[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-tanstack-ai-coreag-ui-protocol":3,"mdc-bpbil7-key":50,"related-org-tanstack-ai-coreag-ui-protocol":4861,"related-repo-tanstack-ai-coreag-ui-protocol":5005},{"slug":4,"name":5,"fn":6,"description":7,"org":8,"tags":12,"stars":21,"repoUrl":22,"updatedAt":23,"license":24,"forks":25,"topics":26,"repo":45,"sourceUrl":48,"mdContent":49},"ai-coreag-ui-protocol","ai-core\u002Fag-ui-protocol","implement TanStack AI streaming protocol","Server-side AG-UI streaming protocol implementation: StreamChunk event types (RUN_STARTED, TEXT_MESSAGE_START\u002FCONTENT\u002FEND, TOOL_CALL_START\u002FARGS\u002FEND, RUN_FINISHED, RUN_ERROR, STEP_STARTED\u002FSTEP_FINISHED, STATE_SNAPSHOT\u002FDELTA, CUSTOM), toServerSentEventsStream() for SSE format, toHttpStream() for NDJSON format. For backends serving AG-UI events without client packages.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},"tanstack","TanStack","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Ftanstack.png",[13,17,20],{"name":14,"slug":15,"type":16},"LLM","llm","tag",{"name":18,"slug":19,"type":16},"API Development","api-development",{"name":10,"slug":9,"type":16},2884,"https:\u002F\u002Fgithub.com\u002FTanStack\u002Fai","2026-07-16T06:04:10.093367",null,269,[27,28,29,30,31,32,33,34,15,35,36,37,38,39,40,9,41,42,43,44],"ai","ai-agents","ai-sdk","anthropic","chatbot","function-calling","gemini","generative-ai","multimodal","openai","react","solidjs","streaming","svelte","tool-calling","typescript","typescript-sdk","vue",{"repoUrl":22,"stars":21,"forks":25,"topics":46,"description":47},[27,28,29,30,31,32,33,34,15,35,36,37,38,39,40,9,41,42,43,44],"🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.","https:\u002F\u002Fgithub.com\u002FTanStack\u002Fai\u002Ftree\u002FHEAD\u002Fpackages\u002Fai\u002Fskills\u002Fai-core\u002Fag-ui-protocol","---\nname: ai-core\u002Fag-ui-protocol\ndescription: >\n Server-side AG-UI streaming protocol implementation: StreamChunk event\n types (RUN_STARTED, TEXT_MESSAGE_START\u002FCONTENT\u002FEND, TOOL_CALL_START\u002FARGS\u002FEND,\n RUN_FINISHED, RUN_ERROR, STEP_STARTED\u002FSTEP_FINISHED, STATE_SNAPSHOT\u002FDELTA,\n CUSTOM), toServerSentEventsStream() for SSE format, toHttpStream() for\n NDJSON format. For backends serving AG-UI events without client packages.\ntype: sub-skill\nlibrary: tanstack-ai\nlibrary_version: '0.10.0'\nsources:\n - 'TanStack\u002Fai:docs\u002Fprotocol\u002Fchunk-definitions.md'\n - 'TanStack\u002Fai:docs\u002Fprotocol\u002Fsse-protocol.md'\n - 'TanStack\u002Fai:docs\u002Fprotocol\u002Fhttp-stream-protocol.md'\n - 'TanStack\u002Fai:docs\u002Fprotocol\u002Fcustom-events.md'\n---\n\n# AG-UI Protocol\n\nThis skill builds on ai-core. Read it first for critical rules.\n\n## Setup — Server Endpoint Producing AG-UI Events via SSE\n\n```typescript\nimport { chat, toServerSentEventsResponse } from '@tanstack\u002Fai'\nimport { openaiText } from '@tanstack\u002Fai-openai'\n\nexport async function POST(request: Request) {\n const { messages } = await request.json()\n const stream = chat({\n adapter: openaiText('gpt-5.2'),\n messages,\n })\n return toServerSentEventsResponse(stream)\n}\n```\n\n`chat()` returns an `AsyncIterable\u003CStreamChunk>`. Each `StreamChunk` is a\ntyped AG-UI event (discriminated union on `type`). The `toServerSentEventsResponse()`\nhelper encodes that iterable into an SSE-formatted `Response` with correct headers.\n\n## Setup — Receiving AG-UI RunAgentInput on the Server\n\n```typescript\nimport {\n chat,\n chatParamsFromRequestBody,\n mergeAgentTools,\n toServerSentEventsResponse,\n} from '@tanstack\u002Fai'\nimport { openaiText } from '@tanstack\u002Fai-openai\u002Fadapters'\nimport { serverTools } from '.\u002Ftools'\n\nexport async function POST(req: Request) {\n let params\n try {\n params = await chatParamsFromRequestBody(await req.json())\n } catch (error) {\n return new Response(\n error instanceof Error ? error.message : 'Bad request',\n { status: 400 },\n )\n }\n\n const stream = chat({\n adapter: openaiText('gpt-4o'),\n messages: params.messages,\n tools: mergeAgentTools(serverTools, params.tools),\n })\n\n return toServerSentEventsResponse(stream)\n}\n```\n\n`chatParamsFromRequestBody` validates the body against `RunAgentInputSchema` from `@ag-ui\u002Fcore`. `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).\n\n`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.