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Daily tips and tutorials on LLMs, RAG and AI Agents | Author of books on GPT-3 & Neural Search in Production | DM open for collaboration

Jul 5, 8 tweets

Build an AI Agent with Structured Output using Google ADK (step-by-step instructions):

What Are Structured Outputs?

Think of structured outputs as a strict dress code for your AI agent's responses.

Instead of getting random, unpredictable text, you get perfectly formatted JSON every single time.

Let's build our AI Agent with structured output 👇

1. Install the necessary Python Libraries

Run the following commands to install the required libraries:

2. Define the output structure using Pydantic

Describe what you want your agent to return using Pydantic data model.

3. Create the Agent using Google ADK

with model, instructions and the output schema that we defined above as Pydantic Class.

4. Now lets put everything together to run and test this AI Agent.

Put the the above code in file and follow the proper ADK folder structure.

Run the following command: adk web

It will open the Agent UI that you can use for testing the agent. agent.py

Find the full source code with 100+ other AI Agents, MCP and RAG tutorials, completely free and Opensource.

🌟 Star the GitHub Repo to show your support: github.com/Shubhamsaboo/a…

I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.

To get started:
1. Follow me → @Saboo_Shubham_
2. Step-by-step tutorials on Unwind AI (for free): theunwindai.com

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