Release v0.4.7 (#5094)

.coveragerc

@@ -1,2 +1,2 @@
-[run]
+[run]
 relative_files = true

.deepsource.toml

@@ -1,18 +0,0 @@
-version = 1
-
-test_patterns = ["**/*.spec.ts","**/*_test.py","**/*_tests.py","**/test_*.py"]
-
-exclude_patterns = ["classic/**"]
-
-[[analyzers]]
-name = "javascript"
-
-[analyzers.meta]
-plugins = ["react"]
-environment = ["nodejs"]
-
-[[analyzers]]
-name = "python"
-
-[analyzers.meta]
-runtime_version = "3.x.x"

.devcontainer/Dockerfile

@@ -10,4 +10,4 @@ RUN apt-get update && apt-get install -y \
 RUN apt-get install -y curl jq wget git
 
 # Declare working directory
-WORKDIR /workspace/AutoGPT
+WORKDIR /workspace/Auto-GPT

.devcontainer/devcontainer.json

@@ -1,7 +1,7 @@
 {
   "dockerComposeFile": "./docker-compose.yml",
   "service": "auto-gpt",
-  "workspaceFolder": "/workspace/AutoGPT",
+  "workspaceFolder": "/workspace/Auto-GPT",
   "shutdownAction": "stopCompose",
   "features": {
     "ghcr.io/devcontainers/features/common-utils:2": {
@@ -46,11 +46,11 @@
   // "forwardPorts": [],
 
   // Use 'postCreateCommand' to run commands after the container is created.
-  // "postCreateCommand": "poetry install",
+  // "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",
 
   // Add the freshly containerized repo to the list of safe repositories
-  "postCreateCommand": "git config --global --add safe.directory /workspace/AutoGPT && poetry install"
-}
+  "postCreateCommand": "git config --global --add safe.directory /workspace/Auto-GPT && pip3 install --user -r requirements.txt"
+}

.devcontainer/docker-compose.yml

@@ -1,5 +1,5 @@
 # To boot the app run the following:
-# docker compose run auto-gpt
+# docker-compose run auto-gpt
 version: '3.9'
 
 services:
@@ -9,4 +9,4 @@ services:
       context: ../
     tty: true
     volumes:
-      - ../:/workspace/AutoGPT
+      - ../:/workspace/Auto-GPT

.dockerignore

@@ -1,65 +1,9 @@
-# Ignore everything by default, selectively add things to context
-*
-
-# Platform - Libs
-!autogpt_platform/autogpt_libs/autogpt_libs/
-!autogpt_platform/autogpt_libs/pyproject.toml
-!autogpt_platform/autogpt_libs/poetry.lock
-!autogpt_platform/autogpt_libs/README.md
-
-# Platform - Backend
-!autogpt_platform/backend/backend/
-!autogpt_platform/backend/test/e2e_test_data.py
-!autogpt_platform/backend/migrations/
-!autogpt_platform/backend/schema.prisma
-!autogpt_platform/backend/pyproject.toml
-!autogpt_platform/backend/poetry.lock
-!autogpt_platform/backend/README.md
-!autogpt_platform/backend/.env
-
-# Platform - Market
-!autogpt_platform/market/market/
-!autogpt_platform/market/scripts.py
-!autogpt_platform/market/schema.prisma
-!autogpt_platform/market/pyproject.toml
-!autogpt_platform/market/poetry.lock
-!autogpt_platform/market/README.md
-
-# Platform - Frontend
-!autogpt_platform/frontend/src/
-!autogpt_platform/frontend/public/
-!autogpt_platform/frontend/scripts/
-!autogpt_platform/frontend/package.json
-!autogpt_platform/frontend/pnpm-lock.yaml
-!autogpt_platform/frontend/tsconfig.json
-!autogpt_platform/frontend/README.md
-## config
-!autogpt_platform/frontend/*.config.*
-!autogpt_platform/frontend/.env.*
-!autogpt_platform/frontend/.env
-
-# Classic - AutoGPT
-!classic/original_autogpt/autogpt/
-!classic/original_autogpt/pyproject.toml
-!classic/original_autogpt/poetry.lock
-!classic/original_autogpt/README.md
-!classic/original_autogpt/tests/
-
-# Classic - Benchmark
-!classic/benchmark/agbenchmark/
-!classic/benchmark/pyproject.toml
-!classic/benchmark/poetry.lock
-!classic/benchmark/README.md
-
-# Classic - Forge
-!classic/forge/
-!classic/forge/pyproject.toml
-!classic/forge/poetry.lock
-!classic/forge/README.md
-
-# Classic - Frontend
-!classic/frontend/build/web/
-
-# Explicitly re-ignore some folders
 .*
-**/__pycache__
+*.template
+*.yaml
+*.yml
+!prompt_settings.yaml
+
+*.md
+*.png
+!BULLETIN.md

.env.template

@@ -0,0 +1,212 @@
+# For further descriptions of these settings see docs/configuration/options.md or go to docs.agpt.co
+
+################################################################################
+### AUTO-GPT - GENERAL SETTINGS
+################################################################################
+
+## OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
+OPENAI_API_KEY=your-openai-api-key
+
+## EXECUTE_LOCAL_COMMANDS - Allow local command execution (Default: False)
+# EXECUTE_LOCAL_COMMANDS=False
+
+## RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True)
+# RESTRICT_TO_WORKSPACE=True
+
+## 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, relative to the Auto-GPT root directory. (defaults to ai_settings.yaml)
+# AI_SETTINGS_FILE=ai_settings.yaml
+
+## PLUGINS_CONFIG_FILE - The path to the plugins_config.yaml file, relative to the Auto-GPT root directory. (Default plugins_config.yaml)
+# PLUGINS_CONFIG_FILE=plugins_config.yaml
+
+## PROMPT_SETTINGS_FILE - Specifies which Prompt Settings file to use, relative to the Auto-GPT root directory. (defaults to prompt_settings.yaml)
+# PROMPT_SETTINGS_FILE=prompt_settings.yaml
+
+## OPENAI_API_BASE_URL - Custom url for the OpenAI API, useful for connecting to custom backends. No effect if USE_AZURE is true, leave blank to keep the default url
+# the following is an example:
+# OPENAI_API_BASE_URL=http://localhost:443/v1
+
+## OPENAI_FUNCTIONS - Enables OpenAI functions: https://platform.openai.com/docs/guides/gpt/function-calling
+## WARNING: this feature is only supported by OpenAI's newest models. Until these models become the default on 27 June, add a '-0613' suffix to the model of your choosing.
+# OPENAI_FUNCTIONS=False
+
+## AUTHORISE COMMAND KEY - Key to authorise commands
+# AUTHORISE_COMMAND_KEY=y
+
+## EXIT_KEY - Key to exit AUTO-GPT
+# EXIT_KEY=n
+
+## PLAIN_OUTPUT - Plain output, which disables the spinner (Default: False)
+# PLAIN_OUTPUT=False
+
+## DISABLED_COMMAND_CATEGORIES - The list of categories of commands that are disabled (Default: None)
+# DISABLED_COMMAND_CATEGORIES=
+
+################################################################################
+### LLM PROVIDER
+################################################################################
+
+## TEMPERATURE - Sets temperature in OpenAI (Default: 0)
+# TEMPERATURE=0
+
+## OPENAI_ORGANIZATION - Your OpenAI Organization key (Default: None)
+# OPENAI_ORGANIZATION=
+
+## USE_AZURE - Use Azure OpenAI or not (Default: False)
+# USE_AZURE=False
+
+## AZURE_CONFIG_FILE - The path to the azure.yaml file, relative to the Auto-GPT root directory. (Default: azure.yaml)
+# AZURE_CONFIG_FILE=azure.yaml
+
+
+################################################################################
+### LLM MODELS
+################################################################################
+
+## SMART_LLM - Smart language model (Default: gpt-4)
+# SMART_LLM=gpt-4
+
+## FAST_LLM - Fast language model (Default: gpt-3.5-turbo)
+# FAST_LLM=gpt-3.5-turbo
+
+## EMBEDDING_MODEL - Model to use for creating embeddings
+# EMBEDDING_MODEL=text-embedding-ada-002
+
+################################################################################
+### SHELL EXECUTION
+################################################################################
+
+## SHELL_COMMAND_CONTROL - Whether to use "allowlist" or "denylist" to determine what shell commands can be executed (Default: denylist)
+# SHELL_COMMAND_CONTROL=denylist
+
+## ONLY if SHELL_COMMAND_CONTROL is set to denylist:
+## SHELL_DENYLIST - List of shell commands that ARE NOT allowed to be executed by Auto-GPT (Default: sudo,su)
+# SHELL_DENYLIST=sudo,su
+
+## ONLY if SHELL_COMMAND_CONTROL is set to allowlist:
+## SHELL_ALLOWLIST - List of shell commands that ARE allowed to be executed by Auto-GPT (Default: None)
+# SHELL_ALLOWLIST=
+
+################################################################################
+### MEMORY
+################################################################################
+
+### General
+
+## MEMORY_BACKEND - Memory backend type
+# MEMORY_BACKEND=json_file
+
+## MEMORY_INDEX - Value used in the Memory backend for scoping, naming, or indexing (Default: auto-gpt)
+# MEMORY_INDEX=auto-gpt
+
+### Redis
+
+## REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose)
+# REDIS_HOST=localhost
+
+## REDIS_PORT - Redis port (Default: 6379)
+# REDIS_PORT=6379
+
+## REDIS_PASSWORD - Redis password (Default: "")
+# REDIS_PASSWORD=
+
+## WIPE_REDIS_ON_START - Wipes data / index on start (Default: True)
+# WIPE_REDIS_ON_START=True
+
+################################################################################
+### IMAGE GENERATION PROVIDER
+################################################################################
+
+### Common
+
+## IMAGE_PROVIDER - Image provider (Default: dalle)
+# IMAGE_PROVIDER=dalle
+
+## IMAGE_SIZE - Image size (Default: 256)
+# IMAGE_SIZE=256
+
+### Huggingface (IMAGE_PROVIDER=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 (Default: None)
+# HUGGINGFACE_API_TOKEN=
+
+### Stable Diffusion (IMAGE_PROVIDER=sdwebui)
+
+## SD_WEBUI_AUTH - Stable Diffusion Web UI username:password pair (Default: None)
+# SD_WEBUI_AUTH=
+
+## SD_WEBUI_URL - Stable Diffusion Web UI API URL (Default: http://localhost:7860)
+# SD_WEBUI_URL=http://localhost:7860
+
+################################################################################
+### AUDIO TO TEXT PROVIDER
+################################################################################
+
+## AUDIO_TO_TEXT_PROVIDER - Audio-to-text provider (Default: huggingface)
+# AUDIO_TO_TEXT_PROVIDER=huggingface
+
+## HUGGINGFACE_AUDIO_TO_TEXT_MODEL - The model for HuggingFace to use (Default: CompVis/stable-diffusion-v1-4)
+# HUGGINGFACE_AUDIO_TO_TEXT_MODEL=CompVis/stable-diffusion-v1-4
+
+################################################################################
+### GITHUB
+################################################################################
+
+## GITHUB_API_KEY - Github API key / PAT (Default: None)
+# GITHUB_API_KEY=
+
+## GITHUB_USERNAME - Github username (Default: None)
+# GITHUB_USERNAME=
+
+################################################################################
+### WEB BROWSING
+################################################################################
+
+## HEADLESS_BROWSER - Whether to run the browser in headless mode (default: True)
+# HEADLESS_BROWSER=True
+
+## USE_WEB_BROWSER - Sets the web-browser driver to use with selenium (default: chrome)
+# USE_WEB_BROWSER=chrome
+
+## BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunks to summarize (Default: 3000)
+# BROWSE_CHUNK_MAX_LENGTH=3000
+
+## BROWSE_SPACY_LANGUAGE_MODEL - spaCy language model](https://spacy.io/usage/models) to use when creating chunks. (Default: en_core_web_sm)
+# BROWSE_SPACY_LANGUAGE_MODEL=en_core_web_sm
+
+## GOOGLE_API_KEY - Google API key (Default: None)
+# GOOGLE_API_KEY=
+
+## GOOGLE_CUSTOM_SEARCH_ENGINE_ID - Google custom search engine ID (Default: None)
+# GOOGLE_CUSTOM_SEARCH_ENGINE_ID=
+
+################################################################################
+### TEXT TO SPEECH PROVIDER
+################################################################################
+
+## TEXT_TO_SPEECH_PROVIDER - Which Text to Speech provider to use (Default: gtts)
+# TEXT_TO_SPEECH_PROVIDER=gtts
+
+### Only if TEXT_TO_SPEECH_PROVIDER=streamelements
+## STREAMELEMENTS_VOICE - Voice to use for StreamElements (Default: Brian)
+# STREAMELEMENTS_VOICE=Brian
+
+### Only if TEXT_TO_SPEECH_PROVIDER=elevenlabs
+## ELEVENLABS_API_KEY - Eleven Labs API key (Default: None)
+# ELEVENLABS_API_KEY=
+
+## ELEVENLABS_VOICE_ID - Eleven Labs voice ID (Example: None)
+# ELEVENLABS_VOICE_ID=
+
+################################################################################
+### CHAT MESSAGES
+################################################################################
+
+## CHAT_MESSAGES_ENABLED - Enable chat messages (Default: False)
+# CHAT_MESSAGES_ENABLED=False

.envrc

@@ -1,4 +1,4 @@
 # 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 AutoGPT.
+# 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

@@ -1,5 +1,6 @@
 [flake8]
 max-line-length = 88
+select = "E303, W293, W291, W292, E305, E231, E302"
 exclude =
     .tox,
     __pycache__,
@@ -9,4 +10,3 @@ exclude =
     .venv/*,
     reports/*,
     dist/*,
-    data/*,

.gitattributes

@@ -1,10 +1,5 @@
-classic/frontend/build/** linguist-generated
-
-**/poetry.lock linguist-generated
-
-docs/_javascript/** linguist-vendored
-
 # Exclude VCR cassettes from stats
-classic/forge/tests/vcr_cassettes/**/**.y*ml linguist-generated
+tests/Auto-GPT-test-cassettes/**/**.y*ml linguist-generated
 
-* text=auto
+# Mark documentation as such
+docs/**.md linguist-documentation

.github/CODEOWNERS

@@ -1,7 +1,2 @@
-* @Significant-Gravitas/maintainers
-.github/workflows/ @Significant-Gravitas/devops
-classic/forge/ @Significant-Gravitas/forge-maintainers
-classic/benchmark/ @Significant-Gravitas/benchmark-maintainers
-classic/frontend/ @Significant-Gravitas/frontend-maintainers
-autogpt_platform/infra @Significant-Gravitas/devops
-.github/CODEOWNERS @Significant-Gravitas/admins
+.github/workflows/ @Significant-Gravitas/maintainers
+autogpt/core @collijk

.github/FUNDING.yml

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

.github/ISSUE_TEMPLATE/1.bug.yml

@@ -1,5 +1,5 @@
 name: Bug report 🐛
-description: Create a bug report for AutoGPT.
+description: Create a bug report for Auto-GPT.
 labels: ['status: needs triage']
 body:
   - type: markdown
@@ -13,16 +13,16 @@ body:
         [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/AutoGPT/discussions
+        [discussions]: https://github.com/Significant-Gravitas/Auto-GPT/discussions
         [#tech-support]: https://discord.com/channels/1092243196446249134/1092275629602394184
-        [existing issues]: https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue
-        [wiki page on Contributing]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
+        [existing issues]: https://github.com/Significant-Gravitas/Auto-GPT/issues?q=is%3Aissue
+        [wiki page on Contributing]: https://github.com/Significant-Gravitas/Nexus/wiki/Contributing
 
   - type: checkboxes
     attributes:
       label: ⚠️ Search for existing issues first ⚠️
       description: >
-        Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues)
+        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
@@ -35,8 +35,8 @@ body:
         A good rule of thumb: What would you type if you were searching for the issue?
         
         For example:
-        BAD - my AutoGPT keeps looping
-        GOOD - After performing execute_python_file, AutoGPT goes into a loop where it keeps trying to execute the file.
+        BAD - my auto-gpt keeps looping
+        GOOD - After performing execute_python_file, auto-gpt goes into a loop where it keeps trying to execute the file.
         
         ⚠️ SUPER-busy repo, please help the volunteer maintainers.
         The less time we spend here, the more time we can spend building AutoGPT.
@@ -54,7 +54,7 @@ body:
     attributes:
       label: Which Operating System are you using?
       description: >
-        Please select the operating system you were using to run AutoGPT when this problem occurred.
+        Please select the operating system you were using to run Auto-GPT when this problem occurred.
       options:
         - Windows
         - Linux
@@ -73,12 +73,12 @@ body:
 
   - type: dropdown
     attributes:
-      label: Which version of AutoGPT are you using?
+      label: Which version of Auto-GPT are you using?
       description: |
-        Please select which version of AutoGPT you were using when this issue occurred.
-        If you downloaded the code from the [releases page](https://github.com/Significant-Gravitas/AutoGPT/releases/) make sure you were using the latest code. 
-        **If you weren't please try with the [latest code](https://github.com/Significant-Gravitas/AutoGPT/releases/)**.
-        If installed with git you can run `git branch` to see which version of AutoGPT you are running.
+        Please select which version of Auto-GPT you were using when this issue occurred.
+        If you downloaded the code from the [releases page](https://github.com/Significant-Gravitas/Auto-GPT/releases/) make sure you were using the latest code. 
+        **If you weren't please try with the [latest code](https://github.com/Significant-Gravitas/Auto-GPT/releases/)**.
+        If installed with git you can run `git branch` to see which version of Auto-GPT you are running.
       options:
         - Latest Release
         - Stable (branch)
@@ -88,16 +88,14 @@ body:
 
   - type: dropdown
     attributes:
-      label: What LLM Provider do you use?
+      label: Do you use OpenAI GPT-3 or GPT-4?
       description: >
-        If you are using AutoGPT with `SMART_LLM=gpt-3.5-turbo`, your problems may be caused by
-        the [limitations](https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue+label%3A%22AI+model+limitation%22) of GPT-3.5.
+        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:
-        - Azure
-        - Groq
-        - Anthropic
-        - Llamafile
-        - Other (detail in issue)
+        - GPT-3.5
+        - GPT-4
+        - GPT-4(32k)
     validations:
       required: true
 
@@ -128,17 +126,10 @@ body:
             label: Specify the area
             description: Please specify the area you think is best related to the issue.
 
-  - type: input
-    attributes:
-      label: What commit or version are you using?
-      description: It is helpful for us to reproduce to know what version of the software you were using when this happened. Please run `git log -n 1 --pretty=format:"%H"` to output the full commit hash.
-    validations:
-      required: true
-
   - type: textarea
     attributes:
       label: Describe your issue.
-      description: Describe the problem you are experiencing. Try to describe only the issue and phrase it short but clear. ⚠️ Provide NO other data in this field
+      description: Describe the problem you are experiencing. Try to describe only the issue and phrase it short but clear. ⚠️ Provide NO other data in this field  
     validations:
       required: true
 
@@ -148,16 +139,16 @@ body:
       value: |
         ⚠️The following is OPTIONAL, please keep in mind that the log files may contain personal information such as credentials.⚠️
         
-        "The log files are located in the folder 'logs' inside the main AutoGPT folder."
+        "The log files are located in the folder 'logs' inside the main auto-gpt folder."
 
   - type: textarea
     attributes:
       label: Upload Activity Log Content
       description: |
         Upload the activity log content, this can help us understand the issue better. 
-        To do this, go to the folder logs in your main AutoGPT folder, open activity.log and copy/paste the contents to this field. 
-        ⚠️ The activity log may contain personal data given to AutoGPT by you in prompt or input as well as 
-        any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
+        To do this, go to the folder logs in your main auto-gpt folder, open activity.log and copy/paste the contents to this field. 
+        ⚠️ The activity log may contain personal data given to auto-gpt by you in prompt or input as well as 
+        any personal information that auto-gpt collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
     validations:
       required: false
 
@@ -166,8 +157,8 @@ body:
       label: Upload Error Log Content
       description: |
         Upload the error log content, this will help us understand the issue better. 
-        To do this, go to the folder logs in your main AutoGPT folder, open error.log and copy/paste the contents to this field. 
-        ⚠️ The error log may contain personal data given to AutoGPT by you in prompt or input as well as 
-        any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
+        To do this, go to the folder logs in your main auto-gpt folder, open error.log and copy/paste the contents to this field. 
+        ⚠️ The error log may contain personal data given to auto-gpt by you in prompt or input as well as 
+        any personal information that auto-gpt collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
     validations:
       required: false

.github/ISSUE_TEMPLATE/2.feature.yml

@@ -1,16 +1,16 @@
 name: Feature request 🚀
-description: Suggest a new idea for AutoGPT!
+description: Suggest a new idea for Auto-GPT!
 labels: ['status: needs triage']
 body:
   - type: markdown
     attributes:
       value: |
-        First, check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing)
+        First, check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/Nexus/wiki/Contributing)
         Please provide a searchable summary of the issue in the title above ⬆️.
   - type: checkboxes
     attributes:
       label: Duplicates
-      description: Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues) to see if an issue already exists for the same problem.
+      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

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,39 +1,49 @@
-<!-- Clearly explain the need for these changes: -->
+<!-- ⚠️ 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
+-->
 
-### Changes 🏗️
+<!-- 📢 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:
 
-<!-- Concisely describe all of the changes made in this pull request: -->
+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
 
-### Checklist 📋
+Check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/Nexus/wiki/Contributing)
 
-#### For code changes:
-- [ ] I have clearly listed my changes in the PR description
-- [ ] I have made a test plan
-- [ ] I have tested my changes according to the test plan:
-  <!-- Put your test plan here: -->
-  - [ ] ...
+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. -->
 
-<details>
-  <summary>Example test plan</summary>
-  
-  - [ ] Create from scratch and execute an agent with at least 3 blocks
-  - [ ] Import an agent from file upload, and confirm it executes correctly
-  - [ ] Upload agent to marketplace
-  - [ ] Import an agent from marketplace and confirm it executes correctly
-  - [ ] Edit an agent from monitor, and confirm it executes correctly
-</details>
+### 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. -->
 
-#### For configuration changes:
+### Changes
+<!-- Describe the specific, focused change made in this pull request. Detail the modifications clearly and avoid any unrelated or "extra" changes. -->
 
-- [ ] `.env.default` is updated or already compatible with my changes
-- [ ] `docker-compose.yml` is updated or already compatible with my changes
-- [ ] I have included a list of my configuration changes in the PR description (under **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. -->
 
-<details>
-  <summary>Examples of configuration changes</summary>
+### Test Plan
+<!-- Describe how you tested this functionality. Include steps to reproduce, relevant test cases, and any other pertinent information. -->
 
-  - Changing ports
-  - Adding new services that need to communicate with each other
-  - Secrets or environment variable changes
-  - New or infrastructure changes such as databases
-</details>
+### 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! -->
+- [ ] I have run the following commands against my code to ensure it passes our linters:
+    ```shell
+    black .
+    isort .
+    mypy
+    autoflake --remove-all-unused-imports --recursive --ignore-init-module-imports --ignore-pass-after-docstring autogpt tests --in-place
+    ```
+
+<!-- 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/copilot-instructions.md

@@ -1,322 +0,0 @@
-# GitHub Copilot Instructions for AutoGPT
-
-This file provides comprehensive onboarding information for GitHub Copilot coding agent to work efficiently with the AutoGPT repository.
-
-## Repository Overview
-
-**AutoGPT** is a powerful platform for creating, deploying, and managing continuous AI agents that automate complex workflows. This is a large monorepo (~150MB) containing multiple components:
-
-- **AutoGPT Platform** (`autogpt_platform/`) - Main focus: Modern AI agent platform (Polyform Shield License)
-- **Classic AutoGPT** (`classic/`) - Legacy agent system (MIT License)
-- **Documentation** (`docs/`) - MkDocs-based documentation site
-- **Infrastructure** - Docker configurations, CI/CD, and development tools
-
-**Primary Languages & Frameworks:**
-
-- **Backend**: Python 3.10-3.13, FastAPI, Prisma ORM, PostgreSQL, RabbitMQ
-- **Frontend**: TypeScript, Next.js 15, React, Tailwind CSS, Radix UI
-- **Development**: Docker, Poetry, pnpm, Playwright, Storybook
-
-## Build and Validation Instructions
-
-### Essential Setup Commands
-
-**Always run these commands in the correct directory and in this order:**
-
-1. **Initial Setup** (required once):
-
-   ```bash
-   # Clone and enter repository
-   git clone <repo> && cd AutoGPT
-
-   # Start all services (database, redis, rabbitmq, clamav)
-   cd autogpt_platform && docker compose --profile local up deps --build --detach
-   ```
-
-2. **Backend Setup** (always run before backend development):
-
-   ```bash
-   cd autogpt_platform/backend
-   poetry install                    # Install dependencies
-   poetry run prisma migrate dev     # Run database migrations
-   poetry run prisma generate        # Generate Prisma client
-   ```
-
-3. **Frontend Setup** (always run before frontend development):
-   ```bash
-   cd autogpt_platform/frontend
-   pnpm install                      # Install dependencies
-   ```
-
-### Runtime Requirements
-
-**Critical:** Always ensure Docker services are running before starting development:
-
-```bash
-cd autogpt_platform && docker compose --profile local up deps --build --detach
-```
-
-**Python Version:** Use Python 3.11 (required; managed by Poetry via pyproject.toml)
-**Node.js Version:** Use Node.js 21+ with pnpm package manager
-
-### Development Commands
-
-**Backend Development:**
-
-```bash
-cd autogpt_platform/backend
-poetry run serve                     # Start development server (port 8000)
-poetry run test                      # Run all tests (requires ~5 minutes)
-poetry run pytest path/to/test.py    # Run specific test
-poetry run format                    # Format code (Black + isort) - always run first
-poetry run lint                      # Lint code (ruff) - run after format
-```
-
-**Frontend Development:**
-
-```bash
-cd autogpt_platform/frontend
-pnpm dev                            # Start development server (port 3000) - use for active development
-pnpm build                          # Build for production (only needed for E2E tests or deployment)
-pnpm test                           # Run Playwright E2E tests (requires build first)
-pnpm test-ui                        # Run tests with UI
-pnpm format                         # Format and lint code
-pnpm storybook                      # Start component development server
-```
-
-### Testing Strategy
-
-**Backend Tests:**
-
-- **Block Tests**: `poetry run pytest backend/blocks/test/test_block.py -xvs` (validates all blocks)
-- **Specific Block**: `poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[BlockName]' -xvs`
-- **Snapshot Tests**: Use `--snapshot-update` when output changes, always review with `git diff`
-
-**Frontend Tests:**
-
-- **E2E Tests**: Always run `pnpm dev` before `pnpm test` (Playwright requires running instance)
-- **Component Tests**: Use Storybook for isolated component development
-
-### Critical Validation Steps
-
-**Before committing changes:**
-
-1. Run `poetry run format` (backend) and `pnpm format` (frontend)
-2. Ensure all tests pass in modified areas
-3. Verify Docker services are still running
-4. Check that database migrations apply cleanly
-
-**Common Issues & Workarounds:**
-
-- **Prisma issues**: Run `poetry run prisma generate` after schema changes
-- **Permission errors**: Ensure Docker has proper permissions
-- **Port conflicts**: Check the `docker-compose.yml` file for the current list of exposed ports. You can list all mapped ports with:
-- **Test timeouts**: Backend tests can take 5+ minutes, use `-x` flag to stop on first failure
-
-## Project Layout & Architecture
-
-### Core Architecture
-
-**AutoGPT Platform** (`autogpt_platform/`):
-
-- `backend/` - FastAPI server with async support
-  - `backend/backend/` - Core API logic
-  - `backend/blocks/` - Agent execution blocks
-  - `backend/data/` - Database models and schemas
-  - `schema.prisma` - Database schema definition
-- `frontend/` - Next.js application
-  - `src/app/` - App Router pages and layouts
-  - `src/components/` - Reusable React components
-  - `src/lib/` - Utilities and configurations
-- `autogpt_libs/` - Shared Python utilities
-- `docker-compose.yml` - Development stack orchestration
-
-**Key Configuration Files:**
-
-- `pyproject.toml` - Python dependencies and tooling
-- `package.json` - Node.js dependencies and scripts
-- `schema.prisma` - Database schema and migrations
-- `next.config.mjs` - Next.js configuration
-- `tailwind.config.ts` - Styling configuration
-
-### Security & Middleware
-
-**Cache Protection**: Backend includes middleware preventing sensitive data caching in browsers/proxies
-**Authentication**: JWT-based with Supabase integration
-**User ID Validation**: All data access requires user ID checks - verify this for any `data/*.py` changes
-
-### Development Workflow
-
-**GitHub Actions**: Multiple CI/CD workflows in `.github/workflows/`
-
-- `platform-backend-ci.yml` - Backend testing and validation
-- `platform-frontend-ci.yml` - Frontend testing and validation
-- `platform-fullstack-ci.yml` - End-to-end integration tests
-
-**Pre-commit Hooks**: Run linting and formatting checks
-**Conventional Commits**: Use format `type(scope): description` (e.g., `feat(backend): add API`)
-
-### Key Source Files
-
-**Backend Entry Points:**
-
-- `backend/backend/server/server.py` - FastAPI application setup
-- `backend/backend/data/` - Database models and user management
-- `backend/blocks/` - Agent execution blocks and logic
-
-**Frontend Entry Points:**
-
-- `frontend/src/app/layout.tsx` - Root application layout
-- `frontend/src/app/page.tsx` - Home page
-- `frontend/src/lib/supabase/` - Authentication and database client
-
-**Protected Routes**: Update `frontend/lib/supabase/middleware.ts` when adding protected routes
-
-### Agent Block System
-
-Agents are built using a visual block-based system where each block performs a single action. Blocks are defined in `backend/blocks/` and must include:
-
-- Block definition with input/output schemas
-- Execution logic with proper error handling
-- Tests validating functionality
-
-### Database & ORM
-
-**Prisma ORM** with PostgreSQL backend including pgvector for embeddings:
-
-- Schema in `schema.prisma`
-- Migrations in `backend/migrations/`
-- Always run `prisma migrate dev` and `prisma generate` after schema changes
-
-## Environment Configuration
-
-### Configuration Files Priority Order
-
-1. **Backend**: `/backend/.env.default` → `/backend/.env` (user overrides)
-2. **Frontend**: `/frontend/.env.default` → `/frontend/.env` (user overrides)
-3. **Platform**: `/.env.default` (Supabase/shared) → `/.env` (user overrides)
-4. Docker Compose `environment:` sections override file-based config
-5. Shell environment variables have highest precedence
-
-### Docker Environment Setup
-
-- All services use hardcoded defaults (no `${VARIABLE}` substitutions)
-- The `env_file` directive loads variables INTO containers at runtime
-- Backend/Frontend services use YAML anchors for consistent configuration
-- Copy `.env.default` files to `.env` for local development customization
-
-## Advanced Development Patterns
-
-### Adding New Blocks
-
-1. Create file in `/backend/backend/blocks/`
-2. Inherit from `Block` base class with input/output schemas
-3. Implement `run` method with proper error handling
-4. Generate block UUID using `uuid.uuid4()`
-5. Register in block registry
-6. Write tests alongside block implementation
-7. Consider how inputs/outputs connect with other blocks in graph editor
-
-### API Development
-
-1. Update routes in `/backend/backend/server/routers/`
-2. Add/update Pydantic models in same directory
-3. Write tests alongside route files
-4. For `data/*.py` changes, validate user ID checks
-5. Run `poetry run test` to verify changes
-
-### Frontend Development
-
-**📖 Complete Frontend Guide**: See `autogpt_platform/frontend/CONTRIBUTING.md` and `autogpt_platform/frontend/.cursorrules` for comprehensive patterns and conventions.
-
-**Quick Reference:**
-
-**Component Structure:**
-
-- Separate render logic from data/behavior
-- Structure: `ComponentName/ComponentName.tsx` + `useComponentName.ts` + `helpers.ts`
-- Exception: Small components (3-4 lines of logic) can be inline
-- Render-only components can be direct files without folders
-
-**Data Fetching:**
-
-- Use generated API hooks from `@/app/api/__generated__/endpoints/`
-- Generated via Orval from backend OpenAPI spec
-- Pattern: `use{Method}{Version}{OperationName}`
-- Example: `useGetV2ListLibraryAgents`
-- Regenerate with: `pnpm generate:api`
-- **Never** use deprecated `BackendAPI` or `src/lib/autogpt-server-api/*`
-
-**Code Conventions:**
-
-- Use function declarations for components and handlers (not arrow functions)
-- Only arrow functions for small inline lambdas (map, filter, etc.)
-- Components: `PascalCase`, Hooks: `camelCase` with `use` prefix
-- No barrel files or `index.ts` re-exports
-- Minimal comments (code should be self-documenting)
-
-**Styling:**
-
-- Use Tailwind CSS utilities only
-- Use design system components from `src/components/` (atoms, molecules, organisms)
-- Never use `src/components/__legacy__/*`
-- Only use Phosphor Icons (`@phosphor-icons/react`)
-- Prefer design tokens over hardcoded values
-
-**Error Handling:**
-
-- Render errors: Use `<ErrorCard />` component
-- Mutation errors: Display with toast notifications
-- Manual exceptions: Use `Sentry.captureException()`
-- Global error boundaries already configured
-
-**Testing:**
-
-- Add/update Storybook stories for UI components (`pnpm storybook`)
-- Run Playwright E2E tests with `pnpm test`
-- Verify in Chromatic after PR
-
-**Architecture:**
-
-- Default to client components ("use client")
-- Server components only for SEO or extreme TTFB needs
-- Use React Query for server state (via generated hooks)
-- Co-locate UI state in components/hooks
-
-### Security Guidelines
-
-**Cache Protection Middleware** (`/backend/backend/server/middleware/security.py`):
-
-- Default: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
-- Uses allow list approach for cacheable paths (static assets, health checks, public pages)
-- Prevents sensitive data caching in browsers/proxies
-- Add new cacheable endpoints to `CACHEABLE_PATHS`
-
-### CI/CD Alignment
-
-The repository has comprehensive CI workflows that test:
-
-- **Backend**: Python 3.11-3.13, services (Redis/RabbitMQ/ClamAV), Prisma migrations, Poetry lock validation
-- **Frontend**: Node.js 21, pnpm, Playwright with Docker Compose stack, API schema validation
-- **Integration**: Full-stack type checking and E2E testing
-
-Match these patterns when developing locally - the copilot setup environment mirrors these CI configurations.
-
-## Collaboration with Other AI Assistants
-
-This repository is actively developed with assistance from Claude (via CLAUDE.md files). When working on this codebase:
-
-- Check for existing CLAUDE.md files that provide additional context
-- Follow established patterns and conventions already in the codebase
-- Maintain consistency with existing code style and architecture
-- Consider that changes may be reviewed and extended by both human developers and AI assistants
-
-## Trust These Instructions
-
-These instructions are comprehensive and tested. Only perform additional searches if:
-
-1. Information here is incomplete for your specific task
-2. You encounter errors not covered by the workarounds
-3. You need to understand implementation details not covered above
-
-For detailed platform development patterns, refer to `autogpt_platform/CLAUDE.md` and `AGENTS.md` in the repository root.

