From Prompt to Agent with Agent Development Kit



AI Summary

Summary Note for Video: Agent Development Kit (ADK)

  1. Introduction to ADK
    • Overview of the newly released Agent Development Kit (ADK).
    • Components required to build an agent: instructions, tools, and model.
  2. 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.
  3. 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.
  4. 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.
  5. Model Utilization
    • Usage of models such as Gemini 2.5 in the agent’s functionality.
    • Execution of tools and output generation.
  6. 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.
  7. Conclusion
    • Encouragement to build agents using Gemini to enhance productivity.