added comments

.deepsource.toml

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

.dockerignore

@@ -1,65 +1,40 @@
 # Ignore everything by default, selectively add things to context
-*
+classic/run
 
-# Platform - Libs
-!autogpt_platform/autogpt_libs/autogpt_libs/
-!autogpt_platform/autogpt_libs/pyproject.toml
-!autogpt_platform/autogpt_libs/poetry.lock
-!autogpt_platform/autogpt_libs/README.md
-
-# Platform - Backend
-!autogpt_platform/backend/backend/
-!autogpt_platform/backend/test/e2e_test_data.py
-!autogpt_platform/backend/migrations/
-!autogpt_platform/backend/schema.prisma
-!autogpt_platform/backend/pyproject.toml
-!autogpt_platform/backend/poetry.lock
-!autogpt_platform/backend/README.md
-!autogpt_platform/backend/.env
-
-# Platform - Market
-!autogpt_platform/market/market/
-!autogpt_platform/market/scripts.py
-!autogpt_platform/market/schema.prisma
-!autogpt_platform/market/pyproject.toml
-!autogpt_platform/market/poetry.lock
-!autogpt_platform/market/README.md
-
-# Platform - Frontend
-!autogpt_platform/frontend/src/
-!autogpt_platform/frontend/public/
-!autogpt_platform/frontend/scripts/
-!autogpt_platform/frontend/package.json
-!autogpt_platform/frontend/pnpm-lock.yaml
-!autogpt_platform/frontend/tsconfig.json
-!autogpt_platform/frontend/README.md
-## config
-!autogpt_platform/frontend/*.config.*
-!autogpt_platform/frontend/.env.*
-!autogpt_platform/frontend/.env
-
-# Classic - AutoGPT
+# 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
+# Benchmark
 !classic/benchmark/agbenchmark/
 !classic/benchmark/pyproject.toml
 !classic/benchmark/poetry.lock
 !classic/benchmark/README.md
 
-# Classic - Forge
+# Forge
 !classic/forge/
 !classic/forge/pyproject.toml
 !classic/forge/poetry.lock
 !classic/forge/README.md
 
-# Classic - Frontend
+# Frontend
 !classic/frontend/build/web/
 
+# Platform
+!autogpt_platform/
+
 # Explicitly re-ignore some folders
 .*
 **/__pycache__
+
+autogpt_platform/frontend/.next/
+autogpt_platform/frontend/node_modules
+autogpt_platform/frontend/.env.example
+autogpt_platform/frontend/.env.local
+autogpt_platform/backend/.env
+autogpt_platform/backend/.venv/
+
+autogpt_platform/market/.env

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,39 +1,36 @@
+### Background
+
 <!-- Clearly explain the need for these changes: -->
 
 ### Changes 🏗️
 
 <!-- Concisely describe all of the changes made in this pull request: -->
 
-### Checklist 📋
 
-#### 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: -->
-  - [ ] ...
+### Testing 🔍
+> [!NOTE] 
+Only for the new autogpt platform, currently in autogpt_platform/
 
-<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>
+<!--
+Please make sure your changes have been tested and are in good working condition. 
+Here is a list of our critical paths, if you need some inspiration on what and how to test:
+-->
 
-#### For configuration changes:
+- 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
 
-- [ ] `.env.default` is updated or already compatible with my changes
-- [ ] `docker-compose.yml` is updated or already compatible with my changes
-- [ ] I have included a list of my configuration changes in the PR description (under **Changes**)
+### Configuration Changes 📝
+> [!NOTE] 
+Only for the new autogpt platform, currently in autogpt_platform/
 
-<details>
-  <summary>Examples of configuration changes</summary>
+If you're making configuration or infrastructure changes, please remember to check you've updated the related infrastructure code in the autogpt_platform/infra folder.
 
-  - 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>
+Examples of such changes might include: 
+
+- Changing ports
+- Adding new services that need to communicate with each other
+- Secrets or environment variable changes
+- New or infrastructure changes such as databases

.github/copilot-instructions.md

@@ -1,244 +0,0 @@
-# GitHub Copilot Instructions for AutoGPT
-
-This file provides comprehensive onboarding information for GitHub Copilot coding agent to work efficiently with the AutoGPT repository.
-
-## Repository Overview
-
-**AutoGPT** is a powerful platform for creating, deploying, and managing continuous AI agents that automate complex workflows. This is a large monorepo (~150MB) containing multiple components:
-
-- **AutoGPT Platform** (`autogpt_platform/`) - Main focus: Modern AI agent platform (Polyform Shield License)
-- **Classic AutoGPT** (`classic/`) - Legacy agent system (MIT License)
-- **Documentation** (`docs/`) - MkDocs-based documentation site
-- **Infrastructure** - Docker configurations, CI/CD, and development tools
-
-**Primary Languages & Frameworks:**
-- **Backend**: Python 3.10-3.13, FastAPI, Prisma ORM, PostgreSQL, RabbitMQ
-- **Frontend**: TypeScript, Next.js 15, React, Tailwind CSS, Radix UI
-- **Development**: Docker, Poetry, pnpm, Playwright, Storybook
-
-## Build and Validation Instructions
-
-### Essential Setup Commands
-
-**Always run these commands in the correct directory and in this order:**
-
-1. **Initial Setup** (required once):
-   ```bash
-   # Clone and enter repository
-   git clone <repo> && cd AutoGPT
-   
-   # Start all services (database, redis, rabbitmq, clamav)
-   cd autogpt_platform && docker compose --profile local up deps --build --detach
-   ```
-
-2. **Backend Setup** (always run before backend development):
-   ```bash
-   cd autogpt_platform/backend
-   poetry install                    # Install dependencies
-   poetry run prisma migrate dev     # Run database migrations
-   poetry run prisma generate        # Generate Prisma client
-   ```
-
-3. **Frontend Setup** (always run before frontend development):
-   ```bash
-   cd autogpt_platform/frontend
-   pnpm install                      # Install dependencies
-   ```
-
-### Runtime Requirements
-
-**Critical:** Always ensure Docker services are running before starting development:
-```bash
-cd autogpt_platform && docker compose --profile local up deps --build --detach
-```
-
-**Python Version:** Use Python 3.11 (required; managed by Poetry via pyproject.toml)
-**Node.js Version:** Use Node.js 21+ with pnpm package manager
-
-### Development Commands
-
-**Backend Development:**
-```bash
-cd autogpt_platform/backend
-poetry run serve                     # Start development server (port 8000)
-poetry run test                      # Run all tests (requires ~5 minutes)
-poetry run pytest path/to/test.py    # Run specific test
-poetry run format                    # Format code (Black + isort) - always run first
-poetry run lint                      # Lint code (ruff) - run after format
-```
-
-**Frontend Development:**
-```bash
-cd autogpt_platform/frontend
-pnpm dev                            # Start development server (port 3000) - use for active development
-pnpm build                          # Build for production (only needed for E2E tests or deployment)
-pnpm test                           # Run Playwright E2E tests (requires build first)
-pnpm test-ui                        # Run tests with UI
-pnpm format                         # Format and lint code
-pnpm storybook                      # Start component development server
-```
-
-### Testing Strategy
-
-**Backend Tests:**
-- **Block Tests**: `poetry run pytest backend/blocks/test/test_block.py -xvs` (validates all blocks)
-- **Specific Block**: `poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[BlockName]' -xvs`
-- **Snapshot Tests**: Use `--snapshot-update` when output changes, always review with `git diff`
-
-**Frontend Tests:**
-- **E2E Tests**: Always run `pnpm dev` before `pnpm test` (Playwright requires running instance)
-- **Component Tests**: Use Storybook for isolated component development
-
-### Critical Validation Steps
-
-**Before committing changes:**
-1. Run `poetry run format` (backend) and `pnpm format` (frontend)
-2. Ensure all tests pass in modified areas
-3. Verify Docker services are still running
-4. Check that database migrations apply cleanly
-
-**Common Issues & Workarounds:**
-- **Prisma issues**: Run `poetry run prisma generate` after schema changes
-- **Permission errors**: Ensure Docker has proper permissions
-- **Port conflicts**: Check the `docker-compose.yml` file for the current list of exposed ports. You can list all mapped ports with:
-- **Test timeouts**: Backend tests can take 5+ minutes, use `-x` flag to stop on first failure
-
-## Project Layout & Architecture
-
-### Core Architecture
-
-**AutoGPT Platform** (`autogpt_platform/`):
-- `backend/` - FastAPI server with async support
-  - `backend/backend/` - Core API logic
-  - `backend/blocks/` - Agent execution blocks
-  - `backend/data/` - Database models and schemas
-  - `schema.prisma` - Database schema definition
-- `frontend/` - Next.js application
-  - `src/app/` - App Router pages and layouts
-  - `src/components/` - Reusable React components
-  - `src/lib/` - Utilities and configurations
-- `autogpt_libs/` - Shared Python utilities
-- `docker-compose.yml` - Development stack orchestration
-
-**Key Configuration Files:**
-- `pyproject.toml` - Python dependencies and tooling
-- `package.json` - Node.js dependencies and scripts
-- `schema.prisma` - Database schema and migrations
-- `next.config.mjs` - Next.js configuration
-- `tailwind.config.ts` - Styling configuration
-
-### Security & Middleware
-
-**Cache Protection**: Backend includes middleware preventing sensitive data caching in browsers/proxies
-**Authentication**: JWT-based with Supabase integration
-**User ID Validation**: All data access requires user ID checks - verify this for any `data/*.py` changes
-
-### Development Workflow
-
-**GitHub Actions**: Multiple CI/CD workflows in `.github/workflows/`
-- `platform-backend-ci.yml` - Backend testing and validation
-- `platform-frontend-ci.yml` - Frontend testing and validation
-- `platform-fullstack-ci.yml` - End-to-end integration tests
-
-**Pre-commit Hooks**: Run linting and formatting checks
-**Conventional Commits**: Use format `type(scope): description` (e.g., `feat(backend): add API`)
-
-### Key Source Files
-
-**Backend Entry Points:**
-- `backend/backend/server/server.py` - FastAPI application setup
-- `backend/backend/data/` - Database models and user management
-- `backend/blocks/` - Agent execution blocks and logic
-
-**Frontend Entry Points:**
-- `frontend/src/app/layout.tsx` - Root application layout
-- `frontend/src/app/page.tsx` - Home page
-- `frontend/src/lib/supabase/` - Authentication and database client
-
-**Protected Routes**: Update `frontend/lib/supabase/middleware.ts` when adding protected routes
-
-### Agent Block System
-
-Agents are built using a visual block-based system where each block performs a single action. Blocks are defined in `backend/blocks/` and must include:
-- Block definition with input/output schemas
-- Execution logic with proper error handling
-- Tests validating functionality
-
-### Database & ORM
-
-**Prisma ORM** with PostgreSQL backend including pgvector for embeddings:
-- Schema in `schema.prisma`
-- Migrations in `backend/migrations/`
-- Always run `prisma migrate dev` and `prisma generate` after schema changes
-
-## Environment Configuration
-
-### Configuration Files Priority Order
-1. **Backend**: `/backend/.env.default` → `/backend/.env` (user overrides)
-2. **Frontend**: `/frontend/.env.default` → `/frontend/.env` (user overrides)  
-3. **Platform**: `/.env.default` (Supabase/shared) → `/.env` (user overrides)
-4. Docker Compose `environment:` sections override file-based config
-5. Shell environment variables have highest precedence
-
-### Docker Environment Setup
-- All services use hardcoded defaults (no `${VARIABLE}` substitutions)
-- The `env_file` directive loads variables INTO containers at runtime
-- Backend/Frontend services use YAML anchors for consistent configuration
-- Copy `.env.default` files to `.env` for local development customization
-
-## Advanced Development Patterns
-
-### Adding New Blocks
-1. Create file in `/backend/backend/blocks/`
-2. Inherit from `Block` base class with input/output schemas
-3. Implement `run` method with proper error handling
-4. Generate block UUID using `uuid.uuid4()`
-5. Register in block registry
-6. Write tests alongside block implementation
-7. Consider how inputs/outputs connect with other blocks in graph editor
-
-### API Development
-1. Update routes in `/backend/backend/server/routers/`
-2. Add/update Pydantic models in same directory
-3. Write tests alongside route files
-4. For `data/*.py` changes, validate user ID checks
-5. Run `poetry run test` to verify changes
-
-### Frontend Development
-1. Components in `/frontend/src/components/`
-2. Use existing UI components from `/frontend/src/components/ui/`
-3. Add Storybook stories for component development
-4. Test user-facing features with Playwright E2E tests
-5. Update protected routes in middleware when needed
-
-### Security Guidelines
-**Cache Protection Middleware** (`/backend/backend/server/middleware/security.py`):
-- Default: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
-- Uses allow list approach for cacheable paths (static assets, health checks, public pages)
-- Prevents sensitive data caching in browsers/proxies
-- Add new cacheable endpoints to `CACHEABLE_PATHS`
-
-### CI/CD Alignment
-The repository has comprehensive CI workflows that test:
-- **Backend**: Python 3.11-3.13, services (Redis/RabbitMQ/ClamAV), Prisma migrations, Poetry lock validation
-- **Frontend**: Node.js 21, pnpm, Playwright with Docker Compose stack, API schema validation
-- **Integration**: Full-stack type checking and E2E testing
-
-Match these patterns when developing locally - the copilot setup environment mirrors these CI configurations.
-
-## Collaboration with Other AI Assistants
-
-This repository is actively developed with assistance from Claude (via CLAUDE.md files). When working on this codebase:
-- Check for existing CLAUDE.md files that provide additional context
-- Follow established patterns and conventions already in the codebase
-- Maintain consistency with existing code style and architecture
-- Consider that changes may be reviewed and extended by both human developers and AI assistants
-
-## Trust These Instructions
-
-These instructions are comprehensive and tested. Only perform additional searches if:
-1. Information here is incomplete for your specific task
-2. You encounter errors not covered by the workarounds
-3. You need to understand implementation details not covered above
-
-For detailed platform development patterns, refer to `autogpt_platform/CLAUDE.md` and `AGENTS.md` in the repository root.

.github/dependabot.yml

@@ -7,22 +7,17 @@ updates:
       interval: "weekly"
     open-pull-requests-limit: 10
     target-branch: "dev"
-    commit-message:
-      prefix: "chore(libs/deps)"
-      prefix-development: "chore(libs/deps-dev)"
-    ignore:
-      - dependency-name: "poetry"
     groups:
       production-dependencies:
         dependency-type: "production"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
 
   # backend (Poetry project)
   - package-ecosystem: "pip"
@@ -31,22 +26,18 @@ updates:
       interval: "weekly"
     open-pull-requests-limit: 10
     target-branch: "dev"
-    commit-message:
-      prefix: "chore(backend/deps)"
-      prefix-development: "chore(backend/deps-dev)"
-    ignore:
-      - dependency-name: "poetry"
     groups:
       production-dependencies:
         dependency-type: "production"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
+
 
   # frontend (Next.js project)
   - package-ecosystem: "npm"
@@ -55,20 +46,18 @@ updates:
       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"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
+
 
   # infra (Terraform)
   - package-ecosystem: "terraform"
@@ -77,21 +66,38 @@ updates:
       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"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
+
+
+  # market (Poetry project)
+  - package-ecosystem: "pip"
+    directory: "autogpt_platform/market"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 10
+    target-branch: "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"
@@ -104,13 +110,14 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
+
 
   # Docker
   - package-ecosystem: "docker"
@@ -123,31 +130,50 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"
+
+
+  # Submodules
+  - package-ecosystem: "gitsubmodule"
+    directory: "autogpt_platform/supabase"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 1
+    target-branch: "dev"
+    groups:
+      production-dependencies:
+        dependency-type: "production"
+        update-types:
+        - "minor"
+        - "patch"
+      development-dependencies:
+        dependency-type: "development"
+        update-types:
+        - "minor"
+        - "patch"
+
 
   # Docs
-  - package-ecosystem: "pip"
+  - 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"
+        - "minor"
+        - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-          - "minor"
-          - "patch"
+        - "minor"
+        - "patch"

.github/labeler.yml

@@ -24,9 +24,8 @@ platform/frontend:
 
 platform/backend:
 - changed-files:
-  - all-globs-to-any-file:
-    - autogpt_platform/backend/**
-    - '!autogpt_platform/backend/backend/blocks/**'
+  - any-glob-to-any-file: autogpt_platform/backend/**
+  - all-globs-to-all-files: '!autogpt_platform/backend/backend/blocks/**'
 
 platform/blocks:
 - changed-files:

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

@@ -115,7 +115,6 @@ jobs:
           poetry run pytest -vv \
             --cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
             --numprocesses=logical --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
             tests/unit tests/integration
         env:
           CI: true
@@ -125,14 +124,8 @@ jobs:
           AWS_ACCESS_KEY_ID: minioadmin
           AWS_SECRET_ACCESS_KEY: minioadmin
 
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
+        uses: codecov/codecov-action@v4
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: autogpt-agent,${{ runner.os }}

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

@@ -5,7 +5,7 @@ on:
     - cron: 20 4 * * 1,4
 
 env:
-  BASE_BRANCH: dev
+  BASE_BRANCH: development
   IMAGE_NAME: auto-gpt
 
 jobs:
@@ -15,46 +15,46 @@ 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
 
-      - 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
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v5
+      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 }}
+    - name: Generate build report
+      env:
+        event_name: ${{ github.event_name }}
+        event_ref: ${{ github.event.schedule }}
 
-          build_type: ${{ matrix.build-type }}
+        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' }}
+        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:
+        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) }}
+        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) }}
+        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

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

@@ -2,7 +2,7 @@ name: Classic - AutoGPT Docker CI
 
 on:
   push:
-    branches: [master, dev]
+    branches: [ master, development ]
     paths:
       - '.github/workflows/classic-autogpt-docker-ci.yml'
       - 'classic/original_autogpt/**'
@@ -34,58 +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@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
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v5
+      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: dev
-          repository: ${{ github.repository }}
-          base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
+        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.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
@@ -117,16 +117,16 @@ jobs:
 
       - id: build
         name: Build image
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         with:
           context: classic/
           file: classic/Dockerfile.autogpt
-          build-args: BUILD_TYPE=dev # include pytest
+          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

@@ -2,7 +2,7 @@ name: Classic - AutoGPT Docker Release
 
 on:
   release:
-    types: [published, edited]
+    types: [ published, edited ]
 
   workflow_dispatch:
     inputs:
@@ -19,69 +19,69 @@ jobs:
     if: startsWith(github.ref, 'refs/tags/autogpt-')
     runs-on: ubuntu-latest
     steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
+    - 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: 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
+    - 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: ${{ github.ref_name }}
+      # slashes are not allowed in image tags, but can appear in git branch or tag names
+    - id: sanitize_tag
+      name: Sanitize image tag
+      run: |
+        tag=${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 }}
+    - id: build
+      name: Build image
+      uses: docker/build-push-action@v5
+      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
+        # 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: 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 }}
+    - 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' }}
+        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) }}
+        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) }}
+        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
+      run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
+      continue-on-error: true

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

@@ -87,20 +87,13 @@ jobs:
           poetry run pytest -vv \
             --cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
             --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
             tests
         env:
           CI: true
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
 
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
+        uses: codecov/codecov-action@v4
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: agbenchmark,${{ runner.os }}
@@ -109,7 +102,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        agent-name: [forge]
+        agent-name: [ forge ]
       fail-fast: false
     timeout-minutes: 20
     steps:
@@ -153,23 +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=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../classic/frontend/assets)') || echo "No diffs"
-          # if [ ! -z "$CHANGED" ]; then
-          #   echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
-          #   echo "$CHANGED"
-          #   exit 1
-          # else
-          #   echo "No unstaged changes."
-          # fi
+          CHANGED=$(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-forge-ci.yml

@@ -139,7 +139,6 @@ jobs:
           poetry run pytest -vv \
             --cov=forge --cov-branch --cov-report term-missing --cov-report xml \
             --durations=10 \
-            --junitxml=junit.xml -o junit_family=legacy \
             forge
         env:
           CI: true
@@ -149,14 +148,8 @@ jobs:
           AWS_ACCESS_KEY_ID: minioadmin
           AWS_SECRET_ACCESS_KEY: minioadmin
 
-      - name: Upload test results to Codecov
-        if: ${{ !cancelled() }}  # Run even if tests fail
-        uses: codecov/test-results-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
+        uses: codecov/codecov-action@v4
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: forge,${{ runner.os }}

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

@@ -4,7 +4,7 @@ on:
   push:
     branches:
       - master
-      - dev
+      - development
       - 'ci-test*' # This will match any branch that starts with "ci-test"
     paths:
       - 'classic/frontend/**'
@@ -24,37 +24,37 @@ jobs:
       BUILD_BRANCH: ${{ format('classic-frontend-build/{0}', github.ref_name) }}
 
     steps:
-      - name: Checkout Repo
-        uses: actions/checkout@v4
+    - name: Checkout Repo
+      uses: actions/checkout@v4
 
-      - name: Setup Flutter
-        uses: subosito/flutter-action@v2
-        with:
-          flutter-version: '3.13.2'
+    - 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: 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: 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 }}"
+    - 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/claude-ci-failure-auto-fix.yml

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

.github/workflows/claude-dependabot.yml

@@ -1,379 +0,0 @@
-# Claude Dependabot PR Review Workflow
-# 
-# This workflow automatically runs Claude analysis on Dependabot PRs to:
-# - Identify dependency changes and their versions
-# - Look up changelogs for updated packages  
-# - Assess breaking changes and security impacts
-# - Provide actionable recommendations for the development team
-#
-# Triggered on: Dependabot PRs (opened, synchronize)
-# Requirements: ANTHROPIC_API_KEY secret must be configured
-
-name: Claude Dependabot PR Review
-
-on:
-  pull_request:
-    types: [opened, synchronize]
-
-jobs:
-  dependabot-review:
-    # Only run on Dependabot PRs
-    if: github.actor == 'dependabot[bot]'
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-
-    permissions:
-      contents: write
-      pull-requests: read
-      issues: read
-      id-token: write
-      actions: read # Required for CI access
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 1
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"
-
-
-      - name: Run Claude Dependabot Analysis
-        id: claude_review
-        uses: anthropics/claude-code-action@v1
-        with:
-          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
-          claude_args: |
-            --allowedTools "Bash(npm:*),Bash(pnpm:*),Bash(poetry:*),Bash(git:*),Edit,Replace,NotebookEditCell,mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*)"
-          prompt: |
-            You are Claude, an AI assistant specialized in reviewing Dependabot dependency update PRs. 
-            
-            Your primary tasks are:
-            1. **Analyze the dependency changes** in this Dependabot PR
-            2. **Look up changelogs** for all updated dependencies to understand what changed
-            3. **Identify breaking changes** and assess potential impact on the AutoGPT codebase
-            4. **Provide actionable recommendations** for the development team
-            
-            ## Analysis Process:
-            
-            1. **Identify Changed Dependencies**: 
-               - Use git diff to see what dependencies were updated
-               - Parse package.json, poetry.lock, requirements files, etc.
-               - List all package versions: old → new
-            
-            2. **Changelog Research**:
-               - For each updated dependency, look up its changelog/release notes
-               - Use WebFetch to access GitHub releases, NPM package pages, PyPI project pages. The pr should also have some details
-               - Focus on versions between the old and new versions
-               - Identify: breaking changes, deprecations, security fixes, new features
-            
-            3. **Breaking Change Assessment**:
-               - Categorize changes: BREAKING, MAJOR, MINOR, PATCH, SECURITY
-               - Assess impact on AutoGPT's usage patterns
-               - Check if AutoGPT uses affected APIs/features
-               - Look for migration guides or upgrade instructions
-            
-            4. **Codebase Impact Analysis**:
-               - Search the AutoGPT codebase for usage of changed APIs
-               - Identify files that might be affected by breaking changes
-               - Check test files for deprecated usage patterns
-               - Look for configuration changes needed
-            
-            ## Output Format:
-            
-            Provide a comprehensive review comment with:
-            
-            ### 🔍 Dependency Analysis Summary
-            - List of updated packages with version changes
-            - Overall risk assessment (LOW/MEDIUM/HIGH)
-            
-            ### 📋 Detailed Changelog Review
-            For each updated dependency:
-            - **Package**: name (old_version → new_version)
-            - **Changes**: Summary of key changes
-            - **Breaking Changes**: List any breaking changes
-            - **Security Fixes**: Note security improvements
-            - **Migration Notes**: Any upgrade steps needed
-            
-            ### ⚠️ Impact Assessment
-            - **Breaking Changes Found**: Yes/No with details
-            - **Affected Files**: List AutoGPT files that may need updates
-            - **Test Impact**: Any tests that may need updating
-            - **Configuration Changes**: Required config updates
-            
-            ### 🛠️ Recommendations
-            - **Action Required**: What the team should do
-            - **Testing Focus**: Areas to test thoroughly
-            - **Follow-up Tasks**: Any additional work needed
-            - **Merge Recommendation**: APPROVE/REVIEW_NEEDED/HOLD
-            
-            ### 📚 Useful Links
-            - Links to relevant changelogs, migration guides, documentation
-            
-            Be thorough but concise. Focus on actionable insights that help the development team make informed decisions about the dependency updates.

.github/workflows/claude.yml

@@ -1,325 +0,0 @@
-name: Claude Code
-
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review_comment:
-    types: [created]
-  issues:
-    types: [opened, assigned]
-  pull_request_review:
-    types: [submitted]
-
-jobs:
-  claude:
-    if: |
-      (
-        (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
-        (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
-        (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
-        (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
-      ) && (
-        github.event.comment.author_association == 'OWNER' ||
-        github.event.comment.author_association == 'MEMBER' ||
-        github.event.comment.author_association == 'COLLABORATOR' ||
-        github.event.review.author_association == 'OWNER' ||
-        github.event.review.author_association == 'MEMBER' ||
-        github.event.review.author_association == 'COLLABORATOR' ||
-        github.event.issue.author_association == 'OWNER' ||
-        github.event.issue.author_association == 'MEMBER' ||
-        github.event.issue.author_association == 'COLLABORATOR'
-      )
-    runs-on: ubuntu-latest
-    timeout-minutes: 45
-
-    permissions:
-      contents: write
-      pull-requests: read
-      issues: read
-      id-token: write
-      actions: read # Required for CI access
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 1
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"
-
-      - name: Run Claude Code
-        id: claude
-        uses: anthropics/claude-code-action@v1
-        with:
-          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
-          claude_args: |
-            --allowedTools "Bash(npm:*),Bash(pnpm:*),Bash(poetry:*),Bash(git:*),Edit,Replace,NotebookEditCell,mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr edit:*)"
-            --model opus
-          additional_permissions: |
-            actions: read

.github/workflows/codeql.yml

@@ -13,10 +13,9 @@ name: "CodeQL"
 
 on:
   push:
-    branches: [ "master", "release-*", "dev" ]
+    branches: [ "master", "release-*" ]
   pull_request:
-    branches: [ "master", "release-*", "dev" ]
-  merge_group:
+    branches: [ "master", "release-*" ]
   schedule:
     - cron: '15 4 * * 0'
 

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

@@ -1,302 +0,0 @@
-name: "Copilot Setup Steps"
-
-# Automatically run the setup steps when they are changed to allow for easy validation, and
-# allow manual testing through the repository's "Actions" tab
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-  pull_request:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-
-jobs:
-  # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
-  copilot-setup-steps:
-    runs-on: ubuntu-latest
-    timeout-minutes: 45
-
-    # Set the permissions to the lowest permissions possible needed for your steps.
-    # Copilot will be given its own token for its operations.
-    permissions:
-      # If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
-      contents: read
-
-    # You can define any steps you want, and they will run before the agent starts.
-    # If you do not check out your code, Copilot will do this for you.
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "kong:2.8.1"
-            "supabase/gotrue:v2.170.0"
-            "supabase/postgres:15.8.1.049"
-            "supabase/postgres-meta:v0.86.1"
-            "supabase/studio:20250224-d10db0f"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${IMAGES[@]}"; do
-              # Convert image name to filename (replace : and / with -)
-              filename=$(echo "$image" | tr ':/' '--')
-              if [ -f ~/docker-cache/${filename}.tar ]; then
-                echo "Loading $image..."
-                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
-              fi
-            done
-            wait
-            echo "All cached images loaded"
-          else
-            echo "No Docker cache found, pulling images in parallel..."
-            # Pull all images in parallel
-            for image in "${IMAGES[@]}"; do
-              docker pull "$image" &
-            done
-            wait
-            
-            # Only save cache on main branches (not PRs) to avoid cache pollution
-            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
-              echo "Saving Docker images to cache in parallel..."
-              for image in "${IMAGES[@]}"; do
-                # Convert image name to filename (replace : and / with -)
-                filename=$(echo "$image" | tr ':/' '--')
-                echo "Saving $image..."
-                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
-              done
-              wait
-              echo "Docker image cache saved"
-            else
-              echo "Skipping cache save for PR/feature branch"
-            fi
-          fi
-          
-          echo "Docker images ready for use"
-
-      # Phase 2: Build migrate service with GitHub Actions cache
-      - name: Build migrate Docker image with cache
-        working-directory: autogpt_platform
-        run: |
-          # Build the migrate image with buildx for GHA caching
-          docker buildx build \
-            --cache-from type=gha \
-            --cache-to type=gha,mode=max \
-            --target migrate \
-            --tag autogpt_platform-migrate:latest \
-            --load \
-            -f backend/Dockerfile \
-            ..
-
-      # Start services using pre-built images
-      - name: Start Docker services for development
-        working-directory: autogpt_platform
-        run: |
-          # Start essential services (migrate image already built with correct tag)
-          docker compose --profile local up deps --no-build --detach
-          echo "Waiting for services to be ready..."
-          
-          # Wait for database to be ready
-          echo "Checking database readiness..."
-          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
-            echo "  Waiting for database..."
-            sleep 2
-          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
-          
-          # Check migrate service status
-          echo "Checking migration status..."
-          docker compose ps migrate || echo "  Migrate service not visible in ps output"
-          
-          # Wait for migrate service to complete
-          echo "Waiting for migrations to complete..."
-          timeout 30 bash -c '
-            ATTEMPTS=0
-            while [ $ATTEMPTS -lt 15 ]; do
-              ATTEMPTS=$((ATTEMPTS + 1))
-              
-              # Check using docker directly (more reliable than docker compose ps)
-              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
-              
-              if [ -z "$CONTAINER_STATUS" ]; then
-                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
-                echo "✅ Migrations completed successfully"
-                docker compose logs migrate --tail=5 2>/dev/null || true
-                exit 0
-              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
-                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
-                echo "❌ Migrations failed with exit code: $EXIT_CODE"
-                echo "Migration logs:"
-                docker compose logs migrate --tail=20 2>/dev/null || true
-                exit 1
-              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
-                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
-              else
-                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
-              fi
-              
-              sleep 2
-            done
-            
-            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
-            echo "Final container check:"
-            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
-            echo "Migration logs (if available):"
-            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
-          ' || echo "⚠️ Migration check completed with warnings, continuing..."
-          
-          # Brief wait for other services to stabilize
-          echo "Waiting 5 seconds for other services to stabilize..."
-          sleep 5
-
-      # Verify installations and provide environment info
-      - name: Verify setup and show environment info
-        run: |
-          echo "=== Python Setup ==="
-          python --version
-          poetry --version
-          
-          echo "=== Node.js Setup ==="
-          node --version
-          pnpm --version
-          
-          echo "=== Additional Tools ==="
-          docker --version
-          docker compose version
-          gh --version || true
-          
-          echo "=== Services Status ==="
-          cd autogpt_platform
-          docker compose ps || true
-          
-          echo "=== Backend Dependencies ==="
-          cd backend
-          poetry show | head -10 || true
-          
-          echo "=== Frontend Dependencies ==="
-          cd ../frontend
-          pnpm list --depth=0 | head -10 || true
-          
-          echo "=== Environment Files ==="
-          ls -la ../.env* || true
-          ls -la .env* || true
-          ls -la ../backend/.env* || true
-          
-          echo "✅ AutoGPT Platform development environment setup complete!"
-          echo "🚀 Ready for development with Docker services running"
-          echo "📝 Backend server: poetry run serve (port 8000)"
-          echo "🌐 Frontend server: pnpm dev (port 3000)"

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

@@ -0,0 +1,182 @@
+name: AutoGPT Platform - Build, Push, and Deploy Prod Environment
+
+on:
+  release:
+    types: [published]
+
+permissions:
+  contents: 'read'
+  id-token: 'write'
+
+env:
+  PROJECT_ID: ${{ secrets.GCP_PROJECT_ID }}
+  GKE_CLUSTER: prod-gke-cluster
+  GKE_ZONE: us-central1-a
+  NAMESPACE: prod-agpt
+
+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 }}
+
+      - name: Run Market Migrations
+        working-directory: ./autogpt_platform/market
+        run: |
+          python -m prisma migrate deploy
+        env:
+          DATABASE_URL: ${{ secrets.MARKET_DATABASE_URL }}
+          
+  build-push-deploy:
+    environment: production
+    name: Build, Push, and Deploy
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+      with:
+        fetch-depth: 0
+
+    - id: 'auth'
+      uses: 'google-github-actions/auth@v2'
+      with:
+        workload_identity_provider: 'projects/1021527134101/locations/global/workloadIdentityPools/prod-pool/providers/github'
+        service_account: 'prod-github-actions-sa@agpt-prod.iam.gserviceaccount.com'
+        token_format: 'access_token'
+        create_credentials_file: true
+
+    - name: 'Set up Cloud SDK'
+      uses: 'google-github-actions/setup-gcloud@v2'
+
+    - name: 'Configure Docker'
+      run: |
+        gcloud auth configure-docker us-east1-docker.pkg.dev
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+
+    - name: Cache Docker layers
+      uses: actions/cache@v4
+      with:
+        path: /tmp/.buildx-cache
+        key: ${{ runner.os }}-buildx-${{ github.sha }}
+        restore-keys: |
+          ${{ runner.os }}-buildx-
+
+    - name: Check for changes
+      id: check_changes
+      run: |
+        git fetch origin master
+        BACKEND_CHANGED=$(git diff --name-only origin/master HEAD | grep "^autogpt_platform/backend/" && echo "true" || echo "false")
+        FRONTEND_CHANGED=$(git diff --name-only origin/master HEAD | grep "^autogpt_platform/frontend/" && echo "true" || echo "false")
+        MARKET_CHANGED=$(git diff --name-only origin/master HEAD | grep "^autogpt_platform/market/" && echo "true" || echo "false")
+        echo "backend_changed=$BACKEND_CHANGED" >> $GITHUB_OUTPUT
+        echo "frontend_changed=$FRONTEND_CHANGED" >> $GITHUB_OUTPUT
+        echo "market_changed=$MARKET_CHANGED" >> $GITHUB_OUTPUT
+
+    - name: Get GKE credentials
+      uses: 'google-github-actions/get-gke-credentials@v2'
+      with:
+        cluster_name: ${{ env.GKE_CLUSTER }}
+        location: ${{ env.GKE_ZONE }}
+
+    - name: Build and Push Backend
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/backend/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-prod/agpt-backend-prod/agpt-backend-prod:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Build and Push Frontend
+      if: steps.check_changes.outputs.frontend_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/frontend/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-prod/agpt-frontend-prod/agpt-frontend-prod:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Build and Push Market
+      if: steps.check_changes.outputs.market_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/market/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-prod/agpt-market-prod/agpt-market-prod:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Move cache
+      run: |
+        rm -rf /tmp/.buildx-cache
+        mv /tmp/.buildx-cache-new /tmp/.buildx-cache
+
+    - name: Set up Helm
+      uses: azure/setup-helm@v4
+      with:
+        version: v3.4.0
+
+    - name: Deploy Backend
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      run: |
+        helm upgrade autogpt-server ./autogpt-server \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-server/values.yaml \
+          -f autogpt-server/values.prod.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Websocket
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      run: |
+        helm upgrade autogpt-websocket-server ./autogpt-websocket-server \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-websocket-server/values.yaml \
+          -f autogpt-websocket-server/values.prod.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Market
+      if: steps.check_changes.outputs.market_changed == 'true'
+      run: |
+        helm upgrade autogpt-market ./autogpt-market \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-market/values.yaml \
+          -f autogpt-market/values.prod.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Frontend
+      if: steps.check_changes.outputs.frontend_changed == 'true'
+      run: |
+        helm upgrade autogpt-builder ./autogpt-builder \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-builder/values.yaml \
+          -f autogpt-builder/values.prod.yaml \
+          --set image.tag=${{ github.sha }}

