requiring a higher Python version.
+
+# rules:  # A list of custom rules Sourcery will include in its analysis.
+# - id: no-print-statements
+#   description: Do not use print statements in the test directory.
+#   pattern: print(...)
+#   language: python
+#   replacement:
+#   condition:
+#   explanation:
+#   paths:
+#     include:
+#     - test
+#     exclude:
+#     - conftest.py
+#   tests: []
+#   tags: []
+
+# rule_tags: {} # Additional rule tags.
+
+# metrics:
+#   quality_threshold: 25.0
+
+# github:
+#   labels: []
+#   ignore_labels:
+#   - sourcery-ignore
+#   request_review: author
+#   sourcery_branch: sourcery/{base_branch}
+
+# clone_detection:
+#   min_lines: 3
+#   min_duplicates: 2
+#   identical_clones_only: false
+
+# proxy:
+#   url:
+#   ssl_certs_file:
+#   no_ssl_verify: false

BULLETIN.md

@@ -0,0 +1,2 @@
+Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here.
+If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag

CODE_OF_CONDUCT.md

@@ -0,0 +1,40 @@
+# Code of Conduct for auto-gpt
+
+## 1. Purpose
+
+The purpose of this Code of Conduct is to provide guidelines for contributors to the auto-gpt project on GitHub. We aim to create a positive and inclusive environment where all participants can contribute and collaborate effectively. By participating in this project, you agree to abide by this Code of Conduct.
+
+## 2. Scope
+
+This Code of Conduct applies to all contributors, maintainers, and users of the auto-gpt project. It extends to all project spaces, including but not limited to issues, pull requests, code reviews, comments, and other forms of communication within the project.
+
+## 3. Our Standards
+
+We encourage the following behavior:
+
+* Being respectful and considerate to others
+* Actively seeking diverse perspectives
+* Providing constructive feedback and assistance
+* Demonstrating empathy and understanding
+
+We discourage the following behavior:
+
+* Harassment or discrimination of any kind
+* Disrespectful, offensive, or inappropriate language or content
+* Personal attacks or insults
+* Unwarranted criticism or negativity
+
+## 4. Reporting and Enforcement
+
+If you witness or experience any violations of this Code of Conduct, please report them to the project maintainers by email or other appropriate means. The maintainers will investigate and take appropriate action, which may include warnings, temporary or permanent bans, or other measures as necessary.
+
+Maintainers are responsible for ensuring compliance with this Code of Conduct and may take action to address any violations.
+
+## 5. Acknowledgements
+
+This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/version/2/0/code_of_conduct.html).
+
+## 6. Contact
+
+If you have any questions or concerns, please contact the project maintainers.
+

CONTRIBUTING.md

@@ -0,0 +1,105 @@
+# Contributing to ProjectName
+
+First of all, thank you for considering contributing to our project! We appreciate your time and effort, and we value any contribution, whether it's reporting a bug, suggesting a new feature, or submitting a pull request.
+
+This document provides guidelines and best practices to help you contribute effectively.
+
+## Table of Contents
+
+- [Code of Conduct](#code-of-conduct)
+- [Getting Started](#getting-started)
+- [How to Contribute](#how-to-contribute)
+  - [Reporting Bugs](#reporting-bugs)
+  - [Suggesting Enhancements](#suggesting-enhancements)
+  - [Submitting Pull Requests](#submitting-pull-requests)
+- [Style Guidelines](#style-guidelines)
+  - [Code Formatting](#code-formatting)
+  - [Pre-Commit Hooks](#pre-commit-hooks)
+
+## Code of Conduct
+
+By participating in this project, you agree to abide by our [Code of Conduct](CODE_OF_CONDUCT.md). Please read it to understand the expectations we have for everyone who contributes to this project.
+
+## 📢 A Quick Word
+Right now we will not be accepting any Contributions that add non-essential commands to Auto-GPT.
+
+However, you absolutely can still add these commands to Auto-GPT in the form of plugins. Please check out this [template](https://github.com/Significant-Gravitas/Auto-GPT-Plugin-Template).
+> ⚠️ Plugin support is expected to ship within the week. You can follow PR #757 for more updates!
+
+## Getting Started
+
+To start contributing, follow these steps:
+
+1. Fork the repository and clone your fork.
+2. Create a new branch for your changes (use a descriptive name, such as `fix-bug-123` or `add-new-feature`).
+3. Make your changes in the new branch.
+4. Test your changes thoroughly.
+5. Commit and push your changes to your fork.
+6. Create a pull request following the guidelines in the [Submitting Pull Requests](#submitting-pull-requests) section.
+
+## How to Contribute
+
+### Reporting Bugs
+
+If you find a bug in the project, please create an issue on GitHub with the following information:
+
+- A clear, descriptive title for the issue.
+- A description of the problem, including steps to reproduce the issue.
+- Any relevant logs, screenshots, or other supporting information.
+
+### Suggesting Enhancements
+
+If you have an idea for a new feature or improvement, please create an issue on GitHub with the following information:
+
+- A clear, descriptive title for the issue.
+- A detailed description of the proposed enhancement, including any benefits and potential drawbacks.
+- Any relevant examples, mockups, or supporting information.
+
+### Submitting Pull Requests
+
+When submitting a pull request, please ensure that your changes meet the following criteria:
+
+- Your pull request should be atomic and focus on a single change.
+- Your pull request should include tests for your change.
+- You should have thoroughly tested your changes with multiple different prompts.
+- You should have considered potential risks and mitigations for your changes.
+- You should have documented your changes clearly and comprehensively.
+- You should not include any unrelated or "extra" small tweaks or changes.
+
+## Style Guidelines
+
+### Code Formatting
+
+We use the `black` code formatter to maintain a consistent coding style across the project. Please ensure that your code is formatted using `black` before submitting a pull request. You can install `black` using `pip`:
+
+```bash
+pip install black
+```
+
+To format your code, run the following command in the project's root directory:
+
+```bash
+black .
+```
+### Pre-Commit Hooks
+We use pre-commit hooks to ensure that code formatting and other checks are performed automatically before each commit. To set up pre-commit hooks for this project, follow these steps:
+
+Install the pre-commit package using pip:
+```bash
+pip install pre-commit
+```
+
+Run the following command in the project's root directory to install the pre-commit hooks:
+```bash
+pre-commit install
+```
+
+Now, the pre-commit hooks will run automatically before each commit, checking your code formatting and other requirements.
+
+If you encounter any issues or have questions, feel free to reach out to the maintainers or open a new issue on GitHub. We're here to help and appreciate your efforts to contribute to the project.
+
+Happy coding, and once again, thank you for your contributions!
+
+Maintainers will look at PR that have no merge conflicts when deciding what to add to the project. Make sure your PR shows up here:
+
+https://github.com/Torantulino/Auto-GPT/pulls?q=is%3Apr+is%3Aopen+-is%3Aconflict+

Dockerfile

@@ -0,0 +1,38 @@
+# Use an official Python base image from the Docker Hub
+FROM python:3.10-slim
+
+# Install git
+RUN apt-get -y update
+RUN apt-get -y install git chromium-driver
+
+# Install Xvfb and other dependencies for headless browser testing
+RUN apt-get update \
+    && apt-get install -y wget gnupg2 libgtk-3-0 libdbus-glib-1-2 dbus-x11 xvfb ca-certificates
+
+# Install Firefox / Chromium
+RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - \
+    && echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list \
+    && apt-get update \
+    && apt-get install -y chromium firefox-esr
+
+# Set environment variables
+ENV PIP_NO_CACHE_DIR=yes \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1
+
+# Create a non-root user and set permissions
+RUN useradd --create-home appuser
+WORKDIR /home/appuser
+RUN chown appuser:appuser /home/appuser
+USER appuser
+
+# Copy the requirements.txt file and install the requirements
+COPY --chown=appuser:appuser requirements.txt .
+RUN sed -i '/Items below this point will not be included in the Docker Image/,$d' requirements.txt && \
+	pip install --no-cache-dir --user -r requirements.txt
+
+# Copy the application files
+COPY --chown=appuser:appuser autogpt/ ./autogpt
+
+# Set the entrypoint
+ENTRYPOINT ["python", "-m", "autogpt"]

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Toran Bruce Richards
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,13 @@
+---
+title: AutoGPT
+emoji: 🦾
+colorFrom: yellow
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.27.0
+app_file: ui/app.py
+pinned: false
+license: mit
+duplicated_from: aliabid94/AutoGPT
+---
+

autogpt/__main__.py

@@ -0,0 +1,5 @@
+"""Auto-GPT: A GPT powered AI Assistant"""
+import autogpt.cli
+
+if __name__ == "__main__":
+    autogpt.cli.main()

autogpt/agent/__init__.py

@@ -0,0 +1,4 @@
+from autogpt.agent.agent import Agent
+from autogpt.agent.agent_manager import AgentManager
+
+__all__ = ["Agent", "AgentManager"]

