tanstack-ai

A framework for building AI chat applications with React and TanStack packages, including streamed replies, tools, approvals, and structured results.

In plain words
What is it for?
Use it to build chat screens, stream responses from providers such as OpenAI or Anthropic, add client or server tools, request tool approval, or handle images and other media.
Why use it?
It provides a consistent way to connect a chat interface to AI services while keeping messages and tool interactions type-safe.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/fellipeutaka/leon/tanstack-ai
Any agent
npx skills add fellipeutaka/leon --skill tanstack-ai
Clone the repo
git clone --depth 1 https://github.com/fellipeutaka/leon

Made for: Claude Code, Codex.

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,945 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00122 $0.01945
Opus 5 $0.00061 $0.00972
Sonnet 5 $0.00024 $0.00389
Haiku 4.5 $0.00012 $0.00194

Measured 2d ago against content hash 102b48a1c1e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tanstack-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/tanstack-ai/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TanStack AI (React)

AI chat framework with isomorphic tools, streaming, and full type safety.

Packages

  • @tanstack/ai — core: chat(), toolDefinition(), toServerSentEventsResponse(), maxIterations()
  • @tanstack/ai-react — React: useChat() hook, re-exports connection adapters
  • @tanstack/ai-client — headless: ChatClient, clientTools(), createChatClientOptions(), InferChatMessages
  • @tanstack/ai-{openai,anthropic,gemini,ollama,grok,openrouter,fal} — adapter packages

Quick Start

Install

npm install @tanstack/ai @tanstack/ai-react @tanstack/ai-openai

Server (Next.js API Route)

import { chat, toServerSentEventsResponse } from "@tanstack/ai";
import { openaiText } from "@tanstack/ai-openai";

export async function POST(request: Request) {
  const { messages } = await request.json();
  const stream = chat({
    adapter: openaiText("gpt-5.2"),
    messages,
  });
  return toServerSentEventsResponse(stream);
}

Client (React)

import { useState } from "react";
import { useChat, fetchServerSentEvents } from "@tanstack/ai-react";

export function Chat() {
  const [input, setInput] = useState("");
  const { messages, sendMessage, isLoading } = useChat({
    connection: fetchServerSentEvents("/api/chat"),
  });

  return (
    <div>
      {messages.map((message) => (
        <div key={message.id}>
          <strong>{message.role}:</strong>
          {message.parts.map((part, idx) => {
            if (part.type === "text") return <span key={idx}>{part.content}</span>;
            if (part.type === "thinking") return <em key={idx}>{part.content}</em>;
            return null;
          })}
        </div>
      ))}
      <form onSubmit={(e) => { e.preventDefault(); sendMessage(input); setInput(""); }}>
        <input value={input} onChange={(e) => setInput(e.target.value)} disabled={isLoading} />
        <button type="submit" disabled={isLoading}>Send</button>
      </form>
    </div>
  );
}

Read the full file on GitHub · 218 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 218 lines · 122 tokens per session scan A 102b48a1c1e5

Subscribe to this mod's changes

tanstack-ai is a skill published in the GitHub repository fellipeutaka/leon (5 stars, last pushed 4d ago), licensed MIT. It adds 122 tokens to every session and 1,945 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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