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2 Commits

Author SHA1 Message Date
Toran Bruce Richards
8ce231f670 Merge branch 'master' into toran/open-1475-add-webscraper-block 2024-07-14 19:43:28 +01:00
Toran Bruce Richards
e0387bd857 feat(blocks): Add web scraper block to autogpt_server
- Import the web_scraper module in __init__.py
- Create a new file web_scraper.py with the WebScraper block
- Implement the run method to scrape content from a given URL
- Handle HTTP errors and exceptions in the run method
2024-07-14 01:49:59 +01:00
4482 changed files with 216465 additions and 478323 deletions

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

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@@ -1,64 +1,27 @@
# Ignore everything by default, selectively add things to context
*
# Platform - Libs
!autogpt_platform/autogpt_libs/autogpt_libs/
!autogpt_platform/autogpt_libs/pyproject.toml
!autogpt_platform/autogpt_libs/poetry.lock
!autogpt_platform/autogpt_libs/README.md
# AutoGPT
!autogpt/autogpt/
!autogpt/pyproject.toml
!autogpt/poetry.lock
!autogpt/README.md
!autogpt/tests/
# Platform - Backend
!autogpt_platform/backend/backend/
!autogpt_platform/backend/test/e2e_test_data.py
!autogpt_platform/backend/migrations/
!autogpt_platform/backend/schema.prisma
!autogpt_platform/backend/pyproject.toml
!autogpt_platform/backend/poetry.lock
!autogpt_platform/backend/README.md
!autogpt_platform/backend/.env
# Benchmark
!benchmark/agbenchmark/
!benchmark/pyproject.toml
!benchmark/poetry.lock
!benchmark/README.md
# Platform - Market
!autogpt_platform/market/market/
!autogpt_platform/market/scripts.py
!autogpt_platform/market/schema.prisma
!autogpt_platform/market/pyproject.toml
!autogpt_platform/market/poetry.lock
!autogpt_platform/market/README.md
# Forge
!forge/forge/
!forge/pyproject.toml
!forge/poetry.lock
!forge/README.md
# Platform - Frontend
!autogpt_platform/frontend/src/
!autogpt_platform/frontend/public/
!autogpt_platform/frontend/scripts/
!autogpt_platform/frontend/package.json
!autogpt_platform/frontend/pnpm-lock.yaml
!autogpt_platform/frontend/tsconfig.json
!autogpt_platform/frontend/README.md
## config
!autogpt_platform/frontend/*.config.*
!autogpt_platform/frontend/.env.*
!autogpt_platform/frontend/.env
# Classic - AutoGPT
!classic/original_autogpt/autogpt/
!classic/original_autogpt/pyproject.toml
!classic/original_autogpt/poetry.lock
!classic/original_autogpt/README.md
!classic/original_autogpt/tests/
# Classic - Benchmark
!classic/benchmark/agbenchmark/
!classic/benchmark/pyproject.toml
!classic/benchmark/poetry.lock
!classic/benchmark/README.md
# Classic - Forge
!classic/forge/
!classic/forge/pyproject.toml
!classic/forge/poetry.lock
!classic/forge/README.md
# Classic - Frontend
!classic/frontend/build/web/
# Frontend
!frontend/build/web/
# Explicitly re-ignore some folders
.*

6
.gitattributes vendored
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@@ -1,10 +1,8 @@
classic/frontend/build/** linguist-generated
frontend/build/** linguist-generated
**/poetry.lock linguist-generated
docs/_javascript/** linguist-vendored
# Exclude VCR cassettes from stats
classic/forge/tests/vcr_cassettes/**/**.y*ml linguist-generated
* text=auto
forge/tests/vcr_cassettes/**/**.y*ml linguist-generated

12
.github/CODEOWNERS vendored
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@@ -1,7 +1,5 @@
* @Significant-Gravitas/maintainers
.github/workflows/ @Significant-Gravitas/devops
classic/forge/ @Significant-Gravitas/forge-maintainers
classic/benchmark/ @Significant-Gravitas/benchmark-maintainers
classic/frontend/ @Significant-Gravitas/frontend-maintainers
autogpt_platform/infra @Significant-Gravitas/devops
.github/CODEOWNERS @Significant-Gravitas/admins
.github/workflows/ @Significant-Gravitas/devops
autogpt/ @Significant-Gravitas/maintainers
forge/ @Significant-Gravitas/forge-maintainers
benchmark/ @Significant-Gravitas/benchmark-maintainers
frontend/ @Significant-Gravitas/frontend-maintainers

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@@ -88,16 +88,14 @@ body:
- type: dropdown
attributes:
label: What LLM Provider do you use?
label: Do you use OpenAI GPT-3 or GPT-4?
description: >
If you are using AutoGPT with `SMART_LLM=gpt-3.5-turbo`, your problems may be caused by
the [limitations](https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue+label%3A%22AI+model+limitation%22) of GPT-3.5.
options:
- Azure
- Groq
- Anthropic
- Llamafile
- Other (detail in issue)
- GPT-3.5
- GPT-4
- GPT-4(32k)
validations:
required: true
@@ -128,13 +126,6 @@ body:
label: Specify the area
description: Please specify the area you think is best related to the issue.
- type: input
attributes:
label: What commit or version are you using?
description: It is helpful for us to reproduce to know what version of the software you were using when this happened. Please run `git log -n 1 --pretty=format:"%H"` to output the full commit hash.
validations:
required: true
- type: textarea
attributes:
label: Describe your issue.

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@@ -1,39 +1,31 @@
### Background
<!-- Clearly explain the need for these changes: -->
### Changes 🏗️
<!-- Concisely describe all of the changes made in this pull request: -->
### Checklist 📋
### PR Quality Scorecard ✨
#### For code changes:
- [ ] I have clearly listed my changes in the PR description
- [ ] I have made a test plan
- [ ] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [ ] ...
<!--
Check out our contribution guide:
https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
<details>
<summary>Example test plan</summary>
- [ ] Create from scratch and execute an agent with at least 3 blocks
- [ ] Import an agent from file upload, and confirm it executes correctly
- [ ] Upload agent to marketplace
- [ ] Import an agent from marketplace and confirm it executes correctly
- [ ] Edit an agent from monitor, and confirm it executes correctly
</details>
1. Avoid duplicate work, issues, PRs etc.
2. Also consider contributing something other than code; see the [contribution guide]
for options.
3. Clearly explain your changes.
4. Avoid making unnecessary changes, especially if they're purely based on personal
preferences. Doing so is the maintainers' job. ;-)
-->
#### For configuration changes:
- [ ] `.env.default` is updated or already compatible with my changes
- [ ] `docker-compose.yml` is updated or already compatible with my changes
- [ ] I have included a list of my configuration changes in the PR description (under **Changes**)
<details>
<summary>Examples of configuration changes</summary>
- Changing ports
- Adding new services that need to communicate with each other
- Secrets or environment variable changes
- New or infrastructure changes such as databases
</details>
- [x] Have you used the PR description template? &ensp; `+2 pts`
- [ ] Is your pull request atomic, focusing on a single change? &ensp; `+5 pts`
- [ ] Have you linked the GitHub issue(s) that this PR addresses? &ensp; `+5 pts`
- [ ] Have you documented your changes clearly and comprehensively? &ensp; `+5 pts`
- [ ] Have you changed or added a feature? &ensp; `-4 pts`
- [ ] Have you added/updated corresponding documentation? &ensp; `+4 pts`
- [ ] Have you added/updated corresponding integration tests? &ensp; `+5 pts`
- [ ] Have you changed the behavior of AutoGPT? &ensp; `-5 pts`
- [ ] Have you also run `agbenchmark` to verify that these changes do not regress performance? &ensp; `+10 pts`

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

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

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@@ -1,33 +1,19 @@
Classic AutoGPT Agent:
AutoGPT Agent:
- changed-files:
- any-glob-to-any-file: classic/original_autogpt/**
Classic Benchmark:
- changed-files:
- any-glob-to-any-file: classic/benchmark/**
Classic Frontend:
- changed-files:
- any-glob-to-any-file: classic/frontend/**
- any-glob-to-any-file: autogpt/**
Forge:
- changed-files:
- any-glob-to-any-file: classic/forge/**
- any-glob-to-any-file: forge/**
Benchmark:
- changed-files:
- any-glob-to-any-file: benchmark/**
Frontend:
- changed-files:
- any-glob-to-any-file: frontend/**
documentation:
- changed-files:
- any-glob-to-any-file: docs/**
platform/frontend:
- changed-files:
- any-glob-to-any-file: autogpt_platform/frontend/**
platform/backend:
- changed-files:
- all-globs-to-any-file:
- autogpt_platform/backend/**
- '!autogpt_platform/backend/backend/blocks/**'
platform/blocks:
- changed-files:
- any-glob-to-any-file: autogpt_platform/backend/backend/blocks/**

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@@ -0,0 +1,36 @@
name: AutoGPT Builder CI
on:
push:
branches: [ master ]
paths:
- '.github/workflows/autogpt-builder-ci.yml'
- 'rnd/autogpt_builder/**'
pull_request:
paths:
- '.github/workflows/autogpt-builder-ci.yml'
- 'rnd/autogpt_builder/**'
defaults:
run:
shell: bash
working-directory: rnd/autogpt_builder
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '21'
- name: Install dependencies
run: |
npm install
- name: Run lint
run: |
npm run lint

138
.github/workflows/autogpt-ci.yml vendored Normal file
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@@ -0,0 +1,138 @@
name: AutoGPT CI
on:
push:
branches: [ master, development, ci-test* ]
paths:
- '.github/workflows/autogpt-ci.yml'
- 'autogpt/**'
pull_request:
branches: [ master, development, release-* ]
paths:
- '.github/workflows/autogpt-ci.yml'
- 'autogpt/**'
concurrency:
group: ${{ format('autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: autogpt
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Configure git user Auto-GPT-Bot
run: |
git config --global user.name "Auto-GPT-Bot"
git config --global user.email "github-bot@agpt.co"
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
--numprocesses=logical --durations=10 \
tests/unit tests/integration
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v4
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: autogpt-agent,${{ runner.os }}
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: autogpt/logs/

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@@ -0,0 +1,59 @@
name: Purge Auto-GPT Docker CI cache
on:
schedule:
- cron: 20 4 * * 1,4
env:
BASE_BRANCH: development
IMAGE_NAME: auto-gpt
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
build-type: [release, dev]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- id: build
name: Build image
uses: docker/build-push-action@v5
with:
file: Dockerfile.autogpt
build-args: BUILD_TYPE=${{ matrix.build-type }}
load: true # save to docker images
# use GHA cache as read-only
cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
- name: Generate build report
env:
event_name: ${{ github.event_name }}
event_ref: ${{ github.event.schedule }}
build_type: ${{ matrix.build-type }}
prod_branch: master
dev_branch: development
repository: ${{ github.repository }}
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || 'master' }}
current_ref: ${{ github.ref_name }}
commit_hash: ${{ github.sha }}
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.sha) }}
push_forced_label:
new_commits_json: ${{ null }}
compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
github_context_json: ${{ toJSON(github) }}
job_env_json: ${{ toJSON(env) }}
vars_json: ${{ toJSON(vars) }}
run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
continue-on-error: true

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name: AutoGPT Docker CI
on:
push:
branches: [ master, development ]
paths:
- '.github/workflows/autogpt-docker-ci.yml'
- 'autogpt/**'
pull_request:
branches: [ master, development, release-* ]
paths:
- '.github/workflows/autogpt-docker-ci.yml'
- 'autogpt/**'
concurrency:
group: ${{ format('autogpt-docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
defaults:
run:
working-directory: autogpt
env:
IMAGE_NAME: auto-gpt
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER && format('{0}/', secrets.DOCKER_USER) || '' }}auto-gpt
DEV_IMAGE_TAG: latest-dev
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
build-type: [release, dev]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- if: runner.debug
run: |
ls -al
du -hs *
- id: build
name: Build image
uses: docker/build-push-action@v5
with:
file: Dockerfile.autogpt
build-args: BUILD_TYPE=${{ matrix.build-type }}
tags: ${{ env.IMAGE_NAME }}
labels: GIT_REVISION=${{ github.sha }}
load: true # save to docker images
# cache layers in GitHub Actions cache to speed up builds
cache-from: type=gha,scope=autogpt-docker-${{ matrix.build-type }}
cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
- name: Generate build report
env:
event_name: ${{ github.event_name }}
event_ref: ${{ github.event.ref }}
event_ref_type: ${{ github.event.ref}}
build_type: ${{ matrix.build-type }}
prod_branch: master
dev_branch: development
repository: ${{ github.repository }}
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || 'master' }}
current_ref: ${{ github.ref_name }}
commit_hash: ${{ github.event.after }}
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
push_forced_label: ${{ github.event.forced && '☢️ forced' || '' }}
new_commits_json: ${{ toJSON(github.event.commits) }}
compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
github_context_json: ${{ toJSON(github) }}
job_env_json: ${{ toJSON(env) }}
vars_json: ${{ toJSON(vars) }}
run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
continue-on-error: true
test:
runs-on: ubuntu-latest
timeout-minutes: 10
services:
minio:
image: minio/minio:edge-cicd
options: >
--name=minio
--health-interval=10s --health-timeout=5s --health-retries=3
--health-cmd="curl -f http://localhost:9000/minio/health/live"
steps:
- name: Check out repository
uses: actions/checkout@v4
with:
submodules: true
- if: github.event_name == 'push'
name: Log in to Docker hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USER }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- id: build
name: Build image
uses: docker/build-push-action@v5
with:
file: Dockerfile.autogpt
build-args: BUILD_TYPE=dev # include pytest
tags: >
${{ env.IMAGE_NAME }},
${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}
labels: GIT_REVISION=${{ github.sha }}
load: true # save to docker images
# cache layers in GitHub Actions cache to speed up builds
cache-from: type=gha,scope=autogpt-docker-dev
cache-to: type=gha,scope=autogpt-docker-dev,mode=max
- id: test
name: Run tests
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: http://minio:9000
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
run: |
set +e
docker run --env CI --env OPENAI_API_KEY \
--network container:minio \
--env S3_ENDPOINT_URL --env AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY \
--entrypoint poetry ${{ env.IMAGE_NAME }} run \
pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
--numprocesses=4 --durations=10 \
tests/unit tests/integration 2>&1 | tee test_output.txt
test_failure=${PIPESTATUS[0]}
cat << $EOF >> $GITHUB_STEP_SUMMARY
# Tests $([ $test_failure = 0 ] && echo '✅' || echo '❌')
\`\`\`
$(cat test_output.txt)
\`\`\`
$EOF
exit $test_failure
- if: github.event_name == 'push' && github.ref_name == 'master'
name: Push image to Docker Hub
run: docker push ${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}

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@@ -0,0 +1,86 @@
name: AutoGPT Docker Release
on:
release:
types: [ published, edited ]
workflow_dispatch:
inputs:
no_cache:
type: boolean
description: 'Build from scratch, without using cached layers'
env:
IMAGE_NAME: auto-gpt
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
jobs:
build:
if: startsWith(github.ref, 'refs/tags/autogpt-')
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Log in to Docker hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USER }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# slashes are not allowed in image tags, but can appear in git branch or tag names
- id: sanitize_tag
name: Sanitize image tag
run: |
tag=${raw_tag//\//-}
echo tag=${tag#autogpt-} >> $GITHUB_OUTPUT
env:
raw_tag: ${{ github.ref_name }}
- id: build
name: Build image
uses: docker/build-push-action@v5
with:
file: Dockerfile.autogpt
build-args: BUILD_TYPE=release
load: true # save to docker images
# push: true # TODO: uncomment when this issue is fixed: https://github.com/moby/buildkit/issues/1555
tags: >
${{ env.IMAGE_NAME }},
${{ env.DEPLOY_IMAGE_NAME }}:latest,
${{ env.DEPLOY_IMAGE_NAME }}:${{ steps.sanitize_tag.outputs.tag }}
labels: GIT_REVISION=${{ github.sha }}
# cache layers in GitHub Actions cache to speed up builds
cache-from: ${{ !inputs.no_cache && 'type=gha' || '' }},scope=autogpt-docker-release
cache-to: type=gha,scope=autogpt-docker-release,mode=max
- name: Push image to Docker Hub
run: docker push --all-tags ${{ env.DEPLOY_IMAGE_NAME }}
- name: Generate build report
env:
event_name: ${{ github.event_name }}
event_ref: ${{ github.event.ref }}
event_ref_type: ${{ github.event.ref}}
inputs_no_cache: ${{ inputs.no_cache }}
prod_branch: master
dev_branch: development
repository: ${{ github.repository }}
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || 'master' }}
ref_type: ${{ github.ref_type }}
current_ref: ${{ github.ref_name }}
commit_hash: ${{ github.sha }}
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
github_context_json: ${{ toJSON(github) }}
job_env_json: ${{ toJSON(env) }}
vars_json: ${{ toJSON(vars) }}
run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
continue-on-error: true

