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Vue hooks for TanStack AI. ALWAYS use when writing code importing \"@tanstack/ai-vue\". Consult for debugging, best practices, or modifying @tanstack/ai-vue, tanstack/ai-vue, tanstack ai-vue, tanstack ai vue, ai.
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@tanstack/ai-vue@0.7.0Tags: latest: 0.7.0
References: Docs
This section documents version-specific API changes for @tanstack/ai-vue v0.6.1 (current v0.x series). This library is pre-1.0 — all v0.x releases are in scope.
BREAKING: Monolithic adapter factories removed — openai(), anthropic(), etc. replaced by activity-specific functions: openaiText('gpt-5.2'), openaiSummarize('gpt-5-mini'), openaiImage('dall-e-3'), etc. Model name is now passed to the adapter factory, not to chat(). source
BREAKING: model parameter removed from chat() — model is now embedded in the adapter argument (e.g., adapter: openaiText('gpt-5.2') instead of adapter: openai(), model: 'gpt-4'). Passing model at the call site is silently ignored. source
BREAKING: Nested options object flattened — chat({ options: { temperature, maxTokens, topP } }) must be changed to chat({ temperature, maxTokens, topP }). Nested options are silently discarded. source
BREAKING: providerOptions renamed to modelOptions — chat({ providerOptions: { ... } }) must be updated to chat({ modelOptions: { ... } }). Silently ignored if not updated. source
BREAKING: toResponseStream renamed to toServerSentEventsStream and now returns ReadableStream instead of Response — must manually create new Response(stream, { headers }). AbortController is now a separate parameter: toServerSentEventsStream(stream, abortController). source
BREAKING: embedding() function removed — embeddings support eliminated entirely. Use provider SDKs directly or vector DB native embedding APIs. source
BREAKING: chat({ as: 'promise' }) replaced by separate chatCompletion() function — as option removed from chat(). chat({ as: 'stream' }) is now just chat(). chat({ as: 'response' }) is now chat() + toServerSentEventsStream(). source
NEW: useChat returns status reactive ref — tracks lifecycle as 'ready' | 'submitted' | 'streaming' | 'error'. Previously there was no generation lifecycle state. source
NEW: sendMessage() accepts MultimodalContent object — sendMessage({ content: [{ type: 'text', content: '...' }, { type: 'image', source: { type: 'url', value: '...' } }] }) enables image/audio/video/document content alongside text. Added in v0.5.0. source
NEW: agentLoopStrategy parameter replaces bare maxIterations: number — use agentLoopStrategy: maxIterations(5), untilFinishReason(['stop']), or combineStrategies([...]). Old maxIterations number is converted automatically but deprecated. source
NEW: toolDefinition({ name, description, inputSchema, outputSchema?, needsApproval? }) — creates isomorphic tool definitions. Call .server(fn) for server-side execution or .client(fn) for client-side execution. Replaces ad-hoc tool objects. source
NEW: @tanstack/ai-client package — ChatClient class provides framework-agnostic headless chat state management with sendMessage(), reload(), stop(), clear(), addToolResult(), addToolApprovalResponse() methods. source
NEW: Connection adapter factories — fetchServerSentEvents(url, options?), fetchHttpStream(url, options?), stream(fn) from @tanstack/ai-client. Pass to useChat({ connection: fetchServerSentEvents('/api/chat') }) instead of url: '/api/chat'. source
NEW: extendAdapter(factory, customModels) + createModel(name, modalities) — adds custom/fine-tuned model names to existing adapter factories with full type inference. Avoids as const casts. source
Also changed: clientTools(...tools) NEW (typed tool array, discriminated union narrowing) · createChatClientOptions(options) NEW · InferChatMessages<T> NEW · toServerSentEventsResponse(stream, init?) NEW (returns Response) · toHttpStream(stream) NEW · toHttpResponse(stream) NEW · assertMessages({ adapter }, messages) NEW (type-level assertion) · ThinkingStreamChunk NEW (chunk type for model reasoning)
useChat returns DeepReadonly<ShallowRef<T>> refs — never reassign messages directly; use setMessages() for manual updates. Changing connection or body options recreates the underlying ChatClient, requiring a component remount or a key prop change to take effect
Use status (added v0.4.0) instead of isLoading for granular lifecycle control — status.value tracks 'ready' | 'submitted' | 'streaming' | 'error', enabling distinct UI states for submission vs. active streaming source
