basic ai analytics created

This commit is contained in:
Owen
2026-08-11 17:52:27 -04:00
parent 0016b8fce7
commit b08e875b37
21 changed files with 2820 additions and 1 deletions
+2
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@@ -3397,6 +3397,8 @@
"aiSessionLogsDescription": "View prompt and response transcripts for AI gateway requests in this organization",
"sidebarLogsAi": "AI Session Logs",
"commandLogsAi": "AI Session Logs",
"sidebarLogsAiUsage": "AI Usage Analytics",
"commandLogsAiUsage": "AI Usage Analytics",
"provider": "Provider",
"capability": "Capability",
"model": "Model",
@@ -0,0 +1,170 @@
import { and, eq, gte, lte, or, inArray, sql } from "drizzle-orm";
import { aiUsageRecords, userOrgRoles, driver, db } from "@server/db";
import { z } from "zod";
import { getSevenDaysAgo } from "@app/lib/getSevenDaysAgo";
// Cap on how many distinct series a trend chart will plot before collapsing
// the remainder into an "other" bucket - matches the theme's 5 categorical
// chart colors (--chart-1..--chart-5).
export const TOP_N = 5;
// Same guard used by queryRequestAnalytics/queryAiSessionLog for distinct
// breakdown lists.
export const DISTINCT_LIMIT = 500;
export const aiUsageAnalyticsFiltersQuery = z.object({
timeStart: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeStart must be a valid ISO date string"
})
.transform((val) => new Date(val).getTime())
.prefault(() => getSevenDaysAgo().toISOString())
.openapi({
type: "string",
format: "date-time",
description:
"Start time as ISO date string (defaults to 7 days ago)"
}),
timeEnd: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeEnd must be a valid ISO date string"
})
.transform((val) => new Date(val).getTime())
.prefault(() => new Date().toISOString())
.openapi({
type: "string",
format: "date-time",
description:
"End time as ISO date string (defaults to current time)"
}),
providerId: z
.string()
.optional()
.transform(Number)
.pipe(z.int().positive())
.optional(),
model: z.string().optional(),
resourceId: z
.string()
.optional()
.transform(Number)
.pipe(z.int().positive())
.optional(),
roleId: z
.string()
.optional()
.transform(Number)
.pipe(z.int().positive())
.optional(),
userId: z.string().optional()
});
export const aiUsageAnalyticsParams = z.object({
orgId: z.string()
});
export const aiUsageAnalyticsCombined = aiUsageAnalyticsFiltersQuery.merge(
aiUsageAnalyticsParams
);
export type AiUsageAnalyticsQuery = z.infer<typeof aiUsageAnalyticsCombined>;
// A role has no column on aiUsageRecords - it's derived by resolving the
// role's members to userIds first, then filtering on userId. If the role has
// no members we still need the filter to exclude everything rather than be
// silently ignored, hence the sentinel value.
export async function resolveRoleUserIds(
orgId: string,
roleId?: number
): Promise<string[] | undefined> {
if (!roleId) {
return undefined;
}
const rows = await db
.select({ userId: userOrgRoles.userId })
.from(userOrgRoles)
.where(
and(eq(userOrgRoles.orgId, orgId), eq(userOrgRoles.roleId, roleId))
);
return rows.length > 0
? rows.map((r) => r.userId)
: ["__no_users_in_role__"];
}
export function buildAiUsageWhere(
data: AiUsageAnalyticsQuery,
roleUserIds?: string[]
) {
return and(
eq(aiUsageRecords.orgId, data.orgId),
gte(aiUsageRecords.createdAt, data.timeStart),
lte(aiUsageRecords.createdAt, data.timeEnd),
data.providerId
? eq(aiUsageRecords.providerId, data.providerId)
: undefined,
data.model ? eq(aiUsageRecords.requestedModel, data.model) : undefined,
data.resourceId
? or(
eq(aiUsageRecords.resourceId, data.resourceId),
eq(aiUsageRecords.siteResourceId, data.resourceId)
)
: undefined,
data.userId ? eq(aiUsageRecords.userId, data.userId) : undefined,
roleUserIds ? inArray(aiUsageRecords.userId, roleUserIds) : undefined
);
}
// Buckets createdAt (epoch ms) down to a per-day string, dialect-aware, same
// approach as the DATE_TRUNC/DATE branch in queryRequestAnalytics.ts.
export function dayBucketExpr() {
return driver === "pg"
? sql<string>`DATE_TRUNC('day', TO_TIMESTAMP(${aiUsageRecords.createdAt} / 1000.0))`
: sql<string>`DATE(${aiUsageRecords.createdAt} / 1000, 'unixepoch')`;
}
export type DailyMetricRow<K extends string> = {
day: string;
key: K;
value: number;
};
// Ranks dimension keys by total value and returns the top N.
export function pickTopNKeys<K extends string>(
totals: Map<K, number>,
n: number = TOP_N
): K[] {
return [...totals.entries()]
.sort((a, b) => b[1] - a[1])
.slice(0, n)
.map(([key]) => key);
}
export interface DayValueRow {
day: string;
[seriesKey: string]: number | string;
}
// Collapses per-day, per-key rows into a per-day series object, folding
// anything outside `topKeys` into a shared "other" series.
export function bucketTopNPerDay<K extends string>(
rows: DailyMetricRow<K>[],
topKeys: K[]
): DayValueRow[] {
const topSet = new Set<string>(topKeys);
const byDay = new Map<string, Record<string, number>>();
for (const row of rows) {
const seriesKey = topSet.has(row.key) ? row.key : "other";
const dayEntry = byDay.get(row.day) ?? {};
dayEntry[seriesKey] = (dayEntry[seriesKey] ?? 0) + row.value;
byDay.set(row.day, dayEntry);
}
return [...byDay.entries()]
.sort(([a], [b]) => a.localeCompare(b))
.map(([day, values]) => ({ day, ...values }));
}
+5
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@@ -3,3 +3,8 @@ export * from "./queryRequestAnalytics";
export * from "./exportRequestAuditLog";
export * from "./queryAiSessionLog";
export * from "./exportAiSessionLog";
export * from "./queryAiUsageFilterOptions";
export * from "./queryAiUsageOverview";
export * from "./queryAiUsageProviders";
export * from "./queryAiUsageResources";
export * from "./queryAiUsageUsersRoles";
@@ -0,0 +1,269 @@
import {
db,
aiUsageRecords,
aiProviders,
resources,
siteResources,
users,
roles,
userOrgRoles
} from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { and, eq, gte, lte, inArray, isNull, not } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import { getSevenDaysAgo } from "@app/lib/getSevenDaysAgo";
import { DISTINCT_LIMIT } from "./aiUsageAnalyticsShared";
const queryAiUsageFilterOptionsQuery = z.object({
timeStart: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeStart must be a valid ISO date string"
})
.transform((val) => new Date(val).getTime())
.prefault(() => getSevenDaysAgo().toISOString()),
timeEnd: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeEnd must be a valid ISO date string"
})
.transform((val) => new Date(val).getTime())
.prefault(() => new Date().toISOString())
});
const queryAiUsageFilterOptionsParams = z.object({
orgId: z.string()
});
const queryAiUsageFilterOptionsCombined =
queryAiUsageFilterOptionsQuery.merge(queryAiUsageFilterOptionsParams);
type Q = z.infer<typeof queryAiUsageFilterOptionsCombined>;
function sortNamedFilterOptions<T extends { id: number; name: string | null }>(
items: T[]
): T[] {
return [...items].sort((a, b) => {
const nameA = a.name ?? "";
const nameB = b.name ?? "";
if (nameA < nameB) return -1;
if (nameA > nameB) return 1;
return a.id - b.id;
});
}
async function query(data: Q) {
const baseConditions = and(
eq(aiUsageRecords.orgId, data.orgId),
gte(aiUsageRecords.createdAt, data.timeStart),
lte(aiUsageRecords.createdAt, data.timeEnd)
);
const [
uniqueProviders,
uniqueModels,
uniqueResources,
uniqueSiteResources,
uniqueUsers
] = await Promise.all([
db
.selectDistinct({ id: aiUsageRecords.providerId })
.from(aiUsageRecords)
.where(baseConditions)
.limit(DISTINCT_LIMIT + 1),
db
.selectDistinct({ model: aiUsageRecords.requestedModel })
.from(aiUsageRecords)
.where(baseConditions)
.limit(DISTINCT_LIMIT + 1),
db
.selectDistinct({ id: aiUsageRecords.resourceId })
.from(aiUsageRecords)
.where(and(baseConditions, not(isNull(aiUsageRecords.resourceId))))
.limit(DISTINCT_LIMIT + 1),
db
.selectDistinct({ id: aiUsageRecords.siteResourceId })
.from(aiUsageRecords)
.where(
and(
baseConditions,
isNull(aiUsageRecords.resourceId),
not(isNull(aiUsageRecords.siteResourceId))
)
)
.limit(DISTINCT_LIMIT + 1),
db
.selectDistinct({ userId: aiUsageRecords.userId })
.from(aiUsageRecords)
.where(and(baseConditions, not(isNull(aiUsageRecords.userId))))
.limit(DISTINCT_LIMIT + 1)
]);
const models = uniqueModels
.map((row) => row.model)
.filter((model): model is string => model !== null)
.sort();
const providerIds = uniqueProviders
.map((row) => row.id)
.filter((id): id is number => id !== null);
let providers: Array<{ id: number; name: string | null }> = [];
if (providerIds.length > 0) {
const providerDetails = await db
.select({ providerId: aiProviders.providerId, name: aiProviders.name })
.from(aiProviders)
.where(inArray(aiProviders.providerId, providerIds));
providers = providerDetails.map((p) => ({ id: p.providerId, name: p.name }));
}
const resourceIds = uniqueResources
.map((row) => row.id)
.filter((id): id is number => id !== null);
const siteResourceIds = uniqueSiteResources
.map((row) => row.id)
.filter((id): id is number => id !== null);
let resourcesWithNames: Array<{ id: number; name: string | null }> = [];
if (resourceIds.length > 0) {
const resourceDetails = await db
