wrangler

Wrangler CLI

你对 Wrangler CLI 标志、配置字段和子命令的了解可能已经过时。处理任何 Wrangler 任务时，优先检索信息，而不是依赖预训练知识。

检索来源

在编写或审查 Wrangler 命令和配置之前，先获取最新信息。不要依赖内置知识来处理 CLI 标志、配置字段或绑定结构。

来源	检索方式	用途
Wrangler 文档	https://developers.cloudflare.com/workers/wrangler/	CLI 命令、标志、配置参考
Wrangler 配置架构	node_modules/wrangler/config-schema.json	配置字段、绑定结构、允许的值
Cloudflare 文档	搜索工具或 https://developers.cloudflare.com/workers/	API 参考、兼容性日期/标志

首先：验证 Wrangler 是否已安装

wrangler --version  # Requires v4.x+

如果尚未安装：

npm install -D wrangler@latest

关键指南

• 使用 wrangler.jsonc：优先选择 JSON 配置，而不是 TOML。较新的功能仅支持 JSON。
• 设置 compatibility_date：使用近期日期（30 天以内）。请查看 https://developers.cloudflare.com/workers/configuration/compatibility-dates/
• 配置更改后生成类型：运行 wrangler types 更新 TypeScript 绑定。
• 本地开发默认使用本地存储：除非设置 remote: true，否则绑定会使用本地模拟。
• 部署前验证配置：运行 wrangler check，及早发现错误。
• 使用环境区分预发布和生产环境：在配置中定义 env.staging 和 env.production。

快速入门：新建 Worker

# Initialize new project
npx wrangler init my-worker

# Or with a framework
npx create-cloudflare@latest my-app

快速参考：核心命令

任务	命令
启动本地开发服务器	wrangler dev
部署到 Cloudflare	wrangler deploy
执行部署试运行	wrangler deploy --dry-run
生成 TypeScript 类型	wrangler types
验证配置	wrangler check
查看实时日志	wrangler tail
删除 Worker	wrangler delete
身份验证状态	wrangler whoami

---

配置（wrangler.jsonc）

最小配置

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2026-01-01",
}

包含绑定的完整配置

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2026-01-01",
  "compatibility_flags": ["nodejs_compat_v2"],

  // Environment variables
  "vars": {
    "ENVIRONMENT": "production",
  },

  // KV Namespace
  "kv_namespaces": [{ "binding": "KV", "id": "<KV_NAMESPACE_ID>" }],

  // R2 Bucket
  "r2_buckets": [{ "binding": "BUCKET", "bucket_name": "my-bucket" }],

  // D1 Database
  "d1_databases": [{ "binding": "DB", "database_name": "my-db", "database_id": "<DB_ID>" }],

  // Workers AI (always remote)
  "ai": { "binding": "AI" },

  // Vectorize
  "vectorize": [{ "binding": "VECTOR_INDEX", "index_name": "my-index" }],

  // Hyperdrive
  "hyperdrive": [{ "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }],

  // Durable Objects
  "durable_objects": {
    "bindings": [{ "name": "COUNTER", "class_name": "Counter" }],
  },

  // Cron triggers
  "triggers": {
    "crons": ["0 * * * *"],
  },

  // Environments
  "env": {
    "staging": {
      "name": "my-worker-staging",
      "vars": { "ENVIRONMENT": "staging" },
    },
  },
}

根据配置生成类型

# Generate worker-configuration.d.ts
wrangler types

# Custom output path
wrangler types ./src/env.d.ts

# Check types are up to date (CI)
wrangler types --check

---

本地开发

启动开发服务器

# Local mode (default) - uses local storage simulation
wrangler dev

# With specific environment
wrangler dev --env staging

# Force local-only (disable remote bindings)
wrangler dev --local

# Remote mode - runs on Cloudflare edge (legacy)
wrangler dev --remote

# Custom port
wrangler dev --port 8787

# Live reload for HTML changes
wrangler dev --live-reload

# Test scheduled/cron handlers
wrangler dev --test-scheduled
# Then visit: http://localhost:8787/__scheduled

本地开发的远程绑定

在绑定配置中使用 remote: true，即可在本地运行时连接到真实资源：

{
  "r2_buckets": [{ "binding": "BUCKET", "bucket_name": "my-bucket", "remote": true }],
  "ai": { "binding": "AI", "remote": true },
  "vectorize": [{ "binding": "INDEX", "index_name": "my-index", "remote": true }],
}

