Advanced Features of the Agency Swarm Framework
AI Summary
- Introduction to advanced features of the agency SW framework
- Many users are not utilizing the full potential of the framework.
- Asynchronous Mode
- Speeds up agents by up to 4x.
- Available for both agents and tools.
- Parallel Tool Calling
- New feature in OpenAI Assistant API and the framework.
- Advanced Agent Parameter Techniques
- Includes few-shot learning, response validators, fine-tuned models, etc.
- Converting Open API Schemas into Tools
- Underrated feature that automates the conversion of schemas into tools.
- Running Open Source Models with Astra Assistance API
- Takes only three lines of code to set up with any open-source models.
- Hiring Announcement
- Looking for technical project managers and AI agent developers.
- Tutorial Guidance
- Collab notebook available in the video description.
- Follow along with the tutorial for faster learning.
- Installation and Setup
- Install packages from a special branch for new features.
- Insert OpenAI API key into the notebook.
- Asynchronous Mode Example
- Threading allows agents to run in separate threads.
- Demonstrates increased efficiency with an example of a CEO and essay writer agent.
- Tools Threading Method
- For tasks heavily dependent on tools rather than agent outputs.
- Example shows significant speed increase with tools running in separate threads.
- Parallel Tool Calls in OpenAI
- New parameter controls whether tools are called sequentially or in parallel.
- Advanced Agent Parameters and Techniques
- Few-shot learning, response validators, fine-tuned models, file search config, truncation parameters, and response format.
- Converting Open API Schemas into Tools
- Two methods: specifying a schemas folder or using the Tool Factory class.
- Automatically converts schemas into type-checked base tools.
- Backend Integration Parameters
- Get completion method includes recipient agent, additional instructions, and tool choice parameters.
- Running Framework with Open Source Models
- Astra Assistance API allows for easy setup with third-party model providers.
- Example of running the framework with Grog and Anthropic models.
- Running Locally with Astra Open Source Swarm
- Instructions for setting up and running locally with Docker.
- Conclusion
- More advanced features like observability and additional async modes are planned.