autogpt/agent/agent.py

@@ -0,0 +1,197 @@
+from colorama import Fore, Style
+
+from autogpt.app import execute_command, get_command
+from autogpt.chat import chat_with_ai, create_chat_message
+from autogpt.config import Config
+from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques
+from autogpt.json_utils.utilities import validate_json
+from autogpt.logs import logger, print_assistant_thoughts
+from autogpt.speech import say_text
+from autogpt.spinner import Spinner
+from autogpt.utils import clean_input
+
+
+class Agent:
+    """Agent class for interacting with Auto-GPT.
+
+    Attributes:
+        ai_name: The name of the agent.
+        memory: The memory object to use.
+        full_message_history: The full message history.
+        next_action_count: The number of actions to execute.
+        system_prompt: The system prompt is the initial prompt that defines everything the AI needs to know to achieve its task successfully.
+        Currently, the dynamic and customizable information in the system prompt are ai_name, description and goals.
+
+        triggering_prompt: The last sentence the AI will see before answering. For Auto-GPT, this prompt is:
+            Determine which next command to use, and respond using the format specified above:
+            The triggering prompt is not part of the system prompt because between the system prompt and the triggering
+            prompt we have contextual information that can distract the AI and make it forget that its goal is to find the next task to achieve.
+            SYSTEM PROMPT
+            CONTEXTUAL INFORMATION (memory, previous conversations, anything relevant)
+            TRIGGERING PROMPT
+
+        The triggering prompt reminds the AI about its short term meta task (defining the next task)
+    """
+
+    def __init__(
+        self,
+        ai_name,
+        memory,
+        full_message_history,
+        next_action_count,
+        system_prompt,
+        triggering_prompt,
+    ):
+        self.ai_name = ai_name
+        self.memory = memory
+        self.full_message_history = full_message_history
+        self.next_action_count = next_action_count
+        self.system_prompt = system_prompt
+        self.triggering_prompt = triggering_prompt
+
+    def start_interaction_loop(self):
+        # Interaction Loop
+        cfg = Config()
+        loop_count = 0
+        command_name = None
+        arguments = None
+        user_input = ""
+
+        while True:
+            # Discontinue if continuous limit is reached
+            loop_count += 1
+            if (
+                cfg.continuous_mode
+                and cfg.continuous_limit > 0
+                and loop_count > cfg.continuous_limit
+            ):
+                logger.typewriter_log(
+                    "Continuous Limit Reached: ", Fore.YELLOW, f"{cfg.continuous_limit}"
+                )
+                break
+
+            # Send message to AI, get response
+            with Spinner("Thinking... "):
+                assistant_reply = chat_with_ai(
+                    self.system_prompt,
+                    self.triggering_prompt,
+                    self.full_message_history,
+                    self.memory,
+                    cfg.fast_token_limit,
+                )  # TODO: This hardcodes the model to use GPT3.5. Make this an argument
+
+            assistant_reply_json = fix_json_using_multiple_techniques(assistant_reply)
+
+            # Print Assistant thoughts
+            if assistant_reply_json != {}:
+                validate_json(assistant_reply_json, "llm_response_format_1")
+                # Get command name and arguments
+                try:
+                    print_assistant_thoughts(self.ai_name, assistant_reply_json)
+                    command_name, arguments = get_command(assistant_reply_json)
+                    # command_name, arguments = assistant_reply_json_valid["command"]["name"], assistant_reply_json_valid["command"]["args"]
+                    if cfg.speak_mode:
+                        say_text(f"I want to execute {command_name}")
+                except Exception as e:
+                    logger.error("Error: \n", str(e))
+
+            if not cfg.continuous_mode and self.next_action_count == 0:
+                ### GET USER AUTHORIZATION TO EXECUTE COMMAND ###
+                # Get key press: Prompt the user to press enter to continue or escape
+                # to exit
+                logger.typewriter_log(
+                    "NEXT ACTION: ",
+                    Fore.CYAN,
+                    f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}  "
+                    f"ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}",
+                )
+                print(
+                    "Enter 'y' to authorise command, 'y -N' to run N continuous "
+                    "commands, 'n' to exit program, or enter feedback for "
+                    f"{self.ai_name}...",
+                    flush=True,
+                )
+                while True:
+                    console_input = clean_input(
+                        Fore.MAGENTA + "Input:" + Style.RESET_ALL
+                    )
+                    if console_input.lower().strip() == "y":
+                        user_input = "GENERATE NEXT COMMAND JSON"
+                        break
+                    elif console_input.lower().strip() == "":
+                        print("Invalid input format.")
+                        continue
+                    elif console_input.lower().startswith("y -"):
+                        try:
+                            self.next_action_count = abs(
+                                int(console_input.split(" ")[1])
+                            )
+                            user_input = "GENERATE NEXT COMMAND JSON"
+                        except ValueError:
+                            print(
+                                "Invalid input format. Please enter 'y -n' where n is"
+                                " the number of continuous tasks."
+                            )
+                            continue
+                        break
+                    elif console_input.lower() == "n":
+                        user_input = "EXIT"
+                        break
+                    else:
+                        user_input = console_input
+                        command_name = "human_feedback"
+                        break
+
+                if user_input == "GENERATE NEXT COMMAND JSON":
+                    logger.typewriter_log(
+                        "-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=",
+                        Fore.MAGENTA,
+                        "",
+                    )
+                elif user_input == "EXIT":
+                    print("Exiting...", flush=True)
+                    break
+            else:
+                # Print command
+                logger.typewriter_log(
+                    "NEXT ACTION: ",
+                    Fore.CYAN,
+                    f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}"
+                    f"  ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}",
+                )
+
+            # Execute command
+            if command_name is not None and command_name.lower().startswith("error"):
+                result = (
+                    f"Command {command_name} threw the following error: {arguments}"
+                )
+            elif command_name == "human_feedback":
+                result = f"Human feedback: {user_input}"
+            else:
+                result = (
+                    f"Command {command_name} returned: "
+                    f"{execute_command(command_name, arguments)}"
+                )
+                if self.next_action_count > 0:
+                    self.next_action_count -= 1
+
+            memory_to_add = (
+                f"Assistant Reply: {assistant_reply} "
+                f"\nResult: {result} "
+                f"\nHuman Feedback: {user_input} "
+            )
+
+            self.memory.add(memory_to_add)
+
+            # Check if there's a result from the command append it to the message
+            # history
+            if result is not None:
+                self.full_message_history.append(create_chat_message("system", result))
+                logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result)
+            else:
+                self.full_message_history.append(
+                    create_chat_message("system", "Unable to execute command")
+                )
+                logger.typewriter_log(
+                    "SYSTEM: ", Fore.YELLOW, "Unable to execute command"
+                )

autogpt/agent/agent_manager.py

@@ -0,0 +1,103 @@
+"""Agent manager for managing GPT agents"""
+from __future__ import annotations
+
+from typing import Union
+
+from autogpt.config.config import Singleton
+from autogpt.llm_utils import create_chat_completion
+
+
+class AgentManager(metaclass=Singleton):
+    """Agent manager for managing GPT agents"""
+
+    def __init__(self):
+        self.next_key = 0
+        self.agents = {}  # key, (task, full_message_history, model)
+
+    # Create new GPT agent
+    # TODO: Centralise use of create_chat_completion() to globally enforce token limit
+
+    def create_agent(self, task: str, prompt: str, model: str) -> tuple[int, str]:
+        """Create a new agent and return its key
+
+        Args:
+            task: The task to perform
+            prompt: The prompt to use
+            model: The model to use
+
+        Returns:
+            The key of the new agent
+        """
+        messages = [
+            {"role": "user", "content": prompt},
+        ]
+
+        # Start GPT instance
+        agent_reply = create_chat_completion(
+            model=model,
+            messages=messages,
+        )
+
+        # Update full message history
+        messages.append({"role": "assistant", "content": agent_reply})
+
+        key = self.next_key
+        # This is done instead of len(agents) to make keys unique even if agents
+        # are deleted
+        self.next_key += 1
+
+        self.agents[key] = (task, messages, model)
+
+        return key, agent_reply
+
+    def message_agent(self, key: str | int, message: str) -> str:
+        """Send a message to an agent and return its response
+
+        Args:
+            key: The key of the agent to message
+            message: The message to send to the agent
+
+        Returns:
+            The agent's response
+        """
+        task, messages, model = self.agents[int(key)]
+
+        # Add user message to message history before sending to agent
+        messages.append({"role": "user", "content": message})
+
+        # Start GPT instance
+        agent_reply = create_chat_completion(
+            model=model,
+            messages=messages,
+        )
+
+        # Update full message history
+        messages.append({"role": "assistant", "content": agent_reply})
+
+        return agent_reply
+
+    def list_agents(self) -> list[tuple[str | int, str]]:
+        """Return a list of all agents
+
+        Returns:
+            A list of tuples of the form (key, task)
+        """
+
+        # Return a list of agent keys and their tasks
+        return [(key, task) for key, (task, _, _) in self.agents.items()]
+
+    def delete_agent(self, key: Union[str, int]) -> bool:
+        """Delete an agent from the agent manager
+
+        Args:
+            key: The key of the agent to delete
+
+        Returns:
+            True if successful, False otherwise
+        """
+
+        try:
+            del self.agents[int(key)]
+            return True
+        except KeyError:
+            return False

