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* Admin panel API types. Response shapes for /api/admin/*; consumed by the
* admin UI. Kept in @ttsa/shared so client and server agree on the contract.
*/
import { z } from "zod";
/* ββ Shared time series βββββββββββββββββββββββββββββββββββββββββββββββββ */
export const timePointSchema = z.object({
date: z.string(),
count: z.number().int(),
flagged: z.number().int().optional(),
});
export type TimePoint = z.infer<typeof timePointSchema>;
/* ββ Overview βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminOverviewSchema = z.object({
totals: z.object({
users: z.number().int(),
votes: z.number().int(),
models: z.number().int(),
activeModels: z.number().int(),
}),
/** Vote count per day for the last 30 days, oldest first. */
votesByDay: z.array(z.object({ date: z.string(), count: z.number().int() })),
recentVotes: z.array(
z.object({
id: z.number().int(),
createdAt: z.number().int(),
username: z.string(),
chosenModel: z.string(),
rejectedModel: z.string(),
text: z.string(),
}),
),
recentUsers: z.array(
z.object({
id: z.number().int(),
username: z.string(),
avatarUrl: z.string().nullable(),
joinDate: z.number().int(),
}),
),
});
export type AdminOverview = z.infer<typeof adminOverviewSchema>;
/* ββ Models βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminModelSchema = z.object({
id: z.string(),
name: z.string(),
modelType: z.string(),
provider: z.string().nullable(),
isOpen: z.boolean(),
isActive: z.boolean(),
/** Epoch seconds until which the model is timed out, or null. */
timedOutUntil: z.number().int().nullable(),
url: z.string().nullable(),
icon: z.string().nullable(),
rating: z.number(),
ratingDeviation: z.number(),
volatility: z.number(),
winCount: z.number().int(),
matchCount: z.number().int(),
voteCount: z.number().int(),
updatedAt: z.number().int(),
});
export type AdminModel = z.infer<typeof adminModelSchema>;
export const adminModelsResponseSchema = z.object({
models: z.array(adminModelSchema),
});
export type AdminModelsResponse = z.infer<typeof adminModelsResponseSchema>;
/** PATCH body for editing a model's display/active metadata. */
export const adminModelUpdateSchema = z.object({
name: z.string().min(1).optional(),
url: z.string().optional(),
icon: z.string().optional(),
isActive: z.boolean().optional(),
});
export type AdminModelUpdate = z.infer<typeof adminModelUpdateSchema>;
/* ββ Users ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminUserRowSchema = z.object({
id: z.number().int(),
username: z.string(),
avatarUrl: z.string().nullable(),
email: z.string().nullable(),
joinDate: z.number().int(),
hfAccountCreated: z.number().int().nullable(),
voteCount: z.number().int(),
});
export type AdminUserRow = z.infer<typeof adminUserRowSchema>;
export const adminUsersResponseSchema = z.object({
rows: z.array(adminUserRowSchema),
total: z.number().int(),
});
export type AdminUsersResponse = z.infer<typeof adminUsersResponseSchema>;
export const adminUserDetailSchema = z.object({
user: adminUserRowSchema.extend({
hfId: z.string(),
trustScore: z.number(),
quarantined: z.boolean(),
}),
/** Flagged-vote count for this user (fraud lens). */
flaggedVotes: z.number().int(),
/** Votes per day (clean vs flagged), last 30d. */
votesByDay: z.array(timePointSchema),
/** Distribution of which model the user picks (bias lens). */
choiceDistribution: z.array(
z.object({ model: z.string(), count: z.number().int() }),
),
logins: z.array(
z.object({
id: z.number().int(),
ip: z.string().nullable(),
userAgent: z.string().nullable(),
fingerprint: z.string().nullable(),
createdAt: z.number().int(),
}),
),
votes: z.array(
z.object({
id: z.number().int(),
createdAt: z.number().int(),
chosenModel: z.string(),
rejectedModel: z.string(),
flagged: z.boolean(),
riskScore: z.number(),
text: z.string(),
}),
),
});
