llm-hyperbee
Access hyperbee.ai models via API
Installation
Install this plugin in the same environment as LLM.
llm install llm-hyperbee
Usage
Obtain a Hyperbee API key and save it like this:
llm keys set hyperbee
# <Paste key here>
Run llm models to get a list of models.
Run prompts like this:
llm -m hyperbee 'five great names for a pet ocelot'
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-hyperbee
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
llm install -e '.[test]'
To run the tests:
pytest
1 maintainer
Metadata
1 maintainer
Release files for llm-hyperbee 0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llm_hyperbee-0.5.tar.gz | 6.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_hyperbee-0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 kB
Release files / llm_hyperbee-0.5.tar.gz
| Download URL | llm_hyperbee-0.5.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.9.19
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Release files / llm_hyperbee-0.5-py3-none-any.whl
| Download URL | llm_hyperbee-0.5-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
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Security for llm-hyperbee 0.5
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None of the files in this release were uploaded with provenance metadata.
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