Merge pull request 'Батч: бейдж контекста (#189) + e2e в CI (#187) + inline-тест MCP (#170)' (#197) from batch/issues-189-187-170 into develop

Reviewed-on: #197
This commit was merged in pull request #197.
This commit is contained in:
2026-06-26 18:09:47 +03:00
23 changed files with 837 additions and 408 deletions
@@ -45,6 +45,7 @@ import {
shouldCollapseOnOutsidePointer,
isHeaderClick,
} from "@/features/ai-chat/utils/collapse-helpers.ts";
import { selectContextBadge } from "@/features/ai-chat/utils/context-badge.ts";
import { useClipboard } from "@/hooks/use-clipboard";
import { notifications } from "@mantine/notifications";
import classes from "@/features/ai-chat/components/ai-chat-window.module.css";
@@ -161,12 +162,6 @@ export default function AiChatWindow() {
const { data: messageRows, isLoading: messagesLoading } =
useAiChatMessagesQuery(activeChatId ?? undefined);
// Live turn-token total (reasoning + output) for the in-flight turn, pushed up
// (THROTTLED to ~8 Hz inside ChatThread) so the header badge ticks mid-stream.
// `null` means no turn is in flight -> the badge falls back to the persisted
// context size below.
const [liveTurnTokens, setLiveTurnTokens] = useState<number | null>(null);
// The page the user is currently viewing. AiChatWindow lives in a pathless
// parent layout route, so useParams() can't see :pageSlug. Match the full
// pathname against the authenticated page route instead so "the current page"
@@ -301,24 +296,19 @@ export default function AiChatWindow() {
// shipped; older rows fall back to that turn's `usage` total. NOTE: reflects
// PERSISTED rows (updates on chat open/switch); it does not tick live
// mid-stream — acceptable for v1.
const contextTokens = useMemo(() => {
if (!activeChatId || !messageRows) return 0;
for (let i = messageRows.length - 1; i >= 0; i--) {
const meta = messageRows[i].metadata;
if (!meta) continue;
if (typeof meta.contextTokens === "number" && meta.contextTokens > 0) {
return meta.contextTokens;
}
const usage = meta.usage;
if (usage) {
const fallback =
usage.totalTokens ??
(usage.inputTokens ?? 0) + (usage.outputTokens ?? 0);
if (fallback > 0) return fallback;
}
}
return 0;
}, [activeChatId, messageRows]);
//
// The denominator `maxContextTokens` (the model's configured max window) is
// derived in the SAME backward scan: it is stamped alongside `contextTokens`
// on a completed turn, but the numerator and denominator are taken from the
// most recent row carrying EACH value independently — they may land on
// different rows (e.g. a fresh error row can carry contextTokens but not
// maxContextTokens), so we keep scanning for whichever is still unset. 0 when
// no row has it (older rows, or no admin-configured limit) — the badge then
// shows just the current size with no denominator.
const { contextTokens, maxContextTokens } = useMemo(
() => selectContextBadge(activeChatId ? messageRows : undefined),
[activeChatId, messageRows],
);
// On (re)open, settle the geometry before paint (useLayoutEffect → no
// first-frame jump): compute an initial top-right placement the first time,
@@ -509,20 +499,17 @@ export default function AiChatWindow() {
)}
<div style={{ flex: 1, display: "flex", justifyContent: "center" }}>
{/* While a turn streams, show the LIVE turn-token count (ticks ~8 Hz);
once it finishes, fall back to the persisted context size. Require
> 0 so the very first emit (an empty tail message, count 0) does not
flash a "0" badge before any token streams in (#151 review). */}
{liveTurnTokens !== null && liveTurnTokens > 0 ? (
<Tooltip label={t("Tokens generated this turn")} withArrow>
<span className={classes.badge}>
{formatTokens(liveTurnTokens)}
</span>
</Tooltip>
) : contextTokens > 0 ? (
<Tooltip label={t("Current context size")} withArrow>
{/* Always show the persisted "current / max" context. The denominator
(the admin-configured model limit) is appended only when known;
not clamped when current > max (shown as-is, e.g. "210k / 200k").