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

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

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

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

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

@@ -0,0 +1,186 @@
+name: AutoGPT Platform - Build, Push, and Deploy Dev Environment
+
+on:
+  push:
+    branches: [ dev ]
+    paths:
+      - 'autogpt_platform/backend/**'
+      - 'autogpt_platform/frontend/**'
+      - 'autogpt_platform/market/**'
+
+permissions:
+  contents: 'read'
+  id-token: 'write'
+
+env:
+  PROJECT_ID: ${{ secrets.GCP_PROJECT_ID }}
+  GKE_CLUSTER: dev-gke-cluster
+  GKE_ZONE: us-central1-a
+  NAMESPACE: dev-agpt
+
+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 }}
+
+      - name: Run Market Migrations
+        working-directory: ./autogpt_platform/market
+        run: |
+          python -m prisma migrate deploy
+        env:
+          DATABASE_URL: ${{ secrets.MARKET_DATABASE_URL }}
+
+  build-push-deploy:
+    name: Build, Push, and Deploy
+    needs: migrate
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+      with:
+        fetch-depth: 0
+
+    - id: 'auth'
+      uses: 'google-github-actions/auth@v2'
+      with:
+        workload_identity_provider: 'projects/638488734936/locations/global/workloadIdentityPools/dev-pool/providers/github'
+        service_account: 'dev-github-actions-sa@agpt-dev.iam.gserviceaccount.com'
+        token_format: 'access_token'
+        create_credentials_file: true
+
+    - name: 'Set up Cloud SDK'
+      uses: 'google-github-actions/setup-gcloud@v2'
+
+    - name: 'Configure Docker'
+      run: |
+        gcloud auth configure-docker us-east1-docker.pkg.dev
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+
+    - name: Cache Docker layers
+      uses: actions/cache@v4
+      with:
+        path: /tmp/.buildx-cache
+        key: ${{ runner.os }}-buildx-${{ github.sha }}
+        restore-keys: |
+          ${{ runner.os }}-buildx-
+
+    - name: Check for changes
+      id: check_changes
+      run: |
+        git fetch origin dev
+        BACKEND_CHANGED=$(git diff --name-only origin/dev HEAD | grep "^autogpt_platform/backend/" && echo "true" || echo "false")
+        FRONTEND_CHANGED=$(git diff --name-only origin/dev HEAD | grep "^autogpt_platform/frontend/" && echo "true" || echo "false")
+        MARKET_CHANGED=$(git diff --name-only origin/dev HEAD | grep "^autogpt_platform/market/" && echo "true" || echo "false")
+        echo "backend_changed=$BACKEND_CHANGED" >> $GITHUB_OUTPUT
+        echo "frontend_changed=$FRONTEND_CHANGED" >> $GITHUB_OUTPUT
+        echo "market_changed=$MARKET_CHANGED" >> $GITHUB_OUTPUT
+
+    - name: Get GKE credentials
+      uses: 'google-github-actions/get-gke-credentials@v2'
+      with:
+        cluster_name: ${{ env.GKE_CLUSTER }}
+        location: ${{ env.GKE_ZONE }}
+
+    - name: Build and Push Backend
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/backend/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-dev/agpt-backend-dev/agpt-backend-dev:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Build and Push Frontend
+      if: steps.check_changes.outputs.frontend_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/frontend/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-dev/agpt-frontend-dev/agpt-frontend-dev:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Build and Push Market
+      if: steps.check_changes.outputs.market_changed == 'true'
+      uses: docker/build-push-action@v2
+      with:
+        context: .
+        file: ./autogpt_platform/market/Dockerfile
+        push: true
+        tags: us-east1-docker.pkg.dev/agpt-dev/agpt-market-dev/agpt-market-dev:${{ github.sha }}
+        cache-from: type=local,src=/tmp/.buildx-cache
+        cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
+
+    - name: Move cache
+      run: |
+        rm -rf /tmp/.buildx-cache
+        mv /tmp/.buildx-cache-new /tmp/.buildx-cache
+
+    - name: Set up Helm
+      uses: azure/setup-helm@v4
+      with:
+        version: v3.4.0
+
+    - name: Deploy Backend
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      run: |
+        helm upgrade autogpt-server ./autogpt-server \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-server/values.yaml \
+          -f autogpt-server/values.dev.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Websocket
+      if: steps.check_changes.outputs.backend_changed == 'true'
+      run: |
+        helm upgrade autogpt-websocket-server ./autogpt-websocket-server \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-websocket-server/values.yaml \
+          -f autogpt-websocket-server/values.dev.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Market
+      if: steps.check_changes.outputs.market_changed == 'true'
+      run: |
+        helm upgrade autogpt-market ./autogpt-market \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-market/values.yaml \
+          -f autogpt-market/values.dev.yaml \
+          --set image.tag=${{ github.sha }}
+
+    - name: Deploy Frontend
+      if: steps.check_changes.outputs.frontend_changed == 'true'
+      run: |
+        helm upgrade autogpt-builder ./autogpt-builder \
+          --namespace ${{ env.NAMESPACE }} \
+          -f autogpt-builder/values.yaml \
+          -f autogpt-builder/values.dev.yaml \
+          --set image.tag=${{ github.sha }}

.github/workflows/platform-autogpt-infra-ci.yml

@@ -0,0 +1,56 @@
+name: AutoGPT Platform - Infra
+
+on:
+  push:
+    branches: [ master, dev ]
+    paths:
+      - '.github/workflows/platform-autogpt-infra-ci.yml'
+      - 'autogpt_platform/infra/**'
+  pull_request:
+    paths:
+      - '.github/workflows/platform-autogpt-infra-ci.yml'
+      - 'autogpt_platform/infra/**'
+
+defaults:
+  run:
+    shell: bash
+    working-directory: autogpt_platform/infra
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: TFLint
+        uses: pauloconnor/tflint-action@v0.0.2
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+            tflint_path: terraform/
+            tflint_recurse: true
+            tflint_changed_only: false
+
+      - name: Set up Helm
+        uses: azure/setup-helm@v4
+        with:
+          version: v3.14.4
+
+      - name: Set up chart-testing
+        uses: helm/chart-testing-action@v2.6.1
+
+      - name: Run chart-testing (list-changed)
+        id: list-changed
+        run: |
+          changed=$(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/platform-backend-ci.yml

@@ -6,14 +6,11 @@ on:
     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) }}
@@ -32,39 +29,16 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.11", "3.12", "3.13"]
+        python-version: ["3.10"]
     runs-on: ubuntu-latest
 
     services:
       redis:
-        image: redis:latest
+        image: bitnami/redis:6.2
+        env:
+          REDIS_PASSWORD: testpassword
         ports:
           - 6379:6379
-      rabbitmq:
-        image: rabbitmq:3.12-management
-        ports:
-          - 5672:5672
-          - 15672:15672
-        env:
-          RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
-          RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
-      clamav:
-        image: clamav/clamav-debian:latest
-        ports:
-          - 3310:3310
-        env:
-          CLAMAV_NO_FRESHCLAMD: false
-          CLAMD_CONF_StreamMaxLength: 50M
-          CLAMD_CONF_MaxFileSize: 100M
-          CLAMD_CONF_MaxScanSize: 100M
-          CLAMD_CONF_MaxThreads: 4
-          CLAMD_CONF_ReadTimeout: 300
-        options: >-
-          --health-cmd "clamdscan --version || exit 1"
-          --health-interval 30s
-          --health-timeout 10s
-          --health-retries 5
-          --health-start-period 180s
 
     steps:
       - name: Checkout repository
@@ -81,7 +55,7 @@ jobs:
       - name: Setup Supabase
         uses: supabase/setup-cli@v1
         with:
-          version: 1.178.1
+          version: latest
 
       - id: get_date
         name: Get date
@@ -95,40 +69,12 @@ jobs:
 
       - name: Install Poetry (Unix)
         run: |
-          # Extract Poetry version from backend/poetry.lock
-          HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-
-          if [ -n "$BASE_REF" ]; then
-            BASE_BRANCH=${BASE_REF/refs\/heads\//}
-            BASE_POETRY_VERSION=$((git show "origin/$BASE_BRANCH":./poetry.lock; true) | python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry -)
-            echo "Found Poetry version ${BASE_POETRY_VERSION} in backend/poetry.lock on ${BASE_REF}"
-            POETRY_VERSION=$(printf '%s\n' "$HEAD_POETRY_VERSION" "$BASE_POETRY_VERSION" | sort -V | tail -n1)
-          else
-            POETRY_VERSION=$HEAD_POETRY_VERSION
-          fi
-          echo "Using Poetry version ${POETRY_VERSION}"
-
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$POETRY_VERSION python3 -
+          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
-        env:
-          BASE_REF: ${{ github.base_ref || github.event.merge_group.base_ref }}
-
-      - name: Check poetry.lock
-        run: |
-          poetry lock
-
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Error: poetry.lock not up to date."
-            echo
-            git diff poetry.lock
-            exit 1
-          fi
 
       - name: Install Python dependencies
         run: poetry install
@@ -146,40 +92,10 @@ jobs:
         # outputs:
         # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
 
-      - name: Wait for ClamAV to be ready
-        run: |
-          echo "Waiting for ClamAV daemon to start..."
-          max_attempts=60
-          attempt=0
-          
-          until nc -z localhost 3310 || [ $attempt -eq $max_attempts ]; do
-            echo "ClamAV is unavailable - sleeping (attempt $((attempt+1))/$max_attempts)"
-            sleep 5
-            attempt=$((attempt+1))
-          done
-          
-          if [ $attempt -eq $max_attempts ]; then
-            echo "ClamAV failed to start after $((max_attempts*5)) seconds"
-            echo "Checking ClamAV service logs..."
-            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
-            exit 1
-          fi
-          
-          echo "ClamAV is ready!"
-          
-          # Verify ClamAV is responsive
-          echo "Testing ClamAV connection..."
-          timeout 10 bash -c 'echo "PING" | nc localhost 3310' || {
-            echo "ClamAV is not responding to PING"
-            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
-            exit 1
-          }
-
       - name: Run Database Migrations
         run: poetry run prisma migrate dev --name updates
         env:
           DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
-          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
 
       - id: lint
         name: Run Linter
@@ -188,21 +104,20 @@ jobs:
       - 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
+            poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG test
           else
-            poetry run pytest -s -vv
+            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 }}
-          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
           SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
           SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
-          JWT_VERIFY_KEY: ${{ steps.supabase.outputs.JWT_SECRET }}
-          REDIS_HOST: "localhost"
-          REDIS_PORT: "6379"
-          ENCRYPTION_KEY: "dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=" # DO NOT USE IN PRODUCTION!!
+          SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
+          REDIS_HOST: 'localhost'
+          REDIS_PORT: '6379'
+          REDIS_PASSWORD: 'testpassword'
 
     env:
       CI: true
@@ -210,13 +125,6 @@ jobs:
       RUN_ENV: local
       PORT: 8080
       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      # We know these are here, don't report this as a security vulnerability
-      # This is used as the default credential for the entire system's RabbitMQ instance
-      # If you want to replace this, you can do so by making our entire system generate
-      # new credentials for each local user and update the environment variables in
-      # the backend service, docker composes, and examples
-      RABBITMQ_DEFAULT_USER: "rabbitmq_user_default"
-      RABBITMQ_DEFAULT_PASS: "k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7"
 
       # - name: Upload coverage reports to Codecov
       #   uses: codecov/codecov-action@v4

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

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

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

@@ -10,7 +10,6 @@ on:
     paths:
       - ".github/workflows/platform-frontend-ci.yml"
       - "autogpt_platform/frontend/**"
-  merge_group:
 
 defaults:
   run:
@@ -18,118 +17,44 @@ defaults:
     working-directory: autogpt_platform/frontend
 
 jobs:
-  setup:
-    runs-on: ubuntu-latest
-    outputs:
-      cache-key: ${{ steps.cache-key.outputs.key }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Generate cache key
-        id: cache-key
-        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
-
-      - name: Cache dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ steps.cache-key.outputs.key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
   lint:
     runs-on: ubuntu-latest
-    needs: setup
 
     steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
+      - uses: actions/checkout@v4
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
           node-version: "21"
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
       - name: Install dependencies
-        run: pnpm install --frozen-lockfile
+        run: |
+          yarn install --frozen-lockfile
 
       - name: Run lint
-        run: pnpm lint
-
-  chromatic:
-    runs-on: ubuntu-latest
-    needs: setup
-    # Only run on dev branch pushes or PRs targeting dev
-    if: github.ref == 'refs/heads/dev' || github.base_ref == 'dev'
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Run Chromatic
-        uses: chromaui/action@latest
-        with:
-          projectToken: chpt_9e7c1a76478c9c8
-          onlyChanged: true
-          workingDir: autogpt_platform/frontend
-          token: ${{ secrets.GITHUB_TOKEN }}
-          exitOnceUploaded: true
+        run: |
+          yarn lint
 
   test:
-    runs-on: big-boi
-    needs: setup
-    strategy:
-      fail-fast: false
+    runs-on: ubuntu-latest
 
     steps:
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: false
+
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: false
+          dotnet: false
+          haskell: false
+          large-packages: true
+          docker-images: true
+          swap-storage: true
+
       - name: Checkout repository
         uses: actions/checkout@v4
         with:
@@ -140,96 +65,32 @@ jobs:
         with:
           node-version: "21"
 
-      - name: Enable corepack
-        run: corepack enable
-
       - name: Copy default supabase .env
         run: |
-          cp ../.env.default ../.env
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Cache Docker layers
-        uses: actions/cache@v4
-        with:
-          path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-buildx-frontend-test-
+          cp ../supabase/docker/.env.example ../.env
 
       - name: Run docker compose
         run: |
-          NEXT_PUBLIC_PW_TEST=true docker compose -f ../docker-compose.yml up -d
-        env:
-          DOCKER_BUILDKIT: 1
-          BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
-          BUILDX_CACHE_TO: type=local,dest=/tmp/.buildx-cache-new,mode=max
-
-      - name: Move cache
-        run: |
-          rm -rf /tmp/.buildx-cache
-          if [ -d "/tmp/.buildx-cache-new" ]; then
-            mv /tmp/.buildx-cache-new /tmp/.buildx-cache
-          fi
-
-      - name: Wait for services to be ready
-        run: |
-          echo "Waiting for rest_server to be ready..."
-          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
-
-      - name: Create E2E test data
-        run: |
-          echo "Creating E2E test data..."
-          # First try to run the script from inside the container
-          if docker compose -f ../docker-compose.yml exec -T rest_server test -f /app/autogpt_platform/backend/test/e2e_test_data.py; then
-            echo "✅ Found e2e_test_data.py in container, running it..."
-            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python backend/test/e2e_test_data.py" || {
-              echo "❌ E2E test data creation failed!"
-              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
-              exit 1
-            }
-          else
-            echo "⚠️ e2e_test_data.py not found in container, copying and running..."
-            # Copy the script into the container and run it
-            docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.yml ps -q rest_server):/tmp/e2e_test_data.py || {
-              echo "❌ Failed to copy script to container"
-              exit 1
-            }
-            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
-              echo "❌ E2E test data creation failed!"
-              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
-              exit 1
-            }
-          fi
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
+          docker compose -f ../docker-compose.yml up -d
 
       - name: Install dependencies
-        run: pnpm install --frozen-lockfile
+        run: |
+          yarn install --frozen-lockfile
 
-      - name: Install Browser 'chromium'
-        run: pnpm playwright install --with-deps chromium
+      - name: Setup Builder .env
+        run: |
+          cp .env.example .env
 
-      - name: Run Playwright tests
-        run: pnpm test:no-build
+      - name: Install Playwright Browsers
+        run: yarn playwright install --with-deps
 
-      - name: Upload Playwright artifacts
-        if: failure()
-        uses: actions/upload-artifact@v4
+      - name: Run tests
+        run: |
+          yarn test
+
+      - uses: actions/upload-artifact@v4
+        if: ${{ !cancelled() }}
         with:
           name: playwright-report
-          path: playwright-report
-
-      - name: Print Final Docker Compose logs
-        if: always()
-        run: docker compose -f ../docker-compose.yml logs
+          path: playwright-report/
+          retention-days: 30

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

@@ -1,132 +0,0 @@
-name: AutoGPT Platform - Frontend CI
-
-on:
-  push:
-    branches: [master, dev]
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  pull_request:
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  merge_group:
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/frontend
-
-jobs:
-  setup:
-    runs-on: ubuntu-latest
-    outputs:
-      cache-key: ${{ steps.cache-key.outputs.key }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Generate cache key
-        id: cache-key
-        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
-
-      - name: Cache dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ steps.cache-key.outputs.key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-  types:
-    runs-on: ubuntu-latest
-    needs: setup
-    strategy:
-      fail-fast: false
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "21"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Copy default supabase .env
-        run: |
-          cp ../.env.default ../.env
-
-      - name: Copy backend .env
-        run: |
-          cp ../backend/.env.default ../backend/.env
-
-      - name: Run docker compose
-        run: |
-          docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Setup .env
-        run: cp .env.default .env
-
-      - name: Wait for services to be ready
-        run: |
-          echo "Waiting for rest_server to be ready..."
-          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
-
-      - name: Generate API queries
-        run: pnpm generate:api:force
-
-      - name: Check for API schema changes
-        run: |
-          if ! git diff --exit-code src/app/api/openapi.json; then
-            echo "❌ API schema changes detected in src/app/api/openapi.json"
-            echo ""
-            echo "The openapi.json file has been modified after running 'pnpm generate:api-all'."
-            echo "This usually means changes have been made in the BE endpoints without updating the Frontend."
-            echo "The API schema is now out of sync with the Front-end queries."
-            echo ""
-            echo "To fix this:"
-            echo "1. Pull the backend 'docker compose pull && docker compose up -d --build --force-recreate'"
-            echo "2. Run 'pnpm generate:api' locally"
-            echo "3. Run 'pnpm types' locally"
-            echo "4. Fix any TypeScript errors that may have been introduced"
-            echo "5. Commit and push your changes"
-            echo ""
-            exit 1
-          else
-            echo "✅ No API schema changes detected"
-          fi
-
-      - name: Run Typescript checks
-        run: pnpm types

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

@@ -0,0 +1,125 @@
+name: AutoGPT Platform - Backend CI
+
+on:
+  push:
+    branches: [master, dev, ci-test*]
+    paths:
+      - ".github/workflows/platform-market-ci.yml"
+      - "autogpt_platform/market/**"
+  pull_request:
+    branches: [master, dev, release-*]
+    paths:
+      - ".github/workflows/platform-market-ci.yml"
+      - "autogpt_platform/market/**"
+
+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/market
+
+jobs:
+  test:
+    permissions:
+      contents: read
+    timeout-minutes: 30
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.10"]
+    runs-on: ubuntu-latest
+
+    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 }}-${{ hashFiles('autogpt_platform/market/poetry.lock') }}
+
+      - name: Install Poetry (Unix)
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+
+          if [ "${{ runner.os }}" = "macOS" ]; then
+            PATH="$HOME/.local/bin:$PATH"
+            echo "$HOME/.local/bin" >> $GITHUB_PATH
+          fi
+
+      - name: Install Python dependencies
+        run: poetry install
+
+      - name: Generate Prisma Client
+        run: poetry run prisma generate
+
+      - id: supabase
+        name: Start Supabase
+        working-directory: .
+        run: |
+          supabase init
+          supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
+          supabase status -o env | sed 's/="/=/; s/"$//' >> $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: ${{ steps.supabase.outputs.DB_URL }}
+
+      - id: lint
+        name: Run Linter
+        run: poetry run lint
+
+      # Tests comment out because they do not work with prisma mock, nor have they been updated since they were created
+      # - name: Run pytest with coverage
+      #   run: |
+      #     if [[ "${{ 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
+
+      # - name: Upload coverage reports to Codecov
+      #   uses: codecov/codecov-action@v4
+      #   with:
+      #     token: ${{ secrets.CODECOV_TOKEN }}
+      #     flags: backend,${{ runner.os }}

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

@@ -16,7 +16,7 @@ jobs:
           # operations-per-run: 5000
           stale-issue-message: >
             This issue has automatically been marked as _stale_ because it has not had
-            any activity in the last 170 days. You can _unstale_ it by commenting or
+            any activity in the last 50 days. You can _unstale_ it by commenting or
             removing the label. Otherwise, this issue will be closed in 10 days.
           stale-pr-message: >
             This pull request has automatically been marked as _stale_ because it has
@@ -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: 170
+          days-before-stale: 50
           days-before-close: 10
           # Do not touch meta issues:
           exempt-issue-labels: meta,fridge,project management

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

@@ -2,7 +2,6 @@ name: Repo - PR Status Checker
 on:
   pull_request:
     types: [opened, synchronize, reopened]
-  merge_group:
 
 jobs:
   status-check:

.github/workflows/scripts/check_actions_status.py

@@ -7,18 +7,13 @@ from typing import Dict, List, Tuple
 
 CHECK_INTERVAL = 30
 
-
 def get_environment_variables() -> Tuple[str, str, str, str, str]:
     """Retrieve and return necessary environment variables."""
     try:
         with open(os.environ["GITHUB_EVENT_PATH"]) as f:
             event = json.load(f)
 
-        # Handle both PR and merge group events
-        if "pull_request" in event:
-            sha = event["pull_request"]["head"]["sha"]
-        else:
-            sha = os.environ["GITHUB_SHA"]
+        sha = event["pull_request"]["head"]["sha"]
 
         return (
             os.environ["GITHUB_API_URL"],

.github/workflows/scripts/get_package_version_from_lockfile.py

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

.gitignore

@@ -5,8 +5,6 @@ classic/original_autogpt/*.json
 auto_gpt_workspace/*
 *.mpeg
 .env
-# Root .env files
-/.env
 azure.yaml
 .vscode
 .idea/*
@@ -123,6 +121,7 @@ celerybeat.pid
 
 # Environments
 .direnv/
+.env
 .venv
 env/
 venv*/
@@ -166,15 +165,9 @@ package-lock.json
 
 # Allow for locally private items
 # private
-pri*
+pri* 
 # ignore
 ig*
 .github_access_token
 LICENSE.rtf
 autogpt_platform/backend/settings.py
-/.auth
-/autogpt_platform/frontend/.auth
-
-*.ign.*
-.test-contents
-.claude/settings.local.json

.gitmodules

@@ -1,3 +1,6 @@
 [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

.pr_agent.toml

@@ -1,3 +1,6 @@
+[pr_reviewer]
+num_code_suggestions=0
+
 [pr_code_suggestions]
 commitable_code_suggestions=false
 num_code_suggestions=0

.pre-commit-config.yaml

@@ -9,7 +9,7 @@ repos:
       - id: check-merge-conflict
       - id: check-symlinks
       - id: debug-statements
-
+  
   - repo: https://github.com/Yelp/detect-secrets
     rev: v1.5.0
     hooks:
@@ -17,135 +17,41 @@ repos:
         name: Detect secrets
         description: Detects high entropy strings that are likely to be passwords.
         files: ^autogpt_platform/
-        stages: [pre-push]
-
-  - repo: local
-    # For proper type checking, all dependencies need to be up-to-date.
-    # It's also a good idea to check that poetry.lock is consistent with pyproject.toml.
-    hooks:
-      - id: poetry-install
-        name: Check & Install dependencies - AutoGPT Platform - Backend
-        alias: poetry-install-platform-backend
-        entry: poetry -C autogpt_platform/backend install
-        # include autogpt_libs source (since it's a path dependency)
-        files: ^autogpt_platform/(backend|autogpt_libs)/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - AutoGPT Platform - Libs
-        alias: poetry-install-platform-libs
-        entry: poetry -C autogpt_platform/autogpt_libs install
-        files: ^autogpt_platform/autogpt_libs/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - AutoGPT
-        alias: poetry-install-classic-autogpt
-        entry: poetry -C classic/original_autogpt install
-        # include forge source (since it's a path dependency)
-        files: ^classic/(original_autogpt|forge)/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - Forge
-        alias: poetry-install-classic-forge
-        entry: poetry -C classic/forge install
-        files: ^classic/forge/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: poetry-install
-        name: Check & Install dependencies - Classic - Benchmark
-        alias: poetry-install-classic-benchmark
-        entry: poetry -C classic/benchmark install
-        files: ^classic/benchmark/poetry\.lock$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  - repo: local
-    # For proper type checking, Prisma client must be up-to-date.
-    hooks:
-      - id: prisma-generate
-        name: Prisma Generate - AutoGPT Platform - Backend
-        alias: prisma-generate-platform-backend
-        entry: bash -c 'cd autogpt_platform/backend && poetry run prisma generate'
-        # include everything that triggers poetry install + the prisma schema
-        files: ^autogpt_platform/((backend|autogpt_libs)/poetry\.lock|backend/schema.prisma)$
-        types: [file]
-        language: system
-        pass_filenames: false
-
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.2
-    hooks:
-      - id: ruff
-        name: Lint (Ruff) - AutoGPT Platform - Backend
-        alias: ruff-lint-platform-backend
-        files: ^autogpt_platform/backend/
-        args: [--fix]
-
-      - id: ruff
-        name: Lint (Ruff) - AutoGPT Platform - Libs
-        alias: ruff-lint-platform-libs
-        files: ^autogpt_platform/autogpt_libs/
-        args: [--fix]
-
-      - id: ruff-format
-        name: Format (Ruff) - AutoGPT Platform - Libs
-        alias: ruff-lint-platform-libs
-        files: ^autogpt_platform/autogpt_libs/
+        stages: [push]
 
   - 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
-        name: Lint (isort) - AutoGPT Platform - Backend
-        alias: isort-platform-backend
-        entry: poetry -P autogpt_platform/backend run isort -p backend
-        files: ^autogpt_platform/backend/
-        types: [file, python]
-        language: system
-
-      - id: isort
-        name: Lint (isort) - Classic - AutoGPT
-        alias: isort-classic-autogpt
-        entry: poetry -P classic/original_autogpt run isort -p autogpt
+      - id: isort-autogpt
+        name: Lint (isort) - AutoGPT
+        entry: poetry -C classic/original_autogpt run isort
         files: ^classic/original_autogpt/
         types: [file, python]
         language: system
 
-      - id: isort
-        name: Lint (isort) - Classic - Forge
-        alias: isort-classic-forge
-        entry: poetry -P classic/forge run isort -p forge
+      - id: isort-forge
+        name: Lint (isort) - Forge
+        entry: poetry -C classic/forge run isort
         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
+      - id: isort-benchmark
+        name: Lint (isort) - Benchmark
+        entry: poetry -C classic/benchmark run isort
         files: ^classic/benchmark/
         types: [file, python]
         language: system
 
   - repo: https://github.com/psf/black
-    rev: 24.10.0
+    rev: 23.12.1
     # Black has sensible defaults, doesn't need package context, and ignores
     # everything in .gitignore, so it works fine without any config or arguments.
     hooks:
       - id: black
-        name: Format (Black)
+        name: Lint (Black)
+        language_version: python3.12
 
   - repo: https://github.com/PyCQA/flake8
     rev: 7.0.0
@@ -153,79 +59,53 @@ repos:
     # them separately.
     hooks:
       - id: flake8
-        name: Lint (Flake8) - Classic - AutoGPT
-        alias: flake8-classic-autogpt
+        name: Lint (Flake8) - AutoGPT
+        alias: flake8-autogpt
         files: ^classic/original_autogpt/(autogpt|scripts|tests)/
         args: [--config=classic/original_autogpt/.flake8]
 
       - id: flake8
-        name: Lint (Flake8) - Classic - Forge
-        alias: flake8-classic-forge
+        name: Lint (Flake8) - Forge
+        alias: flake8-forge
         files: ^classic/forge/(forge|tests)/
         args: [--config=classic/forge/.flake8]
 
       - id: flake8
-        name: Lint (Flake8) - Classic - Benchmark
-        alias: flake8-classic-benchmark
+        name: Lint (Flake8) - Benchmark
+        alias: flake8-benchmark
         files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
         args: [--config=classic/benchmark/.flake8]
 
-  - repo: local
-    hooks:
-      - id: prettier
-        name: Format (Prettier) - AutoGPT Platform - Frontend
-        alias: format-platform-frontend
-        entry: bash -c 'cd autogpt_platform/frontend && npx prettier --write $(echo "$@" | sed "s|autogpt_platform/frontend/||g")' --
-        files: ^autogpt_platform/frontend/
-        types: [file]
-        language: system
-
   - repo: local
     # To have watertight type checking, we check *all* the files in an affected
     # project. To trigger on poetry.lock we also reset the file `types` filter.
     hooks:
       - id: pyright
-        name: Typecheck - AutoGPT Platform - Backend
-        alias: pyright-platform-backend
-        entry: poetry -C autogpt_platform/backend run pyright
-        # include forge source (since it's a path dependency) but exclude *_test.py files:
-        files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - AutoGPT Platform - Libs
-        alias: pyright-platform-libs
-        entry: poetry -C autogpt_platform/autogpt_libs run pyright
-        files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
-        types: [file]
-        language: system
-        pass_filenames: false
-
-      - id: pyright
-        name: Typecheck - Classic - AutoGPT
-        alias: pyright-classic-autogpt
+        name: Typecheck - AutoGPT
+        alias: pyright-autogpt
         entry: poetry -C classic/original_autogpt run pyright
+        args: [-p, autogpt, autogpt]
         # include forge source (since it's a path dependency) but exclude *_test.py files:
-        files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
+        files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(classic/forge/.*(?<!_test)\.py|poetry\.lock)$)
         types: [file]
         language: system
         pass_filenames: false
 
       - id: pyright
-        name: Typecheck - Classic - Forge
-        alias: pyright-classic-forge
+        name: Typecheck - Forge
+        alias: pyright-forge
         entry: poetry -C classic/forge run pyright
-        files: ^classic/forge/(forge/|poetry\.lock$)
+        args: [-p, forge, forge]
+        files: ^classic/forge/(classic/forge/|poetry\.lock$)
         types: [file]
         language: system
         pass_filenames: false
 
       - id: pyright
-        name: Typecheck - Classic - Benchmark
-        alias: pyright-classic-benchmark
+        name: Typecheck - Benchmark
+        alias: pyright-benchmark
         entry: poetry -C classic/benchmark run pyright
+        args: [-p, benchmark, benchmark]
         files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
         types: [file]
         language: system
@@ -233,46 +113,24 @@ repos:
 
   - repo: local
     hooks:
-      - id: tsc
-        name: Typecheck - AutoGPT Platform - Frontend
-        entry: bash -c 'cd autogpt_platform/frontend && pnpm types'
-        files: ^autogpt_platform/frontend/
-        types: [file]
+      - id: pytest-autogpt
+        name: Run tests - AutoGPT (excl. slow tests)
+        entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
+        # include forge source (since it's a path dependency) but exclude *_test.py files:
+        files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(classic/forge/.*(?<!_test)\.py|poetry\.lock)$)
         language: system
         pass_filenames: false
 
-  # - repo: local
-  #   hooks:
-  #     - id: pytest
-  #       name: Run tests - AutoGPT Platform - Backend
-  #       alias: pytest-platform-backend
-  #       entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
-  #       # include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
-  #       files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
-  #       language: system
-  #       pass_filenames: false
+      - id: pytest-forge
+        name: Run tests - Forge (excl. slow tests)
+        entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
+        files: ^classic/forge/(classic/forge/|tests/|poetry\.lock$)
+        language: system
+        pass_filenames: false
 
-  #     - id: pytest
-  #       name: Run tests - Classic - AutoGPT (excl. slow tests)
-  #       alias: pytest-classic-autogpt
-  #       entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
-  #       # include forge source (since it's a path dependency) but exclude *_test.py files:
-  #       files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
-  #       language: system
-  #       pass_filenames: false
-
-  #     - id: pytest
-  #       name: Run tests - Classic - Forge (excl. slow tests)
-  #       alias: pytest-classic-forge
-  #       entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
-  #       files: ^classic/forge/(forge/|tests/|poetry\.lock$)
-  #       language: system
-  #       pass_filenames: false
-
-  #     - id: pytest
-  #       name: Run tests - Classic - Benchmark
-  #       alias: pytest-classic-benchmark
-  #       entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
-  #       files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
-  #       language: system
-  #       pass_filenames: false
+      - id: pytest-benchmark
+        name: Run tests - 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/launch.json

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

AGENTS.md

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

CONTRIBUTING.md

@@ -2,6 +2,9 @@
 If you are reading this, you are probably looking for the full **[contribution guide]**,
 which is part of our [wiki].
 
+Also check out our [🚀 Roadmap][roadmap] for information about our priorities and associated tasks.
+<!-- You can find our immediate priorities and their progress on our public [kanban board]. -->
+
 [contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
 [wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
 [roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971

LICENSE

@@ -1,197 +1,6 @@
-All portions of this repository are under one of two licenses. 
+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. 
 
-- Everything inside the autogpt_platform folder is under the Polyform Shield License.
-- Everything outside the autogpt_platform folder is under the MIT License. 
-
-More info:
-
-**Polyform Shield License:**
-Code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.
-Read more about this effort here: https://agpt.co/blog/introducing-the-autogpt-platform
-
-**MIT License:**
-All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes:
-- The Original, stand-alone AutoGPT Agent
-- Forge: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge
-- AG Benchmark: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark
-- AutoGPT Classic GUI: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend.
-
-We also publish additional work under the MIT Licence in other repositories, such as GravitasML (https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform, and our [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
-
-Both licences are available to read below:
-
-=====================================================
------------------------------------------------------
-=====================================================
-
-# PolyForm Shield License 1.0.0
-
-<https://polyformproject.org/licenses/shield/1.0.0>
-
-## Acceptance
-
-In order to get any license under these terms, you must agree
-to them as both strict obligations and conditions to all
-your licenses.
-
-## Copyright License
-
-The licensor grants you a copyright license for the
-software to do everything you might do with the software
-that would otherwise infringe the licensor's copyright
-in it for any permitted purpose.  However, you may
-only distribute the software according to [Distribution
-License](#distribution-license) and make changes or new works
-based on the software according to [Changes and New Works
-License](#changes-and-new-works-license).
-
-## Distribution License
-
-The licensor grants you an additional copyright license
-to distribute copies of the software.  Your license
-to distribute covers distributing the software with
-changes and new works permitted by [Changes and New Works
-License](#changes-and-new-works-license).
-
-## Notices
-
-You must ensure that anyone who gets a copy of any part of
-the software from you also gets a copy of these terms or the
-URL for them above, as well as copies of any plain-text lines
-beginning with `Required Notice:` that the licensor provided
-with the software.  For example:
-
-> Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
-
-## Changes and New Works License
-
-The licensor grants you an additional copyright license to
-make changes and new works based on the software for any
-permitted purpose.
-
-## Patent License
-
-The licensor grants you a patent license for the software that
-covers patent claims the licensor can license, or becomes able
-to license, that you would infringe by using the software.
-
-## Noncompete
-
-Any purpose is a permitted purpose, except for providing any
-product that competes with the software or any product the
-licensor or any of its affiliates provides using the software.
-
-## Competition
-
-Goods and services compete even when they provide functionality
-through different kinds of interfaces or for different technical
-platforms.  Applications can compete with services, libraries
-with plugins, frameworks with development tools, and so on,
-even if they're written in different programming languages
-or for different computer architectures.  Goods and services
-compete even when provided free of charge.  If you market a
-product as a practical substitute for the software or another
-product, it definitely competes.
-
-## New Products
-
-If you are using the software to provide a product that does
-not compete, but the licensor or any of its affiliates brings
-your product into competition by providing a new version of
-the software or another product using the software, you may
-continue using versions of the software available under these
-terms beforehand to provide your competing product, but not
-any later versions.
-
-## Discontinued Products
-
-You may begin using the software to compete with a product
-or service that the licensor or any of its affiliates has
-stopped providing, unless the licensor includes a plain-text
-line beginning with `Licensor Line of Business:` with the
-software that mentions that line of business.  For example:
-
-> Licensor Line of Business: YoyodyneCMS Content Management
-System (http://example.com/cms)
-
-## Sales of Business
-
-If the licensor or any of its affiliates sells a line of
-business developing the software or using the software
-to provide a product, the buyer can also enforce
-[Noncompete](#noncompete) for that product.
-
-## Fair Use
-
-You may have "fair use" rights for the software under the
-law. These terms do not limit them.
-
-## No Other Rights
-
-These terms do not allow you to sublicense or transfer any of
-your licenses to anyone else, or prevent the licensor from
-granting licenses to anyone else.  These terms do not imply
-any other licenses.
-
-## Patent Defense
-
-If you make any written claim that the software infringes or
-contributes to infringement of any patent, your patent license
-for the software granted under these terms ends immediately. If
-your company makes such a claim, your patent license ends
-immediately for work on behalf of your company.
-
-## Violations
-
-The first time you are notified in writing that you have
-violated any of these terms, or done anything with the software
-not covered by your licenses, your licenses can nonetheless
-continue if you come into full compliance with these terms,
-and take practical steps to correct past violations, within
-32 days of receiving notice.  Otherwise, all your licenses
-end immediately.
-
-## No Liability
-
-***As far as the law allows, the software comes as is, without
-any warranty or condition, and the licensor will not be liable
-to you for any damages arising out of these terms or the use
-or nature of the software, under any kind of legal claim.***
-
-## Definitions
-
-The **licensor** is the individual or entity offering these
-terms, and the **software** is the software the licensor makes
-available under these terms.
-
-A **product** can be a good or service, or a combination
-of them.
-
-**You** refers to the individual or entity agreeing to these
-terms.
-
-**Your company** is any legal entity, sole proprietorship,
-or other kind of organization that you work for, plus all
-its affiliates.
-
-**Affiliates** means the other organizations than an
-organization has control over, is under the control of, or is
-under common control with.
-
-**Control** means ownership of substantially all the assets of
-an entity, or the power to direct its management and policies
-by vote, contract, or otherwise.  Control can be direct or
-indirect.
-
-**Your licenses** are all the licenses granted to you for the
-software under these terms.
-
-**Use** means anything you do with the software requiring one
-of your licenses.
-
-=====================================================
------------------------------------------------------
-=====================================================
 
 MIT License
 

README.md

@@ -1,82 +1,24 @@
 # AutoGPT: Build, Deploy, and Run AI Agents
 
-[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt)  
+[![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)  
-
-<!-- Keep these links. Translations will automatically update with the README. -->
-[Deutsch](https://zdoc.app/de/Significant-Gravitas/AutoGPT) | 
-[Español](https://zdoc.app/es/Significant-Gravitas/AutoGPT) | 
-[français](https://zdoc.app/fr/Significant-Gravitas/AutoGPT) | 
-[日本語](https://zdoc.app/ja/Significant-Gravitas/AutoGPT) | 
-[한국어](https://zdoc.app/ko/Significant-Gravitas/AutoGPT) | 
-[Português](https://zdoc.app/pt/Significant-Gravitas/AutoGPT) | 
-[Русский](https://zdoc.app/ru/Significant-Gravitas/AutoGPT) | 
-[中文](https://zdoc.app/zh/Significant-Gravitas/AutoGPT)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
 **AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. 
 
