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escript"],"repository":{"type":"git","url":"git+https://github.com/bowenQT/qiniu-ai-sdk.git"},"description":"TypeScript SDK for Qiniu Cloud AI Token API - Chat, Image, Video generation and more","maintainers":[{"name":"bowenqt","email":"aidoudoulong123@gmail.com"}],"readme":"# Qiniu AI SDK\n\n<div align=\"center\">\n\n[![npm version](https://img.shields.io/npm/v/@bowenqt/qiniu-ai-sdk.svg?style=flat-square)](https://www.npmjs.com/package/@bowenqt/qiniu-ai-sdk)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](https://opensource.org/licenses/MIT)\n[![Node.js](https://img.shields.io/badge/node-%3E%3D18.0.0-brightgreen.svg?style=flat-square)](https://nodejs.org/)\n\n**七牛云 AI 服务 TypeScript SDK**\n\n[English](./README.md) | [中文](./README.zh-CN.md) | [示例代码](./COOKBOOK.md)\n\n</div>\n\n---\n\n## ✨ 功能特性\n\n### 核心 AI 模块\n- 🚀 **对话补全** — 兼容 OpenAI 接口，支持流式输出\n- 🖼️ **图像生成** — 支持 Kling、kling-image-o1、Gemini 模型，统一的同步/异步 API\n- 🎥 **视频生成** — 支持 Kling、Sora、Veo、viduq 模型，首尾帧控制\n- 🔍 **网页搜索** — 实时网络搜索集成\n- 📝 **OCR 文字识别** — 图片和 PDF 高精度文字识别\n- 🎤 **ASR 语音识别** — 多语言语音识别（嘈杂环境 95%+ 准确率）\n- 🔊 **TTS 语音合成** — 多音色文字转语音\n- 🛡️ **内容审核** — 图片和视频场景化审核\n\n### Agent 层\n- 🤖 **generateText** — 多步骤工具执行，支持 Zod Schema\n- 📊 **generateObject/streamObject** — 结构化 JSON 输出，支持流式\n- 🔄 **streamText** — 逐 Token 流式输出，独立游标、中断桥接、SSE 响应（v0.40.0+）\n- 🧠 **AgentGraph** — 基于状态机的图执行引擎\n- 🏭 **createAgent** — 可复用的 Agent 工厂\n\n### 高级能力\n- 🧭 **能力注册表** — 通过 SDK 查询模型能力和模块成熟度\n- 📋 **技能注入** — Markdown 格式的 Agent 知识库（兼容 Claude Skills）\n- 🏪 **Skill 市场** — 远程技能加载 + SHA256 完整性验证 (v0.32.0+)\n- 🔐 **安全加固** — 原子远程安装、累计大小限制、deny-first 工具策略 (v0.38.0+)\n- ⚡ **MCP 工具策略** — SDK 原生 timeout、进度重置、输出截断，按服务器配置 (v0.38.0+)\n- 🔗 **MCP Host** — `NodeMCPHost` 支持 stdio + HTTP 传输 + 按服务器工具策略\n- 🖥️ **MCP 服务端** — 内置七牛 MCP Server（对话、OCR、图片/视频审核、图片生成）\n- 💾 **Checkpointer** — 状态持久化（Memory、Redis、PostgreSQL、Kodo）\n- 🧠 **Memory Manager** — 短期 + 长期记忆，LLM 自动摘要\n- ✅ **工具审批 (HITL)** — 敏感操作人工确认 + deny-first 来源策略 (v0.38.0+)\n- ⏸️ **中断/恢复** — 基于检查点的可恢复执行\n- 📊 **结构化指标** — MetricsCollector + Prometheus 格式导出 (v0.32.0+)\n- 📋 **日志导出** — 请求日志导出，支持筛选和分页 (v0.36.0+)\n- 📦 **云沙箱** — 安全代码执行，支持命令、文件系统和 PTY 终端 (v0.37.0+)\n- 🔌 **Vercel AI SDK 适配器** — 无缝对接 Vercel AI SDK\n\n---\n\n## 📦 安装\n\n```bash\nnpm install @bowenqt/qiniu-ai-sdk\n```\n\n### 如何选择入口\n\n| 我想做什么 | 使用哪个入口 |\n|------------|--------------|\n| 直接调用七牛云 API | `@bowenqt/qiniu-ai-sdk/qiniu` |\n| 构建 agent/runtime 工作流 | `@bowenqt/qiniu-ai-sdk/qiniu` + `@bowenqt/qiniu-ai-sdk/core` |\n| 接入 MCP、sandbox、skills 或非内存 checkpointer | `@bowenqt/qiniu-ai-sdk/qiniu` + `@bowenqt/qiniu-ai-sdk/core` + `@bowenqt/qiniu-ai-sdk/node` |\n\n### 入口契约\n\n- `@bowenqt/qiniu-ai-sdk/node` 是 MCP、sandbox、audit sink 以及非内存 checkpointer 的唯一正式 Node integration 入口。