Add AI Elements-inspired chat primitives

This commit is contained in:
Matthias
2026-06-16 10:42:19 +02:00
parent 76b73ddb76
commit 28d0f4f852
5 changed files with 367 additions and 58 deletions

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---
id: TASK-10
title: Modernize savings chat agent UI with AI Elements phases
status: In Progress
assignee: []
created_date: '2026-06-16 08:38'
updated_date: '2026-06-16 08:41'
labels: []
dependencies: []
priority: high
ordinal: 10000
---
## Description
<!-- SECTION:DESCRIPTION:BEGIN -->
Implement the planned AI Elements-inspired savings chat agent UI in three sequential phases: conversation/message/prompt/tool trace primitives, reasoning/work-progress disclosure, and sources/citation support.
<!-- SECTION:DESCRIPTION:END -->
## Acceptance Criteria
<!-- AC:BEGIN -->
- [x] #1 Phase 1 replaces the basic chat surface with reusable conversation, message, prompt input, and tool trace UI primitives
- [ ] #2 Phase 2 adds a safe reasoning/work-progress disclosure derived from existing tool traces, without exposing hidden chain-of-thought
- [ ] #3 Phase 3 adds structured source/citation support through stored assistant metadata and visible UI affordances
- [ ] #4 Each phase is covered by failing-first tests, verified after implementation, and committed separately
<!-- AC:END -->
## Implementation Plan
<!-- SECTION:PLAN:BEGIN -->
1. Phase 1 TDD: add tested chat UI view-model helpers, reusable conversation/message/prompt/tool trace components, and integrate them into SavingsChatPage.
2. Commit Phase 1.
3. Phase 2 TDD: derive safe reasoning/work-progress summaries from tool traces and render them as collapsible disclosure.
4. Commit Phase 2.
5. Phase 3 TDD: extend chat message metadata with structured sources/citations, persist it through Convex history, and render sources/inline citations.
6. Commit Phase 3.
7. Run focused tests, lint, build, and record verification notes without closing the task until user confirmation.
<!-- SECTION:PLAN:END -->
## Implementation Notes
<!-- SECTION:NOTES:BEGIN -->
Phase 1 complete: added AgentChat primitives for conversation, message rendering, prompt input, and tool trace disclosure; integrated SavingsChatPage. Verification: npx vitest src/components/chat/AgentChat.test.tsx --run, npx eslint targeted chat/page files, npm run build (Vite chunk-size warning only).
<!-- SECTION:NOTES:END -->

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import { renderToStaticMarkup } from "react-dom/server";
import { describe, expect, test } from "vitest";
import {
AgentConversation,
AgentMessage,
AgentPromptInput,
type AgentChatMessage,
} from "./AgentChat";
import { getToolTraceSummary } from "./agentChatModel";
const assistantMessage: AgentChatMessage = {
id: "assistant-1",
role: "assistant",
content: "Deine groesste Ausgabe war Miete.",
toolTrace: [
{
name: "summarize_transactions",
inputSummary: "Mai 2026",
resultSummary: "12 Umsaetze zusammengefasst",
},
{
name: "list_transactions",
inputSummary: "Miete",
resultSummary: "1 Treffer",
},
],
};
describe("AgentChat phase 1 components", () => {
test("summarizes tool traces for compact agent transparency", () => {
expect(getToolTraceSummary(undefined)).toBe("Keine Werkzeuge");
expect(getToolTraceSummary([])).toBe("Keine Werkzeuge");
expect(getToolTraceSummary(assistantMessage.toolTrace)).toBe("2 Werkzeuge verwendet");
});
test("renders conversation messages with assistant tool trace details", () => {
const markup = renderToStaticMarkup(
<AgentConversation
messages={[
{ id: "user-1", role: "user", content: "Was war teuer?" },
assistantMessage,
]}
/>,
);
expect(markup).toContain("Was war teuer?");
expect(markup).toContain("Deine groesste Ausgabe war Miete.");
expect(markup).toContain("2 Werkzeuge verwendet");
expect(markup).toContain("summarize_transactions");
expect(markup).toContain("12 Umsaetze zusammengefasst");
});
test("renders the prompt input with ready and busy states", () => {
const readyMarkup = renderToStaticMarkup(
<AgentPromptInput
value="Bitte analysieren"
disabled={false}
isSubmitting={false}
placeholder="Welche Auswertung soll ich machen?"
