39fe22f7e7
This PR implements a comprehensive Ayrshare social media integration for AutoGPT Platform, enabling users to post content across multiple social media platforms through a unified interface. Ayrshare provides a single API to manage posts across Facebook, Twitter/X, LinkedIn, Instagram, YouTube, TikTok, Pinterest, Reddit, Telegram, Google My Business, Bluesky, Snapchat, and Threads. The integration addresses the need for social media automation and content distribution workflows within AutoGPT agents, allowing users to: - Connect their social media accounts via SSO - Post content with platform-specific options and constraints - Schedule posts across multiple platforms simultaneously - Handle platform-specific media requirements and validation ⚠️ To simplify the review process all except the twitter post block has been commented out, future pr's will uncomment other platfroms so we can test them in isolation. ### Changes 🏗️ #### Backend Integration (`backend/integrations/ayrshare.py`) - **AyrshareClient**: Complete API client implementation with post creation, profile management, and JWT generation - **SocialPlatform enum**: Comprehensive platform definitions for all supported social networks - **Response models**: PostResponse, ProfileResponse, JWTResponse for type-safe API interactions - **Error handling**: Custom AyrshareAPIException with proper HTTP status code handling #### Social Media Posting Blocks (`backend/blocks/ayrshare/post.py`) - **BaseAyrshareInput**: Shared input schema with common fields (post text, media URLs, scheduling, etc.) - **Platform-specific blocks**: 13 dedicated posting blocks, each with platform-specific validation and options: - PostToFacebookBlock: Carousel, Reels, Stories, targeting, alt text - PostToXBlock: Threads, polls, long posts, premium features, subtitles - PostToLinkedInBlock: Document support, visibility controls, audience targeting - PostToInstagramBlock: Stories, Reels, user tags, collaborators - PostToYouTubeBlock: Video uploads, playlists, visibility, country targeting - PostToPinterestBlock: Pins, carousels, board management - PostToTikTokBlock: Video/image posts, AI labeling, brand content - PostToRedditBlock: Basic posting functionality - PostToTelegramBlock: GIF handling, mentions - PostToGMBBlock: Event/offer posts, call-to-action buttons - PostToBlueskyBlock: Character limit validation, alt text - PostToSnapchatBlock: Story types, video thumbnails - PostToThreadsBlock: Hashtag restrictions, carousel support #### Helper Models - **CarouselItem**: Facebook carousel configuration - **CallToAction, EventDetails, OfferDetails**: Google My Business post types - **InstagramUserTag**: Instagram user tagging with coordinates - **LinkedInTargeting**: LinkedIn audience targeting options - **PinterestCarouselOption**: Pinterest carousel image options - **YouTubeTargeting**: YouTube country blocking/allowing #### Authentication & SSO (`backend/server/integrations/router.py`) - **SSO endpoint**: `/integrations/ayrshare/sso_url` for account linking - **Profile management**: Automatic profile creation and key management - **JWT generation**: Secure token generation for social media account linking - **Platform allowlist**: Configured access to all supported social platforms #### Frontend Integration (`frontend/src/components/CustomNode.tsx`) - **AYRSHARE block type**: New BlockUIType.AYRSHARE for Ayrshare-specific nodes - **SSO button**: "Connect Social Media Accounts" with loading states - **Handle generation**: Special handling for Ayrshare blocks with SSO integration #### Configuration - **Environment variables**: Added AYRSHARE_API_KEY and AYRSHARE_JWT_KEY to .env.example - **Block registration**: All Ayrshare blocks registered in AYRSHARE_NODE_IDS array #### Type Safety & Error Handling - **Modern typing**: Updated to use `list`, `dict`, `Any` instead of legacy typing - **Comprehensive validation**: Platform-specific constraints (character limits, media counts, file types) - **User-friendly errors**: Clear error messages for validation failures and API errors ### Checklist 📋 #### For code changes: - [x] I have clearly listed my changes in the PR description - [x] I have made a test plan - [x] I have tested my changes according to the test plan: **Test Plan:** **Backend API Testing:** - [x] Verify AyrshareClient initializes correctly with API key - [x] Test JWT generation for SSO authentication - [x] Test profile creation and management - [x] Verify all 13 posting blocks are properly registered - [x] Test platform-specific validation rules for each block - [x] Verify error handling for missing credentials and API failures **Frontend Integration Testing:** - [x] Verify AYRSHARE block type renders correctly in flow editor - [x] Test SSO button functionality and popup window behavior - [x] Confirm loading states work properly during authentication - [x] Verify input handles generate correctly for Ayrshare blocks - [x] Test platform-specific input fields and validation **End-to-End Workflow Testing:** - [x] Create agent with Ayrshare posting