Hidden entirely until a turn has recorded a context figure. */}
{contextTokens > 0 ? (
<Tooltip label={t("Context size / model limit")} withArrow>
<span className={classes.badge}>
{formatTokens(contextTokens)}
{maxContextTokens > 0
? ` / ${formatTokens(maxContextTokens)}`
: ""}
</span>
</Tooltip>
) : null}
@@ -649,7 +636,6 @@ export default function AiChatWindow() {
assistantName={currentRole?.name}
onTurnFinished={onTurnFinished}
onServerChatId={onServerChatId}
onLiveTurnTokens={setLiveTurnTokens}
/>
)}
</div>
@@ -20,7 +20,6 @@ import {
} from "@/features/ai-chat/utils/role-launch.ts";
import { describeChatError } from "@/features/ai-chat/utils/error-message.ts";
import { extractServerChatId } from "@/features/ai-chat/utils/adopt-chat-id.ts";
import { liveTurnTokens } from "@/features/ai-chat/utils/count-stream-tokens.ts";
import {
dequeue,
enqueueMessage,
@@ -82,12 +81,6 @@ interface ChatThreadProps {
* Copy/export button available mid-stream). Distinct from onTurnFinished,
* which fires only at the terminal outcome. */
onServerChatId?: (serverChatId?: string) => void;
/** Reports the live turn-token total (reasoning + output) for the in-flight
* turn so the parent can show a header badge that ticks mid-stream. THROTTLED
* here (~8 Hz) so the parent re-renders a handful of times a second, not on
* every streamed delta. Called with `null` when no turn is in flight (the
* parent then reverts the badge to the persisted context size). */
onLiveTurnTokens?: (tokens: number | null) => void;
}
/**
@@ -133,7 +126,6 @@ export default function ChatThread({
assistantName,
onTurnFinished,
onServerChatId,
onLiveTurnTokens,
}: ChatThreadProps) {
const { t } = useTranslation();
@@ -348,53 +340,6 @@ export default function ChatThread({
// the SAME on-screen banner text can be mirrored into the export (issue #160).
const errorView = error ? describeChatError(error.message ?? "", t) : null;
// Report the live turn-token total to the parent header badge, THROTTLED to
// ~8 Hz so the parent re-renders a few times a second instead of on every
// streamed delta. The tail assistant message's reasoning+output (estimate while
// streaming, authoritative once a step reports usage) is the live figure. When
// the turn ends we emit a final exact value, then `null` so the parent reverts
// the badge to the persisted context size.
const lastEmitRef = useRef(0);
const emitTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null);
useEffect(() => {
if (!onLiveTurnTokens) return;
if (!isStreaming) {
// Turn ended (or never started): clear any pending throttle and revert.
if (emitTimerRef.current) {
clearTimeout(emitTimerRef.current);
emitTimerRef.current = null;
}
lastEmitRef.current = 0;
onLiveTurnTokens(null);
return;
}
const tail = messages[messages.length - 1];
const live = tail?.role === "assistant" ? liveTurnTokens(tail) : null;
const total = live ? live.reasoning + live.output : 0;
const now = Date.now();
const MIN_INTERVAL = 120; // ms (~8 Hz)
const elapsed = now - lastEmitRef.current;
if (elapsed >= MIN_INTERVAL) {
lastEmitRef.current = now;
onLiveTurnTokens(total);
} else if (!emitTimerRef.current) {
// Schedule a trailing emit so the FINAL value of a burst is not dropped.
emitTimerRef.current = setTimeout(() => {
emitTimerRef.current = null;
lastEmitRef.current = Date.now();
onLiveTurnTokens(total);
}, MIN_INTERVAL - elapsed);
}
}, [messages, isStreaming, onLiveTurnTokens]);
// Clear any pending throttle timer on unmount (chat switch via `key`) so a
// trailing emit can't fire into a torn-down thread's parent.
useEffect(() => {
return () => {
if (emitTimerRef.current) clearTimeout(emitTimerRef.current);
};
}, []);
// A role was picked with autoStart=false: the role is bound but NOTHING was
// sent, so chatId stays null and the empty state would keep showing the cards.
// This flag hides the cards and reveals the composer (with the role indicated)
@@ -116,6 +116,9 @@ export interface IAiChatMessageRow {
// turn. Distinct from `usage` (legacy cumulative totalUsage). Shown in the
// floating window's header badge.
contextTokens?: number;
// The model's max context window (denominator for the header badge); set
// alongside contextTokens on a completed turn; absent on older rows.
maxContextTokens?: number;
// Set on an assistant row whose turn ended in a provider/stream error; the
// raw provider error text (e.g. "402: ...") for inline display in the thread.
error?: string;
@@ -0,0 +1,90 @@
import { describe, expect, it } from "vitest";
import type { IAiChatMessageRow } from "@/features/ai-chat/types/ai-chat.types.ts";
import { selectContextBadge } from "@/features/ai-chat/utils/context-badge.ts";
/**
* Pure-helper tests for the header context badge selection. Covers the two
* non-obvious rules: numerator and denominator are each taken from the most
* recent row carrying THAT value (they may live on different rows), and a fresh
* row with a zero/absent value must NOT shadow an older positive one.