.github/dependabot.yml

@@ -1,153 +0,0 @@
-version: 2
-updates:
-  # autogpt_libs (Poetry project)
-  - package-ecosystem: "pip"
-    directory: "autogpt_platform/autogpt_libs"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 10
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(libs/deps)"
-      prefix-development: "chore(libs/deps-dev)"
-    ignore:
-      - dependency-name: "poetry"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # backend (Poetry project)
-  - package-ecosystem: "pip"
-    directory: "autogpt_platform/backend"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 10
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(backend/deps)"
-      prefix-development: "chore(backend/deps-dev)"
-    ignore:
-      - dependency-name: "poetry"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # frontend (Next.js project)
-  - package-ecosystem: "npm"
-    directory: "autogpt_platform/frontend"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 10
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(frontend/deps)"
-      prefix-development: "chore(frontend/deps-dev)"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # infra (Terraform)
-  - package-ecosystem: "terraform"
-    directory: "autogpt_platform/infra"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 5
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(infra/deps)"
-      prefix-development: "chore(infra/deps-dev)"
-
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # GitHub Actions
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 5
-    target-branch: "dev"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # Docker
-  - package-ecosystem: "docker"
-    directory: "autogpt_platform/"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 5
-    target-branch: "dev"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"
-
-  # Docs
-  - package-ecosystem: "pip"
-    directory: "docs/"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 1
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(docs/deps)"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-          - "minor"
-          - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-          - "minor"
-          - "patch"

.github/labeler.yml

@@ -1,33 +0,0 @@
-Classic AutoGPT Agent:
-- changed-files:
-  - any-glob-to-any-file: classic/original_autogpt/**
-
-Classic Benchmark:
-- changed-files:
-  - any-glob-to-any-file: classic/benchmark/**
-
-Classic Frontend:
-- changed-files:
-  - any-glob-to-any-file: classic/frontend/**
-
-Forge:
-- changed-files:
-  - any-glob-to-any-file: classic/forge/**
-
-documentation:
-- changed-files:
-  - any-glob-to-any-file: docs/**
-
-platform/frontend:
-- changed-files:
-  - any-glob-to-any-file: autogpt_platform/frontend/**
-
-platform/backend:
-- changed-files:
-  - all-globs-to-any-file:
-    - autogpt_platform/backend/**
-    - '!autogpt_platform/backend/backend/blocks/**'
-
-platform/blocks:
-- changed-files:
-  - any-glob-to-any-file: autogpt_platform/backend/backend/blocks/**

.github/workflows/benchmarks.yml

@@ -0,0 +1,73 @@
+name: Benchmarks
+
+on:
+  schedule:
+    - cron: '0 8 * * *'
+  workflow_dispatch:
+
+jobs:
+  Benchmark:
+    name: ${{ matrix.config.task-name }}
+    runs-on: ubuntu-latest
+    timeout-minutes: 30
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - python-version: "3.10"
+            task: "tests/challenges"
+            task-name: "Mandatory Tasks"
+          - python-version: "3.10"
+            task: "--beat-challenges -ra tests/challenges"
+            task-name: "Challenging Tasks"
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          ref: master
+
+      - name: Set up Python ${{ matrix.config.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.config.python-version }}
+
+      - id: get_date
+        name: Get date
+        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}-${{ steps.get_date.outputs.date }}
+
+      - name: Install Python dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Run pytest with coverage
+        run: |
+          rm -rf tests/Auto-GPT-test-cassettes
+          pytest -n auto --record-mode=all ${{ matrix.config.task }}
+        env:
+          CI: true
+          PROXY: ${{ secrets.PROXY }}
+          AGENT_MODE: ${{ secrets.AGENT_MODE }}
+          AGENT_TYPE: ${{ secrets.AGENT_TYPE }}
+          PLAIN_OUTPUT: True
+
+      - name: Upload logs as artifact
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: test-logs-${{ matrix.config.task-name }}
+          path: logs/
+
+      - name: Upload cassettes as artifact
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: cassettes-${{ matrix.config.task-name }}
+          path: tests/Auto-GPT-test-cassettes/

.github/workflows/ci.yml

@@ -0,0 +1,261 @@
+name: Python CI
+
+on:
+  push:
+    branches: [ master, ci-test* ]
+    paths-ignore:
+      - 'tests/Auto-GPT-test-cassettes'
+      - 'tests/challenges/current_score.json'
+  pull_request:
+    branches: [ stable, master, release-* ]
+  pull_request_target:
+    branches: [ master, release-*, ci-test* ]
+
+concurrency:
+  group: ${{ format('ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
+  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
+
+jobs:
+  lint:
+    # eliminate duplicate runs
+    if: github.event_name == 'push' || (github.event.pull_request.head.repo.fork == (github.event_name == 'pull_request_target'))
+
+    runs-on: ubuntu-latest
+    env:
+      min-python-version: "3.10"
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+
+      - name: Set up Python ${{ env.min-python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ env.min-python-version }}
+
+      - id: get_date
+        name: Get date
+        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}-${{ steps.get_date.outputs.date }}
+
+      - 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()
+
+      - name: Check mypy formatting
+        run: mypy
+        if: success() || failure()
+
+      - name: Check for unused imports and pass statements
+        run: |
+          cmd="autoflake --remove-all-unused-imports --recursive --ignore-init-module-imports --ignore-pass-after-docstring autogpt tests"
+          $cmd --check || (echo "You have unused imports or pass statements, please run '${cmd} --in-place'" && exit 1)
+
+  test:
+    # eliminate duplicate runs
+    if: github.event_name == 'push' || (github.event.pull_request.head.repo.fork == (github.event_name == 'pull_request_target'))
+
+    permissions:
+      # Gives the action the necessary permissions for publishing new
+      # comments in pull requests.
+      pull-requests: write
+      # Gives the action the necessary permissions for pushing data to the
+      # python-coverage-comment-action branch, and for editing existing
+      # comments (to avoid publishing multiple comments in the same PR)
+      contents: write
+    runs-on: ubuntu-latest
+    timeout-minutes: 30
+    strategy:
+      matrix:
+        python-version: ["3.10"]
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+          submodules: true
+
+      - name: Configure git user Auto-GPT-Bot
+        run: |
+          git config --global user.name "Auto-GPT-Bot"
+          git config --global user.email "github-bot@agpt.co"
+
+      - name: Checkout cassettes
+        if: ${{ startsWith(github.event_name, 'pull_request') }}
+        run: |
+          cassette_branch="${{ github.event.pull_request.user.login }}-${{ github.event.pull_request.head.ref }}"
+          cassette_base_branch="${{ github.event.pull_request.base.ref }}"
+          cd tests/Auto-GPT-test-cassettes
+
+          if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
+            cassette_base_branch="master"
+          fi
+
+          if git ls-remote --exit-code --heads origin $cassette_branch ; then
+            git fetch origin $cassette_branch
+            git fetch origin $cassette_base_branch
+
+            git checkout $cassette_branch
+
+            # Pick non-conflicting cassette updates from the base branch
+            git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
+            echo "Using cassettes from mirror branch '$cassette_branch'," \
+              "synced to upstream branch '$cassette_base_branch'."
+          else
+            git checkout -b $cassette_branch
+            echo "Branch '$cassette_branch' does not exist in cassette submodule." \
+              "Using cassettes from '$cassette_base_branch'."
+          fi
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - id: get_date
+        name: Get date
+        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}-${{ steps.get_date.outputs.date }}
+
+      - name: Install Python dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Run pytest with coverage
+        run: |
+          pytest -vv --cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
+            --numprocesses=logical --durations=10 \
+            tests/unit tests/integration tests/challenges
+          python tests/challenges/utils/build_current_score.py
+        env:
+          CI: true
+          PROXY: ${{ github.event_name == 'pull_request_target' && secrets.PROXY || '' }}
+          AGENT_MODE: ${{ github.event_name == 'pull_request_target' && secrets.AGENT_MODE || '' }}
+          AGENT_TYPE: ${{ github.event_name == 'pull_request_target' && secrets.AGENT_TYPE || '' }}
+          OPENAI_API_KEY: ${{ github.event_name != 'pull_request_target' && secrets.OPENAI_API_KEY || '' }}
+          PLAIN_OUTPUT: True
+
+      - name: Upload coverage reports to Codecov
+        uses: codecov/codecov-action@v3
+
+      - id: setup_git_auth
+        name: Set up git token authentication
+        # Cassettes may be pushed even when tests fail
+        if: success() || failure()
+        run: |
+          config_key="http.${{ github.server_url }}/.extraheader"
+          base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
+
+          git config "$config_key" \
+            "Authorization: Basic $base64_pat"
+
+          cd tests/Auto-GPT-test-cassettes
+          git config "$config_key" \
+            "Authorization: Basic $base64_pat"
+
+          echo "config_key=$config_key" >> $GITHUB_OUTPUT
+
+      - name: Push updated challenge scores
+        if: github.event_name == 'push'
+        run: |
+          score_file="tests/challenges/current_score.json"
+
+          if ! git diff --quiet $score_file; then
+            git add $score_file
+            git commit -m "Update challenge scores"
+            git push origin HEAD:${{ github.ref_name }}
+          else
+            echo "The challenge scores didn't change."
+          fi
+
+      - id: push_cassettes
+        name: Push updated cassettes
+        # For pull requests, push updated cassettes even when tests fail
+        if: github.event_name == 'push' || success() || failure()
+        run: |
+          if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
+            is_pull_request=true
+            cassette_branch="${{ github.event.pull_request.user.login }}-${{ github.event.pull_request.head.ref }}"
+          else
+            cassette_branch="${{ github.ref_name }}"
+          fi
+
+          cd tests/Auto-GPT-test-cassettes
+          # Commit & push changes to cassettes if any
+          if ! git diff --quiet; then
+            git add .
+            git commit -m "Auto-update cassettes"
+            git push origin HEAD:$cassette_branch
+            if [ ! $is_pull_request ]; then
+              cd ../..
+              git add tests/Auto-GPT-test-cassettes
+              git commit -m "Update cassette submodule"
+              git push origin HEAD:$cassette_branch
+            fi
+            echo "updated=true" >> $GITHUB_OUTPUT
+          else
+            echo "updated=false" >> $GITHUB_OUTPUT
+            echo "No cassette changes to commit"
+          fi
+
+      - name: Post Set up git token auth
+        if: steps.setup_git_auth.outcome == 'success'
+        run: |
+          git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
+          git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
+
+      - name: Apply "behaviour change" label and comment on PR
+        if: ${{ startsWith(github.event_name, 'pull_request') }}
+        run: |
+          PR_NUMBER=${{ github.event.pull_request.number }}
+          TOKEN=${{ secrets.PAT_REVIEW }}
+          REPO=${{ github.repository }}
+
+          if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
+            echo "Adding label and comment..."
+            curl -X POST \
+            -H "Authorization: Bearer $TOKEN" \
+            -H "Accept: application/vnd.github.v3+json" \
+            https://api.github.com/repos/$REPO/issues/$PR_NUMBER/labels \
+            -d '{"labels":["behaviour change"]}'
+
+            echo $TOKEN | gh auth login --with-token
+            gh api repos/$REPO/issues/$PR_NUMBER/comments -X POST -F body="You changed AutoGPT's behaviour. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
+          fi
+
+      - name: Upload logs to artifact
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: test-logs
+          path: logs/

.github/workflows/classic-autogpt-ci.yml

@@ -1,145 +0,0 @@
-name: Classic - AutoGPT CI
-
-on:
-  push:
-    branches: [ master, dev, ci-test* ]
-    paths:
-      - '.github/workflows/classic-autogpt-ci.yml'
-      - 'classic/original_autogpt/**'
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - '.github/workflows/classic-autogpt-ci.yml'
-      - 'classic/original_autogpt/**'
-
-concurrency:
-  group: ${{ format('classic-autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: classic/original_autogpt
-
-jobs:
-  test:
-    permissions:
-      contents: read
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.10"]
-        platform-os: [ubuntu, macos, macos-arm64, windows]
-    runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
-
-    steps:
-      # Quite slow on macOS (2~4 minutes to set up Docker)
-      # - name: Set up Docker (macOS)
-      #   if: runner.os == 'macOS'
-      #   uses: crazy-max/ghaction-setup-docker@v3
-
-      - name: Start MinIO service (Linux)
-        if: runner.os == 'Linux'
-        working-directory: '.'
-        run: |
-          docker pull minio/minio:edge-cicd
-          docker run -d -p 9000:9000 minio/minio:edge-cicd
-
-      - name: Start MinIO service (macOS)
-        if: runner.os == 'macOS'
-        working-directory: ${{ runner.temp }}
-        run: |
-          brew install minio/stable/minio
-          mkdir data
-          minio server ./data &
-
-      # No MinIO on Windows:
-      # - Windows doesn't support running Linux Docker containers
-      # - It doesn't seem possible to start background processes on Windows. They are
-      #   killed after the step returns.
-      #   See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
-
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Configure git user Auto-GPT-Bot
-        run: |
-          git config --global user.name "Auto-GPT-Bot"
-          git config --global user.email "github-bot@agpt.co"
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - id: get_date
-        name: Get date
-        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
-
-      - name: Set up Python dependency cache
-        # On Windows, unpacking cached dependencies takes longer than just installing them
-        if: runner.os != 'Windows'
-        uses: actions/cache@v4
-        with:
-          path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('classic/original_autogpt/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        if: runner.os != 'Windows'
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-
-          if [ "${{ runner.os }}" = "macOS" ]; then
-            PATH="$HOME/.local/bin:$PATH"
-            echo "$HOME/.local/bin" >> $GITHUB_PATH
-          fi
-
-      - name: Install Poetry (Windows)
-        if: runner.os == 'Windows'
-        shell: pwsh
-        run: |
-          (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
-
-          $env:PATH += ";$env:APPDATA\Python\Scripts"
-          echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
-
-      - name: Install Python dependencies
-        run: poetry install
-
-      - name: Run pytest with coverage
-        run: |
-          poetry run pytest -vv \
-            --cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
-            --numprocesses=logical --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
-            tests/unit tests/integration
-        env:
-          CI: true
-          PLAIN_OUTPUT: True
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
-          AWS_ACCESS_KEY_ID: minioadmin
-          AWS_SECRET_ACCESS_KEY: minioadmin
-
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          flags: autogpt-agent,${{ runner.os }}
-
-      - name: Upload logs to artifact
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: test-logs
-          path: classic/original_autogpt/logs/

.github/workflows/classic-autogpt-docker-cache-clean.yml

@@ -1,60 +0,0 @@
-name: Classic - Purge Auto-GPT Docker CI cache
-
-on:
-  schedule:
-    - cron: 20 4 * * 1,4
-
-env:
-  BASE_BRANCH: dev
-  IMAGE_NAME: auto-gpt
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        build-type: [release, dev]
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - id: build
-        name: Build image
-        uses: docker/build-push-action@v6
-        with:
-          context: classic/
-          file: classic/Dockerfile.autogpt
-          build-args: BUILD_TYPE=${{ matrix.build-type }}
-          load: true # save to docker images
-          # use GHA cache as read-only
-          cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
-
-      - name: Generate build report
-        env:
-          event_name: ${{ github.event_name }}
-          event_ref: ${{ github.event.schedule }}
-
-          build_type: ${{ matrix.build-type }}
-
-          prod_branch: master
-          dev_branch: dev
-          repository: ${{ github.repository }}
-          base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
-
-          current_ref: ${{ github.ref_name }}
-          commit_hash: ${{ github.sha }}
-          source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.sha) }}
-          push_forced_label:
-
-          new_commits_json: ${{ null }}
-          compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
-
-          github_context_json: ${{ toJSON(github) }}
-          job_env_json: ${{ toJSON(env) }}
-          vars_json: ${{ toJSON(vars) }}
-
-        run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
-        continue-on-error: true

.github/workflows/classic-autogpt-docker-ci.yml

@@ -1,166 +0,0 @@
-name: Classic - AutoGPT Docker CI
-
-on:
-  push:
-    branches: [master, dev]
-    paths:
-      - '.github/workflows/classic-autogpt-docker-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - '.github/workflows/classic-autogpt-docker-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-
-concurrency:
-  group: ${{ format('classic-autogpt-docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
-
-defaults:
-  run:
-    working-directory: classic/original_autogpt
-
-env:
-  IMAGE_NAME: auto-gpt
-  DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER && format('{0}/', secrets.DOCKER_USER) || '' }}auto-gpt
-  DEV_IMAGE_TAG: latest-dev
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        build-type: [release, dev]
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - if: runner.debug
-        run: |
-          ls -al
-          du -hs *
-
-      - id: build
-        name: Build image
-        uses: docker/build-push-action@v6
-        with:
-          context: classic/
-          file: classic/Dockerfile.autogpt
-          build-args: BUILD_TYPE=${{ matrix.build-type }}
-          tags: ${{ env.IMAGE_NAME }}
-          labels: GIT_REVISION=${{ github.sha }}
-          load: true # save to docker images
-          # cache layers in GitHub Actions cache to speed up builds
-          cache-from: type=gha,scope=autogpt-docker-${{ matrix.build-type }}
-          cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
-
-      - name: Generate build report
-        env:
-          event_name: ${{ github.event_name }}
-          event_ref: ${{ github.event.ref }}
-          event_ref_type: ${{ github.event.ref}}
-
-          build_type: ${{ matrix.build-type }}
-
-          prod_branch: master
-          dev_branch: dev
-          repository: ${{ github.repository }}
-          base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
-
-          current_ref: ${{ github.ref_name }}
-          commit_hash: ${{ github.event.after }}
-          source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
-          push_forced_label: ${{ github.event.forced && '☢️ forced' || '' }}
-
-          new_commits_json: ${{ toJSON(github.event.commits) }}
-          compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
-
-          github_context_json: ${{ toJSON(github) }}
-          job_env_json: ${{ toJSON(env) }}
-          vars_json: ${{ toJSON(vars) }}
-
-        run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
-        continue-on-error: true
-
-  test:
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-
-    services:
-      minio:
-        image: minio/minio:edge-cicd
-        options: >
-          --name=minio
-          --health-interval=10s --health-timeout=5s --health-retries=3
-          --health-cmd="curl -f http://localhost:9000/minio/health/live"
-
-    steps:
-      - name: Check out repository
-        uses: actions/checkout@v4
-        with:
-          submodules: true
-
-      - if: github.event_name == 'push'
-        name: Log in to Docker hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USER }}
-          password: ${{ secrets.DOCKER_PASSWORD }}
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - id: build
-        name: Build image
-        uses: docker/build-push-action@v6
-        with:
-          context: classic/
-          file: classic/Dockerfile.autogpt
-          build-args: BUILD_TYPE=dev # include pytest
-          tags: >
-            ${{ env.IMAGE_NAME }},
-            ${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}
-          labels: GIT_REVISION=${{ github.sha }}
-          load: true # save to docker images
-          # cache layers in GitHub Actions cache to speed up builds
-          cache-from: type=gha,scope=autogpt-docker-dev
-          cache-to: type=gha,scope=autogpt-docker-dev,mode=max
-
-      - id: test
-        name: Run tests
-        env:
-          CI: true
-          PLAIN_OUTPUT: True
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          S3_ENDPOINT_URL: http://minio:9000
-          AWS_ACCESS_KEY_ID: minioadmin
-          AWS_SECRET_ACCESS_KEY: minioadmin
-        run: |
-          set +e
-          docker run --env CI --env OPENAI_API_KEY \
-            --network container:minio \
-            --env S3_ENDPOINT_URL --env AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY \
-            --entrypoint poetry ${{ env.IMAGE_NAME }} run \
-            pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
-            --numprocesses=4 --durations=10 \
-            tests/unit tests/integration 2>&1 | tee test_output.txt
-
-          test_failure=${PIPESTATUS[0]}
-
-          cat << $EOF >> $GITHUB_STEP_SUMMARY
-          # Tests $([ $test_failure = 0 ] && echo '✅' || echo '❌')
-          \`\`\`
-          $(cat test_output.txt)
-          \`\`\`
-          $EOF
-
-          exit $test_failure
-
-      - if: github.event_name == 'push' && github.ref_name == 'master'
-        name: Push image to Docker Hub
-        run: docker push ${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}

.github/workflows/classic-autogpt-docker-release.yml

@@ -1,87 +0,0 @@
-name: Classic - AutoGPT Docker Release
-
-on:
-  release:
-    types: [published, edited]
-
-  workflow_dispatch:
-    inputs:
-      no_cache:
-        type: boolean
-        description: 'Build from scratch, without using cached layers'
-
-env:
-  IMAGE_NAME: auto-gpt
-  DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
-
-jobs:
-  build:
-    if: startsWith(github.ref, 'refs/tags/autogpt-')
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Log in to Docker hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USER }}
-          password: ${{ secrets.DOCKER_PASSWORD }}
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-        # slashes are not allowed in image tags, but can appear in git branch or tag names
-      - id: sanitize_tag
-        name: Sanitize image tag
-        run: |
-          tag=${raw_tag//\//-}
-          echo tag=${tag#autogpt-} >> $GITHUB_OUTPUT
-        env:
-          raw_tag: ${{ github.ref_name }}
-
-      - id: build
-        name: Build image
-        uses: docker/build-push-action@v6
-        with:
-          context: classic/
-          file: Dockerfile.autogpt
-          build-args: BUILD_TYPE=release
-          load: true # save to docker images
-          # push: true  # TODO: uncomment when this issue is fixed: https://github.com/moby/buildkit/issues/1555
-          tags: >
-            ${{ env.IMAGE_NAME }},
-            ${{ env.DEPLOY_IMAGE_NAME }}:latest,
-            ${{ env.DEPLOY_IMAGE_NAME }}:${{ steps.sanitize_tag.outputs.tag }}
-          labels: GIT_REVISION=${{ github.sha }}
-
-          # cache layers in GitHub Actions cache to speed up builds
-          cache-from: ${{ !inputs.no_cache && 'type=gha' || '' }},scope=autogpt-docker-release
-          cache-to: type=gha,scope=autogpt-docker-release,mode=max
-
-      - name: Push image to Docker Hub
-        run: docker push --all-tags ${{ env.DEPLOY_IMAGE_NAME }}
-
-      - name: Generate build report
-        env:
-          event_name: ${{ github.event_name }}
-          event_ref: ${{ github.event.ref }}
-          event_ref_type: ${{ github.event.ref}}
-          inputs_no_cache: ${{ inputs.no_cache }}
-
-          prod_branch: master
-          dev_branch: dev
-          repository: ${{ github.repository }}
-          base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
-
-          ref_type: ${{ github.ref_type }}
-          current_ref: ${{ github.ref_name }}
-          commit_hash: ${{ github.sha }}
-          source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
-
-          github_context_json: ${{ toJSON(github) }}
-          job_env_json: ${{ toJSON(env) }}
-          vars_json: ${{ toJSON(vars) }}
-
-        run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
-        continue-on-error: true

.github/workflows/classic-autogpts-ci.yml

@@ -1,76 +0,0 @@
-name: Classic - Agent smoke tests
-
-on:
-  workflow_dispatch:
-  schedule:
-    - cron: '0 8 * * *'
-  push:
-    branches: [ master, dev, ci-test* ]
-    paths:
-      - '.github/workflows/classic-autogpts-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-      - 'classic/benchmark/**'
-      - 'classic/run'
-      - 'classic/cli.py'
-      - 'classic/setup.py'
-      - '!**/*.md'
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - '.github/workflows/classic-autogpts-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-      - 'classic/benchmark/**'
-      - 'classic/run'
-      - 'classic/cli.py'
-      - 'classic/setup.py'
-      - '!**/*.md'
-
-defaults:
-  run:
-    shell: bash
-    working-directory: classic
-
-jobs:
-  serve-agent-protocol:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        agent-name: [ original_autogpt ]
-      fail-fast: false
-    timeout-minutes: 20
-    env:
-      min-python-version: '3.10'
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Set up Python ${{ env.min-python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.min-python-version }}
-
-      - name: Install Poetry
-        working-directory: ./classic/${{ matrix.agent-name }}/
-        run: |
-          curl -sSL https://install.python-poetry.org | python -
-
-      - name: Run regression tests
-        run: |
-          ./run agent start ${{ matrix.agent-name }}
-          cd ${{ matrix.agent-name }}
-          poetry run agbenchmark --mock --test=BasicRetrieval --test=Battleship --test=WebArenaTask_0
-          poetry run agbenchmark --test=WriteFile
-        env:
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          AGENT_NAME: ${{ matrix.agent-name }}
-          REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
-          HELICONE_CACHE_ENABLED: false
-          HELICONE_PROPERTY_AGENT: ${{ matrix.agent-name }}
-          REPORTS_FOLDER: ${{ format('../../reports/{0}', matrix.agent-name) }}
-          TELEMETRY_ENVIRONMENT: autogpt-ci
-          TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

.github/workflows/classic-benchmark-ci.yml

@@ -1,176 +0,0 @@
-name: Classic - AGBenchmark CI
-
-on:
-  push:
-    branches: [ master, dev, ci-test* ]
-    paths:
-      - 'classic/benchmark/**'
-      - '!classic/benchmark/reports/**'
-      - .github/workflows/classic-benchmark-ci.yml
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - 'classic/benchmark/**'
-      - '!classic/benchmark/reports/**'
-      - .github/workflows/classic-benchmark-ci.yml
-
-concurrency:
-  group: ${{ format('benchmark-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-
-env:
-  min-python-version: '3.10'
-
-jobs:
-  test:
-    permissions:
-      contents: read
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.10"]
-        platform-os: [ubuntu, macos, macos-arm64, windows]
-    runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
-    defaults:
-      run:
-        shell: bash
-        working-directory: classic/benchmark
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Set up Python dependency cache
-        # On Windows, unpacking cached dependencies takes longer than just installing them
-        if: runner.os != 'Windows'
-        uses: actions/cache@v4
-        with:
-          path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('classic/benchmark/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        if: runner.os != 'Windows'
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-
-          if [ "${{ runner.os }}" = "macOS" ]; then
-            PATH="$HOME/.local/bin:$PATH"
-            echo "$HOME/.local/bin" >> $GITHUB_PATH
-          fi
-
-      - name: Install Poetry (Windows)
-        if: runner.os == 'Windows'
-        shell: pwsh
-        run: |
-          (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
-
-          $env:PATH += ";$env:APPDATA\Python\Scripts"
-          echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
-
-      - name: Install Python dependencies
-        run: poetry install
-
-      - name: Run pytest with coverage
-        run: |
-          poetry run pytest -vv \
-            --cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
-            --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
-            tests
-        env:
-          CI: true
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          flags: agbenchmark,${{ runner.os }}
-
-  self-test-with-agent:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        agent-name: [forge]
-      fail-fast: false
-    timeout-minutes: 20
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Set up Python ${{ env.min-python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.min-python-version }}
-
-      - name: Install Poetry
-        run: |
-          curl -sSL https://install.python-poetry.org | python -
-
-      - name: Run regression tests
-        working-directory: classic
-        run: |
-          ./run agent start ${{ matrix.agent-name }}
-          cd ${{ matrix.agent-name }}
-
-          set +e # Ignore non-zero exit codes and continue execution
-          echo "Running the following command: poetry run agbenchmark --maintain --mock"
-          poetry run agbenchmark --maintain --mock
-          EXIT_CODE=$?
-          set -e  # Stop ignoring non-zero exit codes
-          # Check if the exit code was 5, and if so, exit with 0 instead
-          if [ $EXIT_CODE -eq 5 ]; then
-            echo "regression_tests.json is empty."
-          fi
-
-          echo "Running the following command: poetry run agbenchmark --mock"
-          poetry run agbenchmark --mock
-
-          echo "Running the following command: poetry run agbenchmark --mock --category=data"
-          poetry run agbenchmark --mock --category=data
-
-          echo "Running the following command: poetry run agbenchmark --mock --category=coding"
-          poetry run agbenchmark --mock --category=coding
-
-          # echo "Running the following command: poetry run agbenchmark --test=WriteFile"
-          # poetry run agbenchmark --test=WriteFile
-          cd ../benchmark
-          poetry install
-          echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
-          export BUILD_SKILL_TREE=true
-
-          # poetry run agbenchmark --mock
-
-          # CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../classic/frontend/assets)') || echo "No diffs"
-          # if [ ! -z "$CHANGED" ]; then
-          #   echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
-          #   echo "$CHANGED"
-          #   exit 1
-          # else
-          #   echo "No unstaged changes."
-          # fi
-        env:
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
-          TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

.github/workflows/classic-benchmark_publish_package.yml

@@ -1,55 +0,0 @@
-name: Classic - Publish to PyPI
-
-on:
-  workflow_dispatch:
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-      with:
-        submodules: true
-        fetch-depth: 0
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: 3.8
-
-    - name: Install Poetry
-      working-directory: ./classic/benchmark/
-      run: |
-        curl -sSL https://install.python-poetry.org | python3 -
-        echo "$HOME/.poetry/bin" >> $GITHUB_PATH
-
-    - name: Build project for distribution
-      working-directory: ./classic/benchmark/
-      run: poetry build
-
-    - name: Install dependencies
-      working-directory: ./classic/benchmark/
-      run: poetry install
-
-    - name: Check Version
-      working-directory: ./classic/benchmark/
-      id: check-version
-      run: |
-        echo version=$(poetry version --short) >> $GITHUB_OUTPUT
-
-    - name: Create Release
-      uses: ncipollo/release-action@v1
-      with:
-        artifacts: "classic/benchmark/dist/*"
-        token: ${{ secrets.GITHUB_TOKEN }}
-        draft: false
-        generateReleaseNotes: false
-        tag: agbenchmark-v${{ steps.check-version.outputs.version }}
-        commit: master
-
-    - name: Build and publish
-      working-directory: ./classic/benchmark/
-      run: poetry publish -u __token__ -p ${{ secrets.PYPI_API_TOKEN }}

