ai-core/chat-experience

A development guide for building a complete chat feature, including the server endpoint, streamed replies, client-side message handling, and displays for multimodal content and reasoning.

In plain words
What is it for?
It helps add streaming chat to a TanStack application using chat APIs, server-sent events, a React chat hook, message-part rendering, and connection adapters.
Why use it?
It brings the connected server, browser interface, message formats, loading states, and connection handling into one implementation path.

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/tanstack/ai/chat-experience
Any agent
npx skills add TanStack/ai --skill chat-experience
Clone the repo
git clone --depth 1 https://github.com/TanStack/ai

Made for: Claude Code, Codex.

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,192 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 $0.00078 $0.06192
Opus 5 $0.00039 $0.03096
Sonnet 5 $0.00016 $0.01238
Haiku 4.5 $0.00008 $0.00619

Measured 2d ago against content hash 48625b5612ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-core/chat-experience 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.

packages/ai/skills/ai-core/chat-experience/SKILL.md · 768 lines

How it starts

The opening of the file, as written. The whole thing — 768 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chat Experience

This skill builds on ai-core. Read it first for critical rules.

Setup — Minimal Chat App

Server: API Route (TanStack Start)

// src/routes/api.chat.ts
import { createFileRoute } from '@tanstack/react-router'
import { chat, toServerSentEventsResponse } from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'

export const Route = createFileRoute('/api/chat')({
  server: {
    handlers: {
      POST: async ({ request }) => {
        const abortController = new AbortController()
        const body = await request.json()
        const { messages } = body

        const stream = chat({
          adapter: openaiText('gpt-5.5'),
          messages,
          systemPrompts: ['You are a helpful assistant.'],
          abortController,
        })

        return toServerSentEventsResponse(stream, { abortController })
      },
    },
  },
})

Client: React Component

// src/routes/index.tsx
import { useState } from 'react'
import { useChat, fetchServerSentEvents } from '@tanstack/ai-react'
import type { UIMessage } from '@tanstack/ai-react'

function ChatPage() {
  const [input, setInput] = useState('')

  const { messages, sendMessage, isLoading, error, stop } = useChat({
    connection: fetchServerSentEvents('/api/chat'),
  })

  const handleSubmit = () => {
    if (!input.trim()) return
    sendMessage(input.trim())
    setInput('')
  }

  return (
    <div>
      <div>
        {messages.map((message: UIMessage) => (
          <div key={message.id}>
            <strong>{message.role}:</strong>
            {message.parts.map((part, i) => {
              if (part.type === 'text') {
                return <p key={i}>{part.content}</p>
              }
              return null
            })}
          </div>
        ))}
      </div>

      {error && <div>Error: {error.message}</div>}

      <div>
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          onKeyDown={(e) => {
            if (e.key === 'Enter' && !e.shiftKey) {
              e.preventDefault()
              handleSubmit()
            }
          }}
          disabled={isLoading}
          placeholder="Type a message..."
        />
        {isLoading ? (
          <button onClick={stop}>Stop</button>
        ) : (
          <button onClick={handleSubmit} disabled={!input.trim()}>
            Send
          </button>
        )}
      </div>
    </div>
  )
}

Read the full file on GitHub · 768 lines

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 · 768 lines · 78 tokens per session scan A 48625b5612ce

Subscribe to this mod's changes

ai-core/chat-experience is a skill published in the GitHub repository TanStack/ai (3,056 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 6,192 once invoked, about $0.0004 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 2026-08-30.