\n\n**Wire shape (POST body):** AG-UI `RunAgentInput` — `{threadId, runId, parentRunId?, state, messages, tools, context, forwardedProps}`. The `messages` array carries TanStack `UIMessage` anchors with their canonical `parts` plus AG-UI mirror fields (`content`, `toolCalls`) inline; tool results and thinking parts are additionally emitted as fan-out `{role:'tool',...}` and `{role:'reasoning',...}` entries.\n\n**`forwardedProps` security:** Don't spread it directly into `chat()` — clients could override `adapter`, `model`, `tools`, etc. Always allowlist specific fields.\n\n## Core Patterns\n\n### 1. SSE Format — toServerSentEventsStream \u002F toServerSentEventsResponse\n\n**Wire format:** Each event is `data: \u003CJSON>\\n\\n`. Stream ends with `data: [DONE]\\n\\n`.\n\n```typescript\nimport {\n chat,\n toServerSentEventsStream,\n toServerSentEventsResponse,\n} from '@tanstack\u002Fai'\nimport { openaiText } from '@tanstack\u002Fai-openai'\n\n\u002F\u002F Option A: Get a ReadableStream (manual Response construction)\nconst abortController = new AbortController()\nconst stream = chat({\n adapter: openaiText('gpt-5.2'),\n messages,\n abortController,\n})\nconst sseStream = toServerSentEventsStream(stream, abortController)\n\nconst response = new Response(sseStream, {\n headers: {\n 'Content-Type': 'text\u002Fevent-stream',\n 'Cache-Control': 'no-cache',\n Connection: 'keep-alive',\n },\n})\n\n\u002F\u002F Option B: Use the helper (sets headers automatically)\nconst response2 = toServerSentEventsResponse(stream, { abortController })\n\u002F\u002F Default headers: Content-Type: text\u002Fevent-stream, Cache-Control: no-cache, Connection: keep-alive\n```\n\n**Default response headers set by `toServerSentEventsResponse()`:**\n\n| Header | Value |\n| --------------- | ------------------- |\n| `Content-Type` | `text\u002Fevent-stream` |\n| `Cache-Control` | `no-cache` |\n| `Connection` | `keep-alive` |\n\nCustom headers merge on top (user headers override defaults):\n\n```typescript\ntoServerSentEventsResponse(stream, {\n headers: {\n 'X-Accel-Buffering': 'no', \u002F\u002F Disable nginx buffering\n 'Cache-Control': 'no-store', \u002F\u002F Override default\n },\n abortController,\n})\n```\n\n**Error handling:** If the stream throws, a `RUN_ERROR` event is emitted\nautomatically before the stream closes. If the `abortController` is already\naborted, the error event is suppressed and the stream closes silently.\n\n### 2. HTTP Stream (NDJSON) — toHttpStream \u002F toHttpResponse\n\n**Wire format:** Each event is `\u003CJSON>\\n` (newline-delimited JSON, no SSE prefix, no `[DONE]` marker).\n\n```typescript\nimport { chat, toHttpStream, toHttpResponse } from '@tanstack\u002Fai'\nimport { openaiText } from '@tanstack\u002Fai-openai'\n\n\u002F\u002F Option A: Get a ReadableStream\nconst abortController = new AbortController()\nconst stream = chat({\n adapter: openaiText('gpt-5.2'),\n messages,\n abortController,\n})\nconst ndjsonStream = toHttpStream(stream, abortController)\n\nconst response = new Response(ndjsonStream, {\n headers: {\n 'Content-Type': 'application\u002Fx-ndjson',\n },\n})\n\n\u002F\u002F Option B: Use the helper (does NOT set headers automatically)\nconst response2 = toHttpResponse(stream, { abortController })\n\u002F\u002F Note: toHttpResponse does NOT set Content-Type automatically.\n\u002F\u002F You should pass headers explicitly:\nconst response3 = toHttpResponse(stream, {\n headers: { 'Content-Type': 'application\u002Fx-ndjson' },\n abortController,\n})\n```\n\n**Client-side pairing:** SSE endpoints are consumed by `fetchServerSentEvents()`.\nHTTP stream endpoints are consumed by `fetchHttpStream()`. Both are connection\nadapters from `@tanstack\u002Fai-react` (or the framework-specific package).\n\n### 3. AG-UI Event Types Reference\n\nAll events extend `BaseAGUIEvent` which carries `type`, `timestamp`, optional\n`model`, and optional `rawEvent`.