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LLM

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A CLI tool and Python library for interacting with OpenAI, Anthropic’s Claude, Google’s Gemini, Meta’s Llama and dozens of other Large Language Models, both via remote APIs and with models that can be installed and run on your own machine.

Watch Language models on the command-line on YouTube for a demo or read the accompanying detailed notes.

With LLM you can:

Quick start

First, install LLM using pip or Homebrew or pipx or uv:

pip install llm

Or with Homebrew (see warning note):

brew install llm

Or with pipx:

pipx install llm

Or with uv

uv tool install llm

If you have an OpenAI API key key you can run this:

# Paste your OpenAI API key into this
llm keys set openai

# Run a prompt (with the default gpt-4o-mini model)
llm "Ten fun names for a pet pelican"

# Extract text from an image
llm "extract text" -a scanned-document.jpg

# Use a system prompt against a file
cat myfile.py | llm -s "Explain this code"

Run prompts against Gemini or Anthropic with their respective plugins:

llm install llm-gemini
llm keys set gemini
# Paste Gemini API key here
llm -m gemini-2.0-flash 'Tell me fun facts about Mountain View'

llm install llm-anthropic
llm keys set anthropic
# Paste Anthropic API key here
llm -m claude-4-opus 'Impress me with wild facts about turnips'

You can also install a plugin to access models that can run on your local device. If you use Ollama:

# Install the plugin
llm install llm-ollama

# Download and run a prompt against the Orca Mini 7B model
ollama pull llama3.2:latest
llm -m llama3.2:latest 'What is the capital of France?'

To start an interactive chat with a model, use llm chat:

llm chat -m gpt-4.1
Chatting with gpt-4.1
Type 'exit' or 'quit' to exit
Type '!multi' to enter multiple lines, then '!end' to finish
Type '!edit' to open your default editor and modify the prompt.
Type '!fragment <my_fragment> [<another_fragment> ...]' to insert one or more fragments
> Tell me a joke about a pelican
Why don't pelicans like to tip waiters?

Because they always have a big bill!

More background on this project:

See also the llm tag on my blog.

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