OpenAI Conversation Memory in Python
In the previous lesson, we learned how to structure messages and provide instructions to the OpenAI Responses API. But consider a user who says, “My favorite language is Python,” and…
OpenAI Responses API Explained: Requests, Inputs, and Response Objects
In the previous lesson, we learned how to initialize and configure the OpenAI Python client. But creating a client is only the starting point. An AI application becomes useful when…
Understanding the OpenAI Python Client: Initialization, Configuration, and API Requests
In the previous tutorial, we installed the OpenAI Python SDK and sent our first API request. The example included one important line: client = OpenAI(). Although it looks simple, this…
Install the OpenAI Python SDK and Make Your First API Call
In Blog 01, we explored what the OpenAI Python SDK does and where it fits in an application. Now it’s time to use it. By the end of this tutorial,…
Introduction to the OpenAI Python SDK: Architecture, Features & Use Cases
You may already use AI chatbots to answer questions, summarize articles, or explain code. But how do you bring similar capabilities into your own Python application? Whether you’re building a…
Build Local AI Coding Agent Setup 100% working
A local AI coding setup lets you work with an AI model hosted on hardware you control. With OpenCode handling the development workflow and Ollama serving the model, you can…
Increase Context Size of AI Models in Ollama
I was using a qwen3-coder:30b local model to build an application when the attempt ran into errors. Before changing the model, I wanted to investigate one possible cause: was its…
How to Connect OpenCode to Your Local Ollama Models
If you already use Ollama to run AI models locally, you can connect those models to OpenCode and use them for agentic coding. The best part is that you do…