\n\n| Event Type | Description |\n| ---------------------- | --------------------------------------------------------------------------------------------------------------------------- |\n| `RUN_STARTED` | First event in a stream. Carries `runId` and optional `threadId`. |\n| `TEXT_MESSAGE_START` | New text message begins. Carries `messageId` and `role`. |\n| `TEXT_MESSAGE_CONTENT` | Incremental text token. Carries `messageId` and `delta` (the new text). |\n| `TEXT_MESSAGE_END` | Text message complete. Carries `messageId`. |\n| `TOOL_CALL_START` | Tool invocation begins. Carries `toolCallId`, `toolName`, and `index`. |\n| `TOOL_CALL_ARGS` | Incremental tool arguments JSON. Carries `toolCallId` and `delta`. |\n| `TOOL_CALL_END` | Tool call arguments complete. Carries `toolCallId` and `toolName`. |\n| `STEP_STARTED` | Thinking\u002Freasoning step begins. Carries `stepId` and optional `stepType`. |\n| `STEP_FINISHED` | Thinking step complete. Carries `stepId`, `delta`, and optional `content`. |\n| `MESSAGES_SNAPSHOT` | Full conversation transcript snapshot. Carries `messages: Array\u003CUIMessage>`. |\n| `STATE_SNAPSHOT` | Full application state snapshot. Carries `state: Record\u003Cstring, unknown>`. |\n| `STATE_DELTA` | Incremental state update. Carries `delta: Record\u003Cstring, unknown>`. |\n| `CUSTOM` | Extension point. Carries `name` (string) and optional `value` (unknown). |\n| `RUN_FINISHED` | Stream complete. Carries `runId` and `finishReason` (`'stop'` \u002F `'length'` \u002F `'content_filter'` \u002F `'tool_calls'` \u002F `null`). |\n| `RUN_ERROR` | Error during stream. Carries optional `runId` and `error: { message, code? }`. |\n\n**Typical event sequence for a text-only response:**\n\n```\nRUN_STARTED -> TEXT_MESSAGE_START -> TEXT_MESSAGE_CONTENT (repeated) -> TEXT_MESSAGE_END -> RUN_FINISHED\n```\n\n**Typical event sequence with tool calls:**\n\n```\nRUN_STARTED -> TEXT_MESSAGE_START -> TEXT_MESSAGE_CONTENT* -> TEXT_MESSAGE_END\n -> TOOL_CALL_START -> TOOL_CALL_ARGS* -> TOOL_CALL_END\n -> RUN_FINISHED (finishReason: 'tool_calls')\n```\n\n**Type aliases:** `StreamChunk` is an alias for `AGUIEvent` (the discriminated\nunion of all event interfaces). `StreamChunkType` is an alias for `AGUIEventType`\n(the string union of all event type literals).\n\n### 4. Typed CUSTOM Events — `ChatStream` and `KnownCustomEvent`\n\nThe `CUSTOM` row above describes the raw `StreamChunk` union, where the single\ngeneric `CustomEvent` member types `value` as `any` -- once merged into a\nunion, that `any` poisons every other member too, so narrowing on `name`\nstill leaves `value: any`. `chat()` doesn't return raw `StreamChunk`; by\ndefault (no `outputSchema`, `stream` not explicitly `false`) it returns\n`ChatStream`, which swaps that generic member for `KnownCustomEvent` -- a\ndiscriminated union of every `CUSTOM` event TanStack AI itself emits, each\nwith a literal `name` and a concrete `value`. Narrow with a plain `if` --\nno helper, no cast:\n\n```typescript\nimport { chat } from '@tanstack\u002Fai'\nimport { openaiText } from '@tanstack\u002Fai-openai'\n\nconst stream = chat({\n adapter: openaiText('gpt-5.2'),\n messages,\n})\n\nfor await (const chunk of stream) {\n if (chunk.type === 'CUSTOM' && chunk.name === 'sandbox.file.diff') {\n console.log(chunk.value.path, chunk.value.diff) \u002F\u002F typed, no helper, no cast\n } else if (\n chunk.type === 'CUSTOM' &&\n chunk.name === 'structured-output.complete'\n ) {\n console.log(chunk.value.object) \u002F\u002F typed, no helper, no cast\n }\n}\n```\n\n**Caveat -- `.endsWith()` (or any non-literal check) does not narrow.**\n`SessionIdEvent['name']` is the template-literal type\n`` `${string}.session-id` ``. TypeScript's control-flow narrowing only\nunderstands exact comparisons (`===`) and `in`\u002Ftype-predicate checks against\na discriminant -- a runtime `chunk.name.endsWith('.session-id')` check\ndoesn't inform the type system, so `chunk.value` stays the union of every\n`KnownCustomEvent`'s `value`, not `{ sessionId: string }`. Compare against\nthe exact literal you expect, or write a user-defined type predicate\n(`(c): c is SessionIdEvent => c.name.endsWith('.session-id')`) and call that\nin the `if` instead.\n\n**User-emitted `emitCustomEvent` names are typed out of `ChatStream`.** Tools\nthat call `context.emitCustomEvent('my-app:progress', ...)` still stream a\n`CUSTOM` chunk at runtime, but `'my-app:progress'` isn't one of\n`KnownCustomEvent`'s literal names, so it's intentionally absent from\n`ChatStream`'s type -- including a generic fallback member would reintroduce\nthe `value: any` poison for every other event on the stream. To read your own\nevent with a type, annotate the stream as the wider `StreamChunk` instead of\n`ChatStream` for that branch; its generic `CUSTOM` member already types\n`value` as `any`, so no cast is needed there either.