add other specs

.dockerignore

@@ -15,7 +15,6 @@
 !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/
@@ -28,7 +27,6 @@
 # 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
@@ -36,7 +34,6 @@
 ## config
 !autogpt_platform/frontend/*.config.*
 !autogpt_platform/frontend/.env.*
-!autogpt_platform/frontend/.env
 
 # Classic - AutoGPT
 !classic/original_autogpt/autogpt/

.github/PULL_REQUEST_TEMPLATE.md

@@ -24,8 +24,7 @@
 </details>
 
 #### For configuration changes:
-
-- [ ] `.env.default` is updated or already compatible with my changes
+- [ ] `.env.example` is updated or already compatible with my changes
 - [ ] `docker-compose.yml` is updated or already compatible with my changes
 - [ ] I have included a list of my configuration changes in the PR description (under **Changes**)
 

.github/copilot-instructions.md

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

.github/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

@@ -1,375 +0,0 @@
-# Claude Dependabot PR Review Workflow
-# 
-# This workflow automatically runs Claude analysis on Dependabot PRs to:
-# - Identify dependency changes and their versions
-# - Look up changelogs for updated packages  
-# - Assess breaking changes and security impacts
-# - Provide actionable recommendations for the development team
-#
-# Triggered on: Dependabot PRs (opened, synchronize)
-# Requirements: ANTHROPIC_API_KEY secret must be configured
-
-name: Claude Dependabot PR Review
-
-on:
-  pull_request:
-    types: [opened, synchronize]
-
-jobs:
-  dependabot-review:
-    # Only run on Dependabot PRs
-    if: github.actor == 'dependabot[bot]'
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-
-    permissions:
-      contents: write
-      pull-requests: read
-      issues: read
-      id-token: write
-      actions: read # Required for CI access
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 1
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "pgvector/pgvector:pg18"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${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

@@ -30,298 +30,18 @@ jobs:
         github.event.issue.author_association == 'COLLABORATOR'
       )
     runs-on: ubuntu-latest
-    timeout-minutes: 45
-
     permissions:
-      contents: write
+      contents: read
       pull-requests: read
       issues: read
       id-token: write
-      actions: read # Required for CI access
     steps:
-      - name: Checkout code
+      - name: Checkout repository
         uses: actions/checkout@v4
         with:
           fetch-depth: 1
-
-      - name: Free Disk Space (Ubuntu)
-        uses: jlumbroso/free-disk-space@v1.3.1
-        with:
-          large-packages: false  # slow
-          docker-images: false  # limited benefit
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "pgvector/pgvector:pg18"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${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
+        uses: anthropics/claude-code-action@beta
         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/copilot-setup-steps.yml

@@ -1,298 +0,0 @@
-name: "Copilot Setup Steps"
-
-# Automatically run the setup steps when they are changed to allow for easy validation, and
-# allow manual testing through the repository's "Actions" tab
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-  pull_request:
-    paths:
-      - .github/workflows/copilot-setup-steps.yml
-
-jobs:
-  # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
-  copilot-setup-steps:
-    runs-on: ubuntu-latest
-    timeout-minutes: 45
-
-    # Set the permissions to the lowest permissions possible needed for your steps.
-    # Copilot will be given its own token for its operations.
-    permissions:
-      # If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
-      contents: read
-
-    # You can define any steps you want, and they will run before the agent starts.
-    # If you do not check out your code, Copilot will do this for you.
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"  # Use standard version matching CI
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          # Extract Poetry version from backend/poetry.lock (matches CI)
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
-          
-          # Install Poetry
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          
-          # Add Poetry to PATH
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Check poetry.lock
-        working-directory: autogpt_platform/backend
-        run: |
-          poetry lock
-          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
-            echo "Warning: poetry.lock not up to date, but continuing for setup"
-            git checkout poetry.lock  # Reset for clean setup
-          fi
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
-
-      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set pnpm store directory
-        run: |
-          pnpm config set store-dir ~/.pnpm-store
-          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-      - name: Cache frontend dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
-      # Install Playwright browsers for frontend testing
-      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
-      # - name: Install Playwright browsers
-      #   working-directory: autogpt_platform/frontend
-      #   run: pnpm playwright install --with-deps chromium
-
-      # Docker setup for development environment
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Copy default environment files
-        working-directory: autogpt_platform
-        run: |
-          # Copy default environment files for development
-          cp .env.default .env
-          cp backend/.env.default backend/.env
-          cp frontend/.env.default frontend/.env
-
-      # Phase 1: Cache and load Docker images for faster setup
-      - name: Set up Docker image cache
-        id: docker-cache
-        uses: actions/cache@v4
-        with:
-          path: ~/docker-cache
-          # Use a versioned key for cache invalidation when image list changes
-          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
-          restore-keys: |
-            docker-images-v2-${{ runner.os }}-
-            docker-images-v1-${{ runner.os }}-
-
-      - name: Load or pull Docker images
-        working-directory: autogpt_platform
-        run: |
-          mkdir -p ~/docker-cache
-          
-          # Define image list for easy maintenance
-          IMAGES=(
-            "redis:latest"
-            "rabbitmq:management"
-            "clamav/clamav-debian:latest"
-            "busybox:latest"
-            "pgvector/pgvector:pg18"
-          )
-          
-          # Check if any cached tar files exist (more reliable than cache-hit)
-          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
-            echo "Docker cache found, loading images in parallel..."
-            for image in "${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

@@ -3,7 +3,6 @@ name: AutoGPT Platform - Deploy Prod Environment
 on:
   release:
     types: [published]
-  workflow_dispatch:
 
 permissions:
   contents: 'read'
@@ -18,8 +17,6 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          ref: ${{ github.ref_name || 'master' }}
 
       - name: Set up Python
         uses: actions/setup-python@v5
@@ -39,7 +36,7 @@ jobs:
           DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
           DIRECT_URL: ${{ secrets.BACKEND_DATABASE_URL }}
 
-
+          
   trigger:
     needs: migrate
     runs-on: ubuntu-latest
@@ -50,5 +47,4 @@ jobs:
           token: ${{ secrets.DEPLOY_TOKEN }}
           repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
           event-type: build_deploy_prod
-          client-payload: |
-            {"ref": "${{ github.ref_name || 'master' }}", "repository": "${{ github.repository }}"}
+          client-payload: '{"ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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

@@ -5,13 +5,6 @@ on:
     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'
@@ -26,8 +19,6 @@ jobs:
     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
@@ -57,4 +48,4 @@ jobs:
           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": "${{ github.repository }}"}'
+          client-payload: '{"ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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

@@ -2,13 +2,13 @@ name: AutoGPT Platform - Backend CI
 
 on:
   push:
-    branches: [master, dev, ci-test*, native-auth]
+    branches: [master, dev, ci-test*]
     paths:
       - ".github/workflows/platform-backend-ci.yml"
       - "autogpt_platform/backend/**"
       - "autogpt_platform/autogpt_libs/**"
   pull_request:
-    branches: [master, dev, release-*, native-auth]
+    branches: [master, dev, release-*]
     paths:
       - ".github/workflows/platform-backend-ci.yml"
       - "autogpt_platform/backend/**"
@@ -32,25 +32,14 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.11", "3.12", "3.13"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
 
     services:
-      postgres:
-        image: pgvector/pgvector:pg18
-        ports:
-          - 5432:5432
-        env:
-          POSTGRES_USER: postgres
-          POSTGRES_PASSWORD: your-super-secret-and-long-postgres-password
-          POSTGRES_DB: postgres
-        options: >-
-          --health-cmd "pg_isready -U postgres"
-          --health-interval 5s
-          --health-timeout 5s
-          --health-retries 10
       redis:
-        image: redis:latest
+        image: bitnami/redis:6.2
+        env:
+          REDIS_PASSWORD: testpassword
         ports:
           - 6379:6379
       rabbitmq:
@@ -91,6 +80,11 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
 
+      - name: Setup Supabase
+        uses: supabase/setup-cli@v1
+        with:
+          version: 1.178.1
+
       - id: get_date
         name: Get date
         run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
@@ -144,6 +138,16 @@ jobs:
       - name: Generate Prisma Client
         run: poetry run prisma generate
 
+      - id: supabase
+        name: Start Supabase
+        working-directory: .
+        run: |
+          supabase init
+          supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
+          supabase status -o env | sed 's/="/=/; s/"$//' >> $GITHUB_OUTPUT
+        # outputs:
+        # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
+
       - name: Wait for ClamAV to be ready
         run: |
           echo "Waiting for ClamAV daemon to start..."
@@ -176,8 +180,8 @@ jobs:
       - name: Run Database Migrations
         run: poetry run prisma migrate dev --name updates
         env:
-          DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@localhost:5432/postgres
-          DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@localhost:5432/postgres
+          DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
+          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
 
       - id: lint
         name: Run Linter
@@ -193,11 +197,14 @@ jobs:
         if: success() || (failure() && steps.lint.outcome == 'failure')
         env:
           LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
-          DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@localhost:5432/postgres
-          DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@localhost:5432/postgres
-          JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+          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 }}
+          SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
           REDIS_HOST: "localhost"
           REDIS_PORT: "6379"
+          REDIS_PASSWORD: "testpassword"
           ENCRYPTION_KEY: "dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=" # DO NOT USE IN PRODUCTION!!
 
     env:

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

@@ -2,21 +2,16 @@ name: AutoGPT Platform - Frontend CI
 
 on:
   push:
-    branches: [master, dev, native-auth]
+    branches: [master, dev]
     paths:
       - ".github/workflows/platform-frontend-ci.yml"
       - "autogpt_platform/frontend/**"
   pull_request:
-    branches: [master, dev, native-auth]
     paths:
       - ".github/workflows/platform-frontend-ci.yml"
       - "autogpt_platform/frontend/**"
   merge_group:
 
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'merge_group' && format('merge-queue-{0}', github.ref) || format('{0}-{1}', github.ref, github.event.pull_request.number || github.sha) }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
-
 defaults:
   run:
     shell: bash
@@ -35,7 +30,7 @@ jobs:
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: "22.18.0"
+          node-version: "21"
 
       - name: Enable corepack
         run: corepack enable
@@ -67,7 +62,7 @@ jobs:
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: "22.18.0"
+          node-version: "21"
 
       - name: Enable corepack
         run: corepack enable
@@ -87,6 +82,37 @@ jobs:
       - name: Run lint
         run: pnpm lint
 
+  type-check:
+    runs-on: ubuntu-latest
+    needs: setup
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "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 tsc check
+        run: pnpm type-check
+
   chromatic:
     runs-on: ubuntu-latest
     needs: setup
@@ -102,7 +128,7 @@ jobs:
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: "22.18.0"
+          node-version: "21"
 
       - name: Enable corepack
         run: corepack enable
@@ -143,14 +169,18 @@ jobs:
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: "22.18.0"
+          node-version: "21"
 
       - name: Enable corepack
         run: corepack enable
 
-      - name: Copy default platform .env
+      - name: Copy default supabase .env
         run: |
-          cp ../.env.default ../.env
+          cp ../.env.example ../.env
+
+      - name: Copy backend .env
+        run: |
+          cp ../backend/.env.example ../backend/.env
 
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
@@ -165,7 +195,7 @@ jobs:
 
       - name: Run docker compose
         run: |
-          NEXT_PUBLIC_PW_TEST=true docker compose -f ../docker-compose.yml up -d
+          docker compose -f ../docker-compose.yml up -d
         env:
           DOCKER_BUILDKIT: 1
           BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
@@ -222,6 +252,15 @@ jobs:
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
+      - name: Setup .env
+        run: cp .env.example .env
+
+      - name: Build frontend
+        run: pnpm build --turbo
+        # uses Turbopack, much faster and safe enough for a test pipeline
+        env:
+          NEXT_PUBLIC_PW_TEST: true
+
       - name: Install Browser 'chromium'
         run: pnpm playwright install --with-deps chromium
 

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

@@ -1,98 +0,0 @@
-name: AutoGPT Platform - Fullstack CI
-
-on:
-  push:
-    branches: [master, dev, native-auth]
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  pull_request:
-    branches: [master, dev, native-auth]
-    paths:
-      - ".github/workflows/platform-fullstack-ci.yml"
-      - "autogpt_platform/**"
-  merge_group:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'merge_group' && format('merge-queue-{0}', github.ref) || github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/frontend
-
-jobs:
-  setup:
-    runs-on: ubuntu-latest
-    outputs:
-      cache-key: ${{ steps.cache-key.outputs.key }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Generate cache key
-        id: cache-key
-        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
-
-      - name: Cache dependencies
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ steps.cache-key.outputs.key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-  types:
-    runs-on: ubuntu-latest
-    needs: setup
-    timeout-minutes: 10
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: "22.18.0"
-
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Restore dependencies cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.pnpm-store
-          key: ${{ needs.setup.outputs.cache-key }}
-          restore-keys: |
-            ${{ runner.os }}-pnpm-
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Setup .env
-        run: cp .env.default .env
-
-      - name: Generate API queries
-        run: pnpm generate:api
-
-      - name: Run Typescript checks
-        run: pnpm types
-
-    env:
-      CI: true
-      PLAIN_OUTPUT: True

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

@@ -11,7 +11,7 @@ jobs:
   stale:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@v10
+      - uses: actions/stale@v9
         with:
           # operations-per-run: 5000
           stale-issue-message: >

.github/workflows/repo-pr-label.yml

@@ -61,6 +61,6 @@ jobs:
       pull-requests: write
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/labeler@v6
+      - uses: actions/labeler@v5
         with:
           sync-labels: true

.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*/
@@ -178,4 +177,3 @@ autogpt_platform/backend/settings.py
 *.ign.*
 .test-contents
 .claude/settings.local.json
-/autogpt_platform/backend/logs

.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

@@ -235,7 +235,7 @@ repos:
     hooks:
       - id: tsc
         name: Typecheck - AutoGPT Platform - Frontend
-        entry: bash -c 'cd autogpt_platform/frontend && pnpm types'
+        entry: bash -c 'cd autogpt_platform/frontend && pnpm type-check'
         files: ^autogpt_platform/frontend/
         types: [file]
         language: system

AGENTS.md

@@ -49,5 +49,5 @@ Use conventional commit messages for all commits (e.g. `feat(backend): add API`)
 - 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/auth/helpers.ts`.
+- 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

README.md

@@ -3,16 +3,6 @@
 [![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)  
 [![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)
-
 **AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. 
 
 ## Hosting Options 

autogpt_platform/.env.default

@@ -1,48 +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
-
-
-############
-# 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
-
-
-############
-# Auth - Native authentication configuration
-############
-
-SITE_URL=http://localhost:3000
-
-# JWT token configuration
-ACCESS_TOKEN_EXPIRE_MINUTES=15
-REFRESH_TOKEN_EXPIRE_DAYS=7
-JWT_ISSUER=autogpt-platform
-
-# Google OAuth (optional)
-GOOGLE_CLIENT_ID=
-GOOGLE_CLIENT_SECRET=
-
-
-############
-# Email configuration (optional)
-############
-
-SMTP_HOST=
-SMTP_PORT=587
-SMTP_USER=
-SMTP_PASS=
-SMTP_FROM_EMAIL=noreply@example.com
-
-
-# Docker socket location - this value will differ depending on your OS
-DOCKER_SOCKET_LOCATION=/var/run/docker.sock

autogpt_platform/.env.example

@@ -0,0 +1,123 @@
+############
+# 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/CLAUDE.md

@@ -1,11 +1,9 @@
 # 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
@@ -13,7 +11,6 @@ AutoGPT Platform is a monorepo containing:
 ## Essential Commands
 
 ### Backend Development
-
 ```bash
 # Install dependencies
 cd backend && poetry install
@@ -33,18 +30,11 @@ 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
@@ -57,49 +47,31 @@ 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
 
+### Frontend Development
 ```bash
 # Install dependencies
-cd frontend && pnpm i
-
-# Generate API client from OpenAPI spec
-pnpm generate:api
+cd frontend && npm install
 