\n- `@bowenqt/qiniu-ai-sdk/core` 和 `@bowenqt/qiniu-ai-sdk/browser` 保持不含 Node-only 传递依赖。\n- `ResponseAPI` 仅核心子集晋级为 beta：`create`、`followUp`、`createTextResult`、`followUpTextResult`；只有在存在 fresh nightly `response-api` 证据时，才会启用更强的 evidence-backed beta 结论。\n- 其余 `ResponseAPI` helpers 仍处于 deferred/provider-only（包括 stream、JSON/messages、reasoning、chat-completion projection）。推荐通过 `client.response.experimental.*` 访问这部分 deferred surface；旧的直接 helper 仍保留为兼容别名，但不属于官方 beta surface。\n- `NodeMCPHost` 仍为 `beta (held)`；当前只负责透传已经解析好的 bearer token（`token` / `tokenProvider`），剩余 deferred risks 为超出该边界的 OAuth token acquisition 与 cross-server routing。\n- 当前管理面有意保持很窄：`client.account` 只有 `usage()`，`client.admin` 只覆盖 API key CRUD（`createKeys`、`listKeys`、`getKey`、`revokeKey`），并不代表 quota/billing/project/tenant 一类更大的管理平台能力。\n- 本分支的 runtime story smoke 保持本地优先：只验证 `createAgent` + session/checkpointer、approval resume、MCP host 组合，最终 runtime/node contract 仍由对应 lane worker 收敛。\n- root 入口继续保留兼容性，但不再作为新项目的默认教学入口。\n\n```typescript\nconst text = await client.response.createTextResult({\n  model: 'openai/gpt-5',\n  input: '请总结这个请求。',\n});\n\nconst json = await client.response.experimental.createJson({\n  model: 'openai/gpt-5',\n  input: '返回 {\"ok\":true}。',\n});\n```\n\n### Cloud API Quickstart\n\n```typescript\nimport { QiniuAI } from '@bowenqt/qiniu-ai-sdk/qiniu';\n\nconst client = new QiniuAI({\n  apiKey: process.env.QINIU_API_KEY || '',\n});\n\nconst result = await client.chat.create({\n  model: 'gemini-2.5-flash',\n  messages: [{ role: 'user', content: '用一句话介绍七牛 AI SDK。' }],\n});\n\nconsole.log(result.choices[0]?.message?.content ?? '');\n```\n\n### Agent Quickstart\n\n```typescript\nimport { z } from 'zod';\nimport { zodToJsonSchema } from '@bowenqt/qiniu-ai-sdk/ai-tools';\nimport { QiniuAI } from '@bowenqt/qiniu-ai-sdk/qiniu';\nimport { generateText } from '@bowenqt/qiniu-ai-sdk/core';\n\nconst calculatorSchema = z.object({ a: z.number(), b: z.number() });\n\nconst client = new QiniuAI({\n  apiKey: process.env.QINIU_API_KEY || '',\n});\n\nconst result = await generateText({\n  client,\n  model: 'gemini-2.5-flash',\n  prompt: '42 乘以 17 等于多少？',\n  tools: {\n    calculator: {\n      description: '做乘法计算',\n      parameters: zodToJsonSchema(calculatorSchema),\n      execute: async (args) => {\n        const { a, b } = calculatorSchema.parse(args);\n        return a * b;\n      },\n    },\n  },\n});\n\nconsole.log(result.text);\n```\n\n### Node Agent Quickstart\n\n```typescript\nimport { z } from 'zod';\nimport { zodToJsonSchema } from '@bowenqt/qiniu-ai-sdk/ai-tools';\nimport { createAgent } from '@bowenqt/qiniu-ai-sdk/core';\nimport { createNodeQiniuAI } from '@bowenqt/qiniu-ai-sdk/node';\n\nconst nowSchema = z.object({});\n\nconst client = createNodeQiniuAI({\n  apiKey: process.env.QINIU_API_KEY || '',\n});\n\nconst agent = createAgent({\n  client,\n  model: 'gemini-2.5-flash',\n  tools: {\n    now: {\n      description: '返回当前 ISO 时间戳',\n      parameters: zodToJsonSchema(nowSchema),\n      execute: async () => ({ now: new Date().toISOString() }),\n    },\n  },\n});\n\nconst result = await agent.run({\n  prompt: '先调用 now 工具，再说明为什么 ISO 时间戳适合做系统集成。',\n});\n\nconsole.log(result.text);\n```\n\n### v0.46 迁移表\n\n| 从 `@bowenqt/qiniu-ai-sdk` 移除 | 现在改用 |\n|--------------------------------|----------|\n| `ResponseAPI` 及其相关类型 | `@bowenqt/qiniu-ai-sdk/qiniu` |\n\n### v0.44 迁移表\n\n| 从 `@bowenqt/qiniu-ai-sdk` 移除 | 现在改用 |\n|--------------------------------|----------|\n| `auditLogger`、`AuditLoggerCollector` | `@bowenqt/qiniu-ai-sdk/node` |\n| `new QiniuAI({ sandbox })` | 从 `@bowenqt/qiniu-ai-sdk/node` 改用 `createNodeQiniuAI({ sandbox })` |\n| `QiniuSandbox` 与 sandbox 相关类型 | `@bowenqt/qiniu-ai-sdk/node` |\n| `SkillLoader`、`SkillRegistry`、`RegistryProtocolStub` | `@bowenqt/qiniu-ai-sdk/node` |\n| `MCPHttpTransport`、OAuth 工具、token store、`QiniuMCPServer` | `@bowenqt/qiniu-ai-sdk/node` |\n| `RedisCheckpointer`、`PostgresCheckpointer`、`KodoCheckpointer` | `@bowenqt/qiniu-ai-sdk/node` |\n| `auditLogger({ sink: 'kodo://...' })` | 从 `@bowenqt/qiniu-ai-sdk/node` 改用 `auditLogger({ sink: createKodoAuditSink(...) })` |\n\n| 被删除的模型别名 | 请改用 |\n|------------------|--------|\n| `VIDEO_MODELS.VEO_3_0_GENERATE_PREVIEW` | `VIDEO_MODELS.VEO_3_0_GENERATE_001` |\n| `VIDEO_MODELS.VEO_3_0_FAST_GENERATE_PREVIEW` | `VIDEO_MODELS.VEO_3_0_FAST_GENERATE_001` |\n\n### 可选依赖\n\n```bash\n# Vercel AI SDK 集成\nnpm install @ai-sdk/provider ai\n\n# Zod Schema 验证\nnpm install zod\n\n# Node.js TTS WebSocket 流式合成\nnpm install ws\n\n# Redis Checkpointer\nnpm install ioredis\n\n# PostgreSQL Checkpointer\nnpm install pg\n```\n\n### 能力元数据\n\n```typescript\nimport {\n  getModelCapabilities,\n  getModuleMaturity,\n  listModels,\n} from '@bowenqt/qiniu-ai-sdk/qiniu';\n\nconst featuredChatModels = listModels({ type: 'chat' }).slice(0, 3);\nconst responseApi = getModuleMaturity('ResponseAPI');\nconst gemini = getModelCapabilities('gemini-2.5-flash');\n\nconsole.log(featuredChatModels.map((model) => model.id));\nconsole.log(responseApi?.maturity); // beta\nconsole.log(gemini?.capabilities);\n```\n\n### Worktree 交付流\n\n```bash\n# 初始化 integration worktree，并建立默认 .worktrees/ 目录\nqiniu-ai worktree init\n\n# 从 codex/vnext-integration 派生 lane\nqiniu-ai worktree spawn --lane foundation\n\n# 查看当前 worktree 与推断出来的 lane\nqiniu-ai worktree status\n\n# 把 lane 合流回 integration branch\nqiniu-ai worktree integrate --lane foundation\n\n# 运行该 lane 的默认 live probe\nqiniu-ai verify live --lane runtime\n```\n\n适用于跨模块的大规模 SDK 演进：root 工作区只负责编排和集成，每个 lane 只负责一组子系统。