feat(#351): Implement RLS context interceptor (fix SEC-API-4)
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Implements Row-Level Security (RLS) context propagation via NestJS interceptor and AsyncLocalStorage.

Core Implementation:
- RlsContextInterceptor sets PostgreSQL session variables (app.current_user_id, app.current_workspace_id) within transaction boundaries
- Uses SET LOCAL for transaction-scoped variables, preventing connection pool leakage
- AsyncLocalStorage propagates transaction-scoped Prisma client to services
- Graceful handling of unauthenticated routes
- 30-second transaction timeout with 10-second max wait

Security Features:
- Error sanitization prevents information disclosure to clients
- TransactionClient type provides compile-time safety, prevents invalid method calls
- Defense-in-depth security layer for RLS policy enforcement

Quality Rails Compliance:
- Fixed 154 lint errors in llm-usage module (package-level enforcement)
- Added proper TypeScript typing for Prisma operations
- Resolved all type safety violations

Test Coverage:
- 19 tests (7 provider + 9 interceptor + 3 integration)
- 95.75% overall coverage (100% statements on implementation files)
- All tests passing, zero lint errors

Documentation:
- Comprehensive RLS-CONTEXT-USAGE.md with examples and migration guide

Files Created:
- apps/api/src/common/interceptors/rls-context.interceptor.ts
- apps/api/src/common/interceptors/rls-context.interceptor.spec.ts
- apps/api/src/common/interceptors/rls-context.integration.spec.ts
- apps/api/src/prisma/rls-context.provider.ts
- apps/api/src/prisma/rls-context.provider.spec.ts
- apps/api/src/prisma/RLS-CONTEXT-USAGE.md

Fixes #351

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-07 12:25:50 -06:00
parent e20aea99b9
commit 93d403807b
9 changed files with 1107 additions and 46 deletions

View File

@@ -1,6 +1,7 @@
import { Controller, Get, Param, Query } from "@nestjs/common";
import type { LlmUsageLog } from "@prisma/client";
import { LlmUsageService } from "./llm-usage.service";
import type { UsageAnalyticsQueryDto } from "./dto";
import type { UsageAnalyticsQueryDto, UsageAnalyticsResponseDto } from "./dto";
/**
* LLM Usage Controller
@@ -20,8 +21,10 @@ export class LlmUsageController {
* @returns Aggregated usage analytics
*/
@Get("analytics")
async getAnalytics(@Query() query: UsageAnalyticsQueryDto) {
const data = await this.llmUsageService.getUsageAnalytics(query);
async getAnalytics(
@Query() query: UsageAnalyticsQueryDto
): Promise<{ data: UsageAnalyticsResponseDto }> {
const data: UsageAnalyticsResponseDto = await this.llmUsageService.getUsageAnalytics(query);
return { data };
}
@@ -32,8 +35,10 @@ export class LlmUsageController {
* @returns Array of usage logs
*/
@Get("by-workspace/:workspaceId")
async getUsageByWorkspace(@Param("workspaceId") workspaceId: string) {
const data = await this.llmUsageService.getUsageByWorkspace(workspaceId);
async getUsageByWorkspace(
@Param("workspaceId") workspaceId: string
): Promise<{ data: LlmUsageLog[] }> {
const data: LlmUsageLog[] = await this.llmUsageService.getUsageByWorkspace(workspaceId);
return { data };
}
@@ -48,8 +53,11 @@ export class LlmUsageController {
async getUsageByProvider(
@Param("workspaceId") workspaceId: string,
@Param("provider") provider: string
) {
const data = await this.llmUsageService.getUsageByProvider(workspaceId, provider);
): Promise<{ data: LlmUsageLog[] }> {
const data: LlmUsageLog[] = await this.llmUsageService.getUsageByProvider(
workspaceId,
provider
);
return { data };
}
@@ -61,8 +69,11 @@ export class LlmUsageController {
* @returns Array of usage logs
*/
@Get("by-workspace/:workspaceId/model/:model")
async getUsageByModel(@Param("workspaceId") workspaceId: string, @Param("model") model: string) {
const data = await this.llmUsageService.getUsageByModel(workspaceId, model);
async getUsageByModel(
@Param("workspaceId") workspaceId: string,
@Param("model") model: string
): Promise<{ data: LlmUsageLog[] }> {
const data: LlmUsageLog[] = await this.llmUsageService.getUsageByModel(workspaceId, model);
return { data };
}
}

