Update client.ts

- Blocked by #9267

This re-introduces changes from the following PRs with fixes:
- #9218
- #9211

### Changes 🏗️

- See #9218
- See #9211

Fixes:
- Fix Prisma query statements in `v2.library.db`
- Fix creation of (library) agents
- Fix test cleanup of (library) agents
- Fix handling and passing of `node_input` parameters

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] Create & run a new agent
  - [x] Update & run an existing agent

.deepsource.toml

@@ -0,0 +1,18 @@
+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"

.dockerignore

@@ -1,40 +1,61 @@
 # Ignore everything by default, selectively add things to context
 *
 
-# AutoGPT
-!autogpt/autogpt/
-!autogpt/pyproject.toml
-!autogpt/poetry.lock
-!autogpt/README.md
-!autogpt/tests/
+# 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
 
-# Benchmark
-!benchmark/agbenchmark/
-!benchmark/pyproject.toml
-!benchmark/poetry.lock
-!benchmark/README.md
+# Platform - Backend
+!autogpt_platform/backend/backend/
+!autogpt_platform/backend/migrations/
+!autogpt_platform/backend/schema.prisma
+!autogpt_platform/backend/pyproject.toml
+!autogpt_platform/backend/poetry.lock
+!autogpt_platform/backend/README.md
 
-# Forge
-!forge/forge/
-!forge/pyproject.toml
-!forge/poetry.lock
-!forge/README.md
+# 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
 
-# Frontend
-!frontend/build/web/
+# Platform - Frontend
+!autogpt_platform/frontend/src/
+!autogpt_platform/frontend/public/
+!autogpt_platform/frontend/package.json
+!autogpt_platform/frontend/yarn.lock
+!autogpt_platform/frontend/tsconfig.json
+!autogpt_platform/frontend/README.md
+## config
+!autogpt_platform/frontend/*.config.*
+!autogpt_platform/frontend/.env.*
 
-# rnd
-!rnd/
+# 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__
-# rnd
-rnd/autogpt_builder/.next/
-rnd/autogpt_builder/node_modules
-rnd/autogpt_builder/.env.example
-rnd/autogpt_builder/.env.local
-rnd/autogpt_server/.env
-rnd/autogpt_server/.venv/
-
-rnd/market/.env

.gitattributes

@@ -1,10 +1,10 @@
-frontend/build/** linguist-generated
+classic/frontend/build/** linguist-generated
 
 **/poetry.lock linguist-generated
 
 docs/_javascript/** linguist-vendored
 
 # Exclude VCR cassettes from stats
-forge/tests/vcr_cassettes/**/**.y*ml linguist-generated
+classic/forge/tests/vcr_cassettes/**/**.y*ml linguist-generated
 
 * text=auto

.github/CODEOWNERS

@@ -1,7 +1,7 @@
 * @Significant-Gravitas/maintainers
 .github/workflows/ @Significant-Gravitas/devops
-forge/ @Significant-Gravitas/forge-maintainers
-benchmark/ @Significant-Gravitas/benchmark-maintainers
-frontend/ @Significant-Gravitas/frontend-maintainers
-rnd/infra @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/PULL_REQUEST_TEMPLATE.md

@@ -1,31 +1,38 @@
-### Background
-
 <!-- Clearly explain the need for these changes: -->
 
 ### Changes 🏗️
 
 <!-- Concisely describe all of the changes made in this pull request: -->
 
-### PR Quality Scorecard ✨
+### Checklist 📋
 
-<!--
-Check out our contribution guide:
-https://github.com/Significant-Gravitas/AutoGPT/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: -->
+  - [ ] ...
 
-1. Avoid duplicate work, issues, PRs etc.
-2. Also consider contributing something other than code; see the [contribution guide]
-   for options.
-3. Clearly explain your changes.
-4. Avoid making unnecessary changes, especially if they're purely based on personal
-   preferences. Doing so is the maintainers' job. ;-)
--->
+<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>
 
-- [x] Have you used the PR description template? &ensp; `+2 pts`
-- [ ] Is your pull request atomic, focusing on a single change? &ensp; `+5 pts`
-- [ ] Have you linked the GitHub issue(s) that this PR addresses? &ensp; `+5 pts`
-- [ ] Have you documented your changes clearly and comprehensively? &ensp; `+5 pts`
-- [ ] Have you changed or added a feature? &ensp; `-4 pts`
-  - [ ] Have you added/updated corresponding documentation? &ensp; `+4 pts`
-  - [ ] Have you added/updated corresponding integration tests? &ensp; `+5 pts`
-- [ ] Have you changed the behavior of AutoGPT? &ensp; `-5 pts`
-  - [ ] Have you also run `agbenchmark` to verify that these changes do not regress performance? &ensp; `+10 pts`
+#### For configuration changes:
+- [ ] `.env.example` 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**)
+
+<details>
+  <summary>Examples of configuration changes</summary>
+
+  - 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>

.github/dependabot.yml

@@ -0,0 +1,175 @@
+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)"
+    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)"
+    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"
+
+
+  # Submodules
+  - package-ecosystem: "gitsubmodule"
+    directory: "autogpt_platform/supabase"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 1
+    target-branch: "dev"
+    commit-message:
+      prefix: "chore(platform/deps)"
+      prefix-development: "chore(platform/deps-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

@@ -1,27 +1,32 @@
-AutoGPT Agent:
+Classic AutoGPT Agent:
 - changed-files:
-  - any-glob-to-any-file: autogpt/**
+  - 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: forge/**
-
-Benchmark:
-- changed-files:
-  - any-glob-to-any-file: benchmark/**
-
-Frontend:
-- changed-files:
-  - any-glob-to-any-file: frontend/**
+  - any-glob-to-any-file: classic/forge/**
 
 documentation:
 - changed-files:
   - any-glob-to-any-file: docs/**
 
-Builder:
+platform/frontend:
 - changed-files:
-  - any-glob-to-any-file: rnd/autogpt_builder/**
+  - any-glob-to-any-file: autogpt_platform/frontend/**
 
-Server:
+platform/backend:
 - changed-files:
-  - any-glob-to-any-file: rnd/autogpt_server/**
+  - any-glob-to-any-file: autogpt_platform/backend/**
+  - all-globs-to-all-files: '!autogpt_platform/backend/backend/blocks/**'
+
+platform/blocks:
+- changed-files:
+  - any-glob-to-any-file: autogpt_platform/backend/backend/blocks/**

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

@@ -1,41 +0,0 @@
-name: AutoGPT Builder CI
-
-on:
-  push:
-    branches: [ master ]
-    paths:
-      - '.github/workflows/autogpt-builder-ci.yml'
-      - 'rnd/autogpt_builder/**'
-  pull_request:
-    paths:
-      - '.github/workflows/autogpt-builder-ci.yml'
-      - 'rnd/autogpt_builder/**'
-
-defaults:
-  run:
-    shell: bash
-    working-directory: rnd/autogpt_builder
-
-jobs:
-
-  lint:
-    runs-on: ubuntu-latest
-
-    steps:
-    - uses: actions/checkout@v4
-    - name: Set up Node.js
-      uses: actions/setup-node@v4
-      with:
-        node-version: '21'
-
-    - name: Install dependencies
-      run: |
-        npm install
-
-    - name: Check formatting with Prettier
-      run: |
-        npx prettier --check .
-
-    - name: Run lint
-      run: |
-        npm run lint

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

@@ -1,59 +0,0 @@
-name: Purge Auto-GPT Docker CI cache
-
-on:
-  schedule:
-    - cron: 20 4 * * 1,4
-
-env:
-  BASE_BRANCH: development
-  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@v5
-      with:
-        file: 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: development
-        repository: ${{ github.repository }}
-        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || '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/autogpt-docker-release.yml

@@ -1,86 +0,0 @@
-name: 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@v5
-      with:
-        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: development
-        repository: ${{ github.repository }}
-        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || '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/autogpt-infra-ci.yml

@@ -1,56 +0,0 @@
-name: AutoGPT Builder Infra
-
-on:
-  push:
-    branches: [ master ]
-    paths:
-      - '.github/workflows/autogpt-infra-ci.yml'
-      - 'rnd/infra/**'
-  pull_request:
-    paths:
-      - '.github/workflows/autogpt-infra-ci.yml'
-      - 'rnd/infra/**'
-
-defaults:
-  run:
-    shell: bash
-    working-directory: rnd/infra
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0
-
-      - name: TFLint
-        uses: pauloconnor/tflint-action@v0.0.2
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-            tflint_path: terraform/
-            tflint_recurse: true
-            tflint_changed_only: false
-
-      - name: Set up Helm
-        uses: azure/setup-helm@v4.2.0
-        with:
-          version: v3.14.4
-
-      - name: Set up chart-testing
-        uses: helm/chart-testing-action@v2.6.0
-
-      - name: Run chart-testing (list-changed)
-        id: list-changed
-        run: |
-          changed=$(ct list-changed --target-branch ${{ github.event.repository.default_branch }})
-          if [[ -n "$changed" ]]; then
-            echo "changed=true" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Run chart-testing (lint)
-        if: steps.list-changed.outputs.changed == 'true'
-        run: ct lint --target-branch ${{ github.event.repository.default_branch }}

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

@@ -1,155 +0,0 @@
-name: AutoGPT Server CI
-
-on:
-  push:
-    branches: [master, development, ci-test*]
-    paths:
-      - ".github/workflows/autogpt-server-ci.yml"
-      - "rnd/autogpt_server/**"
-  pull_request:
-    branches: [master, development, release-*]
-    paths:
-      - ".github/workflows/autogpt-server-ci.yml"
-      - "rnd/autogpt_server/**"
-
-concurrency:
-  group: ${{ format('autogpt-server-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: rnd/autogpt_server
-
-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:
-      - name: Setup PostgreSQL
-        uses: ikalnytskyi/action-setup-postgres@v6
-        with:
-          username: ${{ secrets.DB_USER || 'postgres' }}
-          password: ${{ secrets.DB_PASS || 'postgres' }}
-          database: postgres
-          port: 5432
-        id: postgres
-
-      # 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: 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 }}-${{ hashFiles('rnd/autogpt_server/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        if: runner.os != 'Windows'
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-
-          if [ "${{ 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: Generate Prisma Client
-        run: poetry run prisma generate
-
-      - name: Run Database Migrations
-        run: poetry run prisma migrate dev --name updates
-        env:
-          CONNECTION_STR: ${{ steps.postgres.outputs.connection-uri }}
-
-      - id: lint
-        name: Run Linter
-        run: poetry run lint
-
-      - name: Run pytest with coverage
-        run: |
-          if [[ "${{ runner.debug }}" == "1" ]]; then
-            poetry run pytest -vv -o log_cli=true -o log_cli_level=DEBUG test
-          else
-            poetry run pytest -vv test
-          fi
-        if: success() || (failure() && steps.lint.outcome == 'failure')
-        env:
-          LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
-    env:
-      CI: true
-      PLAIN_OUTPUT: True
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      DB_USER: ${{ secrets.DB_USER || 'postgres' }}
-      DB_PASS: ${{ secrets.DB_PASS || 'postgres' }}
-      DB_NAME: postgres
-      DB_PORT: 5432
-      RUN_ENV: local
-      PORT: 8080
-      DATABASE_URL: postgresql://${{ secrets.DB_USER || 'postgres' }}:${{ secrets.DB_PASS || 'postgres' }}@localhost:5432/${{ secrets.DB_NAME || 'postgres'}}
-
-      # - name: Upload coverage reports to Codecov
-      #   uses: codecov/codecov-action@v4
-      #   with:
-      #     token: ${{ secrets.CODECOV_TOKEN }}
-      #     flags: autogpt-server,${{ runner.os }}

.github/workflows/autogpts-benchmark.yml

@@ -1,97 +0,0 @@
-name: AutoGPTs Nightly Benchmark
-
-on:
-  workflow_dispatch:
-  schedule:
-    - cron: '0 2 * * *'
-
-jobs:
-  benchmark:
-    permissions:
-      contents: write
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        agent-name: [ autogpt ]
-      fail-fast: false
-    timeout-minutes: 120
-    env:
-      min-python-version: '3.10'
-      REPORTS_BRANCH: data/benchmark-reports
-      REPORTS_FOLDER: ${{ format('benchmark/reports/{0}', matrix.agent-name) }}
-    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: Prepare reports folder
-        run: mkdir -p ${{ env.REPORTS_FOLDER }}
-
-      - run: poetry -C benchmark install
-
-      - name: Benchmark ${{ matrix.agent-name }}
-        run: |
-          ./run agent start ${{ matrix.agent-name }}
-          cd ${{ matrix.agent-name }}
-
-          set +e  # Do not quit on non-zero exit codes
-          poetry run agbenchmark run -N 3 \
-            --test=ReadFile \
-            --test=BasicRetrieval --test=RevenueRetrieval2 \
-            --test=CombineCsv --test=LabelCsv --test=AnswerQuestionCombineCsv \
-            --test=UrlShortener --test=TicTacToe --test=Battleship \
-            --test=WebArenaTask_0 --test=WebArenaTask_21 --test=WebArenaTask_124 \
-            --test=WebArenaTask_134 --test=WebArenaTask_163
-
-            # Convert exit code 1 (some challenges failed) to exit code 0
-            if [ $? -eq 0 ] || [ $? -eq 1 ]; then
-              exit 0
-            else
-              exit $?
-            fi
-        env:
-          AGENT_NAME: ${{ matrix.agent-name }}
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
-          REPORTS_FOLDER: ${{ format('../../{0}', env.REPORTS_FOLDER) }}  # account for changed workdir
-
-          TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
-          TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}
-
-      - name: Push reports to data branch
-        run: |
-          # BODGE: Remove success_rate.json and regression_tests.json to avoid conflicts on checkout
-          rm ${{ env.REPORTS_FOLDER }}/*.json
-
-          # Find folder with newest (untracked) report in it
-          report_subfolder=$(find ${{ env.REPORTS_FOLDER }} -type f -name 'report.json' \
-            | xargs -I {} dirname {} \
-            | xargs -I {} git ls-files --others --exclude-standard {} \
-            | xargs -I {} dirname {} \
-            | sort -u)
-          json_report_file="$report_subfolder/report.json"
-
-          # Convert JSON report to Markdown
-          markdown_report_file="$report_subfolder/report.md"
-          poetry -C benchmark run benchmark/reports/format.py "$json_report_file" > "$markdown_report_file"
-          cat "$markdown_report_file" >> $GITHUB_STEP_SUMMARY
-
-          git config --global user.name 'GitHub Actions'
-          git config --global user.email 'github-actions@agpt.co'
-          git fetch origin ${{ env.REPORTS_BRANCH }}:${{ env.REPORTS_BRANCH }} \
-            && git checkout ${{ env.REPORTS_BRANCH }} \
-            || git checkout --orphan ${{ env.REPORTS_BRANCH }}
-          git reset --hard
-          git add ${{ env.REPORTS_FOLDER }}
-          git commit -m "Benchmark report for ${{ matrix.agent-name }} @ $(date +'%Y-%m-%d')" \
-            && git push origin ${{ env.REPORTS_BRANCH }}

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

@@ -1,25 +1,25 @@
-name: AutoGPT CI
+name: Classic - AutoGPT CI
 
 on:
   push:
-    branches: [ master, development, ci-test* ]
+    branches: [ master, dev, ci-test* ]
     paths:
-      - '.github/workflows/autogpt-ci.yml'
-      - 'autogpt/**'
+      - '.github/workflows/classic-autogpt-ci.yml'
+      - 'classic/original_autogpt/**'
   pull_request:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - '.github/workflows/autogpt-ci.yml'
-      - 'autogpt/**'
+      - '.github/workflows/classic-autogpt-ci.yml'
+      - 'classic/original_autogpt/**'
 
 concurrency:
-  group: ${{ format('autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
+  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: autogpt
+    working-directory: classic/original_autogpt
 
 jobs:
   test:
@@ -86,7 +86,7 @@ jobs:
         uses: actions/cache@v4
         with:
           path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt/poetry.lock') }}
+          key: poetry-${{ runner.os }}-${{ hashFiles('classic/original_autogpt/poetry.lock') }}
 
       - name: Install Poetry (Unix)
         if: runner.os != 'Windows'
@@ -135,4 +135,4 @@ jobs:
         uses: actions/upload-artifact@v4
         with:
           name: test-logs
-          path: autogpt/logs/
+          path: classic/original_autogpt/logs/

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

@@ -0,0 +1,60 @@
+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

@@ -1,24 +1,26 @@
-name: AutoGPT Docker CI
+name: Classic - AutoGPT Docker CI
 
 on:
   push:
-    branches: [ master, development ]
+    branches: [master, dev]
     paths:
-      - '.github/workflows/autogpt-docker-ci.yml'
-      - 'autogpt/**'
+      - '.github/workflows/classic-autogpt-docker-ci.yml'
+      - 'classic/original_autogpt/**'
+      - 'classic/forge/**'
   pull_request:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - '.github/workflows/autogpt-docker-ci.yml'
-      - 'autogpt/**'
+      - '.github/workflows/classic-autogpt-docker-ci.yml'
+      - 'classic/original_autogpt/**'
+      - 'classic/forge/**'
 
 concurrency:
-  group: ${{ format('autogpt-docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
+  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: autogpt
+    working-directory: classic/original_autogpt
 
 env:
   IMAGE_NAME: auto-gpt
@@ -32,57 +34,58 @@ jobs:
       matrix:
         build-type: [release, dev]
     steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
+      - name: Checkout repository
+        uses: actions/checkout@v4
 
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v3
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
 
-    - if: runner.debug
-      run: |
-        ls -al
-        du -hs *
+      - if: runner.debug
+        run: |
+          ls -al
+          du -hs *
 
-    - id: build
-      name: Build image
-      uses: docker/build-push-action@v5
-      with:
-        file: 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
+      - 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}}
+      - 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 }}
+          build_type: ${{ matrix.build-type }}
 
-        prod_branch: master
-        dev_branch: development
-        repository: ${{ github.repository }}
-        base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || 'master' }}
+          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' || '' }}
+          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) }}
+          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) }}
+          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
+        run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
+        continue-on-error: true
 
   test:
     runs-on: ubuntu-latest
@@ -114,15 +117,16 @@ jobs:
 
       - id: build
         name: Build image
-        uses: docker/build-push-action@v5
+        uses: docker/build-push-action@v6
         with:
-          file: Dockerfile.autogpt
-          build-args: BUILD_TYPE=dev  # include pytest
+          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
+          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

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

@@ -0,0 +1,87 @@
+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

@@ -1,38 +1,43 @@
-name: Agent smoke tests
+name: Classic - Agent smoke tests
 
 on:
   workflow_dispatch:
   schedule:
     - cron: '0 8 * * *'
   push:
-    branches: [ master, development, ci-test* ]
+    branches: [ master, dev, ci-test* ]
     paths:
-      - '.github/workflows/autogpts-ci.yml'
-      - 'autogpt/**'
-      - 'forge/**'
-      - 'benchmark/**'
-      - 'run'
-      - 'cli.py'
-      - 'setup.py'
+      - '.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, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - '.github/workflows/autogpts-ci.yml'
-      - 'autogpt/**'
-      - 'forge/**'
-      - 'benchmark/**'
-      - 'run'
-      - 'cli.py'
-      - 'setup.py'
+      - '.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: [ autogpt ]
+        agent-name: [ original_autogpt ]
       fail-fast: false
     timeout-minutes: 20
     env:
@@ -50,7 +55,7 @@ jobs:
           python-version: ${{ env.min-python-version }}
 
       - name: Install Poetry
-        working-directory: ./${{ matrix.agent-name }}/
+        working-directory: ./classic/${{ matrix.agent-name }}/
         run: |
           curl -sSL https://install.python-poetry.org | python -
 

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

@@ -1,18 +1,18 @@
-name: AGBenchmark CI
+name: Classic - AGBenchmark CI
 
 on:
   push:
-    branches: [ master, development, ci-test* ]
+    branches: [ master, dev, ci-test* ]
     paths:
-      - 'benchmark/**'
-      - .github/workflows/benchmark-ci.yml
-      - '!benchmark/reports/**'
+      - 'classic/benchmark/**'
+      - '!classic/benchmark/reports/**'
+      - .github/workflows/classic-benchmark-ci.yml
   pull_request:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - 'benchmark/**'
-      - '!benchmark/reports/**'
-      - .github/workflows/benchmark-ci.yml
+      - '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) }}
@@ -39,7 +39,7 @@ jobs:
     defaults:
       run:
         shell: bash
-        working-directory: benchmark
+        working-directory: classic/benchmark
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
@@ -58,7 +58,7 @@ jobs:
         uses: actions/cache@v4
         with:
           path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('benchmark/poetry.lock') }}
+          key: poetry-${{ runner.os }}-${{ hashFiles('classic/benchmark/poetry.lock') }}
 
       - name: Install Poetry (Unix)
         if: runner.os != 'Windows'
@@ -102,7 +102,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        agent-name: [ forge ]
+        agent-name: [forge]
       fail-fast: false
     timeout-minutes: 20
     steps:
@@ -122,7 +122,7 @@ jobs:
           curl -sSL https://install.python-poetry.org | python -
 
       - name: Run regression tests
-        working-directory: .
+        working-directory: classic
         run: |
           ./run agent start ${{ matrix.agent-name }}
           cd ${{ matrix.agent-name }}
@@ -146,23 +146,23 @@ jobs:
           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
+          # 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
+          # poetry run agbenchmark --mock
 
-          CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../frontend/assets)') || echo "No diffs"
-          if [ ! -z "$CHANGED" ]; then
-            echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
-            echo "$CHANGED"
-            exit 1
-          else
-            echo "No unstaged changes."
-          fi
+          # CHANGED=$(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

.github/workflows/classic-benchmark_publish_package.yml

@@ -1,4 +1,4 @@
-name: Publish to PyPI
+name: Classic - Publish to PyPI
 
 on:
   workflow_dispatch:
@@ -21,21 +21,21 @@ jobs:
         python-version: 3.8
 
     - name: Install Poetry
-      working-directory: ./benchmark/
+      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: ./benchmark/
+      working-directory: ./classic/benchmark/
       run: poetry build
 
     - name: Install dependencies
-      working-directory: ./benchmark/
+      working-directory: ./classic/benchmark/
       run: poetry install
 
