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feat(ai-client,ai-react): add fetcher option to ChatClient/useChat (#512)
* feat(ai-client,ai-react): add `fetcher` option to ChatClient/useChat Mirrors the `fetcher` option on the multimedia hooks (useGenerateSpeech / useSummarize / useTranscription / useGenerateImage). Pass either `connection` (a ConnectionAdapter) or `fetcher` (a direct async function — typically a TanStack Start server function) — runtime XOR validation. The fetcher may return either a Response (parsed as SSE) or an AsyncIterable<StreamChunk> (yielded directly). Internally, fetcher is wrapped via `fetcherToConnectionAdapter` and reuses the same subscribe/ send queue plumbing as every other connection adapter — no new code paths in ChatClient itself. Purely additive: stream(), rpcStream(), fetchServerSentEvents(), and fetchHttpStream() are unchanged. Other framework wrappers (ai-solid, ai-vue, ai-svelte) untouched in this branch — same shape can be added to each in a follow-up if this design is preferred. Sketch alternative to #508 (the stream() connection-adapter approach) for design comparison. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * ci: apply automated fixes * fix(ai-client): port #508 robustness fixes onto fetcher-alt branch The fetcher path uses the same SSE parsing and connect-wrapper plumbing as the stream() path on #508, so the polish that landed during #508's review applies directly here. Carry it over so this branch has the same robustness. - Skip SSE control lines (`:` comments, `event:` / `id:` / `retry:`) in responseToSSEChunks. Proxies and CDNs inject these as keepalives; letting them through would feed JSON.parse a non-payload line. - Drop unterminated trailing buffer in readStreamLines. A non-empty buffer at stream end means the connection was cut mid-line, so the data is partial — yielding it would surface a misleading RUN_ERROR for what is really a transport-layer issue. - Surface JSON.parse failures in responseToSSEChunks and fetchHttpStream. Stop swallowing them behind console.warn; let SyntaxError propagate so the connect-wrapper turns it into a visible RUN_ERROR. - Drop unsafe `as unknown as StreamChunk` casts in normalizeConnectionAdapter's synthesized RUN_FINISHED / RUN_ERROR events. Use EventType + RunFinishedEvent / RunErrorEvent so missing required fields are caught by the compiler. Track upstream threadId/runId from chunks and reuse them in the synthesis instead of fabricating both ids unconditionally. - Forward optional abortSignal third arg through stream() and rpcStream() factory signatures. Backwards-compatible for existing callers; lets long-running factories cancel when useChat aborts. Mirrors what fetcherToConnectionAdapter already does. Tests: - Update the two `should handle malformed JSON gracefully` tests to assert SyntaxError throws instead of silent drop. - Update stream() / rpcStream() factory mock assertions to expect the new third arg. - Add chat-fetcher test asserting a fetcher returning a malformed-SSE Response surfaces as a RUN_ERROR via onError. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * refactor(ai-client): enforce connection/fetcher XOR via ChatTransport type Promote `ChatClientOptions` to a discriminated union so exactly one of `connection` or `fetcher` is required at the type level, surface stream truncation as a `StreamTruncatedError` instead of a silent warn, synthesize RUN_FINISHED on legacy `[DONE]` sentinels, and abort fetcher-returned async iterables that ignore their signal. Update framework wrappers (react/preact/solid/svelte/vue) and the e2e route to match. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * refactor(hooks): branch on connection/fetcher in useChat instead of spreading a partial transport Mirrors the pattern in `useGeneration` (multimedia hooks): build a `baseOptions` literal once, then call `new ChatClient(...)` in two narrow branches with the matching transport. Drops the `optionsRef.current.fetcher!` non-null assertion and the awkward discriminated-union spread, and provides a clear hook-level error when neither `connection` nor `fetcher` is provided. Applied to all five chat hooks: ai-react, ai-preact, ai-solid, ai-vue, ai-svelte. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore(release): bump framework hooks to minor for fetcher option Add `@tanstack/ai-preact`, `ai-solid`, `ai-svelte`, and `ai-vue` to the fetcher changeset as minor bumps — they all expose the new `fetcher` option transitively via `ChatClientOptions`. Also simplify the hooks to pick the transport into a single object before constructing `ChatClient`, instead of duplicating the option bag in if/else branches. