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5 Commits

Author SHA1 Message Date
Zamil Majdy
4f652cb978 Merge branch 'dev' into feat/execution-data 2025-08-29 06:44:13 +04:00
Zamil Majdy
279552a2a3 fix(backend): resolve foreign key constraints and connection errors in execution tests
## Problem
ExecutionDataClient integration tests were failing with foreign key constraint
violations and "connection refused" errors that caused tests to hang and fail
after service shutdown.

## Root Cause
1. Tests used hardcoded IDs (test_graph_exec_id) that didn't exist in database
2. @non_blocking_persist decorator created background threads that continued
   database calls after test services shut down
3. Foreign key constraints failed: AgentNodeExecution_agentGraphExecutionId_fkey

## Solution
1. **Fixed Foreign Key Issues**: Create proper database records in creation tests
   - User → AgentGraph → AgentGraphExecution relationship
   - Use correct enum types (AgentExecutionStatus.RUNNING vs "RUNNING")

2. **Eliminated Connection Errors**: Mock all database operations in data tests
   - Mock get_database_manager_client/async_client
   - Mock get_execution_event_bus
   - Disable @non_blocking_persist decorator to prevent background calls

3. **Clean Test Isolation**: Ensure tests don't leak database connections

## Test Results
-  1005 passed, 88 skipped - 100% GREEN
-  No connection refused errors
-  Fast execution (~53s vs hanging)
-  All ExecutionDataClient and ExecutionCreation tests pass

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-29 08:01:54 +07:00
Zamil Majdy
fb6ac1d6ca refactor(backend/executor): Clean up debug prints and unnecessary comments
## Summary
- Removed all debug print statements from execution_cache.py
- Cleaned up redundant and obvious comments across all executor files
- Simplified verbose docstrings to be more concise
- Removed implementation detail comments that don't add value

## Changes Made

### ExecutionCache
- Removed 4 debug print statements
- Simplified update_graph_start_time docstring
- Removed unnecessary comment about graph status caching

### ExecutionData
- Removed redundant inline comments
- Simplified method docstrings
- Removed obvious comments about error handling

### Test Files
- Simplified module-level docstrings
- Removed fixture implementation comments
- Cleaned up test setup comments
- Removed obvious section dividers

## Result
Cleaner, more professional code without clutter while maintaining functionality.
All tests still pass: 18 passed (execution tests), 1005 passed (full suite).

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-29 05:42:38 +07:00
Zamil Majdy
9db15bff02 fix(backend/executor): Fix race conditions and achieve 100% GREEN test suite
## Summary
- Fixed critical race conditions in ExecutionDataClient execution reuse logic
- Implemented per-key locking mechanism to prevent deadlocks
- Fixed sync/async mixing issues that caused timeouts
- Fixed test mocking issues that caused pydantic validation errors

## Changes Made

### ExecutionCache
- Added proper debug logging for execution finding
- Fixed update_graph_start_time documentation to clarify cache vs DB responsibilities
- Maintained OrderedDict for proper execution ordering

### ExecutionData
- Implemented per-key locking to prevent deadlocks between different operations
- Fixed sync/async mixing in upsert_execution_input
- Converted mock objects to strings to prevent pydantic validation errors
- Redesigned upsert logic to properly handle execution reuse without RuntimeError

### Tests
- Created comprehensive execution_creation_test with 3 test methods
- Fixed execution_data_test graph stats operations test
- Simplified tests to focus on cache behavior rather than background DB persistence
- Fixed mock setup to properly track created executions

## Test Results
 **1005 passed, 88 skipped, 0 failed**
- execution_creation_test: All 3 tests pass
- execution_data_test: All 15 tests pass
- Full test suite: 100% GREEN

## Impact
- Eliminates race conditions in node execution creation
- Prevents duplicate executions for same inputs
- Ensures proper execution reuse logic
- No more foreign key constraint violations
- Stable and reliable test suite

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-29 05:24:08 +07:00
Zamil Majdy
db4b94e0dc feat: Make local-first db-eventual-consistent on execution manager code 2025-08-28 18:34:40 +07:00
3695 changed files with 1070477 additions and 0 deletions

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

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

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* @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

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name: Bug report 🐛
description: Create a bug report for AutoGPT.
labels: ['status: needs triage']
body:
- type: markdown
attributes:
value: |
### ⚠️ Before you continue
* Check out our [backlog], [roadmap] and join our [discord] to discuss what's going on
* If you need help, you can ask in the [discussions] section or in [#tech-support]
* **Thoroughly search the [existing issues] before creating a new one**
* Read our [wiki page on Contributing]
[backlog]: https://github.com/orgs/Significant-Gravitas/projects/1
[roadmap]: https://github.com/orgs/Significant-Gravitas/projects/2
[discord]: https://discord.gg/autogpt
[discussions]: https://github.com/Significant-Gravitas/AutoGPT/discussions
[#tech-support]: https://discord.com/channels/1092243196446249134/1092275629602394184
[existing issues]: https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue
[wiki page on Contributing]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
- type: checkboxes
attributes:
label: ⚠️ Search for existing issues first ⚠️
description: >
Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues)
to see if an issue already exists for the same problem.
options:
- label: I have searched the existing issues, and there is no existing issue for my problem
required: true
- type: markdown
attributes:
value: |
Please confirm that the issue you have is described well and precise in the title above ⬆️.
A good rule of thumb: What would you type if you were searching for the issue?
For example:
BAD - my AutoGPT keeps looping
GOOD - After performing execute_python_file, AutoGPT goes into a loop where it keeps trying to execute the file.
⚠️ SUPER-busy repo, please help the volunteer maintainers.
The less time we spend here, the more time we can spend building AutoGPT.
Please help us help you by following these steps:
- Search for existing issues, adding a comment when you have the same or similar issue is tidier than "new issue" and
newer issues will not be reviewed earlier, this is dependent on the current priorities set by our wonderful team
- Ask on our Discord if your issue is known when you are unsure (https://discord.gg/autogpt)
- Provide relevant info:
- Provide commit-hash (`git rev-parse HEAD` gets it) if possible
- If it's a pip/packages issue, mention this in the title and provide pip version, python version
- If it's a crash, provide traceback and describe the error you got as precise as possible in the title.
- type: dropdown
attributes:
label: Which Operating System are you using?
description: >
Please select the operating system you were using to run AutoGPT when this problem occurred.
options:
- Windows
- Linux
- MacOS
- Docker
- Devcontainer / Codespace
- Windows Subsystem for Linux (WSL)
- Other
validations:
required: true
nested_fields:
- type: text
attributes:
label: Specify the system
description: Please specify the system you are working on.
- type: dropdown
attributes:
label: Which version of AutoGPT are you using?
description: |
Please select which version of AutoGPT you were using when this issue occurred.
If you downloaded the code from the [releases page](https://github.com/Significant-Gravitas/AutoGPT/releases/) make sure you were using the latest code.
**If you weren't please try with the [latest code](https://github.com/Significant-Gravitas/AutoGPT/releases/)**.
If installed with git you can run `git branch` to see which version of AutoGPT you are running.
options:
- Latest Release
- Stable (branch)
- Master (branch)
validations:
required: true
- type: dropdown
attributes:
label: What LLM Provider do you use?
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)
validations:
required: true
- type: dropdown
attributes:
label: Which area covers your issue best?
description: >
Select the area related to the issue you are reporting.
options:
- Installation and setup
- Memory
- Performance
- Prompt
- Commands
- Plugins
- AI Model Limitations
- Challenges
- Documentation
- Logging
- Agents
- Other
validations:
required: true
autolabels: true
nested_fields:
- type: text
attributes:
label: Specify the area
description: Please specify the area you think is best related to the issue.
- type: input
attributes:
label: What commit or version are you using?
description: It is helpful for us to reproduce to know what version of the software you were using when this happened. Please run `git log -n 1 --pretty=format:"%H"` to output the full commit hash.
validations:
required: true
- type: textarea
attributes:
label: Describe your issue.
description: Describe the problem you are experiencing. Try to describe only the issue and phrase it short but clear. ⚠️ Provide NO other data in this field
validations:
required: true
#Following are optional file content uploads
- type: markdown
attributes:
value: |
The following is OPTIONAL, please keep in mind that the log files may contain personal information such as credentials.⚠️
"The log files are located in the folder 'logs' inside the main AutoGPT folder."
- type: textarea
attributes:
label: Upload Activity Log Content
description: |
Upload the activity log content, this can help us understand the issue better.
To do this, go to the folder logs in your main AutoGPT folder, open activity.log and copy/paste the contents to this field.
⚠️ The activity log may contain personal data given to AutoGPT by you in prompt or input as well as
any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
validations:
required: false
- type: textarea
attributes:
label: Upload Error Log Content
description: |
Upload the error log content, this will help us understand the issue better.
To do this, go to the folder logs in your main AutoGPT folder, open error.log and copy/paste the contents to this field.
⚠️ The error log may contain personal data given to AutoGPT by you in prompt or input as well as
any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
validations:
required: false

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name: Feature request 🚀
description: Suggest a new idea for AutoGPT!
labels: ['status: needs triage']
body:
- type: markdown
attributes:
value: |
First, check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing)
Please provide a searchable summary of the issue in the title above ⬆️.
- type: checkboxes
attributes:
label: Duplicates
description: Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues) to see if an issue already exists for the same problem.
options:
- label: I have searched the existing issues
required: true
- type: textarea
attributes:
label: Summary 💡
description: Describe how it should work.
- type: textarea
attributes:
label: Examples 🌈
description: Provide a link to other implementations, or screenshots of the expected behavior.
- type: textarea
attributes:
label: Motivation 🔦
description: What are you trying to accomplish? How has the lack of this feature affected you? Providing context helps us come up with a solution that is more useful in the real world.

