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LLM and Go: OpenAI Integration via Chat Completions API
Let’s Build a conversational AI agent in Go using OpenAI’s Chat Completions API.
Marko Milojevic11 min read·4 days ago--
For most of my career, integrating external intelligence into an application meant calling a rules engine, training a custom classifier, or encoding business logic that someone had painfully documented in a spreadsheet.
The idea that I could describe a task in plain language and have a model respond with genuine reasoning was not something I expected to become production-ready in my working life. Then GPT happened, and it changed what backend developers need to know.
This article is the first in a series on using LLMs in Go. We start with the OpenAI Chat Completions API — the stateless, request-based interface that gives you direct control over every aspect of the conversation.
By the end, you will have a working conversational agent that can call external tools to answer questions it otherwise could not.
Originally published at https://www.ompluscator.com on March 5, 2026.
If you want to get more knowledge on Go and LLMs, you can check some other blogs from the series:
- LLM and Go: OpenAI Integration via Chat Completions API
Build a conversational AI agent in Go…
