Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Establish consistency and best practices across Langfuse's backend packages (web, worker, packages/shared) using Next.js 14, tRPC, BullMQ, and TypeScript patterns.
Automatically activates when working on:
features/[feature]/server/*Router.ts__tests__/pages/api/public/withMiddlewares + createAuthedProjectAPIRoutefeatures/public-api/types/__tests__/async/worker/src/queues/packages/shared/src/server/queuesfeatures/ or worker/src/features/# Web Package (Next.js 14)
┌─ tRPC API ──────────────────┐ ┌── Public REST API ──────────┐
│ │ │ │
│ HTTP Request │ │ HTTP Request │
│ ↓ │ │ ↓ │
│ tRPC Procedure │ │ withMiddlewares + │
│ (protectedProjectProcedure)│ │ createAuthedProjectAPIRoute│
│ ↓ │ │ ↓ │
│ Service (business logic) │ │ Service (business logic) │
│ ↓ │ │ ↓ │
│ Prisma / ClickHouse │ │ Prisma / ClickHouse │
│ │ │ │
└─────────────────────────────┘ └─────────────────────────────┘
↓
[optional]: Publish to Redis BullMQ queue
↓
┌─ Worker Package (Express) ──────────────────────────────────┐
│ │
│ BullMQ Queue Job │
│ ↓ │
│ Queue Processor (handles job) │
│ ↓ │
│ Service (business logic) │
│ ↓ │
│ Prisma / ClickHouse │
│ │
└─────────────────────────────────────────────────────────────┘
Key Principles:
See architecture-overview.md for complete details.
/web/)web/src/
├── features/ # Feature-organized code
│ ├── [feature-name]/
│ │ ├── server/ # Backend logic
│ │ │ ├── *Router.ts # tRPC router
│ │ │ └── service.ts # Business logic
│ │ ├── components/ # React components
│ │ └── types/ # Feature types
├── server/
│ ├── api/
│ │ ├── routers/ # tRPC routers
│ │ ├── trpc.ts # tRPC setup & middleware
│ │ └── root.ts # Main router
│ ├── auth.ts # NextAuth.js config
│ └── db.ts # Database client
├── pages/
│ ├── api/
│ │ ├── public/ # Public REST APIs
│ │ └── trpc/ # tRPC endpoint
│ └── [routes].tsx # Next.js pages
├── __tests__/ # Jest tests
│ └── async/ # Integration tests
├── instrumentation.ts # OpenTelemetry (FIRST IMPORT)
└── env.mjs # Environment config
/worker/)worker/src/
├── queues/ # BullMQ processors
│ ├── evalQueue.ts
│ ├── ingestionQueue.ts
│ └── workerManager.ts
├── features/ # Business logic
│ └── [feature]/
│ └── service.ts
├── instrumentation.ts # OpenTelemetry (FIRST IMPORT)
├── app.ts # Express setup + queue registration
├── env.ts # Environment config
└── index.ts # Server start
/packages/shared/)shared/src/
├── server/ # Server utilities
│ ├── auth/ # Authentication helpers
│ ├── clickhouse/ # ClickHouse client & schema
│ ├── instrumentation/ # OpenTelemetry helpers
│ ├── llm/ # LLM integration utilities
│ ├── redis/ # Redis queues & cache
│ ├── repositories/ # Data repositories
│ ├── services/ # Shared services
│ ├── utils/ # Server utilities
│ ├── logger.ts
│ └── queues.ts
├── encryption/ # Encryption utilities
├── features/ # Feature-specific code
├── tableDefinitions/ # Table schemas
├── utils/ # Shared utilities
├── constants.ts
├── db.ts # Prisma client
├── env.ts # Environment config
└── index.ts # Main exports
Import Paths (package.json exports):
The shared package exposes specific import paths for different use cases:
| Import Path | Maps To | Use For |
|---|---|---|
@langfuse/shared | dist/src/index.js | General types, schemas, utilities, constants |
@langfuse/shared/src/db | dist/src/db.js | Prisma client and database types |
@langfuse/shared/src/server | dist/src/server/index.js | Server-side utilities (queues, auth, services, instrumentation) |
@langfuse/shared/src/server/auth/apiKeys | dist/src/server/auth/apiKeys.js | API key management utilities |
@langfuse/shared/encryption | dist/src/encryption/index.js | Encryption and signature utilities |
Usage Examples:
// General imports - types, schemas, constants, interfaces
import {
CloudConfigSchema,
StringNoHTML,
AnnotationQueueObjectType,
type APIScoreV2,
type ColumnDefinition,
Role,
} from "@langfuse/shared";
// Database - Prisma client and types