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name: AutoGPT Server CI
on:
push:
branches: [master, development, ci-test*]
paths:
- ".github/workflows/autogpt-server-ci.yml"
- "rnd/autogpt_server/**"
pull_request:
branches: [master, development, release-*]
paths:
- ".github/workflows/autogpt-server-ci.yml"
- "rnd/autogpt_server/**"
concurrency:
group: ${{ format('autogpt-server-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: rnd/autogpt_server
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: "."
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('rnd/autogpt_server/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Generate Prisma Client
run: poetry run prisma generate
- name: Run Database Migrations
run: poetry run prisma migrate dev --name updates
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
test
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
# - name: Upload coverage reports to Codecov
# uses: codecov/codecov-action@v4
# with:
# token: ${{ secrets.CODECOV_TOKEN }}
# flags: autogpt-server,${{ runner.os }}
build:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('rnd/autogpt_server/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Generate Prisma Client
run: poetry run prisma generate
- name: Run Database Migrations
run: poetry run prisma migrate dev --name updates
- name: install rpm
if: matrix.platform-os == 'ubuntu'
run: sudo apt-get install -y alien fakeroot rpm
- name: Build distribution
run: |
case "${{ matrix.platform-os }}" in
"macos" | "macos-arm64")
${MAC_COMMAND}
;;
"windows")
${WINDOWS_COMMAND}
;;
*)
${LINUX_COMMAND}
;;
esac
env:
MAC_COMMAND: "poetry run poe dist_dmg"
WINDOWS_COMMAND: "poetry run poe dist_msi"
LINUX_COMMAND: "poetry run poe dist_appimage"
- name: Zip the .app directory
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
zip -r autogptserver-app-${{ matrix.platform-os }}.app.zip /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.app
# break this into seperate steps each with their own name that matches the file
- name: Upload App artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-app-${{ matrix.platform-os }}
path: /Users/runner/work/_temp/autogptserver-app-${{ matrix.platform-os }}.app.zip
- name: Upload dmg artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-dmg-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/AutoGPTServer.dmg
- name: Upload msi artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-msi-${{ matrix.platform-os }}
path: D:\a\AutoGPT\AutoGPT\rnd\autogpt_server\dist\*.msi
- name: Upload deb artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-deb-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.deb
- name: Upload rpm artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-rpm-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.rpm
- name: Upload tar.gz artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-tar.gz-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.tar.gz
- name: Upload zip artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-zip-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.zip
- name: Upload pkg artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-pkg-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.pkg
- name: Upload AppImage artifact
uses: actions/upload-artifact@v4
with:
name: autogptserver-AppImage-${{ matrix.platform-os }}
path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/dist/*.AppImage

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name: AutoGPTs Nightly Benchmark
on:
workflow_dispatch:
schedule:
- cron: '0 2 * * *'
jobs:
benchmark:
permissions:
contents: write
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [ autogpt ]
fail-fast: false
timeout-minutes: 120
env:
min-python-version: '3.10'
REPORTS_BRANCH: data/benchmark-reports
REPORTS_FOLDER: ${{ format('benchmark/reports/{0}', matrix.agent-name) }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python -
- name: Prepare reports folder
run: mkdir -p ${{ env.REPORTS_FOLDER }}
- run: poetry -C benchmark install
- name: Benchmark ${{ matrix.agent-name }}
run: |
./run agent start ${{ matrix.agent-name }}
cd ${{ matrix.agent-name }}
set +e # Do not quit on non-zero exit codes
poetry run agbenchmark run -N 3 \
--test=ReadFile \
--test=BasicRetrieval --test=RevenueRetrieval2 \
--test=CombineCsv --test=LabelCsv --test=AnswerQuestionCombineCsv \
--test=UrlShortener --test=TicTacToe --test=Battleship \
--test=WebArenaTask_0 --test=WebArenaTask_21 --test=WebArenaTask_124 \
--test=WebArenaTask_134 --test=WebArenaTask_163
# Convert exit code 1 (some challenges failed) to exit code 0
if [ $? -eq 0 ] || [ $? -eq 1 ]; then
exit 0
else
exit $?
fi
env:
AGENT_NAME: ${{ matrix.agent-name }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
REPORTS_FOLDER: ${{ format('../../{0}', env.REPORTS_FOLDER) }} # account for changed workdir
TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}
- name: Push reports to data branch
run: |
# BODGE: Remove success_rate.json and regression_tests.json to avoid conflicts on checkout
rm ${{ env.REPORTS_FOLDER }}/*.json
# Find folder with newest (untracked) report in it
report_subfolder=$(find ${{ env.REPORTS_FOLDER }} -type f -name 'report.json' \
| xargs -I {} dirname {} \
| xargs -I {} git ls-files --others --exclude-standard {} \
| xargs -I {} dirname {} \
| sort -u)
json_report_file="$report_subfolder/report.json"
# Convert JSON report to Markdown
markdown_report_file="$report_subfolder/report.md"
poetry -C benchmark run benchmark/reports/format.py "$json_report_file" > "$markdown_report_file"
cat "$markdown_report_file" >> $GITHUB_STEP_SUMMARY
git config --global user.name 'GitHub Actions'
git config --global user.email 'github-actions@agpt.co'
git fetch origin ${{ env.REPORTS_BRANCH }}:${{ env.REPORTS_BRANCH }} \
&& git checkout ${{ env.REPORTS_BRANCH }} \
|| git checkout --orphan ${{ env.REPORTS_BRANCH }}
git reset --hard
git add ${{ env.REPORTS_FOLDER }}
git commit -m "Benchmark report for ${{ matrix.agent-name }} @ $(date +'%Y-%m-%d')" \
&& git push origin ${{ env.REPORTS_BRANCH }}

71
.github/workflows/autogpts-ci.yml vendored Normal file
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name: Agent smoke tests
on:
workflow_dispatch:
schedule:
- cron: '0 8 * * *'
push:
branches: [ master, development, ci-test* ]
paths:
- '.github/workflows/autogpts-ci.yml'
- 'autogpt/**'
- 'forge/**'
- 'benchmark/**'
- 'run'
- 'cli.py'
- 'setup.py'
- '!**/*.md'
pull_request:
branches: [ master, development, release-* ]
paths:
- '.github/workflows/autogpts-ci.yml'
- 'autogpt/**'
- 'forge/**'
- 'benchmark/**'
- 'run'
- 'cli.py'
- 'setup.py'
- '!**/*.md'
jobs:
serve-agent-protocol:
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [ autogpt ]
fail-fast: false
timeout-minutes: 20
env:
min-python-version: '3.10'
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
working-directory: ./${{ matrix.agent-name }}/
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Run regression tests
run: |
./run agent start ${{ matrix.agent-name }}
cd ${{ matrix.agent-name }}
poetry run agbenchmark --mock --test=BasicRetrieval --test=Battleship --test=WebArenaTask_0
poetry run agbenchmark --test=WriteFile
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
AGENT_NAME: ${{ matrix.agent-name }}
REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
HELICONE_CACHE_ENABLED: false
HELICONE_PROPERTY_AGENT: ${{ matrix.agent-name }}
REPORTS_FOLDER: ${{ format('../../reports/{0}', matrix.agent-name) }}
TELEMETRY_ENVIRONMENT: autogpt-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

169
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name: AGBenchmark CI
on:
push:
branches: [ master, development, ci-test* ]
paths:
- 'benchmark/**'
- .github/workflows/benchmark-ci.yml
- '!benchmark/reports/**'
pull_request:
branches: [ master, development, release-* ]
paths:
- 'benchmark/**'
- '!benchmark/reports/**'
- .github/workflows/benchmark-ci.yml
concurrency:
group: ${{ format('benchmark-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
env:
min-python-version: '3.10'
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
defaults:
run:
shell: bash
working-directory: benchmark
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('benchmark/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
tests
env:
CI: true
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v4
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: agbenchmark,${{ runner.os }}
self-test-with-agent:
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [ forge ]
fail-fast: false
timeout-minutes: 20
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Run regression tests
working-directory: .
run: |
./run agent start ${{ matrix.agent-name }}
cd ${{ matrix.agent-name }}
set +e # Ignore non-zero exit codes and continue execution
echo "Running the following command: poetry run agbenchmark --maintain --mock"
poetry run agbenchmark --maintain --mock
EXIT_CODE=$?
set -e # Stop ignoring non-zero exit codes
# Check if the exit code was 5, and if so, exit with 0 instead
if [ $EXIT_CODE -eq 5 ]; then
echo "regression_tests.json is empty."
fi
echo "Running the following command: poetry run agbenchmark --mock"
poetry run agbenchmark --mock
echo "Running the following command: poetry run agbenchmark --mock --category=data"
poetry run agbenchmark --mock --category=data
echo "Running the following command: poetry run agbenchmark --mock --category=coding"
poetry run agbenchmark --mock --category=coding
echo "Running the following command: poetry run agbenchmark --test=WriteFile"
poetry run agbenchmark --test=WriteFile
cd ../benchmark
poetry install
echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
export BUILD_SKILL_TREE=true
poetry run agbenchmark --mock
CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../frontend/assets)') || echo "No diffs"
if [ ! -z "$CHANGED" ]; then
echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
echo "$CHANGED"
exit 1
else
echo "No unstaged changes."
fi
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

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

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@@ -1,145 +0,0 @@
name: Classic - AutoGPT CI
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- '.github/workflows/classic-autogpt-ci.yml'
- 'classic/original_autogpt/**'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-autogpt-ci.yml'
- 'classic/original_autogpt/**'
concurrency:
group: ${{ format('classic-autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: classic/original_autogpt
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.12", "3.13", "3.14"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Configure git user Auto-GPT-Bot
run: |
git config --global user.name "Auto-GPT-Bot"
git config --global user.email "github-bot@agpt.co"
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/original_autogpt/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
--numprocesses=logical --durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
tests/unit tests/integration
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
- name: Upload test results to Codecov
if: ${{ !cancelled() }} # Run even if tests fail
uses: codecov/test-results-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: autogpt-agent,${{ runner.os }}
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: classic/original_autogpt/logs/

View File

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

View File

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

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

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@@ -1,75 +0,0 @@
name: Classic - Agent smoke tests
on:
workflow_dispatch:
schedule:
- cron: '0 8 * * *'
push:
branches: [ master, dev, ci-test* ]
paths:
- '.github/workflows/classic-autogpts-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '!**/*.md'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-autogpts-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '!**/*.md'
defaults:
run:
shell: bash
working-directory: classic
jobs:
serve-agent-protocol:
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [ original_autogpt ]
fail-fast: false
timeout-minutes: 20
env:
min-python-version: '3.10'
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
working-directory: ./classic/${{ matrix.agent-name }}/
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Install dependencies
working-directory: ./classic/${{ matrix.agent-name }}/
run: poetry install
- name: Run regression tests
run: |
cd ${{ matrix.agent-name }}
poetry run serve &
sleep 10 # Wait for server to start
poetry run agbenchmark --mock --test=BasicRetrieval --test=Battleship --test=WebArenaTask_0
poetry run agbenchmark --test=WriteFile
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
AGENT_NAME: ${{ matrix.agent-name }}
REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
HELICONE_CACHE_ENABLED: false
HELICONE_PROPERTY_AGENT: ${{ matrix.agent-name }}
REPORTS_FOLDER: ${{ format('../../reports/{0}', matrix.agent-name) }}
TELEMETRY_ENVIRONMENT: autogpt-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

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@@ -1,181 +0,0 @@
name: Classic - AGBenchmark CI
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- 'classic/benchmark/**'
- '!classic/benchmark/reports/**'
- .github/workflows/classic-benchmark-ci.yml
pull_request:
branches: [ master, dev, release-* ]
paths:
- 'classic/benchmark/**'
- '!classic/benchmark/reports/**'
- .github/workflows/classic-benchmark-ci.yml
concurrency:
group: ${{ format('benchmark-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
env:
min-python-version: '3.12'
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.12", "3.13", "3.14"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
defaults:
run:
shell: bash
working-directory: classic/benchmark
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/benchmark/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
tests
env:
CI: true
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
- name: Upload test results to Codecov
if: ${{ !cancelled() }} # Run even if tests fail
uses: codecov/test-results-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: agbenchmark,${{ runner.os }}
self-test-with-agent:
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [forge]
fail-fast: false
timeout-minutes: 20
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Install agent dependencies
working-directory: classic/${{ matrix.agent-name }}
run: poetry install
- name: Run regression tests
working-directory: classic
run: |
cd ${{ matrix.agent-name }}
poetry run python -m forge &
sleep 10 # Wait for server to start
set +e # Ignore non-zero exit codes and continue execution
echo "Running the following command: poetry run agbenchmark --maintain --mock"
poetry run agbenchmark --maintain --mock
EXIT_CODE=$?
set -e # Stop ignoring non-zero exit codes
# Check if the exit code was 5, and if so, exit with 0 instead
if [ $EXIT_CODE -eq 5 ]; then
echo "regression_tests.json is empty."
fi
echo "Running the following command: poetry run agbenchmark --mock"
poetry run agbenchmark --mock
echo "Running the following command: poetry run agbenchmark --mock --category=data"
poetry run agbenchmark --mock --category=data
echo "Running the following command: poetry run agbenchmark --mock --category=coding"
poetry run agbenchmark --mock --category=coding
# echo "Running the following command: poetry run agbenchmark --test=WriteFile"
# poetry run agbenchmark --test=WriteFile
cd ../benchmark
poetry install
echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
export BUILD_SKILL_TREE=true
# poetry run agbenchmark --mock
# CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../classic/frontend/assets)') || echo "No diffs"
# if [ ! -z "$CHANGED" ]; then
# echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
# echo "$CHANGED"
# exit 1
# else
# echo "No unstaged changes."
# fi
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

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

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@@ -1,243 +0,0 @@
name: Classic - Forge CI
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- '!classic/forge/tests/vcr_cassettes'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- '!classic/forge/tests/vcr_cassettes'
concurrency:
group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: classic/forge
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.12", "3.13", "3.14"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Checkout cassettes
if: ${{ startsWith(github.event_name, 'pull_request') }}
env:
PR_BASE: ${{ github.event.pull_request.base.ref }}
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
cassette_base_branch="${PR_BASE}"
cd tests/vcr_cassettes
if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
cassette_base_branch="master"
fi
if git ls-remote --exit-code --heads origin $cassette_branch ; then
git fetch origin $cassette_branch
git fetch origin $cassette_base_branch
git checkout $cassette_branch
# Pick non-conflicting cassette updates from the base branch
git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
echo "Using cassettes from mirror branch '$cassette_branch'," \
"synced to upstream branch '$cassette_base_branch'."
else
git checkout -b $cassette_branch
echo "Branch '$cassette_branch' does not exist in cassette submodule." \
"Using cassettes from '$cassette_base_branch'."
fi
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=forge --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
forge
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
- name: Upload test results to Codecov
if: ${{ !cancelled() }} # Run even if tests fail
uses: codecov/test-results-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: forge,${{ runner.os }}
- id: setup_git_auth
name: Set up git token authentication
# Cassettes may be pushed even when tests fail
if: success() || failure()
run: |
config_key="http.${{ github.server_url }}/.extraheader"
if [ "${{ runner.os }}" = 'macOS' ]; then
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
else
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
fi
git config "$config_key" \
"Authorization: Basic $base64_pat"
cd tests/vcr_cassettes
git config "$config_key" \
"Authorization: Basic $base64_pat"
echo "config_key=$config_key" >> $GITHUB_OUTPUT
- id: push_cassettes
name: Push updated cassettes
# For pull requests, push updated cassettes even when tests fail
if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
env:
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
is_pull_request=true
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
else
cassette_branch="${{ github.ref_name }}"
fi
cd tests/vcr_cassettes
# Commit & push changes to cassettes if any
if ! git diff --quiet; then
git add .
git commit -m "Auto-update cassettes"
git push origin HEAD:$cassette_branch
if [ ! $is_pull_request ]; then
cd ../..
git add tests/vcr_cassettes
git commit -m "Update cassette submodule"
git push origin HEAD:$cassette_branch
fi
echo "updated=true" >> $GITHUB_OUTPUT
else
echo "updated=false" >> $GITHUB_OUTPUT
echo "No cassette changes to commit"
fi
- name: Post Set up git token auth
if: steps.setup_git_auth.outcome == 'success'
run: |
git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
- name: Apply "behaviour change" label and comment on PR
if: ${{ startsWith(github.event_name, 'pull_request') }}
run: |
PR_NUMBER="${{ github.event.pull_request.number }}"
TOKEN="${{ secrets.PAT_REVIEW }}"
REPO="${{ github.repository }}"
if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
echo "Adding label and comment..."
echo $TOKEN | gh auth login --with-token
gh issue edit $PR_NUMBER --add-label "behaviour change"
gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
fi
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: classic/forge/logs/

