Predefined Format Python Packages

sec-summary-llm

packages extracts structured summaries from security and government texts using LLM

text-to-struct

text-to-struct converts unstructured text into standardized, structured output

chronicle-ai

Chronicle-ai extracts and summarizes historical queries into structured, formatted summaries using llmatch-messages for clarity.

go-concise-summary

A new package would take a technical description or code snippet related to concurrency in Go and generate a structured summary of the concept, such as a fair, cancelable semaphore. It would extract k

pre-v7-unix-summarizer

A new package that processes text input related to early Unix history (pre-V7) and returns structured, verified summaries using pattern matching and LLM interactions. It takes user-provided text (e.g.

headline-parser

A new package that processes news headlines or short text snippets to generate structured summaries of current events. It uses an LLM to extract key entities, topics, and sentiment, ensuring the outpu

thematic-structurizer

A new package would process user-provided text input related to historical or thematic content—such as summaries, descriptions, or analyses of topics like persuasion techniques from antiquity—and retu