Skip to content

@dbx-tools/ui-mastra

React chat UI for the AppKit-Mastra plugin.

Add a complete chat surface for @dbx-tools/appkit-mastra, including streaming, model selection, Genie progress, charts, tables, approvals, history, threads, export, and MLflow feedback.

import { MastraChat } from "@dbx-tools/ui-mastra/react";
import "@dbx-tools/ui-mastra/styles.css";
export function Assistant() {
return <MastraChat showModelPicker enableExport />;
}

Key features:

  • Drop-in MastraChat component that discovers the plugin client config and wires itself to the default agent.
  • Reload recovery for background turns: active run metadata is persisted per agent and thread, the cached stream reconnects after a page reload, and the final persisted history is refreshed when recovery completes.
  • Headless useMastraChat() driver for apps that want the same transport logic with custom layout.
  • Persistent MastraAssistant application shell with a floating launcher, dock/overlay modes, every edge, optional resizing, external controls, and route-stable chat state.
  • Controlled ChatView for hosts that own messages, streaming, model state, and route calls themselves.
  • MastraPluginClient combines Mastra’s official AI SDK chat route, native memory APIs, and AppKit-Mastra model, suggestion, feedback, chart, and statement routes.
  • Tool-approval support for suspended Mastra requireApproval calls, including resumed-stream handling. An email-shaped input (the send_email tool) renders as a formatted To / Cc / Subject / Markdown-body preview rather than raw JSON.
  • Complete native tool input/results retained behind expandable, syntax-highlighted JSON Request and Response rows in each tool pill.
  • Typed per-turn application context through Mastra’s native RequestContext and server-side requestContextSchema.
  • Inline embed rendering for [chart:<id>] and [data:<id>] markers produced by the server plugin.
  • Conversation sidebar with new, select, rename, delete, active-thread, and background-streaming states, plus a per-row cancel for a running thread.
  • Placeable conversation UI: dock the list left or right, switch to an editor-style tab strip across the top, turn it off, or let auto pick between a side panel and tabs from the chat’s own width.
  • Concurrent threads: run several conversations at once, switch between them while each keeps streaming, and cancel any one independently (per-thread abort
    • routing, no shared client state).
  • Mid-turn steering queue: messages submitted while a turn streams stack up as pending steers (they drain oldest-first when the turn ends); each queued item can be sent now (interrupting the current turn), removed, or dragged to reorder the queue.
  • Export menu for PDF and Markdown, resolving charts and tables so exported conversations remain useful offline.

Use native @databricks/appkit-ui when you need its general primitives, Genie chat component, or Model Serving hooks directly against native AppKit plugins.

Use this package when the server is @dbx-tools/appkit-mastra and the UI needs to understand Mastra-specific behavior:

  • Mastra’s official AI SDK chat stream, native resource-scoped memory APIs, and the plugin’s model, suggestion, feedback, chart, and statement routes.
  • Suspended requireApproval tool calls resumed through native resumeData.
  • Genie writer events rendered as inline tool progress, not just a terminal answer.
  • [chart:<id>] and [data:<id>] assistant markers rendered as ECharts charts and sortable tables.
  • Concurrent multi-thread streaming, per-thread cancel, and a mid-turn steering queue (submit while running to enqueue; drain oldest-first, or send any item now to interrupt) - the native AppKit chat surface runs one turn at a time and has no steering.
  • Conversation export that resolves those embeds into Markdown or PDF.
@import "@databricks/appkit-ui/styles.css";
@import "@dbx-tools/ui-mastra/styles.css";

The stylesheet imports the shared @dbx-tools/ui foundation and registers this package’s React files with Tailwind. It does not define design tokens; the chat UI uses AppKit semantic tokens from the host app.

Mount MastraAssistant inside the app’s existing authentication gate and above the route outlet. Closing the panel hides its presentation without unmounting the chat driver, so drafts, threads, and active streams survive page navigation.