\n\nSource: docs\u002Fprotocol\u002Fcustom-events.md\n\n## Common Mistakes\n\n### MEDIUM: Proxy buffering breaks SSE streaming\n\nReverse proxies (nginx, Cloudflare, AWS ALB) buffer SSE responses by default,\ncausing events to arrive in batches instead of streaming token-by-token.\n\nFix: Set proxy-bypass headers on the response.\n\n```typescript\ntoServerSentEventsResponse(stream, {\n headers: {\n 'X-Accel-Buffering': 'no', \u002F\u002F nginx\n 'X-Content-Type-Options': 'nosniff', \u002F\u002F Some CDNs\n },\n abortController,\n})\n```\n\nFor Cloudflare Workers, SSE streams automatically. For Cloudflare proxied\norigins, ensure \"Response Buffering\" is disabled in the dashboard.\n\nSource: docs\u002Fprotocol\u002Fsse-protocol.md\n\n### MEDIUM: Assuming all AG-UI events arrive in every response\n\nNot all event types appear in every stream:\n\n- `STEP_STARTED` \u002F `STEP_FINISHED` only appear with thinking-enabled models\n (e.g., `o3`, `claude-sonnet-4-5` with extended thinking). Standard models\n skip these entirely.\n- `TOOL_CALL_START` \u002F `TOOL_CALL_ARGS` \u002F `TOOL_CALL_END` only appear when\n the model invokes tools. A text-only response has none.\n- `STATE_SNAPSHOT` \u002F `STATE_DELTA` only appear when server code explicitly\n emits them for stateful agent workflows.\n- `MESSAGES_SNAPSHOT` only appears when the server explicitly sends a\n full transcript snapshot.\n- `CUSTOM` events are application-defined and never emitted by default.\n\nCode that expects a fixed sequence (e.g., always waiting for `STEP_FINISHED`\nbefore processing text) will hang or break on models that don't emit those events.\n\nSource: docs\u002Fprotocol\u002Fchunk-definitions.md\n\n## Tension\n\nRESOLVED: TanStack AI is fully AG-UI compliant on both axes (server→client events\nAND client→server `RunAgentInput`). The wire format carries TanStack `UIMessage`\nanchors with their parts intact alongside AG-UI fan-out messages, so strict AG-UI\nservers see role-based messages while TanStack-aware servers read parts directly\nwithout transformation. See `docs\u002Fmigration\u002Fag-ui-compliance.md` for details.\n\n## Cross-References\n\n- See also: `ai-core\u002Fcustom-backend-integration\u002FSKILL.md` -- Custom backends must implement SSE or HTTP stream format to work with TanStack AI client connection adapters.\n- See also: `ai-core\u002Fmiddleware\u002FSKILL.md` -- `sandbox.file.diff`'s `{ path, diff }` value (one of `KnownCustomEvent`'s members) is populated from the same lazy `before()`\u002F`after()`\u002F`diff()` accessors documented there for `onFile*` middleware hooks.\n- Full CUSTOM event taxonomy: `docs\u002Fprotocol\u002Fcustom-events.md`.\n",{"data":51,"body":60},{"name":5,"description":7,"type":52,"library":53,"library_version":54,"sources":55},"sub-skill","tanstack-ai","0.10.0",[56,57,58,59],"TanStack\u002Fai:docs\u002Fprotocol\u002Fchunk-definitions.md","TanStack\u002Fai:docs\u002Fprotocol\u002Fsse-protocol.md","TanStack\u002Fai:docs\u002Fprotocol\u002Fhttp-stream-protocol.md","TanStack\u002Fai:docs\u002Fprotocol\u002Fcustom-events.md",{"type":61,"children":62},"root",[63,72,78,85,451,502,508,1171,1214,1272,1349,1393,1399,1406,1431,1976,1990,2076,2081,2235,2261,2267,2291,2846,2880,2886,2927,3430,3438,3448,3456,3465,3505,3524,3666,4210,4311,4413,4418,4424,4430,4435,4440,4592,4597,4602,4608,4613,4707,4719,4724,4730,4757,4763,4855],{"type":64,"tag":65,"props":66,"children":68},"element","h1",{"id":67},"ag-ui-protocol",[69],{"type":70,"value":71},"text","AG-UI Protocol",{"type":64,"tag":73,"props":74,"children":75},"p",{},[76],{"type":70,"value":77},"This skill builds on ai-core. 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A text-only response has none.",{"type":64,"tag":4618,"props":4672,"children":4673},{},[4674,4679,4680,4685],{"type":64,"tag":93,"props":4675,"children":4677},{"className":4676},[],[4678],{"type":70,"value":3264},{"type":70,"value":3371},{"type":64,"tag":93,"props":4681,"children":4683},{"className":4682},[],[4684],{"type":70,"value":3288},{"type":70,"value":4686}," only appear when server code explicitly\nemits them for stateful agent workflows.",{"type":64,"tag":4618,"props":4688,"children":4689},{},[4690,4695],{"type":64,"tag":93,"props":4691,"children":4693},{"className":4692},[],[4694],{"type":70,"value":3240},{"type":70,"value":4696}," only appears when the server explicitly sends a\nfull transcript