groq-core-workflow-a

name	groq-core-workflow-a
description	Execute Groq's primary workflow: chat completions with tool use and JSON mode. Use when implementing chat interfaces, function calling, structured output, or building AI features with Groq's fast inference. Trigger with phrases like "groq chat completion", "groq tool use", "groq function calling", "groq JSON mode".
allowed-tools	Read, Write, Edit, Bash(npm:*)
version	1.11.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","groq","workflow"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Groq Core Workflow A: Chat, Tools & Structured Output

Overview

Primary integration patterns for Groq: chat completions, tool/function calling, JSON mode, and structured outputs. Groq's LPU delivers sub-200ms time-to-first-token, making these patterns viable for real-time user-facing features. This skill walks through five workflow steps; the lean skeleton lives here, and the full copy-paste code lives in references/.

Prerequisites

• Install the SDK with npm install groq-sdk.
• Set GROQ_API_KEY in the environment (see Authentication below).
• Familiarity with the Groq model line-up and which model fits each task.

Authentication

Groq authenticates via an API key. Create one at console.groq.com/keys and export it as GROQ_API_KEY; the SDK reads it automatically, so new Groq() needs no explicit argument. Never hardcode the key — read it from the environment (or a secrets manager) so it stays out of source control.

Model Selection for This Workflow

Task	Recommended Model	Why
Chat with tools	llama-3.3-70b-versatile	Best tool-calling accuracy
JSON extraction	llama-3.1-8b-instant	Fast, accurate for structured tasks
Structured outputs	llama-3.3-70b-versatile	Supports strict: true schema compliance
Vision + chat	meta-llama/llama-4-scout-17b-16e-instruct	Multimodal input

Instructions

Work through the five patterns in order. Read the target file, then Write or Edit the integration code into your project.

1. Chat completion — send system + user messages to groq.chat.completions.create and return choices[0].message.content plus usage. Skeleton below; full example in worked examples.
2. Tool use / function calling — a three-phase loop: send the message with tools + tool_choice: "auto", execute any returned , then send the results back for the final answer. Full code in .