.select({ resourceId: resources.resourceId, name: resources.name })
.from(resources)
.where(inArray(resources.resourceId, resourceIds));
resourcesWithNames = resourcesWithNames.concat(
resourceDetails.map((r) => ({ id: r.resourceId, name: r.name }))
);
}
if (siteResourceIds.length > 0) {
const siteResourceDetails = await db
.select({
siteResourceId: siteResources.siteResourceId,
name: siteResources.name
})
.from(siteResources)
.where(inArray(siteResources.siteResourceId, siteResourceIds));
resourcesWithNames = resourcesWithNames.concat(
siteResourceDetails.map((r) => ({ id: r.siteResourceId, name: r.name }))
);
}
const userIds = uniqueUsers
.map((row) => row.userId)
.filter((id): id is string => id !== null);
let userList: Array<{ id: string; email: string | null }> = [];
let roleList: Array<{ id: number; name: string | null }> = [];
if (userIds.length > 0) {
const userDetails = await db
.select({ userId: users.userId, email: users.email })
.from(users)
.where(inArray(users.userId, userIds));
userList = userDetails.map((u) => ({ id: u.userId, email: u.email }));
const roleRows = await db
.select({ roleId: roles.roleId, name: roles.name })
.from(userOrgRoles)
.innerJoin(roles, eq(userOrgRoles.roleId, roles.roleId))
.where(
and(
eq(userOrgRoles.orgId, data.orgId),
inArray(userOrgRoles.userId, userIds)
)
);
const roleMap = new Map<number, string | null>();
for (const r of roleRows) {
roleMap.set(r.roleId, r.name);
}
roleList = [...roleMap.entries()].map(([id, name]) => ({ id, name }));
}
return {
providers: sortNamedFilterOptions(providers),
resources: sortNamedFilterOptions(resourcesWithNames),
roles: sortNamedFilterOptions(roleList),
users: userList,
models
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/filters",
description:
"Query the distinct filter options (providers, models, resources, roles, users) available for AI usage analytics within a time range",
tags: [OpenAPITags.Logs],
request: {
query: queryAiUsageFilterOptionsQuery,
params: queryAiUsageFilterOptionsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageFilterOptionsResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageFilterOptions(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = queryAiUsageFilterOptionsQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = queryAiUsageFilterOptionsParams.safeParse(
req.params
);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageFilterOptionsResponse>(res, {
data,
success: true,
error: false,
message: "AI usage filter options retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,228 @@
import { db, aiUsageRecords } from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { and, count, desc, eq, sql } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import {
aiUsageAnalyticsFiltersQuery,
aiUsageAnalyticsParams,
aiUsageAnalyticsCombined,
buildAiUsageWhere,
resolveRoleUserIds,
dayBucketExpr,
pickTopNKeys,
bucketTopNPerDay,
DISTINCT_LIMIT,
type AiUsageAnalyticsQuery
} from "./aiUsageAnalyticsShared";
type Q = AiUsageAnalyticsQuery;
async function query(data: Q) {
const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
const baseConditions = buildAiUsageWhere(data, roleUserIds);
const [totalsRow] = await db
.select({
requests: count(),
promptTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.promptTokens}), 0)`,
cacheReadTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.cacheReadTokens}), 0)`,
cacheWriteTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.cacheWriteTokens}), 0)`,
completionTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.completionTokens}), 0)`,
reasoningTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.reasoningTokens}), 0)`,
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
estimatedRequests: sql<number>`SUM(CASE WHEN ${aiUsageRecords.estimated} THEN 1 ELSE 0 END)`
})
.from(aiUsageRecords)
.where(baseConditions);
const dayExpr = dayBucketExpr();
const requestsPerDay = await db
.select({
day: dayExpr.as("day"),
requests: count()
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr)
.orderBy(dayExpr);
const tokensPerDay = await db
.select({
day: dayExpr.as("day"),
promptTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.promptTokens}), 0)`,
cacheReadTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.cacheReadTokens}), 0)`,
cacheWriteTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.cacheWriteTokens}), 0)`,
completionTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.completionTokens}), 0)`,
reasoningTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.reasoningTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr)
.orderBy(dayExpr);
const costPerDay = await db
.select({
day: dayExpr.as("day"),
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr)
.orderBy(dayExpr);
const modelByDay = await db
.select({
day: dayExpr.as("day"),
model: aiUsageRecords.requestedModel,
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr, aiUsageRecords.requestedModel)
.orderBy(dayExpr);
const modelCostTotals = new Map<string, number>();
const modelTokenTotals = new Map<string, number>();
for (const row of modelByDay) {
modelCostTotals.set(
row.model,
(modelCostTotals.get(row.model) ?? 0) + row.cost
);
modelTokenTotals.set(
row.model,
(modelTokenTotals.get(row.model) ?? 0) + row.tokens
);
}
const topModelsByCost = pickTopNKeys(modelCostTotals);
const topModelsByTokens = pickTopNKeys(modelTokenTotals);
const modelCostPerDay = bucketTopNPerDay(
modelByDay.map((r) => ({ day: r.day, key: r.model, value: r.cost })),
topModelsByCost
);
const modelTokensPerDay = bucketTopNPerDay(
modelByDay.map((r) => ({ day: r.day, key: r.model, value: r.tokens })),
topModelsByTokens
);
const topModelsRaw = await db
.select({
model: aiUsageRecords.requestedModel,
requests: count(),
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(aiUsageRecords.requestedModel)
.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
.limit(DISTINCT_LIMIT + 1);
if (topModelsRaw.length > DISTINCT_LIMIT) {
throw createHttpError(
HttpCode.BAD_REQUEST,
"Too many distinct models. Please narrow your query."
);
}
return {
totalRequests: totalsRow.requests,
totalTokens: totalsRow.totalTokens,
totalCost: totalsRow.costUsd,
estimatedPercent:
totalsRow.requests > 0
? (totalsRow.estimatedRequests / totalsRow.requests) * 100
: 0,
tokenBreakdown: {
promptTokens: totalsRow.promptTokens,
cacheReadTokens: totalsRow.cacheReadTokens,
cacheWriteTokens: totalsRow.cacheWriteTokens,
completionTokens: totalsRow.completionTokens,
reasoningTokens: totalsRow.reasoningTokens
},
requestsPerDay,
tokensPerDay,
costPerDay,
modelCostPerDay,
modelTokensPerDay,
topModels: topModelsRaw
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/overview",
description: "Query the AI usage analytics overview for an organization",
tags: [OpenAPITags.Logs],
request: {
query: aiUsageAnalyticsFiltersQuery,
params: aiUsageAnalyticsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageOverviewResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageOverview(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageOverviewResponse>(res, {
data,
success: true,
error: false,
message: "AI usage overview retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,183 @@
import { db, aiUsageRecords, aiProviders } from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { count, desc, inArray, sql } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import {
aiUsageAnalyticsFiltersQuery,
aiUsageAnalyticsParams,
buildAiUsageWhere,
resolveRoleUserIds,
dayBucketExpr,
pickTopNKeys,
bucketTopNPerDay,
DISTINCT_LIMIT,
type AiUsageAnalyticsQuery
} from "./aiUsageAnalyticsShared";
type Q = AiUsageAnalyticsQuery;
async function query(data: Q) {
const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
const baseConditions = buildAiUsageWhere(data, roleUserIds);
const dayExpr = dayBucketExpr();
const providerByDay = await db
.select({
day: dayExpr.as("day"),
providerId: aiUsageRecords.providerId,
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr, aiUsageRecords.providerId)
.orderBy(dayExpr);
const costTotals = new Map<string, number>();
const tokenTotals = new Map<string, number>();
for (const row of providerByDay) {
const key = String(row.providerId);
costTotals.set(key, (costTotals.get(key) ?? 0) + row.cost);
tokenTotals.set(key, (tokenTotals.get(key) ?? 0) + row.tokens);
}
const topByCost = pickTopNKeys(costTotals);
const topByTokens = pickTopNKeys(tokenTotals);
const providerCostPerDay = bucketTopNPerDay(
providerByDay.map((r) => ({
day: r.day,
key: String(r.providerId),
value: r.cost
})),
topByCost
);
const providerTokensPerDay = bucketTopNPerDay(
providerByDay.map((r) => ({
day: r.day,
key: String(r.providerId),
value: r.tokens
})),
topByTokens
);
const topProvidersRaw = await db
.select({
providerId: aiUsageRecords.providerId,
requests: count(),
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(aiUsageRecords.providerId)
.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
.limit(DISTINCT_LIMIT + 1);
if (topProvidersRaw.length > DISTINCT_LIMIT) {
throw createHttpError(
HttpCode.BAD_REQUEST,
"Too many distinct providers. Please narrow your query."