     - name: Check Version
-      working-directory: ./benchmark/
+      working-directory: ./classic/benchmark/
       id: check-version
       run: |
         echo version=$(poetry version --short) >> $GITHUB_OUTPUT
@@ -43,7 +43,7 @@ jobs:
     - name: Create Release
       uses: ncipollo/release-action@v1
       with:
-        artifacts: "benchmark/dist/*"
+        artifacts: "classic/benchmark/dist/*"
         token: ${{ secrets.GITHUB_TOKEN }}
         draft: false
         generateReleaseNotes: false
@@ -51,5 +51,5 @@ jobs:
         commit: master
 
     - name: Build and publish
-      working-directory: ./benchmark/
+      working-directory: ./classic/benchmark/
       run: poetry publish -u __token__ -p ${{ secrets.PYPI_API_TOKEN }}

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

@@ -1,18 +1,18 @@
-name: Forge CI
+name: Classic - Forge CI
 
 on:
   push:
-    branches: [ master, development, ci-test* ]
+    branches: [ master, dev, ci-test* ]
     paths:
-      - '.github/workflows/forge-ci.yml'
-      - 'forge/**'
-      - '!forge/tests/vcr_cassettes'
+      - '.github/workflows/classic-forge-ci.yml'
+      - 'classic/forge/**'
+      - '!classic/forge/tests/vcr_cassettes'
   pull_request:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - '.github/workflows/forge-ci.yml'
-      - 'forge/**'
-      - '!forge/tests/vcr_cassettes'
+      - '.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) }}
@@ -21,7 +21,7 @@ concurrency:
 defaults:
   run:
     shell: bash
-    working-directory: forge
+    working-directory: classic/forge
 
 jobs:
   test:
@@ -110,7 +110,7 @@ jobs:
         uses: actions/cache@v4
         with:
           path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
-          key: poetry-${{ runner.os }}-${{ hashFiles('forge/poetry.lock') }}
+          key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
 
       - name: Install Poetry (Unix)
         if: runner.os != 'Windows'
@@ -233,4 +233,4 @@ jobs:
         uses: actions/upload-artifact@v4
         with:
           name: test-logs
-          path: forge/logs/
+          path: classic/forge/logs/

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

@@ -0,0 +1,60 @@
+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

@@ -1,27 +1,27 @@
-name: Python checks
+name: Classic - Python checks
 
 on:
   push:
-    branches: [ master, development, ci-test* ]
+    branches: [ master, dev, ci-test* ]
     paths:
-      - '.github/workflows/lint-ci.yml'
-      - 'autogpt/**'
-      - 'forge/**'
-      - 'benchmark/**'
+      - '.github/workflows/classic-python-checks-ci.yml'
+      - 'classic/original_autogpt/**'
+      - 'classic/forge/**'
+      - 'classic/benchmark/**'
       - '**.py'
-      - '!forge/tests/vcr_cassettes'
+      - '!classic/forge/tests/vcr_cassettes'
   pull_request:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths:
-      - '.github/workflows/lint-ci.yml'
-      - 'autogpt/**'
-      - 'forge/**'
-      - 'benchmark/**'
+      - '.github/workflows/classic-python-checks-ci.yml'
+      - 'classic/original_autogpt/**'
+      - 'classic/forge/**'
+      - 'classic/benchmark/**'
       - '**.py'
-      - '!forge/tests/vcr_cassettes'
+      - '!classic/forge/tests/vcr_cassettes'
 
 concurrency:
-  group: ${{ format('lint-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
+  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:
@@ -40,18 +40,18 @@ jobs:
         uses: dorny/paths-filter@v3
         with:
           filters: |
-            autogpt:
-              - autogpt/autogpt/**
-              - autogpt/tests/**
-              - autogpt/poetry.lock
+            original_autogpt:
+              - classic/original_autogpt/autogpt/**
+              - classic/original_autogpt/tests/**
+              - classic/original_autogpt/poetry.lock
             forge:
-              - forge/forge/**
-              - forge/tests/**
-              - forge/poetry.lock
+              - classic/forge/forge/**
+              - classic/forge/tests/**
+              - classic/forge/poetry.lock
             benchmark:
-              - benchmark/agbenchmark/**
-              - benchmark/tests/**
-              - benchmark/poetry.lock
+              - classic/benchmark/agbenchmark/**
+              - classic/benchmark/tests/**
+              - classic/benchmark/poetry.lock
     outputs:
       changed-parts: ${{ steps.changes-in.outputs.changes }}
 
@@ -89,23 +89,23 @@ jobs:
       # Install dependencies
 
       - name: Install Python dependencies
-        run: poetry -C ${{ matrix.sub-package }} install
+        run: poetry -C classic/${{ matrix.sub-package }} install
 
       # Lint
 
       - name: Lint (isort)
         run: poetry run isort --check .
-        working-directory: ${{ matrix.sub-package }}
+        working-directory: classic/${{ matrix.sub-package }}
 
       - name: Lint (Black)
         if: success() || failure()
         run: poetry run black --check .
-        working-directory: ${{ matrix.sub-package }}
+        working-directory: classic/${{ matrix.sub-package }}
 
       - name: Lint (Flake8)
         if: success() || failure()
         run: poetry run flake8 .
-        working-directory: ${{ matrix.sub-package }}
+        working-directory: classic/${{ matrix.sub-package }}
 
   types:
     needs: get-changed-parts
@@ -141,11 +141,11 @@ jobs:
       # Install dependencies
 
       - name: Install Python dependencies
-        run: poetry -C ${{ matrix.sub-package }} install
+        run: poetry -C classic/${{ matrix.sub-package }} install
 
       # Typecheck
 
       - name: Typecheck
         if: success() || failure()
         run: poetry run pyright
-        working-directory: ${{ matrix.sub-package }}
+        working-directory: classic/${{ matrix.sub-package }}

.github/workflows/codeql.yml

@@ -0,0 +1,98 @@
+# 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/frontend-ci.yml

@@ -1,60 +0,0 @@
-name: Frontend CI/CD
-
-on:
-  push:
-    branches:
-      - master
-      - development
-      - 'ci-test*' # This will match any branch that starts with "ci-test"
-    paths:
-      - 'frontend/**'
-      - '.github/workflows/frontend-ci.yml'
-  pull_request:
-    paths:
-      - 'frontend/**'
-      - '.github/workflows/frontend-ci.yml'
-
-jobs:
-  build:
-    permissions:
-      contents: write
-      pull-requests: write
-    runs-on: ubuntu-latest
-    env:
-      BUILD_BRANCH: ${{ format('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 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 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@v6
-      with:
-        add-paths: 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/hackathon.yml

@@ -1,133 +0,0 @@
-name: Hackathon
-
-on:
-  workflow_dispatch:
-    inputs:
-      agents:
-        description: "Agents to run (comma-separated)"
-        required: false
-        default: "autogpt" # Default agents if none are specified
-
-jobs:
-  matrix-setup:
-    runs-on: ubuntu-latest
-    # Service containers to run with `matrix-setup`
-    services:
-      # Label used to access the service container
-      postgres:
-        # Docker Hub image
-        image: postgres
-        # Provide the password for postgres
-        env:
-          POSTGRES_PASSWORD: postgres
-        # Set health checks to wait until postgres has started
-        options: >-
-          --health-cmd pg_isready
-          --health-interval 10s
-          --health-timeout 5s
-          --health-retries 5
-        ports:
-          # Maps tcp port 5432 on service container to the host
-          - 5432:5432
-    outputs:
-      matrix: ${{ steps.set-matrix.outputs.matrix }}
-      env-name: ${{ steps.set-matrix.outputs.env-name }}
-    steps:
-      - id: set-matrix
-        run: |
-          if [ "${{ github.event_name }}" == "schedule" ]; then
-            echo "::set-output name=env-name::production"
-            echo "::set-output name=matrix::[ 'irrelevant']"
-          elif [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
-            IFS=',' read -ra matrix_array <<< "${{ github.event.inputs.agents }}"
-            matrix_string="[ \"$(echo "${matrix_array[@]}" | sed 's/ /", "/g')\" ]"
-            echo "::set-output name=env-name::production"
-            echo "::set-output name=matrix::$matrix_string"
-          else
-            echo "::set-output name=env-name::testing"
-            echo "::set-output name=matrix::[ 'irrelevant' ]"
-          fi
-
-  tests:
-    environment:
-      name: "${{ needs.matrix-setup.outputs.env-name }}"
-    needs: matrix-setup
-    env:
-      min-python-version: "3.10"
-    name: "${{ matrix.agent-name }}"
-    runs-on: ubuntu-latest
-    services:
-      # Label used to access the service container
-      postgres:
-        # Docker Hub image
-        image: postgres
-        # Provide the password for postgres
-        env:
-          POSTGRES_PASSWORD: postgres
-        # Set health checks to wait until postgres has started
-        options: >-
-          --health-cmd pg_isready
-          --health-interval 10s
-          --health-timeout 5s
-          --health-retries 5
-        ports:
-          # Maps tcp port 5432 on service container to the host
-          - 5432:5432
-    timeout-minutes: 50
-    strategy:
-      fail-fast: false
-      matrix:
-        agent-name: ${{fromJson(needs.matrix-setup.outputs.matrix)}}
-    steps:
-      - name: Print Environment Name
-        run: |
-          echo "Matrix Setup Environment Name: ${{ needs.matrix-setup.outputs.env-name }}"
-
-      - name: Check Docker Container
-        id: check
-        run: docker ps
-
-      - 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: ${{ env.min-python-version }}
-
-      - id: get_date
-        name: Get date
-        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
-
-      - name: Install Poetry
-        run: |
-          curl -sSL https://install.python-poetry.org | python -
-
-      - name: Install Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: v18.15
-
-      - name: Run benchmark
-        run: |
-          link=$(jq -r '.["github_repo_url"]' arena/$AGENT_NAME.json)
-          branch=$(jq -r '.["branch_to_benchmark"]' arena/$AGENT_NAME.json)
-          git clone "$link" -b "$branch" "$AGENT_NAME"
-          cd $AGENT_NAME
-          cp ./$AGENT_NAME/.env.example ./$AGENT_NAME/.env || echo "file not found"
-          ./run agent start $AGENT_NAME
-          cd ../benchmark
-          poetry install
-          poetry run agbenchmark --no-dep
-        env:
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          SERP_API_KEY: ${{ secrets.SERP_API_KEY }}
-          SERPAPI_API_KEY: ${{ secrets.SERP_API_KEY }}
-          WEAVIATE_API_KEY: ${{ secrets.WEAVIATE_API_KEY }}
-          WEAVIATE_URL: ${{ secrets.WEAVIATE_URL }}
-          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
-          GOOGLE_CUSTOM_SEARCH_ENGINE_ID: ${{ secrets.GOOGLE_CUSTOM_SEARCH_ENGINE_ID }}
-          AGENT_NAME: ${{ matrix.agent-name }}

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

@@ -0,0 +1,49 @@
+name: AutoGPT Platform - Deploy Prod Environment
+
+on:
+  release:
+    types: [published]
+
+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
+
+      - 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 }}
+
+          
+  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 }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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

@@ -0,0 +1,50 @@
+name: AutoGPT Platform - Deploy Dev Environment
+
+on:
+  push:
+    branches: [ dev ]
+    paths:
+      - 'autogpt_platform/**'
+
+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
+
+      - 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 }}
+
+  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.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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

@@ -0,0 +1,147 @@
+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: ["3.10"]
+    runs-on: ubuntu-latest
+
+    services:
+      redis:
+        image: bitnami/redis:6.2
+        env:
+          REDIS_PASSWORD: testpassword
+        ports:
+          - 6379:6379
+
+    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: ${{ matrix.python-version }}
+
+      - name: Setup Supabase
+        uses: supabase/setup-cli@v1
+        with:
+          version: latest
+
+      - id: get_date
+        name: Get date
+        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pypoetry
+          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
+
+      - name: Install Poetry (Unix)
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+
+          if [ "${{ runner.os }}" = "macOS" ]; then
+            PATH="$HOME/.local/bin:$PATH"
+            echo "$HOME/.local/bin" >> $GITHUB_PATH
+          fi
+
+      - name: Check poetry.lock
+        run: |
+          poetry lock
+
+          if ! git diff --quiet poetry.lock; then
+            echo "Error: poetry.lock not up to date."
+            echo
+            git diff poetry.lock
+            exit 1
+          fi
+
+      - name: Install Python dependencies
+        run: poetry install
+
+      - name: Generate Prisma Client
+        run: poetry run prisma generate
+
+      - id: supabase
+        name: Start Supabase
+        working-directory: .
+        run: |
+          supabase init
+          supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
+          supabase status -o env | sed 's/="/=/; s/"$//' >> $GITHUB_OUTPUT
+        # outputs:
+        # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
+
+      - name: Run Database Migrations
+        run: poetry run prisma migrate dev --name updates
+        env:
+          DATABASE_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 test
+          else
+            poetry run pytest -s -vv test
+          fi
+        if: success() || (failure() && steps.lint.outcome == 'failure')
+        env:
+          LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
+          DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
+          SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
+          SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
+          SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
+          REDIS_HOST: 'localhost'
+          REDIS_PORT: '6379'
+          REDIS_PASSWORD: 'testpassword'
+
+    env:
+      CI: true
+      PLAIN_OUTPUT: True
+      RUN_ENV: local
+      PORT: 8080
+      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+
+      # - name: Upload coverage reports to Codecov
+      #   uses: codecov/codecov-action@v4
+      #   with:
+      #     token: ${{ secrets.CODECOV_TOKEN }}
+      #     flags: backend,${{ runner.os }}

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

@@ -0,0 +1,120 @@
+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:
+
+defaults:
+  run:
+    shell: bash
+    working-directory: autogpt_platform/frontend
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Install dependencies
+        run: |
+          yarn install --frozen-lockfile
+
+      - name: Run lint
+        run: |
+          yarn lint
+
+  type-check:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Install dependencies
+        run: |
+          yarn install --frozen-lockfile
+
+      - name: Run tsc check
+        run: |
+          yarn type-check
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        browser: [chromium, webkit]
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          large-packages: false  # slow
+          docker-images: false  # limited benefit
+
+      - name: Copy default supabase .env
+        run: |
+          cp ../supabase/docker/.env.example ../.env
+
+      - name: Copy backend .env
+        run: |
+          cp ../backend/.env.example ../backend/.env
+
+      - name: Run docker compose
+        run: |
+          docker compose -f ../docker-compose.yml up -d
+
+      - name: Install dependencies
+        run: |
+          yarn install --frozen-lockfile
+
+      - name: Setup Builder .env
+        run: |
+          cp .env.example .env
+
+      - name: Install Browser '${{ matrix.browser }}'
+        run: yarn playwright install --with-deps ${{ matrix.browser }}
+
+      - name: Run tests
+        run: |
+          yarn test --project=${{ matrix.browser }}
+
+      - name: Print Docker Compose logs in debug mode
+        if: runner.debug
+        run: |
+          docker compose -f ../docker-compose.yml logs
+
+      - uses: actions/upload-artifact@v4
+        if: ${{ !cancelled() }}
+        with:
+          name: playwright-report-${{ matrix.browser }}
+          path: playwright-report/
+          retention-days: 30

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

@@ -1,4 +1,4 @@
-name: 'Close stale issues'
+name: Repo - Close stale issues
 on:
   schedule:
     - cron: '30 1 * * *'
@@ -25,7 +25,7 @@ jobs:
           close-issue-message: >
             This issue was closed automatically because it has been stale for 10 days
             with no activity.
-          days-before-stale: 50
+          days-before-stale: 100
           days-before-close: 10
           # Do not touch meta issues:
           exempt-issue-labels: meta,fridge,project management

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

@@ -0,0 +1,21 @@
+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-pr-label.yml

@@ -1,12 +1,12 @@
-name: "Pull Request auto-label"
+name: Repo - Pull Request auto-label
 
 on:
   # So that PRs touching the same files as the push are updated
   push:
-    branches: [ master, development, release-* ]
+    branches: [ master, dev, release-* ]
     paths-ignore:
-      - 'forge/tests/vcr_cassettes'
-      - 'benchmark/reports/**'
+      - 'classic/forge/tests/vcr_cassettes'
+      - 'classic/benchmark/reports/**'
   # 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

.github/workflows/repo-stats.yml

@@ -1,4 +1,4 @@
-name: github-repo-stats
+name: Repo - Github Stats
 
 on:
   schedule:

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

@@ -1,7 +1,8 @@
-name: PR Status Checker
+name: Repo - PR Status Checker
 on:
   pull_request:
     types: [opened, synchronize, reopened]
+  merge_group:
 
 jobs:
   status-check:
@@ -26,6 +27,6 @@ jobs:
           echo "Current directory before running Python script:"
           pwd
           echo "Attempting to run Python script:"
-          python check_actions_status.py
+          python .github/workflows/scripts/check_actions_status.py
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/scripts/check_actions_status.py

@@ -5,6 +5,8 @@ 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."""
@@ -12,7 +14,11 @@ def get_environment_variables() -> Tuple[str, str, str, str, str]:
         with open(os.environ["GITHUB_EVENT_PATH"]) as f:
             event = json.load(f)
 
-        sha = event["pull_request"]["head"]["sha"]
+        # 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"],
@@ -93,9 +99,10 @@ def main():
             break
 
         print(
-            "Some check runs are still in progress. Waiting 3 minutes before checking again..."
+            "Some check runs are still in progress. "
+            f"Waiting {CHECK_INTERVAL} seconds before checking again..."
         )
-        time.sleep(180)
+        time.sleep(CHECK_INTERVAL)
 
     if all_others_passed:
         print("All other completed check runs have passed. This check passes.")

.gitignore

@@ -1,7 +1,7 @@
 ## Original ignores
 .github_access_token
-autogpt/keys.py
-autogpt/*.json
+classic/original_autogpt/keys.py
+classic/original_autogpt/*.json
 auto_gpt_workspace/*
 *.mpeg
 .env
@@ -157,7 +157,7 @@ openai/
 CURRENT_BULLETIN.md
 
 # AgBenchmark
-agbenchmark/reports/
+classic/benchmark/agbenchmark/reports/
 
 # Nodejs
 package-lock.json
@@ -170,4 +170,9 @@ pri*
 ig*
 .github_access_token
 LICENSE.rtf
-rnd/autogpt_server/settings.py
+autogpt_platform/backend/settings.py
+/.auth
+/autogpt_platform/frontend/.auth
+
+*.ign.*
+.test-contents

.gitmodules

@@ -1,3 +1,6 @@
-[submodule "forge/tests/vcr_cassettes"]
-	path = forge/tests/vcr_cassettes
+[submodule "classic/forge/tests/vcr_cassettes"]
+	path = classic/forge/tests/vcr_cassettes
 	url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes
+[submodule "autogpt_platform/supabase"]
+	path = autogpt_platform/supabase
+	url = https://github.com/supabase/supabase.git

.pre-commit-config.yaml

@@ -10,28 +10,132 @@ repos:
       - 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: [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).
     hooks:
-      - id: isort-autogpt
-        name: Lint (isort) - AutoGPT
-        entry: poetry -C autogpt run isort
-        files: ^autogpt/
+      - 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-forge
-        name: Lint (isort) - Forge
-        entry: poetry -C forge run isort
-        files: ^forge/
+      - 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-benchmark
-        name: Lint (isort) - Benchmark
-        entry: poetry -C benchmark run isort
-        files: ^benchmark/
+      - 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
 
@@ -41,8 +145,7 @@ repos:
     # everything in .gitignore, so it works fine without any config or arguments.
     hooks:
       - id: black
-        name: Lint (Black)
-        language_version: python3.10
+        name: Format (Black)
 
   - repo: https://github.com/PyCQA/flake8
     rev: 7.0.0
@@ -50,78 +153,106 @@ repos:
     # them separately.
     hooks:
       - id: flake8
-        name: Lint (Flake8) - AutoGPT
-        alias: flake8-autogpt
-        files: ^autogpt/(autogpt|scripts|tests)/
-        args: [--config=autogpt/.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) - Forge
-        alias: flake8-forge
-        files: ^forge/(forge|tests)/
-        args: [--config=forge/.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) - Benchmark
-        alias: flake8-benchmark
-        files: ^benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
-        args: [--config=benchmark/.flake8]
+        name: Lint (Flake8) - Classic - Benchmark
+        alias: flake8-classic-benchmark
+        files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
+        args: [--config=classic/benchmark/.flake8]
 
   - 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
-        alias: pyright-autogpt
-        entry: poetry -C autogpt run pyright
-        args: [-p, autogpt, autogpt]
+        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/((autogpt|scripts|tests)/|poetry\.lock$)|forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
+        files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
         types: [file]
         language: system
         pass_filenames: false
 
       - id: pyright
-        name: Typecheck - Forge
-        alias: pyright-forge
-        entry: poetry -C forge run pyright
-        args: [-p, forge, forge]
-        files: ^forge/(forge/|poetry\.lock$)
+        name: Typecheck - AutoGPT Platform - Libs
+        alias: pyright-platform-libs
+        entry: poetry -C autogpt_platform/autogpt_libs run pyright
+        files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
         types: [file]
         language: system
         pass_filenames: false
 
       - id: pyright
-        name: Typecheck - Benchmark
-        alias: pyright-benchmark
-        entry: poetry -C benchmark run pyright
-        args: [-p, benchmark, benchmark]
-        files: ^benchmark/(agbenchmark/|tests/|poetry\.lock$)
+        name: Typecheck - Classic - AutoGPT
+        alias: pyright-classic-autogpt
+        entry: poetry -C classic/original_autogpt run pyright
+        # include forge source (since it's a path dependency) but exclude *_test.py files:
+        files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|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: pytest-autogpt
-        name: Run tests - AutoGPT (excl. slow tests)
-        entry: bash -c 'cd autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
+      - 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: ^(autogpt/((autogpt|tests)/|poetry\.lock$)|forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
+        files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
         language: system
         pass_filenames: false
 
-      - id: pytest-forge
-        name: Run tests - Forge (excl. slow tests)
-        entry: bash -c 'cd forge && poetry run pytest --cov=forge -m "not slow"'
-        files: ^forge/(forge/|tests/|poetry\.lock$)
+      - id: pytest
+        name: Run tests - Classic - Forge (excl. slow tests)
+        alias: pytest-classic-forge
+        entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
+        files: ^classic/forge/(forge/|tests/|poetry\.lock$)
         language: system
         pass_filenames: false
 
