llm-empiriolabs
LLM plugin for accessing EmpirioLabs AI models.
EmpirioLabs AI is specialized AI model hosting for open, proprietary, and custom stacks. Every model it serves is listed, with its ID and price, in the live catalog at empiriolabs.ai/models.
Installation
Install this plugin in the same environment as LLM.
llm install llm-empiriolabs
Configuration
Set an API key for EmpirioLabs:
llm keys set empiriolabs
# Paste your EMPIRIOLABS_API_KEY when prompted
You can also set the EMPIRIOLABS_API_KEY environment variable instead.
Usage
List the available EmpirioLabs AI models:
llm models list | grep -i empiriolabs
Run a prompt:
llm models list | grep empiriolabs
llm -m empiriolabs/MODEL_ID "Five surprising facts about octopuses"
Start an interactive chat:
llm chat -m empiriolabs/MODEL_ID
Pipe content in:
cat article.txt | llm -m empiriolabs/MODEL_ID "Summarize this in three bullet points"
Replace MODEL_ID with any chat model ID from empiriolabs.ai/models. The plugin reads the live model list from https://api.empiriolabs.ai/v1/models (cached for an hour, and the cached copy is used when the call fails), so llm models list always shows the current chat models.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-empiriolabs
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
License
Apache-2.0
Metadata
Release files for llm-empiriolabs 0.1.4
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 |
|---|---|---|---|---|
| llm_empiriolabs-0.1.4.tar.gz | 8.9 kB | With provenance | Details for llm_empiriolabs-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llm_empiriolabs-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for llm_empiriolabs-0.1.4-py3-none-any.whl |
Total release size: 17.3 kB
Release files / llm_empiriolabs-0.1.4.tar.gz
| Download URL | llm_empiriolabs-0.1.4.tar.gz |
|---|---|
| Size | 8.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
778308e1e4f55cc5c61c00d3d9d643bde6b61f6fb7456089d39dcc7262112c93
|
|
BLAKE2b-256 checksum How to use checksums |
7a9ca7f0e62ff766ee4a0c83779450fe627f0920f9d054bd4f5de9bfb8da5258
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Oct 29, 2026.
Transparency logRelease files / llm_empiriolabs-0.1.4-py3-none-any.whl
| Download URL | llm_empiriolabs-0.1.4-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3c1641a93b9d0d5c42425dbdacbbdde0f6d6100e472a720378ea1092e81173b0
|
|
BLAKE2b-256 checksum How to use checksums |
5d64047d0fb8dfdd61ba31c576ebdcf7308f65bb012b997174e1aeb92e218cda
|
| 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 29, 2026.
Transparency logSecurity for llm-empiriolabs 0.1.4
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 llm_empiriolabs-0.1.4.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 29, 2026.
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