 # Start development server
-pnpm dev
+npm run dev
 
 # Run E2E tests
-pnpm test
+npm run test
 
 # Run Storybook for component development
-pnpm storybook
+npm run storybook
 
 # Build production
-pnpm build
-
-# Format and lint
-pnpm format
+npm run build
 
 # Type checking
-pnpm types
+npm run type-check
 ```
 
-**📖 Complete Guide**: See `/frontend/CONTRIBUTING.md` and `/frontend/.cursorrules` for comprehensive frontend patterns.
-
-**Key Frontend Conventions:**
-
-- Separate render logic from data/behavior in components
-- Use generated API hooks from `@/app/api/__generated__/endpoints/`
-- Use function declarations (not arrow functions) for components/handlers
-- Use design system components from `src/components/` (atoms, molecules, organisms)
-- Only use Phosphor Icons
-- Never use `src/components/__legacy__/*` or deprecated `BackendAPI`
-
 ## 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
@@ -108,20 +80,13 @@ pnpm types
 - **Security**: Cache protection middleware prevents sensitive data caching in browsers/proxies
 
 ### Frontend Architecture
-
-- **Framework**: Next.js 15 App Router (client-first approach)
-- **Data Fetching**: Type-safe generated API hooks via Orval + React Query
-- **State Management**: React Query for server state, co-located UI state in components/hooks
-- **Component Structure**: Separate render logic (`.tsx`) from business logic (`use*.ts` hooks)
+- **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**: shadcn/ui (Radix UI primitives) with Tailwind CSS styling
-- **Icons**: Phosphor Icons only
+- **UI Components**: Radix UI primitives with Tailwind CSS styling
 - **Feature Flags**: LaunchDarkly integration
-- **Error Handling**: ErrorCard for render errors, toast for mutations, Sentry for exceptions
-- **Testing**: Playwright for E2E, Storybook for component development
 
 ### 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
@@ -129,16 +94,13 @@ pnpm types
 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
@@ -146,82 +108,35 @@ Key models (defined in `/backend/schema.prisma`):
 - `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
+- Backend: `.env` file in `/backend`
+- Frontend: `.env.local` file in `/frontend`
+- Both require Supabase credentials and API keys for various services
 
 ### 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?
-
-If you get any pushback or hit complex block conditions check the new_blocks guide in the docs.
+2. Inherit from `Block` base class
+3. Define input/output schemas
+4. Implement `run` method
+5. Register in block registry
+6. Generate the block uuid using `uuid.uuid4()`
 
 **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:**
-
-See `/frontend/CONTRIBUTING.md` for complete patterns. Quick reference:
-
-1. **Pages**: Create in `src/app/(platform)/feature-name/page.tsx`
-   - Add `usePageName.ts` hook for logic
-   - Put sub-components in local `components/` folder
-2. **Components**: Structure as `ComponentName/ComponentName.tsx` + `useComponentName.ts` + `helpers.ts`
-   - Use design system components from `src/components/` (atoms, molecules, organisms)
-   - Never use `src/components/__legacy__/*`
-3. **Data fetching**: Use generated API hooks from `@/app/api/__generated__/endpoints/`
-   - Regenerate with `pnpm generate:api`
-   - Pattern: `use{Method}{Version}{OperationName}`
-4. **Styling**: Tailwind CSS only, use design tokens, Phosphor Icons only
-5. **Testing**: Add Storybook stories for new components, Playwright for E2E
-6. **Code conventions**: Function declarations (not arrow functions) for components/handlers
+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
@@ -229,47 +144,3 @@ See `/frontend/CONTRIBUTING.md` for complete patterns. Quick reference:
 - 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

@@ -1,61 +0,0 @@
-.PHONY: start-core stop-core logs-core format lint migrate run-backend run-frontend load-store-agents
-
-# Run just PostgreSQL + Redis + RabbitMQ + ClamAV
-start-core:
-	docker compose up -d deps
-
-# Stop core services
-stop-core:
-	docker compose stop deps
-
-reset-db:
-	rm -rf db/docker/volumes/db/data
-	cd backend && poetry run prisma migrate deploy
-	cd backend && poetry run prisma generate
-	
-# 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
-
-test-data:
-	cd backend && poetry run python test/test_data_creator.py
-
-load-store-agents:
-	cd backend && poetry run load-store-agents
-
-help:
-	@echo "Usage: make <target>"
-	@echo "Targets:"
-	@echo "  start-core - Start just the core services (PostgreSQL, Redis, RabbitMQ, ClamAV) in background"
-	@echo "  stop-core - Stop the core services"
-	@echo "  reset-db - Reset the database by deleting the volume"
-	@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"
-	@echo "  test-data - Run the test data creator"
-	@echo "  load-store-agents - Load store agents from agents/ folder into test database"

autogpt_platform/README.md

@@ -8,6 +8,7 @@ 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
 
@@ -23,10 +24,10 @@ To run the AutoGPT Platform, follow these steps:
 2. Run the following command:
 
    ```
-   cp .env.default .env
+   cp .env.example .env
    ```
 
-   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 copy the `.env.example` file to `.env`. You can modify the `.env` file to add your own environment variables.
 
 3. Run the following command:
 
@@ -36,38 +37,44 @@ To run the AutoGPT Platform, follow these steps:
 
    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.
+4. Navigate to `frontend` within the `autogpt_platform` directory:
 
-### Running Just Core services
+   ```
+   cd frontend
+   ```
 
-You can now run the following to enable just the core services.
+   You will need to run your frontend application separately on your local machine.
 
-```
-# For help
-make help
+5. Run the following command:
 
-# Run just Supabase + Redis + RabbitMQ
-make start-core
+   ```
+   cp .env.example .env.local
+   ```
 
-# Stop core services
-make stop-core
+   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.
 
-# View logs from core services 
-make logs-core
+6. Run the following command:
 
-# Run formatting and linting for backend and frontend
-make format
+   Enable corepack and install dependencies by running:
 
-# Run migrations for backend database
-make migrate
+   ```
+   corepack enable
+   pnpm i
+   ```
 
-# Run backend server
-make run-backend
+   Generate the API client (this step is required before running the frontend):
 
-# Run frontend development server
-make run-frontend
+   ```
+   pnpm generate:api-client
+   ```
 
-```
+   Then start the frontend application in development mode:
+
+   ```
+   pnpm dev
+   ```
+
+7. Open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
 
 ### Docker Compose Commands
 
@@ -170,21 +177,20 @@ 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
+- `pnpm generate:api-all`: 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
+   pnpm generate:api-all
    ```
 
 This will fetch the latest OpenAPI specification and regenerate the TypeScript client code.

autogpt_platform/autogpt-rs/DATABASE_MANAGER.md

@@ -0,0 +1,802 @@
+# DatabaseManager Technical Specification
+
+## Executive Summary
+
+This document provides a complete technical specification for implementing a drop-in replacement for the AutoGPT Platform's DatabaseManager service. The replacement must maintain 100% API compatibility while preserving all functional behaviors, security requirements, and performance characteristics.
+
+## 1. System Overview
+
+### 1.1 Purpose
+The DatabaseManager is a centralized service that provides database access for the AutoGPT Platform's executor system. It encapsulates all database operations behind a service interface, enabling distributed execution while maintaining data consistency and security.
+
+### 1.2 Architecture Pattern
+- **Service Type**: HTTP-based microservice using FastAPI
+- **Communication**: RPC-style over HTTP with JSON serialization
+- **Base Class**: Inherits from `AppService` (backend.util.service)
+- **Client Classes**: `DatabaseManagerClient` (sync) and `DatabaseManagerAsyncClient` (async)
+- **Port**: Configurable via `config.database_api_port`
+
+### 1.3 Critical Requirements
+1. **API Compatibility**: All 40+ exposed methods must maintain exact signatures
+2. **Type Safety**: Full type preservation across service boundaries
+3. **User Isolation**: All operations must respect user_id boundaries
+4. **Transaction Support**: Maintain ACID properties for critical operations
+5. **Event Publishing**: Maintain Redis event bus integration for real-time updates
+
+## 2. Service Implementation Requirements
+
+### 2.1 Base Service Class
+
+```python
+from backend.util.service import AppService, expose
+from backend.util.settings import Config
+from backend.data import db
+import logging
+
+class DatabaseManager(AppService):
+    """
+    REQUIRED: Inherit from AppService to get:
+    - Automatic endpoint generation via @expose decorator
+    - Built-in health checks at /health
+    - Request/response serialization
+    - Error handling and logging
+    """
+    
+    def run_service(self) -> None:
+        """REQUIRED: Initialize database connection before starting service"""
+        logger.info(f"[{self.service_name}] ⏳ Connecting to Database...")
+        self.run_and_wait(db.connect())  # CRITICAL: Must connect to database
+        super().run_service()  # Start HTTP server
+    
+    def cleanup(self):
+        """REQUIRED: Clean disconnect on shutdown"""
+        super().cleanup()
+        logger.info(f"[{self.service_name}] ⏳ Disconnecting Database...")
+        self.run_and_wait(db.disconnect())  # CRITICAL: Must disconnect cleanly
+    
+    @classmethod
+    def get_port(cls) -> int:
+        """REQUIRED: Return configured port"""
+        return config.database_api_port
+```
+
+### 2.2 Method Exposure Pattern
+
+```python
+@staticmethod
+def _(f: Callable[P, R], name: str | None = None) -> Callable[Concatenate[object, P], R]:
+    """
+    REQUIRED: Helper to expose methods with proper signatures
+    - Preserves function name for endpoint generation
+    - Maintains type information
+    - Adds 'self' parameter for instance binding
+    """
+    if name is not None:
+        f.__name__ = name
+    return cast(Callable[Concatenate[object, P], R], expose(f))
+```
+
+### 2.3 Database Connection Management
+
+**REQUIRED: Use Prisma ORM with these exact configurations:**
+
+```python
+from prisma import Prisma
+
+prisma = Prisma(
+    auto_register=True,
+    http={"timeout": HTTP_TIMEOUT},  # Default: 120 seconds
+    datasource={"url": DATABASE_URL}
+)
+
+# Connection lifecycle
+async def connect():
+    await prisma.connect()
+
+async def disconnect():
+    await prisma.disconnect()
+```
+
+### 2.4 Transaction Support
+
+**REQUIRED: Implement both regular and locked transactions:**
+
+```python
+async def transaction(timeout: float | None = None):
+    """Regular database transaction"""
+    async with prisma.tx(timeout=timeout) as tx:
+        yield tx
+
+async def locked_transaction(key: str, timeout: float | None = None):
+    """Transaction with PostgreSQL advisory lock"""
+    lock_key = zlib.crc32(key.encode("utf-8"))
+    async with transaction(timeout=timeout) as tx:
+        await tx.execute_raw("SELECT pg_advisory_xact_lock($1)", lock_key)
+        yield tx
+```
+
+## 3. Complete API Specification
+
+### 3.1 Execution Management APIs
+
+#### get_graph_execution
+```python
+async def get_graph_execution(
+    user_id: str,
+    execution_id: str,
+    *,
+    include_node_executions: bool = False
+) -> GraphExecution | GraphExecutionWithNodes | None
+```
+**Behavior**: 
+- Returns execution only if user_id matches
+- Optionally includes all node executions
+- Returns None if not found or unauthorized
+
+#### get_graph_executions
+```python
+async def get_graph_executions(
+    user_id: str,
+    graph_id: str | None = None,
+    *,
+    limit: int = 50,
+    graph_version: int | None = None,
+    cursor: str | None = None,
+    preset_id: str | None = None
+) -> tuple[list[GraphExecution], str | None]
+```
+**Behavior**:
+- Paginated results with cursor
+- Filter by graph_id, version, or preset_id
+- Returns (executions, next_cursor)
+
+#### create_graph_execution
+```python
+async def create_graph_execution(
+    graph_id: str,
+    graph_version: int,
+    starting_nodes_input: dict[str, dict[str, Any]],
+    user_id: str,
+    preset_id: str | None = None
+) -> GraphExecutionWithNodes
+```
+**Behavior**:
+- Creates execution with status "QUEUED"
+- Initializes all nodes with "PENDING" status
+- Publishes creation event to Redis
+- Uses locked transaction on graph_id
+
+#### update_graph_execution_start_time
+```python
+async def update_graph_execution_start_time(
+    graph_exec_id: str
+) -> None
+```
+**Behavior**:
+- Sets start_time to current timestamp
+- Only updates if currently NULL
+
+#### update_graph_execution_stats
+```python
+async def update_graph_execution_stats(
+    graph_exec_id: str,
+    status: AgentExecutionStatus | None = None,
+    stats: dict[str, Any] | None = None
+) -> GraphExecution | None
+```
+**Behavior**:
+- Updates status and/or stats atomically
+- Sets end_time if status is terminal (COMPLETED/FAILED)
+- Publishes update event to Redis
+- Returns updated execution
+
+#### get_node_execution
+```python
+async def get_node_execution(
+    node_exec_id: str
+) -> NodeExecutionResult | None
+```
+**Behavior**:
+- No user_id check (relies on graph execution security)
+- Includes all input/output data
+
+#### get_node_executions
+```python
+async def get_node_executions(
+    graph_exec_id: str
+) -> list[NodeExecutionResult]
+```
+**Behavior**:
+- Returns all node executions for graph
+- Ordered by creation time
+
+#### get_latest_node_execution
+```python
+async def get_latest_node_execution(
+    graph_exec_id: str,
+    node_id: str
+) -> NodeExecutionResult | None
+```
+**Behavior**:
+- Returns most recent execution of specific node
+- Used for retry/rerun scenarios
+
+#### update_node_execution_status
+```python
+async def update_node_execution_status(
+    node_exec_id: str,
+    status: AgentExecutionStatus,
+    execution_data: dict[str, Any] | None = None,
+    stats: dict[str, Any] | None = None
+) -> NodeExecutionResult
+```
+**Behavior**:
+- Updates status atomically
+- Sets end_time for terminal states
+- Optionally updates stats/data
+- Publishes event to Redis
+- Returns updated execution
+
+#### update_node_execution_status_batch
+```python
+async def update_node_execution_status_batch(
+    execution_updates: list[NodeExecutionUpdate]
+) -> list[NodeExecutionResult]
+```
+**Behavior**:
+- Batch update multiple nodes in single transaction
+- Each update can have different status/stats
+- Publishes events for all updates
+- Returns all updated executions
+
+#### update_node_execution_stats
+```python
+async def update_node_execution_stats(
+    node_exec_id: str,
+    stats: dict[str, Any]
+) -> NodeExecutionResult
+```
+**Behavior**:
+- Updates only stats field
+- Merges with existing stats
+- Does not affect status
+
+#### upsert_execution_input
+```python
+async def upsert_execution_input(
+    node_id: str,
+    graph_exec_id: str,
+    input_name: str,
+    input_data: Any,
+    node_exec_id: str | None = None
+) -> tuple[str, BlockInput]
+```
+**Behavior**:
+- Creates or updates input data
+- If node_exec_id not provided, creates node execution
+- Serializes input_data to JSON
+- Returns (node_exec_id, input_object)
+
+#### upsert_execution_output
+```python
+async def upsert_execution_output(
+    node_exec_id: str,
+    output_name: str,
+    output_data: Any
+) -> None
+```
+**Behavior**:
+- Creates or updates output data
+- Serializes output_data to JSON
+- No return value
+
+#### get_execution_kv_data
+```python
+async def get_execution_kv_data(
+    user_id: str,
+    key: str
+) -> Any | None
+```
+**Behavior**:
+- User-scoped key-value storage
+- Returns deserialized JSON data
+- Returns None if key not found
+
+#### set_execution_kv_data
+```python
+async def set_execution_kv_data(
+    user_id: str,
+    node_exec_id: str,
+    key: str,
+    data: Any
+) -> Any | None
+```
+**Behavior**:
+- Sets user-scoped key-value data
+- Associates with node execution
+- Serializes data to JSON
+- Returns previous value or None
+
+#### get_block_error_stats
+```python
+async def get_block_error_stats() -> list[BlockErrorStats]
+```
+**Behavior**:
+- Aggregates error counts by block_id
+- Last 7 days of data
+- Groups by error type
+
+### 3.2 Graph Management APIs
+
+#### get_node
+```python
+async def get_node(
+    node_id: str
+) -> AgentNode | None
+```
+**Behavior**:
+- Returns node with block data
+- No user_id check (public blocks)
+
+#### get_graph
+```python
+async def get_graph(
+    graph_id: str,
+    version: int | None = None,
+    user_id: str | None = None,
+    for_export: bool = False,
+    include_subgraphs: bool = False
+) -> GraphModel | None
+```
+**Behavior**:
+- Returns latest version if version=None
+- Checks user_id for private graphs
+- for_export=True excludes internal fields
+- include_subgraphs=True loads nested graphs
+
+#### get_connected_output_nodes
+```python
+async def get_connected_output_nodes(
+    node_id: str,
+    output_name: str
+) -> list[tuple[AgentNode, AgentNodeLink]]
+```
+**Behavior**:
+- Returns downstream nodes connected to output
+- Includes link metadata
+- Used for execution flow
+
+#### get_graph_metadata
+```python
+async def get_graph_metadata(
+    graph_id: str,
+    user_id: str
+) -> GraphMetadata | None
+```
+**Behavior**:
+- Returns graph metadata without full definition
+- User must own or have access to graph
+
+### 3.3 Credit System APIs
+
+#### get_credits
+```python
+async def get_credits(
+    user_id: str
+) -> int
+```
+**Behavior**:
+- Returns current credit balance
+- Always non-negative
+
+#### spend_credits
+```python
+async def spend_credits(
+    user_id: str,
+    cost: int,
+    metadata: UsageTransactionMetadata
+) -> int
+```
+**Behavior**:
+- Deducts credits atomically
+- Creates transaction record
+- Throws InsufficientCredits if balance too low
+- Returns new balance
+- metadata includes: block_id, node_exec_id, context
+
+### 3.4 User Management APIs
+
+#### get_user_metadata
+```python
+async def get_user_metadata(
+    user_id: str
+) -> UserMetadata
+```
+**Behavior**:
+- Returns user preferences and settings
+- Creates default if not exists
+
+#### update_user_metadata
+```python
+async def update_user_metadata(
+    user_id: str,
+    data: UserMetadataDTO
+) -> UserMetadata
+```
+**Behavior**:
+- Partial update of metadata
+- Validates against schema
+- Returns updated metadata
+
+#### get_user_integrations
+```python
+async def get_user_integrations(
+    user_id: str
+) -> UserIntegrations
+```
+**Behavior**:
+- Returns OAuth credentials
+- Decrypts sensitive data
+- Creates empty if not exists
+
+#### update_user_integrations
+```python
+async def update_user_integrations(
+    user_id: str,
+    data: UserIntegrations
+) -> None
+```
+**Behavior**:
+- Updates integration credentials
+- Encrypts sensitive data
+- No return value
+
+### 3.5 User Communication APIs
+
+#### get_active_user_ids_in_timerange
+```python
+async def get_active_user_ids_in_timerange(
+    start_time: datetime,
+    end_time: datetime
+) -> list[str]
+```
+**Behavior**:
+- Returns users with graph executions in range
+- Used for analytics/notifications
+
+#### get_user_email_by_id
+```python
+async def get_user_email_by_id(
+    user_id: str
+) -> str | None
+```
+**Behavior**:
+- Returns user's email address
+- None if user not found
+
+#### get_user_email_verification
+```python
+async def get_user_email_verification(
+    user_id: str
+) -> UserEmailVerification
+```
+**Behavior**:
+- Returns email and verification status
+- Used for notification filtering
+
+#### get_user_notification_preference
+```python
+async def get_user_notification_preference(
+    user_id: str
+) -> NotificationPreference
+```
+**Behavior**:
+- Returns notification settings
+- Creates default if not exists
+
+### 3.6 Notification APIs
+
+#### create_or_add_to_user_notification_batch
+```python
+async def create_or_add_to_user_notification_batch(
+    user_id: str,
+    notification_type: NotificationType,
+    notification_data: NotificationEvent
+) -> UserNotificationBatchDTO
+```
+**Behavior**:
+- Adds to existing batch or creates new
+- Batches by type for efficiency
+- Returns updated batch
+
+#### empty_user_notification_batch
+```python
+async def empty_user_notification_batch(
+    user_id: str,
+    notification_type: NotificationType
+) -> None
+```
+**Behavior**:
+- Clears all notifications of type
+- Used after sending batch
+
+#### get_all_batches_by_type
+```python
+async def get_all_batches_by_type(
+    notification_type: NotificationType
+) -> list[UserNotificationBatchDTO]
+```
+**Behavior**:
+- Returns all user batches of type
+- Used by notification service
+
+#### get_user_notification_batch
+```python
+async def get_user_notification_batch(
+    user_id: str,
+    notification_type: NotificationType
+) -> UserNotificationBatchDTO | None
+```
+**Behavior**:
+- Returns user's batch for type
+- None if no batch exists
+
+#### get_user_notification_oldest_message_in_batch
+```python
+async def get_user_notification_oldest_message_in_batch(
+    user_id: str,
+    notification_type: NotificationType
+) -> NotificationEvent | None
+```
+**Behavior**:
+- Returns oldest notification in batch
+- Used for batch timing decisions
+
+## 4. Client Implementation Requirements
+
+### 4.1 Synchronous Client
+
+```python
+class DatabaseManagerClient(AppServiceClient):
+    """
+    REQUIRED: Synchronous client that:
+    - Converts async methods to sync using endpoint_to_sync
+    - Maintains exact method signatures
+    - Handles connection pooling
+    - Implements retry logic
+    """
+    
+    @classmethod
+    def get_service_type(cls):
+        return DatabaseManager
+    
+    # Example method mapping
+    get_graph_execution = endpoint_to_sync(DatabaseManager.get_graph_execution)
+```
+
+### 4.2 Asynchronous Client
+
+```python
+class DatabaseManagerAsyncClient(AppServiceClient):
+    """
+    REQUIRED: Async client that:
+    - Directly references async methods
+    - No conversion needed
+    - Shares connection pool
+    """
+    
+    @classmethod
+    def get_service_type(cls):
+        return DatabaseManager
+    
+    # Direct method reference
+    get_graph_execution = DatabaseManager.get_graph_execution
+```
+
+## 5. Data Models
+
+### 5.1 Core Enums
+
+```python
+class AgentExecutionStatus(str, Enum):
+    PENDING = "PENDING"
+    QUEUED = "QUEUED"
+    RUNNING = "RUNNING"
+    COMPLETED = "COMPLETED"
+    FAILED = "FAILED"
+    CANCELED = "CANCELED"
+
+class NotificationType(str, Enum):
+    SYSTEM = "SYSTEM"
+    REVIEW = "REVIEW"
+    EXECUTION = "EXECUTION"
+    MARKETING = "MARKETING"
+```
+
+### 5.2 Key Data Models
+
+All models must exactly match the Prisma schema definitions. Key models include:
+
+- `GraphExecution`: Execution metadata with stats
+- `GraphExecutionWithNodes`: Includes all node executions
+- `NodeExecutionResult`: Node execution with I/O data
+- `GraphModel`: Complete graph definition
+- `UserIntegrations`: OAuth credentials
+- `UsageTransactionMetadata`: Credit usage context
+- `NotificationEvent`: Individual notification data
+
+## 6. Security Requirements
+
+### 6.1 User Isolation
+- **CRITICAL**: All user-scoped operations MUST filter by user_id
+- Never expose data across user boundaries
+- Use database-level row security where possible
+
+### 6.2 Authentication
+- Service assumes authentication handled by API gateway
+- user_id parameter is trusted after authentication
+- No additional auth checks within service
+
+### 6.3 Data Protection
+- Encrypt sensitive integration credentials
+- Use HMAC for unsubscribe tokens
+- Never log sensitive data
+
+## 7. Performance Requirements
+
+### 7.1 Connection Management
+- Maintain persistent database connection
+- Use connection pooling (default: 10 connections)
+- Implement exponential backoff for retries
+
+### 7.2 Query Optimization
+- Use indexes for all WHERE clauses
+- Batch operations where possible
+- Limit default result sets (50 items)
+
+### 7.3 Event Publishing
+- Publish events asynchronously
+- Don't block on event delivery
+- Use fire-and-forget pattern
+
+## 8. Error Handling
+
+### 8.1 Standard Exceptions
+```python
+class InsufficientCredits(Exception):
+    """Raised when user lacks credits"""
+
+class NotFoundError(Exception):
+    """Raised when entity not found"""
+
+class AuthorizationError(Exception):
+    """Raised when user lacks access"""
+```
+
+### 8.2 Error Response Format
+```json
+{
+    "error": "error_type",
+    "message": "Human readable message",
+    "details": {}  // Optional additional context
+}
+```
+
+## 9. Testing Requirements
+
+### 9.1 Unit Tests
+- Test each method in isolation
+- Mock database calls
+- Verify user_id filtering
+
+### 9.2 Integration Tests
+- Test with real database
+- Verify transaction boundaries
+- Test concurrent operations
+
+### 9.3 Service Tests
+- Test HTTP endpoint generation
+- Verify serialization/deserialization
+- Test error handling
+
+## 10. Implementation Checklist
+
+### Phase 1: Core Service Setup
+- [ ] Create DatabaseManager class inheriting from AppService
+- [ ] Implement run_service() with database connection
+- [ ] Implement cleanup() with proper disconnect
+- [ ] Configure port from settings
+- [ ] Set up method exposure helper
+
+### Phase 2: Execution APIs (15 methods)
+- [ ] get_graph_execution
+- [ ] get_graph_executions
+- [ ] get_graph_execution_meta
+- [ ] create_graph_execution
+- [ ] update_graph_execution_start_time
+- [ ] update_graph_execution_stats
+- [ ] get_node_execution
+- [ ] get_node_executions
+- [ ] get_latest_node_execution
+- [ ] update_node_execution_status
+- [ ] update_node_execution_status_batch
+- [ ] update_node_execution_stats
+- [ ] upsert_execution_input
+- [ ] upsert_execution_output
+- [ ] get_execution_kv_data
+- [ ] set_execution_kv_data
+- [ ] get_block_error_stats
+
+### Phase 3: Graph APIs (4 methods)
+- [ ] get_node
+- [ ] get_graph
+- [ ] get_connected_output_nodes
+- [ ] get_graph_metadata
+
+### Phase 4: Credit APIs (2 methods)
+- [ ] get_credits
+- [ ] spend_credits
+
+### Phase 5: User APIs (4 methods)
+- [ ] get_user_metadata
+- [ ] update_user_metadata
+- [ ] get_user_integrations
+- [ ] update_user_integrations
+
+### Phase 6: Communication APIs (4 methods)
+- [ ] get_active_user_ids_in_timerange
+- [ ] get_user_email_by_id
+- [ ] get_user_email_verification
+- [ ] get_user_notification_preference
+
+### Phase 7: Notification APIs (5 methods)
+- [ ] create_or_add_to_user_notification_batch
+- [ ] empty_user_notification_batch
+- [ ] get_all_batches_by_type
+- [ ] get_user_notification_batch
+- [ ] get_user_notification_oldest_message_in_batch
+
+### Phase 8: Client Implementation
+- [ ] Create DatabaseManagerClient with sync methods
+- [ ] Create DatabaseManagerAsyncClient with async methods
+- [ ] Test client method generation
+- [ ] Verify type preservation
+
+### Phase 9: Integration Testing
+- [ ] Test all methods with real database
+- [ ] Verify user isolation
+- [ ] Test error scenarios
+- [ ] Performance testing
+- [ ] Event publishing verification
+
+### Phase 10: Deployment Validation
+- [ ] Deploy to test environment
+- [ ] Run integration test suite
+- [ ] Verify backward compatibility
+- [ ] Performance benchmarking
+- [ ] Production deployment
+
+## 11. Success Criteria
+
+The implementation is successful when:
+
+1. **All 40+ methods** produce identical outputs to the original
+2. **Performance** is within 10% of original implementation
+3. **All tests** pass without modification
+4. **No breaking changes** to any client code
+5. **Security boundaries** are maintained
+6. **Event publishing** works identically
+7. **Error handling** matches original behavior
+
+## 12. Critical Implementation Notes
+
+1. **DO NOT** modify any function signatures
+2. **DO NOT** change any return types
+3. **DO NOT** add new required parameters
+4. **DO NOT** remove any functionality
+5. **ALWAYS** maintain user_id isolation
+6. **ALWAYS** publish events for state changes
+7. **ALWAYS** use transactions for multi-step operations
+8. **ALWAYS** handle errors exactly as original
+
+This specification, when implemented correctly, will produce a drop-in replacement for the DatabaseManager that maintains 100% compatibility with the existing system.

autogpt_platform/autogpt-rs/NOTIFICATION_SERVICE.md

@@ -0,0 +1,765 @@
+# Notification Service Technical Specification
+
+## Overview
+
+The AutoGPT Platform Notification Service is a RabbitMQ-based asynchronous notification system that handles various types of user notifications including real-time alerts, batched notifications, and scheduled summaries. The service supports email delivery via Postmark and system alerts via Discord.
+
+## Architecture Overview
+
+### Core Components
+
+1. **NotificationManager Service** (`notifications.py`)
+   - AppService implementation with RabbitMQ integration
+   - Processes notification queues asynchronously
+   - Manages batching strategies and delivery timing
+   - Handles email templating and sending
+
+2. **RabbitMQ Message Broker**
+   - Multiple queues for different notification strategies
+   - Dead letter exchange for failed messages
+   - Topic-based routing for message distribution
+
+3. **Email Sender** (`email.py`)
+   - Postmark integration for email delivery
+   - Jinja2 template rendering
+   - HTML email composition with unsubscribe headers
+
+4. **Database Storage**
+   - Notification batching tables
+   - User preference storage
+   - Email verification tracking
+
+## Service Exposure Mechanism
+
+### AppService Framework
+
+The NotificationManager extends `AppService` which automatically exposes methods decorated with `@expose` as HTTP endpoints:
+
+```python
+class NotificationManager(AppService):
+    @expose
+    def queue_weekly_summary(self):
+        # Implementation
+    
+    @expose
+    def process_existing_batches(self, notification_types: list[NotificationType]):
+        # Implementation
+    
+    @expose
+    async def discord_system_alert(self, content: str):
+        # Implementation
+```
+
+### Automatic HTTP Endpoint Creation
+
+When the service starts, the AppService base class:
+1. Scans for methods with `@expose` decorator
+2. Creates FastAPI routes for each exposed method:
+   - Route path: `/{method_name}`
+   - HTTP method: POST
+   - Endpoint handler: Generated via `_create_fastapi_endpoint()`
+
+### Service Client Access
+
+#### NotificationManagerClient
+```python
+class NotificationManagerClient(AppServiceClient):
+    @classmethod
+    def get_service_type(cls):
+        return NotificationManager
+    
+    # Direct method references (sync)
+    process_existing_batches = NotificationManager.process_existing_batches
+    queue_weekly_summary = NotificationManager.queue_weekly_summary
+    
+    # Async-to-sync conversion
+    discord_system_alert = endpoint_to_sync(NotificationManager.discord_system_alert)
+```
+
+#### Client Usage Pattern
+```python
+# Get client instance
+client = get_service_client(NotificationManagerClient)
+
+# Call exposed methods via HTTP
+client.process_existing_batches([NotificationType.AGENT_RUN])
+client.queue_weekly_summary()
+client.discord_system_alert("System alert message")
+```
+
+### HTTP Communication Details
+
+1. **Service URL**: `http://{host}:{notification_service_port}`
+   - Default port: 8007
+   - Host: Configurable via settings
+
+2. **Request Format**:
+   - Method: POST
+   - Path: `/{method_name}`
+   - Body: JSON with method parameters
+
+3. **Client Implementation**:
+   - Uses `httpx` for HTTP requests
+   - Automatic retry on connection failures
+   - Configurable timeout (default from api_call_timeout)
+
+### Direct Function Calls
+
+The service also exposes two functions that can be called directly without going through the service client:
+
+```python
+# Sync version - used by ExecutionManager
+def queue_notification(event: NotificationEventModel) -> NotificationResult
+
+# Async version - used by credit system
+async def queue_notification_async(event: NotificationEventModel) -> NotificationResult
+```
+
+These functions:
+- Connect directly to RabbitMQ
+- Publish messages to appropriate queues
+- Return success/failure status
+- Are NOT exposed via HTTP
+
+## Message Queuing Architecture
+
+### RabbitMQ Configuration
+
+#### Exchanges
+```python
+NOTIFICATION_EXCHANGE = Exchange(name="notifications", type=ExchangeType.TOPIC)
+DEAD_LETTER_EXCHANGE = Exchange(name="dead_letter", type=ExchangeType.TOPIC)
+```
+
+#### Queues
+1. **immediate_notifications**
+   - Routing Key: `notification.immediate.#`
+   - Dead Letter: `failed.immediate`
+   - For: Critical alerts, errors
+
+2. **admin_notifications**
+   - Routing Key: `notification.admin.#`
+   - Dead Letter: `failed.admin`
+   - For: Refund requests, system alerts
+
+3. **summary_notifications**
+   - Routing Key: `notification.summary.#`
+   - Dead Letter: `failed.summary`
+   - For: Daily/weekly summaries
+
+4. **batch_notifications**
+   - Routing Key: `notification.batch.#`
+   - Dead Letter: `failed.batch`
+   - For: Agent runs, batched events
+
+5. **failed_notifications**
+   - Routing Key: `failed.#`
+   - For: All failed messages
+
+### Queue Strategies (QueueType enum)
+
+1. **IMMEDIATE**: Send right away (errors, critical notifications)
+2. **BATCH**: Batch for configured delay (agent runs)
+3. **SUMMARY**: Scheduled digest (daily/weekly summaries)
+4. **BACKOFF**: Exponential backoff strategy (defined but not fully implemented)
+5. **ADMIN**: Admin-only notifications
+
+## Notification Types
+
+### Enum Values (NotificationType)
+```python
+AGENT_RUN                  # Batch strategy, 1 day delay
+ZERO_BALANCE              # Backoff strategy, 60 min delay
+LOW_BALANCE               # Immediate strategy
+BLOCK_EXECUTION_FAILED    # Backoff strategy, 60 min delay
+CONTINUOUS_AGENT_ERROR    # Backoff strategy, 60 min delay
+DAILY_SUMMARY             # Summary strategy
+WEEKLY_SUMMARY            # Summary strategy
+MONTHLY_SUMMARY           # Summary strategy
+REFUND_REQUEST            # Admin strategy
+REFUND_PROCESSED          # Admin strategy
+```
+
+## Integration Points
+
+### 1. Scheduler Integration
+The scheduler service (`backend.executor.scheduler`) imports monitoring functions that call the NotificationManagerClient:
+
+```python
+from backend.monitoring import (
+    process_existing_batches,
+    process_weekly_summary,
+)
+
+# These are scheduled as cron jobs
+```
+
+### 2. Execution Manager Integration
+The ExecutionManager directly calls `queue_notification()` for:
+- Agent run completions
+- Low balance alerts
+
+```python
+from backend.notifications.notifications import queue_notification
+
+# Called after graph execution completes
+queue_notification(NotificationEventModel(
+    user_id=graph_exec.user_id,
+    type=NotificationType.AGENT_RUN,
+    data=AgentRunData(...)
+))
+```
+
+### 3. Credit System Integration
+The credit system uses `queue_notification_async()` for:
+- Refund requests
+- Refund processed notifications
+
+```python
+from backend.notifications.notifications import queue_notification_async
+
+await queue_notification_async(NotificationEventModel(
+    user_id=user_id,
+    type=NotificationType.REFUND_REQUEST,
+    data=RefundRequestData(...)
+))
