text2structured-summary generates structured summaries from unstructured text using an LLM.
-
Updated
Dec 21, 2025 - Python
text2structured-summary generates structured summaries from unstructured text using an LLM.
Efficient web information retrieval and summation without excessive token usage.
🌐 Retrieve and summarize web information efficiently with websumm-agent, a Python package designed for concise and structured responses.
📝 Generate structured summaries from unstructured text effortlessly with an LLM for enhanced clarity and organization.
Add a description, image, and links to the pattern-adherence topic page so that developers can more easily learn about it.
To associate your repository with the pattern-adherence topic, visit your repo's landing page and select "manage topics."