autogpt/app.py

@@ -0,0 +1,330 @@
+""" Command and Control """
+import json
+from typing import Dict, List, NoReturn, Union
+
+from autogpt.agent.agent_manager import AgentManager
+from autogpt.commands.analyze_code import analyze_code
+from autogpt.commands.audio_text import read_audio_from_file
+from autogpt.commands.execute_code import (
+    execute_python_file,
+    execute_shell,
+    execute_shell_popen,
+)
+from autogpt.commands.file_operations import (
+    append_to_file,
+    delete_file,
+    download_file,
+    read_file,
+    search_files,
+    write_to_file,
+)
+from autogpt.commands.git_operations import clone_repository
+from autogpt.commands.google_search import google_official_search, google_search
+from autogpt.commands.image_gen import generate_image
+from autogpt.commands.improve_code import improve_code
+from autogpt.commands.twitter import send_tweet
+from autogpt.commands.web_requests import scrape_links, scrape_text
+from autogpt.commands.web_selenium import browse_website
+from autogpt.commands.write_tests import write_tests
+from autogpt.config import Config
+from autogpt.json_utils.json_fix_llm import fix_and_parse_json
+from autogpt.memory import get_memory
+from autogpt.processing.text import summarize_text
+from autogpt.speech import say_text
+
+CFG = Config()
+AGENT_MANAGER = AgentManager()
+
+
+def is_valid_int(value: str) -> bool:
+    """Check if the value is a valid integer
+
+    Args:
+        value (str): The value to check
+
+    Returns:
+        bool: True if the value is a valid integer, False otherwise
+    """
+    try:
+        int(value)
+        return True
+    except ValueError:
+        return False
+
+
+def get_command(response_json: Dict):
+    """Parse the response and return the command name and arguments
+
+    Args:
+        response_json (json): The response from the AI
+
+    Returns:
+        tuple: The command name and arguments
+
+    Raises:
+        json.decoder.JSONDecodeError: If the response is not valid JSON
+
+        Exception: If any other error occurs
+    """
+    try:
+        if "command" not in response_json:
+            return "Error:", "Missing 'command' object in JSON"
+
+        if not isinstance(response_json, dict):
+            return "Error:", f"'response_json' object is not dictionary {response_json}"
+
+        command = response_json["command"]
+        if not isinstance(command, dict):
+            return "Error:", "'command' object is not a dictionary"
+
+        if "name" not in command:
+            return "Error:", "Missing 'name' field in 'command' object"
+
+        command_name = command["name"]
+
+        # Use an empty dictionary if 'args' field is not present in 'command' object
+        arguments = command.get("args", {})
+
+        return command_name, arguments
+    except json.decoder.JSONDecodeError:
+        return "Error:", "Invalid JSON"
+    # All other errors, return "Error: + error message"
+    except Exception as e:
+        return "Error:", str(e)
+
+
+def map_command_synonyms(command_name: str):
+    """Takes the original command name given by the AI, and checks if the
+    string matches a list of common/known hallucinations
+    """
+    synonyms = [
+        ("write_file", "write_to_file"),
+        ("create_file", "write_to_file"),
+        ("search", "google"),
+    ]
+    for seen_command, actual_command_name in synonyms:
+        if command_name == seen_command:
+            return actual_command_name
+    return command_name
+
+
+def execute_command(command_name: str, arguments):
+    """Execute the command and return the result
+
+    Args:
+        command_name (str): The name of the command to execute
+        arguments (dict): The arguments for the command
+
+    Returns:
+        str: The result of the command
+    """
+    try:
+        command_name = map_command_synonyms(command_name.lower())
+        if command_name == "google":
+            # Check if the Google API key is set and use the official search method
+            # If the API key is not set or has only whitespaces, use the unofficial
+            # search method
+            key = CFG.google_api_key
+            if key and key.strip() and key != "your-google-api-key":
+                google_result = google_official_search(arguments["input"])
+                return google_result
+            else:
+                google_result = google_search(arguments["input"])
+
+            # google_result can be a list or a string depending on the search results
+            if isinstance(google_result, list):
+                safe_message = [
+                    google_result_single.encode("utf-8", "ignore")
+                    for google_result_single in google_result
+                ]
+            else:
+                safe_message = google_result.encode("utf-8", "ignore")
+
+            return safe_message.decode("utf-8")
+        elif command_name == "memory_add":
+            memory = get_memory(CFG)
+            return memory.add(arguments["string"])
+        elif command_name == "start_agent":
+            return start_agent(
+                arguments["name"], arguments["task"], arguments["prompt"]
+            )
+        elif command_name == "message_agent":
+            return message_agent(arguments["key"], arguments["message"])
+        elif command_name == "list_agents":
+            return list_agents()
+        elif command_name == "delete_agent":
+            return delete_agent(arguments["key"])
+        elif command_name == "get_text_summary":
+            return get_text_summary(arguments["url"], arguments["question"])
+        elif command_name == "get_hyperlinks":
+            return get_hyperlinks(arguments["url"])
+        elif command_name == "clone_repository":
+            return clone_repository(
+                arguments["repository_url"], arguments["clone_path"]
+            )
+        elif command_name == "read_file":
+            return read_file(arguments["file"])
+        elif command_name == "write_to_file":
+            return write_to_file(arguments["file"], arguments["text"])
+        elif command_name == "append_to_file":
+            return append_to_file(arguments["file"], arguments["text"])
+        elif command_name == "delete_file":
+            return delete_file(arguments["file"])
+        elif command_name == "search_files":
+            return search_files(arguments["directory"])
+        elif command_name == "download_file":
+            if not CFG.allow_downloads:
+                return "Error: You do not have user authorization to download files locally."
+            return download_file(arguments["url"], arguments["file"])
+        elif command_name == "browse_website":
+            return browse_website(arguments["url"], arguments["question"])
+        # TODO: Change these to take in a file rather than pasted code, if
+        # non-file is given, return instructions "Input should be a python
+        # filepath, write your code to file and try again"
+        elif command_name == "analyze_code":
+            return analyze_code(arguments["code"])
+        elif command_name == "improve_code":
+            return improve_code(arguments["suggestions"], arguments["code"])
+        elif command_name == "write_tests":
+            return write_tests(arguments["code"], arguments.get("focus"))
+        elif command_name == "execute_python_file":  # Add this command
+            return execute_python_file(arguments["file"])
+        elif command_name == "execute_shell":
+            if CFG.execute_local_commands:
+                return execute_shell(arguments["command_line"])
+            else:
+                return (
+                    "You are not allowed to run local shell commands. To execute"
+                    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
+                    "in your config. Do not attempt to bypass the restriction."
+                )
+        elif command_name == "execute_shell_popen":
+            if CFG.execute_local_commands:
+                return execute_shell_popen(arguments["command_line"])
+            else:
+                return (
+                    "You are not allowed to run local shell commands. To execute"
+                    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
+                    "in your config. Do not attempt to bypass the restriction."
+                )
+        elif command_name == "read_audio_from_file":
+            return read_audio_from_file(arguments["file"])
+        elif command_name == "generate_image":
+            return generate_image(arguments["prompt"])
+        elif command_name == "send_tweet":
+            return send_tweet(arguments["text"])
+        elif command_name == "do_nothing":
+            return "No action performed."
+        elif command_name == "task_complete":
+            shutdown()
+        else:
+            return (
+                f"Unknown command '{command_name}'. Please refer to the 'COMMANDS'"
+                " list for available commands and only respond in the specified JSON"
+                " format."
+            )
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def get_text_summary(url: str, question: str) -> str:
+    """Return the results of a Google search
+
+    Args:
+        url (str): The url to scrape
+        question (str): The question to summarize the text for
+
+    Returns:
+        str: The summary of the text
+    """
+    text = scrape_text(url)
+    summary = summarize_text(url, text, question)
+    return f""" "Result" : {summary}"""
+
+
+def get_hyperlinks(url: str) -> Union[str, List[str]]:
+    """Return the results of a Google search
+
+    Args:
+        url (str): The url to scrape
+
+    Returns:
+        str or list: The hyperlinks on the page
+    """
+    return scrape_links(url)
+
+
+def shutdown() -> NoReturn:
+    """Shut down the program"""
+    print("Shutting down...")
+    quit()
+
+
+def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) -> str:
+    """Start an agent with a given name, task, and prompt
+
+    Args:
+        name (str): The name of the agent
+        task (str): The task of the agent
+        prompt (str): The prompt for the agent
+        model (str): The model to use for the agent
+
+    Returns:
+        str: The response of the agent
+    """
+    # Remove underscores from name
+    voice_name = name.replace("_", " ")
+
+    first_message = f"""You are {name}.  Respond with: "Acknowledged"."""
+    agent_intro = f"{voice_name} here, Reporting for duty!"
+
+    # Create agent
+    if CFG.speak_mode:
+        say_text(agent_intro, 1)
+    key, ack = AGENT_MANAGER.create_agent(task, first_message, model)
+
+    if CFG.speak_mode:
+        say_text(f"Hello {voice_name}. Your task is as follows. {task}.")
+
+    # Assign task (prompt), get response
+    agent_response = AGENT_MANAGER.message_agent(key, prompt)
+
+    return f"Agent {name} created with key {key}. First response: {agent_response}"
+
+
+def message_agent(key: str, message: str) -> str:
+    """Message an agent with a given key and message"""
+    # Check if the key is a valid integer
+    if is_valid_int(key):
+        agent_response = AGENT_MANAGER.message_agent(int(key), message)
+    else:
+        return "Invalid key, must be an integer."
+
+    # Speak response
+    if CFG.speak_mode:
+        say_text(agent_response, 1)
+    return agent_response
+
+
+def list_agents():
+    """List all agents
+
+    Returns:
+        str: A list of all agents
+    """
+    return "List of agents:\n" + "\n".join(
+        [str(x[0]) + ": " + x[1] for x in AGENT_MANAGER.list_agents()]
+    )
+
+
+def delete_agent(key: str) -> str:
+    """Delete an agent with a given key
+
+    Args:
+        key (str): The key of the agent to delete
+
+    Returns:
+        str: A message indicating whether the agent was deleted or not
+    """
+    result = AGENT_MANAGER.delete_agent(key)
+    return f"Agent {key} deleted." if result else f"Agent {key} does not exist."

autogpt/chat.py

@@ -0,0 +1,175 @@
+import time
+
+from openai.error import RateLimitError
+
+from autogpt import token_counter
+from autogpt.config import Config
+from autogpt.llm_utils import create_chat_completion
+from autogpt.logs import logger
+
+cfg = Config()
+
+
+def create_chat_message(role, content):
+    """
+    Create a chat message with the given role and content.
+
+    Args:
+    role (str): The role of the message sender, e.g., "system", "user", or "assistant".
+    content (str): The content of the message.
+
+    Returns:
+    dict: A dictionary containing the role and content of the message.
+    """
+    return {"role": role, "content": content}
+
+
+def generate_context(prompt, relevant_memory, full_message_history, model):
+    current_context = [
+        create_chat_message("system", prompt),
+        create_chat_message(
+            "system", f"The current time and date is {time.strftime('%c')}"
+        ),
+        create_chat_message(
+            "system",
+            f"This reminds you of these events from your past:\n{relevant_memory}\n\n",
+        ),
+    ]
+
+    # Add messages from the full message history until we reach the token limit
+    next_message_to_add_index = len(full_message_history) - 1
+    insertion_index = len(current_context)
+    # Count the currently used tokens
+    current_tokens_used = token_counter.count_message_tokens(current_context, model)
+    return (
+        next_message_to_add_index,
+        current_tokens_used,
+        insertion_index,
+        current_context,
+    )
+
+
+# TODO: Change debug from hardcode to argument
+def chat_with_ai(
+    prompt, user_input, full_message_history, permanent_memory, token_limit
+):
+    """Interact with the OpenAI API, sending the prompt, user input, message history,
+    and permanent memory."""
+    while True:
+        try:
+            """
+            Interact with the OpenAI API, sending the prompt, user input,
+                message history, and permanent memory.
+
+            Args:
+                prompt (str): The prompt explaining the rules to the AI.
+                user_input (str): The input from the user.
+                full_message_history (list): The list of all messages sent between the
+                    user and the AI.
+                permanent_memory (Obj): The memory object containing the permanent
+                  memory.
+                token_limit (int): The maximum number of tokens allowed in the API call.
+
+            Returns:
+            str: The AI's response.
+            """
+            model = cfg.fast_llm_model  # TODO: Change model from hardcode to argument
+            # Reserve 1000 tokens for the response
+
+            logger.debug(f"Token limit: {token_limit}")
+            send_token_limit = token_limit - 1000
+
+            relevant_memory = (
+                ""
+                if len(full_message_history) == 0
+                else permanent_memory.get_relevant(str(full_message_history[-9:]), 10)
+            )
+
+            logger.debug(f"Memory Stats: {permanent_memory.get_stats()}")
+
+            (
+                next_message_to_add_index,
+                current_tokens_used,
+                insertion_index,
+                current_context,
+            ) = generate_context(prompt, relevant_memory, full_message_history, model)
+
+            while current_tokens_used > 2500:
+                # remove memories until we are under 2500 tokens
+                relevant_memory = relevant_memory[:-1]
+                (
+                    next_message_to_add_index,
+                    current_tokens_used,
+                    insertion_index,
+                    current_context,
+                ) = generate_context(
+                    prompt, relevant_memory, full_message_history, model
+                )
+
+            current_tokens_used += token_counter.count_message_tokens(
+                [create_chat_message("user", user_input)], model
+            )  # Account for user input (appended later)
+
+            while next_message_to_add_index >= 0:
+                # print (f"CURRENT TOKENS USED: {current_tokens_used}")
+                message_to_add = full_message_history[next_message_to_add_index]
+
+                tokens_to_add = token_counter.count_message_tokens(
+                    [message_to_add], model
+                )
+                if current_tokens_used + tokens_to_add > send_token_limit:
+                    break
+
+                # Add the most recent message to the start of the current context,
+                #  after the two system prompts.
+                current_context.insert(
+                    insertion_index, full_message_history[next_message_to_add_index]
+                )
+
+                # Count the currently used tokens
+                current_tokens_used += tokens_to_add
+
+                # Move to the next most recent message in the full message history
+                next_message_to_add_index -= 1
+
+            # Append user input, the length of this is accounted for above
+            current_context.extend([create_chat_message("user", user_input)])
+
+            # Calculate remaining tokens
+            tokens_remaining = token_limit - current_tokens_used
+            # assert tokens_remaining >= 0, "Tokens remaining is negative.
+            # This should never happen, please submit a bug report at
+            #  https://www.github.com/Torantulino/Auto-GPT"
+
+            # Debug print the current context
+            logger.debug(f"Token limit: {token_limit}")
+            logger.debug(f"Send Token Count: {current_tokens_used}")
+            logger.debug(f"Tokens remaining for response: {tokens_remaining}")
+            logger.debug("------------ CONTEXT SENT TO AI ---------------")
+            for message in current_context:
+                # Skip printing the prompt
+                if message["role"] == "system" and message["content"] == prompt:
+                    continue
+                logger.debug(f"{message['role'].capitalize()}: {message['content']}")
+                logger.debug("")
+            logger.debug("----------- END OF CONTEXT ----------------")
+
+            # TODO: use a model defined elsewhere, so that model can contain
+            # temperature and other settings we care about
+            assistant_reply = create_chat_completion(
+                model=model,
+                messages=current_context,
+                max_tokens=tokens_remaining,
+            )
+
+            # Update full message history
+            full_message_history.append(create_chat_message("user", user_input))
+            full_message_history.append(
+                create_chat_message("assistant", assistant_reply)
+            )
+
+            return assistant_reply
+        except RateLimitError:
+            # TODO: When we switch to langchain, this is built in
+            print("Error: ", "API Rate Limit Reached. Waiting 10 seconds...")
+            time.sleep(10)