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore(release): downgrade non-react framework hooks to patch `ai-preact`, `ai-solid`, `ai-svelte`, and `ai-vue` don't add any new public exports — they only adjust internal plumbing to handle the new connection/fetcher XOR shape from `ai-client`. `ai-react` stays minor because it genuinely re-exports new symbols (`rpcStream`, `ChatFetcher`, `ChatFetcherInput`, `ChatFetcherOptions`). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Merge branch 'main' into claude/usechat-fetcher-alternative Resolves conflicts in 9 files arising from main's changes since the PR was opened (#511 AG-UI compliance, #545 openai-base refactor, #564 stricter TS, #576 useChat partial/final reset, #577 structured-output). Notable resolutions: - chat-client.ts: Kept PR's `resolveTransport()` for connection/fetcher XOR; combined with main's two-slot `bodyOption`/`forwardedPropsOption` + AG-UI `threadId`. Removed `!` non-null assertions to satisfy main's tightened lint. - connection-adapters.ts: Kept PR's `responseToSSEChunks` / `fetcherToConnectionAdapter` / `StreamTruncatedError` alongside main's new `RunAgentInputContext`. Synthesized RUN_FINISHED/RUN_ERROR now prefer upstream-observed IDs, fall back to runContext, then synthesize. - Framework hooks (react/preact/solid/vue/svelte): Combined PR's `transport` ternary with main's `exactOptionalPropertyTypes` conditional spreads. - chat-fetcher.test.ts: Dropped `conversationId` expectation from `data` — AG-UI now sends `threadId` at the wire top level, not in the body. Verified: - @tanstack/ai-client: 228/228 tests pass, tsc clean - @tanstack/ai-react: 118/118 tests pass, tsc clean - Other framework hooks: tsc clean (svelte pre-existing $state errors unrelated to merge area) * fix(ai-client): expose threadId/runId on ChatFetcherInput After merging main (AG-UI compliance, #511), the chat client stopped injecting `conversationId` into the request body — `threadId` is now sent at the AG-UI wire root via `RunAgentInputContext`. But the fetcher path (PR #512's whole point) only receives `{ messages, data }`, so fetcher-using consumers had no way to access any correlation identifier for the turn. Thread `runContext.threadId` / `runContext.runId` through `fetcherToConnectionAdapter` and surface them as required fields on `ChatFetcherInput`. Users wrapping a `fetch()` call can now forward the ids to their server like the connection adapters already do. Also throws if `runContext` is missing — chat-client always supplies it, so a missing value indicates a bug worth surfacing immediately rather than silently fabricating a date-based id. Restores the test assertion against the new fields (the previous `conversationId` assertion was removed in the merge because the field moved to the wire root — but for fetcher consumers, neither path was left). * fix(ai-client,hooks): tighten error handling and preserve ChatTransport XOR in useChat options Addresses four items from the merge review: 1. Drop the deprecated `error: { message }` nested field from synthesized RUN_ERROR events. The top-level `message` field already satisfies AG-UI's `RunErrorEventSchema`; the nested form is `@deprecated` per the type doc. 2. Replace the `${Date.now()}` fallback in synthesized RUN_FINISHED / RUN_ERROR with an explicit throw. The chat client always supplies `runContext.threadId` / `runId`, so a missing value indicates a wiring bug worth surfacing instead of fabricating a date-based id that breaks `activeRunIds` correlation downstream. 3. Replace the `(chunk as { runId?: string }).runId` structural cast in chat-client with the `'runId' in chunk` narrowing pattern already used elsewhere in connection-adapters. Removes the cast without adding a runtime check. 4. Distribute `Omit` over `ChatClientOptions` in every framework hook's `UseChatOptions` / `CreateChatOptions` (via new `DistributedOmit` helper exported from `@tanstack/ai-client`). Plain `Omit` collapsed the `ChatTransport` discriminated union into a flat shape, forcing a load-bearing `optionsRef.current.fetcher!` non-null assertion in all five hooks. After this change: - `useChat({})` is a compile error - `useChat({ connection, fetcher })` is a compile error - Narrowing on `!opts.connection` types `opts.fetcher` as `ChatFetcher` (non-undefined) — the `!