snapshot.",{"type":64,"tag":4618,"props":4698,"children":4699},{},[4700,4705],{"type":64,"tag":93,"props":4701,"children":4703},{"className":4702},[],[4704],{"type":70,"value":3312},{"type":70,"value":4706}," events are application-defined and never emitted by default.",{"type":64,"tag":73,"props":4708,"children":4709},{},[4710,4712,4717],{"type":70,"value":4711},"Code that expects a fixed sequence (e.g., always waiting for ",{"type":64,"tag":93,"props":4713,"children":4715},{"className":4714},[],[4716],{"type":70,"value":3205},{"type":70,"value":4718},"\nbefore processing text) will hang or break on models that don't emit those events.",{"type":64,"tag":73,"props":4720,"children":4721},{},[4722],{"type":70,"value":4723},"Source: docs\u002Fprotocol\u002Fchunk-definitions.md",{"type":64,"tag":79,"props":4725,"children":4727},{"id":4726},"tension",[4728],{"type":70,"value":4729},"Tension",{"type":64,"tag":73,"props":4731,"children":4732},{},[4733,4735,4740,4742,4747,4749,4755],{"type":70,"value":4734},"RESOLVED: TanStack AI is fully AG-UI compliant on both axes (server→client events\nAND client→server ",{"type":64,"tag":93,"props":4736,"children":4738},{"className":4737},[],[4739],{"type":70,"value":1288},{"type":70,"value":4741},"). The wire format carries TanStack ",{"type":64,"tag":93,"props":4743,"children":4745},{"className":4744},[],[4746],{"type":70,"value":1230},{"type":70,"value":4748},"\nanchors with their parts intact alongside AG-UI fan-out messages, so strict AG-UI\nservers see role-based messages while TanStack-aware servers read parts directly\nwithout transformation. See ",{"type":64,"tag":93,"props":4750,"children":4752},{"className":4751},[],[4753],{"type":70,"value":4754},"docs\u002Fmigration\u002Fag-ui-compliance.md",{"type":70,"value":4756}," for details.",{"type":64,"tag":79,"props":4758,"children":4760},{"id":4759},"cross-references",[4761],{"type":70,"value":4762},"Cross-References",{"type":64,"tag":4614,"props":4764,"children":4765},{},[4766,4779,4843],{"type":64,"tag":4618,"props":4767,"children":4768},{},[4769,4771,4777],{"type":70,"value":4770},"See also: ",{"type":64,"tag":93,"props":4772,"children":4774},{"className":4773},[],[4775],{"type":70,"value":4776},"ai-core\u002Fcustom-backend-integration\u002FSKILL.md",{"type":70,"value":4778}," -- Custom backends must implement SSE or HTTP stream format to work with TanStack AI client connection adapters.",{"type":64,"tag":4618,"props":4780,"children":4781},{},[4782,4783,4789,4791,4796,4797,4803,4805,4810,4812,4818,4820,4826,4827,4833,4835,4841],{"type":70,"value":4770},{"type":64,"tag":93,"props":4784,"children":4786},{"className":4785},[],[4787],{"type":70,"value":4788},"ai-core\u002Fmiddleware\u002FSKILL.md",{"type":70,"value":4790}," -- ",{"type":64,"tag":93,"props":4792,"children":4794},{"className":4793},[],[4795],{"type":70,"value":3956},{"type":70,"value":4280},{"type":64,"tag":93,"props":4798,"children":4800},{"className":4799},[],[4801],{"type":70,"value":4802},"{ path, diff }",{"type":70,"value":4804}," value (one of ",{"type":64,"tag":93,"props":4806,"children":4808},{"className":4807},[],[4809],{"type":70,"value":3523},{"type":70,"value":4811},"'s members) is populated from the same lazy ",{"type":64,"tag":93,"props":4813,"children":4815},{"className":4814},[],[4816],{"type":70,"value":4817},"before()",{"type":70,"value":4819},"\u002F",{"type":64,"tag":93,"props":4821,"children":4823},{"className":4822},[],[4824],{"type":70,"value":4825},"after()",{"type":70,"value":4819},{"type":64,"tag":93,"props":4828,"children":4830},{"className":4829},[],[4831],{"type":70,"value":4832},"diff()",{"type":70,"value":4834}," accessors documented there for ",{"type":64,"tag":93,"props":4836,"children":4838},{"className":4837},[],[4839],{"type":70,"value":4840},"onFile*",{"type":70,"value":4842}," middleware hooks.",{"type":64,"tag":4618,"props":4844,"children":4845},{},[4846,4848,4854],{"type":70,"value":4847},"Full CUSTOM event taxonomy: ",{"type":64,"tag":93,"props":4849,"children":4851},{"className":4850},[],[4852],{"type":70,"value":4853},"docs\u002Fprotocol\u002Fcustom-events.md",{"type":70,"value":303},{"type":64,"tag":4856,"props":4857,"children":4858},"style",{},[4859],{"type":70,"value":4860},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":4862,"total":5004},[4863,4879,4891,4903,4918,4930,4940,4950,4963,4973,4984,4994],{"slug":4864,"name":4864,"fn":4865,"description":4866,"org":4867,"tags":4868,"stars":4876,"repoUrl":4877,"updatedAt":4878},"aggregation","perform data aggregation in TanStack Table","Aggregate TanStack Table columns independently of grouping, including grand totals, caller-selected row totals, multiple keyed aggregations, custom context-based definitions, grouped merges, manual values, and worker constraints.