Ai

Give your AI agent superpowers with custom tools Series Navigation: This is Post 3 of the Google ADK Tutorial Series. ← Previous: LiteLLM Integration: Making Your ADK Agents Model-Agnostic What You’ll Learn By the end of this post, you’ll understand the three types of tools in ADK: Built-in Tools - Pre-built tools like Google Search that provide instant capabilities Custom Function Tools - Your own Python functions that the agent can call Agent as a Tool - Using other agents as callable tools for complex workflows We’ll build a travel assistant agent that demonstrates all three tool types working together. ...

Switch between OpenAI, Claude, and Gemini with one line of code 📚 Series Navigation: This is Post 2 of the Google ADK Tutorial Series. ← Previous: Introduction to Google ADK What You’ll Learn By the end of this post, you’ll: Understand how LiteLLM works with ADK Configure multiple LLM providers Switch between models without changing code Implement fallback strategies for reliability Optimize costs by choosing the right model for each task Code on GitHub: The complete working example from this post is available at google-adk-samples/model_agnostic_agent ...

What You’ll Learn By the end of this post, you’ll: Understand what Google ADK is Build a working AI agent from scratch Understand ADK’s core architecture (App, Agent, Tools) Prerequisites: Python 3.10+, basic Python knowledge, an API key for an LLM provider (Google, OpenAI, or Anthropic) What is Google ADK? Google ADK (Agent Development Kit) is an open-source, code-first toolkit for building AI agents. It’s Google’s answer to the growing complexity of agent development, designed to make building production-grade agents as straightforward as building a web API. ...

In this post, we will look at how to use Okta to authenticate and authorize requests to an MCP server. We will use the FastMCP library to build both the server and client. The MCP server we will build will be a wrapper around a simple FastAPI app that’s protected using Okta. First, we will build a Hello World API using FastAPI and protect its endpoints using Okta. We will create a Okta client for the API and test it with Postman. ...

This is a continuation to the previous article on generating MongoDB Queries using OpenAI Chat Completion API . In this article, we will look at how to construct MongoDB Queries using OpenAI Assistants API given an input and an expected output. In this article, we will cover the following: Create an assistant using Assistants API and use it to generate MongoDB queries. Use custom function tool to format the output in JSON format. ...

I’m a big fan of mongoplayground.net as it is one of the most useful and widely used tools for swiftly testing various MongoDB queries while working on a problem. Although this tool is really handy and convenient to use, I have always wondered if there is a way to automatically generate the query for a given input and an expected output, rather than having to manually construct these queries. Thanks to Generative AI tools, this is now possible! ...