autogpt/cli.py

@@ -0,0 +1,145 @@
+"""Main script for the autogpt package."""
+import click
+
+
+@click.group(invoke_without_command=True)
+@click.option("-c", "--continuous", is_flag=True, help="Enable Continuous Mode")
+@click.option(
+    "--skip-reprompt",
+    "-y",
+    is_flag=True,
+    help="Skips the re-prompting messages at the beginning of the script",
+)
+@click.option(
+    "--ai-settings",
+    "-C",
+    help="Specifies which ai_settings.yaml file to use, will also automatically skip the re-prompt.",
+)
+@click.option(
+    "-l",
+    "--continuous-limit",
+    type=int,
+    help="Defines the number of times to run in continuous mode",
+)
+@click.option("--speak", is_flag=True, help="Enable Speak Mode")
+@click.option("--debug", is_flag=True, help="Enable Debug Mode")
+@click.option("--gpt3only", is_flag=True, help="Enable GPT3.5 Only Mode")
+@click.option("--gpt4only", is_flag=True, help="Enable GPT4 Only Mode")
+@click.option(
+    "--use-memory",
+    "-m",
+    "memory_type",
+    type=str,
+    help="Defines which Memory backend to use",
+)
+@click.option(
+    "-b",
+    "--browser-name",
+    help="Specifies which web-browser to use when using selenium to scrape the web.",
+)
+@click.option(
+    "--allow-downloads",
+    is_flag=True,
+    help="Dangerous: Allows Auto-GPT to download files natively.",
+)
+@click.option(
+    "--skip-news",
+    is_flag=True,
+    help="Specifies whether to suppress the output of latest news on startup.",
+)
+@click.pass_context
+def main(
+    ctx: click.Context,
+    continuous: bool,
+    continuous_limit: int,
+    ai_settings: str,
+    skip_reprompt: bool,
+    speak: bool,
+    debug: bool,
+    gpt3only: bool,
+    gpt4only: bool,
+    memory_type: str,
+    browser_name: str,
+    allow_downloads: bool,
+    skip_news: bool,
+) -> None:
+    """
+    Welcome to AutoGPT an experimental open-source application showcasing the capabilities of the GPT-4 pushing the boundaries of AI.
+
+    Start an Auto-GPT assistant.
+    """
+    # Put imports inside function to avoid importing everything when starting the CLI
+    import logging
+
+    from colorama import Fore
+
+    from autogpt.agent.agent import Agent
+    from autogpt.config import Config, check_openai_api_key
+    from autogpt.configurator import create_config
+    from autogpt.logs import logger
+    from autogpt.memory import get_memory
+    from autogpt.prompt import construct_prompt
+    from autogpt.utils import get_current_git_branch, get_latest_bulletin
+
+    if ctx.invoked_subcommand is None:
+        cfg = Config()
+        # TODO: fill in llm values here
+        check_openai_api_key()
+        create_config(
+            continuous,
+            continuous_limit,
+            ai_settings,
+            skip_reprompt,
+            speak,
+            debug,
+            gpt3only,
+            gpt4only,
+            memory_type,
+            browser_name,
+            allow_downloads,
+            skip_news,
+        )
+        logger.set_level(logging.DEBUG if cfg.debug_mode else logging.INFO)
+        ai_name = ""
+        if not cfg.skip_news:
+            motd = get_latest_bulletin()
+            if motd:
+                logger.typewriter_log("NEWS: ", Fore.GREEN, motd)
+            git_branch = get_current_git_branch()
+            if git_branch and git_branch != "stable":
+                logger.typewriter_log(
+                    "WARNING: ",
+                    Fore.RED,
+                    f"You are running on `{git_branch}` branch "
+                    "- this is not a supported branch.",
+                )
+        system_prompt = construct_prompt()
+        # print(prompt)
+        # Initialize variables
+        full_message_history = []
+        next_action_count = 0
+        # Make a constant:
+        triggering_prompt = (
+            "Determine which next command to use, and respond using the"
+            " format specified above:"
+        )
+        # Initialize memory and make sure it is empty.
+        # this is particularly important for indexing and referencing pinecone memory
+        memory = get_memory(cfg, init=True)
+        logger.typewriter_log(
+            "Using memory of type:", Fore.GREEN, f"{memory.__class__.__name__}"
+        )
+        logger.typewriter_log("Using Browser:", Fore.GREEN, cfg.selenium_web_browser)
+        agent = Agent(
+            ai_name=ai_name,
+            memory=memory,
+            full_message_history=full_message_history,
+            next_action_count=next_action_count,
+            system_prompt=system_prompt,
+            triggering_prompt=triggering_prompt,
+        )
+        agent.start_interaction_loop()
+
+
+if __name__ == "__main__":
+    main()

autogpt/commands/analyze_code.py

@@ -0,0 +1,25 @@
+"""Code evaluation module."""
+from __future__ import annotations
+
+from autogpt.llm_utils import call_ai_function
+
+
+def analyze_code(code: str) -> list[str]:
+    """
+    A function that takes in a string and returns a response from create chat
+      completion api call.
+
+    Parameters:
+        code (str): Code to be evaluated.
+    Returns:
+        A result string from create chat completion. A list of suggestions to
+            improve the code.
+    """
+
+    function_string = "def analyze_code(code: str) -> List[str]:"
+    args = [code]
+    description_string = (
+        "Analyzes the given code and returns a list of suggestions" " for improvements."
+    )
+
+    return call_ai_function(function_string, args, description_string)

autogpt/commands/audio_text.py

@@ -0,0 +1,36 @@
+import json
+
+import requests
+
+from autogpt.config import Config
+from autogpt.workspace import path_in_workspace
+
+cfg = Config()
+
+
+def read_audio_from_file(audio_path):
+    audio_path = path_in_workspace(audio_path)
+    with open(audio_path, "rb") as audio_file:
+        audio = audio_file.read()
+    return read_audio(audio)
+
+
+def read_audio(audio):
+    model = cfg.huggingface_audio_to_text_model
+    api_url = f"https://api-inference.huggingface.co/models/{model}"
+    api_token = cfg.huggingface_api_token
+    headers = {"Authorization": f"Bearer {api_token}"}
+
+    if api_token is None:
+        raise ValueError(
+            "You need to set your Hugging Face API token in the config file."
+        )
+
+    response = requests.post(
+        api_url,
+        headers=headers,
+        data=audio,
+    )
+
+    text = json.loads(response.content.decode("utf-8"))["text"]
+    return "The audio says: " + text

autogpt/commands/execute_code.py

@@ -0,0 +1,158 @@
+"""Execute code in a Docker container"""
+import os
+import subprocess
+
+import docker
+from docker.errors import ImageNotFound
+
+from autogpt.workspace import WORKSPACE_PATH, path_in_workspace
+
+
+def execute_python_file(file: str) -> str:
+    """Execute a Python file in a Docker container and return the output
+
+    Args:
+        file (str): The name of the file to execute
+
+    Returns:
+        str: The output of the file
+    """
+
+    print(f"Executing file '{file}' in workspace '{WORKSPACE_PATH}'")
+
+    if not file.endswith(".py"):
+        return "Error: Invalid file type. Only .py files are allowed."
+
+    file_path = path_in_workspace(file)
+
+    if not os.path.isfile(file_path):
+        return f"Error: File '{file}' does not exist."
+
+    if we_are_running_in_a_docker_container():
+        result = subprocess.run(
+            f"python {file_path}", capture_output=True, encoding="utf8", shell=True
+        )
+        if result.returncode == 0:
+            return result.stdout
+        else:
+            return f"Error: {result.stderr}"
+
+    try:
+        client = docker.from_env()
+
+        # You can replace this with the desired Python image/version
+        # You can find available Python images on Docker Hub:
+        # https://hub.docker.com/_/python
+        image_name = "python:3-alpine"
+        try:
+            client.images.get(image_name)
+            print(f"Image '{image_name}' found locally")
+        except ImageNotFound:
+            print(f"Image '{image_name}' not found locally, pulling from Docker Hub")
+            # Use the low-level API to stream the pull response
+            low_level_client = docker.APIClient()
+            for line in low_level_client.pull(image_name, stream=True, decode=True):
+                # Print the status and progress, if available
+                status = line.get("status")
+                progress = line.get("progress")
+                if status and progress:
+                    print(f"{status}: {progress}")
+                elif status:
+                    print(status)
+
+        container = client.containers.run(
+            image_name,
+            f"python {file}",
+            volumes={
+                os.path.abspath(WORKSPACE_PATH): {
+                    "bind": "/workspace",
+                    "mode": "ro",
+                }
+            },
+            working_dir="/workspace",
+            stderr=True,
+            stdout=True,
+            detach=True,
+        )
+
+        container.wait()
+        logs = container.logs().decode("utf-8")
+        container.remove()
+
+        # print(f"Execution complete. Output: {output}")
+        # print(f"Logs: {logs}")
+
+        return logs
+
+    except docker.errors.DockerException as e:
+        print(
+            "Could not run the script in a container. If you haven't already, please install Docker https://docs.docker.com/get-docker/"
+        )
+        return f"Error: {str(e)}"
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def execute_shell(command_line: str) -> str:
+    """Execute a shell command and return the output
+
+    Args:
+        command_line (str): The command line to execute
+
+    Returns:
+        str: The output of the command
+    """
+    current_dir = os.getcwd()
+    # Change dir into workspace if necessary
+    if str(WORKSPACE_PATH) not in current_dir:
+        os.chdir(WORKSPACE_PATH)
+
+    print(f"Executing command '{command_line}' in working directory '{os.getcwd()}'")
+
+    result = subprocess.run(command_line, capture_output=True, shell=True)
+    output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"
+
+    # Change back to whatever the prior working dir was
+
+    os.chdir(current_dir)
+
+    return output
+
+
+def execute_shell_popen(command_line) -> str:
+    """Execute a shell command with Popen and returns an english description
+    of the event and the process id
+
+    Args:
+        command_line (str): The command line to execute
+
+    Returns:
+        str: Description of the fact that the process started and its id
+    """
+    current_dir = os.getcwd()
+    # Change dir into workspace if necessary
+    if str(WORKSPACE_PATH) not in current_dir:
+        os.chdir(WORKSPACE_PATH)
+
+    print(f"Executing command '{command_line}' in working directory '{os.getcwd()}'")
+
+    do_not_show_output = subprocess.DEVNULL
+    process = subprocess.Popen(
+        command_line, shell=True, stdout=do_not_show_output, stderr=do_not_show_output
+    )
+
+    # Change back to whatever the prior working dir was
+
+    os.chdir(current_dir)
+
+    return f"Subprocess started with PID:'{str(process.pid)}'"
+
+
+def we_are_running_in_a_docker_container() -> bool:
+    """Check if we are running in a Docker container
+
+    Returns:
+        bool: True if we are running in a Docker container, False otherwise
+    """
+    return os.path.exists("/.dockerenv")