export type AdminUserDetail = z.infer<typeof adminUserDetailSchema>;
/* ββ Votes ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminVoteRowSchema = z.object({
id: z.number().int(),
createdAt: z.number().int(),
username: z.string(),
modelType: z.string(),
chosenModel: z.string(),
rejectedModel: z.string(),
chosenVoice: z.string().nullable(),
rejectedVoice: z.string().nullable(),
sentenceOrigin: z.string(),
countsForPublic: z.boolean(),
flagged: z.boolean(),
riskScore: z.number(),
text: z.string(),
});
export type AdminVoteRow = z.infer<typeof adminVoteRowSchema>;
export const adminVotesResponseSchema = z.object({
rows: z.array(adminVoteRowSchema),
total: z.number().int(),
});
export type AdminVotesResponse = z.infer<typeof adminVotesResponseSchema>;
/* ββ Analytics ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminAnalyticsSchema = z.object({
sentencePool: z.object({
total: z.number().int(),
consumed: z.number().int(),
remaining: z.number().int(),
consumptionPct: z.number(),
}),
votesByOrigin: z.array(
z.object({ origin: z.string(), count: z.number().int() }),
),
topModelsByVotes: z.array(
z.object({ id: z.string(), name: z.string(), votes: z.number().int() }),
),
topVoices: z.array(
z.object({
modelId: z.string(),
voice: z.string(),
winCount: z.number().int(),
matchCount: z.number().int(),
}),
),
});
export type AdminAnalytics = z.infer<typeof adminAnalyticsSchema>;
/* ββ Model detail (drill-down) ββββββββββββββββββββββββββββββββββββββββββ */
export const adminModelDetailSchema = z.object({
model: adminModelSchema,
rank: z.number().int(),
flaggedVotes: z.number().int(),
/** Rating + RD over time, one point per recorded match. */
ratingHistory: z.array(
z.object({
t: z.number().int(),
rating: z.number(),
rd: z.number(),
}),
),
/** Votes per day where this model appeared (clean vs flagged). */
votesByDay: z.array(timePointSchema),
/** Win/loss vs each opponent (top by total). */
vsOpponents: z.array(
z.object({
opponent: z.string(),
wins: z.number().int(),
losses: z.number().int(),
winRate: z.number(),
}),
),
/** Top voters for this model + their flagged share (fraud lens). */
topVoters: z.array(
z.object({
userId: z.number().int(),
username: z.string(),
/** Times this user picked the model (wins for the model). */
votes: z.number().int(),
flagged: z.number().int(),
/** Total battles this user had with the model (wins + losses). */
battles: z.number().int(),
/** Share (0β100) of those battles where they picked the model. */
preferPct: z.number(),
/** Anomaly of their preference vs the model's global pick rate, in
* standard deviations. High = this user favors the model far more than
* the crowd (a manipulation signal). */
anomalyZ: z.number(),
quarantined: z.boolean(),
}),
),
recentVotes: z.array(adminVoteRowSchema),
});
export type AdminModelDetail = z.infer<typeof adminModelDetailSchema>;
/* ββ Security βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminSecurityEventSchema = z.object({
id: z.number().int(),
createdAt: z.number().int(),
kind: z.string(),
severity: z.string(),
userId: z.number().int().nullable(),
username: z.string().nullable(),
ip: z.string().nullable(),
fingerprint: z.string().nullable(),
voteId: z.number().int().nullable(),
detail: z.string().nullable(),
});
export type AdminSecurityEvent = z.infer<typeof adminSecurityEventSchema>;
export const adminSecurityOverviewSchema = z.object({
flaggedVotes: z.number().int(),
totalVotes: z.number().int(),
quarantinedUsers: z.number().int(),
eventsBySeverity: z.array(
z.object({ severity: z.string(), count: z.number().int() }),
),
topRiskyIps: z.array(
z.object({
ip: z.string(),
accounts: z.number().int(),
events: z.number().int(),
}),
),
recentEvents: z.array(adminSecurityEventSchema),
quarantined: z.array(
z.object({
id: z.number().int(),
username: z.string(),
trustScore: z.number(),
}),
),
/** Model-centric manipulation alert: models with a *cluster* of accounts
