feat(workflows): pipeline pass rates and skill/plugin usage

Restores the five analytics sections that turned out to be worth keeping
(patterns, model delegation, error propagation, session complexity, compaction
impact) and reworks what the page opens on.

The lane panel no longer mirrors the Workspace's live lane strip. It now
answers the question the strip cannot: how often each pipeline node actually
passes. GET /api/lanes/pipeline-stats aggregates every stage record of every
lane AND every archived feature — a lane's own `stages` only holds its current
feature, so without the archive the history resets each time a lane starts new
work. Evidence-backed passes are counted apart from bare claims, the same line
the pipeline map draws between `done` and `passed-no-evidence`.

Beside it, GET /api/workflows/skill-usage reports which skills and plugins the
sessions actually reach for. Only PreToolUse rows are counted: every call also
emits a PostToolUse, and counting both would double every number. A plugin's
total includes calls to the MCP tools it ships, so one used purely through MCP
does not read as unused.

Still dropped from issue #6: the agent collaboration network and the subagent
effectiveness scorecards.
This commit is contained in:
2026-08-26 10:32:13 +07:00
parent 4a0f99583d
commit 348c645ef3
23 changed files with 3944 additions and 239 deletions
@@ -0,0 +1,424 @@
/**
* @file CompactionImpact.tsx
* @description Visualizes how context compaction is spread across sessions.
* Compaction is when Claude Code compresses older conversation history into a
* summary once a session's context window fills up. This panel surfaces the
* at-a-glance stats (total events, sessions affected, average and peak per
* session) and a histogram answering "how many sessions compacted N times?"
* so the distribution is legible regardless of how many sessions exist.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
* MODULE_GUIDE — extended in-file reference (comments only; safe to read, never executed)
* =============================================================================
* **Purpose:** Workflow analytics visualization built on D3; consumes aggregated session/run metrics from the workflows API.
*
* ## Design constraints
* - Local-first: no telemetry leaves the machine unless the user configures webhooks.
* - Fail-safe hooks path on the server must never block Claude Code; UI mirrors that
* philosophy by degrading gracefully (empty states, stale badges, reconnect loops).
* - Destructive flows stay behind explicit confirmation modals and server-side gates.
* - Internationalization: user-visible strings belong in i18n JSON, not literals here.
*
* ## Remote data & SSH
* Remote Data Sources let operators aggregate multiple machines. SSH entries describe
* how to reach a peer dashboard; the global data scope (`dataScope.ts`) narrows every
* scoped GET via `?sources=`. Health checks and import history surface in Settings.
*
* ## Internal dependencies
* - `../../lib/types`
*
* ## Public surface
* - `CompactionImpactProps` — exported API; see TSDoc on the symbol for behavior.
* - `CompactionImpact` — exported API; see TSDoc on the symbol for behavior.
*
* ## Testing pointers
* - Prefer colocated `__tests__` with Vitest + Testing Library for UI.
* - Server contract changes require `npm run test:server` and OpenAPI sync.
* - MCP edits: `npm run mcp:typecheck` and `npm run mcp:build`.
*
* ## Related docs
* - `ARCHITECTURE.md` — hooks → API → SQLite → WebSocket → UI pipeline.
* - `docs/API.md` — REST reference.
* - `skills/file-headers/` — mandatory `@author` header policy.
* ============================================================================= */
/* -----------------------------------------------------------------------------
* EXPORT CATALOG — quick index of symbols defined below (documentation only).
* -----------------------------------------------------------------------------
* **CompactionImpactProps**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* **CompactionImpact**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* ----------------------------------------------------------------------------- */
import { useRef, useEffect, useState } from "react";
import { useTranslation } from "react-i18next";
import * as d3 from "d3";
import type { CompactionImpactData } from "../../lib/types";
// ── Helpers ───────────────────────────────────────────────────────────────────
function fmtTokens(n: number): string {
if (n >= 1_000_000_000) return `${(n / 1_000_000_000).toFixed(1)}B`;
if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(1)}M`;
if (n >= 1_000) return `${(n / 1_000).toFixed(1)}K`;
return String(n);
}
/** Roll the per-session list into a histogram: for each compaction count k
* (1..peak), how many sessions compacted exactly k times. */
function toHistogram(perSession: CompactionImpactData["perSession"]): Array<{
count: number;
sessions: number;
}> {
const peak = perSession.reduce((m, s) => Math.max(m, s.compactions), 0);
const buckets: Array<{ count: number; sessions: number }> = [];
for (let k = 1; k <= peak; k++) {
buckets.push({ count: k, sessions: perSession.filter((s) => s.compactions === k).length });
}
return buckets;
}
// ── Chart constants ───────────────────────────────────────────────────────────
const MARGIN = { top: 18, right: 16, bottom: 46, left: 48 };
const CHART_HEIGHT = 200;
// ── D3 renderer ───────────────────────────────────────────────────────────────
interface HistogramBucket {
count: number;
sessions: number;
}
interface HistogramOpts {
x: string;
y: string;
onHover: (e: MouseEvent, d: HistogramBucket) => void;
onMove: (e: MouseEvent) => void;
onLeave: () => void;
}
function renderHistogram(svg: SVGSVGElement, histo: HistogramBucket[], opts: HistogramOpts): void {
const container = svg.parentElement;
const width = container ? container.clientWidth : 400;
const innerW = width - MARGIN.left - MARGIN.right;
const innerH = CHART_HEIGHT - MARGIN.top - MARGIN.bottom;
const root = d3.select(svg);
root.selectAll("*").remove();
root.attr("viewBox", `0 0 ${width} ${CHART_HEIGHT}`).attr("preserveAspectRatio", "xMidYMid meet");
const defs = root.append("defs");
const grad = defs
.append("linearGradient")
.attr("id", "compact-bar-grad")
.attr("x1", "0%")
.attr("y1", "0%")
.attr("x2", "0%")
.attr("y2", "100%");
grad.append("stop").attr("offset", "0%").attr("stop-color", "#818cf8");
grad
.append("stop")
.attr("offset", "100%")
.attr("stop-color", "#3730a3")
.attr("stop-opacity", 0.7);
const g = root.append("g").attr("transform", `translate(${MARGIN.left},${MARGIN.top})`);
const maxSessions = d3.max(histo, (d) => d.sessions) ?? 1;
const xScale = d3
.scaleBand<number>()
.domain(histo.map((d) => d.count))
.range([0, innerW])
.padding(histo.length > 12 ? 0.18 : 0.34);
const yScale = d3.scaleLinear().domain([0, maxSessions]).nice().range([innerH, 0]);
// Horizontal grid lines (integer session counts)
const yTicks = yScale.ticks(Math.min(4, maxSessions)).filter((d) => Number.isInteger(d));
g.selectAll<SVGLineElement, number>(".grid-line")
.data(yTicks)
.join("line")
.attr("class", "grid-line")
.attr("x1", 0)
.attr("x2", innerW)
.attr("y1", (d) => yScale(d))
.attr("y2", (d) => yScale(d))
.attr("stroke", "#2a2a3d")
.attr("stroke-width", 1);
// Y axis (sessions)
g.append("g")
.call(
d3
.axisLeft(yScale)
.tickValues(yTicks)
.tickSize(0)
.tickPadding(8)
.tickFormat((d) => String(d))
)
.call((ax) => ax.select(".domain").remove())
.selectAll("text")
.attr("fill", "#6b7280")
.attr("font-size", 10)
.attr("font-family", "Inter, sans-serif");
// X axis (compactions per session - one tick per bucket)
g.append("g")
.attr("transform", `translate(0,${innerH})`)
.call(d3.axisBottom(xScale).tickSize(0).tickPadding(8))
.call((ax) => ax.select(".domain").remove())
.selectAll("text")
.attr("fill", "#9ca3af")
.attr("font-size", 10)
.attr("font-family", "Inter, sans-serif");
// Axis titles
g.append("text")
.attr("x", innerW / 2)
.attr("y", innerH + 38)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", 10)
.attr("font-weight", 500)
.attr("font-family", "Inter, sans-serif")
.text(opts.x);
g.append("text")
.attr("transform", "rotate(-90)")
.attr("x", -innerH / 2)
.attr("y", -38)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", 10)
.attr("font-weight", 500)
.attr("font-family", "Inter, sans-serif")
.text(opts.y);
// Bars + count labels + rich hover tooltip (full-height hit-area so every
// column - including empty buckets - responds, matching the other charts).
histo.forEach((d) => {
const bx = xScale(d.count);
if (bx === undefined) return;
const bw = xScale.bandwidth();
const by = yScale(d.sessions);
const barH = innerH - by;
const bg = g.append("g");
let bar: d3.Selection<SVGRectElement, unknown, null, undefined> | null = null;
if (d.sessions > 0) {
bar = bg
.append("rect")
.attr("x", bx)
.attr("y", by)
.attr("width", bw)
.attr("height", barH)
.attr("rx", Math.min(4, bw / 2))
.attr("fill", "url(#compact-bar-grad)")
.style("transition", "fill 120ms ease");
bg.append("text")
.attr("x", bx + bw / 2)
.attr("y", by - 5)
.attr("text-anchor", "middle")
.attr("fill", "#a5b4fc")
.attr("font-size", 10)
.attr("font-weight", "600")
.attr("font-family", "Inter, sans-serif")
.attr("pointer-events", "none")
.text(d.sessions);
} else {
// Empty bucket: faint baseline tick so the gap reads as "zero", not missing
bg.append("rect")
.attr("x", bx)
.attr("y", innerH - 1)
.attr("width", bw)
.attr("height", 1)
.attr("fill", "#2a2a3d");
}
// Transparent, full-height hover target on top of the bar.
bg.append("rect")
.attr("x", bx)
.attr("y", 0)
.attr("width", bw)
.attr("height", innerH)
.attr("fill", "transparent")
.style("cursor", "pointer")
.on("mouseenter", (event: MouseEvent) => {
if (bar) bar.attr("fill", "#a5b4fc");
opts.onHover(event, d);
})
.on("mousemove", (event: MouseEvent) => opts.onMove(event))
.on("mouseleave", () => {
if (bar) bar.attr("fill", "url(#compact-bar-grad)");
opts.onLeave();
});
});
}
// ── Stat box ──────────────────────────────────────────────────────────────────
interface StatBoxProps {
label: string;
value: string;
sub?: string;
accent?: string;
}
function StatBox({ label, value, sub, accent = "text-accent" }: StatBoxProps) {
return (
<div className="flex flex-col gap-1 bg-surface-3 border border-border rounded-xl px-4 py-3.5 flex-1 min-w-0">
<span className={`text-2xl font-semibold tabular-nums ${accent}`}>{value}</span>
<span className="text-[11px] font-medium text-fg-muted uppercase tracking-wider leading-tight">
{label}
</span>
{sub && <span className="text-[11px] text-fg-muted tabular-nums">{sub}</span>}
</div>
);
}
// ── Component ─────────────────────────────────────────────────────────────────
export interface CompactionImpactProps {
data: CompactionImpactData;
}
export function CompactionImpact({ data }: CompactionImpactProps) {
const { t } = useTranslation("workflows");
const svgRef = useRef<SVGSVGElement>(null);
const [tip, setTip] = useState<{ x: number; y: number; title: string; detail: string } | null>(
null
);
const hasData = data.totalCompactions > 0;
const affected = data.sessionsWithCompactions;
const sessionPct = data.totalSessions > 0 ? Math.round((affected / data.totalSessions) * 100) : 0;
const avgPerSession = affected > 0 ? data.totalCompactions / affected : 0;
const peak = data.perSession.reduce((m, s) => Math.max(m, s.compactions), 0);
useEffect(() => {
if (!svgRef.current || !hasData) return;
const histo = toHistogram(data.perSession);
const affectedN = data.sessionsWithCompactions;
renderHistogram(svgRef.current, histo, {
x: t("compaction.xAxis"),
y: t("compaction.yAxis"),
onHover: (e, d) => {
const pct = affectedN > 0 ? Math.round((d.sessions / affectedN) * 100) : 0;
setTip({
x: e.clientX,
y: e.clientY,
title: t("compaction.tipTitle", { count: d.count }),
detail: t("compaction.tipDetail", { sessions: d.sessions, pct }),
});
},
onMove: (e) => setTip((p) => (p ? { ...p, x: e.clientX, y: e.clientY } : p)),
onLeave: () => setTip(null),
});
}, [data, hasData, t]);
if (!hasData) {
return (
<div className="flex flex-col items-center justify-center py-16 gap-3 text-fg-muted">
<svg
width="40"
height="40"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
strokeWidth="1.5"
aria-hidden="true"
>
<path d="M9 17H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11a2 2 0 0 1 2 2v3" />
<path d="M13 21l2-2 4 4" />
<path d="M17 21v-6" />
<path d="M21 17h-6" />
</svg>
<span className="text-sm">{t("compaction.noData")}</span>
</div>
);
}
return (
<div className="flex flex-col gap-5">
{/* What compaction is - one line so the numbers below make sense */}
<p className="text-xs text-fg-muted leading-relaxed">{t("compaction.help")}</p>
{/* Stat tiles */}
<div className="grid grid-cols-2 lg:grid-cols-4 gap-3">
<StatBox
label={t("compaction.totalCompactions")}
value={data.totalCompactions.toLocaleString()}
accent="text-accent-hover"
/>
<StatBox
label={t("compaction.sessionsAffected")}
value={affected.toLocaleString()}
sub={t("compaction.ofTotal", { total: data.totalSessions.toLocaleString() })}
accent="text-violet-300"
/>
<StatBox
label={t("compaction.avgPerSession")}
value={avgPerSession.toFixed(1)}
accent="text-blue-400"
/>
<StatBox
label={t("compaction.peakSession")}
value={peak.toLocaleString()}
accent="text-status-success"
/>
</div>
{/* Histogram: sessions by compaction count */}
<div className="w-full overflow-hidden">
<p className="text-xs font-medium text-fg-muted uppercase tracking-wider mb-2">
{t("compaction.distribution")}
</p>
<svg
ref={svgRef}
className="w-full"
style={{ height: CHART_HEIGHT }}
aria-label={t("compaction.ariaLabel")}
role="img"
/>
</div>
{/* Plain-English summary + (when present) tokens freed */}
<p className="text-xs text-fg-muted leading-relaxed">
{t("compaction.summary", {
affected: affected.toLocaleString(),
total: data.totalSessions.toLocaleString(),
pct: sessionPct,
})}
{data.tokensRecovered > 0 && (
<> {t("compaction.tokensFreed", { tokens: fmtTokens(data.tokensRecovered) })}</>
)}
</p>
{/* Hover tooltip (matches the app's other chart tooltips) */}
{tip && (
<div
className="fixed z-50 pointer-events-none rounded-md border border-[#2a2a4a] bg-[#12121f] px-2.5 py-1.5 text-xs shadow-xl"
style={{
left: tip.x > window.innerWidth - 220 ? tip.x - 14 : tip.x + 14,
top: tip.y - 10,
transform: tip.x > window.innerWidth - 220 ? "translateX(-100%)" : undefined,
}}
>
<div className="font-medium text-fg-primary">{tip.title}</div>
<div className="mt-0.5 text-fg-secondary">{tip.detail}</div>
</div>
)}
</div>
);
}
@@ -0,0 +1,270 @@
/**
* @file ErrorPropagationMap.tsx
* @description A React component that visualizes error propagation across agent hierarchies in a workflow system. It displays the distribution of errors by hierarchy depth, identifies error-prone agent types, and highlights API and session errors. The component uses horizontal bars to represent error counts at different depths and types, providing an intuitive overview of where errors are occurring within the agent structure.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
* MODULE_GUIDE — extended in-file reference (comments only; safe to read, never executed)
* =============================================================================
* **Purpose:** Workflow analytics visualization built on D3; consumes aggregated session/run metrics from the workflows API.
*
* ## Design constraints
* - Local-first: no telemetry leaves the machine unless the user configures webhooks.
* - Fail-safe hooks path on the server must never block Claude Code; UI mirrors that
* philosophy by degrading gracefully (empty states, stale badges, reconnect loops).
* - Destructive flows stay behind explicit confirmation modals and server-side gates.
* - Internationalization: user-visible strings belong in i18n JSON, not literals here.
*
* ## Remote data & SSH
* Remote Data Sources let operators aggregate multiple machines. SSH entries describe
* how to reach a peer dashboard; the global data scope (`dataScope.ts`) narrows every
* scoped GET via `?sources=`. Health checks and import history surface in Settings.
*
* ## Internal dependencies
* - `../../lib/types`
*
* ## Public surface
* - `ErrorPropagationMapProps` — exported API; see TSDoc on the symbol for behavior.
