Skip to main content

Access Nous Research models via API

Project description

llm-nous

PyPI Changelog Tests License

Access nouseresearch.com Hermes models via simonw's llm cli

Installation

Install this plugin in the same environment as LLM.

llm install llm-nous

Usage

Obtain a Nous API key and save it like this:

llm keys set nous
# <Paste key here>

Run llm models to get a list of models.

Run prompts like this:

llm -m Hermes-4-405B 'five great names for a pet ocelot'
llm -m Hermes-4-70B 'how to reverse a linked list in python'

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd llm-nous
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_nous-0.1.0.tar.gz (6.6 kB view details)

Uploaded Source

Built Distribution

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

llm_nous-0.1.0-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file llm_nous-0.1.0.tar.gz.

File metadata

  • Download URL: llm_nous-0.1.0.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for llm_nous-0.1.0.tar.gz
Algorithm Hash digest
SHA256 0abdd20d471d685aa0beb12e1e8411fe9bc209de623727f9998fc72624352dd5
MD5 96f4f7dc1ac2c5035cb454df383545fe
BLAKE2b-256 5afa3f3f91dd41de05cfacda3aae396075ef23ffa2b4f0e157f19c08460fcf60

See more details on using hashes here.

File details

Details for the file llm_nous-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: llm_nous-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for llm_nous-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b65c0873e5a6a70d57fdd9d74aca0c53dadffb8b7342739e52245737e9a4d3cc
MD5 13a1cc7c874da0a8c243cb2457e2a93a
BLAKE2b-256 6f4c84b5e6b835a1eedcc193786383fc9e76cabc8c3a6b9d4ecc551a938230ff

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