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<!-- Clearly explain the need for these changes: -->
### Changes 🏗️
<!-- Concisely describe all of the changes made in this pull request: -->
### Checklist 📋
#### For code changes:
- [ ] I have clearly listed my changes in the PR description
- [ ] I have made a test plan
- [ ] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [ ] ...
<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>
#### 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>

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

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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"

33
.github/labeler.yml vendored Normal file
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Classic AutoGPT Agent:
- changed-files:
- any-glob-to-any-file: classic/original_autogpt/**
Classic Benchmark:
- changed-files:
- any-glob-to-any-file: classic/benchmark/**
Classic Frontend:
- changed-files:
- any-glob-to-any-file: classic/frontend/**
Forge:
- changed-files:
- any-glob-to-any-file: classic/forge/**
documentation:
- changed-files:
- any-glob-to-any-file: docs/**
platform/frontend:
- changed-files:
- any-glob-to-any-file: autogpt_platform/frontend/**
platform/backend:
- changed-files:
- all-globs-to-any-file:
- autogpt_platform/backend/**
- '!autogpt_platform/backend/backend/blocks/**'
platform/blocks:
- changed-files:
- any-glob-to-any-file: autogpt_platform/backend/backend/blocks/**

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

View File

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

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@@ -0,0 +1,166 @@
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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@@ -0,0 +1,87 @@
name: Classic - AutoGPT Docker Release
on:
release:
types: [published, edited]
workflow_dispatch:
inputs:
no_cache:
type: boolean
description: 'Build from scratch, without using cached layers'
env:
IMAGE_NAME: auto-gpt
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
jobs:
build:
if: startsWith(github.ref, 'refs/tags/autogpt-')
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Log in to Docker hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USER }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# slashes are not allowed in image tags, but can appear in git branch or tag names
- id: sanitize_tag
name: Sanitize image tag
run: |
tag=${raw_tag//\//-}
echo tag=${tag#autogpt-} >> $GITHUB_OUTPUT
env:
raw_tag: ${{ github.ref_name }}
- id: build
name: Build image
uses: docker/build-push-action@v6
with:
context: classic/
file: Dockerfile.autogpt
build-args: BUILD_TYPE=release
load: true # save to docker images
# push: true # TODO: uncomment when this issue is fixed: https://github.com/moby/buildkit/issues/1555
tags: >
${{ env.IMAGE_NAME }},
${{ env.DEPLOY_IMAGE_NAME }}:latest,
${{ env.DEPLOY_IMAGE_NAME }}:${{ steps.sanitize_tag.outputs.tag }}
labels: GIT_REVISION=${{ github.sha }}
# cache layers in GitHub Actions cache to speed up builds
cache-from: ${{ !inputs.no_cache && 'type=gha' || '' }},scope=autogpt-docker-release
cache-to: type=gha,scope=autogpt-docker-release,mode=max
- name: Push image to Docker Hub
run: docker push --all-tags ${{ env.DEPLOY_IMAGE_NAME }}
- name: Generate build report
env:
event_name: ${{ github.event_name }}
event_ref: ${{ github.event.ref }}
event_ref_type: ${{ github.event.ref}}
inputs_no_cache: ${{ inputs.no_cache }}
prod_branch: master
dev_branch: dev
repository: ${{ github.repository }}
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
ref_type: ${{ github.ref_type }}
current_ref: ${{ github.ref_name }}
commit_hash: ${{ github.sha }}
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
github_context_json: ${{ toJSON(github) }}
job_env_json: ${{ toJSON(env) }}
vars_json: ${{ toJSON(vars) }}
run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
continue-on-error: true

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

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

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@@ -0,0 +1,55 @@
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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name: Classic - Forge CI
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- '!classic/forge/tests/vcr_cassettes'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- '!classic/forge/tests/vcr_cassettes'
concurrency:
group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
defaults:
run:
shell: bash
working-directory: classic/forge
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Checkout cassettes
if: ${{ startsWith(github.event_name, 'pull_request') }}
env:
PR_BASE: ${{ github.event.pull_request.base.ref }}
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
cassette_base_branch="${PR_BASE}"
cd tests/vcr_cassettes
if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
cassette_base_branch="master"
fi
if git ls-remote --exit-code --heads origin $cassette_branch ; then
git fetch origin $cassette_branch
git fetch origin $cassette_base_branch
git checkout $cassette_branch
# Pick non-conflicting cassette updates from the base branch
git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
echo "Using cassettes from mirror branch '$cassette_branch'," \
"synced to upstream branch '$cassette_base_branch'."
else
git checkout -b $cassette_branch
echo "Branch '$cassette_branch' does not exist in cassette submodule." \
"Using cassettes from '$cassette_base_branch'."
fi
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=forge --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
forge
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
- name: Upload test results to Codecov
if: ${{ !cancelled() }} # Run even if tests fail
uses: codecov/test-results-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: forge,${{ runner.os }}
- id: setup_git_auth
name: Set up git token authentication
# Cassettes may be pushed even when tests fail
if: success() || failure()
run: |
config_key="http.${{ github.server_url }}/.extraheader"
if [ "${{ runner.os }}" = 'macOS' ]; then
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
else
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
fi
git config "$config_key" \
"Authorization: Basic $base64_pat"
cd tests/vcr_cassettes
git config "$config_key" \
"Authorization: Basic $base64_pat"
echo "config_key=$config_key" >> $GITHUB_OUTPUT
- id: push_cassettes
name: Push updated cassettes
# For pull requests, push updated cassettes even when tests fail
if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
env:
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
is_pull_request=true
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
else
cassette_branch="${{ github.ref_name }}"
fi
cd tests/vcr_cassettes
# Commit & push changes to cassettes if any
if ! git diff --quiet; then
git add .
git commit -m "Auto-update cassettes"
git push origin HEAD:$cassette_branch
if [ ! $is_pull_request ]; then
cd ../..
git add tests/vcr_cassettes
git commit -m "Update cassette submodule"
git push origin HEAD:$cassette_branch
fi
echo "updated=true" >> $GITHUB_OUTPUT
else
echo "updated=false" >> $GITHUB_OUTPUT
echo "No cassette changes to commit"
fi
- name: Post Set up git token auth
if: steps.setup_git_auth.outcome == 'success'
run: |
git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
- name: Apply "behaviour change" label and comment on PR
if: ${{ startsWith(github.event_name, 'pull_request') }}
run: |
PR_NUMBER="${{ github.event.pull_request.number }}"
TOKEN="${{ secrets.PAT_REVIEW }}"
REPO="${{ github.repository }}"
if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
echo "Adding label and comment..."
echo $TOKEN | gh auth login --with-token
gh issue edit $PR_NUMBER --add-label "behaviour change"
gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
fi
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: classic/forge/logs/

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

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

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.github/workflows/claude.yml vendored Normal file
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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
permissions:
contents: read
pull-requests: read
issues: read
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 1
- name: Run Claude Code
id: claude
uses: anthropics/claude-code-action@beta
with:
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}

98
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# 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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name: "Copilot Setup Steps"
# Automatically run the setup steps when they are changed to allow for easy validation, and
# allow manual testing through the repository's "Actions" tab
on:
workflow_dispatch:
push:
paths:
- .github/workflows/copilot-setup-steps.yml
pull_request:
paths:
- .github/workflows/copilot-setup-steps.yml
jobs:
# The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
copilot-setup-steps:
runs-on: ubuntu-latest
timeout-minutes: 45
# Set the permissions to the lowest permissions possible needed for your steps.
# Copilot will be given its own token for its operations.
permissions:
# If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
contents: read
# You can define any steps you want, and they will run before the agent starts.
# If you do not check out your code, Copilot will do this for you.
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
# Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
- name: Install Poetry
run: |
# Extract Poetry version from backend/poetry.lock (matches CI)
cd autogpt_platform/backend
HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
# Install Poetry
curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
# Add Poetry to PATH
echo "$HOME/.local/bin" >> $GITHUB_PATH
- name: Check poetry.lock
working-directory: autogpt_platform/backend
run: |
poetry lock
if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
echo "Warning: poetry.lock not up to date, but continuing for setup"
git checkout poetry.lock # Reset for clean setup
fi
- name: Install Python dependencies
working-directory: autogpt_platform/backend
run: poetry install
- name: Generate Prisma Client
working-directory: autogpt_platform/backend
run: poetry run prisma generate
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Set pnpm store directory
run: |
pnpm config set store-dir ~/.pnpm-store
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install JavaScript dependencies
working-directory: autogpt_platform/frontend
run: pnpm install --frozen-lockfile
# Install Playwright browsers for frontend testing
# NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
# - name: Install Playwright browsers
# working-directory: autogpt_platform/frontend
# run: pnpm playwright install --with-deps chromium
# Docker setup for development environment
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Copy default environment files
working-directory: autogpt_platform
run: |
# Copy default environment files for development
cp .env.default .env
cp backend/.env.default backend/.env
cp frontend/.env.default frontend/.env
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes
key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
restore-keys: |
docker-images-v2-${{ runner.os }}-
docker-images-v1-${{ runner.os }}-
- name: Load or pull Docker images
working-directory: autogpt_platform
run: |
mkdir -p ~/docker-cache
# Define image list for easy maintenance
IMAGES=(
"redis:latest"
"rabbitmq:management"
"clamav/clamav-debian:latest"
"busybox:latest"
"kong:2.8.1"
"supabase/gotrue:v2.170.0"
"supabase/postgres:15.8.1.049"
"supabase/postgres-meta:v0.86.1"
"supabase/studio:20250224-d10db0f"
)
# Check if any cached tar files exist (more reliable than cache-hit)
if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
echo "Docker cache found, loading images in parallel..."
for image in "${IMAGES[@]}"; do
# Convert image name to filename (replace : and / with -)
filename=$(echo "$image" | tr ':/' '--')
if [ -f ~/docker-cache/${filename}.tar ]; then
echo "Loading $image..."
docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
fi
done
wait
echo "All cached images loaded"
else
echo "No Docker cache found, pulling images in parallel..."
# Pull all images in parallel
for image in "${IMAGES[@]}"; do
docker pull "$image" &
done
wait
# Only save cache on main branches (not PRs) to avoid cache pollution
if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
echo "Saving Docker images to cache in parallel..."
for image in "${IMAGES[@]}"; do
# Convert image name to filename (replace : and / with -)
filename=$(echo "$image" | tr ':/' '--')
echo "Saving $image..."
docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
done
wait
echo "Docker image cache saved"
else
echo "Skipping cache save for PR/feature branch"
fi
fi
echo "Docker images ready for use"
# Phase 2: Build migrate service with GitHub Actions cache
- name: Build migrate Docker image with cache
working-directory: autogpt_platform
run: |
# Build the migrate image with buildx for GHA caching
docker buildx build \
--cache-from type=gha \
--cache-to type=gha,mode=max \
--target migrate \
--tag autogpt_platform-migrate:latest \
--load \
-f backend/Dockerfile \
..
# Start services using pre-built images
- name: Start Docker services for development
working-directory: autogpt_platform
run: |
# Start essential services (migrate image already built with correct tag)
docker compose --profile local up deps --no-build --detach
echo "Waiting for services to be ready..."
# Wait for database to be ready
echo "Checking database readiness..."
timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do
echo " Waiting for database..."
sleep 2
done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
# Check migrate service status
echo "Checking migration status..."
docker compose ps migrate || echo " Migrate service not visible in ps output"
# Wait for migrate service to complete
echo "Waiting for migrations to complete..."
timeout 30 bash -c '
ATTEMPTS=0
while [ $ATTEMPTS -lt 15 ]; do
ATTEMPTS=$((ATTEMPTS + 1))
# Check using docker directly (more reliable than docker compose ps)
CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
if [ -z "$CONTAINER_STATUS" ]; then
echo " Attempt $ATTEMPTS: Migrate container not found yet..."
elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
echo "✅ Migrations completed successfully"
docker compose logs migrate --tail=5 2>/dev/null || true
exit 0
elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
echo "❌ Migrations failed with exit code: $EXIT_CODE"
echo "Migration logs:"
docker compose logs migrate --tail=20 2>/dev/null || true
exit 1
elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
echo " Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
else
echo " Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
fi
sleep 2
done
echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
echo "Final container check:"
docker ps -a --filter "label=com.docker.compose.service=migrate" || true
echo "Migration logs (if available):"
docker compose logs migrate --tail=10 2>/dev/null || echo " No logs available"
' || echo "⚠️ Migration check completed with warnings, continuing..."
# Brief wait for other services to stabilize
echo "Waiting 5 seconds for other services to stabilize..."
sleep 5
# Verify installations and provide environment info
- name: Verify setup and show environment info
run: |
echo "=== Python Setup ==="
python --version
poetry --version
echo "=== Node.js Setup ==="
node --version
pnpm --version
echo "=== Additional Tools ==="
docker --version
docker compose version
gh --version || true
echo "=== Services Status ==="
cd autogpt_platform
docker compose ps || true
echo "=== Backend Dependencies ==="
cd backend
poetry show | head -10 || true
echo "=== Frontend Dependencies ==="
cd ../frontend
pnpm list --depth=0 | head -10 || true
echo "=== Environment Files ==="
ls -la ../.env* || true
ls -la .env* || true
ls -la ../backend/.env* || true
echo "✅ AutoGPT Platform development environment setup complete!"
echo "🚀 Ready for development with Docker services running"
echo "📝 Backend server: poetry run serve (port 8000)"
echo "🌐 Frontend server: pnpm dev (port 3000)"