* - `ErrorPropagationMap` — exported API; see TSDoc on the symbol for behavior.
*
* ## Testing pointers
* - Prefer colocated `__tests__` with Vitest + Testing Library for UI.
* - Server contract changes require `npm run test:server` and OpenAPI sync.
* - MCP edits: `npm run mcp:typecheck` and `npm run mcp:build`.
*
* ## Related docs
* - `ARCHITECTURE.md` — hooks → API → SQLite → WebSocket → UI pipeline.
* - `docs/API.md` — REST reference.
* - `skills/file-headers/` — mandatory `@author` header policy.
* ============================================================================= */
/* -----------------------------------------------------------------------------
* EXPORT CATALOG — quick index of symbols defined below (documentation only).
* -----------------------------------------------------------------------------
* **ErrorPropagationMapProps**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* **ErrorPropagationMap**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* ----------------------------------------------------------------------------- */
import { useState } from "react";
import { useTranslation } from "react-i18next";
import type { ErrorPropagationData } from "../../lib/types";
const DEPTH_COLORS = ["#ef4444", "#f97316", "#eab308", "#a855f7"];
// ── Component ─────────────────────────────────────────────────────────────────
export interface ErrorPropagationMapProps {
data: ErrorPropagationData;
}
export function ErrorPropagationMap({ data }: ErrorPropagationMapProps) {
const { t } = useTranslation("workflows");
const [hoveredDepth, setHoveredDepth] = useState<number | null>(null);
function depthLabel(depth: number): string {
const keys = [
t("errorPropagation.depthLabels.sessionMain"),
t("errorPropagation.depthLabels.directSubagent"),
t("errorPropagation.depthLabels.nested"),
t("errorPropagation.depthLabels.deep"),
];
return keys[depth] ?? `${t("common:depth")} ${depth}`;
}
const hasErrors =
data.byDepth.some((d) => d.count > 0) ||
data.byType.some((t) => t.count > 0) ||
(data.eventErrors && data.eventErrors.length > 0) ||
data.sessionsWithErrors > 0;
if (!hasErrors) {
return (
<div className="flex flex-col items-center justify-center py-16 gap-3">
<div className="w-12 h-12 rounded-full bg-status-success/10 border border-status-success/20 flex items-center justify-center">
<svg
width="24"
height="24"
viewBox="0 0 24 24"
fill="none"
stroke="#10b981"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
>
<path d="M22 11.08V12a10 10 0 1 1-5.93-9.14" />
<polyline points="22 4 12 14.01 9 11.01" />
</svg>
</div>
<span className="text-sm text-status-success font-medium">
{t("errorPropagation.noErrors")}
</span>
<span className="text-xs text-fg-muted">{t("errorPropagation.allSuccess")}</span>
</div>
);
}
const errorRatePct = data.errorRate;
const totalErrors = data.byDepth.reduce((s, d) => s + d.count, 0);
const maxDepthCount = Math.max(...data.byDepth.map((d) => d.count), 1);
const topTypes = [...data.byType].sort((a, b) => b.count - a.count).slice(0, 6);
const hasDepthData = data.byDepth.some((d) => d.count > 0);
return (
<div className="flex flex-col gap-4">
{/* Error rate summary bar */}
<div className="flex items-center gap-3 p-3 rounded-xl bg-status-danger/5 border border-status-danger/15">
<div className="flex-shrink-0 min-w-[2.75rem] h-10 px-2 rounded-lg bg-status-danger/10 border border-status-danger/20 flex items-center justify-center">
<span className="text-[13px] font-bold text-status-danger tabular-nums whitespace-nowrap">
{errorRatePct}%
</span>
</div>
<div className="min-w-0 flex-1">
<p className="text-xs font-medium text-status-danger">
{t("errorPropagation.sessionsErrorSummary", {
errorSessions: data.sessionsWithErrors,
totalSessions: data.totalSessions,
})}
</p>
<p className="text-[11px] text-fg-muted mt-0.5">
{totalErrors > 0
? `${totalErrors}${t("errorPropagation.agentErrors")}`
: t("errorPropagation.sessionErrorsOnly")}
</p>
</div>
</div>
{/* Errors by depth - horizontal bars */}
{hasDepthData && (
<div>
<p className="text-[10px] font-medium text-fg-muted uppercase tracking-wider mb-2.5">
{t("errorPropagation.errorsByDepth")}
</p>
<div className="flex flex-col gap-1.5">
{data.byDepth
.filter((d) => d.count > 0)
.map((d) => {
const pct = (d.count / maxDepthCount) * 100;
const color = DEPTH_COLORS[d.depth] ?? DEPTH_COLORS[DEPTH_COLORS.length - 1];
const isHovered = hoveredDepth === d.depth;
return (
<div
key={d.depth}
className="flex items-center gap-2.5 group"
onMouseEnter={() => setHoveredDepth(d.depth)}
onMouseLeave={() => setHoveredDepth(null)}
>
<span className="text-[11px] text-fg-muted w-24 flex-shrink-0 text-right truncate">
{depthLabel(d.depth)}
</span>
<div className="flex-1 h-5 bg-surface-3 rounded overflow-hidden relative">
<div
className="h-full rounded transition-all duration-300"
style={{
width: `${Math.max(pct, 4)}%`,
backgroundColor: color,
opacity: isHovered ? 1 : 0.75,
}}
/>
</div>
<span
className="text-xs font-semibold tabular-nums w-7 text-right transition-colors"
style={{ color: isHovered ? color : "#9ca3af" }}
>
{d.count}
</span>
</div>
);
})}
</div>
</div>
)}
{/* Error-prone agent types */}
{topTypes.length > 0 && (
<div>
<p className="text-[10px] font-medium text-fg-muted uppercase tracking-wider mb-2.5">
{t("errorPropagation.errorProneTypes")}
</p>
<div className="flex flex-col gap-1">
{topTypes.map((t, i) => {
const maxCount = topTypes[0]?.count ?? 1;
const pct = (t.count / maxCount) * 100;
return (
<div
key={t.subagent_type}
className="flex items-center gap-2.5 px-2.5 py-1.5 rounded-lg hover:bg-surface-3/50 transition-colors"
>
<span
className="w-1.5 h-1.5 rounded-full flex-shrink-0"
style={{ backgroundColor: DEPTH_COLORS[Math.min(i, DEPTH_COLORS.length - 1)] }}
/>
<span className="text-xs text-fg-secondary truncate flex-1 min-w-0">
{t.subagent_type}
</span>
<div className="w-16 h-1.5 bg-surface-4 rounded-full overflow-hidden flex-shrink-0">
<div
className="h-full rounded-full bg-status-danger/60"
style={{ width: `${Math.max(pct, 8)}%` }}
/>
</div>
<span className="text-[11px] font-semibold text-status-danger tabular-nums w-5 text-right flex-shrink-0">
{t.count}
</span>
</div>
);
})}
</div>
</div>
)}
{/* API & session errors */}
{data.eventErrors && data.eventErrors.length > 0 && (
<div>
<p className="text-[10px] font-medium text-fg-muted uppercase tracking-wider mb-2.5">
{t("errorPropagation.apiSessionErrors")}
</p>
<div className="flex flex-col gap-1">
{data.eventErrors.map((e) => (
<div
key={e.summary}
className="flex items-center gap-2.5 px-2.5 py-2 rounded-lg bg-status-warning/5 border border-status-warning/10 hover:border-status-warning/20 transition-colors"
>
<svg
width="14"
height="14"
viewBox="0 0 24 24"
fill="none"
stroke="#f59e0b"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
className="flex-shrink-0"
>
<path d="M10.29 3.86L1.82 18a2 2 0 0 0 1.71 3h16.94a2 2 0 0 0 1.71-3L13.71 3.86a2 2 0 0 0-3.42 0z" />
<line x1="12" y1="9" x2="12" y2="13" />
<line x1="12" y1="17" x2="12.01" y2="17" />
</svg>
<span
className="text-xs text-fg-secondary truncate flex-1 min-w-0"
title={e.summary}
>
{e.summary}
</span>
<span className="flex-shrink-0 text-[11px] font-semibold text-status-warning tabular-nums">
{e.count}x
</span>
</div>
))}
</div>
</div>
)}
</div>
);
}
@@ -1,41 +1,41 @@
/**
* @file LanePipelinePanel.tsx
* @description Read-only view of this dashboard's OWN pipelines on the Workflows
* page: a horizontally scrolling strip of lane tiles, and the selected lane's
* pipeline map underneath. It reuses the Workspace's `LaneStripCard` and
* `PipelineMap` so a stage reads identically on both pages. Read-only on
* purpose — the console-never-writes-a-stage boundary applies here too, so this
* panel only observes; every lane action stays on the Workspace page.
* @description How often each node of this dashboard's OWN pipelines actually
* gets passed, aggregated over every lane and every archived feature by
* `GET /api/lanes/pipeline-stats`. One row per node: a bar split into passed
* with evidence / passed without / failed, plus the raw counts, so a stage that
* everyone claims but nobody proves is visible at a glance. Read-only — the
* live per-lane view and every lane action stay on the Workspace page.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
import { useCallback, useEffect, useState } from "react";
import { Link } from "react-router-dom";
import { useTranslation } from "react-i18next";
import { ExternalLink } from "lucide-react";
import { api } from "../../lib/api";
import { eventBus } from "../../lib/eventBus";
import type { Lane } from "../../lib/types";
import LaneStripCard from "../lanes/LaneStripCard";
import PipelineMap from "../lanes/PipelineMap";
import type { PipelineStats } from "../../lib/types";
/** Percentage of `n` out of `total`, 0 when nothing was recorded. */
function pct(n: number, total: number): number {
return total > 0 ? (n / total) * 100 : 0;
}
/**
* Lane strip plus the selected lane's pipeline map.
* @returns The panel element; an empty-state hint when no lane exists yet.
* Per-node pass statistics for the selected pipeline template.
* @returns The panel element, or an empty-state hint when nothing was recorded.
*/
export function LanePipelinePanel() {
const { t } = useTranslation(["workflows", "lanes"]);
const [lanes, setLanes] = useState<Lane[]>([]);
const [selectedId, setSelectedId] = useState<number | null>(null);
const { t } = useTranslation("workflows");
const [data, setData] = useState<PipelineStats | null>(null);
const [selectedId, setSelectedId] = useState<string | null>(null);
const [error, setError] = useState<string | null>(null);
const refresh = useCallback(async () => {
try {
const r = await api.lanes.list();
setLanes(r.lanes);
setData(await api.lanes.pipelineStats());
setError(null);
} catch (err) {
setError(err instanceof Error ? err.message : t("workflows:failedLoad"));
setError(err instanceof Error ? err.message : t("failedLoad"));
}
}, [t]);
@@ -43,7 +43,7 @@ export function LanePipelinePanel() {
void refresh();
}, [refresh]);
// Lanes move as hooks land; debounce so a burst of events costs one fetch.
// Stages move as agents declare them; debounce so a burst costs one fetch.
useEffect(() => {
let timer: ReturnType<typeof setTimeout>;
const unsub = eventBus.subscribe(() => {
@@ -56,53 +56,106 @@ export function LanePipelinePanel() {
};
}, [refresh]);
// Follow the list rather than pinning an id: a lane can be removed elsewhere.
const selected = lanes.find((l) => l.id === selectedId) ?? lanes[0] ?? null;
if (error) return <p className="text-xs text-status-danger">{error}</p>;
if (!data) return null;
if (!lanes.length) {
// Follow the list rather than pinning an id: templates can come and go.
const selected = data.pipelines.find((p) => p.id === selectedId) ?? data.pipelines[0] ?? null;
if (!selected) {
return (
<p className="text-sm text-fg-muted">
{t("lanes:emptyState")} <code>ccam lanes add --cwd $(pwd)</code>
{t("lanes.empty")} <code>ccam lanes add --cwd $(pwd)</code>
</p>
);
}
const maxEntered = Math.max(...selected.nodes.map((n) => n.entered), 1);
return (
<div className="space-y-3">
<div data-testid="workflows-lane-strip" className="flex flex-row gap-2 overflow-x-auto pb-1">
{lanes.map((l) => (
<LaneStripCard
key={l.id}
lane={l}
selected={selected?.id === l.id}
onSelect={() => setSelectedId(l.id)}
/>
))}
<div className="flex flex-wrap items-center gap-2">
{data.pipelines.length > 1 && (
<select
data-testid="pipeline-stats-picker"
aria-label={t("lanes.pipelineLabel")}
className="rounded border border-border bg-surface-1 px-2 py-0.5 text-xs text-fg-secondary"
value={selected.id}
onChange={(e) => setSelectedId(e.target.value)}
>
{data.pipelines.map((p) => (
<option key={p.id} value={p.id}>
{p.name}
</option>
))}
</select>
)}
<span className="text-xs text-fg-muted">{t("lanes.runs", { count: selected.runs })}</span>
<div className="ml-auto flex items-center gap-3 text-[10px] text-fg-muted">
<LegendSwatch className="bg-status-success" label={t("lanes.legendEvidence")} />
<LegendSwatch className="bg-status-warning" label={t("lanes.legendClaimed")} />
<LegendSwatch className="bg-status-danger" label={t("lanes.legendFailed")} />
</div>
</div>
{selected && (
<div data-testid="workflows-lane-pipeline" className="space-y-2">
<div className="flex flex-wrap items-center gap-2">
<span className="truncate text-sm font-semibold text-fg-primary">
{t("lanes:laneHeader", {
id: selected.id,
title: selected.title || selected.cwd,
pipeline: selected.pipeline_name,
})}
</span>
<Link
to="/run"
className="ml-auto inline-flex items-center gap-1 text-xs text-fg-muted hover:text-accent"
<div className="space-y-1.5">
{selected.nodes.map((n) => {
const rate = pct(n.passed, n.entered);
return (
<div
key={n.id}
data-testid={`pipeline-stat-${n.id}`}
className="flex items-center gap-2 text-xs"
>
{t("workflows:lanes.openWorkspace")}
<ExternalLink className="h-3 w-3" />
</Link>
</div>
<PipelineMap nodes={selected.pipeline_nodes} detectedSignal={selected.detected_signal} />
</div>
)}
<span className="w-36 shrink-0 truncate text-fg-secondary" title={n.label}>
<span className="mr-1">{n.icon}</span>
{n.label}
</span>
{/* Bars are scaled against the busiest node, not against each
node's own total, so a node reached twice never looks as
travelled as one reached fifty times. */}
<div className="flex h-2.5 flex-1 overflow-hidden rounded-full bg-surface-3">
<div
className="h-full bg-status-success"
style={{ width: `${pct(n.withEvidence, maxEntered)}%` }}
title={t("lanes.legendEvidence")}
/>
<div
className="h-full bg-status-warning"
style={{ width: `${pct(n.passed - n.withEvidence, maxEntered)}%` }}
title={t("lanes.legendClaimed")}
/>
<div
className="h-full bg-status-danger"
style={{ width: `${pct(n.failed, maxEntered)}%` }}
title={t("lanes.legendFailed")}
/>
</div>
<span className="w-28 shrink-0 text-right tabular-nums text-fg-muted">
{n.entered === 0 ? (
t("lanes.never")
) : (
<>
<span className="text-fg-secondary">{n.passed}</span>/{n.entered}
<span className="ml-1">({Math.round(rate)}%)</span>
</>
)}
</span>
</div>
);
})}
</div>
</div>
);
}
function LegendSwatch({ className, label }: { className: string; label: string }) {
return (
<span className="flex items-center gap-1">
<span className={`h-2 w-2 rounded-sm ${className}`} />
{label}
</span>
);
}
@@ -0,0 +1,532 @@
/**
* @file ModelDelegationFlow.tsx
* @description Defines the ModelDelegationFlow React component that visualizes the relationships between main models and subagent models in a flow diagram using D3.js. The component takes model delegation data as input and renders an SVG diagram that shows how different models are connected based on their usage in agents and sessions. It categorizes models into families (opus, sonnet, haiku, other) for color-coding and provides a clear visual representation of model delegation patterns.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
* MODULE_GUIDE — extended in-file reference (comments only; safe to read, never executed)
* =============================================================================
* **Purpose:** Workflow analytics visualization built on D3; consumes aggregated session/run metrics from the workflows API.
*
* ## Design constraints
* - Local-first: no telemetry leaves the machine unless the user configures webhooks.
* - Fail-safe hooks path on the server must never block Claude Code; UI mirrors that
* philosophy by degrading gracefully (empty states, stale badges, reconnect loops).
* - Destructive flows stay behind explicit confirmation modals and server-side gates.
* - Internationalization: user-visible strings belong in i18n JSON, not literals here.