 ## Hosting Options 
-   - Download to self-host (Free!)
-   - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)
+   - Download to self-host
+   - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta  
 
-## How to Self-Host the AutoGPT Platform
+## 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.
 
-### System Requirements
-
-Before proceeding with the installation, ensure your system meets the following requirements:
-
-#### Hardware Requirements
-- CPU: 4+ cores recommended
-- RAM: Minimum 8GB, 16GB recommended
-- Storage: At least 10GB of free space
-
-#### Software Requirements
-- Operating Systems:
-  - Linux (Ubuntu 20.04 or newer recommended)
-  - macOS (10.15 or newer)
-  - Windows 10/11 with WSL2
-- Required Software (with minimum versions):
-  - Docker Engine (20.10.0 or newer)
-  - Docker Compose (2.0.0 or newer)
-  - Git (2.30 or newer)
-  - Node.js (16.x or newer)
-  - npm (8.x or newer)
-  - VSCode (1.60 or newer) or any modern code editor
-
-#### Network Requirements
-- Stable internet connection
-- Access to required ports (will be configured in Docker)
-- Ability to make outbound HTTPS connections
-
-### Updated Setup Instructions:
-We've moved to a fully maintained and regularly updated documentation site.
-
-👉 [Follow the official self-hosting guide here](https://docs.agpt.co/platform/getting-started/)
-
+https://github.com/user-attachments/assets/d04273a5-b36a-4a37-818e-f631ce72d603
 
 This tutorial assumes you have Docker, VSCode, git and npm installed.
 
----
-
-#### ⚡ Quick Setup with One-Line Script (Recommended for Local Hosting)
-
-Skip the manual steps and get started in minutes using our automatic setup script.
-
-For macOS/Linux:
-```
-curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
-```
-
-For Windows (PowerShell):
-```
-powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
-```
-
-This will install dependencies, configure Docker, and launch your local instance — all in one go.
-
 ### 🧱 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:
@@ -93,7 +35,7 @@ The AutoGPT frontend is where users interact with our powerful AI automation pla
 
    **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.
+[Read this guide](https://docs.agpt.co/server/new_blocks/) to learn how to build your own custom blocks.
 
 ### 💽 AutoGPT Server
 
@@ -123,17 +65,7 @@ Here are two examples of what you can do 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.
 
 ---
-
-### **License Overview:**
-
-🛡️ **Polyform Shield License:**
-All code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.</br>_[Read more about this effort](https://agpt.co/blog/introducing-the-autogpt-platform)_
-
-🦉 **MIT License:**
-All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes the original stand-alone AutoGPT Agent, along with projects such as [Forge](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge), [agbenchmark](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) and the [AutoGPT Classic GUI](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend).</br>We also publish additional work under the MIT Licence in other repositories, such as [GravitasML](https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform. See also our MIT Licenced [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
-
----
-### Mission
+### 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.
@@ -146,6 +78,14 @@ Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI i
 &ensp;|&ensp;
 **🚀 [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.
@@ -208,7 +148,7 @@ Just clone the repo, install dependencies with `./run setup`, and you should be
 
 [![Join us on Discord](https://invidget.switchblade.xyz/autogpt)](https://discord.gg/autogpt)
 
-To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn't created an issue for the same topic.
+To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn’t created an issue for the same topic.
 
 ## 🤝 Sister projects
 

SECURITY.md

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

autogpt_platform/.env.default

@@ -1,123 +0,0 @@
-############
-# Secrets
-# YOU MUST CHANGE THESE BEFORE GOING INTO PRODUCTION
-############
-
-POSTGRES_PASSWORD=your-super-secret-and-long-postgres-password
-JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
-SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
-DASHBOARD_USERNAME=supabase
-DASHBOARD_PASSWORD=this_password_is_insecure_and_should_be_updated
-SECRET_KEY_BASE=UpNVntn3cDxHJpq99YMc1T1AQgQpc8kfYTuRgBiYa15BLrx8etQoXz3gZv1/u2oq
-VAULT_ENC_KEY=your-encryption-key-32-chars-min
-
-
-############
-# Database - You can change these to any PostgreSQL database that has logical replication enabled.
-############
-
-POSTGRES_HOST=db
-POSTGRES_DB=postgres
-POSTGRES_PORT=5432
-# default user is postgres
-
-
-############
-# Supavisor -- Database pooler
-############
-POOLER_PROXY_PORT_TRANSACTION=6543
-POOLER_DEFAULT_POOL_SIZE=20
-POOLER_MAX_CLIENT_CONN=100
-POOLER_TENANT_ID=your-tenant-id
-
-
-############
-# API Proxy - Configuration for the Kong Reverse proxy.
-############
-
-KONG_HTTP_PORT=8000
-KONG_HTTPS_PORT=8443
-
-
-############
-# API - Configuration for PostgREST.
-############
-
-PGRST_DB_SCHEMAS=public,storage,graphql_public
-
-
-############
-# Auth - Configuration for the GoTrue authentication server.
-############
-
-## General
-SITE_URL=http://localhost:3000
-ADDITIONAL_REDIRECT_URLS=
-JWT_EXPIRY=3600
-DISABLE_SIGNUP=false
-API_EXTERNAL_URL=http://localhost:8000
-
-## Mailer Config
-MAILER_URLPATHS_CONFIRMATION="/auth/v1/verify"
-MAILER_URLPATHS_INVITE="/auth/v1/verify"
-MAILER_URLPATHS_RECOVERY="/auth/v1/verify"
-MAILER_URLPATHS_EMAIL_CHANGE="/auth/v1/verify"
-
-## Email auth
-ENABLE_EMAIL_SIGNUP=true
-ENABLE_EMAIL_AUTOCONFIRM=false
-SMTP_ADMIN_EMAIL=admin@example.com
-SMTP_HOST=supabase-mail
-SMTP_PORT=2500
-SMTP_USER=fake_mail_user
-SMTP_PASS=fake_mail_password
-SMTP_SENDER_NAME=fake_sender
-ENABLE_ANONYMOUS_USERS=false
-
-## Phone auth
-ENABLE_PHONE_SIGNUP=true
-ENABLE_PHONE_AUTOCONFIRM=true
-
-
-############
-# Studio - Configuration for the Dashboard
-############
-
-STUDIO_DEFAULT_ORGANIZATION=Default Organization
-STUDIO_DEFAULT_PROJECT=Default Project
-
-STUDIO_PORT=3000
-# replace if you intend to use Studio outside of localhost
-SUPABASE_PUBLIC_URL=http://localhost:8000
-
-# Enable webp support
-IMGPROXY_ENABLE_WEBP_DETECTION=true
-
-# Add your OpenAI API key to enable SQL Editor Assistant
-OPENAI_API_KEY=
-
-
-############
-# Functions - Configuration for Functions
-############
-# NOTE: VERIFY_JWT applies to all functions. Per-function VERIFY_JWT is not supported yet.
-FUNCTIONS_VERIFY_JWT=false
-
-
-############
-# Logs - Configuration for Logflare
-# Please refer to https://supabase.com/docs/reference/self-hosting-analytics/introduction
-############
-
-LOGFLARE_LOGGER_BACKEND_API_KEY=your-super-secret-and-long-logflare-key
-
-# Change vector.toml sinks to reflect this change
-LOGFLARE_API_KEY=your-super-secret-and-long-logflare-key
-
-# Docker socket location - this value will differ depending on your OS
-DOCKER_SOCKET_LOCATION=/var/run/docker.sock
-
-# Google Cloud Project details
-GOOGLE_PROJECT_ID=GOOGLE_PROJECT_ID
-GOOGLE_PROJECT_NUMBER=GOOGLE_PROJECT_NUMBER

autogpt_platform/.gitignore

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

autogpt_platform/CLAUDE.md

@@ -1,242 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Repository Overview
-
-AutoGPT Platform is a monorepo containing:
-
-- **Backend** (`/backend`): Python FastAPI server with async support
-- **Frontend** (`/frontend`): Next.js React application
-- **Shared Libraries** (`/autogpt_libs`): Common Python utilities
-
-## Essential Commands
-
-### Backend Development
-
-```bash
-# Install dependencies
-cd backend && poetry install
-
-# Run database migrations
-poetry run prisma migrate dev
-
-# Start all services (database, redis, rabbitmq, clamav)
-docker compose up -d
-
-# Run the backend server
-poetry run serve
-
-# Run tests
-poetry run test
-
-# Run specific test
-poetry run pytest path/to/test_file.py::test_function_name
-
-# Run block tests (tests that validate all blocks work correctly)
-poetry run pytest backend/blocks/test/test_block.py -xvs
-
-# Run tests for a specific block (e.g., GetCurrentTimeBlock)
-poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[GetCurrentTimeBlock]' -xvs
-
-# Lint and format
-# prefer format if you want to just "fix" it and only get the errors that can't be autofixed
-poetry run format  # Black + isort
-poetry run lint    # ruff
-```
-
-More details can be found in TESTING.md
-
-#### Creating/Updating Snapshots
-
-When you first write a test or when the expected output changes:
-
-```bash
-poetry run pytest path/to/test.py --snapshot-update
-```
-
-⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
-
-### Frontend Development
-
-```bash
-# Install dependencies
-cd frontend && pnpm i
-
-# Start development server
-pnpm dev
-
-# Run E2E tests
-pnpm test
-
-# Run Storybook for component development
-pnpm storybook
-
-# Build production
-pnpm build
-
-# Type checking
-pnpm types
-```
-
-We have a components library in autogpt_platform/frontend/src/components/atoms that should be used when adding new pages and components. 
-
-
-## Architecture Overview
-
-### Backend Architecture
-
-- **API Layer**: FastAPI with REST and WebSocket endpoints
-- **Database**: PostgreSQL with Prisma ORM, includes pgvector for embeddings
-- **Queue System**: RabbitMQ for async task processing
-- **Execution Engine**: Separate executor service processes agent workflows
-- **Authentication**: JWT-based with Supabase integration
-- **Security**: Cache protection middleware prevents sensitive data caching in browsers/proxies
-
-### Frontend Architecture
-
-- **Framework**: Next.js App Router with React Server Components
-- **State Management**: React hooks + Supabase client for real-time updates
-- **Workflow Builder**: Visual graph editor using @xyflow/react
-- **UI Components**: Radix UI primitives with Tailwind CSS styling
-- **Feature Flags**: LaunchDarkly integration
-
-### Key Concepts
-
-1. **Agent Graphs**: Workflow definitions stored as JSON, executed by the backend
-2. **Blocks**: Reusable components in `/backend/blocks/` that perform specific tasks
-3. **Integrations**: OAuth and API connections stored per user
-4. **Store**: Marketplace for sharing agent templates
-5. **Virus Scanning**: ClamAV integration for file upload security
-
-### Testing Approach
-
-- Backend uses pytest with snapshot testing for API responses
-- Test files are colocated with source files (`*_test.py`)
-- Frontend uses Playwright for E2E tests
-- Component testing via Storybook
-
-### Database Schema
-
-Key models (defined in `/backend/schema.prisma`):
-
-- `User`: Authentication and profile data
-- `AgentGraph`: Workflow definitions with version control
-- `AgentGraphExecution`: Execution history and results
-- `AgentNode`: Individual nodes in a workflow
-- `StoreListing`: Marketplace listings for sharing agents
-
-### Environment Configuration
-
-#### Configuration Files
-
-- **Backend**: `/backend/.env.default` (defaults) → `/backend/.env` (user overrides)
-- **Frontend**: `/frontend/.env.default` (defaults) → `/frontend/.env` (user overrides)
-- **Platform**: `/.env.default` (Supabase/shared defaults) → `/.env` (user overrides)
-
-#### Docker Environment Loading Order
-
-1. `.env.default` files provide base configuration (tracked in git)
-2. `.env` files provide user-specific overrides (gitignored)
-3. Docker Compose `environment:` sections provide service-specific overrides
-4. Shell environment variables have highest precedence
-
-#### Key Points
-
-- All services use hardcoded defaults in docker-compose files (no `${VARIABLE}` substitutions)
-- The `env_file` directive loads variables INTO containers at runtime
-- Backend/Frontend services use YAML anchors for consistent configuration
-- Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
-
-### Common Development Tasks
-
-**Adding a new block:**
-
-Follow the comprehensive [Block SDK Guide](../../../docs/content/platform/block-sdk-guide.md) which covers:
-- Provider configuration with `ProviderBuilder`
-- Block schema definition
-- Authentication (API keys, OAuth, webhooks)
-- Testing and validation
-- File organization
-
-Quick steps:
-1. Create new file in `/backend/backend/blocks/`
-2. Configure provider using `ProviderBuilder` in `_config.py`
-3. Inherit from `Block` base class
-4. Define input/output schemas using `BlockSchema`
-5. Implement async `run` method
-6. Generate unique block ID using `uuid.uuid4()`
-7. Test with `poetry run pytest backend/blocks/test/test_block.py`
-
-Note: when making many new blocks analyze the interfaces for each of these blocks and picture if they would go well together in a graph based editor or would they struggle to connect productively?
-ex: do the inputs and outputs tie well together?
-
-**Modifying the API:**
-
-1. Update route in `/backend/backend/server/routers/`
-2. Add/update Pydantic models in same directory
-3. Write tests alongside the route file
-4. Run `poetry run test` to verify
-
-**Frontend feature development:**
-
-1. Components go in `/frontend/src/components/`
-2. Use existing UI components from `/frontend/src/components/ui/`
-3. Add Storybook stories for new components
-4. Test with Playwright if user-facing
-
-### Security Implementation
-
-**Cache Protection Middleware:**
-
-- Located in `/backend/backend/server/middleware/security.py`
-- Default behavior: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
-- Uses an allow list approach - only explicitly permitted paths can be cached
-- Cacheable paths include: static assets (`/static/*`, `/_next/static/*`), health checks, public store pages, documentation
-- Prevents sensitive data (auth tokens, API keys, user data) from being cached by browsers/proxies
-- To allow caching for a new endpoint, add it to `CACHEABLE_PATHS` in the middleware
-- Applied to both main API server and external API applications
-
-### Creating Pull Requests
-
-- Create the PR aginst the `dev` branch of the repository.
-- Ensure the branch name is descriptive (e.g., `feature/add-new-block`)/
-- Use conventional commit messages (see below)/
-- Fill out the .github/PULL_REQUEST_TEMPLATE.md template as the PR description/
-- Run the github pre-commit hooks to ensure code quality.
-
-### Reviewing/Revising Pull Requests
-
-- When the user runs /pr-comments or tries to fetch them, also run gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews to get the reviews
-- Use gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews/[review_id]/comments to get the review contents
-- Use gh api /repos/Significant-Gravitas/AutoGPT/issues/9924/comments to get the pr specific comments
-
-### Conventional Commits
-
-Use this format for commit messages and Pull Request titles:
-
-**Conventional Commit Types:**
-
-- `feat`: Introduces a new feature to the codebase
-- `fix`: Patches a bug in the codebase
-- `refactor`: Code change that neither fixes a bug nor adds a feature; also applies to removing features
-- `ci`: Changes to CI configuration
-- `docs`: Documentation-only changes
-- `dx`: Improvements to the developer experience
-
-**Recommended Base Scopes:**
-
-- `platform`: Changes affecting both frontend and backend
-- `frontend`
-- `backend`
-- `infra`
-- `blocks`: Modifications/additions of individual blocks
-
-**Subscope Examples:**
-
-- `backend/executor`
-- `backend/db`
-- `frontend/builder` (includes changes to the block UI component)
-- `infra/prod`
-
-Use these scopes and subscopes for clarity and consistency in commit messages.

autogpt_platform/Makefile

@@ -1,47 +0,0 @@
-.PHONY: start-core stop-core logs-core format lint migrate run-backend run-frontend
-
-# Run just Supabase + Redis + RabbitMQ
-start-core:
-	docker compose up -d deps
-
-# Stop core services
-stop-core:
-	docker compose stop deps
-
-# View logs for core services
-logs-core:
-	docker compose logs -f deps
-
-# Run formatting and linting for backend and frontend
-format:
-	cd backend && poetry run format
-	cd frontend && pnpm format
-	cd frontend && pnpm lint
-
-init-env:
-	cp -n .env.default .env || true
-	cd backend && cp -n .env.default .env || true
-	cd frontend && cp -n .env.default .env || true
-
-
-# Run migrations for backend
-migrate:
-	cd backend && poetry run prisma migrate deploy
-	cd backend && poetry run prisma generate
-
-run-backend:
-	cd backend && poetry run app
-
-run-frontend:
-	cd frontend && pnpm dev
-
-help:
-	@echo "Usage: make <target>"
-	@echo "Targets:"
-	@echo "  start-core - Start just the core services (Supabase, Redis, RabbitMQ) in background"
-	@echo "  stop-core - Stop the core services"
-	@echo "  logs-core - Tail the logs for core services"
-	@echo "  format - Format & lint backend (Python) and frontend (TypeScript) code"
-	@echo "  migrate - Run backend database migrations"
-	@echo "  run-backend - Run the backend FastAPI server"
-	@echo "  run-frontend - Run the frontend Next.js development server"

autogpt_platform/README.md

@@ -8,66 +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 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:
-
    ```
-   cp .env.default .env
+   git submodule update --init --recursive
    ```
-
-   This command will copy the `.env.default` file to `.env`. You can modify the `.env` file to add your own environment variables.
+   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.
 
-4. After all the services are in ready state, open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
+5. Navigate to `frontend` within the `autogpt_platform` directory:
+   ```
+   cd frontend
+   ```
+   You will need to run your frontend application separately on your local machine.
 
-### Running Just Core services
+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.
 
-You can now run the following to enable just the core services.
+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
+   ```
 
-```
-# For help
-make help
-
-# Run just Supabase + Redis + RabbitMQ
-make start-core
-
-# Stop core services
-make stop-core
-
-# View logs from core services 
-make logs-core
-
-# Run formatting and linting for backend and frontend
-make format
-
-# Run migrations for backend database
-make migrate
-
-# Run backend server
-make run-backend
-
-# Run frontend development server
-make run-frontend
-
-```
+8. Open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
 
 ### Docker Compose Commands
 
@@ -80,52 +74,43 @@ Here are some useful Docker Compose commands for managing your AutoGPT Platform:
 - `docker compose down`: Stop and remove containers, networks, and volumes.
 - `docker compose watch`: Watch for changes in your services and automatically update them.
 
+
 ### Sample Scenarios
 
 Here are some common scenarios where you might use multiple Docker Compose commands:
 
 1. Updating and restarting a specific service:
-
    ```
    docker compose build api_srv
    docker compose up -d --no-deps api_srv
    ```
-
    This rebuilds the `api_srv` service and restarts it without affecting other services.
 
 2. Viewing logs for troubleshooting:
-
    ```
    docker compose logs -f api_srv ws_srv
    ```
-
    This shows and follows the logs for both `api_srv` and `ws_srv` services.
 
 3. Scaling a service for increased load:
-
    ```
    docker compose up -d --scale executor=3
    ```
-
    This scales the `executor` service to 3 instances to handle increased load.
 
 4. Stopping the entire system for maintenance:
-
    ```
    docker compose stop
    docker compose rm -f
    docker compose pull
    docker compose up -d
    ```
-
    This stops all services, removes containers, pulls the latest images, and restarts the system.
 
