Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

llm-jina-api

PyPI Changelog Tests License

Access Jina AI embeddings via their API

Installation

Install this plugin in the same environment as LLM.

llm install llm-jina-api

Usage

The plugin adds an embedding model called jina-clip-v1-api. You'll need to set an API key first:

llm keys set jina
# paste API key here

Follow the LLM documentation using jina-clip-v1-api as the model name. For example:

llm embed -m jina-clip-v1-api -c 'pelican'

# To embed an image file:
llm embed --binary -m jina-clip-v1-api -i pelican.jpg

Development

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

cd llm-jina-api
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

llm install -e '.[test]'

To run the tests:

python -m pytest

Release files for llm-jina-api 0.1a0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llm-jina-api 0.1a0
File Size Uploaded
llm_jina_api-0.1a0.tar.gz 6.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for llm-jina-api 0.1a0
File Interpreter ABI Platform
llm_jina_api-0.1a0-py3-none-any.whl Python 3 none any Details

Total release size: 13.9 kB

Release files / llm_jina_api-0.1a0.tar.gz

Download URL llm_jina_api-0.1a0.tar.gz
Size 6.8 kB
Tags Source
SHA-256 checksum
How to use checksums
82e6f96733efb72a478a5d53b080918a9b5322ee7e67f226fe83c58e55a494da
BLAKE2b-256 checksum
How to use checksums
c30b43501628349bb8661aed1d8f6d59329f1673bc7daab17cc2dd4b253a659b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.6

Release files / llm_jina_api-0.1a0-py3-none-any.whl

Download URL llm_jina_api-0.1a0-py3-none-any.whl
Size 7.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7d0fd962f9b4197f49d3e6aa9bd1f4dbad49d4ed7d8d33ecffbd0fe500aba709
BLAKE2b-256 checksum
How to use checksums
a3a0c9f0b7f2f46a1ce42d6627423881e12e4a68702649102f889c9698e21493
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.6

Release history Release notifications | RSS feed

This release

0.1a0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page