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tanstack-ai

Provide a provider-agnostic, type-safe AI SDK with streaming and tool calling.

29|2|Updated Jan 25, 2026
Search Tags:#typescript#ai#sdk#multimodal#streaming#adapters#tool-calling
One-click install
npx skills add https://github.com/tanstack-skills/tanstack-skills --skill tanstack-ai-tanstack-skills
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tanstack-ai
Source: https://github.com/tanstack-skills/tanstack-skills/tree/main/plugins/tanstack-ai/skills/tanstack-ai
Command: npx skills add https://github.com/tanstack-skills/tanstack-skills --skill tanstack-ai-tanstack-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TanStack AI solves the problem of building provider-agnostic, type-safe AI applications by offering a unified SDK that handles streaming generation, tool calling workflows, structured outputs, and multimodal content across multiple adapters.

Core Features & Use Cases

  • Streaming generation with adapters for major providers (OpenAI, Anthropic, Gemini, Ollama) and language bindings.
  • Tool calling with safe execution flows and optional approvals.
  • Structured output using Zod schemas for typed results across UI frameworks (React, Solid) and vanilla environments.
  • Multimodal content support (text and images) with framework-agnostic integration.
  • Use Case: Build a responsive assistant that streams replies, triggers tools, and returns typed data to your frontend or backend.

Quick Start

Install the TanStack AI package and start integrating adapters into your app by importing the core client and initializing a streaming workflow.

Frequently Asked Questions about tanstack-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a type-safe AI assistant with streaming and tool calling?▼

To build a type-safe AI assistant with streaming and tool calling, you can use a provider-agnostic SDK that supports streaming generation, structured outputs via Zod schemas, and safe tool execution workflows.

Can I use TypeScript to get structured output from multiple AI providers?▼

Yes, you can generate structured output from multiple AI providers in TypeScript by using an SDK with adapters for OpenAI, Anthropic, Gemini, and Ollama, returning typed results validated by Zod schemas.

How does multimodal content streaming work across different AI models?▼

Multimodal content streaming works by using framework-agnostic integration to process both text and images across different AI models, allowing your application to handle diverse content types through unified adapters.

What is the best way to execute tool calls safely in an AI chat interface?▼

The best way to execute tool calls safely in an AI chat interface is to use a type-safe SDK that provides structured execution flows with optional approvals, ensuring secure tool triggering during streaming generation.

Does this AI SDK work with React and Solid for building chat interfaces?▼

Yes, this AI SDK works with React and Solid for building chat interfaces, offering typed outputs and structured results that integrate smoothly into UI frameworks as well as vanilla environments.

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