Pricewise-Hardware

A Python package designed to assist users in making informed purchasing decisions for servers, RAM, and flash storage during market price fluctuations.

Features

• Hardware Recommendations: Get tailored hardware configurations based on your specific needs.
• Price Trend Analysis: Understand market price trends to make informed decisions.
• Optimal Purchasing Strategies: Receive data-driven advice to secure the best value for your investments.
• Flexible LLM Integration: Use any LangChain-compatible LLM for processing.

Installation

pip install pricewise_hardware

Usage

Basic Usage

from pricewise_hardware import pricewise_hardware

user_input = "I need a server with 64GB RAM and 1TB SSD, my budget is $2000."
response = pricewise_hardware(user_input)
print(response)

Using a Custom LLM

You can use any LangChain-compatible LLM by passing it to the pricewise_hardware function.

Example with OpenAI

from langchain_openai import ChatOpenAI
from pricewise_hardware import pricewise_hardware

llm = ChatOpenAI()
response = pricewise_hardware(user_input, llm=llm)
print(response)

Example with Anthropic

from langchain_anthropic import ChatAnthropic
from pricewise_hardware import pricewise_hardware

llm = ChatAnthropic()
response = pricewise_hardware(user_input, llm=llm)
print(response)

Example with Google

from langchain_google_genai import ChatGoogleGenerativeAI
from pricewise_hardware import pricewise_hardware

llm = ChatGoogleGenerativeAI()
response = pricewise_hardware(user_input, llm=llm)
print(response)

Using LLM7 API Key

By default, the package uses the ChatLLM7 from langchain_llm7. If you want to use a specific API key, you can pass it directly or set it as an environment variable.

Using Environment Variable

export LLM7_API_KEY="your_api_key"

Passing API Key Directly

from pricewise_hardware import pricewise_hardware

user_input = "I need a server with 64GB RAM and 1TB SSD, my budget is $2000."
response = pricewise_hardware(user_input, api_key="your_api_key")
print(response)

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 environment variable LLM7_API_KEY will be used.

Rate Limits

The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits, you can get a free API key by registering at LLM7.

Issues

If you encounter any issues, please report them on the GitHub issues page.

Author

• Eugene Evstafev
• Email: hi@eugene.plus
• GitHub: chigwell