groq-core-workflow-a

# 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. ## Prerequisites - `groq-sdk` installed, `GROQ_API_KEY` set - Understanding of Groq model capabilities ## 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 ### Step 1: Chat Completion with System Prompt ```typescript import Groq from "groq-sdk"; const groq = new Groq(); async function chat(userMessage: string, history: any[] = []) { const messages = [ { role: "system" as const, content: "You are a concise technical assistant." }, ...history, { role: "user" as const, content: userMessage }, ]; const completion = await groq.chat.completions.create({ model: "llama-3.3-70b-versatile", messages, temperature: 0.7, max_tokens: 1024, }); return { reply: completion.choices[0].message.content, usage: completion.usage, }; } ``` ### Step...