);
}
const providerIds = topProvidersRaw.map((r) => r.providerId);
const nameMap = new Map<number, string | null>();
if (providerIds.length > 0) {
const providerDetails = await db
.select({ providerId: aiProviders.providerId, name: aiProviders.name })
.from(aiProviders)
.where(inArray(aiProviders.providerId, providerIds));
for (const p of providerDetails) {
nameMap.set(p.providerId, p.name);
}
}
const topProviders = topProvidersRaw.map((r) => ({
providerId: r.providerId,
name: nameMap.get(r.providerId) ?? null,
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
}));
return {
providerCostPerDay,
providerTokensPerDay,
topProviders
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/providers",
description: "Query the AI usage analytics provider breakdown for an organization",
tags: [OpenAPITags.Logs],
request: {
query: aiUsageAnalyticsFiltersQuery,
params: aiUsageAnalyticsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageProvidersResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageProviders(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageProvidersResponse>(res, {
data,
success: true,
error: false,
message: "AI usage provider breakdown retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,222 @@
import { db, aiUsageRecords, resources, siteResources } from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { count, desc, inArray, sql } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import {
aiUsageAnalyticsFiltersQuery,
aiUsageAnalyticsParams,
buildAiUsageWhere,
resolveRoleUserIds,
dayBucketExpr,
pickTopNKeys,
bucketTopNPerDay,
DISTINCT_LIMIT,
type AiUsageAnalyticsQuery
} from "./aiUsageAnalyticsShared";
type Q = AiUsageAnalyticsQuery;
// Composite key namespacing resourceId ("r:") vs siteResourceId ("s:") since
// the two id spaces are independent and can overlap numerically.
function resourceKey(resourceId: number | null, siteResourceId: number | null) {
if (resourceId != null) return `r:${resourceId}`;
if (siteResourceId != null) return `s:${siteResourceId}`;
return "none";
}
async function query(data: Q) {
const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
const baseConditions = buildAiUsageWhere(data, roleUserIds);
const dayExpr = dayBucketExpr();
const resourceByDay = await db
.select({
day: dayExpr.as("day"),
resourceId: aiUsageRecords.resourceId,
siteResourceId: aiUsageRecords.siteResourceId,
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr, aiUsageRecords.resourceId, aiUsageRecords.siteResourceId)
.orderBy(dayExpr);
const costTotals = new Map<string, number>();
const tokenTotals = new Map<string, number>();
for (const row of resourceByDay) {
const key = resourceKey(row.resourceId, row.siteResourceId);
costTotals.set(key, (costTotals.get(key) ?? 0) + row.cost);
tokenTotals.set(key, (tokenTotals.get(key) ?? 0) + row.tokens);
}
const topByCost = pickTopNKeys(costTotals);
const topByTokens = pickTopNKeys(tokenTotals);
const resourceCostPerDay = bucketTopNPerDay(
resourceByDay.map((r) => ({
day: r.day,
key: resourceKey(r.resourceId, r.siteResourceId),
value: r.cost
})),
topByCost
);
const resourceTokensPerDay = bucketTopNPerDay(
resourceByDay.map((r) => ({
day: r.day,
key: resourceKey(r.resourceId, r.siteResourceId),
value: r.tokens
})),
topByTokens
);
const topResourcesRaw = await db
.select({
resourceId: aiUsageRecords.resourceId,
siteResourceId: aiUsageRecords.siteResourceId,
requests: count(),
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(aiUsageRecords.resourceId, aiUsageRecords.siteResourceId)
.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
.limit(DISTINCT_LIMIT + 1);
if (topResourcesRaw.length > DISTINCT_LIMIT) {
throw createHttpError(
HttpCode.BAD_REQUEST,
"Too many distinct resources. Please narrow your query."
);
}
const resourceIds = topResourcesRaw
.map((r) => r.resourceId)
.filter((id): id is number => id !== null);
const siteResourceIds = topResourcesRaw
.map((r) => r.siteResourceId)
.filter((id): id is number => id !== null);
const nameMap = new Map<string, string | null>();
if (resourceIds.length > 0) {
const resourceDetails = await db
.select({ resourceId: resources.resourceId, name: resources.name })
.from(resources)
.where(inArray(resources.resourceId, resourceIds));
for (const r of resourceDetails) {
nameMap.set(`r:${r.resourceId}`, r.name);
}
}
if (siteResourceIds.length > 0) {
const siteResourceDetails = await db
.select({
siteResourceId: siteResources.siteResourceId,
name: siteResources.name
})
.from(siteResources)
.where(inArray(siteResources.siteResourceId, siteResourceIds));
for (const r of siteResourceDetails) {
nameMap.set(`s:${r.siteResourceId}`, r.name);
}
}
const topResources = topResourcesRaw.map((r) => {
const key = resourceKey(r.resourceId, r.siteResourceId);
return {
key,
resourceId: r.resourceId,
siteResourceId: r.siteResourceId,
type:
r.resourceId != null
? ("public" as const)
: r.siteResourceId != null
? ("site" as const)
: null,
name: nameMap.get(key) ?? null,
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
};
});
return {
resourceCostPerDay,
resourceTokensPerDay,
topResources
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/resources",
description: "Query the AI usage analytics resource breakdown for an organization",
tags: [OpenAPITags.Logs],
request: {
query: aiUsageAnalyticsFiltersQuery,
params: aiUsageAnalyticsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageResourcesResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageResources(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageResourcesResponse>(res, {
data,
success: true,
error: false,
message: "AI usage resource breakdown retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,271 @@
import { db, aiUsageRecords, users, roles, userOrgRoles } from "@server/db";
import { registry } from "@server/openApi";
import { NextFunction } from "express";
import { Request, Response } from "express";
import { and, count, desc, eq, inArray, sql } from "drizzle-orm";
import { OpenAPITags } from "@server/openApi";
import { z } from "zod";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { fromError } from "zod-validation-error";
import response from "@server/lib/response";
import logger from "@server/logger";
import {
aiUsageAnalyticsFiltersQuery,
aiUsageAnalyticsParams,
buildAiUsageWhere,
resolveRoleUserIds,
dayBucketExpr,
pickTopNKeys,
bucketTopNPerDay,
DISTINCT_LIMIT,
type AiUsageAnalyticsQuery
} from "./aiUsageAnalyticsShared";
type Q = AiUsageAnalyticsQuery;
const UNKNOWN_USER_KEY = "unknown";
async function query(data: Q) {
const roleUserIds = await resolveRoleUserIds(data.orgId, data.roleId);
const baseConditions = buildAiUsageWhere(data, roleUserIds);
const dayExpr = dayBucketExpr();
// Per (day, user) is the common granularity both the user trend charts and
// the role trend charts are built from - a usage record only stores
// userId, so role totals are derived by expanding each user's usage into
// every role they hold in the org (per-role double counting for
// multi-role users is expected/accepted).
const userByDay = await db
.select({
day: dayExpr.as("day"),
userId: aiUsageRecords.userId,
cost: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`,
tokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(dayExpr, aiUsageRecords.userId)
.orderBy(dayExpr);
const userTotalsRaw = await db
.select({
userId: aiUsageRecords.userId,
requests: count(),
totalTokens: sql<number>`COALESCE(SUM(${aiUsageRecords.totalTokens}), 0)`,
costUsd: sql<number>`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`
})
.from(aiUsageRecords)
.where(baseConditions)
.groupBy(aiUsageRecords.userId)
.orderBy(desc(sql`COALESCE(SUM(${aiUsageRecords.costUsd}), 0)`))
.limit(DISTINCT_LIMIT + 1);
if (userTotalsRaw.length > DISTINCT_LIMIT) {
throw createHttpError(
HttpCode.BAD_REQUEST,
"Too many distinct users. Please narrow your query."