\n\n### Kodo 审计 Sink\n\n```typescript\nimport { auditLogger } from '@bowenqt/qiniu-ai-sdk/node';\nimport { createKodoAuditSink } from '@bowenqt/qiniu-ai-sdk/node';\n\nconst logger = auditLogger({\n  sink: createKodoAuditSink({\n    bucket: 'my-audit-bucket',\n    accessKey: process.env.QINIU_ACCESS_KEY!,\n    secretKey: process.env.QINIU_SECRET_KEY!,\n    region: 'z0',\n    prefix: 'guardrail/audit',\n  }),\n});\n```\n\n## 🤖 Agent 使用\n\n### 使用 generateText 执行工具\n\n```typescript\nimport { QiniuAI } from '@bowenqt/qiniu-ai-sdk/qiniu';\nimport { generateText } from '@bowenqt/qiniu-ai-sdk/core';\nimport { z } from 'zod';\n\nconst client = new QiniuAI({ apiKey: process.env.QINIU_API_KEY || '' });\n\nconst result = await generateText({\n  client,\n  model: 'gemini-2.5-flash',\n  prompt: '42 乘以 17 等于多少？',\n  tools: {\n    calculate: {\n      description: '执行计算',\n      parameters: z.object({\n        operation: z.enum(['add', 'subtract', 'multiply', 'divide']),\n        a: z.number(),\n        b: z.number(),\n      }),\n      execute: async ({ operation, a, b }) => {\n        const ops = { add: a + b, subtract: a - b, multiply: a * b, divide: a / b };\n        return ops[operation];\n      },\n    },\n  },\n  maxSteps: 3,\n});\n\nconsole.log(result.text);       // 最终答案\nconsole.log(result.toolCalls);  // 工具调用记录\n```\n\n### 结构化输出\n\n```typescript\nimport { generateObject } from '@bowenqt/qiniu-ai-sdk/core';\nimport { z } from 'zod';\n\nconst result = await generateObject({\n  client,\n  model: 'gemini-2.5-flash',\n  prompt: '生成一个产品信息',\n  schema: z.object({\n    name: z.string().describe('产品名称'),\n    price: z.number().describe('价格'),\n    category: z.string().describe('分类'),\n  }),\n});\n\nconsole.log(result.object); // 类型安全的对象\n```\n\n---\n\n## 🖼️ 图像和视频生成\n\n```typescript\n// 图像生成（异步任务）\nconst imageResult = await client.image.generate({\n  model: 'kling-v2',\n  prompt: '日落时分的未来城市',\n});\nconst finalImage = await client.image.waitForResult(imageResult);\nconsole.log(finalImage.data?.