Author: marjavamitjava

Your agents flow might require interruption or human-in-loop at multiple node executions. Here is the code sample to do so

Here is the java code showing the real world use case of using LangGraph in Java applications

When integrating external model servers with local applications using the Model Context Protocol (MCP), one of the most important safety primitives is roots.Roots are how a client tells a connected server: “these are the...

This example demonstrates how to build a travel assistant using LangGraph and LLM-based tool orchestration — where each tool is represented as an independent node in the workflow graph. Instead of hardcoding if/else logic...

Blackboard If the problem is always the same the previous architectures might have worked … but what if the best next step depends on the results of the previous one? A rigid sequence can...

# How to Implement Sampling in MCP (Model Context Protocol) with Java ## What is MCP Sampling? MCP sampling allows you to capture and process streaming messages from AI models in real-time. It’s useful...

When building AI-powered applications, one of the most common challenges is: 👉 How do we give the LLM access to fresh, structured data without stuffing the entire dataset into its prompt? This is where...

In the rapidly evolving landscape of healthcare technology, the Model Context Protocol (MCP) offers a powerful framework for building intelligent medical applications. When dealing with sensitive and critical patient data – like medical records,...

Introduction The Model Context Protocol (MCP) server needs to handle different types of requests. In this blog post, we’ll focus on the simplest approach – how to extract the method from the request body...

When you hear a model like GPT-3 has 175 billion parameters, it sounds huge — and it is. But what does that actually mean? Let’s break it down with a super simple example, then...