import { prisma, Prisma, JobExecutionStatus } from "@langfuse/shared/src/db";
import { type DB as Database } from "@langfuse/shared";
// Server utilities - queues, services, auth, instrumentation
import {
logger,
instrumentAsync,
traceException,
redis,
getTracesTable,
StorageService,
sendMembershipInvitationEmail,
invalidateApiKeysForProject,
recordIncrement,
recordHistogram,
} from "@langfuse/shared/src/server";
// API key management (specific path)
import { createAndAddApiKeysToDb } from "@langfuse/shared/src/server/auth/apiKeys";
// Encryption utilities
import { encrypt, decrypt, sign, verify } from "@langfuse/shared/encryption";
What Goes Where:
The shared package provides types, utilities, and server code used by both web and worker packages. It has 5 export paths that control frontend vs backend access:
| Import Path | Usage | What's Included |
|---|---|---|
@langfuse/shared | ✅ Frontend + Backend | Prisma types, Zod schemas, constants, table definitions, domain models, utilities |
@langfuse/shared/src/db | 🔒 Backend only | Prisma client instance |
@langfuse/shared/src/server | 🔒 Backend only | Services, repositories, queues, auth, ClickHouse, LLM integration, instrumentation |
@langfuse/shared/src/server/auth/apiKeys | 🔒 Backend only | API key management (separated to avoid circular deps) |
@langfuse/shared/encryption | 🔒 Backend only | Database field encryption/decryption |
Naming Conventions:
camelCaseRouter.ts - datasetRouter.tsservice.ts in feature directorycamelCaseQueue.ts - evalQueue.tskebab-case.ts - dataset-items.ts// ❌ NEVER: Business logic in procedures
export const traceRouter = createTRPCRouter({
byId: protectedProjectProcedure
.input(z.object({ traceId: z.string() }))
.query(async ({ input, ctx }) => {
// 200 lines of logic here
}),
});
// ✅ ALWAYS: Delegate to service
export const traceRouter = createTRPCRouter({
byId: protectedProjectProcedure
.input(z.object({ traceId: z.string() }))
.query(async ({ input, ctx }) => {
return await getTraceById(input.traceId);
}),
});
// ❌ NEVER (except in env.mjs itself)
const dbUrl = process.env.DATABASE_URL;
// ✅ ALWAYS
import { env } from "@/src/env.mjs";
const dbUrl = env.DATABASE_URL;
import { z } from "zod/v4";
const schema = z.object({
email: z.string().email(),
projectId: z.string(),
});
const validated = schema.parse(input);
// Services use Prisma directly for simple CRUD
import { prisma } from "@langfuse/shared/src/db";
const dataset = await prisma.dataset.findUnique({
where: { id: datasetId, projectId }, // Always filter by projectId for tenant isolation
});
// Or use repositories for complex queries (traces, observations, scores)
import { getTracesTable } from "@langfuse/shared/src/server";
const traces = await getTracesTable({
projectId,
filter: [...],
limit: 1000,
});
Langfuse uses OpenTelemetry for backend observability, with traces and logs sent to DataDog.
// Import observability utilities
import {
logger, // Winston logger with OpenTelemetry/DataDog context
traceException, // Record exceptions to OpenTelemetry spans
instrumentAsync, // Create instrumented spans
} from "@langfuse/shared/src/server";
// Structured logging (includes trace_id, span_id, dd.trace_id)
logger.info("Processing dataset", { datasetId, projectId });
logger.error("Failed to create dataset", { error: err.message });
// Record exceptions to OpenTelemetry (sent to DataDog)
try {
await operation();
} catch (error) {
traceException(error); // Records to current span
throw error;
}
// Instrument critical operations (all API routes auto-instrumented)
const result = await instrumentAsync(
{ name: "dataset.create" },
async (span) => {
span.setAttributes({ datasetId, projectId });
// Operation here
return dataset;
},
);
Note: Frontend uses Sentry, but backend (tRPC, API routes, services, worker) uses OpenTelemetry + DataDog.
Write tests for all new features and bug fixes. See testing-guide.md for detailed examples.
