Skip to main content

LLM plugin for accessing MiniMax models via their API

Project description

llm-minimax

PyPI Changelog Tests License

LLM plugin for accessing MiniMax models via their API

Installation

Install this plugin in the same environment as LLM.

llm install llm-minimax

Usage

Obtain an API key for MiniMax from their API platform site.

Set the API key using:

llm keys set minimax
# Paste key here

Run MiniMax M2 like this:

llm -m m2 "Tell me about yourself"

Development

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

cd llm-minimax
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

python -m pip install -e '.[test]'

To run the tests:

python -m pytest

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

llm_minimax-0.1.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

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

llm_minimax-0.1-py3-none-any.whl (6.6 kB view details)

Uploaded Python 3

File details

Details for the file llm_minimax-0.1.tar.gz.

File metadata

  • Download URL: llm_minimax-0.1.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for llm_minimax-0.1.tar.gz
Algorithm Hash digest
SHA256 5716fa991803128e16de163a553e39eb310ccb06adc550770845cd08ebae35eb
MD5 fba4c0e58953b8b3e9abbdff4ed69a58
BLAKE2b-256 1926472a150c1d0cf5a83728d5368fa6c5fbe5f1a548713b4be1ea77567ee0ef

See more details on using hashes here.

Provenance

The following attestation bundles were made for llm_minimax-0.1.tar.gz:

Publisher: publish.yml on simonw/llm-minimax

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file llm_minimax-0.1-py3-none-any.whl.

File metadata

  • Download URL: llm_minimax-0.1-py3-none-any.whl
  • Upload date:
  • Size: 6.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for llm_minimax-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 44131aac9ae385faeb59829ed2b67bd70bf56284721561176de2de71fd2dd793
MD5 60b825b4f72a1647d9085de9e5f50718
BLAKE2b-256 7d8cc55f0f94e3db69bdb8d995722e1c3cdd19c2d7d961fe3136cd0e97625868

See more details on using hashes here.

Provenance

The following attestation bundles were made for llm_minimax-0.1-py3-none-any.whl:

Publisher: publish.yml on simonw/llm-minimax

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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