-      - id: pytest-benchmark
-        name: Run tests - Benchmark
-        entry: bash -c 'cd benchmark && poetry run pytest --cov=benchmark'
-        files: ^benchmark/(agbenchmark/|tests/|poetry\.lock$)
+      - id: pytest
+        name: Run tests - Classic - Benchmark
+        alias: pytest-classic-benchmark
+        entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
+        files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
         language: system
         pass_filenames: false

.vscode/all-projects.code-workspace

@@ -1,44 +1,45 @@
 {
   "folders": [
     {
-      "name": "autogpt",
-      "path": "../autogpt"
+      "name": "frontend",
+      "path": "../autogpt_platform/frontend"
     },
     {
-      "name": "benchmark",
-      "path": "../benchmark"
+      "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": "forge",
-      "path": "../forge"
+      "name": "classic - autogpt",
+      "path": "../classic/original_autogpt"
     },
     {
-      "name": "frontend",
-      "path": "../frontend"
+      "name": "classic - benchmark",
+      "path": "../classic/benchmark"
     },
     {
-      "name": "autogpt_server",
-      "path": "../rnd/autogpt_server"
+      "name": "classic - forge",
+      "path": "../classic/forge"
     },
     {
-      "name": "autogpt_builder",
-      "path": "../rnd/autogpt_builder"
-    },
-    {
-      "name": "market",
-      "path": "../rnd/market"
-    },
-    {
-      "name": "lib",
-      "path": "../rnd/autogpt_libs"
-    },
-    {
-      "name": "infra",
-      "path": "../rnd/infra"
+      "name": "classic - frontend",
+      "path": "../classic/frontend"
     },
     {
       "name": "[root]",

.vscode/launch.json

@@ -0,0 +1,67 @@
+{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "Frontend: Server Side",
+      "type": "node-terminal",
+      "request": "launch",
+      "cwd": "${workspaceFolder}/autogpt_platform/frontend",
+      "command": "yarn dev"
+    },
+    {
+      "name": "Frontend: Client Side",
+      "type": "msedge",
+      "request": "launch",
+      "url": "http://localhost:3000"
+    },
+    {
+      "name": "Frontend: Full Stack",
+      "type": "node-terminal",
+
+      "request": "launch",
+      "command": "yarn dev",
+      "cwd": "${workspaceFolder}/autogpt_platform/frontend",
+      "serverReadyAction": {
+        "pattern": "- Local:.+(https?://.+)",
+        "uriFormat": "%s",
+        "action": "debugWithEdge"
+      }
+    },
+    {
+      "name": "Backend",
+      "type": "debugpy",
+      "request": "launch",
+      "module": "backend.app",
+      // "env": {
+      //   "ENV": "dev"
+      // },
+      "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
+      }
+    }
+  ]
+}

CONTRIBUTING.md

@@ -10,6 +10,9 @@ Also check out our [🚀 Roadmap][roadmap] for information about our priorities
 [roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
 [kanban board]: https://github.com/orgs/Significant-Gravitas/projects/1
 
+## 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.
+
 ## In short
 1. Avoid duplicate work, issues, PRs etc.
 2. We encourage you to collaborate with fellow community members on some of our bigger

LICENSE

@@ -1,7 +1,13 @@
+All portions of this repository are under one of two licenses. The majority of the AutoGPT repository is under the MIT License below. The autogpt_platform folder is under the
+Polyform Shield License. 
+
+
 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
@@ -9,9 +15,11 @@ 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

README.md

@@ -1,43 +1,71 @@
-# AutoGPT: Build & Use AI Agents
+# AutoGPT: Build, Deploy, and Run AI Agents
 
 [![Discord Follow](https://dcbadge.vercel.app/api/server/autogpt?style=flat)](https://discord.gg/autogpt)  
 [![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT)  
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
-**AutoGPT** is a powerful tool that lets you create and run intelligent agents. These agents can perform various tasks automatically, making your life easier.
+**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. 
 
-## How to Get Started
+## Hosting Options 
+   - Download to self-host
+   - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta  
 
-https://github.com/user-attachments/assets/8508f4dc-b362-4cab-900f-644964a96cdf
+## How to Setup for Self-Hosting
+> [!NOTE]
+> Setting up and hosting the AutoGPT Platform yourself is a technical process. 
+> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.
 
-### 🧱 AutoGPT Builder 
+https://github.com/user-attachments/assets/d04273a5-b36a-4a37-818e-f631ce72d603
 
-The AutoGPT Builder is the frontend. It allows you to design agents using an easy flowchart style. You build your agent by connecting blocks, where each block performs a single action. It's simple and intuitive!
+This tutorial assumes you have Docker, VSCode, git and npm installed.
 
-[Read this guide](https://docs.agpt.co/server/new_blocks/) to learn how to build your own custom blocks.
+### 🧱 AutoGPT Frontend
+
+The AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:
+
+   **Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents. 
+   
+   **Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block     performs a single action.
+   
+   **Deployment Controls:** Manage the lifecycle of your agents, from testing to production.
+   
+   **Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.
+   
+   **Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly      interface.
+
+   **Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.
+
+[Read this guide](https://docs.agpt.co/platform/new_blocks/) to learn how to build your own custom blocks.
 
 ### 💽 AutoGPT Server
 
-The AutoGPT Server is the backend. This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously.
+The AutoGPT Server is the powerhouse of our platform This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously. It contains all the essential components that make AutoGPT run smoothly.
+
+   **Source Code:** The core logic that drives our agents and automation processes.
+   
+   **Infrastructure:** Robust systems that ensure reliable and scalable performance.
+   
+   **Marketplace:** A comprehensive marketplace where you can find and deploy a wide range of pre-built agents.
 
 ### 🐙 Example Agents
 
 Here are two examples of what you can do with AutoGPT:
 
-1. **Reddit Marketing Agent**
-   - This agent reads comments on Reddit.
-   - It looks for people asking about your product.
-   - It then automatically responds to them.
+1. **Generate Viral Videos from Trending Topics**
+   - This agent reads topics on Reddit.
+   - It identifies trending topics.
+   - It then automatically creates a short-form video based on the content. 
 
-2. **YouTube Content Repurposing Agent**
+2. **Identify Top Quotes from Videos for Social Media**
    - This agent subscribes to your YouTube channel.
    - When you post a new video, it transcribes it.
-   - It uses AI to write a search engine optimized blog post.
-   - Then, it publishes this blog post to your Medium account.
+   - It uses AI to identify the most impactful quotes to generate a summary.
+   - Then, it writes a post to automatically publish to your social media. 
 
-These examples show just a glimpse of what you can achieve with AutoGPT!
+These examples show just a glimpse of what you can achieve with AutoGPT! You can create customized workflows to build agents for any use case.
 
 ---
+### Mission and Licencing
 Our mission is to provide the tools, so that you can focus on what matters:
 
 - 🏗️ **Building** - Lay the foundation for something amazing.
@@ -50,20 +78,28 @@ Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI i
  | 
 **🚀 [Contributing](CONTRIBUTING.md)**
 
+**Licensing:**
+
+MIT License: The majority of the AutoGPT repository is under the MIT License.
+
+Polyform Shield License: This license applies to the autogpt_platform folder. 
+
+For more information, see https://agpt.co/blog/introducing-the-autogpt-platform
 
 ---
 ## 🤖 AutoGPT Classic
 > Below is information about the classic version of AutoGPT.
 
-**🛠️ [Build your own Agent - Quickstart](FORGE-QUICKSTART.md)**
+**🛠️ [Build your own Agent - Quickstart](classic/FORGE-QUICKSTART.md)**
+
 ### 🏗️ Forge
 
-**Forge your own agent!** – Forge is a ready-to-go template for your agent application. All the boilerplate code is already handled, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from the [`forge.sdk`](/forge/forge/sdk) can also be used individually to speed up development and reduce boilerplate in your agent project.
+**Forge your own agent!** – Forge is a ready-to-go toolkit to build your own agent application. It handles most of the boilerplate code, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from [`forge`](/classic/forge/) can also be used individually to speed up development and reduce boilerplate in your agent project.
 
-🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/forge/tutorials/001_getting_started.md) –
+🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/forge/tutorials/001_getting_started.md) –
 This guide will walk you through the process of creating your own agent and using the benchmark and user interface.
 
-📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/forge) about Forge
+📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge) about Forge
 
 ### 🎯 Benchmark
 
@@ -73,7 +109,7 @@ This guide will walk you through the process of creating your own agent and usin
 
 📦 [`agbenchmark`](https://pypi.org/project/agbenchmark/) on Pypi
  | 
-📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/blob/master/benchmark) about the Benchmark
+📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) about the Benchmark
 
 ### 💻 UI
 
@@ -83,7 +119,7 @@ This guide will walk you through the process of creating your own agent and usin
 
 The frontend works out-of-the-box with all agents in the repo. Just use the [CLI] to run your agent of choice!
 
-📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/frontend) about the Frontend
+📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend) about the Frontend
 
 ### ⌨️ CLI
 
@@ -122,6 +158,8 @@ To maintain a uniform standard and ensure seamless compatibility with many curre
 
 ---
 
+## Stars stats
+
 <p align="center">
 <a href="https://star-history.com/#Significant-Gravitas/AutoGPT">
   <picture>
@@ -131,3 +169,10 @@ To maintain a uniform standard and ensure seamless compatibility with many curre
   </picture>
 </a>
 </p>
+
+
+## ⚡ Contributors
+
+<a href="https://github.com/Significant-Gravitas/AutoGPT/graphs/contributors" alt="View Contributors">
+  <img src="https://contrib.rocks/image?repo=Significant-Gravitas/AutoGPT&max=1000&columns=10" alt="Contributors" />
+</a>

SECURITY.md

@@ -1,66 +1,47 @@
 # Security Policy
 
- - [**Using AutoGPT Securely**](#using-AutoGPT-securely)
-   - [Restrict Workspace](#restrict-workspace)
-   - [Untrusted inputs](#untrusted-inputs)
-   - [Data privacy](#data-privacy)
-   - [Untrusted environments or networks](#untrusted-environments-or-networks)
-   - [Multi-Tenant environments](#multi-tenant-environments)
- - [**Reporting a Vulnerability**](#reporting-a-vulnerability)
+## Reporting Security Issues
 
-## Using AutoGPT Securely
+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.**
 
-### Restrict Workspace
+> **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.
 
-Since agents can read and write files, it is important to keep them restricted to a specific workspace. This happens by default *unless* RESTRICT_TO_WORKSPACE is set to False.
+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-->
 
-Disabling RESTRICT_TO_WORKSPACE can increase security risks. However, if you still need to disable it, consider running AutoGPT inside a [sandbox](https://developers.google.com/code-sandboxing), to mitigate some of these risks.
+### 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
 
-### Untrusted inputs
+### 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
+- Share any potential mitigations or workarounds if known
 
-When handling untrusted inputs, it's crucial to isolate the execution and carefully pre-process inputs to mitigate script injection risks.
+## Supported Versions
+Only the following versions are eligible for security updates:
 
-For maximum security when handling untrusted inputs, you may need to employ the following:
+| Version | Supported |
+|---------|-----------|
+| Latest release on master branch | ✅ |
+| Development commits (pre-master) | ✅ |
+| Classic folder (deprecated) | ❌ |
+| All other versions | ❌ |
 
-* Sandboxing: Isolate the process.
-* Updates: Keep your libraries (including AutoGPT) updated with the latest security patches.
-* Input Sanitation: Before feeding data to the model, sanitize inputs rigorously. This involves techniques such as:
-    * Validation: Enforce strict rules on allowed characters and data types.
-    * Filtering: Remove potentially malicious scripts or code fragments.
-    * Encoding: Convert special characters into safe representations.
-    * Verification: Run tooling that identifies potential script injections (e.g. [models that detect prompt injection attempts](https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection)). 
+## 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
 
-### Data privacy
+## 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).
 
-To protect sensitive data from potential leaks or unauthorized access, it is crucial to sandbox the agent execution. This means running it in a secure, isolated environment, which helps mitigate many attack vectors.
-
-### Untrusted environments or networks
-
-Since AutoGPT performs network calls to the OpenAI API, it is important to always run it with trusted environments and networks. Running it on untrusted environments can expose your API KEY to attackers.
-Additionally, running it on an untrusted network can expose your data to potential network attacks. 
-
-However, even when running on trusted networks, it is important to always encrypt sensitive data while sending it over the network.
-
-### Multi-Tenant environments
-
-If you intend to run multiple AutoGPT brains in parallel, it is your responsibility to ensure the models do not interact or access each other's data.
-
-The primary areas of concern are tenant isolation, resource allocation, model sharing and hardware attacks.
-
-- Tenant Isolation: you must make sure that the tenants run separately to prevent unwanted access to the data from other tenants. Keeping model network traffic separate is also important because you not only prevent unauthorized access to data, but also prevent malicious users or tenants sending prompts to execute under another tenant’s identity.
-
-- Resource Allocation: a denial of service caused by one tenant can affect the overall system health. Implement safeguards like rate limits, access controls, and health monitoring.
-
-- Data Sharing: in a multi-tenant design with data sharing, ensure tenants and users understand the security risks and sandbox agent execution to mitigate risks.
-
-- Hardware Attacks: the hardware (GPUs or TPUs) can also be attacked. [Research](https://scholar.google.com/scholar?q=gpu+side+channel) has shown that side channel attacks on GPUs are possible, which can make data leak from other brains or processes running on the same system at the same time.
-
-## Reporting a Vulnerability
-
-Beware that none of the topics under [Using AutoGPT Securely](#using-AutoGPT-securely) are considered vulnerabilities on AutoGPT.
-
-However, If you have discovered a security vulnerability in this project, please report it privately. **Do not disclose it as a public issue.** This gives us time to work with you to fix the issue before public exposure, reducing the chance that the exploit will be used before a patch is released.
-
-Please disclose it as a private [security advisory](https://github.com/Significant-Gravitas/AutoGPT/security/advisories/new).
-
-A team of volunteers on a reasonable-effort basis maintains this project. As such, please give us at least 90 days to work on a fix before public exposure.
+---
+Last updated: November 2024

autogpt/.vscode/settings.json

@@ -1,3 +0,0 @@
-{
-  "python.analysis.typeCheckingMode": "basic",
-}

autogpt_platform/.gitignore

@@ -0,0 +1,2 @@
+*.ignore.*
+*.ign.*

autogpt_platform/Contributor License Agreement (CLA).md

@@ -0,0 +1,21 @@
+**Determinist Ltd** 
+
+**Contributor License Agreement (“Agreement”)**
+
+Thank you for your interest in the AutoGPT open source project at [https://github.com/Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) stewarded by Determinist Ltd (“**Determinist**”), with offices at 3rd Floor 1 Ashley Road, Altrincham, Cheshire, WA14 2DT, United Kingdom. The form of license below is a document that clarifies the terms under which You, the person listed below, may contribute software code described below (the “**Contribution**”) to the project.  We appreciate your participation in our project, and your help in improving our products, so we want you to understand what will be done with the Contributions.  This license is for your protection as well as the protection of Determinist and its licensees; it does not change your rights to use your own Contributions for any other purpose.        
+
+By submitting a Pull Request which modifies the content of the “autogpt\_platform” folder at [https://github.com/Significant-Gravitas/AutoGPT/tree/master/autogpt\_platform](https://github.com/Significant-Gravitas/AutoGPT/tree/master/autogpt_platform), You hereby agree:  
+
+1\.	**You grant us the ability to use the Contributions in any way**.  You hereby grant to Determinist  a non-exclusive, irrevocable, worldwide, royalty-free, sublicenseable, transferable license under all of Your relevant intellectual property rights (including copyright, patent, and any other rights), to use, copy, prepare derivative works of, distribute and publicly perform and display the Contributions on any licensing terms, including without limitation: (a) open source licenses like the GNU General Public License (GPL), the GNU Lesser General Public License (LGPL), the Common Public License, or the Berkeley Science Division license (BSD); and (b) binary, proprietary, or commercial licenses.
+
+2\. 	**Grant of Patent License**. You hereby grant to Determinist a worldwide, non-exclusive, royalty-free, irrevocable, license, under any rights you may have, now or in the future, in any patents or patent applications, to make, have made, use, offer to sell, sell, and import products containing the Contribution or portions of the Contribution.  This license extends to patent claims that are infringed by the Contribution alone or by combination of the Contribution with other inventions.  
+
+4\. 	**Limitations on Licenses**.  The licenses granted in this Agreement will continue for the duration of the applicable patent or intellectual property right under which such license is granted.   The licenses granted in this Agreement will include the right to grant and authorize sublicenses, so long as the sublicenses are within the scope of the licenses granted in this Agreement.  Except for the licenses granted herein, You reserve all right, title, and interest in and to the Contribution.    
+
+5\. 	**You are able to grant us these rights**.  You represent that You are legally entitled to grant the above license.  If Your employer has rights to intellectual property that You create, You represent that You are authorized to make the Contributions on behalf of that employer, or that Your employer has waived such rights for the Contributions.  
+
+3\.	**The Contributions are your original work**.  You represent that the Contributions are Your original works of authorship, and to Your knowledge, no other person claims, or has the right to claim, any right in any invention or patent related to the Contributions.  You also represent that You are not legally obligated, whether by entering into an agreement or otherwise, in any way that conflicts with the terms of this license.  For example, if you have signed an agreement requiring you to assign the intellectual property rights in the Contributions to an employer or customer, that would conflict with the terms of this license.  
+    
+6\.  **We determine the code that is in our products**.  You understand that the decision to include the Contribution in any product or source repository is entirely that of Determinist, and this agreement does not guarantee that the Contributions will be included in any product. 
+
+7\. **No Implied Warranties.**  Determinist acknowledges that, except as explicitly described in this Agreement, the Contribution is provided on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT   LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.    

autogpt_platform/LICENCE.txt

@@ -0,0 +1,164 @@
+# 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.

autogpt_platform/README.md

@@ -8,20 +8,60 @@ Welcome to the AutoGPT Platform - a powerful system for creating and running AI
 
 - Docker
 - Docker Compose V2 (comes with Docker Desktop, or can be installed separately)
+- Node.js & NPM (for running the frontend application)
 
 ### Running the System
 
 To run the AutoGPT Platform, follow these steps:
 
-1. Clone this repository to your local machine.
-2. Navigate to the project directory.
-3. Run the following command:
+1. Clone this repository to your local machine and navigate to the `autogpt_platform` directory within the repository:
+   ```
+   git clone <https://github.com/Significant-Gravitas/AutoGPT.git | git@github.com:Significant-Gravitas/AutoGPT.git>
+   cd AutoGPT/autogpt_platform
+   ```
 
+2. Run the following command:
+   ```
+   git submodule update --init --recursive --progress
+   ```
+   This command will initialize and update the submodules in the repository. The `supabase` folder will be cloned to the root directory.
+
+3. Run the following command:
+   ```
+   cp supabase/docker/.env.example .env
+   ```
+   This command will copy the `.env.example` file to `.env` in the `supabase/docker` directory. You can modify the `.env` file to add your own environment variables.
+
+4. Run the following command:
    ```
    docker compose up -d
    ```
+   This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
 
-   This command will start all the necessary services defined in the `docker-compose.yml` file in detached mode.
+5. Navigate to `frontend` within the `autogpt_platform` directory:
+   ```
+   cd frontend
+   ```
+   You will need to run your frontend application separately on your local machine.
+
+6. Run the following command: 
+   ```
+   cp .env.example .env.local
+   ```
+   This command will copy the `.env.example` file to `.env.local` in the `frontend` directory. You can modify the `.env.local` within this folder to add your own environment variables for the frontend application.
+
+7. Run the following command:
+   ```
+   npm install
+   npm run dev
+   ```
+   This command will install the necessary dependencies and start the frontend application in development mode.
+   If you are using Yarn, you can run the following commands instead:
+   ```
+   yarn install && yarn dev
+   ```
+
+8. Open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
 
 ### Docker Compose Commands
 
@@ -109,6 +149,3 @@ To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml
 3. Save the file and run `docker compose up -d` to apply the changes.
 
