Howdy,
I have a Jupyter instance running, installed on MX Linux via mamba from miniconda as a dependency for ipympl and jupyter-ai, with the jupyter-ai chat working well enough for me to have back-and-forth with OpenAI models. However, I cannot use the Jupyternaut /commands with OpenAI embedding models to work with local data, it seems because both the embedding and LLM models both use the same API key in jupyter-ai. I tried talking to ChatGPT about it, which recommended setting an environment variable for each key, but the names it suggested are nowhere to be found in the jupyter-ai documentation. The screenshot shows a field for OPENAI_API_KEY, which I set via the web GUI, and not another for the embedding model.
I know that jupyter-ai is Jupyter-official, so I hope that you can show me what I’m missing.
Much obliged,
Upset_MOSFET