duckai
AI chat using the DuckDuckGo.com search engine.
‼️ Chat ratelimit: 1 request per 15 seconds
Supported OS:
🐧 Linux: amd64
🪟 Windows: amd64
🍏 macOS: amd64, arm64
Table of Contents
Install
pip install -U duckai
CLI version
duckai --help
CLI examples:
duckai chat
DuckAI class
The DuckAI classes is used to retrieve chat results from DuckDuckGo.com.
class DuckAI:
"""duckai class to get search results from duckduckgo.com
Args:
proxy (str, optional): proxy for the HTTP client, supports http/https/socks5 protocols.
example: "http://user:pass@example.com:3128". Defaults to None.
timeout (int, optional): Timeout value for the HTTP client. Defaults to 10.
verify (bool): SSL verification when making the request. Defaults to True.
"""
Here is an example of initializing the DuckAI class.
from duckai import DuckAI
results = DuckAI().chat("python programming")
print(results)
Proxy
Package supports http/https/socks proxies. Example: http://user:pass@example.com:3128.
Use a rotating proxy. Otherwise, use a new proxy with each DuckAI class initialization.
1. The easiest way. Launch the Tor Browser
duckai = DuckAI(proxy="tb", timeout=20) # "tb" is an alias for "socks5://127.0.0.1:9150"
results = duckai.chat("something you need", model="mistral-small-3")
2. Use any proxy server (example with iproyal rotating residential proxies)
duckai = DuckAI(proxy="socks5h://user:password@geo.iproyal.com:32325", timeout=20)
results = duckai.chat("something you need", model="mistral-small-3")
3. The proxy can also be set using the DUCKAI_PROXY environment variable.
export DUCKAI_PROXY="socks5h://user:password@geo.iproyal.com:32325"
Exceptions
from duckai.exceptions import (
ConversationLimitException,
DuckAIException,
RatelimitException,
TimeoutException,
)
Exceptions:
DuckAIException: Base exception for duckai errors.RatelimitException: Inherits from DuckAIException, raised for exceeding API request rate limits.TimeoutException: Inherits from DuckAIException, raised for API request timeouts.ConversationLimitException: Inherits from DuckAIException, raised for conversation limit during API requests to AI endpoint.
1. chat() - AI chat
def chat(self, keywords: str, model: str = "gpt-4o-mini", timeout: int = 30) -> str:
"""Initiates a chat session with DuckDuckGo AI.
Args:
keywords (str): The initial message or question to send to the AI.
model (str): The model to use: "gpt-4o-mini", "llama-3.3-70b", "claude-3-haiku",
"o3-mini", "mistral-small-3". Defaults to "gpt-4o-mini".
timeout (int): Timeout value for the HTTP client. Defaults to 30.
Returns:
str: The response from the AI.
"""
Example
results = DuckAI().chat("summarize Daniel Defoe's The Consolidator", model='claude-3-haiku')
# There is also `chat_yield` generator which yields chunks while a response is being processed:
for x in DuckAI().chat_yield("How Do Airplanes Fly", model='llama-3.3-70b'):
print(x)
Disclaimer
This library is not affiliated with DuckDuckGo and is for educational purposes only. It is not intended for commercial use or any purpose that violates DuckDuckGo's Terms of Service. By using this library, you acknowledge that you will not use it in a way that infringes on DuckDuckGo's terms. The official DuckDuckGo website can be found at https://duckduckgo.com.
Metadata
Release files for duckai 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 1.3 MB
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Release files / duckai-0.3.1-cp313-cp313-macosx_10_13_x86_64.whl
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Release files / duckai-0.3.1-cp312-cp312-win_amd64.whl
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Release files / duckai-0.3.1-cp312-cp312-macosx_11_0_arm64.whl
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Release files / duckai-0.3.1-cp312-cp312-macosx_10_13_x86_64.whl
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Release files / duckai-0.3.1-cp311-cp311-macosx_11_0_arm64.whl
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Release files / duckai-0.3.1-cp311-cp311-macosx_10_9_x86_64.whl
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Release files / duckai-0.3.1-cp310-cp310-macosx_11_0_arm64.whl
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