Pass client tool arrays through clientTools() instead of as const — eliminates the need for const assertion while enabling full discriminated union narrowing on part.name, part.input, and part.output in message iteration source
Wrap useChat options with createChatClientOptions() and derive message types using InferChatMessages<typeof chatOptions> — this propagates tool types through the entire message type, making part.name a literal union and part.input/part.output typed from Zod schemas source
Define tools with toolDefinition() in a shared file, then call .server() in route handlers and .client() in Vue components — passing the bare definition to chat() signals the client will execute it, while passing .server() output executes it server-side automatically source
name: tanstack-ai-vue-skilld description: "Vue hooks for TanStack AI. ALWAYS use when writing code importing \"@tanstack/ai-vue\". Consult for debugging, best practices, or modifying @tanstack/ai-vue, tanstack/ai-vue, tanstack ai-vue, tanstack ai vue, ai." metadata: version: 0.7.0 generated_at: 2026-04-25 references_synced_at: 2026-04-25
---
name: tanstack-ai-vue-skilld
description: "Vue hooks for TanStack AI. ALWAYS use when writing code importing \"@tanstack/ai-vue\". Consult for debugging, best practices, or modifying @tanstack/ai-vue, tanstack/ai-vue, tanstack ai-vue, tanstack ai vue, ai."
metadata:
version: 0.7.0
generated_at: 2026-04-25
references_synced_at: 2026-04-25
---
# TanStack/ai `@tanstack/ai-vue@0.7.0`
**Tags:** latest: 0.7.0
**References:** [Docs](./references/docs/_INDEX.md)
## API Changes
This section documents version-specific API changes for @tanstack/ai-vue v0.6.1 (current v0.x series). This library is pre-1.0 — all v0.x releases are in scope.
- BREAKING: Monolithic adapter factories removed — `openai()`, `anthropic()`, etc. replaced by activity-specific functions: `openaiText('gpt-5.2')`, `openaiSummarize('gpt-5-mini')`, `openaiImage('dall-e-3')`, etc. Model name is now passed to the adapter factory, not to `chat()`. [source](./references/docs/guides/migration.md:L21)
- BREAKING: `model` parameter removed from `chat()` — model is now embedded in the adapter argument (e.g., `adapter: openaiText('gpt-5.2')` instead of `adapter: openai(), model: 'gpt-4'`). Passing `model` at the call site is silently ignored. [source](./references/docs/guides/migration.md:L50)
- BREAKING: Nested `options` object flattened — `chat({ options: { temperature, maxTokens, topP } })` must be changed to `chat({ temperature, maxTokens, topP })`. Nested options are silently discarded. [source](./references/docs/guides/migration.md:L151)
- BREAKING: `providerOptions` renamed to `modelOptions` — `chat({ providerOptions: { ... } })` must be updated to `chat({ modelOptions: { ... } })`. Silently ignored if not updated. [source](./references/docs/guides/migration.md:L191)
- BREAKING: `toResponseStream` renamed to `toServerSentEventsStream` and now returns `ReadableStream` instead of `Response` — must manually create `new Response(stream, { headers })`. `AbortController` is now a separate parameter: `toServerSentEventsStream(stream, abortController)`. [source](./references/docs/guides/migration.md:L244)
- BREAKING: `embedding()` function removed — embeddings support eliminated entirely. Use provider SDKs directly or vector DB native embedding APIs. [source](./references/docs/guides/migration.md:L318)
- BREAKING: `chat({ as: 'promise' })` replaced by separate `chatCompletion()` function — `as` option removed from `chat()`. `chat({ as: 'stream' })` is now just `chat()`. `chat({ as: 'response' })` is now `chat()` + `toServerSentEventsStream()`. [source](./references/releases/CHANGELOG.md:L310)
- NEW: `useChat` returns `status` reactive ref — tracks lifecycle as `'ready' | 'submitted' | 'streaming' | 'error'`. Previously there was no generation lifecycle state. [source](./references/releases/@tanstack/ai-vue@0.4.0.md:L11)
- NEW: `sendMessage()` accepts `MultimodalContent` object — `sendMessage({ content: [{ type: 'text', content: '...' }, { type: 'image', source: { type: 'url', value: '...' } }] })` enables image/audio/video/document content alongside text. Added in v0.5.0. [source](./references/releases/@tanstack/ai-vue@0.5.0.md:L10)
