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OpenAI API SDK

The OpenAI API SDK is a client library that enables applications to programmatically interact with OpenAI APIs and services.

How 2 Manning books explain it

Data Analysis with LLMs

An OpenAI client is an object that represents a configured programmatic connection to OpenAI model services.

How it is used
Automates model calls within Python data-processing pipelines instead of submitting large batches of prompts through a web interface.
How deep it goes
Walks through installation, authentication, client creation, model listing, and chat-completion inputs and outputs, then identifies configuration parameters.
Examples
Shows Python listings for available-model lookup and GPT-4o chat completion, plus a positive-or-negative sentiment-classification pipeline.
What you can do after
Build it from scratch: configure a Python client, choose a model, submit chat messages, and incorporate calls into a classification pipeline.

Read how Data Analysis with LLMs explains OpenAI API SDK →

Build Python Web Apps with Streamlit

The OpenAI Python module is a client library for accessing OpenAI APIs from Python programs.

How it is used
Calls OpenAI APIs from Python applications through a client library, using chat completions for text generation.
How deep it goes
Explains installation, client creation, message roles, requests, and response extraction; stops short of implementing other endpoints.
Examples
Uses a Streamlit explanation prompt and an Llm wrapper class with an ask method.
What you can do after
Apply it via the OpenAI Python library to send conversational prompts and retrieve generated text.

Read how Build Python Web Apps with Streamlit explains OpenAI API SDK →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.