blocks - [x] Test SSO flow: click "Connect Social Media Accounts" button - [x] Verify popup opens with Ayrshare authentication page - [x] Test social media account linking process - [x] Create posts with various platform-specific options: - [ X ] X (Twitter) - tested basic posting with image - [] Test scheduling functionality across platforms - [x] Verify media upload constraints and validation - [] Test error handling for invalid inputs and failed posts **Error Case Testing:** - [] Test behavior with missing AYRSHARE_API_KEY configuration - [] Test invalid social media credentials handling - [] Test network failure scenarios - [] Verify platform-specific validation error messages - [] Test character limit enforcement per platform - [] Test media file type and size restrictions **Security Testing:** - [ x ] Verify JWT tokens are properly generated and validated - [x] Test profile key isolation between users - [x] Confirm sensitive credentials are not logged - [x] Verify SSO popup prevents XSS attacks #### For configuration changes: - [x] `.env.example` is updated or already compatible with my changes - [x] `docker-compose.yml` is updated or already compatible with my changes - [x] I have included a list of my configuration changes in the PR description (under **Changes**) **Configuration Changes:** - Added `AYRSHARE_API_KEY` environment variable for Ayrshare API authentication - Added `AYRSHARE_JWT_KEY` environment variable for SSO token generation - No docker-compose.yml changes required (uses existing backend services) --------- Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
AutoGPT: Build, Deploy, and Run AI Agents
AutoGPT is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
Hosting Options
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How to Setup for Self-Hosting
Note
Setting up and hosting the AutoGPT Platform yourself is a technical process. If you'd rather something that just works, we recommend joining the waitlist 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
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- 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
This tutorial assumes you have Docker, VSCode, git and npm installed.
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curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
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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.
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Read this guide to learn how to build your own custom blocks.
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🐙 Example Agents
Here are two examples of what you can do with AutoGPT:
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Generate Viral Videos from Trending Topics
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- It identifies trending topics.
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Identify Top Quotes from Videos for Social Media
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- 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.
Mission and Licencing
Our mission is to provide the tools, so that you can focus on what matters:
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📖 Documentation | 🚀 Contributing
Licensing:
MIT License: The majority of the AutoGPT repository is under the MIT License.
Polyform Shield License: This license applies to the autogpt_platform folder.
For more information, see https://agpt.co/blog/introducing-the-autogpt-platform
🤖 AutoGPT Classic
Below is information about the classic version of AutoGPT.
🛠️ Build your own Agent - Quickstart
🏗️ Forge
Forge your own agent! – Forge is a ready-to-go toolkit to build your own agent application. It handles most of the boilerplate code, letting you channel all your creativity into the things that set your agent apart. All tutorials are located here. Components from forge can also be used individually to speed up development and reduce boilerplate in your agent project.
🚀 Getting Started with Forge – This guide will walk you through the process of creating your own agent and using the benchmark and user interface.
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📦 agbenchmark on Pypi
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📘 Learn More about the Benchmark
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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:
$ ./run
Usage: cli.py [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
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setup Installs dependencies needed for your system.
Just clone the repo, install dependencies with ./run setup, and you should be good to go!
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🤝 Sister projects
🔄 Agent Protocol
To maintain a uniform standard and ensure seamless compatibility with many current and future applications, AutoGPT employs the agent protocol standard by the AI Engineer Foundation. This standardizes the communication pathways from your agent to the frontend and benchmark.
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