onChange={() => undefined}
onSubmit={() => undefined}
/>,
);
const busyMarkup = renderToStaticMarkup(
<AgentPromptInput
value="Bitte analysieren"
disabled
isSubmitting
placeholder="Chat wird vorbereitet..."
onChange={() => undefined}
onSubmit={() => undefined}
/>,
);
expect(readyMarkup).toContain("Welche Auswertung soll ich machen?");
expect(readyMarkup).toContain("Senden");
expect(busyMarkup).toContain("Antwort laeuft");
expect(busyMarkup).toContain("disabled");
});
test("disables prompt submit for whitespace-only input", () => {
const markup = renderToStaticMarkup(
<AgentPromptInput
value=" "
disabled={false}
isSubmitting={false}
placeholder="Welche Auswertung soll ich machen?"
onChange={() => undefined}
onSubmit={() => undefined}
/>,
);
expect(markup).toContain("disabled");
});
test("renders a thinking indicator while the agent is submitting", () => {
const markup = renderToStaticMarkup(
<AgentConversation messages={[assistantMessage]} isSubmitting />,
);
expect(markup).toContain("Denk mit der KI nach...");
});
test("renders a single message without a tool section when no trace exists", () => {
const markup = renderToStaticMarkup(
<AgentMessage message={{ id: "assistant-empty", role: "assistant", content: "Hallo" }} />,
);
expect(markup).toContain("Assistant");
expect(markup).toContain("Hallo");
expect(markup).not.toContain("Werkzeuge verwendet");
});
});

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import {
type ChangeEvent,
type FormEvent,
type HTMLAttributes,
type ReactNode,
type Ref,
} from "react";
import { Loader2, Send, Wrench } from "lucide-react";
import { Button } from "@/components/ui/button";
import { cn } from "@/lib/utils";
import {
getToolTraceSummary,
type AgentChatMessage,
type AgentToolTrace,
} from "./agentChatModel";
export type { AgentChatMessage, AgentToolTrace } from "./agentChatModel";
type AgentConversationProps = HTMLAttributes<HTMLDivElement> & {
messages: AgentChatMessage[];
isSubmitting?: boolean;
scrollRef?: Ref<HTMLDivElement>;
};
type AgentMessageProps = HTMLAttributes<HTMLDivElement> & {
message: AgentChatMessage;
};
type AgentPromptInputProps = {
value: string;
placeholder: string;
disabled: boolean;
isSubmitting: boolean;
onChange: (value: string) => void;
onSubmit: (event: FormEvent<HTMLFormElement>) => void;
};
export function AgentConversation({
messages,
isSubmitting = false,
scrollRef,
className,
...props
}: AgentConversationProps) {
return (
<section
aria-label="Chatverlauf"
className={cn("h-[52vh] overflow-y-auto rounded-md border bg-background", className)}
ref={scrollRef}
{...props}
>
<div className="space-y-3 p-3">
{messages.map((message) => (
<AgentMessage key={message.id} message={message} />
))}
{isSubmitting && <AgentThinkingIndicator />}
</div>
</section>
);
}
export function AgentMessage({ message, className, ...props }: AgentMessageProps) {
const isUser = message.role === "user";
return (
<article
className={cn(
"flex w-full",
isUser ? "justify-end" : "justify-start",
className,
)}
{...props}
>
<div
className={cn(
"max-w-[min(100%,46rem)] rounded-lg border px-3 py-2 text-sm",
isUser ? "bg-muted/60" : "bg-card text-card-foreground",
)}
>
<p className="text-[0.7rem] font-medium uppercase text-muted-foreground">
{isUser ? "User" : "Assistant"}
</p>
<p className="mt-1 whitespace-pre-wrap leading-6">{message.content}</p>
{!isUser && message.toolTrace && message.toolTrace.length > 0 && (
<AgentToolTracePanel toolTrace={message.toolTrace} />
)}
</div>
</article>
);
}
function AgentToolTracePanel({ toolTrace }: { toolTrace: AgentToolTrace[] }) {
return (
