This release is a pre-release and may not be stable for production use.
llm-openai-via-codex
Access OpenAI models via an existing Codex subscription
Apparently this is OK!
Installation
Install this plugin in the same environment as LLM.
llm install llm-openai-via-codex
Usage
First, make sure you have installed and authenticated OpenAI Codex CLI.
To see the models available via your Codex subscription run:
llm models -q openai-codex
To run a prompt against one of those models:
llm -m openai-codex/gpt-5.5 'Generate an SVG of a pelican riding a bicycle'
Development
To set up this plugin locally, first checkout the code. Run the tests using uv:
cd llm-openai-via-codex
uv run pytest
To run LLM with the dev plugin installed:
uv run llm -m models
uv run llm -m openai-codex/gpt-5.5 'Talk to me in Swedish'
Release files for llm-openai-via-codex 0.1a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_openai_via_codex-0.1a0.tar.gz | 10.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_openai_via_codex-0.1a0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.2 kB
Release files / llm_openai_via_codex-0.1a0.tar.gz
| Download URL | llm_openai_via_codex-0.1a0.tar.gz |
|---|---|
| Size | 10.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / llm_openai_via_codex-0.1a0-py3-none-any.whl
| Download URL | llm_openai_via_codex-0.1a0-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 23, 2026.
Transparency log