.github/workflows/classic-forge-ci.yml

@@ -1,243 +0,0 @@
-name: Classic - Forge CI
-
-on:
-  push:
-    branches: [ master, dev, ci-test* ]
-    paths:
-      - '.github/workflows/classic-forge-ci.yml'
-      - 'classic/forge/**'
-      - '!classic/forge/tests/vcr_cassettes'
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - '.github/workflows/classic-forge-ci.yml'
-      - 'classic/forge/**'
-      - '!classic/forge/tests/vcr_cassettes'
-
-concurrency:
-  group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: classic/forge
-
-jobs:
-  test:
-    permissions:
-      contents: read
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.10"]
-        platform-os: [ubuntu, macos, macos-arm64, windows]
-    runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
-
-    steps:
-      # Quite slow on macOS (2~4 minutes to set up Docker)
-      # - name: Set up Docker (macOS)
-      #   if: runner.os == 'macOS'
-      #   uses: crazy-max/ghaction-setup-docker@v3
-
-      - name: Start MinIO service (Linux)
-        if: runner.os == 'Linux'
-        working-directory: '.'
-        run: |
-          docker pull minio/minio:edge-cicd
-          docker run -d -p 9000:9000 minio/minio:edge-cicd
-
-      - name: Start MinIO service (macOS)
-        if: runner.os == 'macOS'
-        working-directory: ${{ runner.temp }}
-        run: |
-          brew install minio/stable/minio
-          mkdir data
-          minio server ./data &
-
-      # No MinIO on Windows:
-      # - Windows doesn't support running Linux Docker containers
-      # - It doesn't seem possible to start background processes on Windows. They are
-      #   killed after the step returns.
-      #   See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
-
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Checkout cassettes
-        if: ${{ startsWith(github.event_name, 'pull_request') }}
-        env:
-          PR_BASE: ${{ github.event.pull_request.base.ref }}
-          PR_BRANCH: ${{ github.event.pull_request.head.ref }}
-          PR_AUTHOR: ${{ github.event.pull_request.user.login }}
-        run: |
-          cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
-          cassette_base_branch="${PR_BASE}"
-          cd tests/vcr_cassettes
-
-          if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
-            cassette_base_branch="master"
-          fi
-
-          if git ls-remote --exit-code --heads origin $cassette_branch ; then
-            git fetch origin $cassette_branch
-            git fetch origin $cassette_base_branch
-
-            git checkout $cassette_branch
-
-            # Pick non-conflicting cassette updates from the base branch
-            git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
-            echo "Using cassettes from mirror branch '$cassette_branch'," \
-              "synced to upstream branch '$cassette_base_branch'."
-          else
-            git checkout -b $cassette_branch
-            echo "Branch '$cassette_branch' does not exist in cassette submodule." \
-              "Using cassettes from '$cassette_base_branch'."
-          fi
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Set up Python dependency cache
-        # On Windows, unpacking cached dependencies takes longer than just installing them
-        if: runner.os != 'Windows'
-        uses: actions/cache@v4
-        with:
-          path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        if: runner.os != 'Windows'
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-
-          if [ "${{ runner.os }}" = "macOS" ]; then
-            PATH="$HOME/.local/bin:$PATH"
-            echo "$HOME/.local/bin" >> $GITHUB_PATH
-          fi
-
-      - name: Install Poetry (Windows)
-        if: runner.os == 'Windows'
-        shell: pwsh
-        run: |
-          (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
-
-          $env:PATH += ";$env:APPDATA\Python\Scripts"
-          echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
-
-      - name: Install Python dependencies
-        run: poetry install
-
-      - name: Run pytest with coverage
-        run: |
-          poetry run pytest -vv \
-            --cov=forge --cov-branch --cov-report term-missing --cov-report xml \
-            --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
-            forge
-        env:
-          CI: true
-          PLAIN_OUTPUT: True
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
-          AWS_ACCESS_KEY_ID: minioadmin
-          AWS_SECRET_ACCESS_KEY: minioadmin
-
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          flags: forge,${{ runner.os }}
-
-      - id: setup_git_auth
-        name: Set up git token authentication
-        # Cassettes may be pushed even when tests fail
-        if: success() || failure()
-        run: |
-          config_key="http.${{ github.server_url }}/.extraheader"
-          if [ "${{ runner.os }}" = 'macOS' ]; then
-            base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
-          else
-            base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
-          fi
-
-          git config "$config_key" \
-            "Authorization: Basic $base64_pat"
-
-          cd tests/vcr_cassettes
-          git config "$config_key" \
-            "Authorization: Basic $base64_pat"
-
-          echo "config_key=$config_key" >> $GITHUB_OUTPUT
-
-      - id: push_cassettes
-        name: Push updated cassettes
-        # For pull requests, push updated cassettes even when tests fail
-        if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
-        env:
-          PR_BRANCH: ${{ github.event.pull_request.head.ref }}
-          PR_AUTHOR: ${{ github.event.pull_request.user.login }}
-        run: |
-          if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
-            is_pull_request=true
-            cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
-          else
-            cassette_branch="${{ github.ref_name }}"
-          fi
-
-          cd tests/vcr_cassettes
-          # Commit & push changes to cassettes if any
-          if ! git diff --quiet; then
-            git add .
-            git commit -m "Auto-update cassettes"
-            git push origin HEAD:$cassette_branch
-            if [ ! $is_pull_request ]; then
-              cd ../..
-              git add tests/vcr_cassettes
-              git commit -m "Update cassette submodule"
-              git push origin HEAD:$cassette_branch
-            fi
-            echo "updated=true" >> $GITHUB_OUTPUT
-          else
-            echo "updated=false" >> $GITHUB_OUTPUT
-            echo "No cassette changes to commit"
-          fi
-
-      - name: Post Set up git token auth
-        if: steps.setup_git_auth.outcome == 'success'
-        run: |
-          git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
-          git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
-
-      - name: Apply "behaviour change" label and comment on PR
-        if: ${{ startsWith(github.event_name, 'pull_request') }}
-        run: |
-          PR_NUMBER="${{ github.event.pull_request.number }}"
-          TOKEN="${{ secrets.PAT_REVIEW }}"
-          REPO="${{ github.repository }}"
-
-          if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
-            echo "Adding label and comment..."
-            echo $TOKEN | gh auth login --with-token
-            gh issue edit $PR_NUMBER --add-label "behaviour change"
-            gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
-          fi
-
-      - name: Upload logs to artifact
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: test-logs
-          path: classic/forge/logs/

.github/workflows/classic-frontend-ci.yml

@@ -1,60 +0,0 @@
-name: Classic - Frontend CI/CD
-
-on:
-  push:
-    branches:
-      - master
-      - dev
-      - 'ci-test*' # This will match any branch that starts with "ci-test"
-    paths:
-      - 'classic/frontend/**'
-      - '.github/workflows/classic-frontend-ci.yml'
-  pull_request:
-    paths:
-      - 'classic/frontend/**'
-      - '.github/workflows/classic-frontend-ci.yml'
-
-jobs:
-  build:
-    permissions:
-      contents: write
-      pull-requests: write
-    runs-on: ubuntu-latest
-    env:
-      BUILD_BRANCH: ${{ format('classic-frontend-build/{0}', github.ref_name) }}
-
-    steps:
-      - name: Checkout Repo
-        uses: actions/checkout@v4
-
-      - name: Setup Flutter
-        uses: subosito/flutter-action@v2
-        with:
-          flutter-version: '3.13.2'
-
-      - name: Build Flutter to Web
-        run: |
-          cd classic/frontend
-          flutter build web --base-href /app/
-
-      # - name: Commit and Push to ${{ env.BUILD_BRANCH }}
-      #   if: github.event_name == 'push'
-      #   run: |
-      #     git config --local user.email "action@github.com"
-      #     git config --local user.name "GitHub Action"
-      #     git add classic/frontend/build/web
-      #     git checkout -B ${{ env.BUILD_BRANCH }}
-      #     git commit -m "Update frontend build to ${GITHUB_SHA:0:7}" -a
-      #     git push -f origin ${{ env.BUILD_BRANCH }}
-
-      - name: Create PR ${{ env.BUILD_BRANCH }} -> ${{ github.ref_name }}
-        if: github.event_name == 'push'
-        uses: peter-evans/create-pull-request@v7
-        with:
-          add-paths: classic/frontend/build/web
-          base: ${{ github.ref_name }}
-          branch: ${{ env.BUILD_BRANCH }}
-          delete-branch: true
-          title: "Update frontend build in `${{ github.ref_name }}`"
-          body: "This PR updates the frontend build based on commit ${{ github.sha }}."
-          commit-message: "Update frontend build based on commit ${{ github.sha }}"

.github/workflows/classic-python-checks.yml

@@ -1,151 +0,0 @@
-name: Classic - Python checks
-
-on:
-  push:
-    branches: [ master, dev, ci-test* ]
-    paths:
-      - '.github/workflows/classic-python-checks-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-      - 'classic/benchmark/**'
-      - '**.py'
-      - '!classic/forge/tests/vcr_cassettes'
-  pull_request:
-    branches: [ master, dev, release-* ]
-    paths:
-      - '.github/workflows/classic-python-checks-ci.yml'
-      - 'classic/original_autogpt/**'
-      - 'classic/forge/**'
-      - 'classic/benchmark/**'
-      - '**.py'
-      - '!classic/forge/tests/vcr_cassettes'
-
-concurrency:
-  group: ${{ format('classic-python-checks-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-
-jobs:
-  get-changed-parts:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - id: changes-in
-        name: Determine affected subprojects
-        uses: dorny/paths-filter@v3
-        with:
-          filters: |
-            original_autogpt:
-              - classic/original_autogpt/autogpt/**
-              - classic/original_autogpt/tests/**
-              - classic/original_autogpt/poetry.lock
-            forge:
-              - classic/forge/forge/**
-              - classic/forge/tests/**
-              - classic/forge/poetry.lock
-            benchmark:
-              - classic/benchmark/agbenchmark/**
-              - classic/benchmark/tests/**
-              - classic/benchmark/poetry.lock
-    outputs:
-      changed-parts: ${{ steps.changes-in.outputs.changes }}
-
-  lint:
-    needs: get-changed-parts
-    runs-on: ubuntu-latest
-    env:
-      min-python-version: "3.10"
-
-    strategy:
-      matrix:
-        sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
-      fail-fast: false
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python ${{ env.min-python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.min-python-version }}
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
-
-      - name: Install Poetry
-        run: curl -sSL https://install.python-poetry.org | python3 -
-
-      # Install dependencies
-
-      - name: Install Python dependencies
-        run: poetry -C classic/${{ matrix.sub-package }} install
-
-      # Lint
-
-      - name: Lint (isort)
-        run: poetry run isort --check .
-        working-directory: classic/${{ matrix.sub-package }}
-
-      - name: Lint (Black)
-        if: success() || failure()
-        run: poetry run black --check .
-        working-directory: classic/${{ matrix.sub-package }}
-
-      - name: Lint (Flake8)
-        if: success() || failure()
-        run: poetry run flake8 .
-        working-directory: classic/${{ matrix.sub-package }}
-
-  types:
-    needs: get-changed-parts
-    runs-on: ubuntu-latest
-    env:
-      min-python-version: "3.10"
-
-    strategy:
-      matrix:
-        sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
-      fail-fast: false
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python ${{ env.min-python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.min-python-version }}
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
-
-      - name: Install Poetry
-        run: curl -sSL https://install.python-poetry.org | python3 -
-
-      # Install dependencies
-
-      - name: Install Python dependencies
-        run: poetry -C classic/${{ matrix.sub-package }} install
-
-      # Typecheck
-
-      - name: Typecheck
-        if: success() || failure()
-        run: poetry run pyright
-        working-directory: classic/${{ matrix.sub-package }}

.github/workflows/claude-ci-failure-auto-fix.yml

@@ -1,97 +0,0 @@
-name: Auto Fix CI Failures
-
-on:
-  workflow_run:
-    workflows: ["CI"]
-    types:
-      - completed
-
-permissions:
-  contents: write
-  pull-requests: write
-  actions: read
-  issues: write
-  id-token: write # Required for OIDC token exchange
-
-jobs:
-  auto-fix:
-    if: |
-      github.event.workflow_run.conclusion == 'failure' &&
-      github.event.workflow_run.pull_requests[0] &&
-      !startsWith(github.event.workflow_run.head_branch, 'claude-auto-fix-ci-')
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.workflow_run.head_branch }}
-          fetch-depth: 0
-          token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Setup git identity
-        run: |
-          git config --global user.email "claude[bot]@users.noreply.github.com"
-          git config --global user.name "claude[bot]"
-
-      - name: Create fix branch
-        id: branch
-        run: |
-          BRANCH_NAME="claude-auto-fix-ci-${{ github.event.workflow_run.head_branch }}-${{ github.run_id }}"
-          git checkout -b "$BRANCH_NAME"
-          echo "branch_name=$BRANCH_NAME" >> $GITHUB_OUTPUT
-
-      - name: Get CI failure details
-        id: failure_details
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const run = await github.rest.actions.getWorkflowRun({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              run_id: ${{ github.event.workflow_run.id }}
-            });
-
-            const jobs = await github.rest.actions.listJobsForWorkflowRun({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              run_id: ${{ github.event.workflow_run.id }}
-            });
-
-            const failedJobs = jobs.data.jobs.filter(job => job.conclusion === 'failure');
-
-            let errorLogs = [];
-            for (const job of failedJobs) {
-              const logs = await github.rest.actions.downloadJobLogsForWorkflowRun({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                job_id: job.id
-              });
-              errorLogs.push({
-                jobName: job.name,
-                logs: logs.data
-              });
-            }
-
-            return {
-              runUrl: run.data.html_url,
-              failedJobs: failedJobs.map(j => j.name),
-              errorLogs: errorLogs
-            };
-
-      - name: Fix CI failures with Claude
-        id: claude
-        uses: anthropics/claude-code-action@v1
-        with:
-          prompt: |
-            /fix-ci 
-            Failed CI Run: ${{ fromJSON(steps.failure_details.outputs.result).runUrl }}
-            Failed Jobs: ${{ join(fromJSON(steps.failure_details.outputs.result).failedJobs, ', ') }}
-            PR Number: ${{ github.event.workflow_run.pull_requests[0].number }}
-            Branch Name: ${{ steps.branch.outputs.branch_name }}
-            Base Branch: ${{ github.event.workflow_run.head_branch }}
-            Repository: ${{ github.repository }}
-
-            Error logs:
-            ${{ toJSON(fromJSON(steps.failure_details.outputs.result).errorLogs) }}
-          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
-          claude_args: "--allowedTools 'Edit,MultiEdit,Write,Read,Glob,Grep,LS,Bash(git:*),Bash(bun:*),Bash(npm:*),Bash(npx:*),Bash(gh:*)'"

.github/workflows/claude-dependabot.yml

@@ -1,379 +0,0 @@
-# Claude Dependabot PR Review Workflow
-# 
-# This workflow automatically runs Claude analysis on Dependabot PRs to:
-# - Identify dependency changes and their versions
-# - Look up changelogs for updated packages  
-# - Assess breaking changes and security impacts
-# - Provide actionable recommendations for the development team
-#
-# Triggered on: Dependabot PRs (opened, synchronize)
-# Requirements: ANTHROPIC_API_KEY secret must be configured
-
-name: Claude Dependabot PR Review
-
-on:
-  pull_request:
-    types: [opened, synchronize]
-
-jobs:
-  dependabot-review:
-    # Only run on Dependabot PRs
-    if: github.actor == 'dependabot[bot]'
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-
-    permissions:
-      contents: write
-      pull-requests: read
-      issues: read
-      id-token: write
-      actions: read # Required for CI access
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 1
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"
-
-
-      - name: Run Claude Dependabot Analysis
-        id: claude_review
-        uses: anthropics/claude-code-action@v1
-        with:
-          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
-          claude_args: |
-            --allowedTools "Bash(npm:*),Bash(pnpm:*),Bash(poetry:*),Bash(git:*),Edit,Replace,NotebookEditCell,mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*)"
-          prompt: |
-            You are Claude, an AI assistant specialized in reviewing Dependabot dependency update PRs. 
-            
-            Your primary tasks are:
-            1. **Analyze the dependency changes** in this Dependabot PR
-            2. **Look up changelogs** for all updated dependencies to understand what changed
-            3. **Identify breaking changes** and assess potential impact on the AutoGPT codebase
-            4. **Provide actionable recommendations** for the development team
-            
-            ## Analysis Process:
-            
-            1. **Identify Changed Dependencies**: 
-               - Use git diff to see what dependencies were updated
-               - Parse package.json, poetry.lock, requirements files, etc.
-               - List all package versions: old → new
-            
-            2. **Changelog Research**:
-               - For each updated dependency, look up its changelog/release notes
-               - Use WebFetch to access GitHub releases, NPM package pages, PyPI project pages. The pr should also have some details
-               - Focus on versions between the old and new versions
-               - Identify: breaking changes, deprecations, security fixes, new features
-            
-            3. **Breaking Change Assessment**:
-               - Categorize changes: BREAKING, MAJOR, MINOR, PATCH, SECURITY
-               - Assess impact on AutoGPT's usage patterns
-               - Check if AutoGPT uses affected APIs/features
-               - Look for migration guides or upgrade instructions
-            
-            4. **Codebase Impact Analysis**:
-               - Search the AutoGPT codebase for usage of changed APIs
-               - Identify files that might be affected by breaking changes
-               - Check test files for deprecated usage patterns
-               - Look for configuration changes needed
-            
-            ## Output Format:
-            
-            Provide a comprehensive review comment with:
-            
-            ### 🔍 Dependency Analysis Summary
-            - List of updated packages with version changes
-            - Overall risk assessment (LOW/MEDIUM/HIGH)
-            
-            ### 📋 Detailed Changelog Review
-            For each updated dependency:
-            - **Package**: name (old_version → new_version)
-            - **Changes**: Summary of key changes
-            - **Breaking Changes**: List any breaking changes
-            - **Security Fixes**: Note security improvements
-            - **Migration Notes**: Any upgrade steps needed
-            
-            ### ⚠️ Impact Assessment
-            - **Breaking Changes Found**: Yes/No with details
-            - **Affected Files**: List AutoGPT files that may need updates
-            - **Test Impact**: Any tests that may need updating
-            - **Configuration Changes**: Required config updates
-            
-            ### 🛠️ Recommendations
-            - **Action Required**: What the team should do
-            - **Testing Focus**: Areas to test thoroughly
-            - **Follow-up Tasks**: Any additional work needed
-            - **Merge Recommendation**: APPROVE/REVIEW_NEEDED/HOLD
-            
-            ### 📚 Useful Links
-            - Links to relevant changelogs, migration guides, documentation
-            
-            Be thorough but concise. Focus on actionable insights that help the development team make informed decisions about the dependency updates.

.github/workflows/claude.yml

@@ -1,331 +0,0 @@
-name: Claude Code
-
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review_comment:
-    types: [created]
-  issues:
-    types: [opened, assigned]
-  pull_request_review:
-    types: [submitted]
-
-jobs:
-  claude:
-    if: |
-      (
-        (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
-        (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
-        (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
-        (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
-      ) && (
-        github.event.comment.author_association == 'OWNER' ||
-        github.event.comment.author_association == 'MEMBER' ||
-        github.event.comment.author_association == 'COLLABORATOR' ||
-        github.event.review.author_association == 'OWNER' ||
-        github.event.review.author_association == 'MEMBER' ||
-        github.event.review.author_association == 'COLLABORATOR' ||
-        github.event.issue.author_association == 'OWNER' ||
-        github.event.issue.author_association == 'MEMBER' ||
-        github.event.issue.author_association == 'COLLABORATOR'
-      )
-    runs-on: ubuntu-latest
-    timeout-minutes: 45
-
-    permissions:
-      contents: write
-      pull-requests: read
-      issues: read
-      id-token: write
-      actions: read # Required for CI access
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 1
-
-      - name: Free Disk Space (Ubuntu)
-        uses: jlumbroso/free-disk-space@v1.3.1
-        with:
-          large-packages: false  # slow
-          docker-images: false  # limited benefit
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"
-
-      - name: Run Claude Code
-        id: claude
-        uses: anthropics/claude-code-action@v1
-        with:
-          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
-          claude_args: |
-            --allowedTools "Bash(npm:*),Bash(pnpm:*),Bash(poetry:*),Bash(git:*),Edit,Replace,NotebookEditCell,mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr edit:*)"
-            --model opus
-          additional_permissions: |
-            actions: read

.github/workflows/codeql.yml

@@ -1,98 +0,0 @@
-# For most projects, this workflow file will not need changing; you simply need
-# to commit it to your repository.
-#
-# You may wish to alter this file to override the set of languages analyzed,
-# or to provide custom queries or build logic.
-#
-# ******** NOTE ********
-# We have attempted to detect the languages in your repository. Please check
-# the `language` matrix defined below to confirm you have the correct set of
-# supported CodeQL languages.
-#
-name: "CodeQL"
-
-on:
-  push:
-    branches: [ "master", "release-*", "dev" ]
-  pull_request:
-    branches: [ "master", "release-*", "dev" ]
-  merge_group:
-  schedule:
-    - cron: '15 4 * * 0'
-
-jobs:
-  analyze:
-    name: Analyze (${{ matrix.language }})
-    # Runner size impacts CodeQL analysis time. To learn more, please see:
-    #   - https://gh.io/recommended-hardware-resources-for-running-codeql
-    #   - https://gh.io/supported-runners-and-hardware-resources
-    #   - https://gh.io/using-larger-runners (GitHub.com only)
-    # Consider using larger runners or machines with greater resources for possible analysis time improvements.
-    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
-    permissions:
-      # required for all workflows
-      security-events: write
-
-      # required to fetch internal or private CodeQL packs
-      packages: read
-
-      # only required for workflows in private repositories
-      actions: read
-      contents: read
-
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-        - language: typescript
-          build-mode: none
-        - language: python
-          build-mode: none
-        # CodeQL supports the following values keywords for 'language': 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
-        # Use `c-cpp` to analyze code written in C, C++ or both
-        # Use 'java-kotlin' to analyze code written in Java, Kotlin or both
-        # Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
-        # To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
-        # see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
-        # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
-        # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-
-    # Initializes the CodeQL tools for scanning.
-    - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
-      with:
-        languages: ${{ matrix.language }}
-        build-mode: ${{ matrix.build-mode }}
-        # If you wish to specify custom queries, you can do so here or in a config file.
-        # By default, queries listed here will override any specified in a config file.
-        # Prefix the list here with "+" to use these queries and those in the config file.
-        config: |
-          paths-ignore:
-            - classic/frontend/build/**
-
-        # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
-        # queries: security-extended,security-and-quality
-
-    # If the analyze step fails for one of the languages you are analyzing with
-    # "We were unable to automatically build your code", modify the matrix above
-    # to set the build mode to "manual" for that language. Then modify this step
-    # to build your code.
-    # ℹ️ Command-line programs to run using the OS shell.
-    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
-    - if: matrix.build-mode == 'manual'
-      shell: bash
-      run: |
-        echo 'If you are using a "manual" build mode for one or more of the' \
-          'languages you are analyzing, replace this with the commands to build' \
-          'your code, for example:'
-        echo '  make bootstrap'
-        echo '  make release'
-        exit 1
-
-    - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
-      with:
-        category: "/language:${{matrix.language}}"

.github/workflows/copilot-setup-steps.yml

@@ -1,302 +0,0 @@
-name: "Copilot Setup Steps"
-
-# Automatically run the setup steps when they are changed to allow for easy validation, and
-# allow manual testing through the repository's "Actions" tab
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-  pull_request:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-
-jobs:
-  # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
-  copilot-setup-steps:
-    runs-on: ubuntu-latest
-    timeout-minutes: 45
-
-    # Set the permissions to the lowest permissions possible needed for your steps.
-    # Copilot will be given its own token for its operations.
-    permissions:
-      # If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
-      contents: read
-
-    # You can define any steps you want, and they will run before the agent starts.
-    # If you do not check out your code, Copilot will do this for you.
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"

.github/workflows/docker-cache-clean.yml

@@ -0,0 +1,58 @@
+name: Purge Docker CI cache
+
+on:
+  schedule:
+    - cron: 20 4 * * 1,4
+
+env:
+  BASE_BRANCH: master
+  IMAGE_NAME: auto-gpt
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        build-type: [release, dev]
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v2
+
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v3
+      with:
+        build-args: BUILD_TYPE=${{ matrix.build-type }}
+        load: true    # save to docker images
+        # use GHA cache as read-only
+        cache-to: type=gha,scope=docker-${{ matrix.build-type }},mode=max
+
+    - name: Generate build report
+      env:
+        event_name: ${{ github.event_name }}
+        event_ref: ${{ github.event.schedule }}
+
+        build_type: ${{ matrix.build-type }}
+
+        prod_branch: stable
+        dev_branch: master
+        repository: ${{ github.repository }}
+        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'stable' && 'master' || 'stable' }}
+
+        current_ref: ${{ github.ref_name }}
+        commit_hash: ${{ github.sha }}
+        source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.sha) }}
+        push_forced_label:
+
+        new_commits_json: ${{ null }}
+        compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
+
+        github_context_json: ${{ toJSON(github) }}
+        job_env_json: ${{ toJSON(env) }}
+        vars_json: ${{ toJSON(vars) }}
+
+      run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
+      continue-on-error: true

.github/workflows/docker-ci.yml

@@ -0,0 +1,124 @@
+name: Docker CI
+
+on:
+  push:
+    branches: [ master ]
+    paths-ignore:
+      - 'tests/Auto-GPT-test-cassettes'
+      - 'tests/challenges/current_score.json'
+  pull_request:
+    branches: [ master, release-*, stable ]
+
+concurrency:
+  group: ${{ format('docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
+  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
+
+env:
+  IMAGE_NAME: auto-gpt
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        build-type: [release, dev]
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v2
+
+    - if: runner.debug
+      run: |
+        ls -al
+        du -hs *
+
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v3
+      with:
+        build-args: BUILD_TYPE=${{ matrix.build-type }}
+        tags: ${{ env.IMAGE_NAME }}
+        load: true    # save to docker images
+        # cache layers in GitHub Actions cache to speed up builds
+        cache-from: type=gha,scope=docker-${{ matrix.build-type }}
+        cache-to: type=gha,scope=docker-${{ matrix.build-type }},mode=max
+
+    - name: Generate build report
+      env:
+        event_name: ${{ github.event_name }}
+        event_ref: ${{ github.event.ref }}
+        event_ref_type: ${{ github.event.ref}}
+
+        build_type: ${{ matrix.build-type }}
+
+        prod_branch: stable
+        dev_branch: master
+        repository: ${{ github.repository }}
+        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'stable' && 'master' || 'stable' }}
+
+        current_ref: ${{ github.ref_name }}
+        commit_hash: ${{ github.event.after }}
+        source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
+        push_forced_label: ${{ github.event.forced && '☢️ forced' || '' }}
+
+        new_commits_json: ${{ toJSON(github.event.commits) }}
+        compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
+
+        github_context_json: ${{ toJSON(github) }}
+        job_env_json: ${{ toJSON(env) }}
+        vars_json: ${{ toJSON(vars) }}
+
+      run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
+      continue-on-error: true
+
+  test:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v3
+        with:
+          submodules: true
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+
+      - id: build
+        name: Build image
+        uses: docker/build-push-action@v3
+        with:
+          build-args: BUILD_TYPE=dev  # include pytest
+          tags: ${{ env.IMAGE_NAME }}
+          load: true                  # save to docker images
+          # cache layers in GitHub Actions cache to speed up builds
+          cache-from: type=gha,scope=docker-dev
+          cache-to: type=gha,scope=docker-dev,mode=max
+
+      - id: test
+        name: Run tests
+        env:
+          CI: true
+          PLAIN_OUTPUT: True
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        run: |
+          set +e
+          test_output=$(
+            docker run --env CI --env OPENAI_API_KEY --entrypoint python ${{ env.IMAGE_NAME }} -m \
+            pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
+              --numprocesses=4 --durations=10 \
+              tests/unit tests/integration 2>&1
+          )
+          test_failure=$?
+
+          echo "$test_output"
+
+          cat << $EOF >> $GITHUB_STEP_SUMMARY
+          # Tests $([ $test_failure = 0 ] && echo '✅' || echo '❌')
+          \`\`\`
+          $test_output
+          \`\`\`
+          $EOF
+
+          exit $test_failure

.github/workflows/docker-release.yml

@@ -0,0 +1,81 @@
+name: Docker Release
+
+on:
+  release:
+    types: [ published, edited ]
+
+  workflow_dispatch:
+    inputs:
+      no_cache:
+        type: boolean
+        description: 'Build from scratch, without using cached layers'
+
+env:
+  IMAGE_NAME: auto-gpt
+  DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    - name: Log in to Docker hub
+      uses: docker/login-action@v2
+      with:
+        username: ${{ secrets.DOCKER_USER }}
+        password: ${{ secrets.DOCKER_PASSWORD }}
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v2
+
+      # slashes are not allowed in image tags, but can appear in git branch or tag names
+    - id: sanitize_tag
+      name: Sanitize image tag
+      run: echo tag=${raw_tag//\//-} >> $GITHUB_OUTPUT
+      env:
+        raw_tag: ${{ github.ref_name }}
+
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v3
+      with:
+        build-args: BUILD_TYPE=release
+        load: true    # save to docker images
+        # push: true  # TODO: uncomment when this issue is fixed: https://github.com/moby/buildkit/issues/1555
+        tags: >
+          ${{ env.IMAGE_NAME }},
+          ${{ env.DEPLOY_IMAGE_NAME }}:latest,
+          ${{ env.DEPLOY_IMAGE_NAME }}:${{ steps.sanitize_tag.outputs.tag }}
+
+        # cache layers in GitHub Actions cache to speed up builds
+        cache-from: ${{ !inputs.no_cache && 'type=gha' || '' }},scope=docker-release
+        cache-to: type=gha,scope=docker-release,mode=max
+
+    - name: Push image to Docker Hub
+      run: docker push --all-tags ${{ env.DEPLOY_IMAGE_NAME }}
+
+    - name: Generate build report
+      env:
+        event_name: ${{ github.event_name }}
+        event_ref: ${{ github.event.ref }}
+        event_ref_type: ${{ github.event.ref}}
+        inputs_no_cache: ${{ inputs.no_cache }}
+
+        prod_branch: stable
+        dev_branch: master
+        repository: ${{ github.repository }}
+        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'stable' && 'master' || 'stable' }}
+
+        ref_type: ${{ github.ref_type }}
+        current_ref: ${{ github.ref_name }}
+        commit_hash: ${{ github.sha }}
+        source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
+
+        github_context_json: ${{ toJSON(github) }}
+        job_env_json: ${{ toJSON(env) }}
+        vars_json: ${{ toJSON(vars) }}
+
+      run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
+      continue-on-error: true

.github/workflows/documentation-release.yml

@@ -0,0 +1,37 @@
+name: Docs
+
+on:
+  push:
+    branches: [ stable ]
+    paths:
+      - 'docs/**'
+      - 'mkdocs.yml'
+      - '.github/workflows/documentation.yml'
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+permissions:
+  contents: write
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Set up Python 3
+        uses: actions/setup-python@v4
+        with:
+          python-version: 3.x
+
+      - name: Set up workflow cache
+        uses: actions/cache@v3
+        with:
+          key: ${{ github.ref }}
+          path: .cache
+
+      - run: pip install mkdocs-material
+
+      - run: mkdocs gh-deploy --force

.github/workflows/platform-autogpt-deploy-dev.yaml

@@ -1,60 +0,0 @@
-name: AutoGPT Platform - Deploy Dev Environment
-
-on:
-  push:
-    branches: [ dev ]
-    paths:
-      - 'autogpt_platform/**'
-  workflow_dispatch:
-    inputs:
-      git_ref:
-        description: 'Git ref (branch/tag) of AutoGPT to deploy'
-        required: true
-        default: 'master'
-        type: string
-
-permissions:
-  contents: 'read'
-  id-token: 'write'
-
-jobs:
-  migrate:
-    environment: develop
-    name: Run migrations for AutoGPT Platform
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.inputs.git_ref || github.ref_name }}
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-
-      - name: Install Python dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install prisma
-
-      - name: Run Backend Migrations
-        working-directory: ./autogpt_platform/backend
-        run: |
-          python -m prisma migrate deploy
-        env:
-          DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
-          DIRECT_URL: ${{ secrets.BACKEND_DATABASE_URL }}
-
-  trigger:
-    needs: migrate
-    runs-on: ubuntu-latest
-    steps:
-      - name: Trigger deploy workflow
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ secrets.DEPLOY_TOKEN }}
-          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
-          event-type: build_deploy_dev
-          client-payload: '{"ref": "${{ github.event.inputs.git_ref || github.ref }}", "repository": "${{ github.repository }}"}'

