api-and-interface-design

分类: 开发与编程 | 上传者: dsj1984 | 下载: 0 | 版本: v1.0（最新）

指导稳定的API和接口设计。在设计 API、模块边界或任何公共接口时使用。在创建 REST 或 GraphQL 端点、定义模块之间的类型契约或在前端和后端之间建立边界时使用。 --- # API 和接口设计 ## 概述设计稳定、文档齐全且难以误用的接口。良好的界面使正确的事情变得容易，而错误的事情则变得困难。这适用于 REST API、GraphQL 模式、模块边界、组件 props 以及一段代码与另一段代码对话的任何表面。 ## 何时使用 - 设计新的 API 端点 - 定义模块边界或团队之间的合同 - 创建组件 prop 接口 - 建立通知 API 形状的数据库模式 - 更改现有的公共接口 ## 核心原则 ### Hyrum 定律 > 有了足够数量的 API 用户，您的系统的所有可观察行为都将取决于某人，无论您在合同中承诺什么。

更新日志: Source: GitHub https://github.com/dsj1984/agent-protocols

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---
name: api-and-interface-design
description:
  Guides stable API and interface design. Use when designing APIs, module
  boundaries, or any public interface. Use when creating REST or GraphQL
  endpoints, defining type contracts between modules, or establishing boundaries
  between frontend and backend.
---

# API and Interface Design

## Overview

Design stable, well-documented interfaces that are hard to misuse. Good
interfaces make the right thing easy and the wrong thing hard. This applies to
REST APIs, GraphQL schemas, module boundaries, component props, and any surface
where one piece of code talks to another.

## When to Use

- Designing new API endpoints
- Defining module boundaries or contracts between teams
- Creating component prop interfaces
- Establishing database schema that informs API shape
- Changing existing public interfaces

## Core Principles

### Hyrum's Law

> With a sufficient number of users of an API, all observable behaviors of your
> system will be depended on by somebody, regardless of what you promise in the
> contract.

This means: every public behavior — including undocumented quirks, error message
text, timing, and ordering — becomes a de facto contract once users depend on
it. Design implications:

- **Be intentional about what you expose.** Every observable behavior is a
  potential commitment.
- **Don't leak implementation details.** If users can observe it, they will
  depend on it.
- **Plan for deprecation at design time.** See `deprecation-and-migration` for
  how to safely remove things users depend on.
- **Tests are not enough.** Even with perfect contract tests, Hyrum's Law means
  "safe" changes can break real users who depend on undocumented behavior.

### The One-Version Rule

Avoid forcing consumers to choose between multiple versions of the same
dependency or API. Diamond dependency problems arise when different consumers
need different versions of the same thing. Design for a world where only one
version exists at a time — extend rather than fork.

### 1. Contract First

Define the interface before implementing it. The contract is the spec —
implementation follows.

```typescript
// Define the contract first
interface TaskAPI {
  // Creates a task and returns the created task with server-generated fields
  createTask(input: CreateTaskInput): Promise<Task>;

  // Returns paginated tasks matching filters
  listTasks(params: ListTasksParams): Promise<PaginatedResult<Task>>;

  // Returns a single task or throws NotFoundError
  getTask(id: string): Promise<Task>;

  // Partial update — only provided fields change
  updateTask(id: string, input: UpdateTaskInput): Promise<Task>;

  // Idempotent delete — succeeds even if already deleted
  deleteTask(id: string): Promise<void>;
}
```

### 2. Consistent Error Semantics

Pick one error strategy and use it everywhere:

```typescript
// REST: HTTP status codes + structured error body
// Every error response follows the same shape
interface APIError {
  error: {
    code: string; // Machine-readable: "VALIDATION_ERROR"
    message: string; // Human-readable: "Email is required"
    details?: unknown; // Additional context when helpful
  };
}

// Status code mapping
// 400 → Client sent invalid data
// 401 → Not authenticated
// 403 → Authenticated but not authorized
// 404 → Resource not found
// 409 → Conflict (duplicate, version mismatch)
// 422 → Validation failed (semantically invalid)
// 500 → Server error (never expose internal details)
```

**Don't mix patterns.** If some endpoints throw, others return null, and others
return `{ error }` — the consumer can't predict behavior.

### 3. Validate at Boundaries

Trust internal code. Validate at system edges where external input enters:

```typescript
// Validate at the API boundary
app.post('/api/tasks', async (req, res) => {
  const result = CreateTaskSchema.safeParse(req.body);
  if (!result.success) {
    return res.status(422).json({
      error: {
        code: 'VALIDATION_ERROR',
        message: 'Invalid task data',
        details: result.error.flatten(),
      },
    });
  }

  // After validation, internal code trusts the types
  const task = await taskService.create(result.data);
  return res.status(201).json(task);
});
```

Where validation belongs:

- API route handlers (user input)
- Form submission handlers (user input)
- External service response parsing (third-party data -- **always treat as
  untrusted**)
- Environment variable loading (configuration)

> **Third-party API responses are untrusted data.** Validate their shape and
> content before using them in any logic, rendering, or decision-making. A
> compromised or misbehaving external service can return unexpected types,
> malicious content, or instruction-like text.