*
* ## Remote data & SSH
* Remote Data Sources let operators aggregate multiple machines. SSH entries describe
* how to reach a peer dashboard; the global data scope (`dataScope.ts`) narrows every
* scoped GET via `?sources=`. Health checks and import history surface in Settings.
*
* ## Internal dependencies
* - `../../lib/types`
* - `../../lib/format`
*
* ## Public surface
* - `ModelDelegationFlowProps` — exported API; see TSDoc on the symbol for behavior.
* - `ModelDelegationFlow` — exported API; see TSDoc on the symbol for behavior.
*
* ## Testing pointers
* - Prefer colocated `__tests__` with Vitest + Testing Library for UI.
* - Server contract changes require `npm run test:server` and OpenAPI sync.
* - MCP edits: `npm run mcp:typecheck` and `npm run mcp:build`.
*
* ## Related docs
* - `ARCHITECTURE.md` — hooks → API → SQLite → WebSocket → UI pipeline.
* - `docs/API.md` — REST reference.
* - `skills/file-headers/` — mandatory `@author` header policy.
* ============================================================================= */
/* -----------------------------------------------------------------------------
* EXPORT CATALOG — quick index of symbols defined below (documentation only).
* -----------------------------------------------------------------------------
* **ModelDelegationFlowProps**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* **ModelDelegationFlow**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* ----------------------------------------------------------------------------- */
import { useRef, useEffect, useCallback } from "react";
import { useTranslation } from "react-i18next";
import * as d3 from "d3";
import type { ModelDelegationData } from "../../lib/types";
import { formatModelName } from "../../lib/format";
// ── Helpers ───────────────────────────────────────────────────────────────────
function modelFamily(name: string): "opus" | "sonnet" | "haiku" | "other" {
const lower = name.toLowerCase();
if (lower.includes("opus")) return "opus";
if (lower.includes("sonnet")) return "sonnet";
if (lower.includes("haiku")) return "haiku";
return "other";
}
function fmtTokens(n: number): string {
if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(1)}M`;
if (n >= 1_000) return `${(n / 1_000).toFixed(0)}K`;
return String(n);
}
// Model formatting is handled by the shared formatModelName utility.
// ── Color palette per model family ───────────────────────────────────────────
const FAMILY_COLORS = {
opus: {
grad: ["#7c3aed", "#a855f7"] as [string, string],
stroke: "#a855f7",
text: "#e9d5ff",
badge: "rgba(168,85,247,0.15)",
},
sonnet: {
grad: ["#1d4ed8", "#3b82f6"] as [string, string],
stroke: "#3b82f6",
text: "#bfdbfe",
badge: "rgba(59,130,246,0.15)",
},
haiku: {
grad: ["#065f46", "#10b981"] as [string, string],
stroke: "#10b981",
text: "#a7f3d0",
badge: "rgba(16,185,129,0.15)",
},
other: {
grad: ["#374151", "#6b7280"] as [string, string],
stroke: "#6b7280",
text: "#d1d5db",
badge: "rgba(107,114,128,0.15)",
},
} as const;
// ── Types used internally ─────────────────────────────────────────────────────
interface NodeDatum {
id: string;
label: string;
family: "opus" | "sonnet" | "haiku" | "other";
agentCount: number;
sessionCount: number;
totalTokens: number;
side: "main" | "sub";
x: number;
y: number;
}
interface EdgeDatum {
sourceId: string;
targetId: string;
}
type ShowTipFn = (node: NodeDatum, anchor: SVGGraphicsElement) => void;
type HideTipFn = () => void;
// ── D3 chart renderer ─────────────────────────────────────────────────────────
const NODE_W = 160;
const NODE_H = 80;
const NODE_RX = 10;
const COL_GAP = 200;
const ROW_GAP = 108;
const PADDING = { top: 40, left: 24, right: 24, bottom: 24 };
function renderFlow(
svg: SVGSVGElement,
mainNodes: NodeDatum[],
subNodes: NodeDatum[],
edges: EdgeDatum[],
t: (key: string, options?: Record<string, unknown>) => string,
showTip: ShowTipFn,
hideTip: HideTipFn
): void {
const allNodes = [...mainNodes, ...subNodes];
const totalRows = Math.max(mainNodes.length, subNodes.length);
const chartH = totalRows * ROW_GAP + PADDING.top + PADDING.bottom;
const chartW = NODE_W * 2 + COL_GAP + PADDING.left + PADDING.right;
const root = d3.select(svg);
root.selectAll("*").remove();
root.attr("viewBox", `0 0 ${chartW} ${chartH}`).attr("preserveAspectRatio", "xMidYMid meet");
const defs = root.append("defs");
// Gradient defs per family
(["opus", "sonnet", "haiku", "other"] as const).forEach((fam) => {
const colors = FAMILY_COLORS[fam];
const grad = defs
.append("linearGradient")
.attr("id", `flow-grad-${fam}`)
.attr("x1", "0%")
.attr("y1", "0%")
.attr("x2", "100%")
.attr("y2", "100%");
grad.append("stop").attr("offset", "0%").attr("stop-color", colors.grad[0]);
grad.append("stop").attr("offset", "100%").attr("stop-color", colors.grad[1]);
});
const g = root.append("g");
// Column labels
const labelY = PADDING.top - 16;
g.append("text")
.attr("x", PADDING.left + NODE_W / 2)
.attr("y", labelY)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", 11)
.attr("font-family", "Inter, sans-serif")
.attr("letter-spacing", "0.08em")
.text(t("modelDelegation.mainModels"));
g.append("text")
.attr("x", PADDING.left + NODE_W + COL_GAP + NODE_W / 2)
.attr("y", labelY)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", 11)
.attr("font-family", "Inter, sans-serif")
.attr("letter-spacing", "0.08em")
.text(t("modelDelegation.subagentModels"));
// Build lookup for node positions
const nodeMap = new Map<string, NodeDatum>(allNodes.map((n) => [n.id, n]));
// Draw edges (cubic bezier curves)
edges.forEach(({ sourceId, targetId }) => {
const src = nodeMap.get(sourceId);
const tgt = nodeMap.get(targetId);
if (!src || !tgt) return;
const x1 = src.x + NODE_W;
const y1 = src.y + NODE_H / 2;
const x2 = tgt.x;
const y2 = tgt.y + NODE_H / 2;
const cx = (x1 + x2) / 2;
g.append("path")
.attr("d", `M${x1},${y1} C${cx},${y1} ${cx},${y2} ${x2},${y2}`)
.attr("fill", "none")
.attr("stroke", "#2a2a3d")
.attr("stroke-width", 1.5)
.attr("opacity", 0.7);
});
// Draw nodes
allNodes.forEach((node) => {
const colors = FAMILY_COLORS[node.family];
const ng = g
.append("g")
.attr("transform", `translate(${node.x},${node.y})`)
.style("cursor", "default")
.on("mouseenter", function () {
showTip(node, this as SVGGraphicsElement);
})
.on("mouseleave", () => hideTip());
// Border glow rect (slightly larger)
ng.append("rect")
.attr("x", -1)
.attr("y", -1)
.attr("width", NODE_W + 2)
.attr("height", NODE_H + 2)
.attr("rx", NODE_RX + 1)
.attr("fill", "none")
.attr("stroke", colors.stroke)
.attr("stroke-width", 1)
.attr("opacity", 0.25);
// Main rect with gradient
ng.append("rect")
.attr("width", NODE_W)
.attr("height", NODE_H)
.attr("rx", NODE_RX)
.attr("fill", `url(#flow-grad-${node.family})`)
.attr("fill-opacity", 0.18)
.attr("stroke", colors.stroke)
.attr("stroke-width", 1);
// Model name
ng.append("text")
.attr("x", 12)
.attr("y", 22)
.attr("fill", colors.text)
.attr("font-size", 11)
.attr("font-weight", "600")
.attr("font-family", "Inter, sans-serif")
.text(formatModelName(node.label) ?? node.label);
// Agent count pill
ng.append("rect")
.attr("x", 10)
.attr("y", 32)
.attr("width", 64)
.attr("height", 16)
.attr("rx", 4)
.attr("fill", colors.badge);
ng.append("text")
.attr("x", 42)
.attr("y", 43.5)
.attr("text-anchor", "middle")
.attr("fill", colors.text)
.attr("font-size", 9.5)
.attr("font-family", "Inter, sans-serif")
.text(t("modelDelegation.agentsCount", { count: node.agentCount }));
// Token count
if (node.totalTokens > 0) {
ng.append("text")
.attr("x", 12)
.attr("y", 66)
.attr("fill", "#6b7280")
.attr("font-size", 9.5)
.attr("font-family", "Inter, sans-serif")
.text(t("modelDelegation.tokensCount", { tokens: fmtTokens(node.totalTokens) }));
}
// Session count (main nodes only)
if (node.side === "main" && node.sessionCount > 0) {
ng.append("text")
.attr("x", NODE_W - 10)
.attr("y", 66)
.attr("text-anchor", "end")
.attr("fill", "#6b7280")
.attr("font-size", 9.5)
.attr("font-family", "Inter, sans-serif")
.text(t("modelDelegation.sessionsCount", { count: node.sessionCount }));
}
});
}
// ── Component ─────────────────────────────────────────────────────────────────
export interface ModelDelegationFlowProps {
data: ModelDelegationData;
}
export function ModelDelegationFlow({ data }: ModelDelegationFlowProps) {
const { t } = useTranslation("workflows");
const svgRef = useRef<SVGSVGElement>(null);
const containerRef = useRef<HTMLDivElement>(null);
const tipRef = useRef<HTMLDivElement>(null);
const hasData = data.mainModels.length > 0 || data.subagentModels.length > 0;
const totalAgents = countTotalAgents(data);
const hideTip = useCallback(() => {
const tip = tipRef.current;
if (tip) tip.style.opacity = "0";
}, []);
const showTip = useCallback(
(node: NodeDatum, anchor: SVGGraphicsElement) => {
const tip = tipRef.current;
if (!tip) return;
buildModelDelegationTooltip(tip, node, totalAgents, t);
const r = anchor.getBoundingClientRect();
tip.style.opacity = "0";
tip.style.display = "block";
const tipW = tip.offsetWidth || 280;
const tipH = tip.offsetHeight || 160;
const margin = 8;
let left = r.left + r.width / 2 - tipW / 2;
if (left < margin) left = margin;
if (left + tipW > window.innerWidth - margin) left = window.innerWidth - tipW - margin;
let top = r.top - tipH - 10;
if (top < margin) top = r.bottom + 10;
tip.style.left = `${left}px`;
tip.style.top = `${top}px`;
tip.style.opacity = "1";
},
[totalAgents, t]
);
useEffect(() => {
if (!svgRef.current || !hasData) return;
const tokenMap = new Map<string, number>();
data.tokensByModel.forEach(({ model, input_tokens, output_tokens }) => {
tokenMap.set(model, (tokenMap.get(model) ?? 0) + input_tokens + output_tokens);
});
const mainNodes: NodeDatum[] = data.mainModels.map((m, i) => ({
id: `main-${m.model}`,
label: formatModelName(m.model) ?? m.model,
family: modelFamily(m.model),
agentCount: m.agent_count,
sessionCount: m.session_count,
totalTokens: tokenMap.get(m.model) ?? 0,
side: "main",
x: PADDING.left,
y: PADDING.top + i * ROW_GAP,
}));
const subNodes: NodeDatum[] = data.subagentModels.map((m, i) => ({
id: `sub-${m.model}`,
label: formatModelName(m.model) ?? m.model,
family: modelFamily(m.model),
agentCount: m.agent_count,
sessionCount: 0,
totalTokens: tokenMap.get(m.model) ?? 0,
side: "sub",
x: PADDING.left + NODE_W + COL_GAP,
y: PADDING.top + i * ROW_GAP,
}));
// Connect all main models to all subagent models that share a family, or all if no match
const edges: EdgeDatum[] = [];
mainNodes.forEach((mn) => {
subNodes.forEach((sn) => {
edges.push({ sourceId: mn.id, targetId: sn.id });
});
});
renderFlow(svgRef.current, mainNodes, subNodes, edges, t, showTip, hideTip);
hideTip();
}, [data, hasData, t, showTip, hideTip]);
if (!hasData) {
return (
<div className="flex flex-col items-center justify-center py-16 gap-3 text-fg-muted">
<svg
width="40"
height="40"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
strokeWidth="1.5"
aria-hidden="true"
>
<circle cx="12" cy="12" r="10" />
<path d="M12 8v4M12 16h.01" />
</svg>
<span className="text-sm">{t("modelDelegation.noData")}</span>
</div>
);
}
return (
<div ref={containerRef} className="w-full overflow-x-auto relative" onMouseLeave={hideTip}>
<svg
ref={svgRef}
className="w-full"
style={{ minHeight: 120 }}
aria-label={t("modelDelegation.ariaLabel")}
role="img"
/>
<div
ref={tipRef}
role="tooltip"
aria-hidden="true"
className="fixed z-50 px-3 py-2 rounded-lg shadow-2xl pointer-events-none"
style={{
display: "none",
opacity: 0,
left: 0,
top: 0,
background: "#12121f",
border: "1px solid #2a2a4a",
color: "#e2e8f0",
minWidth: 240,
maxWidth: 320,
transition: "opacity 120ms ease-out",
}}
/>
</div>
);
}
// ── Tooltip helpers ───────────────────────────────────────────────────────────
function countTotalAgents(data: ModelDelegationData): number {
const mainSum = data.mainModels.reduce((s, m) => s + m.agent_count, 0);
const subSum = data.subagentModels.reduce((s, m) => s + m.agent_count, 0);
return mainSum + subSum;
}
type TFn = (key: string, options?: Record<string, unknown>) => string;
function describeFamily(family: NodeDatum["family"], t: TFn): string {
switch (family) {
case "opus":
return t("modelDelegation.tooltip.family.opus");
case "sonnet":
return t("modelDelegation.tooltip.family.sonnet");
case "haiku":
return t("modelDelegation.tooltip.family.haiku");
case "other":
return t("modelDelegation.tooltip.family.other");
}
}
function buildModelDelegationTooltip(
el: HTMLDivElement,
node: NodeDatum,
totalAgents: number,
t: TFn
) {
while (el.firstChild) el.removeChild(el.firstChild);
const sharePct = totalAgents > 0 ? `${((node.agentCount / totalAgents) * 100).toFixed(1)}%` : "-";
const sideLabel =
node.side === "main"
? t("modelDelegation.tooltip.mainModel")
: t("modelDelegation.tooltip.subagentModel");
const title = document.createElement("p");
title.style.cssText = "font-size:12px;font-weight:600;color:#e2e8f0;margin:0";
title.textContent = node.label;
el.appendChild(title);
const subtitle = document.createElement("p");
subtitle.style.cssText =
"font-size:10px;color:#64748b;margin:2px 0 8px;text-transform:uppercase;letter-spacing:0.05em";
subtitle.textContent = `${sideLabel} · ${node.family}`;
el.appendChild(subtitle);
const addRow = (label: string, value: string) => {
const row = document.createElement("div");
row.style.cssText =
"display:flex;justify-content:space-between;gap:16px;font-size:11px;line-height:1.6";
const lbl = document.createElement("span");
lbl.style.color = "#64748b";
lbl.textContent = label;
const val = document.createElement("span");
val.style.cssText = "color:#cbd5e1;font-weight:500;font-variant-numeric:tabular-nums";
val.textContent = value;
row.appendChild(lbl);
row.appendChild(val);
el.appendChild(row);
};
addRow(t("modelDelegation.tooltip.agentRuns"), node.agentCount.toLocaleString());
addRow(t("modelDelegation.tooltip.shareOfAll"), sharePct);
if (node.side === "main") {
addRow(t("modelDelegation.tooltip.sessionsOnModel"), String(node.sessionCount));
}
addRow(t("modelDelegation.tooltip.totalTokens"), node.totalTokens.toLocaleString());
const desc = document.createElement("p");
desc.style.cssText =
"font-size:11px;color:#94a3b8;line-height:1.45;border-top:1px solid #2a2a4a;padding-top:8px;margin:8px 0 0";
desc.textContent = describeFamily(node.family, t);
el.appendChild(desc);
const hint = document.createElement("p");
hint.style.cssText = "font-size:11px;color:#64748b;line-height:1.45;margin:6px 0 0";
hint.textContent =
node.side === "main"
? t("modelDelegation.tooltip.lines.main")
: t("modelDelegation.tooltip.lines.sub");
el.appendChild(hint);
}
@@ -0,0 +1,394 @@
/**
* @file SessionComplexityScatter.tsx
* @description A React component that renders a scatter plot visualization of session complexity using D3.js. Each session is represented as a bubble, where the x-axis represents the session duration, the y-axis represents the number of agents involved, and the size of the bubble corresponds to the total tokens used. The color of each bubble indicates the session status (e.g., completed, active, error, abandoned). The component also includes tooltips for detailed information on hover and a legend for status colors. It is designed to be responsive and provides an empty state when no data is available.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
* MODULE_GUIDE — extended in-file reference (comments only; safe to read, never executed)
* =============================================================================
* **Purpose:** Workflow analytics visualization built on D3; consumes aggregated session/run metrics from the workflows API.