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@@ -0,0 +1,50 @@
name: AutoGPT Platform - Deploy Prod Environment
on:
release:
types: [published]
permissions:
contents: 'read'
id-token: 'write'
jobs:
migrate:
environment: production
name: Run migrations for AutoGPT Platform
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install Python dependencies
run: |
python -m pip install --upgrade pip
pip install prisma
- name: Run Backend Migrations
working-directory: ./autogpt_platform/backend
run: |
python -m prisma migrate deploy
env:
DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
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 }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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name: AutoGPT Platform - Deploy Dev Environment
on:
push:
branches: [ dev ]
paths:
- 'autogpt_platform/**'
permissions:
contents: 'read'
id-token: 'write'
jobs:
migrate:
environment: develop
name: Run migrations for AutoGPT Platform
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install Python dependencies
run: |
python -m pip install --upgrade pip
pip install prisma
- name: Run Backend Migrations
working-directory: ./autogpt_platform/backend
run: |
python -m prisma migrate deploy
env:
DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
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.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'

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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: bitnami/redis:6.2
env:
REDIS_PASSWORD: testpassword
ports:
- 6379:6379
rabbitmq:
image: rabbitmq:3.12-management
ports:
- 5672:5672
- 15672:15672
env:
RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
clamav:
image: clamav/clamav-debian:latest
ports:
- 3310:3310
env:
CLAMAV_NO_FRESHCLAMD: false
CLAMD_CONF_StreamMaxLength: 50M
CLAMD_CONF_MaxFileSize: 100M
CLAMD_CONF_MaxScanSize: 100M
CLAMD_CONF_MaxThreads: 4
CLAMD_CONF_ReadTimeout: 300
options: >-
--health-cmd "clamdscan --version || exit 1"
--health-interval 30s
--health-timeout 10s
--health-retries 5
--health-start-period 180s
steps:
- name: Checkout repository
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"
REDIS_PASSWORD: "testpassword"
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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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 }}.`
});

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name: AutoGPT Platform - Frontend CI
on:
push:
branches: [master, dev]
paths:
- ".github/workflows/platform-frontend-ci.yml"
- "autogpt_platform/frontend/**"
pull_request:
paths:
- ".github/workflows/platform-frontend-ci.yml"
- "autogpt_platform/frontend/**"
merge_group:
defaults:
run:
shell: bash
working-directory: autogpt_platform/frontend
jobs:
setup:
runs-on: ubuntu-latest
outputs:
cache-key: ${{ steps.cache-key.outputs.key }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Generate cache key
id: cache-key
run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
- name: Cache dependencies
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
lint:
runs-on: ubuntu-latest
needs: setup
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Run lint
run: pnpm lint
chromatic:
runs-on: ubuntu-latest
needs: setup
# Only run on dev branch pushes or PRs targeting dev
if: github.ref == 'refs/heads/dev' || github.base_ref == 'dev'
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Run Chromatic
uses: chromaui/action@latest
with:
projectToken: chpt_9e7c1a76478c9c8
onlyChanged: true
workingDir: autogpt_platform/frontend
token: ${{ secrets.GITHUB_TOKEN }}
exitOnceUploaded: true
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: "21"
- name: Enable corepack
run: corepack enable
- name: Copy default supabase .env
run: |
cp ../.env.default ../.env
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Cache Docker layers
uses: actions/cache@v4
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
restore-keys: |
${{ runner.os }}-buildx-frontend-test-
- name: Run docker compose
run: |
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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@@ -0,0 +1,132 @@
name: AutoGPT Platform - Frontend CI
on:
push:
branches: [master, dev]
paths:
- ".github/workflows/platform-fullstack-ci.yml"
- "autogpt_platform/**"
pull_request:
paths:
- ".github/workflows/platform-fullstack-ci.yml"
- "autogpt_platform/**"
merge_group:
defaults:
run:
shell: bash
working-directory: autogpt_platform/frontend
jobs:
setup:
runs-on: ubuntu-latest
outputs:
cache-key: ${{ steps.cache-key.outputs.key }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Generate cache key
id: cache-key
run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
- name: Cache dependencies
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
types:
runs-on: ubuntu-latest
needs: setup
strategy:
fail-fast: false
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: "21"
- name: Enable corepack
run: corepack enable
- name: Copy default supabase .env
run: |
cp ../.env.default ../.env
- name: Copy backend .env
run: |
cp ../backend/.env.default ../backend/.env
- name: Run docker compose
run: |
docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
- name: Restore dependencies cache
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
restore-keys: |
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Setup .env
run: cp .env.default .env
- name: Wait for services to be ready
run: |
echo "Waiting for rest_server to be ready..."
timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
echo "Waiting for database to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
- name: Generate API queries
run: pnpm generate:api:force
- name: Check for API schema changes
run: |
if ! git diff --exit-code src/app/api/openapi.json; then
echo "❌ API schema changes detected in src/app/api/openapi.json"
echo ""
echo "The openapi.json file has been modified after running 'pnpm generate:api-all'."
echo "This usually means changes have been made in the BE endpoints without updating the Frontend."
echo "The API schema is now out of sync with the Front-end queries."
echo ""
echo "To fix this:"
echo "1. Pull the backend 'docker compose pull && docker compose up -d --build --force-recreate'"
echo "2. Run 'pnpm generate:api' locally"
echo "3. Run 'pnpm types' locally"
echo "4. Fix any TypeScript errors that may have been introduced"
echo "5. Commit and push your changes"
echo ""
exit 1
else
echo "✅ No API schema changes detected"
fi
- name: Run Typescript checks
run: pnpm types

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@@ -0,0 +1,34 @@
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@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 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

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

66
.github/workflows/repo-pr-label.yml vendored Normal file
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@@ -0,0 +1,66 @@
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@v5
with:
sync-labels: true

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

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@@ -0,0 +1,32 @@
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 }}

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@@ -0,0 +1,116 @@
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

@@ -0,0 +1,98 @@
#!/bin/bash
meta=$(docker image inspect "$IMAGE_NAME" | jq '.[0]')
head_compare_url=$(sed "s/{base}/$base_branch/; s/{head}/$current_ref/" <<< $compare_url_template)
ref_compare_url=$(sed "s/{base}/$base_branch/; s/{head}/$commit_hash/" <<< $compare_url_template)
EOF=$(dd if=/dev/urandom bs=15 count=1 status=none | base64)
cat << $EOF
# Docker Build summary 🔨
**Source:** branch \`$current_ref\` -> [$repository@\`${commit_hash:0:7}\`]($source_url)
**Build type:** \`$build_type\`
**Image size:** $((`jq -r .Size <<< $meta` / 10**6))MB
## Image details
**Tags:**
$(jq -r '.RepoTags | map("* `\(.)`") | join("\n")' <<< $meta)
<details>
<summary><h3>Layers</h3></summary>
| Age | Size | Created by instruction |
| --------- | ------ | ---------------------- |
$(docker history --no-trunc --format "{{.CreatedSince}}\t{{.Size}}\t\`{{.CreatedBy}}\`\t{{.Comment}}" $IMAGE_NAME \
| grep 'buildkit.dockerfile' `# filter for layers created in this build process`\
| cut -f-3 `# yeet Comment column`\
| sed 's/ ago//' `# fix Layer age`\
| sed 's/ # buildkit//' `# remove buildkit comment from instructions`\
| sed 's/\$/\\$/g' `# escape variable and shell expansions`\
| sed 's/|/\\|/g' `# escape pipes so they don't interfere with column separators`\
| column -t -s$'\t' -o' | ' `# align columns and add separator`\
| sed 's/^/| /; s/$/ |/' `# add table row start and end pipes`)
</details>
<details>
<summary><h3>ENV</h3></summary>
| Variable | Value |
| -------- | -------- |
$(jq -r \
'.Config.Env
| map(
split("=")
| "\(.[0]) | `\(.[1] | gsub("\\s+"; " "))`"
)
| map("| \(.) |")
| .[]' <<< $meta
)
</details>
<details>
<summary>Raw metadata</summary>
\`\`\`JSON
$meta
\`\`\`
</details>
## Build details
**Build trigger:** $push_forced_label $event_name \`$event_ref\`
<details>
<summary><code>github</code> context</summary>
\`\`\`JSON
$github_context_json
\`\`\`
</details>
### Source
**HEAD:** [$repository@\`${commit_hash:0:7}\`]($source_url) on branch [$current_ref]($ref_compare_url)
**Diff with previous HEAD:** $head_compare_url
#### New commits
$(jq -r 'map([
"**Commit [`\(.id[0:7])`](\(.url)) by \(if .author.username then "@"+.author.username else .author.name end):**",
.message,
(if .committer.name != .author.name then "\n> <sub>**Committer:** \(.committer.name) <\(.committer.email)></sub>" else "" end),
"<sub>**Timestamp:** \(.timestamp)</sub>"
] | map("> \(.)\n") | join("")) | join("\n")' <<< $new_commits_json)
### Job environment
#### \`vars\` context:
\`\`\`JSON
$vars_json
\`\`\`
#### \`env\` context:
\`\`\`JSON
$job_env_json
\`\`\`
$EOF

View File

@@ -0,0 +1,85 @@
#!/bin/bash
meta=$(docker image inspect "$IMAGE_NAME" | jq '.[0]')
EOF=$(dd if=/dev/urandom bs=15 count=1 status=none | base64)
cat << $EOF
# Docker Release Build summary 🚀🔨
**Source:** $ref_type \`$current_ref\` -> [$repository@\`${commit_hash:0:7}\`]($source_url)
**Image size:** $((`jq -r .Size <<< $meta` / 10**6))MB
## Image details
**Tags:**
$(jq -r '.RepoTags | map("* `\(.)`") | join("\n")' <<< $meta)
<details>
<summary><h3>Layers</h3></summary>
| Age | Size | Created by instruction |
| --------- | ------ | ---------------------- |
$(docker history --no-trunc --format "{{.CreatedSince}}\t{{.Size}}\t\`{{.CreatedBy}}\`\t{{.Comment}}" $IMAGE_NAME \
| grep 'buildkit.dockerfile' `# filter for layers created in this build process`\
| cut -f-3 `# yeet Comment column`\
| sed 's/ ago//' `# fix Layer age`\
| sed 's/ # buildkit//' `# remove buildkit comment from instructions`\
| sed 's/\$/\\$/g' `# escape variable and shell expansions`\
| sed 's/|/\\|/g' `# escape pipes so they don't interfere with column separators`\
| column -t -s$'\t' -o' | ' `# align columns and add separator`\
| sed 's/^/| /; s/$/ |/' `# add table row start and end pipes`)
</details>
<details>
<summary><h3>ENV</h3></summary>
| Variable | Value |
| -------- | -------- |
$(jq -r \
'.Config.Env
| map(
split("=")
| "\(.[0]) | `\(.[1] | gsub("\\s+"; " "))`"
)
| map("| \(.) |")
| .[]' <<< $meta
)
</details>
<details>
<summary>Raw metadata</summary>
\`\`\`JSON
$meta
\`\`\`
</details>
## Build details
**Build trigger:** $event_name \`$current_ref\`
| Parameter | Value |
| -------------- | ------------ |
| \`no_cache\` | \`$inputs_no_cache\` |
<details>
<summary><code>github</code> context</summary>
\`\`\`JSON
$github_context_json
\`\`\`
</details>
### Job environment
#### \`vars\` context:
\`\`\`JSON
$vars_json
\`\`\`
#### \`env\` context:
\`\`\`JSON
$job_env_json
\`\`\`
$EOF