 This configuration will create named volumes for PostgreSQL and Redis, ensuring that your data persists across container restarts.
-
-
-

autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py

@@ -0,0 +1,34 @@
+import hashlib
+import secrets
+from typing import NamedTuple
+
+
+class APIKeyContainer(NamedTuple):
+    """Container for API key parts."""
+
+    raw: str
+    prefix: str
+    postfix: str
+    hash: str
+
+
+class APIKeyManager:
+    PREFIX: str = "agpt_"
+    PREFIX_LENGTH: int = 8
+    POSTFIX_LENGTH: int = 8
+
+    def generate_api_key(self) -> APIKeyContainer:
+        """Generate a new API key with all its parts."""
+        raw_key = f"{self.PREFIX}{secrets.token_urlsafe(32)}"
+        return APIKeyContainer(
+            raw=raw_key,
+            prefix=raw_key[: self.PREFIX_LENGTH],
+            postfix=raw_key[-self.POSTFIX_LENGTH :],
+            hash=hashlib.sha256(raw_key.encode()).hexdigest(),
+        )
+
+    def verify_api_key(self, provided_key: str, stored_hash: str) -> bool:
+        """Verify if a provided API key matches the stored hash."""
+        if not provided_key.startswith(self.PREFIX):
+            return False
+        return hashlib.sha256(provided_key.encode()).hexdigest() == stored_hash

autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py

@@ -1,7 +1,8 @@
 import fastapi
 
+from .config import Settings
 from .middleware import auth_middleware
-from .models import User
+from .models import DEFAULT_USER_ID, User
 
 
 def requires_user(payload: dict = fastapi.Depends(auth_middleware)) -> User:
@@ -16,8 +17,12 @@ def requires_admin_user(
 
 def verify_user(payload: dict | None, admin_only: bool) -> User:
     if not payload:
+        if Settings.ENABLE_AUTH:
+            raise fastapi.HTTPException(
+                status_code=401, detail="Authorization header is missing"
+            )
         # This handles the case when authentication is disabled
-        payload = {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"}
+        payload = {"sub": DEFAULT_USER_ID, "role": "admin"}
 
     user_id = payload.get("sub")
 
@@ -30,3 +35,12 @@ def verify_user(payload: dict | None, admin_only: bool) -> User:
         raise fastapi.HTTPException(status_code=403, detail="Admin access required")
 
     return User.from_payload(payload)
+
+
+def get_user_id(payload: dict = fastapi.Depends(auth_middleware)) -> str:
+    user_id = payload.get("sub")
+    if not user_id:
+        raise fastapi.HTTPException(
+            status_code=401, detail="User ID not found in token"
+        )
+    return user_id

autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py

@@ -7,12 +7,13 @@ from .config import settings
 from .jwt_utils import parse_jwt_token
 
 security = HTTPBearer()
+logger = logging.getLogger(__name__)
 
 
 async def auth_middleware(request: Request):
     if not settings.ENABLE_AUTH:
         # If authentication is disabled, allow the request to proceed
-        logging.warn("Auth disabled")
+        logger.warn("Auth disabled")
         return {}
 
     security = HTTPBearer()
@@ -24,7 +25,7 @@ async def auth_middleware(request: Request):
     try:
         payload = parse_jwt_token(credentials.credentials)
         request.state.user = payload
-        logging.info("Token decoded successfully")
+        logger.debug("Token decoded successfully")
     except ValueError as e:
         raise HTTPException(status_code=401, detail=str(e))
     return payload

autogpt_platform/autogpt_libs/autogpt_libs/auth/models.py

@@ -1,5 +1,8 @@
 from dataclasses import dataclass
 
+DEFAULT_USER_ID = "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+DEFAULT_EMAIL = "default@example.com"
+
 
 # Using dataclass here to avoid adding dependency on pydantic
 @dataclass(frozen=True)

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client.py

@@ -0,0 +1,167 @@
+import asyncio
+import contextlib
+import logging
+from functools import wraps
+from typing import Any, Awaitable, Callable, Dict, Optional, TypeVar, Union, cast
+
+import ldclient
+from fastapi import HTTPException
+from ldclient import Context, LDClient
+from ldclient.config import Config
+from typing_extensions import ParamSpec
+
+from .config import SETTINGS
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.DEBUG)
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+def get_client() -> LDClient:
+    """Get the LaunchDarkly client singleton."""
+    return ldclient.get()
+
+
+def initialize_launchdarkly() -> None:
+    sdk_key = SETTINGS.launch_darkly_sdk_key
+    logger.debug(
+        f"Initializing LaunchDarkly with SDK key: {'present' if sdk_key else 'missing'}"
+    )
+
+    if not sdk_key:
+        logger.warning("LaunchDarkly SDK key not configured")
+        return
+
+    config = Config(sdk_key)
+    ldclient.set_config(config)
+
+    if ldclient.get().is_initialized():
+        logger.info("LaunchDarkly client initialized successfully")
+    else:
+        logger.error("LaunchDarkly client failed to initialize")
+
+
+def shutdown_launchdarkly() -> None:
+    """Shutdown the LaunchDarkly client."""
+    if ldclient.get().is_initialized():
+        ldclient.get().close()
+        logger.info("LaunchDarkly client closed successfully")
+
+
+def create_context(
+    user_id: str, additional_attributes: Optional[Dict[str, Any]] = None
+) -> Context:
+    """Create LaunchDarkly context with optional additional attributes."""
+    builder = Context.builder(str(user_id)).kind("user")
+    if additional_attributes:
+        for key, value in additional_attributes.items():
+            builder.set(key, value)
+    return builder.build()
+
+
+def feature_flag(
+    flag_key: str,
+    default: bool = False,
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """
+    Decorator for feature flag protected endpoints.
+    """
+
+    def decorator(
+        func: Callable[P, Union[T, Awaitable[T]]],
+    ) -> Callable[P, Union[T, Awaitable[T]]]:
+        @wraps(func)
+        async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            try:
+                user_id = kwargs.get("user_id")
+                if not user_id:
+                    raise ValueError("user_id is required")
+
+                if not get_client().is_initialized():
+                    logger.warning(
+                        f"LaunchDarkly not initialized, using default={default}"
+                    )
+                    is_enabled = default
+                else:
+                    context = create_context(str(user_id))
+                    is_enabled = get_client().variation(flag_key, context, default)
+
+                if not is_enabled:
+                    raise HTTPException(status_code=404, detail="Feature not available")
+
+                result = func(*args, **kwargs)
+                if asyncio.iscoroutine(result):
+                    return await result
+                return cast(T, result)
+            except Exception as e:
+                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
+                raise
+
+        @wraps(func)
+        def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            try:
+                user_id = kwargs.get("user_id")
+                if not user_id:
+                    raise ValueError("user_id is required")
+
+                if not get_client().is_initialized():
+                    logger.warning(
+                        f"LaunchDarkly not initialized, using default={default}"
+                    )
+                    is_enabled = default
+                else:
+                    context = create_context(str(user_id))
+                    is_enabled = get_client().variation(flag_key, context, default)
+
+                if not is_enabled:
+                    raise HTTPException(status_code=404, detail="Feature not available")
+
+                return cast(T, func(*args, **kwargs))
+            except Exception as e:
+                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
+                raise
+
+        return cast(
+            Callable[P, Union[T, Awaitable[T]]],
+            async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper,
+        )
+
+    return decorator
+
+
+def percentage_rollout(
+    flag_key: str,
+    default: bool = False,
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """Decorator for percentage-based rollouts."""
+    return feature_flag(flag_key, default)
+
+
+def beta_feature(
+    flag_key: Optional[str] = None,
+    unauthorized_response: Any = {"message": "Not available in beta"},
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """Decorator for beta features."""
+    actual_key = f"beta-{flag_key}" if flag_key else "beta"
+    return feature_flag(actual_key, False)
+
+
+@contextlib.contextmanager
+def mock_flag_variation(flag_key: str, return_value: Any):
+    """Context manager for testing feature flags."""
+    original_variation = get_client().variation
+    get_client().variation = lambda key, context, default: (
+        return_value if key == flag_key else original_variation(key, context, default)
+    )
+    try:
+        yield
+    finally:
+        get_client().variation = original_variation

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client_test.py

@@ -0,0 +1,45 @@
+import pytest
+from ldclient import LDClient
+
+from autogpt_libs.feature_flag.client import feature_flag, mock_flag_variation
+
+
+@pytest.fixture
+def ld_client(mocker):
+    client = mocker.Mock(spec=LDClient)
+    mocker.patch("ldclient.get", return_value=client)
+    client.is_initialized.return_value = True
+    return client
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_enabled(ld_client):
+    ld_client.variation.return_value = True
+
+    @feature_flag("test-flag")
+    async def test_function(user_id: str):
+        return "success"
+
+    result = test_function(user_id="test-user")
+    assert result == "success"
+    ld_client.variation.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_unauthorized_response(ld_client):
+    ld_client.variation.return_value = False
+
+    @feature_flag("test-flag")
+    async def test_function(user_id: str):
+        return "success"
+
+    result = test_function(user_id="test-user")
+    assert result == {"error": "disabled"}
+
+
+def test_mock_flag_variation(ld_client):
+    with mock_flag_variation("test-flag", True):
+        assert ld_client.variation("test-flag", None, False)
+
+    with mock_flag_variation("test-flag", False):
+        assert ld_client.variation("test-flag", None, False)

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/config.py

@@ -0,0 +1,15 @@
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    launch_darkly_sdk_key: str = Field(
+        default="",
+        description="The Launch Darkly SDK key",
+        validation_alias="LAUNCH_DARKLY_SDK_KEY",
+    )
+
+    model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
+
+
+SETTINGS = Settings()

autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py

@@ -6,6 +6,7 @@ from pathlib import Path
 
 from pydantic import Field, field_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
+
 from .filters import BelowLevelFilter
 from .formatters import AGPTFormatter, StructuredLoggingFormatter
 
@@ -17,12 +18,11 @@ ERROR_LOG_FILE = "error.log"
 SIMPLE_LOG_FORMAT = "%(asctime)s %(levelname)s  %(title)s%(message)s"
 
 DEBUG_LOG_FORMAT = (
-    "%(asctime)s %(levelname)s %(filename)s:%(lineno)d" "  %(title)s%(message)s"
+    "%(asctime)s %(levelname)s %(filename)s:%(lineno)d  %(title)s%(message)s"
 )
 
 
 class LoggingConfig(BaseSettings):
-
     level: str = Field(
         default="INFO",
         description="Logging level",

autogpt_platform/autogpt_libs/autogpt_libs/logging/test_utils.py

@@ -24,10 +24,10 @@ from .utils import remove_color_codes
         ),
         ("", ""),
         ("hello", "hello"),
-        ("hello\x1B[31m world", "hello world"),
-        ("\x1B[36mHello,\x1B[32m World!", "Hello, World!"),
+        ("hello\x1b[31m world", "hello world"),
+        ("\x1b[36mHello,\x1b[32m World!", "Hello, World!"),
         (
-            "\x1B[1m\x1B[31mError:\x1B[0m\x1B[31m file not found",
+            "\x1b[1m\x1b[31mError:\x1b[0m\x1b[31m file not found",
             "Error: file not found",
         ),
     ],

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/config.py

@@ -0,0 +1,31 @@
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class RateLimitSettings(BaseSettings):
+    redis_host: str = Field(
+        default="redis://localhost:6379",
+        description="Redis host",
+        validation_alias="REDIS_HOST",
+    )
+
+    redis_port: str = Field(
+        default="6379", description="Redis port", validation_alias="REDIS_PORT"
+    )
+
+    redis_password: str = Field(
+        default="password",
+        description="Redis password",
+        validation_alias="REDIS_PASSWORD",
+    )
+
+    requests_per_minute: int = Field(
+        default=60,
+        description="Maximum number of requests allowed per minute per API key",
+        validation_alias="RATE_LIMIT_REQUESTS_PER_MINUTE",
+    )
+
+    model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
+
+
+RATE_LIMIT_SETTINGS = RateLimitSettings()

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/limiter.py

@@ -0,0 +1,51 @@
+import time
+from typing import Tuple
+
+from redis import Redis
+
+from .config import RATE_LIMIT_SETTINGS
+
+
+class RateLimiter:
+    def __init__(
+        self,
+        redis_host: str = RATE_LIMIT_SETTINGS.redis_host,
+        redis_port: str = RATE_LIMIT_SETTINGS.redis_port,
+        redis_password: str = RATE_LIMIT_SETTINGS.redis_password,
+        requests_per_minute: int = RATE_LIMIT_SETTINGS.requests_per_minute,
+    ):
+        self.redis = Redis(
+            host=redis_host,
+            port=int(redis_port),
+            password=redis_password,
+            decode_responses=True,
+        )
+        self.window = 60
+        self.max_requests = requests_per_minute
+
+    async def check_rate_limit(self, api_key_id: str) -> Tuple[bool, int, int]:
+        """
+        Check if request is within rate limits.
+
+        Args:
+            api_key_id: The API key identifier to check
+
+        Returns:
+            Tuple of (is_allowed, remaining_requests, reset_time)
+        """
+        now = time.time()
+        window_start = now - self.window
+        key = f"ratelimit:{api_key_id}:1min"
+
+        pipe = self.redis.pipeline()
+        pipe.zremrangebyscore(key, 0, window_start)
+        pipe.zadd(key, {str(now): now})
+        pipe.zcount(key, window_start, now)
+        pipe.expire(key, self.window)
+
+        _, _, request_count, _ = pipe.execute()
+
+        remaining = max(0, self.max_requests - request_count)
+        reset_time = int(now + self.window)
+
+        return request_count <= self.max_requests, remaining, reset_time

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/middleware.py

@@ -0,0 +1,32 @@
+from fastapi import HTTPException, Request
+from starlette.middleware.base import RequestResponseEndpoint
+
+from .limiter import RateLimiter
+
+
+async def rate_limit_middleware(request: Request, call_next: RequestResponseEndpoint):
+    """FastAPI middleware for rate limiting API requests."""
+    limiter = RateLimiter()
+
+    if not request.url.path.startswith("/api"):
+        return await call_next(request)
+
+    api_key = request.headers.get("Authorization")
+    if not api_key:
+        return await call_next(request)
+
+    api_key = api_key.replace("Bearer ", "")
+
+    is_allowed, remaining, reset_time = await limiter.check_rate_limit(api_key)
+
+    if not is_allowed:
+        raise HTTPException(
+            status_code=429, detail="Rate limit exceeded. Please try again later."
+        )
+
+    response = await call_next(request)
+    response.headers["X-RateLimit-Limit"] = str(limiter.max_requests)
+    response.headers["X-RateLimit-Remaining"] = str(remaining)
+    response.headers["X-RateLimit-Reset"] = str(reset_time)
+
+    return response

autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/types.py

@@ -7,7 +7,7 @@ from pydantic import BaseModel, Field, SecretStr, field_serializer
 class _BaseCredentials(BaseModel):
     id: str = Field(default_factory=lambda: str(uuid4()))
     provider: str
-    title: str
+    title: Optional[str]
 
     @field_serializer("*")
     def dump_secret_strings(value: Any, _info):
@@ -18,6 +18,8 @@ class _BaseCredentials(BaseModel):
 
 class OAuth2Credentials(_BaseCredentials):
     type: Literal["oauth2"] = "oauth2"
+    username: Optional[str]
+    """Username of the third-party service user that these credentials belong to"""
     access_token: SecretStr
     access_token_expires_at: Optional[int]
     """Unix timestamp (seconds) indicating when the access token expires (if at all)"""
@@ -27,6 +29,9 @@ class OAuth2Credentials(_BaseCredentials):
     scopes: list[str]
     metadata: dict[str, Any] = Field(default_factory=dict)
 
+    def bearer(self) -> str:
+        return f"Bearer {self.access_token.get_secret_value()}"
+
 
 class APIKeyCredentials(_BaseCredentials):
     type: Literal["api_key"] = "api_key"
@@ -34,6 +39,9 @@ class APIKeyCredentials(_BaseCredentials):
     expires_at: Optional[int]
     """Unix timestamp (seconds) indicating when the API key expires (if at all)"""
 
+    def bearer(self) -> str:
+        return f"Bearer {self.api_key.get_secret_value()}"
+
 
 Credentials = Annotated[
     OAuth2Credentials | APIKeyCredentials,
@@ -41,10 +49,15 @@ Credentials = Annotated[
 ]
 
 
+CredentialsType = Literal["api_key", "oauth2"]
+
+
 class OAuthState(BaseModel):
     token: str
     provider: str
     expires_at: int
+    code_verifier: Optional[str] = None
+    scopes: list[str]
     """Unix timestamp (seconds) indicating when this OAuth state expires"""
 
 
@@ -56,3 +69,8 @@ class UserMetadata(BaseModel):
 class UserMetadataRaw(TypedDict, total=False):
     integration_credentials: list[dict]
     integration_oauth_states: list[dict]
+
+
+class UserIntegrations(BaseModel):
+    credentials: list[Credentials] = Field(default_factory=list)
+    oauth_states: list[OAuthState] = Field(default_factory=list)

autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py

@@ -0,0 +1,20 @@
+import threading
+from typing import Callable, ParamSpec, TypeVar
+
+P = ParamSpec("P")
+R = TypeVar("R")
+
+
+def thread_cached(func: Callable[P, R]) -> Callable[P, R]:
+    thread_local = threading.local()
+
+    def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+        cache = getattr(thread_local, "cache", None)
+        if cache is None:
+            cache = thread_local.cache = {}
+        key = (args, tuple(sorted(kwargs.items())))
+        if key not in cache:
+            cache[key] = func(*args, **kwargs)
+        return cache[key]
+
+    return wrapper

autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py

@@ -0,0 +1,57 @@
+from contextlib import contextmanager
+from threading import Lock
+from typing import TYPE_CHECKING, Any
+
+from expiringdict import ExpiringDict
+
+if TYPE_CHECKING:
+    from redis import Redis
+    from redis.lock import Lock as RedisLock
+
+
+class RedisKeyedMutex:
+    """
+    This class provides a mutex that can be locked and unlocked by a specific key,
+    using Redis as a distributed locking provider.
+    It uses an ExpiringDict to automatically clear the mutex after a specified timeout,
+    in case the key is not unlocked for a specified duration, to prevent memory leaks.
+    """
+
+    def __init__(self, redis: "Redis", timeout: int | None = 60):
+        self.redis = redis
+        self.timeout = timeout
+        self.locks: dict[Any, "RedisLock"] = ExpiringDict(
+            max_len=6000, max_age_seconds=self.timeout
+        )
+        self.locks_lock = Lock()
+
+    @contextmanager
+    def locked(self, key: Any):
+        lock = self.acquire(key)
+        try:
+            yield
+        finally:
+            if lock.locked():
+                lock.release()
+
+    def acquire(self, key: Any) -> "RedisLock":
+        """Acquires and returns a lock with the given key"""
+        with self.locks_lock:
+            if key not in self.locks:
+                self.locks[key] = self.redis.lock(
+                    str(key), self.timeout, thread_local=False
+                )
+            lock = self.locks[key]
+        lock.acquire()
+        return lock
+
+    def release(self, key: Any):
+        if (lock := self.locks.get(key)) and lock.locked() and lock.owned():
+            lock.release()
+
+    def release_all_locks(self):
+        """Call this on process termination to ensure all locks are released"""
+        self.locks_lock.acquire(blocking=False)
+        for lock in self.locks.values():
+            if lock.locked() and lock.owned():
+                lock.release()

autogpt_platform/autogpt_libs/pyproject.toml

@@ -8,14 +8,27 @@ packages = [{ include = "autogpt_libs" }]
 
 [tool.poetry.dependencies]
 colorama = "^0.4.6"
-google-cloud-logging = "^3.8.0"
-pydantic = "^2.8.2"
-pydantic-settings = "^2.5.2"
-pyjwt = "^2.8.0"
+expiringdict = "^1.2.2"
+google-cloud-logging = "^3.11.4"
+pydantic = "^2.10.6"
+pydantic-settings = "^2.7.1"
+pyjwt = "^2.10.1"
+pytest-asyncio = "^0.25.3"
+pytest-mock = "^3.14.0"
 python = ">=3.10,<4.0"
 python-dotenv = "^1.0.1"
-supabase = "^2.7.2"
+supabase = "^2.13.0"
+
+[tool.poetry.group.dev.dependencies]
+redis = "^5.2.1"
+ruff = "^0.9.3"
 
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.ruff]
+line-length = 88
+
+[tool.ruff.lint]
+extend-select = ["I"]  # sort dependencies

autogpt_platform/backend/.env.example

@@ -0,0 +1,169 @@
+DB_USER=postgres
+DB_PASS=your-super-secret-and-long-postgres-password
+DB_NAME=postgres
+DB_PORT=5432
+DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@localhost:${DB_PORT}/${DB_NAME}?connect_timeout=60&schema=platform"
+PRISMA_SCHEMA="postgres/schema.prisma"
+
+BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
+
+# generate using `from cryptography.fernet import Fernet;Fernet.generate_key().decode()`
+ENCRYPTION_KEY='dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw='
+
+REDIS_HOST=localhost
+REDIS_PORT=6379
+REDIS_PASSWORD=password
+
+ENABLE_CREDIT=false
+STRIPE_API_KEY=
+STRIPE_WEBHOOK_SECRET=
+
+# What environment things should be logged under: local dev or prod
+APP_ENV=local
+# What environment to behave as: "local" or "cloud"
+BEHAVE_AS=local
+PYRO_HOST=localhost
+SENTRY_DSN=
+
+## User auth with Supabase is required for any of the 3rd party integrations with auth to work.
+ENABLE_AUTH=true
+SUPABASE_URL=http://localhost:8000
+SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
+
+# RabbitMQ credentials -- Used for communication between services
+RABBITMQ_HOST=localhost
+RABBITMQ_PORT=5672
+RABBITMQ_DEFAULT_USER=rabbitmq_user_default
+RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
+
+## For local development, you may need to set FRONTEND_BASE_URL for the OAuth flow
+## for integrations to work. Defaults to the value of PLATFORM_BASE_URL if not set.
+# FRONTEND_BASE_URL=http://localhost:3000
+
+## PLATFORM_BASE_URL must be set to a *publicly accessible* URL pointing to your backend
+## to use the platform's webhook-related functionality.
+## If you are developing locally, you can use something like ngrok to get a publc URL
+## and tunnel it to your locally running backend.
+PLATFORM_BASE_URL=http://localhost:3000
+
+## == INTEGRATION CREDENTIALS == ##
+# Each set of server side credentials is required for the corresponding 3rd party
+# integration to work.
+
+# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
+# e.g. http://localhost:3000/auth/integrations/oauth_callback
+
+# GitHub OAuth App server credentials - https://github.com/settings/developers
+GITHUB_CLIENT_ID=
+GITHUB_CLIENT_SECRET=
+
+# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
+# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
+
+# You'll need to add/enable the following scopes (minimum):
+# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
+# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
+GOOGLE_CLIENT_ID=
+GOOGLE_CLIENT_SECRET=
+
+# Twitter (X) OAuth 2.0 with PKCE Configuration
+# 1. Create a Twitter Developer Account:
+#    - Visit https://developer.x.com/en and sign up
+# 2. Set up your application:
+#    - Navigate to Developer Portal > Projects > Create Project
+#    - Add a new app to your project
+# 3. Configure app settings:
+#    - App Permissions: Read + Write + Direct Messages
+#    - App Type: Web App, Automated App or Bot
+#    - OAuth 2.0 Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+#    - Save your Client ID and Client Secret below
+TWITTER_CLIENT_ID=
+TWITTER_CLIENT_SECRET=
+
+# Linear App
+# Make a new workspace for your OAuth APP -- trust me
+# https://linear.app/settings/api/applications/new
+# Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+LINEAR_CLIENT_ID=
+LINEAR_CLIENT_SECRET=
+
+# To obtain Todoist API credentials:
+# 1. Create a Todoist account at todoist.com
+# 2. Visit the Developer Console: https://developer.todoist.com/appconsole.html
+# 3. Click "Create new app"
+# 4. Once created, copy your Client ID and Client Secret below
+TODOIST_CLIENT_ID=
+TODOIST_CLIENT_SECRET=
+
+## ===== OPTIONAL API KEYS ===== ##
+
+# LLM
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GROQ_API_KEY=
+OPEN_ROUTER_API_KEY=
+
+# Reddit
+# Go to https://www.reddit.com/prefs/apps and create a new app
+# Choose "script" for the type
+# Fill in the redirect uri as <your_frontend_url>/auth/integrations/oauth_callback, e.g. http://localhost:3000/auth/integrations/oauth_callback
+REDDIT_CLIENT_ID=
+REDDIT_CLIENT_SECRET=
+REDDIT_USER_AGENT="AutoGPT:1.0 (by /u/autogpt)"
+
+# Discord
+DISCORD_BOT_TOKEN=
+
+# SMTP/Email
+SMTP_SERVER=
+SMTP_PORT=
+SMTP_USERNAME=
+SMTP_PASSWORD=
+
+# D-ID
+DID_API_KEY=
+
+# Open Weather Map
+OPENWEATHERMAP_API_KEY=
+
+# SMTP
+SMTP_SERVER=
+SMTP_PORT=
+SMTP_USERNAME=
+SMTP_PASSWORD=
+
+# Medium
+MEDIUM_API_KEY=
+MEDIUM_AUTHOR_ID=
+
+# Google Maps
+GOOGLE_MAPS_API_KEY=
+
+# Replicate
+REPLICATE_API_KEY=
+
+# Ideogram
+IDEOGRAM_API_KEY=
+
+# Fal
+FAL_API_KEY=
+
+# Exa
+EXA_API_KEY=
+
+# E2B
+E2B_API_KEY=
+
+# Mem0
+MEM0_API_KEY=
+
+# Nvidia
+NVIDIA_API_KEY=
+
+# Logging Configuration
+LOG_LEVEL=INFO
+ENABLE_CLOUD_LOGGING=false
+ENABLE_FILE_LOGGING=false
+# Use to manually set the log directory
+# LOG_DIR=./logs