autogpt/commands/file_operations.py

@@ -0,0 +1,267 @@
+"""File operations for AutoGPT"""
+from __future__ import annotations
+
+import os
+import os.path
+from typing import Generator
+
+import requests
+from colorama import Back, Fore
+from requests.adapters import HTTPAdapter, Retry
+
+from autogpt.spinner import Spinner
+from autogpt.utils import readable_file_size
+from autogpt.workspace import WORKSPACE_PATH, path_in_workspace
+
+LOG_FILE = "file_logger.txt"
+LOG_FILE_PATH = WORKSPACE_PATH / LOG_FILE
+
+
+def check_duplicate_operation(operation: str, filename: str) -> bool:
+    """Check if the operation has already been performed on the given file
+
+    Args:
+        operation (str): The operation to check for
+        filename (str): The name of the file to check for
+
+    Returns:
+        bool: True if the operation has already been performed on the file
+    """
+    log_content = read_file(LOG_FILE)
+    log_entry = f"{operation}: {filename}\n"
+    return log_entry in log_content
+
+
+def log_operation(operation: str, filename: str) -> None:
+    """Log the file operation to the file_logger.txt
+
+    Args:
+        operation (str): The operation to log
+        filename (str): The name of the file the operation was performed on
+    """
+    log_entry = f"{operation}: {filename}\n"
+
+    # Create the log file if it doesn't exist
+    if not os.path.exists(LOG_FILE_PATH):
+        with open(LOG_FILE_PATH, "w", encoding="utf-8") as f:
+            f.write("File Operation Logger ")
+
+    append_to_file(LOG_FILE, log_entry, shouldLog=False)
+
+
+def split_file(
+    content: str, max_length: int = 4000, overlap: int = 0
+) -> Generator[str, None, None]:
+    """
+    Split text into chunks of a specified maximum length with a specified overlap
+    between chunks.
+
+    :param content: The input text to be split into chunks
+    :param max_length: The maximum length of each chunk,
+        default is 4000 (about 1k token)
+    :param overlap: The number of overlapping characters between chunks,
+        default is no overlap
+    :return: A generator yielding chunks of text
+    """
+    start = 0
+    content_length = len(content)
+
+    while start < content_length:
+        end = start + max_length
+        if end + overlap < content_length:
+            chunk = content[start : end + overlap - 1]
+        else:
+            chunk = content[start:content_length]
+
+            # Account for the case where the last chunk is shorter than the overlap, so it has already been consumed
+            if len(chunk) <= overlap:
+                break
+
+        yield chunk
+        start += max_length - overlap
+
+
+def read_file(filename: str) -> str:
+    """Read a file and return the contents
+
+    Args:
+        filename (str): The name of the file to read
+
+    Returns:
+        str: The contents of the file
+    """
+    try:
+        filepath = path_in_workspace(filename)
+        with open(filepath, "r", encoding="utf-8") as f:
+            content = f.read()
+        return content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def ingest_file(
+    filename: str, memory, max_length: int = 4000, overlap: int = 200
+) -> None:
+    """
+    Ingest a file by reading its content, splitting it into chunks with a specified
+    maximum length and overlap, and adding the chunks to the memory storage.
+
+    :param filename: The name of the file to ingest
+    :param memory: An object with an add() method to store the chunks in memory
+    :param max_length: The maximum length of each chunk, default is 4000
+    :param overlap: The number of overlapping characters between chunks, default is 200
+    """
+    try:
+        print(f"Working with file {filename}")
+        content = read_file(filename)
+        content_length = len(content)
+        print(f"File length: {content_length} characters")
+
+        chunks = list(split_file(content, max_length=max_length, overlap=overlap))
+
+        num_chunks = len(chunks)
+        for i, chunk in enumerate(chunks):
+            print(f"Ingesting chunk {i + 1} / {num_chunks} into memory")
+            memory_to_add = (
+                f"Filename: {filename}\n" f"Content part#{i + 1}/{num_chunks}: {chunk}"
+            )
+
+            memory.add(memory_to_add)
+
+        print(f"Done ingesting {num_chunks} chunks from {filename}.")
+    except Exception as e:
+        print(f"Error while ingesting file '{filename}': {str(e)}")
+
+
+def write_to_file(filename: str, text: str) -> str:
+    """Write text to a file
+
+    Args:
+        filename (str): The name of the file to write to
+        text (str): The text to write to the file
+
+    Returns:
+        str: A message indicating success or failure
+    """
+    if check_duplicate_operation("write", filename):
+        return "Error: File has already been updated."
+    try:
+        filepath = path_in_workspace(filename)
+        directory = os.path.dirname(filepath)
+        if not os.path.exists(directory):
+            os.makedirs(directory)
+        with open(filepath, "w", encoding="utf-8") as f:
+            f.write(text)
+        log_operation("write", filename)
+        return "File written to successfully."
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def append_to_file(filename: str, text: str, shouldLog: bool = True) -> str:
+    """Append text to a file
+
+    Args:
+        filename (str): The name of the file to append to
+        text (str): The text to append to the file
+
+    Returns:
+        str: A message indicating success or failure
+    """
+    try:
+        filepath = path_in_workspace(filename)
+        with open(filepath, "a") as f:
+            f.write(text)
+
+        if shouldLog:
+            log_operation("append", filename)
+
+        return "Text appended successfully."
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def delete_file(filename: str) -> str:
+    """Delete a file
+
+    Args:
+        filename (str): The name of the file to delete
+
+    Returns:
+        str: A message indicating success or failure
+    """
+    if check_duplicate_operation("delete", filename):
+        return "Error: File has already been deleted."
+    try:
+        filepath = path_in_workspace(filename)
+        os.remove(filepath)
+        log_operation("delete", filename)
+        return "File deleted successfully."
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def search_files(directory: str) -> list[str]:
+    """Search for files in a directory
+
+    Args:
+        directory (str): The directory to search in
+
+    Returns:
+        list[str]: A list of files found in the directory
+    """
+    found_files = []
+
+    if directory in {"", "/"}:
+        search_directory = WORKSPACE_PATH
+    else:
+        search_directory = path_in_workspace(directory)
+
+    for root, _, files in os.walk(search_directory):
+        for file in files:
+            if file.startswith("."):
+                continue
+            relative_path = os.path.relpath(os.path.join(root, file), WORKSPACE_PATH)
+            found_files.append(relative_path)
+
+    return found_files
+
+
+def download_file(url, filename):
+    """Downloads a file
+    Args:
+        url (str): URL of the file to download
+        filename (str): Filename to save the file as
+    """
+    safe_filename = path_in_workspace(filename)
+    try:
+        message = f"{Fore.YELLOW}Downloading file from {Back.LIGHTBLUE_EX}{url}{Back.RESET}{Fore.RESET}"
+        with Spinner(message) as spinner:
+            session = requests.Session()
+            retry = Retry(total=3, backoff_factor=1, status_forcelist=[502, 503, 504])
+            adapter = HTTPAdapter(max_retries=retry)
+            session.mount("http://", adapter)
+            session.mount("https://", adapter)
+
+            total_size = 0
+            downloaded_size = 0
+
+            with session.get(url, allow_redirects=True, stream=True) as r:
+                r.raise_for_status()
+                total_size = int(r.headers.get("Content-Length", 0))
+                downloaded_size = 0
+
+                with open(safe_filename, "wb") as f:
+                    for chunk in r.iter_content(chunk_size=8192):
+                        f.write(chunk)
+                        downloaded_size += len(chunk)
+
+                        # Update the progress message
+                        progress = f"{readable_file_size(downloaded_size)} / {readable_file_size(total_size)}"
+                        spinner.update_message(f"{message} {progress}")
+
+            return f'Successfully downloaded and locally stored file: "{filename}"! (Size: {readable_file_size(total_size)})'
+    except requests.HTTPError as e:
+        return f"Got an HTTP Error whilst trying to download file: {e}"
+    except Exception as e:
+        return "Error: " + str(e)

autogpt/commands/git_operations.py

@@ -0,0 +1,26 @@
+"""Git operations for autogpt"""
+import git
+
+from autogpt.config import Config
+from autogpt.workspace import path_in_workspace
+
+CFG = Config()
+
+
+def clone_repository(repo_url: str, clone_path: str) -> str:
+    """Clone a GitHub repository locally
+
+    Args:
+        repo_url (str): The URL of the repository to clone
+        clone_path (str): The path to clone the repository to
+
+    Returns:
+        str: The result of the clone operation"""
+    split_url = repo_url.split("//")
+    auth_repo_url = f"//{CFG.github_username}:{CFG.github_api_key}@".join(split_url)
+    safe_clone_path = path_in_workspace(clone_path)
+    try:
+        git.Repo.clone_from(auth_repo_url, safe_clone_path)
+        return f"""Cloned {repo_url} to {safe_clone_path}"""
+    except Exception as e:
+        return f"Error: {str(e)}"

autogpt/commands/google_search.py

@@ -0,0 +1,87 @@
+"""Google search command for Autogpt."""
+from __future__ import annotations
+
+import json
+
+from duckduckgo_search import ddg
+
+from autogpt.config import Config
+
+CFG = Config()
+
+
+def google_search(query: str, num_results: int = 8) -> str:
+    """Return the results of a Google search
+
+    Args:
+        query (str): The search query.
+        num_results (int): The number of results to return.
+
+    Returns:
+        str: The results of the search.
+    """
+    search_results = []
+    if not query:
+        return json.dumps(search_results)
+
+    results = ddg(query, max_results=num_results)
+    if not results:
+        return json.dumps(search_results)
+
+    for j in results:
+        search_results.append(j)
+
+    return json.dumps(search_results, ensure_ascii=False, indent=4)
+
+
+def google_official_search(query: str, num_results: int = 8) -> str | list[str]:
+    """Return the results of a Google search using the official Google API
+
+    Args:
+        query (str): The search query.
+        num_results (int): The number of results to return.
+
+    Returns:
+        str: The results of the search.
+    """
+
+    from googleapiclient.discovery import build
+    from googleapiclient.errors import HttpError
+
+    try:
+        # Get the Google API key and Custom Search Engine ID from the config file
+        api_key = CFG.google_api_key
+        custom_search_engine_id = CFG.custom_search_engine_id
+
+        # Initialize the Custom Search API service
+        service = build("customsearch", "v1", developerKey=api_key)
+
+        # Send the search query and retrieve the results
+        result = (
+            service.cse()
+            .list(q=query, cx=custom_search_engine_id, num=num_results)
+            .execute()
+        )
+
+        # Extract the search result items from the response
+        search_results = result.get("items", [])
+
+        # Create a list of only the URLs from the search results
+        search_results_links = [item["link"] for item in search_results]
+
+    except HttpError as e:
+        # Handle errors in the API call
+        error_details = json.loads(e.content.decode())
+
+        # Check if the error is related to an invalid or missing API key
+        if error_details.get("error", {}).get(
+            "code"
+        ) == 403 and "invalid API key" in error_details.get("error", {}).get(
+            "message", ""
+        ):
+            return "Error: The provided Google API key is invalid or missing."
+        else:
+            return f"Error: {e}"
+
+    # Return the list of search result URLs
+    return search_results_links

