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LLM Client SDK

LLM Client SDK is a Python library that provides asynchronous and synchronous interfaces for integrating applications with multiple hosted generative language-model providers and local Transformers models.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

LLM Client SDK — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when building a Python application that needs a shared interface for supported hosted LLM APIs or a separate local Transformers client path.

Who it is for

  • Python developers adding language-model calls to applications.
  • Teams seeking a shared client interface across listed LLM providers.
  • Developers integrating local models through Transformers.

Documented uses

  • Call text and chat completion methods.
  • Generate embeddings and count tokens through the documented client interfaces.
  • Choose provider-specific installation extras rather than installing every client.
Before you choose

Requirements & limits

The repository is public and identifies the project as MIT-licensed.

  • Python 3.9 or later is required.
  • The base installation does not include provider clients; select an appropriate install extra.
  • Hosted API examples use provider credentials, while local Transformers support has its own optional dependency extra.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up an OpenAI client for async calls

Prepare the documented asynchronous OpenAI client pattern with an API key and an aiohttp session.

Before you start

  • Python 3.9 or later
  • The llm-client package with OpenAI support, installed using the documented openai extra
  • An OpenAI API key

Steps

  1. Install the OpenAI client extra with the command below.

    Documented command
    pip install llm-client[openai]

  2. Import ClientSession, OpenAIClient and LLMAPIClientConfig from the documented modules.

  3. Within an async function, open a ClientSession context and create OpenAIClient with a configuration containing the API key and session; set a default model if needed.

Expected outcome

An initialized asynchronous OpenAI client, ready for the documented completion, chat, embedding and token-counting methods.

Guide limitations

  • The guide covers client setup, not execution of a model request.
  • An OpenAI API key is required for the provider integration.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
18 October 2026
Original website title
uripeled2/llm-client-sdk · Official homepage title · retained in its source language
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