);
}
const userIds = userTotalsRaw
.map((r) => r.userId)
.filter((id): id is string => id !== null);
const emailMap = new Map<string, string | null>();
if (userIds.length > 0) {
const userDetails = await db
.select({ userId: users.userId, email: users.email })
.from(users)
.where(inArray(users.userId, userIds));
for (const u of userDetails) {
emailMap.set(u.userId, u.email);
}
}
const topUsers = userTotalsRaw.map((r) => ({
userId: r.userId,
email: r.userId ? emailMap.get(r.userId) ?? null : null,
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
}));
const userCostTotals = new Map<string, number>();
const userTokenTotals = new Map<string, number>();
for (const row of userByDay) {
const key = row.userId ?? UNKNOWN_USER_KEY;
userCostTotals.set(key, (userCostTotals.get(key) ?? 0) + row.cost);
userTokenTotals.set(key, (userTokenTotals.get(key) ?? 0) + row.tokens);
}
const topUsersByCost = pickTopNKeys(userCostTotals);
const topUsersByTokens = pickTopNKeys(userTokenTotals);
const userCostPerDay = bucketTopNPerDay(
userByDay.map((r) => ({
day: r.day,
key: r.userId ?? UNKNOWN_USER_KEY,
value: r.cost
})),
topUsersByCost
);
const userTokensPerDay = bucketTopNPerDay(
userByDay.map((r) => ({
day: r.day,
key: r.userId ?? UNKNOWN_USER_KEY,
value: r.tokens
})),
topUsersByTokens
);
// Resolve every user's role membership(s) in this org so usage can be
// expanded into per-role totals.
const userToRoles = new Map<string, { roleId: number; name: string | null }[]>();
if (userIds.length > 0) {
const roleRows = await db
.select({
userId: userOrgRoles.userId,
roleId: roles.roleId,
name: roles.name
})
.from(userOrgRoles)
.innerJoin(roles, eq(userOrgRoles.roleId, roles.roleId))
.where(
and(
eq(userOrgRoles.orgId, data.orgId),
inArray(userOrgRoles.userId, userIds)
)
);
for (const row of roleRows) {
const existing = userToRoles.get(row.userId) ?? [];
existing.push({ roleId: row.roleId, name: row.name });
userToRoles.set(row.userId, existing);
}
}
const roleTotals = new Map<
number,
{ name: string | null; requests: number; totalTokens: number; costUsd: number }
>();
for (const r of userTotalsRaw) {
if (!r.userId) continue;
const userRoles = userToRoles.get(r.userId) ?? [];
for (const role of userRoles) {
const existing = roleTotals.get(role.roleId) ?? {
name: role.name,
requests: 0,
totalTokens: 0,
costUsd: 0
};
existing.requests += r.requests;
existing.totalTokens += r.totalTokens;
existing.costUsd += r.costUsd;
roleTotals.set(role.roleId, existing);
}
}
const topRoles = [...roleTotals.entries()]
.map(([roleId, v]) => ({ roleId, ...v }))
.sort((a, b) => b.costUsd - a.costUsd);
const roleCostRows: { day: string; key: string; value: number }[] = [];
const roleTokenRows: { day: string; key: string; value: number }[] = [];
for (const row of userByDay) {
if (!row.userId) continue;
const userRoles = userToRoles.get(row.userId) ?? [];
for (const role of userRoles) {
roleCostRows.push({ day: row.day, key: String(role.roleId), value: row.cost });
roleTokenRows.push({ day: row.day, key: String(role.roleId), value: row.tokens });
}
}
const roleCostTotals = new Map<string, number>();
const roleTokenTotals = new Map<string, number>();
for (const row of roleCostRows) {
roleCostTotals.set(row.key, (roleCostTotals.get(row.key) ?? 0) + row.value);
}
for (const row of roleTokenRows) {
roleTokenTotals.set(row.key, (roleTokenTotals.get(row.key) ?? 0) + row.value);
}
const topRolesByCost = pickTopNKeys(roleCostTotals);
const topRolesByTokens = pickTopNKeys(roleTokenTotals);
const roleCostPerDay = bucketTopNPerDay(roleCostRows, topRolesByCost);
const roleTokensPerDay = bucketTopNPerDay(roleTokenRows, topRolesByTokens);
return {
topUsers,
userCostPerDay,
userTokensPerDay,
topRoles,
roleCostPerDay,
roleTokensPerDay
};
}
registry.registerPath({
method: "get",
path: "/org/{orgId}/logs/ai/usage/users-roles",
description:
"Query the AI usage analytics user and role breakdown for an organization",
tags: [OpenAPITags.Logs],
request: {
query: aiUsageAnalyticsFiltersQuery,
params: aiUsageAnalyticsParams
},
responses: {
200: {
description: "Successful response",
content: {
"application/json": {
schema: z.object({
data: z.record(z.string(), z.any()).nullable(),
success: z.boolean(),
error: z.boolean(),
message: z.string(),
status: z.number()
})
}
}
}
}
});
export type QueryAiUsageUsersRolesResponse = Awaited<ReturnType<typeof query>>;
export async function queryAiUsageUsersRoles(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = aiUsageAnalyticsFiltersQuery.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedQuery.error))
);
}
const parsedParams = aiUsageAnalyticsParams.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error))
);
}
const data = await query({ ...parsedQuery.data, ...parsedParams.data });
return response<QueryAiUsageUsersRolesResponse>(res, {
data,
success: true,
error: false,
message: "AI usage user/role breakdown retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+35
View File
@@ -1502,6 +1502,41 @@ authenticated.get(
logs.exportAiSessionLogs
);
authenticated.get(
"/org/:orgId/logs/ai/usage/filters",
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageFilterOptions
);
authenticated.get(
"/org/:orgId/logs/ai/usage/overview",
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageOverview
);
authenticated.get(
"/org/:orgId/logs/ai/usage/providers",
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageProviders
);
authenticated.get(
"/org/:orgId/logs/ai/usage/resources",
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageResources
);
authenticated.get(
"/org/:orgId/logs/ai/usage/users-roles",
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageUsersRoles
);
authenticated.get(
"/org/:orgId/blueprints",
verifyOrgAccess,
+35
View File
@@ -1545,6 +1545,41 @@ authenticated.get(
logs.exportAiSessionLogs
);
authenticated.get(
"/org/:orgId/logs/ai/usage/filters",
verifyApiKeyOrgAccess,
verifyApiKeyHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageFilterOptions
);
authenticated.get(
"/org/:orgId/logs/ai/usage/overview",
verifyApiKeyOrgAccess,
verifyApiKeyHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageOverview
);
authenticated.get(
"/org/:orgId/logs/ai/usage/providers",
verifyApiKeyOrgAccess,
verifyApiKeyHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageProviders
);
authenticated.get(
"/org/:orgId/logs/ai/usage/resources",
verifyApiKeyOrgAccess,
verifyApiKeyHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageResources
);
authenticated.get(
"/org/:orgId/logs/ai/usage/users-roles",
verifyApiKeyOrgAccess,
verifyApiKeyHasAction(ActionsEnum.viewLogs),
logs.queryAiUsageUsersRoles
);
authenticated.get(
"/org/:orgId/logs/analytics",
verifyApiKeyOrgAccess,
@@ -0,0 +1,30 @@
import { AiUsageAnalyticsData } from "@app/components/AiUsageAnalyticsData";
import SettingsSectionTitle from "@app/components/SettingsSectionTitle";
import type { Metadata } from "next";
export const metadata: Metadata = {
title: "AI Usage Analytics"
};
export interface AiUsageAnalyticsPageProps {
params: Promise<{ orgId: string }>;
}
export default async function AiUsageAnalyticsPage(
props: AiUsageAnalyticsPageProps
) {
const orgId = (await props.params).orgId;
return (
<>
<SettingsSectionTitle
title="AI Usage Analytics"
description="Analyze AI gateway cost, token usage, and activity across providers, resources, roles, and users"
/>
<div className="container mx-auto max-w-12xl">
<AiUsageAnalyticsData orgId={orgId} />
</div>
</>
);
}
+11
View File
@@ -8,6 +8,7 @@ import {
Building2,
Cable,
ChartLine,
Coins,
Combine,
CreditCard,
Fingerprint,
@@ -233,6 +234,11 @@ export const orgNavSections = (
href: "/{orgId}/settings/logs/ai",
icon: <Bot className="size-4 flex-none" />
},
{
title: "sidebarLogsAiUsage",
href: "/{orgId}/settings/logs/ai-usage",
icon: <Coins className="size-4 flex-none" />
},
...(!env?.flags.disableEnterpriseFeatures
? [
{
@@ -532,6 +538,11 @@ export const commandBarNavSections = (
href: "/{orgId}/settings/logs/ai",
icon: <Bot className="size-4 flex-none" />
},
{
title: "commandLogsAiUsage",
href: "/{orgId}/settings/logs/ai-usage",
icon: <Coins className="size-4 flex-none" />
},
...(!env?.flags.disableEnterpriseFeatures
? [
{
+297
View File
@@ -0,0 +1,297 @@
"use client";
import { cn } from "@app/lib/cn";
import {
aiUsageAnalyticsFiltersSchema,
aiUsageAnalyticsQueries,
type AiUsageAnalyticsFilters
} from "@app/lib/queries";
import { useIsFetching, useQuery, useQueryClient } from "@tanstack/react-query";
import { RefreshCw, XIcon } from "lucide-react";