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@@ -1,151 +0,0 @@
name: Classic - Python checks
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- '.github/workflows/classic-python-checks-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '**.py'
- '!classic/forge/tests/vcr_cassettes'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-python-checks-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '**.py'
- '!classic/forge/tests/vcr_cassettes'
concurrency:
group: ${{ format('classic-python-checks-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
jobs:
get-changed-parts:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- id: changes-in
name: Determine affected subprojects
uses: dorny/paths-filter@v3
with:
filters: |
original_autogpt:
- classic/original_autogpt/autogpt/**
- classic/original_autogpt/tests/**
- classic/original_autogpt/poetry.lock
forge:
- classic/forge/forge/**
- classic/forge/tests/**
- classic/forge/poetry.lock
benchmark:
- classic/benchmark/agbenchmark/**
- classic/benchmark/tests/**
- classic/benchmark/poetry.lock
outputs:
changed-parts: ${{ steps.changes-in.outputs.changes }}
lint:
needs: get-changed-parts
runs-on: ubuntu-latest
env:
min-python-version: "3.12"
strategy:
matrix:
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
fail-fast: false
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Set up Python dependency cache
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
# Install dependencies
- name: Install Python dependencies
run: poetry -C classic/${{ matrix.sub-package }} install
# Lint
- name: Lint (isort)
run: poetry run isort --check .
working-directory: classic/${{ matrix.sub-package }}
- name: Lint (Black)
if: success() || failure()
run: poetry run black --check .
working-directory: classic/${{ matrix.sub-package }}
- name: Lint (Flake8)
if: success() || failure()
run: poetry run flake8 .
working-directory: classic/${{ matrix.sub-package }}
types:
needs: get-changed-parts
runs-on: ubuntu-latest
env:
min-python-version: "3.12"
strategy:
matrix:
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
fail-fast: false
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- name: Set up Python dependency cache
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
# Install dependencies
- name: Install Python dependencies
run: poetry -C classic/${{ matrix.sub-package }} install
# Typecheck
- name: Typecheck
if: success() || failure()
run: poetry run pyright
working-directory: classic/${{ matrix.sub-package }}

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@@ -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:*)'"

View File

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

View File

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

View File

@@ -0,0 +1,34 @@
name: 'Close stale issues'
on:
schedule:
- cron: '30 1 * * *'
workflow_dispatch:
permissions:
issues: write
jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
with:
# operations-per-run: 5000
stale-issue-message: >
This issue has automatically been marked as _stale_ because it has not had
any activity in the last 50 days. You can _unstale_ it by commenting or
removing the label. Otherwise, this issue will be closed in 10 days.
stale-pr-message: >
This pull request has automatically been marked as _stale_ because it has
not had any activity in the last 50 days. You can _unstale_ it by commenting
or removing the label.
close-issue-message: >
This issue was closed automatically because it has been stale for 10 days
with no activity.
days-before-stale: 50
days-before-close: 10
# Do not touch meta issues:
exempt-issue-labels: meta,fridge,project management
# Do not affect pull requests:
days-before-pr-stale: -1
days-before-pr-close: -1

View File

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

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

236
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name: Forge CI
on:
push:
branches: [ master, development, ci-test* ]
paths:
- '.github/workflows/forge-ci.yml'
- 'forge/**'
- '!forge/tests/vcr_cassettes'
pull_request:
branches: [ master, development, release-* ]
paths:
- '.github/workflows/forge-ci.yml'
- 'forge/**'
- '!forge/tests/vcr_cassettes'
concurrency:
group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: forge
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Checkout cassettes
if: ${{ startsWith(github.event_name, 'pull_request') }}
env:
PR_BASE: ${{ github.event.pull_request.base.ref }}
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
cassette_base_branch="${PR_BASE}"
cd tests/vcr_cassettes
if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
cassette_base_branch="master"
fi
if git ls-remote --exit-code --heads origin $cassette_branch ; then
git fetch origin $cassette_branch
git fetch origin $cassette_base_branch
git checkout $cassette_branch
# Pick non-conflicting cassette updates from the base branch
git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
echo "Using cassettes from mirror branch '$cassette_branch'," \
"synced to upstream branch '$cassette_base_branch'."
else
git checkout -b $cassette_branch
echo "Branch '$cassette_branch' does not exist in cassette submodule." \
"Using cassettes from '$cassette_base_branch'."
fi
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('forge/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=forge --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
forge
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v4
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: forge,${{ runner.os }}
- id: setup_git_auth
name: Set up git token authentication
# Cassettes may be pushed even when tests fail
if: success() || failure()
run: |
config_key="http.${{ github.server_url }}/.extraheader"
if [ "${{ runner.os }}" = 'macOS' ]; then
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
else
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
fi
git config "$config_key" \
"Authorization: Basic $base64_pat"
cd tests/vcr_cassettes
git config "$config_key" \
"Authorization: Basic $base64_pat"
echo "config_key=$config_key" >> $GITHUB_OUTPUT
- id: push_cassettes
name: Push updated cassettes
# For pull requests, push updated cassettes even when tests fail
if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
env:
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
is_pull_request=true
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
else
cassette_branch="${{ github.ref_name }}"
fi
cd tests/vcr_cassettes
# Commit & push changes to cassettes if any
if ! git diff --quiet; then
git add .
git commit -m "Auto-update cassettes"
git push origin HEAD:$cassette_branch
if [ ! $is_pull_request ]; then
cd ../..
git add tests/vcr_cassettes
git commit -m "Update cassette submodule"
git push origin HEAD:$cassette_branch
fi
echo "updated=true" >> $GITHUB_OUTPUT
else
echo "updated=false" >> $GITHUB_OUTPUT
echo "No cassette changes to commit"
fi
- name: Post Set up git token auth
if: steps.setup_git_auth.outcome == 'success'
run: |
git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
- name: Apply "behaviour change" label and comment on PR
if: ${{ startsWith(github.event_name, 'pull_request') }}
run: |
PR_NUMBER="${{ github.event.pull_request.number }}"
TOKEN="${{ secrets.PAT_REVIEW }}"
REPO="${{ github.repository }}"
if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
echo "Adding label and comment..."
echo $TOKEN | gh auth login --with-token
gh issue edit $PR_NUMBER --add-label "behaviour change"
gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
fi
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: forge/logs/

60
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name: Frontend CI/CD
on:
push:
branches:
- master
- development
- 'ci-test*' # This will match any branch that starts with "ci-test"
paths:
- 'frontend/**'
- '.github/workflows/frontend-ci.yml'
pull_request:
paths:
- 'frontend/**'
- '.github/workflows/frontend-ci.yml'
jobs:
build:
permissions:
contents: write
pull-requests: write
runs-on: ubuntu-latest
env:
BUILD_BRANCH: ${{ format('frontend-build/{0}', github.ref_name) }}
steps:
- name: Checkout Repo
uses: actions/checkout@v4
- name: Setup Flutter
uses: subosito/flutter-action@v2
with:
flutter-version: '3.13.2'
- name: Build Flutter to Web
run: |
cd frontend
flutter build web --base-href /app/
# - name: Commit and Push to ${{ env.BUILD_BRANCH }}
# if: github.event_name == 'push'
# run: |
# git config --local user.email "action@github.com"
# git config --local user.name "GitHub Action"
# git add frontend/build/web
# git checkout -B ${{ env.BUILD_BRANCH }}
# git commit -m "Update frontend build to ${GITHUB_SHA:0:7}" -a
# git push -f origin ${{ env.BUILD_BRANCH }}
- name: Create PR ${{ env.BUILD_BRANCH }} -> ${{ github.ref_name }}
if: github.event_name == 'push'
uses: peter-evans/create-pull-request@v6
with:
add-paths: frontend/build/web
base: ${{ github.ref_name }}
branch: ${{ env.BUILD_BRANCH }}
delete-branch: true
title: "Update frontend build in `${{ github.ref_name }}`"
body: "This PR updates the frontend build based on commit ${{ github.sha }}."
commit-message: "Update frontend build based on commit ${{ github.sha }}"

133
.github/workflows/hackathon.yml vendored Normal file
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name: Hackathon
on:
workflow_dispatch:
inputs:
agents:
description: "Agents to run (comma-separated)"
required: false
default: "autogpt" # Default agents if none are specified
jobs:
matrix-setup:
runs-on: ubuntu-latest
# Service containers to run with `matrix-setup`
services:
# Label used to access the service container
postgres:
# Docker Hub image
image: postgres
# Provide the password for postgres
env:
POSTGRES_PASSWORD: postgres
# Set health checks to wait until postgres has started
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
ports:
# Maps tcp port 5432 on service container to the host
- 5432:5432
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
env-name: ${{ steps.set-matrix.outputs.env-name }}
steps:
- id: set-matrix
run: |
if [ "${{ github.event_name }}" == "schedule" ]; then
echo "::set-output name=env-name::production"
echo "::set-output name=matrix::[ 'irrelevant']"
elif [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
IFS=',' read -ra matrix_array <<< "${{ github.event.inputs.agents }}"
matrix_string="[ \"$(echo "${matrix_array[@]}" | sed 's/ /", "/g')\" ]"
echo "::set-output name=env-name::production"
echo "::set-output name=matrix::$matrix_string"
else
echo "::set-output name=env-name::testing"
echo "::set-output name=matrix::[ 'irrelevant' ]"
fi
tests:
environment:
name: "${{ needs.matrix-setup.outputs.env-name }}"
needs: matrix-setup
env:
min-python-version: "3.10"
name: "${{ matrix.agent-name }}"
runs-on: ubuntu-latest
services:
# Label used to access the service container
postgres:
# Docker Hub image
image: postgres
# Provide the password for postgres
env:
POSTGRES_PASSWORD: postgres
# Set health checks to wait until postgres has started
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
ports:
# Maps tcp port 5432 on service container to the host
- 5432:5432
timeout-minutes: 50
strategy:
fail-fast: false
matrix:
agent-name: ${{fromJson(needs.matrix-setup.outputs.matrix)}}
steps:
- name: Print Environment Name
run: |
echo "Matrix Setup Environment Name: ${{ needs.matrix-setup.outputs.env-name }}"
- name: Check Docker Container
id: check
run: docker ps
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Install Poetry
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Install Node.js
uses: actions/setup-node@v4
with:
node-version: v18.15
- name: Run benchmark
run: |
link=$(jq -r '.["github_repo_url"]' arena/$AGENT_NAME.json)
branch=$(jq -r '.["branch_to_benchmark"]' arena/$AGENT_NAME.json)
git clone "$link" -b "$branch" "$AGENT_NAME"
cd $AGENT_NAME
cp ./$AGENT_NAME/.env.example ./$AGENT_NAME/.env || echo "file not found"
./run agent start $AGENT_NAME
cd ../benchmark
poetry install
poetry run agbenchmark --no-dep
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SERP_API_KEY: ${{ secrets.SERP_API_KEY }}
SERPAPI_API_KEY: ${{ secrets.SERP_API_KEY }}
WEAVIATE_API_KEY: ${{ secrets.WEAVIATE_API_KEY }}
WEAVIATE_URL: ${{ secrets.WEAVIATE_URL }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
GOOGLE_CUSTOM_SEARCH_ENGINE_ID: ${{ secrets.GOOGLE_CUSTOM_SEARCH_ENGINE_ID }}
AGENT_NAME: ${{ matrix.agent-name }}

View File

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

View File

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

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

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

View File

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

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

66
.github/workflows/pr-label.yml vendored Normal file
View File

@@ -0,0 +1,66 @@
name: "Pull Request auto-label"
on:
# So that PRs touching the same files as the push are updated
push:
branches: [ master, development, release-* ]
paths-ignore:
- 'forge/tests/vcr_cassettes'
- 'benchmark/reports/**'
# So that the `dirtyLabel` is removed if conflicts are resolve
# We recommend `pull_request_target` so that github secrets are available.
# In `pull_request` we wouldn't be able to change labels of fork PRs
pull_request_target:
types: [ opened, synchronize ]
concurrency:
group: ${{ format('pr-label-{0}', github.event.pull_request.number || github.sha) }}
cancel-in-progress: true
jobs:
conflicts:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- name: Update PRs with conflict labels
uses: eps1lon/actions-label-merge-conflict@releases/2.x
with:
dirtyLabel: "conflicts"
#removeOnDirtyLabel: "PR: ready to ship"
repoToken: "${{ secrets.GITHUB_TOKEN }}"
commentOnDirty: "This pull request has conflicts with the base branch, please resolve those so we can evaluate the pull request."
commentOnClean: "Conflicts have been resolved! 🎉 A maintainer will review the pull request shortly."
size:
if: ${{ github.event_name == 'pull_request_target' }}
permissions:
issues: write
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: codelytv/pr-size-labeler@v1
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
xs_label: 'size/xs'
xs_max_size: 2
s_label: 'size/s'
s_max_size: 10
m_label: 'size/m'
m_max_size: 100
l_label: 'size/l'
l_max_size: 500
xl_label: 'size/xl'
message_if_xl:
scope:
if: ${{ github.event_name == 'pull_request_target' }}
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: actions/labeler@v5
with:
sync-labels: true

151
.github/workflows/python-checks.yml vendored Normal file
View File

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

View File

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

View File

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

View File

@@ -1,66 +0,0 @@
name: Repo - Pull Request auto-label
on:
# So that PRs touching the same files as the push are updated
push:
branches: [ master, dev, release-* ]
paths-ignore:
- 'classic/forge/tests/vcr_cassettes'
- 'classic/benchmark/reports/**'
# So that the `dirtyLabel` is removed if conflicts are resolve
# We recommend `pull_request_target` so that github secrets are available.
# In `pull_request` we wouldn't be able to change labels of fork PRs
pull_request_target:
types: [ opened, synchronize ]
concurrency:
group: ${{ format('pr-label-{0}', github.event.pull_request.number || github.sha) }}
cancel-in-progress: true
jobs:
conflicts:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- name: Update PRs with conflict labels
uses: eps1lon/actions-label-merge-conflict@releases/2.x
with:
dirtyLabel: "conflicts"
#removeOnDirtyLabel: "PR: ready to ship"
repoToken: "${{ secrets.GITHUB_TOKEN }}"
commentOnDirty: "This pull request has conflicts with the base branch, please resolve those so we can evaluate the pull request."
commentOnClean: "Conflicts have been resolved! 🎉 A maintainer will review the pull request shortly."
size:
if: ${{ github.event_name == 'pull_request_target' }}
permissions:
issues: write
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: codelytv/pr-size-labeler@v1
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
xs_label: 'size/xs'
xs_max_size: 2
s_label: 'size/s'
s_max_size: 10
m_label: 'size/m'
m_max_size: 100
l_label: 'size/l'
l_max_size: 500
xl_label: 'size/xl'
message_if_xl:
scope:
if: ${{ github.event_name == 'pull_request_target' }}
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: actions/labeler@v6
with:
sync-labels: true

View File

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

View File

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

View File

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

View File

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

21
.gitignore vendored
View File

@@ -1,13 +1,10 @@
## Original ignores
.github_access_token
classic/original_autogpt/keys.py
classic/original_autogpt/*.json
autogpt/keys.py
autogpt/*.json
auto_gpt_workspace/*
.autogpt/
*.mpeg
.env
# Root .env files
/.env
azure.yaml
.vscode
.idea/*
@@ -124,6 +121,7 @@ celerybeat.pid
# Environments
.direnv/
.env
.venv
env/
venv*/
@@ -159,7 +157,7 @@ openai/
CURRENT_BULLETIN.md
# AgBenchmark
classic/benchmark/agbenchmark/reports/
agbenchmark/reports/
# Nodejs
package-lock.json
@@ -167,16 +165,9 @@ package-lock.json
# Allow for locally private items
# private
pri*
pri*
# ignore
ig*
.github_access_token
LICENSE.rtf
autogpt_platform/backend/settings.py
/.auth
/autogpt_platform/frontend/.auth
*.ign.*
.test-contents
**/.claude/settings.local.json
/autogpt_platform/backend/logs
rnd/autogpt_server/settings.py