 5. Developing with live updates:
-
    ```
    docker compose watch
    ```
-
    This watches for changes in your code and automatically updates the relevant services.
 
 6. Checking the status of services:
@@ -136,6 +121,7 @@ Here are some common scenarios where you might use multiple Docker Compose comma
 
 These scenarios demonstrate how to use Docker Compose commands in combination to manage your AutoGPT Platform effectively.
 
+
 ### Persisting Data
 
 To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml` file to add volumes. Here's how:
@@ -163,28 +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.
-
-### API Client Generation
-
-The platform includes scripts for generating and managing the API client:
-
-- `pnpm fetch:openapi`: Fetches the OpenAPI specification from the backend service (requires backend to be running on port 8006)
-- `pnpm generate:api-client`: Generates the TypeScript API client from the OpenAPI specification using Orval
-- `pnpm generate:api`: Runs both fetch and generate commands in sequence
-
-#### Manual API Client Updates
-
-If you need to update the API client after making changes to the backend API:
-
-1. Ensure the backend services are running:
-
-   ```
-   docker compose up -d
-   ```
-
-2. Generate the updated API client:
-   ```
-   pnpm generate:api
-   ```
-
-This will fetch the latest OpenAPI specification and regenerate the TypeScript client code.

autogpt_platform/autogpt_libs/README.md

@@ -1,3 +1,3 @@
 # AutoGPT Libs
 
-This is a new project to store shared functionality across different services in the AutoGPT Platform (e.g. authentication)
+This is a new project to store shared functionality across different services in NextGen AutoGPT (e.g. authentication)

autogpt_platform/autogpt_libs/autogpt_libs/api_key/keysmith.py

@@ -1,78 +0,0 @@
-import hashlib
-import secrets
-from typing import NamedTuple
-
-from cryptography.hazmat.primitives.kdf.scrypt import Scrypt
-
-
-class APIKeyContainer(NamedTuple):
-    """Container for API key parts."""
-
-    key: str
-    head: str
-    tail: str
-    hash: str
-    salt: str
-
-
-class APIKeySmith:
-    PREFIX: str = "agpt_"
-    HEAD_LENGTH: int = 8
-    TAIL_LENGTH: int = 8
-
-    def generate_key(self) -> APIKeyContainer:
-        """Generate a new API key with secure hashing."""
-        raw_key = f"{self.PREFIX}{secrets.token_urlsafe(32)}"
-        hash, salt = self.hash_key(raw_key)
-
-        return APIKeyContainer(
-            key=raw_key,
-            head=raw_key[: self.HEAD_LENGTH],
-            tail=raw_key[-self.TAIL_LENGTH :],
-            hash=hash,
-            salt=salt,
-        )
-
-    def verify_key(
-        self, provided_key: str, known_hash: str, known_salt: str | None = None
-    ) -> bool:
-        """
-        Verify an API key against a known hash (+ salt).
-        Supports verifying both legacy SHA256 and secure Scrypt hashes.
-        """
-        if not provided_key.startswith(self.PREFIX):
-            return False
-
-        # Handle legacy SHA256 hashes (migration support)
-        if known_salt is None:
-            legacy_hash = hashlib.sha256(provided_key.encode()).hexdigest()
-            return secrets.compare_digest(legacy_hash, known_hash)
-
-        try:
-            salt_bytes = bytes.fromhex(known_salt)
-            provided_hash = self._hash_key_with_salt(provided_key, salt_bytes)
-            return secrets.compare_digest(provided_hash, known_hash)
-        except (ValueError, TypeError):
-            return False
-
-    def hash_key(self, raw_key: str) -> tuple[str, str]:
-        """Migrate a legacy hash to secure hash format."""
-        salt = self._generate_salt()
-        hash = self._hash_key_with_salt(raw_key, salt)
-        return hash, salt.hex()
-
-    def _generate_salt(self) -> bytes:
-        """Generate a random salt for hashing."""
-        return secrets.token_bytes(32)
-
-    def _hash_key_with_salt(self, raw_key: str, salt: bytes) -> str:
-        """Hash API key using Scrypt with salt."""
-        kdf = Scrypt(
-            length=32,
-            salt=salt,
-            n=2**14,  # CPU/memory cost parameter
-            r=8,  # Block size parameter
-            p=1,  # Parallelization parameter
-        )
-        key_hash = kdf.derive(raw_key.encode())
-        return key_hash.hex()

autogpt_platform/autogpt_libs/autogpt_libs/api_key/test_keysmith.py

@@ -1,79 +0,0 @@
-import hashlib
-
-from autogpt_libs.api_key.keysmith import APIKeySmith
-
-
-def test_generate_api_key():
-    keysmith = APIKeySmith()
-    key = keysmith.generate_key()
-
-    assert key.key.startswith(keysmith.PREFIX)
-    assert key.head == key.key[: keysmith.HEAD_LENGTH]
-    assert key.tail == key.key[-keysmith.TAIL_LENGTH :]
-    assert len(key.hash) == 64  # 32 bytes hex encoded
-    assert len(key.salt) == 64  # 32 bytes hex encoded
-
-
-def test_verify_new_secure_key():
-    keysmith = APIKeySmith()
-    key = keysmith.generate_key()
-
-    # Test correct key validates
-    assert keysmith.verify_key(key.key, key.hash, key.salt) is True
-
-    # Test wrong key fails
-    wrong_key = f"{keysmith.PREFIX}wrongkey123"
-    assert keysmith.verify_key(wrong_key, key.hash, key.salt) is False
-
-
-def test_verify_legacy_key():
-    keysmith = APIKeySmith()
-    legacy_key = f"{keysmith.PREFIX}legacykey123"
-    legacy_hash = hashlib.sha256(legacy_key.encode()).hexdigest()
-
-    # Test legacy key validates without salt
-    assert keysmith.verify_key(legacy_key, legacy_hash) is True
-
-    # Test wrong legacy key fails
-    wrong_key = f"{keysmith.PREFIX}wronglegacy"
-    assert keysmith.verify_key(wrong_key, legacy_hash) is False
-
-
-def test_rehash_existing_key():
-    keysmith = APIKeySmith()
-    legacy_key = f"{keysmith.PREFIX}migratekey123"
-
-    # Migrate the legacy key
-    new_hash, new_salt = keysmith.hash_key(legacy_key)
-
-    # Verify migrated key works
-    assert keysmith.verify_key(legacy_key, new_hash, new_salt) is True
-
-    # Verify different key fails with migrated hash
-    wrong_key = f"{keysmith.PREFIX}wrongkey"
-    assert keysmith.verify_key(wrong_key, new_hash, new_salt) is False
-
-
-def test_invalid_key_prefix():
-    keysmith = APIKeySmith()
-    key = keysmith.generate_key()
-
-    # Test key without proper prefix fails
-    invalid_key = "invalid_prefix_key"
-    assert keysmith.verify_key(invalid_key, key.hash, key.salt) is False
-
-
-def test_secure_hash_requires_salt():
-    keysmith = APIKeySmith()
-    key = keysmith.generate_key()
-
-    # Secure hash without salt should fail
-    assert keysmith.verify_key(key.key, key.hash) is False
-
-
-def test_invalid_salt_format():
-    keysmith = APIKeySmith()
-    key = keysmith.generate_key()
-
-    # Invalid salt format should fail gracefully
-    assert keysmith.verify_key(key.key, key.hash, "invalid_hex") is False

autogpt_platform/autogpt_libs/autogpt_libs/auth/__init__.py

@@ -1,13 +1,14 @@
-from .config import verify_settings
-from .dependencies import get_user_id, requires_admin_user, requires_user
-from .helpers import add_auth_responses_to_openapi
+from .config import Settings
+from .depends import requires_admin_user, requires_user
+from .jwt_utils import parse_jwt_token
+from .middleware import auth_middleware
 from .models import User
 
 __all__ = [
-    "verify_settings",
-    "get_user_id",
-    "requires_admin_user",
+    "Settings",
+    "parse_jwt_token",
     "requires_user",
-    "add_auth_responses_to_openapi",
+    "requires_admin_user",
+    "auth_middleware",
     "User",
 ]

autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py

@@ -1,90 +1,18 @@
-import logging
 import os
 
-from jwt.algorithms import get_default_algorithms, has_crypto
+from dotenv import load_dotenv
 
-logger = logging.getLogger(__name__)
-
-
-class AuthConfigError(ValueError):
-    """Raised when authentication configuration is invalid."""
-
-    pass
-
-
-ALGO_RECOMMENDATION = (
-    "We highly recommend using an asymmetric algorithm such as ES256, "
-    "because when leaked, a shared secret would allow anyone to "
-    "forge valid tokens and impersonate users. "
-    "More info: https://supabase.com/docs/guides/auth/signing-keys#choosing-the-right-signing-algorithm"  # noqa
-)
+load_dotenv()
 
 
 class Settings:
-    def __init__(self):
-        self.JWT_VERIFY_KEY: str = os.getenv(
-            "JWT_VERIFY_KEY", os.getenv("SUPABASE_JWT_SECRET", "")
-        ).strip()
-        self.JWT_ALGORITHM: str = os.getenv("JWT_SIGN_ALGORITHM", "HS256").strip()
+    JWT_SECRET_KEY: str = os.getenv("SUPABASE_JWT_SECRET", "")
+    ENABLE_AUTH: bool = os.getenv("ENABLE_AUTH", "false").lower() == "true"
+    JWT_ALGORITHM: str = "HS256"
 
-        self.validate()
-
-    def validate(self):
-        if not self.JWT_VERIFY_KEY:
-            raise AuthConfigError(
-                "JWT_VERIFY_KEY must be set. "
-                "An empty JWT secret would allow anyone to forge valid tokens."
-            )
-
-        if len(self.JWT_VERIFY_KEY) < 32:
-            logger.warning(
-                "⚠️ JWT_VERIFY_KEY appears weak (less than 32 characters). "
-                "Consider using a longer, cryptographically secure secret."
-            )
-
-        supported_algorithms = get_default_algorithms().keys()
-
-        if not has_crypto:
-            logger.warning(
-                "⚠️ Asymmetric JWT verification is not available "
-                "because the 'cryptography' package is not installed. "
-                + ALGO_RECOMMENDATION
-            )
-
-        if (
-            self.JWT_ALGORITHM not in supported_algorithms
-            or self.JWT_ALGORITHM == "none"
-        ):
-            raise AuthConfigError(
-                f"Invalid JWT_SIGN_ALGORITHM: '{self.JWT_ALGORITHM}'. "
-                "Supported algorithms are listed on "
-                "https://pyjwt.readthedocs.io/en/stable/algorithms.html"
-            )
-
-        if self.JWT_ALGORITHM.startswith("HS"):
-            logger.warning(
-                f"⚠️ JWT_SIGN_ALGORITHM is set to '{self.JWT_ALGORITHM}', "
-                "a symmetric shared-key signature algorithm. " + ALGO_RECOMMENDATION
-            )
+    @property
+    def is_configured(self) -> bool:
+        return bool(self.JWT_SECRET_KEY)
 
 
-_settings: Settings = None  # type: ignore
-
-
-def get_settings() -> Settings:
-    global _settings
-
-    if not _settings:
-        _settings = Settings()
-
-    return _settings
-
-
-def verify_settings() -> None:
-    global _settings
-
-    if not _settings:
-        _settings = Settings()  # calls validation indirectly
-        return
-
-    _settings.validate()
+settings = Settings()

autogpt_platform/autogpt_libs/autogpt_libs/auth/config_test.py

@@ -1,306 +0,0 @@
-"""
-Comprehensive tests for auth configuration to ensure 100% line and branch coverage.
-These tests verify critical security checks preventing JWT token forgery.
-"""
-
-import logging
-import os
-
-import pytest
-from pytest_mock import MockerFixture
-
-from autogpt_libs.auth.config import AuthConfigError, Settings
-
-
-def test_environment_variable_precedence(mocker: MockerFixture):
-    """Test that environment variables take precedence over defaults."""
-    secret = "environment-secret-key-with-proper-length-123456"
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == secret
-
-
-def test_environment_variable_backwards_compatible(mocker: MockerFixture):
-    """Test that SUPABASE_JWT_SECRET is read if JWT_VERIFY_KEY is not set."""
-    secret = "environment-secret-key-with-proper-length-123456"
-    mocker.patch.dict(os.environ, {"SUPABASE_JWT_SECRET": secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == secret
-
-
-def test_auth_config_error_inheritance():
-    """Test that AuthConfigError is properly defined as an Exception."""
-    assert issubclass(AuthConfigError, Exception)
-    error = AuthConfigError("test message")
-    assert str(error) == "test message"
-
-
-def test_settings_static_after_creation(mocker: MockerFixture):
-    """Test that settings maintain their values after creation."""
-    secret = "immutable-secret-key-with-proper-length-12345"
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret}, clear=True)
-
-    settings = Settings()
-    original_secret = settings.JWT_VERIFY_KEY
-
-    # Changing environment after creation shouldn't affect settings
-    os.environ["JWT_VERIFY_KEY"] = "different-secret"
-
-    assert settings.JWT_VERIFY_KEY == original_secret
-
-
-def test_settings_load_with_valid_secret(mocker: MockerFixture):
-    """Test auth enabled with a valid JWT secret."""
-    valid_secret = "a" * 32  # 32 character secret
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": valid_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == valid_secret
-
-
-def test_settings_load_with_strong_secret(mocker: MockerFixture):
-    """Test auth enabled with a cryptographically strong secret."""
-    strong_secret = "super-secret-jwt-token-with-at-least-32-characters-long"
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": strong_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == strong_secret
-    assert len(settings.JWT_VERIFY_KEY) >= 32
-
-
-def test_secret_empty_raises_error(mocker: MockerFixture):
-    """Test that auth enabled with empty secret raises AuthConfigError."""
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": ""}, clear=True)
-
-    with pytest.raises(Exception) as exc_info:
-        Settings()
-    assert "JWT_VERIFY_KEY" in str(exc_info.value)
-
-
-def test_secret_missing_raises_error(mocker: MockerFixture):
-    """Test that auth enabled without secret env var raises AuthConfigError."""
-    mocker.patch.dict(os.environ, {}, clear=True)
-
-    with pytest.raises(Exception) as exc_info:
-        Settings()
-    assert "JWT_VERIFY_KEY" in str(exc_info.value)
-
-
-@pytest.mark.parametrize("secret", [" ", "  ", "\t", "\n", " \t\n "])
-def test_secret_only_whitespace_raises_error(mocker: MockerFixture, secret: str):
-    """Test that auth enabled with whitespace-only secret raises error."""
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret}, clear=True)
-
-    with pytest.raises(ValueError):
-        Settings()
-
-
-def test_secret_weak_logs_warning(
-    mocker: MockerFixture, caplog: pytest.LogCaptureFixture
-):
-    """Test that weak JWT secret triggers warning log."""
-    weak_secret = "short"  # Less than 32 characters
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": weak_secret}, clear=True)
-
-    with caplog.at_level(logging.WARNING):
-        settings = Settings()
-        assert settings.JWT_VERIFY_KEY == weak_secret
-        assert "key appears weak" in caplog.text.lower()
-        assert "less than 32 characters" in caplog.text
-
-
-def test_secret_31_char_logs_warning(
-    mocker: MockerFixture, caplog: pytest.LogCaptureFixture
-):
-    """Test that 31-character secret triggers warning (boundary test)."""
-    secret_31 = "a" * 31  # Exactly 31 characters
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret_31}, clear=True)
-
-    with caplog.at_level(logging.WARNING):
-        settings = Settings()
-        assert len(settings.JWT_VERIFY_KEY) == 31
-        assert "key appears weak" in caplog.text.lower()
-
-
-def test_secret_32_char_no_warning(
-    mocker: MockerFixture, caplog: pytest.LogCaptureFixture
-):
-    """Test that 32-character secret does not trigger warning (boundary test)."""
-    secret_32 = "a" * 32  # Exactly 32 characters
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret_32}, clear=True)
-
-    with caplog.at_level(logging.WARNING):
-        settings = Settings()
-        assert len(settings.JWT_VERIFY_KEY) == 32
-        assert "JWT secret appears weak" not in caplog.text
-
-
-def test_secret_whitespace_stripped(mocker: MockerFixture):
-    """Test that JWT secret whitespace is stripped."""
-    secret = "a" * 32
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": f"  {secret}  "}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == secret
-
-
-def test_secret_with_special_characters(mocker: MockerFixture):
-    """Test JWT secret with special characters."""
-    special_secret = "!@#$%^&*()_+-=[]{}|;:,.<>?`~" + "a" * 10  # 40 chars total
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": special_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == special_secret
-
-
-def test_secret_with_unicode(mocker: MockerFixture):
-    """Test JWT secret with unicode characters."""
-    unicode_secret = "秘密🔐キー" + "a" * 25  # Ensure >32 bytes
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": unicode_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == unicode_secret
-
-
-def test_secret_very_long(mocker: MockerFixture):
-    """Test JWT secret with excessive length."""
-    long_secret = "a" * 1000  # 1000 character secret
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": long_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == long_secret
-    assert len(settings.JWT_VERIFY_KEY) == 1000
-
-
-def test_secret_with_newline(mocker: MockerFixture):
-    """Test JWT secret containing newlines."""
-    multiline_secret = "secret\nwith\nnewlines" + "a" * 20
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": multiline_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == multiline_secret
-
-
-def test_secret_base64_encoded(mocker: MockerFixture):
-    """Test JWT secret that looks like base64."""
-    base64_secret = "dGhpc19pc19hX3NlY3JldF9rZXlfd2l0aF9wcm9wZXJfbGVuZ3Ro"
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": base64_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == base64_secret
-
-
-def test_secret_numeric_only(mocker: MockerFixture):
-    """Test JWT secret with only numbers."""
-    numeric_secret = "1234567890" * 4  # 40 character numeric secret
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": numeric_secret}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_VERIFY_KEY == numeric_secret
-
-
-def test_algorithm_default_hs256(mocker: MockerFixture):
-    """Test that JWT algorithm defaults to HS256."""
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": "a" * 32}, clear=True)
-
-    settings = Settings()
-    assert settings.JWT_ALGORITHM == "HS256"
-
-
-def test_algorithm_whitespace_stripped(mocker: MockerFixture):
-    """Test that JWT algorithm whitespace is stripped."""
-    secret = "a" * 32
-    mocker.patch.dict(
-        os.environ,
-        {"JWT_VERIFY_KEY": secret, "JWT_SIGN_ALGORITHM": "  HS256  "},
-        clear=True,
-    )
-
-    settings = Settings()
-    assert settings.JWT_ALGORITHM == "HS256"
-
-
-def test_no_crypto_warning(mocker: MockerFixture, caplog: pytest.LogCaptureFixture):
-    """Test warning when crypto package is not available."""
-    secret = "a" * 32
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": secret}, clear=True)
-
-    # Mock has_crypto to return False
-    mocker.patch("autogpt_libs.auth.config.has_crypto", False)
-
-    with caplog.at_level(logging.WARNING):
-        Settings()
-        assert "Asymmetric JWT verification is not available" in caplog.text
-        assert "cryptography" in caplog.text
-
-
-def test_algorithm_invalid_raises_error(mocker: MockerFixture):
-    """Test that invalid JWT algorithm raises AuthConfigError."""
-    secret = "a" * 32
-    mocker.patch.dict(
-        os.environ,
-        {"JWT_VERIFY_KEY": secret, "JWT_SIGN_ALGORITHM": "INVALID_ALG"},
-        clear=True,
-    )
-
-    with pytest.raises(AuthConfigError) as exc_info:
-        Settings()
-    assert "Invalid JWT_SIGN_ALGORITHM" in str(exc_info.value)
-    assert "INVALID_ALG" in str(exc_info.value)
-
-
-def test_algorithm_none_raises_error(mocker: MockerFixture):
-    """Test that 'none' algorithm raises AuthConfigError."""
-    secret = "a" * 32
-    mocker.patch.dict(
-        os.environ,
-        {"JWT_VERIFY_KEY": secret, "JWT_SIGN_ALGORITHM": "none"},
-        clear=True,
-    )
-
-    with pytest.raises(AuthConfigError) as exc_info:
-        Settings()
-    assert "Invalid JWT_SIGN_ALGORITHM" in str(exc_info.value)
-
-
-@pytest.mark.parametrize("algorithm", ["HS256", "HS384", "HS512"])
-def test_algorithm_symmetric_warning(
-    mocker: MockerFixture, caplog: pytest.LogCaptureFixture, algorithm: str
-):
-    """Test warning for symmetric algorithms (HS256, HS384, HS512)."""
-    secret = "a" * 32
-    mocker.patch.dict(
-        os.environ,
-        {"JWT_VERIFY_KEY": secret, "JWT_SIGN_ALGORITHM": algorithm},
-        clear=True,
-    )
-
-    with caplog.at_level(logging.WARNING):
-        settings = Settings()
-        assert algorithm in caplog.text
-        assert "symmetric shared-key signature algorithm" in caplog.text
-        assert settings.JWT_ALGORITHM == algorithm
-
-
-@pytest.mark.parametrize(
-    "algorithm",
-    ["ES256", "ES384", "ES512", "RS256", "RS384", "RS512", "PS256", "PS384", "PS512"],
-)
-def test_algorithm_asymmetric_no_warning(
-    mocker: MockerFixture, caplog: pytest.LogCaptureFixture, algorithm: str
-):
-    """Test that asymmetric algorithms do not trigger warning."""
-    secret = "a" * 32
-    mocker.patch.dict(
-        os.environ,
-        {"JWT_VERIFY_KEY": secret, "JWT_SIGN_ALGORITHM": algorithm},
-        clear=True,
-    )
-
-    with caplog.at_level(logging.WARNING):
-        settings = Settings()
-        # Should not contain the symmetric algorithm warning
-        assert "symmetric shared-key signature algorithm" not in caplog.text
-        assert settings.JWT_ALGORITHM == algorithm

autogpt_platform/autogpt_libs/autogpt_libs/auth/dependencies.py

@@ -1,47 +0,0 @@
-"""
-FastAPI dependency functions for JWT-based authentication and authorization.
-
-These are the high-level dependency functions used in route definitions.
-"""
-
-import fastapi
-
-from .jwt_utils import get_jwt_payload, verify_user
-from .models import User
-
-
-async def requires_user(jwt_payload: dict = fastapi.Security(get_jwt_payload)) -> User:
-    """
-    FastAPI dependency that requires a valid authenticated user.
-
-    Raises:
-        HTTPException: 401 for authentication failures
-    """
-    return verify_user(jwt_payload, admin_only=False)
-
-
-async def requires_admin_user(
-    jwt_payload: dict = fastapi.Security(get_jwt_payload),
-) -> User:
-    """
-    FastAPI dependency that requires a valid admin user.
-
-    Raises:
-        HTTPException: 401 for authentication failures, 403 for insufficient permissions
-    """
-    return verify_user(jwt_payload, admin_only=True)
-
-
-async def get_user_id(jwt_payload: dict = fastapi.Security(get_jwt_payload)) -> str:
-    """
-    FastAPI dependency that returns the ID of the authenticated user.
-
-    Raises:
-        HTTPException: 401 for authentication failures or missing user ID
-    """
-    user_id = jwt_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/dependencies_test.py

@@ -1,335 +0,0 @@
-"""
-Comprehensive integration tests for authentication dependencies.
-Tests the full authentication flow from HTTP requests to user validation.
-"""
-
-import os
-
-import pytest
-from fastapi import FastAPI, HTTPException, Security
-from fastapi.testclient import TestClient
-from pytest_mock import MockerFixture
-
-from autogpt_libs.auth.dependencies import (
-    get_user_id,
-    requires_admin_user,
-    requires_user,
-)
-from autogpt_libs.auth.models import User
-
-
-class TestAuthDependencies:
-    """Test suite for authentication dependency functions."""
-
-    @pytest.fixture
-    def app(self):
-        """Create a test FastAPI application."""
-        app = FastAPI()
-
-        @app.get("/user")
-        def get_user_endpoint(user: User = Security(requires_user)):
-            return {"user_id": user.user_id, "role": user.role}
-
-        @app.get("/admin")
-        def get_admin_endpoint(user: User = Security(requires_admin_user)):
-            return {"user_id": user.user_id, "role": user.role}
-
-        @app.get("/user-id")
-        def get_user_id_endpoint(user_id: str = Security(get_user_id)):
-            return {"user_id": user_id}
-
-        return app
-
-    @pytest.fixture
-    def client(self, app):
-        """Create a test client."""
-        return TestClient(app)
-
-    async def test_requires_user_with_valid_jwt_payload(self, mocker: MockerFixture):
-        """Test requires_user with valid JWT payload."""
-        jwt_payload = {"sub": "user-123", "role": "user", "email": "user@example.com"}
-
-        # Mock get_jwt_payload to return our test payload
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-        user = await requires_user(jwt_payload)
-        assert isinstance(user, User)
-        assert user.user_id == "user-123"
-        assert user.role == "user"
-
-    async def test_requires_user_with_admin_jwt_payload(self, mocker: MockerFixture):
-        """Test requires_user accepts admin users."""
-        jwt_payload = {
-            "sub": "admin-456",
-            "role": "admin",
-            "email": "admin@example.com",
-        }
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-        user = await requires_user(jwt_payload)
-        assert user.user_id == "admin-456"
-        assert user.role == "admin"
-
-    async def test_requires_user_missing_sub(self):
-        """Test requires_user with missing user ID."""
-        jwt_payload = {"role": "user", "email": "user@example.com"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await requires_user(jwt_payload)
-        assert exc_info.value.status_code == 401
-        assert "User ID not found" in exc_info.value.detail
-
-    async def test_requires_user_empty_sub(self):
-        """Test requires_user with empty user ID."""
-        jwt_payload = {"sub": "", "role": "user"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await requires_user(jwt_payload)
-        assert exc_info.value.status_code == 401
-
-    async def test_requires_admin_user_with_admin(self, mocker: MockerFixture):
-        """Test requires_admin_user with admin role."""
-        jwt_payload = {
-            "sub": "admin-789",
-            "role": "admin",
-            "email": "admin@example.com",
-        }
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-        user = await requires_admin_user(jwt_payload)
-        assert user.user_id == "admin-789"
-        assert user.role == "admin"
-
-    async def test_requires_admin_user_with_regular_user(self):
-        """Test requires_admin_user rejects regular users."""
-        jwt_payload = {"sub": "user-123", "role": "user", "email": "user@example.com"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await requires_admin_user(jwt_payload)
-        assert exc_info.value.status_code == 403
-        assert "Admin access required" in exc_info.value.detail
-
-    async def test_requires_admin_user_missing_role(self):
-        """Test requires_admin_user with missing role."""
-        jwt_payload = {"sub": "user-123", "email": "user@example.com"}
-
-        with pytest.raises(KeyError):
-            await requires_admin_user(jwt_payload)
-
-    async def test_get_user_id_with_valid_payload(self, mocker: MockerFixture):
-        """Test get_user_id extracts user ID correctly."""
-        jwt_payload = {"sub": "user-id-xyz", "role": "user"}
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-        user_id = await get_user_id(jwt_payload)
-        assert user_id == "user-id-xyz"
-
-    async def test_get_user_id_missing_sub(self):
-        """Test get_user_id with missing user ID."""
-        jwt_payload = {"role": "user"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await get_user_id(jwt_payload)
-        assert exc_info.value.status_code == 401
-        assert "User ID not found" in exc_info.value.detail
-
-    async def test_get_user_id_none_sub(self):
-        """Test get_user_id with None user ID."""
-        jwt_payload = {"sub": None, "role": "user"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await get_user_id(jwt_payload)
-        assert exc_info.value.status_code == 401
-
-
-class TestAuthDependenciesIntegration:
-    """Integration tests for auth dependencies with FastAPI."""
-
-    acceptable_jwt_secret = "test-secret-with-proper-length-123456"
-
-    @pytest.fixture
-    def create_token(self, mocker: MockerFixture):
-        """Helper to create JWT tokens."""
-        import jwt
-
-        mocker.patch.dict(
-            os.environ,
-            {"JWT_VERIFY_KEY": self.acceptable_jwt_secret},
-            clear=True,
-        )
-
-        def _create_token(payload, secret=self.acceptable_jwt_secret):
-            return jwt.encode(payload, secret, algorithm="HS256")
-
-        return _create_token
-
-    async def test_endpoint_auth_enabled_no_token(self):
-        """Test endpoints require token when auth is enabled."""
-        app = FastAPI()
-
-        @app.get("/test")
-        def test_endpoint(user: User = Security(requires_user)):
-            return {"user_id": user.user_id}
-
-        client = TestClient(app)
-
-        # Should fail without auth header
-        response = client.get("/test")
-        assert response.status_code == 401
-
-    async def test_endpoint_with_valid_token(self, create_token):
-        """Test endpoint with valid JWT token."""
-        app = FastAPI()
-
-        @app.get("/test")
-        def test_endpoint(user: User = Security(requires_user)):
-            return {"user_id": user.user_id, "role": user.role}
-
-        client = TestClient(app)
-
-        token = create_token(
-            {"sub": "test-user", "role": "user", "aud": "authenticated"},
-            secret=self.acceptable_jwt_secret,
-        )
-
-        response = client.get("/test", headers={"Authorization": f"Bearer {token}"})
-        assert response.status_code == 200
-        assert response.json()["user_id"] == "test-user"
-
-    async def test_admin_endpoint_requires_admin_role(self, create_token):
-        """Test admin endpoint rejects non-admin users."""
-        app = FastAPI()
-
-        @app.get("/admin")
-        def admin_endpoint(user: User = Security(requires_admin_user)):
-            return {"user_id": user.user_id}
-
-        client = TestClient(app)
-
-        # Regular user token
-        user_token = create_token(
-            {"sub": "regular-user", "role": "user", "aud": "authenticated"},
-            secret=self.acceptable_jwt_secret,
-        )
-
-        response = client.get(
-            "/admin", headers={"Authorization": f"Bearer {user_token}"}
-        )
-        assert response.status_code == 403
-
-        # Admin token
-        admin_token = create_token(
-            {"sub": "admin-user", "role": "admin", "aud": "authenticated"},
-            secret=self.acceptable_jwt_secret,
-        )
-
-        response = client.get(
-            "/admin", headers={"Authorization": f"Bearer {admin_token}"}
-        )
-        assert response.status_code == 200
-        assert response.json()["user_id"] == "admin-user"
-
-
-class TestAuthDependenciesEdgeCases:
-    """Edge case tests for authentication dependencies."""
-
-    async def test_dependency_with_complex_payload(self):
-        """Test dependencies handle complex JWT payloads."""
-        complex_payload = {
-            "sub": "user-123",
-            "role": "admin",
-            "email": "test@example.com",
-            "app_metadata": {"provider": "email", "providers": ["email"]},
-            "user_metadata": {
-                "full_name": "Test User",
-                "avatar_url": "https://example.com/avatar.jpg",
-            },
-            "aud": "authenticated",
-            "iat": 1234567890,
-            "exp": 9999999999,
-        }
-
-        user = await requires_user(complex_payload)
-        assert user.user_id == "user-123"
-        assert user.email == "test@example.com"
-
-        admin = await requires_admin_user(complex_payload)
-        assert admin.role == "admin"
-
-    async def test_dependency_with_unicode_in_payload(self):
-        """Test dependencies handle unicode in JWT payloads."""
-        unicode_payload = {
-            "sub": "user-😀-123",
-            "role": "user",
-            "email": "测试@example.com",
-            "name": "日本語",
-        }
-
-        user = await requires_user(unicode_payload)
-        assert "😀" in user.user_id
-        assert user.email == "测试@example.com"
-
-    async def test_dependency_with_null_values(self):
-        """Test dependencies handle null values in payload."""
-        null_payload = {
-            "sub": "user-123",
-            "role": "user",
-            "email": None,
-            "phone": None,
-            "metadata": None,
-        }
-
-        user = await requires_user(null_payload)
-        assert user.user_id == "user-123"
-        assert user.email is None
-
-    async def test_concurrent_requests_isolation(self):
-        """Test that concurrent requests don't interfere with each other."""
-        payload1 = {"sub": "user-1", "role": "user"}
-        payload2 = {"sub": "user-2", "role": "admin"}
-
-        # Simulate concurrent processing
-        user1 = await requires_user(payload1)
-        user2 = await requires_admin_user(payload2)
-
-        assert user1.user_id == "user-1"
-        assert user2.user_id == "user-2"
-        assert user1.role == "user"
-        assert user2.role == "admin"
-
-    @pytest.mark.parametrize(
-        "payload,expected_error,admin_only",
-        [
-            (None, "Authorization header is missing", False),
-            ({}, "User ID not found", False),
-            ({"sub": ""}, "User ID not found", False),
-            ({"role": "user"}, "User ID not found", False),
-            ({"sub": "user", "role": "user"}, "Admin access required", True),
-        ],
-    )
-    async def test_dependency_error_cases(
-        self, payload, expected_error: str, admin_only: bool
-    ):
-        """Test that errors propagate correctly through dependencies."""
-        # Import verify_user to test it directly since dependencies use FastAPI Security
-        from autogpt_libs.auth.jwt_utils import verify_user
-
-        with pytest.raises(HTTPException) as exc_info:
-            verify_user(payload, admin_only=admin_only)
-        assert expected_error in exc_info.value.detail
-
-    async def test_dependency_valid_user(self):
-        """Test valid user case for dependency."""
-        # Import verify_user to test it directly since dependencies use FastAPI Security
-        from autogpt_libs.auth.jwt_utils import verify_user
-
-        # Valid case
-        user = verify_user({"sub": "user", "role": "user"}, admin_only=False)
-        assert user.user_id == "user"

autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py

@@ -0,0 +1,32 @@
+import fastapi
+
+from .middleware import auth_middleware
+from .models import User
+
+
+def requires_user(payload: dict = fastapi.Depends(auth_middleware)) -> User:
+    return verify_user(payload, admin_only=False)
+
+
+def requires_admin_user(
+    payload: dict = fastapi.Depends(auth_middleware),
+) -> User:
+    return verify_user(payload, admin_only=True)
+
+
+def verify_user(payload: dict | None, admin_only: bool) -> User:
+    if not payload:
+        # This handles the case when authentication is disabled
+        payload = {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"}
+
+    user_id = payload.get("sub")
+
+    if not user_id:
+        raise fastapi.HTTPException(
+            status_code=401, detail="User ID not found in token"
+        )
+
+    if admin_only and payload["role"] != "admin":
+        raise fastapi.HTTPException(status_code=403, detail="Admin access required")
+
+    return User.from_payload(payload)

autogpt_platform/autogpt_libs/autogpt_libs/auth/depends_tests.py

@@ -0,0 +1,68 @@
+import pytest
+
+from .depends import requires_admin_user, requires_user, verify_user
+
+
+def test_verify_user_no_payload():
+    user = verify_user(None, admin_only=False)
+    assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+    assert user.role == "admin"
+
+
+def test_verify_user_no_user_id():
+    with pytest.raises(Exception):
+        verify_user({"role": "admin"}, admin_only=False)
+
+
+def test_verify_user_not_admin():
+    with pytest.raises(Exception):
+        verify_user(
+            {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"},
+            admin_only=True,
+        )
+
+
+def test_verify_user_with_admin_role():
+    user = verify_user(
+        {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"},
+        admin_only=True,
+    )
+    assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+    assert user.role == "admin"
+
+
+def test_verify_user_with_user_role():
+    user = verify_user(
+        {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"},
+        admin_only=False,
+    )
+    assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+    assert user.role == "user"
+
+
+def test_requires_user():
+    user = requires_user(
+        {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"}
+    )
+    assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+    assert user.role == "user"
+
+
+def test_requires_user_no_user_id():
+    with pytest.raises(Exception):
+        requires_user({"role": "user"})
+
+
+def test_requires_admin_user():
+    user = requires_admin_user(
+        {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"}
+    )
+    assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
+    assert user.role == "admin"
+
+
+def test_requires_admin_user_not_admin():
+    with pytest.raises(Exception):
+        requires_admin_user(
+            {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"}
+        )

autogpt_platform/autogpt_libs/autogpt_libs/auth/helpers.py

@@ -1,68 +0,0 @@
-from fastapi import FastAPI
-from fastapi.openapi.utils import get_openapi
-
-from .jwt_utils import bearer_jwt_auth
-
-
-def add_auth_responses_to_openapi(app: FastAPI) -> None:
-    """
-    Set up custom OpenAPI schema generation that adds 401 responses
-    to all authenticated endpoints.
-
-    This is needed when using HTTPBearer with auto_error=False to get proper
-    401 responses instead of 403, but FastAPI only automatically adds security
-    responses when auto_error=True.
-    """
-
-    def custom_openapi():
-        if app.openapi_schema:
-            return app.openapi_schema
-
-        openapi_schema = get_openapi(
-            title=app.title,
-            version=app.version,
-            description=app.description,
-            routes=app.routes,
-        )
-
-        # Add 401 response to all endpoints that have security requirements
-        for path, methods in openapi_schema["paths"].items():
-            for method, details in methods.items():
-                security_schemas = [
-                    schema
-                    for auth_option in details.get("security", [])
-                    for schema in auth_option.keys()
-                ]
-                if bearer_jwt_auth.scheme_name not in security_schemas:
-                    continue
-
-                if "responses" not in details:
-                    details["responses"] = {}
-
-                details["responses"]["401"] = {
-                    "$ref": "#/components/responses/HTTP401NotAuthenticatedError"
-                }
-
-        # Ensure #/components/responses exists
-        if "components" not in openapi_schema:
-            openapi_schema["components"] = {}
-        if "responses" not in openapi_schema["components"]:
-            openapi_schema["components"]["responses"] = {}
-
-        # Define 401 response
-        openapi_schema["components"]["responses"]["HTTP401NotAuthenticatedError"] = {
-            "description": "Authentication required",
-            "content": {
-                "application/json": {
-                    "schema": {
-                        "type": "object",
-                        "properties": {"detail": {"type": "string"}},
-                    }
-                }
-            },
-        }
-
-        app.openapi_schema = openapi_schema
-        return app.openapi_schema
-
-    app.openapi = custom_openapi

autogpt_platform/autogpt_libs/autogpt_libs/auth/helpers_test.py

@@ -1,435 +0,0 @@
-"""
-Comprehensive tests for auth helpers module to achieve 100% coverage.
-Tests OpenAPI schema generation and authentication response handling.
-"""
-
-from unittest import mock
-
-from fastapi import FastAPI
-from fastapi.openapi.utils import get_openapi
-
-from autogpt_libs.auth.helpers import add_auth_responses_to_openapi
-from autogpt_libs.auth.jwt_utils import bearer_jwt_auth
-
-
-def test_add_auth_responses_to_openapi_basic():
-    """Test adding 401 responses to OpenAPI schema."""
-    app = FastAPI(title="Test App", version="1.0.0")
-
-    # Add some test endpoints with authentication
-    from fastapi import Depends
-
-    from autogpt_libs.auth.dependencies import requires_user
-
-    @app.get("/protected", dependencies=[Depends(requires_user)])
-    def protected_endpoint():
-        return {"message": "Protected"}
-
-    @app.get("/public")
-    def public_endpoint():
-        return {"message": "Public"}
-
-    # Apply the OpenAPI customization
-    add_auth_responses_to_openapi(app)
-
-    # Get the OpenAPI schema
-    schema = app.openapi()
-
-    # Verify basic schema properties
-    assert schema["info"]["title"] == "Test App"
-    assert schema["info"]["version"] == "1.0.0"
-
-    # Verify 401 response component is added
-    assert "components" in schema
-    assert "responses" in schema["components"]
-    assert "HTTP401NotAuthenticatedError" in schema["components"]["responses"]
-
-    # Verify 401 response structure
-    error_response = schema["components"]["responses"]["HTTP401NotAuthenticatedError"]
-    assert error_response["description"] == "Authentication required"
-    assert "application/json" in error_response["content"]
-    assert "schema" in error_response["content"]["application/json"]
-
-    # Verify schema properties
-    response_schema = error_response["content"]["application/json"]["schema"]
-    assert response_schema["type"] == "object"
-    assert "detail" in response_schema["properties"]
-    assert response_schema["properties"]["detail"]["type"] == "string"
-
-
-def test_add_auth_responses_to_openapi_with_security():
-    """Test that 401 responses are added only to secured endpoints."""
-    app = FastAPI()
-
-    # Mock endpoint with security
-    from fastapi import Security
-
-    from autogpt_libs.auth.dependencies import get_user_id
-
-    @app.get("/secured")
-    def secured_endpoint(user_id: str = Security(get_user_id)):
-        return {"user_id": user_id}
-
-    @app.post("/also-secured")
-    def another_secured(user_id: str = Security(get_user_id)):
-        return {"status": "ok"}
-
-    @app.get("/unsecured")
-    def unsecured_endpoint():
-        return {"public": True}
-
-    # Apply OpenAPI customization
-    add_auth_responses_to_openapi(app)
-
-    # Get schema
-    schema = app.openapi()
-
-    # Check that secured endpoints have 401 responses
-    if "/secured" in schema["paths"]:
-        if "get" in schema["paths"]["/secured"]:
-            secured_get = schema["paths"]["/secured"]["get"]
-            if "responses" in secured_get:
-                assert "401" in secured_get["responses"]
-                assert (
-                    secured_get["responses"]["401"]["$ref"]
-                    == "#/components/responses/HTTP401NotAuthenticatedError"
-                )
-
-    if "/also-secured" in schema["paths"]:
-        if "post" in schema["paths"]["/also-secured"]:
-            secured_post = schema["paths"]["/also-secured"]["post"]
-            if "responses" in secured_post:
-                assert "401" in secured_post["responses"]
-
-    # Check that unsecured endpoint does not have 401 response
-    if "/unsecured" in schema["paths"]:
-        if "get" in schema["paths"]["/unsecured"]:
-            unsecured_get = schema["paths"]["/unsecured"]["get"]
-            if "responses" in unsecured_get:
-                assert "401" not in unsecured_get.get("responses", {})
-
-
-def test_add_auth_responses_to_openapi_cached_schema():
-    """Test that OpenAPI schema is cached after first generation."""
-    app = FastAPI()
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    # Get schema twice
-    schema1 = app.openapi()
-    schema2 = app.openapi()
-
-    # Should return the same cached object
-    assert schema1 is schema2
-
-
-def test_add_auth_responses_to_openapi_existing_responses():
-    """Test handling endpoints that already have responses defined."""
-    app = FastAPI()
-
-    from fastapi import Security
-
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    @app.get(
-        "/with-responses",
-        responses={
-            200: {"description": "Success"},
-            404: {"description": "Not found"},
-        },
-    )
-    def endpoint_with_responses(jwt: dict = Security(get_jwt_payload)):
-        return {"data": "test"}
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    schema = app.openapi()
-
-    # Check that existing responses are preserved and 401 is added
-    if "/with-responses" in schema["paths"]:
-        if "get" in schema["paths"]["/with-responses"]:
-            responses = schema["paths"]["/with-responses"]["get"].get("responses", {})
-            # Original responses should be preserved
-            if "200" in responses:
-                assert responses["200"]["description"] == "Success"
-            if "404" in responses:
-                assert responses["404"]["description"] == "Not found"
-            # 401 should be added
-            if "401" in responses:
-                assert (
-                    responses["401"]["$ref"]
-                    == "#/components/responses/HTTP401NotAuthenticatedError"
-                )
-
-
-def test_add_auth_responses_to_openapi_no_security_endpoints():
-    """Test with app that has no secured endpoints."""
-    app = FastAPI()
-
-    @app.get("/public1")
-    def public1():
-        return {"message": "public1"}
-
-    @app.post("/public2")
-    def public2():
-        return {"message": "public2"}
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    schema = app.openapi()
-
-    # Component should still be added for consistency
-    assert "HTTP401NotAuthenticatedError" in schema["components"]["responses"]
-
-    # But no endpoints should have 401 responses
-    for path in schema["paths"].values():
-        for method in path.values():
-            if isinstance(method, dict) and "responses" in method:
-                assert "401" not in method["responses"]
-
-
-def test_add_auth_responses_to_openapi_multiple_security_schemes():
-    """Test endpoints with multiple security requirements."""
-    app = FastAPI()
-
-    from fastapi import Security
-
-    from autogpt_libs.auth.dependencies import requires_admin_user, requires_user
-    from autogpt_libs.auth.models import User
-
-    @app.get("/multi-auth")
-    def multi_auth(
-        user: User = Security(requires_user),
-        admin: User = Security(requires_admin_user),
-    ):
