groq
LPU-powered terminal coding assistant
TLDR
Start interactive chat session
SYNOPSIS
groq [-t temperature] [-s message] [-d] [-p proxy]
DESCRIPTION
groq (Groq Code CLI) is a command-line coding assistant powered by Groq's LPU (Language Processing Unit) inference engine, known for extremely fast response times. It provides an interactive terminal-based interface for AI-assisted code generation and development tasks.
The CLI stores configuration in a .groq/ folder in your home directory, including API keys and model preferences. Users can select different language models available on the Groq platform using the /model command.
Proxy configuration follows a priority order: CLI flag (--proxy) takes precedence over HTTPS_PROXY, which takes precedence over HTTP_PROXY environment variables.
PARAMETERS
-t, --temperature temp
Set generation temperature controlling response randomness. Default: 1.-s, --system message
Provide a custom system message for the conversation.-d, --debug
Enable debug logging output to debug-agent.log.-p, --proxy url
Configure proxy for API requests. Supports HTTP, HTTPS, and SOCKS5 protocols.-h, --help
Display help information.-V, --version
Show version number.
CONFIGURATION
~/.groq/
Configuration directory storing API keys, model preferences, and session data.
SLASH COMMANDS
/help
Display help and available commands./login
Authenticate with API credentials./model
View and select available Groq models./clear
Clear chat history and context./reasoning
Toggle reasoning content display./stats
Show session statistics and token usage.
CAVEATS
Requires a GROQ_API_KEY environment variable or authentication via the /login command. API usage is subject to Groq's rate limits and terms of service. The CLI requires Node.js for installation.
HISTORY
Groq Code CLI was released as an open-source project by Groq to showcase their LPU inference capabilities for developers. Groq, founded in 2016, developed custom tensor streaming processor chips optimized for AI inference, achieving significantly faster response times than traditional GPU-based solutions. The CLI leverages this speed advantage for interactive coding workflows.