4
.gitmodules vendored
View File

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

View File

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

View File

@@ -10,142 +10,39 @@ repos:
- id: check-symlinks
- id: debug-statements
- repo: https://github.com/Yelp/detect-secrets
rev: v1.5.0
hooks:
- id: detect-secrets
name: Detect secrets
description: Detects high entropy strings that are likely to be passwords.
files: ^autogpt_platform/
stages: [pre-push]
- repo: local
# For proper type checking, all dependencies need to be up-to-date.
# It's also a good idea to check that poetry.lock is consistent with pyproject.toml.
hooks:
- id: poetry-install
name: Check & Install dependencies - AutoGPT Platform - Backend
alias: poetry-install-platform-backend
entry: poetry -C autogpt_platform/backend install
# include autogpt_libs source (since it's a path dependency)
files: ^autogpt_platform/(backend|autogpt_libs)/poetry\.lock$
types: [file]
language: system
pass_filenames: false
- id: poetry-install
name: Check & Install dependencies - AutoGPT Platform - Libs
alias: poetry-install-platform-libs
entry: poetry -C autogpt_platform/autogpt_libs install
files: ^autogpt_platform/autogpt_libs/poetry\.lock$
types: [file]
language: system
pass_filenames: false
- id: poetry-install
name: Check & Install dependencies - Classic - AutoGPT
alias: poetry-install-classic-autogpt
entry: poetry -C classic/original_autogpt install
# include forge source (since it's a path dependency)
files: ^classic/(original_autogpt|forge)/poetry\.lock$
types: [file]
language: system
pass_filenames: false
- id: poetry-install
name: Check & Install dependencies - Classic - Forge
alias: poetry-install-classic-forge
entry: poetry -C classic/forge install
files: ^classic/forge/poetry\.lock$
types: [file]
language: system
pass_filenames: false
- id: poetry-install
name: Check & Install dependencies - Classic - Benchmark
alias: poetry-install-classic-benchmark
entry: poetry -C classic/benchmark install
files: ^classic/benchmark/poetry\.lock$
types: [file]
language: system
pass_filenames: false
- repo: local
# For proper type checking, Prisma client must be up-to-date.
hooks:
- id: prisma-generate
name: Prisma Generate - AutoGPT Platform - Backend
alias: prisma-generate-platform-backend
entry: bash -c 'cd autogpt_platform/backend && poetry run prisma generate'
# include everything that triggers poetry install + the prisma schema
files: ^autogpt_platform/((backend|autogpt_libs)/poetry\.lock|backend/schema.prisma)$
types: [file]
language: system
pass_filenames: false
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.7.2
hooks:
- id: ruff
name: Lint (Ruff) - AutoGPT Platform - Backend
alias: ruff-lint-platform-backend
files: ^autogpt_platform/backend/
args: [--fix]
- id: ruff
name: Lint (Ruff) - AutoGPT Platform - Libs
alias: ruff-lint-platform-libs
files: ^autogpt_platform/autogpt_libs/
args: [--fix]
- id: ruff-format
name: Format (Ruff) - AutoGPT Platform - Libs
alias: ruff-lint-platform-libs
files: ^autogpt_platform/autogpt_libs/
- repo: local
# isort needs the context of which packages are installed to function, so we
# can't use a vendored isort pre-commit hook (which runs in its own isolated venv).
hooks:
- id: isort
name: Lint (isort) - AutoGPT Platform - Backend
alias: isort-platform-backend
entry: poetry -P autogpt_platform/backend run isort -p backend
files: ^autogpt_platform/backend/
- id: isort-autogpt
name: Lint (isort) - AutoGPT
entry: poetry -C autogpt run isort
files: ^autogpt/
types: [file, python]
language: system
- id: isort
name: Lint (isort) - Classic - AutoGPT
alias: isort-classic-autogpt
entry: poetry -P classic/original_autogpt run isort -p autogpt
files: ^classic/original_autogpt/
- id: isort-forge
name: Lint (isort) - Forge
entry: poetry -C forge run isort
files: ^forge/
types: [file, python]
language: system
- id: isort
name: Lint (isort) - Classic - Forge
alias: isort-classic-forge
entry: poetry -P classic/forge run isort -p forge
files: ^classic/forge/
types: [file, python]
language: system
- id: isort
name: Lint (isort) - Classic - Benchmark
alias: isort-classic-benchmark
entry: poetry -P classic/benchmark run isort -p agbenchmark
files: ^classic/benchmark/
- id: isort-benchmark
name: Lint (isort) - Benchmark
entry: poetry -C benchmark run isort
files: ^benchmark/
types: [file, python]
language: system
- repo: https://github.com/psf/black
rev: 24.10.0
rev: 23.12.1
# Black has sensible defaults, doesn't need package context, and ignores
# everything in .gitignore, so it works fine without any config or arguments.
hooks:
- id: black
name: Format (Black)
name: Lint (Black)
language_version: python3.10
- repo: https://github.com/PyCQA/flake8
rev: 7.0.0
@@ -153,126 +50,78 @@ repos:
# them separately.
hooks:
- id: flake8
name: Lint (Flake8) - Classic - AutoGPT
alias: flake8-classic-autogpt
files: ^classic/original_autogpt/(autogpt|scripts|tests)/
args: [--config=classic/original_autogpt/.flake8]
name: Lint (Flake8) - AutoGPT
alias: flake8-autogpt
files: ^autogpt/(autogpt|scripts|tests)/
args: [--config=autogpt/.flake8]
- id: flake8
name: Lint (Flake8) - Classic - Forge
alias: flake8-classic-forge
files: ^classic/forge/(forge|tests)/
args: [--config=classic/forge/.flake8]
name: Lint (Flake8) - Forge
alias: flake8-forge
files: ^forge/(forge|tests)/
args: [--config=forge/.flake8]
- id: flake8
name: Lint (Flake8) - Classic - Benchmark
alias: flake8-classic-benchmark
files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
args: [--config=classic/benchmark/.flake8]
- repo: local
hooks:
- id: prettier
name: Format (Prettier) - AutoGPT Platform - Frontend
alias: format-platform-frontend
entry: bash -c 'cd autogpt_platform/frontend && npx prettier --write $(echo "$@" | sed "s|autogpt_platform/frontend/||g")' --
files: ^autogpt_platform/frontend/
types: [file]
language: system
name: Lint (Flake8) - Benchmark
alias: flake8-benchmark
files: ^benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
args: [--config=benchmark/.flake8]
- repo: local
# To have watertight type checking, we check *all* the files in an affected
# project. To trigger on poetry.lock we also reset the file `types` filter.
hooks:
- id: pyright
name: Typecheck - AutoGPT Platform - Backend
alias: pyright-platform-backend
entry: poetry -C autogpt_platform/backend run pyright
name: Typecheck - AutoGPT
alias: pyright-autogpt
entry: poetry -C autogpt run pyright
args: [-p, autogpt, autogpt]
# include forge source (since it's a path dependency) but exclude *_test.py files:
files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
files: ^(autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - AutoGPT Platform - Libs
alias: pyright-platform-libs
entry: poetry -C autogpt_platform/autogpt_libs run pyright
files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
name: Typecheck - Forge
alias: pyright-forge
entry: poetry -C forge run pyright
args: [-p, forge, forge]
files: ^forge/(forge/|poetry\.lock$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - Classic - AutoGPT
alias: pyright-classic-autogpt
entry: poetry -C classic/original_autogpt run pyright
# include forge source (since it's a path dependency) but exclude *_test.py files:
files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - Classic - Forge
alias: pyright-classic-forge
entry: poetry -C classic/forge run pyright
files: ^classic/forge/(forge/|poetry\.lock$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - Classic - Benchmark
alias: pyright-classic-benchmark
entry: poetry -C classic/benchmark run pyright
files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
name: Typecheck - Benchmark
alias: pyright-benchmark
entry: poetry -C benchmark run pyright
args: [-p, benchmark, benchmark]
files: ^benchmark/(agbenchmark/|tests/|poetry\.lock$)
types: [file]
language: system
pass_filenames: false
- repo: local
hooks:
- id: tsc
name: Typecheck - AutoGPT Platform - Frontend
entry: bash -c 'cd autogpt_platform/frontend && pnpm types'
files: ^autogpt_platform/frontend/
types: [file]
- id: pytest-autogpt
name: Run tests - AutoGPT (excl. slow tests)
entry: bash -c 'cd autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
# include forge source (since it's a path dependency) but exclude *_test.py files:
files: ^(autogpt/((autogpt|tests)/|poetry\.lock$)|forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
language: system
pass_filenames: false
# - repo: local
# hooks:
# - id: pytest
# name: Run tests - AutoGPT Platform - Backend
# alias: pytest-platform-backend
# entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
# # include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
# files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
# language: system
# pass_filenames: false
- id: pytest-forge
name: Run tests - Forge (excl. slow tests)
entry: bash -c 'cd forge && poetry run pytest --cov=forge -m "not slow"'
files: ^forge/(forge/|tests/|poetry\.lock$)
language: system
pass_filenames: false
# - id: pytest
# name: Run tests - Classic - AutoGPT (excl. slow tests)
# alias: pytest-classic-autogpt
# entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
# # include forge source (since it's a path dependency) but exclude *_test.py files:
# files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
# language: system
# pass_filenames: false
# - id: pytest
# name: Run tests - Classic - Forge (excl. slow tests)
# alias: pytest-classic-forge
# entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
# files: ^classic/forge/(forge/|tests/|poetry\.lock$)
# language: system
# pass_filenames: false
# - id: pytest
# name: Run tests - Classic - Benchmark
# alias: pytest-classic-benchmark
# entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
# files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
# language: system
# pass_filenames: false
- id: pytest-benchmark
name: Run tests - Benchmark
entry: bash -c 'cd benchmark && poetry run pytest --cov=benchmark'
files: ^benchmark/(agbenchmark/|tests/|poetry\.lock$)
language: system
pass_filenames: false

View File

@@ -1,54 +1,39 @@
{
"folders": [
{
"name": "frontend",
"path": "../autogpt_platform/frontend"
"name": "autogpt",
"path": "../autogpt"
},
{
"name": "backend",
"path": "../autogpt_platform/backend"
},
{
"name": "market",
"path": "../autogpt_platform/market"
},
{
"name": "lib",
"path": "../autogpt_platform/autogpt_libs"
},
{
"name": "infra",
"path": "../autogpt_platform/infra"
"name": "benchmark",
"path": "../benchmark"
},
{
"name": "docs",
"path": "../docs"
},
{
"name": "classic - autogpt",
"path": "../classic/original_autogpt"
"name": "forge",
"path": "../forge"
},
{
"name": "classic - benchmark",
"path": "../classic/benchmark"
"name": "frontend",
"path": "../frontend"
},
{
"name": "classic - forge",
"path": "../classic/forge"
"name": "autogpt_server",
"path": "../rnd/autogpt_server"
},
{
"name": "classic - frontend",
"path": "../classic/frontend"
"name": "autogpt_builder",
"path": "../rnd/autogpt_builder"
},
{
"name": "[root]",
"path": ".."
}
],
"settings": {
"python.analysis.typeCheckingMode": "basic"
},
"settings": {},
"extensions": {
"recommendations": [
"charliermarsh.ruff",

67
.vscode/launch.json vendored
View File

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

View File

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

182
CLI-USAGE.md Executable file
View File

@@ -0,0 +1,182 @@
## CLI Documentation
This document describes how to interact with the project's CLI (Command Line Interface). It includes the types of outputs you can expect from each command. Note that the `agents stop` command will terminate any process running on port 8000.
### 1. Entry Point for the CLI
Running the `./run` command without any parameters will display the help message, which provides a list of available commands and options. Additionally, you can append `--help` to any command to view help information specific to that command.
```sh
./run
```
**Output**:
```
Usage: cli.py [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
agent Commands to create, start and stop agents
benchmark Commands to start the benchmark and list tests and categories
setup Installs dependencies needed for your system.
```
If you need assistance with any command, simply add the `--help` parameter to the end of your command, like so:
```sh
./run COMMAND --help
```
This will display a detailed help message regarding that specific command, including a list of any additional options and arguments it accepts.
### 2. Setup Command
```sh
./run setup
```
**Output**:
```
Setup initiated
Installation has been completed.
```
This command initializes the setup of the project.
### 3. Agents Commands
**a. List All Agents**
```sh
./run agent list
```
**Output**:
```
Available agents: 🤖
🐙 forge
🐙 autogpt
```
Lists all the available agents.
**b. Create a New Agent**
```sh
./run agent create my_agent
```
**Output**:
```
🎉 New agent 'my_agent' created and switched to the new directory in agents folder.
```
Creates a new agent named 'my_agent'.
**c. Start an Agent**
```sh
./run agent start my_agent
```
**Output**:
```
... (ASCII Art representing the agent startup)
[Date and Time] [forge.sdk.db] [DEBUG] 🐛 Initializing AgentDB with database_string: sqlite:///agent.db
[Date and Time] [forge.sdk.agent] [INFO] 📝 Agent server starting on http://0.0.0.0:8000
```
Starts the 'my_agent' and displays startup ASCII art and logs.
**d. Stop an Agent**
```sh
./run agent stop
```
**Output**:
```
Agent stopped
```
Stops the running agent.
### 4. Benchmark Commands
**a. List Benchmark Categories**
```sh
./run benchmark categories list
```
**Output**:
```
Available categories: 📚
📖 code
📖 safety
📖 memory
... (and so on)
```
Lists all available benchmark categories.
**b. List Benchmark Tests**
```sh
./run benchmark tests list
```
**Output**:
```
Available tests: 📚
📖 interface
🔬 Search - TestSearch
🔬 Write File - TestWriteFile
... (and so on)
```
Lists all available benchmark tests.
**c. Show Details of a Benchmark Test**
```sh
./run benchmark tests details TestWriteFile
```
**Output**:
```
TestWriteFile
-------------
Category: interface
Task: Write the word 'Washington' to a .txt file
... (and other details)
```
Displays the details of the 'TestWriteFile' benchmark test.
**d. Start Benchmark for the Agent**
```sh
./run benchmark start my_agent
```
**Output**:
```
(more details about the testing process shown whilst the test are running)
============= 13 failed, 1 passed in 0.97s ============...
```
Displays the results of the benchmark tests on 'my_agent'.

