llm-deepseek

Access deepseek.com models via API

Installation

Install this plugin in the same environment as LLM.

llm install llm-deepseek

Usage

Obtain a DeepSeek API key and save it like this:

llm keys set deepseek
# <Paste key here>

Run llm models to get a list of models.

Run prompts like this:

llm -m deepseek-chat 'five great names for a pet ocelot'
llm -m deepseek-reasoner 'solve \\int \\frac{\\ln(x)\\arctan(x)}{x^2+1} dx'
llm -m deepseek-coder '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-deepseek
python3 -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

llm install -e '.[test]'

To run the tests:

pytest

Metadata

Release files for llm-deepseek 0.1.6

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-deepseek 0.1.6
File	Size	Uploaded
llm_deepseek-0.1.6.tar.gz	6.6 kB	Feb 14, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for llm-deepseek 0.1.6
File	Interpreter	ABI	Platform	Reset
llm_deepseek-0.1.6-py3-none-any.whl 6.9 kB Feb 14, 2025	Python 3	none	any	Details

Total release size: 13.5 kB

Release files / llm_deepseek-0.1.6.tar.gz

Download URL	llm_deepseek-0.1.6.tar.gz
Size	6.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`87a7b4e8c61098a5e4a393feabb0a7427e71eb4fa28a7a3ed5960d7e37df8b83`
BLAKE2b-256 checksum How to use checksums	`ba5322d7e15f221d8eda25dc20bc02871ac9cbcf01332ed78944d8da44fe9bc8`
Upload date	Feb 14, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.8`

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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/abrasumente233/llm-deepseek
Publishing commit: github.com/abrasumente233/llm-deepseek/tree/2c24c52d35896bc4a194c7bfe95bb0534530d58c

Workflow

Publishing configuration: github.com/abrasumente233/llm-deepseek/blob/2c24c52d35896bc4a194c7bfe95bb0534530d58c/.github/workflows/publish.yml
Publishing logs: github.com/abrasumente233/llm-deepseek/actions/runs/13333386052/attempts/1

Artifact

Subject: llm_deepseek-0.1.6.tar.gz
SHA-256 checksum: 87a7b4e8c61098a5e4a393feabb0a7427e71eb4fa28a7a3ed5960d7e37df8b83 Verifying attestations

Release files / llm_deepseek-0.1.6-py3-none-any.whl

Download URL	llm_deepseek-0.1.6-py3-none-any.whl
Size	6.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2a5f40db136cc134f5c9eb42e85a63b8e200b95619e243ebf65e5a1b0f68f0f5`
BLAKE2b-256 checksum How to use checksums	`b125c4313d0455aa36f04284771a0ba3b12c2c0e56ea6431f0c7472810265ad7`
Upload date	Feb 14, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.8`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/abrasumente233/llm-deepseek
Publishing commit: github.com/abrasumente233/llm-deepseek/tree/2c24c52d35896bc4a194c7bfe95bb0534530d58c

Workflow

Publishing configuration: github.com/abrasumente233/llm-deepseek/blob/2c24c52d35896bc4a194c7bfe95bb0534530d58c/.github/workflows/publish.yml
Publishing logs: github.com/abrasumente233/llm-deepseek/actions/runs/13333386052/attempts/1

Artifact

Subject: llm_deepseek-0.1.6-py3-none-any.whl
SHA-256 checksum: 2a5f40db136cc134f5c9eb42e85a63b8e200b95619e243ebf65e5a1b0f68f0f5 Verifying attestations