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@dbx-tools/appkit-mastra-ui\n\nReact chat UI for Mastra agents mounted through\n[`@dbx-tools/appkit-mastra`](../appkit-mastra). Packaged the same way\n`@databricks/appkit-ui` ships its Genie components: a `./react` subpath\nfor the components and hooks, a `./styles.css` entry for the stylesheet,\nand brand-agnostic styling that themes itself from the host app's AppKit\nsemantic tokens.\n\n## Install\n\n```bash\nnpm install @dbx-tools/appkit-mastra-ui\n```\n\nPeer dependencies: `ai` (for the `UIMessage` type). React, React DOM, and\n`@databricks/appkit-ui` are provided transitively via\n[`@dbx-tools/appkit-ui`](../appkit-ui).\n\n## Styles\n\nImport the stylesheet once from your Tailwind entry, after Tailwind and\nyour AppKit-UI theme:\n\n```css\n@import \"tailwindcss\";\n@import \"@databricks/appkit-ui/styles.css\";\n@import \"@dbx-tools/appkit-mastra-ui/styles.css\";\n```\n\nThe stylesheet defines no core design tokens; the components style with\nAppKit semantic tokens (`--background`, `--primary`, `--success`,\n`--destructive`, `--warning`, ...) and inherit the host theme. Shared\nStreamdown / shiki styling comes from `@dbx-tools/appkit-ui`.\n\n## Drop-in: `MastraChat`\n\nThe headline component. Mount it anywhere under the Mastra plugin and it\nwires itself from the plugin's published client config (mount paths,\ndefault agent). It drives the conversation directly over\n`@mastra/client-js`, so it gets streaming, inline tool-session pills,\napproval gating, a stop control, and history pagination out of the box.\n\n```tsx\nimport { MastraChat } from \"@dbx-tools/appkit-mastra-ui/react\";\n\nexport default function ChatPage() {\n  return <MastraChat />;\n}\n```\n\nThe model picker is **off by default** (the catalogue isn't even\nfetched). Opt in with `showModelPicker` to let the user override the\nserving endpoint per turn:\n\n```tsx\n<MastraChat showModelPicker />\n```\n\n### Conversation management\n\nConversation (thread) management is **on by default**. `MastraChat`\nrenders a sidebar listing the threads the signed-in user owns for this\nagent, lets them switch between conversations, start a new one, rename\none (inline text field on hover; commit on Enter / blur, cancel on\nEscape), and delete one - and persists the active thread id in\n`localStorage` so a reload reopens the same conversation. A brand-new\nconversation's row is titled from its first question instantly (a\ntruncated preview), so it never lingers as \"New conversation\" while the\nserver catches up. Each thread is then auto-titled from its opening turn\non the small / fast model tier (the plugin's `summarize` helper, not the\nagent's primary model), so the list reads like a chat history rather than\na list of ids without spending the heavyweight model; that auto-title\nsupersedes the first-message preview, and a manual rename overrides\nboth.\n\nA header toggle shows/hides the sidebar so the conversation view is\neasily turned on and off in the UI; that show/hide choice is also\npersisted to `localStorage`, so the chat reopens the way the user left\nit. The feature stays active when the panel is hidden (threads keep\ntracking) - the toggle only reclaims the width.\n\nUnder the hood the client picks a thread id (from the `/route/threads`\nlisting, or a freshly minted one for a new chat) and stamps it on every\ncall via the thread-selection header, so streaming, history, and clear\nall target the selected conversation. The server scopes the listing to\nthe caller's resource, so a user only ever sees their own threads.\n\nTurn the whole feature off for a classic single-thread chat (anchored to\nthe per-session cookie, no sidebar) with `enableThreads={false}`:\n\n```tsx\n<MastraChat enableThreads={false} />\n```\n\n### Export\n\nChat export is **opt-in** (off by default). Turn it on with\n`enableExport`:\n\n```tsx\n<MastraChat enableExport />\n```\n\nWith it on, an **Export** menu appears in the header (whole conversation)\nand a per-message export menu appears on each assistant bubble. Both\noffer two formats:\n\n- **PDF** - opens a print-ready document in a new tab and triggers the\n  browser's print dialog, so the user saves a real PDF (\"Save as PDF\").\n  If a popup blocker stops the tab, the document is downloaded as an HTML\n  file instead.\n- **Markdown** - downloads a `.md` file.\n\nExports are **self-contained and include charts**: each `[chart:<id>]`\nmarker is resolved against the plugin's chart cache and rendered to an\ninline SVG via Echarts' server-side renderer (so it renders offline with\nno runtime), and `[data:<id>]` markers resolve to real tables (GFM tables\nin Markdown). Expired / unknown embeds are skipped.\n\nHuman turns are labelled with the signed-in identity (e.g.\n`User (someone@example.com)`), derived from the resource id the thread\nlist carries. The PDF is tuned for clean print output: messages and long\ntables flow across page boundaries (tables repeat their header) instead\nof being pushed whole onto a new page, and the browser's print\nheader/footer (the `about:blank` URL, date, and page numbers) is\nsuppressed.