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4869,4872,4875],{"name":4870,"slug":4871,"type":16},"Data Analysis","data-analysis",{"name":4873,"slug":4874,"type":16},"Frontend","frontend",{"name":10,"slug":9,"type":16},28175,"https:\u002F\u002Fgithub.com\u002FTanStack\u002Ftable","2026-07-30T05:25:59.429787",{"slug":4880,"name":4880,"fn":4881,"description":4882,"org":4883,"tags":4884,"stars":4876,"repoUrl":4877,"updatedAt":4890},"api-not-found","diagnose TanStack Table API errors","Diagnose missing TanStack Table v9 exports, options, state slices, and instance methods. Load before inventing an API when code sees a type error, undefined feature method, absent object key, adapter mismatch, or v8-shaped example.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4885,4888,4889],{"name":4886,"slug":4887,"type":16},"Debugging","debugging",{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:26:05.418735",{"slug":4892,"name":4892,"fn":4893,"description":4894,"org":4895,"tags":4896,"stars":4876,"repoUrl":4877,"updatedAt":4902},"cell-selection","select rectangular cell ranges in tables","Select rectangular cell ranges with cellSelectionFeature: two-corner range state keyed by row and column id, mousedown\u002Fmouseenter handlers, selection edges, render-order resolution under pinning, and autoResetCellSelection. Load when ranges widen unexpectedly after sorting or column reordering, when a drag re-renders the whole table, or when building copy-to-clipboard from a selection.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4897,4898,4899],{"name":4870,"slug":4871,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"UI Components","ui-components","2026-07-30T05:25:38.403427",{"slug":4904,"name":4904,"fn":4905,"description":4906,"org":4907,"tags":4908,"stars":4876,"repoUrl":4877,"updatedAt":4917},"client-vs-server","manage TanStack Table data pipelines","Choose client or server ownership for filtering, grouping, sorting, expanding, and pagination in TanStack Table v9. Load for manual* flags, mixed pipelines, server counts, or deciding which dataset each row-model stage receives.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4909,4912,4913,4916],{"name":4910,"slug":4911,"type":16},"Data Pipeline","data-pipeline",{"name":4873,"slug":4874,"type":16},{"name":4914,"slug":4915,"type":16},"Performance","performance",{"name":10,"slug":9,"type":16},"2026-07-30T05:25:45.400104",{"slug":4919,"name":4919,"fn":4920,"description":4921,"org":4922,"tags":4923,"stars":4876,"repoUrl":4877,"updatedAt":4929},"column-faceting","build faceted filter UIs","Build faceted filter UIs with columnFacetingFeature, facetedRowModel, facetedUniqueValues, and facetedMinMaxValues. Load for facet counts, numeric ranges, own-filter exclusion, or server-page facet completeness.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4924,4927,4928],{"name":4925,"slug":4926,"type":16},"Data Visualization","data-visualization",{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:25:41.397257",{"slug":4931,"name":4931,"fn":4932,"description":4933,"org":4934,"tags":4935,"stars":4876,"repoUrl":4877,"updatedAt":4939},"column-filtering","implement column filtering in TanStack Table","Filter columns with columnFilteringFeature, filteredRowModel, filterFns, filterMeta, nested-row direction, and manualFiltering. Load for accessor compatibility, controlled filter updaters, fuzzy metadata, or client\u002Fserver ownership.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4936,4937,4938],{"name":4870,"slug":4871,"type":16},{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:25:53.391632",{"slug":4941,"name":4941,"fn":4942,"description":4943,"org":4944,"tags":4945,"stars":4876,"repoUrl":4877,"updatedAt":4949},"column-ordering","manage TanStack Table column ordering","Control TanStack Table v9 leaf columnOrder with stable IDs while accounting for pinning regions, visibility, and groupedColumnMode precedence. Load for drag-and-drop columns or rendered order that differs from state.