autogpt_platform/backend/.gitignore

@@ -5,4 +5,7 @@ dev.db-journal
 build/
 config.json
 secrets/*
-!secrets/.gitkeep
+!secrets/.gitkeep
+
+*.ignore.*
+*.ign.*

autogpt_platform/backend/Dockerfile

@@ -0,0 +1,79 @@
+FROM python:3.11.10-slim-bookworm AS builder
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+
+WORKDIR /app
+
+RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy
+
+RUN apt-get update --allow-releaseinfo-change --fix-missing
+
+# Install build dependencies
+RUN apt-get install -y build-essential 
+RUN apt-get install -y libpq5
+RUN apt-get install -y libz-dev
+RUN apt-get install -y libssl-dev
+RUN apt-get install -y postgresql-client
+
+ENV POETRY_HOME=/opt/poetry
+ENV POETRY_NO_INTERACTION=1
+ENV POETRY_VIRTUALENVS_CREATE=false
+ENV PATH=/opt/poetry/bin:$PATH
+
+# Upgrade pip and setuptools to fix security vulnerabilities
+RUN pip3 install --upgrade pip setuptools
+
+RUN pip3 install poetry
+
+# Copy and install dependencies
+COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
+COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
+WORKDIR /app/autogpt_platform/backend
+RUN poetry install --no-ansi --no-root
+
+# Generate Prisma client
+COPY autogpt_platform/backend/schema.prisma ./
+RUN poetry run prisma generate
+
+FROM python:3.11.10-slim-bookworm AS server_dependencies
+
+WORKDIR /app
+
+ENV POETRY_HOME=/opt/poetry \
+    POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_CREATE=false
+ENV PATH=/opt/poetry/bin:$PATH
+
+# Upgrade pip and setuptools to fix security vulnerabilities
+RUN pip3 install --upgrade pip setuptools
+
+# Copy only necessary files from builder
+COPY --from=builder /app /app
+COPY --from=builder /usr/local/lib/python3.11 /usr/local/lib/python3.11
+COPY --from=builder /usr/local/bin /usr/local/bin
+# Copy Prisma binaries
+COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
+
+
+ENV PATH="/app/.venv/bin:$PATH"
+
+RUN mkdir -p /app/autogpt_platform/autogpt_libs
+RUN mkdir -p /app/autogpt_platform/backend
+
+COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
+
+COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
+
+WORKDIR /app/autogpt_platform/backend
+
+FROM server_dependencies AS server
+
+COPY autogpt_platform/backend /app/autogpt_platform/backend
+RUN poetry install --no-ansi --only-root
+
+ENV DATABASE_URL=""
+ENV PORT=8000
+
+CMD ["poetry", "run", "rest"]

autogpt_platform/backend/README.advanced.md

@@ -37,7 +37,7 @@ We use the Poetry to manage the dependencies. To set up the project, follow thes
 5. Generate the Prisma client
 
    ```sh
-   poetry run prisma generate --schema postgres/schema.prisma
+   poetry run prisma generate
    ```
    
 
@@ -48,20 +48,20 @@ We use the Poetry to manage the dependencies. To set up the project, follow thes
    > ```
    >
    > Then run the generation again. The path *should* look something like this:  
-   > `<some path>/pypoetry/virtualenvs/autogpt-server-TQIRSwR6-py3.12/bin/prisma`
+   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
 
 6. Run the postgres database from the /rnd folder
 
    ```sh
-   cd rnd/
+   cd autogpt_platform/
    docker compose up -d
    ```
 
-7. Run the migrations (from the autogpt_server folder)
+7. Run the migrations (from the backend folder)
 
    ```sh
-   cd ../autogpt_server
-   prisma migrate dev --schema postgres/schema.prisma
+   cd ../backend
+   prisma migrate deploy
    ```
 
 ## Running The Server

autogpt_platform/backend/README.md

@@ -53,22 +53,30 @@ We use the Poetry to manage the dependencies. To set up the project, follow thes
    > ```
    >
    > Then run the generation again. The path *should* look something like this:  
-   > `<some path>/pypoetry/virtualenvs/autogpt-server-TQIRSwR6-py3.12/bin/prisma`
+   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
 
 6. Migrate the database. Be careful because this deletes current data in the database.
 
    ```sh
-   docker compose up postgres redis -d
-   poetry run prisma migrate dev 
+   docker compose up db -d
+   poetry run prisma migrate deploy
    ```
 
 ## Running The Server
 
 ### Starting the server without Docker
 
-Run the following command to build the dockerfiles:
+To run the server locally, start in the autogpt_platform folder:
 
 ```sh
+cd ..
+```
+
+Run the following command to run database in docker but the application locally:
+
+```sh
+docker compose --profile local up deps --build --detach
+cd backend
 poetry run app
 ```
 
@@ -193,10 +201,10 @@ Rest Server Daemon: 8004
 ## Adding a New Agent Block
 
 To add a new agent block, you need to create a new class that inherits from `Block` and provides the following information:
-* All the block code should live in the `blocks` (`autogpt_server.blocks`) module.
+* All the block code should live in the `blocks` (`backend.blocks`) module.
 * `input_schema`: the schema of the input data, represented by a Pydantic object.
 * `output_schema`: the schema of the output data, represented by a Pydantic object.
 * `run` method: the main logic of the block.
 * `test_input` & `test_output`: the sample input and output data for the block, which will be used to auto-test the block.
 * You can mock the functions declared in the block using the `test_mock` field for your unit tests.
-* Once you finish creating the block, you can test it by running `pytest -s test/block/test_block.py`.
+* Once you finish creating the block, you can test it by running `poetry run pytest -s test/block/test_block.py`.

autogpt_platform/backend/backend/app.py

@@ -1,7 +1,7 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from autogpt_server.util.process import AppProcess
+    from backend.util.process import AppProcess
 
 
 def run_processes(*processes: "AppProcess", **kwargs):
@@ -24,10 +24,12 @@ def main(**kwargs):
     Run all the processes required for the AutoGPT-server (REST and WebSocket APIs).
     """
 
-    from autogpt_server.executor import ExecutionManager, ExecutionScheduler
-    from autogpt_server.server import AgentServer, WebsocketServer
+    from backend.executor import DatabaseManager, ExecutionManager, ExecutionScheduler
+    from backend.server.rest_api import AgentServer
+    from backend.server.ws_api import WebsocketServer
 
     run_processes(
+        DatabaseManager(),
         ExecutionManager(),
         ExecutionScheduler(),
         WebsocketServer(),

autogpt_platform/backend/backend/blocks/__init__.py

@@ -0,0 +1,89 @@
+import importlib
+import os
+import re
+from pathlib import Path
+from typing import Type, TypeVar
+
+from backend.data.block import Block
+
+# Dynamically load all modules under backend.blocks
+AVAILABLE_MODULES = []
+current_dir = Path(__file__).parent
+modules = [
+    str(f.relative_to(current_dir))[:-3].replace(os.path.sep, ".")
+    for f in current_dir.rglob("*.py")
+    if f.is_file() and f.name != "__init__.py"
+]
+for module in modules:
+    if not re.match("^[a-z0-9_.]+$", module):
+        raise ValueError(
+            f"Block module {module} error: module name must be lowercase, "
+            "and contain only alphanumeric characters and underscores."
+        )
+
+    importlib.import_module(f".{module}", package=__name__)
+    AVAILABLE_MODULES.append(module)
+
+# Load all Block instances from the available modules
+AVAILABLE_BLOCKS: dict[str, Type[Block]] = {}
+
+
+T = TypeVar("T")
+
+
+def all_subclasses(cls: Type[T]) -> list[Type[T]]:
+    subclasses = cls.__subclasses__()
+    for subclass in subclasses:
+        subclasses += all_subclasses(subclass)
+    return subclasses
+
+
+for block_cls in all_subclasses(Block):
+    name = block_cls.__name__
+
+    if block_cls.__name__.endswith("Base"):
+        continue
+
+    if not block_cls.__name__.endswith("Block"):
+        raise ValueError(
+            f"Block class {block_cls.__name__} does not end with 'Block', If you are creating an abstract class, please name the class with 'Base' at the end"
+        )
+
+    block = block_cls.create()
+
+    if not isinstance(block.id, str) or len(block.id) != 36:
+        raise ValueError(f"Block ID {block.name} error: {block.id} is not a valid UUID")
+
+    if block.id in AVAILABLE_BLOCKS:
+        raise ValueError(f"Block ID {block.name} error: {block.id} is already in use")
+
+    input_schema = block.input_schema.model_fields
+    output_schema = block.output_schema.model_fields
+
+    # Make sure `error` field is a string in the output schema
+    if "error" in output_schema and output_schema["error"].annotation is not str:
+        raise ValueError(
+            f"{block.name} `error` field in output_schema must be a string"
+        )
+
+    # Make sure all fields in input_schema and output_schema are annotated and has a value
+    for field_name, field in [*input_schema.items(), *output_schema.items()]:
+        if field.annotation is None:
+            raise ValueError(
+                f"{block.name} has a field {field_name} that is not annotated"
+            )
+        if field.json_schema_extra is None:
+            raise ValueError(
+                f"{block.name} has a field {field_name} not defined as SchemaField"
+            )
+
+    for field in block.input_schema.model_fields.values():
+        if field.annotation is bool and field.default not in (True, False):
+            raise ValueError(f"{block.name} has a boolean field with no default value")
+
+    if block.disabled:
+        continue
+
+    AVAILABLE_BLOCKS[block.id] = block_cls
+
+__all__ = ["AVAILABLE_MODULES", "AVAILABLE_BLOCKS"]

autogpt_platform/backend/backend/blocks/agent.py

@@ -0,0 +1,104 @@
+import logging
+
+from autogpt_libs.utils.cache import thread_cached
+
+from backend.data.block import (
+    Block,
+    BlockCategory,
+    BlockInput,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    get_block,
+)
+from backend.data.execution import ExecutionStatus
+from backend.data.model import SchemaField
+
+logger = logging.getLogger(__name__)
+
+
+@thread_cached
+def get_executor_manager_client():
+    from backend.executor import ExecutionManager
+    from backend.util.service import get_service_client
+
+    return get_service_client(ExecutionManager)
+
+
+@thread_cached
+def get_event_bus():
+    from backend.data.execution import RedisExecutionEventBus
+
+    return RedisExecutionEventBus()
+
+
+class AgentExecutorBlock(Block):
+    class Input(BlockSchema):
+        user_id: str = SchemaField(description="User ID")
+        graph_id: str = SchemaField(description="Graph ID")
+        graph_version: int = SchemaField(description="Graph Version")
+
+        data: BlockInput = SchemaField(description="Input data for the graph")
+        input_schema: dict = SchemaField(description="Input schema for the graph")
+        output_schema: dict = SchemaField(description="Output schema for the graph")
+
+    class Output(BlockSchema):
+        pass
+
+    def __init__(self):
+        super().__init__(
+            id="e189baac-8c20-45a1-94a7-55177ea42565",
+            description="Executes an existing agent inside your agent",
+            input_schema=AgentExecutorBlock.Input,
+            output_schema=AgentExecutorBlock.Output,
+            block_type=BlockType.AGENT,
+            categories={BlockCategory.AGENT},
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        executor_manager = get_executor_manager_client()
+        event_bus = get_event_bus()
+
+        graph_exec = executor_manager.add_execution(
+            graph_id=input_data.graph_id,
+            graph_version=input_data.graph_version,
+            user_id=input_data.user_id,
+            data=input_data.data,
+        )
+        log_id = f"Graph #{input_data.graph_id}-V{input_data.graph_version}, exec-id: {graph_exec.graph_exec_id}"
+        logger.info(f"Starting execution of {log_id}")
+
+        for event in event_bus.listen(
+            graph_id=graph_exec.graph_id, graph_exec_id=graph_exec.graph_exec_id
+        ):
+            logger.info(
+                f"Execution {log_id} produced input {event.input_data} output {event.output_data}"
+            )
+
+            if not event.node_id:
+                if event.status in [
+                    ExecutionStatus.COMPLETED,
+                    ExecutionStatus.TERMINATED,
+                    ExecutionStatus.FAILED,
+                ]:
+                    logger.info(f"Execution {log_id} ended with status {event.status}")
+                    break
+                else:
+                    continue
+
+            if not event.block_id:
+                logger.warning(f"{log_id} received event without block_id {event}")
+                continue
+
+            block = get_block(event.block_id)
+            if not block or block.block_type != BlockType.OUTPUT:
+                continue
+
+            output_name = event.input_data.get("name")
+            if not output_name:
+                logger.warning(f"{log_id} produced an output with no name {event}")
+                continue
+
+            for output_data in event.output_data.get("output", []):
+                logger.info(f"Execution {log_id} produced {output_name}: {output_data}")
+                yield output_name, output_data

autogpt_platform/backend/backend/blocks/ai_image_generator_block.py

@@ -0,0 +1,325 @@
+from enum import Enum
+from typing import Literal
+
+import replicate
+from pydantic import SecretStr
+from replicate.helpers import FileOutput
+
+from backend.data.block import Block, BlockCategory, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+
+
+class ImageSize(str, Enum):
+    """
+    Semantic sizes that map reliably across all models
+    """
+
+    SQUARE = "square"  # For profile pictures, icons, etc.
+    LANDSCAPE = "landscape"  # For traditional photos, scenes
+    PORTRAIT = "portrait"  # For vertical photos, portraits
+    WIDE = "wide"  # For cinematic, desktop wallpapers
+    TALL = "tall"  # For mobile wallpapers, stories
+
+
+# Mapping semantic sizes to model-specific formats
+SIZE_TO_SD_RATIO = {
+    ImageSize.SQUARE: "1:1",
+    ImageSize.LANDSCAPE: "4:3",
+    ImageSize.PORTRAIT: "3:4",
+    ImageSize.WIDE: "16:9",
+    ImageSize.TALL: "9:16",
+}
+
+SIZE_TO_FLUX_RATIO = {
+    ImageSize.SQUARE: "1:1",
+    ImageSize.LANDSCAPE: "4:3",
+    ImageSize.PORTRAIT: "3:4",
+    ImageSize.WIDE: "16:9",
+    ImageSize.TALL: "9:16",
+}
+
+SIZE_TO_FLUX_DIMENSIONS = {
+    ImageSize.SQUARE: (1024, 1024),
+    ImageSize.LANDSCAPE: (1365, 1024),
+    ImageSize.PORTRAIT: (1024, 1365),
+    ImageSize.WIDE: (1440, 810),  # Adjusted to maintain 16:9 within 1440 limit
+    ImageSize.TALL: (810, 1440),  # Adjusted to maintain 9:16 within 1440 limit
+}
+
+SIZE_TO_RECRAFT_DIMENSIONS = {
+    ImageSize.SQUARE: "1024x1024",
+    ImageSize.LANDSCAPE: "1365x1024",
+    ImageSize.PORTRAIT: "1024x1365",
+    ImageSize.WIDE: "1536x1024",
+    ImageSize.TALL: "1024x1536",
+}
+
+
+class ImageStyle(str, Enum):
+    """
+    Complete set of supported styles
+    """
+
+    ANY = "any"
+    # Realistic image styles
+    REALISTIC = "realistic_image"
+    REALISTIC_BW = "realistic_image/b_and_w"
+    REALISTIC_HDR = "realistic_image/hdr"
+    REALISTIC_NATURAL = "realistic_image/natural_light"
+    REALISTIC_STUDIO = "realistic_image/studio_portrait"
+    REALISTIC_ENTERPRISE = "realistic_image/enterprise"
+    REALISTIC_HARD_FLASH = "realistic_image/hard_flash"
+    REALISTIC_MOTION_BLUR = "realistic_image/motion_blur"
+    # Digital illustration styles
+    DIGITAL_ART = "digital_illustration"
+    PIXEL_ART = "digital_illustration/pixel_art"
+    HAND_DRAWN = "digital_illustration/hand_drawn"
+    GRAIN = "digital_illustration/grain"
+    SKETCH = "digital_illustration/infantile_sketch"
+    POSTER = "digital_illustration/2d_art_poster"
+    POSTER_2 = "digital_illustration/2d_art_poster_2"
+    HANDMADE_3D = "digital_illustration/handmade_3d"
+    HAND_DRAWN_OUTLINE = "digital_illustration/hand_drawn_outline"
+    ENGRAVING_COLOR = "digital_illustration/engraving_color"
+
+
+class ImageGenModel(str, Enum):
+    """
+    Available model providers
+    """
+
+    FLUX = "Flux 1.1 Pro"
+    FLUX_ULTRA = "Flux 1.1 Pro Ultra"
+    RECRAFT = "Recraft v3"
+    SD3_5 = "Stable Diffusion 3.5 Medium"
+
+
+class AIImageGeneratorBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REPLICATE], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your Replicate API key to access the image generation API. You can obtain an API key from https://replicate.com/account/api-tokens.",
+        )
+        prompt: str = SchemaField(
+            description="Text prompt for image generation",
+            placeholder="e.g., 'A red panda using a laptop in a snowy forest'",
+            title="Prompt",
+        )
+        model: ImageGenModel = SchemaField(
+            description="The AI model to use for image generation",
+            default=ImageGenModel.SD3_5,
+            title="Model",
+        )
+        size: ImageSize = SchemaField(
+            description=(
+                "Format of the generated image:\n"
+                "- Square: Perfect for profile pictures, icons\n"
+                "- Landscape: Traditional photo format\n"
+                "- Portrait: Vertical photos, portraits\n"
+                "- Wide: Cinematic format, desktop wallpapers\n"
+                "- Tall: Mobile wallpapers, social media stories"
+            ),
+            default=ImageSize.SQUARE,
+            title="Image Format",
+        )
+        style: ImageStyle = SchemaField(
+            description="Visual style for the generated image",
+            default=ImageStyle.ANY,
+            title="Image Style",
+        )
+
+    class Output(BlockSchema):
+        image_url: str = SchemaField(description="URL of the generated image")
+        error: str = SchemaField(description="Error message if generation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ed1ae7a0-b770-4089-b520-1f0005fad19a",
+            description="Generate images using various AI models through a unified interface",
+            categories={BlockCategory.AI},
+            input_schema=AIImageGeneratorBlock.Input,
+            output_schema=AIImageGeneratorBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "prompt": "An octopus using a laptop in a snowy forest with 'AutoGPT' clearly visible on the screen",
+                "model": ImageGenModel.RECRAFT,
+                "size": ImageSize.SQUARE,
+                "style": ImageStyle.REALISTIC,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "image_url",
+                    "https://replicate.delivery/generated-image.webp",
+                ),
+            ],
+            test_mock={
+                "_run_client": lambda *args, **kwargs: "https://replicate.delivery/generated-image.webp"
+            },
+        )
+
+    def _run_client(
+        self, credentials: APIKeyCredentials, model_name: str, input_params: dict
+    ):
+        try:
+            # Initialize Replicate client
+            client = replicate.Client(api_token=credentials.api_key.get_secret_value())
+
+            # Run the model with input parameters
+            output = client.run(model_name, input=input_params, wait=False)
+
+            # Process output
+            if isinstance(output, list) and len(output) > 0:
+                if isinstance(output[0], FileOutput):
+                    result_url = output[0].url
+                else:
+                    result_url = output[0]
+            elif isinstance(output, FileOutput):
+                result_url = output.url
+            elif isinstance(output, str):
+                result_url = output
+            else:
+                result_url = None
+
+            return result_url
+
+        except TypeError as e:
+            raise TypeError(f"Error during model execution: {e}")
+        except Exception as e:
+            raise RuntimeError(f"Unexpected error during model execution: {e}")
+
+    def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
+        try:
+            # Handle style-based prompt modification for models without native style support
+            modified_prompt = input_data.prompt
+            if input_data.model not in [ImageGenModel.RECRAFT]:
+                style_prefix = self._style_to_prompt_prefix(input_data.style)
+                modified_prompt = f"{style_prefix} {modified_prompt}".strip()
+
+            if input_data.model == ImageGenModel.SD3_5:
+                # Use Stable Diffusion 3.5 with aspect ratio
+                input_params = {
+                    "prompt": modified_prompt,
+                    "aspect_ratio": SIZE_TO_SD_RATIO[input_data.size],
+                    "output_format": "webp",
+                    "output_quality": 90,
+                    "steps": 40,
+                    "cfg_scale": 7.0,
+                }
+                output = self._run_client(
+                    credentials,
+                    "stability-ai/stable-diffusion-3.5-medium",
+                    input_params,
+                )
+                return output
+
+            elif input_data.model == ImageGenModel.FLUX:
+                # Use Flux-specific dimensions with 'jpg' format to avoid ReplicateError
+                width, height = SIZE_TO_FLUX_DIMENSIONS[input_data.size]
+                input_params = {
+                    "prompt": modified_prompt,
+                    "width": width,
+                    "height": height,
+                    "aspect_ratio": SIZE_TO_FLUX_RATIO[input_data.size],
+                    "output_format": "jpg",  # Set to jpg for Flux models
+                    "output_quality": 90,
+                }
+                output = self._run_client(
+                    credentials, "black-forest-labs/flux-1.1-pro", input_params
+                )
+                return output
+
+            elif input_data.model == ImageGenModel.FLUX_ULTRA:
+                width, height = SIZE_TO_FLUX_DIMENSIONS[input_data.size]
+                input_params = {
+                    "prompt": modified_prompt,
+                    "width": width,
+                    "height": height,
+                    "aspect_ratio": SIZE_TO_FLUX_RATIO[input_data.size],
+                    "output_format": "jpg",
+                    "output_quality": 90,
+                }
+                output = self._run_client(
+                    credentials, "black-forest-labs/flux-1.1-pro-ultra", input_params
+                )
+                return output
+
+            elif input_data.model == ImageGenModel.RECRAFT:
+                input_params = {
+                    "prompt": input_data.prompt,
+                    "size": SIZE_TO_RECRAFT_DIMENSIONS[input_data.size],
+                    "style": input_data.style.value,
+                }
+                output = self._run_client(
+                    credentials, "recraft-ai/recraft-v3", input_params
+                )
+                return output
+
+        except Exception as e:
+            raise RuntimeError(f"Failed to generate image: {str(e)}")
+
+    def _style_to_prompt_prefix(self, style: ImageStyle) -> str:
+        """
+        Convert a style enum to a prompt prefix for models without native style support.
+        """
+        if style == ImageStyle.ANY:
+            return ""
+
+        style_map = {
+            ImageStyle.REALISTIC: "photorealistic",
+            ImageStyle.REALISTIC_BW: "black and white photograph",
+            ImageStyle.REALISTIC_HDR: "HDR photograph",
+            ImageStyle.REALISTIC_NATURAL: "natural light photograph",
+            ImageStyle.REALISTIC_STUDIO: "studio portrait photograph",
+            ImageStyle.REALISTIC_ENTERPRISE: "enterprise photograph",
+            ImageStyle.REALISTIC_HARD_FLASH: "hard flash photograph",
+            ImageStyle.REALISTIC_MOTION_BLUR: "motion blur photograph",
+            ImageStyle.DIGITAL_ART: "digital art",
+            ImageStyle.PIXEL_ART: "pixel art",
+            ImageStyle.HAND_DRAWN: "hand drawn illustration",
+            ImageStyle.GRAIN: "grainy digital illustration",
+            ImageStyle.SKETCH: "sketchy illustration",
+            ImageStyle.POSTER: "2D art poster",
+            ImageStyle.POSTER_2: "alternate 2D art poster",
+            ImageStyle.HANDMADE_3D: "handmade 3D illustration",
+            ImageStyle.HAND_DRAWN_OUTLINE: "hand drawn outline illustration",
+            ImageStyle.ENGRAVING_COLOR: "color engraving illustration",
+        }
+
+        style_text = style_map.get(style, "")
+        return f"{style_text} of" if style_text else ""
+
+    def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
+        try:
+            url = self.generate_image(input_data, credentials)
+            if url:
+                yield "image_url", url
+            else:
+                yield "error", "Image generation returned an empty result."
+        except Exception as e:
+            # Capture and return only the message of the exception, avoiding serialization of non-serializable objects
+            yield "error", str(e)
+
+
+# Test credentials stay the same
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="replicate",
+    api_key=SecretStr("mock-replicate-api-key"),
+    title="Mock Replicate API key",
+    expires_at=None,
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}