-        return {"status": "super secure"}
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    schema = app.openapi()
-
-    # Should have 401 response
-    if "/multi-auth" in schema["paths"]:
-        if "get" in schema["paths"]["/multi-auth"]:
-            responses = schema["paths"]["/multi-auth"]["get"].get("responses", {})
-            if "401" in responses:
-                assert (
-                    responses["401"]["$ref"]
-                    == "#/components/responses/HTTP401NotAuthenticatedError"
-                )
-
-
-def test_add_auth_responses_to_openapi_empty_components():
-    """Test when OpenAPI schema has no components section initially."""
-    app = FastAPI()
-
-    # Mock get_openapi to return schema without components
-    original_get_openapi = get_openapi
-
-    def mock_get_openapi(*args, **kwargs):
-        schema = original_get_openapi(*args, **kwargs)
-        # Remove components if it exists
-        if "components" in schema:
-            del schema["components"]
-        return schema
-
-    with mock.patch("autogpt_libs.auth.helpers.get_openapi", mock_get_openapi):
-        # Apply customization
-        add_auth_responses_to_openapi(app)
-
-        schema = app.openapi()
-
-        # Components should be created
-        assert "components" in schema
-        assert "responses" in schema["components"]
-        assert "HTTP401NotAuthenticatedError" in schema["components"]["responses"]
-
-
-def test_add_auth_responses_to_openapi_all_http_methods():
-    """Test that all HTTP methods are handled correctly."""
-    app = FastAPI()
-
-    from fastapi import Security
-
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    @app.get("/resource")
-    def get_resource(jwt: dict = Security(get_jwt_payload)):
-        return {"method": "GET"}
-
-    @app.post("/resource")
-    def post_resource(jwt: dict = Security(get_jwt_payload)):
-        return {"method": "POST"}
-
-    @app.put("/resource")
-    def put_resource(jwt: dict = Security(get_jwt_payload)):
-        return {"method": "PUT"}
-
-    @app.patch("/resource")
-    def patch_resource(jwt: dict = Security(get_jwt_payload)):
-        return {"method": "PATCH"}
-
-    @app.delete("/resource")
-    def delete_resource(jwt: dict = Security(get_jwt_payload)):
-        return {"method": "DELETE"}
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    schema = app.openapi()
-
-    # All methods should have 401 response
-    if "/resource" in schema["paths"]:
-        for method in ["get", "post", "put", "patch", "delete"]:
-            if method in schema["paths"]["/resource"]:
-                method_spec = schema["paths"]["/resource"][method]
-                if "responses" in method_spec:
-                    assert "401" in method_spec["responses"]
-
-
-def test_bearer_jwt_auth_scheme_config():
-    """Test that bearer_jwt_auth is configured correctly."""
-    assert bearer_jwt_auth.scheme_name == "HTTPBearerJWT"
-    assert bearer_jwt_auth.auto_error is False
-
-
-def test_add_auth_responses_with_no_routes():
-    """Test OpenAPI generation with app that has no routes."""
-    app = FastAPI(title="Empty App")
-
-    # Apply customization to empty app
-    add_auth_responses_to_openapi(app)
-
-    schema = app.openapi()
-
-    # Should still have basic structure
-    assert schema["info"]["title"] == "Empty App"
-    assert "components" in schema
-    assert "responses" in schema["components"]
-    assert "HTTP401NotAuthenticatedError" in schema["components"]["responses"]
-
-
-def test_custom_openapi_function_replacement():
-    """Test that the custom openapi function properly replaces the default."""
-    app = FastAPI()
-
-    # Store original function
-    original_openapi = app.openapi
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    # Function should be replaced
-    assert app.openapi != original_openapi
-    assert callable(app.openapi)
-
-
-def test_endpoint_without_responses_section():
-    """Test endpoint that has security but no responses section initially."""
-    app = FastAPI()
-
-    from fastapi import Security
-    from fastapi.openapi.utils import get_openapi as original_get_openapi
-
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    # Create endpoint
-    @app.get("/no-responses")
-    def endpoint_without_responses(jwt: dict = Security(get_jwt_payload)):
-        return {"data": "test"}
-
-    # Mock get_openapi to remove responses from the endpoint
-    def mock_get_openapi(*args, **kwargs):
-        schema = original_get_openapi(*args, **kwargs)
-        # Remove responses from our endpoint to trigger line 40
-        if "/no-responses" in schema.get("paths", {}):
-            if "get" in schema["paths"]["/no-responses"]:
-                # Delete responses to force the code to create it
-                if "responses" in schema["paths"]["/no-responses"]["get"]:
-                    del schema["paths"]["/no-responses"]["get"]["responses"]
-        return schema
-
-    with mock.patch("autogpt_libs.auth.helpers.get_openapi", mock_get_openapi):
-        # Apply customization
-        add_auth_responses_to_openapi(app)
-
-        # Get schema and verify 401 was added
-        schema = app.openapi()
-
-        # The endpoint should now have 401 response
-        if "/no-responses" in schema["paths"]:
-            if "get" in schema["paths"]["/no-responses"]:
-                responses = schema["paths"]["/no-responses"]["get"].get("responses", {})
-                assert "401" in responses
-                assert (
-                    responses["401"]["$ref"]
-                    == "#/components/responses/HTTP401NotAuthenticatedError"
-                )
-
-
-def test_components_with_existing_responses():
-    """Test when components already has a responses section."""
-    app = FastAPI()
-
-    # Mock get_openapi to return schema with existing components/responses
-    from fastapi.openapi.utils import get_openapi as original_get_openapi
-
-    def mock_get_openapi(*args, **kwargs):
-        schema = original_get_openapi(*args, **kwargs)
-        # Add existing components/responses
-        if "components" not in schema:
-            schema["components"] = {}
-        schema["components"]["responses"] = {
-            "ExistingResponse": {"description": "An existing response"}
-        }
-        return schema
-
-    with mock.patch("autogpt_libs.auth.helpers.get_openapi", mock_get_openapi):
-        # Apply customization
-        add_auth_responses_to_openapi(app)
-
-        schema = app.openapi()
-
-        # Both responses should exist
-        assert "ExistingResponse" in schema["components"]["responses"]
-        assert "HTTP401NotAuthenticatedError" in schema["components"]["responses"]
-
-        # Verify our 401 response structure
-        error_response = schema["components"]["responses"][
-            "HTTP401NotAuthenticatedError"
-        ]
-        assert error_response["description"] == "Authentication required"
-
-
-def test_openapi_schema_persistence():
-    """Test that modifications to OpenAPI schema persist correctly."""
-    app = FastAPI()
-
-    from fastapi import Security
-
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    @app.get("/test")
-    def test_endpoint(jwt: dict = Security(get_jwt_payload)):
-        return {"test": True}
-
-    # Apply customization
-    add_auth_responses_to_openapi(app)
-
-    # Get schema multiple times
-    schema1 = app.openapi()
-
-    # Modify the cached schema (shouldn't affect future calls)
-    schema1["info"]["title"] = "Modified Title"
-
-    # Clear cache and get again
-    app.openapi_schema = None
-    schema2 = app.openapi()
-
-    # Should regenerate with original title
-    assert schema2["info"]["title"] == app.title
-    assert schema2["info"]["title"] != "Modified Title"

autogpt_platform/autogpt_libs/autogpt_libs/auth/jwt_utils.py

@@ -1,48 +1,11 @@
-import logging
-from typing import Any
+from typing import Any, Dict
 
 import jwt
-from fastapi import HTTPException, Security
-from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 
-from .config import get_settings
-from .models import User
-
-logger = logging.getLogger(__name__)
-
-# Bearer token authentication scheme
-bearer_jwt_auth = HTTPBearer(
-    bearerFormat="jwt", scheme_name="HTTPBearerJWT", auto_error=False
-)
+from .config import settings
 
 
-async def get_jwt_payload(
-    credentials: HTTPAuthorizationCredentials | None = Security(bearer_jwt_auth),
-) -> dict[str, Any]:
-    """
-    Extract and validate JWT payload from HTTP Authorization header.
-
-    This is the core authentication function that handles:
-    - Reading the `Authorization` header to obtain the JWT token
-    - Verifying the JWT token's signature
-    - Decoding the JWT token's payload
-
-    :param credentials: HTTP Authorization credentials from bearer token
-    :return: JWT payload dictionary
-    :raises HTTPException: 401 if authentication fails
-    """
-    if not credentials:
-        raise HTTPException(status_code=401, detail="Authorization header is missing")
-
-    try:
-        payload = parse_jwt_token(credentials.credentials)
-        logger.debug("Token decoded successfully")
-        return payload
-    except ValueError as e:
-        raise HTTPException(status_code=401, detail=str(e))
-
-
-def parse_jwt_token(token: str) -> dict[str, Any]:
+def parse_jwt_token(token: str) -> Dict[str, Any]:
     """
     Parse and validate a JWT token.
 
@@ -50,11 +13,10 @@ def parse_jwt_token(token: str) -> dict[str, Any]:
     :return: The decoded payload
     :raises ValueError: If the token is invalid or expired
     """
-    settings = get_settings()
     try:
         payload = jwt.decode(
             token,
-            settings.JWT_VERIFY_KEY,
+            settings.JWT_SECRET_KEY,
             algorithms=[settings.JWT_ALGORITHM],
             audience="authenticated",
         )
@@ -63,18 +25,3 @@ def parse_jwt_token(token: str) -> dict[str, Any]:
         raise ValueError("Token has expired")
     except jwt.InvalidTokenError as e:
         raise ValueError(f"Invalid token: {str(e)}")
-
-
-def verify_user(jwt_payload: dict | None, admin_only: bool) -> User:
-    if jwt_payload is None:
-        raise HTTPException(status_code=401, detail="Authorization header is missing")
-
-    user_id = jwt_payload.get("sub")
-
-    if not user_id:
-        raise HTTPException(status_code=401, detail="User ID not found in token")
-
-    if admin_only and jwt_payload["role"] != "admin":
-        raise HTTPException(status_code=403, detail="Admin access required")
-
-    return User.from_payload(jwt_payload)

autogpt_platform/autogpt_libs/autogpt_libs/auth/jwt_utils_test.py

@@ -1,308 +0,0 @@
-"""
-Comprehensive tests for JWT token parsing and validation.
-Ensures 100% line and branch coverage for JWT security functions.
-"""
-
-import os
-from datetime import datetime, timedelta, timezone
-
-import jwt
-import pytest
-from fastapi import HTTPException
-from fastapi.security import HTTPAuthorizationCredentials
-from pytest_mock import MockerFixture
-
-from autogpt_libs.auth import config, jwt_utils
-from autogpt_libs.auth.config import Settings
-from autogpt_libs.auth.models import User
-
-MOCK_JWT_SECRET = "test-secret-key-with-at-least-32-characters"
-TEST_USER_PAYLOAD = {
-    "sub": "test-user-id",
-    "role": "user",
-    "aud": "authenticated",
-    "email": "test@example.com",
-}
-TEST_ADMIN_PAYLOAD = {
-    "sub": "admin-user-id",
-    "role": "admin",
-    "aud": "authenticated",
-    "email": "admin@example.com",
-}
-
-
-@pytest.fixture(autouse=True)
-def mock_config(mocker: MockerFixture):
-    mocker.patch.dict(os.environ, {"JWT_VERIFY_KEY": MOCK_JWT_SECRET}, clear=True)
-    mocker.patch.object(config, "_settings", Settings())
-    yield
-
-
-def create_token(payload, secret=None, algorithm="HS256"):
-    """Helper to create JWT tokens."""
-    if secret is None:
-        secret = MOCK_JWT_SECRET
-    return jwt.encode(payload, secret, algorithm=algorithm)
-
-
-def test_parse_jwt_token_valid():
-    """Test parsing a valid JWT token."""
-    token = create_token(TEST_USER_PAYLOAD)
-    result = jwt_utils.parse_jwt_token(token)
-
-    assert result["sub"] == "test-user-id"
-    assert result["role"] == "user"
-    assert result["aud"] == "authenticated"
-
-
-def test_parse_jwt_token_expired():
-    """Test parsing an expired JWT token."""
-    expired_payload = {
-        **TEST_USER_PAYLOAD,
-        "exp": datetime.now(timezone.utc) - timedelta(hours=1),
-    }
-    token = create_token(expired_payload)
-
-    with pytest.raises(ValueError) as exc_info:
-        jwt_utils.parse_jwt_token(token)
-    assert "Token has expired" in str(exc_info.value)
-
-
-def test_parse_jwt_token_invalid_signature():
-    """Test parsing a token with invalid signature."""
-    # Create token with different secret
-    token = create_token(TEST_USER_PAYLOAD, secret="wrong-secret")
-
-    with pytest.raises(ValueError) as exc_info:
-        jwt_utils.parse_jwt_token(token)
-    assert "Invalid token" in str(exc_info.value)
-
-
-def test_parse_jwt_token_malformed():
-    """Test parsing a malformed token."""
-    malformed_tokens = [
-        "not.a.token",
-        "invalid",
-        "",
-        # Header only
-        "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9",
-        # No signature
-        "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJ0ZXN0In0",
-    ]
-
-    for token in malformed_tokens:
-        with pytest.raises(ValueError) as exc_info:
-            jwt_utils.parse_jwt_token(token)
-        assert "Invalid token" in str(exc_info.value)
-
-
-def test_parse_jwt_token_wrong_audience():
-    """Test parsing a token with wrong audience."""
-    wrong_aud_payload = {**TEST_USER_PAYLOAD, "aud": "wrong-audience"}
-    token = create_token(wrong_aud_payload)
-
-    with pytest.raises(ValueError) as exc_info:
-        jwt_utils.parse_jwt_token(token)
-    assert "Invalid token" in str(exc_info.value)
-
-
-def test_parse_jwt_token_missing_audience():
-    """Test parsing a token without audience claim."""
-    no_aud_payload = {k: v for k, v in TEST_USER_PAYLOAD.items() if k != "aud"}
-    token = create_token(no_aud_payload)
-
-    with pytest.raises(ValueError) as exc_info:
-        jwt_utils.parse_jwt_token(token)
-    assert "Invalid token" in str(exc_info.value)
-
-
-async def test_get_jwt_payload_with_valid_token():
-    """Test extracting JWT payload with valid bearer token."""
-    token = create_token(TEST_USER_PAYLOAD)
-    credentials = HTTPAuthorizationCredentials(scheme="Bearer", credentials=token)
-
-    result = await jwt_utils.get_jwt_payload(credentials)
-    assert result["sub"] == "test-user-id"
-    assert result["role"] == "user"
-
-
-async def test_get_jwt_payload_no_credentials():
-    """Test JWT payload when no credentials provided."""
-    with pytest.raises(HTTPException) as exc_info:
-        await jwt_utils.get_jwt_payload(None)
-    assert exc_info.value.status_code == 401
-    assert "Authorization header is missing" in exc_info.value.detail
-
-
-async def test_get_jwt_payload_invalid_token():
-    """Test JWT payload extraction with invalid token."""
-    credentials = HTTPAuthorizationCredentials(
-        scheme="Bearer", credentials="invalid.token.here"
-    )
-
-    with pytest.raises(HTTPException) as exc_info:
-        await jwt_utils.get_jwt_payload(credentials)
-    assert exc_info.value.status_code == 401
-    assert "Invalid token" in exc_info.value.detail
-
-
-def test_verify_user_with_valid_user():
-    """Test verifying a valid user."""
-    user = jwt_utils.verify_user(TEST_USER_PAYLOAD, admin_only=False)
-    assert isinstance(user, User)
-    assert user.user_id == "test-user-id"
-    assert user.role == "user"
-    assert user.email == "test@example.com"
-
-
-def test_verify_user_with_admin():
-    """Test verifying an admin user."""
-    user = jwt_utils.verify_user(TEST_ADMIN_PAYLOAD, admin_only=True)
-    assert isinstance(user, User)
-    assert user.user_id == "admin-user-id"
-    assert user.role == "admin"
-
-
-def test_verify_user_admin_only_with_regular_user():
-    """Test verifying regular user when admin is required."""
-    with pytest.raises(HTTPException) as exc_info:
-        jwt_utils.verify_user(TEST_USER_PAYLOAD, admin_only=True)
-    assert exc_info.value.status_code == 403
-    assert "Admin access required" in exc_info.value.detail
-
-
-def test_verify_user_no_payload():
-    """Test verifying user with no payload."""
-    with pytest.raises(HTTPException) as exc_info:
-        jwt_utils.verify_user(None, admin_only=False)
-    assert exc_info.value.status_code == 401
-    assert "Authorization header is missing" in exc_info.value.detail
-
-
-def test_verify_user_missing_sub():
-    """Test verifying user with payload missing 'sub' field."""
-    invalid_payload = {"role": "user", "email": "test@example.com"}
-    with pytest.raises(HTTPException) as exc_info:
-        jwt_utils.verify_user(invalid_payload, admin_only=False)
-    assert exc_info.value.status_code == 401
-    assert "User ID not found in token" in exc_info.value.detail
-
-
-def test_verify_user_empty_sub():
-    """Test verifying user with empty 'sub' field."""
-    invalid_payload = {"sub": "", "role": "user"}
-    with pytest.raises(HTTPException) as exc_info:
-        jwt_utils.verify_user(invalid_payload, admin_only=False)
-    assert exc_info.value.status_code == 401
-    assert "User ID not found in token" in exc_info.value.detail
-
-
-def test_verify_user_none_sub():
-    """Test verifying user with None 'sub' field."""
-    invalid_payload = {"sub": None, "role": "user"}
-    with pytest.raises(HTTPException) as exc_info:
-        jwt_utils.verify_user(invalid_payload, admin_only=False)
-    assert exc_info.value.status_code == 401
-    assert "User ID not found in token" in exc_info.value.detail
-
-
-def test_verify_user_missing_role_admin_check():
-    """Test verifying admin when role field is missing."""
-    no_role_payload = {"sub": "user-id"}
-    with pytest.raises(KeyError):
-        # This will raise KeyError when checking payload["role"]
-        jwt_utils.verify_user(no_role_payload, admin_only=True)
-
-
-# ======================== EDGE CASES ======================== #
-
-
-def test_jwt_with_additional_claims():
-    """Test JWT token with additional custom claims."""
-    extra_claims_payload = {
-        "sub": "user-id",
-        "role": "user",
-        "aud": "authenticated",
-        "custom_claim": "custom_value",
-        "permissions": ["read", "write"],
-        "metadata": {"key": "value"},
-    }
-    token = create_token(extra_claims_payload)
-
-    result = jwt_utils.parse_jwt_token(token)
-    assert result["sub"] == "user-id"
-    assert result["custom_claim"] == "custom_value"
-    assert result["permissions"] == ["read", "write"]
-
-
-def test_jwt_with_numeric_sub():
-    """Test JWT token with numeric user ID."""
-    payload = {
-        "sub": 12345,  # Numeric ID
-        "role": "user",
-        "aud": "authenticated",
-    }
-    # Should convert to string internally
-    user = jwt_utils.verify_user(payload, admin_only=False)
-    assert user.user_id == 12345
-
-
-def test_jwt_with_very_long_sub():
-    """Test JWT token with very long user ID."""
-    long_id = "a" * 1000
-    payload = {
-        "sub": long_id,
-        "role": "user",
-        "aud": "authenticated",
-    }
-    user = jwt_utils.verify_user(payload, admin_only=False)
-    assert user.user_id == long_id
-
-
-def test_jwt_with_special_characters_in_claims():
-    """Test JWT token with special characters in claims."""
-    payload = {
-        "sub": "user@example.com/special-chars!@#$%",
-        "role": "admin",
-        "aud": "authenticated",
-        "email": "test+special@example.com",
-    }
-    user = jwt_utils.verify_user(payload, admin_only=True)
-    assert "special-chars!@#$%" in user.user_id
-
-
-def test_jwt_with_future_iat():
-    """Test JWT token with issued-at time in future."""
-    future_payload = {
-        "sub": "user-id",
-        "role": "user",
-        "aud": "authenticated",
-        "iat": datetime.now(timezone.utc) + timedelta(hours=1),
-    }
-    token = create_token(future_payload)
-
-    # PyJWT validates iat claim and should reject future tokens
-    with pytest.raises(ValueError, match="not yet valid"):
-        jwt_utils.parse_jwt_token(token)
-
-
-def test_jwt_with_different_algorithms():
-    """Test that only HS256 algorithm is accepted."""
-    payload = {
-        "sub": "user-id",
-        "role": "user",
-        "aud": "authenticated",
-    }
-
-    # Try different algorithms
-    algorithms = ["HS384", "HS512", "none"]
-    for algo in algorithms:
-        if algo == "none":
-            # Special case for 'none' algorithm (security vulnerability if accepted)
-            token = create_token(payload, "", algorithm="none")
-        else:
-            token = create_token(payload, algorithm=algo)
-
-        with pytest.raises(ValueError) as exc_info:
-            jwt_utils.parse_jwt_token(token)
-        assert "Invalid token" in str(exc_info.value)

autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py

@@ -0,0 +1,31 @@
+import logging
+
+from fastapi import HTTPException, Request
+from fastapi.security import HTTPBearer
+
+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
+        logger.warn("Auth disabled")
+        return {}
+
+    security = HTTPBearer()
+    credentials = await security(request)
+
+    if not credentials:
+        raise HTTPException(status_code=401, detail="Authorization header is missing")
+
+    try:
+        payload = parse_jwt_token(credentials.credentials)
+        request.state.user = payload
+        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

@@ -1,8 +1,5 @@
 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/logging/config.py

@@ -1,26 +1,13 @@
 """Logging module for Auto-GPT."""
 
 import logging
-import os
-import socket
 import sys
-from logging.handlers import RotatingFileHandler
 from pathlib import Path
 
 from pydantic import Field, field_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
-
 from .filters import BelowLevelFilter
-from .formatters import AGPTFormatter
-
-# Configure global socket timeout and gRPC keepalive to prevent deadlocks
-# This must be done at import time before any gRPC connections are established
-socket.setdefaulttimeout(30)  # 30-second socket timeout
-
-# Enable gRPC keepalive to detect dead connections faster
-os.environ.setdefault("GRPC_KEEPALIVE_TIME_MS", "30000")  # 30 seconds
-os.environ.setdefault("GRPC_KEEPALIVE_TIMEOUT_MS", "5000")  # 5 seconds
-os.environ.setdefault("GRPC_KEEPALIVE_PERMIT_WITHOUT_CALLS", "true")
+from .formatters import AGPTFormatter, StructuredLoggingFormatter
 
 LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
 LOG_FILE = "activity.log"
@@ -30,11 +17,12 @@ 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",
@@ -91,45 +79,46 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
     Note: This function is typically called at the start of the application
     to set up the logging infrastructure.
     """
+
     config = LoggingConfig()
+
     log_handlers: list[logging.Handler] = []
 
-    # Console output handlers
-    stdout = logging.StreamHandler(stream=sys.stdout)
-    stdout.setLevel(config.level)
-    stdout.addFilter(BelowLevelFilter(logging.WARNING))
-    if config.level == logging.DEBUG:
-        stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
-    else:
-        stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
-
-    stderr = logging.StreamHandler()
-    stderr.setLevel(logging.WARNING)
-    if config.level == logging.DEBUG:
-        stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
-    else:
-        stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
-
-    log_handlers += [stdout, stderr]
-
     # Cloud logging setup
     if config.enable_cloud_logging or force_cloud_logging:
         import google.cloud.logging
         from google.cloud.logging.handlers import CloudLoggingHandler
-        from google.cloud.logging_v2.handlers.transports import (
-            BackgroundThreadTransport,
-        )
+        from google.cloud.logging_v2.handlers.transports.sync import SyncTransport
 
         client = google.cloud.logging.Client()
-        # Use BackgroundThreadTransport to prevent blocking the main thread
-        # and deadlocks when gRPC calls to Google Cloud Logging hang
         cloud_handler = CloudLoggingHandler(
             client,
             name="autogpt_logs",
-            transport=BackgroundThreadTransport,
+            transport=SyncTransport,
         )
         cloud_handler.setLevel(config.level)
+        cloud_handler.setFormatter(StructuredLoggingFormatter())
         log_handlers.append(cloud_handler)
+        print("Cloud logging enabled")
+    else:
+        # Console output handlers
+        stdout = logging.StreamHandler(stream=sys.stdout)
+        stdout.setLevel(config.level)
+        stdout.addFilter(BelowLevelFilter(logging.WARNING))
+        if config.level == logging.DEBUG:
+            stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
+        else:
+            stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
+
+        stderr = logging.StreamHandler()
+        stderr.setLevel(logging.WARNING)
+        if config.level == logging.DEBUG:
+            stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
+        else:
+            stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
+
+        log_handlers += [stdout, stderr]
+        print("Console logging enabled")
 
     # File logging setup
     if config.enable_file_logging:
@@ -140,13 +129,8 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
         print(f"Log directory: {config.log_dir}")
 
         # Activity log handler (INFO and above)
-        # Security fix: Use RotatingFileHandler with size limits to prevent disk exhaustion
-        activity_log_handler = RotatingFileHandler(
-            config.log_dir / LOG_FILE,
-            mode="a",
-            encoding="utf-8",
-            maxBytes=10 * 1024 * 1024,  # 10MB per file
-            backupCount=3,  # Keep 3 backup files (40MB total)
+        activity_log_handler = logging.FileHandler(
+            config.log_dir / LOG_FILE, "a", "utf-8"
         )
         activity_log_handler.setLevel(config.level)
         activity_log_handler.setFormatter(
@@ -156,13 +140,8 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
 
         if config.level == logging.DEBUG:
             # Debug log handler (all levels)
-            # Security fix: Use RotatingFileHandler with size limits
-            debug_log_handler = RotatingFileHandler(
-                config.log_dir / DEBUG_LOG_FILE,
-                mode="a",
-                encoding="utf-8",
-                maxBytes=10 * 1024 * 1024,  # 10MB per file
-                backupCount=3,  # Keep 3 backup files (40MB total)
+            debug_log_handler = logging.FileHandler(
+                config.log_dir / DEBUG_LOG_FILE, "a", "utf-8"
             )
             debug_log_handler.setLevel(logging.DEBUG)
             debug_log_handler.setFormatter(
@@ -171,17 +150,13 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
             log_handlers.append(debug_log_handler)
 
         # Error log handler (ERROR and above)
-        # Security fix: Use RotatingFileHandler with size limits
-        error_log_handler = RotatingFileHandler(
-            config.log_dir / ERROR_LOG_FILE,
-            mode="a",
-            encoding="utf-8",
-            maxBytes=10 * 1024 * 1024,  # 10MB per file
-            backupCount=3,  # Keep 3 backup files (40MB total)
+        error_log_handler = logging.FileHandler(
+            config.log_dir / ERROR_LOG_FILE, "a", "utf-8"
         )
         error_log_handler.setLevel(logging.ERROR)
         error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
         log_handlers.append(error_log_handler)
+        print("File logging enabled")
 
     # Configure the root logger
     logging.basicConfig(

autogpt_platform/autogpt_libs/autogpt_libs/logging/formatters.py

@@ -1,6 +1,7 @@
 import logging
 
 from colorama import Fore, Style
+from google.cloud.logging_v2.handlers import CloudLoggingFilter, StructuredLogHandler
 
 from .utils import remove_color_codes
 
@@ -79,3 +80,16 @@ class AGPTFormatter(FancyConsoleFormatter):
             return remove_color_codes(super().format(record))
         else:
             return super().format(record)
+
+
+class StructuredLoggingFormatter(StructuredLogHandler, logging.Formatter):
+    def __init__(self):
+        # Set up CloudLoggingFilter to add diagnostic info to the log records
+        self.cloud_logging_filter = CloudLoggingFilter()
+
+        # Init StructuredLogHandler
+        super().__init__()
+
+    def format(self, record: logging.LogRecord) -> str:
+        self.cloud_logging_filter.filter(record)
+        return super().format(record)

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/logging/utils.py

@@ -1,5 +1,27 @@
+import logging
 import re
+from typing import Any
+
+from colorama import Fore
 
 
 def remove_color_codes(s: str) -> str:
     return re.sub(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])", "", s)
+
+
+def fmt_kwargs(kwargs: dict) -> str:
+    return ", ".join(f"{n}={repr(v)}" for n, v in kwargs.items())
+
+
+def print_attribute(
+    title: str, value: Any, title_color: str = Fore.GREEN, value_color: str = ""
+) -> None:
+    logger = logging.getLogger()
+    logger.info(
+        str(value),
+        extra={
+            "title": f"{title.rstrip(':')}:",
+            "title_color": title_color,
+            "color": value_color,
+        },
+    )

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/config.py

@@ -1,33 +0,0 @@
-from typing import Optional
-
-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: Optional[str] = Field(
-        default=None,
-        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

@@ -1,51 +0,0 @@
-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 | None = 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

@@ -1,32 +0,0 @@
-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/__init__.py

@@ -0,0 +1,9 @@
+from .store import SupabaseIntegrationCredentialsStore
+from .types import Credentials, APIKeyCredentials, OAuth2Credentials
+
+__all__ = [
+    "SupabaseIntegrationCredentialsStore",
+    "Credentials",
+    "APIKeyCredentials",
+    "OAuth2Credentials",
+]

autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/store.py

@@ -0,0 +1,278 @@
+import secrets
+from datetime import datetime, timedelta, timezone
+from typing import TYPE_CHECKING
+
+from pydantic import SecretStr
+
+if TYPE_CHECKING:
+    from redis import Redis
+    from backend.executor.database import DatabaseManager
+
+from autogpt_libs.utils.cache import thread_cached
+from autogpt_libs.utils.synchronize import RedisKeyedMutex
+
+from .types import (
+    APIKeyCredentials,
+    Credentials,
+    OAuth2Credentials,
+    OAuthState,
+    UserIntegrations,
+)
+
+from backend.util.settings import Settings
+
+settings = Settings()
+
+revid_credentials = APIKeyCredentials(
+    id="fdb7f412-f519-48d1-9b5f-d2f73d0e01fe",
+    provider="revid",
+    api_key=SecretStr(settings.secrets.revid_api_key),
+    title="Use Credits for Revid",
+    expires_at=None,
+)
+ideogram_credentials = APIKeyCredentials(
+    id="760f84fc-b270-42de-91f6-08efe1b512d0",
+    provider="ideogram",
+    api_key=SecretStr(settings.secrets.ideogram_api_key),
+    title="Use Credits for Ideogram",
+    expires_at=None,
+)
+replicate_credentials = APIKeyCredentials(
+    id="6b9fc200-4726-4973-86c9-cd526f5ce5db",
+    provider="replicate",
+    api_key=SecretStr(settings.secrets.replicate_api_key),
+    title="Use Credits for Replicate",
+    expires_at=None,
+)
+openai_credentials = APIKeyCredentials(
+    id="53c25cb8-e3ee-465c-a4d1-e75a4c899c2a",
+    provider="llm",
+    api_key=SecretStr(settings.secrets.openai_api_key),
+    title="Use Credits for OpenAI",
+    expires_at=None,
+)
+anthropic_credentials = APIKeyCredentials(
+    id="24e5d942-d9e3-4798-8151-90143ee55629",
+    provider="llm",
+    api_key=SecretStr(settings.secrets.anthropic_api_key),
+    title="Use Credits for Anthropic",
+    expires_at=None,
+)
+groq_credentials = APIKeyCredentials(
+    id="4ec22295-8f97-4dd1-b42b-2c6957a02545",
+    provider="llm",
+    api_key=SecretStr(settings.secrets.groq_api_key),
+    title="Use Credits for Groq",
+    expires_at=None,
+)
+did_credentials = APIKeyCredentials(
+    id="7f7b0654-c36b-4565-8fa7-9a52575dfae2",
+    provider="d_id",
+    api_key=SecretStr(settings.secrets.did_api_key),
+    title="Use Credits for D-ID",
+    expires_at=None,
+)
+
+DEFAULT_CREDENTIALS = [
+    revid_credentials,
+    ideogram_credentials,
+    replicate_credentials,
+    openai_credentials,
+    anthropic_credentials,
+    groq_credentials,
+    did_credentials,
+]
+
+
+class SupabaseIntegrationCredentialsStore:
+    def __init__(self, redis: "Redis"):
+        self.locks = RedisKeyedMutex(redis)
+
+    @property
+    @thread_cached
+    def db_manager(self) -> "DatabaseManager":
+        from backend.executor.database import DatabaseManager
+        from backend.util.service import get_service_client
+
+        return get_service_client(DatabaseManager)
+
+    def add_creds(self, user_id: str, credentials: Credentials) -> None:
+        with self.locked_user_integrations(user_id):
+            if self.get_creds_by_id(user_id, credentials.id):
+                raise ValueError(
+                    f"Can not re-create existing credentials #{credentials.id} "
+                    f"for user #{user_id}"
+                )
+            self._set_user_integration_creds(
+                user_id, [*self.get_all_creds(user_id), credentials]
+            )
+
+    def get_all_creds(self, user_id: str) -> list[Credentials]:
+        users_credentials = self._get_user_integrations(user_id).credentials
+        all_credentials = users_credentials
+        if settings.secrets.revid_api_key:
+            all_credentials.append(revid_credentials)
+        if settings.secrets.ideogram_api_key:
+            all_credentials.append(ideogram_credentials)
+        if settings.secrets.groq_api_key:
+            all_credentials.append(groq_credentials)
+        if settings.secrets.replicate_api_key:
+            all_credentials.append(replicate_credentials)
+        if settings.secrets.openai_api_key:
+            all_credentials.append(openai_credentials)
+        if settings.secrets.anthropic_api_key:
+            all_credentials.append(anthropic_credentials)
+        if settings.secrets.did_api_key:
+            all_credentials.append(did_credentials)
+        return all_credentials
+
+    def get_creds_by_id(self, user_id: str, credentials_id: str) -> Credentials | None:
+        all_credentials = self.get_all_creds(user_id)
+        return next((c for c in all_credentials if c.id == credentials_id), None)
+
+    def get_creds_by_provider(self, user_id: str, provider: str) -> list[Credentials]:
+        credentials = self.get_all_creds(user_id)
+        return [c for c in credentials if c.provider == provider]
+
+    def get_authorized_providers(self, user_id: str) -> list[str]:
+        credentials = self.get_all_creds(user_id)
+        return list(set(c.provider for c in credentials))
+
+    def update_creds(self, user_id: str, updated: Credentials) -> None:
+        with self.locked_user_integrations(user_id):
+            current = self.get_creds_by_id(user_id, updated.id)
+            if not current:
+                raise ValueError(
+                    f"Credentials with ID {updated.id} "
+                    f"for user with ID {user_id} not found"
+                )
+            if type(current) is not type(updated):
+                raise TypeError(
+                    f"Can not update credentials with ID {updated.id} "
+                    f"from type {type(current)} "
+                    f"to type {type(updated)}"
+                )
+
+            # Ensure no scopes are removed when updating credentials
+            if (
+                isinstance(updated, OAuth2Credentials)
+                and isinstance(current, OAuth2Credentials)
+                and not set(updated.scopes).issuperset(current.scopes)
+            ):
+                raise ValueError(
+                    f"Can not update credentials with ID {updated.id} "
+                    f"and scopes {current.scopes} "
+                    f"to more restrictive set of scopes {updated.scopes}"
+                )
+
+            # Update the credentials
+            updated_credentials_list = [
+                updated if c.id == updated.id else c
+                for c in self.get_all_creds(user_id)
+            ]
+            self._set_user_integration_creds(user_id, updated_credentials_list)
+
+    def delete_creds_by_id(self, user_id: str, credentials_id: str) -> None:
+        with self.locked_user_integrations(user_id):
+            filtered_credentials = [
+                c for c in self.get_all_creds(user_id) if c.id != credentials_id
+            ]
+            self._set_user_integration_creds(user_id, filtered_credentials)
+
+    def store_state_token(self, user_id: str, provider: str, scopes: list[str]) -> str:
+        token = secrets.token_urlsafe(32)
+        expires_at = datetime.now(timezone.utc) + timedelta(minutes=10)
+
+        state = OAuthState(
+            token=token,
+            provider=provider,
+            expires_at=int(expires_at.timestamp()),
+            scopes=scopes,
+        )
+
+        with self.locked_user_integrations(user_id):
+            user_integrations = self._get_user_integrations(user_id)
+            oauth_states = user_integrations.oauth_states
+            oauth_states.append(state)
+            user_integrations.oauth_states = oauth_states
+
+            self.db_manager.update_user_integrations(
+                user_id=user_id, data=user_integrations
+            )
+
+        return token
+
+    def get_any_valid_scopes_from_state_token(
+        self, user_id: str, token: str, provider: str
+    ) -> list[str]:
+        """
+        Get the valid scopes from the OAuth state token. This will return any valid scopes
+        from any OAuth state token for the given provider. If no valid scopes are found,
+        an empty list is returned. DO NOT RELY ON THIS TOKEN TO AUTHENTICATE A USER, AS IT
+        IS TO CHECK IF THE USER HAS GIVEN PERMISSIONS TO THE APPLICATION BEFORE EXCHANGING
+        THE CODE FOR TOKENS.
+        """
+        user_integrations = self._get_user_integrations(user_id)
+        oauth_states = user_integrations.oauth_states
+
+        now = datetime.now(timezone.utc)
+        valid_state = next(
+            (
+                state
+                for state in oauth_states
+                if state.token == token
+                and state.provider == provider
+                and state.expires_at > now.timestamp()
+            ),
+            None,
+        )
+
+        if valid_state:
+            return valid_state.scopes
+
+        return []
+
+    def verify_state_token(self, user_id: str, token: str, provider: str) -> bool:
+        with self.locked_user_integrations(user_id):
+            user_integrations = self._get_user_integrations(user_id)
+            oauth_states = user_integrations.oauth_states
+
+            now = datetime.now(timezone.utc)
+            valid_state = next(
+                (
+                    state
+                    for state in oauth_states
+                    if state.token == token
+                    and state.provider == provider
+                    and state.expires_at > now.timestamp()
+                ),
+                None,
+            )
+
+            if valid_state:
+                # Remove the used state
+                oauth_states.remove(valid_state)
+                user_integrations.oauth_states = oauth_states
+                self.db_manager.update_user_integrations(user_id, user_integrations)
+                return True
+
+        return False
+
+    def _set_user_integration_creds(
+        self, user_id: str, credentials: list[Credentials]
+    ) -> None:
+        integrations = self._get_user_integrations(user_id)
+        # Remove default credentials from the list
+        credentials = [c for c in credentials if c not in DEFAULT_CREDENTIALS]
+        integrations.credentials = credentials
+        self.db_manager.update_user_integrations(user_id, integrations)
+
+    def _get_user_integrations(self, user_id: str) -> UserIntegrations:
+        integrations: UserIntegrations = self.db_manager.get_user_integrations(
+            user_id=user_id
+        )
+        return integrations
+
+    def locked_user_integrations(self, user_id: str):
+        key = (self.db_manager, f"user:{user_id}", "integrations")
+        return self.locks.locked(key)

autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/types.py

@@ -56,7 +56,6 @@ 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"""
 

autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py

@@ -1,339 +1,20 @@
-import asyncio
-import inspect
-import logging
+from typing import Callable, TypeVar, ParamSpec
 import threading
-import time
-from functools import wraps
-from typing import (
-    Any,
-    Callable,
-    ParamSpec,
-    Protocol,
-    TypeVar,
-    cast,
-    runtime_checkable,
-)
 
 P = ParamSpec("P")
 R = TypeVar("R")
-R_co = TypeVar("R_co", covariant=True)
-
-logger = logging.getLogger(__name__)
 
 
-def _make_hashable_key(
-    args: tuple[Any, ...], kwargs: dict[str, Any]
-) -> tuple[Any, ...]:
-    """
-    Convert args and kwargs into a hashable cache key.
-
-    Handles unhashable types like dict, list, set by converting them to
-    their sorted string representations.
-    """
-
-    def make_hashable(obj: Any) -> Any:
-        """Recursively convert an object to a hashable representation."""
-        if isinstance(obj, dict):
-            # Sort dict items to ensure consistent ordering
-            return (
-                "__dict__",
-                tuple(sorted((k, make_hashable(v)) for k, v in obj.items())),
-            )
-        elif isinstance(obj, (list, tuple)):
-            return ("__list__", tuple(make_hashable(item) for item in obj))
-        elif isinstance(obj, set):
-            return ("__set__", tuple(sorted(make_hashable(item) for item in obj)))
-        elif hasattr(obj, "__dict__"):
-            # Handle objects with __dict__ attribute
-            return ("__obj__", obj.__class__.__name__, make_hashable(obj.__dict__))
-        else:
-            # For basic hashable types (str, int, bool, None, etc.)
-            try:
-                hash(obj)
-                return obj
-            except TypeError:
-                # Fallback: convert to string representation
-                return ("__str__", str(obj))
-
-    hashable_args = tuple(make_hashable(arg) for arg in args)
-    hashable_kwargs = tuple(sorted((k, make_hashable(v)) for k, v in kwargs.items()))
-    return (hashable_args, hashable_kwargs)
-
-
-@runtime_checkable
-class CachedFunction(Protocol[P, R_co]):
-    """Protocol for cached functions with cache management methods."""
-
-    def cache_clear(self) -> None:
-        """Clear all cached entries."""
-        return None
-
-    def cache_info(self) -> dict[str, int | None]:
-        """Get cache statistics."""
-        return {}
-
-    def cache_delete(self, *args: P.args, **kwargs: P.kwargs) -> bool:
-        """Delete a specific cache entry by its arguments. Returns True if entry existed."""
-        return False
-
-    def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co:
-        """Call the cached function."""
-        return None  # type: ignore
-
-
-def cached(
-    *,
-    maxsize: int = 128,
-    ttl_seconds: int | None = None,
-) -> Callable[[Callable], CachedFunction]:
-    """
-    Thundering herd safe cache decorator for both sync and async functions.
-
-    Uses double-checked locking to prevent multiple threads/coroutines from
-    executing the expensive operation simultaneously during cache misses.
-
-    Args:
-        func: The function to cache (when used without parentheses)
-        maxsize: Maximum number of cached entries
-        ttl_seconds: Time to live in seconds. If None, entries never expire
-
-    Returns:
-        Decorated function or decorator
-
-    Example:
-        @cache()  # Default: maxsize=128, no TTL
-        def expensive_sync_operation(param: str) -> dict:
-            return {"result": param}
-
-        @cache()  # Works with async too
-        async def expensive_async_operation(param: str) -> dict:
-            return {"result": param}
-
-        @cache(maxsize=1000, ttl_seconds=300)  # Custom maxsize and TTL
-        def another_operation(param: str) -> dict:
-            return {"result": param}
-    """
-
-    def decorator(target_func):
-        # Cache storage and per-event-loop locks
-        cache_storage = {}
-        _event_loop_locks = {}  # Maps event loop to its asyncio.Lock
-
-        if inspect.iscoroutinefunction(target_func):
-
-            def _get_cache_lock():
-                """Get or create an asyncio.Lock for the current event loop."""
-                try:
-                    loop = asyncio.get_running_loop()
-                except RuntimeError:
-                    # No event loop, use None as default key
-                    loop = None
-
-                if loop not in _event_loop_locks:
-                    return _event_loop_locks.setdefault(loop, asyncio.Lock())
-                return _event_loop_locks[loop]
-
-            @wraps(target_func)
-            async def async_wrapper(*args: P.args, **kwargs: P.kwargs):
-                key = _make_hashable_key(args, kwargs)
-                current_time = time.time()
-
-                # Fast path: check cache without lock
-                if key in cache_storage:
-                    if ttl_seconds is None:
-                        logger.debug(f"Cache hit for {target_func.__name__}")
-                        return cache_storage[key]
-                    else:
-                        cached_data = cache_storage[key]
-                        if isinstance(cached_data, tuple):
-                            result, timestamp = cached_data
-                            if current_time - timestamp < ttl_seconds:
-                                logger.debug(f"Cache hit for {target_func.__name__}")
-                                return result
-
-                # Slow path: acquire lock for cache miss/expiry
-                async with _get_cache_lock():
-                    # Double-check: another coroutine might have populated cache
-                    if key in cache_storage:
-                        if ttl_seconds is None:
-                            return cache_storage[key]