+```
+
+### 4. Monitoring Module Wrappers
+The monitoring module provides wrapper functions that are used by the scheduler:
+
+```python
+# backend/monitoring/notification_monitor.py
+def process_existing_batches(**kwargs):
+    args = NotificationJobArgs(**kwargs)
+    get_notification_manager_client().process_existing_batches(
+        args.notification_types
+    )
+
+def process_weekly_summary(**kwargs):
+    get_notification_manager_client().queue_weekly_summary()
+```
+
+## Data Models
+
+### Base Event Model
+```typescript
+interface BaseEventModel {
+  type: NotificationType;
+  user_id: string;
+  created_at: string; // ISO datetime with timezone
+}
+```
+
+### Notification Event Model
+```typescript
+interface NotificationEventModel<T> extends BaseEventModel {
+  data: T;
+}
+```
+
+### Notification Data Types
+
+#### AgentRunData
+```typescript
+interface AgentRunData {
+  agent_name: string;
+  credits_used: number;
+  execution_time: number;
+  node_count: number;
+  graph_id: string;
+  outputs: Array<Record<string, any>>;
+}
+```
+
+#### ZeroBalanceData
+```typescript
+interface ZeroBalanceData {
+  last_transaction: number;
+  last_transaction_time: string; // ISO datetime with timezone
+  top_up_link: string;
+}
+```
+
+#### LowBalanceData
+```typescript
+interface LowBalanceData {
+  agent_name: string;
+  current_balance: number; // credits (100 = $1)
+  billing_page_link: string;
+  shortfall: number;
+}
+```
+
+#### BlockExecutionFailedData
+```typescript
+interface BlockExecutionFailedData {
+  block_name: string;
+  block_id: string;
+  error_message: string;
+  graph_id: string;
+  node_id: string;
+  execution_id: string;
+}
+```
+
+#### ContinuousAgentErrorData
+```typescript
+interface ContinuousAgentErrorData {
+  agent_name: string;
+  error_message: string;
+  graph_id: string;
+  execution_id: string;
+  start_time: string; // ISO datetime with timezone
+  error_time: string; // ISO datetime with timezone
+  attempts: number;
+}
+```
+
+#### Summary Data Types
+```typescript
+interface BaseSummaryData {
+  total_credits_used: number;
+  total_executions: number;
+  most_used_agent: string;
+  total_execution_time: number;
+  successful_runs: number;
+  failed_runs: number;
+  average_execution_time: number;
+  cost_breakdown: Record<string, number>;
+}
+
+interface DailySummaryData extends BaseSummaryData {
+  date: string; // ISO datetime with timezone
+}
+
+interface WeeklySummaryData extends BaseSummaryData {
+  start_date: string; // ISO datetime with timezone
+  end_date: string; // ISO datetime with timezone
+}
+```
+
+#### RefundRequestData
+```typescript
+interface RefundRequestData {
+  user_id: string;
+  user_name: string;
+  user_email: string;
+  transaction_id: string;
+  refund_request_id: string;
+  reason: string;
+  amount: number;
+  balance: number;
+}
+```
+
+### Summary Parameters
+```typescript
+interface BaseSummaryParams {
+  start_date: string; // ISO datetime with timezone
+  end_date: string; // ISO datetime with timezone
+}
+
+interface DailySummaryParams extends BaseSummaryParams {
+  date: string; // ISO datetime with timezone
+}
+
+interface WeeklySummaryParams extends BaseSummaryParams {
+  start_date: string; // ISO datetime with timezone
+  end_date: string; // ISO datetime with timezone
+}
+```
+
+## Database Schema
+
+### NotificationEvent Table
+```sql
+model NotificationEvent {
+  id        String   @id @default(uuid())
+  createdAt DateTime @default(now())
+  updatedAt DateTime @default(now()) @updatedAt
+  UserNotificationBatch   UserNotificationBatch? @relation
+  userNotificationBatchId String?
+  type NotificationType
+  data Json
+  @@index([userNotificationBatchId])
+}
+```
+
+### UserNotificationBatch Table
+```sql
+model UserNotificationBatch {
+  id        String   @id @default(uuid())
+  createdAt DateTime @default(now())
+  updatedAt DateTime @default(now()) @updatedAt
+  userId String
+  User   User   @relation
+  type NotificationType
+  Notifications NotificationEvent[]
+  @@unique([userId, type])
+}
+```
+
+## API Methods
+
+### Exposed Service Methods (via HTTP)
+
+#### queue_weekly_summary()
+- **HTTP Endpoint**: `POST /queue_weekly_summary`
+- **Purpose**: Triggers weekly summary generation for all active users
+- **Process**: 
+  1. Runs in background executor
+  2. Queries users active in last 7 days
+  3. Queues summary notification for each user
+- **Used by**: Scheduler service (via cron)
+
+#### process_existing_batches(notification_types: list[NotificationType])
+- **HTTP Endpoint**: `POST /process_existing_batches`
+- **Purpose**: Processes aged-out batches for specified notification types
+- **Process**:
+  1. Runs in background executor
+  2. Retrieves all batches for given types
+  3. Checks if oldest message exceeds max delay
+  4. Sends batched email if aged out
+  5. Clears processed batches
+- **Used by**: Scheduler service (via cron)
+
+#### discord_system_alert(content: str)
+- **HTTP Endpoint**: `POST /discord_system_alert`
+- **Purpose**: Sends system alerts to Discord channel
+- **Async**: Yes (converted to sync by client)
+- **Used by**: Monitoring services
+
+### Direct Queue Functions (not via HTTP)
+
+#### queue_notification(event: NotificationEventModel) -> NotificationResult
+- **Purpose**: Queue a notification (sync version)
+- **Used by**: ExecutionManager (same process)
+- **Direct RabbitMQ**: Yes
+
+#### queue_notification_async(event: NotificationEventModel) -> NotificationResult
+- **Purpose**: Queue a notification (async version)
+- **Used by**: Credit system (async context)
+- **Direct RabbitMQ**: Yes
+
+## Message Processing Flow
+
+### 1. Message Routing
+```python
+def get_routing_key(event_type: NotificationType) -> str:
+    strategy = NotificationTypeOverride(event_type).strategy
+    if strategy == QueueType.IMMEDIATE:
+        return f"notification.immediate.{event_type.value}"
+    elif strategy == QueueType.BATCH:
+        return f"notification.batch.{event_type.value}"
+    # ... etc
+```
+
+### 2. Queue Processing Methods
+
+#### _process_immediate(message: str) -> bool
+1. Parse message to NotificationEventModel
+2. Retrieve user email
+3. Check user preferences and email verification
+4. Send email immediately via EmailSender
+5. Return True if successful
+
+#### _process_batch(message: str) -> bool
+1. Parse message to NotificationEventModel
+2. Add to user's notification batch
+3. Check if batch is old enough (based on delay)
+4. If aged out:
+   - Retrieve all batch messages
+   - Send combined email
+   - Clear batch
+5. Return True if processed or batched
+
+#### _process_summary(message: str) -> bool
+1. Parse message to SummaryParamsEventModel
+2. Gather summary data (credits, executions, etc.)
+   - **Note**: Currently returns hardcoded placeholder data
+3. Format and send summary email
+4. Return True if successful
+
+#### _process_admin_message(message: str) -> bool
+1. Parse message
+2. Send to configured admin email
+3. No user preference checks
+4. Return True if successful
+
+## Email Delivery
+
+### EmailSender Class
+
+#### Template Loading
+- Base template: `templates/base.html.jinja2`
+- Notification templates: `templates/{notification_type}.html.jinja2`
+- Subject templates from NotificationTypeOverride
+- **Note**: Templates use `.html.jinja2` extension, not just `.html`
+
+#### Email Composition
+```python
+def send_templated(
+    notification: NotificationType,
+    user_email: str,
+    data: NotificationEventModel | list[NotificationEventModel],
+    user_unsub_link: str | None = None
+)
+```
+
+#### Postmark Integration
+- API Token: `settings.secrets.postmark_server_api_token`
+- Sender Email: `settings.config.postmark_sender_email`
+- Headers:
+  - `List-Unsubscribe-Post: List-Unsubscribe=One-Click`
+  - `List-Unsubscribe: <{unsubscribe_link}>`
+
+## User Preferences and Permissions
+
+### Email Verification Check
+```python
+validated_email = get_db().get_user_email_verification(user_id)
+```
+
+### Notification Preferences
+```python
+preferences = get_db().get_user_notification_preference(user_id).preferences
+# Returns dict[NotificationType, bool]
+```
+
+### Preference Fields in User Model
+- `notifyOnAgentRun`
+- `notifyOnZeroBalance`
+- `notifyOnLowBalance`
+- `notifyOnBlockExecutionFailed`
+- `notifyOnContinuousAgentError`
+- `notifyOnDailySummary`
+- `notifyOnWeeklySummary`
+- `notifyOnMonthlySummary`
+
+### Unsubscribe Link Generation
+```python
+def generate_unsubscribe_link(user_id: str) -> str:
+    # HMAC-SHA256 signed token
+    # Format: base64(user_id:signature_hex)
+    # URL: {platform_base_url}/api/email/unsubscribe?token={token}
+```
+
+## Batching Logic
+
+### Batch Delays (get_batch_delay)
+
+**Note**: The delay configuration exists for multiple notification types, but only notifications with `QueueType.BATCH` strategy actually use batching. Others use different strategies:
+
+- `AGENT_RUN`: 1 day (Strategy: BATCH - actually uses batching)
+- `ZERO_BALANCE`: 60 minutes configured (Strategy: BACKOFF - not batched)
+- `LOW_BALANCE`: 60 minutes configured (Strategy: IMMEDIATE - sent immediately)
+- `BLOCK_EXECUTION_FAILED`: 60 minutes configured (Strategy: BACKOFF - not batched)
+- `CONTINUOUS_AGENT_ERROR`: 60 minutes configured (Strategy: BACKOFF - not batched)
+
+### Batch Processing
+1. Messages added to UserNotificationBatch
+2. Oldest message timestamp tracked
+3. When `oldest_timestamp + delay < now()`:
+   - Batch is processed
+   - All messages sent in single email
+   - Batch cleared
+
+## Service Lifecycle
+
+### Startup
+1. Initialize FastAPI app with exposed endpoints
+2. Start HTTP server on port 8007
+3. Initialize RabbitMQ connection
+4. Create/verify exchanges and queues
+5. Set up queue consumers
+6. Start processing loop
+
+### Main Loop
+```python
+while self.running:
+    await self._run_queue(immediate_queue, self._process_immediate, ...)
+    await self._run_queue(admin_queue, self._process_admin_message, ...)
+    await self._run_queue(batch_queue, self._process_batch, ...)
+    await self._run_queue(summary_queue, self._process_summary, ...)
+    await asyncio.sleep(0.1)
+```
+
+### Shutdown
+1. Set `running = False`
+2. Disconnect RabbitMQ
+3. Cleanup resources
+
+## Configuration
+
+### Environment Variables
+```python
+# Service Configuration
+notification_service_port: int = 8007
+
+# Email Configuration  
+postmark_sender_email: str = "invalid@invalid.com"
+refund_notification_email: str = "refund@agpt.co"
+
+# Security
+unsubscribe_secret_key: str = ""
+
+# Secrets
+postmark_server_api_token: str = ""
+postmark_webhook_token: str = ""
+discord_bot_token: str = ""
+
+# Platform URLs
+platform_base_url: str
+frontend_base_url: str
+```
+
+## Error Handling
+
+### Message Processing Errors
+- Failed messages sent to dead letter queue
+- Validation errors logged but don't crash service
+- Connection errors trigger retry with `@continuous_retry()`
+
+### RabbitMQ ACK/NACK Protocol
+- Success: `message.ack()`
+- Failure: `message.reject(requeue=False)`
+- Timeout/Queue empty: Continue loop
+
+### HTTP Endpoint Errors
+- Wrapped in RemoteCallError for client
+- Automatic retry available via client configuration
+- Connection failures tracked and logged
+
+## System Integrations
+
+### DatabaseManagerClient
+- User email retrieval
+- Email verification status
+- Notification preferences
+- Batch management
+- Active user queries
+
+### Discord Integration
+- Uses SendDiscordMessageBlock
+- Configured via discord_bot_token
+- For system alerts only
+
+## Implementation Checklist
+
+1. **Core Service**
+   - [ ] AppService implementation with @expose decorators
+   - [ ] FastAPI endpoint generation
+   - [ ] RabbitMQ connection management
+   - [ ] Queue consumer setup
+   - [ ] Message routing logic
+
+2. **Service Client**
+   - [ ] NotificationManagerClient implementation
+   - [ ] HTTP client configuration
+   - [ ] Method mapping to service endpoints
+   - [ ] Async-to-sync conversions
+
+3. **Message Processing**
+   - [ ] Parse and validate all notification types
+   - [ ] Implement all queue strategies
+   - [ ] Batch management with delays
+   - [ ] Summary data gathering
+
+4. **Email Delivery**
+   - [ ] Postmark integration
+   - [ ] Template loading and rendering
+   - [ ] Unsubscribe header support
+   - [ ] HTML email composition
+
+5. **User Management**
+   - [ ] Preference checking
+   - [ ] Email verification
+   - [ ] Unsubscribe link generation
+   - [ ] Daily limit tracking
+
+6. **Batching System**
+   - [ ] Database batch operations
+   - [ ] Age-out checking
+   - [ ] Batch clearing after send
+   - [ ] Oldest message tracking
+
+7. **Error Handling**
+   - [ ] Dead letter queue routing
+   - [ ] Message rejection on failure
+   - [ ] Continuous retry wrapper
+   - [ ] Validation error logging
+
+8. **Scheduled Operations**
+   - [ ] Weekly summary generation
+   - [ ] Batch processing triggers
+   - [ ] Background executor usage
+
+## Security Considerations
+
+1. **Service-to-Service Communication**:
+   - HTTP endpoints only accessible internally
+   - No authentication on service endpoints (internal network only)
+   - Service discovery via host/port configuration
+
+2. **User Security**:
+   - Email verification required for all user notifications
+   - Unsubscribe tokens HMAC-signed
+   - User preferences enforced
+
+3. **Admin Notifications**:
+   - Separate queue, no user preference checks
+   - Fixed admin email configuration
+
+## Testing Considerations
+
+1. **Unit Tests**
+   - Message parsing and validation
+   - Routing key generation
+   - Batch delay calculations
+   - Template rendering
+
+2. **Integration Tests**
+   - HTTP endpoint accessibility
+   - Service client method calls
+   - RabbitMQ message flow
+   - Database batch operations
+   - Email sending (mock Postmark)
+
+3. **Load Tests**
+   - High volume message processing
+   - Concurrent HTTP requests
+   - Batch accumulation limits
+   - Memory usage under load
+
+## Implementation Status Notes
+
+1. **Backoff Strategy**: While `QueueType.BACKOFF` is defined and used by several notification types (ZERO_BALANCE, BLOCK_EXECUTION_FAILED, CONTINUOUS_AGENT_ERROR), the actual exponential backoff processing logic is not implemented. These messages are routed to immediate queue.
+
+2. **Summary Data**: The `_gather_summary_data()` method currently returns hardcoded placeholder values rather than querying actual execution data from the database.
+
+3. **Batch Processing**: Only `AGENT_RUN` notifications actually use batch processing. Other notification types with configured delays use different strategies (IMMEDIATE or BACKOFF).
+
+## Future Enhancements
+
+1. **Additional Channels**
+   - SMS notifications (not implemented)
+   - Webhook notifications (not implemented)
+   - In-app notifications
+
+2. **Advanced Batching**
+   - Dynamic batch sizes
+   - Priority-based processing
+   - Custom delay configurations
+
+3. **Analytics**
+   - Delivery tracking
+   - Open/click rates
+   - Notification effectiveness metrics
+
+4. **Service Improvements**
+   - Authentication for HTTP endpoints
+   - Rate limiting per user
+   - Circuit breaker patterns
+   - Implement actual backoff processing for BACKOFF strategy
+   - Implement real summary data gathering

autogpt_platform/autogpt-rs/SCHEDULER.md

@@ -0,0 +1,474 @@
+# AutoGPT Platform Scheduler Technical Specification
+
+## Executive Summary
+
+This document provides a comprehensive technical specification for the AutoGPT Platform Scheduler service. The scheduler is responsible for managing scheduled graph executions, system monitoring tasks, and periodic maintenance operations. This specification is designed to enable a complete reimplementation that maintains 100% compatibility with the existing system.
+
+## Table of Contents
+
+1. [System Architecture](#system-architecture)
+2. [Service Implementation](#service-implementation)
+3. [Data Models](#data-models)
+4. [API Endpoints](#api-endpoints)
+5. [Database Schema](#database-schema)
+6. [External Dependencies](#external-dependencies)
+7. [Authentication & Authorization](#authentication--authorization)
+8. [Process Management](#process-management)
+9. [Error Handling](#error-handling)
+10. [Configuration](#configuration)
+11. [Testing Strategy](#testing-strategy)
+
+## System Architecture
+
+### Overview
+
+The scheduler operates as an independent microservice within the AutoGPT platform, implementing the `AppService` base class pattern. It runs on a dedicated port (default: 8003) and exposes HTTP/JSON-RPC endpoints for communication with other services.
+
+### Core Components
+
+1. **Scheduler Service** (`backend/executor/scheduler.py:156`)
+   - Extends `AppService` base class
+   - Manages APScheduler instance with multiple jobstores
+   - Handles lifecycle management and graceful shutdown
+
+2. **Scheduler Client** (`backend/executor/scheduler.py:354`)
+   - Extends `AppServiceClient` base class
+   - Provides async/sync method wrappers for RPC calls
+   - Implements automatic retry and connection pooling
+
+3. **Entry Points**
+   - Main executable: `backend/scheduler.py`
+   - Service launcher: `backend/app.py`
+
+## Service Implementation
+
+### Base Service Pattern
+
+```python
+class Scheduler(AppService):
+    scheduler: BlockingScheduler
+    
+    def __init__(self, register_system_tasks: bool = True):
+        self.register_system_tasks = register_system_tasks
+    
+    @classmethod
+    def get_port(cls) -> int:
+        return config.execution_scheduler_port  # Default: 8003
+    
+    @classmethod
+    def db_pool_size(cls) -> int:
+        return config.scheduler_db_pool_size  # Default: 3
+    
+    def run_service(self):
+        # Initialize scheduler with jobstores
+        # Register system tasks if enabled
+        # Start scheduler blocking loop
+    
+    def cleanup(self):
+        # Graceful shutdown of scheduler
+        # Wait=False for immediate termination
+```
+
+### Jobstore Configuration
+
+The scheduler uses three distinct jobstores:
+
+1. **EXECUTION** (`Jobstores.EXECUTION.value`)
+   - Type: SQLAlchemyJobStore
+   - Table: `apscheduler_jobs`
+   - Purpose: Graph execution schedules
+   - Persistence: Required
+
+2. **BATCHED_NOTIFICATIONS** (`Jobstores.BATCHED_NOTIFICATIONS.value`)
+   - Type: SQLAlchemyJobStore
+   - Table: `apscheduler_jobs_batched_notifications`
+   - Purpose: Batched notification processing
+   - Persistence: Required
+
+3. **WEEKLY_NOTIFICATIONS** (`Jobstores.WEEKLY_NOTIFICATIONS.value`)
+   - Type: MemoryJobStore
+   - Purpose: Weekly summary notifications
+   - Persistence: Not required
+
+### System Tasks
+
+When `register_system_tasks=True`, the following monitoring tasks are registered:
+
+1. **Weekly Summary Processing**
+   - Job ID: `process_weekly_summary`
+   - Schedule: `0 * * * *` (hourly)
+   - Function: `monitoring.process_weekly_summary`
+   - Jobstore: WEEKLY_NOTIFICATIONS
+
+2. **Late Execution Monitoring**
+   - Job ID: `report_late_executions`
+   - Schedule: Interval (config.execution_late_notification_threshold_secs)
+   - Function: `monitoring.report_late_executions`
+   - Jobstore: EXECUTION
+
+3. **Block Error Rate Monitoring**
+   - Job ID: `report_block_error_rates`
+   - Schedule: Interval (config.block_error_rate_check_interval_secs)
+   - Function: `monitoring.report_block_error_rates`
+   - Jobstore: EXECUTION
+
+4. **Cloud Storage Cleanup**
+   - Job ID: `cleanup_expired_files`
+   - Schedule: Interval (config.cloud_storage_cleanup_interval_hours * 3600)
+   - Function: `cleanup_expired_files`
+   - Jobstore: EXECUTION
+
+## Data Models
+
+### GraphExecutionJobArgs
+
+```python
+class GraphExecutionJobArgs(BaseModel):
+    user_id: str
+    graph_id: str
+    graph_version: int
+    cron: str
+    input_data: BlockInput
+    input_credentials: dict[str, CredentialsMetaInput] = Field(default_factory=dict)
+```
+
+### GraphExecutionJobInfo
+
+```python
+class GraphExecutionJobInfo(GraphExecutionJobArgs):
+    id: str
+    name: str
+    next_run_time: str
+    
+    @staticmethod
+    def from_db(job_args: GraphExecutionJobArgs, job_obj: JobObj) -> "GraphExecutionJobInfo":
+        return GraphExecutionJobInfo(
+            id=job_obj.id,
+            name=job_obj.name,
+            next_run_time=job_obj.next_run_time.isoformat(),
+            **job_args.model_dump(),
+        )
+```
+
+### NotificationJobArgs
+
+```python
+class NotificationJobArgs(BaseModel):
+    notification_types: list[NotificationType]
+    cron: str
+```
+
+### CredentialsMetaInput
+
+```python
+class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
+    id: str
+    title: Optional[str] = None
+    provider: CP
+    type: CT
+```
+
+## API Endpoints
+
+All endpoints are exposed via the `@expose` decorator and follow HTTP POST JSON-RPC pattern.
+
+### 1. Add Graph Execution Schedule
+
+**Endpoint**: `/add_graph_execution_schedule`
+
+**Request Body**:
+```json
+{
+    "user_id": "string",
+    "graph_id": "string",
+    "graph_version": "integer",
+    "cron": "string (crontab format)",
+    "input_data": {},
+    "input_credentials": {},
+    "name": "string (optional)"
+}
+```
+
+**Response**: `GraphExecutionJobInfo`
+
+**Behavior**:
+- Creates APScheduler job with CronTrigger
+- Uses job kwargs to store GraphExecutionJobArgs
+- Sets `replace_existing=True` to allow updates
+- Returns job info with generated ID and next run time
+
+### 2. Delete Graph Execution Schedule
+
+**Endpoint**: `/delete_graph_execution_schedule`
+
+**Request Body**:
+```json
+{
+    "schedule_id": "string",
+    "user_id": "string"
+}
+```
+
+**Response**: `GraphExecutionJobInfo`
+
+**Behavior**:
+- Validates schedule exists in EXECUTION jobstore
+- Verifies user_id matches job's user_id
+- Removes job from scheduler
+- Returns deleted job info
+
+**Errors**:
+- `NotFoundError`: If job doesn't exist
+- `NotAuthorizedError`: If user_id doesn't match
+
+### 3. Get Graph Execution Schedules
+
+**Endpoint**: `/get_graph_execution_schedules`
+
+**Request Body**:
+```json
+{
+    "graph_id": "string (optional)",
+    "user_id": "string (optional)"
+}
+```
+
+**Response**: `list[GraphExecutionJobInfo]`
+
+**Behavior**:
+- Retrieves all jobs from EXECUTION jobstore
+- Filters by graph_id and/or user_id if provided
+- Validates job kwargs as GraphExecutionJobArgs
+- Skips invalid jobs (ValidationError)
+- Only returns jobs with next_run_time set
+
+### 4. System Task Endpoints
+
+- `/execute_process_existing_batches` - Trigger batch processing
+- `/execute_process_weekly_summary` - Trigger weekly summary
+- `/execute_report_late_executions` - Trigger late execution report
+- `/execute_report_block_error_rates` - Trigger error rate report
+- `/execute_cleanup_expired_files` - Trigger file cleanup
+
+### 5. Health Check
+
+**Endpoints**: `/health_check`, `/health_check_async`
+**Methods**: POST, GET
+**Response**: "OK"
+
+## Database Schema
+
+### APScheduler Tables
+
+The scheduler relies on APScheduler's SQLAlchemy jobstore schema:
+
+1. **apscheduler_jobs**
+   - id: VARCHAR (PRIMARY KEY)
+   - next_run_time: FLOAT
+   - job_state: BLOB/BYTEA (pickled job data)
+
+2. **apscheduler_jobs_batched_notifications**
+   - Same schema as above
+   - Separate table for notification jobs
+
+### Database Configuration
+
+- URL extraction from `DIRECT_URL` environment variable
+- Schema extraction from URL query parameter
+- Connection pooling: `pool_size=db_pool_size()`, `max_overflow=0`
+- Metadata schema binding for multi-schema support
+
+## External Dependencies
+
+### Required Services
+
+1. **PostgreSQL Database**
+   - Connection via `DIRECT_URL` environment variable
+   - Schema support via URL parameter
+   - APScheduler job persistence
+
+2. **ExecutionManager** (via execution_utils)
+   - Function: `add_graph_execution`
+   - Called by: `execute_graph` job function
+   - Purpose: Create graph execution entries
+
+3. **NotificationManager** (via monitoring module)
+   - Functions: `process_existing_batches`, `queue_weekly_summary`
+   - Purpose: Notification processing
+
+4. **Cloud Storage** (via util.cloud_storage)
+   - Function: `cleanup_expired_files_async`
+   - Purpose: File expiration management
+
+### Python Dependencies
+
+```
+apscheduler>=3.10.0
+sqlalchemy
+pydantic>=2.0
+httpx
+uvicorn
+fastapi
+python-dotenv
+tenacity
+```
+
+## Authentication & Authorization
+
+### Service-Level Authentication
+
+- No authentication required between internal services
+- Services communicate via trusted internal network
+- Host/port configuration via environment variables
+
+### User-Level Authorization
+
+- Authorization check in `delete_graph_execution_schedule`:
+  - Validates `user_id` matches job's `user_id`
+  - Raises `NotAuthorizedError` on mismatch
+- No authorization for read operations (security consideration)
+
+## Process Management
+
+### Startup Sequence
+
+1. Load environment variables via `dotenv.load_dotenv()`
+2. Extract database URL and schema
+3. Initialize BlockingScheduler with configured jobstores
+4. Register system tasks (if enabled)
+5. Add job execution listener
+6. Start scheduler (blocking)
+
+### Shutdown Sequence
+
+1. Receive SIGTERM/SIGINT signal
+2. Call `cleanup()` method
+3. Shutdown scheduler with `wait=False`
+4. Terminate process
+
+### Multi-Process Architecture
+
+- Runs as independent process via `AppProcess`
+- Started by `run_processes()` in app.py
+- Can run in foreground or background mode
+- Automatic signal handling for graceful shutdown
+
+## Error Handling
+
+### Job Execution Errors
+
+- Listener on `EVENT_JOB_ERROR` logs failures
+- Errors in job functions are caught and logged
+- Jobs continue to run on schedule despite failures
+
+### RPC Communication Errors
+
+- Automatic retry via `@conn_retry` decorator
+- Configurable retry count and timeout
+- Connection pooling with self-healing
+
+### Database Connection Errors
+
+- APScheduler handles reconnection automatically
+- Pool exhaustion prevented by `max_overflow=0`
+- Connection errors logged but don't crash service
+
+## Configuration
+
+### Environment Variables
+
+- `DIRECT_URL`: PostgreSQL connection string (required)
+- `{SERVICE_NAME}_HOST`: Override service host
+- Standard logging configuration
+
+### Config Settings (via Config class)
+
+```python
+execution_scheduler_port: int = 8003
+scheduler_db_pool_size: int = 3
+execution_late_notification_threshold_secs: int
+block_error_rate_check_interval_secs: int
+cloud_storage_cleanup_interval_hours: int
+pyro_host: str = "localhost"
+pyro_client_comm_timeout: float = 15
+pyro_client_comm_retry: int = 3
+rpc_client_call_timeout: int = 300
+```
+
+## Testing Strategy
+
+### Unit Tests
+
+1. Mock APScheduler for job management tests
+2. Mock database connections
+3. Test each RPC endpoint independently
+4. Verify job serialization/deserialization
+
+### Integration Tests
+
+1. Test with real PostgreSQL instance
+2. Verify job persistence across restarts
+3. Test concurrent job execution
+4. Validate cron expression parsing
+
+### Critical Test Cases
+
+1. **Job Persistence**: Jobs survive scheduler restart
+2. **User Isolation**: Users can only delete their own jobs
+3. **Concurrent Access**: Multiple clients can add/remove jobs
+4. **Error Recovery**: Service recovers from database outages
+5. **Resource Cleanup**: No memory/connection leaks
+
+## Implementation Notes
+
+### Key Design Decisions
+
+1. **BlockingScheduler vs AsyncIOScheduler**: Uses BlockingScheduler for simplicity and compatibility with multiprocessing architecture
+
+2. **Job Storage**: All job arguments stored in kwargs, not in job name/id
+
+3. **Separate Jobstores**: Isolation between execution and notification jobs
+
+4. **No Authentication**: Relies on network isolation for security
+
+### Migration Considerations
+
+1. APScheduler job format must be preserved exactly
+2. Database schema cannot change without migration
+3. RPC protocol must maintain compatibility
+4. Environment variables must match existing deployment
+
+### Performance Considerations
+
+1. Database pool size limited to prevent exhaustion
+2. No job result storage (fire-and-forget pattern)
+3. Minimal logging in hot paths
+4. Connection reuse via pooling
+
+## Appendix: Critical Implementation Details
+
+### Event Loop Management
+
+```python
+@thread_cached
+def get_event_loop():
+    return asyncio.new_event_loop()
+
+def execute_graph(**kwargs):
+    get_event_loop().run_until_complete(_execute_graph(**kwargs))
+```
+
+### Job Function Execution Context
+
+- Jobs run in scheduler's process space
+- Each job gets fresh event loop
+- No shared state between job executions
+- Exceptions logged but don't affect scheduler
+
+### Cron Expression Format
+
+- Uses standard crontab format via `CronTrigger.from_crontab()`
+- Supports: minute hour day month day_of_week
+- Special strings: @yearly, @monthly, @weekly, @daily, @hourly
+
+This specification provides all necessary details to reimplement the scheduler service while maintaining 100% compatibility with the existing system. Any deviation from these specifications may result in system incompatibility.

autogpt_platform/autogpt-rs/websocket/.github/workflows/ci.yml

@@ -0,0 +1,85 @@
+name: CI
+
+on:
+  push:
+    branches: [ main, master ]
+  pull_request:
+    branches: [ main, master ]
+
+env:
+  CARGO_TERM_COLOR: always
+  RUSTFLAGS: "-D warnings"
+
+jobs:
+  test:
+    name: Test
+    runs-on: ubuntu-latest
+    services:
+      redis:
+        image: redis:7
+        options: >-
+          --health-cmd "redis-cli ping"
+          --health-interval 10s
+          --health-timeout 5s
+          --health-retries 5
+        ports:
+          - 6379:6379
+    steps:
+    - uses: actions/checkout@v3
+    - uses: dtolnay/rust-toolchain@stable
+    - uses: Swatinem/rust-cache@v2
+    - name: Run tests
+      run: cargo test
+      env:
+        REDIS_URL: redis://localhost:6379
+
+  clippy:
+    name: Clippy
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - uses: dtolnay/rust-toolchain@stable
+      with:
+        components: clippy
+    - uses: Swatinem/rust-cache@v2
+    - name: Run clippy
+      run: |
+        cargo clippy -- \
+          -D warnings \
+          -D clippy::unwrap_used \
+          -D clippy::panic \
+          -D clippy::unimplemented \
+          -D clippy::todo
+
+  fmt:
+    name: Format
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - uses: dtolnay/rust-toolchain@stable
+      with:
+        components: rustfmt
+    - name: Check formatting
+      run: cargo fmt -- --check
+
+  bench:
+    name: Benchmarks
+    runs-on: ubuntu-latest
+    services:
+      redis:
+        image: redis:7
+        options: >-
+          --health-cmd "redis-cli ping"
+          --health-interval 10s
+          --health-timeout 5s
+          --health-retries 5
+        ports:
+          - 6379:6379
+    steps:
+    - uses: actions/checkout@v3
+    - uses: dtolnay/rust-toolchain@stable
+    - uses: Swatinem/rust-cache@v2
+    - name: Build benchmarks
+      run: cargo bench --no-run
+      env:
+        REDIS_URL: redis://localhost:6379

autogpt_platform/autogpt-rs/websocket/Cargo.toml

@@ -0,0 +1,60 @@
+[package]
+name = "websocket"
+authors = ["AutoGPT Team"]
+description = "WebSocket server for AutoGPT Platform"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+name = "websocket"
+path = "src/lib.rs"
+
+[[bin]]
+name = "websocket"
+path = "src/main.rs"
+
+[dependencies]
+axum = { version = "0.7.5", features = ["ws"] }
+jsonwebtoken = "9.3.0"
+redis = { version = "0.25.4", features = ["aio", "tokio-comp"] }
+serde = { version = "1.0.204", features = ["derive"] }
+serde_json = "1.0.120"
+tokio = { version = "1.38.1", features = ["rt-multi-thread", "macros", "net", "sync", "time", "io-util"] }
+tower-http = { version = "0.5.2", features = ["cors"] }
+tracing = "0.1"
+tracing-subscriber = { version = "0.3", features = ["env-filter"] }
+futures = "0.3"
+dotenvy = "0.15"
+clap = { version = "4.5.4", features = ["derive"] }
+toml = "0.8"
+
+[dev-dependencies]
+# Load testing and profiling
+tokio-console = "0.1"
+criterion = { version = "0.5", features = ["async_tokio"] }
+pprof = { version = "0.13", features = ["flamegraph", "criterion"] }
+# Dependencies for benchmarks
+tokio-tungstenite = "0.24"
+futures-util = "0.3"
+chrono = "0.4"
+
+[[bench]]
+name = "websocket_bench"
+harness = false
+
+[[example]]
+name = "ws_client_example"
+required-features = []
+
+[profile.release]
+opt-level = 3        # Maximum optimization
+lto = true          # Enable link-time optimization
+codegen-units = 1   # Reduce parallel code generation units to increase optimization
+panic = "abort"     # Remove panic unwinding to reduce binary size
+strip = true        # Strip symbols from binary
+
+[profile.bench]
+opt-level = 3        # Maximum optimization
+lto = true          # Enable link-time optimization
+codegen-units = 1   # Reduce parallel code generation units to increase optimization
+debug = true        # Keep debug symbols for profiling

autogpt_platform/autogpt-rs/websocket/README.md

@@ -0,0 +1,412 @@
+# WebSocket API Technical Specification
+
+## Overview
+
+This document provides a complete technical specification for the AutoGPT Platform WebSocket API (`ws_api.py`). The WebSocket API provides real-time updates for graph and node execution events, enabling clients to monitor workflow execution progress.
+
+## Architecture Overview
+
+### Core Components
+
+1. **WebSocket Server** (`ws_api.py`)
+   - FastAPI application with WebSocket endpoint
+   - Handles client connections and message routing
+   - Authenticates clients via JWT tokens
+   - Manages subscriptions to execution events
+
+2. **Connection Manager** (`conn_manager.py`)
+   - Maintains active WebSocket connections
+   - Manages channel subscriptions
+   - Routes execution events to subscribed clients
+   - Handles connection lifecycle
+
+3. **Event Broadcasting System**
+   - Redis Pub/Sub based event bus
+   - Asynchronous event broadcaster
+   - Execution event propagation from backend services
+
+## API Endpoint
+
+### WebSocket Endpoint
+- **URL**: `/ws`
+- **Protocol**: WebSocket (ws:// or wss://)
+- **Query Parameters**:
+  - `token` (required when auth enabled): JWT authentication token
+
+## Authentication
+
+### JWT Token Authentication
+- **When Required**: When `settings.config.enable_auth` is `True`
+- **Token Location**: Query parameter `?token=<JWT_TOKEN>`
+- **Token Validation**:
+  ```python
+  payload = parse_jwt_token(token)
+  user_id = payload.get("sub")
+  ```
+- **JWT Requirements**:
+  - Algorithm: Configured via `settings.JWT_ALGORITHM`
+  - Secret Key: Configured via `settings.JWT_SECRET_KEY`
+  - Audience: Must be "authenticated"
+  - Claims: Must contain `sub` (user ID)
+
+### Authentication Failures
+- **4001**: Missing authentication token
+- **4002**: Invalid token (missing user ID)
+- **4003**: Invalid token (parsing error or expired)
+
+### No-Auth Mode
+- When `settings.config.enable_auth` is `False`
+- Uses `DEFAULT_USER_ID` from `backend.data.user`
+
+## Message Protocol
+
+### Message Format
+All messages use JSON format with the following structure:
+
+```typescript
+interface WSMessage {
+  method: WSMethod;
+  data?: Record<string, any> | any[] | string;
+  success?: boolean;
+  channel?: string;
+  error?: string;
+}
+```
+
+### Message Methods (WSMethod enum)
+
+1. **Client-to-Server Methods**:
+   - `SUBSCRIBE_GRAPH_EXEC`: Subscribe to specific graph execution
+   - `SUBSCRIBE_GRAPH_EXECS`: Subscribe to all executions of a graph
+   - `UNSUBSCRIBE`: Unsubscribe from a channel