autogpt_platform/backend/backend/blocks/ai_music_generator.py

@@ -0,0 +1,227 @@
+import logging
+import time
+from enum import Enum
+from typing import Literal
+
+import replicate
+from pydantic import SecretStr
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+
+logger = logging.getLogger(__name__)
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="replicate",
+    api_key=SecretStr("mock-replicate-api-key"),
+    title="Mock Replicate API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.type,
+}
+
+
+# Model version enum
+class MusicGenModelVersion(str, Enum):
+    STEREO_LARGE = "stereo-large"
+    MELODY_LARGE = "melody-large"
+    LARGE = "large"
+
+
+# Audio format enum
+class AudioFormat(str, Enum):
+    WAV = "wav"
+    MP3 = "mp3"
+
+
+# Normalization strategy enum
+class NormalizationStrategy(str, Enum):
+    LOUDNESS = "loudness"
+    CLIP = "clip"
+    PEAK = "peak"
+    RMS = "rms"
+
+
+class AIMusicGeneratorBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REPLICATE], Literal["api_key"]
+        ] = CredentialsField(
+            description="The Replicate integration can be used with "
+            "any API key with sufficient permissions for the blocks it is used on.",
+        )
+        prompt: str = SchemaField(
+            description="A description of the music you want to generate",
+            placeholder="e.g., 'An upbeat electronic dance track with heavy bass'",
+            title="Prompt",
+        )
+        music_gen_model_version: MusicGenModelVersion = SchemaField(
+            description="Model to use for generation",
+            default=MusicGenModelVersion.STEREO_LARGE,
+            title="Model Version",
+        )
+        duration: int = SchemaField(
+            description="Duration of the generated audio in seconds",
+            default=8,
+            title="Duration",
+        )
+        temperature: float = SchemaField(
+            description="Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity",
+            default=1.0,
+            title="Temperature",
+        )
+        top_k: int = SchemaField(
+            description="Reduces sampling to the k most likely tokens",
+            default=250,
+            title="Top K",
+        )
+        top_p: float = SchemaField(
+            description="Reduces sampling to tokens with cumulative probability of p. When set to 0 (default), top_k sampling is used",
+            default=0.0,
+            title="Top P",
+        )
+        classifier_free_guidance: int = SchemaField(
+            description="Increases the influence of inputs on the output. Higher values produce lower-variance outputs that adhere more closely to inputs",
+            default=3,
+            title="Classifier Free Guidance",
+        )
+        output_format: AudioFormat = SchemaField(
+            description="Output format for generated audio",
+            default=AudioFormat.WAV,
+            title="Output Format",
+        )
+        normalization_strategy: NormalizationStrategy = SchemaField(
+            description="Strategy for normalizing audio",
+            default=NormalizationStrategy.LOUDNESS,
+            title="Normalization Strategy",
+        )
+
+    class Output(BlockSchema):
+        result: str = SchemaField(description="URL of the generated audio file")
+        error: str = SchemaField(description="Error message if the model run failed")
+
+    def __init__(self):
+        super().__init__(
+            id="44f6c8ad-d75c-4ae1-8209-aad1c0326928",
+            description="This block generates music using Meta's MusicGen model on Replicate.",
+            categories={BlockCategory.AI},
+            input_schema=AIMusicGeneratorBlock.Input,
+            output_schema=AIMusicGeneratorBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "prompt": "An upbeat electronic dance track with heavy bass",
+                "music_gen_model_version": MusicGenModelVersion.STEREO_LARGE,
+                "duration": 8,
+                "temperature": 1.0,
+                "top_k": 250,
+                "top_p": 0.0,
+                "classifier_free_guidance": 3,
+                "output_format": AudioFormat.WAV,
+                "normalization_strategy": NormalizationStrategy.LOUDNESS,
+            },
+            test_output=[
+                (
+                    "result",
+                    "https://replicate.com/output/generated-audio-url.wav",
+                ),
+            ],
+            test_mock={
+                "run_model": lambda api_key, music_gen_model_version, prompt, duration, temperature, top_k, top_p, classifier_free_guidance, output_format, normalization_strategy: "https://replicate.com/output/generated-audio-url.wav",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        max_retries = 3
+        retry_delay = 5  # seconds
+        last_error = None
+
+        for attempt in range(max_retries):
+            try:
+                logger.debug(
+                    f"[AIMusicGeneratorBlock] - Running model (attempt {attempt + 1})"
+                )
+                result = self.run_model(
+                    api_key=credentials.api_key,
+                    music_gen_model_version=input_data.music_gen_model_version,
+                    prompt=input_data.prompt,
+                    duration=input_data.duration,
+                    temperature=input_data.temperature,
+                    top_k=input_data.top_k,
+                    top_p=input_data.top_p,
+                    classifier_free_guidance=input_data.classifier_free_guidance,
+                    output_format=input_data.output_format,
+                    normalization_strategy=input_data.normalization_strategy,
+                )
+                if result and result != "No output received":
+                    yield "result", result
+                    return
+                else:
+                    last_error = "Model returned empty or invalid response"
+                    raise ValueError(last_error)
+            except Exception as e:
+                last_error = f"Unexpected error: {str(e)}"
+                logger.error(f"[AIMusicGeneratorBlock] - Error: {last_error}")
+                if attempt < max_retries - 1:
+                    time.sleep(retry_delay)
+                    continue
+
+        # If we've exhausted all retries, yield the error
+        yield "error", f"Failed after {max_retries} attempts. Last error: {last_error}"
+
+    def run_model(
+        self,
+        api_key: SecretStr,
+        music_gen_model_version: MusicGenModelVersion,
+        prompt: str,
+        duration: int,
+        temperature: float,
+        top_k: int,
+        top_p: float,
+        classifier_free_guidance: int,
+        output_format: AudioFormat,
+        normalization_strategy: NormalizationStrategy,
+    ):
+        # Initialize Replicate client with the API key
+        client = replicate.Client(api_token=api_key.get_secret_value())
+
+        # Run the model with parameters
+        output = client.run(
+            "meta/musicgen:671ac645ce5e552cc63a54a2bbff63fcf798043055d2dac5fc9e36a837eedcfb",
+            input={
+                "prompt": prompt,
+                "music_gen_model_version": music_gen_model_version,
+                "duration": duration,
+                "temperature": temperature,
+                "top_k": top_k,
+                "top_p": top_p,
+                "classifier_free_guidance": classifier_free_guidance,
+                "output_format": output_format,
+                "normalization_strategy": normalization_strategy,
+            },
+        )
+
+        # Handle the output
+        if isinstance(output, list) and len(output) > 0:
+            result_url = output[0]  # If output is a list, get the first element
+        elif isinstance(output, str):
+            result_url = output  # If output is a string, use it directly
+        else:
+            result_url = (
+                "No output received"  # Fallback message if output is not as expected
+            )
+
+        return result_url

autogpt_platform/backend/backend/blocks/ai_shortform_video_block.py

@@ -0,0 +1,323 @@
+import logging
+import time
+from enum import Enum
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+from backend.util.request import requests
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="revid",
+    api_key=SecretStr("mock-revid-api-key"),
+    title="Mock Revid API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.type,
+}
+
+
+class AudioTrack(str, Enum):
+    OBSERVER = ("Observer",)
+    FUTURISTIC_BEAT = ("Futuristic Beat",)
+    SCIENCE_DOCUMENTARY = ("Science Documentary",)
+    HOTLINE = ("Hotline",)
+    BLADERUNNER_2049 = ("Bladerunner 2049",)
+    A_FUTURE = ("A Future",)
+    ELYSIAN_EMBERS = ("Elysian Embers",)
+    INSPIRING_CINEMATIC = ("Inspiring Cinematic",)
+    BLADERUNNER_REMIX = ("Bladerunner Remix",)
+    IZZAMUZZIC = ("Izzamuzzic",)
+    NAS = ("Nas",)
+    PARIS_ELSE = ("Paris - Else",)
+    SNOWFALL = ("Snowfall",)
+    BURLESQUE = ("Burlesque",)
+    CORNY_CANDY = ("Corny Candy",)
+    HIGHWAY_NOCTURNE = ("Highway Nocturne",)
+    I_DONT_THINK_SO = ("I Don't Think So",)
+    LOSING_YOUR_MARBLES = ("Losing Your Marbles",)
+    REFRESHER = ("Refresher",)
+    TOURIST = ("Tourist",)
+    TWIN_TYCHES = ("Twin Tyches",)
+
+    @property
+    def audio_url(self):
+        audio_urls = {
+            AudioTrack.OBSERVER: "https://cdn.tfrv.xyz/audio/observer.mp3",
+            AudioTrack.FUTURISTIC_BEAT: "https://cdn.tfrv.xyz/audio/_futuristic-beat.mp3",
+            AudioTrack.SCIENCE_DOCUMENTARY: "https://cdn.tfrv.xyz/audio/_science-documentary.mp3",
+            AudioTrack.HOTLINE: "https://cdn.tfrv.xyz/audio/_hotline.mp3",
+            AudioTrack.BLADERUNNER_2049: "https://cdn.tfrv.xyz/audio/_bladerunner-2049.mp3",
+            AudioTrack.A_FUTURE: "https://cdn.tfrv.xyz/audio/a-future.mp3",
+            AudioTrack.ELYSIAN_EMBERS: "https://cdn.tfrv.xyz/audio/elysian-embers.mp3",
+            AudioTrack.INSPIRING_CINEMATIC: "https://cdn.tfrv.xyz/audio/inspiring-cinematic-ambient.mp3",
+            AudioTrack.BLADERUNNER_REMIX: "https://cdn.tfrv.xyz/audio/bladerunner-remix.mp3",
+            AudioTrack.IZZAMUZZIC: "https://cdn.tfrv.xyz/audio/_izzamuzzic.mp3",
+            AudioTrack.NAS: "https://cdn.tfrv.xyz/audio/_nas.mp3",
+            AudioTrack.PARIS_ELSE: "https://cdn.tfrv.xyz/audio/_paris-else.mp3",
+            AudioTrack.SNOWFALL: "https://cdn.tfrv.xyz/audio/_snowfall.mp3",
+            AudioTrack.BURLESQUE: "https://cdn.tfrv.xyz/audio/burlesque.mp3",
+            AudioTrack.CORNY_CANDY: "https://cdn.tfrv.xyz/audio/corny-candy.mp3",
+            AudioTrack.HIGHWAY_NOCTURNE: "https://cdn.tfrv.xyz/audio/highway-nocturne.mp3",
+            AudioTrack.I_DONT_THINK_SO: "https://cdn.tfrv.xyz/audio/i-dont-think-so.mp3",
+            AudioTrack.LOSING_YOUR_MARBLES: "https://cdn.tfrv.xyz/audio/losing-your-marbles.mp3",
+            AudioTrack.REFRESHER: "https://cdn.tfrv.xyz/audio/refresher.mp3",
+            AudioTrack.TOURIST: "https://cdn.tfrv.xyz/audio/tourist.mp3",
+            AudioTrack.TWIN_TYCHES: "https://cdn.tfrv.xyz/audio/twin-tynches.mp3",
+        }
+        return audio_urls[self]
+
+
+class GenerationPreset(str, Enum):
+    LEONARDO = ("Default",)
+    ANIME = ("Anime",)
+    REALISM = ("Realist",)
+    ILLUSTRATION = ("Illustration",)
+    SKETCH_COLOR = ("Sketch Color",)
+    SKETCH_BW = ("Sketch B&W",)
+    PIXAR = ("Pixar",)
+    INK = ("Japanese Ink",)
+    RENDER_3D = ("3D Render",)
+    LEGO = ("Lego",)
+    SCIFI = ("Sci-Fi",)
+    RECRO_CARTOON = ("Retro Cartoon",)
+    PIXEL_ART = ("Pixel Art",)
+    CREATIVE = ("Creative",)
+    PHOTOGRAPHY = ("Photography",)
+    RAYTRACED = ("Raytraced",)
+    ENVIRONMENT = ("Environment",)
+    FANTASY = ("Fantasy",)
+    ANIME_SR = ("Anime Realism",)
+    MOVIE = ("Movie",)
+    STYLIZED_ILLUSTRATION = ("Stylized Illustration",)
+    MANGA = ("Manga",)
+
+
+class Voice(str, Enum):
+    LILY = "Lily"
+    DANIEL = "Daniel"
+    BRIAN = "Brian"
+    JESSICA = "Jessica"
+    CHARLOTTE = "Charlotte"
+    CALLUM = "Callum"
+
+    @property
+    def voice_id(self):
+        voice_id_map = {
+            Voice.LILY: "pFZP5JQG7iQjIQuC4Bku",
+            Voice.DANIEL: "onwK4e9ZLuTAKqWW03F9",
+            Voice.BRIAN: "nPczCjzI2devNBz1zQrb",
+            Voice.JESSICA: "cgSgspJ2msm6clMCkdW9",
+            Voice.CHARLOTTE: "XB0fDUnXU5powFXDhCwa",
+            Voice.CALLUM: "N2lVS1w4EtoT3dr4eOWO",
+        }
+        return voice_id_map[self]
+
+    def __str__(self):
+        return self.value
+
+
+class VisualMediaType(str, Enum):
+    STOCK_VIDEOS = ("stockVideo",)
+    MOVING_AI_IMAGES = ("movingImage",)
+    AI_VIDEO = ("aiVideo",)
+
+
+logger = logging.getLogger(__name__)
+
+
+class AIShortformVideoCreatorBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REVID], Literal["api_key"]
+        ] = CredentialsField(
+            description="The revid.ai integration can be used with "
+            "any API key with sufficient permissions for the blocks it is used on.",
+        )
+        script: str = SchemaField(
+            description="""1. Use short and punctuated sentences\n\n2. Use linebreaks to create a new clip\n\n3. Text outside of brackets is spoken by the AI, and [text between brackets] will be used to guide the visual generation. For example, [close-up of a cat] will show a close-up of a cat.""",
+            placeholder="[close-up of a cat] Meow!",
+        )
+        ratio: str = SchemaField(
+            description="Aspect ratio of the video", default="9 / 16"
+        )
+        resolution: str = SchemaField(
+            description="Resolution of the video", default="720p"
+        )
+        frame_rate: int = SchemaField(description="Frame rate of the video", default=60)
+        generation_preset: GenerationPreset = SchemaField(
+            description="Generation preset for visual style - only effects AI generated visuals",
+            default=GenerationPreset.LEONARDO,
+            placeholder=GenerationPreset.LEONARDO,
+        )
+        background_music: AudioTrack = SchemaField(
+            description="Background music track",
+            default=AudioTrack.HIGHWAY_NOCTURNE,
+            placeholder=AudioTrack.HIGHWAY_NOCTURNE,
+        )
+        voice: Voice = SchemaField(
+            description="AI voice to use for narration",
+            default=Voice.LILY,
+            placeholder=Voice.LILY,
+        )
+        video_style: VisualMediaType = SchemaField(
+            description="Type of visual media to use for the video",
+            default=VisualMediaType.STOCK_VIDEOS,
+            placeholder=VisualMediaType.STOCK_VIDEOS,
+        )
+
+    class Output(BlockSchema):
+        video_url: str = SchemaField(description="The URL of the created video")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="361697fb-0c4f-4feb-aed3-8320c88c771b",
+            description="Creates a shortform video using revid.ai",
+            categories={BlockCategory.SOCIAL, BlockCategory.AI},
+            input_schema=AIShortformVideoCreatorBlock.Input,
+            output_schema=AIShortformVideoCreatorBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "script": "[close-up of a cat] Meow!",
+                "ratio": "9 / 16",
+                "resolution": "720p",
+                "frame_rate": 60,
+                "generation_preset": GenerationPreset.LEONARDO,
+                "background_music": AudioTrack.HIGHWAY_NOCTURNE,
+                "voice": Voice.LILY,
+                "video_style": VisualMediaType.STOCK_VIDEOS,
+            },
+            test_output=(
+                "video_url",
+                "https://example.com/video.mp4",
+            ),
+            test_mock={
+                "create_webhook": lambda: (
+                    "test_uuid",
+                    "https://webhook.site/test_uuid",
+                ),
+                "create_video": lambda api_key, payload: {"pid": "test_pid"},
+                "wait_for_video": lambda api_key, pid, webhook_token, max_wait_time=1000: "https://example.com/video.mp4",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    def create_webhook(self):
+        url = "https://webhook.site/token"
+        headers = {"Accept": "application/json", "Content-Type": "application/json"}
+        response = requests.post(url, headers=headers)
+        webhook_data = response.json()
+        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
+
+    def create_video(self, api_key: SecretStr, payload: dict) -> dict:
+        url = "https://www.revid.ai/api/public/v2/render"
+        headers = {"key": api_key.get_secret_value()}
+        response = requests.post(url, json=payload, headers=headers)
+        logger.debug(
+            f"API Response Status Code: {response.status_code}, Content: {response.text}"
+        )
+        return response.json()
+
+    def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
+        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
+        headers = {"key": api_key.get_secret_value()}
+        response = requests.get(url, headers=headers)
+        return response.json()
+
+    def wait_for_video(
+        self,
+        api_key: SecretStr,
+        pid: str,
+        webhook_token: str,
+        max_wait_time: int = 1000,
+    ) -> str:
+        start_time = time.time()
+        while time.time() - start_time < max_wait_time:
+            status = self.check_video_status(api_key, pid)
+            logger.debug(f"Video status: {status}")
+
+            if status.get("status") == "ready" and "videoUrl" in status:
+                return status["videoUrl"]
+            elif status.get("status") == "error":
+                error_message = status.get("error", "Unknown error occurred")
+                logger.error(f"Video creation failed: {error_message}")
+                raise ValueError(f"Video creation failed: {error_message}")
+            elif status.get("status") in ["FAILED", "CANCELED"]:
+                logger.error(f"Video creation failed: {status.get('message')}")
+                raise ValueError(f"Video creation failed: {status.get('message')}")
+
+            time.sleep(10)
+
+        logger.error("Video creation timed out")
+        raise TimeoutError("Video creation timed out")
+
+    def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        # Create a new Webhook.site URL
+        webhook_token, webhook_url = self.create_webhook()
+        logger.debug(f"Webhook URL: {webhook_url}")
+
+        audio_url = input_data.background_music.audio_url
+
+        payload = {
+            "frameRate": input_data.frame_rate,
+            "resolution": input_data.resolution,
+            "frameDurationMultiplier": 18,
+            "webhook": webhook_url,
+            "creationParams": {
+                "mediaType": input_data.video_style,
+                "captionPresetName": "Wrap 1",
+                "selectedVoice": input_data.voice.voice_id,
+                "hasEnhancedGeneration": True,
+                "generationPreset": input_data.generation_preset.name,
+                "selectedAudio": input_data.background_music,
+                "origin": "/create",
+                "inputText": input_data.script,
+                "flowType": "text-to-video",
+                "slug": "create-tiktok-video",
+                "hasToGenerateVoice": True,
+                "hasToTranscript": False,
+                "hasToSearchMedia": True,
+                "hasAvatar": False,
+                "hasWebsiteRecorder": False,
+                "hasTextSmallAtBottom": False,
+                "ratio": input_data.ratio,
+                "sourceType": "contentScraping",
+                "selectedStoryStyle": {"value": "custom", "label": "Custom"},
+                "hasToGenerateVideos": input_data.video_style
+                != VisualMediaType.STOCK_VIDEOS,
+                "audioUrl": audio_url,
+            },
+        }
+
+        logger.debug("Creating video...")
+        response = self.create_video(credentials.api_key, payload)
+        pid = response.get("pid")
+
+        if not pid:
+            logger.error(
+                f"Failed to create video: No project ID returned. API Response: {response}"
+            )
+            raise RuntimeError("Failed to create video: No project ID returned")
+        else:
+            logger.debug(
+                f"Video created with project ID: {pid}. Waiting for completion..."
+            )
+            video_url = self.wait_for_video(credentials.api_key, pid, webhook_token)
+            logger.debug(f"Video ready: {video_url}")
+            yield "video_url", video_url

