LLM Config

Note: This project is not yet available on GitHub.

Overview

LLM Config is a utility library that provides consistent configuration patterns for LLM-powered applications. Instead of duplicating configuration logic across projects, this library centralizes provider setup, API key management, and common settings.

Key Features

• Provider Abstraction: Unified configuration for OpenAI, Anthropic, Google, and Ollama.
• Environment Loading: Automatic loading of API keys from environment variables.
• Default Presets: Sensible defaults for common use cases.
• Validation: Configuration validation before use.
• Import as Library: Simple import llm_config usage.

Technical Architecture

The library provides a simple configuration interface that reads from environment variables and configuration files, returning properly initialized client configurations for supported providers.

Technology Stack

• Language: Python 3.11+
• Dependencies: Minimal—designed to be a lightweight utility
• Distribution: pyproject.toml for modern Python packaging

Current Status

Active and stable. Used across multiple projects in this ecosystem for consistent LLM setup.