\n\nThe headless driver exposes `onExportConversation(format)` and\n`onExportMessage(message, format)` on the `useMastraChat` prop bag when\n`enableExport` is set; the underlying `exportChat(...)` helper and the\n`ExportMenu` component are exported for custom wiring.\n\n### Feedback (MLflow)\n\nWhen the plugin has MLflow feedback enabled (see\n[`@dbx-tools/appkit-mastra`](../appkit-mastra) - it publishes\n`clientConfig().feedbackEnabled`), each assistant bubble gets thumbs\nup / down controls and a comment popover. A rating / comment is logged\nas a HUMAN assessment on that turn's MLflow trace, attributed to the\nsigned-in user.\n\nFeedback **defaults to `enableExport`'s value** (rating a turn pairs\nnaturally with exporting it) and can be forced independently with\n`enableFeedback`:\n\n```tsx\n<MastraChat enableFeedback />          {/* force on */}\n<MastraChat enableExport enableFeedback={false} />  {/* export, no feedback */}\n```\n\nThe controls only render for a turn once the client has captured that\nturn's `tr-<hex>` trace id from the stream response, and only when the\nserver reports `feedbackEnabled` - so they degrade to nothing when\ntracing is off. The headless driver exposes `feedbackByMessage` and\n`onFeedback(message, submission)` on the `useMastraChat` prop bag when\nfeedback is available; `MastraPluginClient.feedback(...)` is the\nunderlying call.\n\n### Starter suggestions\n\nThe empty state carries **no built-in example prompts**. When the agent\nhas a Genie space wired up, `MastraChat` auto-fills the starter\nquestions from that space's curated `sample_questions` (fetched from the\nplugin's `/suggestions` endpoint); when it has no Genie space, the empty\nstate stays bare. Pass an explicit `suggestions` list to override that\nlookup, or `[]` to force none:\n\n```tsx\n<MastraChat suggestions={[\"What were last quarter's top stores?\"]} />\n```\n\n## Headless: `useMastraChat` + `ChatView`\n\n`useMastraChat` is the headless driver behind `MastraChat`: it owns the\nfull conversation lifecycle (streaming over `@mastra/client-js`,\ntool-event tracking, approvals, model selection, clear, and\ninfinite-scroll-up history) and returns the exact prop bag the\npresentational `ChatView` consumes. Use it when you want the drop-in\nbehaviour but need to render the shell yourself:\n\n```tsx\nimport { ChatView, useMastraChat } from \"@dbx-tools/appkit-mastra-ui/react\";\n\nfunction Chat() {\n  const chat = useMastraChat({ showModelPicker: true });\n  return <ChatView {...chat} className=\"h-full\" />;\n}\n```\n\nFor lower-level access, `useMastraClient()` returns a\n`MastraPluginClient` (a `@mastra/client-js` `MastraClient` subclass)\nthat streams turns via `getAgent(id).stream()` and adds `history()` /\n`clearHistory()`, `threads()` / `removeThread()` / `renameThread()` /\n`setThreadId()`,\n`models()`, `suggestions()`, `feedback()`, and `chart()` /\n`statement()` over the plugin's own routes. `useMastraModels()`,\n`useMastraSuggestions()`, and `useMastraThreads()` are thin hooks over\nthe catalogue, Genie starter questions, and the conversation list.\n\n`ChatView` itself shows no suggestions unless you pass them (it has no\nbuilt-in defaults); `useMastraSuggestions()` resolves the agent's Genie\nspace starter questions, or an empty list when none are configured.\n\n## Features\n\n- Streaming markdown with GFM, KaTeX, and Mermaid (via Streamdown).\n- Syntax-highlighted, copyable SQL blocks (shiki).\n- Interactive result tables (sort, column show/hide, CSV export).\n- Inline chart and data embed slots resolved from `[chart:<id>]` /\n  `[data:<id>]` markers in the model's prose.\n- Consolidated tool-session pills with per-call Genie progress detail.\n- Suggested follow-up question pills.\n- Starter-question prompts on the empty state, auto-sourced from the\n  agent's Genie space `sample_questions` (or a caller-supplied list);\n  nothing shown when neither is available.\n- Inline approval cards for `requireApproval` tools.\n- Stop button to abort an in-flight response (Send is disabled while\n  streaming; `ChatView` takes an `onStop` callback).\n- Destructive error Alert with a Retry action when a turn fails\n  (`ChatView` takes an `error` prop; the drop-in surfaces it itself).\n- Optional model picker (`showModelPicker`, off by default).\n- Infinite-scroll-up thread history.\n- Built-in conversation management (on by default): a sidebar of the\n  user's auto-titled threads (titled on the small / fast model tier) with\n  select / new / delete, persisted across reloads, plus a persisted\n  show/hide toggle; opt out with `enableThreads={false}`.\n- Chat export (opt-in via `enableExport`): whole-conversation and\n  per-message export to PDF (browser print) or Markdown, with charts\n  (inline SVG) and data tables inlined so the export is self-contained.\n- Per-turn MLflow feedback (thumbs + comment) when the plugin enables it;\n  defaults to `enableExport`, overridable with `enableFeedback`.\n","readmeFilename":"README.md"}