autogpt_platform/backend/backend/blocks/basic.py

@@ -0,0 +1,719 @@
+import enum
+from typing import Any, List
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
+from backend.data.model import SchemaField
+from backend.util.file import MediaFile, store_media_file
+from backend.util.mock import MockObject
+from backend.util.text import TextFormatter
+from backend.util.type import convert
+
+formatter = TextFormatter()
+
+
+class FileStoreBlock(Block):
+    class Input(BlockSchema):
+        file_in: MediaFile = SchemaField(
+            description="The file to store in the temporary directory, it can be a URL, data URI, or local path."
+        )
+
+    class Output(BlockSchema):
+        file_out: MediaFile = SchemaField(
+            description="The relative path to the stored file in the temporary directory."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="cbb50872-625b-42f0-8203-a2ae78242d8a",
+            description="Stores the input file in the temporary directory.",
+            categories={BlockCategory.BASIC, BlockCategory.MULTIMEDIA},
+            input_schema=FileStoreBlock.Input,
+            output_schema=FileStoreBlock.Output,
+            static_output=True,
+        )
+
+    def run(
+        self,
+        input_data: Input,
+        *,
+        graph_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        file_path = store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.file_in,
+            return_content=False,
+        )
+        yield "file_out", file_path
+
+
+class StoreValueBlock(Block):
+    """
+    This block allows you to provide a constant value as a block, in a stateless manner.
+    The common use-case is simply pass the `input` data, it will `output` the same data.
+    The block output will be static, the output can be consumed multiple times.
+    """
+
+    class Input(BlockSchema):
+        input: Any = SchemaField(
+            description="Trigger the block to produce the output. "
+            "The value is only used when `data` is None."
+        )
+        data: Any = SchemaField(
+            description="The constant data to be retained in the block. "
+            "This value is passed as `output`.",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        output: Any = SchemaField(description="The stored data retained in the block.")
+
+    def __init__(self):
+        super().__init__(
+            id="1ff065e9-88e8-4358-9d82-8dc91f622ba9",
+            description="This block forwards an input value as output, allowing reuse without change.",
+            categories={BlockCategory.BASIC},
+            input_schema=StoreValueBlock.Input,
+            output_schema=StoreValueBlock.Output,
+            test_input=[
+                {"input": "Hello, World!"},
+                {"input": "Hello, World!", "data": "Existing Data"},
+            ],
+            test_output=[
+                ("output", "Hello, World!"),  # No data provided, so trigger is returned
+                ("output", "Existing Data"),  # Data is provided, so data is returned.
+            ],
+            static_output=True,
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "output", input_data.data or input_data.input
+
+
+class PrintToConsoleBlock(Block):
+    class Input(BlockSchema):
+        text: str = SchemaField(description="The text to print to the console.")
+
+    class Output(BlockSchema):
+        status: str = SchemaField(description="The status of the print operation.")
+
+    def __init__(self):
+        super().__init__(
+            id="f3b1c1b2-4c4f-4f0d-8d2f-4c4f0d8d2f4c",
+            description="Print the given text to the console, this is used for a debugging purpose.",
+            categories={BlockCategory.BASIC},
+            input_schema=PrintToConsoleBlock.Input,
+            output_schema=PrintToConsoleBlock.Output,
+            test_input={"text": "Hello, World!"},
+            test_output=("status", "printed"),
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        print(">>>>> Print: ", input_data.text)
+        yield "status", "printed"
+
+
+class FindInDictionaryBlock(Block):
+    class Input(BlockSchema):
+        input: Any = SchemaField(description="Dictionary to lookup from")
+        key: str | int = SchemaField(description="Key to lookup in the dictionary")
+
+    class Output(BlockSchema):
+        output: Any = SchemaField(description="Value found for the given key")
+        missing: Any = SchemaField(
+            description="Value of the input that missing the key"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="0e50422c-6dee-4145-83d6-3a5a392f65de",
+            description="Lookup the given key in the input dictionary/object/list and return the value.",
+            input_schema=FindInDictionaryBlock.Input,
+            output_schema=FindInDictionaryBlock.Output,
+            test_input=[
+                {"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
+                {"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
+                {"input": [1, 2, 3], "key": 1},
+                {"input": [1, 2, 3], "key": 3},
+                {"input": MockObject(value="!!", key="key"), "key": "key"},
+                {"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
+            ],
+            test_output=[
+                ("output", 2),
+                ("missing", {"x": 10, "y": 20, "z": 30}),
+                ("output", 2),
+                ("missing", [1, 2, 3]),
+                ("output", "key"),
+                ("output", ["v1", "v3"]),
+            ],
+            categories={BlockCategory.BASIC},
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        obj = input_data.input
+        key = input_data.key
+
+        if isinstance(obj, dict) and key in obj:
+            yield "output", obj[key]
+        elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
+            yield "output", obj[key]
+        elif isinstance(obj, list) and isinstance(key, str):
+            if len(obj) == 0:
+                yield "output", []
+            elif isinstance(obj[0], dict) and key in obj[0]:
+                yield "output", [item[key] for item in obj if key in item]
+            else:
+                yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
+        elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
+            yield "output", getattr(obj, key)
+        else:
+            yield "missing", input_data.input
+
+
+class AgentInputBlock(Block):
+    """
+    This block is used to provide input to the graph.
+
+    It takes in a value, name, description, default values list and bool to limit selection to default values.
+
+    It Outputs the value passed as input.
+    """
+
+    class Input(BlockSchema):
+        name: str = SchemaField(description="The name of the input.")
+        value: Any = SchemaField(
+            description="The value to be passed as input.",
+            default=None,
+        )
+        title: str | None = SchemaField(
+            description="The title of the input.", default=None, advanced=True
+        )
+        description: str | None = SchemaField(
+            description="The description of the input.",
+            default=None,
+            advanced=True,
+        )
+        placeholder_values: List[Any] = SchemaField(
+            description="The placeholder values to be passed as input.",
+            default=[],
+            advanced=True,
+        )
+        limit_to_placeholder_values: bool = SchemaField(
+            description="Whether to limit the selection to placeholder values.",
+            default=False,
+            advanced=True,
+        )
+        advanced: bool = SchemaField(
+            description="Whether to show the input in the advanced section, if the field is not required.",
+            default=False,
+            advanced=True,
+        )
+        secret: bool = SchemaField(
+            description="Whether the input should be treated as a secret.",
+            default=False,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        result: Any = SchemaField(description="The value passed as input.")
+
+    def __init__(self):
+        super().__init__(
+            id="c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
+            description="This block is used to provide input to the graph.",
+            input_schema=AgentInputBlock.Input,
+            output_schema=AgentInputBlock.Output,
+            test_input=[
+                {
+                    "value": "Hello, World!",
+                    "name": "input_1",
+                    "description": "This is a test input.",
+                    "placeholder_values": [],
+                    "limit_to_placeholder_values": False,
+                },
+                {
+                    "value": "Hello, World!",
+                    "name": "input_2",
+                    "description": "This is a test input.",
+                    "placeholder_values": ["Hello, World!"],
+                    "limit_to_placeholder_values": True,
+                },
+            ],
+            test_output=[
+                ("result", "Hello, World!"),
+                ("result", "Hello, World!"),
+            ],
+            categories={BlockCategory.INPUT, BlockCategory.BASIC},
+            block_type=BlockType.INPUT,
+            static_output=True,
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "result", input_data.value
+
+
+class AgentOutputBlock(Block):
+    """
+    Records the output of the graph for users to see.
+
+    Behavior:
+        If `format` is provided and the `value` is of a type that can be formatted,
+        the block attempts to format the recorded_value using the `format`.
+        If formatting fails or no `format` is provided, the raw `value` is output.
+    """
+
+    class Input(BlockSchema):
+        value: Any = SchemaField(
+            description="The value to be recorded as output.",
+            default=None,
+            advanced=False,
+        )
+        name: str = SchemaField(description="The name of the output.")
+        title: str | None = SchemaField(
+            description="The title of the output.",
+            default=None,
+            advanced=True,
+        )
+        description: str | None = SchemaField(
+            description="The description of the output.",
+            default=None,
+            advanced=True,
+        )
+        format: str = SchemaField(
+            description="The format string to be used to format the recorded_value. Use Jinja2 syntax.",
+            default="",
+            advanced=True,
+        )
+        advanced: bool = SchemaField(
+            description="Whether to treat the output as advanced.",
+            default=False,
+            advanced=True,
+        )
+        secret: bool = SchemaField(
+            description="Whether the output should be treated as a secret.",
+            default=False,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        output: Any = SchemaField(description="The value recorded as output.")
+        name: Any = SchemaField(description="The name of the value recorded as output.")
+
+    def __init__(self):
+        super().__init__(
+            id="363ae599-353e-4804-937e-b2ee3cef3da4",
+            description="Stores the output of the graph for users to see.",
+            input_schema=AgentOutputBlock.Input,
+            output_schema=AgentOutputBlock.Output,
+            test_input=[
+                {
+                    "value": "Hello, World!",
+                    "name": "output_1",
+                    "description": "This is a test output.",
+                    "format": "{{ output_1 }}!!",
+                },
+                {
+                    "value": "42",
+                    "name": "output_2",
+                    "description": "This is another test output.",
+                    "format": "{{ output_2 }}",
+                },
+                {
+                    "value": MockObject(value="!!", key="key"),
+                    "name": "output_3",
+                    "description": "This is a test output with a mock object.",
+                    "format": "{{ output_3 }}",
+                },
+            ],
+            test_output=[
+                ("output", "Hello, World!!!"),
+                ("output", "42"),
+                ("output", MockObject(value="!!", key="key")),
+            ],
+            categories={BlockCategory.OUTPUT, BlockCategory.BASIC},
+            block_type=BlockType.OUTPUT,
+            static_output=True,
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        """
+        Attempts to format the recorded_value using the fmt_string if provided.
+        If formatting fails or no fmt_string is given, returns the original recorded_value.
+        """
+        if input_data.format:
+            try:
+                yield "output", formatter.format_string(
+                    input_data.format, {input_data.name: input_data.value}
+                )
+            except Exception as e:
+                yield "output", f"Error: {e}, {input_data.value}"
+        else:
+            yield "output", input_data.value
+            yield "name", input_data.name
+
+
+class AddToDictionaryBlock(Block):
+    class Input(BlockSchema):
+        dictionary: dict[Any, Any] = SchemaField(
+            default={},
+            description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
+        )
+        key: str = SchemaField(
+            default="",
+            description="The key for the new entry.",
+            placeholder="new_key",
+            advanced=False,
+        )
+        value: Any = SchemaField(
+            default=None,
+            description="The value for the new entry.",
+            placeholder="new_value",
+            advanced=False,
+        )
+        entries: dict[Any, Any] = SchemaField(
+            default={},
+            description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        updated_dictionary: dict = SchemaField(
+            description="The dictionary with the new entry added."
+        )
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
+            description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
+            categories={BlockCategory.BASIC},
+            input_schema=AddToDictionaryBlock.Input,
+            output_schema=AddToDictionaryBlock.Output,
+            test_input=[
+                {
+                    "dictionary": {"existing_key": "existing_value"},
+                    "key": "new_key",
+                    "value": "new_value",
+                },
+                {"key": "first_key", "value": "first_value"},
+                {
+                    "dictionary": {"existing_key": "existing_value"},
+                    "entries": {"new_key": "new_value", "first_key": "first_value"},
+                },
+            ],
+            test_output=[
+                (
+                    "updated_dictionary",
+                    {"existing_key": "existing_value", "new_key": "new_value"},
+                ),
+                ("updated_dictionary", {"first_key": "first_value"}),
+                (
+                    "updated_dictionary",
+                    {
+                        "existing_key": "existing_value",
+                        "new_key": "new_value",
+                        "first_key": "first_value",
+                    },
+                ),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        updated_dict = input_data.dictionary.copy()
+
+        if input_data.value is not None and input_data.key:
+            updated_dict[input_data.key] = input_data.value
+
+        for key, value in input_data.entries.items():
+            updated_dict[key] = value
+
+        yield "updated_dictionary", updated_dict
+
+
+class AddToListBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(
+            default=[],
+            advanced=False,
+            description="The list to add the entry to. If not provided, a new list will be created.",
+        )
+        entry: Any = SchemaField(
+            description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
+            advanced=False,
+            default=None,
+        )
+        entries: List[Any] = SchemaField(
+            default=[],
+            description="The entries to add to the list. This is the batch version of the `entry` field.",
+            advanced=True,
+        )
+        position: int | None = SchemaField(
+            default=None,
+            description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
+        )
+
+    class Output(BlockSchema):
+        updated_list: List[Any] = SchemaField(
+            description="The list with the new entry added."
+        )
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
+            description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
+            categories={BlockCategory.BASIC},
+            input_schema=AddToListBlock.Input,
+            output_schema=AddToListBlock.Output,
+            test_input=[
+                {
+                    "list": [1, "string", {"existing_key": "existing_value"}],
+                    "entry": {"new_key": "new_value"},
+                    "position": 1,
+                },
+                {"entry": "first_entry"},
+                {"list": ["a", "b", "c"], "entry": "d"},
+                {
+                    "entry": "e",
+                    "entries": ["f", "g"],
+                    "list": ["a", "b"],
+                    "position": 1,
+                },
+            ],
+            test_output=[
+                (
+                    "updated_list",
+                    [
+                        1,
+                        {"new_key": "new_value"},
+                        "string",
+                        {"existing_key": "existing_value"},
+                    ],
+                ),
+                ("updated_list", ["first_entry"]),
+                ("updated_list", ["a", "b", "c", "d"]),
+                ("updated_list", ["a", "f", "g", "e", "b"]),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        entries_added = input_data.entries.copy()
+        if input_data.entry:
+            entries_added.append(input_data.entry)
+
+        updated_list = input_data.list.copy()
+        if (pos := input_data.position) is not None:
+            updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
+        else:
+            updated_list += entries_added
+
+        yield "updated_list", updated_list
+
+
+class FindInListBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to search in.")
+        value: Any = SchemaField(description="The value to search for.")
+
+    class Output(BlockSchema):
+        index: int = SchemaField(description="The index of the value in the list.")
+        found: bool = SchemaField(
+            description="Whether the value was found in the list."
+        )
+        not_found_value: Any = SchemaField(
+            description="The value that was not found in the list."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="5e2c6d0a-1e37-489f-b1d0-8e1812b23333",
+            description="Finds the index of the value in the list.",
+            categories={BlockCategory.BASIC},
+            input_schema=FindInListBlock.Input,
+            output_schema=FindInListBlock.Output,
+            test_input=[
+                {"list": [1, 2, 3, 4, 5], "value": 3},
+                {"list": [1, 2, 3, 4, 5], "value": 6},
+            ],
+            test_output=[
+                ("index", 2),
+                ("found", True),
+                ("found", False),
+                ("not_found_value", 6),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            yield "index", input_data.list.index(input_data.value)
+            yield "found", True
+        except ValueError:
+            yield "found", False
+            yield "not_found_value", input_data.value
+
+
+class NoteBlock(Block):
+    class Input(BlockSchema):
+        text: str = SchemaField(description="The text to display in the sticky note.")
+
+    class Output(BlockSchema):
+        output: str = SchemaField(description="The text to display in the sticky note.")
+
+    def __init__(self):
+        super().__init__(
+            id="cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
+            description="This block is used to display a sticky note with the given text.",
+            categories={BlockCategory.BASIC},
+            input_schema=NoteBlock.Input,
+            output_schema=NoteBlock.Output,
+            test_input={"text": "Hello, World!"},
+            test_output=[
+                ("output", "Hello, World!"),
+            ],
+            block_type=BlockType.NOTE,
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "output", input_data.text
+
+
+class CreateDictionaryBlock(Block):
+    class Input(BlockSchema):
+        values: dict[str, Any] = SchemaField(
+            description="Key-value pairs to create the dictionary with",
+            placeholder="e.g., {'name': 'Alice', 'age': 25}",
+        )
+
+    class Output(BlockSchema):
+        dictionary: dict[str, Any] = SchemaField(
+            description="The created dictionary containing the specified key-value pairs"
+        )
+        error: str = SchemaField(
+            description="Error message if dictionary creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
+            description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
+            categories={BlockCategory.DATA},
+            input_schema=CreateDictionaryBlock.Input,
+            output_schema=CreateDictionaryBlock.Output,
+            test_input=[
+                {
+                    "values": {"name": "Alice", "age": 25, "city": "New York"},
+                },
+                {
+                    "values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
+                },
+            ],
+            test_output=[
+                (
+                    "dictionary",
+                    {"name": "Alice", "age": 25, "city": "New York"},
+                ),
+                (
+                    "dictionary",
+                    {"numbers": [1, 2, 3], "active": True, "score": 95.5},
+                ),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            # The values are already validated by Pydantic schema
+            yield "dictionary", input_data.values
+        except Exception as e:
+            yield "error", f"Failed to create dictionary: {str(e)}"
+
+
+class CreateListBlock(Block):
+    class Input(BlockSchema):
+        values: List[Any] = SchemaField(
+            description="A list of values to be combined into a new list.",
+            placeholder="e.g., ['Alice', 25, True]",
+        )
+
+    class Output(BlockSchema):
+        list: List[Any] = SchemaField(
+            description="The created list containing the specified values."
+        )
+        error: str = SchemaField(description="Error message if list creation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="a912d5c7-6e00-4542-b2a9-8034136930e4",
+            description="Creates a list with the specified values. Use this when you know all the values you want to add upfront.",
+            categories={BlockCategory.DATA},
+            input_schema=CreateListBlock.Input,
+            output_schema=CreateListBlock.Output,
+            test_input=[
+                {
+                    "values": ["Alice", 25, True],
+                },
+                {
+                    "values": [1, 2, 3, "four", {"key": "value"}],
+                },
+            ],
+            test_output=[
+                (
+                    "list",
+                    ["Alice", 25, True],
+                ),
+                (
+                    "list",
+                    [1, 2, 3, "four", {"key": "value"}],
+                ),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            # The values are already validated by Pydantic schema
+            yield "list", input_data.values
+        except Exception as e:
+            yield "error", f"Failed to create list: {str(e)}"
+
+
+class TypeOptions(enum.Enum):
+    STRING = "string"
+    NUMBER = "number"
+    BOOLEAN = "boolean"
+    LIST = "list"
+    DICTIONARY = "dictionary"
+
+
+class UniversalTypeConverterBlock(Block):
+    class Input(BlockSchema):
+        value: Any = SchemaField(
+            description="The value to convert to a universal type."
+        )
+        type: TypeOptions = SchemaField(description="The type to convert the value to.")
+
+    class Output(BlockSchema):
+        value: Any = SchemaField(description="The converted value.")
+
+    def __init__(self):
+        super().__init__(
+            id="95d1b990-ce13-4d88-9737-ba5c2070c97b",
+            description="This block is used to convert a value to a universal type.",
+            categories={BlockCategory.BASIC},
+            input_schema=UniversalTypeConverterBlock.Input,
+            output_schema=UniversalTypeConverterBlock.Output,
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            converted_value = convert(
+                input_data.value,
+                {
+                    TypeOptions.STRING: str,
+                    TypeOptions.NUMBER: float,
+                    TypeOptions.BOOLEAN: bool,
+                    TypeOptions.LIST: list,
+                    TypeOptions.DICTIONARY: dict,
+                }[input_data.type],
+            )
+            yield "value", converted_value
+        except Exception as e:
+            yield "error", f"Failed to convert value: {str(e)}"

autogpt_platform/backend/backend/blocks/block.py

@@ -2,7 +2,8 @@ import os
 import re
 from typing import Type
 
-from autogpt_server.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
 
 
 class BlockInstallationBlock(Block):
@@ -15,11 +16,17 @@ class BlockInstallationBlock(Block):
     """
 
     class Input(BlockSchema):
-        code: str
+        code: str = SchemaField(
+            description="Python code of the block to be installed",
+        )
 
     class Output(BlockSchema):
-        success: str
-        error: str
+        success: str = SchemaField(
+            description="Success message if the block is installed successfully",
+        )
+        error: str = SchemaField(
+            description="Error message if the block installation fails",
+        )
 
     def __init__(self):
         super().__init__(
@@ -31,24 +38,22 @@ class BlockInstallationBlock(Block):
             disabled=True,
         )
 
-    def run(self, input_data: Input) -> BlockOutput:
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
         code = input_data.code
 
         if search := re.search(r"class (\w+)\(Block\):", code):
             class_name = search.group(1)
         else:
-            yield "error", "No class found in the code."
-            return
+            raise RuntimeError("No class found in the code.")
 
         if search := re.search(r"id=\"(\w+-\w+-\w+-\w+-\w+)\"", code):
             file_name = search.group(1)
         else:
-            yield "error", "No UUID found in the code."
-            return
+            raise RuntimeError("No UUID found in the code.")
 
         block_dir = os.path.dirname(__file__)
         file_path = f"{block_dir}/{file_name}.py"
-        module_name = f"autogpt_server.blocks.{file_name}"
+        module_name = f"backend.blocks.{file_name}"
         with open(file_path, "w") as f:
             f.write(code)
 
@@ -57,10 +62,10 @@ class BlockInstallationBlock(Block):
             block_class: Type[Block] = getattr(module, class_name)
             block = block_class()
 