*
* ## Design constraints
* - Local-first: no telemetry leaves the machine unless the user configures webhooks.
* - Fail-safe hooks path on the server must never block Claude Code; UI mirrors that
* philosophy by degrading gracefully (empty states, stale badges, reconnect loops).
* - Destructive flows stay behind explicit confirmation modals and server-side gates.
* - Internationalization: user-visible strings belong in i18n JSON, not literals here.
*
* ## Remote data & SSH
* Remote Data Sources let operators aggregate multiple machines. SSH entries describe
* how to reach a peer dashboard; the global data scope (`dataScope.ts`) narrows every
* scoped GET via `?sources=`. Health checks and import history surface in Settings.
*
* ## Internal dependencies
* - `../../lib/types`
* - `../../lib/format`
*
* ## Public surface
* - `SessionComplexityScatterProps` — exported API; see TSDoc on the symbol for behavior.
* - `SessionComplexityScatter` — exported API; see TSDoc on the symbol for behavior.
*
* ## Testing pointers
* - Prefer colocated `__tests__` with Vitest + Testing Library for UI.
* - Server contract changes require `npm run test:server` and OpenAPI sync.
* - MCP edits: `npm run mcp:typecheck` and `npm run mcp:build`.
*
* ## Related docs
* - `ARCHITECTURE.md` — hooks → API → SQLite → WebSocket → UI pipeline.
* - `docs/API.md` — REST reference.
* - `skills/file-headers/` — mandatory `@author` header policy.
* ============================================================================= */
/* -----------------------------------------------------------------------------
* EXPORT CATALOG — quick index of symbols defined below (documentation only).
* -----------------------------------------------------------------------------
* **SessionComplexityScatterProps**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* **SessionComplexityScatter**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* ----------------------------------------------------------------------------- */
import { useRef, useEffect, useState, useCallback } from "react";
import { useTranslation } from "react-i18next";
import * as d3 from "d3";
import type { SessionComplexityItem } from "../../lib/types";
import { formatModelName } from "../../lib/format";
// ── Constants ─────────────────────────────────────────────────────────────────
const MARGIN = { top: 20, right: 24, bottom: 60, left: 52 };
const MIN_BUBBLE_R = 4;
const MAX_BUBBLE_R = 32;
const STATUS_COLOR: Record<string, string> = {
completed: "#22c55e",
error: "#ef4444",
active: "#6366f1",
abandoned: "#eab308",
};
function statusColor(status: string): string {
return STATUS_COLOR[status] ?? "#6b7280";
}
// ── Duration formatting ───────────────────────────────────────────────────────
function formatDurationSec(sec: number): string {
if (sec < 60) return `${Math.round(sec)}s`;
const h = Math.floor(sec / 3600);
const m = Math.floor((sec % 3600) / 60);
if (h > 0) return `${h}h ${m}m`;
const s = Math.round(sec % 60);
return s > 0 ? `${m}m ${s}s` : `${m}m`;
}
function fmtXTick(sec: number): string {
if (sec === 0) return "0";
if (sec < 60) return `${Math.round(sec)}s`;
const h = Math.floor(sec / 3600);
const m = Math.floor((sec % 3600) / 60);
if (h > 0) return `${h}h ${m > 0 ? `${m}m` : ""}`;
return `${m}m`;
}
function fmtTokens(n: number): string {
if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(1)}M`;
if (n >= 1_000) return `${(n / 1_000).toFixed(0)}K`;
return String(n);
}
// ── Tooltip ───────────────────────────────────────────────────────────────────
interface TooltipState {
x: number;
y: number;
item: SessionComplexityItem;
}
function Tooltip({ state }: { state: TooltipState }) {
const { t } = useTranslation("workflows");
const nearRight = state.x > window.innerWidth - 220;
return (
<div
className="fixed z-50 px-3 py-2 text-xs bg-[#12121f] border border-[#2a2a4a] rounded-lg shadow-xl text-fg-secondary pointer-events-none whitespace-nowrap"
style={{
left: nearRight ? state.x - 12 : state.x + 12,
top: state.y - 10,
transform: nearRight ? "translateX(-100%)" : undefined,
}}
>
<p className="font-semibold text-fg-primary mb-1 truncate max-w-[180px]">
{state.item.name ?? state.item.id.slice(0, 12)}
</p>
<div className="flex flex-col gap-0.5 text-fg-secondary">
<span>
{t("complexity.tooltip.duration")} {formatDurationSec(state.item.duration)}
</span>
<span>
{t("complexity.tooltip.agents")} {state.item.agentCount}
</span>
<span>
{t("complexity.tooltip.subagents")} {state.item.subagentCount}
</span>
<span>
{t("complexity.tooltip.tokens")} {fmtTokens(state.item.totalTokens)}
</span>
{state.item.model && (
<span>
{t("complexity.tooltip.model")} {formatModelName(state.item.model)}
</span>
)}
</div>
<div className="mt-1 pt-1 border-t border-[#2a2a4a]">
<span className="font-medium" style={{ color: statusColor(state.item.status) }}>
{t(`common:status.${state.item.status}`, { defaultValue: state.item.status })}
</span>
</div>
</div>
);
}
// ── Legend ────────────────────────────────────────────────────────────────────
const LEGEND_STATUSES = ["completed", "active", "error", "abandoned"] as const;
function Legend() {
const { t } = useTranslation("workflows");
return (
<div className="flex flex-wrap items-center gap-4 justify-center mt-2">
{LEGEND_STATUSES.map((s) => (
<div key={s} className="flex items-center gap-1.5">
<span
className="w-3 h-3 rounded-full flex-shrink-0"
style={{ backgroundColor: statusColor(s) }}
/>
<span className="text-xs text-fg-muted">
{t(`common:status.${s}`, { defaultValue: s })}
</span>
</div>
))}
</div>
);
}
// ── Empty state ───────────────────────────────────────────────────────────────
function EmptyState() {
const { t } = useTranslation("workflows");
return (
<div className="flex flex-col items-center justify-center py-16 text-center">
<div className="w-10 h-10 rounded-xl bg-surface-4 flex items-center justify-center mb-3">
<svg
className="w-5 h-5 text-fg-muted"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
strokeWidth={1.5}
>
<circle cx="7" cy="12" r="3" />
<circle cx="17" cy="8" r="2" />
<circle cx="14" cy="17" r="4" />
</svg>
</div>
<p className="text-sm font-medium text-fg-secondary">{t("complexity.noData")}</p>
<p className="text-xs text-fg-muted mt-1">{t("complexity.noDataDesc")}</p>
</div>
);
}
// ── Main chart ────────────────────────────────────────────────────────────────
export interface SessionComplexityScatterProps {
data: SessionComplexityItem[];
onSessionClick?: (id: string) => void;
}
export function SessionComplexityScatter({ data, onSessionClick }: SessionComplexityScatterProps) {
const { t } = useTranslation("workflows");
const svgRef = useRef<SVGSVGElement>(null);
const containerRef = useRef<HTMLDivElement>(null);
const [tooltip, setTooltip] = useState<TooltipState | null>(null);
const [width, setWidth] = useState(600);
// Track container width for responsiveness
useEffect(() => {
const el = containerRef.current;
if (!el) return;
const obs = new ResizeObserver((entries) => {
const w = entries[0]?.contentRect.width;
if (w) setWidth(w);
});
obs.observe(el);
setWidth(el.clientWidth);
return () => obs.disconnect();
}, []);
const height = Math.max(280, Math.min(420, width * 0.5));
const handleMouseLeave = useCallback(() => setTooltip(null), []);
useEffect(() => {
if (!svgRef.current || data.length === 0) return;
const svg = d3.select(svgRef.current);
svg.selectAll("*").remove();
const innerW = width - MARGIN.left - MARGIN.right;
const innerH = height - MARGIN.top - MARGIN.bottom;
const g = svg.append("g").attr("transform", `translate(${MARGIN.left},${MARGIN.top})`);
// Scales
const xScale = d3
.scaleLinear()
.domain([0, d3.max(data, (d) => d.duration) ?? 1])
.nice()
.range([0, innerW]);
const yScale = d3
.scaleLinear()
.domain([0, (d3.max(data, (d) => d.agentCount) ?? 1) + 1])
.nice()
.range([innerH, 0]);
const rScale = d3
.scaleSqrt()
.domain([0, d3.max(data, (d) => d.totalTokens) ?? 1])
.range([MIN_BUBBLE_R, MAX_BUBBLE_R]);
// Grid lines
const gridColor = "#2a2a3d";
g.append("g")
.attr("class", "grid-x")
.call(
d3
.axisBottom(xScale)
.ticks(5)
.tickSize(-innerH)
.tickFormat(() => "")
)
.attr("transform", `translate(0,${innerH})`)
.call((sel) => {
sel.select(".domain").remove();
sel.selectAll(".tick line").attr("stroke", gridColor).attr("stroke-dasharray", "3,3");
});
g.append("g")
.attr("class", "grid-y")
.call(
d3
.axisLeft(yScale)
.ticks(5)
.tickSize(-innerW)
.tickFormat(() => "")
)
.call((sel) => {
sel.select(".domain").remove();
sel.selectAll(".tick line").attr("stroke", gridColor).attr("stroke-dasharray", "3,3");
});
// X axis
g.append("g")
.attr("transform", `translate(0,${innerH})`)
.call(
d3
.axisBottom(xScale)
.ticks(5)
.tickFormat((d) => fmtXTick(d as number))
)
.call((sel) => {
sel.select(".domain").attr("stroke", "#363650");
sel.selectAll(".tick line").attr("stroke", "#363650");
sel.selectAll(".tick text").attr("fill", "#6b7280").attr("font-size", "11");
});
// X axis label
g.append("text")
.attr("x", innerW / 2)
.attr("y", innerH + 44)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", "11")
.text(t("complexity.duration"));
// Y axis
g.append("g")
.call(d3.axisLeft(yScale).ticks(5).tickFormat(d3.format("d")))
.call((sel) => {
sel.select(".domain").attr("stroke", "#363650");
sel.selectAll(".tick line").attr("stroke", "#363650");
sel.selectAll(".tick text").attr("fill", "#6b7280").attr("font-size", "11");
});
// Y axis label
g.append("text")
.attr("transform", "rotate(-90)")
.attr("x", -innerH / 2)
.attr("y", -40)
.attr("text-anchor", "middle")
.attr("fill", "#6b7280")
.attr("font-size", "11")
.text(t("complexity.agentCount"));
// Bubbles - sort largest to back so small ones are clickable
const sorted = [...data].sort((a, b) => b.totalTokens - a.totalTokens);
g.selectAll<SVGCircleElement, SessionComplexityItem>("circle")
.data(sorted)
.join("circle")
.attr("cx", (d) => xScale(d.duration))
.attr("cy", (d) => yScale(d.agentCount))
.attr("r", (d) => rScale(d.totalTokens))
.attr("fill", (d) => statusColor(d.status))
.attr("fill-opacity", 0.75)
.attr("stroke", (d) => statusColor(d.status))
.attr("stroke-width", 1.5)
.attr("stroke-opacity", 0.9)
.style("cursor", onSessionClick ? "pointer" : "default")
.on("mouseenter", (event: MouseEvent, d) => {
d3.select(event.currentTarget as SVGCircleElement)
.attr("fill-opacity", 1)
.attr("stroke-width", 2.5);
setTooltip({ x: event.clientX, y: event.clientY, item: d });
})
.on("mousemove", (event: MouseEvent) => {
setTooltip((prev) => (prev ? { ...prev, x: event.clientX, y: event.clientY } : null));
})
.on("mouseleave", (event: MouseEvent) => {
d3.select(event.currentTarget as SVGCircleElement)
.attr("fill-opacity", 0.75)
.attr("stroke-width", 1.5);
setTooltip(null);
})
.on("click", (_event: MouseEvent, d) => {
onSessionClick?.(d.id);
});
}, [data, width, height, onSessionClick, t]);
if (data.length === 0) return <EmptyState />;
return (
<div
ref={containerRef}
className="w-full h-full flex flex-col justify-center"
onMouseLeave={handleMouseLeave}
>
<svg
ref={svgRef}
width={width}
height={height}
aria-label={t("complexity.ariaLabel")}
role="img"
/>
<Legend />
{tooltip && <Tooltip state={tooltip} />}
</div>
);
}
@@ -0,0 +1,113 @@
/**
* @file SkillUsagePanel.tsx
* @description Which skills and plugins actually get used, from
* `GET /api/workflows/skill-usage`: plugin totals as chips (skill calls + the
* plugin's own MCP tool calls) over a ranked list of individual skills with
* their call count and how many sessions reached for them. A skill that is
* installed but never invoked simply never appears — the panel reports use, not
* inventory.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
import { useCallback, useEffect, useState } from "react";
import { useTranslation } from "react-i18next";
import { api } from "../../lib/api";
import { eventBus } from "../../lib/eventBus";
import type { SkillUsage } from "../../lib/types";
export function SkillUsagePanel({ statusFilter }: { statusFilter: string }) {
const { t } = useTranslation("workflows");
const [data, setData] = useState<SkillUsage | null>(null);
const [error, setError] = useState<string | null>(null);
const refresh = useCallback(async () => {
try {
setData(await api.workflows.skillUsage(statusFilter));
setError(null);
} catch (err) {
setError(err instanceof Error ? err.message : t("failedLoad"));
}
}, [statusFilter, t]);
useEffect(() => {
void refresh();
}, [refresh]);
useEffect(() => {
let timer: ReturnType<typeof setTimeout>;
const unsub = eventBus.subscribe(() => {
clearTimeout(timer);
timer = setTimeout(() => void refresh(), 3000);
});
return () => {
unsub();
clearTimeout(timer);
};
}, [refresh]);
if (error) return <p className="text-xs text-status-danger">{error}</p>;
if (!data) return null;
if (!data.skills.length && !data.plugins.length) {
return <p className="text-sm text-fg-muted">{t("skillUsage.empty")}</p>;
}
const topCount = Math.max(...data.skills.map((s) => s.count), 1);
return (
<div className="space-y-4">
{data.plugins.length > 0 && (
<div>
<p className="mb-1.5 text-[10px] font-semibold uppercase tracking-wider text-fg-muted">
{t("skillUsage.plugins")}
</p>
<div className="flex flex-wrap gap-1.5">
{data.plugins.map((p) => (
<span
key={p.name}
data-testid={`plugin-usage-${p.name}`}
title={t("skillUsage.pluginBreakdown", {
skills: p.skills,
skillCalls: p.skillCalls,
mcpCalls: p.mcpCalls,
})}
className="rounded-full border border-border bg-surface-2 px-2.5 py-1 text-xs text-fg-secondary"
>
{p.name}
<span className="ml-1.5 tabular-nums text-accent">{p.skillCalls + p.mcpCalls}</span>
</span>
))}
</div>
</div>
)}
<div>
<p className="mb-1.5 text-[10px] font-semibold uppercase tracking-wider text-fg-muted">
{t("skillUsage.skills")}
</p>
<div className="space-y-1">
{data.skills.map((s) => (
<div
key={s.name}
data-testid={`skill-usage-${s.name}`}
className="flex items-center gap-2 text-xs"
>
<span className="w-56 shrink-0 truncate text-fg-secondary" title={s.name}>
{s.name}
</span>
<div className="h-2 flex-1 overflow-hidden rounded-full bg-surface-3">
<div
className="h-full rounded-full bg-accent"
style={{ width: `${(s.count / topCount) * 100}%` }}
/>
</div>
<span className="w-32 shrink-0 text-right tabular-nums text-fg-muted">
{t("skillUsage.calls", { count: s.count })} ·{" "}
{t("skillUsage.sessions", { count: s.sessions })}
</span>
</div>
))}
</div>
</div>
</div>
);
}
@@ -0,0 +1,395 @@
/**
* @file WorkflowPatterns.tsx
* @description Defines the WorkflowPatterns React component that visualizes common workflow patterns detected from session data. It displays a ranked list of patterns based on their frequency, showing the sequence of agent steps in each pattern along with an icon representing the type of workflow. The component also handles cases where no patterns are detected and includes a special item for solo sessions without subagents. Users can click on a pattern to trigger a callback with the pattern's steps for further analysis or filtering.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
* MODULE_GUIDE — extended in-file reference (comments only; safe to read, never executed)
* =============================================================================
* **Purpose:** Workflow analytics visualization built on D3; consumes aggregated session/run metrics from the workflows API.