*/
const row = (metadata: IAiChatMessageRow["metadata"]): IAiChatMessageRow => ({
id: Math.random().toString(),
role: "assistant",
content: null,
metadata,
createdAt: "2026-01-01T00:00:00.000Z",
});
describe("selectContextBadge", () => {
it("returns zeros for empty / nullish input", () => {
expect(selectContextBadge(undefined)).toEqual({
contextTokens: 0,
maxContextTokens: 0,
});
expect(selectContextBadge(null)).toEqual({
contextTokens: 0,
maxContextTokens: 0,
});
expect(selectContextBadge([])).toEqual({
contextTokens: 0,
maxContextTokens: 0,
});
});
it("reads both figures from the most recent row that carries them", () => {
expect(
selectContextBadge([
row({ contextTokens: 100, maxContextTokens: 200000 }),
row({ contextTokens: 1500, maxContextTokens: 200000 }),
]),
).toEqual({ contextTokens: 1500, maxContextTokens: 200000 });
});
it("falls back to legacy usage total for older rows without contextTokens", () => {
expect(
selectContextBadge([
row({ usage: { inputTokens: 30, outputTokens: 70 } }),
]),
).toEqual({ contextTokens: 100, maxContextTokens: 0 });
expect(
selectContextBadge([row({ usage: { totalTokens: 250 } })]),
).toEqual({ contextTokens: 250, maxContextTokens: 0 });
});
it("takes numerator and denominator from different rows", () => {
// Freshest row (an error turn) carries contextTokens but no max; the older
// completed turn carries the max. Each is picked from its own latest row.
expect(
selectContextBadge([
row({ contextTokens: 800, maxContextTokens: 200000 }),
row({ contextTokens: 1200, error: "402: nope" }),
]),
).toEqual({ contextTokens: 1200, maxContextTokens: 200000 });
});
it("does not let a fresh zero/absent max shadow an older positive max", () => {
expect(
selectContextBadge([
row({ contextTokens: 100, maxContextTokens: 200000 }),
row({ contextTokens: 1200, maxContextTokens: 0 }),
]),
).toEqual({ contextTokens: 1200, maxContextTokens: 200000 });
});
it("skips rows with null metadata", () => {
expect(
selectContextBadge([
row({ contextTokens: 500, maxContextTokens: 200000 }),
row(null),
]),
).toEqual({ contextTokens: 500, maxContextTokens: 200000 });
});
it("reports current > max as-is (no clamp)", () => {
expect(
selectContextBadge([row({ contextTokens: 250000, maxContextTokens: 200000 })]),
).toEqual({ contextTokens: 250000, maxContextTokens: 200000 });
});
});
@@ -0,0 +1,49 @@
import type { IAiChatMessageRow } from "@/features/ai-chat/types/ai-chat.types.ts";
/**
* Derive the header context badge figures from the persisted message rows.
*
* - `contextTokens` (numerator): how much the conversation now occupies in the
* model's context window. Read from the most recent row carrying a context
* figure — `contextTokens` (final-step input+output) on rows recorded after
* this shipped, else that turn's legacy `usage` total for older rows.
* - `maxContextTokens` (denominator): the model's configured max window, stamped
* alongside `contextTokens` on a completed turn.
*
* Each value is taken from the most recent row carrying THAT value
* independently — they may land on different rows (e.g. a fresh error row can
* carry `contextTokens` but not `maxContextTokens`), so the scan continues for
* whichever is still unset. `0` means "no row has it" (older rows, or no
* admin-configured limit); the badge then omits the value.
*/
export function selectContextBadge(
messageRows: readonly IAiChatMessageRow[] | undefined | null,
): { contextTokens: number; maxContextTokens: number } {
let contextTokens = 0;
let maxContextTokens = 0;
if (!messageRows) return { contextTokens, maxContextTokens };
for (let i = messageRows.length - 1; i >= 0; i--) {
const meta = messageRows[i].metadata;
if (!meta) continue;
if (contextTokens === 0) {
if (typeof meta.contextTokens === "number" && meta.contextTokens > 0) {
contextTokens = meta.contextTokens;
} else if (meta.usage) {
const usage = meta.usage;
const fallback =
usage.totalTokens ??
(usage.inputTokens ?? 0) + (usage.outputTokens ?? 0);
if (fallback > 0) contextTokens = fallback;
}
}
if (
maxContextTokens === 0 &&
typeof meta.maxContextTokens === "number" &&
meta.maxContextTokens > 0
) {
maxContextTokens = meta.maxContextTokens;
}
if (contextTokens !== 0 && maxContextTokens !== 0) break;
}
return { contextTokens, maxContextTokens };
}
@@ -1,17 +1,5 @@
import { describe, expect, it } from "vitest";
import type { UIMessage } from "@ai-sdk/react";
import {
estimateTokens,
liveTurnTokens,
} from "@/features/ai-chat/utils/count-stream-tokens.ts";
const msg = (parts: unknown[], metadata?: unknown): UIMessage =>
({
id: Math.random().toString(),
role: "assistant",
parts,
metadata,
}) as UIMessage;
import { estimateTokens } from "@/features/ai-chat/utils/count-stream-tokens.ts";
describe("estimateTokens", () => {
it("returns 0 for the empty string", () => {
@@ -25,147 +13,3 @@ describe("estimateTokens", () => {
expect(estimateTokens("12345678")).toBe(2);
});
});
describe("liveTurnTokens — estimate path", () => {
it("is all zeros for an undefined message", () => {
expect(liveTurnTokens(undefined)).toEqual({
reasoning: 0,
output: 0,
authoritative: false,
});
});
it("is all zeros for a parts-less message", () => {
expect(liveTurnTokens({ id: "x", role: "assistant" } as UIMessage)).toEqual({
reasoning: 0,
output: 0,
authoritative: false,
});
});
it("estimates output from text parts", () => {
// 8 chars -> 2 tokens.