` is removed in react/preact/solid/vue/svelte hooks. Adds a type-only test in ai-react probing the XOR so a future refactor that drops `DistributedOmit` would fail compile. Tests updated: - connection-adapters.test.ts: two synthesis tests now pass `runContext` to `adapter.send()` (previously relied on the date-fallback behavior). * fix(e2e): post AG-UI wire envelope from fetcher-mode chat route The e2e fetcher was posting `{ messages, data, threadId, runId, provider, feature, testId, aimockPort }` — a pre-AG-UI shape that `chatParamsFromRequestBody` rejects (it validates against AG-UI's `RunAgentInputSchema`). The connection adapter avoids this because `fetchServerSentEvents` builds the full envelope internally; the fetcher path bypasses that. Mirror what `fetchServerSentEvents` posts: - Convert messages with `uiMessagesToWire` (parts → string content). - Include `state: {}`, `tools: []`, `context: []` (required by schema). - Forward `input.data` as `forwardedProps` (already contains the merged body fields from `useChat({ body })`). Fixes 7 failing fetcher-mode tests across all chat providers. * refactor(e2e): narrow $feature.tsx route params via type predicates Route.useParams() returns provider/feature as raw strings. Previously the file used an `as { provider: Provider; feature: Feature }` cast on the destructure, which an earlier autofix removed — leaving TS to flag each downstream usage as TS2345. Replace with two small `isProvider` / `isFeature` type predicates over the existing ALL_PROVIDERS / ALL_FEATURES arrays. The existing "return <NotSupported />" guard now narrows the strings while still performing the runtime "is this a known provider/feature?" check. * ci: apply automated fixes * fix: address CodeRabbit review comments on PR #512 Closes 5 review items in one batch: - ChatFetcher return type now accepts Response/AsyncIterable directly (not just Promise<...>), so async generator fetchers work without `as unknown as ChatFetcher` casts. Drops 6 such casts from tests. - Rename DistributedOmit type parameters O/K → TObject/TKeys to satisfy the project's @typescript-eslint/naming-convention rule (2 CI lint errors). - StreamTruncatedError in readStreamLines no longer fires when the consumer aborts mid-line — user-initiated stop() is expected, not a truncation bug. - validateSearch in $feature.tsx whitelists mode against the allowed Mode union instead of casting arbitrary URL strings. - Fix rendered code snippet in server-fn-chat.tsx — the documented shape now matches the actual `chatFn({ data: { messages }, signal })` call. - Add a fetcher-specific e2e assertion: the route sends a sentinel `x-tanstack-ai-transport: fetcher` header, and chat.spec.ts waits for a request carrying it. Without this, a silent fallback to the connection adapter would still pass the response assertion. Verified: - pnpm test:lib: 26/26 - pnpm test:eslint: 26/26 - pnpm --filter @tanstack/ai-e2e test:e2e: 196/196
1 parent 3c6e616 commit ad23da9

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---
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'@tanstack/ai-client': minor
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'@tanstack/ai-react': minor
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'@tanstack/ai-preact': patch
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'@tanstack/ai-solid': patch
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'@tanstack/ai-svelte': patch
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'@tanstack/ai-vue': patch
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---
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Add a `fetcher` option to `ChatClient` and the framework chat hooks
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(`useChat` / `createChat`), mirroring the `fetcher` option on the
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generation hooks. Pass either `connection` or `fetcher` — the XOR is
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enforced at the type level via `ChatTransport`.
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```ts
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useChat({
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fetcher: ({ messages }, { signal }) => chatFn({ data: { messages }, signal }),
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})
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```
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The fetcher may return either a `Response` (parsed as SSE) or an
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`AsyncIterable<StreamChunk>` (yielded directly). `stream()`,
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`fetchServerSentEvents`, `fetchHttpStream`, and `rpcStream` are unchanged.