建议使用远程绑定：AI（必需）、Vectorize、Browser Rendering、mTLS、Images。

本地密钥

为本地开发创建 .dev.vars：

API_KEY=local-dev-key
DATABASE_URL=postgres://localhost:5432/dev

---

部署

部署 Worker

# Deploy to production
wrangler deploy

# Deploy specific environment
wrangler deploy --env staging

# Dry run (validate without deploying)
wrangler deploy --dry-run

# Keep dashboard-set variables
wrangler deploy --keep-vars

# Minify code
wrangler deploy --minify

管理密钥

# Set secret interactively
wrangler secret put API_KEY

# Set from stdin
echo "secret-value" | wrangler secret put API_KEY

# List secrets
wrangler secret list

# Delete secret
wrangler secret delete API_KEY

# Bulk secrets from JSON file
wrangler secret bulk secrets.json

版本与回滚

# List recent versions
wrangler versions list

# View specific version
wrangler versions view <VERSION_ID>

# Rollback to previous version
wrangler rollback

# Rollback to specific version
wrangler rollback <VERSION_ID>

---

KV（键值存储）

管理命名空间

# Create namespace
wrangler kv namespace create MY_KV

# List namespaces
wrangler kv namespace list

# Delete namespace
wrangler kv namespace delete --namespace-id <ID>

管理键

# Put value
wrangler kv key put --namespace-id <ID> "key" "value"

# Put with expiration (seconds)
wrangler kv key put --namespace-id <ID> "key" "value" --expiration-ttl 3600

# Get value
wrangler kv key get --namespace-id <ID> "key"

# List keys
wrangler kv key list --namespace-id <ID>

# Delete key
wrangler kv key delete --namespace-id <ID> "key"

# Bulk put from JSON
wrangler kv bulk put --namespace-id <ID> data.json

配置绑定

{
  "kv_namespaces": [{ "binding": "CACHE", "id": "<NAMESPACE_ID>" }],
}

---

R2（对象存储）

管理存储桶

# Create bucket
wrangler r2 bucket create my-bucket

# Create with location hint
wrangler r2 bucket create my-bucket --location wnam

# List buckets
wrangler r2 bucket list

# Get bucket info
wrangler r2 bucket info my-bucket

# Delete bucket
wrangler r2 bucket delete my-bucket

管理对象

# Upload object
wrangler r2 object put my-bucket/path/file.txt --file ./local-file.txt

# Download object
wrangler r2 object get my-bucket/path/file.txt

# Delete object
wrangler r2 object delete my-bucket/path/file.txt

配置绑定

{
  "r2_buckets": [{ "binding": "ASSETS", "bucket_name": "my-bucket" }],
}

---

D1（SQL 数据库）

管理数据库

# Create database
wrangler d1 create my-database

# Create with location
wrangler d1 create my-database --location wnam

# List databases
wrangler d1 list

# Get database info
wrangler d1 info my-database

# Delete database
wrangler d1 delete my-database

执行 SQL

# Execute SQL command (remote)
wrangler d1 execute my-database --remote --command "SELECT * FROM users"

# Execute SQL file (remote)
wrangler d1 execute my-database --remote --file ./schema.sql

# Execute locally
wrangler d1 execute my-database --local --command "SELECT * FROM users"

迁移

# Create migration
wrangler d1 migrations create my-database create_users_table

# List pending migrations
wrangler d1 migrations list my-database --local

# Apply migrations locally
wrangler d1 migrations apply my-database --local

# Apply migrations to remote
wrangler d1 migrations apply my-database --remote

导出/备份

# Export schema and data
wrangler d1 export my-database --remote --output backup.sql

# Export schema only
wrangler d1 export my-database --remote --output schema.sql --no-data

配置绑定

{
  "d1_databases": [
    {
      "binding": "DB",
      "database_name": "my-database",
      "database_id": "<DATABASE_ID>",
      "migrations_dir": "./migrations",
    },
  ],
}