import { usePathname, useRouter, useSearchParams } from "next/navigation";
import { DateRangePicker, type DateTimeValue } from "./DateTimePicker";
import { Button } from "./ui/button";
import { Card, CardHeader } from "./ui/card";
import { Label } from "./ui/label";
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue
} from "./ui/select";
import { Separator } from "./ui/separator";
import { getSevenDaysAgo } from "@app/lib/getSevenDaysAgo";
import { HorizontalTabs, type TabItem } from "./HorizontalTabs";
import { OverviewTab } from "./ai-usage-analytics/OverviewTab";
import { ProvidersTab } from "./ai-usage-analytics/ProvidersTab";
import { ResourcesTab } from "./ai-usage-analytics/ResourcesTab";
import { UsersRolesTab } from "./ai-usage-analytics/UsersRolesTab";
export type AiUsageAnalyticsDataProps = {
orgId: string;
};
const AI_USAGE_ANALYTICS_QUERY_PREFIX = ["AI_USAGE_ANALYTICS"];
export function AiUsageAnalyticsData(props: AiUsageAnalyticsDataProps) {
const searchParams = useSearchParams();
const path = usePathname();
const router = useRouter();
const queryClient = useQueryClient();
const filters = aiUsageAnalyticsFiltersSchema.parse(
Object.fromEntries(searchParams.entries())
);
const isEmptySearchParams = Object.values(filters).every(
(v) => v === undefined
);
const dateRange = {
startDate: filters.timeStart
? new Date(filters.timeStart)
: getSevenDaysAgo(),
endDate: filters.timeEnd ? new Date(filters.timeEnd) : new Date()
};
const { data: filterOptions } = useQuery(
aiUsageAnalyticsQueries.filterOptions({
orgId: props.orgId,
filters: {
timeStart: filters.timeStart,
timeEnd: filters.timeEnd
}
})
);
const isFetching =
useIsFetching({
queryKey: [...AI_USAGE_ANALYTICS_QUERY_PREFIX, props.orgId]
}) > 0;
function setFilter(key: keyof AiUsageAnalyticsFilters, value?: string) {
const newSearch = new URLSearchParams(searchParams);
newSearch.delete(key);
if (value !== undefined) {
newSearch.set(key, value);
}
router.replace(`${path}?${newSearch.toString()}`);
}
function handleTimeRangeUpdate(start: DateTimeValue, end: DateTimeValue) {
const newSearch = new URLSearchParams(searchParams);
const timeRegex =
/^(?<hours>\d{1,2})\:(?<minutes>\d{1,2})(\:(?<seconds>\d{1,2}))?$/;
if (start.date) {
const startDate = new Date(start.date);
if (start.time) {
const time = timeRegex.exec(start.time);
const groups = time?.groups ?? {};
startDate.setHours(Number(groups.hours));
startDate.setMinutes(Number(groups.minutes));
if (groups.seconds) {
startDate.setSeconds(Number(groups.seconds));
}
}
newSearch.set("timeStart", startDate.toISOString());
}
if (end.date) {
const endDate = new Date(end.date);
if (end.time) {
const time = timeRegex.exec(end.time);
const groups = time?.groups ?? {};
endDate.setHours(Number(groups.hours));
endDate.setMinutes(Number(groups.minutes));
if (groups.seconds) {
endDate.setSeconds(Number(groups.seconds));
}
}
newSearch.set("timeEnd", endDate.toISOString());
}
router.replace(`${path}?${newSearch.toString()}`);
}
function getDateTime(date: Date) {
return `${date.getHours()}:${date.getMinutes()}`;
}
const providerOptions = (filterOptions?.providers ?? []).map((p) => ({
value: String(p.id),
label: p.name ?? `Provider #${p.id}`
}));
const modelOptions = (filterOptions?.models ?? []).map((m) => ({
value: m,
label: m
}));
const resourceOptions = (filterOptions?.resources ?? []).map((r) => ({
value: String(r.id),
label: r.name ?? `Resource #${r.id}`
}));
const roleOptions = (filterOptions?.roles ?? []).map((r) => ({
value: String(r.id),
label: r.name ?? `Role #${r.id}`
}));
const userOptions = (filterOptions?.users ?? []).map((u) => ({
value: u.id,
label: u.email ?? u.id
}));
const tabs: TabItem[] = [
{ title: "Overview", href: "#" },
{ title: "Provider usage", href: "#" },
{ title: "Resources", href: "#" },
{ title: "Users & roles", href: "#" }
];
return (
<div className="flex flex-col gap-5">
<Card>
<CardHeader className="flex flex-col gap-4">
<div className="flex flex-col lg:flex-row items-start lg:items-end w-full gap-2">
<DateRangePicker
startValue={{
date: dateRange.startDate,
time: dateRange.startDate
? getDateTime(dateRange.startDate)
: undefined
}}
endValue={{
date: dateRange.endDate,
time: dateRange.endDate
? getDateTime(dateRange.endDate)
: undefined
}}
onRangeChange={handleTimeRangeUpdate}
className="flex-wrap gap-2"
/>
<Separator className="w-px h-6 self-end relative bottom-1.5 hidden lg:block" />
<div className="flex flex-wrap items-end gap-2">
<FilterSelect
id="providerId"
label="Provider"
value={filters.providerId?.toString()}
options={providerOptions}
placeholder="All providers"
onValueChange={(v) => setFilter("providerId", v)}
/>
<FilterSelect
id="model"
label="Model"
value={filters.model}
options={modelOptions}
placeholder="All models"
onValueChange={(v) => setFilter("model", v)}
/>
<FilterSelect
id="resourceId"
label="Resource"
value={filters.resourceId?.toString()}
options={resourceOptions}
placeholder="All resources"
onValueChange={(v) => setFilter("resourceId", v)}
/>
<FilterSelect
id="roleId"
label="Role"
value={filters.roleId?.toString()}
options={roleOptions}
placeholder="All roles"
onValueChange={(v) => setFilter("roleId", v)}
/>
<FilterSelect
id="userId"
label="User"
value={filters.userId}
options={userOptions}
placeholder="All users"
onValueChange={(v) => setFilter("userId", v)}
/>
{!isEmptySearchParams && (
<Button
variant="ghost"
onClick={() => router.replace(path)}
className="gap-2"
>
<XIcon className="size-4" />
Reset filters
</Button>
)}
</div>
</div>
<div className="flex justify-end">
<Button
variant="outline"
onClick={() =>
queryClient.invalidateQueries({
queryKey: [
...AI_USAGE_ANALYTICS_QUERY_PREFIX,
props.orgId
]
})
}
disabled={isFetching}
className="gap-2"
>
<RefreshCw
className={cn(
"size-4",
isFetching && "animate-spin"
)}
/>
Refresh
</Button>
</div>
</CardHeader>
</Card>
<HorizontalTabs items={tabs} clientSide>
<OverviewTab orgId={props.orgId} filters={filters} />
<ProvidersTab orgId={props.orgId} filters={filters} />
<ResourcesTab orgId={props.orgId} filters={filters} />
<UsersRolesTab orgId={props.orgId} filters={filters} />
</HorizontalTabs>
</div>
);
}
type FilterSelectProps = {
id: string;
label: string;
value?: string;
options: { value: string; label: string }[];
placeholder: string;
onValueChange: (value?: string) => void;
};
function FilterSelect(props: FilterSelectProps) {
return (
<div className="flex flex-col items-start gap-2 w-44">
<Label htmlFor={props.id}>{props.label}</Label>
<Select
onValueChange={(newValue) =>
props.onValueChange(
newValue === "all" ? undefined : newValue
)
}
value={props.value ?? "all"}
>
<SelectTrigger id={props.id} className="w-full">
<SelectValue placeholder={props.placeholder} />
</SelectTrigger>
<SelectContent className="w-full">
<SelectItem value="all">{props.placeholder}</SelectItem>
{props.options.map((option) => (
<SelectItem key={option.value} value={option.value}>
{option.label}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
);
}
@@ -0,0 +1,197 @@
"use client";
import { useQuery } from "@tanstack/react-query";
import { aiUsageAnalyticsQueries } from "@app/lib/queries";
import type { AiUsageAnalyticsFilters } from "@app/lib/queries";
import { Card, CardContent, CardHeader } from "@app/components/ui/card";
import {
InfoSection,
InfoSectionContent,
InfoSections,
InfoSectionTitle
} from "@app/components/InfoSection";
import { ToggleableTrendChart } from "./ToggleableTrendChart";
import { TopEntitiesList, type TopEntity } from "./TopEntitiesList";
import {
SERIES_COLORS,
buildSeriesFromData,
compactNumberFormatter,
formatCost
} from "./shared";
type OverviewTabProps = {
orgId: string;
filters: AiUsageAnalyticsFilters;
};
const TOKEN_TYPE_LABELS: Record<string, string> = {
promptTokens: "Prompt",
cacheReadTokens: "Cache read",
cacheWriteTokens: "Cache write",
completionTokens: "Completion",
reasoningTokens: "Reasoning"
};
export function OverviewTab(props: OverviewTabProps) {
const { data, isLoading } = useQuery(
aiUsageAnalyticsQueries.overview({
orgId: props.orgId,
filters: props.filters
})
);
const requestsSeries = [
{ key: "requests", label: "Requests", color: SERIES_COLORS[0] }
];
const tokensSeries = Object.keys(TOKEN_TYPE_LABELS).map((key, i) => ({
key,
label: TOKEN_TYPE_LABELS[key],
color: SERIES_COLORS[i % SERIES_COLORS.length]
}));
const costSeries = [
{ key: "cost", label: "Cost", color: SERIES_COLORS[0] }
];
const modelCostSeries = buildSeriesFromData(
data?.modelCostPerDay ?? [],
(key) => key
);
const modelTokensSeries = buildSeriesFromData(
