Build Your First AI Agent With Google ADK in Minutes!

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AI Summary

Video Title: Getting Started with Google’s Agent Development Kit (ADK)

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Overview:

• Introduction to Google’s Agent Development Kit (ADK).
• Focus on building agents without being tied to specific models or Google technology.

Installation:

1. Install Google ADK: pip install google-adk
2. Create a folder for your agents: mkdir test_agents
3. Initialize a Python project: uv init
4. Install Light LLM: pip install light-llm
5. Add Light LLM to project dependencies: uv add light-llm

Creating a Basic Agent:

1. Open Visual Studio Code and create agent.py:
   • Import necessary modules from google.k.agents and light_llm.
   • Set up the agent model (e.g., Llama 3.1).
2. Define your agent:
   • Give it a name and description.
   • Specify the system prompt (e.g., “You are a pirate called Jolly Roger…”).
3. Ensure your __init__.py imports the agent for recognition by ADK commands.
4. Run ADK commands to interact with your agent:
   • Start CLI: adk run test_agents
   • Start web server: adk web

Interacting with Agents:

• Using commands within the CLI, you can interact with your agent and check its responses.
• Configure alternative models, e.g., switch to OpenAI using API keys for enhanced interactions.
• Multimodal features allow agents to analyze images.

Building More Agents:

• Create additional agents (e.g., Time Agent) with tools for specific tasks (e.g., fetching current time).
• Introduce tools using Pyantic for input validation and organize error handling.

Coordinating Multiple Agents:

• Develop a Coordinator Agent to manage interactions between existing agents (e.g., Pirate and Time agents).
• Allow for conversational contexts that span multiple agents to enhance user experience.

Conclusion:

• Google’s ADK is a flexible framework for developing conversational agents with ease.
• It supports various models, multi-agent coordination, and provides a user-friendly interface for interactions.

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