import { MastraAssistant, useMastraAssistant } from "@dbx-tools/ui-mastra/react";
const AskAboutStore = ({ storeId }: { storeId: string }) => {
const assistant = useMastraAssistant<{ storeId: string; route: string }>();
return (
<button onClick={() => assistant.open({ storeId, route: window.location.pathname })}>
Ask assistant
</button>
);
};
export function App() {
return (
<MastraAssistant
mode="overlay"
side="right"
resizable={{ defaultSize: 480, minSize: 360, storageKey: "assistant-size" }}
title="Workflow assistant"
launcher={{ position: "bottom-right", label: "Open assistant" }}
chat={{ showModelPicker: true, enableExport: true, threadPlacement: "top" }}
>
<RouterAndAuthenticatedApplication />
</MastraAssistant>
);
}

mode="dock" reflows the child application; mode="overlay" overlaps it. side accepts top, right, bottom, or left. Set resizable={false} to lock size, launcher={false} when every launch comes from useMastraAssistant(), header={false} to place New, History, and Close beside the conversation pills. With the header enabled those controls move into it and the conversation pills remain on their own second row. Replace icon, closeIcon, newConversationIcon, historyIcon, and launcher.icon. Below mobileBreakpoint the panel becomes a focus-contained modal overlay with Escape dismissal while the covered application is inert. A storageKey retains horizontal and vertical sizes independently.

This shell intentionally remains mounted instead of wrapping AppKit Sheet/Dialog/Resizable. Those overlays unmount their portal subtree when closed, and native resizable panels persist percentages rather than this component’s independent horizontal/vertical pixel sizes; either change would lose drafts, scroll state, active streams, or sizing parity.

import { MastraChat } from "@dbx-tools/ui-mastra/react";
export function App() {
return (
<MastraChat
agentId="analyst"
showModelPicker
threadPlacement="auto"
enableExport
className="h-dvh"
/>
);
}

MastraChat is the quickest client for the AppKit-Mastra plugin. It reads the plugin’s published client config, creates a MastraPluginClient, streams turns through Mastra’s official AI SDK chat route, hydrates native memory, and renders the controlled ChatView. When Mastra returns persisted messages without a precomputed uiMessages projection, history hydration uses Mastra’s native convertMessages(...).to("AIV5.UI") conversion.

Useful options:

  • agentId selects a registered agent; defaults to the plugin default agent.
  • showModelPicker fetches /models and sends X-Mastra-Model overrides.
  • composerActions places host-owned per-turn controls beside the model selector without replacing the built-in composer.
  • modelSelectorActions places host-owned controls inside the model menu after the endpoint choices. Supply it only when the active agent supports that option, such as a Genie transport toggle.
  • composerLeadingActions places attachment or app actions on the left side of the fixed composer footer. The textarea grows above it to a cap, then scrolls; model and Send/Stop stay pinned bottom-right.
  • suggestions overrides Genie starter questions; omit it to auto-fetch /suggestions, or pass [] to hide suggestions.
  • threadPlacement chooses where conversation management renders, or turns it off. See Place The Conversation List.
  • enableThreads: false is the older shorthand for threadPlacement: "disabled".
  • enableExport adds whole-conversation and per-message export affordances.
  • Feedback defaults to auto: thumbs, dislike, and comment controls appear when the server reports MLflow feedback is available and a turn produced a trace id. Set enableFeedback={false} to hide them. Viewers with CAN_MANAGE on the experiment also get an experiment debug link at the end of the action row.

Conversation management is on by default. Where it lives is one option:

<MastraChat threadPlacement="top" />
threadPlacement Layout
auto (default) left while the chat is wide, top once it is too narrow for a panel
left / right List docked to that edge, collapsing to an overlay drawer on a narrow chat
top Tab strip of open conversations, with a history menu for the rest
disabled No thread UI - the classic single-thread chat on the session cookie

The docked placements render the sidebar as an inline column with a persisted show/hide toggle. Below 768px of chat width the panel becomes an overlay drawer on the same edge, so the transcript never loses room; the drawer is session-scoped and starts closed, and closes itself after a selection.

The top placement is the editor-tab model: each open conversation is a tab with its title, a spinner while it streams in the background, and a close affordance that only takes the tab off the strip (the conversation stays in history). A + starts a fresh conversation and a history button opens the full list - the same sidebar, framed as a menu - so rename, delete, and cancel still work on anything not currently tabbed. Closing the active tab moves to a neighbouring one, or starts a fresh conversation when it was the last tab open. The open set is session state; the strip reseeds from the most recent conversations on the next load.