data?.modelTokensPerDay ?? [],
(key) => key
);
const topModels: TopEntity[] = (data?.topModels ?? []).map((m) => ({
key: m.model,
label: m.model,
requests: m.requests,
totalTokens: m.totalTokens,
costUsd: m.costUsd
}));
return (
<div className="flex flex-col gap-5">
<Card>
<CardHeader>
<InfoSections cols={4}>
<InfoSection>
<InfoSectionTitle>Total requests</InfoSectionTitle>
<InfoSectionContent>
{data
? compactNumberFormatter.format(
data.totalRequests
)
: "--"}
</InfoSectionContent>
</InfoSection>
<InfoSection>
<InfoSectionTitle>Total tokens</InfoSectionTitle>
<InfoSectionContent>
{data
? compactNumberFormatter.format(
data.totalTokens
)
: "--"}
</InfoSectionContent>
</InfoSection>
<InfoSection>
<InfoSectionTitle>Total cost</InfoSectionTitle>
<InfoSectionContent>
{data ? formatCost(data.totalCost) : "--"}
</InfoSectionContent>
</InfoSection>
<InfoSection>
<InfoSectionTitle>Estimated</InfoSectionTitle>
<InfoSectionContent>
{data
? `${Math.round(data.estimatedPercent)}%`
: "--"}
</InfoSectionContent>
</InfoSection>
</InfoSections>
</CardHeader>
</Card>
<div className="grid lg:grid-cols-3 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Request volume</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.requestsPerDay ?? []}
series={requestsSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Token usage</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.tokensPerDay ?? []}
series={tokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.costPerDay ?? []}
series={costSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
</div>
<div className="grid lg:grid-cols-2 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Model cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.modelCostPerDay ?? []}
series={modelCostSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Model tokens</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.modelTokensPerDay ?? []}
series={modelTokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
</div>
<Card>
<CardHeader>
<h3 className="font-semibold">Top models</h3>
</CardHeader>
<CardContent>
<TopEntitiesList
entities={topModels}
isLoading={isLoading}
nameColumnLabel="Model"
/>
</CardContent>
</Card>
</div>
);
}
@@ -0,0 +1,91 @@
"use client";
import { useQuery } from "@tanstack/react-query";
import { aiUsageAnalyticsQueries } from "@app/lib/queries";
import type { AiUsageAnalyticsFilters } from "@app/lib/queries";
import { Card, CardContent, CardHeader } from "@app/components/ui/card";
import { ToggleableTrendChart } from "./ToggleableTrendChart";
import { TopEntitiesList, type TopEntity } from "./TopEntitiesList";
import { buildSeriesFromData, formatCost } from "./shared";
type ProvidersTabProps = {
orgId: string;
filters: AiUsageAnalyticsFilters;
};
export function ProvidersTab(props: ProvidersTabProps) {
const { data, isLoading } = useQuery(
aiUsageAnalyticsQueries.providers({
orgId: props.orgId,
filters: props.filters
})
);
const nameByKey = new Map<string, string>();
for (const p of data?.topProviders ?? []) {
nameByKey.set(String(p.providerId), p.name ?? `Provider #${p.providerId}`);
}
const labelFor = (key: string) => nameByKey.get(key) ?? `Provider #${key}`;
const costSeries = buildSeriesFromData(
data?.providerCostPerDay ?? [],
labelFor
);
const tokensSeries = buildSeriesFromData(
data?.providerTokensPerDay ?? [],
labelFor
);
const topProviders: TopEntity[] = (data?.topProviders ?? []).map((p) => ({
key: String(p.providerId),
label: p.name ?? `Provider #${p.providerId}`,
requests: p.requests,
totalTokens: p.totalTokens,
costUsd: p.costUsd
}));
return (
<div className="flex flex-col gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Top providers</h3>
</CardHeader>
<CardContent>
<TopEntitiesList
entities={topProviders}
isLoading={isLoading}
nameColumnLabel="Provider"
/>
</CardContent>
</Card>
<div className="grid lg:grid-cols-2 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Provider cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.providerCostPerDay ?? []}
series={costSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Provider token usage</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.providerTokensPerDay ?? []}
series={tokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
</div>
</div>
);
}
@@ -0,0 +1,99 @@
"use client";
import { useQuery } from "@tanstack/react-query";
import { aiUsageAnalyticsQueries } from "@app/lib/queries";
import type { AiUsageAnalyticsFilters } from "@app/lib/queries";
import { Card, CardContent, CardHeader } from "@app/components/ui/card";
import { ToggleableTrendChart } from "./ToggleableTrendChart";
import { TopEntitiesList, type TopEntity } from "./TopEntitiesList";
import { buildSeriesFromData, formatCost } from "./shared";
type ResourcesTabProps = {
orgId: string;
filters: AiUsageAnalyticsFilters;
};
function resourceTypeLabel(type: "public" | "site" | null) {
if (type === "public") return "Resource";
if (type === "site") return "Site resource";
return undefined;
}
export function ResourcesTab(props: ResourcesTabProps) {
const { data, isLoading } = useQuery(
aiUsageAnalyticsQueries.resources({
orgId: props.orgId,
filters: props.filters
})
);
const nameByKey = new Map<string, string>();
for (const r of data?.topResources ?? []) {
nameByKey.set(r.key, r.name ?? r.key);
}
const labelFor = (key: string) =>
key === "none" ? "No resource" : (nameByKey.get(key) ?? key);
const costSeries = buildSeriesFromData(
data?.resourceCostPerDay ?? [],
labelFor
);
const tokensSeries = buildSeriesFromData(
data?.resourceTokensPerDay ?? [],
labelFor
);
const topResources: TopEntity[] = (data?.topResources ?? []).map((r) => ({
key: r.key,
label: r.name ?? (r.key === "none" ? "No resource" : r.key),
sublabel: resourceTypeLabel(r.type),
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
}));
return (
<div className="flex flex-col gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Top resources</h3>
</CardHeader>
<CardContent>
<TopEntitiesList
entities={topResources}
isLoading={isLoading}
nameColumnLabel="Resource"
/>
</CardContent>
</Card>
<div className="grid lg:grid-cols-2 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Resource cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.resourceCostPerDay ?? []}
series={costSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Resource token usage</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.resourceTokensPerDay ?? []}
series={tokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
</div>
</div>
);
}
@@ -0,0 +1,188 @@
"use client";
import { useState } from "react";
import { cn } from "@app/lib/cn";
import { BarChart3, LineChart as LineChartIcon, LoaderIcon } from "lucide-react";
import {
Bar,
BarChart,
CartesianGrid,
Line,
LineChart,
XAxis,
YAxis
} from "recharts";
import { Button } from "@app/components/ui/button";
import {
ChartContainer,
ChartLegend,
ChartLegendContent,
ChartTooltip,
ChartTooltipContent,
type ChartConfig
} from "@app/components/ui/chart";
export type TrendSeries = {
key: string;
label: string;
color: string;
};
export interface TrendChartRow {
day: string;
[seriesKey: string]: number | string;
}
type ToggleableTrendChartProps = {
data: TrendChartRow[];
series: TrendSeries[];
isLoading?: boolean;
valueFormatter?: (value: number) => string;
className?: string;
};
const compactFormatter = new Intl.NumberFormat(undefined, {
maximumFractionDigits: 1,
notation: "compact",
compactDisplay: "short"
});
export function ToggleableTrendChart(props: ToggleableTrendChartProps) {
const [chartType, setChartType] = useState<"bar" | "line">("bar");
const valueFormatter = props.valueFormatter ?? compactFormatter.format;
const chartConfig = props.series.reduce((acc, s) => {
acc[s.key] = { label: s.label, color: s.color };
return acc;
}, {} as ChartConfig);
const hasData = props.data.length > 0;
return (
<div className={cn("relative flex flex-col gap-2", props.className)}>
<div className="flex justify-end gap-1">
<Button
type="button"
size="sm"
variant={chartType === "bar" ? "secondary" : "ghost"}
onClick={() => setChartType("bar")}
className="gap-1.5 px-2"
>
<BarChart3 className="size-3.5" />
</Button>
<Button
type="button"
size="sm"
variant={chartType === "line" ? "secondary" : "ghost"}
onClick={() => setChartType("line")}
className="gap-1.5 px-2"
>
<LineChartIcon className="size-3.5" />
</Button>
</div>
{!hasData ? (
<div className="flex h-64 w-full items-center justify-center text-muted-foreground gap-2">
{props.isLoading ? (
<>
<LoaderIcon className="size-4 animate-spin" />
Loading...