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4946,4947,4948],{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:26:03.37801",{"slug":4951,"name":4951,"fn":4952,"description":4953,"org":4954,"tags":4955,"stars":4876,"repoUrl":4877,"updatedAt":4962},"column-pinning","configure column pinning in TanStack Table","Pin columns into logical start, center, and end regions with columnPinningFeature and renderer-owned sticky CSS. Load for RTL offsets, z-index, backgrounds, overflow, widths, gaps, or overlaps.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4956,4959,4960,4961],{"name":4957,"slug":4958,"type":16},"CSS","css",{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:25:55.377366",{"slug":4964,"name":4964,"fn":4965,"description":4966,"org":4967,"tags":4968,"stars":4876,"repoUrl":4877,"updatedAt":4972},"column-resizing","implement column resizing in TanStack Table","Wire columnResizingFeature, header.getResizeHandler, resize mode and direction, pointer or touch events, and performant CSS-variable updates. Load when resize state changes but widths do not, or large tables resize slowly.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4969,4970,4971],{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:25:51.400011",{"slug":4974,"name":4974,"fn":4975,"description":4976,"org":4977,"tags":4978,"stars":4876,"repoUrl":4877,"updatedAt":4983},"column-sizing","configure column sizing in TanStack Table","Use columnSizingFeature numeric size, minSize, maxSize, getSize, getStart, getAfter, and total-size APIs in table, grid, or flex CSS. Load for auto or percentage misconceptions and sizing\u002Fpinning layout mismatch.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4979,4980,4981,4982],{"name":4957,"slug":4958,"type":16},{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:25:48.703799",{"slug":4985,"name":4985,"fn":4986,"description":4987,"org":4988,"tags":4989,"stars":4876,"repoUrl":4877,"updatedAt":4993},"column-visibility","manage column visibility in TanStack Table","Hide columns with columnVisibilityFeature while rendering visibility-aware header, column, and cell collections. Load when hidden columns remain in the DOM, false-versus-absent state is confused, or enableHiding is misunderstood.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[4990,4991,4992],{"name":4873,"slug":4874,"type":16},{"name":10,"slug":9,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:25:47.367943",{"slug":4995,"name":4995,"fn":4996,"description":4997,"org":4998,"tags":4999,"stars":4876,"repoUrl":4877,"updatedAt":5003},"core","build data grids with TanStack Table","Use TanStack Table v9 as a headless data-grid state and row-processing engine. Load for first-table architecture, stable data and columns, row numbering with getDisplayIndex, semantic rendering, framework adapter choice, or deciding what Table owns versus the renderer.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5000,5001,5002],{"name":4870,"slug":4871,"type":16},{"name":4873,"slug":4874,"type":16},{"name":4900,"slug":4901,"type":16},"2026-07-30T05:25:52.366295",125,{"items":5006,"total":1141},[5007,5025,5040,5054,5060,5072,5086],{"slug":5008,"name":5008,"fn":5009,"description":5010,"org":5011,"tags":5012,"stars":21,"repoUrl":22,"updatedAt":5024},"ai-code-mode","execute sandboxed TypeScript code with LLMs","LLM-generated TypeScript execution in sandboxed environments: createCodeModeTool() with isolate drivers (createNodeIsolateDriver, createQuickJSIsolateDriver, createCloudflareIsolateDriver), codeModeWithSkills() for persistent skill libraries, trust strategies, skill storage (FileSystem, LocalStorage, InMemory, Mongo), client-side execution progress via code_mode:* custom events in useChat.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5013,5015,5018,5021,5022],{"name":5014,"slug":29,"type":16},"AI SDK",{"name":5016,"slug":5017,"type":16},"Code Execution","code-execution",{"name":5019,"slug":5020,"type":16},"Sandboxing","sandboxing",{"name":10,"slug":9,"type":16},{"name":5023,"slug":42,"type":16},"TypeScript","2026-07-16T06:04:13.597905",{"slug":5026,"name":5026,"fn":5027,"description":5028,"org":5029,"tags":5030,"stars":21,"repoUrl":22,"updatedAt":5039},"ai-core","configure TanStack AI agent features","Entry point for TanStack AI skills. Routes to chat-experience, tool-calling, media-generation, structured-outputs, adapter-configuration, ag-ui-protocol, middleware, locks, custom-backend-integration, and debug-logging, plus the skills shipped by companion packages (@tanstack\u002Fai-persistence, @tanstack\u002Fai-code-mode). Use chat() not streamText(), openaiText() not createOpenAI(), toServerSentEventsResponse() not manual SSE, middleware hooks not onEnd callbacks.