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
ChatLLM7will be used. - api_key (Optional[str]): The API key for LLM7. If not provided, the environment variable
LLM7_API_KEYwill 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
Metadata
Release files for pricewise-hardware 2025.12.21185315
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pricewise_hardware-2025.12.21185315.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pricewise_hardware-2025.12.21185315-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.9 kB
Release files / pricewise_hardware-2025.12.21185315.tar.gz
| Download URL | pricewise_hardware-2025.12.21185315.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
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Release files / pricewise_hardware-2025.12.21185315-py3-none-any.whl
| Download URL | pricewise_hardware-2025.12.21185315-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.1
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