37e1780d76
* Refactor on the link structure and API * Refactor on the link structure and API * Cleanup IDS * Remove run_id * Update block interface * Added websockets dependency * Adding routes * Adding in websocket code * Added cli to test the websocket * Added an outline of the message formats I plan on using * Added webscoket message types * Updated poetry lock * Adding subscription logic * Updating subscription mechanisms * update cli * Send updates to server * Get single execution data * Fix type hints and renamed function * add callback function and type hints * fix type hints * Updated manager to use property * Added in websocket updates * Added connection manager tests * Added tests for ws_api * trying to work around process issues * test formatting * Added a create and execute command for the cli * Updated send format * websockets command working * cli update * Added model.py * feat: Update server.py and manager.py - Initialize blocks in AgentServer lifespan context - Remove unnecessary await in AgentServer get_graph_blocks - Fix type hinting in manager.py - Validate input data in validate_exec function * fix tests * feat: Add autogpt_server.blocks.sample and autogpt_server.blocks.text modules This commit adds the `autogpt_server.blocks.sample` and `autogpt_server.blocks.text` modules to the project. These modules contain blocks that are used in the execution of the Autogpt server. The `ParrotBlock` and `PrintingBlock` classes are imported from `autogpt_server.blocks.sample`, while the `TextFormatterBlock` class is imported from `autogpt_server.blocks.text`. This addition enhances the functionality of the server by providing additional blocks for text processing and sample operations. * fixed circular import issue * Update readme --------- Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
AutoGPT: build & use AI agents
AutoGPT is a generalist LLM based AI agent that can autonomously accomplish minor tasks.
Examples:
- Look up and summarize this research paper
- Write a marketing for food supplements
- Write a blog post detailing the news in AI
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 | 🚀 Contributing | 🛠️ Build your own Agent - Quickstart
🧱 Building blocks
🏗️ Forge
Forge your own agent! – Forge is a ready-to-go template for your agent application. All the boilerplate code is already handled, letting you channel all your creativity into the things that set your agent apart. All tutorials are located here. Components from the forge.sdk 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.
📘 Learn More 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.
📦 agbenchmark on Pypi
|
📘 Learn More 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, ensuring compatibility with many agents from both inside and outside of our ecosystem.
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 about the Frontend
⌨️ 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:
$ ./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 💬
To report a bug or request a feature, create a GitHub Issue. 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 standard by the AI Engineer Foundation. This standardizes the communication pathways from your agent to the frontend and benchmark.