Skip to main content

A CLI utility and Python library for interacting with Large Language Models, including OpenAI, PaLM and local models installed on your own machine.

Project description

LLM

PyPI Documentation Changelog Tests License Discord Homebrew

A CLI utility and Python library for interacting with Large Language Models, including OpenAI, PaLM and local models installed on your own machine.

Full documentation: llm.datasette.io

Background on this project:

Installation

Install this tool using pip:

pip install llm

Or using Homebrew:

brew install llm

Detailed installation instructions.

Getting started

If you have an OpenAI API key you can get started using the OpenAI models right away.

As an alternative to OpenAI, you can install plugins to access models by other providers, including models that can be installed and run on your own device.

Save your OpenAI API key like this:

llm keys set openai

This will prompt you for your key like so:

llm keys set openai
Enter key: <paste here>

Now that you've saved a key you can run a prompt like this:

llm "Five cute names for a pet penguin"
1. Waddles
2. Pebbles
3. Bubbles
4. Flappy
5. Chilly

Read the usage instructions for more.

Using a system prompt

You can use the -s/--system option to set a system prompt, providing instructions for processing other input to the tool.

To describe how the code a file works, try this:

cat mycode.py | llm -s "Explain this code"

Help

For help, run:

llm --help

You can also use:

python -m llm --help

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-0.9a1.tar.gz (31.2 kB view details)

Uploaded Source

Built Distribution

llm-0.9a1-py3-none-any.whl (33.6 kB view details)

Uploaded Python 3

File details

Details for the file llm-0.9a1.tar.gz.

File metadata

  • Download URL: llm-0.9a1.tar.gz
  • Upload date:
  • Size: 31.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for llm-0.9a1.tar.gz
Algorithm Hash digest
SHA256 9dda4b7545adefebd27243487a779795692773d629f9bfc93608949d67b28930
MD5 dc6ee0bcbf5fed5ec709df085fcef7ea
BLAKE2b-256 0f0c925ded0bb88820785a49c837a648a299bccb30b512e4f95487ae893627ac

See more details on using hashes here.

File details

Details for the file llm-0.9a1-py3-none-any.whl.

File metadata

  • Download URL: llm-0.9a1-py3-none-any.whl
  • Upload date:
  • Size: 33.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for llm-0.9a1-py3-none-any.whl
Algorithm Hash digest
SHA256 2957e46f051ca2a48ed9b081b1fa093ea55e5d2d06c74cf26eb596357bc93146
MD5 e28d2678c47f62b6ceb0fb276c3ab1f3
BLAKE2b-256 25ecaa70e67237f7875c6642bb261a54de536f08ea65db6989fd3f4c0da01e2c

See more details on using hashes here.

Supported by

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