-                        else:
-                            cached_data = cache_storage[key]
-                            if isinstance(cached_data, tuple):
-                                result, timestamp = cached_data
-                                if current_time - timestamp < ttl_seconds:
-                                    return result
-
-                    # Cache miss - execute function
-                    logger.debug(f"Cache miss for {target_func.__name__}")
-                    result = await target_func(*args, **kwargs)
-
-                    # Store result
-                    if ttl_seconds is None:
-                        cache_storage[key] = result
-                    else:
-                        cache_storage[key] = (result, current_time)
-
-                    # Cleanup if needed
-                    if len(cache_storage) > maxsize:
-                        cutoff = maxsize // 2
-                        oldest_keys = (
-                            list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
-                        )
-                        for old_key in oldest_keys:
-                            cache_storage.pop(old_key, None)
-
-                    return result
-
-            wrapper = async_wrapper
-
-        else:
-            # Sync function with threading.Lock
-            cache_lock = threading.Lock()
-
-            @wraps(target_func)
-            def sync_wrapper(*args: P.args, **kwargs: P.kwargs):
-                key = _make_hashable_key(args, kwargs)
-                current_time = time.time()
-
-                # Fast path: check cache without lock
-                if key in cache_storage:
-                    if ttl_seconds is None:
-                        logger.debug(f"Cache hit for {target_func.__name__}")
-                        return cache_storage[key]
-                    else:
-                        cached_data = cache_storage[key]
-                        if isinstance(cached_data, tuple):
-                            result, timestamp = cached_data
-                            if current_time - timestamp < ttl_seconds:
-                                logger.debug(f"Cache hit for {target_func.__name__}")
-                                return result
-
-                # Slow path: acquire lock for cache miss/expiry
-                with cache_lock:
-                    # Double-check: another thread might have populated cache
-                    if key in cache_storage:
-                        if ttl_seconds is None:
-                            return cache_storage[key]
-                        else:
-                            cached_data = cache_storage[key]
-                            if isinstance(cached_data, tuple):
-                                result, timestamp = cached_data
-                                if current_time - timestamp < ttl_seconds:
-                                    return result
-
-                    # Cache miss - execute function
-                    logger.debug(f"Cache miss for {target_func.__name__}")
-                    result = target_func(*args, **kwargs)
-
-                    # Store result
-                    if ttl_seconds is None:
-                        cache_storage[key] = result
-                    else:
-                        cache_storage[key] = (result, current_time)
-
-                    # Cleanup if needed
-                    if len(cache_storage) > maxsize:
-                        cutoff = maxsize // 2
-                        oldest_keys = (
-                            list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
-                        )
-                        for old_key in oldest_keys:
-                            cache_storage.pop(old_key, None)
-
-                    return result
-
-            wrapper = sync_wrapper
-
-        # Add cache management methods
-        def cache_clear() -> None:
-            cache_storage.clear()
-
-        def cache_info() -> dict[str, int | None]:
-            return {
-                "size": len(cache_storage),
-                "maxsize": maxsize,
-                "ttl_seconds": ttl_seconds,
-            }
-
-        def cache_delete(*args, **kwargs) -> bool:
-            """Delete a specific cache entry. Returns True if entry existed."""
-            key = _make_hashable_key(args, kwargs)
-            if key in cache_storage:
-                del cache_storage[key]
-                return True
-            return False
-
-        setattr(wrapper, "cache_clear", cache_clear)
-        setattr(wrapper, "cache_info", cache_info)
-        setattr(wrapper, "cache_delete", cache_delete)
-
-        return cast(CachedFunction, wrapper)
-
-    return decorator
-
-
-def thread_cached(func):
-    """
-    Thread-local cache decorator for both sync and async functions.
-
-    Each thread gets its own cache, which is useful for request-scoped caching
-    in web applications where you want to cache within a single request but
-    not across requests.
-
-    Args:
-        func: The function to cache
-
-    Returns:
-        Decorated function with thread-local caching
-
-    Example:
-        @thread_cached
-        def expensive_operation(param: str) -> dict:
-            return {"result": param}
-
-        @thread_cached  # Works with async too
-        async def expensive_async_operation(param: str) -> dict:
-            return {"result": param}
-    """
+def thread_cached(func: Callable[P, R]) -> Callable[P, R]:
     thread_local = threading.local()
 
-    def _clear():
-        if hasattr(thread_local, "cache"):
-            del thread_local.cache
+    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]
 
-    if inspect.iscoroutinefunction(func):
-
-        @wraps(func)
-        async def async_wrapper(*args, **kwargs):
-            cache = getattr(thread_local, "cache", None)
-            if cache is None:
-                cache = thread_local.cache = {}
-            key = _make_hashable_key(args, kwargs)
-            if key not in cache:
-                cache[key] = await func(*args, **kwargs)
-            return cache[key]
-
-        setattr(async_wrapper, "clear_cache", _clear)
-        return async_wrapper
-
-    else:
-
-        @wraps(func)
-        def sync_wrapper(*args, **kwargs):
-            cache = getattr(thread_local, "cache", None)
-            if cache is None:
-                cache = thread_local.cache = {}
-            key = _make_hashable_key(args, kwargs)
-            if key not in cache:
-                cache[key] = func(*args, **kwargs)
-            return cache[key]
-
-        setattr(sync_wrapper, "clear_cache", _clear)
-        return sync_wrapper
-
-
-def clear_thread_cache(func: Callable) -> None:
-    """Clear thread-local cache for a function."""
-    if clear := getattr(func, "clear_cache", None):
-        clear()
+    return wrapper

autogpt_platform/autogpt_libs/autogpt_libs/utils/cache_test.py

@@ -1,676 +0,0 @@
-"""Tests for the @thread_cached decorator.
-
-This module tests the thread-local caching functionality including:
-- Basic caching for sync and async functions
-- Thread isolation (each thread has its own cache)
-- Cache clearing functionality
-- Exception handling (exceptions are not cached)
-- Argument handling (positional vs keyword arguments)
-"""
-
-import asyncio
-import threading
-import time
-from concurrent.futures import ThreadPoolExecutor
-from unittest.mock import Mock
-
-import pytest
-
-from autogpt_libs.utils.cache import cached, clear_thread_cache, thread_cached
-
-
-class TestThreadCached:
-    def test_sync_function_caching(self):
-        call_count = 0
-
-        @thread_cached
-        def expensive_function(x: int, y: int = 0) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x + y
-
-        assert expensive_function(1, 2) == 3
-        assert call_count == 1
-
-        assert expensive_function(1, 2) == 3
-        assert call_count == 1
-
-        assert expensive_function(1, y=2) == 3
-        assert call_count == 2
-
-        assert expensive_function(2, 3) == 5
-        assert call_count == 3
-
-        assert expensive_function(1) == 1
-        assert call_count == 4
-
-    @pytest.mark.asyncio
-    async def test_async_function_caching(self):
-        call_count = 0
-
-        @thread_cached
-        async def expensive_async_function(x: int, y: int = 0) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return x + y
-
-        assert await expensive_async_function(1, 2) == 3
-        assert call_count == 1
-
-        assert await expensive_async_function(1, 2) == 3
-        assert call_count == 1
-
-        assert await expensive_async_function(1, y=2) == 3
-        assert call_count == 2
-
-        assert await expensive_async_function(2, 3) == 5
-        assert call_count == 3
-
-    def test_thread_isolation(self):
-        call_count = 0
-        results = {}
-
-        @thread_cached
-        def thread_specific_function(x: int) -> str:
-            nonlocal call_count
-            call_count += 1
-            return f"{threading.current_thread().name}-{x}"
-
-        def worker(thread_id: int):
-            result1 = thread_specific_function(1)
-            result2 = thread_specific_function(1)
-            result3 = thread_specific_function(2)
-            results[thread_id] = (result1, result2, result3)
-
-        with ThreadPoolExecutor(max_workers=3) as executor:
-            futures = [executor.submit(worker, i) for i in range(3)]
-            for future in futures:
-                future.result()
-
-        assert call_count >= 2
-
-        for thread_id, (r1, r2, r3) in results.items():
-            assert r1 == r2
-            assert r1 != r3
-
-    @pytest.mark.asyncio
-    async def test_async_thread_isolation(self):
-        call_count = 0
-        results = {}
-
-        @thread_cached
-        async def async_thread_specific_function(x: int) -> str:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return f"{threading.current_thread().name}-{x}"
-
-        async def async_worker(worker_id: int):
-            result1 = await async_thread_specific_function(1)
-            result2 = await async_thread_specific_function(1)
-            result3 = await async_thread_specific_function(2)
-            results[worker_id] = (result1, result2, result3)
-
-        tasks = [async_worker(i) for i in range(3)]
-        await asyncio.gather(*tasks)
-
-        for worker_id, (r1, r2, r3) in results.items():
-            assert r1 == r2
-            assert r1 != r3
-
-    def test_clear_cache_sync(self):
-        call_count = 0
-
-        @thread_cached
-        def clearable_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x * 2
-
-        assert clearable_function(5) == 10
-        assert call_count == 1
-
-        assert clearable_function(5) == 10
-        assert call_count == 1
-
-        clear_thread_cache(clearable_function)
-
-        assert clearable_function(5) == 10
-        assert call_count == 2
-
-    @pytest.mark.asyncio
-    async def test_clear_cache_async(self):
-        call_count = 0
-
-        @thread_cached
-        async def clearable_async_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return x * 2
-
-        assert await clearable_async_function(5) == 10
-        assert call_count == 1
-
-        assert await clearable_async_function(5) == 10
-        assert call_count == 1
-
-        clear_thread_cache(clearable_async_function)
-
-        assert await clearable_async_function(5) == 10
-        assert call_count == 2
-
-    def test_simple_arguments(self):
-        call_count = 0
-
-        @thread_cached
-        def simple_function(a: str, b: int, c: str = "default") -> str:
-            nonlocal call_count
-            call_count += 1
-            return f"{a}-{b}-{c}"
-
-        # First call with all positional args
-        result1 = simple_function("test", 42, "custom")
-        assert call_count == 1
-
-        # Same args, all positional - should hit cache
-        result2 = simple_function("test", 42, "custom")
-        assert call_count == 1
-        assert result1 == result2
-
-        # Same values but last arg as keyword - creates different cache key
-        result3 = simple_function("test", 42, c="custom")
-        assert call_count == 2
-        assert result1 == result3  # Same result, different cache entry
-
-        # Different value - new cache entry
-        result4 = simple_function("test", 43, "custom")
-        assert call_count == 3
-        assert result1 != result4
-
-    def test_positional_vs_keyword_args(self):
-        """Test that positional and keyword arguments create different cache entries."""
-        call_count = 0
-
-        @thread_cached
-        def func(a: int, b: int = 10) -> str:
-            nonlocal call_count
-            call_count += 1
-            return f"result-{a}-{b}"
-
-        # All positional
-        result1 = func(1, 2)
-        assert call_count == 1
-        assert result1 == "result-1-2"
-
-        # Same values, but second arg as keyword
-        result2 = func(1, b=2)
-        assert call_count == 2  # Different cache key!
-        assert result2 == "result-1-2"  # Same result
-
-        # Verify both are cached separately
-        func(1, 2)  # Uses first cache entry
-        assert call_count == 2
-
-        func(1, b=2)  # Uses second cache entry
-        assert call_count == 2
-
-    def test_exception_handling(self):
-        call_count = 0
-
-        @thread_cached
-        def failing_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            if x < 0:
-                raise ValueError("Negative value")
-            return x * 2
-
-        assert failing_function(5) == 10
-        assert call_count == 1
-
-        with pytest.raises(ValueError):
-            failing_function(-1)
-        assert call_count == 2
-
-        with pytest.raises(ValueError):
-            failing_function(-1)
-        assert call_count == 3
-
-        assert failing_function(5) == 10
-        assert call_count == 3
-
-    @pytest.mark.asyncio
-    async def test_async_exception_handling(self):
-        call_count = 0
-
-        @thread_cached
-        async def async_failing_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            if x < 0:
-                raise ValueError("Negative value")
-            return x * 2
-
-        assert await async_failing_function(5) == 10
-        assert call_count == 1
-
-        with pytest.raises(ValueError):
-            await async_failing_function(-1)
-        assert call_count == 2
-
-        with pytest.raises(ValueError):
-            await async_failing_function(-1)
-        assert call_count == 3
-
-    def test_sync_caching_performance(self):
-        @thread_cached
-        def slow_function(x: int) -> int:
-            print(f"slow_function called with x={x}")
-            time.sleep(0.1)
-            return x * 2
-
-        start = time.time()
-        result1 = slow_function(5)
-        first_call_time = time.time() - start
-        print(f"First call took {first_call_time:.4f} seconds")
-
-        start = time.time()
-        result2 = slow_function(5)
-        second_call_time = time.time() - start
-        print(f"Second call took {second_call_time:.4f} seconds")
-
-        assert result1 == result2 == 10
-        assert first_call_time > 0.09
-        assert second_call_time < 0.01
-
-    @pytest.mark.asyncio
-    async def test_async_caching_performance(self):
-        @thread_cached
-        async def slow_async_function(x: int) -> int:
-            print(f"slow_async_function called with x={x}")
-            await asyncio.sleep(0.1)
-            return x * 2
-
-        start = time.time()
-        result1 = await slow_async_function(5)
-        first_call_time = time.time() - start
-        print(f"First async call took {first_call_time:.4f} seconds")
-
-        start = time.time()
-        result2 = await slow_async_function(5)
-        second_call_time = time.time() - start
-        print(f"Second async call took {second_call_time:.4f} seconds")
-
-        assert result1 == result2 == 10
-        assert first_call_time > 0.09
-        assert second_call_time < 0.01
-
-    def test_with_mock_objects(self):
-        mock = Mock(return_value=42)
-
-        @thread_cached
-        def function_using_mock(x: int) -> int:
-            return mock(x)
-
-        assert function_using_mock(1) == 42
-        assert mock.call_count == 1
-
-        assert function_using_mock(1) == 42
-        assert mock.call_count == 1
-
-        assert function_using_mock(2) == 42
-        assert mock.call_count == 2
-
-
-class TestCache:
-    """Tests for the unified @cache decorator (works for both sync and async)."""
-
-    def test_basic_sync_caching(self):
-        """Test basic sync caching functionality."""
-        call_count = 0
-
-        @cached()
-        def expensive_sync_function(x: int, y: int = 0) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x + y
-
-        # First call
-        result1 = expensive_sync_function(1, 2)
-        assert result1 == 3
-        assert call_count == 1
-
-        # Second call with same args - should use cache
-        result2 = expensive_sync_function(1, 2)
-        assert result2 == 3
-        assert call_count == 1
-
-        # Different args - should call function again
-        result3 = expensive_sync_function(2, 3)
-        assert result3 == 5
-        assert call_count == 2
-
-    @pytest.mark.asyncio
-    async def test_basic_async_caching(self):
-        """Test basic async caching functionality."""
-        call_count = 0
-
-        @cached()
-        async def expensive_async_function(x: int, y: int = 0) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)  # Simulate async work
-            return x + y
-
-        # First call
-        result1 = await expensive_async_function(1, 2)
-        assert result1 == 3
-        assert call_count == 1
-
-        # Second call with same args - should use cache
-        result2 = await expensive_async_function(1, 2)
-        assert result2 == 3
-        assert call_count == 1
-
-        # Different args - should call function again
-        result3 = await expensive_async_function(2, 3)
-        assert result3 == 5
-        assert call_count == 2
-
-    def test_sync_thundering_herd_protection(self):
-        """Test that concurrent sync calls don't cause thundering herd."""
-        call_count = 0
-        results = []
-
-        @cached()
-        def slow_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            time.sleep(0.1)  # Simulate expensive operation
-            return x * x
-
-        def worker():
-            result = slow_function(5)
-            results.append(result)
-
-        # Launch multiple concurrent threads
-        with ThreadPoolExecutor(max_workers=5) as executor:
-            futures = [executor.submit(worker) for _ in range(5)]
-            for future in futures:
-                future.result()
-
-        # All results should be the same
-        assert all(result == 25 for result in results)
-        # Only one thread should have executed the expensive operation
-        assert call_count == 1
-
-    @pytest.mark.asyncio
-    async def test_async_thundering_herd_protection(self):
-        """Test that concurrent async calls don't cause thundering herd."""
-        call_count = 0
-
-        @cached()
-        async def slow_async_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.1)  # Simulate expensive operation
-            return x * x
-
-        # Launch concurrent coroutines
-        tasks = [slow_async_function(7) for _ in range(5)]
-        results = await asyncio.gather(*tasks)
-
-        # All results should be the same
-        assert all(result == 49 for result in results)
-        # Only one coroutine should have executed the expensive operation
-        assert call_count == 1
-
-    def test_ttl_functionality(self):
-        """Test TTL functionality with sync function."""
-        call_count = 0
-
-        @cached(maxsize=10, ttl_seconds=1)  # Short TTL
-        def ttl_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x * 3
-
-        # First call
-        result1 = ttl_function(3)
-        assert result1 == 9
-        assert call_count == 1
-
-        # Second call immediately - should use cache
-        result2 = ttl_function(3)
-        assert result2 == 9
-        assert call_count == 1
-
-        # Wait for TTL to expire
-        time.sleep(1.1)
-
-        # Third call after expiration - should call function again
-        result3 = ttl_function(3)
-        assert result3 == 9
-        assert call_count == 2
-
-    @pytest.mark.asyncio
-    async def test_async_ttl_functionality(self):
-        """Test TTL functionality with async function."""
-        call_count = 0
-
-        @cached(maxsize=10, ttl_seconds=1)  # Short TTL
-        async def async_ttl_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return x * 4
-
-        # First call
-        result1 = await async_ttl_function(3)
-        assert result1 == 12
-        assert call_count == 1
-
-        # Second call immediately - should use cache
-        result2 = await async_ttl_function(3)
-        assert result2 == 12
-        assert call_count == 1
-
-        # Wait for TTL to expire
-        await asyncio.sleep(1.1)
-
-        # Third call after expiration - should call function again
-        result3 = await async_ttl_function(3)
-        assert result3 == 12
-        assert call_count == 2
-
-    def test_cache_info(self):
-        """Test cache info functionality."""
-
-        @cached(maxsize=10, ttl_seconds=60)
-        def info_test_function(x: int) -> int:
-            return x * 3
-
-        # Check initial cache info
-        info = info_test_function.cache_info()
-        assert info["size"] == 0
-        assert info["maxsize"] == 10
-        assert info["ttl_seconds"] == 60
-
-        # Add an entry
-        info_test_function(1)
-        info = info_test_function.cache_info()
-        assert info["size"] == 1
-
-    def test_cache_clear(self):
-        """Test cache clearing functionality."""
-        call_count = 0
-
-        @cached()
-        def clearable_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x * 4
-
-        # First call
-        result1 = clearable_function(2)
-        assert result1 == 8
-        assert call_count == 1
-
-        # Second call - should use cache
-        result2 = clearable_function(2)
-        assert result2 == 8
-        assert call_count == 1
-
-        # Clear cache
-        clearable_function.cache_clear()
-
-        # Third call after clear - should call function again
-        result3 = clearable_function(2)
-        assert result3 == 8
-        assert call_count == 2
-
-    @pytest.mark.asyncio
-    async def test_async_cache_clear(self):
-        """Test cache clearing functionality with async function."""
-        call_count = 0
-
-        @cached()
-        async def async_clearable_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return x * 5
-
-        # First call
-        result1 = await async_clearable_function(2)
-        assert result1 == 10
-        assert call_count == 1
-
-        # Second call - should use cache
-        result2 = await async_clearable_function(2)
-        assert result2 == 10
-        assert call_count == 1
-
-        # Clear cache
-        async_clearable_function.cache_clear()
-
-        # Third call after clear - should call function again
-        result3 = await async_clearable_function(2)
-        assert result3 == 10
-        assert call_count == 2
-
-    @pytest.mark.asyncio
-    async def test_async_function_returns_results_not_coroutines(self):
-        """Test that cached async functions return actual results, not coroutines."""
-        call_count = 0
-
-        @cached()
-        async def async_result_function(x: int) -> str:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return f"result_{x}"
-
-        # First call
-        result1 = await async_result_function(1)
-        assert result1 == "result_1"
-        assert isinstance(result1, str)  # Should be string, not coroutine
-        assert call_count == 1
-
-        # Second call - should return cached result (string), not coroutine
-        result2 = await async_result_function(1)
-        assert result2 == "result_1"
-        assert isinstance(result2, str)  # Should be string, not coroutine
-        assert call_count == 1  # Function should not be called again
-
-        # Verify results are identical
-        assert result1 is result2  # Should be same cached object
-
-    def test_cache_delete(self):
-        """Test selective cache deletion functionality."""
-        call_count = 0
-
-        @cached()
-        def deletable_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            return x * 6
-
-        # First call for x=1
-        result1 = deletable_function(1)
-        assert result1 == 6
-        assert call_count == 1
-
-        # First call for x=2
-        result2 = deletable_function(2)
-        assert result2 == 12
-        assert call_count == 2
-
-        # Second calls - should use cache
-        assert deletable_function(1) == 6
-        assert deletable_function(2) == 12
-        assert call_count == 2
-
-        # Delete specific entry for x=1
-        was_deleted = deletable_function.cache_delete(1)
-        assert was_deleted is True
-
-        # Call with x=1 should execute function again
-        result3 = deletable_function(1)
-        assert result3 == 6
-        assert call_count == 3
-
-        # Call with x=2 should still use cache
-        assert deletable_function(2) == 12
-        assert call_count == 3
-
-        # Try to delete non-existent entry
-        was_deleted = deletable_function.cache_delete(99)
-        assert was_deleted is False
-
-    @pytest.mark.asyncio
-    async def test_async_cache_delete(self):
-        """Test selective cache deletion functionality with async function."""
-        call_count = 0
-
-        @cached()
-        async def async_deletable_function(x: int) -> int:
-            nonlocal call_count
-            call_count += 1
-            await asyncio.sleep(0.01)
-            return x * 7
-
-        # First call for x=1
-        result1 = await async_deletable_function(1)
-        assert result1 == 7
-        assert call_count == 1
-
-        # First call for x=2
-        result2 = await async_deletable_function(2)
-        assert result2 == 14
-        assert call_count == 2
-
-        # Second calls - should use cache
-        assert await async_deletable_function(1) == 7
-        assert await async_deletable_function(2) == 14
-        assert call_count == 2
-
-        # Delete specific entry for x=1
-        was_deleted = async_deletable_function.cache_delete(1)
-        assert was_deleted is True
-
-        # Call with x=1 should execute function again
-        result3 = await async_deletable_function(1)
-        assert result3 == 7
-        assert call_count == 3
-
-        # Call with x=2 should still use cache
-        assert await async_deletable_function(2) == 14
-        assert call_count == 3
-
-        # Try to delete non-existent entry
-        was_deleted = async_deletable_function.cache_delete(99)
-        assert was_deleted is False

autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py

@@ -1,15 +1,15 @@
-import asyncio
-from contextlib import asynccontextmanager
+from contextlib import contextmanager
+from threading import Lock
 from typing import TYPE_CHECKING, Any
 
 from expiringdict import ExpiringDict
 
 if TYPE_CHECKING:
-    from redis.asyncio import Redis as AsyncRedis
-    from redis.asyncio.lock import Lock as AsyncRedisLock
+    from redis import Redis
+    from redis.lock import Lock as RedisLock
 
 
-class AsyncRedisKeyedMutex:
+class RedisKeyedMutex:
     """
     This class provides a mutex that can be locked and unlocked by a specific key,
     using Redis as a distributed locking provider.
@@ -17,45 +17,40 @@ class AsyncRedisKeyedMutex:
     in case the key is not unlocked for a specified duration, to prevent memory leaks.
     """
 
-    def __init__(self, redis: "AsyncRedis", timeout: int | None = 60):
+    def __init__(self, redis: "Redis", timeout: int | None = 60):
         self.redis = redis
         self.timeout = timeout
-        self.locks: dict[Any, "AsyncRedisLock"] = ExpiringDict(
+        self.locks: dict[Any, "RedisLock"] = ExpiringDict(
             max_len=6000, max_age_seconds=self.timeout
         )
-        self.locks_lock = asyncio.Lock()
+        self.locks_lock = Lock()
 
-    @asynccontextmanager
-    async def locked(self, key: Any):
-        lock = await self.acquire(key)
+    @contextmanager
+    def locked(self, key: Any):
+        lock = self.acquire(key)
         try:
             yield
         finally:
-            if (await lock.locked()) and (await lock.owned()):
-                await lock.release()
+            lock.release()
 
-    async def acquire(self, key: Any) -> "AsyncRedisLock":
+    def acquire(self, key: Any) -> "RedisLock":
         """Acquires and returns a lock with the given key"""
-        async with self.locks_lock:
+        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]
-        await lock.acquire()
+        lock.acquire()
         return lock
 
-    async def release(self, key: Any):
-        if (
-            (lock := self.locks.get(key))
-            and (await lock.locked())
-            and (await lock.owned())
-        ):
-            await lock.release()
+    def release(self, key: Any):
+        if lock := self.locks.get(key):
+            lock.release()
 
-    async def release_all_locks(self):
+    def release_all_locks(self):
         """Call this on process termination to ensure all locks are released"""
-        async with self.locks_lock:
-            for lock in self.locks.values():
-                if (await lock.locked()) and (await lock.owned()):
-                    await lock.release()
+        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

@@ -1,40 +1,25 @@
 [tool.poetry]
 name = "autogpt-libs"
 version = "0.2.0"
-description = "Shared libraries across AutoGPT Platform"
-authors = ["AutoGPT team <info@agpt.co>"]
+description = "Shared libraries across NextGen AutoGPT"
+authors = ["Aarushi <aarushik93@gmail.com>"]
 readme = "README.md"
 packages = [{ include = "autogpt_libs" }]
 
 [tool.poetry.dependencies]
-python = ">=3.10,<4.0"
 colorama = "^0.4.6"
-cryptography = "^45.0"
 expiringdict = "^1.2.2"
-fastapi = "^0.116.1"
-google-cloud-logging = "^3.12.1"
-launchdarkly-server-sdk = "^9.12.0"
-pydantic = "^2.11.7"
-pydantic-settings = "^2.10.1"
-pyjwt = { version = "^2.10.1", extras = ["crypto"] }
-redis = "^6.2.0"
-supabase = "^2.16.0"
-uvicorn = "^0.35.0"
+google-cloud-logging = "^3.11.3"
+pydantic = "^2.9.2"
+pydantic-settings = "^2.6.1"
+pyjwt = "^2.8.0"
+python = ">=3.10,<4.0"
+python-dotenv = "^1.0.1"
+supabase = "^2.9.1"
 
 [tool.poetry.group.dev.dependencies]
-pyright = "^1.1.404"
-pytest = "^8.4.1"
-pytest-asyncio = "^1.1.0"
-pytest-mock = "^3.14.1"
-pytest-cov = "^6.2.1"
-ruff = "^0.12.11"
+redis = "^5.2.0"
 
 [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/.dockerignore

@@ -1,52 +0,0 @@
-# Development and testing files
-**/__pycache__
-**/*.pyc
-**/*.pyo
-**/*.pyd
-**/.Python
-**/env/
-**/venv/
-**/.venv/
-**/pip-log.txt
-**/.pytest_cache/
-**/test-results/
-**/snapshots/
-**/test/
-
-# IDE and editor files
-**/.vscode/
-**/.idea/
-**/*.swp
-**/*.swo
-*~
-
-# OS files
-.DS_Store
-Thumbs.db
-
-# Logs
-**/*.log
-**/logs/
-
-# Git
-.git/
-.gitignore
-
-# Documentation
-**/*.md
-!README.md
-
-# Local development files
-.env
-.env.local
-**/.env.test
-
-# Build artifacts
-**/dist/
-**/build/
-**/target/
-
-# Docker files (avoid recursion)
-Dockerfile*
-docker-compose*
-.dockerignore

autogpt_platform/backend/.env.default

@@ -1,182 +0,0 @@
-# Backend Configuration
-# This file contains environment variables that MUST be set for the AutoGPT platform
-# Variables with working defaults in settings.py are not included here
-
-## ===== REQUIRED DATABASE CONFIGURATION ===== ##
-# PostgreSQL Database Connection
-DB_USER=postgres
-DB_PASS=your-super-secret-and-long-postgres-password
-DB_NAME=postgres
-DB_PORT=5432
-DB_HOST=localhost
-DB_CONNECTION_LIMIT=12
-DB_CONNECT_TIMEOUT=60
-DB_POOL_TIMEOUT=300
-DB_SCHEMA=platform
-DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
-DIRECT_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
-PRISMA_SCHEMA="postgres/schema.prisma"
-
-## ===== REQUIRED SERVICE CREDENTIALS ===== ##
-# Redis Configuration
-REDIS_HOST=localhost
-REDIS_PORT=6379
-# REDIS_PASSWORD=
-
-# RabbitMQ Credentials
-RABBITMQ_DEFAULT_USER=rabbitmq_user_default
-RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
-
-# Supabase Authentication
-SUPABASE_URL=http://localhost:8000
-SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
-JWT_VERIFY_KEY=your-super-secret-jwt-token-with-at-least-32-characters-long
-
-## ===== REQUIRED SECURITY KEYS ===== ##
-# Generate using: from cryptography.fernet import Fernet;Fernet.generate_key().decode()
-ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=
-UNSUBSCRIBE_SECRET_KEY=HlP8ivStJjmbf6NKi78m_3FnOogut0t5ckzjsIqeaio=
-
-## ===== IMPORTANT OPTIONAL CONFIGURATION ===== ##
-# Platform URLs (set these for webhooks and OAuth to work)
-PLATFORM_BASE_URL=http://localhost:8000
-FRONTEND_BASE_URL=http://localhost:3000
-
-# Media Storage (required for marketplace and library functionality)
-MEDIA_GCS_BUCKET_NAME=
-
-## ===== API KEYS AND OAUTH CREDENTIALS ===== ##
-# All API keys below are optional - only add what you need
-
-# AI/LLM Services
-OPENAI_API_KEY=
-ANTHROPIC_API_KEY=
-GROQ_API_KEY=
-LLAMA_API_KEY=
-AIML_API_KEY=
-V0_API_KEY=
-OPEN_ROUTER_API_KEY=
-NVIDIA_API_KEY=
-
-# OAuth Credentials
-# 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=
-
-# Notion OAuth App server credentials - https://developers.notion.com/docs/authorization
-# Configure a public integration
-NOTION_CLIENT_ID=
-NOTION_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=
-
-NOTION_CLIENT_ID=
-NOTION_CLIENT_SECRET=
-
-# Discord OAuth App credentials
-# 1. Go to https://discord.com/developers/applications
-# 2. Create a new application
-# 3. Go to OAuth2 section and add redirect URI: http://localhost:3000/auth/integrations/oauth_callback
-# 4. Copy Client ID and Client Secret below
-DISCORD_CLIENT_ID=
-DISCORD_CLIENT_SECRET=
-
-REDDIT_CLIENT_ID=
-REDDIT_CLIENT_SECRET=
-
-# Payment Processing
-STRIPE_API_KEY=
-STRIPE_WEBHOOK_SECRET=
-
-# Email Service (for sending notifications and confirmations)
-POSTMARK_SERVER_API_TOKEN=
-POSTMARK_SENDER_EMAIL=invalid@invalid.com
-POSTMARK_WEBHOOK_TOKEN=
-
-# Error Tracking
-SENTRY_DSN=
-
-# Cloudflare Turnstile (CAPTCHA) Configuration
-# Get these from the Cloudflare Turnstile dashboard: https://dash.cloudflare.com/?to=/:account/turnstile
-# This is the backend secret key
-TURNSTILE_SECRET_KEY=
-# This is the verify URL
-TURNSTILE_VERIFY_URL=https://challenges.cloudflare.com/turnstile/v0/siteverify
-
-# Feature Flags
-LAUNCH_DARKLY_SDK_KEY=
-
-# Content Generation & Media
-DID_API_KEY=
-FAL_API_KEY=
-IDEOGRAM_API_KEY=
-REPLICATE_API_KEY=
-REVID_API_KEY=
-SCREENSHOTONE_API_KEY=
-UNREAL_SPEECH_API_KEY=
-
-# Data & Search Services
-E2B_API_KEY=
-EXA_API_KEY=
-JINA_API_KEY=
-MEM0_API_KEY=
-OPENWEATHERMAP_API_KEY=
-GOOGLE_MAPS_API_KEY=
-
-# Communication Services
-DISCORD_BOT_TOKEN=
-MEDIUM_API_KEY=
-MEDIUM_AUTHOR_ID=
-SMTP_SERVER=
-SMTP_PORT=
-SMTP_USERNAME=
-SMTP_PASSWORD=
-
-# Business & Marketing Tools
-APOLLO_API_KEY=
-ENRICHLAYER_API_KEY=
-AYRSHARE_API_KEY=
-AYRSHARE_JWT_KEY=
-SMARTLEAD_API_KEY=
-ZEROBOUNCE_API_KEY=
-
-# Other Services
-AUTOMOD_API_KEY=

autogpt_platform/backend/.env.example

@@ -0,0 +1,106 @@
+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
+# 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
+
+# For local development, you may need to set FRONTEND_BASE_URL for the OAuth flow for integrations to work.
+FRONTEND_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=
+
+## ===== OPTIONAL API KEYS ===== ##
+
+# LLM
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GROQ_API_KEY=
+
+# Reddit
+REDDIT_CLIENT_ID=
+REDDIT_CLIENT_SECRET=
+REDDIT_USERNAME=
+REDDIT_PASSWORD=
+
+# 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=
+
+# 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

@@ -1,4 +1,3 @@
-.env
 database.db
 database.db-journal
 dev.db
@@ -6,15 +5,4 @@ dev.db-journal
 build/
 config.json
 secrets/*
-!secrets/.gitkeep
-
-*.ignore.*
-*.ign.*
-
-# Load test results and reports
-load-tests/*_RESULTS.md
-load-tests/*_REPORT.md
-load-tests/results/
-load-tests/*.json
-load-tests/*.log
-load-tests/node_modules/*
+!secrets/.gitkeep

autogpt_platform/backend/Dockerfile

@@ -1,83 +1,63 @@
-FROM debian:13-slim AS builder
+FROM python:3.11-slim-buster AS builder
 
 # Set environment variables
-ENV PYTHONDONTWRITEBYTECODE=1
-ENV PYTHONUNBUFFERED=1
-ENV DEBIAN_FRONTEND=noninteractive
+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
-
-# Install Node.js repository key and setup
-RUN apt-get update --allow-releaseinfo-change --fix-missing \
-    && apt-get install -y curl ca-certificates gnupg \
-    && mkdir -p /etc/apt/keyrings \
-    && curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg \
-    && echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_20.x nodistro main" | tee /etc/apt/sources.list.d/nodesource.list
-
-# Update package list and install Python, Node.js, and build dependencies
+# Install build dependencies
 RUN apt-get update \
-    && apt-get install -y \
-    python3.13 \
-    python3.13-dev \
-    python3.13-venv \
-    python3-pip \
-    build-essential \
-    libpq5 \
-    libz-dev \
-    libssl-dev \
-    postgresql-client \
-    nodejs \
+    && apt-get install -y build-essential curl ffmpeg wget libcurl4-gnutls-dev libexpat1-dev libpq5 gettext libz-dev libssl-dev postgresql-client git \
+    && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
-ENV POETRY_HOME=/opt/poetry
-ENV POETRY_NO_INTERACTION=1
-ENV POETRY_VIRTUALENVS_CREATE=true
-ENV POETRY_VIRTUALENVS_IN_PROJECT=true
-ENV PATH=/opt/poetry/bin:$PATH
+ENV POETRY_VERSION=1.8.3 \
+    POETRY_HOME="/opt/poetry" \
+    POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_CREATE=false \
+    PATH="$POETRY_HOME/bin:$PATH"
 
-RUN pip3 install poetry --break-system-packages
+# 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
+RUN poetry config virtualenvs.create false \
+    && poetry install --no-interaction --no-ansi
 
 # Generate Prisma client
 COPY autogpt_platform/backend/schema.prisma ./
-RUN poetry run prisma generate
+RUN poetry config virtualenvs.create false \
+    && poetry run prisma generate
 
-FROM debian:13-slim AS server_dependencies
+FROM python:3.11-slim-buster AS server_dependencies
 
 WORKDIR /app
 
-ENV POETRY_HOME=/opt/poetry \
+ENV POETRY_VERSION=1.8.3 \
+    POETRY_HOME="/opt/poetry" \
     POETRY_NO_INTERACTION=1 \
-    POETRY_VIRTUALENVS_CREATE=true \
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    DEBIAN_FRONTEND=noninteractive
-ENV PATH=/opt/poetry/bin:$PATH
+    POETRY_VIRTUALENVS_CREATE=false \
+    PATH="$POETRY_HOME/bin:$PATH"
 
-# Install Python without upgrading system-managed packages
-RUN apt-get update && apt-get install -y \
-    python3.13 \
-    python3-pip \
-    && rm -rf /var/lib/apt/lists/*
+
+# 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* /usr/local/lib/python3*
-COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
-# Copy Node.js installation for Prisma
-COPY --from=builder /usr/bin/node /usr/bin/node
-COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
-COPY --from=builder /usr/bin/npm /usr/bin/npm
-COPY --from=builder /usr/bin/npx /usr/bin/npx
+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/autogpt_platform/backend/.venv/bin:$PATH"
+
+ENV PATH="/app/.venv/bin:$PATH"
 
 RUN mkdir -p /app/autogpt_platform/autogpt_libs
 RUN mkdir -p /app/autogpt_platform/backend
@@ -88,17 +68,11 @@ COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.tom
 
 WORKDIR /app/autogpt_platform/backend
 
-FROM server_dependencies AS migrate
-
-# Migration stage only needs schema and migrations - much lighter than full backend
-COPY autogpt_platform/backend/schema.prisma /app/autogpt_platform/backend/
-COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
-
 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

@@ -1 +1,75 @@
-[Advanced Setup (Dev Branch)](https://dev-docs.agpt.co/platform/advanced_setup/#autogpt_agent_server_advanced_set_up)
+# AutoGPT Agent Server Advanced set up
+
+This guide walks you through a dockerized set up, with an external DB (postgres)
+
+## Setup
+
+We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
+
+0. Install Poetry
+    ```sh
+    pip install poetry
+    ```
+    
+1. Configure Poetry to use .venv in your project directory
+    ```sh
+    poetry config virtualenvs.in-project true
+    ```
+
+2. Enter the poetry shell
+
+   ```sh
+   poetry shell
+   ```
+   
+3. Install dependencies
+
+   ```sh
+   poetry install
+   ```
+   
+4. Copy .env.example to .env
+
+   ```sh
+   cp .env.example .env
+   ```
+
+5. Generate the Prisma client
+
+   ```sh
+   poetry run prisma generate
+   ```
+   
+
+   > In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
+   >
+   > ```sh
+   > pip uninstall prisma
+   > ```
+   >
+   > Then run the generation again. The path *should* look something like this:  
+   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
+
+6. Run the postgres database from the /rnd folder
+
+   ```sh
+   cd autogpt_platform/
+   docker compose up -d
+   ```
+
+7. Run the migrations (from the backend folder)
+
+   ```sh
+   cd ../backend
+   prisma migrate deploy
+   ```
+
+## Running The Server
+
+### Starting the server directly
+
+Run the following command:
+
+```sh
+poetry run app
+```

autogpt_platform/backend/README.md

@@ -1 +1,203 @@
-[Getting Started (Released)](https://docs.agpt.co/platform/getting-started/#autogpt_agent_server)
+# AutoGPT Agent Server 
+
+This is an initial project for creating the next generation of agent execution, which is an AutoGPT agent server.
+The agent server will enable the creation of composite multi-agent systems that utilize AutoGPT agents and other non-agent components as its primitives.
+
+## Docs
+
+You can access the docs for the [AutoGPT Agent Server here](https://docs.agpt.co/server/setup).
+
+## Setup
+
+We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
+
+0. Install Poetry
+    ```sh
+    pip install poetry
+    ```
+    
+1. Configure Poetry to use .venv in your project directory
+    ```sh
+    poetry config virtualenvs.in-project true
+    ```
+
+2. Enter the poetry shell
+
+   ```sh
+   poetry shell
+   ```
+   
+3. Install dependencies
+
+   ```sh
+   poetry install
+   ```
+
+4. Copy .env.example to .env
+
+   ```sh
+   cp .env.example .env
+   ```
+   
+5. Generate the Prisma client
+
+   ```sh
+   poetry run prisma generate
+   ```
+   
+
+   > In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
+   >
+   > ```sh
+   > pip uninstall prisma
+   > ```
+   >
+   > Then run the generation again. The path *should* look something like this:  
+   > `<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 db -d
+   poetry run prisma migrate deploy
+   ```
+
+## Running The Server
+
+### Starting the server without Docker
+
+Run the following command to run database in docker but the application locally:
+
+```sh
+docker compose --profile local up deps --build --detach
+poetry run app
+```
+
+### Starting the server with Docker
+
+Run the following command to build the dockerfiles:
+
+```sh
+docker compose build
+```
+
+Run the following command to run the app:
+
+```sh
+docker compose up
+```
+
+Run the following to automatically rebuild when code changes, in another terminal:
+
+```sh
+docker compose watch
+```
+
+Run the following command to shut down:
+
+```sh
+docker compose down
+```
+
+If you run into issues with dangling orphans, try:
+
+```sh
+docker compose down --volumes --remove-orphans && docker-compose up --force-recreate --renew-anon-volumes --remove-orphans  
+```
+
+## Testing
+
+To run the tests:
+
+```sh
+poetry run test
+```
+
+## Development
+
+### Formatting & Linting
+Auto formatter and linter are set up in the project. To run them:
+
+Install:
+```sh
+poetry install --with dev
+```
+
+Format the code:
+```sh
+poetry run format
+```
+
+Lint the code:
+```sh
+poetry run lint
+```
+
+## Project Outline
+
+The current project has the following main modules:
+
+### **blocks**
+
+This module stores all the Agent Blocks, which are reusable components to build a graph that represents the agent's behavior.
+
+### **data**
+
+This module stores the logical model that is persisted in the database.
+It abstracts the database operations into functions that can be called by the service layer.
+Any code that interacts with Prisma objects or the database should reside in this module.
+The main models are:
+* `block`: anything related to the block used in the graph
+* `execution`: anything related to the execution graph execution
+* `graph`: anything related to the graph, node, and its relations
+
+### **execution**
+
+This module stores the business logic of executing the graph.
+It currently has the following main modules:
+* `manager`: A service that consumes the queue of the graph execution and executes the graph. It contains both pieces of logic.
+* `scheduler`: A service that triggers scheduled graph execution based on a cron expression. It pushes an execution request to the manager.
+
+### **server**
+
+This module stores the logic for the server API.
+It contains all the logic used for the API that allows the client to create, execute, and monitor the graph and its execution.
+This API service interacts with other services like those defined in `manager` and `scheduler`.
+
+### **utils**
+
+This module stores utility functions that are used across the project.
+Currently, it has two main modules:
+* `process`: A module that contains the logic to spawn a new process.
+* `service`: A module that serves as a parent class for all the services in the project.
+
+## Service Communication
+
+Currently, there are only 3 active services:
+
+- AgentServer (the API, defined in `server.py`)
+- ExecutionManager (the executor, defined in `manager.py`)
+- ExecutionScheduler (the scheduler, defined in `scheduler.py`)
+
+The services run in independent Python processes and communicate through an IPC.
+A communication layer (`service.py`) is created to decouple the communication library from the implementation.
+
+Currently, the IPC is done using Pyro5 and abstracted in a way that allows a function decorated with `@expose` to be called from a different process.
+
+
+By default the daemons run on the following ports: 
+
+Execution Manager Daemon: 8002
+Execution Scheduler Daemon: 8003
+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` (`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`.

