TechUpdate Extractor

TechUpdate Extractor is a Python package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support changes or driver updates and outputs a detailed, organized report highlighting key components affected, compatibility considerations, and recommended actions, ensuring clarity for system administrators or developers.

Installation

To install the TechUpdate Extractor package, run the following command:

pip install techupdate_extractor

Usage

Here is an example of how to use the techupdate_extractor function:

from techupdate_extractor import techupdate_extractor

user_input = "Example hardware update summary text."
response = techupdate_extractor(user_input)
print(response)

Using a Custom LLM

You can also use a custom LLM instance from LangChain. For example, to use the OpenAI LLM:

from langchain_openai import ChatOpenAI
from techupdate_extractor import techupdate_extractor

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

Or to use the Anthropic LLM:

from langchain_anthropic import ChatAnthropic
from techupdate_extractor import techupdate_extractor

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

Or to use the Google LLM:

from langchain_google_genai import ChatGoogleGenerativeAI
from techupdate_extractor import techupdate_extractor

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

Using an API Key

If you want to use a specific API key for LLM7, you can pass it directly or set it as an environment variable:

from techupdate_extractor import techupdate_extractor

# Using an API key directly
response = techupdate_extractor(user_input, api_key="your_api_key")

# Or set the environment variable
import os
os.environ["LLM7_API_KEY"] = "your_api_key"
response = techupdate_extractor(user_input)

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.

Default LLM

By default, the package uses ChatLLM7 from the langchain_llm7 package. You can find more information about ChatLLM7 here.

Rate Limits

The default rate limits for the LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits, you can pass your own API key via the api_key parameter or set the LLM7_API_KEY environment variable. 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