# Nextjs Chatbot

> Production Next.js web-chat integration: tool approval, persisted conversations, tool result UI,…

Production Next.js web-chat integration: tool approval, persisted conversations, tool result UI, grounded retrieval, follow-up suggestions and embedded widgets. Use when building or debugging a web chatbot that needs these features. Use ai-app for scaffolding and ai-sdk for general SDK APIs; multi-platform bots use Chat SDK.

- Page: https://ss33.ai/skills/laguagu/nextjs-chatbot-36888292585
- Publisher: laguagu
- Category: [AI & Agents](https://ss33.ai/skills/category/ai-and-agents-y6jz7i) › [Misc](https://ss33.ai/skills/category/ai-and-agents-y6jz7i/misc-ik6ov9)
- License: MIT
- Source: https://github.com/laguagu/claude-code-nextjs-skills/blob/665fbd7375b03e4c25e10f6214204309445593f7/skills/nextjs-chatbot/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/laguagu/nextjs-chatbot-36888292585

# Production Next.js chatbots

Use this skill for web-chat integration: persisted conversations, tool approval,
tool result UI and an embedded widget. Use `ai-app` for scaffolding,
`ai-sdk` to resolve the SDK version, and `ai-elements` for component contracts.
For multi-platform messaging, consult [Chat SDK](https://chat-sdk.dev/).

Keep the project's stack. Choose the model, reasoning setting, storage and
client state from the product's quality, latency and privacy requirements.
A chatbot does not inherently need PostgreSQL, Zustand, MCP servers or every
message action. When a new project has not decided, the defaults are Bun,
ai-elements on shadcn/ui, Drizzle + PostgreSQL for server-side history, and a
fast model with low or no reasoning effort, because chat latency is the product.

Read the installed `node_modules/ai/docs/04-ai-sdk-ui/` for persistence, tool
usage, errors and resume streams; use the package's types and `src/` when
shipped for exact contracts.
The linked ai-sdk.dev pages are the online fallback and describe the newest major.

## Integration contracts

- Match `ai`, `@ai-sdk/react` and provider versions before writing API calls.
  Use `ai-sdk-7` for v7 and `ai-sdk-6` for existing v6 projects; core callback
  renames do not imply renaming the separate `useChat.onFinish`.
- Authenticate conversation access, validate request data and authorize tools
  on the server. Client history, context, model IDs and consent flags are
  untrusted; prompts cannot enforce tenant isolation or permissions.
- Store validated UI messages with stable IDs when the full conversation UI
  must be restored. Convert model history through the installed SDK's helpers;
  keep required tool-call/result and provider reasoning relationships intact.
- Determine what happens on cancellation, disconnect, reload and retries.
  Consuming a stream after disconnect still depends on the hosting lifetime;
  durable execution needs a supported durable runtime.
- Log redacted diagnostics with a correlation ID. Return a safe public error
  for failed HTTP requests and in-stream failures; an error after headers have
  been sent cannot change the HTTP status. The UI stream masks ordinary errors
  by default; provider-executed tool errors can bypass `onError`, so check the
  tool error renderer too. A custom `onError` return value reaches the browser
  verbatim, and a non-2xx response reaches `useChat` `onError` with the raw
  response body as its message.
- Verify actual proxy streaming and buffering configuration. SDK UI-message
  responses already send `X-Accel-Buffering: no`; streams you build yourself
  (NDJSON/SSE progress) need it and `Cache-Control: no-store, no-transform`.
  The header helps supported nginx setups; it does not guarantee that every
  host streams without buffering.

## Chat surface

Keep the answer, relevant tool results and useful sources readable. Default
layout: user messages in a right-aligned `bg-muted` bubble, assistant messages
full width without a background, and the brand carried through to the
scrollbar. Add feedback, regenerate, delete or suggestions when the product
needs them; avoid a repeated “Answer” heading or an action toolbar on every
message by default. Use the `icons` skill for icon choice and `nextjs-shadcn`
for the surrounding interface.

Follow streamed output while the reader is at the bottom; preserve their place
when they scroll away or load earlier history. Use an existing compatible
scroll primitive when it fits; shadcn's
[Message Scroller](https://ui.shadcn.com/docs/react/message-scroller) is one option;
anchor on the user's message so the reply streams below it.
Render Markdown through the application's
renderer (ai-elements `MessageResponse` in the default stack)
and style it with shadcn Typeset by default (CSS only, see `nextjs-shadcn`);
verify nested lists, long links and code blocks.

Derive turn completion from `useChat` status (`submitted`/`streaming`) rather
than a momentary gap between tools. Stop or isolate the generation before
switching conversations. Browser storage must not make the first client render disagree
with server-rendered consent or history.

## Read for the feature

- [Tool approval](hitl.md): policy, replay security and UI transitions.
- [Persistence](persistence.md): IDs, history replay, feedback and resumption.
- [Tool rendering](tool-rendering.md): typed states and safe output.
- [Popup/embedding](popup-widget.md): focus, scrolling and host boundaries.
- [Retrieval](search.md): structured filters and evaluated search choices.
- [Suggestions](suggestions.md): optional, grounded next actions.
- [Web search](web-search.md): source scope, freshness and provider capability.
- [Verification](testing.md): UI transitions and model/retrieval evals.

Exercise a second turn after restoring history, approval and denial, tool
failure, cancellation, fast conversation switching and the deployed stream
path. Report the behaviors actually checked.