---
title: 'Jupyter AI Language Model Provider Issue'
url: 'https://mcavdar.com/blog/jupyter-ai-language-model-provider-issue'
markdown: 'https://mcavdar.com/blog/jupyter-ai-language-model-provider-issue.md'
date: '2026-07-28'
description: "Hi, If you've recently installed Jupyter-AI and tried interacting with popular providers like OpenAI, Ollama, or others, you may have noticed that a minimal installation(pip install jupyter-ai) is missing some necessary packages. At this point, you have two options: Install the full version with p…"
taxonomy:
  tag:
    - jupyter-ai
    - ollama
    - openai
    - llm
    - pip
    - conda
    - langchain
---

# Jupyter AI Language Model Provider Issue

## [Jupyter AI Language Model Provider Issue](https://mcavdar.com/blog/jupyter-ai-language-model-provider-issue)

    28th Jul 2026   [jupyter-ai](https://mcavdar.com/tag:jupyter-ai#body-wrapper) [ollama](https://mcavdar.com/tag:ollama#body-wrapper) [openai](https://mcavdar.com/tag:openai#body-wrapper) [llm](https://mcavdar.com/tag:llm#body-wrapper) [pip](https://mcavdar.com/tag:pip#body-wrapper) [conda](https://mcavdar.com/tag:conda#body-wrapper) [langchain](https://mcavdar.com/tag:langchain#body-wrapper)  

Hi,

If you've recently installed Jupyter-AI and tried interacting with popular providers like OpenAI, Ollama, or others, you may have noticed that a minimal installation(`pip install jupyter-ai`) is missing some necessary packages.

At this point, you have two options:

- Install the full version with pip `install jupyter-ai[all]`.
- Install the additional package for your chosen provider. E.g. `pip install langchain-openai`

Unfortunately, running `pip install jupyter-ai[all]` can result in an infinite installation loop due to pip's dependency resolution, often without success. 😞

``INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.`

Additionally, installing the individual package for your chosen provider may lead to dependency conflicts, such as the one shown below: 😞

```
$ pip install langchain-openai
....
Installing collected packages: tqdm, regex, jiter, distro, tiktoken, openai, langchain-core, langchain-openai
  Attempting uninstall: langchain-core
    Found existing installation: langchain-core 0.2.43
    Uninstalling langchain-core-0.2.43:
      Successfully uninstalled langchain-core-0.2.43
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
langchain 0.2.16 requires langchain-core<0.3.0,>=0.2.38, but you have langchain-core 0.3.15 which is incompatible.
langchain-community 0.2.17 requires langchain-core<0.3.0,>=0.2.39, but you have langchain-core 0.3.15 which is incompatible.
langchain-text-splitters 0.2.4 requires langchain-core<0.3.0,>=0.2.38, but you have langchain-core 0.3.15 which is incompatible.
Successfully installed distro-1.9.0 jiter-0.7.0 langchain-core-0.3.15 langchain-openai-0.2.5 openai-1.53.0 regex-2024.9.11 tiktoken-0.8.0 tqdm-4.66.6
```

If you'd prefer to avoid this issue, you can install the packages using Conda: 💡

`conda install conda-forge::jupyter-ai conda-forge::langchain-openai`

Unfortunately, Conda doesn't include all the available provider packages. E.g. <https://anaconda.org/search?q=langchain-ollama>

In such cases, you can install older versions of these packages manually, like so:

```
pip install langchain-openai==0.1.23
pip install langchain-ollama==0.1.0
```

🤓🤓

---

References:

1. <https://github.com/jupyterlab/jupyter-ai/issues/1017>
2. <https://github.com/jupyterlab/jupyter-ai/issues/1082>

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- Parent: [Blog](https://mcavdar.com/index.md)
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