const r = liveTurnTokens(msg([{ type: "text", text: "12345678" }]));
expect(r).toEqual({ reasoning: 0, output: 2, authoritative: false });
});
it("estimates reasoning from reasoning parts (kept separate from output)", () => {
const r = liveTurnTokens(
msg([
{ type: "reasoning", text: "12345678" },
{ type: "text", text: "abcd" },
]),
);
expect(r).toEqual({ reasoning: 2, output: 1, authoritative: false });
});
it("accumulates across multiple text + reasoning parts (multi-step)", () => {
const r = liveTurnTokens(
msg([
{ type: "reasoning", text: "abcd" }, // 1
{ type: "text", text: "abcd" }, // 1
{ type: "tool-getPage", state: "output-available" }, // ignored
{ type: "reasoning", text: "abcd" }, // 1
{ type: "text", text: "abcdefgh" }, // 2
]),
);
expect(r).toEqual({ reasoning: 2, output: 3, authoritative: false });
});
it("ignores non text/reasoning parts (tools, step-start)", () => {
const r = liveTurnTokens(
msg([
{ type: "step-start" },
{ type: "tool-getPage", state: "input-available" },
]),
);
expect(r).toEqual({ reasoning: 0, output: 0, authoritative: false });
});
});
describe("liveTurnTokens — authoritative path", () => {
it("returns authoritative usage verbatim, splitting reasoning out of output", () => {
// outputTokens INCLUDES reasoning in the AI SDK shape -> answer = 100 - 30.
const r = liveTurnTokens(
msg([{ type: "text", text: "estimate would be tiny" }], {
usage: { inputTokens: 500, outputTokens: 100, reasoningTokens: 30 },
}),
);
expect(r).toEqual({ reasoning: 30, output: 70, authoritative: true });
});
it("treats missing reasoningTokens as 0 and keeps full output", () => {
const r = liveTurnTokens(
msg([{ type: "text", text: "x" }], {
usage: { inputTokens: 10, outputTokens: 42 },
}),
);
expect(r).toEqual({ reasoning: 0, output: 42, authoritative: true });
});
it("never returns a negative output when reasoning exceeds reported output", () => {
const r = liveTurnTokens(
msg([], { usage: { outputTokens: 10, reasoningTokens: 40 } }),
);
expect(r).toEqual({ reasoning: 40, output: 0, authoritative: true });
});
it("falls back to the estimate when metadata has no usage object", () => {
const r = liveTurnTokens(
msg([{ type: "text", text: "abcd" }], { chatId: "c1" }),
);
expect(r).toEqual({ reasoning: 0, output: 1, authoritative: false });
});
});
describe("liveTurnTokens — combined authoritative + estimate (#163)", () => {
it("ticks the in-flight step above the completed-steps authoritative base", () => {
// The authoritative usage is the sum over COMPLETED steps (step 1). The
// CURRENT step is streaming and its text is NOT in `usage` yet, but it IS in
// the parts -> the running estimate must push the live figure above the base
// so the badge keeps growing between step boundaries.
const longText = "x".repeat(800); // 800 chars -> 200 est output tokens
const r = liveTurnTokens(
msg([{ type: "text", text: longText }], {
usage: { inputTokens: 500, outputTokens: 40 }, // step-1 base: 40 output
}),
);
// max(authOutput=40, estOutput=200) = 200 -> the counter ticks, not frozen.
expect(r.output).toBe(200);
expect(r.authoritative).toBe(true);
});
it("ticks reasoning of the in-flight step above the authoritative reasoning base", () => {
const longReasoning = "r".repeat(400); // 400 chars -> 100 est reasoning
const r = liveTurnTokens(
msg([{ type: "reasoning", text: longReasoning }], {
usage: { inputTokens: 100, outputTokens: 20, reasoningTokens: 20 },
}),
);
// reasoning: max(20, 100) = 100 ; output: max(max(0,20-20)=0, 0) = 0.
expect(r.reasoning).toBe(100);
expect(r.output).toBe(0);
expect(r.authoritative).toBe(true);
});
it("snaps to the authoritative figure once it exceeds the rough estimate", () => {
// Short on-screen text (estimate tiny) but a large authoritative output:
// the exact figure wins at the boundary (the counter never under-reports).
const r = liveTurnTokens(
msg([{ type: "text", text: "abcd" }], {
usage: { inputTokens: 10, outputTokens: 5000 },
}),
);
expect(r.output).toBe(5000);
});
it("is monotonic: max never drops below the authoritative base when the estimate is smaller", () => {
// Mirrors the legacy 'verbatim' tests: estimate < authoritative -> unchanged.
const r = liveTurnTokens(
msg([{ type: "text", text: "tiny" }], {
usage: { inputTokens: 500, outputTokens: 100, reasoningTokens: 30 },
}),
);
expect(r).toEqual({ reasoning: 30, output: 70, authoritative: true });
});
});
@@ -1,18 +1,11 @@
import type { UIMessage } from "@ai-sdk/react";
/**
* Live token counting for a streaming AI-chat turn — split into REASONING
* (thinking) and OUTPUT (answer) tokens, mirroring how Claude Code shows
* `Thinking… · 60 tokens` next to its thinking indicator.
