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YAML-based LLM configuration and execution

Project description

YAMLLM

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

Installation

pip install yamllm

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. 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

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