Introduction

The standard %Net.HttpRequest library in InterSystems IRIS is powerful and comprehensive, but it can be verbose for simple operations. Writing an HTTP request often requires several lines of code to instantiate the class, configure the server, the port, HTTPS, add headers, and finally send the request.

When testing in the terminal, this configuration quickly becomes too heavy, and usually ends up with the creation of temporary methods...

FastHTTP was designed to address this need. This utility class provides a fluent and concise interface to perform HTTP calls in a single line, while automatically handling the underlying complexity (SSL/TLS, URL parsing, JSON encoding, headers, etc.).

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

 ⏯  InterSystems IRIS & IRIS Health as a Managed Service @ Ready 2025 

One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings accomplish this by encoding the semantics of text as high-dimensional numeric vectors, which can be employed by advanced search algorithms (normally an approximate nearest neighbor algorithm like Hierarchical Navigable Small World). This not only improves our ability to interact with unstructured text programmatically but makes it searchable by context and by meaning beyond what is captured literally by keyword.

This is an excellent candidate for a developer community post (like Dev.to, Medium, or the InterSystems Community). It bridges the gap between high-level architecture and hands-on implementation.

Here is the summarized article format.

Building a Robust Asynchronous Queue Manager with InterSystems IRIS and Angular

As applications scale, handling heavy computational tasks synchronously becomes a bottleneck. Whether it's processing large data sets, sending high-volume emails, or managing API integrations, a decoupled architecture is essential.

Hi developers!

I'm testing vibecoding with ObjectScript and my silicon friend created a code-block that got me thinking "what's wrong"?

Here is the piece of code:

for i=0:1:(json.%Size()-1) {

set p = json.%Get(i)

if (p="value1")!(p="value2") {

quit 1
}

AI wanted to quit from a method with a return value. Good intention, but bad use of the command.

And ObjectScript compiler compiles this code with no error(?) (syntax linter in VSCode says it's a syntax, kudos @Brett Saviano ).

But in action, it produces <COMMAND>, of course.

Hi Developers!

Currently I have 2000+ lines in a class, and I think it's a lot already? What are the best practices? 

if 10K lines OK? How do you cope with it? Please share?

We use local containers  a lot for evaluation and development with Health Connect and other IRIS based applications.

When evaluating Podman Desktop on Windows as replacement for Docker Desktop, we are experiencing an issue with the durable %SYS:

The only way it works is when we use a named volume which then is located inside the WSL-Podman-Machine under /var/lib/containers/storage/volumes/.

When I build docker containers my build log usually looks like this:

#9 24.94 Using 'iris.cpf' configuration file
#9 25.82
#9 27.55 Starting Control Process
#9 27.55 Global buffer setting requires attention.  Auto-selected 25% of total memory.
#9 27.55 Allocated 4999MB shared memory
#9 27.55 3915MB global buffers, 391MB routine buffers
#9 29.84 This copy of InterSystems IRIS has been licensed for use exclusively by:
#9 29.84 No local key detected, trying license server.
#9 29.84 Copyright (c) 1986-2026 by InterSystems Corporation
#9 29.

In the previous article, we examined how we can use the %CSP.Request and %CSP.Response classes to test a REST API without having the API fully set up and accessible across a network with an authentication mechanism. In this article, we will build on that foundation to perform some simple unit testing of one of our REST API methods.

The unit testing framework requires a couple of setup steps before we can use it. First, we have to ensure that the unit testing portion of the management portal is enabled so we can review the results of our tests.

We are attempting to "Repoint" old class data to new class data to save disk space and data redundancy across multiple tables. This works to a point.  In essence the two classes are sharing the same data / Index / stream globals.  But if an ID in the Old_Class is opened, a property is modified, and saved the property that is in the New_Class (but not in the Old_Class) is NULLed / blanked.

Simplified explanation of data and what’s occurring.

Intersystems IRIS Productions provide a powerful framework for connecting disparate systems across various protocols and message formats in a reliable, observable, and scalable manner. intersystems_pyprod, short for InterSystems Python Productions, is a Python library that enables developers to build these interoperability components entirely in Python. Designed for flexibility, it supports a hybrid approach: you can seamlessly mix new Python-based components with existing ObjectScript-based ones, leveraging your established IRIS infrastructure.

Welcome to the finale of our journey in building MAIS.

• In Part 1, we constructed the agnostic "Brain" using LiteLLM and IRIS.
• In Part 2, we designed the "Persona", mastering Dynamic Prompt Engineering and the ReAct theory.

Now, the stage is set. Our agents are ready, defined, and eager to work. However, they remain frozen in time. They require a mechanism to drive the conversation, execute their requested tools, and pass the baton to one another.

Today, we will assemble the Nervous System.

In this article, I aim to demonstrate a couple of methods for easily adding validation to REST APIs on InterSystems IRIS Data Platform. I believe a specification-first approach is an excellent idea for API development. IRIS already has features for generating an implementation stub from a specification and publishing that specification for external developers (use it with iris-web-swagger-ui for the best results). The remaining important thing not yet implemented in the platform is the request validator. Let's fix it!

Recent versions of IRIS come with Lite Terminal available from VSCode. It's a websocket server, with JSON messaging. Here's how to connect to it from Python:

import websocket
import argparse
import requests
import json


def terminal(host, port, namespace, username, password, command, secure):
    session = requests.Session()
    r = session.get(f"http{"s" if secure else ""}://{host}:{port}/api/atelier/", auth=(username, password))
    cookies = session.cookies.get_dict()
    ws = websocket.WebSocket()
    ws.

Hello everyone. I'm currently working on how to implement a solution that makes it possible to include within the response of a BusinessOperation the "RetryCount" for each message.
For Example, we have this message that was retried twice:

This is an HL7.message going through a specific business operation, we did not create a custom one: we used the default implementation EnsLib.HL7.Operation.TCPOperation. This operation should automatically handle retries (infinetely waiting on a response).

Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Debugging InterSystems IRIS & Health Connect: From VS Code Breakpoints to Interoperability Traces 👈

📅 Date & time: Feb 18th, 3:00 PM IDT

When production issues arise, speed and precision matter. This webinar is a practical, tool-driven walkthrough of debugging in InterSystems IRIS (including IRIS for Health) and Health Connect - starting with code-level debugging in VS Code and extending into platform and interoperability diagnostics. We will cover core logging as well as tracing techniques.

How I Vibecoded a Backend (and Frontend) on InterSystems IRIS

I wanted to try vibecoding a real backend + frontend setup on InterSystems IRIS, ideally using something realistic rather than a toy example. The goal was simple: take an existing, well-known persistent package in IRIS and quickly build a usable UI and API around it — letting AI handle as much of the boilerplate as possible. Here is the result of the experiments.