examples/ts-react-chat/src/components/Header.tsx

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Menu,
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Mic,
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Music,
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Server,
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Video,
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X,
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} from 'lucide-react'
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<Mic size={20} />
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<span className="font-medium">Voice Chat (Realtime)</span>
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</Link>
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<Link
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to="/server-fn-chat"
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onClick={() => setIsOpen(false)}
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className="flex items-center gap-3 p-3 rounded-lg hover:bg-gray-800 transition-colors mb-2"
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activeProps={{
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className:
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'flex items-center gap-3 p-3 rounded-lg bg-cyan-600 hover:bg-cyan-700 transition-colors mb-2',
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}}
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>
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<Server size={20} />
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<span className="font-medium">Server Function Chat</span>
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</Link>
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</nav>
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</aside>
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</>

examples/ts-react-chat/src/lib/server-fns.ts

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import { createServerFn } from '@tanstack/react-start'
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import { z } from 'zod'
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import {
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chat,
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generateAudio,
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generateImage,
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generateSpeech,
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summarize,
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toServerSentEventsResponse,
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} from '@tanstack/ai'
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import { openaiImage, openaiSummarize, openaiVideo } from '@tanstack/ai-openai'
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import {
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openaiImage,
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openaiSummarize,
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openaiText,
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openaiVideo,
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} from '@tanstack/ai-openai'
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import type { UIMessage } from '@tanstack/ai'
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import {
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InvalidModelOverrideError,
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UnknownProviderError,
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}),
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)
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})
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// =============================================================================
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// Chat server function — pairs with useChat({ fetcher })
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// =============================================================================
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export const chatFn = createServerFn({ method: 'POST' })
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.inputValidator(
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(data: { messages: Array<UIMessage>; data?: Record<string, any> }) => data,
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)
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.handler(({ data }) =>
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toServerSentEventsResponse(
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chat({
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adapter: openaiText('gpt-5.2'),
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messages: data.messages as any,
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systemPrompts: [
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'You are a helpful assistant. Keep replies short and friendly.',
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],
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}),
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),
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)

examples/ts-react-chat/src/routeTree.gen.ts

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// Additionally, you should also exclude this file from your linter and/or formatter to prevent it from being checked or modified.
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import { Route as rootRouteImport } from './routes/__root'
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import { Route as ServerFnChatRouteImport } from './routes/server-fn-chat'
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import { Route as RealtimeRouteImport } from './routes/realtime'
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import { Route as Issue176ToolResultRouteImport } from './routes/issue-176-tool-result'
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import { Route as ImageGenRouteImport } from './routes/image-gen'
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import { Route as ApiGenerateImageRouteImport } from './routes/api.generate.image'
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import { Route as ApiGenerateAudioRouteImport } from './routes/api.generate.audio'
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const ServerFnChatRoute = ServerFnChatRouteImport.update({
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id: '/server-fn-chat',
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path: '/server-fn-chat',
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getParentRoute: () => rootRouteImport,
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} as any)
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const RealtimeRoute = RealtimeRouteImport.update({
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id: '/realtime',
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path: '/realtime',
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'/image-gen': typeof ImageGenRoute
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'/issue-176-tool-result': typeof Issue176ToolResultRoute
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'/realtime': typeof RealtimeRoute
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'/server-fn-chat': typeof ServerFnChatRoute
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'/api/image-gen': typeof ApiImageGenRoute
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'/api/structured-chat': typeof ApiStructuredChatRoute
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'/api/structured-output': typeof ApiStructuredOutputRoute
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'/image-gen': typeof ImageGenRoute
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'/issue-176-tool-result': typeof Issue176ToolResultRoute
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'/realtime': typeof RealtimeRoute
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'/server-fn-chat': typeof ServerFnChatRoute
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'/api/image-gen': typeof ApiImageGenRoute
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'/api/structured-chat': typeof ApiStructuredChatRoute
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'/api/structured-output': typeof ApiStructuredOutputRoute
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'/image-gen': typeof ImageGenRoute
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'/issue-176-tool-result': typeof Issue176ToolResultRoute
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'/realtime': typeof RealtimeRoute
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'/server-fn-chat': typeof ServerFnChatRoute
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'/api/image-gen': typeof ApiImageGenRoute
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'/api/structured-chat': typeof ApiStructuredChatRoute
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'/api/structured-output': typeof ApiStructuredOutputRoute
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| '/image-gen'
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| '/issue-176-tool-result'
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| '/realtime'
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| '/server-fn-chat'
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| '/api/image-gen'
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| '/api/structured-chat'
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| '/api/structured-output'
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| '/image-gen'
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| '/issue-176-tool-result'
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| '/realtime'
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| '/server-fn-chat'
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| '/api/image-gen'
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| '/api/structured-chat'
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| '/api/structured-output'
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| '/image-gen'
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| '/issue-176-tool-result'