View File

@@ -2,14 +2,14 @@
If you are reading this, you are probably looking for the full **[contribution guide]**,
which is part of our [wiki].
Also check out our [🚀 Roadmap][roadmap] for information about our priorities and associated tasks.
<!-- You can find our immediate priorities and their progress on our public [kanban board]. -->
[contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
[wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
[roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
[kanban board]: https://github.com/orgs/Significant-Gravitas/projects/1
## Contributing to the AutoGPT Platform Folder
All contributions to [the autogpt_platform folder](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform) will be under our [Contribution License Agreement](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/Contributor%20License%20Agreement%20(CLA).md). By making a pull request contributing to this folder, you agree to the terms of our CLA for your contribution. All contributions to other folders will be under the MIT license.
## In short
1. Avoid duplicate work, issues, PRs etc.
2. We encourage you to collaborate with fellow community members on some of our bigger

View File

@@ -2,7 +2,7 @@
ARG BUILD_TYPE=dev
# Use an official Python base image from the Docker Hub
FROM python:3.12-slim AS autogpt-base
FROM python:3.10-slim AS autogpt-base
# Install browsers
RUN apt-get update && apt-get install -y \
@@ -29,29 +29,33 @@ ENV PATH="$POETRY_HOME/bin:$PATH"
RUN poetry config installer.max-workers 10
WORKDIR /app/autogpt
COPY original_autogpt/pyproject.toml original_autogpt/poetry.lock ./
COPY autogpt/pyproject.toml autogpt/poetry.lock ./
# Include forge so it can be used as a path dependency
COPY forge/ ../forge
# Include frontend
COPY frontend/ ../frontend
# Set the entrypoint
ENTRYPOINT ["poetry", "run", "autogpt"]
CMD []
# dev build -> include everything
FROM autogpt-base AS autogpt-dev
FROM autogpt-base as autogpt-dev
RUN poetry install --no-cache --no-root \
&& rm -rf $(poetry env info --path)/src
ONBUILD COPY original_autogpt/ ./
ONBUILD RUN mkdir -p ./data
ONBUILD COPY autogpt/ ./
# release build -> include bare minimum
FROM autogpt-base AS autogpt-release
FROM autogpt-base as autogpt-release
RUN poetry install --no-cache --no-root --without dev \
&& rm -rf $(poetry env info --path)/src
ONBUILD COPY original_autogpt/ ./autogpt
ONBUILD COPY original_autogpt/README.md ./README.md
ONBUILD RUN mkdir -p ./data
ONBUILD COPY autogpt/autogpt/ ./autogpt
ONBUILD COPY autogpt/scripts/ ./scripts
ONBUILD COPY autogpt/plugins/ ./plugins
ONBUILD COPY autogpt/README.md ./README.md
ONBUILD RUN mkdir ./data
FROM autogpt-${BUILD_TYPE} AS autogpt
RUN poetry install --only-root

173
FORGE-QUICKSTART.md Normal file
View File

@@ -0,0 +1,173 @@
# Quickstart Guide
> For the complete getting started [tutorial series](https://aiedge.medium.com/autogpt-forge-e3de53cc58ec) <- click here
Welcome to the Quickstart Guide! This guide will walk you through setting up, building, and running your own AutoGPT agent. Whether you're a seasoned AI developer or just starting out, this guide will provide you with the steps to jumpstart your journey in AI development with AutoGPT.
## System Requirements
This project supports Linux (Debian-based), Mac, and Windows Subsystem for Linux (WSL). If you use a Windows system, you must install WSL. You can find the installation instructions for WSL [here](https://learn.microsoft.com/en-us/windows/wsl/).
## Getting Setup
1. **Fork the Repository**
To fork the repository, follow these steps:
- Navigate to the main page of the repository.
![Repository](docs/content/imgs/quickstart/001_repo.png)
- In the top-right corner of the page, click Fork.
![Create Fork UI](docs/content/imgs/quickstart/002_fork.png)
- On the next page, select your GitHub account to create the fork.
- Wait for the forking process to complete. You now have a copy of the repository in your GitHub account.
2. **Clone the Repository**
To clone the repository, you need to have Git installed on your system. If you don't have Git installed, download it from [here](https://git-scm.com/downloads). Once you have Git installed, follow these steps:
- Open your terminal.
- Navigate to the directory where you want to clone the repository.
- Run the git clone command for the fork you just created
![Clone the Repository](docs/content/imgs/quickstart/003_clone.png)
- Then open your project in your ide
![Open the Project in your IDE](docs/content/imgs/quickstart/004_ide.png)
4. **Setup the Project**
Next, we need to set up the required dependencies. We have a tool to help you perform all the tasks on the repo.
It can be accessed by running the `run` command by typing `./run` in the terminal.
The first command you need to use is `./run setup.` This will guide you through setting up your system.
Initially, you will get instructions for installing Flutter and Chrome and setting up your GitHub access token like the following image:
![Setup the Project](docs/content/imgs/quickstart/005_setup.png)
### For Windows Users
If you're a Windows user and experience issues after installing WSL, follow the steps below to resolve them.
#### Update WSL
Run the following command in Powershell or Command Prompt:
1. Enable the optional WSL and Virtual Machine Platform components.
2. Download and install the latest Linux kernel.
3. Set WSL 2 as the default.
4. Download and install the Ubuntu Linux distribution (a reboot may be required).
```shell
wsl --install
```
For more detailed information and additional steps, refer to [Microsoft's WSL Setup Environment Documentation](https://learn.microsoft.com/en-us/windows/wsl/setup/environment).
#### Resolve FileNotFoundError or "No such file or directory" Errors
When you run `./run setup`, if you encounter errors like `No such file or directory` or `FileNotFoundError`, it might be because Windows-style line endings (CRLF - Carriage Return Line Feed) are not compatible with Unix/Linux style line endings (LF - Line Feed).
To resolve this, you can use the `dos2unix` utility to convert the line endings in your script from CRLF to LF. Heres how to install and run `dos2unix` on the script:
```shell
sudo apt update
sudo apt install dos2unix
dos2unix ./run
```
After executing the above commands, running `./run setup` should work successfully.
#### Store Project Files within the WSL File System
If you continue to experience issues, consider storing your project files within the WSL file system instead of the Windows file system. This method avoids path translations and permissions issues and provides a more consistent development environment.
You can keep running the command to get feedback on where you are up to with your setup.
When setup has been completed, the command will return an output like this:
![Setup Complete](docs/content/imgs/quickstart/006_setup_complete.png)
## Creating Your Agent
After completing the setup, the next step is to create your agent template.
Execute the command `./run agent create YOUR_AGENT_NAME`, where `YOUR_AGENT_NAME` should be replaced with your chosen name.
Tips for naming your agent:
* Give it its own unique name, or name it after yourself
* Include an important aspect of your agent in the name, such as its purpose
Examples: `SwiftyosAssistant`, `PwutsPRAgent`, `MySuperAgent`
![Create an Agent](docs/content/imgs/quickstart/007_create_agent.png)
## Running your Agent
Your agent can be started using the command: `./run agent start YOUR_AGENT_NAME`
This starts the agent on the URL: `http://localhost:8000/`
![Start the Agent](docs/content/imgs/quickstart/009_start_agent.png)
The front end can be accessed from `http://localhost:8000/`; first, you must log in using either a Google account or your GitHub account.
![Login](docs/content/imgs/quickstart/010_login.png)
Upon logging in, you will get a page that looks something like this: your task history down the left-hand side of the page, and the 'chat' window to send tasks to your agent.
![Login](docs/content/imgs/quickstart/011_home.png)
When you have finished with your agent or just need to restart it, use Ctl-C to end the session. Then, you can re-run the start command.
If you are having issues and want to ensure the agent has been stopped, there is a `./run agent stop` command, which will kill the process using port 8000, which should be the agent.
## Benchmarking your Agent
The benchmarking system can also be accessed using the CLI too:
```bash
agpt % ./run benchmark
Usage: cli.py benchmark [OPTIONS] COMMAND [ARGS]...
Commands to start the benchmark and list tests and categories
Options:
--help Show this message and exit.
Commands:
categories Benchmark categories group command
start Starts the benchmark command
tests Benchmark tests group command
agpt % ./run benchmark categories
Usage: cli.py benchmark categories [OPTIONS] COMMAND [ARGS]...
Benchmark categories group command
Options:
--help Show this message and exit.
Commands:
list List benchmark categories command
agpt % ./run benchmark tests
Usage: cli.py benchmark tests [OPTIONS] COMMAND [ARGS]...
Benchmark tests group command
Options:
--help Show this message and exit.
Commands:
details Benchmark test details command
list List benchmark tests command
```
The benchmark has been split into different categories of skills you can test your agent on. You can see what categories are available with
```bash
./run benchmark categories list
# And what tests are available with
./run benchmark tests list
```
![Login](docs/content/imgs/quickstart/012_tests.png)
Finally, you can run the benchmark with
```bash
./run benchmark start YOUR_AGENT_NAME
```
>

199
LICENSE
View File

@@ -1,204 +1,7 @@
All portions of this repository are under one of two licenses.
- Everything inside the autogpt_platform folder is under the Polyform Shield License.
- Everything outside the autogpt_platform folder is under the MIT License.
More info:
**Polyform Shield License:**
Code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.
Read more about this effort here: https://agpt.co/blog/introducing-the-autogpt-platform
**MIT License:**
All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes:
- The Original, stand-alone AutoGPT Agent
- Forge: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge
- AG Benchmark: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark
- AutoGPT Classic GUI: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend.
We also publish additional work under the MIT Licence in other repositories, such as GravitasML (https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform, and our [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
Both licences are available to read below:
=====================================================
-----------------------------------------------------
=====================================================
# PolyForm Shield License 1.0.0
<https://polyformproject.org/licenses/shield/1.0.0>
## Acceptance
In order to get any license under these terms, you must agree
to them as both strict obligations and conditions to all
your licenses.
## Copyright License
The licensor grants you a copyright license for the
software to do everything you might do with the software
that would otherwise infringe the licensor's copyright
in it for any permitted purpose. However, you may
only distribute the software according to [Distribution
License](#distribution-license) and make changes or new works
based on the software according to [Changes and New Works
License](#changes-and-new-works-license).
## Distribution License
The licensor grants you an additional copyright license
to distribute copies of the software. Your license
to distribute covers distributing the software with
changes and new works permitted by [Changes and New Works
License](#changes-and-new-works-license).
## Notices
You must ensure that anyone who gets a copy of any part of
the software from you also gets a copy of these terms or the
URL for them above, as well as copies of any plain-text lines
beginning with `Required Notice:` that the licensor provided
with the software. For example:
> Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
## Changes and New Works License
The licensor grants you an additional copyright license to
make changes and new works based on the software for any
permitted purpose.
## Patent License
The licensor grants you a patent license for the software that
covers patent claims the licensor can license, or becomes able
to license, that you would infringe by using the software.
## Noncompete
Any purpose is a permitted purpose, except for providing any
product that competes with the software or any product the
licensor or any of its affiliates provides using the software.
## Competition
Goods and services compete even when they provide functionality
through different kinds of interfaces or for different technical
platforms. Applications can compete with services, libraries
with plugins, frameworks with development tools, and so on,
even if they're written in different programming languages
or for different computer architectures. Goods and services
compete even when provided free of charge. If you market a
product as a practical substitute for the software or another
product, it definitely competes.
## New Products
If you are using the software to provide a product that does
not compete, but the licensor or any of its affiliates brings
your product into competition by providing a new version of
the software or another product using the software, you may
continue using versions of the software available under these
terms beforehand to provide your competing product, but not
any later versions.
## Discontinued Products
You may begin using the software to compete with a product
or service that the licensor or any of its affiliates has
stopped providing, unless the licensor includes a plain-text
line beginning with `Licensor Line of Business:` with the
software that mentions that line of business. For example:
> Licensor Line of Business: YoyodyneCMS Content Management
System (http://example.com/cms)
## Sales of Business
If the licensor or any of its affiliates sells a line of
business developing the software or using the software
to provide a product, the buyer can also enforce
[Noncompete](#noncompete) for that product.
## Fair Use
You may have "fair use" rights for the software under the
law. These terms do not limit them.
## No Other Rights
These terms do not allow you to sublicense or transfer any of
your licenses to anyone else, or prevent the licensor from
granting licenses to anyone else. These terms do not imply
any other licenses.
## Patent Defense
If you make any written claim that the software infringes or
contributes to infringement of any patent, your patent license
for the software granted under these terms ends immediately. If
your company makes such a claim, your patent license ends
immediately for work on behalf of your company.
## Violations
The first time you are notified in writing that you have
violated any of these terms, or done anything with the software
not covered by your licenses, your licenses can nonetheless
continue if you come into full compliance with these terms,
and take practical steps to correct past violations, within
32 days of receiving notice. Otherwise, all your licenses
end immediately.
## No Liability
***As far as the law allows, the software comes as is, without
any warranty or condition, and the licensor will not be liable
to you for any damages arising out of these terms or the use
or nature of the software, under any kind of legal claim.***
## Definitions
The **licensor** is the individual or entity offering these
terms, and the **software** is the software the licensor makes
available under these terms.
A **product** can be a good or service, or a combination
of them.
**You** refers to the individual or entity agreeing to these
terms.
**Your company** is any legal entity, sole proprietorship,
or other kind of organization that you work for, plus all
its affiliates.
**Affiliates** means the other organizations than an
organization has control over, is under the control of, or is
under common control with.
**Control** means ownership of substantially all the assets of
an entity, or the power to direct its management and policies
by vote, contract, or otherwise. Control can be direct or
indirect.
**Your licenses** are all the licenses granted to you for the
software under these terms.
**Use** means anything you do with the software requiring one
of your licenses.
=====================================================
-----------------------------------------------------
=====================================================
MIT License
Copyright (c) 2023 Toran Bruce Richards
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
@@ -206,11 +9,9 @@ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

167
README.md
View File

@@ -1,139 +1,17 @@
# AutoGPT: Build, Deploy, and Run AI Agents
# AutoGPT: build & use AI agents
[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt) &ensp;
[![Discord Follow](https://dcbadge.vercel.app/api/server/autogpt?style=flat)](https://discord.gg/autogpt) &ensp;
[![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT) &ensp;
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
<!-- 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 generalist LLM based AI agent that can autonomously accomplish minor tasks.
**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
**Examples**:
## Hosting Options
- Download to self-host (Free!)
- [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)
- Look up and summarize this research paper
- Write a marketing for food supplements
- Write a blog post detailing the news in AI
## How to Self-Host the AutoGPT Platform
> [!NOTE]
> Setting up and hosting the AutoGPT Platform yourself is a technical process.
> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.
### System Requirements
Before proceeding with the installation, ensure your system meets the following requirements:
#### Hardware Requirements
- CPU: 4+ cores recommended
- RAM: Minimum 8GB, 16GB recommended
- Storage: At least 10GB of free space
#### Software Requirements
- Operating Systems:
- Linux (Ubuntu 20.04 or newer recommended)
- macOS (10.15 or newer)
- Windows 10/11 with WSL2
- Required Software (with minimum versions):
- Docker Engine (20.10.0 or newer)
- Docker Compose (2.0.0 or newer)
- Git (2.30 or newer)
- Node.js (16.x or newer)
- npm (8.x or newer)
- VSCode (1.60 or newer) or any modern code editor
#### Network Requirements
- Stable internet connection
- Access to required ports (will be configured in Docker)
- Ability to make outbound HTTPS connections
### Updated Setup Instructions:
We've moved to a fully maintained and regularly updated documentation site.
👉 [Follow the official self-hosting guide here](https://docs.agpt.co/platform/getting-started/)
This tutorial assumes you have Docker, VSCode, git and npm installed.
---
#### ⚡ Quick Setup with One-Line Script (Recommended for Local Hosting)
Skip the manual steps and get started in minutes using our automatic setup script.
For macOS/Linux:
```
curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
```
For Windows (PowerShell):
```
powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
```
This will install dependencies, configure Docker, and launch your local instance — all in one go.
### 🧱 AutoGPT Frontend
The AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:
**Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents.
**Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.
**Deployment Controls:** Manage the lifecycle of your agents, from testing to production.
**Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.
**Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.
**Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.
[Read this guide](https://docs.agpt.co/platform/new_blocks/) to learn how to build your own custom blocks.
### 💽 AutoGPT Server
The AutoGPT Server is the powerhouse of our platform This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously. It contains all the essential components that make AutoGPT run smoothly.
**Source Code:** The core logic that drives our agents and automation processes.
**Infrastructure:** Robust systems that ensure reliable and scalable performance.
**Marketplace:** A comprehensive marketplace where you can find and deploy a wide range of pre-built agents.
### 🐙 Example Agents
Here are two examples of what you can do with AutoGPT:
1. **Generate Viral Videos from Trending Topics**
- This agent reads topics on Reddit.
- It identifies trending topics.
- It then automatically creates a short-form video based on the content.
2. **Identify Top Quotes from Videos for Social Media**
- This agent subscribes to your YouTube channel.
- When you post a new video, it transcribes it.
- It uses AI to identify the most impactful quotes to generate a summary.
- Then, it writes a post to automatically publish to your social media.
These examples show just a glimpse of what you can achieve with AutoGPT! You can create customized workflows to build agents for any use case.
---
### **License Overview:**
🛡️ **Polyform Shield License:**
All code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.</br>_[Read more about this effort](https://agpt.co/blog/introducing-the-autogpt-platform)_
🦉 **MIT License:**
All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes the original stand-alone AutoGPT Agent, along with projects such as [Forge](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge), [agbenchmark](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) and the [AutoGPT Classic GUI](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend).</br>We also publish additional work under the MIT Licence in other repositories, such as [GravitasML](https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform. See also our MIT Licenced [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
---
### Mission
Our mission is to provide the tools, so that you can focus on what matters:
- 🏗️ **Building** - Lay the foundation for something amazing.
@@ -145,21 +23,19 @@ Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI i
**📖 [Documentation](https://docs.agpt.co)**
&ensp;|&ensp;
**🚀 [Contributing](CONTRIBUTING.md)**
&ensp;|&ensp;
**🛠️ [Build your own Agent - Quickstart](FORGE-QUICKSTART.md)**
---
## 🤖 AutoGPT Classic
> Below is information about the classic version of AutoGPT.
**🛠️ [Build your own Agent - Quickstart](classic/FORGE-QUICKSTART.md)**
## 🧱 Building blocks
### 🏗️ Forge
**Forge your own agent!** &ndash; Forge is a ready-to-go toolkit to build your own agent application. It handles most of the boilerplate code, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from [`forge`](/classic/forge/) can also be used individually to speed up development and reduce boilerplate in your agent project.
**Forge your own agent!** &ndash; Forge is a ready-to-go template for your agent application. All the boilerplate code is already handled, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from the [`forge.sdk`](/forge/forge/sdk) can also be used individually to speed up development and reduce boilerplate in your agent project.
🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/forge/tutorials/001_getting_started.md) &ndash;
🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/forge/tutorials/001_getting_started.md) &ndash;
This guide will walk you through the process of creating your own agent and using the benchmark and user interface.
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge) about Forge
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/forge) about Forge
### 🎯 Benchmark
@@ -169,7 +45,7 @@ This guide will walk you through the process of creating your own agent and usin
📦 [`agbenchmark`](https://pypi.org/project/agbenchmark/) on Pypi
&ensp;|&ensp;
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) about the Benchmark
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/blob/master/benchmark) about the Benchmark
### 💻 UI
@@ -179,7 +55,7 @@ This guide will walk you through the process of creating your own agent and usin
The frontend works out-of-the-box with all agents in the repo. Just use the [CLI] to run your agent of choice!
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend) about the Frontend
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/frontend) about the Frontend
### ⌨️ CLI
@@ -208,7 +84,7 @@ Just clone the repo, install dependencies with `./run setup`, and you should be
[![Join us on Discord](https://invidget.switchblade.xyz/autogpt)](https://discord.gg/autogpt)
To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn't created an issue for the same topic.
To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasnt created an issue for the same topic.
## 🤝 Sister projects
@@ -218,8 +94,6 @@ To maintain a uniform standard and ensure seamless compatibility with many curre
---
## Stars stats
<p align="center">
<a href="https://star-history.com/#Significant-Gravitas/AutoGPT">
<picture>
@@ -229,10 +103,3 @@ To maintain a uniform standard and ensure seamless compatibility with many curre
</picture>
</a>
</p>
## ⚡ Contributors
<a href="https://github.com/Significant-Gravitas/AutoGPT/graphs/contributors" alt="View Contributors">
<img src="https://contrib.rocks/image?repo=Significant-Gravitas/AutoGPT&max=1000&columns=10" alt="Contributors" />
</a>

