Quick Start Dandy!

Installation

Just like most python packages you can easily install Dandy using pip.

pip install dandy

Create a Settings File

You can create a dandy_settings.py file in the root of your project with the following contents.

dandy_settings.py

import os
from pathlib import Path

ALLOW_DEBUG_RECORDING = True

BASE_PATH = Path.resolve(Path(__file__)).parent

LLM_CONFIGS = {
    'DEFAULT': {
        'TYPE': 'openai',
        'HOST': 'https://api.openai.com',
        'PORT': 443,
        'API_KEY': os.getenv('OPENAI_API_KEY'),
        'MODEL': 'gpt-4o-mini',
    }
}

# or

LLM_CONFIGS = {
    'DEFAULT': {
        'TYPE': 'ollama',
        'HOST': os.getenv("OLLAMA_HOST"),
        'PORT': int(os.getenv("OLLAMA_PORT", 11434)),
        'API_KEY': os.getenv("OLLAMA_API_KEY"), 
        'MODEL': 'llama3.1:8b',
    },}

Simple LLM Interaction

Once you have Dandy setup and configured you can easily get started with a simple LLM interaction.

from dandy.llm import LlmBot

response = LlmBot.process('What is the capital of Canada?')

print(response.text)

The capital of Canada is Ottawa.

Start Learning

Wow, that was easy ... we are only beginning to dive into the power of Dandy.

If you have already got the setup process complete you can skip right to the intel tutorial.