+   - `HEARTBEAT`: Keep-alive ping
+
+2. **Server-to-Client Methods**:
+   - `GRAPH_EXECUTION_EVENT`: Graph execution status update
+   - `NODE_EXECUTION_EVENT`: Node execution status update
+   - `ERROR`: Error message
+   - `HEARTBEAT`: Keep-alive pong
+
+## Subscription Models
+
+### Subscribe to Specific Graph Execution
+```typescript
+interface WSSubscribeGraphExecutionRequest {
+  graph_exec_id: string;
+}
+```
+**Channel Key Format**: `{user_id}|graph_exec#{graph_exec_id}`
+
+### Subscribe to All Graph Executions
+```typescript
+interface WSSubscribeGraphExecutionsRequest {
+  graph_id: string;
+}
+```
+**Channel Key Format**: `{user_id}|graph#{graph_id}|executions`
+
+## Event Models
+
+### Graph Execution Event
+```typescript
+interface GraphExecutionEvent {
+  event_type: "graph_execution_update";
+  id: string;                    // graph_exec_id
+  user_id: string;
+  graph_id: string;
+  graph_version: number;
+  preset_id?: string;
+  status: ExecutionStatus;
+  started_at: string;            // ISO datetime
+  ended_at: string;              // ISO datetime
+  inputs: Record<string, any>;
+  outputs: Record<string, any>;
+  stats?: {
+    cost: number;                // cents
+    duration: number;            // seconds
+    duration_cpu_only: number;
+    node_exec_time: number;
+    node_exec_time_cpu_only: number;
+    node_exec_count: number;
+    node_error_count: number;
+    error?: string;
+  };
+}
+```
+
+### Node Execution Event
+```typescript
+interface NodeExecutionEvent {
+  event_type: "node_execution_update";
+  user_id: string;
+  graph_id: string;
+  graph_version: number;
+  graph_exec_id: string;
+  node_exec_id: string;
+  node_id: string;
+  block_id: string;
+  status: ExecutionStatus;
+  input_data: Record<string, any>;
+  output_data: Record<string, any>;
+  add_time: string;              // ISO datetime
+  queue_time?: string;           // ISO datetime
+  start_time?: string;           // ISO datetime
+  end_time?: string;             // ISO datetime
+}
+```
+
+### Execution Status Enum
+```typescript
+enum ExecutionStatus {
+  INCOMPLETE = "INCOMPLETE",
+  QUEUED = "QUEUED",
+  RUNNING = "RUNNING",
+  COMPLETED = "COMPLETED",
+  FAILED = "FAILED"
+}
+```
+
+## Message Flow Examples
+
+### 1. Subscribe to Graph Execution
+```json
+// Client → Server
+{
+  "method": "subscribe_graph_execution",
+  "data": {
+    "graph_exec_id": "exec-123"
+  }
+}
+
+// Server → Client (Success)
+{
+  "method": "subscribe_graph_execution",
+  "success": true,
+  "channel": "user-456|graph_exec#exec-123"
+}
+```
+
+### 2. Receive Execution Updates
+```json
+// Server → Client (Graph Update)
+{
+  "method": "graph_execution_event",
+  "channel": "user-456|graph_exec#exec-123",
+  "data": {
+    "event_type": "graph_execution_update",
+    "id": "exec-123",
+    "user_id": "user-456",
+    "graph_id": "graph-789",
+    "status": "RUNNING",
+    // ... other fields
+  }
+}
+
+// Server → Client (Node Update)
+{
+  "method": "node_execution_event",
+  "channel": "user-456|graph_exec#exec-123",
+  "data": {
+    "event_type": "node_execution_update",
+    "node_exec_id": "node-exec-111",
+    "status": "COMPLETED",
+    // ... other fields
+  }
+}
+```
+
+### 3. Heartbeat
+```json
+// Client → Server
+{
+  "method": "heartbeat",
+  "data": "ping"
+}
+
+// Server → Client
+{
+  "method": "heartbeat",
+  "data": "pong",
+  "success": true
+}
+```
+
+### 4. Error Handling
+```json
+// Server → Client (Invalid Message)
+{
+  "method": "error",
+  "success": false,
+  "error": "Invalid message format. Review the schema and retry"
+}
+```
+
+## Event Broadcasting Architecture
+
+### Redis Pub/Sub Integration
+1. **Event Bus Name**: Configured via `config.execution_event_bus_name`
+2. **Channel Pattern**: `{event_bus_name}/{channel_key}`
+3. **Event Flow**:
+   - Execution services publish events to Redis
+   - Event broadcaster listens to Redis pattern `*`
+   - Events are routed to WebSocket connections based on subscriptions
+
+### Event Broadcaster
+- Runs as continuous async task using `@continuous_retry()` decorator
+- Listens to all execution events via `AsyncRedisExecutionEventBus`
+- Calls `ConnectionManager.send_execution_update()` for each event
+
+## Connection Lifecycle
+
+### Connection Establishment
+1. Client connects to `/ws` endpoint
+2. Authentication performed (JWT validation)
+3. WebSocket accepted via `manager.connect_socket()`
+4. Connection added to active connections set
+
+### Message Processing Loop
+1. Receive text message from client
+2. Parse and validate as `WSMessage`
+3. Route to appropriate handler based on `method`
+4. Send response or error back to client
+
+### Connection Termination
+1. `WebSocketDisconnect` exception caught
+2. `manager.disconnect_socket()` called
+3. Connection removed from active connections
+4. All subscriptions for that connection removed
+
+## Error Handling
+
+### Validation Errors
+- **Invalid Message Format**: Returns error with method "error"
+- **Invalid Message Data**: Returns error with specific validation message
+- **Unknown Message Type**: Returns error indicating unsupported method
+
+### Connection Errors
+- WebSocket disconnections handled gracefully
+- Failed event parsing logged but doesn't crash connection
+- Handler exceptions logged and connection continues
+
+## Configuration
+
+### Environment Variables
+```python
+# WebSocket Server Configuration
+websocket_server_host: str = "0.0.0.0"
+websocket_server_port: int = 8001
+
+# Authentication
+enable_auth: bool = True
+
+# CORS
+backend_cors_allow_origins: List[str] = []
+
+# Redis Event Bus
+execution_event_bus_name: str = "autogpt:execution_event_bus"
+
+# Message Size Limits
+max_message_size_limit: int = 512000  # 512KB
+```
+
+### Security Headers
+- CORS middleware applied with configured origins
+- Credentials allowed for authenticated requests
+- All methods and headers allowed (configurable)
+
+## Deployment Requirements
+
+### Dependencies
+1. **FastAPI**: Web framework with WebSocket support
+2. **Redis**: For pub/sub event broadcasting
+3. **JWT Libraries**: For token validation
+4. **Prisma**: Database ORM (for future graph access validation)
+
+### Process Management
+- Implements `AppProcess` interface for service lifecycle
+- Runs via `uvicorn` ASGI server
+- Graceful shutdown handling in `cleanup()` method
+
+### Concurrent Connections
+- No hard limit on WebSocket connections
+- Memory usage scales with active connections
+- Each connection maintains subscription set
+
+## Implementation Checklist
+
+To implement a compatible WebSocket API:
+
+1. **Authentication**
+   - [ ] JWT token validation from query parameters
+   - [ ] Support for no-auth mode with default user ID
+   - [ ] Proper error codes for auth failures
+
+2. **Message Handling**
+   - [ ] Parse and validate WSMessage format
+   - [ ] Implement all client-to-server methods
+   - [ ] Support all server-to-client event types
+   - [ ] Proper error responses for invalid messages
+
+3. **Subscription Management**
+   - [ ] Channel key generation matching exact format
+   - [ ] Support for both execution and graph-level subscriptions
+   - [ ] Unsubscribe functionality
+   - [ ] Clean up subscriptions on disconnect
+
+4. **Event Broadcasting**
+   - [ ] Listen to Redis pub/sub for execution events
+   - [ ] Route events to correct subscribed connections
+   - [ ] Handle both graph and node execution events
+   - [ ] Maintain event order and completeness
+
+5. **Connection Management**
+   - [ ] Track active WebSocket connections
+   - [ ] Handle graceful disconnections
+   - [ ] Implement heartbeat/keepalive
+   - [ ] Memory-efficient subscription storage
+
+6. **Configuration**
+   - [ ] Support all environment variables
+   - [ ] CORS configuration for allowed origins
+   - [ ] Configurable host/port binding
+   - [ ] Redis connection configuration
+
+7. **Error Handling**
+   - [ ] Graceful handling of malformed messages
+   - [ ] Logging of errors without dropping connections
+   - [ ] Specific error messages for debugging
+   - [ ] Recovery from Redis connection issues
+
+## Testing Considerations
+
+1. **Unit Tests**
+   - Message parsing and validation
+   - Channel key generation
+   - Subscription management logic
+
+2. **Integration Tests**
+   - Full WebSocket connection flow
+   - Event broadcasting from Redis
+   - Multi-client subscription scenarios
+   - Authentication success/failure cases
+
+3. **Load Tests**
+   - Many concurrent connections
+   - High-frequency event broadcasting
+   - Memory usage under load
+   - Connection/disconnection cycles
+
+## Security Considerations
+
+1. **Authentication**: JWT tokens transmitted via query parameters (consider upgrading to headers)
+2. **Authorization**: Currently no graph-level access validation (commented out in code)
+3. **Rate Limiting**: No rate limiting implemented
+4. **Message Size**: Limited by `max_message_size_limit` configuration
+5. **Input Validation**: All inputs validated via Pydantic models
+
+## Future Enhancements (Currently Commented Out)
+
+1. **Graph Access Validation**: Verify user has read access to subscribed graphs
+2. **Message Compression**: For large execution payloads
+3. **Batch Updates**: Aggregate multiple events in single message
+4. **Selective Field Subscription**: Subscribe to specific fields only

autogpt_platform/autogpt-rs/websocket/benches/README.md

@@ -0,0 +1,93 @@
+# WebSocket Server Benchmarks
+
+This directory contains performance benchmarks for the AutoGPT WebSocket server.
+
+## Prerequisites
+
+1. Redis must be running locally or set `REDIS_URL` environment variable:
+   ```bash
+   docker run -d -p 6379:6379 redis:latest
+   ```
+
+2. Build the project in release mode:
+   ```bash
+   cargo build --release
+   ```
+
+## Running Benchmarks
+
+Run all benchmarks:
+```bash
+cargo bench
+```
+
+Run specific benchmark group:
+```bash
+cargo bench connection_establishment
+cargo bench subscriptions
+cargo bench message_throughput
+cargo bench concurrent_connections
+cargo bench message_parsing
+cargo bench redis_event_processing
+```
+
+## Benchmark Categories
+
+### Connection Establishment
+Tests the performance of establishing WebSocket connections with different authentication scenarios:
+- No authentication
+- Valid JWT authentication
+- Invalid JWT authentication (connection rejection)
+
+### Subscriptions
+Measures the performance of subscription operations:
+- Subscribing to graph execution events
+- Unsubscribing from channels
+
+### Message Throughput
+Tests how many messages the server can process per second with varying message counts (10, 100, 1000).
+
+### Concurrent Connections
+Benchmarks the server's ability to handle multiple simultaneous connections (10, 50, 100, 500 clients).
+
+### Message Parsing
+Tests JSON parsing performance with different message sizes (100B to 100KB).
+
+### Redis Event Processing
+Benchmarks the parsing of execution events received from Redis.
+
+## Profiling
+
+To generate flamegraphs for CPU profiling:
+
+1. Install flamegraph tools:
+   ```bash
+   cargo install flamegraph
+   ```
+
+2. Run benchmarks with profiling:
+   ```bash
+   cargo bench --bench websocket_bench -- --profile-time=10
+   ```
+
+## Interpreting Results
+
+- **Throughput**: Higher is better (operations/second or elements/second)
+- **Time**: Lower is better (nanoseconds per operation)
+- **Error margins**: Look for stable results with low standard deviation
+
+## Optimizing Performance
+
+Based on benchmark results, consider:
+
+1. **Connection pooling** for Redis connections
+2. **Message batching** for high-throughput scenarios
+3. **Async task tuning** for concurrent connection handling
+4. **JSON parsing optimization** using simd-json or other fast parsers
+5. **Memory allocation** optimization using arena allocators
+
+## Notes
+
+- Benchmarks create actual WebSocket servers on random ports
+- Each benchmark iteration properly cleans up resources
+- Results may vary based on system resources and Redis performance

autogpt_platform/autogpt-rs/websocket/benches/websocket_bench.rs

@@ -0,0 +1,406 @@
+#![allow(clippy::unwrap_used)] // Benchmarks can panic on setup errors
+
+use axum::{routing::get, Router};
+use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
+use futures_util::{SinkExt, StreamExt};
+use serde_json::json;
+use std::sync::Arc;
+use std::time::Duration;
+use tokio::net::TcpListener;
+use tokio::runtime::Runtime;
+use tokio_tungstenite::{connect_async, tungstenite::Message};
+
+// Import the actual websocket server components
+use websocket::{models, ws_handler, AppState, Config, ConnectionManager, Stats};
+
+// Helper to create a test server
+async fn create_test_server(enable_auth: bool) -> (String, tokio::task::JoinHandle<()>) {
+    // Set environment variables for test config
+    std::env::set_var("WEBSOCKET_SERVER_HOST", "127.0.0.1");
+    std::env::set_var("WEBSOCKET_SERVER_PORT", "0");
+    std::env::set_var("ENABLE_AUTH", enable_auth.to_string());
+    std::env::set_var("SUPABASE_JWT_SECRET", "test_secret");
+    std::env::set_var("DEFAULT_USER_ID", "test_user");
+    if std::env::var("REDIS_URL").is_err() {
+        std::env::set_var("REDIS_URL", "redis://localhost:6379");
+    }
+
+    let mut config = Config::load(None);
+    config.port = 0; // Force OS to assign port
+
+    let redis_client =
+        redis::Client::open(config.redis_url.clone()).expect("Failed to connect to Redis");
+    let stats = Arc::new(Stats::default());
+    let mgr = Arc::new(ConnectionManager::new(
+        redis_client,
+        config.execution_event_bus_name.clone(),
+        stats.clone(),
+    ));
+
+    // Start broadcaster
+    let mgr_clone = mgr.clone();
+    tokio::spawn(async move {
+        mgr_clone.run_broadcaster().await;
+    });
+
+    let state = AppState {
+        mgr,
+        config: Arc::new(config),
+        stats,
+    };
+
+    let app = Router::new()
+        .route("/ws", get(ws_handler))
+        .layer(axum::Extension(state));
+
+    let listener = TcpListener::bind("127.0.0.1:0").await.unwrap();
+    let addr = listener.local_addr().unwrap();
+    let server_url = format!("ws://{addr}");
+
+    let server_handle = tokio::spawn(async move {
+        axum::serve(listener, app.into_make_service())
+            .await
+            .unwrap();
+    });
+
+    // Give server time to start
+    tokio::time::sleep(Duration::from_millis(100)).await;
+
+    (server_url, server_handle)
+}
+
+// Helper to create a valid JWT token
+fn create_jwt_token(user_id: &str) -> String {
+    use jsonwebtoken::{encode, Algorithm, EncodingKey, Header};
+    use serde::Serialize;
+
+    #[derive(Serialize)]
+    struct Claims {
+        sub: String,
+        aud: Vec<String>,
+        exp: usize,
+    }
+
+    let claims = Claims {
+        sub: user_id.to_string(),
+        aud: vec!["authenticated".to_string()],
+        exp: (chrono::Utc::now() + chrono::Duration::hours(1)).timestamp() as usize,
+    };
+
+    encode(
+        &Header::new(Algorithm::HS256),
+        &claims,
+        &EncodingKey::from_secret(b"test_secret"),
+    )
+    .unwrap()
+}
+
+// Benchmark connection establishment
+fn benchmark_connection_establishment(c: &mut Criterion) {
+    let rt = Runtime::new().unwrap();
+
+    let mut group = c.benchmark_group("connection_establishment");
+    group.measurement_time(Duration::from_secs(30));
+
+    // Test without auth
+    group.bench_function("no_auth", |b| {
+        b.to_async(&rt).iter_with_large_drop(|| async {
+            let (server_url, server_handle) = create_test_server(false).await;
+            let url = format!("{server_url}/ws");
+            let (ws_stream, _) = connect_async(&url).await.unwrap();
+            drop(ws_stream);
+            server_handle.abort();
+        });
+    });
+
+    // Test with valid auth
+    group.bench_function("valid_auth", |b| {
+        b.to_async(&rt).iter_with_large_drop(|| async {
+            let (server_url, server_handle) = create_test_server(true).await;
+            let token = create_jwt_token("test_user");
+            let url = format!("{server_url}/ws?token={token}");
+            let (ws_stream, _) = connect_async(&url).await.unwrap();
+            drop(ws_stream);
+            server_handle.abort();
+        });
+    });
+
+    // Test with invalid auth
+    group.bench_function("invalid_auth", |b| {
+        b.to_async(&rt).iter_with_large_drop(|| async {
+            let (server_url, server_handle) = create_test_server(true).await;
+            let url = format!("{server_url}/ws?token=invalid");
+            let result = connect_async(&url).await;
+            assert!(
+                result.is_err() || {
+                    if let Ok((mut ws_stream, _)) = result {
+                        // Should receive close frame
+                        matches!(ws_stream.next().await, Some(Ok(Message::Close(_))))
+                    } else {
+                        false
+                    }
+                }
+            );
+            server_handle.abort();
+        });
+    });
+
+    group.finish();
+}
+
+// Benchmark subscription operations
+fn benchmark_subscriptions(c: &mut Criterion) {
+    let rt = Runtime::new().unwrap();
+
+    let mut group = c.benchmark_group("subscriptions");
+    group.measurement_time(Duration::from_secs(20));
+
+    group.bench_function("subscribe_graph_execution", |b| {
+        b.to_async(&rt).iter_with_large_drop(|| async {
+            let (server_url, server_handle) = create_test_server(false).await;
+            let url = format!("{server_url}/ws");
+            let (mut ws_stream, _) = connect_async(&url).await.unwrap();
+            let msg = json!({
+                "method": "subscribe_graph_execution",
+                "data": {
+                    "graph_exec_id": "test_exec_123"
+                }
+            });
+
+            ws_stream
+                .send(Message::Text(msg.to_string()))
+                .await
+                .unwrap();
+
+            // Wait for response
+            if let Some(Ok(Message::Text(response))) = ws_stream.next().await {
+                let resp: serde_json::Value = serde_json::from_str(&response).unwrap();
+                assert_eq!(resp["success"], true);
+            }
+
+            server_handle.abort();
+        });
+    });
+
+    group.bench_function("unsubscribe", |b| {
+        b.to_async(&rt).iter_with_large_drop(|| async {
+            let (server_url, server_handle) = create_test_server(false).await;
+            let url = format!("{server_url}/ws");
+            let (mut ws_stream, _) = connect_async(&url).await.unwrap();
+
+            // First subscribe
+            let msg = json!({
+                "method": "subscribe_graph_execution",
+                "data": {
+                    "graph_exec_id": "test_exec_123"
+                }
+            });
+            ws_stream
+                .send(Message::Text(msg.to_string()))
+                .await
+                .unwrap();
+            ws_stream.next().await; // Consume response
+            let msg = json!({
+                "method": "unsubscribe",
+                "data": {
+                    "channel": "test_user|graph_exec#test_exec_123"
+                }
+            });
+
+            ws_stream
+                .send(Message::Text(msg.to_string()))
+                .await
+                .unwrap();
+
+            // Wait for response
+            if let Some(Ok(Message::Text(response))) = ws_stream.next().await {
+                let resp: serde_json::Value = serde_json::from_str(&response).unwrap();
+                assert_eq!(resp["success"], true);
+            }
+
+            server_handle.abort();
+        });
+    });
+
+    group.finish();
+}
+
+// Benchmark message throughput
+fn benchmark_message_throughput(c: &mut Criterion) {
+    let rt = Runtime::new().unwrap();
+
+    let mut group = c.benchmark_group("message_throughput");
+    group.measurement_time(Duration::from_secs(30));
+
+    for msg_count in [10, 100, 1000].iter() {
+        group.throughput(Throughput::Elements(*msg_count as u64));
+        group.bench_with_input(
+            BenchmarkId::from_parameter(msg_count),
+            msg_count,
+            |b, &msg_count| {
+                b.to_async(&rt).iter_with_large_drop(|| async {
+                    let (server_url, server_handle) = create_test_server(false).await;
+                    let url = format!("{server_url}/ws");
+                    let (mut ws_stream, _) = connect_async(&url).await.unwrap();
+                    // Send multiple heartbeat messages
+                    for _ in 0..msg_count {
+                        let msg = json!({
+                            "method": "heartbeat",
+                            "data": "ping"
+                        });
+                        ws_stream
+                            .send(Message::Text(msg.to_string()))
+                            .await
+                            .unwrap();
+                    }
+
+                    // Receive all responses
+                    for _ in 0..msg_count {
+                        ws_stream.next().await;
+                    }
+
+                    server_handle.abort();
+                });
+            },
+        );
+    }
+
+    group.finish();
+}
+
+// Benchmark concurrent connections
+fn benchmark_concurrent_connections(c: &mut Criterion) {
+    let rt = Runtime::new().unwrap();
+
+    let mut group = c.benchmark_group("concurrent_connections");
+    group.measurement_time(Duration::from_secs(60));
+    group.sample_size(10);
+
+    for num_clients in [100, 500, 1000].iter() {
+        group.throughput(Throughput::Elements(*num_clients as u64));
+        group.bench_with_input(
+            BenchmarkId::from_parameter(num_clients),
+            num_clients,
+            |b, &num_clients| {
+                b.to_async(&rt).iter_with_large_drop(|| async {
+                    let (server_url, server_handle) = create_test_server(false).await;
+                    let url = format!("{server_url}/ws");
+
+                    // Create multiple concurrent connections
+                    let mut handles = vec![];
+                    for i in 0..num_clients {
+                        let url = url.clone();
+                        let handle = tokio::spawn(async move {
+                            let (mut ws_stream, _) = connect_async(&url).await.unwrap();
+
+                            // Subscribe to a unique channel
+                            let msg = json!({
+                                "method": "subscribe_graph_execution",
+                                "data": {
+                                    "graph_exec_id": format!("exec_{}", i)
+                                }
+                            });
+                            ws_stream
+                                .send(Message::Text(msg.to_string()))
+                                .await
+                                .unwrap();
+                            ws_stream.next().await; // Wait for response
+
+                            // Send a heartbeat
+                            let msg = json!({
+                                "method": "heartbeat",
+                                "data": "ping"
+                            });
+                            ws_stream
+                                .send(Message::Text(msg.to_string()))
+                                .await
+                                .unwrap();
+                            ws_stream.next().await; // Wait for response
+
+                            ws_stream
+                        });
+                        handles.push(handle);
+                    }
+
+                    // Wait for all connections to complete
+                    for handle in handles {
+                        let _ = handle.await;
+                    }
+
+                    server_handle.abort();
+                });
+            },
+        );
+    }
+
+    group.finish();
+}
+
+// Benchmark message parsing
+fn benchmark_message_parsing(c: &mut Criterion) {
+    let mut group = c.benchmark_group("message_parsing");
+
+    // Test different message sizes
+    for msg_size in [100, 1000, 10000].iter() {
+        group.throughput(Throughput::Bytes(*msg_size as u64));
+        group.bench_with_input(
+            BenchmarkId::new("parse_json", msg_size),
+            msg_size,
+            |b, &msg_size| {
+                let data_str = "x".repeat(msg_size);
+                let json_msg = json!({
+                    "method": "subscribe_graph_execution",
+                    "data": {
+                        "graph_exec_id": data_str
+                    }
+                });
+                let json_str = json_msg.to_string();
+
+                b.iter(|| {
+                    let _: models::WSMessage = serde_json::from_str(&json_str).unwrap();
+                });
+            },
+        );
+    }
+
+    group.finish();
+}
+
+// Benchmark Redis event processing
+fn benchmark_redis_event_processing(c: &mut Criterion) {
+    let mut group = c.benchmark_group("redis_event_processing");
+
+    group.bench_function("parse_execution_event", |b| {
+        let event = json!({
+            "payload": {
+                "event_type": "graph_execution_update",
+                "id": "exec_123",
+                "graph_id": "graph_456",
+                "graph_version": 1,
+                "user_id": "user_789",
+                "status": "RUNNING",
+                "started_at": "2024-01-01T00:00:00Z",
+                "inputs": {"test": "data"},
+                "outputs": {}
+            }
+        });
+        let event_str = event.to_string();
+
+        b.iter(|| {
+            let _: models::RedisEventWrapper = serde_json::from_str(&event_str).unwrap();
+        });
+    });
+
+    group.finish();
+}
+
+criterion_group!(
+    benches,
+    benchmark_connection_establishment,
+    benchmark_subscriptions,
+    benchmark_message_throughput,
+    benchmark_concurrent_connections,
+    benchmark_message_parsing,
+    benchmark_redis_event_processing
+);
+criterion_main!(benches);

autogpt_platform/autogpt-rs/websocket/clippy.toml

@@ -0,0 +1,10 @@
+# Clippy configuration for robust error handling
+
+# Set the maximum cognitive complexity allowed
+cognitive-complexity-threshold = 30
+
+# Warn on TODO/FIXME comments  
+allow-dbg-in-tests = false
+
+# Enforce documentation
+missing-docs-in-crate-items = true

autogpt_platform/autogpt-rs/websocket/config.toml

@@ -0,0 +1,23 @@
+# WebSocket API Configuration
+
+# Server settings
+host = "0.0.0.0"
+port = 8001
+
+# Authentication
+enable_auth = true
+jwt_secret = "your-super-secret-jwt-token-with-at-least-32-characters-long"
+jwt_algorithm = "HS256"
+default_user_id = "default"
+
+# Redis configuration
+redis_url = "redis://:password@localhost:6379/"
+
+# Event bus
+execution_event_bus_name = "execution_event"
+
+# Message size limit (in bytes)
+max_message_size_limit = 512000
+
+# CORS allowed origins
+backend_cors_allow_origins = ["http://localhost:3000", "https://559f69c159ef.ngrok.app"]

autogpt_platform/autogpt-rs/websocket/examples/ws_client_example.rs

@@ -0,0 +1,75 @@
+use futures_util::{SinkExt, StreamExt};
+use serde_json::json;
+use tokio_tungstenite::{connect_async, tungstenite::Message};
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let url = "ws://localhost:8001/ws";
+
+    println!("Connecting to {url}");
+    let (mut ws_stream, _) = connect_async(url).await?;
+    println!("Connected!");
+
+    // Subscribe to a graph execution
+    let subscribe_msg = json!({
+        "method": "subscribe_graph_execution",
+        "data": {
+            "graph_exec_id": "test_exec_123"
+        }
+    });
+
+    println!("Sending subscription request...");
+    ws_stream
+        .send(Message::Text(subscribe_msg.to_string()))
+        .await?;
+
+    // Wait for response
+    if let Some(msg) = ws_stream.next().await {
+        if let Message::Text(text) = msg? {
+            println!("Received: {text}");
+        }
+    }
+
+    // Send heartbeat
+    let heartbeat_msg = json!({
+        "method": "heartbeat",
+        "data": "ping"
+    });
+
+    println!("Sending heartbeat...");
+    ws_stream
+        .send(Message::Text(heartbeat_msg.to_string()))
+        .await?;
+
+    // Wait for pong
+    if let Some(msg) = ws_stream.next().await {
+        if let Message::Text(text) = msg? {
+            println!("Received: {text}");
+        }
+    }
+
+    // Unsubscribe
+    let unsubscribe_msg = json!({
+        "method": "unsubscribe",
+        "data": {
+            "channel": "default|graph_exec#test_exec_123"
+        }
+    });
+
+    println!("Sending unsubscribe request...");
+    ws_stream
+        .send(Message::Text(unsubscribe_msg.to_string()))
+        .await?;
+
+    // Wait for response
+    if let Some(msg) = ws_stream.next().await {
+        if let Message::Text(text) = msg? {
+            println!("Received: {text}");
+        }
+    }
+
+    println!("Closing connection...");
+    ws_stream.close(None).await?;
+
+    Ok(())
+}

autogpt_platform/autogpt-rs/websocket/src/config.rs

@@ -0,0 +1,99 @@
+use jsonwebtoken::Algorithm;
+use serde::Deserialize;
+use std::env;
+use std::fs;
+use std::path::Path;
+use std::str::FromStr;
+
+#[derive(Clone, Debug, Deserialize)]
+pub struct Config {
+    pub host: String,
+    pub port: u16,
+    pub enable_auth: bool,
+    pub jwt_secret: String,
+    pub jwt_algorithm: Algorithm,
+    pub execution_event_bus_name: String,
+    pub redis_url: String,
+    pub default_user_id: String,
+    pub max_message_size_limit: usize,
+    pub backend_cors_allow_origins: Vec<String>,
+}
+
+impl Config {
+    pub fn load(config_path: Option<&Path>) -> Self {
+        let path = config_path.unwrap_or(Path::new("config.toml"));
+        let toml_result = fs::read_to_string(path)
+            .ok()
+            .and_then(|s| toml::from_str::<Config>(&s).ok());
+
+        let mut config = match toml_result {
+            Some(config) => config,
+            None => Config {
+                host: env::var("WEBSOCKET_SERVER_HOST").unwrap_or_else(|_| "0.0.0.0".to_string()),
+                port: env::var("WEBSOCKET_SERVER_PORT")
+                    .ok()
+                    .and_then(|s| s.parse().ok())
+                    .unwrap_or(8001),
+                enable_auth: env::var("ENABLE_AUTH")
+                    .ok()
+                    .and_then(|s| s.parse().ok())
+                    .unwrap_or(true),
+                jwt_secret: env::var("SUPABASE_JWT_SECRET")
+                    .unwrap_or_else(|_| "dummy_secret_for_no_auth".to_string()),
+                jwt_algorithm: Algorithm::HS256,
+                execution_event_bus_name: env::var("EXECUTION_EVENT_BUS_NAME")
+                    .unwrap_or_else(|_| "execution_event".to_string()),
+                redis_url: env::var("REDIS_URL")
+                    .unwrap_or_else(|_| "redis://localhost/".to_string()),
+                default_user_id: "default".to_string(),
+                max_message_size_limit: env::var("MAX_MESSAGE_SIZE_LIMIT")
+                    .ok()
+                    .and_then(|s| s.parse().ok())
+                    .unwrap_or(512000),
+                backend_cors_allow_origins: env::var("BACKEND_CORS_ALLOW_ORIGINS")
+                    .unwrap_or_default()
+                    .split(',')
+                    .map(|s| s.trim().to_string())
+                    .filter(|s| !s.is_empty())
+                    .collect(),
+            },
+        };
+
+        if let Ok(v) = env::var("WEBSOCKET_SERVER_HOST") {
+            config.host = v;
+        }
+        if let Ok(v) = env::var("WEBSOCKET_SERVER_PORT") {
+            config.port = v.parse().unwrap_or(8001);
+        }
+        if let Ok(v) = env::var("ENABLE_AUTH") {
+            config.enable_auth = v.parse().unwrap_or(true);
+        }
+        if let Ok(v) = env::var("SUPABASE_JWT_SECRET") {
+            config.jwt_secret = v;
+        }
+        if let Ok(v) = env::var("JWT_ALGORITHM") {
+            config.jwt_algorithm = Algorithm::from_str(&v).unwrap_or(Algorithm::HS256);
+        }
+        if let Ok(v) = env::var("EXECUTION_EVENT_BUS_NAME") {
+            config.execution_event_bus_name = v;
+        }
+        if let Ok(v) = env::var("REDIS_URL") {
+            config.redis_url = v;
+        }
+        if let Ok(v) = env::var("DEFAULT_USER_ID") {
+            config.default_user_id = v;
+        }
+        if let Ok(v) = env::var("MAX_MESSAGE_SIZE_LIMIT") {
+            config.max_message_size_limit = v.parse().unwrap_or(512000);
+        }
+        if let Ok(v) = env::var("BACKEND_CORS_ALLOW_ORIGINS") {
+            config.backend_cors_allow_origins = v
+                .split(',')
+                .map(|s| s.trim().to_string())
+                .filter(|s| !s.is_empty())
+                .collect();
+        }
+
+        config
+    }
+}

autogpt_platform/autogpt-rs/websocket/src/connection_manager.rs

@@ -0,0 +1,277 @@
+use futures::StreamExt;
+use redis::Client as RedisClient;
+use std::collections::{HashMap, HashSet};
+use std::sync::atomic::AtomicU64;
+use std::sync::Arc;
+use tokio::sync::{mpsc, RwLock};
+use tracing::{debug, error, info, warn};
+
+use crate::models::{ExecutionEvent, RedisEventWrapper, WSMessage};
+use crate::stats::Stats;
+
+pub struct ConnectionManager {
+    pub subscribers: RwLock<HashMap<String, HashSet<u64>>>,
+    pub clients: RwLock<HashMap<u64, (String, mpsc::Sender<String>)>>,
+    pub client_channels: RwLock<HashMap<u64, HashSet<String>>>,
+    pub next_id: AtomicU64,
+    pub redis_client: RedisClient,
+    pub bus_name: String,
+    pub stats: Arc<Stats>,
+}
+
+impl ConnectionManager {
+    pub fn new(redis_client: RedisClient, bus_name: String, stats: Arc<Stats>) -> Self {
+        Self {
+            subscribers: RwLock::new(HashMap::new()),
+            clients: RwLock::new(HashMap::new()),
+            client_channels: RwLock::new(HashMap::new()),
+            next_id: AtomicU64::new(0),
+            redis_client,
+            bus_name,
+            stats,
+        }
+    }
+
+    pub async fn run_broadcaster(self: Arc<Self>) {
+        info!("🚀 Starting Redis event broadcaster");
+
+        loop {
+            match self.run_broadcaster_inner().await {
+                Ok(_) => {
+                    warn!("⚠️ Event broadcaster stopped unexpectedly, restarting in 5 seconds");
+                    tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;
+                }
+                Err(e) => {
+                    error!("❌ Event broadcaster error: {}, restarting in 5 seconds", e);
+                    tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;
+                }
+            }
+        }
+    }
+
+    async fn run_broadcaster_inner(
+        self: &Arc<Self>,
+    ) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
+        let mut pubsub = self.redis_client.get_async_pubsub().await?;
+        pubsub.psubscribe("*").await?;
+        info!(
+            "📡 Listening to all Redis events, filtering for bus: {}",
+            self.bus_name
+        );
+
+        let mut pubsub_stream = pubsub.on_message();
+
+        loop {
+            let msg = pubsub_stream.next().await;
+            match msg {
+                Some(msg) => {
+                    let channel: String = msg.get_channel_name().to_string();
+                    debug!("📨 Received message on Redis channel: {}", channel);
+                    self.stats
+                        .redis_messages_received