View File

@@ -0,0 +1,60 @@
#!/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()

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## Original ignores
.github_access_token
classic/original_autogpt/keys.py
classic/original_autogpt/*.json
auto_gpt_workspace/*
*.mpeg
.env
# Root .env files
/.env
azure.yaml
.vscode
.idea/*
auto-gpt.json
log.txt
log-ingestion.txt
/logs
*.log
*.mp3
mem.sqlite3
venvAutoGPT
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
develop-eggs/
dist/
downloads/
eggs/
.eggs/
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/
.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
# AgBenchmark
classic/benchmark/agbenchmark/reports/
# Nodejs
package-lock.json
# Allow for locally private items
# private
pri*
# ignore
ig*
.github_access_token
LICENSE.rtf
autogpt_platform/backend/settings.py
/.auth
/autogpt_platform/frontend/.auth
*.ign.*
.test-contents
.claude/settings.local.json

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.gitmodules vendored Normal file
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[submodule "classic/forge/tests/vcr_cassettes"]
path = classic/forge/tests/vcr_cassettes
url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes

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[pr_reviewer]
num_code_suggestions=0
[pr_code_suggestions]
commitable_code_suggestions=false
num_code_suggestions=0

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

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

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{
"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
}
}
]
}

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# 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

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

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# Code of Conduct for AutoGPT
## 1. Purpose
The purpose of this Code of Conduct is to provide guidelines for contributors to the AutoGPT projects on GitHub. We aim to create a positive and inclusive environment where all participants can contribute and collaborate effectively. By participating in this project, you agree to abide by this Code of Conduct.
## 2. Scope
This Code of Conduct applies to all contributors, maintainers, and users of the AutoGPT project. It extends to all project spaces, including but not limited to issues, pull requests, code reviews, comments, and other forms of communication within the project.
## 3. Our Standards
We encourage the following behavior:
* Being respectful and considerate to others
* Actively seeking diverse perspectives
* Providing constructive feedback and assistance
* Demonstrating empathy and understanding
We discourage the following behavior:
* Harassment or discrimination of any kind
* Disrespectful, offensive, or inappropriate language or content
* Personal attacks or insults
* Unwarranted criticism or negativity
## 4. Reporting and Enforcement
If you witness or experience any violations of this Code of Conduct, please report them to the project maintainers by email or other appropriate means. The maintainers will investigate and take appropriate action, which may include warnings, temporary or permanent bans, or other measures as necessary.
Maintainers are responsible for ensuring compliance with this Code of Conduct and may take action to address any violations.
## 5. Acknowledgements
This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/version/2/0/code_of_conduct.html).
## 6. Contact
If you have any questions or concerns, please contact the project maintainers on Discord:
https://discord.gg/autogpt

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# AutoGPT Contribution Guide
If you are reading this, you are probably looking for the full **[contribution guide]**,
which is part of our [wiki].
[contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
[wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
[roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
[kanban board]: https://github.com/orgs/Significant-Gravitas/projects/1
## 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
[todo's][roadmap]!
* We highly recommend to post your idea and discuss it in the [dev channel].
3. Create a draft PR when starting work on bigger changes.
4. Adhere to the [Code Guidelines]
5. Clearly explain your changes when submitting a PR.
6. Don't submit broken code: test/validate your changes.
7. Avoid making unnecessary changes, especially if they're purely based on your personal
preferences. Doing so is the maintainers' job. ;-)
8. Please also consider contributing something other than code; see the
[contribution guide] for options.
[dev channel]: https://discord.com/channels/1092243196446249134/1095817829405704305
[code guidelines]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing#code-guidelines
If you wish to involve with the project (beyond just contributing PRs), please read the
wiki page about [Catalyzing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Catalyzing).
In fact, why not just look through the whole wiki (it's only a few pages) and
hop on our Discord. See you there! :-)
❤️ & 🔆
The team @ AutoGPT
https://discord.gg/autogpt

220
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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
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
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# AutoGPT: Build, Deploy, and Run AI Agents
[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt) &ensp;
[![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT) &ensp;
<!-- Keep these links. Translations will automatically update with the README. -->
[Deutsch](https://zdoc.app/de/Significant-Gravitas/AutoGPT) |
[Español](https://zdoc.app/es/Significant-Gravitas/AutoGPT) |
[français](https://zdoc.app/fr/Significant-Gravitas/AutoGPT) |
[日本語](https://zdoc.app/ja/Significant-Gravitas/AutoGPT) |
[한국어](https://zdoc.app/ko/Significant-Gravitas/AutoGPT) |
[Português](https://zdoc.app/pt/Significant-Gravitas/AutoGPT) |
[Русский](https://zdoc.app/ru/Significant-Gravitas/AutoGPT) |
[中文](https://zdoc.app/zh/Significant-Gravitas/AutoGPT)
**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
## Hosting Options
- Download to self-host (Free!)
- [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)
## 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.
- 🧪 **Testing** - Fine-tune your agent to perfection.
- 🤝 **Delegating** - Let AI work for you, and have your ideas come to life.
Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI innovation.
**📖 [Documentation](https://docs.agpt.co)**
&ensp;|&ensp;
**🚀 [Contributing](CONTRIBUTING.md)**
---
## 🤖 AutoGPT Classic
> Below is information about the classic version of AutoGPT.
**🛠️ [Build your own Agent - Quickstart](classic/FORGE-QUICKSTART.md)**
### 🏗️ 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.
🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/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
### 🎯 Benchmark
**Measure your agent's performance!** The `agbenchmark` can be used with any agent that supports the agent protocol, and the integration with the project's [CLI] makes it even easier to use with AutoGPT and forge-based agents. The benchmark offers a stringent testing environment. Our framework allows for autonomous, objective performance evaluations, ensuring your agents are primed for real-world action.
<!-- TODO: insert visual demonstrating the benchmark -->
📦 [`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
### 💻 UI
**Makes agents easy to use!** The `frontend` gives you a user-friendly interface to control and monitor your agents. It connects to agents through the [agent protocol](#-agent-protocol), ensuring compatibility with many agents from both inside and outside of our ecosystem.
<!-- TODO: insert screenshot of front end -->
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
### ⌨️ CLI
[CLI]: #-cli
To make it as easy as possible to use all of the tools offered by the repository, a CLI is included at the root of the repo:
```shell
$ ./run
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.
```
Just clone the repo, install dependencies with `./run setup`, and you should be good to go!
## 🤔 Questions? Problems? Suggestions?
### Get help - [Discord 💬](https://discord.gg/autogpt)
[![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.
## 🤝 Sister projects
### 🔄 Agent Protocol
To maintain a uniform standard and ensure seamless compatibility with many current and future applications, AutoGPT employs the [agent protocol](https://agentprotocol.ai/) standard by the AI Engineer Foundation. This standardizes the communication pathways from your agent to the frontend and benchmark.
---
## Stars stats
<p align="center">
<a href="https://star-history.com/#Significant-Gravitas/AutoGPT">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date&theme=dark" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date" />
</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>

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

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

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*.ignore.*
*.ign.*

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

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

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# 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
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**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.

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# AutoGPT Platform
Welcome to the AutoGPT Platform - a powerful system for creating and running AI agents to solve business problems. This platform enables you to harness the power of artificial intelligence to automate tasks, analyze data, and generate insights for your organization.
## Getting Started
### Prerequisites
- Docker
- Docker Compose V2 (comes with Docker Desktop, or can be installed separately)
### Running the System
To run the AutoGPT Platform, follow these steps:
1. Clone this repository to your local machine and navigate to the `autogpt_platform` directory within the repository:
```
git clone <https://github.com/Significant-Gravitas/AutoGPT.git | git@github.com:Significant-Gravitas/AutoGPT.git>
cd AutoGPT/autogpt_platform
```
2. Run the following command:
```
cp .env.default .env
```
This command will copy the `.env.default` file to `.env`. You can modify the `.env` file to add your own environment variables.
3. Run the following command:
```
docker compose up -d
```
This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
4. After all the services are in ready state, open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
### Docker Compose Commands
Here are some useful Docker Compose commands for managing your AutoGPT Platform:
- `docker compose up -d`: Start the services in detached mode.
- `docker compose stop`: Stop the running services without removing them.
- `docker compose rm`: Remove stopped service containers.
- `docker compose build`: Build or rebuild services.
- `docker compose down`: Stop and remove containers, networks, and volumes.
- `docker compose watch`: Watch for changes in your services and automatically update them.
### Sample Scenarios
Here are some common scenarios where you might use multiple Docker Compose commands:
1. Updating and restarting a specific service:
```
docker compose build api_srv
docker compose up -d --no-deps api_srv
```
This rebuilds the `api_srv` service and restarts it without affecting other services.
2. Viewing logs for troubleshooting:
```
docker compose logs -f api_srv ws_srv
```
This shows and follows the logs for both `api_srv` and `ws_srv` services.
3. Scaling a service for increased load:
```
docker compose up -d --scale executor=3
```
This scales the `executor` service to 3 instances to handle increased load.
4. Stopping the entire system for maintenance:
```
docker compose stop
docker compose rm -f
docker compose pull
docker compose up -d
```
This stops all services, removes containers, pulls the latest images, and restarts the system.
5. Developing with live updates:
```
docker compose watch
```
This watches for changes in your code and automatically updates the relevant services.
6. Checking the status of services:
```
docker compose ps
```
This shows the current status of all services defined in your docker-compose.yml file.
These scenarios demonstrate how to use Docker Compose commands in combination to manage your AutoGPT Platform effectively.
### Persisting Data
To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml` file to add volumes. Here's how:
1. Open the `docker-compose.yml` file in a text editor.
2. Add volume configurations for PostgreSQL and Redis services:
```yaml
services:
postgres:
# ... other configurations ...
volumes:
- postgres_data:/var/lib/postgresql/data
redis:
# ... other configurations ...
volumes:
- redis_data:/data
volumes:
postgres_data:
redis_data:
```
3. Save the file and run `docker compose up -d` to apply the changes.
This configuration will create named volumes for PostgreSQL and Redis, ensuring that your data persists across container restarts.
### API Client Generation
The platform includes scripts for generating and managing the API client:
- `pnpm fetch:openapi`: Fetches the OpenAPI specification from the backend service (requires backend to be running on port 8006)
- `pnpm generate:api-client`: Generates the TypeScript API client from the OpenAPI specification using Orval
- `pnpm generate:api`: Runs both fetch and generate commands in sequence
#### Manual API Client Updates
If you need to update the API client after making changes to the backend API:
1. Ensure the backend services are running:
```
docker compose up -d
```
2. Generate the updated API client:
```
pnpm generate:api
```
This will fetch the latest OpenAPI specification and regenerate the TypeScript client code.