Selecting a conversation fetches only the newest 20 native memory messages. Scrolling upward requests the next page and prepends it without moving the reader’s viewport. Agent turns still send only the new user message; Mastra loads the remembered transcript server-side.

auto measures the chat’s own element rather than the viewport, so a chat embedded in a split view or side panel switches to tabs on the space it actually has instead of waiting for the window to shrink.

import { ChatView, useMastraChat } from "@dbx-tools/ui-mastra/react";
export function CustomChat() {
const chat = useMastraChat({
agentId: "analyst",
showModelPicker: true,
threadPlacement: "left",
});
return <ChatView {...chat} className="h-full" />;
}

Use useMastraChat() when the stock behavior is right but the surrounding layout belongs to your app. The hook owns streaming, aborts, history paging, thread selection, model overrides, suggestions, exports, approvals, and feedback state.

requestContext accepts a typed plain record, Mastra RequestContext<T>, or a per-turn resolver. The driver snapshots it when a message is submitted and keeps that snapshot with queued steers, regeneration, and approval continuation.

type StoreContext = { storeId: string; route: string };
const chat = useMastraChat<StoreContext>({
requestContext: () => ({
storeId: selectedStore.id,
route: location.pathname,
}),
});

On the server, declare the same contract with Mastra’s native requestContextSchema on createAgent<StoreContext>(). Application context cannot override the authenticated memory resource, thread, user, scopes, model, or trace fields stamped by AppKit-Mastra.

import { ChatView, type ChatViewProps } from "@dbx-tools/ui-mastra/react";
export function ReviewChat(props: ChatViewProps) {
return <ChatView {...props} className="h-[640px]" />;
}

ChatView is presentational. It renders the header, model picker, conversation sidebar, transcript, tool progress, approval cards, suggestions, export controls, feedback controls, and composer from props. Use it when your app already has a transport or needs to combine Mastra messages with another state model.

MastraChat shows a spinner in the model control while its live default model is being resolved. The picker groups endpoints into model-family submenus. Its compact first popup shows only the current model, host-owned actions such as Genie Agent Mode, and a reasoning slider when the selected endpoint supports it. The current model opens the family picker, so the long endpoint catalogue stays out of the primary control popup. Family and model menus use the same compact utility type as the composer actions, omit repeated headers, and omit the already-selected model. The model menu puts Default (<resolved model>) first, keeps Other last, and makes a one-model family directly selectable instead of opening another submenu.

import {
MastraPluginClient,
useMastraClient,
useMastraDefaultModel,
useMastraModels,
useMastraSuggestions,
useMastraThreads,
} from "@dbx-tools/ui-mastra/react";
const client = new MastraPluginClient(clientConfig);
// Routing (thread + model) is passed per call, so concurrent runs on
// different threads never share state.
const stream = await client.streamAgent({
agentId: client.defaultAgent,
messages: [
{
id: "user-1",
role: "user",
parts: [{ type: "text", text: "Hello" }],
},
],
runId,
threadId: activeThreadId,
model: "claude sonnet",
signal: controller.signal,
});
const models = await client.models();
const history = await client.history({ threadId: activeThreadId, page: 0, perPage: 20 });

Each conversation thread runs independently: start a turn on one thread, switch to another and start a second, and both stream concurrently. Cancel one via its AbortSignal (or the driver’s onCancelThread) without touching the others.

MastraPluginClient extends @mastra/client-js with the official AI SDK chatRoute transport and AppKit-Mastra additions. It uses credentials: "include" so session cookies travel with streaming and REST calls. The React hooks wrap native memory plus model catalogues, suggestions, chart fetches, and statement-data fetches.

The UI understands the extra events produced by @dbx-tools/appkit-mastra:

  • Approval chunks become inline approval cards and continue the official chat route with Mastra’s native { approved, reason? } resume data.
  • Native tool-call and tool-result payloads remain complete. Expanding a tool row reveals default-closed Request and Response viewers; large values scroll without string or collection truncation.
  • Genie thinking events stream into the assistant’s collapsed Thoughts panel. Intermediate answer attachments and query-result tables stay on tool progress, not in Thoughts. Other writer events remain attached to tool progress, including SQL, row counts, result summaries, and chart/data markers.
  • [chart:<id>] markers long-poll the chart cache and render ECharts inline.
  • [data:<id>] markers fetch statement rows and render a sortable table with column toggles and CSV export.
  • MLflow trace headers enable per-message feedback controls when the server reports feedback is available.

An ECharts chart draws to a canvas, so it inherits nothing from CSS the way its frame does: a dark theme re-skins the border around the chart while the axis labels, grid lines, and tooltip inside keep whatever colors the spec was born with. And the spec is born on the server, in @dbx-tools/appkit-mastra, which cannot know the reader’s theme.