autogpt/commands/image_gen.py

@@ -0,0 +1,163 @@
+""" Image Generation Module for AutoGPT."""
+import io
+import os.path
+import uuid
+from base64 import b64decode
+
+import openai
+import requests
+from PIL import Image
+
+from autogpt.config import Config
+from autogpt.workspace import path_in_workspace
+
+CFG = Config()
+
+
+def generate_image(prompt: str, size: int = 256) -> str:
+    """Generate an image from a prompt.
+
+    Args:
+        prompt (str): The prompt to use
+        size (int, optional): The size of the image. Defaults to 256. (Not supported by HuggingFace)
+
+    Returns:
+        str: The filename of the image
+    """
+    filename = f"{str(uuid.uuid4())}.jpg"
+
+    # DALL-E
+    if CFG.image_provider == "dalle":
+        return generate_image_with_dalle(prompt, filename, size)
+    # HuggingFace
+    elif CFG.image_provider == "huggingface":
+        return generate_image_with_hf(prompt, filename)
+    # SD WebUI
+    elif CFG.image_provider == "sdwebui":
+        return generate_image_with_sd_webui(prompt, filename, size)
+    return "No Image Provider Set"
+
+
+def generate_image_with_hf(prompt: str, filename: str) -> str:
+    """Generate an image with HuggingFace's API.
+
+    Args:
+        prompt (str): The prompt to use
+        filename (str): The filename to save the image to
+
+    Returns:
+        str: The filename of the image
+    """
+    API_URL = (
+        f"https://api-inference.huggingface.co/models/{CFG.huggingface_image_model}"
+    )
+    if CFG.huggingface_api_token is None:
+        raise ValueError(
+            "You need to set your Hugging Face API token in the config file."
+        )
+    headers = {
+        "Authorization": f"Bearer {CFG.huggingface_api_token}",
+        "X-Use-Cache": "false",
+    }
+
+    response = requests.post(
+        API_URL,
+        headers=headers,
+        json={
+            "inputs": prompt,
+        },
+    )
+
+    image = Image.open(io.BytesIO(response.content))
+    print(f"Image Generated for prompt:{prompt}")
+
+    image.save(path_in_workspace(filename))
+
+    return f"Saved to disk:{filename}"
+
+
+def generate_image_with_dalle(prompt: str, filename: str) -> str:
+    """Generate an image with DALL-E.
+
+    Args:
+        prompt (str): The prompt to use
+        filename (str): The filename to save the image to
+
+    Returns:
+        str: The filename of the image
+    """
+    openai.api_key = CFG.openai_api_key
+
+    # Check for supported image sizes
+    if size not in [256, 512, 1024]:
+        closest = min([256, 512, 1024], key=lambda x: abs(x - size))
+        print(
+            f"DALL-E only supports image sizes of 256x256, 512x512, or 1024x1024. Setting to {closest}, was {size}."
+        )
+        size = closest
+
+    response = openai.Image.create(
+        prompt=prompt,
+        n=1,
+        size=f"{size}x{size}",
+        response_format="b64_json",
+    )
+
+    print(f"Image Generated for prompt:{prompt}")
+
+    image_data = b64decode(response["data"][0]["b64_json"])
+
+    with open(path_in_workspace(filename), mode="wb") as png:
+        png.write(image_data)
+
+    return f"Saved to disk:{filename}"
+
+
+def generate_image_with_sd_webui(
+    prompt: str,
+    filename: str,
+    size: int = 512,
+    negative_prompt: str = "",
+    extra: dict = {},
+) -> str:
+    """Generate an image with Stable Diffusion webui.
+    Args:
+        prompt (str): The prompt to use
+        filename (str): The filename to save the image to
+        size (int, optional): The size of the image. Defaults to 256.
+        negative_prompt (str, optional): The negative prompt to use. Defaults to "".
+        extra (dict, optional): Extra parameters to pass to the API. Defaults to {}.
+    Returns:
+        str: The filename of the image
+    """
+    # Create a session and set the basic auth if needed
+    s = requests.Session()
+    if CFG.sd_webui_auth:
+        username, password = CFG.sd_webui_auth.split(":")
+        s.auth = (username, password or "")
+
+    # Generate the images
+    response = requests.post(
+        f"{CFG.sd_webui_url}/sdapi/v1/txt2img",
+        json={
+            "prompt": prompt,
+            "negative_prompt": negative_prompt,
+            "sampler_index": "DDIM",
+            "steps": 20,
+            "cfg_scale": 7.0,
+            "width": size,
+            "height": size,
+            "n_iter": 1,
+            **extra,
+        },
+    )
+
+    print(f"Image Generated for prompt:{prompt}")
+
+    # Save the image to disk
+    response = response.json()
+    b64 = b64decode(response["images"][0].split(",", 1)[0])
+    image = Image.open(io.BytesIO(b64))
+    image.save(path_in_workspace(filename))
+
+    return f"Saved to disk:{filename}"

autogpt/commands/improve_code.py

@@ -0,0 +1,29 @@
+from __future__ import annotations
+
+import json
+
+from autogpt.llm_utils import call_ai_function
+
+
+def improve_code(suggestions: list[str], code: str) -> str:
+    """
+    A function that takes in code and suggestions and returns a response from create
+      chat completion api call.
+
+    Parameters:
+        suggestions (List): A list of suggestions around what needs to be improved.
+        code (str): Code to be improved.
+    Returns:
+        A result string from create chat completion. Improved code in response.
+    """
+
+    function_string = (
+        "def generate_improved_code(suggestions: List[str], code: str) -> str:"
+    )
+    args = [json.dumps(suggestions), code]
+    description_string = (
+        "Improves the provided code based on the suggestions"
+        " provided, making no other changes."
+    )
+
+    return call_ai_function(function_string, args, description_string)

autogpt/commands/times.py

@@ -0,0 +1,10 @@
+from datetime import datetime
+
+
+def get_datetime() -> str:
+    """Return the current date and time
+
+    Returns:
+        str: The current date and time
+    """
+    return "Current date and time: " + datetime.now().strftime("%Y-%m-%d %H:%M:%S")

autogpt/commands/twitter.py

@@ -0,0 +1,26 @@
+import os
+
+import tweepy
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def send_tweet(tweet_text):
+    consumer_key = os.environ.get("TW_CONSUMER_KEY")
+    consumer_secret = os.environ.get("TW_CONSUMER_SECRET")
+    access_token = os.environ.get("TW_ACCESS_TOKEN")
+    access_token_secret = os.environ.get("TW_ACCESS_TOKEN_SECRET")
+    # Authenticate to Twitter
+    auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+    auth.set_access_token(access_token, access_token_secret)
+
+    # Create API object
+    api = tweepy.API(auth)
+
+    # Send tweet
+    try:
+        api.update_status(tweet_text)
+        print("Tweet sent successfully!")
+    except tweepy.TweepyException as e:
+        print("Error sending tweet: {}".format(e.reason))

autogpt/commands/web_playwright.py

@@ -0,0 +1,80 @@
+"""Web scraping commands using Playwright"""
+from __future__ import annotations
+
+try:
+    from playwright.sync_api import sync_playwright
+except ImportError:
+    print(
+        "Playwright not installed. Please install it with 'pip install playwright' to use."
+    )
+from bs4 import BeautifulSoup
+
+from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
+
+
+def scrape_text(url: str) -> str:
+    """Scrape text from a webpage
+
+    Args:
+        url (str): The URL to scrape text from
+
+    Returns:
+        str: The scraped text
+    """
+    with sync_playwright() as p:
+        browser = p.chromium.launch()
+        page = browser.new_page()
+
+        try:
+            page.goto(url)
+            html_content = page.content()
+            soup = BeautifulSoup(html_content, "html.parser")
+
+            for script in soup(["script", "style"]):
+                script.extract()
+
+            text = soup.get_text()
+            lines = (line.strip() for line in text.splitlines())
+            chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
+            text = "\n".join(chunk for chunk in chunks if chunk)
+
+        except Exception as e:
+            text = f"Error: {str(e)}"
+
+        finally:
+            browser.close()
+
+    return text
+
+
+def scrape_links(url: str) -> str | list[str]:
+    """Scrape links from a webpage
+
+    Args:
+        url (str): The URL to scrape links from
+
+    Returns:
+        Union[str, List[str]]: The scraped links
+    """
+    with sync_playwright() as p:
+        browser = p.chromium.launch()
+        page = browser.new_page()
+
+        try:
+            page.goto(url)
+            html_content = page.content()
+            soup = BeautifulSoup(html_content, "html.parser")
+
+            for script in soup(["script", "style"]):
+                script.extract()
+
+            hyperlinks = extract_hyperlinks(soup, url)
+            formatted_links = format_hyperlinks(hyperlinks)
+
+        except Exception as e:
+            formatted_links = f"Error: {str(e)}"
+
+        finally:
+            browser.close()
+
+    return formatted_links