* Rough client-side token estimation for AI-chat UI affordances.
*
* No provider streams exact per-token usage mid-stream, so the live number is a
* CLIENT ESTIMATE (chars/≈4 heuristic) that is reconciled to AUTHORITATIVE usage
* once the server attaches it on a step/turn boundary (see the server's
* `chatStreamMetadata` + the client's read of `message.metadata.usage`). When
* authoritative usage is present we return it verbatim (the number "jumps to
* exact"); otherwise we return the running estimate. Pure + unit-testable: it
* never runs a real BPE tokenizer (that would be O(n²) on the hot path, bloat the
* bundle, and be wrong for Gemini/Ollama anyway).
* No provider streams exact per-token usage mid-stream, so any in-flight figure
* is a CLIENT ESTIMATE (chars/≈4 heuristic). Pure + unit-testable: it never runs
* a real BPE tokenizer (that would be O(n²) on the hot path, bloat the bundle,
* and be wrong for Gemini/Ollama anyway). Used by the in-body reasoning counter
* ("Thinking · N tokens").
*/
/**
@@ -24,90 +17,3 @@ export function estimateTokens(text: string): number {
if (!text) return 0;
return Math.ceil(text.length / 4);
}
/** Authoritative per-step/turn usage the server attaches to message metadata. */
export interface AuthoritativeUsage {
inputTokens?: number;
outputTokens?: number;
totalTokens?: number;
reasoningTokens?: number;
}
/** Live token split for a turn's tail (streaming) assistant message. */
export interface LiveTurnTokens {
/** Thinking/reasoning tokens (estimate, or authoritative when available). */
reasoning: number;
/** Answer/output tokens (estimate, or authoritative when available). */
output: number;
/** True when the numbers come from authoritative server usage, not estimate. */
authoritative: boolean;
}
/** Read the authoritative usage off a UIMessage's metadata, if the server set it. */
function metadataUsage(message: UIMessage): AuthoritativeUsage | undefined {
const meta = message?.metadata as
| { usage?: AuthoritativeUsage }
| undefined;
const usage = meta?.usage;
if (!usage || typeof usage !== "object") return undefined;
return usage;
}
/**
* Token split for the given (streaming) assistant message.
*
* COMBINES the authoritative server usage with the running text estimate so the
* counter ticks in real time AND lands exact. The server only attaches
* `metadata.usage` at a step/turn boundary (`finish-step`/`finish`) and it is
* CUMULATIVE over COMPLETED steps — it does NOT yet include the in-flight step.
* So a multi-step turn that returned the authoritative figure verbatim would
* FREEZE between boundaries and jump in steps (issue #163).
*
* Instead we always compute the running ESTIMATE (chars/≈4 over the message's
* `reasoning`/`text` parts, which grows on every streamed delta) and take the
* per-component MAX of the authoritative base and the estimate:
* - between boundaries the estimate of the in-flight step ticks the number up;
* - at a boundary the authoritative figure snaps it to exact;
* - because the server's usage is cumulative and we only ever take the max, the
* number is MONOTONIC — it never drops.
*
* Providers that don't stream reasoning text still surface a reasoning count once
* the authoritative usage arrives (`max(reasoningTokens, 0)`); on the pure
* estimate path (no usage yet) such a turn shows `reasoning: 0` until then.
*/
export function liveTurnTokens(message: UIMessage | undefined): LiveTurnTokens {
if (!message) return { reasoning: 0, output: 0, authoritative: false };
// Running ESTIMATE over every reasoning/text part — grows on each delta. This
// includes the IN-FLIGHT step, which the authoritative usage does not cover yet.
let estReasoning = 0;
let estOutput = 0;
for (const part of message.parts ?? []) {
if (part.type === "reasoning") {
estReasoning += estimateTokens((part as { text?: string }).text ?? "");
} else if (part.type === "text") {
estOutput += estimateTokens((part as { text?: string }).text ?? "");
}
}
const usage = metadataUsage(message);
if (!usage) {
// No authoritative usage streamed yet: the estimate IS the live figure.
return { reasoning: estReasoning, output: estOutput, authoritative: false };
}
// Authoritative sum over COMPLETED steps. `outputTokens` already INCLUDES
// reasoning in the AI SDK usage shape, so subtract it out for the "answer"
// figure (never go negative if a provider reports them inconsistently).
const authReasoning = usage.reasoningTokens ?? 0;
const authOutput = Math.max(0, (usage.outputTokens ?? 0) - authReasoning);
// Per-component max: the in-flight step's estimate ticks above the completed-
// steps base between boundaries, and the authoritative figure wins once it
// exceeds the (rough) estimate at the next boundary. Monotonic by construction.
return {
reasoning: Math.max(authReasoning, estReasoning),
output: Math.max(authOutput, estOutput),
authoritative: true,
};
}
@@ -0,0 +1,87 @@
import { describe, expect, it } from "vitest";
import { mcpTestButtonView } from "./ai-mcp-server-test-view";
/**
* Pure-helper tests for the inline "Test" button presentation. Covers the four
* states (idle / loading is handled by the component's `isPending`, so here:
* idle / ok-with-tools / ok-without-tools / failed) and the tooltip text
* branches that are easiest to break silently.