+                        .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+
+                    let payload: String = match msg.get_payload() {
+                        Ok(p) => p,
+                        Err(e) => {
+                            warn!("⚠️ Failed to get payload from Redis message: {}", e);
+                            self.stats
+                                .errors_total
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            continue;
+                        }
+                    };
+
+                    // Parse the channel format: execution_event/{user_id}/{graph_id}/{graph_exec_id}
+                    let parts: Vec<&str> = channel.split('/').collect();
+
+                    // Check if this is an execution event channel
+                    if parts.len() != 4 || parts[0] != self.bus_name {
+                        debug!(
+                            "🚫 Ignoring non-execution event channel: {} (parts: {:?}, bus_name: {})",
+                            channel, parts, self.bus_name
+                        );
+                        self.stats
+                            .redis_messages_ignored
+                            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                        continue;
+                    }
+
+                    let user_id = parts[1];
+                    let graph_id = parts[2];
+                    let graph_exec_id = parts[3];
+
+                    debug!(
+                        "📥 Received event - user: {}, graph: {}, exec: {}",
+                        user_id, graph_id, graph_exec_id
+                    );
+
+                    // Parse the wrapped event
+                    let wrapped_event = match RedisEventWrapper::parse(&payload) {
+                        Ok(e) => e,
+                        Err(e) => {
+                            warn!("⚠️ Failed to parse event JSON: {}, payload: {}", e, payload);
+                            self.stats
+                                .errors_json_parse
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            self.stats
+                                .errors_total
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            continue;
+                        }
+                    };
+
+                    let event = wrapped_event.payload;
+                    debug!("📦 Event received: {:?}", event);
+
+                    let (method, event_json) = match &event {
+                        ExecutionEvent::GraphExecutionUpdate(graph_event) => {
+                            self.stats
+                                .graph_execution_events
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            self.stats
+                                .events_received_total
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            (
+                                "graph_execution_event",
+                                match serde_json::to_value(graph_event) {
+                                    Ok(v) => v,
+                                    Err(e) => {
+                                        error!("❌ Failed to serialize graph event: {}", e);
+                                        continue;
+                                    }
+                                },
+                            )
+                        }
+                        ExecutionEvent::NodeExecutionUpdate(node_event) => {
+                            self.stats
+                                .node_execution_events
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            self.stats
+                                .events_received_total
+                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                            (
+                                "node_execution_event",
+                                match serde_json::to_value(node_event) {
+                                    Ok(v) => v,
+                                    Err(e) => {
+                                        error!("❌ Failed to serialize node event: {}", e);
+                                        continue;
+                                    }
+                                },
+                            )
+                        }
+                    };
+
+                    // Create the channel keys in the format expected by WebSocket clients
+                    let mut channels_to_notify = Vec::new();
+
+                    // For both event types, notify the specific execution channel
+                    let exec_channel = format!("{user_id}|graph_exec#{graph_exec_id}");
+                    channels_to_notify.push(exec_channel.clone());
+
+                    // For graph execution events, also notify the graph executions channel
+                    if matches!(&event, ExecutionEvent::GraphExecutionUpdate(_)) {
+                        let graph_channel = format!("{user_id}|graph#{graph_id}|executions");
+                        channels_to_notify.push(graph_channel);
+                    }
+
+                    debug!(
+                        "📢 Broadcasting {} event to channels: {:?}",
+                        method, channels_to_notify
+                    );
+
+                    let subs = self.subscribers.read().await;
+                    
+                    // Log current subscriber state
+                    debug!("📊 Current subscribers count: {}", subs.len());
+
+                    for channel_key in channels_to_notify {
+                        let ws_msg = WSMessage {
+                            method: method.to_string(),
+                            channel: Some(channel_key.clone()),
+                            data: Some(event_json.clone()),
+                            ..Default::default()
+                        };
+                        let json_msg = match serde_json::to_string(&ws_msg) {
+                            Ok(j) => {
+                                debug!("📤 Sending WebSocket message: {}", j);
+                                j
+                            }
+                            Err(e) => {
+                                error!("❌ Failed to serialize WebSocket message: {}", e);
+                                continue;
+                            }
+                        };
+
+                        if let Some(client_ids) = subs.get(&channel_key) {
+                            let clients = self.clients.read().await;
+                            let client_count = client_ids.len();
+                            debug!(
+                                "📣 Broadcasting to {} clients on channel: {}",
+                                client_count, channel_key
+                            );
+
+                            for &cid in client_ids {
+                                if let Some((user_id, tx)) = clients.get(&cid) {
+                                    match tx.try_send(json_msg.clone()) {
+                                        Ok(_) => {
+                                            debug!(
+                                                "✅ Message sent immediately to client {} (user: {})",
+                                                cid, user_id
+                                            );
+                                            self.stats
+                                                .messages_sent_total
+                                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                        }
+                                        Err(mpsc::error::TrySendError::Full(_)) => {
+                                            // Channel is full, try with a small timeout
+                                            let tx_clone = tx.clone();
+                                            let msg_clone = json_msg.clone();
+                                            let stats_clone = self.stats.clone();
+                                            tokio::spawn(async move {
+                                                match tokio::time::timeout(
+                                                    std::time::Duration::from_millis(100),
+                                                    tx_clone.send(msg_clone),
+                                                )
+                                                .await {
+                                                    Ok(Ok(_)) => {
+                                                        stats_clone
+                                                            .messages_sent_total
+                                                            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                                    }
+                                                    _ => {
+                                                        stats_clone
+                                                            .messages_failed_total
+                                                            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                                    }
+                                                }
+                                            });
+                                            warn!("⚠️ Channel full for client {} (user: {}), sending async", cid, user_id);
+                                        }
+                                        Err(mpsc::error::TrySendError::Closed(_)) => {
+                                            warn!(
+                                                "⚠️ Channel closed for client {} (user: {})",
+                                                cid, user_id
+                                            );
+                                            self.stats
+                                                .messages_failed_total
+                                                .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                        }
+                                    }
+                                } else {
+                                    warn!("⚠️ Client {} not found in clients map", cid);
+                                }
+                            }
+                        } else {
+                            info!("📭 No subscribers for channel: {}", channel_key);
+                        }
+                    }
+                }
+                None => {
+                    return Err("❌ Redis pubsub stream ended".into());
+                }
+            }
+        }
+    }
+}

autogpt_platform/autogpt-rs/websocket/src/handlers.rs

@@ -0,0 +1,442 @@
+use axum::extract::ws::{CloseFrame, Message, WebSocket};
+use axum::{
+    extract::{Query, WebSocketUpgrade},
+    http::HeaderMap,
+    response::IntoResponse,
+    Extension,
+};
+use jsonwebtoken::{decode, DecodingKey, Validation};
+use serde_json::{json, Value};
+use std::collections::HashMap;
+use tokio::sync::mpsc;
+use tracing::{debug, error, info, warn};
+
+use crate::connection_manager::ConnectionManager;
+use crate::models::{Claims, WSMessage};
+use crate::AppState;
+
+// Helper function to safely serialize messages
+fn serialize_message(msg: &WSMessage) -> String {
+    serde_json::to_string(msg).unwrap_or_else(|e| {
+        error!("❌ Failed to serialize WebSocket message: {}", e);
+        json!({"method": "error", "success": false, "error": "Internal serialization error"})
+            .to_string()
+    })
+}
+
+pub async fn ws_handler(
+    ws: WebSocketUpgrade,
+    query: Query<HashMap<String, String>>,
+    _headers: HeaderMap,
+    Extension(state): Extension<AppState>,
+) -> impl IntoResponse {
+    let token = query.0.get("token").cloned();
+    let mut user_id = state.config.default_user_id.clone();
+    let mut auth_error_code: Option<u16> = None;
+
+    if state.config.enable_auth {
+        match token {
+            Some(token_str) => {
+                debug!("🔐 Authenticating WebSocket connection");
+                let mut validation = Validation::new(state.config.jwt_algorithm);
+                validation.set_audience(&["authenticated"]);
+
+                let key = DecodingKey::from_secret(state.config.jwt_secret.as_bytes());
+
+                match decode::<Claims>(&token_str, &key, &validation) {
+                    Ok(token_data) => {
+                        user_id = token_data.claims.sub.clone();
+                        debug!("✅ WebSocket authenticated for user: {}", user_id);
+                    }
+                    Err(e) => {
+                        warn!("⚠️ JWT validation failed: {}", e);
+                        auth_error_code = Some(4003);
+                    }
+                }
+            }
+            None => {
+                warn!("⚠️ Missing authentication token in WebSocket connection");
+                auth_error_code = Some(4001);
+            }
+        }
+    } else {
+        debug!("🔓 WebSocket connection without auth (auth disabled)");
+    }
+
+    if let Some(code) = auth_error_code {
+        error!("❌ WebSocket authentication failed with code: {}", code);
+        state
+            .mgr
+            .stats
+            .connections_failed_auth
+            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+        state
+            .mgr
+            .stats
+            .connections_total
+            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+        return ws
+            .on_upgrade(move |mut socket: WebSocket| async move {
+                let close_frame = Some(CloseFrame {
+                    code,
+                    reason: "Authentication failed".into(),
+                });
+                let _ = socket.send(Message::Close(close_frame)).await;
+                let _ = socket.close().await;
+            })
+            .into_response();
+    }
+
+    debug!("✅ WebSocket connection established for user: {}", user_id);
+    ws.on_upgrade(move |socket| {
+        handle_socket(
+            socket,
+            user_id,
+            state.mgr.clone(),
+            state.config.max_message_size_limit,
+        )
+    })
+}
+
+async fn update_subscription_stats(mgr: &ConnectionManager, channel: &str, add: bool) {
+    if add {
+        mgr.stats
+            .subscriptions_total
+            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+        mgr.stats
+            .subscriptions_active
+            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+
+        let mut channel_stats = mgr.stats.channels_active.write().await;
+        let count = channel_stats.entry(channel.to_string()).or_insert(0);
+        *count += 1;
+    } else {
+        mgr.stats
+            .unsubscriptions_total
+            .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+        mgr.stats
+            .subscriptions_active
+            .fetch_sub(1, std::sync::atomic::Ordering::Relaxed);
+
+        let mut channel_stats = mgr.stats.channels_active.write().await;
+        if let Some(count) = channel_stats.get_mut(channel) {
+            *count = count.saturating_sub(1);
+            if *count == 0 {
+                channel_stats.remove(channel);
+            }
+        }
+    }
+}
+
+pub async fn handle_socket(
+    mut socket: WebSocket,
+    user_id: String,
+    mgr: std::sync::Arc<ConnectionManager>,
+    max_size: usize,
+) {
+    let client_id = mgr
+        .next_id
+        .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+    let (tx, mut rx) = mpsc::channel::<String>(10);
+    info!("👋 New WebSocket client {} for user: {}", client_id, user_id);
+
+    // Update connection stats
+    mgr.stats
+        .connections_total
+        .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+    mgr.stats
+        .connections_active
+        .fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+
+    // Update active users
+    {
+        let mut active_users = mgr.stats.active_users.write().await;
+        let count = active_users.entry(user_id.clone()).or_insert(0);
+        *count += 1;
+    }
+
+    {
+        let mut clients = mgr.clients.write().await;
+        clients.insert(client_id, (user_id.clone(), tx));
+    }
+
+    {
+        let mut client_channels = mgr.client_channels.write().await;
+        client_channels.insert(client_id, std::collections::HashSet::new());
+    }
+
+    loop {
+        tokio::select! {
+            msg = rx.recv() => {
+                if let Some(msg) = msg {
+                    if socket.send(Message::Text(msg)).await.is_err() {
+                        break;
+                    }
+                } else {
+                    break;
+                }
+            }
+            incoming = socket.recv() => {
+                let msg = match incoming {
+                    Some(Ok(msg)) => msg,
+                    _ => break,
+                };
+                match msg {
+                    Message::Text(text) => {
+                        if text.len() > max_size {
+                            warn!("⚠️ Message from client {} exceeds size limit: {} > {}", client_id, text.len(), max_size);
+                            let err_resp = serialize_message(&WSMessage {
+                                method: "error".to_string(),
+                                success: Some(false),
+                                error: Some("Message exceeds size limit".to_string()),
+                                ..Default::default()
+                            });
+                            if socket.send(Message::Text(err_resp)).await.is_err() {
+                                break;
+                            }
+                            continue;
+                        }
+
+                        mgr.stats.messages_received_total.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+
+                        let ws_msg: WSMessage = match serde_json::from_str(&text) {
+                            Ok(m) => m,
+                            Err(e) => {
+                                warn!("⚠️ Invalid message format from client {}: {}", client_id, e);
+                                mgr.stats.errors_json_parse.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                mgr.stats.errors_total.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
+                                let err_resp = serialize_message(&WSMessage {
+                                    method: "error".to_string(),
+                                    success: Some(false),
+                                    error: Some("Invalid message format. Review the schema and retry".to_string()),
+                                    ..Default::default()
+                                });
+                                if socket.send(Message::Text(err_resp)).await.is_err() {
+                                    break;
+                                }
+                                continue;
+                            }
+                        };
+
+                        debug!("📥 Received {} message from client {}", ws_msg.method, client_id);
+
+                        match ws_msg.method.as_str() {
+                            "subscribe_graph_execution" => {
+                                let graph_exec_id = match &ws_msg.data {
+                                    Some(Value::Object(map)) => map.get("graph_exec_id").and_then(|v| v.as_str()),
+                                    _ => None,
+                                };
+                                let Some(graph_exec_id) = graph_exec_id else {
+                                    warn!("⚠️ Missing graph_exec_id in subscribe_graph_execution from client {}", client_id);
+                                    let err_resp = json!({"method": "error", "success": false, "error": "Missing graph_exec_id"});
+                                    if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                        break;
+                                    }
+                                    continue;
+                                };
+                                let channel = format!("{user_id}|graph_exec#{graph_exec_id}");
+                                debug!("📌 Client {} subscribing to channel: {}", client_id, channel);
+
+                                {
+                                    let mut subs = mgr.subscribers.write().await;
+                                    subs.entry(channel.clone()).or_insert(std::collections::HashSet::new()).insert(client_id);
+                                }
+                                {
+                                    let mut chs = mgr.client_channels.write().await;
+                                    if let Some(set) = chs.get_mut(&client_id) {
+                                        set.insert(channel.clone());
+                                    }
+                                }
+
+                                // Update subscription stats
+                                update_subscription_stats(&mgr, &channel, true).await;
+
+                                let resp = WSMessage {
+                                    method: "subscribe_graph_execution".to_string(),
+                                    success: Some(true),
+                                    channel: Some(channel),
+                                    ..Default::default()
+                                };
+                                if socket.send(Message::Text(serialize_message(&resp))).await.is_err() {
+                                    break;
+                                }
+                            }
+                            "subscribe_graph_executions" => {
+                                let graph_id = match &ws_msg.data {
+                                    Some(Value::Object(map)) => map.get("graph_id").and_then(|v| v.as_str()),
+                                    _ => None,
+                                };
+                                let Some(graph_id) = graph_id else {
+                                    let err_resp = json!({"method": "error", "success": false, "error": "Missing graph_id"});
+                                    if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                        break;
+                                    }
+                                    continue;
+                                };
+                                let channel = format!("{user_id}|graph#{graph_id}|executions");
+
+                                {
+                                    let mut subs = mgr.subscribers.write().await;
+                                    subs.entry(channel.clone()).or_insert(std::collections::HashSet::new()).insert(client_id);
+                                }
+                                {
+                                    let mut chs = mgr.client_channels.write().await;
+                                    if let Some(set) = chs.get_mut(&client_id) {
+                                        set.insert(channel.clone());
+                                    }
+                                }
+                                debug!("📌 Client {} subscribing to channel: {}", client_id, channel);
+                                // Update subscription stats
+                                update_subscription_stats(&mgr, &channel, true).await;
+
+                                let resp = WSMessage {
+                                    method: "subscribe_graph_executions".to_string(),
+                                    success: Some(true),
+                                    channel: Some(channel),
+                                    ..Default::default()
+                                };
+                                if socket.send(Message::Text(serialize_message(&resp))).await.is_err() {
+                                    break;
+                                }
+                            }
+                            "unsubscribe" => {
+                                let channel = match &ws_msg.data {
+                                    Some(Value::String(s)) => Some(s.as_str()),
+                                    Some(Value::Object(map)) => map.get("channel").and_then(|v| v.as_str()),
+                                    _ => None,
+                                };
+                                let Some(channel) = channel else {
+                                    let err_resp = json!({"method": "error", "success": false, "error": "Missing channel"});
+                                    if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                        break;
+                                    }
+                                    continue;
+                                };
+                                let channel = channel.to_string();
+
+                                if !channel.starts_with(&format!("{user_id}|")) {
+                                    let err_resp = json!({"method": "error", "success": false, "error": "Unauthorized channel"});
+                                    if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                        break;
+                                    }
+                                    continue;
+                                }
+
+                                {
+                                    let mut subs = mgr.subscribers.write().await;
+                                    if let Some(set) = subs.get_mut(&channel) {
+                                        set.remove(&client_id);
+                                        if set.is_empty() {
+                                            subs.remove(&channel);
+                                        }
+                                    }
+                                }
+                                {
+                                    let mut chs = mgr.client_channels.write().await;
+                                    if let Some(set) = chs.get_mut(&client_id) {
+                                        set.remove(&channel);
+                                    }
+                                }
+
+                                // Update subscription stats
+                                update_subscription_stats(&mgr, &channel, false).await;
+
+                                let resp = WSMessage {
+                                    method: "unsubscribe".to_string(),
+                                    success: Some(true),
+                                    channel: Some(channel),
+                                    ..Default::default()
+                                };
+                                if socket.send(Message::Text(serialize_message(&resp))).await.is_err() {
+                                    break;
+                                }
+                            }
+                            "heartbeat" => {
+                                if ws_msg.data == Some(Value::String("ping".to_string())) {
+                                    let resp = WSMessage {
+                                        method: "heartbeat".to_string(),
+                                        data: Some(Value::String("pong".to_string())),
+                                        success: Some(true),
+                                        ..Default::default()
+                                    };
+                                    if socket.send(Message::Text(serialize_message(&resp))).await.is_err() {
+                                        break;
+                                    }
+                                } else {
+                                    let err_resp = json!({"method": "error", "success": false, "error": "Invalid heartbeat"});
+                                    if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                        break;
+                                    }
+                                }
+                            }
+                            _ => {
+                                warn!("❓ Unknown method '{}' from client {}", ws_msg.method, client_id);
+                                let err_resp = json!({"method": "error", "success": false, "error": "Unknown method"});
+                                if socket.send(Message::Text(err_resp.to_string())).await.is_err() {
+                                    break;
+                                }
+                            }
+                        }
+                    }
+                    Message::Close(_) => break,
+                    Message::Ping(_) => {
+                        if socket.send(Message::Pong(vec![])).await.is_err() {
+                            break;
+                        }
+                    }
+                    Message::Pong(_) => {}
+                    _ => {}
+                }
+            }
+            else => break,
+        }
+    }
+
+    // Cleanup
+    debug!("👋 WebSocket client {} disconnected, cleaning up", client_id);
+
+    // Update connection stats
+    mgr.stats
+        .connections_active
+        .fetch_sub(1, std::sync::atomic::Ordering::Relaxed);
+
+    // Update active users
+    {
+        let mut active_users = mgr.stats.active_users.write().await;
+        if let Some(count) = active_users.get_mut(&user_id) {
+            *count = count.saturating_sub(1);
+            if *count == 0 {
+                active_users.remove(&user_id);
+            }
+        }
+    }
+
+    let channels = {
+        let mut client_channels = mgr.client_channels.write().await;
+        client_channels.remove(&client_id).unwrap_or_default()
+    };
+
+    {
+        let mut subs = mgr.subscribers.write().await;
+        for channel in &channels {
+            if let Some(set) = subs.get_mut(channel) {
+                set.remove(&client_id);
+                if set.is_empty() {
+                    subs.remove(channel);
+                }
+            }
+        }
+    }
+
+    // Update subscription stats for all channels the client was subscribed to
+    for channel in &channels {
+        update_subscription_stats(&mgr, channel, false).await;
+    }
+
+    {
+        let mut clients = mgr.clients.write().await;
+        clients.remove(&client_id);
+    }
+
+    debug!("✨ Cleanup completed for client {}", client_id);
+}

autogpt_platform/autogpt-rs/websocket/src/lib.rs

@@ -0,0 +1,26 @@
+#![deny(warnings)]
+#![deny(clippy::unwrap_used)]
+#![deny(clippy::panic)]
+#![deny(clippy::unimplemented)]
+#![deny(clippy::todo)]
+
+
+pub mod config;
+pub mod connection_manager;
+pub mod handlers;
+pub mod models;
+pub mod stats;
+
+pub use config::Config;
+pub use connection_manager::ConnectionManager;
+pub use handlers::ws_handler;
+pub use stats::Stats;
+
+use std::sync::Arc;
+
+#[derive(Clone)]
+pub struct AppState {
+    pub mgr: Arc<ConnectionManager>,
+    pub config: Arc<Config>,
+    pub stats: Arc<Stats>,
+}

autogpt_platform/autogpt-rs/websocket/src/main.rs

@@ -0,0 +1,172 @@
+use axum::{
+    body::Body,
+    http::{header, StatusCode},
+    response::Response,
+    routing::get,
+    Router,
+};
+use clap::Parser;
+use std::sync::Arc;
+use tokio::net::TcpListener;
+use tower_http::cors::{Any, CorsLayer};
+use tracing::{debug, error, info};
+use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt};
+
+use crate::config::Config;
+use crate::connection_manager::ConnectionManager;
+use crate::handlers::ws_handler;
+
+async fn stats_handler(
+    axum::Extension(state): axum::Extension<AppState>,
+) -> Result<axum::response::Json<stats::StatsSnapshot>, StatusCode> {
+    let snapshot = state.stats.snapshot().await;
+    Ok(axum::response::Json(snapshot))
+}
+
+async fn prometheus_handler(
+    axum::Extension(state): axum::Extension<AppState>,
+) -> Result<Response, StatusCode> {
+    let snapshot = state.stats.snapshot().await;
+    let prometheus_text = state.stats.to_prometheus_format(&snapshot);
+
+    Response::builder()
+        .status(StatusCode::OK)
+        .header(header::CONTENT_TYPE, "text/plain; version=0.0.4")
+        .body(Body::from(prometheus_text))
+        .map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)
+}
+
+mod config;
+mod connection_manager;
+mod handlers;
+mod models;
+mod stats;
+
+#[derive(Parser, Debug)]
+#[command(author, version, about)]
+struct Cli {
+    /// Path to a TOML configuration file
+    #[arg(short = 'c', long = "config", value_name = "FILE")]
+    config: Option<std::path::PathBuf>,
+}
+
+#[derive(Clone)]
+pub struct AppState {
+    mgr: Arc<ConnectionManager>,
+    config: Arc<Config>,
+    stats: Arc<stats::Stats>,
+}
+
+#[tokio::main]
+async fn main() {
+    // Initialize tracing
+    tracing_subscriber::registry()
+        .with(
+            tracing_subscriber::EnvFilter::try_from_default_env()
+                .unwrap_or_else(|_| "websocket=info,tower_http=debug".into()),
+        )
+        .with(tracing_subscriber::fmt::layer())
+        .init();
+
+    info!("🚀 Starting WebSocket API server");
+
+    let cli = Cli::parse();
+    let config = Arc::new(Config::load(cli.config.as_deref()));
+    info!(
+        "⚙️  Configuration loaded - host: {}, port: {}, auth: {}",
+        config.host, config.port, config.enable_auth
+    );
+
+    let redis_client = match redis::Client::open(config.redis_url.clone()) {
+        Ok(client) => {
+            debug!("✅ Redis client created successfully");
+            client
+        }
+        Err(e) => {
+            error!(
+                "❌ Failed to create Redis client: {}. Please check REDIS_URL environment variable",
+                e
+            );
+            std::process::exit(1);
+        }
+    };
+
+    let stats = Arc::new(stats::Stats::default());
+    let mgr = Arc::new(ConnectionManager::new(
+        redis_client,
+        config.execution_event_bus_name.clone(),
+        stats.clone(),
+    ));
+
+    let mgr_clone = mgr.clone();
+    tokio::spawn(async move {
+        debug!("📡 Starting event broadcaster task");
+        mgr_clone.run_broadcaster().await;
+    });
+
+    let state = AppState {
+        mgr,
+        config: config.clone(),
+        stats,
+    };
+
+    let app = Router::new()
+        .route("/ws", get(ws_handler))
+        .route("/stats", get(stats_handler))
+        .route("/metrics", get(prometheus_handler))
+        .layer(axum::Extension(state));
+
+    let cors = if config.backend_cors_allow_origins.is_empty() {
+        // If no specific origins configured, allow any origin but without credentials
+        CorsLayer::new()
+            .allow_methods(Any)
+            .allow_headers(Any)
+            .allow_origin(Any)
+    } else {
+        // If specific origins configured, allow credentials
+        CorsLayer::new()
+            .allow_methods([
+                axum::http::Method::GET,
+                axum::http::Method::POST,
+                axum::http::Method::PUT,
+                axum::http::Method::DELETE,
+                axum::http::Method::OPTIONS,
+            ])
+            .allow_headers(vec![
+                axum::http::header::CONTENT_TYPE,
+                axum::http::header::AUTHORIZATION,
+            ])
+            .allow_credentials(true)
+            .allow_origin(
+                config
+                    .backend_cors_allow_origins
+                    .iter()
+                    .filter_map(|o| o.parse::<axum::http::HeaderValue>().ok())
+                    .collect::<Vec<_>>(),
+            )
+    };
+
+    let app = app.layer(cors);
+
+    let addr = format!("{}:{}", config.host, config.port);
+    let listener = match TcpListener::bind(&addr).await {
+        Ok(listener) => {
+            info!("🎧 WebSocket server listening on: {}", addr);
+            listener
+        }