autogpt/commands/web_requests.py

@@ -0,0 +1,190 @@
+"""Browse a webpage and summarize it using the LLM model"""
+from __future__ import annotations
+
+from urllib.parse import urljoin, urlparse
+
+import requests
+from bs4 import BeautifulSoup
+from requests import Response
+from requests.compat import urljoin
+
+from autogpt.config import Config
+from autogpt.memory import get_memory
+from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
+
+CFG = Config()
+memory = get_memory(CFG)
+
+session = requests.Session()
+session.headers.update({"User-Agent": CFG.user_agent})
+
+
+def is_valid_url(url: str) -> bool:
+    """Check if the URL is valid
+
+    Args:
+        url (str): The URL to check
+
+    Returns:
+        bool: True if the URL is valid, False otherwise
+    """
+    try:
+        result = urlparse(url)
+        return all([result.scheme, result.netloc])
+    except ValueError:
+        return False
+
+
+def sanitize_url(url: str) -> str:
+    """Sanitize the URL
+
+    Args:
+        url (str): The URL to sanitize
+
+    Returns:
+        str: The sanitized URL
+    """
+    return urljoin(url, urlparse(url).path)
+
+
+def check_local_file_access(url: str) -> bool:
+    """Check if the URL is a local file
+
+    Args:
+        url (str): The URL to check
+
+    Returns:
+        bool: True if the URL is a local file, False otherwise
+    """
+    local_prefixes = [
+        "file:///",
+        "file://localhost/",
+        "file://localhost",
+        "http://localhost",
+        "http://localhost/",
+        "https://localhost",
+        "https://localhost/",
+        "http://2130706433",
+        "http://2130706433/",
+        "https://2130706433",
+        "https://2130706433/",
+        "http://127.0.0.1/",
+        "http://127.0.0.1",
+        "https://127.0.0.1/",
+        "https://127.0.0.1",
+        "https://0.0.0.0/",
+        "https://0.0.0.0",
+        "http://0.0.0.0/",
+        "http://0.0.0.0",
+        "http://0000",
+        "http://0000/",
+        "https://0000",
+        "https://0000/",
+    ]
+    return any(url.startswith(prefix) for prefix in local_prefixes)
+
+
+def get_response(
+    url: str, timeout: int = 10
+) -> tuple[None, str] | tuple[Response, None]:
+    """Get the response from a URL
+
+    Args:
+        url (str): The URL to get the response from
+        timeout (int): The timeout for the HTTP request
+
+    Returns:
+        tuple[None, str] | tuple[Response, None]: The response and error message
+
+    Raises:
+        ValueError: If the URL is invalid
+        requests.exceptions.RequestException: If the HTTP request fails
+    """
+    try:
+        # Restrict access to local files
+        if check_local_file_access(url):
+            raise ValueError("Access to local files is restricted")
+
+        # Most basic check if the URL is valid:
+        if not url.startswith("http://") and not url.startswith("https://"):
+            raise ValueError("Invalid URL format")
+
+        sanitized_url = sanitize_url(url)
+
+        response = session.get(sanitized_url, timeout=timeout)
+
+        # Check if the response contains an HTTP error
+        if response.status_code >= 400:
+            return None, f"Error: HTTP {str(response.status_code)} error"
+
+        return response, None
+    except ValueError as ve:
+        # Handle invalid URL format
+        return None, f"Error: {str(ve)}"
+
+    except requests.exceptions.RequestException as re:
+        # Handle exceptions related to the HTTP request
+        #  (e.g., connection errors, timeouts, etc.)
+        return None, f"Error: {str(re)}"
+
+
+def scrape_text(url: str) -> str:
+    """Scrape text from a webpage
+
+    Args:
+        url (str): The URL to scrape text from
+
+    Returns:
+        str: The scraped text
+    """
+    response, error_message = get_response(url)
+    if error_message:
+        return error_message
+    if not response:
+        return "Error: Could not get response"
+
+    soup = BeautifulSoup(response.text, "html.parser")
+
+    for script in soup(["script", "style"]):
+        script.extract()
+
+    text = soup.get_text()
+    lines = (line.strip() for line in text.splitlines())
+    chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
+    text = "\n".join(chunk for chunk in chunks if chunk)
+
+    return text
+
+
+def scrape_links(url: str) -> str | list[str]:
+    """Scrape links from a webpage
+
+    Args:
+        url (str): The URL to scrape links from
+
+    Returns:
+       str | list[str]: The scraped links
+    """
+    response, error_message = get_response(url)
+    if error_message:
+        return error_message
+    if not response:
+        return "Error: Could not get response"
+    soup = BeautifulSoup(response.text, "html.parser")
+
+    for script in soup(["script", "style"]):
+        script.extract()
+
+    hyperlinks = extract_hyperlinks(soup, url)
+
+    return format_hyperlinks(hyperlinks)
+
+
+def create_message(chunk, question):
+    """Create a message for the user to summarize a chunk of text"""
+    return {
+        "role": "user",
+        "content": f'"""{chunk}""" Using the above text, answer the following'
+        f' question: "{question}" -- if the question cannot be answered using the'
+        " text, summarize the text.",
+    }

autogpt/commands/web_selenium.py

@@ -0,0 +1,154 @@
+"""Selenium web scraping module."""
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+from sys import platform
+
+from bs4 import BeautifulSoup
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options as ChromeOptions
+from selenium.webdriver.common.by import By
+from selenium.webdriver.firefox.options import Options as FirefoxOptions
+from selenium.webdriver.remote.webdriver import WebDriver
+from selenium.webdriver.safari.options import Options as SafariOptions
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.support.wait import WebDriverWait
+from webdriver_manager.chrome import ChromeDriverManager
+from webdriver_manager.firefox import GeckoDriverManager
+
+import autogpt.processing.text as summary
+from autogpt.config import Config
+from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
+
+FILE_DIR = Path(__file__).parent.parent
+CFG = Config()
+
+
+def browse_website(url: str, question: str) -> tuple[str, WebDriver]:
+    """Browse a website and return the answer and links to the user
+
+    Args:
+        url (str): The url of the website to browse
+        question (str): The question asked by the user
+
+    Returns:
+        Tuple[str, WebDriver]: The answer and links to the user and the webdriver
+    """
+    driver, text = scrape_text_with_selenium(url)
+    add_header(driver)
+    summary_text = summary.summarize_text(url, text, question, driver)
+    links = scrape_links_with_selenium(driver, url)
+
+    # Limit links to 5
+    if len(links) > 5:
+        links = links[:5]
+    close_browser(driver)
+    return f"Answer gathered from website: {summary_text} \n \n Links: {links}", driver
+
+
+def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
+    """Scrape text from a website using selenium
+
+    Args:
+        url (str): The url of the website to scrape
+
+    Returns:
+        Tuple[WebDriver, str]: The webdriver and the text scraped from the website
+    """
+    logging.getLogger("selenium").setLevel(logging.CRITICAL)
+
+    options_available = {
+        "chrome": ChromeOptions,
+        "safari": SafariOptions,
+        "firefox": FirefoxOptions,
+    }
+
+    options = options_available[CFG.selenium_web_browser]()
+    options.add_argument(
+        "user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.49 Safari/537.36"
+    )
+
+    if CFG.selenium_web_browser == "firefox":
+        driver = webdriver.Firefox(
+            executable_path=GeckoDriverManager().install(), options=options
+        )
+    elif CFG.selenium_web_browser == "safari":
+        # Requires a bit more setup on the users end
+        # See https://developer.apple.com/documentation/webkit/testing_with_webdriver_in_safari
+        driver = webdriver.Safari(options=options)
+    else:
+        if platform == "linux" or platform == "linux2":
+            options.add_argument("--disable-dev-shm-usage")
+            options.add_argument("--remote-debugging-port=9222")
+
+        options.add_argument("--no-sandbox")
+        if CFG.selenium_headless:
+            options.add_argument("--headless")
+            options.add_argument("--disable-gpu")
+
+        driver = webdriver.Chrome(
+            executable_path=ChromeDriverManager().install(), options=options
+        )
+    driver.get(url)
+
+    WebDriverWait(driver, 10).until(
+        EC.presence_of_element_located((By.TAG_NAME, "body"))
+    )
+
+    # Get the HTML content directly from the browser's DOM
+    page_source = driver.execute_script("return document.body.outerHTML;")
+    soup = BeautifulSoup(page_source, "html.parser")
+
+    for script in soup(["script", "style"]):
+        script.extract()
+
+    text = soup.get_text()
+    lines = (line.strip() for line in text.splitlines())
+    chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
+    text = "\n".join(chunk for chunk in chunks if chunk)
+    return driver, text
+
+
+def scrape_links_with_selenium(driver: WebDriver, url: str) -> list[str]:
+    """Scrape links from a website using selenium
+
+    Args:
+        driver (WebDriver): The webdriver to use to scrape the links
+
+    Returns:
+        List[str]: The links scraped from the website
+    """
+    page_source = driver.page_source
+    soup = BeautifulSoup(page_source, "html.parser")
+
+    for script in soup(["script", "style"]):
+        script.extract()
+
+    hyperlinks = extract_hyperlinks(soup, url)
+
+    return format_hyperlinks(hyperlinks)
+
+
+def close_browser(driver: WebDriver) -> None:
+    """Close the browser
+
+    Args:
+        driver (WebDriver): The webdriver to close
+
+    Returns:
+        None
+    """
+    driver.quit()
+
+
+def add_header(driver: WebDriver) -> None:
+    """Add a header to the website
+
+    Args:
+        driver (WebDriver): The webdriver to use to add the header
+
+    Returns:
+        None
+    """
+    driver.execute_script(open(f"{FILE_DIR}/js/overlay.js", "r").read())

autogpt/commands/write_tests.py

@@ -0,0 +1,31 @@
+"""A module that contains a function to generate test cases for the submitted code."""
+from __future__ import annotations
+
+import json
+
+from autogpt.llm_utils import call_ai_function
+
+
+def write_tests(code: str, focus: list[str]) -> str:
+    """
+    A function that takes in code and focus topics and returns a response from create
+      chat completion api call.
+
+    Parameters:
+        focus (list): A list of suggestions around what needs to be improved.
+        code (str): Code for test cases to be generated against.
+    Returns:
+        A result string from create chat completion. Test cases for the submitted code
+          in response.
+    """
+
+    function_string = (
+        "def create_test_cases(code: str, focus: Optional[str] = None) -> str:"
+    )
+    args = [code, json.dumps(focus)]
+    description_string = (
+        "Generates test cases for the existing code, focusing on"
+        " specific areas if required."
+    )
+
+    return call_ai_function(function_string, args, description_string)

autogpt/config/__init__.py

@@ -0,0 +1,14 @@
+"""
+This module contains the configuration classes for AutoGPT.
+"""
+from autogpt.config.ai_config import AIConfig
+from autogpt.config.config import Config, check_openai_api_key
+from autogpt.config.singleton import AbstractSingleton, Singleton
+
+__all__ = [
+    "check_openai_api_key",
+    "AbstractSingleton",
+    "AIConfig",
+    "Config",
+    "Singleton",
+]

autogpt/config/ai_config.py

@@ -0,0 +1,121 @@
+# sourcery skip: do-not-use-staticmethod
+"""
+A module that contains the AIConfig class object that contains the configuration
+"""
+from __future__ import annotations
+
+import os
+from typing import Type
+
+import yaml
+
+
+class AIConfig:
+    """
+    A class object that contains the configuration information for the AI
+
+    Attributes:
+        ai_name (str): The name of the AI.
+        ai_role (str): The description of the AI's role.
+        ai_goals (list): The list of objectives the AI is supposed to complete.
+    """
+
+    def __init__(
+        self, ai_name: str = "", ai_role: str = "", ai_goals: list | None = None
+    ) -> None:
+        """
+        Initialize a class instance
+
+        Parameters:
+            ai_name (str): The name of the AI.
+            ai_role (str): The description of the AI's role.
+            ai_goals (list): The list of objectives the AI is supposed to complete.
+        Returns:
+            None
+        """
+        if ai_goals is None:
+            ai_goals = []
+        self.ai_name = ai_name
+        self.ai_role = ai_role
+        self.ai_goals = ai_goals
+
+    # Soon this will go in a folder where it remembers more stuff about the run(s)
+    SAVE_FILE = os.path.join(os.path.dirname(__file__), "..", "ai_settings.yaml")
+
+    @staticmethod
+    def load(config_file: str = SAVE_FILE) -> "AIConfig":
+        """
+        Returns class object with parameters (ai_name, ai_role, ai_goals) loaded from
+          yaml file if yaml file exists,
+        else returns class with no parameters.
+
+        Parameters:
+           config_file (int): The path to the config yaml file.
+             DEFAULT: "../ai_settings.yaml"
+
+        Returns:
+            cls (object): An instance of given cls object
+        """
+
+        try:
+            with open(config_file, encoding="utf-8") as file:
+                config_params = yaml.load(file, Loader=yaml.FullLoader)
+        except FileNotFoundError:
+            config_params = {}
+
+        ai_name = config_params.get("ai_name", "")
+        ai_role = config_params.get("ai_role", "")
+        ai_goals = config_params.get("ai_goals", [])
+        # type: Type[AIConfig]
+        return AIConfig(ai_name, ai_role, ai_goals)
+
+    def save(self, config_file: str = SAVE_FILE) -> None:
+        """
+        Saves the class parameters to the specified file yaml file path as a yaml file.
+
+        Parameters:
+            config_file(str): The path to the config yaml file.
+              DEFAULT: "../ai_settings.yaml"
+
+        Returns:
+            None
+        """
+
+        config = {
+            "ai_name": self.ai_name,
+            "ai_role": self.ai_role,
+            "ai_goals": self.ai_goals,
+        }
+        with open(config_file, "w", encoding="utf-8") as file:
+            yaml.dump(config, file, allow_unicode=True)
+
+    def construct_full_prompt(self) -> str:
+        """
+        Returns a prompt to the user with the class information in an organized fashion.
+
+        Parameters:
+            None
+
+        Returns:
+            full_prompt (str): A string containing the initial prompt for the user
+              including the ai_name, ai_role and ai_goals.
+        """
+
+        prompt_start = (
+            "Your decisions must always be made independently without"
+            " seeking user assistance. Play to your strengths as an LLM and pursue"
+            " simple strategies with no legal complications."
+            ""
+        )
+
+        from autogpt.prompt import get_prompt
+
+        # Construct full prompt
+        full_prompt = (
+            f"You are {self.ai_name}, {self.ai_role}\n{prompt_start}\n\nGOALS:\n\n"
+        )
+        for i, goal in enumerate(self.ai_goals):
+            full_prompt += f"{i+1}. {goal}\n"
+
+        full_prompt += f"\n\n{get_prompt()}"
+        return full_prompt

