Groq

The Groq adapter provides access to Groq's fast inference API, featuring the world's fastest LLM inference.

npm install @tanstack/ai-groq

import { chat } from "@tanstack/ai";
import { groqText } from "@tanstack/ai-groq";

const stream = chat({
  adapter: groqText("llama-3.3-70b-versatile"),
  messages: [{ role: "user", content: "Hello!" }],
});

import { chat } from "@tanstack/ai";
import { createGroqText } from "@tanstack/ai-groq";

const adapter = createGroqText("llama-3.3-70b-versatile", process.env.GROQ_API_KEY!, {
  // ... your config options
});

const stream = chat({
  adapter: adapter,
  messages: [{ role: "user", content: "Hello!" }],
});

import { createGroqText, type GroqTextConfig } from "@tanstack/ai-groq";

const config: Omit<GroqTextConfig, 'apiKey'> = {
  baseURL: "https://api.groq.com/openai/v1", // Optional, for custom endpoints
};

const adapter = createGroqText("llama-3.3-70b-versatile", process.env.GROQ_API_KEY!, config);

import { chat, toServerSentEventsResponse } from "@tanstack/ai";
import { groqText } from "@tanstack/ai-groq";

export async function POST(request: Request) {
  const { messages } = await request.json();

  const stream = chat({
    adapter: groqText("llama-3.3-70b-versatile"),
    messages,
  });

  return toServerSentEventsResponse(stream);
}

import { chat, toolDefinition } from "@tanstack/ai";
import { groqText } from "@tanstack/ai-groq";
import { z } from "zod";

const searchDatabaseDef = toolDefinition({
  name: "search_database",
  description: "Search the database",
  inputSchema: z.object({
    query: z.string(),
  }),
});

const searchDatabase = searchDatabaseDef.server(async ({ query }) => {
  // Search database
  return { results: [] };
});

const messages = [{ role: "user", content: "Search for something" }];

const stream = chat({
  adapter: groqText("llama-3.3-70b-versatile"),
  messages,
  tools: [searchDatabase],
});

Groq supports various provider-specific options:

const stream = chat({
  adapter: groqText("llama-3.3-70b-versatile"),
  messages: [{ role: "user", content: "Hello!" }],
  modelOptions: {
    temperature: 0.7,
    max_completion_tokens: 1024,
    top_p: 0.9,
  },
});

Enable reasoning for models that support it (e.g., openai/gpt-oss-120b, qwen/qwen3-32b). This allows the model to show its reasoning process, which is streamed as thinking chunks:

modelOptions: {
  reasoning_effort: "medium", // "none" | "default" | "low" | "medium" | "high"
}

Groq offers a diverse selection of models from multiple providers:

• llama-3.3-70b-versatile - Fast, capable model with 128K context
• llama-3.1-8b-instant - Fast, cost-effective model
• meta-llama/llama-4-maverick-17b-128e-instruct - Latest Llama 4 with vision support
• meta-llama/llama-4-scout-17b-16e-instruct - Efficient Llama 4 model

• meta-llama/llama-guard-4-12b - Content moderation
• meta-llama/llama-prompt-guard-2-86m - Prompt injection detection
• meta-llama/llama-prompt-guard-2-22m - Lightweight prompt guard

• openai/gpt-oss-120b - Large OSS model with reasoning support
• openai/gpt-oss-20b - Efficient OSS model
• openai/gpt-oss-safeguard-20b - Safety-tuned OSS model

• moonshotai/kimi-k2-instruct-0905 - Kimi K2 with 256K context
• qwen/qwen3-32b - Qwen 3 with reasoning support

Groq provides unique Text-to-Speech capabilities via Canopy Labs Orpheus models:

import { generateSpeech } from "@tanstack/ai";
import { groqSpeech } from "@tanstack/ai-groq";

const result = await generateSpeech({
  adapter: groqSpeech("canopylabs/orpheus-v1-english"),
  text: "Hello, welcome to TanStack AI!",
  voice: "autumn",
  format: "wav",
});

// result.audio contains base64-encoded audio
console.log(result.format); // "wav"

Available voices: autumn, diana, hannah, austin, daniel, troy

Available voices for Arabic model (canopylabs/orpheus-arabic-saudi): fahad, sultan, lulwa, noura

const result = await generateSpeech({
  adapter: groqSpeech("canopylabs/orpheus-v1-english"),
  text: "High quality speech",
  voice: "diana",
  format: "wav",
  modelOptions: {
    sample_rate: 24000, // Audio sample rate in Hz
  },
});

• wav (only format currently supported for Orpheus models)
• mp3
• flac
• ogg
• mulaw

Note: Additional formats (mp3, flac, ogg, mulaw) are defined for future compatibility but are not yet supported by Orpheus TTS models.

Set your API key in environment variables:

GROQ_API_KEY=gsk_...

Creates a Groq chat adapter using environment variables.

Parameters:

• model - The model name (e.g., llama-3.3-70b-versatile)
• config (optional) - Optional configuration object. Supports the same options as createGroqText except apiKey, which is auto-detected from GROQ_API_KEY environment variable. Common options:
  • baseURL - Custom base URL for API requests (optional)

Returns: A Groq chat adapter instance.

Creates a Groq chat adapter with an explicit API key.

Parameters:

• model - The model name (e.g., llama-3.3-70b-versatile)
• apiKey - Your Groq API key
• config (optional) - Optional configuration object:
  • baseURL - Custom base URL for API requests (optional)

Returns: A Groq chat adapter instance.

Creates a Groq TTS adapter using environment variables.

Parameters:

• model - The TTS model name (e.g., canopylabs/orpheus-v1-english)

Returns: A Groq speech adapter instance.

Creates a Groq TTS adapter with an explicit API key.

Parameters:

• model - The TTS model name (e.g., canopylabs/orpheus-v1-english)
• apiKey - Your Groq API key
• config.baseURL? - Custom base URL (optional)

Returns: A Groq speech adapter instance.

• Image Generation: Groq does not support image generation. Use OpenAI or Gemini for image generation.

• Getting Started - Learn the basics
• Tools Guide - Learn about tools
• Other Adapters - Explore other providers