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| '/realtime'
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| '/server-fn-chat'
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| '/api/image-gen'
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| '/api/structured-chat'
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| '/api/structured-output'
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ImageGenRoute: typeof ImageGenRoute
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Issue176ToolResultRoute: typeof Issue176ToolResultRoute
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RealtimeRoute: typeof RealtimeRoute
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ServerFnChatRoute: typeof ServerFnChatRoute
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ApiImageGenRoute: typeof ApiImageGenRoute
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ApiStructuredChatRoute: typeof ApiStructuredChatRoute
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ApiStructuredOutputRoute: typeof ApiStructuredOutputRoute
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declare module '@tanstack/react-router' {
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interface FileRoutesByPath {
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'/server-fn-chat': {
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id: '/server-fn-chat'
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path: '/server-fn-chat'
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fullPath: '/server-fn-chat'
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preLoaderRoute: typeof ServerFnChatRouteImport
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parentRoute: typeof rootRouteImport
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}
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'/realtime': {
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id: '/realtime'
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path: '/realtime'
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ImageGenRoute: ImageGenRoute,
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Issue176ToolResultRoute: Issue176ToolResultRoute,
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RealtimeRoute: RealtimeRoute,
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ServerFnChatRoute: ServerFnChatRoute,
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ApiImageGenRoute: ApiImageGenRoute,
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ApiStructuredChatRoute: ApiStructuredChatRoute,
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ApiStructuredOutputRoute: ApiStructuredOutputRoute,
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import { useState } from 'react'
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import { createFileRoute } from '@tanstack/react-router'
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import { useChat } from '@tanstack/ai-react'
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import { Send, Square } from 'lucide-react'
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import { chatFn } from '@/lib/server-fns'
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export const Route = createFileRoute('/server-fn-chat')({
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component: ServerFnChat,
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})
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function ServerFnChat() {
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const { messages, sendMessage, isLoading, error, stop } = useChat({
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fetcher: ({ messages }, { signal }) =>
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chatFn({ data: { messages }, signal }),
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})
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const [input, setInput] = useState('')
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const handleSubmit = (e: React.FormEvent) => {
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e.preventDefault()
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if (!input.trim() || isLoading) return
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void sendMessage(input)
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setInput('')
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}
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return (
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<div className="flex flex-col h-[calc(100vh-72px)] bg-gray-950 text-gray-100">
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<div className="border-b border-gray-800 bg-gray-900/60 px-4 py-3">
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<h2 className="text-lg font-semibold">Chat via server function</h2>
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<p className="text-xs text-gray-400 mt-1">
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<code className="text-cyan-400">
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useChat(&#123; fetcher: ({'{'}messages{'}'}, {'{'}signal{'}'}) =&gt;
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chatFn({'{'} data: {'{'} messages {'}'}, signal {'}'}) &#125;)
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</code>{' '}
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— the server function returns an SSE{' '}
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<code className="text-cyan-400">Response</code>; the chat client
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parses it.
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</p>
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</div>
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<div className="flex-1 overflow-y-auto p-4 space-y-3">
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{messages.length === 0 && (
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<p className="text-gray-500 text-sm">
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Say something to start the chat.
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</p>
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)}
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{messages.map((m) => (
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<div
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key={m.id}
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className={`max-w-2xl rounded-lg px-3 py-2 ${
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m.role === 'user'
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? 'ml-auto bg-cyan-700/40 border border-cyan-600/40'
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: 'mr-auto bg-gray-800 border border-gray-700'
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}`}
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>
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{m.parts.map((part, i) =>
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part.type === 'text' ? <span key={i}>{part.content}</span> : null,
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)}
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</div>
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))}
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{error && (
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<div className="rounded-lg border border-red-700/60 bg-red-900/30 px-3 py-2 text-sm text-red-200">
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{error.message}
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</div>
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)}
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</div>
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<form
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onSubmit={handleSubmit}
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className="border-t border-gray-800 bg-gray-900/80 p-3 flex gap-2"
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>
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<input
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type="text"
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value={input}
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onChange={(e) => setInput(e.target.value)}
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placeholder="Message..."
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disabled={isLoading}
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className="flex-1 rounded-lg bg-gray-800 border border-gray-700 px-3 py-2 text-sm focus:outline-none focus:border-cyan-500"
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/>
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{isLoading ? (
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<button
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type="button"
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onClick={stop}
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className="px-3 py-2 rounded-lg bg-red-600 hover:bg-red-700 text-white"
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aria-label="Stop"
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>
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<Square size={18} />
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</button>
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) : (
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<button
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type="submit"
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disabled={!input.trim()}
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className="px-3 py-2 rounded-lg bg-cyan-600 hover:bg-cyan-700 disabled:opacity-50 text-white"
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aria-label="Send"
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>
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<Send size={18} />
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</button>
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)}
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</form>
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</div>
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)
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}

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