This new AI Agent Framework is CRAZY GOOD | Google ADK
AI Summary
- Overview of Google’s ADK Release
- Google released the Agent Development Kit (ADK).
- The library feels well-implemented despite being new.
- Highlights of ADK
- Allows for evaluation of model output quality.
- Facilitates agent-to-agent communication.
- Simplifies the setup of parallel agent workflows.
- Core Features
- Multi-agent design.
- Supports a rich model ecosystem (e.g., Gemini, OpenAI).
- Custom function calling capabilities.
- Simple orchestration of sequential and parallel workflows.
- Usage Instructions
- Installation:
pip install Google ADK.- Requires an environment file (includes Google API key and Vertex settings).
- Sequential Agent Example
- Establishing a sequential workflow to create, review, and refactor Python code.
- Displays a pipeline with state tracking and feedback integration.
- Parallel Agent Research
- Setup examples for agents researching multiple topics (e.g., renewable energy, EV technology).
- Returns summarized findings with grounding confidence scores.
- Writer Loop Feature
- Implements a writing loop to iteratively enhance text.
- Loop limits can be adjusted.
- Server Launch
- Start the server using
ADK web, typically on port 8000.- Documentation and Resources
- Well-structured documentation available for setup and troubleshooting.
- GitHub repository with sample agents.
- User Feedback Invitation
- Encouragement for users to share their experiences and opinions on the ADK compared to other frameworks.