*/
// Identity-ish translator that echoes the key and interpolates {{n}} so the
// label/tooltip branches are observable without the real i18n bundle.
const t = (key: string, options?: Record<string, unknown>): string =>
options && "n" in options
? key.replace("{{n}}", String((options as { n: unknown }).n))
: key;
describe("mcpTestButtonView", () => {
it("idle when there is no result", () => {
expect(mcpTestButtonView(undefined, t)).toEqual({
state: "idle",
color: undefined,
variant: "default",
label: "Test",
tooltip: "",
});
});
it("ok with tools lists them in the tooltip", () => {
expect(mcpTestButtonView({ ok: true, tools: ["a", "b"] }, t)).toEqual({
state: "ok",
color: "green",
variant: "light",
label: "OK · 2",
tooltip: "a, b",
});
});
it('ok with zero tools shows "No tools available"', () => {
expect(mcpTestButtonView({ ok: true, tools: [] }, t)).toEqual({
state: "ok",
color: "green",
variant: "light",
label: "OK · 0",
tooltip: "No tools available",
});
});
it("failed surfaces the error text in the tooltip", () => {
expect(
mcpTestButtonView({ ok: false, error: "402: nope" }, t),
).toEqual({
state: "failed",
color: "red",
variant: "light",
label: "Failed",
tooltip: "402: nope",
});
});
it("failed when the request itself rejects (no result payload)", () => {
// 401/403/500/network: there is no { ok } body, only a thrown error. The
// row must still show a red "Failed" rather than reverting to idle "Test".
expect(
mcpTestButtonView(undefined, t, {
response: { data: { message: "Unauthorized" } },
}),
).toEqual({
state: "failed",
color: "red",
variant: "light",
label: "Failed",
tooltip: "Unauthorized",
});
});
it("reject without a server message falls back to the generic label", () => {
// A bare network error (no response body) still surfaces as failed, using
// the i18n fallback for the tooltip.
expect(mcpTestButtonView(undefined, t, new Error("network down"))).toEqual({
state: "failed",
color: "red",
variant: "light",
label: "Failed",
tooltip: "Failed to update data",
});
});
});
@@ -0,0 +1,90 @@
import type { IAiMcpServerTestResult } from "@/features/workspace/services/ai-mcp-server-service.ts";
/** Minimal translator shape (i18next `t`): key + optional interpolation. */
type Translate = (key: string, options?: Record<string, unknown>) => string;
/** Subset of an axios-style rejection we read for the reject tooltip. */
type McpTestRequestError = {
response?: { data?: { message?: string } };
};
/**
* Best-effort extraction of a server-sent message from a rejected test request
* (axios stores it at `error.response.data.message`). Returns undefined for a
* bare/network error so the caller can fall back to a generic label.
*/
function readRequestErrorMessage(error: unknown): string | undefined {
if (error && typeof error === "object" && "response" in error) {
return (error as McpTestRequestError).response?.data?.message;
}
return undefined;
}
/**
* Presentation for the inline "Test" button, derived from the current test
* result tristate (no result yet / ok / failed). Color is never the only signal
* — the label and icon change too (a11y / colorblind-friendly). Kept as a single
* pure derivation (rather than two parallel if/else chains) so the button and
* tooltip can never drift apart, and so the text branches are unit-testable
* without rendering the row.
*/
export interface McpTestButtonView {
/** Tristate; the component maps this to the leftSection icon. */
state: "idle" | "ok" | "failed";
/** Mantine Button color; undefined = theme default (idle). */
color?: string;
/** Mantine Button variant. */
variant: string;
/** Translated button label. */
label: string;
/** Translated tooltip text; "" while there is no result (tooltip disabled). */
tooltip: string;
}
export function mcpTestButtonView(
result: IAiMcpServerTestResult | undefined,
t: Translate,
error?: unknown,
): McpTestButtonView {
if (result?.ok) {
return {
state: "ok",
color: "green",
variant: "light",
label: t("OK · {{n}}", { n: result.tools.length }),
tooltip:
result.tools.length > 0
? result.tools.join(", ")
: t("No tools available"),
};
}
if (result && result.ok === false) {
return {
state: "failed",
color: "red",
variant: "light",
label: t("Failed"),
tooltip: result.error,
};
}
if (error) {
// The test request itself rejected (401/403/500/network) — there is no
// `{ ok }` payload, so without this branch the row would silently revert to
// the idle "Test" instead of reporting the failure. Tooltip prefers the
// server-sent message, else the generic i18n fallback.