*
* ## Design constraints
* - Local-first: no telemetry leaves the machine unless the user configures webhooks.
* - Fail-safe hooks path on the server must never block Claude Code; UI mirrors that
* philosophy by degrading gracefully (empty states, stale badges, reconnect loops).
* - Destructive flows stay behind explicit confirmation modals and server-side gates.
* - Internationalization: user-visible strings belong in i18n JSON, not literals here.
*
* ## Remote data & SSH
* Remote Data Sources let operators aggregate multiple machines. SSH entries describe
* how to reach a peer dashboard; the global data scope (`dataScope.ts`) narrows every
* scoped GET via `?sources=`. Health checks and import history surface in Settings.
*
* ## Internal dependencies
* - `../../lib/types`
*
* ## Public surface
* - `WorkflowPatterns` — exported API; see TSDoc on the symbol for behavior.
*
* ## Testing pointers
* - Prefer colocated `__tests__` with Vitest + Testing Library for UI.
* - Server contract changes require `npm run test:server` and OpenAPI sync.
* - MCP edits: `npm run mcp:typecheck` and `npm run mcp:build`.
*
* ## Related docs
* - `ARCHITECTURE.md` — hooks → API → SQLite → WebSocket → UI pipeline.
* - `docs/API.md` — REST reference.
* - `skills/file-headers/` — mandatory `@author` header policy.
* ============================================================================= */
/* -----------------------------------------------------------------------------
* EXPORT CATALOG — quick index of symbols defined below (documentation only).
* -----------------------------------------------------------------------------
* **WorkflowPatterns**
* Part of this module's public contract. Downstream imports should treat
* the signature and return type as stable unless release notes say otherwise.
* When behavior changes, update the `@file` overview and relevant tests.
*
* ----------------------------------------------------------------------------- */
import { useState } from "react";
import { useTranslation } from "react-i18next";
import { ChevronRight, Zap, Code2, Shield, Bug, FileText, Lightbulb, Info } from "lucide-react";
import type { LucideIcon } from "lucide-react";
import type { WorkflowPattern, WorkflowPatternsData } from "../../lib/types";
type TFn = (key: string, options?: Record<string, unknown>) => string;
// ── Constants ─────────────────────────────────────────────────────────────────
const MAX_VISIBLE_STEPS = 4;
// ── Helpers ───────────────────────────────────────────────────────────────────
function patternIcon(steps: string[]): LucideIcon {
const joined = steps.join(" ").toLowerCase();
if (joined.includes("debug")) return Bug;
if (joined.includes("security") || joined.includes("audit")) return Shield;
if (joined.includes("code-review") || joined.includes("review")) return Code2;
if (joined.includes("doc") || joined.includes("text")) return FileText;
return Zap;
}
/**
* Find the first agent that appears more than once in the sequence (loop indicator).
* Returns null if every step is unique.
*/
function findRepeatedStep(steps: string[]): string | null {
for (let i = 0; i < steps.length; i++) {
const s = steps[i];
if (s !== undefined && steps.indexOf(s) !== i) return s;
}
return null;
}
/**
* Build a deterministic, value-dependent narrative for a workflow pattern.
* Pure rule-based mapping - same input always yields the same output, so the
* UI never produces hallucinated descriptions for ambiguous patterns.
*/
function describePattern(pattern: WorkflowPattern, t: TFn): string {
const { steps, percentage } = pattern;
if (steps.length === 0) return "";
const first = steps[0] ?? "";
const last = steps[steps.length - 1] ?? first;
const repeated = findRepeatedStep(steps);
// Shape of the chain
let core: string;
if (steps.length === 1) {
core = t("patterns.detail.narrative.soloFmt", { first });
} else if (steps.length === 2) {
core = t("patterns.detail.narrative.twoStepFmt", { first, last });
} else if (steps.length <= 5) {
core = t("patterns.detail.narrative.shortFmt", { count: steps.length, first, last });
} else {
core = t("patterns.detail.narrative.longFmt", { count: steps.length, first, last });
}
if (repeated) {
core += t("patterns.detail.narrative.loopHintFmt", { agent: repeated });
}
// Frequency bucket
let freq: string;
if (percentage > 50) freq = t("patterns.detail.narrative.dominant");
else if (percentage > 25) freq = t("patterns.detail.narrative.common");
else if (percentage > 10) freq = t("patterns.detail.narrative.regular");
else freq = t("patterns.detail.narrative.niche");
return core + freq;
}
/**
* Pick a suggestion bucket based on chain length and whether a loop exists.
* Loop wins over length so the user is reminded to confirm intentional loops.
*/
function suggestionForPattern(pattern: WorkflowPattern, t: TFn): string {
const { steps } = pattern;
if (findRepeatedStep(steps)) return t("patterns.detail.suggestion.loop");
if (steps.length <= 1) return t("patterns.detail.suggestion.solo");
if (steps.length <= 3) return t("patterns.detail.suggestion.shortChain");
if (steps.length <= 6) return t("patterns.detail.suggestion.mediumChain");
return t("patterns.detail.suggestion.longChain");
}
// ── Sub-components ────────────────────────────────────────────────────────────
function StepPill({ label }: { label: string }) {
return (
<span className="inline-flex items-center px-2.5 py-1 rounded-lg text-xs font-medium bg-indigo-500/15 text-indigo-300 border border-indigo-500/20 whitespace-nowrap">
{label}
</span>
);
}
function StepFlow({ steps }: { steps: string[] }) {
const { t } = useTranslation("workflows");
const visible = steps.slice(0, MAX_VISIBLE_STEPS);
const overflow = steps.length - MAX_VISIBLE_STEPS;
return (
<div className="flex items-center flex-wrap gap-1 min-w-0">
{visible.map((step, idx) => (
<span key={idx} className="flex items-center gap-1">
<StepPill label={step} />
{(idx < visible.length - 1 || overflow > 0) && (
<ChevronRight className="w-3.5 h-3.5 flex-shrink-0 text-fg-muted" />
)}
</span>
))}
{overflow > 0 && (
<span className="inline-flex items-center px-2 py-1 rounded-lg text-xs font-medium bg-surface-3/50 text-fg-secondary border border-border-light/20 whitespace-nowrap">
{t("common:plusMore", { count: overflow })}
</span>
)}
</div>
);
}
function PatternFrequency({ count, percentage }: { count: number; percentage: number }) {
const { t } = useTranslation("workflows");
return (
<div className="flex-shrink-0 text-right">
<p className="text-sm font-semibold text-fg-primary">{count.toLocaleString()}</p>
<p className="text-xs text-fg-muted">
{percentage.toFixed(1)}% {t("common:ofSessions", { defaultValue: "of sessions" })}
</p>
</div>
);
}
interface PatternItemProps {
pattern: WorkflowPattern;
rank: number;
isSelected: boolean;
onClick: () => void;
}
function PatternItem({ pattern, rank, isSelected, onClick }: PatternItemProps) {
const { t } = useTranslation("workflows");
const Icon = patternIcon(pattern.steps);
return (
<div
className={[
"rounded-lg border transition-colors duration-150 overflow-hidden",
isSelected
? "bg-indigo-500/10 border-indigo-500/30"
: "bg-surface-2 border-transparent hover:bg-white/5 hover:border-white/10",
].join(" ")}
>
<button
type="button"
onClick={onClick}
aria-expanded={isSelected}
title={t("patterns.detail.clickHint")}
className="w-full flex items-center gap-3 px-4 py-3 text-left"
>
{/* Rank / icon */}
<div className="flex-shrink-0 w-7 h-7 rounded-md bg-indigo-500/10 border border-indigo-500/20 flex items-center justify-center">
{rank <= 3 ? (
<span className="text-xs font-bold text-indigo-400">{rank}</span>
) : (
<Icon className="w-3.5 h-3.5 text-indigo-400" />
)}
</div>
{/* Step flow */}
<div className="flex-1 min-w-0 overflow-hidden">
<StepFlow steps={pattern.steps} />
</div>
{/* Frequency */}
<PatternFrequency count={pattern.count} percentage={pattern.percentage} />
{/* Click affordance - visible only when not yet expanded so users know the row is interactive. */}
{!isSelected && (
<Info className="hidden sm:block w-3.5 h-3.5 text-fg-muted flex-shrink-0" />
)}
</button>
{isSelected && <PatternDetail pattern={pattern} />}
</div>
);
}
function PatternDetail({ pattern }: { pattern: WorkflowPattern }) {
const { t } = useTranslation("workflows");
const uniqueAgents = new Set(pattern.steps).size;
const narrative = describePattern(pattern, t);
const suggestion = suggestionForPattern(pattern, t);
return (
<div className="border-t border-indigo-500/20 bg-surface-1/40 px-4 py-3.5 space-y-3.5">
{/* Full step sequence (no truncation) */}
<div>
<p className="text-[10px] font-semibold text-fg-muted uppercase tracking-wider mb-2">
{t("patterns.detail.stepsHeading")}
</p>
<div className="flex items-center flex-wrap gap-1.5">
{pattern.steps.map((step, i) => (
<span key={i} className="flex items-center gap-1.5">
<span className="inline-flex items-center px-2.5 py-1 rounded-lg text-xs font-medium bg-indigo-500/15 text-indigo-200 border border-indigo-500/25">
<span className="text-indigo-400/70 mr-1.5 text-[10px] font-bold">{i + 1}</span>
{step}
</span>
{i < pattern.steps.length - 1 && (
<ChevronRight className="w-3.5 h-3.5 flex-shrink-0 text-fg-muted" />
)}
</span>
))}
</div>
</div>
{/* Stats grid */}
<div className="grid grid-cols-2 sm:grid-cols-4 gap-2">
<DetailStat
label={t("patterns.detail.stepsCount", { count: pattern.steps.length })}
value={String(pattern.steps.length)}
/>
<DetailStat label={t("patterns.detail.uniqueAgents")} value={String(uniqueAgents)} />
<DetailStat
label={t("patterns.detail.occurrences")}
value={pattern.count.toLocaleString()}
/>
<DetailStat
label={t("patterns.detail.shareOfSessions")}
value={`${pattern.percentage.toFixed(1)}%`}
/>
</div>
{/* Narrative - what this means */}
<div>
<p className="text-[10px] font-semibold text-fg-muted uppercase tracking-wider mb-1.5 flex items-center gap-1.5">
<Info className="w-3 h-3 text-indigo-400" />
{t("patterns.detail.narrativeHeading")}
</p>
<p className="text-xs text-fg-secondary leading-relaxed">{narrative}</p>
</div>
{/* Suggestion */}
<div className="bg-indigo-500/5 border border-indigo-500/15 rounded-md px-3 py-2.5">
<p className="text-[10px] font-semibold text-indigo-300 uppercase tracking-wider mb-1 flex items-center gap-1.5">
<Lightbulb className="w-3 h-3" />
{t("patterns.detail.suggestionHeading")}
</p>
<p className="text-xs text-fg-secondary leading-relaxed">{suggestion}</p>
</div>
</div>
);
}
function DetailStat({ label, value }: { label: string; value: string }) {
return (
<div className="bg-surface-2 border border-border rounded-md px-2.5 py-2">
<p className="text-sm font-semibold text-fg-primary tabular-nums">{value}</p>
<p className="text-[10px] text-fg-muted uppercase tracking-wider mt-0.5 truncate">{label}</p>
</div>
);
}
function SoloSessionItem({ count, percentage }: { count: number; percentage: number }) {
const { t } = useTranslation("workflows");
return (
<div className="flex items-center gap-3 px-4 py-3 rounded-lg border bg-yellow-500/5 border-yellow-500/20">
<div className="flex-shrink-0 w-7 h-7 rounded-md bg-yellow-500/10 border border-yellow-500/20 flex items-center justify-center">
<Zap className="w-3.5 h-3.5 text-yellow-400" />
</div>
<div className="flex-1 min-w-0">
<span className="inline-flex items-center px-2.5 py-1 rounded-lg text-xs font-medium bg-yellow-500/15 text-yellow-300 border border-yellow-500/20">
{t("patterns.solo")}
</span>
</div>
<div className="flex-shrink-0 text-right">
<p className="text-sm font-semibold text-fg-primary">{count.toLocaleString()}</p>
<p className="text-xs text-fg-muted">
{percentage.toFixed(1)}% {t("common:ofSessions", { defaultValue: "of sessions" })}
</p>
</div>
</div>
);
}
function EmptyPatterns() {
const { t } = useTranslation("workflows");
return (
<div className="flex flex-col items-center justify-center py-12 text-center">
<div className="w-10 h-10 rounded-xl bg-surface-4 flex items-center justify-center mb-3">
<Zap className="w-5 h-5 text-fg-muted" />
</div>
<p className="text-sm font-medium text-fg-secondary">{t("patterns.noData")}</p>
<p className="text-xs text-fg-muted mt-1">{t("patterns.noDataDesc")}</p>
</div>
);
}
// ── Public component ──────────────────────────────────────────────────────────
interface WorkflowPatternsProps {
data: WorkflowPatternsData;
onPatternClick?: (steps: string[]) => void;
}
export function WorkflowPatterns({ data, onPatternClick }: WorkflowPatternsProps) {
const { t } = useTranslation("workflows");
const [selectedIndex, setSelectedIndex] = useState<number | null>(null);
const handlePatternClick = (index: number, steps: string[]) => {
const next = selectedIndex === index ? null : index;
setSelectedIndex(next);
if (next !== null) {
onPatternClick?.(steps);
}
};
const hasContent = data.patterns.length > 0 || data.soloSessionCount > 0;
return (
<div className="card p-5">
<h2 className="text-sm font-semibold text-fg-secondary uppercase tracking-wider mb-4">
{t("patterns.label")}
</h2>
{!hasContent ? (
<EmptyPatterns />
) : (
<div className="flex flex-col gap-2">
{data.patterns.map((pattern, idx) => (
<PatternItem
key={idx}
pattern={pattern}
rank={idx + 1}
isSelected={selectedIndex === idx}
onClick={() => handlePatternClick(idx, pattern.steps)}
/>
))}
{data.soloSessionCount > 0 && (
<SoloSessionItem count={data.soloSessionCount} percentage={data.soloPercentage} />
)}
</div>
)}
</div>
);
}
@@ -1,115 +1,106 @@
/**
* @file Tests for the Workflows page's lane pipeline panel: it lists every lane
* as a tile, shows the first lane's pipeline before anything is clicked, and
* swaps the map when another lane is selected. A wrong selection would show one
* lane's stage under another lane's name.
