PulseAugur
EN
LIVE 22:45:40

Guide to building a structured Python SDK for LLM interaction

This article provides a tutorial on creating a well-structured Python SDK, drawing from the author's experience developing a tool to interact with Large Language Models (LLMs) hosted on Ollama. The SDK supports outputting responses in PDF, TXT, or JSON formats and includes a command-line interface for enhanced usability. Key aspects covered include organizing SDK files into logical directories with a class-per-file approach, utilizing `__init__.py` files to define Python packages, and incorporating essential files for distribution and usability. AI

IMPACT Provides guidance on building tools that interface with LLMs, potentially simplifying integration for developers.

RANK_REASON Tutorial on creating a software development kit (SDK) for interacting with LLMs.

Read on Towards AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Guide to building a structured Python SDK for LLM interaction

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Asma Houimli ·

    How to Create a Well-Structured Python SDK

    <figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/0*oy1-E3sSdiWXRKD5" /><figcaption>Photo by <a href="https://unsplash.com/@emilep?utm_source=medium&amp;utm_medium=referral">Emile Perron</a> on <a href="https://unsplash.com?utm_source=medium&amp;utm_medium=referra…