return {
state: "failed",
color: "red",
variant: "light",
label: t("Failed"),
tooltip: readRequestErrorMessage(error) ?? t("Failed to update data"),
};
}
return {
state: "idle",
color: undefined,
variant: "default",
label: t("Test"),
tooltip: "",
};
}
@@ -1,4 +1,4 @@
import { useState } from "react";
import { useEffect, useState } from "react";
import {
ActionIcon,
Badge,
@@ -10,18 +10,28 @@ import {
Stack,
Switch,
Text,
Tooltip,
} from "@mantine/core";
import { useDisclosure } from "@mantine/hooks";
import { modals } from "@mantine/modals";
import { IconPencil, IconPlus, IconTrash } from "@tabler/icons-react";
import {
IconCheck,
IconPencil,
IconPlugConnected,
IconPlus,
IconTrash,
IconX,
} from "@tabler/icons-react";
import { useTranslation } from "react-i18next";
import useUserRole from "@/hooks/use-user-role.tsx";
import {
useAiMcpServersQuery,
useDeleteAiMcpServerMutation,
useTestAiMcpServerMutation,
useUpdateAiMcpServerMutation,
} from "@/features/workspace/queries/ai-mcp-server-query.ts";
import { IAiMcpServer } from "@/features/workspace/services/ai-mcp-server-service.ts";
import { mcpTestButtonView } from "@/features/workspace/components/settings/components/ai-mcp-server-test-view.ts";
import AiMcpServerForm from "./ai-mcp-server-form.tsx";
/**
@@ -112,55 +122,15 @@ export default function AiMcpServers() {
<Stack gap="xs" mt="sm">
{servers?.map((server) => (
<Group key={server.id} justify="space-between" wrap="nowrap">
<Stack gap={2} style={{ minWidth: 0 }}>
<Group gap="xs">
<Text fw={500} truncate>
{server.name}
</Text>
<Badge size="xs" variant="light">
{server.transport.toUpperCase()}
</Badge>
</Group>
<Text
size="xs"
c="dimmed"
truncate
style={{ fontFamily: "ui-monospace, Menlo, monospace" }}
>
{server.url}
</Text>
</Stack>
<Group gap="xs" wrap="nowrap">
<Switch
size="sm"
checked={server.enabled}
aria-label={t("Enabled")}
onChange={(event) =>
updateMutation.mutate({
id: server.id,
enabled: event.currentTarget.checked,
})
}
/>
<ActionIcon
variant="subtle"
aria-label={t("Edit")}
onClick={() => openEdit(server)}
>
<IconPencil size={16} />
</ActionIcon>
<ActionIcon
variant="subtle"
color="red"
aria-label={t("Delete")}
onClick={() => confirmDelete(server)}
>
<IconTrash size={16} />
</ActionIcon>
</Group>
</Group>
<AiMcpServerRow
key={server.id}
server={server}
onEdit={openEdit}
onDelete={confirmDelete}
onToggleEnabled={(enabled) =>
updateMutation.mutate({ id: server.id, enabled })
}
/>
))}
</Stack>
@@ -180,3 +150,127 @@ export default function AiMcpServers() {
</Paper>
);
}
interface AiMcpServerRowProps {
server: IAiMcpServer;
onEdit: (server: IAiMcpServer) => void;
onDelete: (server: IAiMcpServer) => void;
onToggleEnabled: (enabled: boolean) => void;
}
/**
* A single external MCP server row: name/badge/url on the left and the
* Test / Switch / Edit / Delete controls on the right. Each row owns its own
* `useTestAiMcpServerMutation()` so the inline Test result and loading state are
* independent per row (a shared mutation would make `isPending` global and make
* every row flicker).
*/
function AiMcpServerRow({
server,
onEdit,
onDelete,
onToggleEnabled,
}: AiMcpServerRowProps) {
const { t } = useTranslation();
const testMutation = useTestAiMcpServerMutation();
const result = testMutation.data;
// The row is keyed by `server.id`, so editing the connection-relevant fields
// (url/transport/headers) does NOT remount it — an old success/failure result
// would otherwise stick. Clear the result when those fields change.
useEffect(() => {
testMutation.reset();
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [server.url, server.transport, server.hasHeaders]);
// Single derivation of the button/tooltip presentation from the test tristate
// (idle / ok / failed), so the two can never drift apart. Tooltip is "" while
// there is no result; the icon is mapped from `view.state` below. When the
// request itself rejects (401/403/500/network) there is no `data` payload, so
// we feed the mutation error in too — otherwise the row would silently revert
// to "Test" instead of showing a red "Failed".