.github/workflows/platform-autogpt-deploy-prod.yml

@@ -1,54 +0,0 @@
-name: AutoGPT Platform - Deploy Prod Environment
-
-on:
-  release:
-    types: [published]
-  workflow_dispatch:
-
-permissions:
-  contents: 'read'
-  id-token: 'write'
-
-jobs:
-  migrate:
-    environment: production
-    name: Run migrations for AutoGPT Platform
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.ref_name || 'master' }}
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-
-      - name: Install Python dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install prisma
-
-      - name: Run Backend Migrations
-        working-directory: ./autogpt_platform/backend
-        run: |
-          python -m prisma migrate deploy
-        env:
-          DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
-          DIRECT_URL: ${{ secrets.BACKEND_DATABASE_URL }}
-
-
-  trigger:
-    needs: migrate
-    runs-on: ubuntu-latest
-    steps:
-      - name: Trigger deploy workflow
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ secrets.DEPLOY_TOKEN }}
-          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
-          event-type: build_deploy_prod
-          client-payload: |
-            {"ref": "${{ github.ref_name || 'master' }}", "repository": "${{ github.repository }}"}

.github/workflows/platform-backend-ci.yml

@@ -1,225 +0,0 @@
-name: AutoGPT Platform - Backend CI
-
-on:
-  push:
-    branches: [master, dev, ci-test*]
-    paths:
-      - ".github/workflows/platform-backend-ci.yml"
-      - "autogpt_platform/backend/**"
-      - "autogpt_platform/autogpt_libs/**"
-  pull_request:
-    branches: [master, dev, release-*]
-    paths:
-      - ".github/workflows/platform-backend-ci.yml"
-      - "autogpt_platform/backend/**"
-      - "autogpt_platform/autogpt_libs/**"
-  merge_group:
-
-concurrency:
-  group: ${{ format('backend-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/backend
-
-jobs:
-  test:
-    permissions:
-      contents: read
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.11", "3.12", "3.13"]
-    runs-on: ubuntu-latest
-
-    services:
-      redis:
-        image: redis:latest
-        ports:
-          - 6379:6379
-      rabbitmq:
-        image: rabbitmq:3.12-management
-        ports:
-          - 5672:5672
-          - 15672:15672
-        env:
-          RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
-          RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
-      clamav:
-        image: clamav/clamav-debian:latest
-        ports:
-          - 3310:3310
-        env:
-          CLAMAV_NO_FRESHCLAMD: false
-          CLAMD_CONF_StreamMaxLength: 50M
-          CLAMD_CONF_MaxFileSize: 100M
-          CLAMD_CONF_MaxScanSize: 100M
-          CLAMD_CONF_MaxThreads: 4
-          CLAMD_CONF_ReadTimeout: 300
-        options: >-
-          --health-cmd "clamdscan --version || exit 1"
-          --health-interval 30s
-          --health-timeout 10s
-          --health-retries 5
-          --health-start-period 180s
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Setup Supabase
-        uses: supabase/setup-cli@v1
-        with:
-          version: 1.178.1
-
-      - id: get_date
-        name: Get date
-        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        run: |
-          # Extract Poetry version from backend/poetry.lock
-          HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-
-          if [ -n "$BASE_REF" ]; then
-            BASE_BRANCH=${BASE_REF/refs\/heads\//}
-            BASE_POETRY_VERSION=$((git show "origin/$BASE_BRANCH":./poetry.lock; true) | python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry -)
-            echo "Found Poetry version ${BASE_POETRY_VERSION} in backend/poetry.lock on ${BASE_REF}"
-            POETRY_VERSION=$(printf '%s\n' "$HEAD_POETRY_VERSION" "$BASE_POETRY_VERSION" | sort -V | tail -n1)
-          else
-            POETRY_VERSION=$HEAD_POETRY_VERSION
-          fi
-          echo "Using Poetry version ${POETRY_VERSION}"
-
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$POETRY_VERSION python3 -
-
-          if [ "${{ runner.os }}" = "macOS" ]; then
-            PATH="$HOME/.local/bin:$PATH"
-            echo "$HOME/.local/bin" >> $GITHUB_PATH
-          fi
-        env:
-          BASE_REF: ${{ github.base_ref || github.event.merge_group.base_ref }}
-
-      - name: Check poetry.lock
-        run: |
-          poetry lock
-
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Error: poetry.lock not up to date."
-            echo
-            git diff poetry.lock
-            exit 1
-          fi
-
-      - name: Install Python dependencies
-        run: poetry install
-
-      - name: Generate Prisma Client
-        run: poetry run prisma generate
-
-      - id: supabase
-        name: Start Supabase
-        working-directory: .
-        run: |
-          supabase init
-          supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
-          supabase status -o env | sed 's/="/=/; s/"$//' >> $GITHUB_OUTPUT
-        # outputs:
-        # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
-
-      - name: Wait for ClamAV to be ready
-        run: |
-          echo "Waiting for ClamAV daemon to start..."
-          max_attempts=60
-          attempt=0
-          
-          until nc -z localhost 3310 || [ $attempt -eq $max_attempts ]; do
-            echo "ClamAV is unavailable - sleeping (attempt $((attempt+1))/$max_attempts)"
-            sleep 5
-            attempt=$((attempt+1))
-          done
-          
-          if [ $attempt -eq $max_attempts ]; then
-            echo "ClamAV failed to start after $((max_attempts*5)) seconds"
-            echo "Checking ClamAV service logs..."
-            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
-            exit 1
-          fi
-          
-          echo "ClamAV is ready!"
-          
-          # Verify ClamAV is responsive
-          echo "Testing ClamAV connection..."
-          timeout 10 bash -c 'echo "PING" | nc localhost 3310' || {
-            echo "ClamAV is not responding to PING"
-            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
-            exit 1
-          }
-
-      - name: Run Database Migrations
-        run: poetry run prisma migrate dev --name updates
-        env:
-          DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
-          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
-
-      - id: lint
-        name: Run Linter
-        run: poetry run lint
-
-      - name: Run pytest with coverage
-        run: |
-          if [[ "${{ runner.debug }}" == "1" ]]; then
-            poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG
-          else
-            poetry run pytest -s -vv
-          fi
-        if: success() || (failure() && steps.lint.outcome == 'failure')
-        env:
-          LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
-          DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
-          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
-          SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
-          SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
-          JWT_VERIFY_KEY: ${{ steps.supabase.outputs.JWT_SECRET }}
-          REDIS_HOST: "localhost"
-          REDIS_PORT: "6379"
-          ENCRYPTION_KEY: "dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=" # DO NOT USE IN PRODUCTION!!
-
-    env:
-      CI: true
-      PLAIN_OUTPUT: True
-      RUN_ENV: local
-      PORT: 8080
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      # We know these are here, don't report this as a security vulnerability
-      # This is used as the default credential for the entire system's RabbitMQ instance
-      # If you want to replace this, you can do so by making our entire system generate
-      # new credentials for each local user and update the environment variables in
-      # the backend service, docker composes, and examples
-      RABBITMQ_DEFAULT_USER: "rabbitmq_user_default"
-      RABBITMQ_DEFAULT_PASS: "k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7"
-
-      # - name: Upload coverage reports to Codecov
-      #   uses: codecov/codecov-action@v4
-      #   with:
-      #     token: ${{ secrets.CODECOV_TOKEN }}
-      #     flags: backend,${{ runner.os }}

.github/workflows/platform-dev-deploy-event-dispatcher.yml

@@ -1,198 +0,0 @@
-name: AutoGPT Platform - Dev Deploy PR Event Dispatcher
-
-on:
-  pull_request:
-    types: [closed]
-  issue_comment:
-    types: [created]
-
-permissions:
-  issues: write
-  pull-requests: write
-
-jobs:
-  dispatch:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check comment permissions and deployment status
-        id: check_status
-        if: github.event_name == 'issue_comment' && github.event.issue.pull_request
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const commentBody = context.payload.comment.body.trim();
-            const commentUser = context.payload.comment.user.login;
-            const prAuthor = context.payload.issue.user.login;
-            const authorAssociation = context.payload.comment.author_association;
-            
-            // Check permissions
-            const hasPermission = (
-              authorAssociation === 'OWNER' ||
-              authorAssociation === 'MEMBER' ||
-              authorAssociation === 'COLLABORATOR'
-            );
-            
-            core.setOutput('comment_body', commentBody);
-            core.setOutput('has_permission', hasPermission);
-            
-            if (!hasPermission && (commentBody === '!deploy' || commentBody === '!undeploy')) {
-              core.setOutput('permission_denied', 'true');
-              return;
-            }
-            
-            if (commentBody !== '!deploy' && commentBody !== '!undeploy') {
-              return;
-            }
-            
-            // Process deploy command
-            if (commentBody === '!deploy') {
-              core.setOutput('should_deploy', 'true');
-            }
-            // Process undeploy command
-            else if (commentBody === '!undeploy') {
-              core.setOutput('should_undeploy', 'true');
-            }
-
-      - name: Post permission denied comment
-        if: steps.check_status.outputs.permission_denied == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-              body: `❌ **Permission denied**: Only the repository owners, members, or collaborators can use deployment commands.`
-            });
-
-      - name: Get PR details for deployment
-        id: pr_details
-        if: steps.check_status.outputs.should_deploy == 'true' || steps.check_status.outputs.should_undeploy == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const pr = await github.rest.pulls.get({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              pull_number: context.issue.number
-            });
-            core.setOutput('pr_number', pr.data.number);
-            core.setOutput('pr_title', pr.data.title);
-            core.setOutput('pr_state', pr.data.state);
-          
-      - name: Dispatch Deploy Event
-        if: steps.check_status.outputs.should_deploy == 'true'
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ secrets.DISPATCH_TOKEN }}
-          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
-          event-type: pr-event
-          client-payload: |
-            {
-              "action": "deploy",
-              "pr_number": "${{ steps.pr_details.outputs.pr_number }}",
-              "pr_title": "${{ steps.pr_details.outputs.pr_title }}",
-              "pr_state": "${{ steps.pr_details.outputs.pr_state }}",
-              "repo": "${{ github.repository }}"
-            }
-
-      - name: Post deploy success comment
-        if: steps.check_status.outputs.should_deploy == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-              body: `🚀 **Deploying PR #${{ steps.pr_details.outputs.pr_number }}** to development environment...`
-            });
-
-      - name: Dispatch Undeploy Event (from comment)
-        if: steps.check_status.outputs.should_undeploy == 'true'
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ secrets.DISPATCH_TOKEN }}
-          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
-          event-type: pr-event
-          client-payload: |
-            {
-              "action": "undeploy",
-              "pr_number": "${{ steps.pr_details.outputs.pr_number }}",
-              "pr_title": "${{ steps.pr_details.outputs.pr_title }}",
-              "pr_state": "${{ steps.pr_details.outputs.pr_state }}",
-              "repo": "${{ github.repository }}"
-            }
-
-      - name: Post undeploy success comment
-        if: steps.check_status.outputs.should_undeploy == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-              body: `🗑️ **Undeploying PR #${{ steps.pr_details.outputs.pr_number }}** from development environment...`
-            });
-
-      - name: Check deployment status on PR close
-        id: check_pr_close
-        if: github.event_name == 'pull_request' && github.event.action == 'closed'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const comments = await github.rest.issues.listComments({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number
-            });
-            
-            let lastDeployIndex = -1;
-            let lastUndeployIndex = -1;
-            
-            comments.data.forEach((comment, index) => {
-              if (comment.body.trim() === '!deploy') {
-                lastDeployIndex = index;
-              } else if (comment.body.trim() === '!undeploy') {
-                lastUndeployIndex = index;
-              }
-            });
-            
-            // Should undeploy if there's a !deploy without a subsequent !undeploy
-            const shouldUndeploy = lastDeployIndex !== -1 && lastDeployIndex > lastUndeployIndex;
-            core.setOutput('should_undeploy', shouldUndeploy);
-            
-      - name: Dispatch Undeploy Event (PR closed with active deployment)
-        if: >-
-          github.event_name == 'pull_request' &&
-          github.event.action == 'closed' &&
-          steps.check_pr_close.outputs.should_undeploy == 'true'
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ secrets.DISPATCH_TOKEN }}
-          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
-          event-type: pr-event
-          client-payload: |
-            {
-              "action": "undeploy",
-              "pr_number": "${{ github.event.pull_request.number }}",
-              "pr_title": "${{ github.event.pull_request.title }}",
-              "pr_state": "${{ github.event.pull_request.state }}",
-              "repo": "${{ github.repository }}"
-            }
-
-      - name: Post PR close undeploy comment
-        if: >-
-          github.event_name == 'pull_request' &&
-          github.event.action == 'closed' &&
-          steps.check_pr_close.outputs.should_undeploy == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-              body: `🧹 **Auto-undeploying**: PR closed with active deployment. Cleaning up development environment for PR #${{ github.event.pull_request.number }}.`
-            });

.github/workflows/platform-frontend-ci.yml

@@ -1,239 +0,0 @@
-name: AutoGPT Platform - Frontend CI
-
-on:
-  push:
-    branches: [master, dev]
-    paths:
-      - ".github/workflows/platform-frontend-ci.yml"
-      - "autogpt_platform/frontend/**"
-  pull_request:
-    paths:
-      - ".github/workflows/platform-frontend-ci.yml"
-      - "autogpt_platform/frontend/**"
-  merge_group:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'merge_group' && format('merge-queue-{0}', github.ref) || format('{0}-{1}', github.ref, github.event.pull_request.number || github.sha) }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/frontend
-
-jobs:
-  setup:
-    runs-on: ubuntu-latest
-    outputs:
-      cache-key: ${{ steps.cache-key.outputs.key }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Generate cache key
-        id: cache-key
-        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
-
-      - name: Cache dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ steps.cache-key.outputs.key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-  lint:
-    runs-on: ubuntu-latest
-    needs: setup
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Run lint
-        run: pnpm lint
-
-  chromatic:
-    runs-on: ubuntu-latest
-    needs: setup
-    # Only run on dev branch pushes or PRs targeting dev
-    if: github.ref == 'refs/heads/dev' || github.base_ref == 'dev'
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Run Chromatic
-        uses: chromaui/action@latest
-        with:
-          projectToken: chpt_9e7c1a76478c9c8
-          onlyChanged: true
-          workingDir: autogpt_platform/frontend
-          token: ${{ secrets.GITHUB_TOKEN }}
-          exitOnceUploaded: true
-
-  test:
-    runs-on: big-boi
-    needs: setup
-    strategy:
-      fail-fast: false
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Copy default supabase .env
-        run: |
-          cp ../.env.default ../.env
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Cache Docker layers
-        uses: actions/cache@v4
-        with:
-          path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-buildx-frontend-test-
-
-      - name: Run docker compose
-        run: |
-          NEXT_PUBLIC_PW_TEST=true docker compose -f ../docker-compose.yml up -d
-        env:
-          DOCKER_BUILDKIT: 1
-          BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
-          BUILDX_CACHE_TO: type=local,dest=/tmp/.buildx-cache-new,mode=max
-
-      - name: Move cache
-        run: |
-          rm -rf /tmp/.buildx-cache
-          if [ -d "/tmp/.buildx-cache-new" ]; then
-            mv /tmp/.buildx-cache-new /tmp/.buildx-cache
-          fi
-
-      - name: Wait for services to be ready
-        run: |
-          echo "Waiting for rest_server to be ready..."
-          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
-
-      - name: Create E2E test data
-        run: |
-          echo "Creating E2E test data..."
-          # First try to run the script from inside the container
-          if docker compose -f ../docker-compose.yml exec -T rest_server test -f /app/autogpt_platform/backend/test/e2e_test_data.py; then
-            echo "✅ Found e2e_test_data.py in container, running it..."
-            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python backend/test/e2e_test_data.py" || {
-              echo "❌ E2E test data creation failed!"
-              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
-              exit 1
-            }
-          else
-            echo "⚠️ e2e_test_data.py not found in container, copying and running..."
-            # Copy the script into the container and run it
-            docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.yml ps -q rest_server):/tmp/e2e_test_data.py || {
-              echo "❌ Failed to copy script to container"
-              exit 1
-            }
-            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
-              echo "❌ E2E test data creation failed!"
-              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
-              exit 1
-            }
-          fi
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Install Browser 'chromium'
-        run: pnpm playwright install --with-deps chromium
-
-      - name: Run Playwright tests
-        run: pnpm test:no-build
-
-      - name: Upload Playwright artifacts
-        if: failure()
-        uses: actions/upload-artifact@v4
-        with:
-          name: playwright-report
-          path: playwright-report
-
-      - name: Print Final Docker Compose logs
-        if: always()
-        run: docker compose -f ../docker-compose.yml logs

.github/workflows/platform-fullstack-ci.yml

@@ -1,136 +0,0 @@
-name: AutoGPT Platform - Frontend CI
-
-on:
-  push:
-    branches: [master, dev]
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  pull_request:
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  merge_group:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'merge_group' && format('merge-queue-{0}', github.ref) || github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/frontend
-
-jobs:
-  setup:
-    runs-on: ubuntu-latest
-    outputs:
-      cache-key: ${{ steps.cache-key.outputs.key }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Generate cache key
-        id: cache-key
-        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
-
-      - name: Cache dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ steps.cache-key.outputs.key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-  types:
-    runs-on: ubuntu-latest
-    needs: setup
-    strategy:
-      fail-fast: false
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Copy default supabase .env
-        run: |
-          cp ../.env.default ../.env
-
-      - name: Copy backend .env
-        run: |
-          cp ../backend/.env.default ../backend/.env
-
-      - name: Run docker compose
-        run: |
-          docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Setup .env
-        run: cp .env.default .env
-
-      - name: Wait for services to be ready
-        run: |
-          echo "Waiting for rest_server to be ready..."
-          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
-
-      - name: Generate API queries
-        run: pnpm generate:api:force
-
-      - name: Check for API schema changes
-        run: |
-          if ! git diff --exit-code src/app/api/openapi.json; then
-            echo "❌ API schema changes detected in src/app/api/openapi.json"
-            echo ""
-            echo "The openapi.json file has been modified after running 'pnpm generate:api-all'."
-            echo "This usually means changes have been made in the BE endpoints without updating the Frontend."
-            echo "The API schema is now out of sync with the Front-end queries."
-            echo ""
-            echo "To fix this:"
-            echo "1. Pull the backend 'docker compose pull && docker compose up -d --build --force-recreate'"
-            echo "2. Run 'pnpm generate:api' locally"
-            echo "3. Run 'pnpm types' locally"
-            echo "4. Fix any TypeScript errors that may have been introduced"
-            echo "5. Commit and push your changes"
-            echo ""
-            exit 1
-          else
-            echo "✅ No API schema changes detected"
-          fi
-
-      - name: Run Typescript checks
-        run: pnpm types

.github/workflows/pr-label.yml

@@ -1,12 +1,12 @@
-name: Repo - Pull Request auto-label
+name: "Pull Request auto-label"
 
 on:
   # So that PRs touching the same files as the push are updated
   push:
-    branches: [ master, dev, release-* ]
+    branches: [ master, release-* ]
     paths-ignore:
-      - 'classic/forge/tests/vcr_cassettes'
-      - 'classic/benchmark/reports/**'
+      - 'tests/Auto-GPT-test-cassettes'
+      - 'tests/challenges/current_score.json'
   # 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
@@ -52,15 +52,6 @@ jobs:
           l_label: 'size/l'
           l_max_size: 500
           xl_label: 'size/xl'
-          message_if_xl:
-
-  scope:
-    if: ${{ github.event_name == 'pull_request_target' }}
-    permissions:
-      contents: read
-      pull-requests: write
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/labeler@v6
-        with:
-          sync-labels: true
+          message_if_xl: >
+            This PR exceeds the recommended size of 500 lines.
+            Please make sure you are NOT addressing multiple issues with one PR.

.github/workflows/repo-close-stale-issues.yml

@@ -1,34 +0,0 @@
-name: Repo - Close stale issues
-on:
-  schedule:
-    - cron: '30 1 * * *'
-  workflow_dispatch:
-
-permissions:
-  issues: write
-
-jobs:
-  stale:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/stale@v10
-        with:
-          # operations-per-run: 5000
-          stale-issue-message: >
-            This issue has automatically been marked as _stale_ because it has not had
-            any activity in the last 170 days. You can _unstale_ it by commenting or
-            removing the label. Otherwise, this issue will be closed in 10 days.
-          stale-pr-message: >
-            This pull request has automatically been marked as _stale_ because it has
-            not had any activity in the last 50 days. You can _unstale_ it by commenting
-            or removing the label.
-          close-issue-message: >
-            This issue was closed automatically because it has been stale for 10 days
-            with no activity.
-          days-before-stale: 170
-          days-before-close: 10
-          # Do not touch meta issues:
-          exempt-issue-labels: meta,fridge,project management
-          # Do not affect pull requests:
-          days-before-pr-stale: -1
-          days-before-pr-close: -1

.github/workflows/repo-pr-enforce-base-branch.yml

@@ -1,21 +0,0 @@
-name: Repo - Enforce dev as base branch
-on:
-  pull_request_target:
-    branches: [ master ]
-    types: [ opened ]
-
-jobs:
-  check_pr_target:
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    steps:
-      - name: Check if PR is from dev or hotfix
-        if: ${{ !(startsWith(github.event.pull_request.head.ref, 'hotfix/') || github.event.pull_request.head.ref == 'dev') }}
-        run: |
-          gh pr comment ${{ github.event.number }} --repo "$REPO" \
-            --body $'This PR targets the `master` branch but does not come from `dev` or a `hotfix/*` branch.\n\nAutomatically setting the base branch to `dev`.'
-          gh pr edit ${{ github.event.number }} --base dev --repo "$REPO"
-        env:
-          GITHUB_TOKEN: ${{ github.token }}
-          REPO: ${{ github.repository }}

.github/workflows/repo-stats.yml

@@ -1,20 +0,0 @@
-name: Repo - Github Stats
-
-on:
-  schedule:
-    # Run this once per day, towards the end of the day for keeping the most
-    # recent data point most meaningful (hours are interpreted in UTC).
-    - cron: "0 23 * * *"
-  workflow_dispatch: # Allow for running this manually.
-
-jobs:
-  j1:
-    name: github-repo-stats
-    runs-on: ubuntu-latest
-    steps:
-      - name: run-ghrs
-        # Use latest release.
-        uses: jgehrcke/github-repo-stats@HEAD
-        with:
-          ghtoken: ${{ secrets.ghrs_github_api_token }}
-

.github/workflows/repo-workflow-checker.yml

@@ -1,32 +0,0 @@
-name: Repo - PR Status Checker
-on:
-  pull_request:
-    types: [opened, synchronize, reopened]
-  merge_group:
-
-jobs:
-  status-check:
-    name: Check PR Status
-    runs-on: ubuntu-latest
-    steps:
-      # - name: Wait some time for all actions to start
-      #   run: sleep 30
-      - uses: actions/checkout@v4
-        # with:
-          # fetch-depth: 0
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.10"
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install requests
-      - name: Check PR Status
-        run: |
-          echo "Current directory before running Python script:"
-          pwd
-          echo "Attempting to run Python script:"
-          python .github/workflows/scripts/check_actions_status.py
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/scripts/check_actions_status.py

@@ -1,116 +0,0 @@
-import json
-import os
-import requests
-import sys
-import time
-from typing import Dict, List, Tuple
-
-CHECK_INTERVAL = 30
-
-
-def get_environment_variables() -> Tuple[str, str, str, str, str]:
-    """Retrieve and return necessary environment variables."""
-    try:
-        with open(os.environ["GITHUB_EVENT_PATH"]) as f:
-            event = json.load(f)
-
-        # Handle both PR and merge group events
-        if "pull_request" in event:
-            sha = event["pull_request"]["head"]["sha"]
-        else:
-            sha = os.environ["GITHUB_SHA"]
-
-        return (
-            os.environ["GITHUB_API_URL"],
-            os.environ["GITHUB_REPOSITORY"],
-            sha,
-            os.environ["GITHUB_TOKEN"],
-            os.environ["GITHUB_RUN_ID"],
-        )
-    except KeyError as e:
-        print(f"Error: Missing required environment variable or event data: {e}")
-        sys.exit(1)
-
-
-def make_api_request(url: str, headers: Dict[str, str]) -> Dict:
-    """Make an API request and return the JSON response."""
-    try:
-        print("Making API request to:", url)
-        response = requests.get(url, headers=headers, timeout=10)
-        response.raise_for_status()
-        return response.json()
-    except requests.RequestException as e:
-        print(f"Error: API request failed. {e}")
-        sys.exit(1)
-
-
-def process_check_runs(check_runs: List[Dict]) -> Tuple[bool, bool]:
-    """Process check runs and return their status."""
-    runs_in_progress = False
-    all_others_passed = True
-
-    for run in check_runs:
-        if str(run["name"]) != "Check PR Status":
-            status = run["status"]
-            conclusion = run["conclusion"]
-
-            if status == "completed":
-                if conclusion not in ["success", "skipped", "neutral"]:
-                    all_others_passed = False
-                    print(
-                        f"Check run {run['name']} (ID: {run['id']}) has conclusion: {conclusion}"
-                    )
-            else:
-                runs_in_progress = True
-                print(f"Check run {run['name']} (ID: {run['id']}) is still {status}.")
-                all_others_passed = False
-        else:
-            print(
-                f"Skipping check run {run['name']} (ID: {run['id']}) as it is the current run."
-            )
-
-    return runs_in_progress, all_others_passed
-
-
-def main():
-    api_url, repo, sha, github_token, current_run_id = get_environment_variables()
-
-    endpoint = f"{api_url}/repos/{repo}/commits/{sha}/check-runs"
-    headers = {
-        "Accept": "application/vnd.github.v3+json",
-    }
-    if github_token:
-        headers["Authorization"] = f"token {github_token}"
-
-    print(f"Current run ID: {current_run_id}")
-
-    while True:
-        data = make_api_request(endpoint, headers)
-
-        check_runs = data["check_runs"]
-
-        print("Processing check runs...")
-
-        print(check_runs)
-
-        runs_in_progress, all_others_passed = process_check_runs(check_runs)
-
-        if not runs_in_progress:
-            break
-
-        print(
-            "Some check runs are still in progress. "
-            f"Waiting {CHECK_INTERVAL} seconds before checking again..."
-        )
-        time.sleep(CHECK_INTERVAL)
-
-    if all_others_passed:
-        print("All other completed check runs have passed. This check passes.")
-        sys.exit(0)
-    else:
-        print("Some check runs have failed or have not completed. This check fails.")
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()

.github/workflows/scripts/get_package_version_from_lockfile.py

@@ -1,60 +0,0 @@
-#!/usr/bin/env python3
-import sys
-
-if sys.version_info < (3, 11):
-    print("Python version 3.11 or higher required")
-    sys.exit(1)
-
-import tomllib
-
-
-def get_package_version(package_name: str, lockfile_path: str) -> str | None:
-    """Extract package version from poetry.lock file."""
-    try:
-        if lockfile_path == "-":
-            data = tomllib.load(sys.stdin.buffer)
-        else:
-            with open(lockfile_path, "rb") as f:
-                data = tomllib.load(f)
-    except FileNotFoundError:
-        print(f"Error: File '{lockfile_path}' not found", file=sys.stderr)
-        sys.exit(1)
-    except tomllib.TOMLDecodeError as e:
-        print(f"Error parsing TOML file: {e}", file=sys.stderr)
-        sys.exit(1)
-    except Exception as e:
-        print(f"Error reading file: {e}", file=sys.stderr)
-        sys.exit(1)
-
-    # Look for the package in the packages list
-    packages = data.get("package", [])
-    for package in packages:
-        if package.get("name", "").lower() == package_name.lower():
-            return package.get("version")
-
-    return None
-
-
-def main():
-    if len(sys.argv) not in (2, 3):
-        print(
-            "Usages: python get_package_version_from_lockfile.py <package name> [poetry.lock path]\n"
-            "        cat poetry.lock | python get_package_version_from_lockfile.py <package name> -",
-            file=sys.stderr,
-        )
-        sys.exit(1)
-
-    package_name = sys.argv[1]
-    lockfile_path = sys.argv[2] if len(sys.argv) == 3 else "poetry.lock"
-
-    version = get_package_version(package_name, lockfile_path)
-
-    if version:
-        print(version)
-    else:
-        print(f"Package '{package_name}' not found in {lockfile_path}", file=sys.stderr)
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()

.gitignore

@@ -1,13 +1,12 @@
 ## Original ignores
-.github_access_token
-classic/original_autogpt/keys.py
-classic/original_autogpt/*.json
+autogpt/keys.py
+autogpt/*.json
 auto_gpt_workspace/*
 *.mpeg
 .env
-# Root .env files
-/.env
 azure.yaml
+ai_settings.yaml
+last_run_ai_settings.yaml
 .vscode
 .idea/*
 auto-gpt.json
@@ -29,11 +28,15 @@ __pycache__/
 
 # Distribution / packaging
 .Python
+build/
 develop-eggs/
 dist/
+/plugins/
+plugins_config.yaml
 downloads/
 eggs/
 .eggs/
+lib/
 lib64/
 parts/
 sdist/
@@ -123,6 +126,7 @@ celerybeat.pid
 
 # Environments
 .direnv/
+.env
 .venv
 env/
 venv*/
@@ -158,24 +162,8 @@ openai/
 CURRENT_BULLETIN.md
 
 # AgBenchmark
-classic/benchmark/agbenchmark/reports/
+agbenchmark/reports/
 
 # Nodejs
 package-lock.json
-
-
-# Allow for locally private items
-# private
-pri*
-# ignore
-ig*
-.github_access_token
-LICENSE.rtf
-autogpt_platform/backend/settings.py
-/.auth
-/autogpt_platform/frontend/.auth
-
-*.ign.*
-.test-contents
-.claude/settings.local.json
-/autogpt_platform/backend/logs
+package.json

.gitmodules

@@ -1,3 +1,4 @@
-[submodule "classic/forge/tests/vcr_cassettes"]
-	path = classic/forge/tests/vcr_cassettes
-	url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes
+[submodule "tests/Auto-GPT-test-cassettes"]
+    path = tests/Auto-GPT-test-cassettes
+    url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes
+    branch = master

.isort.cfg

@@ -0,0 +1,10 @@
+[settings]
+profile = black
+multi_line_output = 3
+include_trailing_comma = true
+force_grid_wrap = 0
+use_parentheses = true
+ensure_newline_before_comments = true
+line_length = 88
+sections = FUTURE,STDLIB,THIRDPARTY,FIRSTPARTY,LOCALFOLDER
+skip = .tox,__pycache__,*.pyc,venv*/*,reports,venv,env,node_modules,.env,.venv,dist

.pr_agent.toml

@@ -1,3 +0,0 @@
-[pr_code_suggestions]
-commitable_code_suggestions=false
-num_code_suggestions=0

.pre-commit-config.yaml

@@ -3,276 +3,40 @@ repos:
     rev: v4.4.0
     hooks:
       - id: check-added-large-files
-        args: ["--maxkb=500"]
-      - id: fix-byte-order-marker
+        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/Yelp/detect-secrets
-    rev: v1.5.0
-    hooks:
-      - id: detect-secrets
-        name: Detect secrets
-        description: Detects high entropy strings that are likely to be passwords.
-        files: ^autogpt_platform/
-        stages: [pre-push]
-
-  - repo: local
-    # For proper type checking, all dependencies need to be up-to-date.
-    # It's also a good idea to check that poetry.lock is consistent with pyproject.toml.
-    hooks:
-      - id: poetry-install
-        name: Check & Install dependencies - AutoGPT Platform - Backend
-        alias: poetry-install-platform-backend
-        entry: poetry -C autogpt_platform/backend install
-        # include autogpt_libs source (since it's a path dependency)
-        files: ^autogpt_platform/(backend|autogpt_libs)/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - AutoGPT Platform - Libs
-        alias: poetry-install-platform-libs
-        entry: poetry -C autogpt_platform/autogpt_libs install
-        files: ^autogpt_platform/autogpt_libs/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - AutoGPT
-        alias: poetry-install-classic-autogpt
-        entry: poetry -C classic/original_autogpt install
-        # include forge source (since it's a path dependency)
-        files: ^classic/(original_autogpt|forge)/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - Forge
-        alias: poetry-install-classic-forge
-        entry: poetry -C classic/forge install
-        files: ^classic/forge/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - Benchmark
-        alias: poetry-install-classic-benchmark
-        entry: poetry -C classic/benchmark install
-        files: ^classic/benchmark/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  - repo: local
-    # For proper type checking, Prisma client must be up-to-date.
-    hooks:
-      - id: prisma-generate
-        name: Prisma Generate - AutoGPT Platform - Backend
-        alias: prisma-generate-platform-backend
-        entry: bash -c 'cd autogpt_platform/backend && poetry run prisma generate'
-        # include everything that triggers poetry install + the prisma schema
-        files: ^autogpt_platform/((backend|autogpt_libs)/poetry\.lock|backend/schema.prisma)$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.2
-    hooks:
-      - id: ruff
-        name: Lint (Ruff) - AutoGPT Platform - Backend
-        alias: ruff-lint-platform-backend
-        files: ^autogpt_platform/backend/
-        args: [--fix]
-
-      - id: ruff
-        name: Lint (Ruff) - AutoGPT Platform - Libs
-        alias: ruff-lint-platform-libs
-        files: ^autogpt_platform/autogpt_libs/
-        args: [--fix]
-
-      - id: ruff-format
-        name: Format (Ruff) - AutoGPT Platform - Libs
-        alias: ruff-lint-platform-libs
-        files: ^autogpt_platform/autogpt_libs/
-
-  - repo: local
-    # isort needs the context of which packages are installed to function, so we
-    # can't use a vendored isort pre-commit hook (which runs in its own isolated venv).
+  - repo: https://github.com/pycqa/isort
+    rev: 5.12.0
     hooks:
       - id: isort
-        name: Lint (isort) - AutoGPT Platform - Backend
-        alias: isort-platform-backend
-        entry: poetry -P autogpt_platform/backend run isort -p backend
-        files: ^autogpt_platform/backend/
-        types: [file, python]
-        language: system
-
-      - id: isort
-        name: Lint (isort) - Classic - AutoGPT
-        alias: isort-classic-autogpt
-        entry: poetry -P classic/original_autogpt run isort -p autogpt
-        files: ^classic/original_autogpt/
-        types: [file, python]
-        language: system
-
-      - id: isort
-        name: Lint (isort) - Classic - Forge
-        alias: isort-classic-forge
-        entry: poetry -P classic/forge run isort -p forge
-        files: ^classic/forge/
-        types: [file, python]
-        language: system
-
-      - id: isort
-        name: Lint (isort) - Classic - Benchmark
-        alias: isort-classic-benchmark
-        entry: poetry -P classic/benchmark run isort -p agbenchmark
-        files: ^classic/benchmark/
-        types: [file, python]
-        language: system
+        language_version: python3.10
 