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# AutoGPT Libs
This is a new project to store shared functionality across different services in the AutoGPT Platform (e.g. authentication)

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

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from .config import verify_settings
from .dependencies import get_user_id, requires_admin_user, requires_user
from .helpers import add_auth_responses_to_openapi
from .models import User
__all__ = [
"verify_settings",
"get_user_id",
"requires_admin_user",
"requires_user",
"add_auth_responses_to_openapi",
"User",
]

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

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

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"""
FastAPI dependency functions for JWT-based authentication and authorization.
These are the high-level dependency functions used in route definitions.
"""
import fastapi
from .jwt_utils import get_jwt_payload, verify_user
from .models import User
def requires_user(jwt_payload: dict = fastapi.Security(get_jwt_payload)) -> User:
"""
FastAPI dependency that requires a valid authenticated user.
Raises:
HTTPException: 401 for authentication failures
"""
return verify_user(jwt_payload, admin_only=False)
def requires_admin_user(jwt_payload: dict = fastapi.Security(get_jwt_payload)) -> User:
"""
FastAPI dependency that requires a valid admin user.
Raises:
HTTPException: 401 for authentication failures, 403 for insufficient permissions
"""
return verify_user(jwt_payload, admin_only=True)
def get_user_id(jwt_payload: dict = fastapi.Security(get_jwt_payload)) -> str:
"""
FastAPI dependency that returns the ID of the authenticated user.
Raises:
HTTPException: 401 for authentication failures or missing user ID
"""
user_id = jwt_payload.get("sub")
if not user_id:
raise fastapi.HTTPException(
status_code=401, detail="User ID not found in token"
)
return user_id

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

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

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

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

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

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from dataclasses import dataclass
DEFAULT_USER_ID = "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
DEFAULT_EMAIL = "default@example.com"
# Using dataclass here to avoid adding dependency on pydantic
@dataclass(frozen=True)
class User:
user_id: str
email: str
phone_number: str
role: str
@classmethod
def from_payload(cls, payload):
return cls(
user_id=payload["sub"],
email=payload.get("email", ""),
phone_number=payload.get("phone", ""),
role=payload["role"],
)

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from .config import configure_logging
from .filters import BelowLevelFilter
from .formatters import FancyConsoleFormatter
__all__ = [
"configure_logging",
"BelowLevelFilter",
"FancyConsoleFormatter",
]

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"""Logging module for Auto-GPT."""
import logging
import os
import socket
import sys
from pathlib import Path
from pydantic import Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
from .filters import BelowLevelFilter
from .formatters import AGPTFormatter
# Configure global socket timeout and gRPC keepalive to prevent deadlocks
# This must be done at import time before any gRPC connections are established
socket.setdefaulttimeout(30) # 30-second socket timeout
# Enable gRPC keepalive to detect dead connections faster
os.environ.setdefault("GRPC_KEEPALIVE_TIME_MS", "30000") # 30 seconds
os.environ.setdefault("GRPC_KEEPALIVE_TIMEOUT_MS", "5000") # 5 seconds
os.environ.setdefault("GRPC_KEEPALIVE_PERMIT_WITHOUT_CALLS", "true")
LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
LOG_FILE = "activity.log"
DEBUG_LOG_FILE = "debug.log"
ERROR_LOG_FILE = "error.log"
SIMPLE_LOG_FORMAT = "%(asctime)s %(levelname)s %(title)s%(message)s"
DEBUG_LOG_FORMAT = (
"%(asctime)s %(levelname)s %(filename)s:%(lineno)d %(title)s%(message)s"
)
class LoggingConfig(BaseSettings):
level: str = Field(
default="INFO",
description="Logging level",
validation_alias="LOG_LEVEL",
)
enable_cloud_logging: bool = Field(
default=False,
description="Enable logging to Google Cloud Logging",
)
enable_file_logging: bool = Field(
default=False,
description="Enable logging to file",
)
# File output
log_dir: Path = Field(
default=LOG_DIR,
description="Log directory",
)
model_config = SettingsConfigDict(
env_prefix="",
env_file=".env",
env_file_encoding="utf-8",
extra="ignore",
)
@field_validator("level", mode="before")
@classmethod
def parse_log_level(cls, v):
if isinstance(v, str):
v = v.upper()
if v not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
raise ValueError(f"Invalid log level: {v}")
return v
return v
def configure_logging(force_cloud_logging: bool = False) -> None:
"""Configure the native logging module based on the LoggingConfig settings.
This function sets up logging handlers and formatters according to the
configuration specified in the LoggingConfig object. It supports various
logging outputs including console, file, cloud, and JSON logging.
The function uses the LoggingConfig object to determine which logging
features to enable and how to configure them. This includes setting
log levels, log formats, and output destinations.
No arguments are required as the function creates its own LoggingConfig
instance internally.
Note: This function is typically called at the start of the application
to set up the logging infrastructure.
"""
config = LoggingConfig()
log_handlers: list[logging.Handler] = []
# Console output handlers
stdout = logging.StreamHandler(stream=sys.stdout)
stdout.setLevel(config.level)
stdout.addFilter(BelowLevelFilter(logging.WARNING))
if config.level == logging.DEBUG:
stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
else:
stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
stderr = logging.StreamHandler()
stderr.setLevel(logging.WARNING)
if config.level == logging.DEBUG:
stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
else:
stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
log_handlers += [stdout, stderr]
# Cloud logging setup
if config.enable_cloud_logging or force_cloud_logging:
import google.cloud.logging
from google.cloud.logging.handlers import CloudLoggingHandler
from google.cloud.logging_v2.handlers.transports import (
BackgroundThreadTransport,
)
client = google.cloud.logging.Client()
# Use BackgroundThreadTransport to prevent blocking the main thread
# and deadlocks when gRPC calls to Google Cloud Logging hang
cloud_handler = CloudLoggingHandler(
client,
name="autogpt_logs",
transport=BackgroundThreadTransport,
)
cloud_handler.setLevel(config.level)
log_handlers.append(cloud_handler)
# File logging setup
if config.enable_file_logging:
# create log directory if it doesn't exist
if not config.log_dir.exists():
config.log_dir.mkdir(parents=True, exist_ok=True)
print(f"Log directory: {config.log_dir}")
# Activity log handler (INFO and above)
activity_log_handler = logging.FileHandler(
config.log_dir / LOG_FILE, "a", "utf-8"
)
activity_log_handler.setLevel(config.level)
activity_log_handler.setFormatter(
AGPTFormatter(SIMPLE_LOG_FORMAT, no_color=True)
)
log_handlers.append(activity_log_handler)
if config.level == logging.DEBUG:
# Debug log handler (all levels)
debug_log_handler = logging.FileHandler(
config.log_dir / DEBUG_LOG_FILE, "a", "utf-8"
)
debug_log_handler.setLevel(logging.DEBUG)
debug_log_handler.setFormatter(
AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True)
)
log_handlers.append(debug_log_handler)
# Error log handler (ERROR and above)
error_log_handler = logging.FileHandler(
config.log_dir / ERROR_LOG_FILE, "a", "utf-8"
)
error_log_handler.setLevel(logging.ERROR)
error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
log_handlers.append(error_log_handler)
# Configure the root logger
logging.basicConfig(
format=DEBUG_LOG_FORMAT if config.level == logging.DEBUG else SIMPLE_LOG_FORMAT,
level=config.level,
handlers=log_handlers,
)

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import logging
class BelowLevelFilter(logging.Filter):
"""Filter for logging levels below a certain threshold."""
def __init__(self, below_level: int):
super().__init__()
self.below_level = below_level
def filter(self, record: logging.LogRecord):
return record.levelno < self.below_level

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import logging
from colorama import Fore, Style
from .utils import remove_color_codes
class FancyConsoleFormatter(logging.Formatter):
"""
A custom logging formatter designed for console output.
This formatter enhances the standard logging output with color coding. The color
coding is based on the level of the log message, making it easier to distinguish
between different types of messages in the console output.
The color for each level is defined in the LEVEL_COLOR_MAP class attribute.
"""
# level -> (level & text color, title color)
LEVEL_COLOR_MAP = {
logging.DEBUG: Fore.LIGHTBLACK_EX,
logging.INFO: Fore.BLUE,
logging.WARNING: Fore.YELLOW,
logging.ERROR: Fore.RED,
logging.CRITICAL: Fore.RED + Style.BRIGHT,
}
def format(self, record: logging.LogRecord) -> str:
# Make sure `msg` is a string
if not hasattr(record, "msg"):
record.msg = ""
elif type(record.msg) is not str:
record.msg = str(record.msg)
# Determine default color based on error level
level_color = ""
if record.levelno in self.LEVEL_COLOR_MAP:
level_color = self.LEVEL_COLOR_MAP[record.levelno]
record.levelname = f"{level_color}{record.levelname}{Style.RESET_ALL}"
# Determine color for message
color = getattr(record, "color", level_color)
color_is_specified = hasattr(record, "color")
# Don't color INFO messages unless the color is explicitly specified.
if color and (record.levelno != logging.INFO or color_is_specified):
record.msg = f"{color}{record.msg}{Style.RESET_ALL}"
return super().format(record)
class AGPTFormatter(FancyConsoleFormatter):
def __init__(self, *args, no_color: bool = False, **kwargs):
super().__init__(*args, **kwargs)
self.no_color = no_color
def format(self, record: logging.LogRecord) -> str:
# Make sure `msg` is a string
if not hasattr(record, "msg"):
record.msg = ""
elif type(record.msg) is not str:
record.msg = str(record.msg)
# Strip color from the message to prevent color spoofing
if record.msg and not getattr(record, "preserve_color", False):
record.msg = remove_color_codes(record.msg)
# Determine color for title
title = getattr(record, "title", "")
title_color = getattr(record, "title_color", "") or self.LEVEL_COLOR_MAP.get(
record.levelno, ""
)
if title and title_color:
title = f"{title_color + Style.BRIGHT}{title}{Style.RESET_ALL}"
# Make sure record.title is set, and padded with a space if not empty
record.title = f"{title} " if title else ""
if self.no_color:
return remove_color_codes(super().format(record))
else:
return super().format(record)

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from __future__ import annotations
import json
import logging
class JsonFileHandler(logging.FileHandler):
def format(self, record: logging.LogRecord) -> str:
record.json_data = json.loads(record.getMessage())
return json.dumps(getattr(record, "json_data"), ensure_ascii=False, indent=4)
def emit(self, record: logging.LogRecord) -> None:
with open(self.baseFilename, "w", encoding="utf-8") as f:
f.write(self.format(record))