View File

@@ -1,4 +1,5 @@
import { Injectable, Logger } from "@nestjs/common";
import type { LlmUsageLog, Prisma } from "@prisma/client";
import { PrismaService } from "../prisma/prisma.service";
import type {
TrackUsageDto,
@@ -28,12 +29,12 @@ export class LlmUsageService {
* @param dto - Usage tracking data
* @returns The created usage log entry
*/
async trackUsage(dto: TrackUsageDto) {
async trackUsage(dto: TrackUsageDto): Promise<LlmUsageLog> {
this.logger.debug(
`Tracking usage: ${dto.provider}/${dto.model} - ${String(dto.totalTokens)} tokens`
);
return this.prisma.llmUsageLog.create({
return await this.prisma.llmUsageLog.create({
data: dto,
});
}
@@ -46,7 +47,7 @@ export class LlmUsageService {
* @returns Aggregated usage analytics
*/
async getUsageAnalytics(query: UsageAnalyticsQueryDto): Promise<UsageAnalyticsResponseDto> {
const where: Record<string, unknown> = {};
const where: Prisma.LlmUsageLogWhereInput = {};
if (query.workspaceId) {
where.workspaceId = query.workspaceId;
@@ -63,43 +64,59 @@ export class LlmUsageService {
if (query.startDate || query.endDate) {
where.createdAt = {};
if (query.startDate) {
(where.createdAt as Record<string, Date>).gte = new Date(query.startDate);
where.createdAt.gte = new Date(query.startDate);
}
if (query.endDate) {
(where.createdAt as Record<string, Date>).lte = new Date(query.endDate);
where.createdAt.lte = new Date(query.endDate);
}
}
const usageLogs = await this.prisma.llmUsageLog.findMany({ where });
const usageLogs: LlmUsageLog[] = await this.prisma.llmUsageLog.findMany({ where });
// Aggregate totals
const totalCalls = usageLogs.length;
const totalPromptTokens = usageLogs.reduce((sum, log) => sum + log.promptTokens, 0);
const totalCompletionTokens = usageLogs.reduce((sum, log) => sum + log.completionTokens, 0);
const totalTokens = usageLogs.reduce((sum, log) => sum + log.totalTokens, 0);
const totalCostCents = usageLogs.reduce((sum, log) => sum + (log.costCents ?? 0), 0);
const totalCalls: number = usageLogs.length;
const totalPromptTokens: number = usageLogs.reduce(
(sum: number, log: LlmUsageLog) => sum + log.promptTokens,
0
);
const totalCompletionTokens: number = usageLogs.reduce(
(sum: number, log: LlmUsageLog) => sum + log.completionTokens,
0
);
const totalTokens: number = usageLogs.reduce(
(sum: number, log: LlmUsageLog) => sum + log.totalTokens,
0
);
const totalCostCents: number = usageLogs.reduce(
(sum: number, log: LlmUsageLog) => sum + (log.costCents ?? 0),
0
);
const durations = usageLogs.map((log) => log.durationMs).filter((d): d is number => d !== null);
const averageDurationMs =
durations.length > 0 ? durations.reduce((sum, d) => sum + d, 0) / durations.length : 0;
const durations: number[] = usageLogs
.map((log: LlmUsageLog) => log.durationMs)
.filter((d): d is number => d !== null);
const averageDurationMs: number =
durations.length > 0
? durations.reduce((sum: number, d: number) => sum + d, 0) / durations.length
: 0;
// Group by provider
const byProviderMap = new Map<string, ProviderUsageDto>();
for (const log of usageLogs) {
const existing = byProviderMap.get(log.provider);
const existing: ProviderUsageDto | undefined = byProviderMap.get(log.provider);
if (existing) {
existing.calls += 1;
existing.promptTokens += log.promptTokens;
existing.completionTokens += log.completionTokens;
existing.totalTokens += log.totalTokens;
existing.costCents += log.costCents ?? 0;
if (log.durationMs) {
const count = existing.calls === 1 ? 1 : existing.calls - 1;
if (log.durationMs !== null) {
const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
existing.averageDurationMs =
(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
}
} else {
byProviderMap.set(log.provider, {
const newProvider: ProviderUsageDto = {
provider: log.provider,
calls: 1,
promptTokens: log.promptTokens,
@@ -107,27 +124,28 @@ export class LlmUsageService {