   - repo: https://github.com/psf/black
-    rev: 24.10.0
-    # Black has sensible defaults, doesn't need package context, and ignores
-    # everything in .gitignore, so it works fine without any config or arguments.
+    rev: 23.3.0
     hooks:
       - id: black
-        name: Format (Black)
+        language_version: python3.10
 
-  - repo: https://github.com/PyCQA/flake8
-    rev: 7.0.0
-    # To have flake8 load the config of the individual subprojects, we have to call
-    # them separately.
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: 'v1.3.0'
     hooks:
-      - id: flake8
-        name: Lint (Flake8) - Classic - AutoGPT
-        alias: flake8-classic-autogpt
-        files: ^classic/original_autogpt/(autogpt|scripts|tests)/
-        args: [--config=classic/original_autogpt/.flake8]
-
-      - id: flake8
-        name: Lint (Flake8) - Classic - Forge
-        alias: flake8-classic-forge
-        files: ^classic/forge/(forge|tests)/
-        args: [--config=classic/forge/.flake8]
-
-      - id: flake8
-        name: Lint (Flake8) - Classic - Benchmark
-        alias: flake8-classic-benchmark
-        files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
-        args: [--config=classic/benchmark/.flake8]
+      - id: mypy
 
   - repo: local
     hooks:
-      - id: prettier
-        name: Format (Prettier) - AutoGPT Platform - Frontend
-        alias: format-platform-frontend
-        entry: bash -c 'cd autogpt_platform/frontend && npx prettier --write $(echo "$@" | sed "s|autogpt_platform/frontend/||g")' --
-        files: ^autogpt_platform/frontend/
-        types: [file]
-        language: system
-
-  - repo: local
-    # To have watertight type checking, we check *all* the files in an affected
-    # project. To trigger on poetry.lock we also reset the file `types` filter.
-    hooks:
-      - id: pyright
-        name: Typecheck - AutoGPT Platform - Backend
-        alias: pyright-platform-backend
-        entry: poetry -C autogpt_platform/backend run pyright
-        # include forge source (since it's a path dependency) but exclude *_test.py files:
-        files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
-        types: [file]
+      - id: autoflake
+        name: autoflake
+        entry: autoflake --in-place --remove-all-unused-imports --recursive --ignore-init-module-imports --ignore-pass-after-docstring autogpt tests
+        language: python
+        types: [ python ]
+      - id: pytest-check
+        name: pytest-check
+        entry: pytest --cov=autogpt tests/unit
         language: system
         pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - AutoGPT Platform - Libs
-        alias: pyright-platform-libs
-        entry: poetry -C autogpt_platform/autogpt_libs run pyright
-        files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - Classic - AutoGPT
-        alias: pyright-classic-autogpt
-        entry: poetry -C classic/original_autogpt run pyright
-        # include forge source (since it's a path dependency) but exclude *_test.py files:
-        files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - Classic - Forge
-        alias: pyright-classic-forge
-        entry: poetry -C classic/forge run pyright
-        files: ^classic/forge/(forge/|poetry\.lock$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - Classic - Benchmark
-        alias: pyright-classic-benchmark
-        entry: poetry -C classic/benchmark run pyright
-        files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  - repo: local
-    hooks:
-      - id: tsc
-        name: Typecheck - AutoGPT Platform - Frontend
-        entry: bash -c 'cd autogpt_platform/frontend && pnpm types'
-        files: ^autogpt_platform/frontend/
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  # - repo: local
-  #   hooks:
-  #     - id: pytest
-  #       name: Run tests - AutoGPT Platform - Backend
-  #       alias: pytest-platform-backend
-  #       entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
-  #       # include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
-  #       files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
-  #       language: system
-  #       pass_filenames: false
-
-  #     - id: pytest
-  #       name: Run tests - Classic - AutoGPT (excl. slow tests)
-  #       alias: pytest-classic-autogpt
-  #       entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
-  #       # include forge source (since it's a path dependency) but exclude *_test.py files:
-  #       files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
-  #       language: system
-  #       pass_filenames: false
-
-  #     - id: pytest
-  #       name: Run tests - Classic - Forge (excl. slow tests)
-  #       alias: pytest-classic-forge
-  #       entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
-  #       files: ^classic/forge/(forge/|tests/|poetry\.lock$)
-  #       language: system
-  #       pass_filenames: false
-
-  #     - id: pytest
-  #       name: Run tests - Classic - Benchmark
-  #       alias: pytest-classic-benchmark
-  #       entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
-  #       files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
-  #       language: system
-  #       pass_filenames: false
+        always_run: true

.vscode/all-projects.code-workspace

@@ -1,62 +0,0 @@
-{
-  "folders": [
-    {
-      "name": "frontend",
-      "path": "../autogpt_platform/frontend"
-    },
-    {
-      "name": "backend",
-      "path": "../autogpt_platform/backend"
-    },
-    {
-      "name": "market",
-      "path": "../autogpt_platform/market"
-    },
-    {
-      "name": "lib",
-      "path": "../autogpt_platform/autogpt_libs"
-    },
-    {
-      "name": "infra",
-      "path": "../autogpt_platform/infra"
-    },
-    {
-      "name": "docs",
-      "path": "../docs"
-    },
-
-    {
-      "name": "classic - autogpt",
-      "path": "../classic/original_autogpt"
-    },
-    {
-      "name": "classic - benchmark",
-      "path": "../classic/benchmark"
-    },
-    {
-      "name": "classic - forge",
-      "path": "../classic/forge"
-    },
-    {
-      "name": "classic - frontend",
-      "path": "../classic/frontend"
-    },
-    {
-      "name": "[root]",
-      "path": ".."
-    }
-  ],
-  "settings": {
-    "python.analysis.typeCheckingMode": "basic"
-  },
-  "extensions": {
-    "recommendations": [
-      "charliermarsh.ruff",
-      "dart-code.flutter",
-      "ms-python.black-formatter",
-      "ms-python.vscode-pylance",
-      "prisma.prisma",
-      "qwtel.sqlite-viewer"
-    ]
-  }
-}

.vscode/launch.json

@@ -1,67 +0,0 @@
-{
-  "version": "0.2.0",
-  "configurations": [
-    {
-      "name": "Frontend: Server Side",
-      "type": "node-terminal",
-      "request": "launch",
-      "cwd": "${workspaceFolder}/autogpt_platform/frontend",
-      "command": "pnpm dev"
-    },
-    {
-      "name": "Frontend: Client Side",
-      "type": "msedge",
-      "request": "launch",
-      "url": "http://localhost:3000"
-    },
-    {
-      "name": "Frontend: Full Stack",
-      "type": "node-terminal",
-
-      "request": "launch",
-      "command": "pnpm dev",
-      "cwd": "${workspaceFolder}/autogpt_platform/frontend",
-      "serverReadyAction": {
-        "pattern": "- Local:.+(https?://.+)",
-        "uriFormat": "%s",
-        "action": "debugWithChrome"
-      }
-    },
-    {
-      "name": "Backend",
-      "type": "debugpy",
-      "request": "launch",
-      "module": "backend.app",
-      "env": {
-        "OBJC_DISABLE_INITIALIZE_FORK_SAFETY": "YES"
-      },
-      "envFile": "${workspaceFolder}/backend/.env",
-      "justMyCode": false,
-      "cwd": "${workspaceFolder}/autogpt_platform/backend"
-    },
-    {
-      "name": "Marketplace",
-      "type": "debugpy",
-      "request": "launch",
-      "module": "autogpt_platform.market.main",
-      "env": {
-        "ENV": "dev"
-      },
-      "envFile": "${workspaceFolder}/market/.env",
-      "justMyCode": false,
-      "cwd": "${workspaceFolder}/market"
-    }
-  ],
-  "compounds": [
-    {
-      "name": "Everything",
-      "configurations": ["Backend", "Frontend: Full Stack"],
-      // "preLaunchTask": "${defaultBuildTask}",
-      "stopAll": true,
-      "presentation": {
-        "hidden": false,
-        "order": 0
-      }
-    }
-  ]
-}

AGENTS.md

@@ -1,53 +0,0 @@
-# AutoGPT Platform Contribution Guide
-
-This guide provides context for Codex when updating the **autogpt_platform** folder.
-
-## Directory overview
-
-- `autogpt_platform/backend` – FastAPI based backend service.
-- `autogpt_platform/autogpt_libs` – Shared Python libraries.
-- `autogpt_platform/frontend` – Next.js + Typescript frontend.
-- `autogpt_platform/docker-compose.yml` – development stack.
-
-See `docs/content/platform/getting-started.md` for setup instructions.
-
-## Code style
-
-- Format Python code with `poetry run format`.
-- Format frontend code using `pnpm format`.
-
-## Testing
-
-- Backend: `poetry run test` (runs pytest with a docker based postgres + prisma).
-- Frontend: `pnpm test` or `pnpm test-ui` for Playwright tests. See `docs/content/platform/contributing/tests.md` for tips.
-
-Always run the relevant linters and tests before committing.
-Use conventional commit messages for all commits (e.g. `feat(backend): add API`).
-  Types:
-    - feat
-    - fix
-    - refactor
-    - ci
-    - dx (developer experience)
-  Scopes:
-    - platform
-      - platform/library
-      - platform/marketplace
-      - backend
-        - backend/executor
-      - frontend
-        - frontend/library
-        - frontend/marketplace
-      - blocks
-
-## Pull requests
-
-- Use the template in `.github/PULL_REQUEST_TEMPLATE.md`.
-- Rely on the pre-commit checks for linting and formatting
-- Fill out the **Changes** section and the checklist.
-- Use conventional commit titles with a scope (e.g. `feat(frontend): add feature`).
-- Keep out-of-scope changes under 20% of the PR.
-- Ensure PR descriptions are complete.
-- For changes touching `data/*.py`, validate user ID checks or explain why not needed.
-- If adding protected frontend routes, update `frontend/lib/supabase/middleware.ts`.
-- Use the linear ticket branch structure if given codex/open-1668-resume-dropped-runs

BULLETIN.md

@@ -0,0 +1,21 @@
+# QUICK LINKS 🔗
+# --------------
+🌎 *Official Website*: https://agpt.co.
+📖 *User Guide*: https://docs.agpt.co.
+👩 *Contributors Wiki*: https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing.
+
+# v0.4.7 RELEASE HIGHLIGHTS! 🚀
+# -----------------------------
+This release introduces initial REST API support, powered by e2b's agent 
+protocol SDK (https://github.com/e2b-dev/agent-protocol#sdk). 
+
+It also includes improvements to prompt generation and support 
+for our new benchmarking tool, Auto-GPT-Benchmarks
+(https://github.com/Significant-Gravitas/Auto-GPT-Benchmarks).
+
+We've also moved our documentation to Material Theme, at https://docs.agpt.co.
+
+As usual, we've squashed a few bugs and made some under-the-hood improvements.
+
+Take a look at the Release Notes on Github for the full changelog:
+https://github.com/Significant-Gravitas/Auto-GPT/releases.

CITATION.cff

@@ -1,21 +0,0 @@
-# This CITATION.cff file was generated with cffinit.
-# Visit https://bit.ly/cffinit to generate yours today!
-
-cff-version: 1.2.0
-title: AutoGPT
-message: >-
-  If you use this software, please cite it using the
-  metadata from this file.
-type: software
-authors:
-  - name: Significant Gravitas
-    website: 'https://agpt.co'
-repository-code: 'https://github.com/Significant-Gravitas/AutoGPT'
-url: 'https://agpt.co'
-abstract: >-
-  A collection of tools and experimental open-source attempts to make GPT-4 fully
-  autonomous.
-keywords:
-  - AI
-  - Agent
-license: MIT

CODE_OF_CONDUCT.md

@@ -1,12 +1,12 @@
-# Code of Conduct for AutoGPT
+# Code of Conduct for Auto-GPT
 
 ## 1. Purpose
 
-The purpose of this Code of Conduct is to provide guidelines for contributors to the AutoGPT projects 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.
+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 AutoGPT 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.
+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
 
@@ -36,5 +36,4 @@ This Code of Conduct is adapted from the [Contributor Covenant](https://www.cont
 
 ## 6. Contact
 
-If you have any questions or concerns, please contact the project maintainers on Discord:
-https://discord.gg/autogpt
+If you have any questions or concerns, please contact the project maintainers.

CONTRIBUTING.md

@@ -1,38 +1,14 @@
-# AutoGPT Contribution Guide
-If you are reading this, you are probably looking for the full **[contribution guide]**,
-which is part of our [wiki].
+We maintain a knowledgebase at this [wiki](https://github.com/Significant-Gravitas/Nexus/wiki)
 
-[contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
-[wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
-[roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
-[kanban board]: https://github.com/orgs/Significant-Gravitas/projects/1
+We would like to say "We value all contributions". After all, we are an open-source project, so we should say something fluffy like this, right?
 
-## Contributing to the AutoGPT Platform Folder
-All contributions to [the autogpt_platform folder](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform) will be under our [Contribution License Agreement](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/Contributor%20License%20Agreement%20(CLA).md). By making a pull request contributing to this folder, you agree to the terms of our CLA for your contribution. All contributions to other folders will be under the MIT license.
+However the reality is that some contributions are SUPER-valuable, while others create more trouble than they are worth and actually _create_ work for the core team.
 
-## In short
-1. Avoid duplicate work, issues, PRs etc.
-2. We encourage you to collaborate with fellow community members on some of our bigger
-   [todo's][roadmap]!
-   * We highly recommend to post your idea and discuss it in the [dev channel].
-3. Create a draft PR when starting work on bigger changes.
-4. Adhere to the [Code Guidelines]
-5. Clearly explain your changes when submitting a PR.
-6. Don't submit broken code: test/validate your changes.
-7. Avoid making unnecessary changes, especially if they're purely based on your personal
-   preferences. Doing so is the maintainers' job. ;-)
-8. Please also consider contributing something other than code; see the
-   [contribution guide] for options.
+If you wish to contribute, please look through the wiki [contributing](https://github.com/Significant-Gravitas/Nexus/wiki/Contributing) page.
 
-[dev channel]: https://discord.com/channels/1092243196446249134/1095817829405704305
-[code guidelines]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing#code-guidelines
+If you wish to involve with the project (beyond just contributing PRs), please read the wiki [catalyzing](https://github.com/Significant-Gravitas/Nexus/wiki/Catalyzing) page.
 
-If you wish to involve with the project (beyond just contributing PRs), please read the
-wiki page about [Catalyzing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Catalyzing).
-
-In fact, why not just look through the whole wiki (it's only a few pages) and
-hop on our Discord. See you there! :-)
+In fact, why not just look through the whole wiki (it's only a few pages) and hop on our discord (you'll find it in the wiki).
 
 ❤️ & 🔆
-The team @ AutoGPT
-https://discord.gg/autogpt
+The team @ Auto-GPT

Dockerfile

@@ -0,0 +1,46 @@
+# 'dev' or 'release' container build
+ARG BUILD_TYPE=dev
+
+# Use an official Python base image from the Docker Hub
+FROM python:3.10-slim AS autogpt-base
+
+# Install browsers
+RUN apt-get update && apt-get install -y \
+    chromium-driver firefox-esr ca-certificates \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# Install utilities
+RUN apt-get update && apt-get install -y \
+    curl jq wget git \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# Set environment variables
+ENV PIP_NO_CACHE_DIR=yes \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1
+
+# Install the required python packages globally
+ENV PATH="$PATH:/root/.local/bin"
+COPY requirements.txt .
+
+# Set the entrypoint
+ENTRYPOINT ["python", "-m", "autogpt", "--install-plugin-deps"]
+
+# dev build -> include everything
+FROM autogpt-base as autogpt-dev
+RUN pip install --no-cache-dir -r requirements.txt
+WORKDIR /app
+ONBUILD COPY . ./
+
+# release build -> include bare minimum
+FROM autogpt-base as autogpt-release
+RUN sed -i '/Items below this point will not be included in the Docker Image/,$d' requirements.txt && \
+	pip install --no-cache-dir -r requirements.txt
+WORKDIR /app
+ONBUILD COPY autogpt/ ./autogpt
+ONBUILD COPY scripts/ ./scripts
+ONBUILD COPY plugins/ ./plugins
+ONBUILD COPY prompt_settings.yaml ./prompt_settings.yaml
+ONBUILD RUN mkdir ./data
+
+FROM autogpt-${BUILD_TYPE} AS auto-gpt

LICENSE

@@ -1,204 +1,7 @@
-All portions of this repository are under one of two licenses. 
-
-- Everything inside the autogpt_platform folder is under the Polyform Shield License.
-- Everything outside the autogpt_platform folder is under the MIT License. 
-
-More info:
-
-**Polyform Shield License:**
-Code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.
-Read more about this effort here: https://agpt.co/blog/introducing-the-autogpt-platform
-
-**MIT License:**
-All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes:
-- The Original, stand-alone AutoGPT Agent
-- Forge: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge
-- AG Benchmark: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark
-- AutoGPT Classic GUI: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend.
-
-We also publish additional work under the MIT Licence in other repositories, such as GravitasML (https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform, and our [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
-
-Both licences are available to read below:
-
-=====================================================
------------------------------------------------------
-=====================================================
-
-# PolyForm Shield License 1.0.0
-
-<https://polyformproject.org/licenses/shield/1.0.0>
-
-## Acceptance
-
-In order to get any license under these terms, you must agree
-to them as both strict obligations and conditions to all
-your licenses.
-
-## Copyright License
-
-The licensor grants you a copyright license for the
-software to do everything you might do with the software
-that would otherwise infringe the licensor's copyright
-in it for any permitted purpose.  However, you may
-only distribute the software according to [Distribution
-License](#distribution-license) and make changes or new works
-based on the software according to [Changes and New Works
-License](#changes-and-new-works-license).
-
-## Distribution License
-
-The licensor grants you an additional copyright license
-to distribute copies of the software.  Your license
-to distribute covers distributing the software with
-changes and new works permitted by [Changes and New Works
-License](#changes-and-new-works-license).
-
-## Notices
-
-You must ensure that anyone who gets a copy of any part of
-the software from you also gets a copy of these terms or the
-URL for them above, as well as copies of any plain-text lines
-beginning with `Required Notice:` that the licensor provided
-with the software.  For example:
-
-> Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
-
-## Changes and New Works License
-
-The licensor grants you an additional copyright license to
-make changes and new works based on the software for any
-permitted purpose.
-
-## Patent License
-
-The licensor grants you a patent license for the software that
-covers patent claims the licensor can license, or becomes able
-to license, that you would infringe by using the software.
-
-## Noncompete
-
-Any purpose is a permitted purpose, except for providing any
-product that competes with the software or any product the
-licensor or any of its affiliates provides using the software.
-
-## Competition
-
-Goods and services compete even when they provide functionality
-through different kinds of interfaces or for different technical
-platforms.  Applications can compete with services, libraries
-with plugins, frameworks with development tools, and so on,
-even if they're written in different programming languages
-or for different computer architectures.  Goods and services
-compete even when provided free of charge.  If you market a
-product as a practical substitute for the software or another
-product, it definitely competes.
-
-## New Products
-
-If you are using the software to provide a product that does
-not compete, but the licensor or any of its affiliates brings
-your product into competition by providing a new version of
-the software or another product using the software, you may
-continue using versions of the software available under these
-terms beforehand to provide your competing product, but not
-any later versions.
-
-## Discontinued Products
-
-You may begin using the software to compete with a product
-or service that the licensor or any of its affiliates has
-stopped providing, unless the licensor includes a plain-text
-line beginning with `Licensor Line of Business:` with the
-software that mentions that line of business.  For example:
-
-> Licensor Line of Business: YoyodyneCMS Content Management
-System (http://example.com/cms)
-
-## Sales of Business
-
-If the licensor or any of its affiliates sells a line of
-business developing the software or using the software
-to provide a product, the buyer can also enforce
-[Noncompete](#noncompete) for that product.
-
-## Fair Use
-
-You may have "fair use" rights for the software under the
-law. These terms do not limit them.
-
-## No Other Rights
-
-These terms do not allow you to sublicense or transfer any of
-your licenses to anyone else, or prevent the licensor from
-granting licenses to anyone else.  These terms do not imply
-any other licenses.
-
-## Patent Defense
-
-If you make any written claim that the software infringes or
-contributes to infringement of any patent, your patent license
-for the software granted under these terms ends immediately. If
-your company makes such a claim, your patent license ends
-immediately for work on behalf of your company.
-
-## Violations
-
-The first time you are notified in writing that you have
-violated any of these terms, or done anything with the software
-not covered by your licenses, your licenses can nonetheless
-continue if you come into full compliance with these terms,
-and take practical steps to correct past violations, within
-32 days of receiving notice.  Otherwise, all your licenses
-end immediately.
-
-## No Liability
-
-***As far as the law allows, the software comes as is, without
-any warranty or condition, and the licensor will not be liable
-to you for any damages arising out of these terms or the use
-or nature of the software, under any kind of legal claim.***
-
-## Definitions
-
-The **licensor** is the individual or entity offering these
-terms, and the **software** is the software the licensor makes
-available under these terms.
-
-A **product** can be a good or service, or a combination
-of them.
-
-**You** refers to the individual or entity agreeing to these
-terms.
-
-**Your company** is any legal entity, sole proprietorship,
-or other kind of organization that you work for, plus all
-its affiliates.
-
-**Affiliates** means the other organizations than an
-organization has control over, is under the control of, or is
-under common control with.
-
-**Control** means ownership of substantially all the assets of
-an entity, or the power to direct its management and policies
-by vote, contract, or otherwise.  Control can be direct or
-indirect.
-
-**Your licenses** are all the licenses granted to you for the
-software under these terms.
-
-**Use** means anything you do with the software requiring one
-of your licenses.
-
-=====================================================
------------------------------------------------------
-=====================================================
-
 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
@@ -206,11 +9,9 @@ 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

SECURITY.md

@@ -1,48 +0,0 @@
-# Security Policy
-
-## Reporting Security Issues
-
-We take the security of our project seriously. If you believe you have found a security vulnerability, please report it to us privately. **Please do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.**
-
-> **Important Note**: Any code within the `classic/` folder is considered legacy, unsupported, and out of scope for security reports. We will not address security vulnerabilities in this deprecated code.
-
-Instead, please report them via:
-- [GitHub Security Advisory](https://github.com/Significant-Gravitas/AutoGPT/security/advisories/new)
-<!--- [Huntr.dev](https://huntr.com/repos/significant-gravitas/autogpt) - where you may be eligible for a bounty-->
-
-### Reporting Process
-1. **Submit Report**: Use one of the above channels to submit your report
-2. **Response Time**: Our team will acknowledge receipt of your report within 14 business days.
-3. **Collaboration**: We will collaborate with you to understand and validate the issue
-4. **Resolution**: We will work on a fix and coordinate the release process
-
-### Disclosure Policy
-- Please provide detailed reports with reproducible steps
-- Include the version/commit hash where you discovered the vulnerability
-- Allow us a 90-day security fix window before any public disclosure
-- After patch is released, allow 30 days for users to update before public disclosure (for a total of 120 days max between update time and fix time)
-- Share any potential mitigations or workarounds if known
-
-## Supported Versions
-Only the following versions are eligible for security updates:
-
-| Version | Supported |
-|---------|-----------|
-| Latest release on master branch | ✅ |
-| Development commits (pre-master) | ✅ |
-| Classic folder (deprecated) | ❌ |
-| All other versions | ❌ |
-
-## Security Best Practices
-When using this project:
-1. Always use the latest stable version
-2. Review security advisories before updating
-3. Follow our security documentation and guidelines
-4. Keep your dependencies up to date
-5. Do not use code from the `classic/` folder as it is deprecated and unsupported
-
-## Past Security Advisories
-For a list of past security advisories, please visit our [Security Advisory Page](https://github.com/Significant-Gravitas/AutoGPT/security/advisories) and [Huntr Disclosures Page](https://huntr.com/repos/significant-gravitas/autogpt).
-
----
-Last updated: November 2024

agbenchmark/benchmarks.py

@@ -0,0 +1,54 @@
+import os
+import sys
+from pathlib import Path
+from typing import Tuple
+
+from autogpt.agents import Agent
+from autogpt.app.main import run_interaction_loop
+from autogpt.commands import COMMAND_CATEGORIES
+from autogpt.config import AIConfig, Config, ConfigBuilder
+from autogpt.memory.vector import get_memory
+from autogpt.models.command_registry import CommandRegistry
+from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
+from autogpt.workspace import Workspace
+
+PROJECT_DIR = Path().resolve()
+
+
+def run_specific_agent(task, continuous_mode=False) -> Tuple[str, int]:
+    agent = bootstrap_agent(task, continuous_mode)
+    run_interaction_loop(agent)
+
+
+def bootstrap_agent(task, continuous_mode) -> Agent:
+    config = ConfigBuilder.build_config_from_env(workdir=PROJECT_DIR)
+    config.debug_mode = True
+    config.continuous_mode = continuous_mode
+    config.temperature = 0
+    config.plain_output = True
+    command_registry = CommandRegistry.with_command_modules(COMMAND_CATEGORIES, config)
+    config.memory_backend = "no_memory"
+    config.workspace_path = Workspace.init_workspace_directory(config)
+    config.file_logger_path = Workspace.build_file_logger_path(config.workspace_path)
+    ai_config = AIConfig(
+        ai_name="Auto-GPT",
+        ai_role="a multi-purpose AI assistant.",
+        ai_goals=[task],
+    )
+    ai_config.command_registry = command_registry
+    return Agent(
+        memory=get_memory(config),
+        command_registry=command_registry,
+        ai_config=ai_config,
+        config=config,
+        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
+    )
+
+
+if __name__ == "__main__":
+    # The first argument is the script name itself, second is the task
+    if len(sys.argv) != 2:
+        print("Usage: python script.py <task>")
+        sys.exit(1)
+    task = sys.argv[1]
+    run_specific_agent(task, continuous_mode=True)

agbenchmark/config.json

@@ -0,0 +1,4 @@
+{
+  "workspace": "auto_gpt_workspace",
+  "entry_path": "agbenchmark.benchmarks"
+}

agbenchmark/regression_tests.json

@@ -0,0 +1,24 @@
+{
+    "TestBasicCodeGeneration": {
+        "difficulty": "basic",
+        "dependencies": [
+            "TestWriteFile"
+        ],
+        "data_path": "agbenchmark/challenges/code/d3"
+    },
+    "TestBasicMemory": {
+        "difficulty": "basic",
+        "data_path": "agbenchmark/challenges/memory/m1"
+    },
+    "TestReadFile": {
+        "difficulty": "basic",
+        "dependencies": [
+            "TestWriteFile"
+        ],
+        "data_path": "agbenchmark/challenges/interface/read_file"
+    },
+    "TestWriteFile": {
+        "dependencies": [],
+        "data_path": "agbenchmark/challenges/interface/write_file"
+    }
+}

autogpt/__init__.py

@@ -2,6 +2,13 @@ import os
 import random
 import sys
 
+from dotenv import load_dotenv
+
 if "pytest" in sys.argv or "pytest" in sys.modules or os.getenv("CI"):
     print("Setting random seed to 42")
     random.seed(42)
+
+# Load the users .env file into environment variables
+load_dotenv(verbose=True, override=True)
+
+del load_dotenv

autogpt/__main__.py

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

autogpt/agents/__init__.py

@@ -0,0 +1,4 @@
+from .agent import Agent
+from .base import AgentThoughts, BaseAgent, CommandArgs, CommandName
+
+__all__ = ["BaseAgent", "Agent", "CommandName", "CommandArgs", "AgentThoughts"]