autogpt_platform/backend/TESTING.md

@@ -1,301 +0,0 @@
-# Backend Testing Guide
-
-This guide covers testing practices for the AutoGPT Platform backend, with a focus on snapshot testing for API endpoints.
-
-## Table of Contents
-- [Overview](#overview)
-- [Running Tests](#running-tests)
-- [Snapshot Testing](#snapshot-testing)
-- [Writing Tests for API Routes](#writing-tests-for-api-routes)
-- [Best Practices](#best-practices)
-
-## Overview
-
-The backend uses pytest for testing with the following key libraries:
-- `pytest` - Test framework
-- `pytest-asyncio` - Async test support
-- `pytest-mock` - Mocking support
-- `pytest-snapshot` - Snapshot testing for API responses
-
-## Running Tests
-
-### Run all tests
-```bash
-poetry run test
-```
-
-### Run specific test file
-```bash
-poetry run pytest path/to/test_file.py
-```
-
-### Run with verbose output
-```bash
-poetry run pytest -v
-```
-
-### Run with coverage
-```bash
-poetry run pytest --cov=backend
-```
-
-## Snapshot Testing
-
-Snapshot testing captures the output of your code and compares it against previously saved snapshots. This is particularly useful for testing API responses.
-
-### How Snapshot Testing Works
-
-1. First run: Creates snapshot files in `snapshots/` directories
-2. Subsequent runs: Compares output against saved snapshots
-3. Changes detected: Test fails if output differs from snapshot
-
-### Creating/Updating Snapshots
-
-When you first write a test or when the expected output changes:
-
-```bash
-poetry run pytest path/to/test.py --snapshot-update
-```
-
-⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
-
-### Snapshot Test Example
-
-```python
-import json
-from pytest_snapshot.plugin import Snapshot
-
-def test_api_endpoint(snapshot: Snapshot):
-    response = client.get("/api/endpoint")
-    
-    # Snapshot the response
-    snapshot.snapshot_dir = "snapshots"
-snapshot.assert_match(
-        json.dumps(response.json(), indent=2, sort_keys=True),
-        "endpoint_response"
-    )
-```
-
-### Best Practices for Snapshots
-
-1. **Use descriptive names**: `"user_list_response"` not `"response1"`
-2. **Sort JSON keys**: Ensures consistent snapshots
-3. **Format JSON**: Use `indent=2` for readable diffs
-4. **Exclude dynamic data**: Remove timestamps, IDs, etc. that change between runs
-
-Example of excluding dynamic data:
-```python
-response_data = response.json()
-# Remove dynamic fields for snapshot
-response_data.pop("created_at", None)
-response_data.pop("id", None)
-
-snapshot.snapshot_dir = "snapshots"
-snapshot.assert_match(
-    json.dumps(response_data, indent=2, sort_keys=True),
-    "static_response_data"
-)
-```
-
-## Writing Tests for API Routes
-
-### Basic Structure
-
-```python
-import json
-import fastapi
-import fastapi.testclient
-import pytest
-from pytest_snapshot.plugin import Snapshot
-
-from backend.server.v2.myroute import router
-
-app = fastapi.FastAPI()
-app.include_router(router)
-client = fastapi.testclient.TestClient(app)
-
-def test_endpoint_success(snapshot: Snapshot):
-    response = client.get("/endpoint")
-    assert response.status_code == 200
-    
-    # Test specific fields
-    data = response.json()
-    assert data["status"] == "success"
-    
-    # Snapshot the full response
-    snapshot.snapshot_dir = "snapshots"
-    snapshot.assert_match(
-        json.dumps(data, indent=2, sort_keys=True),
-        "endpoint_success_response"
-    )
-```
-
-### Testing with Authentication
-
-For the main API routes that use JWT authentication, auth is provided by the `autogpt_libs.auth` module. If the test actually uses the `user_id`, the recommended approach for testing is to mock the `get_jwt_payload` function, which underpins all higher-level auth functions used in the API (`requires_user`, `requires_admin_user`, `get_user_id`).
-
-If the test doesn't need the `user_id` specifically, mocking is not necessary as during tests auth is disabled anyway (see `conftest.py`).
-
-#### Using Global Auth Fixtures
-
-Two global auth fixtures are provided by `backend/server/conftest.py`:
-
-- `mock_jwt_user` - Regular user with `test_user_id` ("test-user-id")
-- `mock_jwt_admin` - Admin user with `admin_user_id` ("admin-user-id")
-
-These provide the easiest way to set up authentication mocking in test modules:
-
-```python
-import fastapi
-import fastapi.testclient
-import pytest
-from backend.server.v2.myroute import router
-
-app = fastapi.FastAPI()
-app.include_router(router)
-client = fastapi.testclient.TestClient(app)
-
-@pytest.fixture(autouse=True)
-def setup_app_auth(mock_jwt_user):
-    """Setup auth overrides for all tests in this module"""
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    app.dependency_overrides[get_jwt_payload] = mock_jwt_user['get_jwt_payload']
-    yield
-    app.dependency_overrides.clear()
-```
-
-For admin-only endpoints, use `mock_jwt_admin` instead:
-
-```python
-@pytest.fixture(autouse=True)
-def setup_app_auth(mock_jwt_admin):
-    """Setup auth overrides for admin tests"""
-    from autogpt_libs.auth.jwt_utils import get_jwt_payload
-
-    app.dependency_overrides[get_jwt_payload] = mock_jwt_admin['get_jwt_payload']
-    yield
-    app.dependency_overrides.clear()
-```
-
-The IDs are also available separately as fixtures:
-
-- `test_user_id`
-- `admin_user_id`
-- `target_user_id` (for admin <-> user operations)
-
-### Mocking External Services
-
-```python
-def test_external_api_call(mocker, snapshot):
-    # Mock external service
-    mock_response = {"external": "data"}
-    mocker.patch(
-        "backend.services.external_api.call",
-        return_value=mock_response
-    )
-
-    response = client.post("/api/process")
-    assert response.status_code == 200
-
-    snapshot.snapshot_dir = "snapshots"
-    snapshot.assert_match(
-        json.dumps(response.json(), indent=2, sort_keys=True),
-        "process_with_external_response"
-    )
-```
-
-## Best Practices
-
-### 1. Test Organization
-- Place tests next to the code: `routes.py` → `routes_test.py`
-- Use descriptive test names: `test_create_user_with_invalid_email`
-- Group related tests in classes when appropriate
-
-### 2. Test Coverage
-- Test happy path and error cases
-- Test edge cases (empty data, invalid formats)
-- Test authentication and authorization
-
-### 3. Snapshot Testing Guidelines
-- Review all snapshot changes carefully
-- Don't snapshot sensitive data
-- Keep snapshots focused and minimal
-- Update snapshots intentionally, not accidentally
-
-### 4. Async Testing
-- Use regular `def` for FastAPI TestClient tests
-- Use `async def` with `@pytest.mark.asyncio` for testing async functions directly
-
-### 5. Fixtures
-
-#### Global Fixtures (conftest.py)
-
-Authentication fixtures are available globally from `conftest.py`:
-
-- `mock_jwt_user` - Standard user authentication
-- `mock_jwt_admin` - Admin user authentication
-- `configured_snapshot` - Pre-configured snapshot fixture
-
-#### Custom Fixtures
-
-Create reusable fixtures for common test data:
-
-```python
-@pytest.fixture
-def sample_user():
-    return {
-        "email": "test@example.com",
-        "name": "Test User"
-    }
-
-def test_create_user(sample_user, snapshot):
-    response = client.post("/users", json=sample_user)
-    # ... test implementation
-```
-
-#### Test Isolation
-
-All tests must use fixtures that ensure proper isolation:
-
-- Authentication overrides are automatically cleaned up after each test
-- Database connections are properly managed with cleanup
-- Mock objects are reset between tests
-
-## CI/CD Integration
-
-The GitHub Actions workflow automatically runs tests on:
-
-- Pull requests
-- Pushes to main branch
-
-Snapshot tests work in CI by:
-1. Committing snapshot files to the repository
-2. CI compares against committed snapshots
-3. Fails if snapshots don't match
-
-## Troubleshooting
-
-### Snapshot Mismatches
-
-- Review the diff carefully
-- If changes are expected: `poetry run pytest --snapshot-update`
-- If changes are unexpected: Fix the code causing the difference
-
-### Async Test Issues
-
-- Ensure async functions use `@pytest.mark.asyncio`
-- Use `AsyncMock` for mocking async functions
-- FastAPI TestClient handles async automatically
-
-### Import Errors
-
-- Check that all dependencies are in `pyproject.toml`
-- Run `poetry install` to ensure dependencies are installed
-- Verify import paths are correct
-
-## Summary
-
-Snapshot testing provides a powerful way to ensure API responses remain consistent. Combined with traditional assertions, it creates a robust test suite that catches regressions while remaining maintainable.
-
-Remember: Good tests are as important as good code!

autogpt_platform/backend/backend/TEST_DATA_README.md

@@ -1,150 +0,0 @@
-# Test Data Scripts
-
-This directory contains scripts for creating and updating test data in the AutoGPT Platform database, specifically designed to test the materialized views for the store functionality.
-
-## Scripts
-
-### test_data_creator.py
-Creates a comprehensive set of test data including:
-- Users with profiles
-- Agent graphs, nodes, and executions
-- Store listings with multiple versions
-- Reviews and ratings
-- Library agents
-- Integration webhooks
-- Onboarding data
-- Credit transactions
-
-**Image/Video Domains Used:**
-- Images: `picsum.photos` (for all image URLs)
-- Videos: `youtube.com` (for store listing videos)
-
-### test_data_updater.py
-Updates existing test data to simulate real-world changes:
-- Adds new agent graph executions
-- Creates new store listing reviews
-- Updates store listing versions
-- Adds credit transactions
-- Refreshes materialized views
-
-### check_db.py
-Tests and verifies materialized views functionality:
-- Checks pg_cron job status (for automatic refresh)
-- Displays current materialized view counts
-- Adds test data (executions and reviews)
-- Creates store listings if none exist
-- Manually refreshes materialized views
-- Compares before/after counts to verify updates
-- Provides a summary of test results
-
-## Materialized Views
-
-The scripts test three key database views:
-
-1. **mv_agent_run_counts**: Tracks execution counts by agent
-2. **mv_review_stats**: Tracks review statistics (count, average rating) by store listing
-3. **StoreAgent**: A view that combines store listing data with execution counts and ratings for display
-
-The materialized views (mv_agent_run_counts and mv_review_stats) are automatically refreshed every 15 minutes via pg_cron, or can be manually refreshed using the `refresh_store_materialized_views()` function.
-
-## Usage
-
-### Prerequisites
-
-1. Ensure the database is running:
-```bash
-docker compose up -d
-# or for test database:
-docker compose -f docker-compose.test.yaml --env-file ../.env up -d
-```
-
-2. Run database migrations:
-```bash
-poetry run prisma migrate deploy
-```
-
-### Running the Scripts
-
-#### Option 1: Use the helper script (from backend directory)
-```bash
-poetry run python run_test_data.py
-```
-
-#### Option 2: Run individually
-```bash
-# From backend/test directory:
-# Create initial test data
-poetry run python test_data_creator.py
-
-# Update data to test materialized view changes
-poetry run python test_data_updater.py
-
-# From backend directory:
-# Test materialized views functionality
-poetry run python check_db.py
-
-# Check store data status
-poetry run python check_store_data.py
-```
-
-#### Option 3: Use the shell script (from backend directory)
-```bash
-./run_test_data_scripts.sh
-```
-
-### Manual Materialized View Refresh
-
-To manually refresh the materialized views:
-```sql
-SELECT refresh_store_materialized_views();
-```
-
-## Configuration
-
-The scripts use the database configuration from your `.env` file:
-- `DATABASE_URL`: PostgreSQL connection string
-- Database should have the platform schema
-
-## Data Generation Limits
-
-Configured in `test_data_creator.py`:
-- 100 users
-- 100 agent blocks
-- 1-5 graphs per user
-- 2-5 nodes per graph
-- 1-5 presets per user
-- 1-10 library agents per user
-- 1-20 executions per graph
-- 1-5 reviews per store listing version
-
-## Notes
-
-- All image URLs use `picsum.photos` for consistency with Next.js image configuration
-- The scripts create realistic relationships between entities
-- Materialized views are refreshed at the end of each script
-- Data is designed to test both happy paths and edge cases
-
-## Troubleshooting
-
-### Reviews and StoreAgent view showing 0
-
-If `check_db.py` shows that reviews remain at 0 and StoreAgent view shows 0 store agents:
-
-1. **No store listings exist**: The script will automatically create test store listings if none exist
-2. **No approved versions**: Store listings need approved versions to appear in the StoreAgent view
-3. **Check with `check_store_data.py`**: This script provides detailed information about:
-   - Total store listings
-   - Store listing versions by status
-   - Existing reviews
-   - StoreAgent view contents
-   - Agent graph executions
-
-### pg_cron not installed
-
-The warning "pg_cron extension is not installed" is normal in local development environments. The materialized views can still be refreshed manually using the `refresh_store_materialized_views()` function, which all scripts do automatically.
-
-### Common Issues
-
-- **Type errors with None values**: Fixed in the latest version of check_db.py by using `or 0` for nullable numeric fields
-- **Missing relations**: Ensure you're using the correct field names (e.g., `StoreListing` not `storeListing` in includes)
-- **Column name mismatches**: The database uses camelCase for column names (e.g., `agentGraphId` not `agent_graph_id`)

autogpt_platform/backend/backend/app.py

@@ -1,34 +1,22 @@
-import logging
 from typing import TYPE_CHECKING
 
-from dotenv import load_dotenv
-
-load_dotenv()
-
 if TYPE_CHECKING:
     from backend.util.process import AppProcess
 
-logger = logging.getLogger(__name__)
-
 
 def run_processes(*processes: "AppProcess", **kwargs):
     """
     Execute all processes in the app. The last process is run in the foreground.
-    Includes enhanced error handling and process lifecycle management.
     """
     try:
-        # Run all processes except the last one in the background.
         for process in processes[:-1]:
             process.start(background=True, **kwargs)
 
-        # Run the last process in the foreground.
+        # Run the last process in the foreground
         processes[-1].start(background=False, **kwargs)
     finally:
         for process in processes:
-            try:
-                process.stop()
-            except Exception as e:
-                logger.exception(f"[{process.service_name}] unable to stop: {e}")
+            process.stop()
 
 
 def main(**kwargs):
@@ -36,18 +24,16 @@ def main(**kwargs):
     Run all the processes required for the AutoGPT-server (REST and WebSocket APIs).
     """
 
-    from backend.executor import DatabaseManager, ExecutionManager, Scheduler
-    from backend.notifications import NotificationManager
+    from backend.executor import DatabaseManager, ExecutionManager, ExecutionScheduler
     from backend.server.rest_api import AgentServer
     from backend.server.ws_api import WebsocketServer
 
     run_processes(
-        DatabaseManager().set_log_level("warning"),
-        Scheduler(),
-        NotificationManager(),
+        DatabaseManager(),
+        ExecutionManager(),
+        ExecutionScheduler(),
         WebsocketServer(),
         AgentServer(),
-        ExecutionManager(),
         **kwargs,
     )
 

autogpt_platform/backend/backend/blocks/__init__.py

@@ -1,125 +1,96 @@
 import importlib
-import logging
 import os
 import re
 from pathlib import Path
-from typing import TYPE_CHECKING, TypeVar
+from typing import Type, TypeVar
 
-from autogpt_libs.utils.cache import cached
+from backend.data.block import Block
 
-logger = logging.getLogger(__name__)
+# 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-z_.]+$", module):
+        raise ValueError(
+            f"Block module {module} error: module name must be lowercase, "
+            "separated by underscores, and contain only alphabet characters"
+        )
 
+    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]] = {}
 
-if TYPE_CHECKING:
-    from backend.data.block import Block
 
 T = TypeVar("T")
 
 
-@cached()
-def load_all_blocks() -> dict[str, type["Block"]]:
-    from backend.data.block import Block
-    from backend.util.settings import Config
-
-    # Check if example blocks should be loaded from settings
-    config = Config()
-    load_examples = config.enable_example_blocks
-
-    # Dynamically load all modules under backend.blocks
-    current_dir = Path(__file__).parent
-    modules = []
-    for f in current_dir.rglob("*.py"):
-        if not f.is_file() or f.name == "__init__.py" or f.name.startswith("test_"):
-            continue
-
-        # Skip examples directory if not enabled
-        relative_path = f.relative_to(current_dir)
-        if not load_examples and relative_path.parts[0] == "examples":
-            continue
-
-        module_path = str(relative_path)[:-3].replace(os.path.sep, ".")
-        modules.append(module_path)
-
-    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__)
-
-    # Load all Block instances from the available modules
-    available_blocks: dict[str, type["Block"]] = {}
-    for block_cls in all_subclasses(Block):
-        class_name = block_cls.__name__
-
-        if class_name.endswith("Base"):
-            continue
-
-        if not class_name.endswith("Block"):
-            raise ValueError(
-                f"Block class {class_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"
-            )
-
-        # Ensure all fields in input_schema and output_schema are annotated SchemaFields
-        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"
-                )
-
-        available_blocks[block.id] = block_cls
-
-    # Filter out blocks with incomplete auth configs, e.g. missing OAuth server secrets
-    from backend.data.block import is_block_auth_configured
-
-    filtered_blocks = {}
-    for block_id, block_cls in available_blocks.items():
-        if is_block_auth_configured(block_cls):
-            filtered_blocks[block_id] = block_cls
-
-    return filtered_blocks
-
-
-__all__ = ["load_all_blocks"]
-
-
-def all_subclasses(cls: type[T]) -> list[type[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
+
+    # Prevent duplicate field name in input_schema and output_schema
+    duplicate_field_names = set(input_schema.keys()) & set(output_schema.keys())
+    if duplicate_field_names:
+        raise ValueError(
+            f"{block.name} has duplicate field names in input_schema and output_schema: {duplicate_field_names}"
+        )
+
+    # 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

@@ -1,205 +0,0 @@
-import logging
-from typing import Any, Optional
-
-from backend.data.block import (
-    Block,
-    BlockCategory,
-    BlockInput,
-    BlockOutput,
-    BlockSchema,
-    BlockType,
-    get_block,
-)
-from backend.data.execution import ExecutionStatus, NodesInputMasks
-from backend.data.model import NodeExecutionStats, SchemaField
-from backend.util.json import validate_with_jsonschema
-from backend.util.retry import func_retry
-
-_logger = logging.getLogger(__name__)
-
-
-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")
-        agent_name: Optional[str] = SchemaField(
-            default=None, description="Name to display in the Builder UI"
-        )
-
-        inputs: 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")
-
-        nodes_input_masks: Optional[NodesInputMasks] = SchemaField(
-            default=None, hidden=True
-        )
-
-        @classmethod
-        def get_input_schema(cls, data: BlockInput) -> dict[str, Any]:
-            return data.get("input_schema", {})
-
-        @classmethod
-        def get_input_defaults(cls, data: BlockInput) -> BlockInput:
-            return data.get("inputs", {})
-
-        @classmethod
-        def get_missing_input(cls, data: BlockInput) -> set[str]:
-            required_fields = cls.get_input_schema(data).get("required", [])
-            return set(required_fields) - set(data)
-
-        @classmethod
-        def get_mismatch_error(cls, data: BlockInput) -> str | None:
-            return validate_with_jsonschema(cls.get_input_schema(data), data)
-
-    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},
-        )
-
-    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
-
-        from backend.executor import utils as execution_utils
-
-        graph_exec = await execution_utils.add_graph_execution(
-            graph_id=input_data.graph_id,
-            graph_version=input_data.graph_version,
-            user_id=input_data.user_id,
-            inputs=input_data.inputs,
-            nodes_input_masks=input_data.nodes_input_masks,
-        )
-
-        logger = execution_utils.LogMetadata(
-            logger=_logger,
-            user_id=input_data.user_id,
-            graph_eid=graph_exec.id,
-            graph_id=input_data.graph_id,
-            node_eid="*",
-            node_id="*",
-            block_name=self.name,
-        )
-
-        try:
-            async for name, data in self._run(
-                graph_id=input_data.graph_id,
-                graph_version=input_data.graph_version,
-                graph_exec_id=graph_exec.id,
-                user_id=input_data.user_id,
-                logger=logger,
-            ):
-                yield name, data
-        except BaseException as e:
-            await self._stop(
-                graph_exec_id=graph_exec.id,
-                user_id=input_data.user_id,
-                logger=logger,
-            )
-            logger.warning(
-                f"Execution of graph {input_data.graph_id}v{input_data.graph_version} failed: {e.__class__.__name__} {str(e)}; execution is stopped."
-            )
-            raise
-
-    async def _run(
-        self,
-        graph_id: str,
-        graph_version: int,
-        graph_exec_id: str,
-        user_id: str,
-        logger,
-    ) -> BlockOutput:
-
-        from backend.data.execution import ExecutionEventType
-        from backend.executor import utils as execution_utils
-
-        event_bus = execution_utils.get_async_execution_event_bus()
-
-        log_id = f"Graph #{graph_id}-V{graph_version}, exec-id: {graph_exec_id}"
-        logger.info(f"Starting execution of {log_id}")
-        yielded_node_exec_ids = set()
-
-        async for event in event_bus.listen(
-            user_id=user_id,
-            graph_id=graph_id,
-            graph_exec_id=graph_exec_id,
-        ):
-            if event.status not in [
-                ExecutionStatus.COMPLETED,
-                ExecutionStatus.TERMINATED,
-                ExecutionStatus.FAILED,
-            ]:
-                logger.debug(
-                    f"Execution {log_id} received event {event.event_type} with status {event.status}"
-                )
-                continue
-
-            if event.event_type == ExecutionEventType.GRAPH_EXEC_UPDATE:
-                # If the graph execution is COMPLETED, TERMINATED, or FAILED,
-                # we can stop listening for further events.
-                self.merge_stats(
-                    NodeExecutionStats(
-                        extra_cost=event.stats.cost if event.stats else 0,
-                        extra_steps=event.stats.node_exec_count if event.stats else 0,
-                    )
-                )
-                break
-
-            logger.debug(
-                f"Execution {log_id} produced input {event.input_data} output {event.output_data}"
-            )
-
-            if event.node_exec_id in yielded_node_exec_ids:
-                logger.warning(
-                    f"{log_id} received duplicate event for node execution {event.node_exec_id}"
-                )
-                continue
-            else:
-                yielded_node_exec_ids.add(event.node_exec_id)
-
-            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.debug(
-                    f"Execution {log_id} produced {output_name}: {output_data}"
-                )
-                yield output_name, output_data
-
-    @func_retry
-    async def _stop(
-        self,
-        graph_exec_id: str,
-        user_id: str,
-        logger,
-    ) -> None:
-        from backend.executor import utils as execution_utils
-
-        log_id = f"Graph exec-id: {graph_exec_id}"
-        logger.info(f"Stopping execution of {log_id}")
-
-        try:
-            await execution_utils.stop_graph_execution(
-                graph_exec_id=graph_exec_id,
-                user_id=user_id,
-                wait_timeout=3600,
-            )
-            logger.info(f"Execution {log_id} stopped successfully.")
-        except TimeoutError as e:
-            logger.error(f"Execution {log_id} stop timed out: {e}")

autogpt_platform/backend/backend/blocks/ai_condition.py

@@ -1,214 +0,0 @@
-from typing import Any
-
-from backend.blocks.llm import (
-    TEST_CREDENTIALS,
-    TEST_CREDENTIALS_INPUT,
-    AIBlockBase,
-    AICredentials,
-    AICredentialsField,
-    LlmModel,
-    LLMResponse,
-    llm_call,
-)
-from backend.data.block import BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import APIKeyCredentials, NodeExecutionStats, SchemaField
-
-
-class AIConditionBlock(AIBlockBase):
-    """
-    An AI-powered condition block that uses natural language to evaluate conditions.
-
-    This block allows users to define conditions in plain English (e.g., "the input is an email address",
-    "the input is a city in the USA") and uses AI to determine if the input satisfies the condition.
-    It provides the same yes/no data pass-through functionality as the standard ConditionBlock.
-    """
-
-    class Input(BlockSchema):
-        input_value: Any = SchemaField(
-            description="The input value to evaluate with the AI condition",
-            placeholder="Enter the value to be evaluated (text, number, or any data)",
-        )
-        condition: str = SchemaField(
-            description="A plaintext English description of the condition to evaluate",
-            placeholder="E.g., 'the input is the body of an email', 'the input is a City in the USA', 'the input is an error or a refusal'",
-        )
-        yes_value: Any = SchemaField(
-            description="(Optional) Value to output if the condition is true. If not provided, input_value will be used.",
-            placeholder="Leave empty to use input_value, or enter a specific value",
-            default=None,
-        )
-        no_value: Any = SchemaField(
-            description="(Optional) Value to output if the condition is false. If not provided, input_value will be used.",
-            placeholder="Leave empty to use input_value, or enter a specific value",
-            default=None,
-        )
-        model: LlmModel = SchemaField(
-            title="LLM Model",
-            default=LlmModel.GPT4O,
-            description="The language model to use for evaluating the condition.",
-            advanced=False,
-        )
-        credentials: AICredentials = AICredentialsField()
-
-    class Output(BlockSchema):
-        result: bool = SchemaField(
-            description="The result of the AI 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"
-        )
-        error: str = SchemaField(
-            description="Error message if the AI evaluation is uncertain or fails"
-        )
-
-    def __init__(self):
-        super().__init__(
-            id="553ec5b8-6c45-4299-8d75-b394d05f72ff",
-            input_schema=AIConditionBlock.Input,
-            output_schema=AIConditionBlock.Output,
-            description="Uses AI to evaluate natural language conditions and provide conditional outputs",
-            categories={BlockCategory.AI, BlockCategory.LOGIC},
-            test_input={
-                "input_value": "john@example.com",
-                "condition": "the input is an email address",
-                "yes_value": "Valid email",
-                "no_value": "Not an email",
-                "model": LlmModel.GPT4O,
-                "credentials": TEST_CREDENTIALS_INPUT,
-            },
-            test_credentials=TEST_CREDENTIALS,
-            test_output=[
-                ("result", True),
-                ("yes_output", "Valid email"),
-            ],
-            test_mock={
-                "llm_call": lambda *args, **kwargs: LLMResponse(
-                    raw_response="",
-                    prompt=[],
-                    response="true",
-                    tool_calls=None,
-                    prompt_tokens=50,
-                    completion_tokens=10,
-                    reasoning=None,
-                )
-            },
-        )
-
-    async def llm_call(
-        self,
-        credentials: APIKeyCredentials,
-        llm_model: LlmModel,
-        prompt: list,
-        max_tokens: int,
-    ) -> LLMResponse:
-        """Wrapper method for llm_call to enable mocking in tests."""
-        return await llm_call(
-            credentials=credentials,
-            llm_model=llm_model,
-            prompt=prompt,
-            force_json_output=False,
-            max_tokens=max_tokens,
-        )
-
-    async def run(
-        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
-    ) -> BlockOutput:
-        """
-        Evaluate the AI condition and return appropriate outputs.
-        """
-        # Prepare the yes and no values, using input_value as default
-        yes_value = (
-            input_data.yes_value
-            if input_data.yes_value is not None
-            else input_data.input_value
-        )
-        no_value = (
-            input_data.no_value
-            if input_data.no_value is not None
-            else input_data.input_value
-        )
-
-        # Convert input_value to string for AI evaluation
-        input_str = str(input_data.input_value)
-
-        # Create the prompt for AI evaluation
-        prompt = [
-            {
-                "role": "system",
-                "content": (
-                    "You are an AI assistant that evaluates conditions based on input data. "
-                    "You must respond with only 'true' or 'false' (lowercase) to indicate whether "
-                    "the given condition is met by the input value. Be accurate and consider the "
-                    "context and meaning of both the input and the condition."
-                ),
-            },
-            {
-                "role": "user",
-                "content": (
-                    f"Input value: {input_str}\n"
-                    f"Condition to evaluate: {input_data.condition}\n\n"
-                    f"Does the input value satisfy the condition? Respond with only 'true' or 'false'."
-                ),
-            },
-        ]
-
-        # Call the LLM
-        try:
-            response = await self.llm_call(
-                credentials=credentials,
-                llm_model=input_data.model,
-                prompt=prompt,
-                max_tokens=10,  # We only expect a true/false response
-            )
-
-            # Extract the boolean result from the response
-            response_text = response.response.strip().lower()
-            if response_text == "true":
-                result = True
-            elif response_text == "false":
-                result = False
-            else:
-                # If the response is not clear, try to interpret it using word boundaries
-                import re
-
-                # Use word boundaries to avoid false positives like 'untrue' or '10'
-                tokens = set(re.findall(r"\b(true|false|yes|no|1|0)\b", response_text))
-
-                if tokens == {"true"} or tokens == {"yes"} or tokens == {"1"}:
-                    result = True
-                elif tokens == {"false"} or tokens == {"no"} or tokens == {"0"}:
-                    result = False
-                else:
-                    # Unclear or conflicting response - default to False and yield error
-                    result = False
-                    yield "error", f"Unclear AI response: '{response.response}'"
-
-            # Update internal stats
-            self.merge_stats(
-                NodeExecutionStats(
-                    input_token_count=response.prompt_tokens,
-                    output_token_count=response.completion_tokens,
-                )
-            )
-            self.prompt = response.prompt
-
-        except Exception as e:
-            # In case of any error, default to False to be safe
-            result = False
-            # Log the error but don't fail the block execution
-            import logging
-
-            logger = logging.getLogger(__name__)
-            logger.error(f"AI condition evaluation failed: {str(e)}")
-            yield "error", f"AI evaluation failed: {str(e)}"
-
-        # Yield results
-        yield "result", result
-
-        if result:
-            yield "yes_output", yes_value
-        else:
-            yield "no_output", no_value

