yamllm-core 0.1.5

YAML-based LLM configuration and execution

YAMLLM

A Python library for YAML-based LLM configuration and execution.

Installation

pip install yamllm-core

Quick Start

from yamllm import LLM
import os

# Initialize LLM with config
llm = LLM(config_path="path/to/config.yaml")
llm.api_key = os.environ.get("OPENAI_API_KEY")

# Make a query
response = llm.query("What is the meaning of life?")
print(response)

Configuration

YAMLLM uses YAML files for configuration. Set up a .config file to define the parameters for your LLM instance. This file should include settings such as the model type, temperature, maximum tokens, and system prompt.

Example configuration:

model: gpt-4-turbo-preview
temperature: 0.7
max_tokens: 500
system_prompt: "You are a helpful AI assistant."

Place the .config file in your project directory and reference it in your code to initialize the LLM instance.

Example configuration:

model: gpt-4-turbo-preview
temperature: 0.7
max_tokens: 500
system_prompt: "You are a helpful AI assistant."

Features

• YAML-based configuration
• Simple API interface
• Customizable prompt templates
• Error handling and retry logic

License

MIT License