+        Err(e) => {
+            error!(
+                "❌ Failed to bind to {}: {}. Please check if the port is already in use",
+                addr, e
+            );
+            std::process::exit(1);
+        }
+    };
+
+    info!("✨ WebSocket API server ready to accept connections");
+
+    if let Err(e) = axum::serve(listener, app.into_make_service()).await {
+        error!("💥 Server error: {}", e);
+        std::process::exit(1);
+    }
+}

autogpt_platform/autogpt-rs/websocket/src/models.rs

@@ -0,0 +1,103 @@
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+
+#[derive(Default, Clone, Debug, Serialize, Deserialize)]
+pub struct WSMessage {
+    pub method: String,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub data: Option<Value>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub success: Option<bool>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub channel: Option<String>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub error: Option<String>,
+}
+
+#[derive(Deserialize)]
+pub struct Claims {
+    pub sub: String,
+}
+
+// Event models moved from events.rs
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "event_type")]
+pub enum ExecutionEvent {
+    #[serde(rename = "graph_execution_update")]
+    GraphExecutionUpdate(GraphExecutionEvent),
+    #[serde(rename = "node_execution_update")]
+    NodeExecutionUpdate(NodeExecutionEvent),
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct GraphExecutionEvent {
+    pub id: String,
+    pub graph_id: String,
+    pub graph_version: u32,
+    pub user_id: String,
+    pub status: ExecutionStatus,
+    pub started_at: Option<String>,
+    pub ended_at: Option<String>,
+    pub preset_id: Option<String>,
+    pub stats: Option<ExecutionStats>,
+
+    // Keep these as JSON since they vary by graph
+    pub inputs: Value,
+    pub outputs: Value,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct NodeExecutionEvent {
+    pub node_exec_id: String,
+    pub node_id: String,
+    pub graph_exec_id: String,
+    pub graph_id: String,
+    pub graph_version: u32,
+    pub user_id: String,
+    pub block_id: String,
+    pub status: ExecutionStatus,
+    pub add_time: String,
+    pub queue_time: Option<String>,
+    pub start_time: Option<String>,
+    pub end_time: Option<String>,
+
+    // Keep these as JSON since they vary by node type
+    pub input_data: Value,
+    pub output_data: Value,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ExecutionStats {
+    pub cost: f64,
+    pub duration: f64,
+    pub duration_cpu_only: f64,
+    pub error: Option<String>,
+    pub node_error_count: u32,
+    pub node_exec_count: u32,
+    pub node_exec_time: f64,
+    pub node_exec_time_cpu_only: f64,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "SCREAMING_SNAKE_CASE")]
+pub enum ExecutionStatus {
+    Queued,
+    Running,
+    Completed,
+    Failed,
+    Incomplete,
+    Terminated,
+}
+
+// Wrapper for the Redis event that includes the payload
+#[derive(Debug, Deserialize)]
+pub struct RedisEventWrapper {
+    pub payload: ExecutionEvent,
+}
+
+impl RedisEventWrapper {
+    pub fn parse(json_str: &str) -> Result<Self, serde_json::Error> {
+        serde_json::from_str(json_str)
+    }
+}

autogpt_platform/autogpt-rs/websocket/src/stats.rs

@@ -0,0 +1,238 @@
+use serde::{Deserialize, Serialize};
+use std::collections::HashMap;
+use std::sync::atomic::{AtomicU64, Ordering};
+use tokio::sync::RwLock;
+
+#[derive(Default)]
+pub struct Stats {
+    // Connection metrics
+    pub connections_total: AtomicU64,
+    pub connections_active: AtomicU64,
+    pub connections_failed_auth: AtomicU64,
+
+    // Message metrics
+    pub messages_received_total: AtomicU64,
+    pub messages_sent_total: AtomicU64,
+    pub messages_failed_total: AtomicU64,
+
+    // Subscription metrics
+    pub subscriptions_total: AtomicU64,
+    pub subscriptions_active: AtomicU64,
+    pub unsubscriptions_total: AtomicU64,
+
+    // Event metrics by type
+    pub events_received_total: AtomicU64,
+    pub graph_execution_events: AtomicU64,
+    pub node_execution_events: AtomicU64,
+
+    // Redis metrics
+    pub redis_messages_received: AtomicU64,
+    pub redis_messages_ignored: AtomicU64,
+
+    // Channel metrics
+    pub channels_active: RwLock<HashMap<String, usize>>, // channel -> subscriber count
+
+    // User metrics
+    pub active_users: RwLock<HashMap<String, usize>>, // user_id -> connection count
+
+    // Error metrics
+    pub errors_total: AtomicU64,
+    pub errors_json_parse: AtomicU64,
+    pub errors_message_size: AtomicU64,
+}
+
+#[derive(Serialize, Deserialize)]
+pub struct StatsSnapshot {
+    // Connection metrics
+    pub connections_total: u64,
+    pub connections_active: u64,
+    pub connections_failed_auth: u64,
+
+    // Message metrics
+    pub messages_received_total: u64,
+    pub messages_sent_total: u64,
+    pub messages_failed_total: u64,
+
+    // Subscription metrics
+    pub subscriptions_total: u64,
+    pub subscriptions_active: u64,
+    pub unsubscriptions_total: u64,
+
+    // Event metrics
+    pub events_received_total: u64,
+    pub graph_execution_events: u64,
+    pub node_execution_events: u64,
+
+    // Redis metrics
+    pub redis_messages_received: u64,
+    pub redis_messages_ignored: u64,
+
+    // Channel metrics
+    pub channels_active_count: usize,
+    pub total_subscribers: usize,
+
+    // User metrics
+    pub active_users_count: usize,
+
+    // Error metrics
+    pub errors_total: u64,
+    pub errors_json_parse: u64,
+    pub errors_message_size: u64,
+}
+
+impl Stats {
+    pub async fn snapshot(&self) -> StatsSnapshot {
+        // Take read locks for HashMap data - it's ok if this is slightly stale
+        let channels = self.channels_active.read().await;
+        let total_subscribers: usize = channels.values().sum();
+        let channels_active_count = channels.len();
+        drop(channels); // Release lock early
+
+        let users = self.active_users.read().await;
+        let active_users_count = users.len();
+        drop(users); // Release lock early
+
+        StatsSnapshot {
+            connections_total: self.connections_total.load(Ordering::Relaxed),
+            connections_active: self.connections_active.load(Ordering::Relaxed),
+            connections_failed_auth: self.connections_failed_auth.load(Ordering::Relaxed),
+
+            messages_received_total: self.messages_received_total.load(Ordering::Relaxed),
+            messages_sent_total: self.messages_sent_total.load(Ordering::Relaxed),
+            messages_failed_total: self.messages_failed_total.load(Ordering::Relaxed),
+
+            subscriptions_total: self.subscriptions_total.load(Ordering::Relaxed),
+            subscriptions_active: self.subscriptions_active.load(Ordering::Relaxed),
+            unsubscriptions_total: self.unsubscriptions_total.load(Ordering::Relaxed),
+
+            events_received_total: self.events_received_total.load(Ordering::Relaxed),
+            graph_execution_events: self.graph_execution_events.load(Ordering::Relaxed),
+            node_execution_events: self.node_execution_events.load(Ordering::Relaxed),
+
+            redis_messages_received: self.redis_messages_received.load(Ordering::Relaxed),
+            redis_messages_ignored: self.redis_messages_ignored.load(Ordering::Relaxed),
+
+            channels_active_count,
+            total_subscribers,
+            active_users_count,
+
+            errors_total: self.errors_total.load(Ordering::Relaxed),
+            errors_json_parse: self.errors_json_parse.load(Ordering::Relaxed),
+            errors_message_size: self.errors_message_size.load(Ordering::Relaxed),
+        }
+    }
+
+    pub fn to_prometheus_format(&self, snapshot: &StatsSnapshot) -> String {
+        let mut output = String::new();
+
+        // Connection metrics
+        output.push_str("# HELP ws_connections_total Total number of WebSocket connections\n");
+        output.push_str("# TYPE ws_connections_total counter\n");
+        output.push_str(&format!(
+            "ws_connections_total {}\n\n",
+            snapshot.connections_total
+        ));
+
+        output.push_str(
+            "# HELP ws_connections_active Current number of active WebSocket connections\n",
+        );
+        output.push_str("# TYPE ws_connections_active gauge\n");
+        output.push_str(&format!(
+            "ws_connections_active {}\n\n",
+            snapshot.connections_active
+        ));
+
+        output
+            .push_str("# HELP ws_connections_failed_auth Total number of failed authentications\n");
+        output.push_str("# TYPE ws_connections_failed_auth counter\n");
+        output.push_str(&format!(
+            "ws_connections_failed_auth {}\n\n",
+            snapshot.connections_failed_auth
+        ));
+
+        // Message metrics
+        output.push_str(
+            "# HELP ws_messages_received_total Total number of messages received from clients\n",
+        );
+        output.push_str("# TYPE ws_messages_received_total counter\n");
+        output.push_str(&format!(
+            "ws_messages_received_total {}\n\n",
+            snapshot.messages_received_total
+        ));
+
+        output.push_str("# HELP ws_messages_sent_total Total number of messages sent to clients\n");
+        output.push_str("# TYPE ws_messages_sent_total counter\n");
+        output.push_str(&format!(
+            "ws_messages_sent_total {}\n\n",
+            snapshot.messages_sent_total
+        ));
+
+        // Subscription metrics
+        output.push_str("# HELP ws_subscriptions_active Current number of active subscriptions\n");
+        output.push_str("# TYPE ws_subscriptions_active gauge\n");
+        output.push_str(&format!(
+            "ws_subscriptions_active {}\n\n",
+            snapshot.subscriptions_active
+        ));
+
+        // Event metrics
+        output.push_str(
+            "# HELP ws_events_received_total Total number of events received from Redis\n",
+        );
+        output.push_str("# TYPE ws_events_received_total counter\n");
+        output.push_str(&format!(
+            "ws_events_received_total {}\n\n",
+            snapshot.events_received_total
+        ));
+
+        output.push_str(
+            "# HELP ws_graph_execution_events_total Total number of graph execution events\n",
+        );
+        output.push_str("# TYPE ws_graph_execution_events_total counter\n");
+        output.push_str(&format!(
+            "ws_graph_execution_events_total {}\n\n",
+            snapshot.graph_execution_events
+        ));
+
+        output.push_str(
+            "# HELP ws_node_execution_events_total Total number of node execution events\n",
+        );
+        output.push_str("# TYPE ws_node_execution_events_total counter\n");
+        output.push_str(&format!(
+            "ws_node_execution_events_total {}\n\n",
+            snapshot.node_execution_events
+        ));
+
+        // Channel metrics
+        output.push_str("# HELP ws_channels_active Number of active channels\n");
+        output.push_str("# TYPE ws_channels_active gauge\n");
+        output.push_str(&format!(
+            "ws_channels_active {}\n\n",
+            snapshot.channels_active_count
+        ));
+
+        output.push_str(
+            "# HELP ws_total_subscribers Total number of subscribers across all channels\n",
+        );
+        output.push_str("# TYPE ws_total_subscribers gauge\n");
+        output.push_str(&format!(
+            "ws_total_subscribers {}\n\n",
+            snapshot.total_subscribers
+        ));
+
+        // User metrics
+        output.push_str("# HELP ws_active_users Number of unique users with active connections\n");
+        output.push_str("# TYPE ws_active_users gauge\n");
+        output.push_str(&format!(
+            "ws_active_users {}\n\n",
+            snapshot.active_users_count
+        ));
+
+        // Error metrics
+        output.push_str("# HELP ws_errors_total Total number of errors\n");
+        output.push_str("# TYPE ws_errors_total counter\n");
+        output.push_str(&format!("ws_errors_total {}\n", snapshot.errors_total));
+
+        output
+    }
+}

autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py

@@ -0,0 +1,35 @@
+import hashlib
+import secrets
+from typing import NamedTuple
+
+
+class APIKeyContainer(NamedTuple):
+    """Container for API key parts."""
+
+    raw: str
+    prefix: str
+    postfix: str
+    hash: str
+
+
+class APIKeyManager:
+    PREFIX: str = "agpt_"
+    PREFIX_LENGTH: int = 8
+    POSTFIX_LENGTH: int = 8
+
+    def generate_api_key(self) -> APIKeyContainer:
+        """Generate a new API key with all its parts."""
+        raw_key = f"{self.PREFIX}{secrets.token_urlsafe(32)}"
+        return APIKeyContainer(
+            raw=raw_key,
+            prefix=raw_key[: self.PREFIX_LENGTH],
+            postfix=raw_key[-self.POSTFIX_LENGTH :],
+            hash=hashlib.sha256(raw_key.encode()).hexdigest(),
+        )
+
+    def verify_api_key(self, provided_key: str, stored_hash: str) -> bool:
+        """Verify if a provided API key matches the stored hash."""
+        if not provided_key.startswith(self.PREFIX):
+            return False
+        provided_hash = hashlib.sha256(provided_key.encode()).hexdigest()
+        return secrets.compare_digest(provided_hash, stored_hash)

autogpt_platform/autogpt_libs/autogpt_libs/api_key/keysmith.py

@@ -1,81 +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."""
-        if not raw_key.startswith(self.PREFIX):
-            raise ValueError("Key without 'agpt_' prefix would fail validation")
-
-        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

@@ -1,19 +1,13 @@
-from .config import verify_settings
-from .dependencies import (
-    get_optional_user_id,
-    get_user_id,
-    requires_admin_user,
-    requires_user,
-)
-from .helpers import add_auth_responses_to_openapi
+from .depends import requires_admin_user, requires_user
+from .jwt_utils import parse_jwt_token
+from .middleware import APIKeyValidator, auth_middleware
 from .models import User
 
 __all__ = [
-    "verify_settings",
-    "get_user_id",
-    "requires_admin_user",
+    "parse_jwt_token",
     "requires_user",
-    "get_optional_user_id",
-    "add_auth_responses_to_openapi",
+    "requires_admin_user",
+    "APIKeyValidator",
+    "auth_middleware",
     "User",
 ]

autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py

@@ -1,110 +1,15 @@
-import logging
 import os
 
-from jwt.algorithms import get_default_algorithms, has_crypto
-
-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://pyjwt.readthedocs.io/en/stable/algorithms.html"
-)
-
 
 class Settings:
     def __init__(self):
-        # JWT verification key (public key for asymmetric, shared secret for symmetric)
-        self.JWT_VERIFY_KEY: str = os.getenv(
-            "JWT_VERIFY_KEY", os.getenv("SUPABASE_JWT_SECRET", "")
-        ).strip()
+        self.JWT_SECRET_KEY: str = os.getenv("SUPABASE_JWT_SECRET", "")
+        self.ENABLE_AUTH: bool = os.getenv("ENABLE_AUTH", "false").lower() == "true"
+        self.JWT_ALGORITHM: str = "HS256"
 
-        # JWT signing key (private key for asymmetric, shared secret for symmetric)
-        # Falls back to JWT_VERIFY_KEY for symmetric algorithms like HS256
-        self.JWT_SIGN_KEY: str = os.getenv("JWT_SIGN_KEY", self.JWT_VERIFY_KEY).strip()
-
-        self.JWT_ALGORITHM: str = os.getenv("JWT_SIGN_ALGORITHM", "HS256").strip()
-
-        # Token expiration settings
-        self.ACCESS_TOKEN_EXPIRE_MINUTES: int = int(
-            os.getenv("ACCESS_TOKEN_EXPIRE_MINUTES", "15")
-        )
-        self.REFRESH_TOKEN_EXPIRE_DAYS: int = int(
-            os.getenv("REFRESH_TOKEN_EXPIRE_DAYS", "7")
-        )
-
-        # JWT issuer claim
-        self.JWT_ISSUER: str = os.getenv("JWT_ISSUER", "autogpt-platform").strip()
-
-        # JWT audience claim
-        self.JWT_AUDIENCE: str = os.getenv("JWT_AUDIENCE", "authenticated").strip()
-
-        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

@@ -1,117 +0,0 @@
-"""
-FastAPI dependency functions for JWT-based authentication and authorization.
-
-These are the high-level dependency functions used in route definitions.
-"""
-
-import logging
-
-import fastapi
-from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
-
-from .jwt_utils import get_jwt_payload, verify_user
-from .models import User
-
-optional_bearer = HTTPBearer(auto_error=False)
-
-# Header name for admin impersonation
-IMPERSONATION_HEADER_NAME = "X-Act-As-User-Id"
-
-logger = logging.getLogger(__name__)
-
-
-def get_optional_user_id(
-    credentials: HTTPAuthorizationCredentials | None = fastapi.Security(
-        optional_bearer
-    ),
-) -> str | None:
-    """
-    Attempts to extract the user ID ("sub" claim) from a Bearer JWT if provided.
-
-    This dependency allows for both authenticated and anonymous access. If a valid bearer token is
-    supplied, it parses the JWT and extracts the user ID. If the token is missing or invalid, it returns None,
-    treating the request as anonymous.
-
-    Args:
-        credentials: Optional HTTPAuthorizationCredentials object from FastAPI Security dependency.
-
-    Returns:
-        The user ID (str) extracted from the JWT "sub" claim, or None if no valid token is present.
-    """
-    if not credentials:
-        return None
-
-    try:
-        # Parse JWT token to get user ID
-        from autogpt_libs.auth.jwt_utils import parse_jwt_token
-
-        payload = parse_jwt_token(credentials.credentials)
-        return payload.get("sub")
-    except Exception as e:
-        logger.debug(f"Auth token validation failed (anonymous access): {e}")
-        return None
-
-
-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(
-    request: fastapi.Request, jwt_payload: dict = fastapi.Security(get_jwt_payload)
-) -> str:
-    """
-    FastAPI dependency that returns the ID of the authenticated user.
-
-    Supports admin impersonation via X-Act-As-User-Id header:
-    - If the header is present and user is admin, returns the impersonated user ID
-    - Otherwise returns the authenticated user's own ID
-    - Logs all impersonation actions for audit trail
-
-    Raises:
-        HTTPException: 401 for authentication failures or missing user ID
-        HTTPException: 403 if non-admin tries to use impersonation
-    """
-    # Get the authenticated user's ID from JWT
-    user_id = jwt_payload.get("sub")
-    if not user_id:
-        raise fastapi.HTTPException(
-            status_code=401, detail="User ID not found in token"
-        )
-
-    # Check for admin impersonation header
-    impersonate_header = request.headers.get(IMPERSONATION_HEADER_NAME, "").strip()
-    if impersonate_header:
-        # Verify the authenticated user is an admin
-        authenticated_user = verify_user(jwt_payload, admin_only=False)
-        if authenticated_user.role != "admin":
-            raise fastapi.HTTPException(
-                status_code=403, detail="Only admin users can impersonate other users"
-            )
-
-        # Log the impersonation for audit trail
-        logger.info(
-            f"Admin impersonation: {authenticated_user.user_id} ({authenticated_user.email}) "
-            f"acting as user {impersonate_header} for requesting {request.method} {request.url}"
-        )
-
-        return impersonate_header
-
-    return user_id

autogpt_platform/autogpt_libs/autogpt_libs/auth/dependencies_test.py

@@ -1,554 +0,0 @@
-"""
-Comprehensive integration tests for authentication dependencies.
-Tests the full authentication flow from HTTP requests to user validation.
-"""
-
-import os
-from unittest.mock import Mock
-
-import pytest
-from fastapi import FastAPI, HTTPException, Request, 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)
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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)
-
-    @pytest.mark.asyncio
-    async def test_get_user_id_with_valid_payload(self, mocker: MockerFixture):
-        """Test get_user_id extracts user ID correctly."""
-        request = Mock(spec=Request)
-        request.headers = {}
-        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(request, jwt_payload)
-        assert user_id == "user-id-xyz"
-
-    @pytest.mark.asyncio
-    async def test_get_user_id_missing_sub(self):
-        """Test get_user_id with missing user ID."""
-        request = Mock(spec=Request)
-        request.headers = {}
-        jwt_payload = {"role": "user"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await get_user_id(request, jwt_payload)
-        assert exc_info.value.status_code == 401
-        assert "User ID not found" in exc_info.value.detail
-
-    @pytest.mark.asyncio
-    async def test_get_user_id_none_sub(self):
-        """Test get_user_id with None user ID."""
-        request = Mock(spec=Request)
-        request.headers = {}
-        jwt_payload = {"sub": None, "role": "user"}
-
-        with pytest.raises(HTTPException) as exc_info:
-            await get_user_id(request, 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
-
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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."""
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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"
-
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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),
-        ],
-    )
-    @pytest.mark.asyncio
-    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
-
-    @pytest.mark.asyncio
-    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"
-
-
-class TestAdminImpersonation:
-    """Test suite for admin user impersonation functionality."""
-
-    @pytest.mark.asyncio
-    async def test_admin_impersonation_success(self, mocker: MockerFixture):
-        """Test admin successfully impersonating another user."""
-        request = Mock(spec=Request)
-        request.headers = {"X-Act-As-User-Id": "target-user-123"}
-        jwt_payload = {
-            "sub": "admin-456",
-            "role": "admin",
-            "email": "admin@example.com",
-        }
-
-        # Mock verify_user to return admin user data
-        mock_verify_user = mocker.patch("autogpt_libs.auth.dependencies.verify_user")
-        mock_verify_user.return_value = Mock(
-            user_id="admin-456", email="admin@example.com", role="admin"
-        )
-
-        # Mock logger to verify audit logging
-        mock_logger = mocker.patch("autogpt_libs.auth.dependencies.logger")
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-
-        user_id = await get_user_id(request, jwt_payload)
-
-        # Should return the impersonated user ID
-        assert user_id == "target-user-123"
-
-        # Should log the impersonation attempt
-        mock_logger.info.assert_called_once()
-        log_call = mock_logger.info.call_args[0][0]
-        assert "Admin impersonation:" in log_call
-        assert "admin@example.com" in log_call
-        assert "target-user-123" in log_call
-
-    @pytest.mark.asyncio
-    async def test_non_admin_impersonation_attempt(self, mocker: MockerFixture):
-        """Test non-admin user attempting impersonation returns 403."""
-        request = Mock(spec=Request)
-        request.headers = {"X-Act-As-User-Id": "target-user-123"}
-        jwt_payload = {
-            "sub": "regular-user",
-            "role": "user",
-            "email": "user@example.com",
-        }
-
-        # Mock verify_user to return regular user data
-        mock_verify_user = mocker.patch("autogpt_libs.auth.dependencies.verify_user")
-        mock_verify_user.return_value = Mock(
-            user_id="regular-user", email="user@example.com", role="user"
-        )
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-
-        with pytest.raises(HTTPException) as exc_info:
-            await get_user_id(request, jwt_payload)
-
-        assert exc_info.value.status_code == 403
-        assert "Only admin users can impersonate other users" in exc_info.value.detail
-
-    @pytest.mark.asyncio
-    async def test_impersonation_empty_header(self, mocker: MockerFixture):
-        """Test impersonation with empty header falls back to regular user ID."""
-        request = Mock(spec=Request)
-        request.headers = {"X-Act-As-User-Id": ""}
-        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_id = await get_user_id(request, jwt_payload)
-
-        # Should fall back to the admin's own user ID
-        assert user_id == "admin-456"
-
-    @pytest.mark.asyncio
-    async def test_impersonation_missing_header(self, mocker: MockerFixture):
-        """Test normal behavior when impersonation header is missing."""
-        request = Mock(spec=Request)
-        request.headers = {}  # No impersonation header
-        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_id = await get_user_id(request, jwt_payload)
-
-        # Should return the admin's own user ID
-        assert user_id == "admin-456"
-
-    @pytest.mark.asyncio
-    async def test_impersonation_audit_logging_details(self, mocker: MockerFixture):
-        """Test that impersonation audit logging includes all required details."""
-        request = Mock(spec=Request)
-        request.headers = {"X-Act-As-User-Id": "victim-user-789"}
-        jwt_payload = {
-            "sub": "admin-999",
-            "role": "admin",
-            "email": "superadmin@company.com",
-        }
-
-        # Mock verify_user to return admin user data
-        mock_verify_user = mocker.patch("autogpt_libs.auth.dependencies.verify_user")
-        mock_verify_user.return_value = Mock(
-            user_id="admin-999", email="superadmin@company.com", role="admin"
-        )
-
-        # Mock logger to capture audit trail
-        mock_logger = mocker.patch("autogpt_libs.auth.dependencies.logger")
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-
-        user_id = await get_user_id(request, jwt_payload)
-
-        # Verify all audit details are logged
-        assert user_id == "victim-user-789"
-        mock_logger.info.assert_called_once()
-
-        log_message = mock_logger.info.call_args[0][0]
-        assert "Admin impersonation:" in log_message
-        assert "superadmin@company.com" in log_message
-        assert "victim-user-789" in log_message
-
-    @pytest.mark.asyncio
-    async def test_impersonation_header_case_sensitivity(self, mocker: MockerFixture):
-        """Test that impersonation header is case-sensitive."""
-        request = Mock(spec=Request)
-        # Use wrong case - should not trigger impersonation
-        request.headers = {"x-act-as-user-id": "target-user-123"}
-        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_id = await get_user_id(request, jwt_payload)
-
-        # Should fall back to admin's own ID (header case mismatch)
-        assert user_id == "admin-456"
-
-    @pytest.mark.asyncio
-    async def test_impersonation_with_whitespace_header(self, mocker: MockerFixture):
-        """Test impersonation with whitespace in header value."""
-        request = Mock(spec=Request)
-        request.headers = {"X-Act-As-User-Id": "  target-user-123  "}
-        jwt_payload = {
-            "sub": "admin-456",
-            "role": "admin",
-            "email": "admin@example.com",
-        }
-
-        # Mock verify_user to return admin user data
-        mock_verify_user = mocker.patch("autogpt_libs.auth.dependencies.verify_user")
-        mock_verify_user.return_value = Mock(
-            user_id="admin-456", email="admin@example.com", role="admin"
-        )
-
-        # Mock logger
-        mock_logger = mocker.patch("autogpt_libs.auth.dependencies.logger")
-
-        mocker.patch(
-            "autogpt_libs.auth.dependencies.get_jwt_payload", return_value=jwt_payload
-        )
-
-        user_id = await get_user_id(request, jwt_payload)
-
-        # Should strip whitespace and impersonate successfully
-        assert user_id == "target-user-123"
-        mock_logger.info.assert_called_once()

autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py

@@ -0,0 +1,46 @@
+import fastapi
+
+from .config import settings
+from .middleware import auth_middleware
+from .models import DEFAULT_USER_ID, 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:
+        if settings.ENABLE_AUTH:
+            raise fastapi.HTTPException(
+                status_code=401, detail="Authorization header is missing"
+            )
+        # This handles the case when authentication is disabled
+        payload = {"sub": DEFAULT_USER_ID, "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)
+
+
+def get_user_id(payload: dict = fastapi.Depends(auth_middleware)) -> str:
+    user_id = payload.get("sub")
+    if not user_id:
+        raise fastapi.HTTPException(
+            status_code=401, detail="User ID not found in token"
+        )
+    return user_id

autogpt_platform/autogpt_libs/autogpt_libs/auth/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

@@ -1,103 +1,11 @@
-import hashlib
-import logging
-import secrets
-import uuid
-from datetime import datetime, timedelta, timezone
-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
 
 
-def create_access_token(
-    user_id: str,
-    email: str,
-    role: str = "authenticated",
-    email_verified: bool = False,
-) -> str:
-    """
-    Generate a new JWT access token.
-
-    :param user_id: The user's unique identifier
-    :param email: The user's email address
-    :param role: The user's role (default: "authenticated")
-    :param email_verified: Whether the user's email is verified
-    :return: Encoded JWT token
-    """
-    settings = get_settings()
-    now = datetime.now(timezone.utc)
-
-    payload = {
-        "sub": user_id,
-        "email": email,
-        "role": role,
-        "email_verified": email_verified,
-        "aud": settings.JWT_AUDIENCE,
-        "iss": settings.JWT_ISSUER,
-        "iat": now,
-        "exp": now + timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES),
-        "jti": str(uuid.uuid4()),  # Unique token ID
-    }
-
-    return jwt.encode(payload, settings.JWT_SIGN_KEY, algorithm=settings.JWT_ALGORITHM)
-
-
-def create_refresh_token() -> tuple[str, str]:
-    """
-    Generate a new refresh token.
-
-    Returns a tuple of (raw_token, hashed_token).
-    The raw token should be sent to the client.
-    The hashed token should be stored in the database.
-    """
-    raw_token = secrets.token_urlsafe(64)
-    hashed_token = hashlib.sha256(raw_token.encode()).hexdigest()
-    return raw_token, hashed_token
-
-
-def hash_token(token: str) -> str:
-    """Hash a token using SHA-256."""
-    return hashlib.sha256(token.encode()).hexdigest()
-
-
-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.
 
@@ -105,39 +13,15 @@ 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:
-        # Build decode options
-        options = {
-            "verify_aud": True,
-            "verify_iss": bool(settings.JWT_ISSUER),
-        }
-
         payload = jwt.decode(
             token,
-            settings.JWT_VERIFY_KEY,
+            settings.JWT_SECRET_KEY,
             algorithms=[settings.JWT_ALGORITHM],
-            audience=settings.JWT_AUDIENCE,
-            issuer=settings.JWT_ISSUER if settings.JWT_ISSUER else None,
-            options=options,
+            audience="authenticated",
         )
         return payload
     except jwt.ExpiredSignatureError:
         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 +1,140 @@
+import inspect
+import logging
+import secrets
+from typing import Any, Callable, Optional
+
+from fastapi import HTTPException, Request, Security
+from fastapi.security import APIKeyHeader, HTTPBearer
+from starlette.status import HTTP_401_UNAUTHORIZED
+
+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.warning("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
+
+
+class APIKeyValidator:
+    """
+    Configurable API key validator that supports custom validation functions
+    for FastAPI applications.
+
+    This class provides a flexible way to implement API key authentication with optional
+    custom validation logic. It can be used for simple token matching
+    or more complex validation scenarios like database lookups.
+
+    Examples:
+        Simple token validation:
+        ```python
+        validator = APIKeyValidator(
+            header_name="X-API-Key",
+            expected_token="your-secret-token"
+        )
+
+        @app.get("/protected", dependencies=[Depends(validator.get_dependency())])
+        def protected_endpoint():
+            return {"message": "Access granted"}
+        ```
+
+        Custom validation with database lookup:
+        ```python
+        async def validate_with_db(api_key: str):
+            api_key_obj = await db.get_api_key(api_key)
+            return api_key_obj if api_key_obj and api_key_obj.is_active else None
+
+        validator = APIKeyValidator(
+            header_name="X-API-Key",
+            validate_fn=validate_with_db
+        )
+        ```
+
+    Args:
+        header_name (str): The name of the header containing the API key
+        expected_token (Optional[str]): The expected API key value for simple token matching
+        validate_fn (Optional[Callable]): Custom validation function that takes an API key
+            string and returns a boolean or object. Can be async.
+        error_status (int): HTTP status code to use for validation errors
+        error_message (str): Error message to return when validation fails
+    """
+
+    def __init__(
+        self,
+        header_name: str,
+        expected_token: Optional[str] = None,
+        validate_fn: Optional[Callable[[str], bool]] = None,
+        error_status: int = HTTP_401_UNAUTHORIZED,
+        error_message: str = "Invalid API key",
+    ):
+        # Create the APIKeyHeader as a class property
+        self.security_scheme = APIKeyHeader(name=header_name)
+        self.expected_token = expected_token
+        self.custom_validate_fn = validate_fn
+        self.error_status = error_status
+        self.error_message = error_message
+
+    async def default_validator(self, api_key: str) -> bool:
+        if not self.expected_token:
+            raise ValueError(
+                "Expected Token Required to be set when uisng API Key Validator default validation"
+            )
+        return secrets.compare_digest(api_key, self.expected_token)
+
+    async def __call__(
+        self, request: Request, api_key: str = Security(APIKeyHeader)
+    ) -> Any:
+        if api_key is None:
+            raise HTTPException(status_code=self.error_status, detail="Missing API key")
+
+        # Use custom validation if provided, otherwise use default equality check
+        validator = self.custom_validate_fn or self.default_validator
+        result = (
+            await validator(api_key)
+            if inspect.iscoroutinefunction(validator)
+            else validator(api_key)
+        )
+
+        if not result:
+            raise HTTPException(
+                status_code=self.error_status, detail=self.error_message
+            )
+
+        # Store validation result in request state if it's not just a boolean
+        if result is not True:
+            request.state.api_key = result
+
+        return result
+
+    def get_dependency(self):
+        """
+        Returns a callable dependency that FastAPI will recognize as a security scheme
+        """
+
+        async def validate_api_key(
+            request: Request, api_key: str = Security(self.security_scheme)
+        ) -> Any:
