The ipython_llm is a library built to integrate the services of OpenAI's Large Language Model (LLM) within the IPython environment. It allows the user to directly i niti ate and maintain a conversation with the model from an IPython interface.

To install the library, run:

pip install ipython_llm

To setup:

1. Install the library.
2. Get your OpenAI API key and set it as an environment variable.

export OPENAI_API_KEY=your_api_key_goes_here

After setting up, load the extension in IPython:

%load_ext ipython_llm

Once the extension has been loaded, a couple of magics are offered:

This magic sends a prompt to the LLM in a single IPython line.

To use the line magic, format :

%llm_prompt [optional parameters] your_prompt_here

The optional parameters include:

• -t, or --temperature, adjusts the output's randomness. The values range between 0 (fully deterministic) and 1 (maximum randomness).
• -c, or --clear, resets the conversation status with the model.
• -m, or --model, specifies another model alias to use.

Example:

%llm_prompt -t 0.5 -c Code to convert list to string in Python

The cell magic allows extended inputs spanning multiple lines.

To use the cell magic, write your prompt across several lines:

%%llm_prompt_cell
Your prompt here.
It can span multiple lines.

You can also include the optional parameters in the first line:

%%llm_prompt_cell -t 0.5 -c
Your prompt goes here.
It can span multiple lines.

In both the line and cell magic, if the LLM's response contains code (formatted with python), it is returned in a new IPython cell, ready to be executed. If there's no code, the model's plain text response is printed.

Current version is 0.0.1