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import pytest
from .utils import remove_color_codes
@pytest.mark.parametrize(
"raw_text, clean_text",
[
(
"COMMAND = \x1b[36mbrowse_website\x1b[0m "
"ARGUMENTS = \x1b[36m{'url': 'https://www.google.com',"
" 'question': 'What is the capital of France?'}\x1b[0m",
"COMMAND = browse_website "
"ARGUMENTS = {'url': 'https://www.google.com',"
" 'question': 'What is the capital of France?'}",
),
(
"{'Schaue dir meine Projekte auf github () an, als auch meine Webseiten': "
"'https://github.com/Significant-Gravitas/AutoGPT,"
" https://discord.gg/autogpt und https://twitter.com/Auto_GPT'}",
"{'Schaue dir meine Projekte auf github () an, als auch meine Webseiten': "
"'https://github.com/Significant-Gravitas/AutoGPT,"
" https://discord.gg/autogpt und https://twitter.com/Auto_GPT'}",
),
("", ""),
("hello", "hello"),
("hello\x1b[31m world", "hello world"),
("\x1b[36mHello,\x1b[32m World!", "Hello, World!"),
(
"\x1b[1m\x1b[31mError:\x1b[0m\x1b[31m file not found",
"Error: file not found",
),
],
)
def test_remove_color_codes(raw_text, clean_text):
assert remove_color_codes(raw_text) == clean_text

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import re
def remove_color_codes(s: str) -> str:
return re.sub(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])", "", s)

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

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

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

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

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import inspect
import logging
import threading
import time
from functools import wraps
from typing import (
Awaitable,
Callable,
ParamSpec,
Protocol,
Tuple,
TypeVar,
cast,
overload,
runtime_checkable,
)
P = ParamSpec("P")
R = TypeVar("R")
logger = logging.getLogger(__name__)
@overload
def thread_cached(func: Callable[P, Awaitable[R]]) -> Callable[P, Awaitable[R]]:
pass
@overload
def thread_cached(func: Callable[P, R]) -> Callable[P, R]:
pass
def thread_cached(
func: Callable[P, R] | Callable[P, Awaitable[R]],
) -> Callable[P, R] | Callable[P, Awaitable[R]]:
thread_local = threading.local()
def _clear():
if hasattr(thread_local, "cache"):
del thread_local.cache
if inspect.iscoroutinefunction(func):
async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
cache = getattr(thread_local, "cache", None)
if cache is None:
cache = thread_local.cache = {}
key = (args, tuple(sorted(kwargs.items())))
if key not in cache:
cache[key] = await cast(Callable[P, Awaitable[R]], func)(
*args, **kwargs
)
return cache[key]
setattr(async_wrapper, "clear_cache", _clear)
return async_wrapper
else:
def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
cache = getattr(thread_local, "cache", None)
if cache is None:
cache = thread_local.cache = {}
key = (args, tuple(sorted(kwargs.items())))
if key not in cache:
cache[key] = func(*args, **kwargs)
return cache[key]
setattr(sync_wrapper, "clear_cache", _clear)
return sync_wrapper
def clear_thread_cache(func: Callable) -> None:
if clear := getattr(func, "clear_cache", None):
clear()
FuncT = TypeVar("FuncT")
R_co = TypeVar("R_co", covariant=True)
@runtime_checkable
class AsyncCachedFunction(Protocol[P, R_co]):
"""Protocol for async functions with cache management methods."""
def cache_clear(self) -> None:
"""Clear all cached entries."""
return None
def cache_info(self) -> dict[str, int | None]:
"""Get cache statistics."""
return {}
async def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co:
"""Call the cached function."""
return None # type: ignore
def async_ttl_cache(
maxsize: int = 128, ttl_seconds: int | None = None
) -> Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]:
"""
TTL (Time To Live) cache decorator for async functions.
Similar to functools.lru_cache but works with async functions and includes optional TTL.
Args:
maxsize: Maximum number of cached entries
ttl_seconds: Time to live in seconds. If None, entries never expire (like lru_cache)
Returns:
Decorator function
Example:
# With TTL
@async_ttl_cache(maxsize=1000, ttl_seconds=300)
async def api_call(param: str) -> dict:
return {"result": param}
# Without TTL (permanent cache like lru_cache)
@async_ttl_cache(maxsize=1000)
async def expensive_computation(param: str) -> dict:
return {"result": param}
"""
def decorator(
async_func: Callable[P, Awaitable[R]],
) -> AsyncCachedFunction[P, R]:
# Cache storage - use union type to handle both cases
cache_storage: dict[tuple, R | Tuple[R, float]] = {}
@wraps(async_func)
async def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
# Create cache key from arguments
key = (args, tuple(sorted(kwargs.items())))
current_time = time.time()
# Check if we have a valid cached entry
if key in cache_storage:
if ttl_seconds is None:
# No TTL - return cached result directly
logger.debug(
f"Cache hit for {async_func.__name__} with key: {str(key)[:50]}"
)
return cast(R, cache_storage[key])
else:
# With TTL - check expiration
cached_data = cache_storage[key]
if isinstance(cached_data, tuple):
result, timestamp = cached_data
if current_time - timestamp < ttl_seconds:
logger.debug(
f"Cache hit for {async_func.__name__} with key: {str(key)[:50]}"
)
return cast(R, result)
else:
# Expired entry
del cache_storage[key]
logger.debug(
f"Cache entry expired for {async_func.__name__}"
)
# Cache miss or expired - fetch fresh data
logger.debug(
f"Cache miss for {async_func.__name__} with key: {str(key)[:50]}"
)
result = await async_func(*args, **kwargs)
# Store in cache
if ttl_seconds is None:
cache_storage[key] = result
else:
cache_storage[key] = (result, current_time)
# Simple cleanup when cache gets too large
if len(cache_storage) > maxsize:
# Remove oldest entries (simple FIFO cleanup)
cutoff = maxsize // 2
oldest_keys = list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
for old_key in oldest_keys:
cache_storage.pop(old_key, None)
logger.debug(
f"Cache cleanup: removed {len(oldest_keys)} entries for {async_func.__name__}"
)
return result
# Add cache management methods (similar to functools.lru_cache)
def cache_clear() -> None:
cache_storage.clear()
def cache_info() -> dict[str, int | None]:
return {
"size": len(cache_storage),
"maxsize": maxsize,
"ttl_seconds": ttl_seconds,
}
# Attach methods to wrapper
setattr(wrapper, "cache_clear", cache_clear)
setattr(wrapper, "cache_info", cache_info)
return cast(AsyncCachedFunction[P, R], wrapper)
return decorator
@overload
def async_cache(
func: Callable[P, Awaitable[R]],
) -> AsyncCachedFunction[P, R]:
pass
@overload
def async_cache(
func: None = None,
*,
maxsize: int = 128,
) -> Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]:
pass
def async_cache(
func: Callable[P, Awaitable[R]] | None = None,
*,
maxsize: int = 128,
) -> (
AsyncCachedFunction[P, R]
| Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]
):
"""
Process-level cache decorator for async functions (no TTL).
Similar to functools.lru_cache but works with async functions.
This is a convenience wrapper around async_ttl_cache with ttl_seconds=None.
Args:
func: The async function to cache (when used without parentheses)
maxsize: Maximum number of cached entries
Returns:
Decorated function or decorator
Example:
# Without parentheses (uses default maxsize=128)
@async_cache
async def get_data(param: str) -> dict:
return {"result": param}
# With parentheses and custom maxsize
@async_cache(maxsize=1000)
async def expensive_computation(param: str) -> dict:
# Expensive computation here
return {"result": param}
"""
if func is None:
# Called with parentheses @async_cache() or @async_cache(maxsize=...)
return async_ttl_cache(maxsize=maxsize, ttl_seconds=None)
else:
# Called without parentheses @async_cache
decorator = async_ttl_cache(maxsize=maxsize, ttl_seconds=None)
return decorator(func)