</>
) : (
"No data"
)}
</div>
) : (
<ChartContainer
config={chartConfig}
className="min-h-50 w-full h-64"
>
{chartType === "bar" ? (
<BarChart accessibilityLayer data={props.data}>
<ChartLegend content={<ChartLegendContent />} />
<ChartTooltip
content={
<ChartTooltipContent
indicator="dot"
labelFormatter={(_value, payload) =>
formatDay(payload?.[0]?.payload?.day)
}
/>
}
/>
<CartesianGrid vertical={false} />
<YAxis
tickLine={false}
axisLine={false}
tickFormatter={valueFormatter}
/>
<XAxis
dataKey="day"
tickLine={false}
tickMargin={10}
axisLine={false}
tickFormatter={formatDay}
/>
{props.series.map((s) => (
<Bar
key={s.key}
dataKey={s.key}
stackId="stack"
fill={`var(--color-${s.key})`}
radius={2}
isAnimationActive={false}
/>
))}
</BarChart>
) : (
<LineChart accessibilityLayer data={props.data}>
<ChartLegend content={<ChartLegendContent />} />
<ChartTooltip
content={
<ChartTooltipContent
indicator="line"
labelFormatter={(_value, payload) =>
formatDay(payload?.[0]?.payload?.day)
}
/>
}
/>
<CartesianGrid vertical={false} />
<YAxis
tickLine={false}
axisLine={false}
tickFormatter={valueFormatter}
/>
<XAxis
dataKey="day"
tickLine={false}
tickMargin={10}
axisLine={false}
tickFormatter={formatDay}
/>
{props.series.map((s) => (
<Line
key={s.key}
dataKey={s.key}
stroke={`var(--color-${s.key})`}
strokeWidth={2}
fill="transparent"
isAnimationActive={false}
dot={false}
/>
))}
</LineChart>
)}
</ChartContainer>
)}
</div>
);
}
function formatDay(value: unknown) {
if (typeof value !== "string") return "";
const date = new Date(value);
if (isNaN(date.getTime())) return value;
return date.toLocaleDateString(undefined, { dateStyle: "medium" });
}
@@ -0,0 +1,92 @@
"use client";
import { LoaderIcon } from "lucide-react";
import { compactNumberFormatter, formatCost } from "./shared";
export type TopEntity = {
key: string;
label: string;
sublabel?: string | null;
requests: number;
totalTokens: number;
costUsd: number | null;
};
type TopEntitiesListProps = {
entities: TopEntity[];
isLoading: boolean;
nameColumnLabel: string;
emptyLabel?: string;
};
export function TopEntitiesList(props: TopEntitiesListProps) {
const totalCost = props.entities.reduce(
(sum, e) => sum + (e.costUsd ?? 0),
0
);
return (
<div className="h-full flex flex-col gap-2">
{props.entities.length > 0 && (
<div className="grid grid-cols-12 text-sm text-muted-foreground font-semibold h-4">
<div className="col-span-5">{props.nameColumnLabel}</div>
<div className="col-span-2 text-end">Requests</div>
<div className="col-span-2 text-end">Tokens</div>
<div className="col-span-2 text-end">Cost</div>
<div className="col-span-1 text-end">%</div>
</div>
)}
<ol className="w-full overflow-auto gap-1 flex flex-col max-h-100">
{props.entities.length === 0 && (
<div className="flex items-center justify-center size-full text-muted-foreground gap-2 py-8">
{props.isLoading ? (
<>
<LoaderIcon className="size-4 animate-spin" />
Loading...
</>
) : (
(props.emptyLabel ?? "No data")
)}
</div>
)}
{props.entities.map((entity) => {
const percent =
totalCost > 0 ? (entity.costUsd ?? 0) / totalCost : 0;
return (
<li
key={entity.key}
className="w-full grid grid-cols-12 rounded-xs hover:bg-muted relative items-center text-sm py-1"
>
<div
className="absolute bg-[#f36117]/40 top-0 bottom-0 left-0 rounded-xs"
style={{ width: `${percent * 100}%` }}
/>
<div className="col-span-5 px-2 relative z-1 flex flex-col min-w-0">
<span className="truncate">{entity.label}</span>
{entity.sublabel && (
<span className="text-xs text-muted-foreground truncate">
{entity.sublabel}
</span>
)}
</div>
<div className="col-span-2 text-end relative z-1">
{compactNumberFormatter.format(entity.requests)}
</div>
<div className="col-span-2 text-end relative z-1">
{compactNumberFormatter.format(
entity.totalTokens
)}
</div>
<div className="col-span-2 text-end relative z-1">
{formatCost(entity.costUsd)}
</div>
<div className="col-span-1 text-end relative z-1">
{Math.round(percent * 100)}%
</div>
</li>
);
})}
</ol>
</div>
);
}
@@ -0,0 +1,166 @@
"use client";
import { useQuery } from "@tanstack/react-query";
import { aiUsageAnalyticsQueries } from "@app/lib/queries";
import type { AiUsageAnalyticsFilters } from "@app/lib/queries";
import { Card, CardContent, CardHeader } from "@app/components/ui/card";
import { ToggleableTrendChart } from "./ToggleableTrendChart";
import { TopEntitiesList, type TopEntity } from "./TopEntitiesList";
import { buildSeriesFromData, formatCost } from "./shared";
type UsersRolesTabProps = {
orgId: string;
filters: AiUsageAnalyticsFilters;
};
const UNKNOWN_USER_KEY = "unknown";
export function UsersRolesTab(props: UsersRolesTabProps) {
const { data, isLoading } = useQuery(
aiUsageAnalyticsQueries.usersRoles({
orgId: props.orgId,
filters: props.filters
})
);
const roleNameByKey = new Map<string, string>();
for (const r of data?.topRoles ?? []) {
roleNameByKey.set(String(r.roleId), r.name ?? `Role #${r.roleId}`);
}
const roleLabelFor = (key: string) =>
roleNameByKey.get(key) ?? `Role #${key}`;
const userEmailByKey = new Map<string, string>();
for (const u of data?.topUsers ?? []) {
if (u.userId) {
userEmailByKey.set(u.userId, u.email ?? u.userId);
}
}
const userLabelFor = (key: string) =>
key === UNKNOWN_USER_KEY
? "Unknown user"
: (userEmailByKey.get(key) ?? key);
const roleCostSeries = buildSeriesFromData(
data?.roleCostPerDay ?? [],
roleLabelFor
);
const roleTokensSeries = buildSeriesFromData(
data?.roleTokensPerDay ?? [],
roleLabelFor
);
const userCostSeries = buildSeriesFromData(
data?.userCostPerDay ?? [],
userLabelFor
);
const userTokensSeries = buildSeriesFromData(
data?.userTokensPerDay ?? [],
userLabelFor
);
const topRoles: TopEntity[] = (data?.topRoles ?? []).map((r) => ({
key: String(r.roleId),
label: r.name ?? `Role #${r.roleId}`,
requests: r.requests,
totalTokens: r.totalTokens,
costUsd: r.costUsd
}));
const topUsers: TopEntity[] = (data?.topUsers ?? []).map((u) => ({
key: u.userId ?? UNKNOWN_USER_KEY,
label: u.email ?? u.userId ?? "Unknown user",
requests: u.requests,
totalTokens: u.totalTokens,
costUsd: u.costUsd
}));
return (
<div className="flex flex-col gap-8">
<div className="flex flex-col gap-5">
<h3 className="font-semibold text-muted-foreground">Roles</h3>
<Card>
<CardHeader>
<h3 className="font-semibold">Top roles</h3>
</CardHeader>
<CardContent>
<TopEntitiesList
entities={topRoles}
isLoading={isLoading}
nameColumnLabel="Role"
/>
</CardContent>
</Card>
<div className="grid lg:grid-cols-2 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">Role cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.roleCostPerDay ?? []}
series={roleCostSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">Role token usage</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.roleTokensPerDay ?? []}
series={roleTokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
</div>
</div>
<div className="flex flex-col gap-5">
<h3 className="font-semibold text-muted-foreground">Users</h3>
<Card>
<CardHeader>
<h3 className="font-semibold">Top users</h3>
</CardHeader>
<CardContent>
<TopEntitiesList
entities={topUsers}
isLoading={isLoading}
nameColumnLabel="User"
/>
</CardContent>
</Card>
<div className="grid lg:grid-cols-2 gap-5">
<Card>
<CardHeader>
<h3 className="font-semibold">User cost</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.userCostPerDay ?? []}
series={userCostSeries}
isLoading={isLoading}
valueFormatter={(v) => formatCost(v)}
/>
</CardContent>
</Card>
<Card>
<CardHeader>
<h3 className="font-semibold">User token usage</h3>
</CardHeader>
<CardContent>
<ToggleableTrendChart
data={data?.userTokensPerDay ?? []}
series={userTokensSeries}
isLoading={isLoading}
/>
</CardContent>
</Card>
</div>
</div>
</div>
);
}
@@ -0,0 +1,64 @@
import type { TrendSeries } from "./ToggleableTrendChart";
// Matches the theme's 5 categorical chart colors (--chart-1..--chart-5 in
// src/app/globals.css) - the same ceiling RequestChart already respects.
