Vue AI Apps Workflow

Building the Vue/Nuxt front end for LLM and agent features with the Vercel AI SDK. This skill covers the Vue-specific integration; the model layer (streamText, tool, providers) is shown as shape only — follow the AI SDK docs for the current core API, which moves between minor versions.

Assumes the foundations in vue-best-practices (Composition API, <script setup lang="ts">, composables). Load that skill for component structure and reactivity.

Core Principles

• Keys never reach the client. The provider API key lives on the server. The browser talks to your endpoint, never to the model provider directly.
• Server streams, client consumes. A server route runs streamText/streamObject and returns a stream; the Vue component renders it incrementally. Never block on the full response.
• **Render message parts, not a content string.** AI SDK messages are UIMessage[] made of typed parts (text, tool calls, reasoning). Iterate message.parts.
• Drive UI from status, not a boolean. Disabled inputs, spinners, and the stop button key off the status state machine.

1) Confirm the stack (required)

• Packages: ai (core), @ai-sdk/vue (composables), a provider (@ai-sdk/openai, @ai-sdk/anthropic, …), zod for tool/object schemas.
• useChat from @ai-sdk/vue works against any streaming backend. The server snippets here use Nuxt/Nitro (defineEventHandler, readBody); for a non-Nuxt backend, keep the same AI SDK calls in your own route handler.
• This skill targets the v5+ API, verified against ai@7 / @ai-sdk/vue@4: messages have parts; the hook does not manage input; status is 'submitted' | 'streaming' | 'ready' | 'error'; tool schemas use inputSchema; useObject is exported as experimental_useObject. The pre-v5 API (ai@4: message.content, hook-managed input, isLoading, parameters) differs — check the installed version first.

2) Build the streaming chat UI (required for chat features)

• Reference: [streaming-chat-ui](references/streaming-chat-ui.md)
• Server route streams with streamText + toUIMessageStreamResponse().
• Client: useChat() returns Vue refs. Own your own input ref; call sendMessage({ text }). Render message.parts.

3) Add capabilities only when the feature needs them

• Tool calling (agent actions, function calling) → [tool-calling](references/tool-calling.md)
• Structured output (stream a typed object, not chat) → [structured-output](references/structured-output.md)

4) Handle abort and errors (required before shipping)

• Reference: [error-handling-and-abort](references/error-handling-and-abort.md)
• Wire stop(), the error ref, and onError. A streaming UI without an abort path is not done.

5) Final self-check

• Provider key is server-only; no key or provider call in client code.
• Component renders message.parts, not message.content.
• Input is disabled and a stop button shows while status is submitted/streaming.
• Errors are surfaced to the user and retryable (clearError() + regenerate()).
• Tool/object schemas validate input with zod.
• Core AI SDK calls were checked against the installed SDK version, not assumed.