ai-core/ag-ui-protocol

AG-UI Protocol

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

Setup — Server Endpoint Producing AG-UI Events via SSE

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-5.6'),
    messages,
  })
  return toServerSentEventsResponse(stream)
}

chat() returns an AsyncIterable<StreamChunk>. Each StreamChunk is a typed AG-UI event (discriminated union on type). The toServerSentEventsResponse() helper encodes that iterable into an SSE-formatted Response with correct headers.

Setup — Receiving AG-UI RunAgentInput on the Server

import {
  chat,
  chatParamsFromRequestBody,
  mergeAgentTools,
  toServerSentEventsResponse,
} from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'
import { serverTools } from './tools'

export async function POST(req: Request) {
  let params
  try {
    params = await chatParamsFromRequestBody(await req.json())
  } catch (error) {
    return new Response(
      error instanceof Error ? error.message : 'Bad request',
      { status: 400 },
    )
  }

  const stream = chat({
    adapter: openaiText('gpt-5.6'),
    messages: params.messages,
    tools: mergeAgentTools(serverTools, params.tools),
  })

  return toServerSentEventsResponse(stream)
}

chatParamsFromRequestBody validates the body against RunAgentInputSchema from @ag-ui/core. mergeAgentTools merges the server's tool registry with client-declared tools (server wins on collision; client-only tools become no-execute stubs that flow through the runtime's ClientToolRequest path).

params.messages is a mixed array of TanStack UIMessage anchors (with parts) and AG-UI fan-out duplicates ({role:'tool',...}, {role:'reasoning',...}). The existing convertMessagesToModelMessages (called inside chat()) handles dedup automatically.