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.

# IRIS-Intelligent Butler
IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction.
## Application scenarios
adding services, initializing configurations, etc. are currently being enriched
## Intelligent Butler

If you want to know if a class about a topic already exists asking a simple natural language question, it is possible now. Download and run the application https://openexchange.intersystems.com/package/langchain-iris-tool to know all about your project classes in a Chat.

Hi all,

As part of the development an API to know what is the instance of IRIS is connected, I've found some methods to know information about the server that can help you.

Get the server name: $SYSTEM.INetInfo.LocalHostName()

Get the server IP: $SYSTEM.INetInfo.HostNameToAddr($SYSTEM.INetInfo.LocalHostName())

Get the instance name: $PIECE($SYSTEM,":",2)

I have a business service which is responsible for some batch operations with an SQL table. The process is generally slow but it is possible to scale the performance using multithreading and/or parallel processing and logical partitioning (postgres):

I just realized I never finished this serie of articles!

In today's article, we'll take a look at the production process that extracts the ICD-10 diagnoses most similar to our text, so we can select the most appropriate option from our frontend.

Looking for diagnostic similarities:

From the screen that shows the diagnostic requests received in HL7 in our application, we can search for the ICD-10 diagnoses closest to the text entered by the professional.

Prompt

Firstly, we need to understand what prompt words are and what their functions are.

Prompt Engineering

Hint word engineering is a method specifically designed for optimizing language models.
Its goal is to guide these models to generate more accurate and targeted output text by designing and adjusting the input prompt words.

Introduction

As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Security - Granular Access Control to Files with Fapolicyd @ Global Summit 2024

https://www.youtube.com/embed/qMJcALKsNVE
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Hi Community!

I'm very excited to share with you some highlights from yesterday, from UK&I Data Summit in Birmingham! There are exciting announcements, FREE tickets to the Summit and much more, so read on!

Now it is possible ask your IRIS server using an AI Chat or compose other agent applications to get:

I'd like to ask you for recommendations on how to properly use repository dependencies when using VSCode and Client-side editing.
Suppose I have projects A, B and C, with A being independent, B depending on A, and C depending on A and B.
I am currently working with the main project C, and I want to be able to contribute to all the other projects in a single VSCode window (instead of opening three instances). How do you solve this problem? Git submodules? ZPM? Something else?

We are receiving the report in text format and it has special characters like ', - like that in the text. Source system is using the UTF8 encoding format hence the text is showing as ' � ' . Is there a way to convert the utf8 to actual character in the DTL.

Thank you,

Hey Community,

It's time for the first programming contest of the year, and there's a surprise so read on! Please welcome:

🏆 InterSystems AI Programming Contest: Vector Search, GenAI, and AI Agents 🏆

Duration: March 17 - April 6, 2025

Prize pool: $12,000 + a chance to be invited to the Global Summit 2025!