+            return await self(request, api_key)
+
+        # This helps FastAPI recognize it as a security dependency
+        validate_api_key.__name__ = f"validate_{self.security_scheme.model.name}"
+        return validate_api_key

autogpt_platform/autogpt_libs/autogpt_libs/auth/models.py

@@ -11,7 +11,6 @@ class User:
     email: str
     phone_number: str
     role: str
-    email_verified: bool = False
 
     @classmethod
     def from_payload(cls, payload):
@@ -19,6 +18,5 @@ class User:
             user_id=payload["sub"],
             email=payload.get("email", ""),
             phone_number=payload.get("phone", ""),
-            role=payload.get("role", "authenticated"),
-            email_verified=payload.get("email_verified", False),
+            role=payload["role"],
         )

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client.py

@@ -0,0 +1,166 @@
+import asyncio
+import contextlib
+import logging
+from functools import wraps
+from typing import Any, Awaitable, Callable, Dict, Optional, TypeVar, Union, cast
+
+import ldclient
+from fastapi import HTTPException
+from ldclient import Context, LDClient
+from ldclient.config import Config
+from typing_extensions import ParamSpec
+
+from .config import SETTINGS
+
+logger = logging.getLogger(__name__)
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+def get_client() -> LDClient:
+    """Get the LaunchDarkly client singleton."""
+    return ldclient.get()
+
+
+def initialize_launchdarkly() -> None:
+    sdk_key = SETTINGS.launch_darkly_sdk_key
+    logger.debug(
+        f"Initializing LaunchDarkly with SDK key: {'present' if sdk_key else 'missing'}"
+    )
+
+    if not sdk_key:
+        logger.warning("LaunchDarkly SDK key not configured")
+        return
+
+    config = Config(sdk_key)
+    ldclient.set_config(config)
+
+    if ldclient.get().is_initialized():
+        logger.info("LaunchDarkly client initialized successfully")
+    else:
+        logger.error("LaunchDarkly client failed to initialize")
+
+
+def shutdown_launchdarkly() -> None:
+    """Shutdown the LaunchDarkly client."""
+    if ldclient.get().is_initialized():
+        ldclient.get().close()
+        logger.info("LaunchDarkly client closed successfully")
+
+
+def create_context(
+    user_id: str, additional_attributes: Optional[Dict[str, Any]] = None
+) -> Context:
+    """Create LaunchDarkly context with optional additional attributes."""
+    builder = Context.builder(str(user_id)).kind("user")
+    if additional_attributes:
+        for key, value in additional_attributes.items():
+            builder.set(key, value)
+    return builder.build()
+
+
+def feature_flag(
+    flag_key: str,
+    default: bool = False,
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """
+    Decorator for feature flag protected endpoints.
+    """
+
+    def decorator(
+        func: Callable[P, Union[T, Awaitable[T]]],
+    ) -> Callable[P, Union[T, Awaitable[T]]]:
+        @wraps(func)
+        async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            try:
+                user_id = kwargs.get("user_id")
+                if not user_id:
+                    raise ValueError("user_id is required")
+
+                if not get_client().is_initialized():
+                    logger.warning(
+                        f"LaunchDarkly not initialized, using default={default}"
+                    )
+                    is_enabled = default
+                else:
+                    context = create_context(str(user_id))
+                    is_enabled = get_client().variation(flag_key, context, default)
+
+                if not is_enabled:
+                    raise HTTPException(status_code=404, detail="Feature not available")
+
+                result = func(*args, **kwargs)
+                if asyncio.iscoroutine(result):
+                    return await result
+                return cast(T, result)
+            except Exception as e:
+                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
+                raise
+
+        @wraps(func)
+        def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            try:
+                user_id = kwargs.get("user_id")
+                if not user_id:
+                    raise ValueError("user_id is required")
+
+                if not get_client().is_initialized():
+                    logger.warning(
+                        f"LaunchDarkly not initialized, using default={default}"
+                    )
+                    is_enabled = default
+                else:
+                    context = create_context(str(user_id))
+                    is_enabled = get_client().variation(flag_key, context, default)
+
+                if not is_enabled:
+                    raise HTTPException(status_code=404, detail="Feature not available")
+
+                return cast(T, func(*args, **kwargs))
+            except Exception as e:
+                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
+                raise
+
+        return cast(
+            Callable[P, Union[T, Awaitable[T]]],
+            async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper,
+        )
+
+    return decorator
+
+
+def percentage_rollout(
+    flag_key: str,
+    default: bool = False,
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """Decorator for percentage-based rollouts."""
+    return feature_flag(flag_key, default)
+
+
+def beta_feature(
+    flag_key: Optional[str] = None,
+    unauthorized_response: Any = {"message": "Not available in beta"},
+) -> Callable[
+    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
+]:
+    """Decorator for beta features."""
+    actual_key = f"beta-{flag_key}" if flag_key else "beta"
+    return feature_flag(actual_key, False)
+
+
+@contextlib.contextmanager
+def mock_flag_variation(flag_key: str, return_value: Any):
+    """Context manager for testing feature flags."""
+    original_variation = get_client().variation
+    get_client().variation = lambda key, context, default: (
+        return_value if key == flag_key else original_variation(key, context, default)
+    )
+    try:
+        yield
+    finally:
+        get_client().variation = original_variation

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client_test.py

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

autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/config.py

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

autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py

@@ -1,10 +1,7 @@
 """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
@@ -13,15 +10,6 @@ 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")
-
 LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
 LOG_FILE = "activity.log"
 DEBUG_LOG_FILE = "debug.log"
@@ -91,39 +79,42 @@ 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] = []
 
-    structured_logging = config.enable_cloud_logging or force_cloud_logging
-
     # Console output handlers
-    if not structured_logging:
-        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))
+    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))
+    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]
+    log_handlers += [stdout, stderr]
 
     # Cloud logging setup
-    else:
-        # Use Google Cloud Structured Log Handler. Log entries are printed to stdout
-        # in a JSON format which is automatically picked up by Google Cloud Logging.
-        from google.cloud.logging.handlers import StructuredLogHandler
+    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.sync import SyncTransport
 
-        structured_log_handler = StructuredLogHandler(stream=sys.stdout)
-        structured_log_handler.setLevel(config.level)
-        log_handlers.append(structured_log_handler)
+        client = google.cloud.logging.Client()
+        cloud_handler = CloudLoggingHandler(
+            client,
+            name="autogpt_logs",
+            transport=SyncTransport,
+        )
+        cloud_handler.setLevel(config.level)
+        log_handlers.append(cloud_handler)
 
     # File logging setup
     if config.enable_file_logging:
@@ -134,13 +125,8 @@ 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(
@@ -150,13 +136,8 @@ 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(
@@ -165,13 +146,8 @@ 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))
@@ -179,13 +155,7 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
 
     # Configure the root logger
     logging.basicConfig(
-        format=(
-            "%(levelname)s  %(message)s"
-            if structured_logging
-            else (
-                DEBUG_LOG_FORMAT if config.level == logging.DEBUG else SIMPLE_LOG_FORMAT
-            )
-        ),
+        format=DEBUG_LOG_FORMAT if config.level == logging.DEBUG else SIMPLE_LOG_FORMAT,
         level=config.level,
         handlers=log_handlers,
     )

autogpt_platform/autogpt_libs/autogpt_libs/logging/utils.py

@@ -1,5 +1,39 @@
+import logging
 import re
+from typing import Any
+
+import uvicorn.config
+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,
+        },
+    )
+
+
+def generate_uvicorn_config():
+    """
+    Generates a uvicorn logging config that silences uvicorn's default logging and tells it to use the native logging module.
+    """
+    log_config = dict(uvicorn.config.LOGGING_CONFIG)
+    log_config["loggers"]["uvicorn"] = {"handlers": []}
+    log_config["loggers"]["uvicorn.error"] = {"handlers": []}
+    log_config["loggers"]["uvicorn.access"] = {"handlers": []}
+    return log_config

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
@@ -15,8 +13,8 @@ class RateLimitSettings(BaseSettings):
         default="6379", description="Redis port", validation_alias="REDIS_PORT"
     )
 
-    redis_password: Optional[str] = Field(
-        default=None,
+    redis_password: str = Field(
+        default="password",
         description="Redis password",
         validation_alias="REDIS_PASSWORD",
     )

autogpt_platform/autogpt_libs/autogpt_libs/rate_limit/limiter.py

@@ -11,7 +11,7 @@ class RateLimiter:
         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,
+        redis_password: str = RATE_LIMIT_SETTINGS.redis_password,
         requests_per_minute: int = RATE_LIMIT_SETTINGS.requests_per_minute,
     ):
         self.redis = Redis(

autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py

@@ -0,0 +1,59 @@
+import inspect
+import threading
+from typing import Awaitable, Callable, ParamSpec, TypeVar, cast, overload
+
+P = ParamSpec("P")
+R = TypeVar("R")
+
+
+@overload
+def thread_cached(func: Callable[P, Awaitable[R]]) -> Callable[P, Awaitable[R]]: ...
+
+
+@overload
+def thread_cached(func: Callable[P, R]) -> Callable[P, R]: ...
+
+
+def thread_cached(
+    func: Callable[P, R] | Callable[P, Awaitable[R]],
+) -> Callable[P, R] | Callable[P, Awaitable[R]]:
+    thread_local = threading.local()
+
+    def _clear():
+        if hasattr(thread_local, "cache"):
+            del thread_local.cache
+
+    if inspect.iscoroutinefunction(func):
+
+        async def async_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] = await cast(Callable[P, Awaitable[R]], func)(
+                    *args, **kwargs
+                )
+            return cache[key]
+
+        setattr(async_wrapper, "clear_cache", _clear)
+        return async_wrapper
+
+    else:
+
+        def sync_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]
+
+        setattr(sync_wrapper, "clear_cache", _clear)
+        return sync_wrapper
+
+
+def clear_thread_cache(func: Callable) -> None:
+    if clear := getattr(func, "clear_cache", None):
+        clear()

autogpt_platform/autogpt_libs/autogpt_libs/utils/cache_test.py

@@ -0,0 +1,325 @@
+"""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 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

autogpt_platform/autogpt_libs/poetry.lock

@@ -48,99 +48,19 @@ files = [
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
 ]
 
-[[package]]
-name = "authlib"
-version = "1.6.6"
-description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "authlib-1.6.6-py2.py3-none-any.whl", hash = "sha256:7d9e9bc535c13974313a87f53e8430eb6ea3d1cf6ae4f6efcd793f2e949143fd"},
-    {file = "authlib-1.6.6.tar.gz", hash = "sha256:45770e8e056d0f283451d9996fbb59b70d45722b45d854d58f32878d0a40c38e"},
-]
-
-[package.dependencies]
-cryptography = "*"
-
 [[package]]
 name = "backports-asyncio-runner"
 version = "1.2.0"
 description = "Backport of asyncio.Runner, a context manager that controls event loop life cycle."
 optional = false
 python-versions = "<3.11,>=3.8"
-groups = ["dev"]
+groups = ["main"]
 markers = "python_version < \"3.11\""
 files = [
     {file = "backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5"},
     {file = "backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162"},
 ]
 
-[[package]]
-name = "bcrypt"
-version = "4.3.0"
-description = "Modern password hashing for your software and your servers"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "bcrypt-4.3.0-cp313-cp313t-macosx_10_12_universal2.whl", hash = "sha256:f01e060f14b6b57bbb72fc5b4a83ac21c443c9a2ee708e04a10e9192f90a6281"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5eeac541cefd0bb887a371ef73c62c3cd78535e4887b310626036a7c0a817bb"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59e1aa0e2cd871b08ca146ed08445038f42ff75968c7ae50d2fdd7860ade2180"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:0042b2e342e9ae3d2ed22727c1262f76cc4f345683b5c1715f0250cf4277294f"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74a8d21a09f5e025a9a23e7c0fd2c7fe8e7503e4d356c0a2c1486ba010619f09"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:0142b2cb84a009f8452c8c5a33ace5e3dfec4159e7735f5afe9a4d50a8ea722d"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_34_aarch64.whl", hash = "sha256:12fa6ce40cde3f0b899729dbd7d5e8811cb892d31b6f7d0334a1f37748b789fd"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-manylinux_2_34_x86_64.whl", hash = "sha256:5bd3cca1f2aa5dbcf39e2aa13dd094ea181f48959e1071265de49cc2b82525af"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:335a420cfd63fc5bc27308e929bee231c15c85cc4c496610ffb17923abf7f231"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:0e30e5e67aed0187a1764911af023043b4542e70a7461ad20e837e94d23e1d6c"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:3b8d62290ebefd49ee0b3ce7500f5dbdcf13b81402c05f6dafab9a1e1b27212f"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2ef6630e0ec01376f59a006dc72918b1bf436c3b571b80fa1968d775fa02fe7d"},
-    {file = "bcrypt-4.3.0-cp313-cp313t-win32.whl", hash = "sha256:7a4be4cbf241afee43f1c3969b9103a41b40bcb3a3f467ab19f891d9bc4642e4"},
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 [package.dependencies]
-cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""}
-
-[package.extras]
-docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs ; python_full_version >= \"3.8.0\"", "sphinx-rtd-theme (>=3.0.0) ; python_full_version >= \"3.8.0\""]
-docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
-nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""]
-pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
-sdist = ["build (>=1.0.0)"]
-ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==45.0.6)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
-test-randomorder = ["pytest-randomly"]
+packaging = "*"
 
 [[package]]
 name = "exceptiongroup"
@@ -545,7 +235,7 @@ version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
+groups = ["main"]
 markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
@@ -760,6 +450,23 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
+[[package]]
+name = "gotrue"
+version = "2.12.3"
+description = "Python Client Library for Supabase Auth"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+    {file = "gotrue-2.12.3.tar.gz", hash = "sha256:f874cf9d0b2f0335bfbd0d6e29e3f7aff79998cd1c14d2ad814db8c06cee3852"},
+]
+
+[package.dependencies]
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+pydantic = ">=1.10,<3"
+pyjwt = ">=2.10.1,<3.0.0"
+
 [[package]]
 name = "grpc-google-iam-v1"
 version = "0.14.2"
@@ -870,6 +577,94 @@ files = [
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
 ]
 
+[[package]]
+name = "h2"
+version = "4.2.0"
+description = "Pure-Python HTTP/2 protocol implementation"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
+]
+
+[package.dependencies]
+hpack = ">=4.1,<5"
+hyperframe = ">=6.1,<7"
+
+[[package]]
+name = "hpack"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.9"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
+    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
+]
+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.16"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<1.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.28.1"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
+]
+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
+httpcore = "==1.*"
+idna = "*"
+
+[package.extras]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "hyperframe"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -915,7 +710,7 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -962,18 +757,6 @@ dynamodb = ["boto3 (>=1.9.71)"]
 redis = ["redis (>=2.10.5)"]
 test-filesource = ["pyyaml (>=5.3.1)", "watchdog (>=3.0.0)"]
 
-[[package]]
-name = "nodeenv"
-version = "1.9.1"
-description = "Node.js virtual environment builder"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["dev"]
-files = [
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-    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
-]
-
 [[package]]
 name = "opentelemetry-api"
 version = "1.35.0"
@@ -996,7 +779,7 @@ version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"},
     {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"},
@@ -1008,7 +791,7 @@ version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
     {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
@@ -1018,6 +801,24 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["coverage", "pytest", "pytest-benchmark"]
 
+[[package]]
+name = "postgrest"
+version = "1.1.1"
+description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "postgrest-1.1.1-py3-none-any.whl", hash = "sha256:98a6035ee1d14288484bfe36235942c5fb2d26af6d8120dfe3efbe007859251a"},
+    {file = "postgrest-1.1.1.tar.gz", hash = "sha256:f3bb3e8c4602775c75c844a31f565f5f3dd584df4d36d683f0b67d01a86be322"},
+]
+
+[package.dependencies]
+deprecation = ">=2.1.0,<3.0.0"
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+pydantic = ">=1.9,<3.0"
+strenum = {version = ">=0.4.9,<0.5.0", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "proto-plus"
 version = "1.26.1"
@@ -1082,19 +883,6 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.6.1,<0.7.0"
 
-[[package]]
-name = "pycparser"
-version = "2.22"
-description = "C parser in Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\""
-files = [
-    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
-    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
-]
-
 [[package]]
 name = "pydantic"
 version = "2.11.7"
@@ -1259,7 +1047,7 @@ version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
     {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
@@ -1280,9 +1068,6 @@ files = [
     {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"},
 ]
 
-[package.dependencies]
-cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""}
-
 [package.extras]
 crypto = ["cryptography (>=3.4.0)"]
 dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx", "sphinx-rtd-theme", "zope.interface"]
@@ -1301,34 +1086,13 @@ files = [
     {file = "pyrfc3339-2.0.1.tar.gz", hash = "sha256:e47843379ea35c1296c3b6c67a948a1a490ae0584edfcbdea0eaffb5dd29960b"},
 ]
 
-[[package]]
-name = "pyright"
-version = "1.1.404"
-description = "Command line wrapper for pyright"
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "pyright-1.1.404-py3-none-any.whl", hash = "sha256:c7b7ff1fdb7219c643079e4c3e7d4125f0dafcc19d253b47e898d130ea426419"},
-    {file = "pyright-1.1.404.tar.gz", hash = "sha256:455e881a558ca6be9ecca0b30ce08aa78343ecc031d37a198ffa9a7a1abeb63e"},
-]
-
-[package.dependencies]
-nodeenv = ">=1.6.0"
-typing-extensions = ">=4.1"
-
-[package.extras]
-all = ["nodejs-wheel-binaries", "twine (>=3.4.1)"]
-dev = ["twine (>=3.4.1)"]
-nodejs = ["nodejs-wheel-binaries"]
-
 [[package]]
 name = "pytest"
 version = "8.4.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "pytest-8.4.1-py3-none-any.whl", hash = "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7"},
     {file = "pytest-8.4.1.tar.gz", hash = "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c"},
@@ -1352,7 +1116,7 @@ version = "1.1.0"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "pytest_asyncio-1.1.0-py3-none-any.whl", hash = "sha256:5fe2d69607b0bd75c656d1211f969cadba035030156745ee09e7d71740e58ecf"},
     {file = "pytest_asyncio-1.1.0.tar.gz", hash = "sha256:796aa822981e01b68c12e4827b8697108f7205020f24b5793b3c41555dab68ea"},
@@ -1366,33 +1130,13 @@ pytest = ">=8.2,<9"
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1)"]
 testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
-[[package]]
-name = "pytest-cov"
-version = "6.2.1"
-description = "Pytest plugin for measuring coverage."
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-files = [
-    {file = "pytest_cov-6.2.1-py3-none-any.whl", hash = "sha256:f5bc4c23f42f1cdd23c70b1dab1bbaef4fc505ba950d53e0081d0730dd7e86d5"},
-    {file = "pytest_cov-6.2.1.tar.gz", hash = "sha256:25cc6cc0a5358204b8108ecedc51a9b57b34cc6b8c967cc2c01a4e00d8a67da2"},
-]
-
-[package.dependencies]
-coverage = {version = ">=7.5", extras = ["toml"]}
-pluggy = ">=1.2"
-pytest = ">=6.2.5"
-
-[package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
-
 [[package]]
 name = "pytest-mock"
 version = "3.14.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main"]
 files = [
     {file = "pytest_mock-3.14.1-py3-none-any.whl", hash = "sha256:178aefcd11307d874b4cd3100344e7e2d888d9791a6a1d9bfe90fbc1b74fd1d0"},
     {file = "pytest_mock-3.14.1.tar.gz", hash = "sha256:159e9edac4c451ce77a5cdb9fc5d1100708d2dd4ba3c3df572f14097351af80e"},
@@ -1404,6 +1148,21 @@ pytest = ">=6.2.5"
 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "python-dotenv"
 version = "1.1.1"
@@ -1419,6 +1178,22 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "realtime"
+version = "2.5.3"
+description = ""
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "realtime-2.5.3-py3-none-any.whl", hash = "sha256:eb0994636946eff04c4c7f044f980c8c633c7eb632994f549f61053a474ac970"},
+    {file = "realtime-2.5.3.tar.gz", hash = "sha256:0587594f3bc1c84bf007ff625075b86db6528843e03250dc84f4f2808be3d99a"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.14.0,<5.0.0"
+websockets = ">=11,<16"
+
 [[package]]
 name = "redis"
 version = "6.2.0"
@@ -1478,31 +1253,30 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruff"
-version = "0.12.11"
+version = "0.12.3"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 groups = ["dev"]
 files = [
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+    {file = "ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d"},
+    {file = "ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7"},
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+    {file = "ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77"},
 ]
 
 [[package]]
@@ -1517,6 +1291,18 @@ files = [
     {file = "semver-3.0.4.tar.gz", hash = "sha256:afc7d8c584a5ed0a11033af086e8af226a9c0b206f313e0301f8dd7b6b589602"},
 ]
 
+[[package]]
+name = "six"
+version = "1.17.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+files = [
+    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -1548,13 +1334,83 @@ typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
 
+[[package]]
+name = "storage3"
+version = "0.12.0"
+description = "Supabase Storage client for Python."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "storage3-0.12.0-py3-none-any.whl", hash = "sha256:1c4585693ca42243ded1512b58e54c697111e91a20916cd14783eebc37e7c87d"},
+    {file = "storage3-0.12.0.tar.gz", hash = "sha256:94243f20922d57738bf42e96b9f5582b4d166e8bf209eccf20b146909f3f71b0"},
+]
+
+[package.dependencies]
+deprecation = ">=2.1.0,<3.0.0"
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+python-dateutil = ">=2.8.2,<3.0.0"
+
+[[package]]
+name = "strenum"
+version = "0.4.15"
+description = "An Enum that inherits from str."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "StrEnum-0.4.15-py3-none-any.whl", hash = "sha256:a30cda4af7cc6b5bf52c8055bc4bf4b2b6b14a93b574626da33df53cf7740659"},
+    {file = "StrEnum-0.4.15.tar.gz", hash = "sha256:878fb5ab705442070e4dd1929bb5e2249511c0bcf2b0eeacf3bcd80875c82eff"},
+]
+
+[package.extras]
+docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"]
+release = ["twine"]
+test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
+
+[[package]]
+name = "supabase"
+version = "2.16.0"
+description = "Supabase client for Python."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
+gotrue = ">=2.11.0,<3.0.0"
+httpx = ">=0.26,<0.29"
+postgrest = ">0.19,<1.2"
+realtime = ">=2.4.0,<2.6.0"
+storage3 = ">=0.10,<0.13"
+supafunc = ">=0.9,<0.11"
+
+[[package]]
+name = "supafunc"
+version = "0.10.1"
+description = "Library for Supabase Functions"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+strenum = ">=0.4.15,<0.5.0"
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main"]
 markers = "python_version < \"3.11\""
 files = [
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@@ -1597,7 +1453,7 @@ version = "4.14.1"
 description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev"]
+groups = ["main"]
 files = [
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@@ -1656,6 +1512,85 @@ typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 [package.extras]
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+[[package]]
+name = "websockets"
+version = "15.0.1"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+    {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"},
+]
+
 [[package]]
 name = "zipp"
 version = "3.23.0"
@@ -1679,4 +1614,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<4.0"
-content-hash = "de209c97aa0feb29d669a20e4422d51bdf3a0872ec37e85ce9b88ce726fcee7a"
+content-hash = "f67db13e6f68b1d67a55eee908c1c560bfa44da8509f98f842889a7570a9830f"

autogpt_platform/autogpt_libs/pyproject.toml

@@ -9,26 +9,21 @@ 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"] }
+pyjwt = "^2.10.1"
+pytest-asyncio = "^1.1.0"
+pytest-mock = "^3.14.1"
 redis = "^6.2.0"
-bcrypt = "^4.1.0"
-authlib = "^1.3.0"
+supabase = "^2.16.0"
 uvicorn = "^0.35.0"
 
 [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"
+ruff = "^0.12.3"
 
 [build-system]
 requires = ["poetry-core"]

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

@@ -1,180 +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
-
-# JWT Authentication
-# Generate a secure random key: python -c "import secrets; print(secrets.token_urlsafe(32))"
-JWT_SIGN_KEY=your-super-secret-jwt-token-with-at-least-32-characters-long
-JWT_VERIFY_KEY=your-super-secret-jwt-token-with-at-least-32-characters-long
-JWT_SIGN_ALGORITHM=HS256
-ACCESS_TOKEN_EXPIRE_MINUTES=15
-REFRESH_TOKEN_EXPIRE_DAYS=7
-JWT_ISSUER=autogpt-platform
-JWT_AUDIENCE=authenticated
-
-## ===== 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=
-
-# 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 +1,224 @@
+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"
+
+# EXECUTOR
+NUM_GRAPH_WORKERS=10
+
+BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
+
+# generate using `from cryptography.fernet import Fernet;Fernet.generate_key().decode()`
+ENCRYPTION_KEY='dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw='
+UNSUBSCRIBE_SECRET_KEY = 'HlP8ivStJjmbf6NKi78m_3FnOogut0t5ckzjsIqeaio='
+
+REDIS_HOST=localhost
+REDIS_PORT=6379
+REDIS_PASSWORD=password
+
+ENABLE_CREDIT=false
+STRIPE_API_KEY=
+STRIPE_WEBHOOK_SECRET=
+
+# What environment things should be logged under: local dev or prod
+APP_ENV=local
+# What environment to behave as: "local" or "cloud"
+BEHAVE_AS=local
+PYRO_HOST=localhost
+SENTRY_DSN=
+
+# Email For Postmark so we can send emails
+POSTMARK_SERVER_API_TOKEN=
+POSTMARK_SENDER_EMAIL=invalid@invalid.com
+POSTMARK_WEBHOOK_TOKEN=
+
+## User auth with Supabase is required for any of the 3rd party integrations with auth to work.
+ENABLE_AUTH=true
+SUPABASE_URL=http://localhost:8000
+SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
+
+# RabbitMQ credentials -- Used for communication between services
+RABBITMQ_HOST=localhost
+RABBITMQ_PORT=5672
+RABBITMQ_DEFAULT_USER=rabbitmq_user_default
+RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
+
+## GCS bucket is required for marketplace and library functionality
+MEDIA_GCS_BUCKET_NAME=
+
+## For local development, you may need to set FRONTEND_BASE_URL for the OAuth flow
+## for integrations to work. Defaults to the value of PLATFORM_BASE_URL if not set.
+# FRONTEND_BASE_URL=http://localhost:3000
+
+## PLATFORM_BASE_URL must be set to a *publicly accessible* URL pointing to your backend
+## to use the platform's webhook-related functionality.
+## If you are developing locally, you can use something like ngrok to get a publc URL
+## and tunnel it to your locally running backend.
+PLATFORM_BASE_URL=http://localhost:3000
+
+## 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
+
+## == INTEGRATION CREDENTIALS == ##
+# Each set of server side credentials is required for the corresponding 3rd party
+# integration to work.
+
+# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
+# e.g. http://localhost:3000/auth/integrations/oauth_callback
+
+# GitHub OAuth App server credentials - https://github.com/settings/developers
+GITHUB_CLIENT_ID=
+GITHUB_CLIENT_SECRET=
+
+# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
+# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
+
+# You'll need to add/enable the following scopes (minimum):
+# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
+# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
+GOOGLE_CLIENT_ID=
+GOOGLE_CLIENT_SECRET=
+
+# Twitter (X) OAuth 2.0 with PKCE Configuration
+# 1. Create a Twitter Developer Account:
+#    - Visit https://developer.x.com/en and sign up
+# 2. Set up your application:
+#    - Navigate to Developer Portal > Projects > Create Project
+#    - Add a new app to your project
+# 3. Configure app settings:
+#    - App Permissions: Read + Write + Direct Messages
+#    - App Type: Web App, Automated App or Bot
+#    - OAuth 2.0 Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+#    - Save your Client ID and Client Secret below
+TWITTER_CLIENT_ID=
+TWITTER_CLIENT_SECRET=
+
+# Linear App
+# Make a new workspace for your OAuth APP -- trust me
+# https://linear.app/settings/api/applications/new
+# Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+LINEAR_CLIENT_ID=
+LINEAR_CLIENT_SECRET=
+
+# To obtain Todoist API credentials:
+# 1. Create a Todoist account at todoist.com
+# 2. Visit the Developer Console: https://developer.todoist.com/appconsole.html
+# 3. Click "Create new app"
+# 4. Once created, copy your Client ID and Client Secret below
+TODOIST_CLIENT_ID=
+TODOIST_CLIENT_SECRET=
+
+## ===== OPTIONAL API KEYS ===== ##
+
+# LLM
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+AIML_API_KEY=
+GROQ_API_KEY=
+OPEN_ROUTER_API_KEY=
+LLAMA_API_KEY=
+
+# Reddit
+# Go to https://www.reddit.com/prefs/apps and create a new app
+# Choose "script" for the type
+# Fill in the redirect uri as <your_frontend_url>/auth/integrations/oauth_callback, e.g. http://localhost:3000/auth/integrations/oauth_callback
+REDDIT_CLIENT_ID=
+REDDIT_CLIENT_SECRET=
+REDDIT_USER_AGENT="AutoGPT:1.0 (by /u/autogpt)"
+
+# Discord
+DISCORD_BOT_TOKEN=
+
+# SMTP/Email
+SMTP_SERVER=
+SMTP_PORT=
+SMTP_USERNAME=
+SMTP_PASSWORD=
+
+# D-ID
+DID_API_KEY=
+
+# Open Weather Map
+OPENWEATHERMAP_API_KEY=
+
+# SMTP
+SMTP_SERVER=
+SMTP_PORT=
+SMTP_USERNAME=
+SMTP_PASSWORD=
+
+# Medium
+MEDIUM_API_KEY=
+MEDIUM_AUTHOR_ID=
+
+# Google Maps
+GOOGLE_MAPS_API_KEY=
+
+# Replicate
+REPLICATE_API_KEY=
+
+# Ideogram
+IDEOGRAM_API_KEY=
+
+# Fal
+FAL_API_KEY=
+
+# Exa
+EXA_API_KEY=
+
+# E2B
+E2B_API_KEY=
+
+# Mem0
+MEM0_API_KEY=
+
+# Nvidia
+NVIDIA_API_KEY=
+
+# Apollo
+APOLLO_API_KEY=
+
+# SmartLead
+SMARTLEAD_API_KEY=
+
+# ZeroBounce
+ZEROBOUNCE_API_KEY=
+
+# Ayrshare
+AYRSHARE_API_KEY=
+AYRSHARE_JWT_KEY=
+
+## ===== OPTIONAL API KEYS END ===== ##
+
+# Block Error Rate Monitoring
+BLOCK_ERROR_RATE_THRESHOLD=0.5
+BLOCK_ERROR_RATE_CHECK_INTERVAL_SECS=86400
+
+# Logging Configuration
+LOG_LEVEL=INFO
+ENABLE_CLOUD_LOGGING=false
+ENABLE_FILE_LOGGING=false
+# Use to manually set the log directory
+# LOG_DIR=./logs
+
+# Example Blocks Configuration
+# Set to true to enable example blocks in development
+# These blocks are disabled by default in production
+ENABLE_EXAMPLE_BLOCKS=false
+
+# Cloud Storage Configuration
+# Cleanup interval for expired files (hours between cleanup runs, 1-24 hours)
+CLOUD_STORAGE_CLEANUP_INTERVAL_HOURS=6

autogpt_platform/backend/.gitignore

@@ -1,4 +1,3 @@
-.env
 database.db
 database.db-journal
 dev.db
@@ -9,15 +8,4 @@ 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/*
-
-# Migration backups (contain user data)
-migration_backups/
+*.ign.*

autogpt_platform/backend/Dockerfile

@@ -1,43 +1,31 @@
-FROM debian:13-slim AS builder
+FROM python:3.11.10-slim-bookworm 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
+RUN apt-get update --allow-releaseinfo-change --fix-missing
 
-# Update package list and install Python, Node.js, and 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 \
-    && rm -rf /var/lib/apt/lists/*
+# Install build dependencies
+RUN apt-get install -y build-essential 
+RUN apt-get install -y libpq5
+RUN apt-get install -y libz-dev
+RUN apt-get install -y libssl-dev
+RUN apt-get install -y postgresql-client
 
 ENV POETRY_HOME=/opt/poetry
 ENV POETRY_NO_INTERACTION=1
-ENV POETRY_VIRTUALENVS_CREATE=true
-ENV POETRY_VIRTUALENVS_IN_PROJECT=true
+ENV POETRY_VIRTUALENVS_CREATE=false
 ENV PATH=/opt/poetry/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
@@ -47,38 +35,29 @@ RUN poetry install --no-ansi --no-root
 
 # Generate Prisma client
 COPY autogpt_platform/backend/schema.prisma ./
-COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
 RUN poetry run prisma generate
 
-FROM debian:13-slim AS server_dependencies
+FROM python:3.11.10-slim-bookworm AS server_dependencies
 
 WORKDIR /app
 
 ENV POETRY_HOME=/opt/poetry \
     POETRY_NO_INTERACTION=1 \
-    POETRY_VIRTUALENVS_CREATE=true \
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    DEBIAN_FRONTEND=noninteractive
+    POETRY_VIRTUALENVS_CREATE=false
 ENV PATH=/opt/poetry/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
@@ -89,13 +68,6 @@ 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/backend/data/partial_types.py /app/autogpt_platform/backend/backend/data/partial_types.py
-COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
-
 FROM server_dependencies AS server
 
 COPY autogpt_platform/backend /app/autogpt_platform/backend

autogpt_platform/backend/TESTING.md

@@ -132,58 +132,17 @@ def test_endpoint_success(snapshot: Snapshot):
 
 ### 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
+def override_auth_middleware():
+    return {"sub": "test-user-id"}
 
-app = fastapi.FastAPI()
-app.include_router(router)
-client = fastapi.testclient.TestClient(app)
+def override_get_user_id():
+    return "test-user-id"
 
-@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()
+app.dependency_overrides[auth_middleware] = override_auth_middleware
+app.dependency_overrides[get_user_id] = override_get_user_id
 ```
 
