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Hi all,

Let's do some more work about the testing data generation and export the result by REST API.😁

Here, I would like to reuse the datagen.restservice class which built in the pervious article Writing a REST api service for exporting the generated patient data in .csv

This time, we are planning to generate a FHIR bundle include multiple resources for testing the FHIR repository.

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I am regularly contacted by customers about memory sizing when they get alerts that free memory is below a threshold, or they observe that free memory has dropped suddenly. Is there a problem? Will their application stop working because it has run out of memory for running system and application processes? Nearly always, the answer is no, there is nothing to worry about. But that simple answer is usually not enough. What's going on?

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Introduction

MonLBL is a tool for analyzing the performance of ObjectScript code execution line by line. codemonitor.MonLBL is a wrapper based on the %Monitor.System.LineByLine package from InterSystems IRIS, designed to collect precise metrics on the execution of routines, classes, or CSP pages.

The wrapper and all examples presented in this article are available in the following GitHub repository: iris-monlbl-example

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Article
· Feb 3 3m read
SQL Host Variables missing ?

Host Variables are a rather common programming feature in many implementations of SQL.
A recent question in DC made me aware that in IRIS, Caché, Ensemble, ...
host variables just exist within embedded SQL

> You can supply host variables for Embedded SQL queries only. <

Related examples are included in the available Documentation

This is a description for a workaround if you don't / can't use embedded SQL.

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Introduction

InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.

In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:

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This article is part of a series showcasing the implementation of ideas from the Ideas Portal, where innovative concepts come to life!

Many InterSystems IRIS developers frequently need to create unit tests for ObjectScript classes — a process often done manually. The iris-tripleslash application revolutionizes this by automatically generating unit test classes with test methods for all the class methods of the original class. Developed by the talented Musketeers team — @José Pereira, @Henrique Dias, @Henry Pereira — this tool was inspired by an idea shared by @Evgeny Shvarov on the Ideas Portal: "Add a project that helps to generate unittests for an ObjectScript class".

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Are you curious about how to run Python scripts directly in your InterSystems IRIS or Caché terminal? 🤔 Good news it's easy! 😆 IRIS supports Embedded Python, allowing you to use Python interactively within its terminal environment.

How to access the Python Shell?

To launch the Python shell from the IRIS terminal, simply run the following command:

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Article
· Jul 11 7m read
Metabase IRIS Driver

Hi InterSystems Community! I'm Sidd one of the interns at the Singapore office and I recently had the chance to develop to develop a driver to connect IRIS to Metabase to help some of the Sales Engineers here. I was encouraged to share it here so that if any others have a similar issue they can use the driver and as well as get some feedback on potential improvements. The full GitHub repo with the quick start step, brief overview and the driver building process can be found here.

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Hello Community !

We are delighted to invite all our customers, partners and community members to participate in the InterSystems Benelux & France Summit 2025! The registration for the Summit 2025 is already open.

This event promises to be an interactive experience highlighting inspiring case studies, technological innovations and roadmaps for the coming year in the fields of healthcare and data platforms. Hands-on demonstrations will also allow you to explore the latest developments in a tangible way.

➡️ InterSystems Benelux & France Summit

🗓 Dates : February 11 - 12, 2025

📍 Place : Hilton Rotterdam | Weena 10 | 3012 CM Rotterdam | Netherlands

Image preview

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Article
· Sep 4 4m read
IRIS in Docker for beginners

The article was motivated by the 2025 September Article Bounty
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The principle of Docker is just convincing to me.

  • Get a sandbox where you play and try whatever you want/need to do
  • Once done. You drop it without leaving traces in your working environment

This was the technical base for me to run about 700 reviews in OEX
with almost no side effects (except those caused by myself).

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Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

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Hi Community,

In this article, I will introduce my application iris-AgenticAI .

The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm.
This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.

Application Features

  • Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
  • Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
  • Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
  • Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
  • Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
  • Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
  • MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
  • Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
  • Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.

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This article outlines the process of utilizing the renowned Jaeger solution for tracing InterSystems IRIS applications. Jaeger is an open-source product for tracking and identifying issues, especially in distributed and microservices environments. This tracing backend that emerged at Uber in 2015 was inspired by Google's Dapper and Twitter's OpenZipkin. It later joined the Cloud Native Computing Foundation (CNCF) as an incubating project in 2017, achieving graduated status in 2019. This guide will demonstrate how to operate the containerized Jaeger solution integrated with IRIS.

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