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mag-safe-finder recommends the perfect MagSafe cable based on your inputs, highlighting compatibility, pros/cons, and care tips.

Project description

Mag-Safe-Finder

PyPI version License: MIT Downloads LinkedIn

A Python package that helps users find the perfect replacement for their lost or damaged MagSafe cable. The package processes user input to generate a structured list of recommended MagSafe cables, highlighting key features, compatibility, and potential drawbacks. It also provides troubleshooting tips and maintenance advice.

Installation

You can install the package via pip:

pip install mag_safe_finder

Usage

Here's a basic example of how to use the package:

from mag_safe_finder import mag_safe_finder

user_input = "I need a durable MagSafe cable for my MacBook Pro that won't fray easily."
response = mag_safe_finder(user_input=user_input)
print(response)

Using a Custom LLM

By default, the package uses ChatLLM7 from langchain_llm7 (see PyPI). However, you can pass your own LangChain-compatible LLM instance (based on LangChain documentation):

Using OpenAI

from langchain_openai import ChatOpenAI
from mag_safe_finder import mag_safe_finder

llm = ChatOpenAI()
response = mag_safe_finder(user_input="Your input here", llm=llm)

Using Anthropic

from langchain_anthropic import ChatAnthropic
from mag_safe_finder import mag_safe_finder

llm = ChatAnthropic()
response = mag_safe_finder(user_input="Your input here", llm=llm)

Using Google Generative AI

from langchain_google_genai import ChatGoogleGenerativeAI
from mag_safe_finder import mag_safe_finder

llm = ChatGoogleGenerativeAI()
response = mag_safe_finder(user_input="Your input here", llm=llm)

Parameters

  • user_input (str): The user input text to process.
  • llm (Optional[BaseChatModel]): The LangChain LLM instance to use. If not provided, the default ChatLLM7 will be used.
  • api_key (Optional[str]): The API key for LLM7. If not provided, the package will try to use the LLM7_API_KEY environment variable.

API Key for LLM7

The default rate limits for LLM7 free tier are sufficient for most use cases. If you need higher rate limits, you can:

  1. Set the LLM7_API_KEY environment variable, or
  2. Pass the API key directly: mag_safe_finder(..., api_key="your_api_key")

You can get a free API key by registering at https://token.llm7.io/.

Issues

If you encounter any issues or have feature requests, please open an issue on GitHub.

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