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\n LLM Workflow Tip: Using LLMs from the Command Line\n

\n \n

Added at: July 10, 2025

\n\n

\n Install llm CLI
\n\n
\n llm is a powerful command-line tool for interacting with OpenAI, Anthropic, Gemini, Llama, and many other LLMs.
\n The recommended way to install llm is with Homebrew:\n
\n\n
```
brew install llm
```
\n\n
If you use Python and prefer pip or pipx, you can also install it with:
\n\n
```
pip install llm
```
\n\n
If you're new to the command line, try Ghostty for a modern terminal experience.\n On Windows, try Windows Terminal\n with WSL (Windows Subsystem for Linux).\n
\n
\n Set your API key
\n
```
llm keys set openai
```
\n
Paste your OpenAI API key when prompted. (You can also use Anthropic, Gemini, or local models via plugins.)
\n

\n Run your first prompt
\n

llm \"Suggest a one-liner zsh command to list all .md files in the current directory\"

llm will reply with a concise, copy-pasteable command.

\n Recommended system prompt for terminal-focused answers
\n

Use the -s flag to set a system prompt. For terminal-focused, concise, and copy-pasteable answers, try:

llm -s \"You are a terminal expert. Always answer with concise, copy-pasteable zsh commands. If a command is simple, explain it in one sentence. Add a beginner tip if relevant.\" \"How do I find all Python files containing 'TODO'?\"

\n Beginner's tip
\n
When using llm, you can pipe files or command output directly into your prompt. For example:
\n
```
cat script.sh | llm -s \"Explain what this script does, step by step.\"
```
\n
This makes it easy to get explanations or improvements for your own code, right from the terminal.
\n

\n\n

\n \n Read the full llm documentation →\n \n

\n\n ","deleted","label",[168,150],"tips","permalink","https://www.val.town/x/cricks_unmixed4u/llm-tips/code/tips/llm-cli.html","extension","html","actionData","errors"]