---

Vectorize（向量数据库）

管理索引

# Create index with dimensions
wrangler vectorize create my-index --dimensions 768 --metric cosine

# Create with preset (auto-configures dimensions/metric)
wrangler vectorize create my-index --preset @cf/baai/bge-base-en-v1.5

# List indexes
wrangler vectorize list

# Get index info
wrangler vectorize get my-index

# Delete index
wrangler vectorize delete my-index

管理向量

# Insert vectors from NDJSON file
wrangler vectorize insert my-index --file vectors.ndjson

# Query vectors
wrangler vectorize query my-index --vector "[0.1, 0.2, ...]" --top-k 10

配置绑定

{
  "vectorize": [{ "binding": "SEARCH_INDEX", "index_name": "my-index" }],
}

---

Hyperdrive（数据库加速器）

管理配置

# Create config
wrangler hyperdrive create my-hyperdrive \
  --connection-string "postgres://user:pass@host:5432/database"

# List configs
wrangler hyperdrive list

# Get config details
wrangler hyperdrive get <HYPERDRIVE_ID>

# Update config
wrangler hyperdrive update <HYPERDRIVE_ID> --origin-password "new-password"

# Delete config
wrangler hyperdrive delete <HYPERDRIVE_ID>

配置绑定

{
  "compatibility_flags": ["nodejs_compat_v2"],
  "hyperdrive": [{ "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }],
}

---

Workers AI

列出模型

# List available models
wrangler ai models

# List finetunes
wrangler ai finetune list

配置绑定

{
  "ai": { "binding": "AI" },
}

注意：Workers AI 始终在远程运行，即使在本地开发时也会产生使用费用。

---

队列

管理队列

# Create queue
wrangler queues create my-queue

# List queues
wrangler queues list

# Delete queue
wrangler queues delete my-queue

# Add consumer to queue
wrangler queues consumer add my-queue my-worker

# Remove consumer
wrangler queues consumer remove my-queue my-worker

配置绑定

{
  "queues": {
    "producers": [{ "binding": "MY_QUEUE", "queue": "my-queue" }],
    "consumers": [
      {
        "queue": "my-queue",
        "max_batch_size": 10,
        "max_batch_timeout": 30,
      },
    ],
  },
}

---

容器

构建并推送镜像

# Build container image
wrangler containers build -t my-app:latest .

# Build and push in one command
wrangler containers build -t my-app:latest . --push

# Push existing image to Cloudflare registry
wrangler containers push my-app:latest

管理容器

# List containers
wrangler containers list

# Get container info
wrangler containers info <CONTAINER_ID>

# Delete container
wrangler containers delete <CONTAINER_ID>

管理镜像

# List images in registry
wrangler containers images list

# Delete image
wrangler containers images delete my-app:latest

管理外部注册表

# List configured registries
wrangler containers registries list

# Configure external registry (e.g., ECR)
wrangler containers registries configure <DOMAIN> \
  --public-credential <AWS_ACCESS_KEY_ID>

# Delete registry configuration
wrangler containers registries delete <DOMAIN>

---

工作流

管理工作流

# List workflows
wrangler workflows list

# Describe workflow
wrangler workflows describe my-workflow

# Trigger workflow instance
wrangler workflows trigger my-workflow

# Trigger with parameters
wrangler workflows trigger my-workflow --params '{"key": "value"}'

# Delete workflow
wrangler workflows delete my-workflow

管理工作流实例

# List instances
wrangler workflows instances list my-workflow

# Describe instance
wrangler workflows instances describe my-workflow <INSTANCE_ID>

# Terminate instance
wrangler workflows instances terminate my-workflow <INSTANCE_ID>

配置绑定

{
  "workflows": [
    {
      "binding": "MY_WORKFLOW",
      "name": "my-workflow",
      "class_name": "MyWorkflow",
    },
  ],
}