- NEW: `agentLoopStrategy` parameter replaces bare `maxIterations: number` — use `agentLoopStrategy: maxIterations(5)`, `untilFinishReason(['stop'])`, or `combineStrategies([...])`. Old `maxIterations` number is converted automatically but deprecated. [source](./references/releases/CHANGELOG.md:L263)
- NEW: `toolDefinition({ name, description, inputSchema, outputSchema?, needsApproval? })` — creates isomorphic tool definitions. Call `.server(fn)` for server-side execution or `.client(fn)` for client-side execution. Replaces ad-hoc tool objects. [source](./references/docs/api/ai.md:L74)
- NEW: `@tanstack/ai-client` package — `ChatClient` class provides framework-agnostic headless chat state management with `sendMessage()`, `reload()`, `stop()`, `clear()`, `addToolResult()`, `addToolApprovalResponse()` methods. [source](./references/releases/CHANGELOG.md:L26)
- NEW: Connection adapter factories — `fetchServerSentEvents(url, options?)`, `fetchHttpStream(url, options?)`, `stream(fn)` from `@tanstack/ai-client`. Pass to `useChat({ connection: fetchServerSentEvents('/api/chat') })` instead of `url: '/api/chat'`. [source](./references/releases/CHANGELOG.md:L203)
- NEW: `extendAdapter(factory, customModels)` + `createModel(name, modalities)` — adds custom/fine-tuned model names to existing adapter factories with full type inference. Avoids `as const` casts. [source](./references/docs/reference/functions/extendAdapter.md:L1)
**Also changed:** `clientTools(...tools)` NEW (typed tool array, discriminated union narrowing) · `createChatClientOptions(options)` NEW · `InferChatMessages<T>` NEW · `toServerSentEventsResponse(stream, init?)` NEW (returns `Response`) · `toHttpStream(stream)` NEW · `toHttpResponse(stream)` NEW · `assertMessages({ adapter }, messages)` NEW (type-level assertion) · `ThinkingStreamChunk` NEW (chunk type for model reasoning)
## Best Practices
- `useChat` returns `DeepReadonly<ShallowRef<T>>` refs — never reassign `messages` directly; use `setMessages()` for manual updates. Changing `connection` or `body` options recreates the underlying `ChatClient`, requiring a component remount or a `key` prop change to take effect
- Use `status` (added v0.4.0) instead of `isLoading` for granular lifecycle control — `status.value` tracks `'ready' | 'submitted' | 'streaming' | 'error'`, enabling distinct UI states for submission vs. active streaming [source](./references/releases/@tanstack/ai-vue@0.4.0.md:L11)
- Pass client tool arrays through `clientTools()` instead of `as const` — eliminates the need for const assertion while enabling full discriminated union narrowing on `part.name`, `part.input`, and `part.output` in message iteration [source](./references/docs/api/ai-client.md#clienttoolstools)
- Wrap `useChat` options with `createChatClientOptions()` and derive message types using `InferChatMessages<typeof chatOptions>` — this propagates tool types through the entire message type, making `part.name` a literal union and `part.input`/`part.output` typed from Zod schemas [source](./references/docs/api/ai-client.md#createchatclientoptionsoptions)
- Define tools with `toolDefinition()` in a shared file, then call `.server()` in route handlers and `.client()` in Vue components — passing the bare definition to `chat()` signals the client will execute it, while passing `.server()` output executes it server-side automatically [source](./references/docs/guides/tools.md#isomorphic-tool-architecture)
- Use Zod schemas (v4.2+) over raw JSON Schema for `inputSchema`/`outputSchema` in `toolDefinition()` and `chat({ outputSchema })` — JSON Schema infers `any` for tool inputs/outputs and `unknown` for structured output return types, losing all downstream type safety [source](./references/docs/guides/tools.md#schema-options)
- Set `agentLoopStrategy: maxIterations(n)` explicitly when tools are present — the default is 5 iterations, which is too low for multi-step agentic workflows; use `untilFinishReason('stop')` to exit as soon as the model finishes without hitting the limit [source](./references/docs/api/ai.md#maxiterationscount)
- Subscribe to `aiEventClient` with `{ withEventTarget: true }` in production code — without this third argument the client only emits to the devtools event bus (absent in production builds); the flag also dispatches to the current `EventTarget` for application-level observability [source](./references/docs/guides/observability.md#client-events)