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5031,5034,5036],{"name":5032,"slug":5033,"type":16},"Agents","agents",{"name":5035,"slug":27,"type":16},"AI",{"name":5037,"slug":5038,"type":16},"Middleware","middleware","2026-07-30T05:26:10.404565",{"slug":5041,"name":5042,"fn":5043,"description":5044,"org":5045,"tags":5046,"stars":21,"repoUrl":22,"updatedAt":5053},"ai-coreadapter-configuration","ai-core\u002Fadapter-configuration","configure AI provider adapters","Provider adapter selection and configuration: openaiText, anthropicText, geminiText, ollamaText, grokText, groqText, openRouterText, bedrockText, openaiCompatible. Per-model type safety with modelOptions, reasoning\u002Fthinking configuration, runtime adapter switching, extendAdapter() for custom models, createModel(). Generic OpenAI-compatible providers (DeepSeek, Together, Fireworks, etc.) via openaiCompatible({ baseURL, apiKey, models }) from @tanstack\u002Fai-openai\u002Fcompatible. API key env vars: OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY\u002FGEMINI_API_KEY, XAI_API_KEY, GROQ_API_KEY, OPENROUTER_API_KEY, OLLAMA_HOST, BEDROCK_API_KEY (or AWS_BEARER_TOKEN_BEDROCK).\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5047,5048,5051,5052],{"name":5014,"slug":29,"type":16},{"name":5049,"slug":5050,"type":16},"Configuration","configuration",{"name":14,"slug":15,"type":16},{"name":10,"slug":9,"type":16},"2026-07-16T06:04:17.82075",{"slug":4,"name":5,"fn":6,"description":7,"org":5055,"tags":5056,"stars":21,"repoUrl":22,"updatedAt":23},{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5057,5058,5059],{"name":18,"slug":19,"type":16},{"name":14,"slug":15,"type":16},{"name":10,"slug":9,"type":16},{"slug":5061,"name":5062,"fn":5063,"description":5064,"org":5065,"tags":5066,"stars":21,"repoUrl":22,"updatedAt":5071},"ai-corechat-experience","ai-core\u002Fchat-experience","implement chat experiences with TanStack AI","End-to-end chat implementation: server endpoint with chat() and toServerSentEventsResponse(), client-side useChat hook with fetchServerSentEvents(), message rendering with UIMessage parts, multimodal content, thinking\u002Freasoning display. Covers streaming states, connection adapters, and message format conversions. NOT Vercel AI SDK — uses chat() not streamText().\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5067,5068,5069,5070],{"name":18,"slug":19,"type":16},{"name":4873,"slug":4874,"type":16},{"name":14,"slug":15,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:26:11.505241",{"slug":5073,"name":5074,"fn":5075,"description":5076,"org":5077,"tags":5078,"stars":21,"repoUrl":22,"updatedAt":5085},"ai-coreclient-persistence","ai-core\u002Fclient-persistence","implement browser chat persistence for TanStack AI","Browser chat persistence on useChat \u002F ChatClient: localStoragePersistence, sessionStoragePersistence, indexedDBPersistence. Client-authoritative (adapter, full transcript) vs server-authoritative (persistence: true, no client cache). Reload restore, pending interrupts, mid-stream rejoin with delivery durability. Use for SPA reload durability — NOT server history alone. No extra package: the adapters ship in the framework packages.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5079,5080,5081,5084],{"name":5035,"slug":27,"type":16},{"name":4873,"slug":4874,"type":16},{"name":5082,"slug":5083,"type":16},"Persistence","persistence",{"name":10,"slug":9,"type":16},"2026-07-30T05:53:35.503176",{"slug":5087,"name":5088,"fn":5089,"description":5090,"org":5091,"tags":5092,"stars":21,"repoUrl":22,"updatedAt":5099},"ai-corecustom-backend-integration","ai-core\u002Fcustom-backend-integration","integrate custom backends with TanStack AI","Connect useChat to a non-TanStack-AI backend through custom connection adapters. ConnectConnectionAdapter (single async iterable) vs SubscribeConnectionAdapter (separate subscribe\u002Fsend). Customize fetchServerSentEvents() and fetchHttpStream() with auth headers, custom URLs, and request options. Import from framework package, not @tanstack\u002Fai-client.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[5093,5094,5095,5098],{"name":5035,"slug":27,"type":16},{"name":18,"slug":19,"type":16},{"name":5096,"slug":5097,"type":16},"Backend","backend",{"name":10,"slug":9,"type":16},"2026-07-17T06:06:39.855351"]