* @file Tests for the Workflows page's pipeline pass-rate panel: it renders one
* row per node of the busiest pipeline, distinguishes a proved pass from a
* merely claimed one, and switches templates through the picker. Conflating
* evidence with a bare claim is the failure that matters here — it would make
* an undocumented stage look verified.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
import { describe, it, expect, vi } from "vitest";
import { render, screen, fireEvent } from "@testing-library/react";
import { MemoryRouter } from "react-router-dom";
import { render, screen, fireEvent, within } from "@testing-library/react";
import { LanePipelinePanel } from "../LanePipelinePanel";
const { LANES } = vi.hoisted(() => {
const laneStub = (id: number, stageId: string) => ({
id,
title: `lane-${id}`,
cwd: `/workspace/lane-${id}`,
branch: null,
kind: "adopted",
source_repo: null,
pipeline: "default",
session_id: null,
run_id: null,
stage: stageId,
stage_since: null,
status: "idle",
gate_decision: null,
ci_status: null,
needs_action: null,
links: {},
stages: {},
notes: null,
pipeline_name: "Default",
pipeline_nodes: [
{
id: stageId,
label: stageId,
icon: "🧭",
gate: false,
state: "current",
},
],
progress: 25,
stage_seconds: null,
last_event_seconds: null,
liveness: "idle",
detected_stage: null,
detected_signal: null,
slot: null,
ports: {},
active_feature_id: null,
});
return { LANES: [laneStub(1, "plan"), laneStub(2, "tests")] };
});
const listMock = vi.fn();
const statsMock = vi.fn();
vi.mock("../../../lib/api", async (importOriginal) => {
const actual = await importOriginal<Record<string, unknown>>();
return { ...actual, api: { lanes: { list: () => listMock() } } };
return { ...actual, api: { lanes: { pipelineStats: () => statsMock() } } };
});
function renderPanel() {
return render(
<MemoryRouter>
<LanePipelinePanel />
</MemoryRouter>
);
}
const node = (id: string, over: Record<string, number> = {}) => ({
id,
label: id,
icon: "🧭",
gate: false,
entered: 0,
passed: 0,
withEvidence: 0,
failed: 0,
...over,
});
const STATS = {
pipelines: [
{
id: "default",
name: "Default feature pipeline",
runs: 4,
nodes: [
node("plan", { entered: 4, passed: 4, withEvidence: 4 }),
node("implement", { entered: 4, passed: 4, withEvidence: 0 }),
node("tests", { entered: 3, passed: 2, withEvidence: 2, failed: 1 }),
node("ship"),
],
},
{ id: "hotfix", name: "Hotfix", runs: 1, nodes: [node("patch", { entered: 1, passed: 1 })] },
],
};
describe("LanePipelinePanel", () => {
it("shows the first lane's pipeline before any tile is clicked", async () => {
listMock.mockResolvedValue({
lanes: LANES,
counts: { total: 2, running: 0, needs_you: 0, dead: 0 },
});
renderPanel();
it("shows pass count, entries and rate per node of the busiest pipeline", async () => {
statsMock.mockResolvedValue(STATS);
render(<LanePipelinePanel />);
expect(await screen.findByTestId("lane-tile-1")).toHaveAttribute("data-selected", "true");
expect(screen.getByTestId("pipeline-node-plan")).toBeInTheDocument();
expect(screen.queryByTestId("pipeline-node-tests")).not.toBeInTheDocument();
const tests = await screen.findByTestId("pipeline-stat-tests");
expect(within(tests).getByText("2")).toBeInTheDocument();
expect(tests).toHaveTextContent("2/3");
expect(tests).toHaveTextContent("67%");
});
it("swaps the pipeline map when another lane is selected", async () => {
listMock.mockResolvedValue({
lanes: LANES,
counts: { total: 2, running: 0, needs_you: 0, dead: 0 },
});
renderPanel();
it("draws a claimed pass in a different colour from a proved one", async () => {
statsMock.mockResolvedValue(STATS);
render(<LanePipelinePanel />);
fireEvent.click(await screen.findByTestId("lane-tile-2"));
expect(screen.getByTestId("pipeline-node-tests")).toBeInTheDocument();
expect(screen.queryByTestId("pipeline-node-plan")).not.toBeInTheDocument();
const proved = await screen.findByTestId("pipeline-stat-plan");
const claimed = screen.getByTestId("pipeline-stat-implement");
// Same counts, different bar: plan is all evidence, implement is all claim.
expect(proved.querySelector(".bg-status-success")).toHaveStyle({ width: "100%" });
expect(claimed.querySelector(".bg-status-success")).toHaveStyle({ width: "0%" });
expect(claimed.querySelector(".bg-status-warning")).toHaveStyle({ width: "100%" });
});
it("renders the CLI hint when no lane exists", async () => {
listMock.mockResolvedValue({
lanes: [],
counts: { total: 0, running: 0, needs_you: 0, dead: 0 },
it("marks a node that was never reached instead of showing 0%", async () => {
statsMock.mockResolvedValue(STATS);
render(<LanePipelinePanel />);
const ship = await screen.findByTestId("pipeline-stat-ship");
expect(ship).not.toHaveTextContent("%");
});
it("switches templates through the picker", async () => {
statsMock.mockResolvedValue(STATS);
render(<LanePipelinePanel />);
fireEvent.change(await screen.findByTestId("pipeline-stats-picker"), {
target: { value: "hotfix" },
});
renderPanel();
expect(screen.getByTestId("pipeline-stat-patch")).toBeInTheDocument();
expect(screen.queryByTestId("pipeline-stat-plan")).not.toBeInTheDocument();
});
it("shows the CLI hint when nothing has been recorded", async () => {
statsMock.mockResolvedValue({ pipelines: [] });
render(<LanePipelinePanel />);
expect(await screen.findByText(/ccam lanes add/)).toBeInTheDocument();
expect(screen.queryByTestId("workflows-lane-strip")).not.toBeInTheDocument();
});
it("surfaces a failed fetch instead of an empty strip", async () => {
listMock.mockRejectedValue(new Error("lanes unreachable"));
renderPanel();
it("surfaces a failed fetch", async () => {
statsMock.mockRejectedValue(new Error("stats unreachable"));
render(<LanePipelinePanel />);
expect(await screen.findByText("lanes unreachable")).toBeInTheDocument();
expect(await screen.findByText("stats unreachable")).toBeInTheDocument();
});
});
@@ -0,0 +1,58 @@
/**
* @file Tests for the skill/plugin usage panel: plugin chips carry the combined
* skill + MCP call count, skills rank by calls, and the status filter is passed
* through to the API so the panel matches the rest of the page.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
import { describe, it, expect, vi } from "vitest";
import { render, screen } from "@testing-library/react";
import { SkillUsagePanel } from "../SkillUsagePanel";
const usageMock = vi.fn();
vi.mock("../../../lib/api", async (importOriginal) => {
const actual = await importOriginal<Record<string, unknown>>();
return { ...actual, api: { workflows: { skillUsage: (s?: string) => usageMock(s) } } };
});
const USAGE = {
skills: [
{ name: "ccam:ship-feature", plugin: "ccam", count: 12, sessions: 5 },
{ name: "daily-report", plugin: null, count: 3, sessions: 3 },
],
plugins: [{ name: "ccam", skills: 1, skillCalls: 12, mcpCalls: 4 }],
};
describe("SkillUsagePanel", () => {
it("sums a plugin's skill calls and MCP calls into one chip total", async () => {
usageMock.mockResolvedValue(USAGE);
render(<SkillUsagePanel statusFilter="all" />);
expect(await screen.findByTestId("plugin-usage-ccam")).toHaveTextContent("16");
});
it("lists each skill with its call and session counts", async () => {
usageMock.mockResolvedValue(USAGE);
render(<SkillUsagePanel statusFilter="all" />);
const row = await screen.findByTestId("skill-usage-ccam:ship-feature");
expect(row).toHaveTextContent("12");
expect(row).toHaveTextContent("5");
});
it("forwards the page's status filter to the API", async () => {
usageMock.mockResolvedValue(USAGE);
render(<SkillUsagePanel statusFilter="active" />);
await screen.findByTestId("plugin-usage-ccam");
expect(usageMock).toHaveBeenCalledWith("active");
});
it("shows an empty state when nothing was invoked", async () => {
usageMock.mockResolvedValue({ skills: [], plugins: [] });
render(<SkillUsagePanel statusFilter="all" />);
expect(await screen.findByText(/No skill invocation/i)).toBeInTheDocument();
});
});
+179 -6
View File
@@ -69,9 +69,39 @@
"why": "When an aggregate chart flags a suspicious session, this is where you go to read exactly what happened, in order."
},
"lanes": {
"what": "The lanes this dashboard tracks — one durable unit of parallel agent work per working directory — and the pipeline stages each one has reached.",
"howToRead": "Pick a lane tile to see its pipeline below. A node is green when it is done with evidence, solid blue for the current stage, amber when claimed without evidence, dashed amber when only detected from tool events, red when rejected.",
"why": "This is your own delivery pipeline, not Claude Code internals: it answers where each parallel workstream stands right now. Lane actions live on the Workspace page."
"what": "Every stage record across all your lanes and their archived features, counted per pipeline node: how many times a stage was entered, passed, and how many of those passes left evidence behind.",
"howToRead": "One row per node. The bar is scaled against the busiest node, split into green (passed with evidence), amber (passed but only claimed) and red (failed). The number on the right is passes / entries and the pass rate.",
"why": "A node with a long amber bar is a stage everyone declares and nobody proves; a node that is never reached is a stage your pipeline does not really use."
},
"patterns": {
"what": "A ranked list of recurring agent-orchestration sequences detected from session traces, plus a callout for solo sessions that ran without subagents.",
"howToRead": "Each row is a step sequence (main → sub → sub …). The right side shows how many sessions matched it and what percentage of all sessions that represents. Click a pattern to highlight it.",
"why": "Reveals the standard 'shapes' of work in your project. Frequent patterns are good candidates to formalize as named workflows or skills."
},
"modelDelegation": {
"what": "A two-column flow showing which main models delegate to which subagent models, plus per-node agent counts and total tokens.",
"howToRead": "Left column = main models for sessions; right column = models used inside subagents. Lines indicate observed main → subagent pairings. Hover a node for share-of-all-agents, sessions, total tokens, and a description of the model family (Opus / Sonnet / Haiku).",
"why": "Helps you confirm cost/latency tiering - e.g. main on Sonnet, subagents on Haiku - and catch unintended escalations to Opus."
},
"errorPropagation": {
"what": "Where errors cluster across the agent hierarchy: by depth (session/main vs direct subagent vs nested), by agent type, and by API/session-level error category.",
"howToRead": "The top banner gives the session-level error rate. The depth bars show how many errors occurred at each nesting level. The error-prone types list ranks subagent types by error count. The bottom block surfaces API/session error summaries.",
"why": "Pinpoints whether failures live in the orchestration spine (main agent), in specific subagents, or in deep nested chains - guiding where to invest in retries, validation, or rewrites."
},
"complexity": {
"what": "A scatter plot of every session: x = wall-clock duration, y = total agents involved, bubble size = total tokens, color = final status.",
"howToRead": "Top-right bubbles are long, agent-heavy sessions. Big bubbles burned the most tokens. Reds/yellows = error/abandoned outcomes. Hover any bubble for full session stats; click to drill into it below.",
"why": "Gives a single view of the cost/complexity distribution. Outliers are the sessions worth investigating for runaway behavior or cost spikes."
},
"compaction": {
"what": "How often Claude triggered context compaction across sessions: total events, tokens recovered, and a per-session distribution.",
"howToRead": "The two stat boxes show total compaction events and the cumulative tokens reclaimed. The bar chart lists sessions with at least one compaction, sorted descending by count.",
"why": "Compactions indicate context pressure. A long tail of high-compaction sessions usually means workflows that should be split, summarized, or migrated to a longer-context model."
},
"skillUsage": {
"what": "Skill invocations counted from Skill tool events, grouped by skill and by owning plugin. A plugin's total also counts calls to the MCP tools it ships.",
"howToRead": "Chips on top are plugins with their combined call count; the list below ranks individual skills by number of calls, with how many distinct sessions used each one.",
"why": "Shows which parts of your setup earn their keep. A skill installed but never invoked never appears here — this reports use, not inventory."
}
},
"stats": {
@@ -236,8 +266,151 @@
"sortedByCompaction": " session(s) (sorted by compaction count)"
},
"lanes": {
"title": "Lane Pipelines",
"subtitle": "Your own lanes and the stage each one has reached",
"openWorkspace": "Open in Workspace"
"title": "Lane Pipeline Pass Rates",
"subtitle": "How often each stage of your own pipelines is actually passed",
"pipelineLabel": "Pipeline template",
"runs_one": "{{count}} run recorded",
"runs_other": "{{count}} runs recorded",
"legendEvidence": "passed with evidence",
"legendClaimed": "passed, no evidence",
"legendFailed": "failed",
"never": "never reached",
"empty": "No lane has recorded a stage yet. Create one with"
},
"patterns": {
"title": "Detected Workflow Patterns",
"subtitle": "Common agent orchestration sequences",
"noData": "No patterns detected yet",
"noDataDesc": "Patterns appear once multiple sessions share the same agent sequence.",
"solo": "solo (no subagents)",
"label": "Workflow Patterns",
"detail": {
"clickHint": "Click for details",
"stepsHeading": "Full step sequence",
"statsHeading": "Stats",
"stepsCount_one": "{{count}} step",
"stepsCount_other": "{{count}} steps",
"uniqueAgents": "Unique agent types",
"occurrences": "Sessions matching this pattern",
"shareOfSessions": "Share of all sessions",
"narrativeHeading": "What this means",
"suggestionHeading": "Suggestion",
"narrative": {
"soloFmt": "Sessions that ran with only {{first}} - no delegation to other agent types.",
"twoStepFmt": "A two-step hand-off: {{first}} delegates straight to {{last}}, with no further branching.",
"shortFmt": "A {{count}}-step chain that starts at {{first}} and ends at {{last}}.",
"longFmt": "A long {{count}}-step chain - begins at {{first}}, threads through several agents, and lands at {{last}}.",
"loopHintFmt": " {{agent}} appears more than once in this sequence - typical of a verification or revision loop.",
"dominant": " This is the dominant workflow in your project - more than half of sessions follow it.",
"common": " This is a common workflow, accounting for roughly a quarter of sessions.",
"regular": " A recognised workflow, but not the majority pattern.",
"niche": " A niche pattern that only surfaces occasionally."
},
"suggestion": {
"solo": "Solo run - would a code-reviewer or test-runner subagent raise the quality of these sessions?",
"shortChain": "Short chain. If it keeps recurring, name it as a slash command, skill, or named workflow so it's easy to reproduce.",
"mediumChain": "Frequent enough to formalise. A named workflow or template would make this pattern reusable.",
"longChain": "Long chain - review whether every hop is necessary, or whether some agents could be merged or skipped.",
"loop": "Loop detected. Confirm the repeated step is intentional verification rather than a silent retry of a failing call."
}
}
},
"modelDelegation": {
"title": "Model Delegation Flow",
"subtitle": "How models route through agent hierarchies",
"mainModels": "MAIN MODELS",
"subagentModels": "SUBAGENT MODELS",
"noData": "No model delegation data available",
"agentsCount_one": "{{count}} agent",
"agentsCount_other": "{{count}} agents",
"tokensCount": "{{tokens}} tokens",
"sessionsCount_one": "{{count}} session",
"sessionsCount_other": "{{count}} sessions",
"ariaLabel": "Model delegation flow diagram",
"tooltip": {
"mainModel": "Main model",
"subagentModel": "Subagent model",
"agentRuns": "Agent runs",
"shareOfAll": "Share of all agents",
"sessionsOnModel": "Sessions on this model",
"totalTokens": "Total tokens",
"family": {
"opus": "Opus - highest-capability tier; best for complex reasoning, longest context, costliest per token.",
"sonnet": "Sonnet - balanced tier; good default for most coding and tool-use workflows.",
"haiku": "Haiku - fastest, cheapest tier; ideal for short, latency-sensitive subagents.",
"other": "Non-Anthropic or unrecognized model - falls outside the standard Opus/Sonnet/Haiku families."
},
"lines": {
"main": "Lines on the right show subagent models this main model delegated work to.",
"sub": "Lines on the left show main models that delegated work to this subagent model."
}
}
},
"errorPropagation": {
"title": "Error Propagation Map",
"subtitle": "Where errors cluster in agent hierarchy depth",
"noErrors": "No errors recorded",
"allSuccess": "All sessions completed successfully",
"sessionsHadErrors": " sessions had errors",
"sessionsErrorSummary": "{{errorSessions}} of {{totalSessions}} sessions had errors",
"agentErrors": " agent-level error(s) across hierarchy",
"sessionErrorsOnly": "Session-level errors only",
"errorsByDepth": "Errors by hierarchy depth",
"errorProneTypes": "Error-prone agent types",
"apiSessionErrors": "API & session errors",
"depthLabels": {
"sessionMain": "Session / Main",
"directSubagent": "Direct Subagent",
"nested": "Nested (depth 2)",
"deep": "Deep (depth 3+)"
}
},
"complexity": {
"title": "Session Complexity Scatter",
"subtitle": "Duration vs agent count vs tokens - Bubble size = token usage",
"noData": "No session complexity data",
"noDataDesc": "Sessions will appear here once they complete with agent activity.",
"duration": "Duration",
"agentCount": "Agent Count",
"ariaLabel": "Session complexity scatter plot",
"tooltip": {
"duration": "Duration:",
"agents": "Agents:",
"subagents": "Subagents:",
"tokens": "Tokens:",
"model": "Model:"
}
},
"compaction": {
"title": "Compaction Impact Analysis",
"subtitle": "How context compression is spread across your sessions",
"help": "When a session's context window fills up, Claude Code compresses older history into a summary. Each compaction is one such event.",
"noData": "No compactions recorded",
"totalCompactions": "Total compactions",
"sessionsAffected": "Sessions affected",
"ofTotal": "of {{total}}",
"avgPerSession": "Avg / affected session",
"peakSession": "Most in one session",
"tokensRecovered": "Tokens Recovered",
"distribution": "Sessions by compaction count",
"xAxis": "Compactions per session",
"yAxis": "Sessions",
"summary": "{{affected}} of {{total}} sessions ({{pct}}%) used context compaction.",
"tokensFreed": "Compaction freed ~{{tokens}} tokens of context.",
"ariaLabel": "Number of sessions by compaction count",
"tipTitle": "Compacted {{count}}x",
"tipDetail": "{{sessions}} sessions · {{pct}}% of affected"
},
"skillUsage": {
"title": "Skill & Plugin Usage",
"subtitle": "Which skills your sessions actually reach for",
"plugins": "Plugins",
"skills": "Skills",
"empty": "No skill invocation recorded yet.",
"calls_one": "{{count}} call",
"calls_other": "{{count}} calls",
"sessions_one": "{{count}} session",
"sessions_other": "{{count}} sessions",
"pluginBreakdown": "{{skills}} skill(s) used · {{skillCalls}} skill call(s) · {{mcpCalls}} MCP tool call(s)"
}
}
+179 -6
View File
@@ -69,9 +69,39 @@
"why": "Khi biểu đồ tổng hợp đánh dấu một phiên đáng ngờ, đây là nơi bạn đọc chính xác chuyện gì đã xảy ra, theo đúng thứ tự."