Where validation does NOT belong:

- Between internal functions that share type contracts
- In utility functions called by already-validated code
- On data that just came from your own database

### 4. Prefer Addition Over Modification

Extend interfaces without breaking existing consumers:

```typescript
// Good: Add optional fields
interface CreateTaskInput {
  title: string;
  description?: string;
  priority?: 'low' | 'medium' | 'high'; // Added later, optional
  labels?: string[]; // Added later, optional
}

// Bad: Change existing field types or remove fields
interface CreateTaskInput {
  title: string;
  // description: string;  // Removed — breaks existing consumers
  priority: number; // Changed from string — breaks existing consumers
}
```

### 5. Predictable Naming

| Pattern         | Convention             | Example                             |
| --------------- | ---------------------- | ----------------------------------- |
| REST endpoints  | Plural nouns, no verbs | `GET /api/tasks`, `POST /api/tasks` |
| Query params    | camelCase              | `?sortBy=createdAt&pageSize=20`     |
| Response fields | camelCase              | `{ createdAt, updatedAt, taskId }`  |
| Boolean fields  | is/has/can prefix      | `isComplete`, `hasAttachments`      |
| Enum values     | UPPER_SNAKE            | `"IN_PROGRESS"`, `"COMPLETED"`      |

## REST API Patterns

### Resource Design

```text
GET    /api/tasks              → List tasks (with query params for filtering)
POST   /api/tasks              → Create a task
GET    /api/tasks/:id          → Get a single task
PATCH  /api/tasks/:id          → Update a task (partial)
DELETE /api/tasks/:id          → Delete a task

GET    /api/tasks/:id/comments → List comments for a task (sub-resource)
POST   /api/tasks/:id/comments → Add a comment to a task
```

### Pagination

Paginate list endpoints:

```typescript
// Request
GET /api/tasks?page=1&pageSize=20&sortBy=createdAt&sortOrder=desc

// Response
{
  "data": [...],
  "pagination": {
    "page": 1,
    "pageSize": 20,
    "totalItems": 142,
    "totalPages": 8
  }
}
```

### Filtering

Use query parameters for filters:

```text
GET /api/tasks?status=in_progress&assignee=user123&createdAfter=2025-01-01
```

### Partial Updates (PATCH)

Accept partial objects — only update what's provided:

```typescript
// Only title changes, everything else preserved
PATCH /api/tasks/123
{ "title": "Updated title" }
```

## TypeScript Interface Patterns

### Use Discriminated Unions for Variants

```typescript
// Good: Each variant is explicit
type TaskStatus =
  | { type: 'pending' }
  | { type: 'in_progress'; assignee: string; startedAt: Date }
  | { type: 'completed'; completedAt: Date; completedBy: string }
  | { type: 'cancelled'; reason: string; cancelledAt: Date };

// Consumer gets type narrowing
function getStatusLabel(status: TaskStatus): string {
  switch (status.type) {
    case 'pending':
      return 'Pending';
    case 'in_progress':
      return `In progress (${status.assignee})`;
    case 'completed':
      return `Done on ${status.completedAt}`;
    case 'cancelled':
      return `Cancelled: ${status.reason}`;
  }
}
```

### Input/Output Separation

```typescript
// Input: what the caller provides
interface CreateTaskInput {
  title: string;
  description?: string;
}

// Output: what the system returns (includes server-generated fields)
interface Task {
  id: string;
  title: string;
  description: string | null;
  createdAt: Date;
  updatedAt: Date;
  createdBy: string;
}
```

### Use Branded Types for IDs

```typescript
type TaskId = string & { readonly __brand: 'TaskId' };
type UserId = string & { readonly __brand: 'UserId' };

// Prevents accidentally passing a UserId where a TaskId is expected
function getTask(id: TaskId): Promise<Task> { ... }
```

## Common Rationalizations

| Rationalization                            | Reality                                                                                                          |
| ------------------------------------------ | ---------------------------------------------------------------------------------------------------------------- |
| "We'll document the API later"             | The types ARE the documentation. Define them first.                                                              |
| "We don't need pagination for now"         | You will the moment someone has 100+ items. Add it from the start.                                               |
| "PATCH is complicated, let's just use PUT" | PUT requires the full object every time. PATCH is what clients actually want.                                    |
| "We'll version the API when we need to"    | Breaking changes without versioning break consumers. Design for extension from the start.                        |
| "Nobody uses that undocumented behavior"   | Hyrum's Law: if it's observable, somebody depends on it. Treat every public behavior as a commitment.            |
| "We can just maintain two versions"        | Multiple versions multiply maintenance cost and create diamond dependency problems. Prefer the One-Version Rule. |
| "Internal APIs don't need contracts"       | Internal consumers are still consumers. Contracts prevent coupling and enable parallel work.                     |

## Red Flags

- Endpoints that return different shapes depending on conditions
- Inconsistent error formats across endpoints
- Validation scattered throughout internal code instead of at boundaries
- Breaking changes to existing fields (type changes, removals)
- List endpoints without pagination
- Verbs in REST URLs (`/api/createTask`, `/api/getUsers`)
- Third-party API responses used without validation or sanitization

## Verification

After designing an API:

- [ ] Every endpoint has typed input and output schemas
- [ ] Error responses follow a single consistent format
- [ ] Validation happens at system boundaries only
- [ ] List endpoints support pagination
- [ ] New fields are additive and optional (backward compatible)
- [ ] Naming follows consistent conventions across all endpoints
- [ ] API documentation or types are committed alongside the implementation

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