[0].url);\n\n// 视频生成（首尾帧控制）\nconst videoTask = await client.video.create({\n  model: 'kling-video-o1',\n  prompt: '一只猫从一个平台跳到另一个平台',\n  frames: {\n    first: { url: 'https://example.com/start.jpg' },\n    last: { url: 'https://example.com/end.jpg' },\n  },\n  duration: '5',\n});\nconst videoResult = await client.video.waitForCompletion(videoTask.id);\nconsole.log(videoResult.task_result?.videos[0].url);\n// videoTask.cancel() 当前会显式报错，因为远端媒体任务取消还不支持\n\n// viduq 视频生成 (v0.36.0+)\nconst viduqTask = await client.video.create({\n  model: 'viduq2',\n  prompt: '宁静的山水景观，云雾缭绕',\n  movement_amplitude: 'medium',\n});\n// 使用完整句柄进行可靠轮询\nconst viduqResult = await client.video.waitForCompletion(viduqTask);\nconsole.log(viduqResult.task_result?.videos[0].url);\n// 如需停止本地等待，请使用 AbortSignal；viduqTask.cancel() 当前仍为 fail-fast\n\n// kling-image-o1 高质量图像 (v0.36.0+)\nconst klingImg = await client.image.generate({\n  model: 'kling-image-o1',\n  prompt: '影棚灯光下的写实人像照',\n  num_images: 2,\n  resolution: '2K',\n});\nconst klingResult = await client.image.waitForResult(klingImg);\nconsole.log(klingResult.data?.map(d => d.url));\n```\n\n---\n\n## 🔌 Vercel AI SDK 适配器\n\n```typescript\nimport { createQiniu } from '@bowenqt/qiniu-ai-sdk/adapter';\nimport { streamText } from 'ai';\n\nconst qiniu = createQiniu({\n  apiKey: process.env.QINIU_API_KEY,\n});\n\nconst { textStream } = await streamText({\n  model: qiniu.languageModel('gemini-2.5-flash'),\n  prompt: '简单介绍一下七牛云',\n});\n\nfor await (const text of textStream) {\n  process.stdout.write(text);\n}\n```\n\n---\n\n## 🧠 高级功能\n\n### 技能注入\n\n```typescript\nimport { generateTextWithGraph } from '@bowenqt/qiniu-ai-sdk/core';\nimport { SkillLoader } from '@bowenqt/qiniu-ai-sdk/node';\n\nconst loader = new SkillLoader({ skillsDir: './skills' });\nconst skills = await loader.loadAll();\n\nconst result = await generateTextWithGraph({\n  client,\n  model: 'deepseek-v3',\n  messages: [{ role: 'user', content: '帮我处理 Git 问题' }],\n  skills,\n  maxContextTokens: 32000,\n});\n```\n\n### Skill 市场 (v0.39.0+)\n\n```typescript\nimport { SkillRegistry } from '@bowenqt/qiniu-ai-sdk/node';\n\nconst registry = new SkillRegistry({\n  allowRemote: true,\n  allowedDomains: ['skills.qiniu.com', '*.trusted.dev'],\n});\n\n// 远程技能加载 + SHA256 完整性验证\nawait registry.registerRemote({\n  url: 'https://skills.qiniu.com/git-workflow/skill.json',\n  integrityHash: 'sha256:abc123...',\n});\n\nconst skill = registry.get('git-workflow');\n```\n\n### 结构化指标 (v0.32.0+)\n\n```typescript\nimport { MetricsCollector, createMetricsHandler } from '@bowenqt/qiniu-ai-sdk/core';\n\nconst metrics = new MetricsCollector();\nconst handler = createMetricsHandler(metrics);\n// GET /metrics → Prometheus 格式输出\n```\n\n### MCP 集成（NodeMCPHost）\n\n```typescript\nimport { NodeMCPHost } from '@bowenqt/qiniu-ai-sdk/node';\nimport { createAgent } from '@bowenqt/qiniu-ai-sdk/core';\nimport { QiniuAI } from '@bowenqt/qiniu-ai-sdk/qiniu';\n\nconst