},
"lanes": {
"what": "Các lane mà dashboard theo dõi — mỗi thư mục làm việc là một đơn vị công việc song song bền vững — cùng giai đoạn pipeline mỗi lane đã đạt tới.",
"howToRead": "Chọn một thẻ lane để xem pipeline bên dưới. Node xanh lá là đã xong kèm bằng chứng, xanh dương đặc là giai đoạn hiện tại, vàng là khai báo nhưng không có bằng chứng, vàng nét đứt là chỉ suy ra từ tool event, đỏ là bị từ chối.",
"why": "Đây là pipeline giao việc của chính bạn, không phải nội bộ Claude Code: nó trả lời từng luồng việc song song đang ở đâu. Các thao tác trên lane nằm ở trang Workspace."
"what": "Toàn bộ bản ghi giai đoạn của mọi lane và feature đã lưu trữ, đếm theo từng node pipeline: số lần vào giai đoạn, số lần pass, và bao nhiêu lần pass có kèm bằng chứng.",
"howToRead": "Mỗi node một dòng. Thanh bar so tỉ lệ với node bận nhất, chia ba màu: xanh lá (pass có bằng chứng), vàng (pass nhưng chỉ khai báo), đỏ (thất bại). Số bên phải là pass / số lần vào và tỉ lệ pass.",
"why": "Node có dải vàng dài là giai đoạn ai cũng khai báo nhưng không ai chứng minh; node chưa bao giờ tới là giai đoạn pipeline của bạn thực tế không dùng."
},
"patterns": {
"what": "Danh sách xếp hạng các chuỗi điều phối Agent lặp lại được phát hiện từ trace phiên, kèm thẻ riêng cho phiên đơn lẻ không có Subagent.",
"howToRead": "Mỗi dòng là một chuỗi bước (main → sub → sub …). Bên phải hiển thị số phiên khớp và tỷ lệ trên tổng phiên. Bấm vào một mẫu để làm nổi bật.",
"why": "Cho thấy các 'hình dáng' công việc tiêu chuẩn trong dự án. Mẫu phổ biến là ứng viên tốt để chuẩn hóa thành workflow hoặc skill có tên gọi."
},
"modelDelegation": {
"what": "Sơ đồ luồng hai cột cho thấy mô hình chính nào ủy quyền cho mô hình Subagent nào, kèm số Agent và tổng token theo node.",
"howToRead": "Cột trái = mô hình chính của phiên; cột phải = mô hình dùng bên trong Subagent. Đường nối chỉ các cặp main → Subagent quan sát được. Hover một node để xem tỷ trọng trên tổng Agent, số phiên, tổng token và mô tả họ mô hình (Opus / Sonnet / Haiku).",
"why": "Giúp xác nhận phân tầng chi phí/độ trễ - ví dụ main trên Sonnet, Subagent trên Haiku - và phát hiện các trường hợp bị đẩy lên Opus ngoài ý muốn."
},
"errorPropagation": {
"what": "Lỗi tập trung ở đâu trong phân cấp Agent: theo độ sâu (phiên/main vs Subagent trực tiếp vs lồng nhau), theo loại Agent, và theo nhóm lỗi API / phiên.",
"howToRead": "Banner trên đầu cho biết tỷ lệ lỗi cấp phiên. Các thanh độ sâu cho biết bao nhiêu lỗi xảy ra ở từng cấp lồng. Danh sách 'loại dễ lỗi' xếp Subagent theo số lỗi. Khối dưới hiển thị tóm tắt lỗi API/phiên.",
"why": "Xác định lỗi nằm ở trục điều phối (main agent), ở Subagent cụ thể, hay ở chuỗi lồng sâu - giúp định hướng nơi nên đầu tư retry, kiểm chứng hay viết lại."
},
"complexity": {
"what": "Biểu đồ phân tán mỗi phiên: x = thời lượng thực, y = tổng số Agent, kích thước bong bóng = tổng token, màu = trạng thái cuối.",
"howToRead": "Bong bóng phía trên-bên phải là phiên dài và nặng Agent. Bong bóng to dùng nhiều token nhất. Đỏ/vàng = kết quả lỗi/bỏ dở. Hover để xem đầy đủ thống kê phiên; bấm để xem chi tiết bên dưới.",
"why": "Cho cái nhìn tổng thể về phân bố chi phí/độ phức tạp. Outlier chính là những phiên đáng điều tra vì hành vi bất thường hoặc đột biến chi phí."
},
"compaction": {
"what": "Tần suất Claude kích hoạt nén ngữ cảnh: tổng số sự kiện, token thu hồi và phân bố theo từng phiên.",
"howToRead": "Hai ô số liệu cho biết tổng số lần nén và tổng token đã thu hồi. Biểu đồ cột liệt kê các phiên có ít nhất một lần nén, sắp xếp giảm dần theo số lần.",
"why": "Nén ngữ cảnh là dấu hiệu áp lực bộ nhớ. Nhiều phiên có số lần nén cao thường có nghĩa workflow nên được chia nhỏ, tóm tắt, hoặc chuyển sang model có ngữ cảnh dài hơn."
},
"skillUsage": {
"what": "Số lần gọi skill đếm từ event tool Skill, gom theo skill và theo plugin sở hữu. Tổng của một plugin còn tính cả lần gọi các tool MCP mà plugin đó cung cấp.",
"howToRead": "Các chip phía trên là plugin kèm tổng số lần gọi; danh sách bên dưới xếp hạng từng skill theo số lần gọi, kèm số phiên khác nhau đã dùng skill đó.",
"why": "Cho thấy phần nào trong bộ cài đặt thực sự đáng giữ. Skill cài mà không bao giờ gọi sẽ không xuất hiện ở đây — bảng này báo mức dùng, không phải danh mục."
}
},
"stats": {
@@ -236,8 +266,151 @@
"sortedByCompaction": " phiên (sắp theo số lần nén ngữ cảnh)"
},
"lanes": {
"title": "Pipeline của lane",
"subtitle": "Các lane của bạn và giai đoạn mỗi lane đã đạt tới",
"openWorkspace": "Mở trong Workspace"
"title": "Tỉ lệ pass các node pipeline",
"subtitle": "Mỗi giai đoạn trong pipeline của bạn thực sự pass bao nhiêu lần",
"pipelineLabel": "Mẫu pipeline",
"runs_one": "{{count}} lượt chạy được ghi nhận",
"runs_other": "{{count}} lượt chạy được ghi nhận",
"legendEvidence": "pass kèm bằng chứng",
"legendClaimed": "pass, không bằng chứng",
"legendFailed": "thất bại",
"never": "chưa từng tới",
"empty": "Chưa lane nào ghi nhận giai đoạn. Tạo lane bằng"
},
"patterns": {
"title": "Mẫu quy trình phát hiện được",
"subtitle": "Chuỗi điều phối Agent thường gặp",
"noData": "Chưa phát hiện mẫu nào",
"noDataDesc": "Mẫu sẽ xuất hiện khi nhiều phiên có cùng chuỗi Agent.",
"solo": "đơn lẻ (không có Subagent)",
"label": "Mẫu quy trình",
"detail": {
"clickHint": "Bấm để xem chi tiết",
"stepsHeading": "Chuỗi bước đầy đủ",
"statsHeading": "Thống kê",
"stepsCount_one": "{{count}} bước",
"stepsCount_other": "{{count}} bước",
"uniqueAgents": "Số loại Agent khác nhau",
"occurrences": "Số phiên khớp mẫu này",
"shareOfSessions": "Tỷ trọng trên tổng phiên",
"narrativeHeading": "Ý nghĩa của mẫu này",
"suggestionHeading": "Gợi ý",
"narrative": {
"soloFmt": "Phiên chỉ chạy {{first}} - không ủy quyền cho loại Agent nào khác.",
"twoStepFmt": "Hand-off hai bước: {{first}} ủy quyền thẳng cho {{last}}, không có nhánh nào khác.",
"shortFmt": "Chuỗi {{count}} bước, bắt đầu ở {{first}} và kết thúc ở {{last}}.",
"longFmt": "Chuỗi dài {{count}} bước - bắt đầu ở {{first}}, đi qua nhiều Agent, rồi dừng ở {{last}}.",
"loopHintFmt": " {{agent}} xuất hiện nhiều lần trong chuỗi này - điển hình cho vòng lặp kiểm tra hoặc sửa lại.",
"dominant": " Đây là quy trình chủ đạo trong dự án - hơn một nửa số phiên đi theo.",
"common": " Là quy trình phổ biến, chiếm khoảng một phần tư số phiên.",
"regular": " Là quy trình được nhận diện, nhưng chưa phải đa số.",
"niche": " Là mẫu hiếm, chỉ thi thoảng mới xuất hiện."
},
"suggestion": {
"solo": "Phiên đơn lẻ - liệu thêm code-reviewer hay test-runner Subagent có cải thiện chất lượng không?",
"shortChain": "Chuỗi ngắn. Nếu lặp lại nhiều, hãy đặt tên thành slash command, skill hoặc workflow để dễ tái sử dụng.",
"mediumChain": "Đủ phổ biến để chuẩn hóa. Một workflow/template có tên sẽ giúp tái sử dụng dễ dàng.",
"longChain": "Chuỗi dài - xem xét liệu mọi bước có thực sự cần thiết, hay có thể gộp/bỏ bớt một số Agent.",
"loop": "Phát hiện vòng lặp. Hãy xác nhận bước lặp là kiểm tra có chủ đích, không phải retry âm thầm một lệnh đang lỗi."
}
}
},
"modelDelegation": {
"title": "Luồng ủy quyền mô hình",
"subtitle": "Cách các mô hình đi qua phân cấp Agent",
"mainModels": "MÔ HÌNH CHÍNH",
"subagentModels": "MÔ HÌNH TÁC TỬ PHỤ",
"noData": "Chưa có dữ liệu ủy quyền mô hình",
"agentsCount_one": "{{count}} Agent",
"agentsCount_other": "{{count}} Agent",
"tokensCount": "{{tokens}} token",
"sessionsCount_one": "{{count}} phiên",
"sessionsCount_other": "{{count}} phiên",
"ariaLabel": "Sơ đồ luồng ủy quyền mô hình",
"tooltip": {
"mainModel": "Mô hình chính",
"subagentModel": "Mô hình Subagent",
"agentRuns": "Lượt chạy Agent",
"shareOfAll": "Tỷ trọng trên tổng Agent",
"sessionsOnModel": "Phiên dùng mô hình này",
"totalTokens": "Tổng token",
"family": {
"opus": "Opus - bậc khả năng cao nhất; tốt cho lý luận phức tạp, ngữ cảnh dài nhất, đắt nhất theo token.",
"sonnet": "Sonnet - bậc cân bằng; mặc định tốt cho hầu hết quy trình code và dùng tool.",
"haiku": "Haiku - bậc nhanh nhất, rẻ nhất; phù hợp cho Subagent ngắn, nhạy cảm độ trễ.",
"other": "Mô hình ngoài Anthropic hoặc không nhận dạng được - không thuộc bộ Opus/Sonnet/Haiku tiêu chuẩn."
},
"lines": {
"main": "Các đường bên phải cho thấy mô hình Subagent mà mô hình chính này đã ủy quyền.",
"sub": "Các đường bên trái cho thấy mô hình chính nào đã ủy quyền cho mô hình Subagent này."
}
}
},
"errorPropagation": {
"title": "Bản đồ lan truyền lỗi",
"subtitle": "Điểm tập trung lỗi theo độ sâu phân cấp Agent",
"noErrors": "Không ghi nhận lỗi",
"allSuccess": "Tất cả phiên đã hoàn tất thành công",
"sessionsHadErrors": " phiên gặp lỗi",
"sessionsErrorSummary": "{{errorSessions}} trên {{totalSessions}} phiên gặp lỗi",
"agentErrors": " lỗi cấp Agent trong toàn bộ phân cấp",
"sessionErrorsOnly": "Chỉ có lỗi ở cấp phiên",
"errorsByDepth": "Lỗi theo độ sâu phân cấp",
"errorProneTypes": "Loại Agent dễ lỗi",
"apiSessionErrors": "Lỗi API & phiên",
"depthLabels": {
"sessionMain": "Phiên / Agent chính",
"directSubagent": "Subagent trực tiếp",
"nested": "Lồng nhau (độ sâu 2)",
"deep": "Sâu (độ sâu 3+)"
}
},
"complexity": {
"title": "Biểu đồ phân tán độ phức tạp phiên",
"subtitle": "Thời lượng vs số Agent vs token - kích thước bong bóng = lượng token",
"noData": "Chưa có dữ liệu độ phức tạp phiên",
"noDataDesc": "Phiên sẽ xuất hiện ở đây sau khi hoàn tất với hoạt động Agent.",
"duration": "Thời lượng",
"agentCount": "Số Agent",
"ariaLabel": "Biểu đồ phân tán độ phức tạp phiên",
"tooltip": {
"duration": "Thời lượng:",
"agents": "Agent:",
"subagents": "Subagent:",
"tokens": "Token:",
"model": "Mô hình:"
}
},
"compaction": {
"title": "Phân tích tác động nén ngữ cảnh",
"subtitle": "Cách nén ngữ cảnh phân bố trên các phiên của bạn",
"help": "Khi cửa sổ ngữ cảnh của một phiên đầy, Claude Code nén phần lịch sử cũ thành bản tóm tắt. Mỗi lần nén dưới đây là một sự kiện như vậy.",
"noData": "Chưa ghi nhận nén ngữ cảnh",
"totalCompactions": "Tổng số lần nén",
"sessionsAffected": "Phiên bị ảnh hưởng",
"ofTotal": "trên {{total}}",
"avgPerSession": "TB / phiên bị ảnh hưởng",
"peakSession": "Nhiều nhất trong một phiên",
"tokensRecovered": "Token thu hồi",
"distribution": "Số phiên theo số lần nén",
"xAxis": "Số lần nén mỗi phiên",
"yAxis": "Số phiên",
"summary": "{{affected}} trên {{total}} phiên ({{pct}}%) đã dùng nén ngữ cảnh.",
"tokensFreed": "Nén đã giải phóng ~{{tokens}} token ngữ cảnh.",
"ariaLabel": "Số phiên theo số lần nén",
"tipTitle": "Nén {{count}} lần",
"tipDetail": "{{sessions}} phiên · {{pct}}% số phiên bị ảnh hưởng"
},
"skillUsage": {
"title": "Mức dùng skill & plugin",
"subtitle": "Các phiên làm việc thực sự dùng skill nào",
"plugins": "Plugin",
"skills": "Skill",
"empty": "Chưa ghi nhận lần gọi skill nào.",
"calls_one": "{{count}} lần gọi",
"calls_other": "{{count}} lần gọi",
"sessions_one": "{{count}} phiên",
"sessions_other": "{{count}} phiên",
"pluginBreakdown": "{{skills}} skill được dùng · {{skillCalls}} lần gọi skill · {{mcpCalls}} lần gọi tool MCP"
}
}
+19
View File
@@ -390,9 +390,11 @@ import type {
LaneRuntime,
ModelPricing,
NamedLock,
PipelineStats,
Session,
SessionDrillIn,
SessionStats,
SkillUsage,
Stats,
TranscriptListResult,
TranscriptResult,
@@ -1122,6 +1124,17 @@ export const api = {
*/
session: (id: string) =>
request<SessionDrillIn>(`/workflows/session/${encodeURIComponent(id)}`),
/**
* GET /api/workflows/skill-usage — how often each skill was invoked and how
* much each plugin is used (its skills plus its own MCP tools).
*
* @param status Optional lifecycle filter; "all" (or omitted) means no filter.
* @returns {@link SkillUsage} — per-skill rows and per-plugin totals.
*/
skillUsage: (status?: string) =>
request<SkillUsage>(
`/workflows/skill-usage${status && status !== "all" ? `?status=${status}` : ""}`
),
// Workflow-tool runs (issue #167) - fleets ingested from on-disk journals.
