From Prompt to Agent with Agent Development Kit
AI Summary
Summary Note for Video: Agent Development Kit (ADK)
- Introduction to ADK
- Overview of the newly released Agent Development Kit (ADK).
- Components required to build an agent: instructions, tools, and model.
- Agent Structure
- Instructions: Defines the agent’s goal in natural language.
- Tools: Enhance agent capabilities with API calls; includes an example of the analyze building codes tool for retrieval-augmented generation (RAG).
- Model: Handles tasks and calls tools; mentions support for Gemini and Vert.x AI, and notes that ADK is model agnostic.
- Setup Instructions
- Connection to Gemini and Vert.x AI using API keys or Google Cloud SDK configurations.
- Detailed example of defining an agent’s instruction focused on creating a PDF proposal based on customer requests.
- Tool Configuration
- Explanation of the analyze building codes tool: takes building features, searches a RAG database, and returns a summary.
- Importance of clear docstrings to guide AI in tool selection.
- Model Utilization
- Usage of models such as Gemini 2.5 in the agent’s functionality.
- Execution of tools and output generation.
- Testing the Agent
- Instructions on using the development UI by running
ADK web
in the terminal.- Demonstration of agent capabilities by uploading images for proposal generation.
- Conclusion
- Encouragement to build agents using Gemini to enhance productivity.