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

# Standard OpenAI API config

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

# or if using the Ollama API

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': 'qwen3:30b-instruct',
    },}

Simple LLM Interaction

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

from dandy import Bot

response_intel = Bot().process('What is the capital of Canada?')

print(response_intel.text)

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 and learn more about how Dandy works.