// These two endpoints cover fleets that emit no hooks: the server reads their
// run journals off disk (see server/lib/workflow-ingest.js) instead of the
@@ -1908,6 +1921,12 @@ export const api = {
request<{ pipelines: { id: string; name: string; nodes: { id: string }[] }[] }>(
"/lanes/pipelines"
),
/**
* GET /api/lanes/pipeline-stats — per-node pass counts aggregated over every
* lane and every archived feature.
* @returns `{ pipelines }` — see {@link PipelineStats}.
*/
pipelineStats: () => request<PipelineStats>("/lanes/pipeline-stats"),
/**
* GET /api/lanes/branches — a candidate source repo's local branches.
* @param repo Absolute path to an existing git repository.
+47
View File
@@ -2465,6 +2465,53 @@ export interface LaneCounts {
dead: number;
}
/**
* How often one pipeline node was actually passed, summed over every lane and
* every archived feature. `passed + failed === entered`; `withEvidence` is the
* subset of passes that left an artifact, so a claim never reads as a proof.
*/
export interface PipelineNodeStat {
id: string;
label: string;
icon: string;
gate: boolean;
entered: number;
passed: number;
withEvidence: number;
failed: number;
}
/** Per-node pass counts, grouped by pipeline template (busiest first). */
export interface PipelineStats {
pipelines: {
id: string;
name: string;
/** Lanes + archived features recorded against this template. */
runs: number;
nodes: PipelineNodeStat[];
}[];
}
/** Skill invocation counts and the per-plugin totals derived from them. */
export interface SkillUsage {
skills: {
/** Skill name as invoked, e.g. `ccam:ship-feature` or a bare `daily-report`. */
name: string;
/** Owning plugin, or null for a built-in/personal skill. */
plugin: string | null;
count: number;
sessions: number;
}[];
plugins: {
name: string;
/** Distinct skills of this plugin that were used at least once. */
skills: number;
skillCalls: number;
/** Calls to the plugin's own MCP tools. */
mcpCalls: number;
}[];
}
// ───── Status presentation lookup (agents) ─────
/**
+92 -16
View File
@@ -1,11 +1,12 @@
/**
* @file Workflows.tsx
* @description Workflows page: this dashboard's own lane pipelines first, then the
* few Claude Code orchestration views that stay readable and interactive — headline
* stats, Workflow-tool runs, the spawning DAG, the tool flow, and the per-session
* drill-in. The deeper analytics (collaboration network, subagent effectiveness,
* patterns, model delegation, error propagation, concurrency, complexity,
* compaction) were dropped in issue #6 as too specialized to act on.
* @description Workflows page. Opens on this dashboard's OWN pipelines — per-node
* pass rates across every lane, and which skills/plugins actually get used — then
* the Claude Code orchestration analytics: headline stats, Workflow-tool runs, the
* spawning DAG, tool flow, patterns, model delegation, error propagation, session
* complexity, compaction impact and the per-session drill-in. Issue #6 dropped the
* agent collaboration network and the subagent effectiveness scorecards as too
* specialized to act on.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
/* =============================================================================
@@ -31,9 +32,15 @@
* - `../lib/types`
* - `../components/workflows/WorkflowStats`
* - `../components/workflows/LanePipelinePanel`
* - `../components/workflows/SkillUsagePanel`
* - `../components/workflows/WorkflowRunsPanel`
* - `../components/workflows/OrchestrationDAG`
* - `../components/workflows/ToolExecutionFlow`
* - `../components/workflows/WorkflowPatterns`
* - `../components/workflows/ModelDelegationFlow`
* - `../components/workflows/ErrorPropagationMap`
* - `../components/workflows/SessionComplexityScatter`
* - `../components/workflows/CompactionImpact`
* - `../components/workflows/SessionDrillIn`
*
* ## Public surface
@@ -76,9 +83,15 @@ import type { WorkflowData, WSMessage } from "../lib/types";
import { WorkflowStats } from "../components/workflows/WorkflowStats";
import { OrchestrationDAG } from "../components/workflows/OrchestrationDAG";
import { ToolExecutionFlow } from "../components/workflows/ToolExecutionFlow";
import { WorkflowPatterns } from "../components/workflows/WorkflowPatterns";
import { ModelDelegationFlow } from "../components/workflows/ModelDelegationFlow";
import { ErrorPropagationMap } from "../components/workflows/ErrorPropagationMap";
import { SessionComplexityScatter } from "../components/workflows/SessionComplexityScatter";
import { CompactionImpact } from "../components/workflows/CompactionImpact";
import { SessionDrillIn } from "../components/workflows/SessionDrillIn";
import { WorkflowRunsPanel } from "../components/workflows/WorkflowRunsPanel";
import { LanePipelinePanel } from "../components/workflows/LanePipelinePanel";
import { SkillUsagePanel } from "../components/workflows/SkillUsagePanel";
type StatusFilter = "all" | "active" | "completed";
@@ -198,10 +211,21 @@ export function Workflows() {
{/* Stats Row */}
<WorkflowStats stats={data.stats} />
{/* This dashboard's own pipelines - lane strip + the selected lane's map */}
<Section number={1} title={t("lanes.title")} subtitle={t("lanes.subtitle")} infoKey="lanes">
<LanePipelinePanel />
</Section>
{/* Section 1 + 2: this dashboard's own pipelines, and what drives them */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
<Section number={1} title={t("lanes.title")} subtitle={t("lanes.subtitle")} infoKey="lanes">
<LanePipelinePanel />
</Section>
<Section
number={2}
title={t("skillUsage.title")}
subtitle={t("skillUsage.subtitle")}
infoKey="skillUsage"
>
<SkillUsagePanel statusFilter={statusFilter} />
</Section>
</div>
{/* Workflow-tool runs (issue #167) - fleets ingested from on-disk journals */}
<div className="card p-4 space-y-3">
@@ -215,9 +239,9 @@ export function Workflows() {
<WorkflowRunsPanel statusFilter={statusFilter} />
</div>
{/* Section 2: Agent Orchestration DAG */}
{/* Section 3: Agent Orchestration DAG */}
<Section
number={2}
number={3}
title={t("orchestration.title")}
subtitle={t("orchestration.subtitle")}
infoKey="orchestration"
@@ -243,9 +267,9 @@ export function Workflows() {
)}
</Section>
{/* Section 3: Tool Execution Flow */}
{/* Section 4: Tool Execution Flow */}
<Section
number={3}
number={4}
title={t("toolFlow.title")}
subtitle={t("toolFlow.subtitle")}
infoKey="toolFlow"
@@ -253,9 +277,61 @@ export function Workflows() {
<ToolExecutionFlow data={data.toolFlow} filterAgentType={selectedNode} />
</Section>
{/* Section 4: Session Drill-In */}
{/* Section 5: Workflow Patterns */}
<Section
number={4}
number={5}
title={t("patterns.title")}
subtitle={t("patterns.subtitle")}
infoKey="patterns"
>
<WorkflowPatterns data={data.patterns} onPatternClick={() => {}} />
</Section>
{/* Section 6 + 7: Two Column */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
<Section
number={6}
title={t("modelDelegation.title")}
subtitle={t("modelDelegation.subtitle")}
infoKey="modelDelegation"
>
<ModelDelegationFlow data={data.modelDelegation} />
</Section>
<Section
number={7}
title={t("errorPropagation.title")}
subtitle={t("errorPropagation.subtitle")}
infoKey="errorPropagation"
>
<ErrorPropagationMap data={data.errorPropagation} />
</Section>
</div>
{/* Section 8 + 9: Two Column */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
<Section
number={8}
title={t("complexity.title")}
subtitle={t("complexity.subtitle")}
infoKey="complexity"
>
<SessionComplexityScatter data={data.complexity} onSessionClick={setSelectedSessionId} />
</Section>
<Section
number={9}
title={t("compaction.title")}
subtitle={t("compaction.subtitle")}
infoKey="compaction"
>
<CompactionImpact data={data.compaction} />
</Section>
</div>
{/* Section 10: Session Drill-In */}
<Section
number={10}
title={t("drillIn.title")}
subtitle={t("drillIn.subtitle")}
infoKey="drillIn"
@@ -10265,75 +10265,147 @@ exports[`screen snapshots > Workflows 1`] = `
</div>
</div>
<div
class="flex flex-col h-full"
class="grid grid-cols-1 lg:grid-cols-2 gap-6"
>
<div
class="flex items-center justify-between gap-4 mb-3"
class="flex flex-col h-full"
>
<div
class="flex items-center gap-2.5 min-w-0"
class="flex items-center justify-between gap-4 mb-3"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
<div
class="flex items-center gap-2.5 min-w-0"
>
1
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Lane Pipelines
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
1
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Lane Pipeline Pass Rates
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="How often each stage of your own pipelines is actually passed"
>
How often each stage of your own pipelines is actually passed
</span>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="Your own lanes and the stage each one has reached"
<div
class="card p-4 flex-1"
>
Your own lanes and the stage each one has reached
</span>
<p
class="text-sm text-fg-muted"
>
No lane has recorded a stage yet. Create one with
<code>
ccam lanes add --cwd $(pwd)
</code>
</p>
</div>
</div>
<div
class="card p-4 flex-1"
class="flex flex-col h-full"
>
<p
class="text-sm text-fg-muted"
<div
class="flex items-center justify-between gap-4 mb-3"
>
No lanes yet. Create one from a working directory:
<code>
ccam lanes add --cwd $(pwd)
</code>
</p>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
2
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Skill & Plugin Usage
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="Which skills your sessions actually reach for"
>
Which skills your sessions actually reach for
</span>
</div>
<div
class="card p-4 flex-1"
>
<p
class="text-sm text-fg-muted"
>
No skill invocation recorded yet.
</p>
</div>
</div>
</div>
<div
@@ -10525,7 +10597,7 @@ exports[`screen snapshots > Workflows 1`] = `
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
2
3
</span>
<h2
class="text-sm font-semibold text-fg-primary"
@@ -10641,7 +10713,7 @@ exports[`screen snapshots > Workflows 1`] = `
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
3
4
</span>
<h2
class="text-sm font-semibold text-fg-primary"
@@ -10832,7 +10904,507 @@ exports[`screen snapshots > Workflows 1`] = `
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
4
5
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Detected Workflow Patterns
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="Common agent orchestration sequences"
>
Common agent orchestration sequences
</span>
</div>
<div
class="card p-4 flex-1"
>
<div
class="card p-5"
>
<h2
class="text-sm font-semibold text-fg-secondary uppercase tracking-wider mb-4"
>
Workflow Patterns
</h2>
<div
class="flex flex-col items-center justify-center py-12 text-center"
>
<div
class="w-10 h-10 rounded-xl bg-surface-4 flex items-center justify-center mb-3"
>
<svg
class="lucide lucide-zap w-5 h-5 text-fg-muted"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z"
/>
</svg>
</div>
<p
class="text-sm font-medium text-fg-secondary"
>
No patterns detected yet
</p>
<p
class="text-xs text-fg-muted mt-1"
>
Patterns appear once multiple sessions share the same agent sequence.
</p>
</div>
</div>
</div>
</div>
<div
class="grid grid-cols-1 lg:grid-cols-2 gap-6"
>
<div
class="flex flex-col h-full"
>
<div
class="flex items-center justify-between gap-4 mb-3"
>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
6
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Model Delegation Flow
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="How models route through agent hierarchies"
>
How models route through agent hierarchies
</span>
</div>
<div
class="card p-4 flex-1"
>
<div
class="flex flex-col items-center justify-center py-16 gap-3 text-fg-muted"
>
<svg
aria-hidden="true"
fill="none"
height="40"
stroke="currentColor"
stroke-width="1.5"
viewBox="0 0 24 24"
width="40"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 8v4M12 16h.01"
/>
</svg>
<span
class="text-sm"
>
No model delegation data available
</span>
</div>
</div>
</div>
<div
class="flex flex-col h-full"
>
<div
class="flex items-center justify-between gap-4 mb-3"
>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
7
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Error Propagation Map
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="Where errors cluster in agent hierarchy depth"
>
Where errors cluster in agent hierarchy depth
</span>
</div>
<div
class="card p-4 flex-1"
>
<div
class="flex flex-col items-center justify-center py-16 gap-3"
>
<div
class="w-12 h-12 rounded-full bg-status-success/10 border border-status-success/20 flex items-center justify-center"
>
<svg
fill="none"
height="24"
stroke="#10b981"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
>
<path
d="M22 11.08V12a10 10 0 1 1-5.93-9.14"
/>
<polyline
points="22 4 12 14.01 9 11.01"
/>
</svg>
</div>
<span
class="text-sm text-status-success font-medium"
>
No errors recorded
</span>
<span
class="text-xs text-fg-muted"
>
All sessions completed successfully
</span>
</div>
</div>
</div>
</div>
<div
class="grid grid-cols-1 lg:grid-cols-2 gap-6"
>
<div
class="flex flex-col h-full"
>
<div
class="flex items-center justify-between gap-4 mb-3"
>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
8
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Session Complexity Scatter
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="Duration vs agent count vs tokens - Bubble size = token usage"
>
Duration vs agent count vs tokens - Bubble size = token usage
</span>
</div>
<div
class="card p-4 flex-1"
>
<div
class="flex flex-col items-center justify-center py-16 text-center"
>
<div
class="w-10 h-10 rounded-xl bg-surface-4 flex items-center justify-center mb-3"
>
<svg
class="w-5 h-5 text-fg-muted"
fill="none"
stroke="currentColor"
stroke-width="1.5"
viewBox="0 0 24 24"
>
<circle
cx="7"
cy="12"
r="3"
/>
<circle
cx="17"
cy="8"
r="2"
/>
<circle
cx="14"
cy="17"
r="4"
/>
</svg>
</div>
<p
class="text-sm font-medium text-fg-secondary"
>
No session complexity data
</p>
<p
class="text-xs text-fg-muted mt-1"
>
Sessions will appear here once they complete with agent activity.
</p>
</div>
</div>
</div>
<div
class="flex flex-col h-full"
>
<div
class="flex items-center justify-between gap-4 mb-3"
>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
9
</span>
<h2
class="text-sm font-semibold text-fg-primary"
>
Compaction Impact Analysis
</h2>
<button
aria-expanded="false"
aria-label="What this shows"
class="flex items-center justify-center rounded-full p-0.5 -m-0.5 text-fg-muted hover:text-fg-secondary transition-colors focus:outline-none focus:ring-1 focus:ring-accent/40"
type="button"
>
<svg
class="lucide lucide-info w-3.5 h-3.5"
fill="none"
height="24"
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
viewBox="0 0 24 24"
width="24"
xmlns="http://www.w3.org/2000/svg"
>
<circle
cx="12"
cy="12"
r="10"
/>
<path
d="M12 16v-4"
/>
<path
d="M12 8h.01"
/>
</svg>
</button>
</div>
<span
class="hidden lg:block flex-shrink-0 max-w-[20rem] xl:max-w-sm truncate text-right text-[11px] text-fg-muted"
title="How context compression is spread across your sessions"
>
How context compression is spread across your sessions
</span>
</div>
<div
class="card p-4 flex-1"
>
<div
class="flex flex-col items-center justify-center py-16 gap-3 text-fg-muted"
>
<svg
aria-hidden="true"
fill="none"
height="40"
stroke="currentColor"
stroke-width="1.5"
viewBox="0 0 24 24"
width="40"
>
<path
d="M9 17H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11a2 2 0 0 1 2 2v3"
/>
<path
d="M13 21l2-2 4 4"
/>
<path
d="M17 21v-6"
/>
<path
d="M21 17h-6"
/>
</svg>
<span
class="text-sm"
>
No compactions recorded
</span>
</div>
</div>
</div>
</div>
<div
class="flex flex-col h-full"
>
<div
class="flex items-center justify-between gap-4 mb-3"
>
<div
class="flex items-center gap-2.5 min-w-0"
>
<span
class="w-5 h-5 rounded-md bg-accent/15 text-accent text-[11px] font-bold flex items-center justify-center flex-shrink-0"
>
10
</span>
<h2
class="text-sm font-semibold text-fg-primary"
@@ -247,6 +247,7 @@ vi.mock("../../lib/api", async (importOriginal) => {
workflows: {
get: r(emptyWorkflow),
session: r({}),
skillUsage: r({ skills: [], plugins: [] }),
runs: r({
runs: [sampleWorkflowRun],
total: 1,
@@ -388,6 +389,7 @@ vi.mock("../../lib/api", async (importOriginal) => {
update: r({ lane: {} }),
stage: r({ lane: {} }),
pipelines: r({ pipelines: [] }),
pipelineStats: r({ pipelines: [] }),
// A realistic shape: `{}` would crash blockingReason on `blocked` if any
// screen ever opened the destructive modal.
preflight: r({