export const SERIES_COLORS = [
"var(--chart-1)",
"var(--chart-2)",
"var(--chart-3)",
"var(--chart-4)",
"var(--chart-5)"
];
export const OTHER_COLOR = "var(--muted-foreground)";
export const OTHER_KEY = "other";
// The server already collapsed each day's row down to the top-N dimension
// keys (already ranked) plus an optional "other" bucket - so the full set of
// series can be derived straight from the data's own keys, no separate
// top-list needed. Assigns one categorical color per key, "other" last.
export function buildSeriesFromData(
data: Array<Record<string, number | string>>,
labelFor: (key: string) => string
): TrendSeries[] {
const keys = new Set<string>();
for (const row of data) {
for (const key of Object.keys(row)) {
if (key !== "day" && key !== OTHER_KEY) {
keys.add(key);
}
}
}
const series: TrendSeries[] = [...keys].map((key, i) => ({
key,
label: labelFor(key),
color: SERIES_COLORS[i % SERIES_COLORS.length]
}));
const hasOther = data.some((row) => OTHER_KEY in row);
if (hasOther) {
series.push({ key: OTHER_KEY, label: "Other", color: OTHER_COLOR });
}
return series;
}
export const currencyFormatter = new Intl.NumberFormat(undefined, {
style: "currency",
currency: "USD",
maximumFractionDigits: 2
});
export const compactNumberFormatter = new Intl.NumberFormat(undefined, {
maximumFractionDigits: 1,
notation: "compact",
compactDisplay: "short"
});
export const exactNumberFormatter = new Intl.NumberFormat(undefined, {
maximumFractionDigits: 0
});
export function formatCost(value: number | null | undefined) {
return currencyFormatter.format(value ?? 0);
}
+165 -1
View File
@@ -6,7 +6,14 @@ import {
type BatchedStatusHistoryResponse
} from "@server/lib/statusHistory";
import type { ListAlertRulesResponse } from "@server/routers/alertRule/types";
import type { QueryRequestAnalyticsResponse } from "@server/routers/auditLogs";
import type {
QueryRequestAnalyticsResponse,
QueryAiUsageFilterOptionsResponse,
QueryAiUsageOverviewResponse,
QueryAiUsageProvidersResponse,
QueryAiUsageResourcesResponse,
QueryAiUsageUsersRolesResponse
} from "@server/routers/auditLogs";
import type {
QueryAccessAuditLogResponse,
QueryActionAuditLogResponse,
@@ -928,6 +935,32 @@ export const logAnalyticsFiltersSchema = z.object({
export type LogAnalyticsFilters = z.output<typeof logAnalyticsFiltersSchema>;
export const aiUsageAnalyticsFiltersSchema = z.object({
timeStart: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeStart must be a valid ISO date string"
})
.optional()
.catch(undefined),
timeEnd: z
.string()
.refine((val) => !isNaN(Date.parse(val)), {
error: "timeEnd must be a valid ISO date string"
})
.optional()
.catch(undefined),
providerId: z.coerce.number().optional().catch(undefined),
model: z.string().optional().catch(undefined),
resourceId: z.coerce.number().optional().catch(undefined),
roleId: z.coerce.number().optional().catch(undefined),
userId: z.string().optional().catch(undefined)
});
export type AiUsageAnalyticsFilters = z.output<
typeof aiUsageAnalyticsFiltersSchema
>;
export const httpLogsFiltersSchema = z.object({
timeStart: z
.string()
@@ -1242,6 +1275,137 @@ export const logQueries = {
})
};
export const aiUsageAnalyticsQueries = {
filterOptions: ({
orgId,
filters
}: {
orgId: string;
filters: Pick<AiUsageAnalyticsFilters, "timeStart" | "timeEnd">;
}) =>
queryOptions({
queryKey: ["AI_USAGE_ANALYTICS", orgId, "FILTERS", filters] as const,
queryFn: async ({ signal, meta }) => {
const res = await meta!.api.get<
AxiosResponse<QueryAiUsageFilterOptionsResponse>
>(`/org/${orgId}/logs/ai/usage/filters`, {
params: filters,
signal
});
return res.data.data;
}
}),
overview: ({
orgId,
filters
}: {
orgId: string;
filters: AiUsageAnalyticsFilters;
}) =>
queryOptions({
queryKey: ["AI_USAGE_ANALYTICS", orgId, "OVERVIEW", filters] as const,
queryFn: async ({ signal, meta }) => {
const res = await meta!.api.get<
AxiosResponse<QueryAiUsageOverviewResponse>
>(`/org/${orgId}/logs/ai/usage/overview`, {
params: filters,
signal
});
return res.data.data;
},
refetchInterval: (query) => {
if (query.state.data) {
return durationToMs(30, "seconds");
}
return false;
}
}),
providers: ({
orgId,
filters
}: {
orgId: string;
filters: AiUsageAnalyticsFilters;
}) =>
queryOptions({
queryKey: ["AI_USAGE_ANALYTICS", orgId, "PROVIDERS", filters] as const,
queryFn: async ({ signal, meta }) => {
const res = await meta!.api.get<
AxiosResponse<QueryAiUsageProvidersResponse>
>(`/org/${orgId}/logs/ai/usage/providers`, {
params: filters,
signal
});
return res.data.data;
},
refetchInterval: (query) => {
if (query.state.data) {
return durationToMs(30, "seconds");
}
return false;
}
}),
resources: ({
orgId,
filters
}: {
orgId: string;
filters: AiUsageAnalyticsFilters;
}) =>
queryOptions({
queryKey: ["AI_USAGE_ANALYTICS", orgId, "RESOURCES", filters] as const,
queryFn: async ({ signal, meta }) => {
const res = await meta!.api.get<
AxiosResponse<QueryAiUsageResourcesResponse>
>(`/org/${orgId}/logs/ai/usage/resources`, {
params: filters,
signal
});
return res.data.data;
},
refetchInterval: (query) => {
if (query.state.data) {
return durationToMs(30, "seconds");
}
return false;
}
}),
usersRoles: ({
orgId,
filters
}: {
orgId: string;
filters: AiUsageAnalyticsFilters;
}) =>
queryOptions({
queryKey: [
"AI_USAGE_ANALYTICS",
orgId,
"USERS_ROLES",
filters
] as const,
queryFn: async ({ signal, meta }) => {
const res = await meta!.api.get<
AxiosResponse<QueryAiUsageUsersRolesResponse>
>(`/org/${orgId}/logs/ai/usage/users-roles`, {
params: filters,
signal
});
return res.data.data;
},
refetchInterval: (query) => {
if (query.state.data) {
return durationToMs(30, "seconds");
}
return false;
}
})
};
export const aiProviderQueries = {
providerTargets: ({ providerId }: { providerId: number }) =>
queryOptions({