---

流水线

管理流水线

# Create pipeline
wrangler pipelines create my-pipeline --r2 my-bucket

# List pipelines
wrangler pipelines list

# Show pipeline details
wrangler pipelines show my-pipeline

# Update pipeline
wrangler pipelines update my-pipeline --batch-max-mb 100

# Delete pipeline
wrangler pipelines delete my-pipeline

配置绑定

{
  "pipelines": [{ "binding": "MY_PIPELINE", "pipeline": "my-pipeline" }],
}

---

密钥存储

管理存储

# Create store
wrangler secrets-store store create my-store

# List stores
wrangler secrets-store store list

# Delete store
wrangler secrets-store store delete <STORE_ID>

管理存储中的密钥

# Add secret to store
wrangler secrets-store secret put <STORE_ID> my-secret

# List secrets in store
wrangler secrets-store secret list <STORE_ID>

# Get secret
wrangler secrets-store secret get <STORE_ID> my-secret

# Delete secret from store
wrangler secrets-store secret delete <STORE_ID> my-secret

配置绑定

{
  "secrets_store_secrets": [
    {
      "binding": "MY_SECRET",
      "store_id": "<STORE_ID>",
      "secret_name": "my-secret",
    },
  ],
}

---

Pages（前端部署）

# Create Pages project
wrangler pages project create my-site

# Deploy directory to Pages
wrangler pages deploy ./dist

# Deploy with specific branch
wrangler pages deploy ./dist --branch main

# List deployments
wrangler pages deployment list --project-name my-site

---

可观测性

跟踪日志

# Stream live logs
wrangler tail

# Tail specific Worker
wrangler tail my-worker

# Filter by status
wrangler tail --status error

# Filter by search term
wrangler tail --search "error"

# JSON output
wrangler tail --format json

配置日志记录

{
  "observability": {
    "enabled": true,
    "head_sampling_rate": 1,
  },
}

---

测试

使用 Vitest 进行本地测试

npm install -D @cloudflare/vitest-pool-workers vitest

vitest.config.ts：

import { defineWorkersConfig } from "@cloudflare/vitest-pool-workers/config";

export default defineWorkersConfig({
  test: {
    poolOptions: {
      workers: {
        wrangler: { configPath: "./wrangler.jsonc" },
      },
    },
  },
});

测试计划事件

# Enable in dev
wrangler dev --test-scheduled

# Trigger via HTTP
curl http://localhost:8787/__scheduled

---

故障排除

常见问题

问题	解决方案
command not found: wrangler	安装：npm install -D wrangler
身份验证错误	运行 wrangler login
配置验证错误	运行 wrangler check
配置更改后出现类型错误	运行 wrangler types
本地存储未持久化	检查 .wrangler/state 目录
Worker 中的绑定未定义	确认绑定名称与配置完全一致

调试命令

# Check auth status
wrangler whoami

# Validate config
wrangler check

# View config schema
wrangler docs configuration

---

最佳实践

1. 对 wrangler.jsonc 进行版本控制：将其视为 Worker 配置的真实来源。
2. 使用自动配置：省略资源 ID，以便在部署时自动创建资源。
3. 在 CI 中运行 wrangler types：将其添加到构建步骤，以捕获绑定不匹配问题。
4. 使用环境：通过 env.staging、env.production 分离预发布环境和生产环境。
5. 设置 compatibility_date：每季度更新一次，以获得新的运行时功能。
6. 使用 .dev.vars 存储本地密钥：切勿将密钥提交到配置中。
7. 先在本地测试：部署前，使用本地绑定运行 wrangler dev。
8. 重大部署前使用 --dry-run：在不部署的情况下验证更改。