Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
Hello all,
I have a EnsLib.HTTP.GenericMessage inbound from a webhook with a GC stream.
My router is defined as the following:
This article is intended as a beginner level article for people that want to learn how to use OAuth2 in their web applications natively.
There is an accompanying video/demo that may be helpful here:
and you can reproduce this locally with the Open Exchange application attached.
OAuth (Open Authorization) 2.0 is a standard way to let one application call another application’s API without sharing a username and password.
Introduction — The Problem with AI Streaming in ObjectScript
Today, I would like to introduce a problem I encountered and the solution I found when integrating AI APIs into an ObjectScript application. My initial tests were successful, yet somewhat frustrating.
The HTTP call worked; the request was properly sent to my LLM APIs. But then, silence... a long wait. Eventually, the entire response arrived as a single block.
Technically, it worked, but the user experience was disappointing compared to a ChatGPT session.
If you have ever dug through a large IRIS namespace looking for where a particular string, method call, or pattern was used, you know the pain: there was no built-in way to do a grep-style search across your server-side ObjectScript code from VS Code — at least not without jumping through some hoops.
That is what ObjectScript Search fixes.
Try it today with a simple install from the VS Code Marketplace. If you don't like it, uninstalling is just as easy. But I think you will like it — it is a huge quality-of-life improvement for anyone doing ObjectScript development in VS Code.
How many times have we migrated an IRIS Instance to another machine, maybe even another version, and after a few days realized we forgot that one SSL Configuration critical for a Business Operations to work? Or maybe a credential, or a lonely class in a package by itself?
The simple solution is to make a checklist¹. A checklist of the entities we have to move. But simple checklists on Word documents are often forgotten, or just ignored.
How to set up RAG for OpenAI agents using IRIS Vector DB in Python
In this article, I’ll walk you through an example of using InterSystems IRIS Vector DB to store embeddings and integrate them with an OpenAI agent.
To demonstrate this, we’ll create an OpenAI agent with knowledge of InterSystems technology. We’ll achieve this by storing embeddings of some InterSystems documentation in IRIS and then using IRIS vector search to retrieve relevant content—enabling a Retrieval-Augmented Generation (RAG) workflow.
Note: Section 1 details how process text into embeddings.