<details className="mt-3 rounded-md border bg-muted/30 px-2 py-1.5">
<summary className="flex cursor-pointer list-none items-center gap-2 text-xs font-medium text-muted-foreground">
<Wrench className="h-3.5 w-3.5" />
{getToolTraceSummary(toolTrace)}
</summary>
<div className="mt-2 space-y-2">
{toolTrace.map((tool, toolIndex) => (
<div key={`${tool.name}-${toolIndex}`} className="rounded-md bg-background/80 p-2 text-xs">
<p className="font-medium text-foreground">{tool.name}</p>
<ToolTraceLine label="Eingabe" value={tool.inputSummary} />
<ToolTraceLine label="Ergebnis" value={tool.resultSummary} />
</div>
))}
</div>
</details>
);
}
function ToolTraceLine({ label, value }: { label: ReactNode; value: ReactNode }) {
return (
<p className="mt-1 text-muted-foreground">
<span className="font-medium text-foreground">{label}: </span>
{value}
</p>
);
}
function AgentThinkingIndicator() {
return (
<div className="flex items-center gap-2 px-1 text-sm text-muted-foreground">
<Loader2 className="h-4 w-4 animate-spin" />
Denk mit der KI nach...
</div>
);
}
export function AgentPromptInput({
value,
placeholder,
disabled,
isSubmitting,
onChange,
onSubmit,
}: AgentPromptInputProps) {
const submitDisabled = disabled || value.trim().length === 0;
const handleChange = (event: ChangeEvent<HTMLTextAreaElement>) => onChange(event.target.value);
return (
<form
className="rounded-lg border bg-card p-2 shadow-sm"
aria-label="Chatnachricht senden"
onSubmit={onSubmit}
>
<div className="flex items-end gap-2">
<textarea
className="min-h-11 flex-1 resize-none bg-transparent px-2 py-2 text-sm leading-6 outline-none placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-60"
value={value}
onChange={handleChange}
placeholder={placeholder}
disabled={disabled}
rows={1}
/>
<Button type="submit" disabled={submitDisabled} className="shrink-0">
{isSubmitting ? <Loader2 className="h-4 w-4 animate-spin" /> : <Send className="h-4 w-4" />}
{isSubmitting ? "Antwort laeuft" : "Senden"}
</Button>
</div>
</form>
);
}

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export type AgentToolTrace = {
name: string;
inputSummary: string;
resultSummary: string;
};
export type AgentChatMessage = {
id: string;
role: "user" | "assistant";
content: string;
toolTrace?: AgentToolTrace[];
};
export function getToolTraceSummary(toolTrace: AgentToolTrace[] | undefined) {
if (!toolTrace || toolTrace.length === 0) return "Keine Werkzeuge";
return `${toolTrace.length} ${toolTrace.length === 1 ? "Werkzeug" : "Werkzeuge"} verwendet`;
}

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@@ -1,14 +1,17 @@
import { type FormEvent, useEffect, useMemo, useRef, useState } from "react"; import { type FormEvent, useEffect, useMemo, useRef, useState } from "react";
import { useAction, useMutation, usePaginatedQuery, useQuery } from "convex/react"; import { useAction, useMutation, usePaginatedQuery, useQuery } from "convex/react";
import { MessageCircle, Send, Loader2 } from "lucide-react"; import { MessageCircle } from "lucide-react";
import { api } from "../../convex/_generated/api"; import { api } from "../../convex/_generated/api";
import type { Id } from "../../convex/_generated/dataModel"; import type { Id } from "../../convex/_generated/dataModel";
import { useAccountFilterId } from "@/components/layout/AccountFilter"; import { useAccountFilterId } from "@/components/layout/AccountFilter";
import { useFilters } from "@/context/FilterContext"; import { useFilters } from "@/context/FilterContext";
import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
