ipyllm
An IPython extension for discussing your interactive Python session with models
supported by the llm Python package.
Install and load
Install the package in the Python environment used by IPython:
python -m pip install .
Then load it in IPython or a Jupyter IPython kernel:
%load_ext ipyllm
The extension uses the model and API-key configuration already managed by
llm. For example, choose a default model with llm models default MODEL and
configure provider keys using llm keys set PROVIDER.
Documentation
The MkDocs documentation covers installation, model
configuration, prompts, command-output diagnosis, debugging with
ipyllm.embed, available tools, Agent Skills, approval settings, and
safety. Preview or build the site with:
uv run mkdocs serve
uv run mkdocs build
1 maintainer
Metadata
1 maintainer
Release files for ipyllm 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ipyllm-0.1.0.tar.gz | 13.6 kB | With provenance | Details for ipyllm-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ipyllm-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for ipyllm-0.1.0-py3-none-any.whl |
Total release size: 29.4 kB
Release files / ipyllm-0.1.0.tar.gz
| Download URL | ipyllm-0.1.0.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
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Transparency logRelease files / ipyllm-0.1.0-py3-none-any.whl
| Download URL | ipyllm-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
b2a6e1cb3a0c952818246351dcab8b809ceb960120cbda2a1b14868279592dbe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 28, 2026.
Transparency logSecurity for ipyllm 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for ipyllm-0.1.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 28, 2026.
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