Learnify

Learnify is a Python package that helps software developers improve their learning strategies by analyzing self‑reported learning habits, goals, and challenges. Provide a description of your current learning routine (time management, resources, difficulties, etc.) and receive structured, actionable feedback with personalized recommendations.

Features

• Parses free‑form text about learning habits.
• Returns a clear, consistent, markdown‑formatted response with:
  • Effective learning techniques
  • Common pitfalls to avoid
  • Tips for optimizing study routines
• Works out‑of‑the‑box with the default ChatLLM7 model.
• Fully compatible with any LangChain‑compatible LLM (OpenAI, Anthropic, Google, …).

Installation

pip install learnify

Quick Start

from learnify import learnify

user_input = """
I usually study Python for about 1 hour each evening, but I often get distracted by
notifications. I read documentation and watch YouTube tutorials, but I never write
code projects. I feel stuck when trying to learn advanced topics like concurrency.
"""

# Use the default ChatLLM7 model (API key taken from env var LLM7_API_KEY)
response = learnify(user_input)

print(response)   # -> List of strings with the structured feedback

Advanced Usage – Plug in Your Own LLM

You can supply any LangChain LLM instance instead of the default ChatLLM7.

OpenAI

from langchain_openai import ChatOpenAI
from learnify import learnify

llm = ChatOpenAI(model="gpt-4o")   # configure as you like
response = learnify(user_input, llm=llm)

Anthropic

from langchain_anthropic import ChatAnthropic
from learnify import learnify

llm = ChatAnthropic(model_name="claude-3-5-sonnet")
response = learnify(user_input, llm=llm)

Google Gemini

from langchain_google_genai import ChatGoogleGenerativeAI
from learnify import learnify

llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro")
response = learnify(user_input, llm=llm)

Parameters

Parameter	Type	Description
user_input	str	The free‑form text describing the developer's learning habits, goals, and challenges.
llm	Optional[BaseChatModel]	A LangChain LLM instance to use. If omitted, ChatLLM7 is created automatically.
api_key	Optional[str]	API key for LLM7. If not provided, the function tries to read LLM7_API_KEY from the environment.

LLM7 Default Model

• Package: langchain_llm7 – https://pypi.org/project/langchain-llm7/
• Free‑tier rate limits are sufficient for typical usage.
• To obtain a free API key, register at: https://token.llm7.io/

You can also pass a custom key:

response = learnify(user_input, api_key="YOUR_LLM7_API_KEY")

License

This project is licensed under the MIT License.

Author

• Eugene Evstafev – hi@eugene.plus

Repository & Support

• GitHub: https://github.com/chigwell/learnify
• Issues: https://github.com/chigwell/learnify/issues

Feel free to open an issue for bugs, feature requests, or questions. Happy learning!