How to Integrate Claude or GPT into a Python App: A Developer Guide

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A technical guide published on DEV Community explains how to integrate large language models (LLMs) such as Anthropic's Claude, OpenAI's GPT, and Google's Gemini into Python applications. All three providers offer official Python SDKs and HTTP APIs that follow a similar pattern: sending a list of messages and receiving a generated response. The guide covers key implementation topics including streaming output token by token, requesting structured JSON responses to avoid parsing errors, and managing API costs through token limits and prompt caching. Developers are advised to store API keys in environment variables rather than hardcoding them, and to handle errors using typed exceptions since official SDKs automatically retry rate-limit and server errors. The article recommends choosing model size based on task complexity, using larger models for reasoning and smaller ones for high-volume classification.

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