Skip to main content

Chronicle AI

PyPI version License: MIT Downloads LinkedIn

Extract and summarize key information from historical or factual queries.

Overview

Chronic AI is a Python package that helps users obtain well-structured information from complex or detailed queries. It takes a user's input text, such as a question about historical events or facts, and returns a structured summary. This summary includes the main points, context, and relevant details, ensuring the information is presented in a clear and organized manner.

Features

  • Structured Summaries: Obtain clear and organized summaries of complex queries.
  • Predefined Format: Ensure output adheres to a predefined format with the help of llmatch-messages.
  • Easy to Use: Leverage the package to quickly obtain structured information from detailed queries.

Installation

pip install chronicle_ai

Usage

from chronicle_ai import chronicle_ai

response = chronicle_ai(user_input="What were the main causes of World War I?")
print(response)

Parameters

  • user_input: The user input text to process. (Type: str)
  • llm: The langchain llm instance to use. If not provided, the default ChatLLM7 will be used. (Type: Optional[BaseChatModel])
  • api_key: The api key for llm7. If not provided, the free tier api key will be used. (Type: Optional[str])

Defaults

  • The package uses the ChatLLM7 from langchain_llm7 by default. Devs can safely pass their own llm instance (based on https://docs.langchain.com/) if they want to use another LLM.

Examples

from langchain_openai import ChatOpenAI
from chronicle_ai import chronicle_ai
llm = ChatOpenAI()
response = chronicle_ai(user_input="What were the main causes of World War I?", llm=llm)
from langchain_anthropic import ChatAnthropic
from chronicle_ai import chronicle_ai
llm = ChatAnthropic()
response = chronicle_ai(user_input="What were the main causes of World War I?", llm=llm)
from langchain_google_genai import ChatGoogleGenerativeAI
from chronicle_ai import chronicle_ai
llm = ChatGoogleGenerativeAI()
response = chronicle_ai(user_input="What were the main causes of World War I?", llm=llm)

Rate Limits

The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If devs want higher rate limits for LLM7 they can pass their own api_key via environment variable LLM7_API_KEY or via passing it directly like chronicle_ai(user_input, api_key="their_api_key").

Getting a Free API Key

Dev can get a free api key by registering at https://token.llm7.io/.

Author

Eugene Evstafev ( GitHub: chigwell ) ( hi@eugegne.plus )

GitHub Issues

https://github.com/chigwell/chronicle-ai/issues

Metadata

Release files for chronicle-ai 2025.12.22081740

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for chronicle-ai 2025.12.22081740
File Size Uploaded
chronicle_ai-2025.12.22081740.tar.gz 4.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for chronicle-ai 2025.12.22081740
File Interpreter ABI Platform
chronicle_ai-2025.12.22081740-py3-none-any.whl Python 3 none any Details

Total release size: 9.0 kB

Release files / chronicle_ai-2025.12.22081740.tar.gz

Download URL chronicle_ai-2025.12.22081740.tar.gz
Size 4.2 kB
Tags Source
SHA-256 checksum
How to use checksums
33c35e2439250b104f57c01c7c4b5d40416cdb19908b19d45e6fa5f84a960101
BLAKE2b-256 checksum
How to use checksums
1a812cc036a2beeb567f932d5e01906f46ec0cf3ed034bd0e9769ed161442f33
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.1

Release files / chronicle_ai-2025.12.22081740-py3-none-any.whl

Download URL chronicle_ai-2025.12.22081740-py3-none-any.whl
Size 4.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6b3b453277d3963194bc1007fae9549d81dd31268c1afde1948299b50fb8ceaf
BLAKE2b-256 checksum
How to use checksums
29c7bf2e3cf0d902e549fa096fb2d2971c00a47805b242edb0a68b3974779f3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.1

Release history Release notifications | RSS feed

This release

2025.12.22081740 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page