-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
@@ -194,10 +153,10 @@ def test_external_api_call(mocker, snapshot):
         "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),
@@ -228,17 +187,6 @@ def test_external_api_call(mocker, snapshot):
 - 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
@@ -254,18 +202,9 @@ def test_create_user(sample_user, snapshot):
     # ... 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
 
@@ -277,19 +216,16 @@ Snapshot tests work in CI by:
 ## 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
@@ -298,4 +234,4 @@ Snapshot tests work in CI by:
 
 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!
+Remember: Good tests are as important as good code!

autogpt_platform/backend/agents/StoreAgent_rows.csv

@@ -1,242 +0,0 @@
-listing_id,storeListingVersionId,slug,agent_name,agent_video,agent_image,featured,sub_heading,description,categories,useForOnboarding,is_available
-6e60a900-9d7d-490e-9af2-a194827ed632,d85882b8-633f-44ce-a315-c20a8c123d19,flux-ai-image-generator,Flux AI Image Generator,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/ca154dd1-140e-454c-91bd-2d8a00de3f08.jpg"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/577d995d-bc38-40a9-a23f-1f30f5774bdb.jpg"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/415db1b7-115c-43ab-bd6c-4e9f7ef95be1.jpg""]",false,Transform ideas into breathtaking images,"Transform ideas into breathtaking images with this AI-powered Image Generator. Using cutting-edge Flux AI technology, the tool crafts highly detailed, photorealistic visuals from simple text prompts. Perfect for artists, marketers, and content creators, this generator produces unique images tailored to user specifications. From fantastical scenes to lifelike portraits, users can unleash creativity with professional-quality results in seconds. Easy to use and endlessly versatile, bring imagination to life with the AI Image Generator today!","[""creative""]",false,true
-f11fc6e9-6166-4676-ac5d-f07127b270c1,c775f60d-b99f-418b-8fe0-53172258c3ce,youtube-transcription-scraper,YouTube Transcription Scraper,https://youtu.be/H8S3pU68lGE,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/65bce54b-0124-4b0d-9e3e-f9b89d0dc99e.jpg""]",false,Fetch the transcriptions from the most popular YouTube videos in your chosen topic,"Effortlessly gather transcriptions from multiple YouTube videos with this agent. It scrapes and compiles video transcripts into a clean, organized list, making it easy to extract insights, quotes, or content from various sources in one go. Ideal for researchers, content creators, and marketers looking to quickly analyze or repurpose video content.","[""writing""]",false,true
-17908889-b599-4010-8e4f-bed19b8f3446,6e16e65a-ad34-4108-b4fd-4a23fced5ea2,business-ownerceo-finder,Decision Maker Lead Finder,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/1020d94e-b6a2-4fa7-bbdf-2c218b0de563.jpg""]",false,Contact CEOs today,"Find the key decision-makers you need, fast.
-
-This agent identifies business owners or CEOs of local companies in any area you choose. Simply enter what kind of businesses you’re looking for and where, and it will:
-
-* Search the area and gather public information
-* Return names, roles, and contact details when available
-* Provide smart Google search suggestions if details aren’t found
-
-Perfect for:
-
-* B2B sales teams seeking verified leads
-* Recruiters sourcing local talent
-* Researchers looking to connect with business leaders
-
-Save hours of manual searching and get straight to the people who matter most.","[""business""]",true,true
-72beca1d-45ea-4403-a7ce-e2af168ee428,415b7352-0dc6-4214-9d87-0ad3751b711d,smart-meeting-brief,Smart Meeting Prep,https://youtu.be/9ydZR2hkxaY,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/2f116ce1-63ae-4d39-a5cd-f514defc2b97.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/0a71a60a-2263-4f12-9836-9c76ab49f155.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/95327695-9184-403c-907a-a9d3bdafa6a5.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/2bc77788-790b-47d4-8a61-ce97b695e9f5.png""]",true,Business meeting briefings delivered daily,"Never walk into a meeting unprepared again. Every day at 4 pm, the Smart Meeting Prep Agent scans your calendar for tomorrow's external meetings. It reviews your past email exchanges, researches each participant's background and role, and compiles the insights into a concise briefing, so you can close your workday ready for tomorrow's calls.
-
-How It Works
-1. At 4 pm, the agent scans your calendar and identifies external meetings scheduled for the next day.
-2. It reviews recent email threads with each participant to surface key relationship history and communication context.
-3. It conducts online research to gather publicly available information on roles, company backgrounds, and relevant professional data.
-4. It produces a unified briefing for each participant, including past exchange highlights, profile notes, and strategic conversation points.","[""personal""]",true,true
-9fa5697a-617b-4fae-aea0-7dbbed279976,b8ceb480-a7a2-4c90-8513-181a49f7071f,automated-support-ai,Automated Support Agent,https://youtu.be/nBMfu_5sgDA,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/ed56febc-2205-4179-9e7e-505d8500b66c.png""]",true,Automate up to 80 percent of inbound support emails,"Overview:
-Support teams spend countless hours on basic tickets. This agent automates repetitive customer support tasks. It reads incoming requests, researches your knowledge base, and responds automatically when confident. When unsure, it escalates to a human for final resolution.
-
-How it Works:
-New support emails are routed to the agent.
-The agent checks internal documentation for answers.
-It measures confidence in the answer found and either replies directly or escalates to a human.
-
-Business Value:
-Automating the easy 80 percent of support tickets allows your team to focus on high-value, complex customer issues, improving efficiency and response times.","[""business""]",false,true
-2bdac92b-a12c-4131-bb46-0e3b89f61413,31daf49d-31d3-476b-aa4c-099abc59b458,unspirational-poster-maker,Unspirational Poster Maker,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/6a490dac-27e5-405f-a4c4-8d1c55b85060.jpg"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/d343fbb5-478c-4e38-94df-4337293b61f1.jpg""]",false,Because adulting is hard,"This witty AI agent generates hilariously relatable ""motivational"" posters that tackle the everyday struggles of procrastination, overthinking, and workplace chaos with a blend of absurdity and sarcasm. From goldfish facing impossible tasks to cats in existential crises, The Unspirational Poster Maker designs tongue-in-cheek graphics and captions that mock productivity clichés and embrace our collective struggles to ""get it together."" Perfect for adding a touch of humour to the workday, these posters remind us that sometimes, all we can do is laugh at the chaos.","[""creative""]",false,true
-9adf005e-2854-4cc7-98cf-f7103b92a7b7,a03b0d8c-4751-43d6-a54e-c3b7856ba4e3,ai-shortform-video-generator-create-viral-ready-content,AI Video Generator,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/8d2670b9-fea5-4966-a597-0a4511bffdc3.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/aabe8aec-0110-4ce7-a259-4f86fe8fe07d.png""]",false,Create Viral-Ready Shorts Content in Seconds,"OVERVIEW
-Transform any trending headline or broad topic into a polished, vertical short-form video in a single run.  
-The agent automates research, scriptwriting, metadata creation, and Revid.ai rendering, returning one ready-to-publish MP4 plus its title, script and hashtags.
-
-HOW IT WORKS
-1. Input a topic or an exact news headline.  
-2. The agent fetches live search results and selects the most engaging related story.  
-3. Key facts are summarised into concise research notes.  
-4. Claude writes a 30–35 second script with visual cues, a three-second hook, tension loops, and a call-to-action.  
-5. GPT-4o generates an eye-catching title and one or two discoverability hashtags.  
-6. The script is sent to a state-of-the-art AI video generator to render a single 9:16 MP4 (default: 720 p, 30 fps, voice “Brian”, style “movingImage”, music “Bladerunner 2049”).  
-   – All voice, style and resolution settings can be adjusted in the Builder before you press ""Run"".  
-7. Output delivered: Title, Script, Hashtags, Video URL.
-
-KEY USE CASES
-- Broad-topic explainers (e.g. “Artificial Intelligence” or “Climate Tech”).  
-- Real-time newsjacking with a specific breaking headline.  
-- Product-launch spotlights and quick event recaps while interest is high.  
-
-BUSINESS VALUE
-- One-click speed: from idea to finished video in minutes.  
-- Consistent brand look: Revid presets keep voice, style and aspect ratio on spec.  
-- No-code workflow: marketers create social video without design or development queues.  
-- Cloud convenience: Auto-GPT Cloud users are pre-configured with all required keys.  
-  Self-hosted users simply add OpenAI, Anthropic, Perplexity (OpenRouter/Jina) and Revid keys once.
-
-IMPORTANT NOTES
-- The agent outputs exactly one video per execution. Run it again for additional shorts.  
-- Video rendering time varies; AI-generated footage may take several minutes.","[""writing""]",false,true
-864e48ef-fee5-42c1-b6a4-2ae139db9fc1,55d40473-0f31-4ada-9e40-d3a7139fcbd4,automated-blog-writer,Automated SEO Blog Writer,https://youtu.be/nKcDCbDVobs,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/2dd5f95b-5b30-4bf8-a11b-bac776c5141a.jpg""]",true,"Automate research, writing, and publishing for high-ranking blog posts","Scale your blog with a fully automated content engine. The Automated SEO Blog Writer learns your brand voice, finds high-demand keywords, and creates SEO-optimized articles that attract organic traffic and boost visibility.
-
-How it works:
-
-1. Share your pitch, website, and values.
-2. The agent studies your site and uncovers proven SEO opportunities.
-3. It spends two hours researching and drafting each post.
-4. You set the cadence—publishing runs on autopilot.
-
-Business value: Consistently publish research-backed, optimized posts that build domain authority, rankings, and thought leadership while you focus on what matters most.
-
-Use cases:
-• Founders: Keep your blog active with no time drain.
-• Agencies: Deliver scalable SEO content for clients.
-• Strategists: Automate execution, focus on strategy.
-• Marketers: Drive steady organic growth.
-• Local businesses: Capture nearby search traffic.","[""writing""]",false,true
-6046f42e-eb84-406f-bae0-8e052064a4fa,a548e507-09a7-4b30-909c-f63fcda10fff,lead-finder-local-businesses,Lead Finder,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/abd6605f-d5f8-426b-af36-052e8ba5044f.webp""]",false,Auto-Prospect Like a Pro,"Turbo-charge your local lead generation with the AutoGPT Marketplace’s top Google Maps prospecting agent. “Lead Finder: Local Businesses” delivers verified, ready-to-contact prospects in any niche and city—so you can focus on closing, not searching.
-
-**WHAT IT DOES**
-• Searches Google Maps via the official API (no scraping)
-• Prompts like “dentists in Chicago” or “coffee shops near me”
-• Returns: Name, Website, Rating, Reviews, **Phone & Address**
-• Exports instantly to your CRM, sheet, or outreach workflow
-
-**WHY YOU’LL LOVE IT**
-✓ Hyper-targeted leads in minutes
-✓ Unlimited searches & locations
-✓ Zero CAPTCHAs or IP blocks
-✓ Works on AutoGPT Cloud or self-hosted (with your API key)
-✓ Cut prospecting time by 90%
-
-**PERFECT FOR**
-— Marketers & PPC agencies
-— SEO consultants & designers
-— SaaS founders & sales teams
-
-Stop scrolling directories—start filling your pipeline. Start now and let AI prospect while you profit.
-
-→ Click *Add to Library* and own your market today.","[""business""]",true,true
-f623c862-24e9-44fc-8ce8-d8282bb51ad2,eafa21d3-bf14-4f63-a97f-a5ee41df83b3,linkedin-post-generator,LinkedIn Post Generator,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/297f6a8e-81a8-43e2-b106-c7ad4a5662df.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/fceebdc1-aef6-4000-97fc-4ef587f56bda.png""]",false,Auto‑craft LinkedIn gold,"Create research‑driven, high‑impact LinkedIn posts in minutes. This agent searches YouTube for the best videos on your chosen topic, pulls their transcripts, and distils the most valuable insights into a polished post ready for your company page or personal feed.  
-
-FEATURES  
-• Automated YouTube research – discovers and analyses top‑ranked videos so you don’t have to  
-• AI‑curated synthesis – combines multiple transcripts into one authoritative narrative  
-• Full creative control – adjust style, tone, objective, opinion, clarity, target word count and number of videos  
-• LinkedIn‑optimised output – hook, 2‑3 key points, CTA, strategic line breaks, 3‑5 hashtags, no markdown  
-• One‑click publish – returns a ready‑to‑post text block (≤1 300 characters)  
-
-HOW IT WORKS  
-1. Enter a topic and your preferred writing parameters.  
-2. The agent builds a YouTube search, fetches the page, and extracts the top N video URLs.  
-3. It pulls each transcript, then feeds them—plus your settings—into Claude 3.5 Sonnet.  
-4. The model writes a concise, engaging post designed for maximum LinkedIn engagement.  
-
-USE CASES  
-• Thought‑leadership updates backed by fresh video research  
-• Rapid industry summaries after major events, webinars, or conferences  
-• Consistent LinkedIn content for busy founders, marketers, and creators  
-
-WHY YOU’LL LOVE IT  
-Save hours of manual research, avoid surface‑level hot‑takes, and publish posts that showcase real expertise—without the heavy lift.","[""writing""]",true,true
-7d4120ad-b6b3-4419-8bdb-7dd7d350ef32,e7bb29a1-23c7-4fee-aa3b-5426174b8c52,youtube-to-linkedin-post-converter,YouTube to LinkedIn Post Converter,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/f084b326-a708-4396-be51-7ba59ad2ef32.png""]",false,Transform Your YouTube Videos into Engaging LinkedIn Posts with AI,"WHAT IT DOES: 
-This agent converts YouTube video content into a LinkedIn post by analyzing the video's transcript. It provides you with a tailored post that reflects the core ideas, key takeaways, and tone of the original video, optimizing it for engagement on LinkedIn.
-
-HOW IT WORKS:
-- You provide the URL to the YouTube video (required)
-- You can choose the structure for the LinkedIn post (e.g., Personal Achievement Story, Lesson Learned, Thought Leadership, etc.)
-- You can also select the tone (e.g., Inspirational, Analytical, Conversational, etc.)
-- The transcript of the video is analyzed by the GPT-4 model and the Claude 3.5 Sonnet model
-- The models extract key insights, memorable quotes, and the main points from the video
-- You’ll receive a LinkedIn post, formatted according to your chosen structure and tone, optimized for professional engagement
-
-INPUTS:
-- Source YouTube Video – Provide the URL to the YouTube video
-- Structure – Choose the post format (e.g., Personal Achievement Story, Thought Leadership, etc.)
-- Content – Specify the main message or idea of the post (e.g., Hot Take, Key Takeaways, etc.)
-- Tone – Select the tone for the post (e.g., Conversational, Inspirational, etc.)
-
-OUTPUT:
-- LinkedIn Post – A well-crafted, AI-generated LinkedIn post with a professional tone, based on the video content and your specified preferences
-
-Perfect for content creators, marketers, and professionals who want to repurpose YouTube videos for LinkedIn and boost their professional branding.","[""writing""]",false,true
-c61d6a83-ea48-4df8-b447-3da2d9fe5814,00fdd42c-a14c-4d19-a567-65374ea0e87f,personalized-morning-coffee-newsletter,Personal Newsletter,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/f4b38e4c-8166-4caf-9411-96c9c4c82d4c.png""]",false,Start your day with personalized AI newsletters that deliver credibility and context for every interest or mood.,"This Personal Newsletter Agent provides a bespoke daily digest on your favorite topics and tone. Whether you prefer industry insights, lighthearted reads, or breaking news, this agent crafts your own unique newsletter to keep you informed and entertained.
-
-
-How It Works
-1. Enter your favorite topics, industries, or areas of interest.
-2. Choose your tone—professional, casual, or humorous.
-3. Set your preferred delivery cadence: daily or weekly.
-4. The agent scans top sources and compiles 3–5 engaging stories, insights, and fun facts into a conversational newsletter.
-
-Skip the morning scroll and enjoy a thoughtfully curated newsletter designed just for you. Stay ahead of trends, spark creative ideas, and enjoy an effortless, informed start to your day.
-
-
-Use Cases
-• Executives: Get a daily digest of market updates and leadership insights.
-• Marketers: Receive curated creative trends and campaign inspiration.
-• Entrepreneurs: Stay updated on your industry without information overload.","[""research""]",true,true
-e2e49cfc-4a39-4d62-a6b3-c095f6d025ff,fc2c9976-0962-4625-a27b-d316573a9e7f,email-address-finder,Email Scout - Contact Finder Assistant,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/da8a690a-7a8b-4c1d-b6f8-e2f840c0205d.jpg"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/6a2ac25c-1609-4881-8140-e6da2421afb3.jpg"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/26179263-fe06-45bd-b6a0-0754660a0a46.jpg""]",false,Find contact details from name and location using AI search,"Finding someone's professional email address can be time-consuming and frustrating. Manual searching across multiple websites, social profiles, and business directories often leads to dead ends or outdated information.
-
-Email Scout automates this process by intelligently searching across publicly available sources when you provide a person's name and location. Simply input basic information like ""Tim Cook, USA"" or ""Sarah Smith, London"" and let the AI assistant do the work of finding potential contact details.
-
-Key Features:
-- Quick search from just name and location
-- Scans multiple public sources
-- Automated AI-powered search process
-- Easy to use with simple inputs
-
-Perfect for recruiters, business development professionals, researchers, and anyone needing to establish professional contact.
-
-Note: This tool searches only publicly available information. Search results depend on what contact information people have made public. Some searches may not yield results if the information isn't publicly accessible.","[""""]",false,true
-81bcc372-0922-4a36-bc35-f7b1e51d6939,e437cc95-e671-489d-b915-76561fba8c7f,ai-youtube-to-blog-converter,YouTube Video to SEO Blog Writer,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/239e5a41-2515-4e1c-96ef-31d0d37ecbeb.webp"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/c7d96966-786f-4be6-ad7d-3a51c84efc0e.png"",""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/0275a74c-e2c2-4e29-a6e4-3a616c3c35dd.png""]",false,One link. One click. One powerful blog post.,"Effortlessly transform your YouTube videos into high-quality, SEO-optimized blog posts.
-
-Your videos deserve a second life—in writing.  
-Make your content work twice as hard by repurposing it into engaging, searchable articles.
-
-Perfect for content creators, marketers, and bloggers, this tool analyzes video content and generates well-structured blog posts tailored to your tone, audience, and word count. Just paste a YouTube URL and let the AI handle the rest.
-
-FEATURES
-
-• CONTENT ANALYSIS  
-  Extracts key points from the video while preserving your message and intent.
-
-• CUSTOMIZABLE OUTPUT  
-  Select a tone that fits your audience: casual, professional, educational, or formal.
-
-• SEO OPTIMIZATION  
-  Automatically creates engaging titles and structured subheadings for better search visibility.
-
-• USER-FRIENDLY  
-  Repurpose your videos into written content to expand your reach and improve accessibility.
-
-Whether you're looking to grow your blog, boost SEO, or simply get more out of your content, the AI YouTube-to-Blog Converter makes it effortless.
-","[""writing""]",true,true
-5c3510d2-fc8b-4053-8e19-67f53c86eb1a,f2cc74bb-f43f-4395-9c35-ecb30b5b4fc9,ai-webpage-copy-improver,AI Webpage Copy Improver,,"[""https://storage.googleapis.com/agpt-prod-website-artifacts/users/b3e41ea4-2f4c-4964-927c-fe682d857bad/images/d562d26f-5891-4b09-8859-fbb205972313.jpg""]",false,Boost Your Website's Search Engine Performance,"Elevate your web content with this powerful AI Webpage Copy Improver. Designed for marketers, SEO specialists, and web developers, this tool analyses and enhances website copy for maximum impact. Using advanced language models, it optimizes text for better clarity, SEO performance, and increased conversion rates. The AI examines your existing content, identifies areas for improvement, and generates refined copy that maintains your brand voice while boosting engagement. From homepage headlines to product descriptions, transform your web presence with AI-driven insights. Improve readability, incorporate targeted keywords, and craft compelling calls-to-action - all with the click of a button. Take your digital marketing to the next level with the AI Webpage Copy Improver.","[""marketing""]",true,true
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-- Effortless Function Generation: convert natural‑language specs into complete functions.  
-- Customizable Inputs: define the parameters that matter to you.  
-- Versatile Use Cases: simulate data, automate tasks, prototype ideas.  
-- Seamless Integration: add the generated function directly to your codebase.  
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-Result: a list of dictionaries such as  
-[  
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autogpt_platform/backend/agents/agent_31daf49d-31d3-476b-aa4c-099abc59b458.json

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autogpt_platform/backend/agents/agent_516d813b-d1bc-470f-add7-c63a4b2c2bad.json

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-          "llama3": "ollama",
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-          "llama3.2": "ollama",
-          "llama3.3": "ollama",
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-          "meta-llama/Llama-3.3-70B-Instruct-Turbo": "aiml_api",
-          "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "aiml_api",
-          "meta-llama/llama-4-maverick": "open_router",
-          "meta-llama/llama-4-scout": "open_router",
-          "microsoft/wizardlm-2-8x22b": "open_router",
-          "mistralai/mistral-nemo": "open_router",
-          "moonshotai/kimi-k2": "open_router",
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-          "qwen/qwen3-235b-a22b-thinking-2507": "open_router",
-          "qwen/qwen3-coder": "open_router",
-          "v0-1.0-md": "v0",
-          "v0-1.5-lg": "v0",
-          "v0-1.5-md": "v0",
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-          "x-ai/grok-4-fast": "open_router",
-          "x-ai/grok-4.1-fast": "open_router",
-          "x-ai/grok-code-fast-1": "open_router"
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-    },
-    "required": [
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-    "title": "AIFunctionCredentialsInputSchema",
-    "type": "object"
-  }
-}

autogpt_platform/backend/agents/agent_d85882b8-633f-44ce-a315-c20a8c123d19.json

@@ -1,403 +0,0 @@
-{
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-  "version": 12,
-  "is_active": true,
-  "name": "Flux AI Image Generator",
-  "description": "Transform ideas into breathtaking images with this AI-powered Image Generator. Using cutting-edge Flux AI technology, the tool crafts highly detailed, photorealistic visuals from simple text prompts. Perfect for artists, marketers, and content creators, this generator produces unique images tailored to user specifications. From fantastical scenes to lifelike portraits, users can unleash creativity with professional-quality results in seconds. Easy to use and endlessly versatile, bring imagination to life with the AI Image Generator today!",
-  "instructions": null,
-  "recommended_schedule_cron": null,
-  "nodes": [
-    {
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-      "block_id": "cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
-      "input_default": {
-        "text": "Press the \"Advanced\" toggle and input your replicate API key.\n\nYou can get one here:\nhttps://replicate.com/account/api-tokens\n"
-      },
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-      "block_id": "363ae599-353e-4804-937e-b2ee3cef3da4",
-      "input_default": {
-        "name": "Generated Image"
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-      "metadata": {
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-      "input_default": {
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-        "value": "Otto the friendly, purple \"Chief Automation Octopus\" helping people automate their tedious tasks.",
-        "description": "The subject of the image"
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-          "sink_id": "0d1bca9a-d9b8-4bfd-a19c-fe50b54f4b12",
-          "source_name": "result",
-          "sink_name": "prompt_values_#_TOPIC",
-          "is_static": true
-        }
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-      "graph_id": "ed2091cf-5b27-45a9-b3ea-42396f95b256",
-      "graph_version": 12,
-      "webhook_id": null,
-      "webhook": null
-    },
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-      "block_id": "90f8c45e-e983-4644-aa0b-b4ebe2f531bc",
-      "input_default": {
-        "prompt": "dog",
-        "output_format": "png",
-        "replicate_model_name": "Flux Pro 1.1"
-      },
-      "metadata": {
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-          "sink_id": "50bc23e9-f2b7-4959-8710-99679ed9eeea",
-          "source_name": "response",
-          "sink_name": "prompt",
-          "is_static": false
-        }
-      ],
-      "output_links": [
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-          "id": "06665d23-2f3d-4445-8f22-573446fcff5b",
-          "source_id": "50bc23e9-f2b7-4959-8710-99679ed9eeea",
-          "sink_id": "0d1dec1a-e4ee-4349-9673-449a01bbf14e",
-          "source_name": "result",
-          "sink_name": "value",
-          "is_static": false
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-      "graph_id": "ed2091cf-5b27-45a9-b3ea-42396f95b256",
-      "graph_version": 12,
-      "webhook_id": null,
-      "webhook": null
-    },
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-      "block_id": "1f292d4a-41a4-4977-9684-7c8d560b9f91",
-      "input_default": {
-        "model": "gpt-4o-mini",
-        "prompt": "Generate an incredibly detailed, photorealistic image prompt about {{TOPIC}}, describing the camera it's taken with and prompting the diffusion model to use all the best quality techniques.\n\nOutput only the prompt with no additional commentary.",
-        "prompt_values": {}
-      },
-      "metadata": {
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-          "y": 962.8382498113764
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-      "input_links": [
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-          "sink_id": "0d1bca9a-d9b8-4bfd-a19c-fe50b54f4b12",
-          "source_name": "result",
-          "sink_name": "prompt_values_#_TOPIC",
-          "is_static": true
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-      "output_links": [
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-          "source_id": "0d1bca9a-d9b8-4bfd-a19c-fe50b54f4b12",
-          "sink_id": "50bc23e9-f2b7-4959-8710-99679ed9eeea",
-          "source_name": "response",
-          "sink_name": "prompt",
-          "is_static": false
-        }
-      ],
-      "graph_id": "ed2091cf-5b27-45a9-b3ea-42396f95b256",
-      "graph_version": 12,
-      "webhook_id": null,
-      "webhook": null
-    }
-  ],
-  "links": [
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-      "source_id": "6f24c45f-1548-4eda-9784-da06ce0abef8",
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-      "source_name": "result",
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-      "is_static": true
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-      "source_id": "50bc23e9-f2b7-4959-8710-99679ed9eeea",
-      "sink_id": "0d1dec1a-e4ee-4349-9673-449a01bbf14e",
-      "source_name": "result",
-      "sink_name": "value",
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-    },
-    {
-      "id": "a17ec505-9377-4700-8fe0-124ca81d43a9",
-      "source_id": "0d1bca9a-d9b8-4bfd-a19c-fe50b54f4b12",
-      "sink_id": "50bc23e9-f2b7-4959-8710-99679ed9eeea",
-      "source_name": "response",
-      "sink_name": "prompt",
-      "is_static": false
-    }
-  ],
-  "forked_from_id": null,
-  "forked_from_version": null,
-  "sub_graphs": [],
-  "user_id": "",
-  "created_at": "2024-12-20T18:46:11.492Z",
-  "input_schema": {
-    "type": "object",
-    "properties": {
-      "Image Subject": {
-        "advanced": false,
-        "secret": false,
-        "title": "Image Subject",
-        "description": "The subject of the image",
-        "default": "Otto the friendly, purple \"Chief Automation Octopus\" helping people automate their tedious tasks."
-      }
-    },
-    "required": []
-  },
-  "output_schema": {
-    "type": "object",
-    "properties": {
-      "Generated Image": {
-        "advanced": false,
-        "secret": false,
-        "title": "Generated Image"
-      }
-    },
-    "required": [
-      "Generated Image"
-    ]
-  },
-  "has_external_trigger": false,
-  "has_human_in_the_loop": false,
-  "trigger_setup_info": null,
-  "credentials_input_schema": {
-    "properties": {
-      "replicate_api_key_credentials": {
-        "credentials_provider": [
-          "replicate"
-        ],
-        "credentials_types": [
-          "api_key"
-        ],
-        "properties": {
-          "id": {
-            "title": "Id",
-            "type": "string"
-          },
-          "title": {
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-                "type": "string"
-              },
-              {
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-              }
-            ],
-            "default": null,
-            "title": "Title"
-          },
-          "provider": {
-            "const": "replicate",
-            "title": "Provider",
-            "type": "string"
-          },
-          "type": {
-            "const": "api_key",
-            "title": "Type",
-            "type": "string"
-          }
-        },
-        "required": [
-          "id",
-          "provider",
-          "type"
-        ],
-        "title": "CredentialsMetaInput[Literal[<ProviderName.REPLICATE: 'replicate'>], Literal['api_key']]",
-        "type": "object",
-        "discriminator_values": []
-      },
-      "openai_api_key_credentials": {
-        "credentials_provider": [
-          "openai"
-        ],
-        "credentials_types": [
-          "api_key"
-        ],
-        "properties": {
-          "id": {
-            "title": "Id",
-            "type": "string"
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-          "title": {
-            "anyOf": [
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-            ],
-            "default": null,
-            "title": "Title"
-          },
-          "provider": {
-            "const": "openai",
-            "title": "Provider",
-            "type": "string"
-          },
-          "type": {
-            "const": "api_key",
-            "title": "Type",
-            "type": "string"
-          }
-        },
-        "required": [
-          "id",
-          "provider",
-          "type"
-        ],
-        "title": "CredentialsMetaInput[Literal[<ProviderName.OPENAI: 'openai'>], Literal['api_key']]",
-        "type": "object",
-        "discriminator": "model",
-        "discriminator_mapping": {
-          "Llama-3.3-70B-Instruct": "llama_api",
-          "Llama-3.3-8B-Instruct": "llama_api",
-          "Llama-4-Maverick-17B-128E-Instruct-FP8": "llama_api",
-          "Llama-4-Scout-17B-16E-Instruct-FP8": "llama_api",
-          "Qwen/Qwen2.5-72B-Instruct-Turbo": "aiml_api",
-          "amazon/nova-lite-v1": "open_router",
-          "amazon/nova-micro-v1": "open_router",
-          "amazon/nova-pro-v1": "open_router",
-          "claude-3-7-sonnet-20250219": "anthropic",
-          "claude-3-haiku-20240307": "anthropic",
-          "claude-haiku-4-5-20251001": "anthropic",
-          "claude-opus-4-1-20250805": "anthropic",
-          "claude-opus-4-20250514": "anthropic",
-          "claude-opus-4-5-20251101": "anthropic",
-          "claude-sonnet-4-20250514": "anthropic",
-          "claude-sonnet-4-5-20250929": "anthropic",
-          "cohere/command-r-08-2024": "open_router",
-          "cohere/command-r-plus-08-2024": "open_router",
-          "deepseek/deepseek-chat": "open_router",
-          "deepseek/deepseek-r1-0528": "open_router",
-          "dolphin-mistral:latest": "ollama",
-          "google/gemini-2.0-flash-001": "open_router",
-          "google/gemini-2.0-flash-lite-001": "open_router",
-          "google/gemini-2.5-flash": "open_router",
-          "google/gemini-2.5-flash-lite-preview-06-17": "open_router",
-          "google/gemini-2.5-pro-preview-03-25": "open_router",
-          "google/gemini-3-pro-preview": "open_router",
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-          "gpt-4o": "openai",
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-          "gpt-5-2025-08-07": "openai",
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-          "llama-3.3-70b-versatile": "groq",
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-          "llama3.1:405b": "ollama",
-          "llama3.2": "ollama",
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-          "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "aiml_api",
-          "meta-llama/llama-4-maverick": "open_router",
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-          "microsoft/wizardlm-2-8x22b": "open_router",
-          "mistralai/mistral-nemo": "open_router",
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-          "nousresearch/hermes-3-llama-3.1-405b": "open_router",
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-          "qwen/qwen3-235b-a22b-thinking-2507": "open_router",
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-          "v0-1.0-md": "v0",
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-          "v0-1.5-md": "v0",
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-      "openai_api_key_credentials"
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-    "type": "object"
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-}

autogpt_platform/backend/agents/agent_f2cc74bb-f43f-4395-9c35-ecb30b5b4fc9.json

@@ -1,505 +0,0 @@
-{
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-  "version": 12,
-  "is_active": true,
-  "name": "AI Webpage Copy Improver",
-  "description": "Elevate your web content with this powerful AI Webpage Copy Improver. Designed for marketers, SEO specialists, and web developers, this tool analyses and enhances website copy for maximum impact. Using advanced language models, it optimizes text for better clarity, SEO performance, and increased conversion rates. The AI examines your existing content, identifies areas for improvement, and generates refined copy that maintains your brand voice while boosting engagement. From homepage headlines to product descriptions, transform your web presence with AI-driven insights. Improve readability, incorporate targeted keywords, and craft compelling calls-to-action - all with the click of a button. Take your digital marketing to the next level with the AI Webpage Copy Improver.",
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-  "recommended_schedule_cron": null,
-  "nodes": [
-    {
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-      "input_default": {
-        "name": "Improved Webpage Copy"
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-        "position": {
-          "x": 1039.5884372540172,
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-      "input_default": {
-        "name": "Original Page Analysis",
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-      "metadata": {
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autogpt_platform/backend/agents/agent_fc2c9976-0962-4625-a27b-d316573a9e7f.json

@@ -1,615 +0,0 @@
-{
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-          "source_name": "result",
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-          "amazon/nova-micro-v1": "open_router",
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-          "claude-haiku-4-5-20251001": "anthropic",
-          "claude-opus-4-1-20250805": "anthropic",
-          "claude-opus-4-20250514": "anthropic",
-          "claude-opus-4-5-20251101": "anthropic",
-          "claude-sonnet-4-20250514": "anthropic",
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-          "meta-llama/llama-4-maverick": "open_router",
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-          "qwen/qwen3-235b-a22b-thinking-2507": "open_router",
-          "qwen/qwen3-coder": "open_router",
-          "v0-1.0-md": "v0",
-          "v0-1.5-lg": "v0",
-          "v0-1.5-md": "v0",
-          "x-ai/grok-4": "open_router",
-          "x-ai/grok-4-fast": "open_router",
-          "x-ai/grok-4.1-fast": "open_router",
-          "x-ai/grok-code-fast-1": "open_router"
-        },
-        "discriminator_values": [
-          "claude-sonnet-4-5-20250929"
-        ]
-      }
-    },
-    "required": [
-      "jina_api_key_credentials",
-      "anthropic_api_key_credentials"
-    ],
-    "title": "EmailAddressFinderCredentialsInputSchema",
-    "type": "object"
-  }
-}

autogpt_platform/backend/backend/app.py

@@ -43,11 +43,11 @@ def main(**kwargs):
 
     run_processes(
         DatabaseManager().set_log_level("warning"),
+        ExecutionManager(),
         Scheduler(),
         NotificationManager(),
         WebsocketServer(),
         AgentServer(),
-        ExecutionManager(),
         **kwargs,
     )
 

autogpt_platform/backend/backend/blocks/__init__.py

@@ -1,3 +1,4 @@
+import functools
 import importlib
 import logging
 import os
@@ -5,8 +6,6 @@ import re
 from pathlib import Path
 from typing import TYPE_CHECKING, TypeVar
 
-from backend.util.cache import cached
-
 logger = logging.getLogger(__name__)
 
 
@@ -16,7 +15,7 @@ if TYPE_CHECKING:
 T = TypeVar("T")
 
 
-@cached(ttl_seconds=3600)
+@functools.cache
 def load_all_blocks() -> dict[str, type["Block"]]:
     from backend.data.block import Block
     from backend.util.settings import Config

autogpt_platform/backend/backend/blocks/agent.py

@@ -1,38 +1,36 @@
+import asyncio
 import logging
 from typing import Any, Optional
 
+from pydantic import JsonValue
+
 from backend.data.block import (
     Block,
     BlockCategory,
     BlockInput,
     BlockOutput,
     BlockSchema,
-    BlockSchemaInput,
     BlockType,
     get_block,
 )
-from backend.data.execution import ExecutionContext, ExecutionStatus, NodesInputMasks
+from backend.data.execution import ExecutionStatus
 from backend.data.model import NodeExecutionStats, SchemaField
-from backend.util.json import validate_with_jsonschema
-from backend.util.retry import func_retry
+from backend.util import json, retry
 
 _logger = logging.getLogger(__name__)
 
 
 class AgentExecutorBlock(Block):
-    class Input(BlockSchemaInput):
+    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(
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = SchemaField(
             default=None, hidden=True
         )
 
@@ -51,10 +49,9 @@ class AgentExecutorBlock(Block):
 
         @classmethod
         def get_mismatch_error(cls, data: BlockInput) -> str | None:
-            return validate_with_jsonschema(cls.get_input_schema(data), data)
+            return json.validate_with_jsonschema(cls.get_input_schema(data), data)
 
     class Output(BlockSchema):
-        # Use BlockSchema to avoid automatic error field that could clash with graph outputs
         pass
 
     def __init__(self):
@@ -67,14 +64,8 @@ class AgentExecutorBlock(Block):
             categories={BlockCategory.AGENT},
         )
 
-    async def run(
-        self,
-        input_data: Input,
-        *,
-        graph_exec_id: str,
-        execution_context: ExecutionContext,
-        **kwargs,
-    ) -> BlockOutput:
+    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(
@@ -83,9 +74,6 @@ class AgentExecutorBlock(Block):
             user_id=input_data.user_id,
             inputs=input_data.inputs,
             nodes_input_masks=input_data.nodes_input_masks,
-            execution_context=execution_context.model_copy(
-                update={"parent_execution_id": graph_exec_id},
-            ),
         )
 
         logger = execution_utils.LogMetadata(
@@ -107,14 +95,23 @@ class AgentExecutorBlock(Block):
                 logger=logger,
             ):
                 yield name, data
-        except BaseException as e:
+        except asyncio.CancelledError:
             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."
+                f"Execution of graph {input_data.graph_id}v{input_data.graph_version} was cancelled."
+            )
+        except Exception as e:
+            await self._stop(
+                graph_exec_id=graph_exec.id,
+                user_id=input_data.user_id,
+                logger=logger,
+            )
+            logger.error(
+                f"Execution of graph {input_data.graph_id}v{input_data.graph_version} failed: {e}, execution is stopped."
             )
             raise
 
@@ -134,7 +131,6 @@ class AgentExecutorBlock(Block):
 
         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,
@@ -166,14 +162,6 @@ class AgentExecutorBlock(Block):
                 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
@@ -193,7 +181,7 @@ class AgentExecutorBlock(Block):
                 )
                 yield output_name, output_data
 
-    @func_retry
+    @retry.func_retry
     async def _stop(
         self,
         graph_exec_id: str,
@@ -209,8 +197,7 @@ class AgentExecutorBlock(Block):
             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}")
+        except Exception as e:
+            logger.error(f"Failed to stop execution {log_id}: {e}")

autogpt_platform/backend/backend/blocks/ai_condition.py

@@ -1,219 +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,
-    BlockSchemaInput,
-    BlockSchemaOutput,
-)
-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(BlockSchemaInput):
-        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(BlockSchemaOutput):
-        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

@@ -1,197 +0,0 @@
-import asyncio
-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,
-    BlockSchemaInput,
-    BlockSchemaOutput,
-)
-from backend.data.model import (
-    APIKeyCredentials,
-    CredentialsField,
-    CredentialsMetaInput,
-    SchemaField,
-)
-from backend.integrations.providers import ProviderName
-from backend.util.file import MediaFileType, store_media_file
-
-
-class GeminiImageModel(str, Enum):
-    NANO_BANANA = "google/nano-banana"
-    NANO_BANANA_PRO = "google/nano-banana-pro"
-
-
-class AspectRatio(str, Enum):
-    MATCH_INPUT_IMAGE = "match_input_image"
-    ASPECT_1_1 = "1:1"
-    ASPECT_2_3 = "2:3"
-    ASPECT_3_2 = "3:2"
-    ASPECT_3_4 = "3:4"
-    ASPECT_4_3 = "4:3"
-    ASPECT_4_5 = "4:5"
-    ASPECT_5_4 = "5:4"
-    ASPECT_9_16 = "9:16"
-    ASPECT_16_9 = "16:9"
-    ASPECT_21_9 = "21:9"
-
-
-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(BlockSchemaInput):
-        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",
-        )
-        aspect_ratio: AspectRatio = SchemaField(
-            description="Aspect ratio of the generated image",
-            default=AspectRatio.MATCH_INPUT_IMAGE,
-            title="Aspect Ratio",
-        )
-        output_format: OutputFormat = SchemaField(
-            description="Format of the output image",
-            default=OutputFormat.PNG,
-            title="Output Format",
-        )
-
-    class Output(BlockSchemaOutput):
-        image_url: MediaFileType = SchemaField(description="URL of the generated image")
-
-    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": [],
-                "aspect_ratio": AspectRatio.MATCH_INPUT_IMAGE,
-                "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:
-            # Convert local file paths to Data URIs (base64) so Replicate can access them
-            processed_images = await asyncio.gather(
-                *(
-                    store_media_file(
-                        graph_exec_id=graph_exec_id,
-                        file=img,
-                        user_id=user_id,
-                        return_content=True,
-                    )
-                    for img in input_data.images
-                )
-            )
-
-            result = await self.run_model(
-                api_key=credentials.api_key,
-                model_name=input_data.model.value,
-                prompt=input_data.prompt,
-                images=processed_images,
-                aspect_ratio=input_data.aspect_ratio.value,
-                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],
-        aspect_ratio: str,
-        output_format: str,
-    ) -> MediaFileType:
-        client = ReplicateClient(api_token=api_key.get_secret_value())
-
-        input_params: dict = {
-            "prompt": prompt,
-            "aspect_ratio": aspect_ratio,
-            "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")