secsummarize 2025.12.20202849

This package processes user-provided text to generate structured summaries of security-related topics, such as incident reports or research findings, extracting key insights, vulnerabilities, and reco

secsummarize

A Python package for generating structured summaries of security-related topics from user-provided text.

Features

• Extracts key insights, vulnerabilities, and recommendations from security-related text.
• Supports custom LLM instances for flexible integration.
• Uses ChatLLM7 by default (from langchain_llm7).
• Free tier rate limits are sufficient for most use cases.

Installation

pip install secsummarize

Usage

Basic Usage

from secsummarize import secsummarize

user_input = "Your security-related text here."
response = secsummarize(user_input)
print(response)

Using a Custom LLM

OpenAI

from langchain_openai import ChatOpenAI
from secsummarize import secsummarize

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

Anthropic

from langchain_anthropic import ChatAnthropic
from secsummarize import secsummarize

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

Google

from langchain_google_genai import ChatGoogleGenerativeAI
from secsummarize import secsummarize

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

Using an API Key

from secsummarize import secsummarize

user_input = "Your security-related text here."
api_key = "your_api_key_here"
response = secsummarize(user_input, api_key=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.

Getting an API Key

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 - LinkedIn
• Email: [e-mail]

License

This project is licensed under the MIT License - see the LICENSE file for details.