* whose preference is anomalously high vs the crowd. One anomalous account
* is usually a superfan; several converging on one model β especially
* sharing IPs β is a vote ring. */
suspiciousModels: z.array(
z.object({
modelId: z.string(),
modelName: z.string(),
/** Number of distinct accounts with anomalous preference for this model. */
anomalousAccounts: z.number().int(),
/** How many of those accounts share an IP with another flagged account
* (the coordination signal that separates a ring from lone superfans). */
sharedIpAccounts: z.number().int(),
/** Highest per-account anomaly (standard deviations). */
maxAnomalyZ: z.number(),
/** Total picks from these accounts β votes potentially inflating the rating. */
inflatedVotes: z.number().int(),
accounts: z.array(
z.object({
userId: z.number().int(),
username: z.string(),
picks: z.number().int(),
battles: z.number().int(),
preferPct: z.number(),
anomalyZ: z.number(),
quarantined: z.boolean(),
}),
),
}),
),
});
export type AdminSecurityOverview = z.infer<typeof adminSecurityOverviewSchema>;
/* ββ IP lookup ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ */
export const adminIpLookupSchema = z.object({
ip: z.string(),
accounts: z.array(
z.object({
userId: z.number().int(),
username: z.string(),
joinDate: z.number().int().nullable(),
trustScore: z.number(),
quarantined: z.boolean(),
logins: z.number().int(),
totalVotes: z.number().int(),
lastSeen: z.number().int().nullable(),
/** Other IPs this account has logged in from (pivot for wider rings). */
otherIps: z.array(z.string()),
}),
),
});
export type AdminIpLookup = z.infer<typeof adminIpLookupSchema>;
export const adminSecurityEventsResponseSchema = z.object({
rows: z.array(adminSecurityEventSchema),
total: z.number().int(),
});
export type AdminSecurityEventsResponse = z.infer<
typeof adminSecurityEventsResponseSchema
>;
/* ββ Errors (observability) βββββββββββββββββββββββββββββββββββββββββββββ */
export const adminErrorRowSchema = z.object({
id: z.number().int(),
createdAt: z.number().int(),
source: z.string(),
severity: z.string(),
message: z.string(),
stack: z.string().nullable(),
route: z.string().nullable(),
method: z.string().nullable(),
provider: z.string().nullable(),
model: z.string().nullable(),
status: z.number().int().nullable(),
userId: z.number().int().nullable(),
detail: z.string().nullable(),
});
export type AdminErrorRow = z.infer<typeof adminErrorRowSchema>;
export const adminErrorsResponseSchema = z.object({
rows: z.array(adminErrorRowSchema),
total: z.number().int(),
});
export type AdminErrorsResponse = z.infer<typeof adminErrorsResponseSchema>;
/** One day of error counts, split by source (for the stacked trend chart). */
export const adminErrorDaySchema = z.object({
date: z.string(),
/** Total across all sources for the day. */
count: z.number().int(),
/** Per-source counts; keys are source names present that day. */
bySource: z.record(z.string(), z.number().int()),
});
export type AdminErrorDay = z.infer<typeof adminErrorDaySchema>;
export const adminErrorOverviewSchema = z.object({
last24h: z.number().int(),
last7d: z.number().int(),
total: z.number().int(),
distinctSources: z.number().int(),
/** Highest-volume failing model in the last 7d (null if none). */
topFailingModel: z
.object({ model: z.string(), count: z.number().int() })
.nullable(),
/** Source names that appear in errorsByDay (chart series + legend). */
sources: z.array(z.string()),
/** Errors per day for the last 30d, oldest first, stacked by source. */
errorsByDay: z.array(adminErrorDaySchema),
/** Failures grouped by source, last 7d. */
bySource: z.array(z.object({ source: z.string(), count: z.number().int() })),
/** Failures grouped by model, last 7d (top by count). */
byModel: z.array(z.object({ model: z.string(), count: z.number().int() })),
/** Failures grouped by provider, last 7d. */