View File

@@ -1,48 +1,66 @@
# Security Policy
## Reporting Security Issues
- [**Using AutoGPT Securely**](#using-AutoGPT-securely)
- [Restrict Workspace](#restrict-workspace)
- [Untrusted inputs](#untrusted-inputs)
- [Data privacy](#data-privacy)
- [Untrusted environments or networks](#untrusted-environments-or-networks)
- [Multi-Tenant environments](#multi-tenant-environments)
- [**Reporting a Vulnerability**](#reporting-a-vulnerability)
We take the security of our project seriously. If you believe you have found a security vulnerability, please report it to us privately. **Please do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.**
## Using AutoGPT Securely
> **Important Note**: Any code within the `classic/` folder is considered legacy, unsupported, and out of scope for security reports. We will not address security vulnerabilities in this deprecated code.
### Restrict Workspace
Instead, please report them via:
- [GitHub Security Advisory](https://github.com/Significant-Gravitas/AutoGPT/security/advisories/new)
<!--- [Huntr.dev](https://huntr.com/repos/significant-gravitas/autogpt) - where you may be eligible for a bounty-->
Since agents can read and write files, it is important to keep them restricted to a specific workspace. This happens by default *unless* RESTRICT_TO_WORKSPACE is set to False.
### Reporting Process
1. **Submit Report**: Use one of the above channels to submit your report
2. **Response Time**: Our team will acknowledge receipt of your report within 14 business days.
3. **Collaboration**: We will collaborate with you to understand and validate the issue
4. **Resolution**: We will work on a fix and coordinate the release process
Disabling RESTRICT_TO_WORKSPACE can increase security risks. However, if you still need to disable it, consider running AutoGPT inside a [sandbox](https://developers.google.com/code-sandboxing), to mitigate some of these risks.
### Disclosure Policy
- Please provide detailed reports with reproducible steps
- Include the version/commit hash where you discovered the vulnerability
- Allow us a 90-day security fix window before any public disclosure
- After patch is released, allow 30 days for users to update before public disclosure (for a total of 120 days max between update time and fix time)
- Share any potential mitigations or workarounds if known
### Untrusted inputs
## Supported Versions
Only the following versions are eligible for security updates:
When handling untrusted inputs, it's crucial to isolate the execution and carefully pre-process inputs to mitigate script injection risks.
| Version | Supported |
|---------|-----------|
| Latest release on master branch | ✅ |
| Development commits (pre-master) | ✅ |
| Classic folder (deprecated) | ❌ |
| All other versions | ❌ |
For maximum security when handling untrusted inputs, you may need to employ the following:
## Security Best Practices
When using this project:
1. Always use the latest stable version
2. Review security advisories before updating
3. Follow our security documentation and guidelines
4. Keep your dependencies up to date
5. Do not use code from the `classic/` folder as it is deprecated and unsupported
* Sandboxing: Isolate the process.
* Updates: Keep your libraries (including AutoGPT) updated with the latest security patches.
* Input Sanitation: Before feeding data to the model, sanitize inputs rigorously. This involves techniques such as:
* Validation: Enforce strict rules on allowed characters and data types.
* Filtering: Remove potentially malicious scripts or code fragments.
* Encoding: Convert special characters into safe representations.
* Verification: Run tooling that identifies potential script injections (e.g. [models that detect prompt injection attempts](https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection)).
## Past Security Advisories
For a list of past security advisories, please visit our [Security Advisory Page](https://github.com/Significant-Gravitas/AutoGPT/security/advisories) and [Huntr Disclosures Page](https://huntr.com/repos/significant-gravitas/autogpt).
### Data privacy
---
Last updated: November 2024
To protect sensitive data from potential leaks or unauthorized access, it is crucial to sandbox the agent execution. This means running it in a secure, isolated environment, which helps mitigate many attack vectors.
### Untrusted environments or networks
Since AutoGPT performs network calls to the OpenAI API, it is important to always run it with trusted environments and networks. Running it on untrusted environments can expose your API KEY to attackers.
Additionally, running it on an untrusted network can expose your data to potential network attacks.
However, even when running on trusted networks, it is important to always encrypt sensitive data while sending it over the network.
### Multi-Tenant environments
If you intend to run multiple AutoGPT brains in parallel, it is your responsibility to ensure the models do not interact or access each other's data.
The primary areas of concern are tenant isolation, resource allocation, model sharing and hardware attacks.
- Tenant Isolation: you must make sure that the tenants run separately to prevent unwanted access to the data from other tenants. Keeping model network traffic separate is also important because you not only prevent unauthorized access to data, but also prevent malicious users or tenants sending prompts to execute under another tenants identity.
- Resource Allocation: a denial of service caused by one tenant can affect the overall system health. Implement safeguards like rate limits, access controls, and health monitoring.
- Data Sharing: in a multi-tenant design with data sharing, ensure tenants and users understand the security risks and sandbox agent execution to mitigate risks.
- Hardware Attacks: the hardware (GPUs or TPUs) can also be attacked. [Research](https://scholar.google.com/scholar?q=gpu+side+channel) has shown that side channel attacks on GPUs are possible, which can make data leak from other brains or processes running on the same system at the same time.
## Reporting a Vulnerability
Beware that none of the topics under [Using AutoGPT Securely](#using-AutoGPT-securely) are considered vulnerabilities on AutoGPT.
However, If you have discovered a security vulnerability in this project, please report it privately. **Do not disclose it as a public issue.** This gives us time to work with you to fix the issue before public exposure, reducing the chance that the exploit will be used before a patch is released.
Please disclose it as a private [security advisory](https://github.com/Significant-Gravitas/AutoGPT/security/advisories/new).
A team of volunteers on a reasonable-effort basis maintains this project. As such, please give us at least 90 days to work on a fix before public exposure.

View File

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

View File

@@ -0,0 +1,13 @@
# Use an official Python base image from the Docker Hub
FROM python:3.10
# Install browsers
RUN apt-get update && apt-get install -y \
chromium-driver firefox-esr \
ca-certificates
# Install utilities
RUN apt-get install -y curl jq wget git
# Declare working directory
WORKDIR /workspace/AutoGPT

View File

@@ -0,0 +1,12 @@
# To boot the app run the following:
# docker-compose run auto-gpt
version: '3.9'
services:
auto-gpt:
build:
dockerfile: .devcontainer/Dockerfile
context: ../
tty: true
volumes:
- ../:/workspace/AutoGPT

View File

@@ -1,18 +1,3 @@
################################################################################
### AutoGPT - CONFIGURATION FILE
################################################################################
#
# AutoGPT searches for .env files in these locations (first found wins):
# 1. Current working directory (./.env)
# 2. User config directory (~/.autogpt/.env)
# 3. XDG config directory (~/.config/autogpt/.env)
# 4. Package installation directory
#
# For user-level configuration that works from any directory, copy this file to:
# ~/.autogpt/.env
#
################################################################################
################################################################################
### AutoGPT - GENERAL SETTINGS
################################################################################
@@ -26,9 +11,6 @@
## GROQ_API_KEY - Groq API Key (Example: gsk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
# GROQ_API_KEY=
## LLAMAFILE_API_BASE - Llamafile API base URL
# LLAMAFILE_API_BASE=http://localhost:8080/v1
## TELEMETRY_OPT_IN - Share telemetry on errors and other issues with the AutoGPT team, e.g. through Sentry.
## This helps us to spot and solve problems earlier & faster. (Default: DISABLED)
# TELEMETRY_OPT_IN=true
@@ -120,7 +102,6 @@
## HUGGINGFACE_API_TOKEN - HuggingFace API token (Default: None)
# HUGGINGFACE_API_TOKEN=
### Stable Diffusion (IMAGE_PROVIDER=sdwebui)
## SD_WEBUI_AUTH - Stable Diffusion Web UI username:password pair (Default: None)
@@ -140,18 +121,10 @@
### WEB BROWSING
################################################################################
## TAVILY_API_KEY - Tavily API key for AI-optimized search (recommended)
## Get your key at https://tavily.com - 1000 free searches/month
# TAVILY_API_KEY=
## SERPER_API_KEY - Serper.dev API key for fast Google SERP results
## Get your key at https://serper.dev - 2500 free searches to start
# SERPER_API_KEY=
## GOOGLE_API_KEY - Google API key (Default: None) - DEPRECATED, use Serper instead
## GOOGLE_API_KEY - Google API key (Default: None)
# GOOGLE_API_KEY=
## GOOGLE_CUSTOM_SEARCH_ENGINE_ID - Google custom search engine ID (Default: None) - DEPRECATED
## GOOGLE_CUSTOM_SEARCH_ENGINE_ID - Google custom search engine ID (Default: None)
# GOOGLE_CUSTOM_SEARCH_ENGINE_ID=
################################################################################

167
autogpt/.gitignore vendored Normal file
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@@ -0,0 +1,167 @@
## Original ignores
autogpt/keys.py
autogpt/*.json
*.mpeg
.env
azure.yaml
.vscode
.idea/*
auto-gpt.json
log.txt
log-ingestion.txt
/logs
*.log
*.mp3
mem.sqlite3
venvAutoGPT
data/*
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
/plugins/*
plugins_config.yaml
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
site/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.direnv/
.env
.venv
env/
venv*/
ENV/
env.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
llama-*
vicuna-*
# mac
.DS_Store
openai/
# news
CURRENT_BULLETIN.md
# Nodejs
package-lock.json
package.json
# Keep
!.keep

160
autogpt/README.md Normal file
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@@ -0,0 +1,160 @@
# AutoGPT: An Autonomous GPT-4 Experiment
[📖 **Documentation**][docs]
&ensp;|&ensp;
[🚀 **Contributing**](../../CONTRIBUTING.md)
AutoGPT is an experimental open-source application showcasing the capabilities of modern Large Language Models. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI.
<h2 align="center"> Demo April 16th 2023 </h2>
https://user-images.githubusercontent.com/70048414/232352935-55c6bf7c-3958-406e-8610-0913475a0b05.mp4
Demo made by <a href=https://twitter.com/BlakeWerlinger>Blake Werlinger</a>
## 🚀 Features
- 🔌 Agent Protocol ([docs](https://agentprotocol.ai))
- 💻 Easy to use UI
- 🌐 Internet access for searches and information gathering
- 🧠 Powered by a mix of GPT-4 and GPT-3.5 Turbo
- 🔗 Access to popular websites and platforms
- 🗃️ File generation and editing capabilities
- 🔌 Extensibility with Plugins
<!-- - 💾 Long-term and short-term memory management -->
## Setting up AutoGPT
1. Get an OpenAI [API Key](https://platform.openai.com/account/api-keys)
2. Copy `.env.template` to `.env` and set `OPENAI_API_KEY`
3. Make sure you have Poetry [installed](https://python-poetry.org/docs/#installation)
For more ways to run AutoGPT, more detailed instructions, and more configuration options,
see the [setup guide][docs/setup].
## Running AutoGPT
The CLI should be self-documenting:
```shell
$ ./autogpt.sh --help
Usage: python -m autogpt [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
run Sets up and runs an agent, based on the task specified by the...
serve Starts an Agent Protocol compliant AutoGPT server, which creates...
```
When run without a sub-command, it will default to `run` for legacy reasons.
<details>
<summary>
<code>$ ./autogpt.sh run --help</code>
</summary>
The `run` sub-command starts AutoGPT with the legacy CLI interface:
```shell
$ ./autogpt.sh run --help
Usage: python -m autogpt run [OPTIONS]
Sets up and runs an agent, based on the task specified by the user, or
resumes an existing agent.
Options:
-c, --continuous Enable Continuous Mode
-y, --skip-reprompt Skips the re-prompting messages at the
beginning of the script
-l, --continuous-limit INTEGER Defines the number of times to run in
continuous mode
--speak Enable Speak Mode
--debug Enable Debug Mode
--skip-news Specifies whether to suppress the output of
latest news on startup.
--install-plugin-deps Installs external dependencies for 3rd party
plugins.
--ai-name TEXT AI name override
--ai-role TEXT AI role override
--constraint TEXT Add or override AI constraints to include in
the prompt; may be used multiple times to
pass multiple constraints
--resource TEXT Add or override AI resources to include in
the prompt; may be used multiple times to
pass multiple resources
--best-practice TEXT Add or override AI best practices to include
in the prompt; may be used multiple times to
pass multiple best practices
--override-directives If specified, --constraint, --resource and
--best-practice will override the AI's
directives instead of being appended to them
--component-config-file TEXT Path to the json configuration file.
--help Show this message and exit.
```
</details>
<details>
<summary>
<code>$ ./autogpt.sh serve --help</code>
</summary>
The `serve` sub-command starts AutoGPT wrapped in an Agent Protocol server:
```shell
$ ./autogpt.sh serve --help
Usage: python -m autogpt serve [OPTIONS]
Starts an Agent Protocol compliant AutoGPT server, which creates a custom
agent for every task.
Options:
--debug Enable Debug Mode
--install-plugin-deps Installs external dependencies for 3rd party
plugins.
--help Show this message and exit.
```
</details>
With `serve`, the application exposes an Agent Protocol compliant API and serves a frontend,
by default on `http://localhost:8000`.
For more comprehensive instructions, see the [user guide][docs/usage].
[docs]: https://docs.agpt.co/autogpt
[docs/setup]: https://docs.agpt.co/autogpt/setup
[docs/usage]: https://docs.agpt.co/autogpt/usage
[docs/plugins]: https://docs.agpt.co/autogpt/plugins
## 📚 Resources
* 📔 AutoGPT [project wiki](https://github.com/Significant-Gravitas/AutoGPT/wiki)
* 🧮 AutoGPT [project kanban](https://github.com/orgs/Significant-Gravitas/projects/1)
* 🌃 AutoGPT [roadmap](https://github.com/orgs/Significant-Gravitas/projects/2)
## ⚠️ Limitations
This experiment aims to showcase the potential of GPT-4 but comes with some limitations:
1. Not a polished application or product, just an experiment
2. May not perform well in complex, real-world business scenarios. In fact, if it actually does, please share your results!
3. Quite expensive to run, so set and monitor your API key limits with OpenAI!
## 🛡 Disclaimer
This project, AutoGPT, is an experimental application and is provided "as-is" without any warranty, express or implied. By using this software, you agree to assume all risks associated with its use, including but not limited to data loss, system failure, or any other issues that may arise.
The developers and contributors of this project do not accept any responsibility or liability for any losses, damages, or other consequences that may occur as a result of using this software. You are solely responsible for any decisions and actions taken based on the information provided by AutoGPT.
**Please note that the use of the GPT-4 language model can be expensive due to its token usage.** By utilizing this project, you acknowledge that you are responsible for monitoring and managing your own token usage and the associated costs. It is highly recommended to check your OpenAI API usage regularly and set up any necessary limits or alerts to prevent unexpected charges.
As an autonomous experiment, AutoGPT may generate content or take actions that are not in line with real-world business practices or legal requirements. It is your responsibility to ensure that any actions or decisions made based on the output of this software comply with all applicable laws, regulations, and ethical standards. The developers and contributors of this project shall not be held responsible for any consequences arising from the use of this software.
By using AutoGPT, you agree to indemnify, defend, and hold harmless the developers, contributors, and any affiliated parties from and against any and all claims, damages, losses, liabilities, costs, and expenses (including reasonable attorneys' fees) arising from your use of this software or your violation of these terms.
---
In Q2 of 2023, AutoGPT became the fastest growing open-source project in history. Now that the dust has settled, we're committed to continued sustainable development and growth of the project.
<p align="center">
<a href="https://star-history.com/#Significant-Gravitas/AutoGPT&Date">
<img src="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date" alt="Star History Chart">
</a>
</p>