autogpt/agents/agent.py

@@ -0,0 +1,306 @@
+from __future__ import annotations
+
+import json
+import time
+from datetime import datetime
+from typing import TYPE_CHECKING, Any, Optional
+
+if TYPE_CHECKING:
+    from autogpt.config import AIConfig, Config
+    from autogpt.llm.base import ChatModelResponse, ChatSequence
+    from autogpt.memory.vector import VectorMemory
+    from autogpt.models.command_registry import CommandRegistry
+
+from autogpt.json_utils.utilities import extract_dict_from_response, validate_dict
+from autogpt.llm.api_manager import ApiManager
+from autogpt.llm.base import Message
+from autogpt.llm.utils import count_string_tokens
+from autogpt.logs import logger
+from autogpt.logs.log_cycle import (
+    CURRENT_CONTEXT_FILE_NAME,
+    FULL_MESSAGE_HISTORY_FILE_NAME,
+    NEXT_ACTION_FILE_NAME,
+    USER_INPUT_FILE_NAME,
+    LogCycleHandler,
+)
+from autogpt.workspace import Workspace
+
+from .base import AgentThoughts, BaseAgent, CommandArgs, CommandName
+
+
+class Agent(BaseAgent):
+    """Agent class for interacting with Auto-GPT."""
+
+    def __init__(
+        self,
+        ai_config: AIConfig,
+        command_registry: CommandRegistry,
+        memory: VectorMemory,
+        triggering_prompt: str,
+        config: Config,
+        cycle_budget: Optional[int] = None,
+    ):
+        super().__init__(
+            ai_config=ai_config,
+            command_registry=command_registry,
+            config=config,
+            default_cycle_instruction=triggering_prompt,
+            cycle_budget=cycle_budget,
+        )
+
+        self.memory = memory
+        """VectorMemoryProvider used to manage the agent's context (TODO)"""
+
+        self.workspace = Workspace(config.workspace_path, config.restrict_to_workspace)
+        """Workspace that the agent has access to, e.g. for reading/writing files."""
+
+        self.created_at = datetime.now().strftime("%Y%m%d_%H%M%S")
+        """Timestamp the agent was created; only used for structured debug logging."""
+
+        self.log_cycle_handler = LogCycleHandler()
+        """LogCycleHandler for structured debug logging."""
+
+    def construct_base_prompt(self, *args, **kwargs) -> ChatSequence:
+        if kwargs.get("prepend_messages") is None:
+            kwargs["prepend_messages"] = []
+
+        # Clock
+        kwargs["prepend_messages"].append(
+            Message("system", f"The current time and date is {time.strftime('%c')}"),
+        )
+
+        # Add budget information (if any) to prompt
+        api_manager = ApiManager()
+        if api_manager.get_total_budget() > 0.0:
+            remaining_budget = (
+                api_manager.get_total_budget() - api_manager.get_total_cost()
+            )
+            if remaining_budget < 0:
+                remaining_budget = 0
+
+            budget_msg = Message(
+                "system",
+                f"Your remaining API budget is ${remaining_budget:.3f}"
+                + (
+                    " BUDGET EXCEEDED! SHUT DOWN!\n\n"
+                    if remaining_budget == 0
+                    else " Budget very nearly exceeded! Shut down gracefully!\n\n"
+                    if remaining_budget < 0.005
+                    else " Budget nearly exceeded. Finish up.\n\n"
+                    if remaining_budget < 0.01
+                    else ""
+                ),
+            )
+            logger.debug(budget_msg)
+
+            if kwargs.get("append_messages") is None:
+                kwargs["append_messages"] = []
+            kwargs["append_messages"].append(budget_msg)
+
+        return super().construct_base_prompt(*args, **kwargs)
+
+    def on_before_think(self, *args, **kwargs) -> ChatSequence:
+        prompt = super().on_before_think(*args, **kwargs)
+
+        self.log_cycle_handler.log_count_within_cycle = 0
+        self.log_cycle_handler.log_cycle(
+            self.ai_config.ai_name,
+            self.created_at,
+            self.cycle_count,
+            self.history.raw(),
+            FULL_MESSAGE_HISTORY_FILE_NAME,
+        )
+        self.log_cycle_handler.log_cycle(
+            self.ai_config.ai_name,
+            self.created_at,
+            self.cycle_count,
+            prompt.raw(),
+            CURRENT_CONTEXT_FILE_NAME,
+        )
+        return prompt
+
+    def execute(
+        self,
+        command_name: str | None,
+        command_args: dict[str, str] | None,
+        user_input: str | None,
+    ) -> str:
+        # Execute command
+        if command_name is not None and command_name.lower().startswith("error"):
+            result = f"Could not execute command: {command_name}{command_args}"
+        elif command_name == "human_feedback":
+            result = f"Human feedback: {user_input}"
+            self.log_cycle_handler.log_cycle(
+                self.ai_config.ai_name,
+                self.created_at,
+                self.cycle_count,
+                user_input,
+                USER_INPUT_FILE_NAME,
+            )
+
+        else:
+            for plugin in self.config.plugins:
+                if not plugin.can_handle_pre_command():
+                    continue
+                command_name, arguments = plugin.pre_command(command_name, command_args)
+            command_result = execute_command(
+                command_name=command_name,
+                arguments=command_args,
+                agent=self,
+            )
+            result = f"Command {command_name} returned: " f"{command_result}"
+
+            result_tlength = count_string_tokens(str(command_result), self.llm.name)
+            memory_tlength = count_string_tokens(
+                str(self.history.summary_message()), self.llm.name
+            )
+            if result_tlength + memory_tlength > self.send_token_limit:
+                result = f"Failure: command {command_name} returned too much output. \
+                    Do not execute this command again with the same arguments."
+
+            for plugin in self.config.plugins:
+                if not plugin.can_handle_post_command():
+                    continue
+                result = plugin.post_command(command_name, result)
+        # Check if there's a result from the command append it to the message
+        if result is None:
+            self.history.add("system", "Unable to execute command", "action_result")
+        else:
+            self.history.add("system", result, "action_result")
+
+        return result
+
+    def parse_and_process_response(
+        self, llm_response: ChatModelResponse, *args, **kwargs
+    ) -> tuple[CommandName | None, CommandArgs | None, AgentThoughts]:
+        if not llm_response.content:
+            raise SyntaxError("Assistant response has no text content")
+
+        assistant_reply_dict = extract_dict_from_response(llm_response.content)
+
+        valid, errors = validate_dict(assistant_reply_dict, self.config)
+        if not valid:
+            raise SyntaxError(
+                "Validation of response failed:\n  "
+                + ";\n  ".join([str(e) for e in errors])
+            )
+
+        for plugin in self.config.plugins:
+            if not plugin.can_handle_post_planning():
+                continue
+            assistant_reply_dict = plugin.post_planning(assistant_reply_dict)
+
+        response = None, None, assistant_reply_dict
+
+        # Print Assistant thoughts
+        if assistant_reply_dict != {}:
+            # Get command name and arguments
+            try:
+                command_name, arguments = extract_command(
+                    assistant_reply_dict, llm_response, self.config
+                )
+                response = command_name, arguments, assistant_reply_dict
+            except Exception as e:
+                logger.error("Error: \n", str(e))
+
+        self.log_cycle_handler.log_cycle(
+            self.ai_config.ai_name,
+            self.created_at,
+            self.cycle_count,
+            assistant_reply_dict,
+            NEXT_ACTION_FILE_NAME,
+        )
+        return response
+
+
+def extract_command(
+    assistant_reply_json: dict, assistant_reply: ChatModelResponse, config: Config
+) -> tuple[str, dict[str, str]]:
+    """Parse the response and return the command name and arguments
+
+    Args:
+        assistant_reply_json (dict): The response object from the AI
+        assistant_reply (ChatModelResponse): The model response from the AI
+        config (Config): The config object
+
+    Returns:
+        tuple: The command name and arguments
+
+    Raises:
+        json.decoder.JSONDecodeError: If the response is not valid JSON
+
+        Exception: If any other error occurs
+    """
+    if config.openai_functions:
+        if assistant_reply.function_call is None:
+            return "Error:", {"message": "No 'function_call' in assistant reply"}
+        assistant_reply_json["command"] = {
+            "name": assistant_reply.function_call.name,
+            "args": json.loads(assistant_reply.function_call.arguments),
+        }
+    try:
+        if "command" not in assistant_reply_json:
+            return "Error:", {"message": "Missing 'command' object in JSON"}
+
+        if not isinstance(assistant_reply_json, dict):
+            return (
+                "Error:",
+                {
+                    "message": f"The previous message sent was not a dictionary {assistant_reply_json}"
+                },
+            )
+
+        command = assistant_reply_json["command"]
+        if not isinstance(command, dict):
+            return "Error:", {"message": "'command' object is not a dictionary"}
+
+        if "name" not in command:
+            return "Error:", {"message": "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:", {"message": "Invalid JSON"}
+    # All other errors, return "Error: + error message"
+    except Exception as e:
+        return "Error:", {"message": str(e)}
+
+
+def execute_command(
+    command_name: str,
+    arguments: dict[str, str],
+    agent: Agent,
+) -> Any:
+    """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
+        agent (Agent): The agent that is executing the command
+
+    Returns:
+        str: The result of the command
+    """
+    try:
+        # Execute a native command with the same name or alias, if it exists
+        if command := agent.command_registry.get_command(command_name):
+            return command(**arguments, agent=agent)
+
+        # Handle non-native commands (e.g. from plugins)
+        for command in agent.ai_config.prompt_generator.commands:
+            if (
+                command_name == command.label.lower()
+                or command_name == command.name.lower()
+            ):
+                return command.function(**arguments)
+
+        raise RuntimeError(
+            f"Cannot execute '{command_name}': unknown command."
+            " Do not try to use this command again."
+        )
+    except Exception as e:
+        return f"Error: {str(e)}"

autogpt/agents/base.py

@@ -0,0 +1,408 @@
+from __future__ import annotations
+
+import re
+from abc import ABCMeta, abstractmethod
+from typing import TYPE_CHECKING, Any, Literal, Optional
+
+if TYPE_CHECKING:
+    from autogpt.config import AIConfig, Config
+
+    from autogpt.models.command_registry import CommandRegistry
+
+from autogpt.llm.base import ChatModelResponse, ChatSequence, Message
+from autogpt.llm.providers.openai import OPEN_AI_CHAT_MODELS, get_openai_command_specs
+from autogpt.llm.utils import count_message_tokens, create_chat_completion
+from autogpt.logs import logger
+from autogpt.memory.message_history import MessageHistory
+from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
+
+CommandName = str
+CommandArgs = dict[str, str]
+AgentThoughts = dict[str, Any]
+
+
+class BaseAgent(metaclass=ABCMeta):
+    """Base class for all Auto-GPT agents."""
+
+    ThoughtProcessID = Literal["one-shot"]
+
+    def __init__(
+        self,
+        ai_config: AIConfig,
+        command_registry: CommandRegistry,
+        config: Config,
+        big_brain: bool = True,
+        default_cycle_instruction: str = DEFAULT_TRIGGERING_PROMPT,
+        cycle_budget: Optional[int] = 1,
+        send_token_limit: Optional[int] = None,
+        summary_max_tlength: Optional[int] = None,
+    ):
+        self.ai_config = ai_config
+        """The AIConfig or "personality" object associated with this agent."""
+
+        self.command_registry = command_registry
+        """The registry containing all commands available to the agent."""
+
+        self.config = config
+        """The applicable application configuration."""
+
+        self.big_brain = big_brain
+        """
+        Whether this agent uses the configured smart LLM (default) to think,
+        as opposed to the configured fast LLM.
+        """
+
+        self.default_cycle_instruction = default_cycle_instruction
+        """The default instruction passed to the AI for a thinking cycle."""
+
+        self.cycle_budget = cycle_budget
+        """
+        The number of cycles that the agent is allowed to run unsupervised.
+
+        `None` for unlimited continuous execution,
+        `1` to require user approval for every step,
+        `0` to stop the agent.
+        """
+
+        self.cycles_remaining = cycle_budget
+        """The number of cycles remaining within the `cycle_budget`."""
+
+        self.cycle_count = 0
+        """The number of cycles that the agent has run since its initialization."""
+
+        self.system_prompt = ai_config.construct_full_prompt(config)
+        """
+        The system prompt sets up the AI's personality and explains its goals,
+        available resources, and restrictions.
+        """
+
+        llm_name = self.config.smart_llm if self.big_brain else self.config.fast_llm
+        self.llm = OPEN_AI_CHAT_MODELS[llm_name]
+        """The LLM that the agent uses to think."""
+
+        self.send_token_limit = send_token_limit or self.llm.max_tokens * 3 // 4
+        """
+        The token limit for prompt construction. Should leave room for the completion;
+        defaults to 75% of `llm.max_tokens`.
+        """
+
+        self.history = MessageHistory(
+            self.llm,
+            max_summary_tlength=summary_max_tlength or self.send_token_limit // 6,
+        )
+
+    def think(
+        self,
+        instruction: Optional[str] = None,
+        thought_process_id: ThoughtProcessID = "one-shot",
+    ) -> tuple[CommandName | None, CommandArgs | None, AgentThoughts]:
+        """Runs the agent for one cycle.
+
+        Params:
+            instruction: The instruction to put at the end of the prompt.
+
+        Returns:
+            The command name and arguments, if any, and the agent's thoughts.
+        """
+
+        instruction = instruction or self.default_cycle_instruction
+
+        prompt: ChatSequence = self.construct_prompt(instruction, thought_process_id)
+        prompt = self.on_before_think(prompt, thought_process_id, instruction)
+        raw_response = create_chat_completion(
+            prompt,
+            self.config,
+            functions=get_openai_command_specs(self.command_registry)
+            if self.config.openai_functions
+            else None,
+        )
+        self.cycle_count += 1
+
+        return self.on_response(raw_response, thought_process_id, prompt, instruction)
+
+    @abstractmethod
+    def execute(
+        self,
+        command_name: str | None,
+        command_args: dict[str, str] | None,
+        user_input: str | None,
+    ) -> str:
+        """Executes the given command, if any, and returns the agent's response.
+
+        Params:
+            command_name: The name of the command to execute, if any.
+            command_args: The arguments to pass to the command, if any.
+            user_input: The user's input, if any.
+
+        Returns:
+            The results of the command.
+        """
+        ...
+
+    def construct_base_prompt(
+        self,
+        thought_process_id: ThoughtProcessID,
+        prepend_messages: list[Message] = [],
+        append_messages: list[Message] = [],
+        reserve_tokens: int = 0,
+    ) -> ChatSequence:
+        """Constructs and returns a prompt with the following structure:
+        1. System prompt
+        2. `prepend_messages`
+        3. Message history of the agent, truncated & prepended with running summary as needed
+        4. `append_messages`
+
+        Params:
+            prepend_messages: Messages to insert between the system prompt and message history
+            append_messages: Messages to insert after the message history
+            reserve_tokens: Number of tokens to reserve for content that is added later
+        """
+
+        prompt = ChatSequence.for_model(
+            self.llm.name,
+            [Message("system", self.system_prompt)] + prepend_messages,
+        )
+
+        # Reserve tokens for messages to be appended later, if any
+        reserve_tokens += self.history.max_summary_tlength
+        if append_messages:
+            reserve_tokens += count_message_tokens(append_messages, self.llm.name)
+
+        # Fill message history, up to a margin of reserved_tokens.
+        # Trim remaining historical messages and add them to the running summary.
+        history_start_index = len(prompt)
+        trimmed_history = add_history_upto_token_limit(
+            prompt, self.history, self.send_token_limit - reserve_tokens
+        )
+        if trimmed_history:
+            new_summary_msg, _ = self.history.trim_messages(list(prompt), self.config)
+            prompt.insert(history_start_index, new_summary_msg)
+
+        if append_messages:
+            prompt.extend(append_messages)
+
+        return prompt
+
+    def construct_prompt(
+        self,
+        cycle_instruction: str,
+        thought_process_id: ThoughtProcessID,
+    ) -> ChatSequence:
+        """Constructs and returns a prompt with the following structure:
+        1. System prompt
+        2. Message history of the agent, truncated & prepended with running summary as needed
+        3. `cycle_instruction`
+
+        Params:
+            cycle_instruction: The final instruction for a thinking cycle
+        """
+
+        if not cycle_instruction:
+            raise ValueError("No instruction given")
+
+        cycle_instruction_msg = Message("user", cycle_instruction)
+        cycle_instruction_tlength = count_message_tokens(
+            cycle_instruction_msg, self.llm.name
+        )
+
+        append_messages: list[Message] = []
+
+        response_format_instr = self.response_format_instruction(thought_process_id)
+        if response_format_instr:
+            append_messages.append(Message("system", response_format_instr))
+
+        prompt = self.construct_base_prompt(
+            thought_process_id,
+            append_messages=append_messages,
+            reserve_tokens=cycle_instruction_tlength,
+        )
+
+        # ADD user input message ("triggering prompt")
+        prompt.append(cycle_instruction_msg)
+
+        return prompt
+
+    # This can be expanded to support multiple types of (inter)actions within an agent
+    def response_format_instruction(self, thought_process_id: ThoughtProcessID) -> str:
+        if thought_process_id != "one-shot":
+            raise NotImplementedError(f"Unknown thought process '{thought_process_id}'")
+
+        RESPONSE_FORMAT_WITH_COMMAND = """```ts
+        interface Response {
+            thoughts: {
+                // Thoughts
+                text: string;
+                reasoning: string;
+                // Short markdown-style bullet list that conveys the long-term plan
+                plan: string;
+                // Constructive self-criticism
+                criticism: string;
+                // Summary of thoughts to say to the user
+                speak: string;
+            };
+            command: {
+                name: string;
+                args: Record<string, any>;
+            };
+        }
+        ```"""
+
+        RESPONSE_FORMAT_WITHOUT_COMMAND = """```ts
+        interface Response {
+            thoughts: {
+                // Thoughts
+                text: string;
+                reasoning: string;
+                // Short markdown-style bullet list that conveys the long-term plan
+                plan: string;
+                // Constructive self-criticism
+                criticism: string;
+                // Summary of thoughts to say to the user
+                speak: string;
+            };
+        }
+        ```"""
+
+        response_format = re.sub(
+            r"\n\s+",
+            "\n",
+            RESPONSE_FORMAT_WITHOUT_COMMAND
+            if self.config.openai_functions
+            else RESPONSE_FORMAT_WITH_COMMAND,
+        )
+
+        use_functions = self.config.openai_functions and self.command_registry.commands
+        return (
+            f"Respond strictly with JSON{', and also specify a command to use through a function_call' if use_functions else ''}. "
+            "The JSON should be compatible with the TypeScript type `Response` from the following:\n"
+            f"{response_format}\n"
+        )
+
+    def on_before_think(
+        self,
+        prompt: ChatSequence,
+        thought_process_id: ThoughtProcessID,
+        instruction: str,
+    ) -> ChatSequence:
+        """Called after constructing the prompt but before executing it.
+
+        Calls the `on_planning` hook of any enabled and capable plugins, adding their
+        output to the prompt.
+
+        Params:
+            instruction: The instruction for the current cycle, also used in constructing the prompt
+
+        Returns:
+            The prompt to execute
+        """
+        current_tokens_used = prompt.token_length
+        plugin_count = len(self.config.plugins)
+        for i, plugin in enumerate(self.config.plugins):
+            if not plugin.can_handle_on_planning():
+                continue
+            plugin_response = plugin.on_planning(
+                self.ai_config.prompt_generator, prompt.raw()
+            )
+            if not plugin_response or plugin_response == "":
+                continue
+            message_to_add = Message("system", plugin_response)
+            tokens_to_add = count_message_tokens(message_to_add, self.llm.name)
+            if current_tokens_used + tokens_to_add > self.send_token_limit:
+                logger.debug(f"Plugin response too long, skipping: {plugin_response}")
+                logger.debug(f"Plugins remaining at stop: {plugin_count - i}")
+                break
+            prompt.insert(
+                -1, message_to_add
+            )  # HACK: assumes cycle instruction to be at the end
+            current_tokens_used += tokens_to_add
+        return prompt
+
+    def on_response(
+        self,
+        llm_response: ChatModelResponse,
+        thought_process_id: ThoughtProcessID,
+        prompt: ChatSequence,
+        instruction: str,
+    ) -> tuple[CommandName | None, CommandArgs | None, AgentThoughts]:
+        """Called upon receiving a response from the chat model.
+
+        Adds the last/newest message in the prompt and the response to `history`,
+        and calls `self.parse_and_process_response()` to do the rest.
+
+        Params:
+            llm_response: The raw response from the chat model
+            prompt: The prompt that was executed
+            instruction: The instruction for the current cycle, also used in constructing the prompt
+
+        Returns:
+            The parsed command name and command args, if any, and the agent thoughts.
+        """
+
+        # Save assistant reply to message history
+        self.history.append(prompt[-1])
+        self.history.add(
+            "assistant", llm_response.content, "ai_response"
+        )  # FIXME: support function calls
+
+        try:
+            return self.parse_and_process_response(
+                llm_response, thought_process_id, prompt, instruction
+            )
+        except SyntaxError as e:
+            logger.error(f"Response could not be parsed: {e}")
+            # TODO: tune this message
+            self.history.add(
+                "system",
+                f"Your response could not be parsed: {e}"
+                "\n\nRemember to only respond using the specified format above!",
+            )
+            return None, None, {}
+
+        # TODO: update memory/context
+
+    @abstractmethod
+    def parse_and_process_response(
+        self,
+        llm_response: ChatModelResponse,
+        thought_process_id: ThoughtProcessID,
+        prompt: ChatSequence,
+        instruction: str,
+    ) -> tuple[CommandName | None, CommandArgs | None, AgentThoughts]:
+        """Validate, parse & process the LLM's response.
+
+        Must be implemented by derivative classes: no base implementation is provided,
+        since the implementation depends on the role of the derivative Agent.
+
+        Params:
+            llm_response: The raw response from the chat model
+            prompt: The prompt that was executed
+            instruction: The instruction for the current cycle, also used in constructing the prompt
+
+        Returns:
+            The parsed command name and command args, if any, and the agent thoughts.
+        """
+        pass
+
+
+def add_history_upto_token_limit(
+    prompt: ChatSequence, history: MessageHistory, t_limit: int
+) -> list[Message]:
+    current_prompt_length = prompt.token_length
+    insertion_index = len(prompt)
+    limit_reached = False
+    trimmed_messages: list[Message] = []
+    for cycle in reversed(list(history.per_cycle())):
+        messages_to_add = [msg for msg in cycle if msg is not None]
+        tokens_to_add = count_message_tokens(messages_to_add, prompt.model.name)
+        if current_prompt_length + tokens_to_add > t_limit:
+            limit_reached = True
+
+        if not limit_reached:
+            # Add the most recent message to the start of the chain,
+            #  after the system prompts.
+            prompt.insert(insertion_index, *messages_to_add)
+            current_prompt_length += tokens_to_add
+        else:
+            trimmed_messages = messages_to_add + trimmed_messages
+
+    return trimmed_messages

autogpt/app/cli.py

@@ -0,0 +1,147 @@
+"""Main script for the autogpt package."""
+from pathlib import Path
+from typing import Optional
+
+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, relative to the Auto-GPT"
+        " root directory. Will also automatically skip the re-prompt."
+    ),
+)
+@click.option(
+    "--prompt-settings",
+    "-P",
+    help="Specifies which prompt_settings.yaml file to use.",
+)
+@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.option(
+    # TODO: this is a hidden option for now, necessary for integration testing.
+    #   We should make this public once we're ready to roll out agent specific workspaces.
+    "--workspace-directory",
+    "-w",
+    type=click.Path(),
+    hidden=True,
+)
+@click.option(
+    "--install-plugin-deps",
+    is_flag=True,
+    help="Installs external dependencies for 3rd party plugins.",
+)
+@click.option(
+    "--ai-name",
+    type=str,
+    help="AI name override",
+)
+@click.option(
+    "--ai-role",
+    type=str,
+    help="AI role override",
+)
+@click.option(
+    "--ai-goal",
+    type=str,
+    multiple=True,
+    help="AI goal override; may be used multiple times to pass multiple goals",
+)
+@click.pass_context
+def main(
+    ctx: click.Context,
+    continuous: bool,
+    continuous_limit: int,
+    ai_settings: str,
+    prompt_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,
+    workspace_directory: str,
+    install_plugin_deps: bool,
+    ai_name: Optional[str],
+    ai_role: Optional[str],
+    ai_goal: tuple[str],
+) -> 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
+    from autogpt.app.main import run_auto_gpt
+
+    if ctx.invoked_subcommand is None:
+        run_auto_gpt(
+            continuous=continuous,
+            continuous_limit=continuous_limit,
+            ai_settings=ai_settings,
+            prompt_settings=prompt_settings,
+            skip_reprompt=skip_reprompt,
+            speak=speak,
+            debug=debug,
+            gpt3only=gpt3only,
+            gpt4only=gpt4only,
+            memory_type=memory_type,
+            browser_name=browser_name,
+            allow_downloads=allow_downloads,
+            skip_news=skip_news,
+            working_directory=Path(
+                __file__
+            ).parent.parent.parent,  # TODO: make this an option
+            workspace_directory=workspace_directory,
+            install_plugin_deps=install_plugin_deps,
+            ai_name=ai_name,
+            ai_role=ai_role,
+            ai_goals=ai_goal,
+        )
+
+
+if __name__ == "__main__":
+    main()

autogpt/app/configurator.py

@@ -0,0 +1,187 @@
+"""Configurator module."""
+from __future__ import annotations
+
+from typing import Literal
+
+import click
+from colorama import Back, Fore, Style
+
+from autogpt import utils
+from autogpt.config import Config
+from autogpt.config.config import GPT_3_MODEL, GPT_4_MODEL
+from autogpt.llm.api_manager import ApiManager
+from autogpt.logs import logger
+from autogpt.memory.vector import get_supported_memory_backends
+
+
+def create_config(
+    config: Config,
+    continuous: bool,
+    continuous_limit: int,
+    ai_settings_file: str,
+    prompt_settings_file: 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:
+    """Updates the config object with the given arguments.
+
+    Args:
+        continuous (bool): Whether to run in continuous mode
+        continuous_limit (int): The number of times to run in continuous mode
+        ai_settings_file (str): The path to the ai_settings.yaml file
+        prompt_settings_file (str): The path to the prompt_settings.yaml file
+        skip_reprompt (bool): Whether to skip the re-prompting messages at the beginning of the script
+        speak (bool): Whether to enable speak mode
+        debug (bool): Whether to enable debug mode
+        gpt3only (bool): Whether to enable GPT3.5 only mode
+        gpt4only (bool): Whether to enable GPT4 only mode
+        memory_type (str): The type of memory backend to use
+        browser_name (str): The name of the browser to use when using selenium to scrape the web
+        allow_downloads (bool): Whether to allow Auto-GPT to download files natively
+        skips_news (bool): Whether to suppress the output of latest news on startup
+    """
+    config.debug_mode = False
+    config.continuous_mode = False
+    config.speak_mode = False
+
+    if debug:
+        logger.typewriter_log("Debug Mode: ", Fore.GREEN, "ENABLED")
+        config.debug_mode = True
+
+    if continuous:
+        logger.typewriter_log("Continuous Mode: ", Fore.RED, "ENABLED")
+        logger.typewriter_log(
+            "WARNING: ",
+            Fore.RED,
+            "Continuous mode is not recommended. It is potentially dangerous and may"
+            " cause your AI to run forever or carry out actions you would not usually"
+            " authorise. Use at your own risk.",
+        )
+        config.continuous_mode = True
+
+        if continuous_limit:
+            logger.typewriter_log(
+                "Continuous Limit: ", Fore.GREEN, f"{continuous_limit}"
+            )
+            config.continuous_limit = continuous_limit
+
+    # Check if continuous limit is used without continuous mode
+    if continuous_limit and not continuous:
+        raise click.UsageError("--continuous-limit can only be used with --continuous")
+
+    if speak:
+        logger.typewriter_log("Speak Mode: ", Fore.GREEN, "ENABLED")
+        config.speak_mode = True
+
+    # Set the default LLM models
+    if gpt3only:
+        logger.typewriter_log("GPT3.5 Only Mode: ", Fore.GREEN, "ENABLED")
+        # --gpt3only should always use gpt-3.5-turbo, despite user's FAST_LLM config
+        config.fast_llm = GPT_3_MODEL
+        config.smart_llm = GPT_3_MODEL
+    elif (
+        gpt4only
+        and check_model(GPT_4_MODEL, model_type="smart_llm", config=config)
+        == GPT_4_MODEL
+    ):
+        logger.typewriter_log("GPT4 Only Mode: ", Fore.GREEN, "ENABLED")
+        # --gpt4only should always use gpt-4, despite user's SMART_LLM config
+        config.fast_llm = GPT_4_MODEL
+        config.smart_llm = GPT_4_MODEL
+    else:
+        config.fast_llm = check_model(config.fast_llm, "fast_llm", config=config)
+        config.smart_llm = check_model(config.smart_llm, "smart_llm", config=config)
+
+    if memory_type:
+        supported_memory = get_supported_memory_backends()
+        chosen = memory_type
+        if chosen not in supported_memory:
+            logger.typewriter_log(
+                "ONLY THE FOLLOWING MEMORY BACKENDS ARE SUPPORTED: ",
+                Fore.RED,
+                f"{supported_memory}",
+            )
+            logger.typewriter_log("Defaulting to: ", Fore.YELLOW, config.memory_backend)
+        else:
+            config.memory_backend = chosen
+
+    if skip_reprompt:
+        logger.typewriter_log("Skip Re-prompt: ", Fore.GREEN, "ENABLED")
+        config.skip_reprompt = True
+
+    if ai_settings_file:
+        file = ai_settings_file
+
+        # Validate file
+        (validated, message) = utils.validate_yaml_file(file)
+        if not validated:
+            logger.typewriter_log("FAILED FILE VALIDATION", Fore.RED, message)
+            logger.double_check()
+            exit(1)
+
+        logger.typewriter_log("Using AI Settings File:", Fore.GREEN, file)
+        config.ai_settings_file = file
+        config.skip_reprompt = True
+
+    if prompt_settings_file:
+        file = prompt_settings_file
+
+        # Validate file
+        (validated, message) = utils.validate_yaml_file(file)
+        if not validated:
+            logger.typewriter_log("FAILED FILE VALIDATION", Fore.RED, message)
+            logger.double_check()
+            exit(1)
+
+        logger.typewriter_log("Using Prompt Settings File:", Fore.GREEN, file)
+        config.prompt_settings_file = file
+
+    if browser_name:
+        config.selenium_web_browser = browser_name
+
+    if allow_downloads:
+        logger.typewriter_log("Native Downloading:", Fore.GREEN, "ENABLED")
+        logger.typewriter_log(
+            "WARNING: ",
+            Fore.YELLOW,
+            f"{Back.LIGHTYELLOW_EX}Auto-GPT will now be able to download and save files to your machine.{Back.RESET} "
+            + "It is recommended that you monitor any files it downloads carefully.",
+        )
+        logger.typewriter_log(
+            "WARNING: ",
+            Fore.YELLOW,
+            f"{Back.RED + Style.BRIGHT}ALWAYS REMEMBER TO NEVER OPEN FILES YOU AREN'T SURE OF!{Style.RESET_ALL}",
+        )
+        config.allow_downloads = True
+
+    if skip_news:
+        config.skip_news = True
+
+
+def check_model(
+    model_name: str,
+    model_type: Literal["smart_llm", "fast_llm"],
+    config: Config,
+) -> str:
+    """Check if model is available for use. If not, return gpt-3.5-turbo."""
+    openai_credentials = config.get_openai_credentials(model_name)
+    api_manager = ApiManager()
+    models = api_manager.get_models(**openai_credentials)
+
+    if any(model_name in m["id"] for m in models):
+        return model_name
+
+    logger.typewriter_log(
+        "WARNING: ",
+        Fore.YELLOW,
+        f"You do not have access to {model_name}. Setting {model_type} to "
+        f"gpt-3.5-turbo.",
+    )
+    return "gpt-3.5-turbo"

