Post Overview

  • Using tasks with streaming in Google Agent2Agent (A2A)

    Using tasks with streaming in Google Agent2Agent (A2A)

    In a previous post we created a simple A2A agent that uses synchronous message exchange. An A2A client sends a message and the A2A server, via the Agent Executor, responds with a message. But what if you have a longer running task to perform and you want to inform the client that the task in… Read more

  • Google’s A2A: taking a closer look

    Google’s A2A: taking a closer look

    In the previous post, I talked about options to build multi-agent solutions. The last option used Google’s A2A. A2A provides a wrapper around your agent, basically a JSON-RPC API, that standardizes how you talk to your agent. In this post we take a closer look at the basics of A2A with simple synchronous message exchange.… Read more

  • Building multi-agent solutions: what are your options?

    Building multi-agent solutions: what are your options?

    When we meet with customers, the topic of a “multi-agent solution” often comes up. This isn’t surprising. There’s a lot of excitement around their potential to transform business processes, strengthen customer relationships, and more. The first question you have to ask yourself though is this: “Do I really need a multi-agent solution?”. Often, we find… Read more

  • Building Configurable AI Agents with the OpenAI Agents SDK

    In this post, I will demonstrate how to build an AI agent system where agents can collaborate in different ways. The goal is to create agents that can either work independently with their own tools or collaborate with other agents through two distinct patterns: using agents as tools or handing off control to other agents.… Read more

  • Creating an agent with Hugging Face smolagents and Azure OpenAI

    Creating an agent with Hugging Face smolagents and Azure OpenAI

    Artificial Intelligence (AI) agents have garnered significant attention, with numerous posts discussing them on platforms such as LinkedIn and X/Twitter. In that sense, this post is not different. Instead of theory though, let’s look at building an agent that has a reasoning loop in a very simple way. Although you can build an agent from… Read more

  • Using Bing Search to ground LLM responses

    Using Bing Search to ground LLM responses

    We often get the question to build an assistant based on the content of a website. These assistants often get implemented in one of two ways: In both cases, you have to make a decision about how to ground the LLM with your website content. There are several approaches: In the first two approaches, you… Read more