-            from autogpt_server.util.test import execute_block_test
+            from backend.util.test import execute_block_test
 
             execute_block_test(block)
             yield "success", "Block installed successfully."
         except Exception as e:
             os.remove(file_path)
-            yield "error", f"[Code]\n{code}\n\n[Error]\n{str(e)}"
+            raise RuntimeError(f"[Code]\n{code}\n\n[Error]\n{str(e)}")

autogpt_platform/backend/backend/blocks/branching.py

@@ -0,0 +1,189 @@
+from enum import Enum
+from typing import Any
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class ComparisonOperator(Enum):
+    EQUAL = "=="
+    NOT_EQUAL = "!="
+    GREATER_THAN = ">"
+    LESS_THAN = "<"
+    GREATER_THAN_OR_EQUAL = ">="
+    LESS_THAN_OR_EQUAL = "<="
+
+
+class ConditionBlock(Block):
+    class Input(BlockSchema):
+        value1: Any = SchemaField(
+            description="Enter the first value for comparison",
+            placeholder="For example: 10 or 'hello' or True",
+        )
+        operator: ComparisonOperator = SchemaField(
+            description="Choose the comparison operator",
+            placeholder="Select an operator",
+        )
+        value2: Any = SchemaField(
+            description="Enter the second value for comparison",
+            placeholder="For example: 20 or 'world' or False",
+        )
+        yes_value: Any = SchemaField(
+            description="(Optional) Value to output if the condition is true. If not provided, value1 will be used.",
+            placeholder="Leave empty to use value1, or enter a specific value",
+            default=None,
+        )
+        no_value: Any = SchemaField(
+            description="(Optional) Value to output if the condition is false. If not provided, value1 will be used.",
+            placeholder="Leave empty to use value1, or enter a specific value",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        result: bool = SchemaField(
+            description="The result of the condition evaluation (True or False)"
+        )
+        yes_output: Any = SchemaField(
+            description="The output value if the condition is true"
+        )
+        no_output: Any = SchemaField(
+            description="The output value if the condition is false"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="715696a0-e1da-45c8-b209-c2fa9c3b0be6",
+            input_schema=ConditionBlock.Input,
+            output_schema=ConditionBlock.Output,
+            description="Handles conditional logic based on comparison operators",
+            categories={BlockCategory.LOGIC},
+            test_input={
+                "value1": 10,
+                "operator": ComparisonOperator.GREATER_THAN.value,
+                "value2": 5,
+                "yes_value": "Greater",
+                "no_value": "Not greater",
+            },
+            test_output=[
+                ("result", True),
+                ("yes_output", "Greater"),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        operator = input_data.operator
+
+        value1 = input_data.value1
+        if isinstance(value1, str):
+            try:
+                value1 = float(value1.strip())
+            except ValueError:
+                value1 = value1.strip()
+
+        value2 = input_data.value2
+        if isinstance(value2, str):
+            try:
+                value2 = float(value2.strip())
+            except ValueError:
+                value2 = value2.strip()
+
+        yes_value = input_data.yes_value if input_data.yes_value is not None else value1
+        no_value = input_data.no_value if input_data.no_value is not None else value2
+
+        comparison_funcs = {
+            ComparisonOperator.EQUAL: lambda a, b: a == b,
+            ComparisonOperator.NOT_EQUAL: lambda a, b: a != b,
+            ComparisonOperator.GREATER_THAN: lambda a, b: a > b,
+            ComparisonOperator.LESS_THAN: lambda a, b: a < b,
+            ComparisonOperator.GREATER_THAN_OR_EQUAL: lambda a, b: a >= b,
+            ComparisonOperator.LESS_THAN_OR_EQUAL: lambda a, b: a <= b,
+        }
+
+        result = comparison_funcs[operator](value1, value2)
+
+        yield "result", result
+
+        if result:
+            yield "yes_output", yes_value
+        else:
+            yield "no_output", no_value
+
+
+class IfInputMatchesBlock(Block):
+    class Input(BlockSchema):
+        input: Any = SchemaField(
+            description="The input to match against",
+            placeholder="For example: 10 or 'hello' or True",
+        )
+        value: Any = SchemaField(
+            description="The value to output if the input matches",
+            placeholder="For example: 'Greater' or 20 or False",
+        )
+        yes_value: Any = SchemaField(
+            description="The value to output if the input matches",
+            placeholder="For example: 'Greater' or 20 or False",
+            default=None,
+        )
+        no_value: Any = SchemaField(
+            description="The value to output if the input does not match",
+            placeholder="For example: 'Greater' or 20 or False",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        result: bool = SchemaField(
+            description="The result of the condition evaluation (True or False)"
+        )
+        yes_output: Any = SchemaField(
+            description="The output value if the condition is true"
+        )
+        no_output: Any = SchemaField(
+            description="The output value if the condition is false"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="6dbbc4b3-ca6c-42b6-b508-da52d23e13f2",
+            input_schema=IfInputMatchesBlock.Input,
+            output_schema=IfInputMatchesBlock.Output,
+            description="Handles conditional logic based on comparison operators",
+            categories={BlockCategory.LOGIC},
+            test_input=[
+                {
+                    "input": 10,
+                    "value": 10,
+                    "yes_value": "Greater",
+                    "no_value": "Not greater",
+                },
+                {
+                    "input": 10,
+                    "value": 20,
+                    "yes_value": "Greater",
+                    "no_value": "Not greater",
+                },
+                {
+                    "input": 10,
+                    "value": None,
+                    "yes_value": "Yes",
+                    "no_value": "No",
+                },
+            ],
+            test_output=[
+                ("result", True),
+                ("yes_output", "Greater"),
+                ("result", False),
+                ("no_output", "Not greater"),
+                ("result", False),
+                ("no_output", "No"),
+                # ("result", True),
+                # ("yes_output", "Yes"),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        if input_data.input == input_data.value or input_data.input is input_data.value:
+            yield "result", True
+            yield "yes_output", input_data.yes_value
+        else:
+            yield "result", False
+            yield "no_output", input_data.no_value

autogpt_platform/backend/backend/blocks/code_executor.py

@@ -0,0 +1,457 @@
+from enum import Enum
+from typing import Literal
+
+from e2b_code_interpreter import Sandbox
+from pydantic import SecretStr
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="e2b",
+    api_key=SecretStr("mock-e2b-api-key"),
+    title="Mock E2B API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.type,
+}
+
+
+class ProgrammingLanguage(Enum):
+    PYTHON = "python"
+    JAVASCRIPT = "js"
+    BASH = "bash"
+    R = "r"
+    JAVA = "java"
+
+
+class CodeExecutionBlock(Block):
+    # TODO : Add support to upload and download files
+    # Currently, You can customized the CPU and Memory, only by creating a pre customized sandbox template
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.E2B], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
+        )
+
+        # Todo : Option to run commond in background
+        setup_commands: list[str] = SchemaField(
+            description=(
+                "Shell commands to set up the sandbox before running the code. "
+                "You can use `curl` or `git` to install your desired Debian based "
+                "package manager. `pip` and `npm` are pre-installed.\n\n"
+                "These commands are executed with `sh`, in the foreground."
+            ),
+            placeholder="pip install cowsay",
+            default=[],
+            advanced=False,
+        )
+
+        code: str = SchemaField(
+            description="Code to execute in the sandbox",
+            placeholder="print('Hello, World!')",
+            default="",
+            advanced=False,
+        )
+
+        language: ProgrammingLanguage = SchemaField(
+            description="Programming language to execute",
+            default=ProgrammingLanguage.PYTHON,
+            advanced=False,
+        )
+
+        timeout: int = SchemaField(
+            description="Execution timeout in seconds", default=300
+        )
+
+        template_id: str = SchemaField(
+            description=(
+                "You can use an E2B sandbox template by entering its ID here. "
+                "Check out the E2B docs for more details: "
+                "[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
+            ),
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        response: str = SchemaField(description="Response from code execution")
+        stdout_logs: str = SchemaField(
+            description="Standard output logs from execution"
+        )
+        stderr_logs: str = SchemaField(description="Standard error logs from execution")
+        error: str = SchemaField(description="Error message if execution failed")
+
+    def __init__(self):
+        super().__init__(
+            id="0b02b072-abe7-11ef-8372-fb5d162dd712",
+            description="Executes code in an isolated sandbox environment with internet access.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=CodeExecutionBlock.Input,
+            output_schema=CodeExecutionBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "code": "print('Hello World')",
+                "language": ProgrammingLanguage.PYTHON.value,
+                "setup_commands": [],
+                "timeout": 300,
+                "template_id": "",
+            },
+            test_output=[
+                ("response", "Hello World"),
+                ("stdout_logs", "Hello World\n"),
+            ],
+            test_mock={
+                "execute_code": lambda code, language, setup_commands, timeout, api_key, template_id: (
+                    "Hello World",
+                    "Hello World\n",
+                    "",
+                ),
+            },
+        )
+
+    def execute_code(
+        self,
+        code: str,
+        language: ProgrammingLanguage,
+        setup_commands: list[str],
+        timeout: int,
+        api_key: str,
+        template_id: str,
+    ):
+        try:
+            sandbox = None
+            if template_id:
+                sandbox = Sandbox(
+                    template=template_id, api_key=api_key, timeout=timeout
+                )
+            else:
+                sandbox = Sandbox(api_key=api_key, timeout=timeout)
+
+            if not sandbox:
+                raise Exception("Sandbox not created")
+
+            # Running setup commands
+            for cmd in setup_commands:
+                sandbox.commands.run(cmd)
+
+            # Executing the code
+            execution = sandbox.run_code(
+                code,
+                language=language.value,
+                on_error=lambda e: sandbox.kill(),  # Kill the sandbox if there is an error
+            )
+
+            if execution.error:
+                raise Exception(execution.error)
+
+            response = execution.text
+            stdout_logs = "".join(execution.logs.stdout)
+            stderr_logs = "".join(execution.logs.stderr)
+
+            return response, stdout_logs, stderr_logs
+
+        except Exception as e:
+            raise e
+
+    def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            response, stdout_logs, stderr_logs = self.execute_code(
+                input_data.code,
+                input_data.language,
+                input_data.setup_commands,
+                input_data.timeout,
+                credentials.api_key.get_secret_value(),
+                input_data.template_id,
+            )
+
+            if response:
+                yield "response", response
+            if stdout_logs:
+                yield "stdout_logs", stdout_logs
+            if stderr_logs:
+                yield "stderr_logs", stderr_logs
+        except Exception as e:
+            yield "error", str(e)
+
+
+class InstantiationBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.E2B], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
+        )
+
+        # Todo : Option to run commond in background
+        setup_commands: list[str] = SchemaField(
+            description=(
+                "Shell commands to set up the sandbox before running the code. "
+                "You can use `curl` or `git` to install your desired Debian based "
+                "package manager. `pip` and `npm` are pre-installed.\n\n"
+                "These commands are executed with `sh`, in the foreground."
+            ),
+            placeholder="pip install cowsay",
+            default=[],
+            advanced=False,
+        )
+
+        setup_code: str = SchemaField(
+            description="Code to execute in the sandbox",
+            placeholder="print('Hello, World!')",
+            default="",
+            advanced=False,
+        )
+
+        language: ProgrammingLanguage = SchemaField(
+            description="Programming language to execute",
+            default=ProgrammingLanguage.PYTHON,
+            advanced=False,
+        )
+
+        timeout: int = SchemaField(
+            description="Execution timeout in seconds", default=300
+        )
+
+        template_id: str = SchemaField(
+            description=(
+                "You can use an E2B sandbox template by entering its ID here. "
+                "Check out the E2B docs for more details: "
+                "[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
+            ),
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        sandbox_id: str = SchemaField(description="ID of the sandbox instance")
+        response: str = SchemaField(description="Response from code execution")
+        stdout_logs: str = SchemaField(
+            description="Standard output logs from execution"
+        )
+        stderr_logs: str = SchemaField(description="Standard error logs from execution")
+        error: str = SchemaField(description="Error message if execution failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ff0861c9-1726-4aec-9e5b-bf53f3622112",
+            description="Instantiate an isolated sandbox environment with internet access where to execute code in.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=InstantiationBlock.Input,
+            output_schema=InstantiationBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "setup_code": "print('Hello World')",
+                "language": ProgrammingLanguage.PYTHON.value,
+                "setup_commands": [],
+                "timeout": 300,
+                "template_id": "",
+            },
+            test_output=[
+                ("sandbox_id", str),
+                ("response", "Hello World"),
+                ("stdout_logs", "Hello World\n"),
+            ],
+            test_mock={
+                "execute_code": lambda setup_code, language, setup_commands, timeout, api_key, template_id: (
+                    "sandbox_id",
+                    "Hello World",
+                    "Hello World\n",
+                    "",
+                ),
+            },
+        )
+
+    def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            sandbox_id, response, stdout_logs, stderr_logs = self.execute_code(
+                input_data.setup_code,
+                input_data.language,
+                input_data.setup_commands,
+                input_data.timeout,
+                credentials.api_key.get_secret_value(),
+                input_data.template_id,
+            )
+            if sandbox_id:
+                yield "sandbox_id", sandbox_id
+            else:
+                yield "error", "Sandbox ID not found"
+            if response:
+                yield "response", response
+            if stdout_logs:
+                yield "stdout_logs", stdout_logs
+            if stderr_logs:
+                yield "stderr_logs", stderr_logs
+        except Exception as e:
+            yield "error", str(e)
+
+    def execute_code(
+        self,
+        code: str,
+        language: ProgrammingLanguage,
+        setup_commands: list[str],
+        timeout: int,
+        api_key: str,
+        template_id: str,
+    ):
+        try:
+            sandbox = None
+            if template_id:
+                sandbox = Sandbox(
+                    template=template_id, api_key=api_key, timeout=timeout
+                )
+            else:
+                sandbox = Sandbox(api_key=api_key, timeout=timeout)
+
+            if not sandbox:
+                raise Exception("Sandbox not created")
+
+            # Running setup commands
+            for cmd in setup_commands:
+                sandbox.commands.run(cmd)
+
+            # Executing the code
+            execution = sandbox.run_code(
+                code,
+                language=language.value,
+                on_error=lambda e: sandbox.kill(),  # Kill the sandbox if there is an error
+            )
+
+            if execution.error:
+                raise Exception(execution.error)
+
+            response = execution.text
+            stdout_logs = "".join(execution.logs.stdout)
+            stderr_logs = "".join(execution.logs.stderr)
+
+            return sandbox.sandbox_id, response, stdout_logs, stderr_logs
+
+        except Exception as e:
+            raise e
+
+
+class StepExecutionBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.E2B], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
+        )
+
+        sandbox_id: str = SchemaField(
+            description="ID of the sandbox instance to execute the code in",
+            advanced=False,
+        )
+
+        step_code: str = SchemaField(
+            description="Code to execute in the sandbox",
+            placeholder="print('Hello, World!')",
+            default="",
+            advanced=False,
+        )
+
+        language: ProgrammingLanguage = SchemaField(
+            description="Programming language to execute",
+            default=ProgrammingLanguage.PYTHON,
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        response: str = SchemaField(description="Response from code execution")
+        stdout_logs: str = SchemaField(
+            description="Standard output logs from execution"
+        )
+        stderr_logs: str = SchemaField(description="Standard error logs from execution")
+        error: str = SchemaField(description="Error message if execution failed")
+
+    def __init__(self):
+        super().__init__(
+            id="82b59b8e-ea10-4d57-9161-8b169b0adba6",
+            description="Execute code in a previously instantiated sandbox environment.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=StepExecutionBlock.Input,
+            output_schema=StepExecutionBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "sandbox_id": "sandbox_id",
+                "step_code": "print('Hello World')",
+                "language": ProgrammingLanguage.PYTHON.value,
+            },
+            test_output=[
+                ("response", "Hello World"),
+                ("stdout_logs", "Hello World\n"),
+            ],
+            test_mock={
+                "execute_step_code": lambda sandbox_id, step_code, language, api_key: (
+                    "Hello World",
+                    "Hello World\n",
+                    "",
+                ),
+            },
+        )
+
+    def execute_step_code(
+        self,
+        sandbox_id: str,
+        code: str,
+        language: ProgrammingLanguage,
+        api_key: str,
+    ):
+        try:
+            sandbox = Sandbox.connect(sandbox_id=sandbox_id, api_key=api_key)
+            if not sandbox:
+                raise Exception("Sandbox not found")
+
+            # Executing the code
+            execution = sandbox.run_code(code, language=language.value)
+
+            if execution.error:
+                raise Exception(execution.error)
+
+            response = execution.text
+            stdout_logs = "".join(execution.logs.stdout)
+            stderr_logs = "".join(execution.logs.stderr)
+
+            return response, stdout_logs, stderr_logs
+
+        except Exception as e:
+            raise e
+
+    def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            response, stdout_logs, stderr_logs = self.execute_step_code(
+                input_data.sandbox_id,
+                input_data.step_code,
+                input_data.language,
+                credentials.api_key.get_secret_value(),
+            )
+
+            if response:
+                yield "response", response
+            if stdout_logs:
+                yield "stdout_logs", stdout_logs
+            if stderr_logs:
+                yield "stderr_logs", stderr_logs
+        except Exception as e:
+            yield "error", str(e)

autogpt_platform/backend/backend/blocks/code_extraction_block.py

@@ -0,0 +1,110 @@
+import re
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class CodeExtractionBlock(Block):
+    class Input(BlockSchema):
+        text: str = SchemaField(
+            description="Text containing code blocks to extract (e.g., AI response)",
+            placeholder="Enter text containing code blocks",
+        )
+
+    class Output(BlockSchema):
+        html: str = SchemaField(description="Extracted HTML code")
+        css: str = SchemaField(description="Extracted CSS code")
+        javascript: str = SchemaField(description="Extracted JavaScript code")
+        python: str = SchemaField(description="Extracted Python code")
+        sql: str = SchemaField(description="Extracted SQL code")
+        java: str = SchemaField(description="Extracted Java code")
+        cpp: str = SchemaField(description="Extracted C++ code")
+        csharp: str = SchemaField(description="Extracted C# code")
+        json_code: str = SchemaField(description="Extracted JSON code")
+        bash: str = SchemaField(description="Extracted Bash code")
+        php: str = SchemaField(description="Extracted PHP code")
+        ruby: str = SchemaField(description="Extracted Ruby code")
+        yaml: str = SchemaField(description="Extracted YAML code")
+        markdown: str = SchemaField(description="Extracted Markdown code")
+        typescript: str = SchemaField(description="Extracted TypeScript code")
+        xml: str = SchemaField(description="Extracted XML code")
+        remaining_text: str = SchemaField(
+            description="Remaining text after code extraction"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="d3a7d896-3b78-4f44-8b4b-48fbf4f0bcd8",
+            description="Extracts code blocks from text and identifies their programming languages",
+            categories={BlockCategory.TEXT},
+            input_schema=CodeExtractionBlock.Input,
+            output_schema=CodeExtractionBlock.Output,
+            test_input={
+                "text": "Here's a Python example:\n```python\nprint('Hello World')\n```\nAnd some HTML:\n```html\n<h1>Title</h1>\n```"
+            },
+            test_output=[
+                ("html", "<h1>Title</h1>"),
+                ("python", "print('Hello World')"),
+                ("remaining_text", "Here's a Python example:\nAnd some HTML:"),
+            ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # List of supported programming languages with mapped aliases
+        language_aliases = {
+            "html": ["html", "htm"],
+            "css": ["css"],
+            "javascript": ["javascript", "js"],
+            "python": ["python", "py"],
+            "sql": ["sql"],
+            "java": ["java"],
+            "cpp": ["cpp", "c++"],
+            "csharp": ["csharp", "c#", "cs"],
+            "json_code": ["json"],
+            "bash": ["bash", "shell", "sh"],
+            "php": ["php"],
+            "ruby": ["ruby", "rb"],
+            "yaml": ["yaml", "yml"],
+            "markdown": ["markdown", "md"],
+            "typescript": ["typescript", "ts"],
+            "xml": ["xml"],
+        }
+
+        # Extract code for each language
+        for canonical_name, aliases in language_aliases.items():
+            code = ""
+            # Try each alias for the language
+            for alias in aliases:
+                code_for_alias = self.extract_code(input_data.text, alias)
+                if code_for_alias:
+                    code = code + "\n\n" + code_for_alias if code else code_for_alias
+
+            if code:  # Only yield if there's actual code content
+                yield canonical_name, code
+
+        # Remove all code blocks from the text to get remaining text
+        pattern = (
+            r"```(?:"
+            + "|".join(
+                re.escape(alias)
+                for aliases in language_aliases.values()
+                for alias in aliases
+            )
+            + r")\s+[\s\S]*?```"
+        )
+
+        remaining_text = re.sub(pattern, "", input_data.text).strip()
+        remaining_text = re.sub(r"\n\s*\n", "\n", remaining_text)
+
+        if remaining_text:  # Only yield if there's remaining text
+            yield "remaining_text", remaining_text
+
+    def extract_code(self, text: str, language: str) -> str:
+        # Escape special regex characters in the language string
+        language = re.escape(language)
+        # Extract all code blocks enclosed in ```language``` blocks
+        pattern = re.compile(rf"```{language}\s+(.*?)```", re.DOTALL | re.IGNORECASE)
+        matches = pattern.finditer(text)
+        # Combine all code blocks for this language with newlines between them
+        code_blocks = [match.group(1).strip() for match in matches]
+        return "\n\n".join(code_blocks) if code_blocks else ""

autogpt_platform/backend/backend/blocks/compass/triggers.py

@@ -0,0 +1,59 @@
+from pydantic import BaseModel
+
+from backend.data.block import (
+    Block,
+    BlockCategory,
+    BlockManualWebhookConfig,
+    BlockOutput,
+    BlockSchema,
+)
+from backend.data.model import SchemaField
+from backend.integrations.webhooks.compass import CompassWebhookType
+
+
+class Transcription(BaseModel):
+    text: str
+    speaker: str
+    end: float
+    start: float
+    duration: float
+
+
+class TranscriptionDataModel(BaseModel):
+    date: str
+    transcription: str
+    transcriptions: list[Transcription]
+
+
+class CompassAITriggerBlock(Block):
+    class Input(BlockSchema):
+        payload: TranscriptionDataModel = SchemaField(hidden=True)
+
+    class Output(BlockSchema):
+        transcription: str = SchemaField(
+            description="The contents of the compass transcription."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="9464a020-ed1d-49e1-990f-7f2ac924a2b7",
+            description="This block will output the contents of the compass transcription.",
+            categories={BlockCategory.HARDWARE},
+            input_schema=CompassAITriggerBlock.Input,
+            output_schema=CompassAITriggerBlock.Output,
+            webhook_config=BlockManualWebhookConfig(
+                provider="compass",
+                webhook_type=CompassWebhookType.TRANSCRIPTION,
+            ),
+            test_input=[
+                {"input": "Hello, World!"},
+                {"input": "Hello, World!", "data": "Existing Data"},
+            ],
+            # test_output=[
+            #     ("output", "Hello, World!"),  # No data provided, so trigger is returned
+            #     ("output", "Existing Data"),  # Data is provided, so data is returned.
+            # ],
+        )
+
+    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "transcription", input_data.payload.transcription