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@tanstack/ai-groq

Groq adapter for TanStack AI

Installation

Setup

Get your API key from Groq Console and set it as an environment variable:

Usage

Text/Chat Adapter

With Explicit API Key

Supported Models

Chat Models

• llama-3.3-70b-versatile - Meta Llama 3.3 70B (131k context) • llama-3.1-8b-instant - Meta Llama 3.1 8B (131k context) • meta-llama/llama-4-maverick-17b-128e-instruct - Meta Llama 4 Maverick (vision) • meta-llama/llama-4-scout-17b-16e-instruct - Meta Llama 4 Scout • meta-llama/llama-guard-4-12b - Meta Llama Guard 4 (content moderation, vision) • meta-llama/llama-prompt-guard-2-86m - Meta Llama Prompt Guard (content moderation) • meta-llama/llama-prompt-guard-2-22m - Meta Llama Prompt Guard (content moderation) • openai/gpt-oss-120b - GPT OSS 120B (reasoning, tools, search) • openai/gpt-oss-20b - GPT OSS 20B (reasoning, search) • openai/gpt-oss-safeguard-20b - GPT OSS Safeguard 20B (content moderation, reasoning) • moonshotai/kimi-k2-instruct-0905 - Kimi K2 Instruct (262k context) • qwen/qwen3-32b - Qwen3 32B (reasoning, tools)

Features

• ✅ Streaming chat completions • ✅ Structured output (JSON Schema) • ✅ Function/tool calling • ✅ Multimodal input (text + images for vision models) • ✅ Summarization (groqSummarize) • ❌ Embeddings (not supported by Groq) • ❌ Image generation (not supported by Groq)

Tree-Shakeable Adapters

This package uses tree-shakeable adapters, so you only import what you need:

This keeps your bundle size small!

License

MIT