text2structured_summary

Generate structured summaries from unstructured text using an LLM.

Installation

pip install text2structured_summary

Usage

from text2structured_summary import text2structured_summary

# Basic usage with default LLM7
response = text2structured_summary(
    user_input="Your unstructured text here..."
)

# With custom LLM (e.g., OpenAI)
from langchain_openai import ChatOpenAI
from text2structured_summary import text2structured_summary

llm = ChatOpenAI()
response = text2structured_summary(
    user_input="Your unstructured text...",
    llm=llm
)

# With custom API key (LLM7)
response = text2structured_summary(
    user_input="Your unstructured text...",
    api_key="your_llm7_api_key"
)

Parameters

• user_input (str): The unstructured text to be summarized
• api_key (Optional[str]): LLM7 API key (defaults to environment variable LLM7_API_KEY)
• llm (Optional[BaseChatModel]): Custom LangChain LLM instance (defaults to ChatLLM7)

Features

• Uses LLM7 by default (free tier sufficient for most use cases)
• Supports custom LLMs via LangChain interface
• Returns structured summaries matching predefined pattern
• Automatic API key fallback from environment variables

Getting Started

1. Install the package
2. Call text2structured_summary() with your text
3. Get structured output matching the package's pattern

Notes

• For LLM7, register at https://token.llm7.io/ for your API key
• The default pattern ensures structured output format
• Custom LLMs must implement LangChain's BaseChatModel interface

Issues

Report issues at: https://github.com/chigwell/text2structured-summary/issues

Author

Eugene Evstafev (hi@euegne.plus)