totalTokens: log.totalTokens,
costCents: log.costCents ?? 0,
averageDurationMs: log.durationMs ?? 0,
});
};
byProviderMap.set(log.provider, newProvider);
}
}
// Group by model
const byModelMap = new Map<string, ModelUsageDto>();
for (const log of usageLogs) {
const existing = byModelMap.get(log.model);
const existing: ModelUsageDto | undefined = byModelMap.get(log.model);
if (existing) {
existing.calls += 1;
existing.promptTokens += log.promptTokens;
existing.completionTokens += log.completionTokens;
existing.totalTokens += log.totalTokens;
existing.costCents += log.costCents ?? 0;
if (log.durationMs) {
const count = existing.calls === 1 ? 1 : existing.calls - 1;
if (log.durationMs !== null) {
const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
existing.averageDurationMs =
(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
}
} else {
byModelMap.set(log.model, {
const newModel: ModelUsageDto = {
model: log.model,
calls: 1,
promptTokens: log.promptTokens,
@@ -135,28 +153,29 @@ export class LlmUsageService {
totalTokens: log.totalTokens,
costCents: log.costCents ?? 0,
averageDurationMs: log.durationMs ?? 0,
});
};
byModelMap.set(log.model, newModel);
}
}
// Group by task type
const byTaskTypeMap = new Map<string, TaskTypeUsageDto>();
for (const log of usageLogs) {
const taskType = log.taskType ?? "unknown";
const existing = byTaskTypeMap.get(taskType);
const taskType: string = log.taskType ?? "unknown";
const existing: TaskTypeUsageDto | undefined = byTaskTypeMap.get(taskType);
if (existing) {
existing.calls += 1;
existing.promptTokens += log.promptTokens;
existing.completionTokens += log.completionTokens;
existing.totalTokens += log.totalTokens;
existing.costCents += log.costCents ?? 0;
if (log.durationMs) {
const count = existing.calls === 1 ? 1 : existing.calls - 1;
if (log.durationMs !== null) {
const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
existing.averageDurationMs =
(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
}
} else {
byTaskTypeMap.set(taskType, {
const newTaskType: TaskTypeUsageDto = {
taskType,
calls: 1,
promptTokens: log.promptTokens,
@@ -164,11 +183,12 @@ export class LlmUsageService {
totalTokens: log.totalTokens,
costCents: log.costCents ?? 0,
averageDurationMs: log.durationMs ?? 0,
});
};
byTaskTypeMap.set(taskType, newTaskType);
}
}
return {
const response: UsageAnalyticsResponseDto = {
totalCalls,
totalPromptTokens,
totalCompletionTokens,
@@ -179,6 +199,8 @@ export class LlmUsageService {
byModel: Array.from(byModelMap.values()),
byTaskType: Array.from(byTaskTypeMap.values()),
};
return response;
}
/**
@@ -187,8 +209,8 @@ export class LlmUsageService {
* @param workspaceId - Workspace UUID
* @returns Array of usage logs
*/
async getUsageByWorkspace(workspaceId: string) {
return this.prisma.llmUsageLog.findMany({
async getUsageByWorkspace(workspaceId: string): Promise<LlmUsageLog[]> {
return await this.prisma.llmUsageLog.findMany({
where: { workspaceId },
orderBy: { createdAt: "desc" },
});
@@ -201,8 +223,8 @@ export class LlmUsageService {
* @param provider - Provider name
* @returns Array of usage logs
*/
async getUsageByProvider(workspaceId: string, provider: string) {
return this.prisma.llmUsageLog.findMany({
async getUsageByProvider(workspaceId: string, provider: string): Promise<LlmUsageLog[]> {
return await this.prisma.llmUsageLog.findMany({
where: { workspaceId, provider },
orderBy: { createdAt: "desc" },
});
@@ -215,8 +237,8 @@ export class LlmUsageService {
* @param model - Model name
* @returns Array of usage logs
*/
async getUsageByModel(workspaceId: string, model: string) {
return this.prisma.llmUsageLog.findMany({
async getUsageByModel(workspaceId: string, model: string): Promise<LlmUsageLog[]> {
return await this.prisma.llmUsageLog.findMany({
where: { workspaceId, model },
orderBy: { createdAt: "desc" },
});