So the two halves are split. The planner inlines only what is theme-independent - the brand’s series palette and font stack. Everything theme-dependent is resolved here at render time by src/support/chart-theme.ts, which reads AppKit’s --chart-axis-label, --chart-axis-title, --chart-grid, and --chart-tooltip-bg (plus --popover-foreground and --border for the tooltip) into a ChartChrome, and normalizeChartOption paints it onto the axes, title, legend, and tooltip. Nothing to configure: a chart follows the theme wherever it renders.

Two details worth knowing if you embed the chat:

  • Tokens are read off the chart’s own element, not :root, so a theme scoped to a subtree - a chat panel inside an otherwise-light app - wins. The value re-resolves when a .dark / .light class lands on the document root and when the OS prefers-color-scheme flips, so a live theme switch recolors charts in place.
  • AppKit darkens its tokens under @media (prefers-color-scheme: dark) for any :root that is not explicitly .light. If your host renders its own light chrome, pin .light (or .dark) on :root rather than leaving AppKit on the OS preference, or the chat will read as half-dark while everything around it stays light.

The PDF export is the one caller that does not follow the page: it pins LIGHT_CHART_CHROME, because its document forces color-scheme: light on a white body for printing.

<MastraChat enableExport />

Exports support Markdown downloads and PDF (rendered through a hidden print iframe, so the browser’s Save-as-PDF dialog opens with no popup tab). Chart and data markers are resolved during export: charts are rendered to inline SVG with ECharts’ server renderer, and data markers become real tables. Expired or missing embeds are skipped so old transcripts still export cleanly.

Copy and download affordances appear in several places - message bubbles, code blocks, conversation export, and the data-grid CSV button - and they behave the same everywhere because each is backed by one internal module rather than per-component code.

Copying works on hosts served over plain HTTP. An insecure context has no Clipboard API, so a bare navigator.clipboard.writeText silently does nothing on a local or intranet deployment; the shared helper falls back to a hidden <textarea> plus document.execCommand("copy") and reports whether the copy actually succeeded. Downloads revoke their object URL after the temporary anchor fires, so a long session does not accumulate blobs.

If you build a controlled surface with ChatView, you get both without wiring anything. Adding a new copy or download button anywhere in this package should reuse src/support/clipboard.ts and src/support/download.ts instead of touching navigator.clipboard or URL.createObjectURL again.

  • MastraChat - self-contained drop-in chat component.
  • MastraAssistant / useMastraAssistant - persistent application shell and external open/close/context controller.
  • useMastraChat - headless driver that returns ChatView props.
  • ChatView - controlled presentational chat shell.
  • MastraPluginClient - native @mastra/client-js memory/agent APIs plus AppKit-Mastra model, suggestion, feedback, and embed routes.
  • useMastraClient, useMastraConfig, useMastraModels, useMastraDefaultModel, useMastraSuggestions, useMastraThreads, useChartFetch, useStatementFetch - route/config hooks for controlled clients.
  • ThreadSidebar - controlled conversation list, dockable to either edge.
  • ThreadTabs / ThreadActions - conversation pills plus reusable New/History controls for the top strip or persistent assistant header.
  • ExportMenu - shared export format menu.
  • src/support/thread-tabs.ts - pure open-tab bookkeeping (syncThreadTabs, closeThreadTab, nextActiveThreadTab) so the strip’s state is testable without a DOM.
  • src/support/thread-labels.ts - threadTitle / relativeTime, shared by the sidebar and the tab strip so a row and a tab never disagree about how an untitled or freshly-updated conversation reads.
  • src/support/request-context.ts - immutable per-run snapshots around Mastra’s native typed RequestContext.
  • src/support/tool-events.ts - projection of native AI SDK persisted tool parts onto the live pill view model.
  • src/support/chart-theme.ts - ChartChrome, LIGHT_CHART_CHROME, resolveChartChrome, and the useChartChrome hook that keeps an inline chart’s colors in step with the active theme.
  • src/support/chart-option.ts - normalizeChartOption, the pure pass that patches layout (compact ticks, axis-name placement, title/grid spacing) and an optional ChartChrome into a planner spec, shared by the inline chart and the PDF export so both read the same.
  • Types - ChatViewProps, MastraChatProps, UseMastraChatOptions, MastraAssistantProps, MastraRequestContextInput, ThreadPlacement, ThreadSummary, ToolEvent, ToolProgress, PendingApproval, FeedbackSubmission, and related UI contract types.

Server-side routes and event production live in @dbx-tools/appkit-mastra. Browser-safe route, marker, feedback, and wire schemas live in @dbx-tools/shared-mastra.

Open the complete API reference