DuckDuckAI 1.0.3

A package to interact with DuckDuckGo AI-powered search

DuckDuckAI

DuckDuckAI is a Python package for interacting with DuckDuckGo's chat API. It allows you to fetch responses from DuckDuckGo's AI models and print them in a streamed format or as a complete response.

Installation

To install the DuckDuckAI package, you can use pip:

pip install DuckDuckAI

Usage

You can interact with DuckDuckAI by calling the ask function. It supports both streaming responses or returning the entire message at once.

Example

from duckduckai import ask

# Fetch response in streamed format (printing character by character)
ask("Tell me a joke", stream=True)

# Fetch response as a complete message
response = ask("Tell me a joke", stream=False)
print(response)

Parameters

Parameter	Type	Description	Default
query	str	The search query string.	Required
stream	bool	Whether to stream results or fetch them all at once.	True
model	str	The model to use for the response.	gpt-4o-mini

Available Models

DuckDuckAI currently supports the following models:

Model ID	Description
gpt-4o-mini	A smaller variant of GPT-4o designed for quick, concise responses with less computation.
meta-llama/Llama-3.3-70B-Instruct-Turbo	Meta's large-scale Llama 3.3 model with 70 billion parameters designed for fast and accurate responses.
claude-3-haiku-20240307	Anthropic's Claude 3 Haiku model optimized for efficient, high-quality responses.
mistralai/Mistral-Small-24B-Instruct-2501	Mistral AI's 24 billion parameter model trained for instruction-based tasks.
o3-mini	OpenAI's compact reasoning model optimized for lightweight performance.

Additional models may be available but subject to access restrictions. Some models may require specific permissions or may not be available in all regions.

Advanced Usage

You can reuse the authentication token to make multiple requests more efficiently:

from duckduckai import ask, fetch_token

# Fetch a token once
token = fetch_token()

# Use the same token for multiple requests
response1 = ask("What is quantum computing?", model="gpt-4o-mini", token=token)
response2 = ask("Explain neural networks", model="claude-3-haiku-20240307", token=token)

License

This project is licensed under the Apache-2.0 license - see the LICENSE file for details.