byProvider: z.array(
z.object({ provider: z.string(), count: z.number().int() }),
),
recent: z.array(adminErrorRowSchema),
});
export type AdminErrorOverview = z.infer<typeof adminErrorOverviewSchema>;
/* ββ Generations (latency / throughput observability) βββββββββββββββββββ */
/** Per-model latency + reliability summary over a window. */
export const adminGenModelStatSchema = z.object({
model: z.string(),
provider: z.string(),
total: z.number().int(),
failures: z.number().int(),
successRate: z.number(), // 0..100
p50: z.number().int(), // ms
p95: z.number().int(), // ms
avg: z.number().int(), // ms
});
export type AdminGenModelStat = z.infer<typeof adminGenModelStatSchema>;
/** One day of generation throughput + latency. */
export const adminGenDaySchema = z.object({
date: z.string(),
total: z.number().int(),
failures: z.number().int(),
/** Median latency that day (ms). */
p50: z.number().int(),
/** 95th-percentile latency that day (ms). */
p95: z.number().int(),
});
export type AdminGenDay = z.infer<typeof adminGenDaySchema>;
export const adminGenerationRowSchema = z.object({
id: z.number().int(),
createdAt: z.number().int(),
provider: z.string(),
model: z.string(),
routerModel: z.string().nullable(),
durationMs: z.number().int(),
success: z.boolean(),
audioBytes: z.number().int(),
textLength: z.number().int().nullable(),
status: z.number().int().nullable(),
error: z.string().nullable(),
userId: z.number().int().nullable(),
});
export type AdminGenerationRow = z.infer<typeof adminGenerationRowSchema>;
export const adminGenerationsResponseSchema = z.object({
rows: z.array(adminGenerationRowSchema),
total: z.number().int(),
});
export type AdminGenerationsResponse = z.infer<
typeof adminGenerationsResponseSchema
>;
export const adminGenerationOverviewSchema = z.object({
last24h: z.number().int(),
last7d: z.number().int(),
/** Overall success rate over the last 7d (0..100). */
successRate7d: z.number(),
/** Overall P50 / P95 latency over the last 7d (ms). */
p50: z.number().int(),
p95: z.number().int(),
/** Throughput + latency per day for the last 30d, oldest first. */
byDay: z.array(adminGenDaySchema),
/** Per-model latency + reliability over the last 7d (sorted slowest first). */
byModel: z.array(adminGenModelStatSchema),
/** Recent failed generations. */
recentFailures: z.array(adminGenerationRowSchema),
});
export type AdminGenerationOverview = z.infer<
typeof adminGenerationOverviewSchema
>;
/* ββ Test runs ("Test All") βββββββββββββββββββββββββββββββββββββββββββββ */
export const adminTestRunSchema = z.object({
id: z.number().int(),
status: z.string(), // running | done | interrupted
sentence: z.string(),
total: z.number().int(),
completed: z.number().int(),
passed: z.number().int(),
failed: z.number().int(),
startedBy: z.string().nullable(),
createdAt: z.number().int(),
finishedAt: z.number().int().nullable(),
});
export type AdminTestRun = z.infer<typeof adminTestRunSchema>;
export const adminTestRunsResponseSchema = z.object({
rows: z.array(adminTestRunSchema),
total: z.number().int(),
});
export type AdminTestRunsResponse = z.infer<typeof adminTestRunsResponseSchema>;
export const adminTestResultSchema = z.object({
id: z.number().int(),
model: z.string(),
modelName: z.string(),
provider: z.string().nullable(),
status: z.string(), // pending | running | pass | fail
durationMs: z.number().int().nullable(),
/** Audio URL when a sample was produced (served by the test audio route). */
audioUrl: z.string().nullable(),
error: z.string().nullable(),
});
export type AdminTestResult = z.infer<typeof adminTestResultSchema>;
export const adminTestRunDetailSchema = z.object({
run: adminTestRunSchema,
results: z.array(adminTestResultSchema),
});
export type AdminTestRunDetail = z.infer<typeof adminTestRunDetailSchema>;
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