29
autogpt/autogpt.sh Executable file
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@@ -0,0 +1,29 @@
#!/usr/bin/env bash
function find_python_command() {
if command -v python3 &> /dev/null
then
echo "python3"
elif command -v python &> /dev/null
then
echo "python"
else
echo "Python not found. Please install Python."
exit 1
fi
}
PYTHON_CMD=$(find_python_command)
if $PYTHON_CMD -c "import sys; sys.exit(sys.version_info < (3, 10))"; then
if ! $PYTHON_CMD scripts/check_requirements.py; then
echo
poetry install --without dev
echo
echo "Finished installing packages! Starting AutoGPT..."
echo
fi
poetry run autogpt "$@"
else
echo "Python 3.10 or higher is required to run Auto GPT."
fi

View File

@@ -4,7 +4,6 @@ from forge.config.ai_directives import AIDirectives
from forge.config.ai_profile import AIProfile
from forge.file_storage.base import FileStorage
from forge.llm.providers import MultiProvider
from forge.permissions import CommandPermissionManager
from autogpt.agents.agent import Agent, AgentConfiguration, AgentSettings
from autogpt.app.config import AppConfig
@@ -18,7 +17,6 @@ def create_agent(
llm_provider: MultiProvider,
ai_profile: Optional[AIProfile] = None,
directives: Optional[AIDirectives] = None,
permission_manager: Optional[CommandPermissionManager] = None,
) -> Agent:
if not task:
raise ValueError("No task specified for new agent")
@@ -33,7 +31,6 @@ def create_agent(
app_config=app_config,
file_storage=file_storage,
llm_provider=llm_provider,
permission_manager=permission_manager,
)
return agent
@@ -44,14 +41,12 @@ def configure_agent_with_state(
app_config: AppConfig,
file_storage: FileStorage,
llm_provider: MultiProvider,
permission_manager: Optional[CommandPermissionManager] = None,
) -> Agent:
return _configure_agent(
state=state,
app_config=app_config,
file_storage=file_storage,
llm_provider=llm_provider,
permission_manager=permission_manager,
)
@@ -64,7 +59,6 @@ def _configure_agent(
ai_profile: Optional[AIProfile] = None,
directives: Optional[AIDirectives] = None,
state: Optional[AgentSettings] = None,
permission_manager: Optional[CommandPermissionManager] = None,
) -> Agent:
if state:
agent_state = state
@@ -87,7 +81,6 @@ def _configure_agent(
llm_provider=llm_provider,
file_storage=file_storage,
app_config=app_config,
permission_manager=permission_manager,
)
@@ -109,6 +102,7 @@ def create_agent_state(
fast_llm=app_config.fast_llm,
smart_llm=app_config.smart_llm,
allow_fs_access=not app_config.restrict_to_workspace,
use_functions_api=app_config.openai_functions,
),
history=Agent.default_settings.history.model_copy(deep=True),
)

View File

@@ -0,0 +1,37 @@
# 🤖 Agents
Agent is composed of [🧩 Components](./components.md) and responsible for executing pipelines and some additional logic. The base class for all agents is `BaseAgent`, it has the necessary logic to collect components and execute protocols.
## Important methods
`BaseAgent` provides two abstract methods needed for any agent to work properly:
1. `propose_action`: This method is responsible for proposing an action based on the current state of the agent, it returns `ThoughtProcessOutput`.
2. `execute`: This method is responsible for executing the proposed action, returns `ActionResult`.
## AutoGPT Agent
`Agent` is the main agent provided by AutoGPT. It's a subclass of `BaseAgent`. It has all the [Built-in Components](./built-in-components.md). `Agent` implements the essential abstract methods from `BaseAgent`: `propose_action` and `execute`.
## Building your own Agent
The easiest way to build your own agent is to extend the `Agent` class and add additional components. By doing this you can reuse the existing components and the default logic for executing [⚙️ Protocols](./protocols.md).
```py
class MyComponent(AgentComponent):
pass
class MyAgent(Agent):
def __init__(
self,
settings: AgentSettings,
llm_provider: MultiProvider
file_storage: FileStorage,
app_config: AppConfig,
):
# Call the parent constructor to bring in the default components
super().__init__(settings, llm_provider, file_storage, app_config)
# Add your custom component
self.my_component = MyComponent()
```
For more customization, you can override the `propose_action` and `execute` or even subclass `BaseAgent` directly. This way you can have full control over the agent's components and behavior. Have a look at the [implementation of Agent](https://github.com/Significant-Gravitas/AutoGPT/tree/master/autogpt/autogpt/agents/agent.py) for more details.

View File

@@ -0,0 +1,313 @@
from __future__ import annotations
import inspect
import logging
from typing import TYPE_CHECKING, Any, ClassVar, Optional
import sentry_sdk
from forge.agent.base import BaseAgent, BaseAgentConfiguration, BaseAgentSettings
from forge.agent.protocols import (
AfterExecute,
AfterParse,
CommandProvider,
DirectiveProvider,
MessageProvider,
)
from forge.command.command import Command
from forge.components.action_history import (
ActionHistoryComponent,
EpisodicActionHistory,
)
from forge.components.action_history.action_history import ActionHistoryConfiguration
from forge.components.code_executor.code_executor import (
CodeExecutorComponent,
CodeExecutorConfiguration,
)
from forge.components.context.context import AgentContext, ContextComponent
from forge.components.file_manager import FileManagerComponent
from forge.components.git_operations import GitOperationsComponent
from forge.components.image_gen import ImageGeneratorComponent
from forge.components.system import SystemComponent
from forge.components.user_interaction import UserInteractionComponent
from forge.components.watchdog import WatchdogComponent
from forge.components.web import WebSearchComponent, WebSeleniumComponent
from forge.file_storage.base import FileStorage
from forge.llm.prompting.schema import ChatPrompt
from forge.llm.prompting.utils import dump_prompt
from forge.llm.providers import (
AssistantFunctionCall,
ChatMessage,
ChatModelResponse,
MultiProvider,
)
from forge.llm.providers.utils import function_specs_from_commands
from forge.models.action import (
ActionErrorResult,
ActionInterruptedByHuman,
ActionResult,
ActionSuccessResult,
)
from forge.models.config import Configurable
from forge.utils.exceptions import (
AgentException,
AgentTerminated,
CommandExecutionError,
UnknownCommandError,
)
from pydantic import Field
from .prompt_strategies.one_shot import (
OneShotAgentActionProposal,
OneShotAgentPromptStrategy,
)
if TYPE_CHECKING:
from autogpt.app.config import AppConfig
logger = logging.getLogger(__name__)
class AgentConfiguration(BaseAgentConfiguration):
pass
class AgentSettings(BaseAgentSettings):
config: AgentConfiguration = Field( # type: ignore
default_factory=AgentConfiguration
)
history: EpisodicActionHistory[OneShotAgentActionProposal] = Field(
default_factory=EpisodicActionHistory[OneShotAgentActionProposal]
)
"""(STATE) The action history of the agent."""
context: AgentContext = Field(default_factory=AgentContext)
class Agent(BaseAgent[OneShotAgentActionProposal], Configurable[AgentSettings]):
default_settings: ClassVar[AgentSettings] = AgentSettings(
name="Agent",
description=__doc__ if __doc__ else "",
)
def __init__(
self,
settings: AgentSettings,
llm_provider: MultiProvider,
file_storage: FileStorage,
app_config: AppConfig,
):
super().__init__(settings)
self.llm_provider = llm_provider
prompt_config = OneShotAgentPromptStrategy.default_configuration.model_copy(
deep=True
)
prompt_config.use_functions_api = (
settings.config.use_functions_api
# Anthropic currently doesn't support tools + prefilling :(
and self.llm.provider_name != "anthropic"
)
self.prompt_strategy = OneShotAgentPromptStrategy(prompt_config, logger)
self.commands: list[Command] = []
# Components
self.system = SystemComponent()
self.history = (
ActionHistoryComponent(
settings.history,
lambda x: self.llm_provider.count_tokens(x, self.llm.name),
llm_provider,
ActionHistoryConfiguration(
llm_name=app_config.fast_llm, max_tokens=self.send_token_limit
),
)
.run_after(WatchdogComponent)
.run_after(SystemComponent)
)
if not app_config.noninteractive_mode:
self.user_interaction = UserInteractionComponent()
self.file_manager = FileManagerComponent(file_storage, settings)
self.code_executor = CodeExecutorComponent(
self.file_manager.workspace,
CodeExecutorConfiguration(
docker_container_name=f"{settings.agent_id}_sandbox"
),
)
self.git_ops = GitOperationsComponent()
self.image_gen = ImageGeneratorComponent(self.file_manager.workspace)
self.web_search = WebSearchComponent()
self.web_selenium = WebSeleniumComponent(
llm_provider,
app_config.app_data_dir,
)
self.context = ContextComponent(self.file_manager.workspace, settings.context)
self.watchdog = WatchdogComponent(settings.config, settings.history).run_after(
ContextComponent
)
self.event_history = settings.history
self.app_config = app_config
async def propose_action(self) -> OneShotAgentActionProposal:
"""Proposes the next action to execute, based on the task and current state.
Returns:
The command name and arguments, if any, and the agent's thoughts.
"""
self.reset_trace()
# Get directives
resources = await self.run_pipeline(DirectiveProvider.get_resources)
constraints = await self.run_pipeline(DirectiveProvider.get_constraints)
best_practices = await self.run_pipeline(DirectiveProvider.get_best_practices)
directives = self.state.directives.model_copy(deep=True)
directives.resources += resources
directives.constraints += constraints
directives.best_practices += best_practices
# Get commands
self.commands = await self.run_pipeline(CommandProvider.get_commands)
self._remove_disabled_commands()
# Get messages
messages = await self.run_pipeline(MessageProvider.get_messages)
include_os_info = (
self.code_executor.config.execute_local_commands
if hasattr(self, "code_executor")
else False
)
prompt: ChatPrompt = self.prompt_strategy.build_prompt(
messages=messages,
task=self.state.task,
ai_profile=self.state.ai_profile,
ai_directives=directives,
commands=function_specs_from_commands(self.commands),
include_os_info=include_os_info,
)
logger.debug(f"Executing prompt:\n{dump_prompt(prompt)}")
output = await self.complete_and_parse(prompt)
self.config.cycle_count += 1
return output
async def complete_and_parse(
self, prompt: ChatPrompt, exception: Optional[Exception] = None
) -> OneShotAgentActionProposal:
if exception:
prompt.messages.append(ChatMessage.system(f"Error: {exception}"))
response: ChatModelResponse[
OneShotAgentActionProposal
] = await self.llm_provider.create_chat_completion(
prompt.messages,
model_name=self.llm.name,
completion_parser=self.prompt_strategy.parse_response_content,
functions=prompt.functions,
prefill_response=prompt.prefill_response,
)
result = response.parsed_result
await self.run_pipeline(AfterParse.after_parse, result)
return result
async def execute(
self,
proposal: OneShotAgentActionProposal,
user_feedback: str = "",
) -> ActionResult:
tool = proposal.use_tool
# Get commands
self.commands = await self.run_pipeline(CommandProvider.get_commands)
self._remove_disabled_commands()
try:
return_value = await self._execute_tool(tool)
result = ActionSuccessResult(outputs=return_value)
except AgentTerminated:
raise
except AgentException as e:
result = ActionErrorResult.from_exception(e)
logger.warning(f"{tool} raised an error: {e}")
sentry_sdk.capture_exception(e)
result_tlength = self.llm_provider.count_tokens(str(result), self.llm.name)
if result_tlength > self.send_token_limit // 3:
result = ActionErrorResult(
reason=f"Command {tool.name} returned too much output. "
"Do not execute this command again with the same arguments."
)
await self.run_pipeline(AfterExecute.after_execute, result)
logger.debug("\n".join(self.trace))
return result
async def do_not_execute(
self, denied_proposal: OneShotAgentActionProposal, user_feedback: str
) -> ActionResult:
result = ActionInterruptedByHuman(feedback=user_feedback)
await self.run_pipeline(AfterExecute.after_execute, result)
logger.debug("\n".join(self.trace))
return result
async def _execute_tool(self, tool_call: AssistantFunctionCall) -> Any:
"""Execute the command and return the result
Args:
tool_call (AssistantFunctionCall): The tool call to execute
Returns:
str: The execution result
"""
# Execute a native command with the same name or alias, if it exists
command = self._get_command(tool_call.name)
try:
result = command(**tool_call.arguments)
if inspect.isawaitable(result):
return await result
return result
except AgentException:
raise
except Exception as e:
raise CommandExecutionError(str(e))
def _get_command(self, command_name: str) -> Command:
for command in reversed(self.commands):
if command_name in command.names:
return command
raise UnknownCommandError(
f"Cannot execute command '{command_name}': unknown command."
)
def _remove_disabled_commands(self) -> None:
self.commands = [
command
for command in self.commands
if not any(
name in self.app_config.disabled_commands for name in command.names
)
]
def find_obscured_commands(self) -> list[Command]:
seen_names = set()
obscured_commands = []
for command in reversed(self.commands):
# If all of the command's names have been seen, it's obscured
if seen_names.issuperset(command.names):
obscured_commands.append(command)
else:
seen_names.update(command.names)
return list(reversed(obscured_commands))

View File

@@ -73,7 +73,7 @@ class OneShotAgentPromptConfiguration(SystemConfiguration):
choose_action_instruction: str = UserConfigurable(
default=DEFAULT_CHOOSE_ACTION_INSTRUCTION
)
use_prefill: bool = True
use_functions_api: bool = UserConfigurable(default=False)
#########
# State #
@@ -134,8 +134,8 @@ class OneShotAgentPromptStrategy(PromptStrategy):
*messages,
final_instruction_msg,
],
prefill_response=response_prefill if self.config.use_prefill else "",
functions=commands,
prefill_response=response_prefill,
functions=commands if self.config.use_functions_api else [],
)
def build_system_prompt(
@@ -152,7 +152,9 @@ class OneShotAgentPromptStrategy(PromptStrategy):
str: The system prompt body
str: The desired start for the LLM's response; used to steer the output
"""
response_fmt_instruction, response_prefill = self.response_format_instruction()
response_fmt_instruction, response_prefill = self.response_format_instruction(
self.config.use_functions_api
)
system_prompt_parts = (
self._generate_intro_prompt(ai_profile)
+ (self._generate_os_info() if include_os_info else [])
@@ -179,11 +181,10 @@ class OneShotAgentPromptStrategy(PromptStrategy):
response_prefill,
)
def response_format_instruction(self) -> tuple[str, str]:
def response_format_instruction(self, use_functions_api: bool) -> tuple[str, str]:
response_schema = self.response_schema.model_copy(deep=True)
assert response_schema.properties
# use_tool comes from tool_calls, so remove from JSON schema
if "use_tool" in response_schema.properties:
if use_functions_api and "use_tool" in response_schema.properties:
del response_schema.properties["use_tool"]
# Unindent for performance
@@ -198,7 +199,7 @@ class OneShotAgentPromptStrategy(PromptStrategy):
(
f"YOU MUST ALWAYS RESPOND WITH A JSON OBJECT OF THE FOLLOWING TYPE:\n"
f"{response_format}"
"\n\nYOU MUST ALSO INVOKE A TOOL!"
+ ("\n\nYOU MUST ALSO INVOKE A TOOL!" if use_functions_api else "")
),
response_prefill,
)
@@ -268,13 +269,13 @@ class OneShotAgentPromptStrategy(PromptStrategy):
"Parsing object extracted from LLM response:\n"
f"{json.dumps(assistant_reply_dict, indent=4)}"
)
# Always expect tool calls - native tool calling is always enabled
if not response.tool_calls:
raise InvalidAgentResponseError("Assistant did not use a tool")
assistant_reply_dict["use_tool"] = response.tool_calls[0].function
if self.config.use_functions_api:
if not response.tool_calls:
raise InvalidAgentResponseError("Assistant did not use a tool")
assistant_reply_dict["use_tool"] = response.tool_calls[0].function
parsed_response = OneShotAgentActionProposal.model_validate(
assistant_reply_dict
)
parsed_response.raw_message = response.model_copy()
parsed_response.raw_message = response.copy()
return parsed_response