import { Separator } from "@/components/ui/separator"; import { Separator } from "@/components/ui/separator";
import {
AgentConversation,
AgentPromptInput,
type AgentChatMessage,
} from "@/components/chat/AgentChat";
import { ChatHistory, type ChatHistoryItem } from "@/components/chat/ChatHistory"; import { ChatHistory, type ChatHistoryItem } from "@/components/chat/ChatHistory";
import { toast } from "sonner"; import { toast } from "sonner";
@@ -163,6 +166,18 @@ export function SavingsChatPage() {
[messagesQuery.results], [messagesQuery.results],
); );
const displayMessages = activeSessionId && messages.length > 0 ? messages : fallbackMessages; const displayMessages = activeSessionId && messages.length > 0 ? messages : fallbackMessages;
const agentMessages: AgentChatMessage[] = useMemo(
() =>
displayMessages.map((message) => ({
id: message._id,
role: message.role,
content: message.content,
...(message.role === "assistant" && message.toolTrace
? { toolTrace: message.toolTrace }
: {}),
})),
[displayMessages],
);
const context = useQuery(api.savingsChat.getContext, { const context = useQuery(api.savingsChat.getContext, {
from, from,
@@ -186,8 +201,6 @@ export function SavingsChatPage() {
? legacyImportResult.importedCount ? legacyImportResult.importedCount
: 0; : 0;
const buttonDisabled = isSubmitting || draft.trim().length === 0 || !activeSessionId;
const formatAmount = (amount: number) => const formatAmount = (amount: number) =>
new Intl.NumberFormat("de-DE", { new Intl.NumberFormat("de-DE", {
style: "currency", style: "currency",
@@ -353,60 +366,20 @@ export function SavingsChatPage() {
</CardContent> </CardContent>
</Card> </Card>
<Card> <AgentConversation
<CardContent className="p-4"> messages={agentMessages}
<div className="h-[52vh] overflow-y-auto" ref={listRef}> isSubmitting={isSubmitting}
<div className="space-y-3"> scrollRef={listRef}
{displayMessages.map((message) => ( />
<div
key={message._id}
className={`rounded-lg border p-3 ${
message.role === "user" ? "bg-muted/50" : "bg-background"
}`}
>
<p className="text-xs uppercase text-muted-foreground">{message.role}</p>
<p className="whitespace-pre-wrap text-sm">{message.content}</p>
{message.role === "assistant" && message.toolTrace && message.toolTrace.length > 0 && (
<div className="mt-3 rounded-md border bg-muted/30 p-2">
<p className="text-xs font-medium text-muted-foreground">
Verwendete Werkzeuge
</p>
<div className="mt-2 space-y-2">
{message.toolTrace.map((tool, toolIndex) => (
<div key={`${tool.name}-${toolIndex}`} className="text-xs">
<p className="font-medium">{tool.name}</p>
<p className="text-muted-foreground">{tool.resultSummary}</p>
</div>
))}
</div>
</div>
)}
</div>
))}
{isSubmitting && (
<div className="flex items-center gap-2 text-sm text-muted-foreground">
<Loader2 className="h-4 w-4 animate-spin" />
Denk mit der KI nach
</div>
)}
</div>
</div>
</CardContent>
</Card>
<form className="flex gap-2" onSubmit={submit}> <AgentPromptInput
<Input value={draft}
value={draft} onChange={setDraft}
onChange={(event) => setDraft(event.target.value)} onSubmit={submit}
placeholder={activeSession ? "Welche Auswertung soll ich machen?" : "Chat wird vorbereitet"} placeholder={activeSession ? "Welche Auswertung soll ich machen?" : "Chat wird vorbereitet..."}
disabled={isSubmitting || !activeSessionId} disabled={isSubmitting || !activeSessionId}
autoFocus isSubmitting={isSubmitting}
/> />
<Button type="submit" disabled={buttonDisabled}>
<Send className="h-4 w-4" />
Senden
</Button>
</form>
<Separator /> <Separator />
<p className="text-xs text-muted-foreground"> <p className="text-xs text-muted-foreground">