stackexchange-...

StackExchange Q Count – A lightweight helper to quickly obtain the monthly volume of questions asked on any Stack Exchange site.

Features

• Fast execution – Uses an LLM to parse the user’s natural‑language query and return a precise count.
• Zero‑config – If you have an environment variable LLM7_API_KEY, the package will automatically pick it up.
• Extensible – Pass your own BaseChatModel instance (OpenAI, Anthropic, Google GenAI, etc.) to use an alternative LLM.
• Easy error handling – The function returns a list of strings containing the extracted answers or throws an informative exception.

Installation

pip install stackexchange-...

Quick start

from stackexchange_... import stackexchange_...

# Simple call using the default ChatLLM7
result = stackexchange_(...user_input="How many questions were asked on Stack Overflow in the last 6 months?")
print(result)

Tip: In the examples below, replace stackexchange_... and stackexchange_... with the real package and function names once you publish it (e.g. stackexchange_q).

Parameters

Using a Custom LLM

Rate Limits and API Key

• LLM7 free tier is sufficient for most use‑cases.
• For higher limits, provide your own key: stackexchange_(..., api_key="YOUR_KEY").
• You can also set the key via the environment variable LLM7_API_KEY.
• Obtain a free API key by registering at https://token.llm7.io/.

Author

Eugene Evstafev
Email: hi@euegne.plus
GitHub: chigwell

Issues

If you encounter any bugs or have feature requests, open an issue on GitHub:
https://github.com/chigwell/stackexchange-.../issues

License

MIT License – see the LICENSE file for details.