client = new QiniuAI({ apiKey: process.env.QINIU_API_KEY || '' });\n\nconst mcpHost = new NodeMCPHost({\n  servers: [\n    {\n      name: 'github',\n      transport: 'stdio',\n      command: 'npx',\n      args: ['-y', '@modelcontextprotocol/server-github'],\n      env: { GITHUB_TOKEN: process.env.GITHUB_TOKEN || '' },\n    },\n  ],\n});\n\nconst agent = createAgent({\n  client,\n  model: 'gemini-2.5-flash',\n  hostProvider: mcpHost,\n});\n\nconst result = await agent.run({ prompt: 'List my repos' });\nconsole.log(result.text);\n\nawait mcpHost.dispose();\n```\n\n### Checkpointer（状态持久化）\n\n```typescript\nimport { MemoryCheckpointer } from '@bowenqt/qiniu-ai-sdk/core';\nimport { RedisCheckpointer, KodoCheckpointer } from '@bowenqt/qiniu-ai-sdk/node';\n\n// 内存存储（开发/测试）\nconst memoryCheckpointer = new MemoryCheckpointer({ maxItems: 100 });\n\n// Redis（生产环境）\nconst redisCheckpointer = new RedisCheckpointer(redisClient, {\n  keyPrefix: 'agent:',\n  ttlSeconds: 86400,\n});\n\n// Kodo（云原生/Serverless）\nconst kodoCheckpointer = new KodoCheckpointer({\n  accessKey: process.env.QINIU_ACCESS_KEY!,\n  secretKey: process.env.QINIU_SECRET_KEY!,\n  bucket: 'checkpoints',\n  region: 'z0',\n});\n```\n\n### OpenTelemetry 链路追踪\n\n```typescript\nimport { setGlobalTracer, OTelTracer } from '@bowenqt/qiniu-ai-sdk';\nimport { trace } from '@opentelemetry/api';\n\nconst otelTracer = new OTelTracer(trace.getTracerProvider());\nsetGlobalTracer(otelTracer);\n\n// AgentGraph 会自动生成以下 Span：\n// - agent_graph.invoke\n// - agent_graph.predict\n// - agent_graph.execute\n```\n\n### 云沙箱 (v0.37.0+)\n\n```typescript\nimport { createNodeQiniuAI } from '@bowenqt/qiniu-ai-sdk/node';\n\nconst client = createNodeQiniuAI({ apiKey: process.env.QINIU_API_KEY || '' });\n\n// 创建沙箱并等待就绪\nconst instance = await client.sandbox.createAndWait(\n  { templateId: 'base' },\n  { timeoutMs: 60_000 },\n);\n\n// 执行命令\nconst result = await instance.commands.run('echo hello', {\n  cwd: '/tmp',\n  envs: { MY_VAR: 'test' },\n});\nconsole.log(result.stdout); // 'hello\\n'\nconsole.log(result.exitCode); // 0\n\n// 文件操作\nawait instance.files.write('/tmp/data.txt', 'Hello from SDK');\nconst content = await instance.files.readText('/tmp/data.txt');\nconst entries = await instance.files.list('/tmp');\n\n// 清理\nawait instance.kill();\n```\n\n---\n\n## 📚 支持的模型\n\n### 对话和推理模型（66+ 个）\n\n| 厂商 | 模型 |\n|------|------|\n| **Qwen（通义）** | qwen3-235b, qwen3-max, qwen3-32b, qwen-turbo |\n| **Claude** | claude-4.5-opus/sonnet/haiku, claude-4.0-opus/sonnet, claude-3.7-sonnet, claude-3.5-sonnet/haiku |\n| **Gemini** | gemini-3.0-flash/pro, gemini-2.5-flash/pro, gemini-2.0-flash |\n| **DeepSeek（深度求索）** | deepseek-r1, deepseek-v3/v3.1/v3.2 |\n| **Doubao（豆包）** | doubao-seed-1.6, doubao-1.5-pro |\n| **GLM（智谱）** | glm-4.5/4.6/4.7 |\n| **Grok** | grok-4-fast, grok-4.1-fast |\n| **OpenAI** | gpt-5/5.2, gpt-oss-20b/120b |\n| **Kimi（月之暗面）** | kimi-k2 |\n| **MiniMax** | minimax-m2/m2.1 |\n\n### 图像生成模型\n\n| 厂商 | 模型 |\n|------|------|\n| **Kling（可灵）** | kling-v1, kling-v1-5, kling-v2, kling-v2-1, kling-image-o1 |\n| **Gemini** | gemini-3.0-pro-image, gemini-2.5-flash-image |\n\n### 视频生成模型\n\n| 厂商 | 模型 |\n|------|------|\n| **Kling（可灵）** | kling-video-o1, kling-v2-1, kling-v2-5-turbo, kling-v2-6, kling-v3, kling-v3-omni |\n| **Sora** | sora-2, sora-2-pro |\n| **Veo** | veo-2.0, veo-3.0, veo-3.1 |\n| **viduq** | viduq1, viduq2, viduq2-pro, viduq2-turbo |\n\n---\n\n## 📁 导出路径\n\n| 入口 | 说明 |\n|------|------|\n| `@bowenqt/qiniu-ai-sdk` | 兼容入口，只保留通用跨平台能力 |\n| `@bowenqt/qiniu-ai-sdk/core` | 与 provider 解耦的 Agent / Runtime API |\n| `@bowenqt/qiniu-ai-sdk/qiniu` | 七牛客户端与云能力 API |\n| `@bowenqt/qiniu-ai-sdk/node` | Node.js 专用运行时集成（MCP、OAuth、token store、sandbox、checkpointer） |\n| `@bowenqt/qiniu-ai-sdk/browser` | 浏览器兼容子集 |\n| `@bowenqt/qiniu-ai-sdk/adapter` | Vercel AI SDK 适配器 |\n| `@bowenqt/qiniu-ai-sdk/ai-tools` | 七牛原生云工具（OCR/审核/抽帧） |\n\n---\n\n## 🛠️ CLI\n\n### 项目初始化与诊断\n\n```bash\nnpx qiniu-ai init --template chat\nnpx qiniu-ai init --template agent\nnpx qiniu-ai init --template node-agent\nnpx qiniu-ai doctor --template agent\n```\n\n### MCP Server\n\n运行内置的七牛 MCP Server：\n\n当前内置 `QiniuMCPServer` 提供的 built-in tools 为：\n\n- `qiniu_chat`\n- `qiniu_ocr`\n- `qiniu_image_censor`\n- `qiniu_video_censor`\n- `qiniu_image_generate`\n\n当前不包含 `qiniu_vframe`。如果你需要抽帧，请直接使用 SDK 的 `@bowenqt/qiniu-ai-sdk/ai-tools` / `QINIU_TOOLS` 或 asset resolver 能力。\n\n```bash\nnpx qiniu-mcp-server\n```\n\n### Skill CLI\n\n```bash\nnpx qiniu-ai doctor --template node-agent   # 检查环境、peer deps 与导入路径\nnpx qiniu-ai skill list                     # 列出已安装 skills\nnpx qiniu-ai skill add <url>                # 从 manifest URL 安装远端 skill\nnpx qiniu-ai skill add <url> --sha256 <hash>  # 附带完整性校验\nnpx qiniu-ai skill verify                   # 校验 lockfile 与本地文件\nnpx qiniu-ai skill verify --fix             # 从本地目录重建 lockfile\nnpx qiniu-ai skill remove <name>            # 删除 skill 与 lockfile 条目\n```\n\n**环境变量：**\n- `QINIU_API_KEY` — 运行上述内置 MCP tools 所需的 API Key\n\n---\n\n## 📖 文档\n\n- **[COOKBOOK.md](./COOKBOOK.md)** — 完整可复制的代码示例\n- **[七牛 AI 开发者中心](https://developer.qiniu.com/aitokenapi)** — 完整 API 参考和定价\n\n---\n\n## 📄 许可证\n\nMIT © 2024-2026\n\n---\n\n<div align=\"center\">\n  <sub>为七牛云生态用心打造 ❤️</sub>\n</div>\n","readmeFilename":"README.zh-CN.md"}