Test Types:
| Type | Framework | Location | Purpose |
|---|---|---|---|
| Integration | Jest | web/src/__tests__/async/ | Full API endpoint testing |
| tRPC | Jest | web/src/__tests__/async/ | tRPC procedures with auth |
| Service | Jest | web/src/__tests__/async/repositories/ | Repository/service functions |
| Worker | Vitest | worker/src/__tests__/ | Queue processors & streams |
Quick Examples:
// Integration Test (Public API)
const res = await makeZodVerifiedAPICall(
PostDatasetsV1Response, "POST", "/api/public/datasets",
{ name: "test-dataset" }, auth
);
expect(res.status).toBe(200);
// tRPC Test
const { caller } = await prepare(); // Creates session + caller
const response = await caller.automations.getAutomations({ projectId });
expect(response).toHaveLength(1);
// Service Test
const result = await getObservationsWithModelDataFromEventsTable({
projectId, filter: [...], limit: 1000, offset: 0
});
expect(result.length).toBeGreaterThan(0);
// Worker Test (vitest)
const stream = await getObservationStream({ projectId, filter: [] });
const rows = [];
for await (const chunk of stream) rows.push(chunk);
expect(rows).toHaveLength(2);
Key Principles:
randomUUID()) to avoid test interferencepruneDatabase in tests// ✅ CORRECT: Filter by projectId for tenant isolation
const trace = await prisma.trace.findUnique({
where: { id: traceId, projectId }, // Required for multi-tenant data isolation
});
// ✅ CORRECT: ClickHouse queries also require projectId
const traces = await queryClickhouse({
query: `
SELECT * FROM traces
WHERE project_id = {projectId: String}
AND timestamp >= {startTime: DateTime64(3)}
`,
params: { projectId, startTime },
});
// tRPC (Web)
import { z } from "zod/v4";
import {
createTRPCRouter,
protectedProjectProcedure,
} from "@/src/server/api/trpc";
import { TRPCError } from "@trpc/server";
// Database
import { prisma } from "@langfuse/shared/src/db";
import type { Prisma } from "@prisma/client";
// ClickHouse
import {
queryClickhouse,
queryClickhouseStream,
upsertClickhouse,
} from "@langfuse/shared/src/server";
// Observability - OpenTelemetry + DataDog (NOT Sentry for backend)
import {
logger, // Winston logger with OTEL/DataDog trace context
traceException, // Record exceptions to OpenTelemetry spans
instrumentAsync, // Create instrumented spans for operations
} from "@langfuse/shared/src/server";
// Config
import { env } from "@/src/env.mjs"; // web
// or
import { env } from "./env"; // worker
// Public API (Web)
import { withMiddlewares } from "@/src/features/public-api/server/withMiddlewares";
import { createAuthedProjectAPIRoute } from "@/src/features/public-api/server/createAuthedProjectAPIRoute";
// Queue Processing (Worker)
import { Job } from "bullmq";
import { QueueName, TQueueJobTypes } from "@langfuse/shared/src/server";
| Code | Use Case |
|---|---|
| 200 | Success |
| 201 | Created |
| 400 | Bad Request |
| 401 | Unauthorized |
| 403 | Forbidden |
| 404 | Not Found |
| 500 | Server Error |
Reference existing Langfuse features for implementation patterns:
web/src/features/datasets/) - Complete feature with tRPC router, public API, and serviceweb/src/features/prompts/) - Feature with versioning and templatesweb/src/features/evals/) - Complex feature with worker integrationweb/src/features/public-api/) - Middleware and route patterns❌ Business logic in routes/procedures ❌ Direct process.env usage (always use env.mjs/env.ts) ❌ Missing error handling ❌ No input validation (always use Zod v4) ❌ Missing projectId filter on tenant-scoped queries ❌ console.log instead of logger/traceException (OpenTelemetry)
| Need to... | Read this |
|---|---|
| Understand architecture | architecture-overview.md |
| Create routes/controllers | routing-and-controllers.md |
| Organize business logic | services-and-repositories.md |
| Create middleware | middleware-guide.md |
| Database access | database-patterns.md |
| Manage config | configuration.md |
| Write tests | testing-guide.md |
Three-layer architecture (tRPC/Public API → Services → Data Access), request lifecycle for tRPC/Public API/Worker, Next.js 14 directory structure, dual database system (PostgreSQL + ClickHouse), separation of concerns, repository pattern for complex queries
Next.js file-based routing, tRPC router patterns, Public REST API routes, layered architecture (Entry Points → Services → Repositories → Database), service layer organization, anti-patterns to avoid
Service layer overview, dependency injection patterns, singleton patterns, repository pattern for data access, service design principles, caching strategies, testing services
tRPC middleware (withErrorHandling, withOtelInstrumentation, enforceUserIsAuthed), seven tRPC procedure types (publicProcedure, authenticatedProcedure, protectedProjectProcedure, etc.), Public API middleware (withMiddlewares, createAuthedProjectAPIRoute), authentication patterns (NextAuth for tRPC, Basic Auth for Public API)
Dual database architecture (PostgreSQL via Prisma + ClickHouse via direct client), PostgreSQL CRUD operations, ClickHouse query patterns (queryClickhouse, queryClickhouseStream, upsertClickhouse), repository pattern for complex queries, tenant isolation with projectId filtering, when to use which database
Environment variable validation with Zod, package-specific configs (web/env.mjs with t3-oss/env-nextjs, worker/env.ts, shared/env.ts), NEXT_PUBLIC_LANGFUSE_CLOUD_REGION usage, LANGFUSE_EE_LICENSE_KEY for enterprise features, best practices for env management
Integration tests (Public API with makeZodVerifiedAPICall), tRPC tests (createInnerTRPCContext, appRouter.createCaller), service-level tests (repository/service functions), worker tests (vitest with streams), test isolation principles, running tests (Jest for web, vitest for worker)
Skill Status: COMPLETE ✅ Line Count: ~540 lines Progressive Disclosure: 7 resource files ✅
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。