autogpt_platform/backend/backend/blocks/ai_image_customizer.py

@@ -1,154 +0,0 @@
-from enum import Enum
-from typing import Literal
-
-from pydantic import SecretStr
-from replicate.client import Client as ReplicateClient
-from replicate.helpers import FileOutput
-
-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.file import MediaFileType
-
-
-class GeminiImageModel(str, Enum):
-    NANO_BANANA = "google/nano-banana"
-
-
-class OutputFormat(str, Enum):
-    JPG = "jpg"
-    PNG = "png"
-
-
-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,
-}
-
-
-class AIImageCustomizerBlock(Block):
-    class Input(BlockSchema):
-        credentials: CredentialsMetaInput[
-            Literal[ProviderName.REPLICATE], Literal["api_key"]
-        ] = CredentialsField(
-            description="Replicate API key with permissions for Google Gemini image models",
-        )
-        prompt: str = SchemaField(
-            description="A text description of the image you want to generate",
-            title="Prompt",
-        )
-        model: GeminiImageModel = SchemaField(
-            description="The AI model to use for image generation and editing",
-            default=GeminiImageModel.NANO_BANANA,
-            title="Model",
-        )
-        images: list[MediaFileType] = SchemaField(
-            description="Optional list of input images to reference or modify",
-            default=[],
-            title="Input Images",
-        )
-        output_format: OutputFormat = SchemaField(
-            description="Format of the output image",
-            default=OutputFormat.PNG,
-            title="Output Format",
-        )
-
-    class Output(BlockSchema):
-        image_url: MediaFileType = SchemaField(description="URL of the generated image")
-        error: str = SchemaField(description="Error message if generation failed")
-
-    def __init__(self):
-        super().__init__(
-            id="d76bbe4c-930e-4894-8469-b66775511f71",
-            description=(
-                "Generate and edit custom images using Google's Nano-Banana model from Gemini 2.5. "
-                "Provide a prompt and optional reference images to create or modify images."
-            ),
-            categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
-            input_schema=AIImageCustomizerBlock.Input,
-            output_schema=AIImageCustomizerBlock.Output,
-            test_input={
-                "prompt": "Make the scene more vibrant and colorful",
-                "model": GeminiImageModel.NANO_BANANA,
-                "images": [],
-                "output_format": OutputFormat.JPG,
-                "credentials": TEST_CREDENTIALS_INPUT,
-            },
-            test_output=[
-                ("image_url", "https://replicate.delivery/generated-image.jpg"),
-            ],
-            test_mock={
-                "run_model": lambda *args, **kwargs: MediaFileType(
-                    "https://replicate.delivery/generated-image.jpg"
-                ),
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    async def run(
-        self,
-        input_data: Input,
-        *,
-        credentials: APIKeyCredentials,
-        graph_exec_id: str,
-        user_id: str,
-        **kwargs,
-    ) -> BlockOutput:
-        try:
-            result = await self.run_model(
-                api_key=credentials.api_key,
-                model_name=input_data.model.value,
-                prompt=input_data.prompt,
-                images=input_data.images,
-                output_format=input_data.output_format.value,
-            )
-            yield "image_url", result
-        except Exception as e:
-            yield "error", str(e)
-
-    async def run_model(
-        self,
-        api_key: SecretStr,
-        model_name: str,
-        prompt: str,
-        images: list[MediaFileType],
-        output_format: str,
-    ) -> MediaFileType:
-        client = ReplicateClient(api_token=api_key.get_secret_value())
-
-        input_params: dict = {
-            "prompt": prompt,
-            "output_format": output_format,
-        }
-
-        # Add images to input if provided (API expects "image_input" parameter)
-        if images:
-            input_params["image_input"] = [str(img) for img in images]
-
-        output: FileOutput | str = await client.async_run(  # type: ignore
-            model_name,
-            input=input_params,
-            wait=False,
-        )
-
-        if isinstance(output, FileOutput):
-            return MediaFileType(output.url)
-        if isinstance(output, str):
-            return MediaFileType(output)
-
-        raise ValueError("No output received from the model")

autogpt_platform/backend/backend/blocks/ai_image_generator_block.py

@@ -1,325 +0,0 @@
-from enum import Enum
-from typing import Literal
-
-from pydantic import SecretStr
-from replicate.client import Client as ReplicateClient
-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"
-            },
-        )
-
-    async def _run_client(
-        self, credentials: APIKeyCredentials, model_name: str, input_params: dict
-    ):
-        try:
-            # Initialize Replicate client
-            client = ReplicateClient(api_token=credentials.api_key.get_secret_value())
-
-            # Run the model with input parameters
-            output = await client.async_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}")
-
-    async 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 = await 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 = await 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 = await 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 = await 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 ""
-
-    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
-        try:
-            url = await 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

@@ -1,227 +0,0 @@
-import asyncio
-import logging
-from enum import Enum
-from typing import Literal
-
-from pydantic import SecretStr
-from replicate.client import Client as ReplicateClient
-
-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,
-        )
-
-    async 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 = await 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 isinstance(result, str) and result.startswith("http"):
-                    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:
-                    await asyncio.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}"
-
-    async 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 = ReplicateClient(api_token=api_key.get_secret_value())
-
-        # Run the model with parameters
-        output = await client.async_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

@@ -1,20 +1,14 @@
-import asyncio
 import logging
 import time
 from enum import Enum
 from typing import Literal
 
+import requests
+from autogpt_libs.supabase_integration_credentials_store.types import APIKeyCredentials
 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
+from backend.data.model import CredentialsField, CredentialsMetaInput, SchemaField
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -53,7 +47,6 @@ class AudioTrack(str, Enum):
     REFRESHER = ("Refresher",)
     TOURIST = ("Tourist",)
     TWIN_TYCHES = ("Twin Tyches",)
-    DONT_STOP_ME_ABSTRACT_FUTURE_BASS = ("Dont Stop Me Abstract Future Bass",)
 
     @property
     def audio_url(self):
@@ -79,7 +72,6 @@ class AudioTrack(str, Enum):
             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",
-            AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS: "https://cdn.revid.ai/audio/_dont-stop-me-abstract-future-bass.mp3",
         }
         return audio_urls[self]
 
@@ -107,7 +99,6 @@ class GenerationPreset(str, Enum):
     MOVIE = ("Movie",)
     STYLIZED_ILLUSTRATION = ("Stylized Illustration",)
     MANGA = ("Manga",)
-    DEFAULT = ("DEFAULT",)
 
 
 class Voice(str, Enum):
@@ -117,7 +108,6 @@ class Voice(str, Enum):
     JESSICA = "Jessica"
     CHARLOTTE = "Charlotte"
     CALLUM = "Callum"
-    EVA = "Eva"
 
     @property
     def voice_id(self):
@@ -128,7 +118,6 @@ class Voice(str, Enum):
             Voice.JESSICA: "cgSgspJ2msm6clMCkdW9",
             Voice.CHARLOTTE: "XB0fDUnXU5powFXDhCwa",
             Voice.CALLUM: "N2lVS1w4EtoT3dr4eOWO",
-            Voice.EVA: "FGY2WhTYpPnrIDTdsKH5",
         }
         return voice_id_map[self]
 
@@ -146,14 +135,14 @@ logger = logging.getLogger(__name__)
 
 
 class AIShortformVideoCreatorBlock(Block):
-    """Creates a short‑form text‑to‑video clip using stock or AI imagery."""
-
     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.",
+        credentials: CredentialsMetaInput[Literal["revid"], Literal["api_key"]] = (
+            CredentialsField(
+                provider="revid",
+                supported_credential_types={"api_key"},
+                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.""",
@@ -191,58 +180,6 @@ class AIShortformVideoCreatorBlock(Block):
         video_url: str = SchemaField(description="The URL of the created video")
         error: str = SchemaField(description="Error message if the request failed")
 
-    async def create_webhook(self) -> tuple[str, str]:
-        """Create a new webhook URL for receiving notifications."""
-        url = "https://webhook.site/token"
-        headers = {"Accept": "application/json", "Content-Type": "application/json"}
-        response = await Requests().post(url, headers=headers)
-        webhook_data = response.json()
-        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
-
-    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
-        """Create a video using the Revid API."""
-        url = "https://www.revid.ai/api/public/v2/render"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().post(url, json=payload, headers=headers)
-        logger.debug(
-            f"API Response Status Code: {response.status}, Content: {response.text}"
-        )
-        return response.json()
-
-    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
-        """Check the status of a video creation job."""
-        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().get(url, headers=headers)
-        return response.json()
-
-    async def wait_for_video(
-        self,
-        api_key: SecretStr,
-        pid: str,
-        max_wait_time: int = 1000,
-    ) -> str:
-        """Wait for video creation to complete and return the video URL."""
-        start_time = time.time()
-        while time.time() - start_time < max_wait_time:
-            status = await 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')}")
-
-            await asyncio.sleep(10)
-
-        logger.error("Video creation timed out")
-        raise TimeoutError("Video creation timed out")
-
     def __init__(self):
         super().__init__(
             id="361697fb-0c4f-4feb-aed3-8320c88c771b",
@@ -261,41 +198,94 @@ class AIShortformVideoCreatorBlock(Block):
                 "voice": Voice.LILY,
                 "video_style": VisualMediaType.STOCK_VIDEOS,
             },
-            test_output=("video_url", "https://example.com/video.mp4"),
+            test_output=(
+                "video_url",
+                "https://example.com/video.mp4",
+            ),
             test_mock={
-                "create_webhook": lambda *args, **kwargs: (
+                "create_webhook": lambda: (
                     "test_uuid",
                     "https://webhook.site/test_uuid",
                 ),
-                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
-                "check_video_status": lambda *args, **kwargs: {
-                    "status": "ready",
-                    "videoUrl": "https://example.com/video.mp4",
-                },
-                "wait_for_video": lambda *args, **kwargs: "https://example.com/video.mp4",
+                "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,
         )
 
-    async def run(
+    def create_webhook(self):
+        url = "https://webhook.site/token"
+        headers = {"Accept": "application/json", "Content-Type": "application/json"}
+        response = requests.post(url, headers=headers)
+        response.raise_for_status()
+        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}"
+        )
+        response.raise_for_status()
+        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)
+        response.raise_for_status()
+        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 = await self.create_webhook()
+        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": None,
+            "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.value,
+                "selectedAudio": input_data.background_music,
                 "origin": "/create",
                 "inputText": input_data.script,
                 "flowType": "text-to-video",
@@ -311,12 +301,12 @@ class AIShortformVideoCreatorBlock(Block):
                 "selectedStoryStyle": {"value": "custom", "label": "Custom"},
                 "hasToGenerateVideos": input_data.video_style
                 != VisualMediaType.STOCK_VIDEOS,
-                "audioUrl": input_data.background_music.audio_url,
+                "audioUrl": audio_url,
             },
         }
 
         logger.debug("Creating video...")
-        response = await self.create_video(credentials.api_key, payload)
+        response = self.create_video(credentials.api_key, payload)
         pid = response.get("pid")
 
         if not pid:
@@ -328,370 +318,6 @@ class AIShortformVideoCreatorBlock(Block):
             logger.debug(
                 f"Video created with project ID: {pid}. Waiting for completion..."
             )
-            video_url = await self.wait_for_video(credentials.api_key, pid)
+            video_url = self.wait_for_video(credentials.api_key, pid, webhook_token)
             logger.debug(f"Video ready: {video_url}")
             yield "video_url", video_url
-
-
-class AIAdMakerVideoCreatorBlock(Block):
-    """Generates a 30‑second vertical AI advert using optional user‑supplied imagery."""
-
-    class Input(BlockSchema):
-        credentials: CredentialsMetaInput[
-            Literal[ProviderName.REVID], Literal["api_key"]
-        ] = CredentialsField(
-            description="Credentials for Revid.ai API access.",
-        )
-        script: str = SchemaField(
-            description="Short advertising copy. Line breaks create new scenes.",
-            placeholder="Introducing Foobar – [show product photo] the gadget that does it all.",
-        )
-        ratio: str = SchemaField(description="Aspect ratio", default="9 / 16")
-        target_duration: int = SchemaField(
-            description="Desired length of the ad in seconds.", default=30
-        )
-        voice: Voice = SchemaField(
-            description="Narration voice", default=Voice.EVA, placeholder=Voice.EVA
-        )
-        background_music: AudioTrack = SchemaField(
-            description="Background track",
-            default=AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS,
-        )
-        input_media_urls: list[str] = SchemaField(
-            description="List of image URLs to feature in the advert.", default=[]
-        )
-        use_only_provided_media: bool = SchemaField(
-            description="Restrict visuals to supplied images only.", default=True
-        )
-
-    class Output(BlockSchema):
-        video_url: str = SchemaField(description="URL of the finished advert")
-        error: str = SchemaField(description="Error message on failure")
-
-    async def create_webhook(self) -> tuple[str, str]:
-        """Create a new webhook URL for receiving notifications."""
-        url = "https://webhook.site/token"
-        headers = {"Accept": "application/json", "Content-Type": "application/json"}
-        response = await Requests().post(url, headers=headers)
-        webhook_data = response.json()
-        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
-
-    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
-        """Create a video using the Revid API."""
-        url = "https://www.revid.ai/api/public/v2/render"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().post(url, json=payload, headers=headers)
-        logger.debug(
-            f"API Response Status Code: {response.status}, Content: {response.text}"
-        )
-        return response.json()
-
-    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
-        """Check the status of a video creation job."""
-        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().get(url, headers=headers)
-        return response.json()
-
-    async def wait_for_video(
-        self,
-        api_key: SecretStr,
-        pid: str,
-        max_wait_time: int = 1000,
-    ) -> str:
-        """Wait for video creation to complete and return the video URL."""
-        start_time = time.time()
-        while time.time() - start_time < max_wait_time:
-            status = await 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')}")
-
-            await asyncio.sleep(10)
-
-        logger.error("Video creation timed out")
-        raise TimeoutError("Video creation timed out")
-
-    def __init__(self):
-        super().__init__(
-            id="58bd2a19-115d-4fd1-8ca4-13b9e37fa6a0",
-            description="Creates an AI‑generated 30‑second advert (text + images)",
-            categories={BlockCategory.MARKETING, BlockCategory.AI},
-            input_schema=AIAdMakerVideoCreatorBlock.Input,
-            output_schema=AIAdMakerVideoCreatorBlock.Output,
-            test_input={
-                "credentials": TEST_CREDENTIALS_INPUT,
-                "script": "Test product launch!",
-                "input_media_urls": [
-                    "https://cdn.revid.ai/uploads/1747076315114-image.png",
-                ],
-            },
-            test_output=("video_url", "https://example.com/ad.mp4"),
-            test_mock={
-                "create_webhook": lambda *args, **kwargs: (
-                    "test_uuid",
-                    "https://webhook.site/test_uuid",
-                ),
-                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
-                "check_video_status": lambda *args, **kwargs: {
-                    "status": "ready",
-                    "videoUrl": "https://example.com/ad.mp4",
-                },
-                "wait_for_video": lambda *args, **kwargs: "https://example.com/ad.mp4",
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
-        webhook_token, webhook_url = await self.create_webhook()
-
-        payload = {
-            "webhook": webhook_url,
-            "creationParams": {
-                "targetDuration": input_data.target_duration,
-                "ratio": input_data.ratio,
-                "mediaType": "aiVideo",
-                "inputText": input_data.script,
-                "flowType": "text-to-video",
-                "slug": "ai-ad-generator",
-                "slugNew": "",
-                "isCopiedFrom": False,
-                "hasToGenerateVoice": True,
-                "hasToTranscript": False,
-                "hasToSearchMedia": True,
-                "hasAvatar": False,
-                "hasWebsiteRecorder": False,
-                "hasTextSmallAtBottom": False,
-                "selectedAudio": input_data.background_music.value,
-                "selectedVoice": input_data.voice.voice_id,
-                "selectedAvatar": "https://cdn.revid.ai/avatars/young-woman.mp4",
-                "selectedAvatarType": "video/mp4",
-                "websiteToRecord": "",
-                "hasToGenerateCover": True,
-                "nbGenerations": 1,
-                "disableCaptions": False,
-                "mediaMultiplier": "medium",
-                "characters": [],
-                "captionPresetName": "Revid",
-                "sourceType": "contentScraping",
-                "selectedStoryStyle": {"value": "custom", "label": "General"},
-                "generationPreset": "DEFAULT",
-                "hasToGenerateMusic": False,
-                "isOptimizedForChinese": False,
-                "generationUserPrompt": "",
-                "enableNsfwFilter": False,
-                "addStickers": False,
-                "typeMovingImageAnim": "dynamic",
-                "hasToGenerateSoundEffects": False,
-                "forceModelType": "gpt-image-1",
-                "selectedCharacters": [],
-                "lang": "",
-                "voiceSpeed": 1,
-                "disableAudio": False,
-                "disableVoice": False,
-                "useOnlyProvidedMedia": input_data.use_only_provided_media,
-                "imageGenerationModel": "ultra",
-                "videoGenerationModel": "pro",
-                "hasEnhancedGeneration": True,
-                "hasEnhancedGenerationPro": True,
-                "inputMedias": [
-                    {"url": url, "title": "", "type": "image"}
-                    for url in input_data.input_media_urls
-                ],
-                "hasToGenerateVideos": True,
-                "audioUrl": input_data.background_music.audio_url,
-                "watermark": None,
-            },
-        }
-
-        response = await self.create_video(credentials.api_key, payload)
-        pid = response.get("pid")
-        if not pid:
-            raise RuntimeError("Failed to create video: No project ID returned")
-
-        video_url = await self.wait_for_video(credentials.api_key, pid)
-        yield "video_url", video_url
-
-
-class AIScreenshotToVideoAdBlock(Block):
-    """Creates an advert where the supplied screenshot is narrated by an AI avatar."""
-
-    class Input(BlockSchema):
-        credentials: CredentialsMetaInput[
-            Literal[ProviderName.REVID], Literal["api_key"]
-        ] = CredentialsField(description="Revid.ai API key")
-        script: str = SchemaField(
-            description="Narration that will accompany the screenshot.",
-            placeholder="Check out these amazing stats!",
-        )
-        screenshot_url: str = SchemaField(
-            description="Screenshot or image URL to showcase."
-        )
-        ratio: str = SchemaField(default="9 / 16")
-        target_duration: int = SchemaField(default=30)
-        voice: Voice = SchemaField(default=Voice.EVA)
-        background_music: AudioTrack = SchemaField(
-            default=AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS
-        )
-
-    class Output(BlockSchema):
-        video_url: str = SchemaField(description="Rendered video URL")
-        error: str = SchemaField(description="Error, if encountered")
-
-    async def create_webhook(self) -> tuple[str, str]:
-        """Create a new webhook URL for receiving notifications."""
-        url = "https://webhook.site/token"
-        headers = {"Accept": "application/json", "Content-Type": "application/json"}
-        response = await Requests().post(url, headers=headers)
-        webhook_data = response.json()
-        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
-
-    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
-        """Create a video using the Revid API."""
-        url = "https://www.revid.ai/api/public/v2/render"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().post(url, json=payload, headers=headers)
-        logger.debug(
-            f"API Response Status Code: {response.status}, Content: {response.text}"
-        )
-        return response.json()
-
-    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
-        """Check the status of a video creation job."""
-        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
-        headers = {"key": api_key.get_secret_value()}
-        response = await Requests().get(url, headers=headers)
-        return response.json()
-
-    async def wait_for_video(
-        self,
-        api_key: SecretStr,
-        pid: str,
-        max_wait_time: int = 1000,
-    ) -> str:
-        """Wait for video creation to complete and return the video URL."""
-        start_time = time.time()
-        while time.time() - start_time < max_wait_time:
-            status = await 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')}")
-
-            await asyncio.sleep(10)
-
-        logger.error("Video creation timed out")
-        raise TimeoutError("Video creation timed out")
-
-    def __init__(self):
-        super().__init__(
-            id="0f3e4635-e810-43d9-9e81-49e6f4e83b7c",
-            description="Turns a screenshot into an engaging, avatar‑narrated video advert.",
-            categories={BlockCategory.AI, BlockCategory.MARKETING},
-            input_schema=AIScreenshotToVideoAdBlock.Input,
-            output_schema=AIScreenshotToVideoAdBlock.Output,
-            test_input={
-                "credentials": TEST_CREDENTIALS_INPUT,
-                "script": "Amazing numbers!",
-                "screenshot_url": "https://cdn.revid.ai/uploads/1747080376028-image.png",
-            },
-            test_output=("video_url", "https://example.com/screenshot.mp4"),
-            test_mock={
-                "create_webhook": lambda *args, **kwargs: (
-                    "test_uuid",
-                    "https://webhook.site/test_uuid",
-                ),
-                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
-                "check_video_status": lambda *args, **kwargs: {
-                    "status": "ready",
-                    "videoUrl": "https://example.com/screenshot.mp4",
-                },
-                "wait_for_video": lambda *args, **kwargs: "https://example.com/screenshot.mp4",
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
-        webhook_token, webhook_url = await self.create_webhook()
-
-        payload = {
-            "webhook": webhook_url,
-            "creationParams": {
-                "targetDuration": input_data.target_duration,
-                "ratio": input_data.ratio,
-                "mediaType": "aiVideo",
-                "hasAvatar": True,
-                "removeAvatarBackground": True,
-                "inputText": input_data.script,
-                "flowType": "text-to-video",
-                "slug": "ai-ad-generator",
-                "slugNew": "screenshot-to-video-ad",
-                "isCopiedFrom": "ai-ad-generator",
-                "hasToGenerateVoice": True,
-                "hasToTranscript": False,
-                "hasToSearchMedia": True,
-                "hasWebsiteRecorder": False,
-                "hasTextSmallAtBottom": False,
-                "selectedAudio": input_data.background_music.value,
-                "selectedVoice": input_data.voice.voice_id,
-                "selectedAvatar": "https://cdn.revid.ai/avatars/young-woman.mp4",
-                "selectedAvatarType": "video/mp4",
-                "websiteToRecord": "",
-                "hasToGenerateCover": True,
-                "nbGenerations": 1,
-                "disableCaptions": False,
-                "mediaMultiplier": "medium",
-                "characters": [],
-                "captionPresetName": "Revid",
-                "sourceType": "contentScraping",
-                "selectedStoryStyle": {"value": "custom", "label": "General"},
-                "generationPreset": "DEFAULT",
-                "hasToGenerateMusic": False,
-                "isOptimizedForChinese": False,
-                "generationUserPrompt": "",
-                "enableNsfwFilter": False,
-                "addStickers": False,
-                "typeMovingImageAnim": "dynamic",
-                "hasToGenerateSoundEffects": False,
-                "forceModelType": "gpt-image-1",
-                "selectedCharacters": [],
-                "lang": "",
-                "voiceSpeed": 1,
-                "disableAudio": False,
-                "disableVoice": False,
-                "useOnlyProvidedMedia": True,
-                "imageGenerationModel": "ultra",
-                "videoGenerationModel": "ultra",
-                "hasEnhancedGeneration": True,
-                "hasEnhancedGenerationPro": True,
-                "inputMedias": [
-                    {"url": input_data.screenshot_url, "title": "", "type": "image"}
-                ],
-                "hasToGenerateVideos": True,
-                "audioUrl": input_data.background_music.audio_url,
-                "watermark": None,
-            },
-        }
-
-        response = await self.create_video(credentials.api_key, payload)
-        pid = response.get("pid")
-        if not pid:
-            raise RuntimeError("Failed to create video: No project ID returned")
-
-        video_url = await self.wait_for_video(credentials.api_key, pid)
-        yield "video_url", video_url

autogpt_platform/backend/backend/blocks/airtable/_api_test.py

@@ -1,323 +0,0 @@
-from os import getenv
-from uuid import uuid4
-
-import pytest
-
-from backend.sdk import APIKeyCredentials, SecretStr
-
-from ._api import (
-    TableFieldType,
-    WebhookFilters,
-    WebhookSpecification,
-    create_base,
-    create_field,
-    create_record,
-    create_table,
-    create_webhook,
-    delete_multiple_records,
-    delete_record,
-    delete_webhook,
-    get_record,
-    list_bases,
-    list_records,
-    list_webhook_payloads,
-    update_field,
-    update_multiple_records,
-    update_record,
-    update_table,
-)
-
-
-@pytest.mark.asyncio
-async def test_create_update_table():
-
-    key = getenv("AIRTABLE_API_KEY")
-    if not key:
-        return pytest.skip("AIRTABLE_API_KEY is not set")
-
-    credentials = APIKeyCredentials(
-        provider="airtable",
-        api_key=SecretStr(key),
-    )
-    postfix = uuid4().hex[:4]
-    workspace_id = "wsphuHmfllg7V3Brd"
-    response = await create_base(credentials, workspace_id, "API Testing Base")
-    assert response is not None, f"Checking create base response: {response}"
-    assert (
-        response.get("id") is not None
-    ), f"Checking create base response id: {response}"
-    base_id = response.get("id")
-    assert base_id is not None, f"Checking create base response id: {base_id}"
-
-    response = await list_bases(credentials)
-    assert response is not None, f"Checking list bases response: {response}"
-    assert "API Testing Base" in [
-        base.get("name") for base in response.get("bases", [])
-    ], f"Checking list bases response bases: {response}"
-
-    table_name = f"test_table_{postfix}"
-    table_fields = [{"name": "test_field", "type": "singleLineText"}]
-    table = await create_table(credentials, base_id, table_name, table_fields)
-    assert table.get("name") == table_name
-
-    table_id = table.get("id")
-
-    assert table_id is not None
-
-    table_name = f"test_table_updated_{postfix}"
-    table_description = "test_description_updated"
-    table = await update_table(
-        credentials,
-        base_id,
-        table_id,
-        table_name=table_name,
-        table_description=table_description,
-    )
-    assert table.get("name") == table_name
-    assert table.get("description") == table_description
-
-
-@pytest.mark.asyncio
-async def test_invalid_field_type():
-
-    key = getenv("AIRTABLE_API_KEY")
-    if not key:
-        return pytest.skip("AIRTABLE_API_KEY is not set")
-
-    credentials = APIKeyCredentials(
-        provider="airtable",
-        api_key=SecretStr(key),
-    )
-    postfix = uuid4().hex[:4]
-    base_id = "appZPxegHEU3kDc1S"
-    table_name = f"test_table_{postfix}"
-    table_fields = [{"name": "test_field", "type": "notValid"}]
-    with pytest.raises(AssertionError):
-        await create_table(credentials, base_id, table_name, table_fields)
-
-
-@pytest.mark.asyncio
-async def test_create_and_update_field():
-    key = getenv("AIRTABLE_API_KEY")
-    if not key:
-        return pytest.skip("AIRTABLE_API_KEY is not set")
-
-    credentials = APIKeyCredentials(
-        provider="airtable",
-        api_key=SecretStr(key),
-    )
-    postfix = uuid4().hex[:4]
-    base_id = "appZPxegHEU3kDc1S"
-    table_name = f"test_table_{postfix}"
-    table_fields = [{"name": "test_field", "type": "singleLineText"}]
-    table = await create_table(credentials, base_id, table_name, table_fields)
-    assert table.get("name") == table_name
-
-    table_id = table.get("id")
-
-    assert table_id is not None
-
-    field_name = f"test_field_{postfix}"
-    field_type = TableFieldType.SINGLE_LINE_TEXT
-    field = await create_field(credentials, base_id, table_id, field_type, field_name)
-    assert field.get("name") == field_name
-
-    field_id = field.get("id")
-
-    assert field_id is not None
-    assert isinstance(field_id, str)
-
-    field_name = f"test_field_updated_{postfix}"
-    field = await update_field(credentials, base_id, table_id, field_id, field_name)
-    assert field.get("name") == field_name
-
-    field_description = "test_description_updated"
-    field = await update_field(
-        credentials, base_id, table_id, field_id, description=field_description
-    )
-    assert field.get("description") == field_description
-
-
-@pytest.mark.asyncio
-async def test_record_management():
-    key = getenv("AIRTABLE_API_KEY")
-    if not key:
-        return pytest.skip("AIRTABLE_API_KEY is not set")
-
-    credentials = APIKeyCredentials(
-        provider="airtable",
-        api_key=SecretStr(key),
-    )
-    postfix = uuid4().hex[:4]
-    base_id = "appZPxegHEU3kDc1S"
-    table_name = f"test_table_{postfix}"
-    table_fields = [{"name": "test_field", "type": "singleLineText"}]
-    table = await create_table(credentials, base_id, table_name, table_fields)
-    assert table.get("name") == table_name
-
-    table_id = table.get("id")
-    assert table_id is not None
-
-    # Create a record
-    record_fields = {"test_field": "test_value"}
-    record = await create_record(credentials, base_id, table_id, fields=record_fields)
-    fields = record.get("fields")
-    assert fields is not None
-    assert isinstance(fields, dict)
-    assert fields.get("test_field") == "test_value"
-
-    record_id = record.get("id")
-
-    assert record_id is not None
-    assert isinstance(record_id, str)
-
-    # Get a record
-    record = await get_record(credentials, base_id, table_id, record_id)
-    fields = record.get("fields")
-    assert fields is not None
-    assert isinstance(fields, dict)
-    assert fields.get("test_field") == "test_value"
-
-    # Updata a record
-    record_fields = {"test_field": "test_value_updated"}
-    record = await update_record(
-        credentials, base_id, table_id, record_id, fields=record_fields
-    )
-    fields = record.get("fields")
-    assert fields is not None
-    assert isinstance(fields, dict)
-    assert fields.get("test_field") == "test_value_updated"
-
-    # Delete a record
-    record = await delete_record(credentials, base_id, table_id, record_id)
-    assert record is not None
-    assert record.get("id") == record_id
-    assert record.get("deleted")
-
-    # Create 2 records
-    records = [
-        {"fields": {"test_field": "test_value_1"}},
-        {"fields": {"test_field": "test_value_2"}},
-    ]
-    response = await create_record(credentials, base_id, table_id, records=records)
-    created_records = response.get("records")
-    assert created_records is not None
-    assert isinstance(created_records, list)
-    assert len(created_records) == 2, f"Created records: {created_records}"
-    first_record = created_records[0]  # type: ignore
-    second_record = created_records[1]  # type: ignore
-    first_record_id = first_record.get("id")
-    second_record_id = second_record.get("id")
-    assert first_record_id is not None
-    assert second_record_id is not None
-    assert first_record_id != second_record_id
-    first_fields = first_record.get("fields")
-    second_fields = second_record.get("fields")
-    assert first_fields is not None
-    assert second_fields is not None
-    assert first_fields.get("test_field") == "test_value_1"  # type: ignore
-    assert second_fields.get("test_field") == "test_value_2"  # type: ignore
-
-    # List records
-    response = await list_records(credentials, base_id, table_id)
-    records = response.get("records")
-    assert records is not None
-    assert len(records) == 2, f"Records: {records}"
-    assert isinstance(records, list), f"Type of records: {type(records)}"
-
-    # Update multiple records
-    records = [
-        {"id": first_record_id, "fields": {"test_field": "test_value_1_updated"}},
-        {"id": second_record_id, "fields": {"test_field": "test_value_2_updated"}},
-    ]
-    response = await update_multiple_records(
-        credentials, base_id, table_id, records=records
-    )
-    updated_records = response.get("records")
-    assert updated_records is not None
-    assert len(updated_records) == 2, f"Updated records: {updated_records}"
-    assert isinstance(
-        updated_records, list
-    ), f"Type of updated records: {type(updated_records)}"
-    first_updated = updated_records[0]  # type: ignore
-    second_updated = updated_records[1]  # type: ignore
-    first_updated_fields = first_updated.get("fields")
-    second_updated_fields = second_updated.get("fields")
-    assert first_updated_fields is not None
-    assert second_updated_fields is not None
-    assert first_updated_fields.get("test_field") == "test_value_1_updated"  # type: ignore
-    assert second_updated_fields.get("test_field") == "test_value_2_updated"  # type: ignore
-
-    # Delete multiple records
-    assert isinstance(first_record_id, str)
-    assert isinstance(second_record_id, str)
-    response = await delete_multiple_records(
-        credentials, base_id, table_id, records=[first_record_id, second_record_id]
-    )
-    deleted_records = response.get("records")
-    assert deleted_records is not None
-    assert len(deleted_records) == 2, f"Deleted records: {deleted_records}"
-    assert isinstance(
-        deleted_records, list
-    ), f"Type of deleted records: {type(deleted_records)}"
-    first_deleted = deleted_records[0]  # type: ignore
-    second_deleted = deleted_records[1]  # type: ignore
-    assert first_deleted.get("deleted")
-    assert second_deleted.get("deleted")
-
-
-@pytest.mark.asyncio
-async def test_webhook_management():
-    key = getenv("AIRTABLE_API_KEY")
-    if not key:
-        return pytest.skip("AIRTABLE_API_KEY is not set")
-
-    credentials = APIKeyCredentials(
-        provider="airtable",
-        api_key=SecretStr(key),
-    )
-    postfix = uuid4().hex[:4]
-    base_id = "appZPxegHEU3kDc1S"
-    table_name = f"test_table_{postfix}"
-    table_fields = [{"name": "test_field", "type": "singleLineText"}]
-    table = await create_table(credentials, base_id, table_name, table_fields)
-    assert table.get("name") == table_name
-
-    table_id = table.get("id")
-    assert table_id is not None
-    webhook_specification = WebhookSpecification(
-        filters=WebhookFilters(
-            dataTypes=["tableData", "tableFields", "tableMetadata"],
-            changeTypes=["add", "update", "remove"],
-        )
-    )
-    response = await create_webhook(credentials, base_id, webhook_specification)
-    assert response is not None, f"Checking create webhook response: {response}"
-    assert (
-        response.get("id") is not None
-    ), f"Checking create webhook response id: {response}"
-    assert (
-        response.get("macSecretBase64") is not None
-    ), f"Checking create webhook response macSecretBase64: {response}"
-
-    webhook_id = response.get("id")
-    assert webhook_id is not None, f"Webhook ID: {webhook_id}"
-    assert isinstance(webhook_id, str)
-
-    response = await create_record(
-        credentials, base_id, table_id, fields={"test_field": "test_value"}
-    )
-    assert response is not None, f"Checking create record response: {response}"
-    assert (
-        response.get("id") is not None
-    ), f"Checking create record response id: {response}"
-    fields = response.get("fields")
-    assert fields is not None, f"Checking create record response fields: {response}"
-    assert (
-        fields.get("test_field") == "test_value"
-    ), f"Checking create record response fields test_field: {response}"
-
-    response = await list_webhook_payloads(credentials, base_id, webhook_id)
-    assert response is not None, f"Checking list webhook payloads response: {response}"
-
-    response = await delete_webhook(credentials, base_id, webhook_id)