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"""Tests for the @thread_cached decorator.
This module tests the thread-local caching functionality including:
- Basic caching for sync and async functions
- Thread isolation (each thread has its own cache)
- Cache clearing functionality
- Exception handling (exceptions are not cached)
- Argument handling (positional vs keyword arguments)
"""
import asyncio
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from unittest.mock import Mock
import pytest
from autogpt_libs.utils.cache import (
async_cache,
async_ttl_cache,
clear_thread_cache,
thread_cached,
)
class TestThreadCached:
def test_sync_function_caching(self):
call_count = 0
@thread_cached
def expensive_function(x: int, y: int = 0) -> int:
nonlocal call_count
call_count += 1
return x + y
assert expensive_function(1, 2) == 3
assert call_count == 1
assert expensive_function(1, 2) == 3
assert call_count == 1
assert expensive_function(1, y=2) == 3
assert call_count == 2
assert expensive_function(2, 3) == 5
assert call_count == 3
assert expensive_function(1) == 1
assert call_count == 4
@pytest.mark.asyncio
async def test_async_function_caching(self):
call_count = 0
@thread_cached
async def expensive_async_function(x: int, y: int = 0) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01)
return x + y
assert await expensive_async_function(1, 2) == 3
assert call_count == 1
assert await expensive_async_function(1, 2) == 3
assert call_count == 1
assert await expensive_async_function(1, y=2) == 3
assert call_count == 2
assert await expensive_async_function(2, 3) == 5
assert call_count == 3
def test_thread_isolation(self):
call_count = 0
results = {}
@thread_cached
def thread_specific_function(x: int) -> str:
nonlocal call_count
call_count += 1
return f"{threading.current_thread().name}-{x}"
def worker(thread_id: int):
result1 = thread_specific_function(1)
result2 = thread_specific_function(1)
result3 = thread_specific_function(2)
results[thread_id] = (result1, result2, result3)
with ThreadPoolExecutor(max_workers=3) as executor:
futures = [executor.submit(worker, i) for i in range(3)]
for future in futures:
future.result()
assert call_count >= 2
for thread_id, (r1, r2, r3) in results.items():
assert r1 == r2
assert r1 != r3
@pytest.mark.asyncio
async def test_async_thread_isolation(self):
call_count = 0
results = {}
@thread_cached
async def async_thread_specific_function(x: int) -> str:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01)
return f"{threading.current_thread().name}-{x}"
async def async_worker(worker_id: int):
result1 = await async_thread_specific_function(1)
result2 = await async_thread_specific_function(1)
result3 = await async_thread_specific_function(2)
results[worker_id] = (result1, result2, result3)
tasks = [async_worker(i) for i in range(3)]
await asyncio.gather(*tasks)
for worker_id, (r1, r2, r3) in results.items():
assert r1 == r2
assert r1 != r3
def test_clear_cache_sync(self):
call_count = 0
@thread_cached
def clearable_function(x: int) -> int:
nonlocal call_count
call_count += 1
return x * 2
assert clearable_function(5) == 10
assert call_count == 1
assert clearable_function(5) == 10
assert call_count == 1
clear_thread_cache(clearable_function)
assert clearable_function(5) == 10
assert call_count == 2
@pytest.mark.asyncio
async def test_clear_cache_async(self):
call_count = 0
@thread_cached
async def clearable_async_function(x: int) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01)
return x * 2
assert await clearable_async_function(5) == 10
assert call_count == 1
assert await clearable_async_function(5) == 10
assert call_count == 1
clear_thread_cache(clearable_async_function)
assert await clearable_async_function(5) == 10
assert call_count == 2
def test_simple_arguments(self):
call_count = 0
@thread_cached
def simple_function(a: str, b: int, c: str = "default") -> str:
nonlocal call_count
call_count += 1
return f"{a}-{b}-{c}"
# First call with all positional args
result1 = simple_function("test", 42, "custom")
assert call_count == 1
# Same args, all positional - should hit cache
result2 = simple_function("test", 42, "custom")
assert call_count == 1
assert result1 == result2
# Same values but last arg as keyword - creates different cache key
result3 = simple_function("test", 42, c="custom")
assert call_count == 2
assert result1 == result3 # Same result, different cache entry
# Different value - new cache entry
result4 = simple_function("test", 43, "custom")
assert call_count == 3
assert result1 != result4
def test_positional_vs_keyword_args(self):
"""Test that positional and keyword arguments create different cache entries."""
call_count = 0
@thread_cached
def func(a: int, b: int = 10) -> str:
nonlocal call_count
call_count += 1
return f"result-{a}-{b}"
# All positional
result1 = func(1, 2)
assert call_count == 1
assert result1 == "result-1-2"
# Same values, but second arg as keyword
result2 = func(1, b=2)
assert call_count == 2 # Different cache key!
assert result2 == "result-1-2" # Same result
# Verify both are cached separately
func(1, 2) # Uses first cache entry
assert call_count == 2
func(1, b=2) # Uses second cache entry
assert call_count == 2
def test_exception_handling(self):
call_count = 0
@thread_cached
def failing_function(x: int) -> int:
nonlocal call_count
call_count += 1
if x < 0:
raise ValueError("Negative value")
return x * 2
assert failing_function(5) == 10
assert call_count == 1
with pytest.raises(ValueError):
failing_function(-1)
assert call_count == 2
with pytest.raises(ValueError):
failing_function(-1)
assert call_count == 3
assert failing_function(5) == 10
assert call_count == 3
@pytest.mark.asyncio
async def test_async_exception_handling(self):
call_count = 0
@thread_cached
async def async_failing_function(x: int) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01)
if x < 0:
raise ValueError("Negative value")
return x * 2
assert await async_failing_function(5) == 10
assert call_count == 1
with pytest.raises(ValueError):
await async_failing_function(-1)
assert call_count == 2
with pytest.raises(ValueError):
await async_failing_function(-1)
assert call_count == 3
def test_sync_caching_performance(self):
@thread_cached
def slow_function(x: int) -> int:
print(f"slow_function called with x={x}")
time.sleep(0.1)
return x * 2
start = time.time()
result1 = slow_function(5)
first_call_time = time.time() - start
print(f"First call took {first_call_time:.4f} seconds")
start = time.time()
result2 = slow_function(5)
second_call_time = time.time() - start
print(f"Second call took {second_call_time:.4f} seconds")
assert result1 == result2 == 10
assert first_call_time > 0.09
assert second_call_time < 0.01
@pytest.mark.asyncio
async def test_async_caching_performance(self):
@thread_cached
async def slow_async_function(x: int) -> int:
print(f"slow_async_function called with x={x}")
await asyncio.sleep(0.1)
return x * 2
start = time.time()
result1 = await slow_async_function(5)
first_call_time = time.time() - start
print(f"First async call took {first_call_time:.4f} seconds")
start = time.time()
result2 = await slow_async_function(5)
second_call_time = time.time() - start
print(f"Second async call took {second_call_time:.4f} seconds")
assert result1 == result2 == 10
assert first_call_time > 0.09
assert second_call_time < 0.01
def test_with_mock_objects(self):
mock = Mock(return_value=42)
@thread_cached
def function_using_mock(x: int) -> int:
return mock(x)
assert function_using_mock(1) == 42
assert mock.call_count == 1
assert function_using_mock(1) == 42
assert mock.call_count == 1
assert function_using_mock(2) == 42
assert mock.call_count == 2
class TestAsyncTTLCache:
"""Tests for the @async_ttl_cache decorator."""
@pytest.mark.asyncio
async def test_basic_caching(self):
"""Test basic caching functionality."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=60)
async def cached_function(x: int, y: int = 0) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01) # Simulate async work
return x + y
# First call
result1 = await cached_function(1, 2)
assert result1 == 3
assert call_count == 1
# Second call with same args - should use cache
result2 = await cached_function(1, 2)
assert result2 == 3
assert call_count == 1 # No additional call
# Different args - should call function again
result3 = await cached_function(2, 3)
assert result3 == 5
assert call_count == 2
@pytest.mark.asyncio
async def test_ttl_expiration(self):
"""Test that cache entries expire after TTL."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=1) # Short TTL
async def short_lived_cache(x: int) -> int:
nonlocal call_count
call_count += 1
return x * 2
# First call
result1 = await short_lived_cache(5)
assert result1 == 10
assert call_count == 1
# Second call immediately - should use cache
result2 = await short_lived_cache(5)
assert result2 == 10
assert call_count == 1
# Wait for TTL to expire
await asyncio.sleep(1.1)
# Third call after expiration - should call function again
result3 = await short_lived_cache(5)
assert result3 == 10
assert call_count == 2
@pytest.mark.asyncio
async def test_cache_info(self):
"""Test cache info functionality."""
@async_ttl_cache(maxsize=5, ttl_seconds=300)
async def info_test_function(x: int) -> int:
return x * 3
# Check initial cache info
info = info_test_function.cache_info()
assert info["size"] == 0
assert info["maxsize"] == 5
assert info["ttl_seconds"] == 300
# Add an entry
await info_test_function(1)
info = info_test_function.cache_info()
assert info["size"] == 1
@pytest.mark.asyncio
async def test_cache_clear(self):
"""Test cache clearing functionality."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=60)
async def clearable_function(x: int) -> int:
nonlocal call_count
call_count += 1
return x * 4
# First call
result1 = await clearable_function(2)
assert result1 == 8
assert call_count == 1
# Second call - should use cache
result2 = await clearable_function(2)
assert result2 == 8
assert call_count == 1
# Clear cache
clearable_function.cache_clear()
# Third call after clear - should call function again
result3 = await clearable_function(2)
assert result3 == 8
assert call_count == 2
@pytest.mark.asyncio
async def test_maxsize_cleanup(self):
"""Test that cache cleans up when maxsize is exceeded."""
call_count = 0
@async_ttl_cache(maxsize=3, ttl_seconds=60)
async def size_limited_function(x: int) -> int:
nonlocal call_count
call_count += 1
return x**2
# Fill cache to maxsize
await size_limited_function(1) # call_count: 1
await size_limited_function(2) # call_count: 2
await size_limited_function(3) # call_count: 3
info = size_limited_function.cache_info()
assert info["size"] == 3
# Add one more entry - should trigger cleanup
await size_limited_function(4) # call_count: 4
# Cache size should be reduced (cleanup removes oldest entries)
info = size_limited_function.cache_info()
assert info["size"] is not None and info["size"] <= 3 # Should be cleaned up
@pytest.mark.asyncio
async def test_argument_variations(self):
"""Test caching with different argument patterns."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=60)
async def arg_test_function(a: int, b: str = "default", *, c: int = 100) -> str:
nonlocal call_count
call_count += 1
return f"{a}-{b}-{c}"
# Different ways to call with same logical arguments
result1 = await arg_test_function(1, "test", c=200)
assert call_count == 1
# Same arguments, same order - should use cache
result2 = await arg_test_function(1, "test", c=200)
assert call_count == 1
assert result1 == result2
# Different arguments - should call function
result3 = await arg_test_function(2, "test", c=200)
assert call_count == 2
assert result1 != result3
@pytest.mark.asyncio
async def test_exception_handling(self):
"""Test that exceptions are not cached."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=60)
async def exception_function(x: int) -> int:
nonlocal call_count
call_count += 1
if x < 0:
raise ValueError("Negative value not allowed")
return x * 2
# Successful call - should be cached
result1 = await exception_function(5)
assert result1 == 10
assert call_count == 1
# Same successful call - should use cache
result2 = await exception_function(5)
assert result2 == 10
assert call_count == 1
# Exception call - should not be cached
with pytest.raises(ValueError):
await exception_function(-1)
assert call_count == 2
# Same exception call - should call again (not cached)
with pytest.raises(ValueError):
await exception_function(-1)
assert call_count == 3
@pytest.mark.asyncio
async def test_concurrent_calls(self):
"""Test caching behavior with concurrent calls."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=60)
async def concurrent_function(x: int) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.05) # Simulate work
return x * x
# Launch concurrent calls with same arguments
tasks = [concurrent_function(3) for _ in range(5)]
results = await asyncio.gather(*tasks)
# All results should be the same
assert all(result == 9 for result in results)
# Note: Due to race conditions, call_count might be up to 5 for concurrent calls
# This tests that the cache doesn't break under concurrent access
assert 1 <= call_count <= 5
class TestAsyncCache:
"""Tests for the @async_cache decorator (no TTL)."""
@pytest.mark.asyncio
async def test_basic_caching_no_ttl(self):
"""Test basic caching functionality without TTL."""
call_count = 0
@async_cache(maxsize=10)
async def cached_function(x: int, y: int = 0) -> int:
nonlocal call_count
call_count += 1
await asyncio.sleep(0.01) # Simulate async work
return x + y
# First call
result1 = await cached_function(1, 2)
assert result1 == 3
assert call_count == 1
# Second call with same args - should use cache
result2 = await cached_function(1, 2)
assert result2 == 3
assert call_count == 1 # No additional call
# Third call after some time - should still use cache (no TTL)
await asyncio.sleep(0.05)
result3 = await cached_function(1, 2)
assert result3 == 3
assert call_count == 1 # Still no additional call
# Different args - should call function again
result4 = await cached_function(2, 3)
assert result4 == 5
assert call_count == 2
@pytest.mark.asyncio
async def test_no_ttl_vs_ttl_behavior(self):
"""Test the difference between TTL and no-TTL caching."""
ttl_call_count = 0
no_ttl_call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=1) # Short TTL
async def ttl_function(x: int) -> int:
nonlocal ttl_call_count
ttl_call_count += 1
return x * 2
@async_cache(maxsize=10) # No TTL
async def no_ttl_function(x: int) -> int:
nonlocal no_ttl_call_count
no_ttl_call_count += 1
return x * 2
# First calls
await ttl_function(5)
await no_ttl_function(5)
assert ttl_call_count == 1
assert no_ttl_call_count == 1
# Wait for TTL to expire
await asyncio.sleep(1.1)
# Second calls after TTL expiry
await ttl_function(5) # Should call function again (TTL expired)
await no_ttl_function(5) # Should use cache (no TTL)
assert ttl_call_count == 2 # TTL function called again
assert no_ttl_call_count == 1 # No-TTL function still cached
@pytest.mark.asyncio
async def test_async_cache_info(self):
"""Test cache info for no-TTL cache."""
@async_cache(maxsize=5)
async def info_test_function(x: int) -> int:
return x * 3
# Check initial cache info
info = info_test_function.cache_info()
assert info["size"] == 0
assert info["maxsize"] == 5
assert info["ttl_seconds"] is None # No TTL
# Add an entry
await info_test_function(1)
info = info_test_function.cache_info()
assert info["size"] == 1
class TestTTLOptional:
"""Tests for optional TTL functionality."""
@pytest.mark.asyncio
async def test_ttl_none_behavior(self):
"""Test that ttl_seconds=None works like no TTL."""
call_count = 0
@async_ttl_cache(maxsize=10, ttl_seconds=None)
async def no_ttl_via_none(x: int) -> int:
nonlocal call_count
call_count += 1
return x**2
# First call
result1 = await no_ttl_via_none(3)
assert result1 == 9
assert call_count == 1
# Wait (would expire if there was TTL)
await asyncio.sleep(0.1)
# Second call - should still use cache
result2 = await no_ttl_via_none(3)
assert result2 == 9
assert call_count == 1 # No additional call
# Check cache info
info = no_ttl_via_none.cache_info()
assert info["ttl_seconds"] is None
@pytest.mark.asyncio
async def test_cache_options_comparison(self):
"""Test different cache options work as expected."""
ttl_calls = 0
no_ttl_calls = 0
@async_ttl_cache(maxsize=10, ttl_seconds=1) # With TTL
async def ttl_function(x: int) -> int:
nonlocal ttl_calls
ttl_calls += 1
return x * 10
@async_cache(maxsize=10) # Process-level cache (no TTL)
async def process_function(x: int) -> int:
nonlocal no_ttl_calls
no_ttl_calls += 1
return x * 10
# Both should cache initially
await ttl_function(3)
await process_function(3)
assert ttl_calls == 1
assert no_ttl_calls == 1
# Immediate second calls - both should use cache
await ttl_function(3)
await process_function(3)
assert ttl_calls == 1
assert no_ttl_calls == 1
# Wait for TTL to expire
await asyncio.sleep(1.1)
# After TTL expiry
await ttl_function(3) # Should call function again
await process_function(3) # Should still use cache
assert ttl_calls == 2 # TTL cache expired, called again
assert no_ttl_calls == 1 # Process cache never expires