const view = mcpTestButtonView(
result,
t,
testMutation.isError ? testMutation.error : undefined,
);
const tooltipLabel = view.tooltip;
const buttonColor = view.color;
const buttonVariant = view.variant;
const buttonLabel = view.label;
const buttonIcon =
view.state === "ok" ? (
<IconCheck size={16} />
) : view.state === "failed" ? (
<IconX size={16} />
) : (
<IconPlugConnected size={16} />
);
return (
<Group justify="space-between" wrap="nowrap">
<Stack gap={2} style={{ minWidth: 0 }}>
<Group gap="xs">
<Text fw={500} truncate>
{server.name}
</Text>
<Badge size="xs" variant="light">
{server.transport.toUpperCase()}
</Badge>
</Group>
<Text
size="xs"
c="dimmed"
truncate
style={{ fontFamily: "ui-monospace, Menlo, monospace" }}
>
{server.url}
</Text>
</Stack>
<Group gap="xs" wrap="nowrap">
{/* Always clickable: testing a disabled server before enabling it is useful. */}
<Tooltip
label={tooltipLabel}
disabled={view.state === "idle"}
multiline
maw={320}
withinPortal
>
<Button
size="xs"
miw={88}
color={buttonColor}
variant={buttonVariant}
leftSection={testMutation.isPending ? undefined : buttonIcon}
loading={testMutation.isPending}
onClick={() => testMutation.mutate(server.id)}
>
{buttonLabel}
</Button>
</Tooltip>
<Switch
size="sm"
checked={server.enabled}
aria-label={t("Enabled")}
onChange={(event) => onToggleEnabled(event.currentTarget.checked)}
/>
<ActionIcon
variant="subtle"
aria-label={t("Edit")}
onClick={() => onEdit(server)}
>
<IconPencil size={16} />
</ActionIcon>
<ActionIcon
variant="subtle"
color="red"
aria-label={t("Delete")}
onClick={() => onDelete(server)}
>
<IconTrash size={16} />
</ActionIcon>
</Group>
</Group>
);
}
@@ -7,6 +7,7 @@ import {
Button,
Group,
Modal,
NumberInput,
Paper,
PasswordInput,
Select,
@@ -83,6 +84,9 @@ const STT_LANGUAGE_OPTIONS: { value: string; label: string }[] = [
// (empty means "leave unchanged" unless explicitly cleared).
const formSchema = z.object({
chatModel: z.string(),
// Max context window in tokens shown in the chat header badge. A number, or ""
// when the NumberInput is empty (no limit).
chatContextWindow: z.union([z.number(), z.literal("")]),
// Chat provider implementation (reasoning surfacing). Default openai-compatible.
chatApiStyle: z.enum(["openai-compatible", "openai"]),
// Cheap model id for the anonymous public-share assistant; empty = use chatModel.
@@ -311,6 +315,7 @@ export default function AiProviderSettings() {
validate: zod4Resolver(formSchema),
initialValues: {
chatModel: "",
chatContextWindow: "",
chatApiStyle: "openai-compatible" as ChatApiStyle,
publicShareChatModel: "",
publicShareAssistantRoleId: "",
@@ -334,6 +339,7 @@ export default function AiProviderSettings() {
if (!settings) return;
form.setValues({
chatModel: settings.chatModel ?? "",
chatContextWindow: settings.chatContextWindow ?? "",
chatApiStyle: settings.chatApiStyle ?? "openai-compatible",
publicShareChatModel: settings.publicShareChatModel ?? "",
publicShareAssistantRoleId: settings.publicShareAssistantRoleId ?? "",
@@ -364,6 +370,12 @@ export default function AiProviderSettings() {
// Everything is OpenAI-compatible.
driver: "openai",
chatModel: values.chatModel,
// Max context window for the chat header badge; empty NumberInput ("") →
// 0, which clears the limit server-side (no denominator shown).
chatContextWindow:
typeof values.chatContextWindow === "number"
? values.chatContextWindow
: 0,
chatApiStyle: values.chatApiStyle,
// Cheap model id for the anonymous public-share assistant; empty falls
// back to chatModel server-side.
@@ -767,6 +779,18 @@ export default function AiProviderSettings() {
{t("Resolves to {{url}}", { url: chatResolved })}
</Text>
<NumberInput
mt="sm"
label={t("Context window (tokens)")}
description={t(
"Shown as used / total in the chat header. Leave empty to hide the limit.",
)}
min={0}
allowDecimal={false}
disabled={isLoading}
{...form.getInputProps("chatContextWindow")}
/>
<Select
mt="sm"
label={t("Protocol")}
@@ -22,6 +22,8 @@ export type ChatApiStyle = "openai-compatible" | "openai";
export interface IAiSettings {
driver?: AiDriver;
chatModel?: string;
// Max context window in tokens shown in the chat header badge; 0/unset = no limit.
chatContextWindow?: number;
chatApiStyle?: ChatApiStyle;
// Cheap model id for the anonymous public-share assistant; empty = chatModel.
publicShareChatModel?: string;
@@ -56,6 +58,8 @@ export interface IAiSettings {
export interface IAiSettingsUpdate {
driver?: AiDriver;
chatModel?: string;
// Max context window in tokens for the chat header badge; 0 = clear the limit.
chatContextWindow?: number;
chatApiStyle?: ChatApiStyle;
publicShareChatModel?: string;
// Agent-role id whose persona the public-share assistant adopts; empty =