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Guide to building a structured Python SDK for LLM interaction

By PulseAugur Editorial · [1 sources] ·

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.

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Guide to building a structured Python SDK for LLM interaction

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Newsworthiness bucket
Tool
Tutorial on creating a software development kit (SDK) for interacting with LLMs.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
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Story freshness
59 days old
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COVERAGE [1]

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

    How to Create a Well-Structured Python SDK

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