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

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-0.8.tar.gz (24.0 kB view details)

Uploaded Source

Built Distribution

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

llm-0.8-py3-none-any.whl (25.7 kB view details)

Uploaded Python 3

File details

Details for the file llm-0.8.tar.gz.

File metadata

  • Download URL: llm-0.8.tar.gz
  • Upload date:
  • Size: 24.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for llm-0.8.tar.gz
Algorithm Hash digest
SHA256 551020e3b5b34f4fd9f753708b93f5c46c05d43b92783ab8f38c7579a299feaf
MD5 a2274ea5793737c03fe0004f309e62eb
BLAKE2b-256 13daa32c8fcd60e9e6d67a54c5ee5f0dc2f1bf78919f0ea925ef87c38f2be027

See more details on using hashes here.

File details

Details for the file llm-0.8-py3-none-any.whl.

File metadata

  • Download URL: llm-0.8-py3-none-any.whl
  • Upload date:
  • Size: 25.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for llm-0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 9867376b2d5581e82647ec5e7815f13d9fc236cdc358d3057ba814837dfaf7e6
MD5 89c5adfa71f9c92031a5a20c0491caab
BLAKE2b-256 873516495bb00af2c1f2849b38d3366b8e2258bbd7c896fdf29f9c476d30f919

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