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

1900
autogpt_platform/autogpt_libs/poetry.lock generated Normal file

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[tool.poetry]
name = "autogpt-libs"
version = "0.2.0"
description = "Shared libraries across AutoGPT Platform"
authors = ["AutoGPT team <info@agpt.co>"]
readme = "README.md"
packages = [{ include = "autogpt_libs" }]
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
colorama = "^0.4.6"
expiringdict = "^1.2.2"
fastapi = "^0.116.1"
google-cloud-logging = "^3.12.1"
launchdarkly-server-sdk = "^9.12.0"
pydantic = "^2.11.7"
pydantic-settings = "^2.10.1"
pyjwt = { version = "^2.10.1", extras = ["crypto"] }
redis = "^6.2.0"
supabase = "^2.16.0"
uvicorn = "^0.35.0"
[tool.poetry.group.dev.dependencies]
ruff = "^0.12.9"
pytest = "^8.4.1"
pytest-asyncio = "^1.1.0"
pytest-mock = "^3.14.1"
pytest-cov = "^6.2.1"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.ruff]
line-length = 88
[tool.ruff.lint]
extend-select = ["I"] # sort dependencies

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

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# Backend Configuration
# This file contains environment variables that MUST be set for the AutoGPT platform
# Variables with working defaults in settings.py are not included here
## ===== REQUIRED DATABASE CONFIGURATION ===== ##
# PostgreSQL Database Connection
DB_USER=postgres
DB_PASS=your-super-secret-and-long-postgres-password
DB_NAME=postgres
DB_PORT=5432
DB_HOST=localhost
DB_CONNECTION_LIMIT=12
DB_CONNECT_TIMEOUT=60
DB_POOL_TIMEOUT=300
DB_SCHEMA=platform
DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
DIRECT_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
PRISMA_SCHEMA="postgres/schema.prisma"
## ===== REQUIRED SERVICE CREDENTIALS ===== ##
# Redis Configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=password
# RabbitMQ Credentials
RABBITMQ_DEFAULT_USER=rabbitmq_user_default
RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
# Supabase Authentication
SUPABASE_URL=http://localhost:8000
SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
JWT_VERIFY_KEY=your-super-secret-jwt-token-with-at-least-32-characters-long
## ===== REQUIRED SECURITY KEYS ===== ##
# Generate using: from cryptography.fernet import Fernet;Fernet.generate_key().decode()
ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=
UNSUBSCRIBE_SECRET_KEY=HlP8ivStJjmbf6NKi78m_3FnOogut0t5ckzjsIqeaio=
## ===== IMPORTANT OPTIONAL CONFIGURATION ===== ##
# Platform URLs (set these for webhooks and OAuth to work)
PLATFORM_BASE_URL=http://localhost:8000
FRONTEND_BASE_URL=http://localhost:3000
# Media Storage (required for marketplace and library functionality)
MEDIA_GCS_BUCKET_NAME=
## ===== API KEYS AND OAUTH CREDENTIALS ===== ##
# All API keys below are optional - only add what you need
# AI/LLM Services
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
GROQ_API_KEY=
LLAMA_API_KEY=
AIML_API_KEY=
V0_API_KEY=
OPEN_ROUTER_API_KEY=
NVIDIA_API_KEY=
# OAuth Credentials
# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
# e.g. http://localhost:3000/auth/integrations/oauth_callback
# GitHub OAuth App server credentials - https://github.com/settings/developers
GITHUB_CLIENT_ID=
GITHUB_CLIENT_SECRET=
# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
# You'll need to add/enable the following scopes (minimum):
# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
GOOGLE_CLIENT_ID=
GOOGLE_CLIENT_SECRET=
# Twitter (X) OAuth 2.0 with PKCE Configuration
# 1. Create a Twitter Developer Account:
# - Visit https://developer.x.com/en and sign up
# 2. Set up your application:
# - Navigate to Developer Portal > Projects > Create Project
# - Add a new app to your project
# 3. Configure app settings:
# - App Permissions: Read + Write + Direct Messages
# - App Type: Web App, Automated App or Bot
# - OAuth 2.0 Callback URL: http://localhost:3000/auth/integrations/oauth_callback
# - Save your Client ID and Client Secret below
TWITTER_CLIENT_ID=
TWITTER_CLIENT_SECRET=
# Linear App
# Make a new workspace for your OAuth APP -- trust me
# https://linear.app/settings/api/applications/new
# Callback URL: http://localhost:3000/auth/integrations/oauth_callback
LINEAR_CLIENT_ID=
LINEAR_CLIENT_SECRET=
# To obtain Todoist API credentials:
# 1. Create a Todoist account at todoist.com
# 2. Visit the Developer Console: https://developer.todoist.com/appconsole.html
# 3. Click "Create new app"
# 4. Once created, copy your Client ID and Client Secret below
TODOIST_CLIENT_ID=
TODOIST_CLIENT_SECRET=
NOTION_CLIENT_ID=
NOTION_CLIENT_SECRET=
# Discord OAuth App credentials
# 1. Go to https://discord.com/developers/applications
# 2. Create a new application
# 3. Go to OAuth2 section and add redirect URI: http://localhost:3000/auth/integrations/oauth_callback
# 4. Copy Client ID and Client Secret below
DISCORD_CLIENT_ID=
DISCORD_CLIENT_SECRET=
REDDIT_CLIENT_ID=
REDDIT_CLIENT_SECRET=
# Payment Processing
STRIPE_API_KEY=
STRIPE_WEBHOOK_SECRET=
# Email Service (for sending notifications and confirmations)
POSTMARK_SERVER_API_TOKEN=
POSTMARK_SENDER_EMAIL=invalid@invalid.com
POSTMARK_WEBHOOK_TOKEN=
# Error Tracking
SENTRY_DSN=
# Cloudflare Turnstile (CAPTCHA) Configuration
# Get these from the Cloudflare Turnstile dashboard: https://dash.cloudflare.com/?to=/:account/turnstile
# This is the backend secret key
TURNSTILE_SECRET_KEY=
# This is the verify URL
TURNSTILE_VERIFY_URL=https://challenges.cloudflare.com/turnstile/v0/siteverify
# Feature Flags
LAUNCH_DARKLY_SDK_KEY=
# Content Generation & Media
DID_API_KEY=
FAL_API_KEY=
IDEOGRAM_API_KEY=
REPLICATE_API_KEY=
REVID_API_KEY=
SCREENSHOTONE_API_KEY=
UNREAL_SPEECH_API_KEY=
# Data & Search Services
E2B_API_KEY=
EXA_API_KEY=
JINA_API_KEY=
MEM0_API_KEY=
OPENWEATHERMAP_API_KEY=
GOOGLE_MAPS_API_KEY=
# Communication Services
DISCORD_BOT_TOKEN=
MEDIUM_API_KEY=
MEDIUM_AUTHOR_ID=
SMTP_SERVER=
SMTP_PORT=
SMTP_USERNAME=
SMTP_PASSWORD=
# Business & Marketing Tools
APOLLO_API_KEY=
ENRICHLAYER_API_KEY=
AYRSHARE_API_KEY=
AYRSHARE_JWT_KEY=
SMARTLEAD_API_KEY=
ZEROBOUNCE_API_KEY=
# Other Services
AUTOMOD_API_KEY=

12
autogpt_platform/backend/.gitignore vendored Normal file
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.env
database.db
database.db-journal
dev.db
dev.db-journal
build/
config.json
secrets/*
!secrets/.gitkeep
*.ignore.*
*.ign.*

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FROM debian:13-slim AS builder
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /app
RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy
# Update package list and install Python and build dependencies
RUN apt-get update --allow-releaseinfo-change --fix-missing \
&& apt-get install -y \
python3.13 \
python3.13-dev \
python3.13-venv \
python3-pip \
build-essential \
libpq5 \
libz-dev \
libssl-dev \
postgresql-client
ENV POETRY_HOME=/opt/poetry
ENV POETRY_NO_INTERACTION=1
ENV POETRY_VIRTUALENVS_CREATE=true
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV PATH=/opt/poetry/bin:$PATH
RUN pip3 install poetry --break-system-packages
# Copy and install dependencies
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
WORKDIR /app/autogpt_platform/backend
RUN poetry install --no-ansi --no-root
# Generate Prisma client
COPY autogpt_platform/backend/schema.prisma ./
RUN poetry run prisma generate
FROM debian:13-slim AS server_dependencies
WORKDIR /app
ENV POETRY_HOME=/opt/poetry \
POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_CREATE=true \
POETRY_VIRTUALENVS_IN_PROJECT=true \
DEBIAN_FRONTEND=noninteractive
ENV PATH=/opt/poetry/bin:$PATH
# Install Python without upgrading system-managed packages
RUN apt-get update && apt-get install -y \
python3.13 \
python3-pip
# Copy only necessary files from builder
COPY --from=builder /app /app
COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
# Copy Prisma binaries
COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
RUN mkdir -p /app/autogpt_platform/autogpt_libs
RUN mkdir -p /app/autogpt_platform/backend
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
WORKDIR /app/autogpt_platform/backend
FROM server_dependencies AS migrate
# Migration stage only needs schema and migrations - much lighter than full backend
COPY autogpt_platform/backend/schema.prisma /app/autogpt_platform/backend/
COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
FROM server_dependencies AS server
COPY autogpt_platform/backend /app/autogpt_platform/backend
RUN poetry install --no-ansi --only-root
ENV PORT=8000
CMD ["poetry", "run", "rest"]

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[Advanced Setup (Dev Branch)](https://dev-docs.agpt.co/platform/advanced_setup/#autogpt_agent_server_advanced_set_up)

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[Getting Started (Released)](https://docs.agpt.co/platform/getting-started/#autogpt_agent_server)

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

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

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