LLM API Guide: Python, JSON, and Tool Calling Explained

This article provides a technical guide for engineers on how to interact with Large Language Model (LLM) APIs. It explains that LLM APIs function similarly to a pure function, requiring the entire conversation history to be resent with each call. The guide covers essential aspects such as constructing message arrays with specific roles (system, user, assistant, tool), handling API requests and responses (including streaming and structured JSON output), and managing tool-calling capabilities and potential errors like rate limits. AI

IMPACT Provides practical guidance for developers integrating LLM capabilities into applications.

RANK_REASON Technical guide on using LLM APIs.

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• HTTP
• LLM API
• Python

• product
• infra

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