Skip to main content

Access hyperbee.ai models via API

Project description

llm-hyperbee

PyPI Changelog Tests1 License

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_hyperbee-0.4.tar.gz (6.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llm_hyperbee-0.4-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file llm_hyperbee-0.4.tar.gz.

File metadata

  • Download URL: llm_hyperbee-0.4.tar.gz
  • Upload date:
  • Size: 6.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for llm_hyperbee-0.4.tar.gz
Algorithm Hash digest
SHA256 318cf74705c470690a96476ff7fb8fdc79d1b4edb588f7d99f1b47cfb6cf7b2b
MD5 d9d973a072415e2d994333d4762f18a5
BLAKE2b-256 f746ba1d968ebe892a652018f59eeb7f3e04951e62419d39e6a94e0cae8934d7

See more details on using hashes here.

File details

Details for the file llm_hyperbee-0.4-py3-none-any.whl.

File metadata

  • Download URL: llm_hyperbee-0.4-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for llm_hyperbee-0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 4877f9ea7fadceab9c94b866a04f82cac6f7a5d3c18284108652252794fca343
MD5 c3e80bc7ba0a6faf0800cc3f30728559
BLAKE2b-256 e91357ad1da4c165625e9d652cb79dfa903134b2b7028fea0c091b702791782d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page