autogpt/app/main.py

@@ -0,0 +1,574 @@
+"""The application entry point.  Can be invoked by a CLI or any other front end application."""
+import enum
+import logging
+import math
+import signal
+import sys
+from pathlib import Path
+from types import FrameType
+from typing import Optional
+
+from colorama import Fore, Style
+
+from autogpt.agents import Agent, AgentThoughts, CommandArgs, CommandName
+from autogpt.app.configurator import create_config
+from autogpt.app.setup import prompt_user
+from autogpt.app.spinner import Spinner
+from autogpt.app.utils import (
+    clean_input,
+    get_current_git_branch,
+    get_latest_bulletin,
+    get_legal_warning,
+    markdown_to_ansi_style,
+)
+from autogpt.commands import COMMAND_CATEGORIES
+from autogpt.config import AIConfig, Config, ConfigBuilder, check_openai_api_key
+from autogpt.llm.api_manager import ApiManager
+from autogpt.logs import logger
+from autogpt.memory.vector import get_memory
+from autogpt.models.command_registry import CommandRegistry
+from autogpt.plugins import scan_plugins
+from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
+from autogpt.speech import say_text
+from autogpt.workspace import Workspace
+from scripts.install_plugin_deps import install_plugin_dependencies
+
+
+def run_auto_gpt(
+    continuous: bool,
+    continuous_limit: int,
+    ai_settings: str,
+    prompt_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,
+    working_directory: Path,
+    workspace_directory: str | Path,
+    install_plugin_deps: bool,
+    ai_name: Optional[str] = None,
+    ai_role: Optional[str] = None,
+    ai_goals: tuple[str] = tuple(),
+):
+    # Configure logging before we do anything else.
+    logger.set_level(logging.DEBUG if debug else logging.INFO)
+
+    config = ConfigBuilder.build_config_from_env(workdir=working_directory)
+
+    # HACK: This is a hack to allow the config into the logger without having to pass it around everywhere
+    # or import it directly.
+    logger.config = config
+
+    # TODO: fill in llm values here
+    check_openai_api_key(config)
+
+    create_config(
+        config,
+        continuous,
+        continuous_limit,
+        ai_settings,
+        prompt_settings,
+        skip_reprompt,
+        speak,
+        debug,
+        gpt3only,
+        gpt4only,
+        memory_type,
+        browser_name,
+        allow_downloads,
+        skip_news,
+    )
+
+    if config.continuous_mode:
+        for line in get_legal_warning().split("\n"):
+            logger.warn(markdown_to_ansi_style(line), "LEGAL:", Fore.RED)
+
+    if not config.skip_news:
+        motd, is_new_motd = get_latest_bulletin()
+        if motd:
+            motd = markdown_to_ansi_style(motd)
+            for motd_line in motd.split("\n"):
+                logger.info(motd_line, "NEWS:", Fore.GREEN)
+            if is_new_motd and not config.chat_messages_enabled:
+                input(
+                    Fore.MAGENTA
+                    + Style.BRIGHT
+                    + "NEWS: Bulletin was updated! Press Enter to continue..."
+                    + Style.RESET_ALL
+                )
+
+        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.",
+            )
+        if sys.version_info < (3, 10):
+            logger.typewriter_log(
+                "WARNING: ",
+                Fore.RED,
+                "You are running on an older version of Python. "
+                "Some people have observed problems with certain "
+                "parts of Auto-GPT with this version. "
+                "Please consider upgrading to Python 3.10 or higher.",
+            )
+
+    if install_plugin_deps:
+        install_plugin_dependencies()
+
+    # TODO: have this directory live outside the repository (e.g. in a user's
+    #   home directory) and have it come in as a command line argument or part of
+    #   the env file.
+    config.workspace_path = Workspace.init_workspace_directory(
+        config, workspace_directory
+    )
+
+    # HACK: doing this here to collect some globals that depend on the workspace.
+    config.file_logger_path = Workspace.build_file_logger_path(config.workspace_path)
+
+    config.plugins = scan_plugins(config, config.debug_mode)
+
+    # Create a CommandRegistry instance and scan default folder
+    command_registry = CommandRegistry.with_command_modules(COMMAND_CATEGORIES, config)
+
+    ai_config = construct_main_ai_config(
+        config,
+        name=ai_name,
+        role=ai_role,
+        goals=ai_goals,
+    )
+    ai_config.command_registry = command_registry
+    # print(prompt)
+
+    # add chat plugins capable of report to logger
+    if config.chat_messages_enabled:
+        for plugin in config.plugins:
+            if hasattr(plugin, "can_handle_report") and plugin.can_handle_report():
+                logger.info(f"Loaded plugin into logger: {plugin.__class__.__name__}")
+                logger.chat_plugins.append(plugin)
+
+    # Initialize memory and make sure it is empty.
+    # this is particularly important for indexing and referencing pinecone memory
+    memory = get_memory(config)
+    memory.clear()
+    logger.typewriter_log(
+        "Using memory of type:", Fore.GREEN, f"{memory.__class__.__name__}"
+    )
+    logger.typewriter_log("Using Browser:", Fore.GREEN, config.selenium_web_browser)
+
+    agent = Agent(
+        memory=memory,
+        command_registry=command_registry,
+        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
+        ai_config=ai_config,
+        config=config,
+    )
+
+    run_interaction_loop(agent)
+
+
+def _get_cycle_budget(continuous_mode: bool, continuous_limit: int) -> int | None:
+    # Translate from the continuous_mode/continuous_limit config
+    # to a cycle_budget (maximum number of cycles to run without checking in with the
+    # user) and a count of cycles_remaining before we check in..
+    if continuous_mode:
+        cycle_budget = continuous_limit if continuous_limit else math.inf
+    else:
+        cycle_budget = 1
+
+    return cycle_budget
+
+
+class UserFeedback(str, enum.Enum):
+    """Enum for user feedback."""
+
+    AUTHORIZE = "GENERATE NEXT COMMAND JSON"
+    EXIT = "EXIT"
+    TEXT = "TEXT"
+
+
+def run_interaction_loop(
+    agent: Agent,
+) -> None:
+    """Run the main interaction loop for the agent.
+
+    Args:
+        agent: The agent to run the interaction loop for.
+
+    Returns:
+        None
+    """
+    # These contain both application config and agent config, so grab them here.
+    config = agent.config
+    ai_config = agent.ai_config
+    logger.debug(f"{ai_config.ai_name} System Prompt: {agent.system_prompt}")
+
+    cycle_budget = cycles_remaining = _get_cycle_budget(
+        config.continuous_mode, config.continuous_limit
+    )
+    spinner = Spinner("Thinking...", plain_output=config.plain_output)
+
+    def graceful_agent_interrupt(signum: int, frame: Optional[FrameType]) -> None:
+        nonlocal cycle_budget, cycles_remaining, spinner
+        if cycles_remaining in [0, 1, math.inf]:
+            logger.typewriter_log(
+                "Interrupt signal received. Stopping continuous command execution "
+                "immediately.",
+                Fore.RED,
+            )
+            sys.exit()
+        else:
+            restart_spinner = spinner.running
+            if spinner.running:
+                spinner.stop()
+
+            logger.typewriter_log(
+                "Interrupt signal received. Stopping continuous command execution.",
+                Fore.RED,
+            )
+            cycles_remaining = 1
+            if restart_spinner:
+                spinner.start()
+
+    # Set up an interrupt signal for the agent.
+    signal.signal(signal.SIGINT, graceful_agent_interrupt)
+
+    #########################
+    # Application Main Loop #
+    #########################
+
+    while cycles_remaining > 0:
+        logger.debug(f"Cycle budget: {cycle_budget}; remaining: {cycles_remaining}")
+
+        ########
+        # Plan #
+        ########
+        # Have the agent determine the next action to take.
+        with spinner:
+            command_name, command_args, assistant_reply_dict = agent.think()
+
+        ###############
+        # Update User #
+        ###############
+        # Print the assistant's thoughts and the next command to the user.
+        update_user(config, ai_config, command_name, command_args, assistant_reply_dict)
+
+        ##################
+        # Get user input #
+        ##################
+        if cycles_remaining == 1:  # Last cycle
+            user_feedback, user_input, new_cycles_remaining = get_user_feedback(
+                config,
+                ai_config,
+            )
+
+            if user_feedback == UserFeedback.AUTHORIZE:
+                if new_cycles_remaining is not None:
+                    # Case 1: User is altering the cycle budget.
+                    if cycle_budget > 1:
+                        cycle_budget = new_cycles_remaining + 1
+                    # Case 2: User is running iteratively and
+                    #   has initiated a one-time continuous cycle
+                    cycles_remaining = new_cycles_remaining + 1
+                else:
+                    # Case 1: Continuous iteration was interrupted -> resume
+                    if cycle_budget > 1:
+                        logger.typewriter_log(
+                            "RESUMING CONTINUOUS EXECUTION: ",
+                            Fore.MAGENTA,
+                            f"The cycle budget is {cycle_budget}.",
+                        )
+                    # Case 2: The agent used up its cycle budget -> reset
+                    cycles_remaining = cycle_budget + 1
+                logger.typewriter_log(
+                    "-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=",
+                    Fore.MAGENTA,
+                    "",
+                )
+            elif user_feedback == UserFeedback.EXIT:
+                logger.typewriter_log("Exiting...", Fore.YELLOW)
+                exit()
+            else:  # user_feedback == UserFeedback.TEXT
+                command_name = "human_feedback"
+        else:
+            user_input = None
+            # First log new-line so user can differentiate sections better in console
+            logger.typewriter_log("\n")
+            if cycles_remaining != math.inf:
+                # Print authorized commands left value
+                logger.typewriter_log(
+                    "AUTHORISED COMMANDS LEFT: ", Fore.CYAN, f"{cycles_remaining}"
+                )
+
+        ###################
+        # Execute Command #
+        ###################
+        # Decrement the cycle counter first to reduce the likelihood of a SIGINT
+        # happening during command execution, setting the cycles remaining to 1,
+        # and then having the decrement set it to 0, exiting the application.
+        if command_name != "human_feedback":
+            cycles_remaining -= 1
+        result = agent.execute(command_name, command_args, user_input)
+
+        if result is not None:
+            logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result)
+        else:
+            logger.typewriter_log("SYSTEM: ", Fore.YELLOW, "Unable to execute command")
+
+
+def update_user(
+    config: Config,
+    ai_config: AIConfig,
+    command_name: CommandName | None,
+    command_args: CommandArgs | None,
+    assistant_reply_dict: AgentThoughts,
+) -> None:
+    """Prints the assistant's thoughts and the next command to the user.
+
+    Args:
+        config: The program's configuration.
+        ai_config: The AI's configuration.
+        command_name: The name of the command to execute.
+        command_args: The arguments for the command.
+        assistant_reply_dict: The assistant's reply.
+    """
+
+    print_assistant_thoughts(ai_config.ai_name, assistant_reply_dict, config)
+
+    if command_name is not None:
+        if command_name.lower().startswith("error"):
+            logger.typewriter_log(
+                "ERROR: ",
+                Fore.RED,
+                f"The Agent failed to select an action. "
+                f"Error message: {command_name}",
+            )
+        else:
+            if config.speak_mode:
+                say_text(f"I want to execute {command_name}", config)
+
+            # First log new-line so user can differentiate sections better in console
+            logger.typewriter_log("\n")
+            logger.typewriter_log(
+                "NEXT ACTION: ",
+                Fore.CYAN,
+                f"COMMAND = {Fore.CYAN}{remove_ansi_escape(command_name)}{Style.RESET_ALL}  "
+                f"ARGUMENTS = {Fore.CYAN}{command_args}{Style.RESET_ALL}",
+            )
+    else:
+        logger.typewriter_log(
+            "NO ACTION SELECTED: ",
+            Fore.RED,
+            f"The Agent failed to select an action.",
+        )
+
+
+def get_user_feedback(
+    config: Config,
+    ai_config: AIConfig,
+) -> tuple[UserFeedback, str, int | None]:
+    """Gets the user's feedback on the assistant's reply.
+
+    Args:
+        config: The program's configuration.
+        ai_config: The AI's configuration.
+
+    Returns:
+        A tuple of the user's feedback, the user's input, and the number of
+        cycles remaining if the user has initiated a continuous cycle.
+    """
+    # ### GET USER AUTHORIZATION TO EXECUTE COMMAND ###
+    # Get key press: Prompt the user to press enter to continue or escape
+    # to exit
+    logger.info(
+        f"Enter '{config.authorise_key}' to authorise command, "
+        f"'{config.authorise_key} -N' to run N continuous commands, "
+        f"'{config.exit_key}' to exit program, or enter feedback for "
+        f"{ai_config.ai_name}..."
+    )
+
+    user_feedback = None
+    user_input = ""
+    new_cycles_remaining = None
+
+    while user_feedback is None:
+        # Get input from user
+        if config.chat_messages_enabled:
+            console_input = clean_input(config, "Waiting for your response...")
+        else:
+            console_input = clean_input(
+                config, Fore.MAGENTA + "Input:" + Style.RESET_ALL
+            )
+
+        # Parse user input
+        if console_input.lower().strip() == config.authorise_key:
+            user_feedback = UserFeedback.AUTHORIZE
+        elif console_input.lower().strip() == "":
+            logger.warn("Invalid input format.")
+        elif console_input.lower().startswith(f"{config.authorise_key} -"):
+            try:
+                user_feedback = UserFeedback.AUTHORIZE
+                new_cycles_remaining = abs(int(console_input.split(" ")[1]))
+            except ValueError:
+                logger.warn(
+                    f"Invalid input format. "
+                    f"Please enter '{config.authorise_key} -N'"
+                    " where N is the number of continuous tasks."
+                )
+        elif console_input.lower() in [config.exit_key, "exit"]:
+            user_feedback = UserFeedback.EXIT
+        else:
+            user_feedback = UserFeedback.TEXT
+            user_input = console_input
+
+    return user_feedback, user_input, new_cycles_remaining
+
+
+def construct_main_ai_config(
+    config: Config,
+    name: Optional[str] = None,
+    role: Optional[str] = None,
+    goals: tuple[str] = tuple(),
+) -> AIConfig:
+    """Construct the prompt for the AI to respond to
+
+    Returns:
+        str: The prompt string
+    """
+    ai_config = AIConfig.load(config.workdir / config.ai_settings_file)
+
+    # Apply overrides
+    if name:
+        ai_config.ai_name = name
+    if role:
+        ai_config.ai_role = role
+    if goals:
+        ai_config.ai_goals = list(goals)
+
+    if (
+        all([name, role, goals])
+        or config.skip_reprompt
+        and all([ai_config.ai_name, ai_config.ai_role, ai_config.ai_goals])
+    ):
+        logger.typewriter_log("Name :", Fore.GREEN, ai_config.ai_name)
+        logger.typewriter_log("Role :", Fore.GREEN, ai_config.ai_role)
+        logger.typewriter_log("Goals:", Fore.GREEN, f"{ai_config.ai_goals}")
+        logger.typewriter_log(
+            "API Budget:",
+            Fore.GREEN,
+            "infinite" if ai_config.api_budget <= 0 else f"${ai_config.api_budget}",
+        )
+    elif all([ai_config.ai_name, ai_config.ai_role, ai_config.ai_goals]):
+        logger.typewriter_log(
+            "Welcome back! ",
+            Fore.GREEN,
+            f"Would you like me to return to being {ai_config.ai_name}?",
+            speak_text=True,
+        )
+        should_continue = clean_input(
+            config,
+            f"""Continue with the last settings?
+Name:  {ai_config.ai_name}
+Role:  {ai_config.ai_role}
+Goals: {ai_config.ai_goals}
+API Budget: {"infinite" if ai_config.api_budget <= 0 else f"${ai_config.api_budget}"}
+Continue ({config.authorise_key}/{config.exit_key}): """,
+        )
+        if should_continue.lower() == config.exit_key:
+            ai_config = AIConfig()
+
+    if any([not ai_config.ai_name, not ai_config.ai_role, not ai_config.ai_goals]):
+        ai_config = prompt_user(config)
+        ai_config.save(config.workdir / config.ai_settings_file)
+
+    if config.restrict_to_workspace:
+        logger.typewriter_log(
+            "NOTE:All files/directories created by this agent can be found inside its workspace at:",
+            Fore.YELLOW,
+            f"{config.workspace_path}",
+        )
+    # set the total api budget
+    api_manager = ApiManager()
+    api_manager.set_total_budget(ai_config.api_budget)
+
+    # Agent Created, print message
+    logger.typewriter_log(
+        ai_config.ai_name,
+        Fore.LIGHTBLUE_EX,
+        "has been created with the following details:",
+        speak_text=True,
+    )
+
+    # Print the ai_config details
+    # Name
+    logger.typewriter_log("Name:", Fore.GREEN, ai_config.ai_name, speak_text=False)
+    # Role
+    logger.typewriter_log("Role:", Fore.GREEN, ai_config.ai_role, speak_text=False)
+    # Goals
+    logger.typewriter_log("Goals:", Fore.GREEN, "", speak_text=False)
+    for goal in ai_config.ai_goals:
+        logger.typewriter_log("-", Fore.GREEN, goal, speak_text=False)
+
+    return ai_config
+
+
+def print_assistant_thoughts(
+    ai_name: str,
+    assistant_reply_json_valid: dict,
+    config: Config,
+) -> None:
+    from autogpt.speech import say_text
+
+    assistant_thoughts_reasoning = None
+    assistant_thoughts_plan = None
+    assistant_thoughts_speak = None
+    assistant_thoughts_criticism = None
+
+    assistant_thoughts = assistant_reply_json_valid.get("thoughts", {})
+    assistant_thoughts_text = remove_ansi_escape(assistant_thoughts.get("text", ""))
+    if assistant_thoughts:
+        assistant_thoughts_reasoning = remove_ansi_escape(
+            assistant_thoughts.get("reasoning", "")
+        )
+        assistant_thoughts_plan = remove_ansi_escape(assistant_thoughts.get("plan", ""))
+        assistant_thoughts_criticism = remove_ansi_escape(
+            assistant_thoughts.get("criticism", "")
+        )
+        assistant_thoughts_speak = remove_ansi_escape(
+            assistant_thoughts.get("speak", "")
+        )
+    logger.typewriter_log(
+        f"{ai_name.upper()} THOUGHTS:", Fore.YELLOW, assistant_thoughts_text
+    )
+    logger.typewriter_log("REASONING:", Fore.YELLOW, str(assistant_thoughts_reasoning))
+    if assistant_thoughts_plan:
+        logger.typewriter_log("PLAN:", Fore.YELLOW, "")
+        # If it's a list, join it into a string
+        if isinstance(assistant_thoughts_plan, list):
+            assistant_thoughts_plan = "\n".join(assistant_thoughts_plan)
+        elif isinstance(assistant_thoughts_plan, dict):
+            assistant_thoughts_plan = str(assistant_thoughts_plan)
+
+        # Split the input_string using the newline character and dashes
+        lines = assistant_thoughts_plan.split("\n")
+        for line in lines:
+            line = line.lstrip("- ")
+            logger.typewriter_log("- ", Fore.GREEN, line.strip())
+    logger.typewriter_log("CRITICISM:", Fore.YELLOW, f"{assistant_thoughts_criticism}")
+    # Speak the assistant's thoughts
+    if assistant_thoughts_speak:
+        if config.speak_mode:
+            say_text(assistant_thoughts_speak, config)
+        else:
+            logger.typewriter_log("SPEAK:", Fore.YELLOW, f"{assistant_thoughts_speak}")
+
+
+def remove_ansi_escape(s: str) -> str:
+    return s.replace("\x1B", "")

autogpt/app/setup.py

@@ -0,0 +1,239 @@
+"""Set up the AI and its goals"""
+import re
+from typing import Optional
+
+from colorama import Fore, Style
+from jinja2 import Template
+
+from autogpt.app import utils
+from autogpt.config import Config
+from autogpt.config.ai_config import AIConfig
+from autogpt.llm.base import ChatSequence, Message
+from autogpt.llm.utils import create_chat_completion
+from autogpt.logs import logger
+from autogpt.prompts.default_prompts import (
+    DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC,
+    DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC,
+    DEFAULT_USER_DESIRE_PROMPT,
+)
+
+
+def prompt_user(
+    config: Config, ai_config_template: Optional[AIConfig] = None
+) -> AIConfig:
+    """Prompt the user for input
+
+    Params:
+        config (Config): The Config object
+        ai_config_template (AIConfig): The AIConfig object to use as a template
+
+    Returns:
+        AIConfig: The AIConfig object tailored to the user's input
+    """
+
+    # Construct the prompt
+    logger.typewriter_log(
+        "Welcome to Auto-GPT! ",
+        Fore.GREEN,
+        "run with '--help' for more information.",
+        speak_text=True,
+    )
+
+    ai_config_template_provided = ai_config_template is not None and any(
+        [
+            ai_config_template.ai_goals,
+            ai_config_template.ai_name,
+            ai_config_template.ai_role,
+        ]
+    )
+
+    user_desire = ""
+    if not ai_config_template_provided:
+        # Get user desire if command line overrides have not been passed in
+        logger.typewriter_log(
+            "Create an AI-Assistant:",
+            Fore.GREEN,
+            "input '--manual' to enter manual mode.",
+            speak_text=True,
+        )
+
+        user_desire = utils.clean_input(
+            config, f"{Fore.LIGHTBLUE_EX}I want Auto-GPT to{Style.RESET_ALL}: "
+        )
+
+    if user_desire.strip() == "":
+        user_desire = DEFAULT_USER_DESIRE_PROMPT  # Default prompt
+
+    # If user desire contains "--manual" or we have overridden any of the AI configuration
+    if "--manual" in user_desire or ai_config_template_provided:
+        logger.typewriter_log(
+            "Manual Mode Selected",
+            Fore.GREEN,
+            speak_text=True,
+        )
+        return generate_aiconfig_manual(config, ai_config_template)
+
+    else:
+        try:
+            return generate_aiconfig_automatic(user_desire, config)
+        except Exception as e:
+            logger.typewriter_log(
+                "Unable to automatically generate AI Config based on user desire.",
+                Fore.RED,
+                "Falling back to manual mode.",
+                speak_text=True,
+            )
+            logger.debug(f"Error during AIConfig generation: {e}")
+
+            return generate_aiconfig_manual(config)
+
+
+def generate_aiconfig_manual(
+    config: Config, ai_config_template: Optional[AIConfig] = None
+) -> AIConfig:
+    """
+    Interactively create an AI configuration by prompting the user to provide the name, role, and goals of the AI.
+
+    This function guides the user through a series of prompts to collect the necessary information to create
+    an AIConfig object. The user will be asked to provide a name and role for the AI, as well as up to five
+    goals. If the user does not provide a value for any of the fields, default values will be used.
+
+    Params:
+        config (Config): The Config object
+        ai_config_template (AIConfig): The AIConfig object to use as a template
+
+    Returns:
+        AIConfig: An AIConfig object containing the user-defined or default AI name, role, and goals.
+    """
+
+    # Manual Setup Intro
+    logger.typewriter_log(
+        "Create an AI-Assistant:",
+        Fore.GREEN,
+        "Enter the name of your AI and its role below. Entering nothing will load"
+        " defaults.",
+        speak_text=True,
+    )
+
+    if ai_config_template and ai_config_template.ai_name:
+        ai_name = ai_config_template.ai_name
+    else:
+        ai_name = ""
+        # Get AI Name from User
+        logger.typewriter_log(
+            "Name your AI: ", Fore.GREEN, "For example, 'Entrepreneur-GPT'"
+        )
+        ai_name = utils.clean_input(config, "AI Name: ")
+    if ai_name == "":
+        ai_name = "Entrepreneur-GPT"
+
+    logger.typewriter_log(
+        f"{ai_name} here!", Fore.LIGHTBLUE_EX, "I am at your service.", speak_text=True
+    )
+
+    if ai_config_template and ai_config_template.ai_role:
+        ai_role = ai_config_template.ai_role
+    else:
+        # Get AI Role from User
+        logger.typewriter_log(
+            "Describe your AI's role: ",
+            Fore.GREEN,
+            "For example, 'an AI designed to autonomously develop and run businesses with"
+            " the sole goal of increasing your net worth.'",
+        )
+        ai_role = utils.clean_input(config, f"{ai_name} is: ")
+    if ai_role == "":
+        ai_role = "an AI designed to autonomously develop and run businesses with the"
+        " sole goal of increasing your net worth."
+
+    if ai_config_template and ai_config_template.ai_goals:
+        ai_goals = ai_config_template.ai_goals
+    else:
+        # Enter up to 5 goals for the AI
+        logger.typewriter_log(
+            "Enter up to 5 goals for your AI: ",
+            Fore.GREEN,
+            "For example: \nIncrease net worth, Grow Twitter Account, Develop and manage"
+            " multiple businesses autonomously'",
+        )
+        logger.info("Enter nothing to load defaults, enter nothing when finished.")
+        ai_goals = []
+        for i in range(5):
+            ai_goal = utils.clean_input(
+                config, f"{Fore.LIGHTBLUE_EX}Goal{Style.RESET_ALL} {i+1}: "
+            )
+            if ai_goal == "":
+                break
+            ai_goals.append(ai_goal)
+    if not ai_goals:
+        ai_goals = [
+            "Increase net worth",
+            "Grow Twitter Account",
+            "Develop and manage multiple businesses autonomously",
+        ]
+
+    # Get API Budget from User
+    logger.typewriter_log(
+        "Enter your budget for API calls: ",
+        Fore.GREEN,
+        "For example: $1.50",
+    )
+    logger.info("Enter nothing to let the AI run without monetary limit")
+    api_budget_input = utils.clean_input(
+        config, f"{Fore.LIGHTBLUE_EX}Budget{Style.RESET_ALL}: $"
+    )
+    if api_budget_input == "":
+        api_budget = 0.0
+    else:
+        try:
+            api_budget = float(api_budget_input.replace("$", ""))
+        except ValueError:
+            logger.typewriter_log(
+                "Invalid budget input. Setting budget to unlimited.", Fore.RED
+            )
+            api_budget = 0.0
+
+    return AIConfig(ai_name, ai_role, ai_goals, api_budget)
+
+
+def generate_aiconfig_automatic(user_prompt: str, config: Config) -> AIConfig:
+    """Generates an AIConfig object from the given string.
+
+    Returns:
+    AIConfig: The AIConfig object tailored to the user's input
+    """
+
+    system_prompt = DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC
+    prompt_ai_config_automatic = Template(
+        DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC
+    ).render(user_prompt=user_prompt)
+    # Call LLM with the string as user input
+    output = create_chat_completion(
+        ChatSequence.for_model(
+            config.fast_llm,
+            [
+                Message("system", system_prompt),
+                Message("user", prompt_ai_config_automatic),
+            ],
+        ),
+        config,
+    ).content
+
+    # Debug LLM Output
+    logger.debug(f"AI Config Generator Raw Output: {output}")
+
+    # Parse the output
+    ai_name = re.search(r"Name(?:\s*):(?:\s*)(.*)", output, re.IGNORECASE).group(1)
+    ai_role = (
+        re.search(
+            r"Description(?:\s*):(?:\s*)(.*?)(?:(?:\n)|Goals)",
+            output,
+            re.IGNORECASE | re.DOTALL,
+        )
+        .group(1)
+        .strip()
+    )
+    ai_goals = re.findall(r"(?<=\n)-\s*(.*)", output)
+    api_budget = 0.0  # TODO: parse api budget using a regular expression
+
+    return AIConfig(ai_name, ai_role, ai_goals, api_budget)

autogpt/app/utils.py

@@ -0,0 +1,147 @@
+import os
+import re
+
+import requests
+from colorama import Fore, Style
+from git.repo import Repo
+from prompt_toolkit import ANSI, PromptSession
+from prompt_toolkit.history import InMemoryHistory
+
+from autogpt.config import Config
+from autogpt.logs import logger
+
+session = PromptSession(history=InMemoryHistory())
+
+
+def clean_input(config: Config, prompt: str = "", talk=False):
+    try:
+        if config.chat_messages_enabled:
+            for plugin in config.plugins:
+                if not hasattr(plugin, "can_handle_user_input"):
+                    continue
+                if not plugin.can_handle_user_input(user_input=prompt):
+                    continue
+                plugin_response = plugin.user_input(user_input=prompt)
+                if not plugin_response:
+                    continue
+                if plugin_response.lower() in [
+                    "yes",
+                    "yeah",
+                    "y",
+                    "ok",
+                    "okay",
+                    "sure",
+                    "alright",
+                ]:
+                    return config.authorise_key
+                elif plugin_response.lower() in [
+                    "no",
+                    "nope",
+                    "n",
+                    "negative",
+                ]:
+                    return config.exit_key
+                return plugin_response
+
+        # ask for input, default when just pressing Enter is y
+        logger.info("Asking user via keyboard...")
+
+        # handle_sigint must be set to False, so the signal handler in the
+        # autogpt/main.py could be employed properly. This referes to
+        # https://github.com/Significant-Gravitas/Auto-GPT/pull/4799/files/3966cdfd694c2a80c0333823c3bc3da090f85ed3#r1264278776
+        answer = session.prompt(ANSI(prompt), handle_sigint=False)
+        return answer
+    except KeyboardInterrupt:
+        logger.info("You interrupted Auto-GPT")
+        logger.info("Quitting...")
+        exit(0)
+
+
+def get_bulletin_from_web():
+    try:
+        response = requests.get(
+            "https://raw.githubusercontent.com/Significant-Gravitas/Auto-GPT/master/BULLETIN.md"
+        )
+        if response.status_code == 200:
+            return response.text
+    except requests.exceptions.RequestException:
+        pass
+
+    return ""
+
+
+def get_current_git_branch() -> str:
+    try:
+        repo = Repo(search_parent_directories=True)
+        branch = repo.active_branch
+        return branch.name
+    except:
+        return ""
+
+
+def get_latest_bulletin() -> tuple[str, bool]:
+    exists = os.path.exists("data/CURRENT_BULLETIN.md")
+    current_bulletin = ""
+    if exists:
+        current_bulletin = open(
+            "data/CURRENT_BULLETIN.md", "r", encoding="utf-8"
+        ).read()
+    new_bulletin = get_bulletin_from_web()
+    is_new_news = new_bulletin != "" and new_bulletin != current_bulletin
+
+    news_header = Fore.YELLOW + "Welcome to Auto-GPT!\n"
+    if new_bulletin or current_bulletin:
+        news_header += (
+            "Below you'll find the latest Auto-GPT News and updates regarding features!\n"
+            "If you don't wish to see this message, you "
+            "can run Auto-GPT with the *--skip-news* flag.\n"
+        )
+
+    if new_bulletin and is_new_news:
+        open("data/CURRENT_BULLETIN.md", "w", encoding="utf-8").write(new_bulletin)
+        current_bulletin = f"{Fore.RED}::NEW BULLETIN::{Fore.RESET}\n\n{new_bulletin}"
+
+    return f"{news_header}\n{current_bulletin}", is_new_news
+
+
+def markdown_to_ansi_style(markdown: str):
+    ansi_lines: list[str] = []
+    for line in markdown.split("\n"):
+        line_style = ""
+
+        if line.startswith("# "):
+            line_style += Style.BRIGHT
+        else:
+            line = re.sub(
+                r"(?<!\*)\*(\*?[^*]+\*?)\*(?!\*)",
+                rf"{Style.BRIGHT}\1{Style.NORMAL}",
+                line,
+            )
+
+        if re.match(r"^#+ ", line) is not None:
+            line_style += Fore.CYAN
+            line = re.sub(r"^#+ ", "", line)
+
+        ansi_lines.append(f"{line_style}{line}{Style.RESET_ALL}")
+    return "\n".join(ansi_lines)
+
+
+def get_legal_warning() -> str:
+    legal_text = """
+## DISCLAIMER AND INDEMNIFICATION AGREEMENT
+### PLEASE READ THIS DISCLAIMER AND INDEMNIFICATION AGREEMENT CAREFULLY BEFORE USING THE AUTOGPT SYSTEM. BY USING THE AUTOGPT SYSTEM, YOU AGREE TO BE BOUND BY THIS AGREEMENT.
+
+## Introduction
+AutoGPT (the "System") is a project that connects a GPT-like artificial intelligence system to the internet and allows it to automate tasks. While the System is designed to be useful and efficient, there may be instances where the System could perform actions that may cause harm or have unintended consequences.
+
+## No Liability for Actions of the System
+The developers, contributors, and maintainers of the AutoGPT project (collectively, the "Project Parties") make no warranties or representations, express or implied, about the System's performance, accuracy, reliability, or safety. By using the System, you understand and agree that the Project Parties shall not be liable for any actions taken by the System or any consequences resulting from such actions.
+
+## User Responsibility and Respondeat Superior Liability
+As a user of the System, you are responsible for supervising and monitoring the actions of the System while it is operating on your
+behalf. You acknowledge that using the System could expose you to potential liability including but not limited to respondeat superior and you agree to assume all risks and liabilities associated with such potential liability.
+
+## Indemnification
+By using the System, you agree to indemnify, defend, and hold harmless the Project Parties from and against any and all claims, liabilities, damages, losses, or expenses (including reasonable attorneys' fees and costs) arising out of or in connection with your use of the System, including, without limitation, any actions taken by the System on your behalf, any failure to properly supervise or monitor the System, and any resulting harm or unintended consequences.
+            """
+    return legal_text

autogpt/command_decorator.py

@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+import functools
+from typing import TYPE_CHECKING, Any, Callable, Optional, TypedDict
+
+if TYPE_CHECKING:
+    from autogpt.config import Config
+
+from autogpt.models.command import Command, CommandParameter
+
+# Unique identifier for auto-gpt commands
+AUTO_GPT_COMMAND_IDENTIFIER = "auto_gpt_command"
+
+
+class CommandParameterSpec(TypedDict):
+    type: str
+    description: str
+    required: bool
+
+
+def command(
+    name: str,
+    description: str,
+    parameters: dict[str, CommandParameterSpec],
+    enabled: bool | Callable[[Config], bool] = True,
+    disabled_reason: Optional[str] = None,
+    aliases: list[str] = [],
+) -> Callable[..., Any]:
+    """The command decorator is used to create Command objects from ordinary functions."""
+
+    def decorator(func: Callable[..., Any]) -> Command:
+        typed_parameters = [
+            CommandParameter(
+                name=param_name,
+                description=parameter.get("description"),
+                type=parameter.get("type", "string"),
+                required=parameter.get("required", False),
+            )
+            for param_name, parameter in parameters.items()
+        ]
+        cmd = Command(
+            name=name,
+            description=description,
+            method=func,
+            parameters=typed_parameters,
+            enabled=enabled,
+            disabled_reason=disabled_reason,
+            aliases=aliases,
+        )
+
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs) -> Any:
+            return func(*args, **kwargs)
+
+        wrapper.command = cmd
+
+        setattr(wrapper, AUTO_GPT_COMMAND_IDENTIFIER, True)
+
+        return wrapper
+
+    return decorator

autogpt/commands/__init__.py

@@ -0,0 +1,7 @@
+COMMAND_CATEGORIES = [
+    "autogpt.commands.execute_code",
+    "autogpt.commands.file_operations",
+    "autogpt.commands.web_search",
+    "autogpt.commands.web_selenium",
+    "autogpt.commands.system",
+]

autogpt/commands/decorators.py

@@ -0,0 +1,64 @@
+import functools
+from pathlib import Path
+from typing import Callable
+
+from autogpt.agents.agent import Agent
+from autogpt.logs import logger
+
+
+def sanitize_path_arg(arg_name: str):
+    def decorator(func: Callable):
+        # Get position of path parameter, in case it is passed as a positional argument
+        try:
+            arg_index = list(func.__annotations__.keys()).index(arg_name)
+        except ValueError:
+            raise TypeError(
+                f"Sanitized parameter '{arg_name}' absent or not annotated on function '{func.__name__}'"
+            )
+
+        # Get position of agent parameter, in case it is passed as a positional argument
+        try:
+            agent_arg_index = list(func.__annotations__.keys()).index("agent")
+        except ValueError:
+            raise TypeError(
+                f"Parameter 'agent' absent or not annotated on function '{func.__name__}'"
+            )
+
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            logger.debug(f"Sanitizing arg '{arg_name}' on function '{func.__name__}'")
+            logger.debug(f"Function annotations: {func.__annotations__}")
+
+            # Get Agent from the called function's arguments
+            agent = kwargs.get(
+                "agent", len(args) > agent_arg_index and args[agent_arg_index]
+            )
+            logger.debug(f"Args: {args}")
+            logger.debug(f"KWArgs: {kwargs}")
+            logger.debug(f"Agent argument lifted from function call: {agent}")
+            if not isinstance(agent, Agent):
+                raise RuntimeError("Could not get Agent from decorated command's args")
+
+            # Sanitize the specified path argument, if one is given
+            given_path: str | Path | None = kwargs.get(
+                arg_name, len(args) > arg_index and args[arg_index] or None
+            )
+            if given_path:
+                if given_path in {"", "/"}:
+                    sanitized_path = str(agent.workspace.root)
+                else:
+                    sanitized_path = str(agent.workspace.get_path(given_path))
+
+                if arg_name in kwargs:
+                    kwargs[arg_name] = sanitized_path
+                else:
+                    # args is an immutable tuple; must be converted to a list to update
+                    arg_list = list(args)
+                    arg_list[arg_index] = sanitized_path
+                    args = tuple(arg_list)
+
+            return func(*args, **kwargs)
+
+        return wrapper
+
+    return decorator

