Call an LLM API from Python

After this lesson you can: Make your first API call and handle the response in code.

First: Functions, imports and modules, Getting structured output you can parse

Watch

• OpenAI API With Python Tuorial 1-ChatCompletion API and Completion API - Krish Naik, 37 min. Direct Python walkthrough for first OpenAI-style chat/completion calls, suitable for engineers new to LLM APIs.
• OpenAI Api Crash Course For Beginners | Financial Data Extraction Tool Using OpenAI API - codebasics, 25 min. Beginner-friendly applied walkthrough that turns an API call into a concrete Python extraction tool.
• How To Build an API with Python (LLM Integration, FastAPI, Ollama & More) - Tech With Tim, 21 min. Shows LLM integration in a Python API context, useful once the basic call pattern is understood.

Notes

Calling an LLM API from Python is just normal HTTP-backed programming with a slightly unusual response shape. You create an account with a provider that has a free tier, get an API key, install its Python client or use requests, send a model name plus your input, and receive a response object containing generated text or structured data. The important first win is not building a product; it is proving that your code can send a prompt and read the model’s answer reliably.

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