autogpt/config/config.py

@@ -0,0 +1,251 @@
+"""Configuration class to store the state of bools for different scripts access."""
+import os
+
+import openai
+import yaml
+from colorama import Fore
+from dotenv import load_dotenv
+
+from autogpt.config.singleton import Singleton
+
+load_dotenv(verbose=True)
+
+
+class Config(metaclass=Singleton):
+    """
+    Configuration class to store the state of bools for different scripts access.
+    """
+
+    def __init__(self) -> None:
+        """Initialize the Config class"""
+        self.debug_mode = False
+        self.continuous_mode = False
+        self.continuous_limit = 0
+        self.speak_mode = False
+        self.skip_reprompt = False
+        self.allow_downloads = False
+        self.skip_news = False
+
+        self.ai_settings_file = os.getenv("AI_SETTINGS_FILE", "ai_settings.yaml")
+        self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo")
+        self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4")
+        self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000))
+        self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))
+        self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 8192))
+
+        self.openai_api_key = os.getenv("OPENAI_API_KEY")
+        self.temperature = float(os.getenv("TEMPERATURE", "1"))
+        self.use_azure = os.getenv("USE_AZURE") == "True"
+        self.execute_local_commands = (
+            os.getenv("EXECUTE_LOCAL_COMMANDS", "False") == "True"
+        )
+        self.restrict_to_workspace = (
+            os.getenv("RESTRICT_TO_WORKSPACE", "True") == "True"
+        )
+
+        if self.use_azure:
+            self.load_azure_config()
+            openai.api_type = self.openai_api_type
+            openai.api_base = self.openai_api_base
+            openai.api_version = self.openai_api_version
+
+        self.elevenlabs_api_key = os.getenv("ELEVENLABS_API_KEY")
+        self.elevenlabs_voice_1_id = os.getenv("ELEVENLABS_VOICE_1_ID")
+        self.elevenlabs_voice_2_id = os.getenv("ELEVENLABS_VOICE_2_ID")
+
+        self.use_mac_os_tts = False
+        self.use_mac_os_tts = os.getenv("USE_MAC_OS_TTS")
+
+        self.use_brian_tts = False
+        self.use_brian_tts = os.getenv("USE_BRIAN_TTS")
+
+        self.github_api_key = os.getenv("GITHUB_API_KEY")
+        self.github_username = os.getenv("GITHUB_USERNAME")
+
+        self.google_api_key = os.getenv("GOOGLE_API_KEY")
+        self.custom_search_engine_id = os.getenv("CUSTOM_SEARCH_ENGINE_ID")
+
+        self.pinecone_api_key = os.getenv("PINECONE_API_KEY")
+        self.pinecone_region = os.getenv("PINECONE_ENV")
+
+        self.weaviate_host = os.getenv("WEAVIATE_HOST")
+        self.weaviate_port = os.getenv("WEAVIATE_PORT")
+        self.weaviate_protocol = os.getenv("WEAVIATE_PROTOCOL", "http")
+        self.weaviate_username = os.getenv("WEAVIATE_USERNAME", None)
+        self.weaviate_password = os.getenv("WEAVIATE_PASSWORD", None)
+        self.weaviate_scopes = os.getenv("WEAVIATE_SCOPES", None)
+        self.weaviate_embedded_path = os.getenv("WEAVIATE_EMBEDDED_PATH")
+        self.weaviate_api_key = os.getenv("WEAVIATE_API_KEY", None)
+        self.use_weaviate_embedded = (
+            os.getenv("USE_WEAVIATE_EMBEDDED", "False") == "True"
+        )
+
+        # milvus configuration, e.g., localhost:19530.
+        self.milvus_addr = os.getenv("MILVUS_ADDR", "localhost:19530")
+        self.milvus_collection = os.getenv("MILVUS_COLLECTION", "autogpt")
+
+        self.image_provider = os.getenv("IMAGE_PROVIDER")
+        self.image_size = int(os.getenv("IMAGE_SIZE", 256))
+        self.huggingface_api_token = os.getenv("HUGGINGFACE_API_TOKEN")
+        self.huggingface_image_model = os.getenv(
+            "HUGGINGFACE_IMAGE_MODEL", "CompVis/stable-diffusion-v1-4"
+        )
+        self.huggingface_audio_to_text_model = os.getenv(
+            "HUGGINGFACE_AUDIO_TO_TEXT_MODEL"
+        )
+        self.sd_webui_url = os.getenv("SD_WEBUI_URL", "http://localhost:7860")
+        self.sd_webui_auth = os.getenv("SD_WEBUI_AUTH")
+
+        # Selenium browser settings
+        self.selenium_web_browser = os.getenv("USE_WEB_BROWSER", "chrome")
+        self.selenium_headless = os.getenv("HEADLESS_BROWSER", "True") == "True"
+
+        # User agent header to use when making HTTP requests
+        # Some websites might just completely deny request with an error code if
+        # no user agent was found.
+        self.user_agent = os.getenv(
+            "USER_AGENT",
+            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36"
+            " (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36",
+        )
+
+        self.redis_host = os.getenv("REDIS_HOST", "localhost")
+        self.redis_port = os.getenv("REDIS_PORT", "6379")
+        self.redis_password = os.getenv("REDIS_PASSWORD", "")
+        self.wipe_redis_on_start = os.getenv("WIPE_REDIS_ON_START", "True") == "True"
+        self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt")
+        # Note that indexes must be created on db 0 in redis, this is not configurable.
+
+        self.memory_backend = os.getenv("MEMORY_BACKEND", "local")
+        # Initialize the OpenAI API client
+        openai.api_key = self.openai_api_key
+
+    def get_azure_deployment_id_for_model(self, model: str) -> str:
+        """
+        Returns the relevant deployment id for the model specified.
+
+        Parameters:
+            model(str): The model to map to the deployment id.
+
+        Returns:
+            The matching deployment id if found, otherwise an empty string.
+        """
+        if model == self.fast_llm_model:
+            return self.azure_model_to_deployment_id_map[
+                "fast_llm_model_deployment_id"
+            ]  # type: ignore
+        elif model == self.smart_llm_model:
+            return self.azure_model_to_deployment_id_map[
+                "smart_llm_model_deployment_id"
+            ]  # type: ignore
+        elif model == "text-embedding-ada-002":
+            return self.azure_model_to_deployment_id_map[
+                "embedding_model_deployment_id"
+            ]  # type: ignore
+        else:
+            return ""
+
+    AZURE_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "..", "azure.yaml")
+
+    def load_azure_config(self, config_file: str = AZURE_CONFIG_FILE) -> None:
+        """
+        Loads the configuration parameters for Azure hosting from the specified file
+          path as a yaml file.
+
+        Parameters:
+            config_file(str): The path to the config yaml file. DEFAULT: "../azure.yaml"
+
+        Returns:
+            None
+        """
+        try:
+            with open(config_file) as file:
+                config_params = yaml.load(file, Loader=yaml.FullLoader)
+        except FileNotFoundError:
+            config_params = {}
+        self.openai_api_type = config_params.get("azure_api_type") or "azure"
+        self.openai_api_base = config_params.get("azure_api_base") or ""
+        self.openai_api_version = (
+            config_params.get("azure_api_version") or "2023-03-15-preview"
+        )
+        self.azure_model_to_deployment_id_map = config_params.get("azure_model_map", [])
+
+    def set_continuous_mode(self, value: bool) -> None:
+        """Set the continuous mode value."""
+        self.continuous_mode = value
+
+    def set_continuous_limit(self, value: int) -> None:
+        """Set the continuous limit value."""
+        self.continuous_limit = value
+
+    def set_speak_mode(self, value: bool) -> None:
+        """Set the speak mode value."""
+        self.speak_mode = value
+
+    def set_fast_llm_model(self, value: str) -> None:
+        """Set the fast LLM model value."""
+        self.fast_llm_model = value
+
+    def set_smart_llm_model(self, value: str) -> None:
+        """Set the smart LLM model value."""
+        self.smart_llm_model = value
+
+    def set_fast_token_limit(self, value: int) -> None:
+        """Set the fast token limit value."""
+        self.fast_token_limit = value
+
+    def set_smart_token_limit(self, value: int) -> None:
+        """Set the smart token limit value."""
+        self.smart_token_limit = value
+
+    def set_browse_chunk_max_length(self, value: int) -> None:
+        """Set the browse_website command chunk max length value."""
+        self.browse_chunk_max_length = value
+
+    def set_openai_api_key(self, value: str) -> None:
+        """Set the OpenAI API key value."""
+        self.openai_api_key = value
+
+    def set_elevenlabs_api_key(self, value: str) -> None:
+        """Set the ElevenLabs API key value."""
+        self.elevenlabs_api_key = value
+
+    def set_elevenlabs_voice_1_id(self, value: str) -> None:
+        """Set the ElevenLabs Voice 1 ID value."""
+        self.elevenlabs_voice_1_id = value
+
+    def set_elevenlabs_voice_2_id(self, value: str) -> None:
+        """Set the ElevenLabs Voice 2 ID value."""
+        self.elevenlabs_voice_2_id = value
+
+    def set_google_api_key(self, value: str) -> None:
+        """Set the Google API key value."""
+        self.google_api_key = value
+
+    def set_custom_search_engine_id(self, value: str) -> None:
+        """Set the custom search engine id value."""
+        self.custom_search_engine_id = value
+
+    def set_pinecone_api_key(self, value: str) -> None:
+        """Set the Pinecone API key value."""
+        self.pinecone_api_key = value
+
+    def set_pinecone_region(self, value: str) -> None:
+        """Set the Pinecone region value."""
+        self.pinecone_region = value
+
+    def set_debug_mode(self, value: bool) -> None:
+        """Set the debug mode value."""
+        self.debug_mode = value
+
+
+def check_openai_api_key() -> None:
+    """Check if the OpenAI API key is set in config.py or as an environment variable."""
+    cfg = Config()
+    if not cfg.openai_api_key:
+        print(
+            Fore.RED
+            + "Please set your OpenAI API key in .env or as an environment variable."
+        )
+        print("You can get your key from https://platform.openai.com/account/api-keys")
+        exit(1)