autogpt/commands/execute_code.py

@@ -0,0 +1,310 @@
+"""Commands to execute code"""
+
+COMMAND_CATEGORY = "execute_code"
+COMMAND_CATEGORY_TITLE = "Execute Code"
+
+import os
+import subprocess
+from pathlib import Path
+
+import docker
+from docker.errors import DockerException, ImageNotFound
+from docker.models.containers import Container as DockerContainer
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.config import Config
+from autogpt.logs import logger
+
+from .decorators import sanitize_path_arg
+
+ALLOWLIST_CONTROL = "allowlist"
+DENYLIST_CONTROL = "denylist"
+
+
+@command(
+    "execute_python_code",
+    "Creates a Python file and executes it",
+    {
+        "code": {
+            "type": "string",
+            "description": "The Python code to run",
+            "required": True,
+        },
+        "name": {
+            "type": "string",
+            "description": "A name to be given to the python file",
+            "required": True,
+        },
+    },
+)
+def execute_python_code(code: str, name: str, agent: Agent) -> str:
+    """Create and execute a Python file in a Docker container and return the STDOUT of the
+    executed code. If there is any data that needs to be captured use a print statement
+
+    Args:
+        code (str): The Python code to run
+        name (str): A name to be given to the Python file
+
+    Returns:
+        str: The STDOUT captured from the code when it ran
+    """
+    ai_name = agent.ai_config.ai_name
+    code_dir = agent.workspace.get_path(Path(ai_name, "executed_code"))
+    os.makedirs(code_dir, exist_ok=True)
+
+    if not name.endswith(".py"):
+        name = name + ".py"
+
+    # The `name` arg is not covered by @sanitize_path_arg,
+    # so sanitization must be done here to prevent path traversal.
+    file_path = agent.workspace.get_path(code_dir / name)
+    if not file_path.is_relative_to(code_dir):
+        return "Error: 'name' argument resulted in path traversal, operation aborted"
+
+    try:
+        with open(file_path, "w+", encoding="utf-8") as f:
+            f.write(code)
+
+        return execute_python_file(str(file_path), agent)
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+@command(
+    "execute_python_file",
+    "Executes an existing Python file",
+    {
+        "filename": {
+            "type": "string",
+            "description": "The name of te file to execute",
+            "required": True,
+        },
+    },
+)
+@sanitize_path_arg("filename")
+def execute_python_file(filename: str, agent: Agent) -> str:
+    """Execute a Python file in a Docker container and return the output
+
+    Args:
+        filename (str): The name of the file to execute
+
+    Returns:
+        str: The output of the file
+    """
+    logger.info(
+        f"Executing python file '{filename}' in working directory '{agent.config.workspace_path}'"
+    )
+
+    if not filename.endswith(".py"):
+        return "Error: Invalid file type. Only .py files are allowed."
+
+    file_path = Path(filename)
+    if not file_path.is_file():
+        # Mimic the response that you get from the command line so that it's easier to identify
+        return (
+            f"python: can't open file '{filename}': [Errno 2] No such file or directory"
+        )
+
+    if we_are_running_in_a_docker_container():
+        logger.debug(
+            f"Auto-GPT is running in a Docker container; executing {file_path} directly..."
+        )
+        result = subprocess.run(
+            ["python", str(file_path)],
+            capture_output=True,
+            encoding="utf8",
+            cwd=agent.config.workspace_path,
+        )
+        if result.returncode == 0:
+            return result.stdout
+        else:
+            return f"Error: {result.stderr}"
+
+    logger.debug("Auto-GPT is not running in a Docker container")
+    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)
+            logger.debug(f"Image '{image_name}' found locally")
+        except ImageNotFound:
+            logger.info(
+                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:
+                    logger.info(f"{status}: {progress}")
+                elif status:
+                    logger.info(status)
+
+        logger.debug(f"Running {file_path} in a {image_name} container...")
+        container: DockerContainer = client.containers.run(
+            image_name,
+            [
+                "python",
+                file_path.relative_to(agent.workspace.root).as_posix(),
+            ],
+            volumes={
+                str(agent.config.workspace_path): {
+                    "bind": "/workspace",
+                    "mode": "rw",
+                }
+            },
+            working_dir="/workspace",
+            stderr=True,
+            stdout=True,
+            detach=True,
+        )  # type: ignore
+
+        container.wait()
+        logs = container.logs().decode("utf-8")
+        container.remove()
+
+        # print(f"Execution complete. Output: {output}")
+        # print(f"Logs: {logs}")
+
+        return logs
+
+    except DockerException as e:
+        logger.warn(
+            "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 validate_command(command: str, config: Config) -> bool:
+    """Validate a command to ensure it is allowed
+
+    Args:
+        command (str): The command to validate
+        config (Config): The config to use to validate the command
+
+    Returns:
+        bool: True if the command is allowed, False otherwise
+    """
+    if not command:
+        return False
+
+    command_name = command.split()[0]
+
+    if config.shell_command_control == ALLOWLIST_CONTROL:
+        return command_name in config.shell_allowlist
+    else:
+        return command_name not in config.shell_denylist
+
+
+@command(
+    "execute_shell",
+    "Executes a Shell Command, non-interactive commands only",
+    {
+        "command_line": {
+            "type": "string",
+            "description": "The command line to execute",
+            "required": True,
+        }
+    },
+    enabled=lambda config: config.execute_local_commands,
+    disabled_reason="You are not allowed to run local shell commands. To execute"
+    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
+    "in your config file: .env - do not attempt to bypass the restriction.",
+)
+def execute_shell(command_line: str, agent: Agent) -> 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
+    """
+    if not validate_command(command_line, agent.config):
+        logger.info(f"Command '{command_line}' not allowed")
+        return "Error: This Shell Command is not allowed."
+
+    current_dir = Path.cwd()
+    # Change dir into workspace if necessary
+    if not current_dir.is_relative_to(agent.config.workspace_path):
+        os.chdir(agent.config.workspace_path)
+
+    logger.info(
+        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
+
+
+@command(
+    "execute_shell_popen",
+    "Executes a Shell Command, non-interactive commands only",
+    {
+        "command_line": {
+            "type": "string",
+            "description": "The command line to execute",
+            "required": True,
+        }
+    },
+    lambda config: config.execute_local_commands,
+    "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.",
+)
+def execute_shell_popen(command_line, agent: Agent) -> 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
+    """
+    if not validate_command(command_line, agent.config):
+        logger.info(f"Command '{command_line}' not allowed")
+        return "Error: This Shell Command is not allowed."
+
+    current_dir = os.getcwd()
+    # Change dir into workspace if necessary
+    if agent.config.workspace_path not in current_dir:
+        os.chdir(agent.config.workspace_path)
+
+    logger.info(
+        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 +1,297 @@
+"""Commands to perform operations on files"""
+
+from __future__ import annotations
+
+COMMAND_CATEGORY = "file_operations"
+COMMAND_CATEGORY_TITLE = "File Operations"
+
+import contextlib
+import hashlib
+import os
+import os.path
+from pathlib import Path
+from typing import Generator, Literal
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.logs import logger
+from autogpt.memory.vector import MemoryItem, VectorMemory
+
+from .decorators import sanitize_path_arg
+from .file_operations_utils import read_textual_file
+
+Operation = Literal["write", "append", "delete"]
+
+
+def text_checksum(text: str) -> str:
+    """Get the hex checksum for the given text."""
+    return hashlib.md5(text.encode("utf-8")).hexdigest()
+
+
+def operations_from_log(
+    log_path: str | Path,
+) -> Generator[tuple[Operation, str, str | None], None, None]:
+    """Parse the file operations log and return a tuple containing the log entries"""
+    try:
+        log = open(log_path, "r", encoding="utf-8")
+    except FileNotFoundError:
+        return
+
+    for line in log:
+        line = line.replace("File Operation Logger", "").strip()
+        if not line:
+            continue
+        operation, tail = line.split(": ", maxsplit=1)
+        operation = operation.strip()
+        if operation in ("write", "append"):
+            try:
+                path, checksum = (x.strip() for x in tail.rsplit(" #", maxsplit=1))
+            except ValueError:
+                logger.warn(f"File log entry lacks checksum: '{line}'")
+                path, checksum = tail.strip(), None
+            yield (operation, path, checksum)
+        elif operation == "delete":
+            yield (operation, tail.strip(), None)
+
+    log.close()
+
+
+def file_operations_state(log_path: str | Path) -> dict[str, str]:
+    """Iterates over the operations log and returns the expected state.
+
+    Parses a log file at config.file_logger_path to construct a dictionary that maps
+    each file path written or appended to its checksum. Deleted files are removed
+    from the dictionary.
+
+    Returns:
+        A dictionary mapping file paths to their checksums.
+
+    Raises:
+        FileNotFoundError: If config.file_logger_path is not found.
+        ValueError: If the log file content is not in the expected format.
+    """
+    state = {}
+    for operation, path, checksum in operations_from_log(log_path):
+        if operation in ("write", "append"):
+            state[path] = checksum
+        elif operation == "delete":
+            del state[path]
+    return state
+
+
+@sanitize_path_arg("filename")
+def is_duplicate_operation(
+    operation: Operation, filename: str, agent: Agent, checksum: str | None = None
+) -> bool:
+    """Check if the operation has already been performed
+
+    Args:
+        operation: The operation to check for
+        filename: The name of the file to check for
+        agent: The agent
+        checksum: The checksum of the contents to be written
+
+    Returns:
+        True if the operation has already been performed on the file
+    """
+    # Make the filename into a relative path if possible
+    with contextlib.suppress(ValueError):
+        filename = str(Path(filename).relative_to(agent.workspace.root))
+
+    state = file_operations_state(agent.config.file_logger_path)
+    if operation == "delete" and filename not in state:
+        return True
+    if operation == "write" and state.get(filename) == checksum:
+        return True
+    return False
+
+
+@sanitize_path_arg("filename")
+def log_operation(
+    operation: Operation, filename: str, agent: Agent, checksum: str | None = None
+) -> None:
+    """Log the file operation to the file_logger.txt
+
+    Args:
+        operation: The operation to log
+        filename: The name of the file the operation was performed on
+        checksum: The checksum of the contents to be written
+    """
+    # Make the filename into a relative path if possible
+    with contextlib.suppress(ValueError):
+        filename = str(Path(filename).relative_to(agent.workspace.root))
+
+    log_entry = f"{operation}: {filename}"
+    if checksum is not None:
+        log_entry += f" #{checksum}"
+    logger.debug(f"Logging file operation: {log_entry}")
+    append_to_file(
+        agent.config.file_logger_path, f"{log_entry}\n", agent, should_log=False
+    )
+
+
+@command(
+    "read_file",
+    "Read an existing file",
+    {
+        "filename": {
+            "type": "string",
+            "description": "The path of the file to read",
+            "required": True,
+        }
+    },
+)
+@sanitize_path_arg("filename")
+def read_file(filename: str, agent: Agent) -> 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:
+        content = read_textual_file(filename, logger)
+
+        # TODO: invalidate/update memory when file is edited
+        file_memory = MemoryItem.from_text_file(content, filename, agent.config)
+        if len(file_memory.chunks) > 1:
+            return file_memory.summary
+
+        return content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+def ingest_file(
+    filename: str,
+    memory: VectorMemory,
+) -> 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.
+
+    Args:
+        filename: The name of the file to ingest
+        memory: An object with an add() method to store the chunks in memory
+    """
+    try:
+        logger.info(f"Ingesting file {filename}")
+        content = read_file(filename)
+
+        # TODO: differentiate between different types of files
+        file_memory = MemoryItem.from_text_file(content, filename)
+        logger.debug(f"Created memory: {file_memory.dump(True)}")
+        memory.add(file_memory)
+
+        logger.info(f"Ingested {len(file_memory.e_chunks)} chunks from {filename}")
+    except Exception as err:
+        logger.warn(f"Error while ingesting file '{filename}': {err}")
+
+
+@command(
+    "write_to_file",
+    "Writes to a file",
+    {
+        "filename": {
+            "type": "string",
+            "description": "The name of the file to write to",
+            "required": True,
+        },
+        "text": {
+            "type": "string",
+            "description": "The text to write to the file",
+            "required": True,
+        },
+    },
+    aliases=["write_file", "create_file"],
+)
+@sanitize_path_arg("filename")
+def write_to_file(filename: str, text: str, agent: Agent) -> 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
+    """
+    checksum = text_checksum(text)
+    if is_duplicate_operation("write", filename, agent, checksum):
+        return "Error: File has already been updated."
+    try:
+        directory = os.path.dirname(filename)
+        os.makedirs(directory, exist_ok=True)
+        with open(filename, "w", encoding="utf-8") as f:
+            f.write(text)
+        log_operation("write", filename, agent, checksum)
+        return "File written to successfully."
+    except Exception as err:
+        return f"Error: {err}"
+
+
+@sanitize_path_arg("filename")
+def append_to_file(
+    filename: str, text: str, agent: Agent, should_log: 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
+        should_log (bool): Should log output
+
+    Returns:
+        str: A message indicating success or failure
+    """
+    try:
+        directory = os.path.dirname(filename)
+        os.makedirs(directory, exist_ok=True)
+        with open(filename, "a", encoding="utf-8") as f:
+            f.write(text)
+
+        if should_log:
+            with open(filename, "r", encoding="utf-8") as f:
+                checksum = text_checksum(f.read())
+            log_operation("append", filename, agent, checksum=checksum)
+
+        return "Text appended successfully."
+    except Exception as err:
+        return f"Error: {err}"
+
+
+@command(
+    "list_files",
+    "Lists Files in a Directory",
+    {
+        "directory": {
+            "type": "string",
+            "description": "The directory to list files in",
+            "required": True,
+        }
+    },
+)
+@sanitize_path_arg("directory")
+def list_files(directory: str, agent: Agent) -> list[str]:
+    """lists files in a directory recursively
+
+    Args:
+        directory (str): The directory to search in
+
+    Returns:
+        list[str]: A list of files found in the directory
+    """
+    found_files = []
+
+    for root, _, files in os.walk(directory):
+        for file in files:
+            if file.startswith("."):
+                continue
+            relative_path = os.path.relpath(
+                os.path.join(root, file), agent.config.workspace_path
+            )
+            found_files.append(relative_path)
+
+    return found_files

autogpt/commands/file_operations_utils.py

@@ -0,0 +1,161 @@
+import json
+import os
+
+import charset_normalizer
+import docx
+import markdown
+import PyPDF2
+import yaml
+from bs4 import BeautifulSoup
+from pylatexenc.latex2text import LatexNodes2Text
+
+from autogpt import logs
+from autogpt.logs import logger
+
+
+class ParserStrategy:
+    def read(self, file_path: str) -> str:
+        raise NotImplementedError
+
+
+# Basic text file reading
+class TXTParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        charset_match = charset_normalizer.from_path(file_path).best()
+        logger.debug(f"Reading '{file_path}' with encoding '{charset_match.encoding}'")
+        return str(charset_match)
+
+
+# Reading text from binary file using pdf parser
+class PDFParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        parser = PyPDF2.PdfReader(file_path)
+        text = ""
+        for page_idx in range(len(parser.pages)):
+            text += parser.pages[page_idx].extract_text()
+        return text
+
+
+# Reading text from binary file using docs parser
+class DOCXParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        doc_file = docx.Document(file_path)
+        text = ""
+        for para in doc_file.paragraphs:
+            text += para.text
+        return text
+
+
+# Reading as dictionary and returning string format
+class JSONParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            data = json.load(f)
+            text = str(data)
+        return text
+
+
+class XMLParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            soup = BeautifulSoup(f, "xml")
+            text = soup.get_text()
+        return text
+
+
+# Reading as dictionary and returning string format
+class YAMLParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            data = yaml.load(f, Loader=yaml.FullLoader)
+            text = str(data)
+        return text
+
+
+class HTMLParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            soup = BeautifulSoup(f, "html.parser")
+            text = soup.get_text()
+        return text
+
+
+class MarkdownParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            html = markdown.markdown(f.read())
+            text = "".join(BeautifulSoup(html, "html.parser").findAll(string=True))
+        return text
+
+
+class LaTeXParser(ParserStrategy):
+    def read(self, file_path: str) -> str:
+        with open(file_path, "r") as f:
+            latex = f.read()
+        text = LatexNodes2Text().latex_to_text(latex)
+        return text
+
+
+class FileContext:
+    def __init__(self, parser: ParserStrategy, logger: logs.Logger):
+        self.parser = parser
+        self.logger = logger
+
+    def set_parser(self, parser: ParserStrategy) -> None:
+        self.logger.debug(f"Setting Context Parser to {parser}")
+        self.parser = parser
+
+    def read_file(self, file_path) -> str:
+        self.logger.debug(f"Reading file {file_path} with parser {self.parser}")
+        return self.parser.read(file_path)
+
+
+extension_to_parser = {
+    ".txt": TXTParser(),
+    ".csv": TXTParser(),
+    ".pdf": PDFParser(),
+    ".docx": DOCXParser(),
+    ".json": JSONParser(),
+    ".xml": XMLParser(),
+    ".yaml": YAMLParser(),
+    ".yml": YAMLParser(),
+    ".html": HTMLParser(),
+    ".htm": HTMLParser(),
+    ".xhtml": HTMLParser(),
+    ".md": MarkdownParser(),
+    ".markdown": MarkdownParser(),
+    ".tex": LaTeXParser(),
+}
+
+
+def is_file_binary_fn(file_path: str):
+    """Given a file path load all its content and checks if the null bytes is present
+
+    Args:
+        file_path (_type_): _description_
+
+    Returns:
+        bool: is_binary
+    """
+    with open(file_path, "rb") as f:
+        file_data = f.read()
+    if b"\x00" in file_data:
+        return True
+    return False
+
+
+def read_textual_file(file_path: str, logger: logs.Logger) -> str:
+    if not os.path.isfile(file_path):
+        raise FileNotFoundError(
+            f"read_file {file_path} failed: no such file or directory"
+        )
+    is_binary = is_file_binary_fn(file_path)
+    file_extension = os.path.splitext(file_path)[1].lower()
+    parser = extension_to_parser.get(file_extension)
+    if not parser:
+        if is_binary:
+            raise ValueError(f"Unsupported binary file format: {file_extension}")
+        # fallback to txt file parser (to support script and code files loading)
+        parser = TXTParser()
+    file_context = FileContext(parser, logger)
+    return file_context.read_file(file_path)

autogpt/commands/git_operations.py

@@ -0,0 +1,55 @@
+"""Commands to perform Git operations"""
+
+COMMAND_CATEGORY = "git_operations"
+COMMAND_CATEGORY_TITLE = "Git Operations"
+
+from git.repo import Repo
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.url_utils.validators import validate_url
+
+from .decorators import sanitize_path_arg
+
+
+@command(
+    "clone_repository",
+    "Clones a Repository",
+    {
+        "url": {
+            "type": "string",
+            "description": "The URL of the repository to clone",
+            "required": True,
+        },
+        "clone_path": {
+            "type": "string",
+            "description": "The path to clone the repository to",
+            "required": True,
+        },
+    },
+    lambda config: bool(config.github_username and config.github_api_key),
+    "Configure github_username and github_api_key.",
+)
+@sanitize_path_arg("clone_path")
+@validate_url
+def clone_repository(url: str, clone_path: str, agent: Agent) -> str:
+    """Clone a GitHub repository locally.
+
+    Args:
+        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 = url.split("//")
+    auth_repo_url = (
+        f"//{agent.config.github_username}:{agent.config.github_api_key}@".join(
+            split_url
+        )
+    )
+    try:
+        Repo.clone_from(url=auth_repo_url, to_path=clone_path)
+        return f"""Cloned {url} to {clone_path}"""
+    except Exception as e:
+        return f"Error: {str(e)}"

autogpt/commands/image_gen.py

@@ -0,0 +1,204 @@
+"""Commands to generate images based on text input"""
+
+COMMAND_CATEGORY = "text_to_image"
+COMMAND_CATEGORY_TITLE = "Text to Image"
+
+import io
+import json
+import time
+import uuid
+from base64 import b64decode
+
+import openai
+import requests
+from PIL import Image
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.logs import logger
+
+
+@command(
+    "generate_image",
+    "Generates an Image",
+    {
+        "prompt": {
+            "type": "string",
+            "description": "The prompt used to generate the image",
+            "required": True,
+        },
+    },
+    lambda config: bool(config.image_provider),
+    "Requires a image provider to be set.",
+)
+def generate_image(prompt: str, agent: Agent, 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 = agent.config.workspace_path / f"{str(uuid.uuid4())}.jpg"
+
+    # DALL-E
+    if agent.config.image_provider == "dalle":
+        return generate_image_with_dalle(prompt, filename, size, agent)
+    # HuggingFace
+    elif agent.config.image_provider == "huggingface":
+        return generate_image_with_hf(prompt, filename, agent)
+    # SD WebUI
+    elif agent.config.image_provider == "sdwebui":
+        return generate_image_with_sd_webui(prompt, filename, agent, size)
+    return "No Image Provider Set"
+
+
+def generate_image_with_hf(prompt: str, filename: str, agent: Agent) -> 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/{agent.config.huggingface_image_model}"
+    if agent.config.huggingface_api_token is None:
+        raise ValueError(
+            "You need to set your Hugging Face API token in the config file."
+        )
+    headers = {
+        "Authorization": f"Bearer {agent.config.huggingface_api_token}",
+        "X-Use-Cache": "false",
+    }
+
+    retry_count = 0
+    while retry_count < 10:
+        response = requests.post(
+            API_URL,
+            headers=headers,
+            json={
+                "inputs": prompt,
+            },
+        )
+
+        if response.ok:
+            try:
+                image = Image.open(io.BytesIO(response.content))
+                logger.info(f"Image Generated for prompt:{prompt}")
+                image.save(filename)
+                return f"Saved to disk:{filename}"
+            except Exception as e:
+                logger.error(e)
+                break
+        else:
+            try:
+                error = json.loads(response.text)
+                if "estimated_time" in error:
+                    delay = error["estimated_time"]
+                    logger.debug(response.text)
+                    logger.info("Retrying in", delay)
+                    time.sleep(delay)
+                else:
+                    break
+            except Exception as e:
+                logger.error(e)
+                break
+
+        retry_count += 1
+
+    return f"Error creating image."
+
+
+def generate_image_with_dalle(
+    prompt: str, filename: str, size: int, agent: Agent
+) -> str:
+    """Generate an image with DALL-E.
+
+    Args:
+        prompt (str): The prompt to use
+        filename (str): The filename to save the image to
+        size (int): The size of the image
+
+    Returns:
+        str: The filename of the image
+    """
+
+    # Check for supported image sizes
+    if size not in [256, 512, 1024]:
+        closest = min([256, 512, 1024], key=lambda x: abs(x - size))
+        logger.info(
+            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",
+        api_key=agent.config.openai_api_key,
+    )
+
+    logger.info(f"Image Generated for prompt:{prompt}")
+
+    image_data = b64decode(response["data"][0]["b64_json"])
+
+    with open(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,
+    agent: Agent,
+    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 agent.config.sd_webui_auth:
+        username, password = agent.config.sd_webui_auth.split(":")
+        s.auth = (username, password or "")
+
+    # Generate the images
+    response = requests.post(
+        f"{agent.config.sd_webui_url}/sdapi/v1/txt2img",
+        json={
+            "prompt": prompt,
+            "negative_prompt": negative_prompt,
+            "sampler_index": "DDIM",
+            "steps": 20,
+            "config_scale": 7.0,
+            "width": size,
+            "height": size,
+            "n_iter": 1,
+            **extra,
+        },
+    )
+
+    logger.info(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(filename)
+
+    return f"Saved to disk:{filename}"

autogpt/commands/system.py

@@ -0,0 +1,37 @@
+"""Commands to control the internal state of the program"""
+
+from __future__ import annotations
+
+COMMAND_CATEGORY = "system"
+COMMAND_CATEGORY_TITLE = "System"
+
+from typing import NoReturn
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.logs import logger
+
+
+@command(
+    "goals_accomplished",
+    "Goals are accomplished and there is nothing left to do",
+    {
+        "reason": {
+            "type": "string",
+            "description": "A summary to the user of how the goals were accomplished",
+            "required": True,
+        }
+    },
+)
+def task_complete(reason: str, agent: Agent) -> NoReturn:
+    """
+    A function that takes in a string and exits the program
+
+    Parameters:
+        reason (str): A summary to the user of how the goals were accomplished.
+    Returns:
+        A result string from create chat completion. A list of suggestions to
+            improve the code.
+    """
+    logger.info(title="Shutting down...\n", message=reason)
+    quit()

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/web_search.py

@@ -0,0 +1,147 @@
+"""Commands to search the web with"""
+
+from __future__ import annotations
+
+COMMAND_CATEGORY = "web_search"
+COMMAND_CATEGORY_TITLE = "Web Search"
+
+import json
+import time
+from itertools import islice
+
+from duckduckgo_search import DDGS
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+
+DUCKDUCKGO_MAX_ATTEMPTS = 3
+
+
+@command(
+    "web_search",
+    "Searches the web",
+    {
+        "query": {
+            "type": "string",
+            "description": "The search query",
+            "required": True,
+        }
+    },
+    aliases=["search"],
+)
+def web_search(query: str, agent: Agent, 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 = []
+    attempts = 0
+
+    while attempts < DUCKDUCKGO_MAX_ATTEMPTS:
+        if not query:
+            return json.dumps(search_results)
+
+        results = DDGS().text(query)
+        search_results = list(islice(results, num_results))
+
+        if search_results:
+            break
+
+        time.sleep(1)
+        attempts += 1
+
+    results = json.dumps(search_results, ensure_ascii=False, indent=4)
+    return safe_google_results(results)
+
+
+@command(
+    "google",
+    "Google Search",
+    {
+        "query": {
+            "type": "string",
+            "description": "The search query",
+            "required": True,
+        }
+    },
+    lambda config: bool(config.google_api_key)
+    and bool(config.google_custom_search_engine_id),
+    "Configure google_api_key and custom_search_engine_id.",
+    aliases=["search"],
+)
+def google(query: str, agent: Agent, 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 = agent.config.google_api_key
+        custom_search_engine_id = agent.config.google_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}"
+    # google_result can be a list or a string depending on the search results
+
+    # Return the list of search result URLs
+    return safe_google_results(search_results_links)
+
+
+def safe_google_results(results: str | list) -> str:
+    """
+        Return the results of a Google search in a safe format.
+
+    Args:
+        results (str | list): The search results.
+
+    Returns:
+        str: The results of the search.
+    """
+    if isinstance(results, list):
+        safe_message = json.dumps(
+            [result.encode("utf-8", "ignore").decode("utf-8") for result in results]
+        )
+    else:
+        safe_message = results.encode("utf-8", "ignore").decode("utf-8")
+    return safe_message

autogpt/commands/web_selenium.py

@@ -0,0 +1,249 @@
+"""Commands for browsing a website"""
+
+from __future__ import annotations
+
+from autogpt.llm.utils.token_counter import count_string_tokens
+
+COMMAND_CATEGORY = "web_browse"
+COMMAND_CATEGORY_TITLE = "Web Browsing"
+
+import logging
+from pathlib import Path
+from sys import platform
+from typing import Optional
+
+from bs4 import BeautifulSoup
+from selenium.common.exceptions import WebDriverException
+from selenium.webdriver.chrome.options import Options as ChromeOptions
+from selenium.webdriver.chrome.service import Service as ChromeDriverService
+from selenium.webdriver.chrome.webdriver import WebDriver as ChromeDriver
+from selenium.webdriver.common.by import By
+from selenium.webdriver.common.options import ArgOptions as BrowserOptions
+from selenium.webdriver.edge.options import Options as EdgeOptions
+from selenium.webdriver.edge.service import Service as EdgeDriverService
+from selenium.webdriver.edge.webdriver import WebDriver as EdgeDriver
+from selenium.webdriver.firefox.options import Options as FirefoxOptions
+from selenium.webdriver.firefox.service import Service as GeckoDriverService
+from selenium.webdriver.firefox.webdriver import WebDriver as FirefoxDriver
+from selenium.webdriver.remote.webdriver import WebDriver
+from selenium.webdriver.safari.options import Options as SafariOptions
+from selenium.webdriver.safari.webdriver import WebDriver as SafariDriver
+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
+from webdriver_manager.microsoft import EdgeChromiumDriverManager as EdgeDriverManager
+
+from autogpt.agents.agent import Agent
+from autogpt.command_decorator import command
+from autogpt.logs import logger
+from autogpt.memory.vector import MemoryItem, get_memory
+from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
+from autogpt.url_utils.validators import validate_url
+
+FILE_DIR = Path(__file__).parent.parent
+TOKENS_TO_TRIGGER_SUMMARY = 50
+LINKS_TO_RETURN = 20
+
+
+@command(
+    "browse_website",
+    "Browses a Website",
+    {
+        "url": {"type": "string", "description": "The URL to visit", "required": True},
+        "question": {
+            "type": "string",
+            "description": "What you want to find on the website",
+            "required": True,
+        },
+    },
+)
+@validate_url
+def browse_website(url: str, question: str, agent: Agent) -> str:
+    """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:
+        str: The answer and links to the user and the webdriver
+    """
+    driver = None
+    try:
+        driver, text = scrape_text_with_selenium(url, agent)
+        add_header(driver)
+        if TOKENS_TO_TRIGGER_SUMMARY < count_string_tokens(text, agent.llm.name):
+            text = summarize_memorize_webpage(url, text, question, agent, driver)
+
+        links = scrape_links_with_selenium(driver, url)
+
+        # Limit links to LINKS_TO_RETURN
+        if len(links) > LINKS_TO_RETURN:
+            links = links[:LINKS_TO_RETURN]
+
+        return f"Answer gathered from website: {text}\n\nLinks: {links}"
+    except WebDriverException as e:
+        # These errors are often quite long and include lots of context.
+        # Just grab the first line.
+        msg = e.msg.split("\n")[0]
+        return f"Error: {msg}"
+    finally:
+        if driver:
+            close_browser(driver)
+
+
+def scrape_text_with_selenium(url: str, agent: Agent) -> 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: dict[str, BrowserOptions] = {
+        "chrome": ChromeOptions,
+        "edge": EdgeOptions,
+        "firefox": FirefoxOptions,
+        "safari": SafariOptions,
+    }
+
+    options: BrowserOptions = options_available[agent.config.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 agent.config.selenium_web_browser == "firefox":
+        if agent.config.selenium_headless:
+            options.headless = True
+            options.add_argument("--disable-gpu")
+        driver = FirefoxDriver(
+            service=GeckoDriverService(GeckoDriverManager().install()), options=options
+        )
+    elif agent.config.selenium_web_browser == "edge":
+        driver = EdgeDriver(
+            service=EdgeDriverService(EdgeDriverManager().install()), options=options
+        )
+    elif agent.config.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 = SafariDriver(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 agent.config.selenium_headless:
+            options.add_argument("--headless=new")
+            options.add_argument("--disable-gpu")
+
+        chromium_driver_path = Path("/usr/bin/chromedriver")
+
+        driver = ChromeDriver(
+            service=ChromeDriverService(str(chromium_driver_path))
+            if chromium_driver_path.exists()
+            else ChromeDriverService(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
+    """
+    try:
+        with open(f"{FILE_DIR}/js/overlay.js", "r") as overlay_file:
+            overlay_script = overlay_file.read()
+        driver.execute_script(overlay_script)
+    except Exception as e:
+        print(f"Error executing overlay.js: {e}")
+
+
+def summarize_memorize_webpage(
+    url: str,
+    text: str,
+    question: str,
+    agent: Agent,
+    driver: Optional[WebDriver] = None,
+) -> str:
+    """Summarize text using the OpenAI API
+
+    Args:
+        url (str): The url of the text
+        text (str): The text to summarize
+        question (str): The question to ask the model
+        driver (WebDriver): The webdriver to use to scroll the page
+
+    Returns:
+        str: The summary of the text
+    """
+    if not text:
+        return "Error: No text to summarize"
+
+    text_length = len(text)
+    logger.info(f"Text length: {text_length} characters")
+
+    memory = get_memory(agent.config)
+
+    new_memory = MemoryItem.from_webpage(text, url, agent.config, question=question)
+    memory.add(new_memory)
+    return new_memory.summary