- Prefer `fetchServerSentEvents` over `fetchHttpStream` for client connections — SSE provides automatic reconnection; pass URL and options as functions (not static values) when headers like `Authorization` must be re-evaluated on every request [source](./references/docs/guides/connection-adapters.md#dynamic-values)
- Use `extendAdapter(baseFactory, [createModel('model-name', ['text', 'image'])])` to add TypeScript types for fine-tuned models or OpenAI-compatible proxies — this adds the model to the adapter's allowed type union with zero runtime overhead while preserving all original factory config parameters [source](./references/docs/guides/extend-adapter.md#basic-usage)
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"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"The skill is primarily a changelog/migration reference rather than a comprehensive usage guide, which may limit its utility for agents needing step-by-step examples.",
"No OpenAgentSkill engagement data yet",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Some discussion references are unanswered, but they are clearly marked and do not affect the core documentation.",
"Financial research output is not financial advice; require human review before any live investment decision."
],
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"recommended_action": "Test manually in an isolated workspace and compare against safer alternatives.",
"install_policy": "review",
"minimum_review_before_use": [
"Trust: 69/100 Manual review",
"Audit: 75/100 Needs review",
"Safety: 55/100 Review before install",
"Review repository, license, install command, and permission surface before production use."
],
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"install_command": "npx skills add skilld-dev/vue-ecosystem-skills --skill tanstack-ai-vue-skilld",
"risk_summary": "Needs review; Experimental; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
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"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
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"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
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"task_success": true,
"output_quality": 4,
"error_type": null,
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"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
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"api": "https://www.openagentskill.com/api/agent/skills/skilld-dev-tanstack-ai-vue-skilld",
"audit": "https://www.openagentskill.com/skills/skilld-dev-tanstack-ai-vue-skilld/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=skilld-dev-tanstack-ai-vue-skilld&task=Use%20tanstack-ai-vue-skilld%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20tanstack-ai-vue-skilld%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20tanstack-ai-vue-skilld%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/skilld-dev-tanstack-ai-vue-skilld/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/skilld-dev-tanstack-ai-vue-skilld"
}
}Listing source
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Use Zod schemas (v4.2+) over raw JSON Schema for inputSchema/outputSchema in toolDefinition() and chat({ outputSchema }) — JSON Schema infers any for tool inputs/outputs and unknown for structured output return types, losing all downstream type safety source
Set agentLoopStrategy: maxIterations(n) explicitly when tools are present — the default is 5 iterations, which is too low for multi-step agentic workflows; use untilFinishReason('stop') to exit as soon as the model finishes without hitting the limit source
Subscribe to aiEventClient with { withEventTarget: true } in production code — without this third argument the client only emits to the devtools event bus (absent in production builds); the flag also dispatches to the current EventTarget for application-level observability source
Prefer fetchServerSentEvents over fetchHttpStream for client connections — SSE provides automatic reconnection; pass URL and options as functions (not static values) when headers like Authorization must be re-evaluated on every request source
Use extendAdapter(baseFactory, [createModel('model-name', ['text', 'image'])]) to add TypeScript types for fine-tuned models or OpenAI-compatible proxies — this adds the model to the adapter's allowed type union with zero runtime overhead while preserving all original factory config parameters source
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Audit
75/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.