View File

@@ -0,0 +1,6 @@
from dotenv import load_dotenv
# Load the users .env file into environment variables
load_dotenv(verbose=True, override=True)
del load_dotenv

View File

@@ -97,9 +97,7 @@ class AgentProtocolServer:
app.include_router(router, prefix="/ap/v1")
script_dir = os.path.dirname(os.path.realpath(__file__))
frontend_path = (
pathlib.Path(script_dir)
.joinpath("../../../classic/frontend/build/web")
.resolve()
pathlib.Path(script_dir).joinpath("../../../frontend/build/web").resolve()
)
if os.path.exists(frontend_path):
@@ -299,15 +297,7 @@ class AgentProtocolServer:
if last_proposal and last_proposal.use_tool.name != ASK_COMMAND
else ""
)
# Get speak text if available, otherwise use summary or string representation
thoughts = assistant_response.thoughts
if isinstance(thoughts, str):
thoughts_output = thoughts
elif hasattr(thoughts, "speak"):
thoughts_output = thoughts.speak # type: ignore[union-attr]
else:
thoughts_output = thoughts.summary()
output += f"{thoughts_output}\n\n"
output += f"{assistant_response.thoughts.speak}\n\n"
output += (
f"Next Command: {next_tool_to_use}"
if next_tool_to_use.name != ASK_COMMAND

216
autogpt/autogpt/app/cli.py Normal file
View File

@@ -0,0 +1,216 @@
"""Main script for the autogpt package."""
from logging import _nameToLevel as logLevelMap
from pathlib import Path
from typing import Optional
import click
from forge.logging.config import LogFormatName
from .telemetry import setup_telemetry
@click.group(invoke_without_command=True)
@click.pass_context
def cli(ctx: click.Context):
setup_telemetry()
# Invoke `run` by default
if ctx.invoked_subcommand is None:
ctx.invoke(run)
@cli.command()
@click.option("-c", "--continuous", is_flag=True, help="Enable Continuous Mode")
@click.option(
"-l",
"--continuous-limit",
type=int,
help="Defines the number of times to run in continuous mode",
)
@click.option("--speak", is_flag=True, help="Enable Speak Mode")
@click.option(
"--install-plugin-deps",
is_flag=True,
help="Installs external dependencies for 3rd party plugins.",
)
@click.option(
"--skip-news",
is_flag=True,
help="Specifies whether to suppress the output of latest news on startup.",
)
@click.option(
"--skip-reprompt",
"-y",
is_flag=True,
help="Skips the re-prompting messages at the beginning of the script",
)
@click.option(
"--ai-name",
type=str,
help="AI name override",
)
@click.option(
"--ai-role",
type=str,
help="AI role override",
)
@click.option(
"--constraint",
type=str,
multiple=True,
help=(
"Add or override AI constraints to include in the prompt;"
" may be used multiple times to pass multiple constraints"
),
)
@click.option(
"--resource",
type=str,
multiple=True,
help=(
"Add or override AI resources to include in the prompt;"
" may be used multiple times to pass multiple resources"
),
)
@click.option(
"--best-practice",
type=str,
multiple=True,
help=(
"Add or override AI best practices to include in the prompt;"
" may be used multiple times to pass multiple best practices"
),
)
@click.option(
"--override-directives",
is_flag=True,
help=(
"If specified, --constraint, --resource and --best-practice will override"
" the AI's directives instead of being appended to them"
),
)
@click.option(
"--debug", is_flag=True, help="Implies --log-level=DEBUG --log-format=debug"
)
@click.option("--log-level", type=click.Choice([*logLevelMap.keys()]))
@click.option(
"--log-format",
help=(
"Choose a log format; defaults to 'simple'."
" Also implies --log-file-format, unless it is specified explicitly."
" Using the 'structured_google_cloud' format disables log file output."
),
type=click.Choice([i.value for i in LogFormatName]),
)
@click.option(
"--log-file-format",
help=(
"Override the format used for the log file output."
" Defaults to the application's global --log-format."
),
type=click.Choice([i.value for i in LogFormatName]),
)
@click.option(
"--component-config-file",
help="Path to a json configuration file",
type=click.Path(exists=True, dir_okay=False, resolve_path=True, path_type=Path),
)
def run(
continuous: bool,
continuous_limit: Optional[int],
speak: bool,
install_plugin_deps: bool,
skip_news: bool,
skip_reprompt: bool,
ai_name: Optional[str],
ai_role: Optional[str],
resource: tuple[str],
constraint: tuple[str],
best_practice: tuple[str],
override_directives: bool,
debug: bool,
log_level: Optional[str],
log_format: Optional[str],
log_file_format: Optional[str],
component_config_file: Optional[Path],
) -> None:
"""
Sets up and runs an agent, based on the task specified by the user, or resumes an
existing agent.
"""
# Put imports inside function to avoid importing everything when starting the CLI
from autogpt.app.main import run_auto_gpt
run_auto_gpt(
continuous=continuous,
continuous_limit=continuous_limit,
skip_reprompt=skip_reprompt,
speak=speak,
debug=debug,
log_level=log_level,
log_format=log_format,
log_file_format=log_file_format,
skip_news=skip_news,
install_plugin_deps=install_plugin_deps,
override_ai_name=ai_name,
override_ai_role=ai_role,
resources=list(resource),
constraints=list(constraint),
best_practices=list(best_practice),
override_directives=override_directives,
component_config_file=component_config_file,
)
@cli.command()
@click.option(
"--install-plugin-deps",
is_flag=True,
help="Installs external dependencies for 3rd party plugins.",
)
@click.option(
"--debug", is_flag=True, help="Implies --log-level=DEBUG --log-format=debug"
)
@click.option("--log-level", type=click.Choice([*logLevelMap.keys()]))
@click.option(
"--log-format",
help=(
"Choose a log format; defaults to 'simple'."
" Also implies --log-file-format, unless it is specified explicitly."
" Using the 'structured_google_cloud' format disables log file output."
),
type=click.Choice([i.value for i in LogFormatName]),
)
@click.option(
"--log-file-format",
help=(
"Override the format used for the log file output."
" Defaults to the application's global --log-format."
),
type=click.Choice([i.value for i in LogFormatName]),
)
def serve(
install_plugin_deps: bool,
debug: bool,
log_level: Optional[str],
log_format: Optional[str],
log_file_format: Optional[str],
) -> None:
"""
Starts an Agent Protocol compliant AutoGPT server, which creates a custom agent for
every task.
"""
# Put imports inside function to avoid importing everything when starting the CLI
from autogpt.app.main import run_auto_gpt_server
run_auto_gpt_server(
debug=debug,
log_level=log_level,
log_format=log_format,
log_file_format=log_file_format,
install_plugin_deps=install_plugin_deps,
)
if __name__ == "__main__":
cli()

View File

@@ -0,0 +1,221 @@
"""Configuration class to store the state of bools for different scripts access."""
from __future__ import annotations
import logging
import os
import re
from pathlib import Path
from typing import Optional, Union
import forge
from forge.config.base import BaseConfig
from forge.llm.providers import CHAT_MODELS, ModelName
from forge.llm.providers.openai import OpenAICredentials, OpenAIModelName
from forge.logging.config import LoggingConfig
from forge.models.config import Configurable, UserConfigurable
from pydantic import SecretStr, ValidationInfo, field_validator
logger = logging.getLogger(__name__)
PROJECT_ROOT = Path(forge.__file__).parent.parent
AZURE_CONFIG_FILE = Path("azure.yaml")
GPT_4_MODEL = OpenAIModelName.GPT4
GPT_3_MODEL = OpenAIModelName.GPT3
class AppConfig(BaseConfig):
name: str = "Auto-GPT configuration"
description: str = "Default configuration for the Auto-GPT application."
########################
# Application Settings #
########################
project_root: Path = PROJECT_ROOT
app_data_dir: Path = project_root / "data"
skip_news: bool = False
skip_reprompt: bool = False
authorise_key: str = UserConfigurable(default="y", from_env="AUTHORISE_COMMAND_KEY")
exit_key: str = UserConfigurable(default="n", from_env="EXIT_KEY")
noninteractive_mode: bool = False
logging: LoggingConfig = LoggingConfig()
component_config_file: Optional[Path] = UserConfigurable(
default=None, from_env="COMPONENT_CONFIG_FILE"
)
##########################
# Agent Control Settings #
##########################
# Model configuration
fast_llm: ModelName = UserConfigurable(
default=OpenAIModelName.GPT3,
from_env="FAST_LLM",
)
smart_llm: ModelName = UserConfigurable(
default=OpenAIModelName.GPT4_TURBO,
from_env="SMART_LLM",
)
temperature: float = UserConfigurable(default=0, from_env="TEMPERATURE")
openai_functions: bool = UserConfigurable(
default=False, from_env=lambda: os.getenv("OPENAI_FUNCTIONS", "False") == "True"
)
embedding_model: str = UserConfigurable(
default="text-embedding-3-small", from_env="EMBEDDING_MODEL"
)
# Run loop configuration
continuous_mode: bool = False
continuous_limit: int = 0
############
# Commands #
############
# General
disabled_commands: list[str] = UserConfigurable(
default_factory=list,
from_env=lambda: _safe_split(os.getenv("DISABLED_COMMANDS")),
)
# File ops
restrict_to_workspace: bool = UserConfigurable(
default=True,
from_env=lambda: os.getenv("RESTRICT_TO_WORKSPACE", "True") == "True",
)
###############
# Credentials #
###############
# OpenAI
openai_credentials: Optional[OpenAICredentials] = None
azure_config_file: Optional[Path] = UserConfigurable(
default=AZURE_CONFIG_FILE, from_env="AZURE_CONFIG_FILE"
)
@field_validator("openai_functions")
def validate_openai_functions(cls, value: bool, info: ValidationInfo):
if value:
smart_llm = info.data["smart_llm"]
assert CHAT_MODELS[smart_llm].has_function_call_api, (
f"Model {smart_llm} does not support tool calling. "
"Please disable OPENAI_FUNCTIONS or choose a suitable model."
)
return value
class ConfigBuilder(Configurable[AppConfig]):
default_settings = AppConfig()
@classmethod
def build_config_from_env(cls, project_root: Path = PROJECT_ROOT) -> AppConfig:
"""Initialize the Config class"""
config = cls.build_agent_configuration()
config.project_root = project_root
# Make relative paths absolute
for k in {
"azure_config_file", # TODO: move from project root
}:
setattr(config, k, project_root / getattr(config, k))
if (
config.openai_credentials
and config.openai_credentials.api_type == SecretStr("azure")
and (config_file := config.azure_config_file)
):
config.openai_credentials.load_azure_config(config_file)
return config
async def assert_config_has_required_llm_api_keys(config: AppConfig) -> None:
"""
Check if API keys (if required) are set for the configured SMART_LLM and FAST_LLM.
"""
from forge.llm.providers.anthropic import AnthropicModelName
from forge.llm.providers.groq import GroqModelName
from pydantic import ValidationError
if set((config.smart_llm, config.fast_llm)).intersection(AnthropicModelName):
from forge.llm.providers.anthropic import AnthropicCredentials
try:
credentials = AnthropicCredentials.from_env()
except ValidationError as e:
if "api_key" in str(e):
logger.error(
"Set your Anthropic API key in .env or as an environment variable"
)
logger.info(
"For further instructions: "
"https://docs.agpt.co/autogpt/setup/#anthropic"
)
raise ValueError("Anthropic is unavailable: can't load credentials") from e
key_pattern = r"^sk-ant-api03-[\w\-]{95}"
# If key is set, but it looks invalid
if not re.search(key_pattern, credentials.api_key.get_secret_value()):
logger.warning(
"Possibly invalid Anthropic API key! "
f"Configured Anthropic API key does not match pattern '{key_pattern}'. "
"If this is a valid key, please report this warning to the maintainers."
)
if set((config.smart_llm, config.fast_llm)).intersection(GroqModelName):
from forge.llm.providers.groq import GroqProvider
from groq import AuthenticationError
try:
groq = GroqProvider()
await groq.get_available_models()
except ValidationError as e:
if "api_key" not in str(e):
raise
logger.error("Set your Groq API key in .env or as an environment variable")
logger.info(
"For further instructions: https://docs.agpt.co/autogpt/setup/#groq"
)
raise ValueError("Groq is unavailable: can't load credentials")
except AuthenticationError as e:
logger.error("The Groq API key is invalid!")
logger.info(
"For instructions to get and set a new API key: "
"https://docs.agpt.co/autogpt/setup/#groq"
)
raise ValueError("Groq is unavailable: invalid API key") from e
if set((config.smart_llm, config.fast_llm)).intersection(OpenAIModelName):
from forge.llm.providers.openai import OpenAIProvider
from openai import AuthenticationError
try:
openai = OpenAIProvider()
await openai.get_available_models()
except ValidationError as e:
if "api_key" not in str(e):
raise
logger.error(
"Set your OpenAI API key in .env or as an environment variable"
)
logger.info(
"For further instructions: https://docs.agpt.co/autogpt/setup/#openai"
)
raise ValueError("OpenAI is unavailable: can't load credentials")
except AuthenticationError as e:
logger.error("The OpenAI API key is invalid!")
logger.info(
"For instructions to get and set a new API key: "
"https://docs.agpt.co/autogpt/setup/#openai"
)
raise ValueError("OpenAI is unavailable: invalid API key") from e
def _safe_split(s: Union[str, None], sep: str = ",") -> list[str]:
"""Split a string by a separator. Return an empty list if the string is None."""
if s is None:
return []
return s.split(sep)

View File

@@ -0,0 +1,77 @@
"""Configurator module."""
from __future__ import annotations
import logging
from typing import Literal, Optional
import click
from forge.llm.providers import ModelName, MultiProvider
from autogpt.app.config import GPT_3_MODEL, AppConfig
logger = logging.getLogger(__name__)
async def apply_overrides_to_config(
config: AppConfig,
continuous: bool = False,
continuous_limit: Optional[int] = None,
skip_reprompt: bool = False,
skip_news: bool = False,
) -> None:
"""Updates the config object with the given arguments.
Args:
config (Config): The config object to update.
continuous (bool): Whether to run in continuous mode.
continuous_limit (int): The number of times to run in continuous mode.
skip_reprompt (bool): Whether to skip the re-prompting messages on start.
speak (bool): Whether to enable speak mode.
debug (bool): Whether to enable debug mode.
log_level (int): The global log level for the application.
log_format (str): The format for the log(s).
log_file_format (str): Override the format for the log file.
skips_news (bool): Whether to suppress the output of latest news on startup.
"""
config.continuous_mode = False
if continuous:
logger.warning(
"Continuous mode is not recommended. It is potentially dangerous and may"
" cause your AI to run forever or carry out actions you would not usually"
" authorise. Use at your own risk.",
)
config.continuous_mode = True
if continuous_limit:
config.continuous_limit = continuous_limit
# Check if continuous limit is used without continuous mode
if continuous_limit and not continuous:
raise click.UsageError("--continuous-limit can only be used with --continuous")
# Check availability of configured LLMs; fallback to other LLM if unavailable
config.fast_llm = await check_model(config.fast_llm, "fast_llm")
config.smart_llm = await check_model(config.smart_llm, "smart_llm")
if skip_reprompt:
config.skip_reprompt = True
if skip_news:
config.skip_news = True
async def check_model(
model_name: ModelName, model_type: Literal["smart_llm", "fast_llm"]
) -> ModelName:
"""Check if model is available for use. If not, return gpt-3.5-turbo."""
multi_provider = MultiProvider()
models = await multi_provider.get_available_chat_models()
if any(model_name == m.name for m in models):
return model_name
logger.warning(
f"You don't have access to {model_name}. Setting {model_type} to {GPT_3_MODEL}."
)
return GPT_3_MODEL

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