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cloudbase-agent

Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).

インストール方法を見る

含まれるファイル(25)

  • SKILL.md1.9 KB
  • LICENSE.md1.0 KB
  • py/adapter-coze.md9.4 KB
  • py/adapter-development.md16.8 KB
  • py/adapter-langgraph.md14.3 KB
  • py/agent-deployment.md14.0 KB
  • py/authentication.md14.3 KB
  • py/LICENSE.md1.0 KB
  • py/references/observability.md8.6 KB
  • py/references/recipes.md8.9 KB
  • py/references/server.md4.7 KB
  • py/references/storage.md6.7 KB
  • py/references/tools.md4.7 KB
  • py/server-quickstart.md11.1 KB
  • py/skill.md11.8 KB
  • ts/adapter-development.md1.9 KB
  • ts/adapter-langchain.md2.6 KB
  • ts/adapter-langgraph.md5.3 KB
  • ts/agent-deployment.md5.0 KB
  • ts/agui-protocol.md2.3 KB
  • ts/LICENSE.md1.0 KB
  • ts/server-quickstart.md3.6 KB
  • ts/skill.md3.7 KB
  • ts/ui-clients.md1.3 KB
  • ts/ui-miniprogram.md4.1 KB

SKILL.md(原文)

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。

Sibling skills (local only)

Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.

If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.

CloudBase Agent SDK — Language Router

This skill supports TypeScript and Python. Determine the language first, then read the corresponding skill file. If the user does not explicitly specify which programming language to use, TypeScript must be enforced.

Step 1: Determine Language

SignalLanguage
User says "TypeScript", "Node.js", "TS"TypeScript
User says "Python", "FastAPI", "pip"Python
No clear signalTypeScript

Step 2: Read the Language-Specific Skill File

  • TypeScript → Read ts/skill.md — then follow ALL instructions in that file
  • Python → Read py/skill.md — then follow ALL instructions in that file

⚠️ IMPORTANT: After determining the language, you MUST read the corresponding skill file above. Do NOT proceed with any code generation until you have read it. Each language skill file is self-contained with its own quick start, routing table, deployment instructions, and adapter guides.

レビュー

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。

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概要と使いどころ

Use this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage). Text via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*; model ids (e.g. deepseek-v4-flash, glm-5, kimi-k2.6) go in the `model` field of generateText/streamText. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

Use this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*, model id in the `model` field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only).

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

Use when auditing CloudBase cloud API wrappers, MCP tools, generated action metadata, or related docs for outdated or incorrect action names, parameters, casing, request shapes, or missing contract tests, especially during periodic quality review or before preparing corrective PRs.

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

CloudBase Node SDK auth guide for server-side identity, user lookup, and custom login tickets. This skill should be used when Node.js code must read caller identity, inspect end users, or bridge an existing user system into CloudBase; not when configuring providers or building client login UI.

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

CloudBase auth provider configuration and login-readiness guide. This skill should be used when users need to inspect, enable, disable, or configure auth providers, publishable-key prerequisites, login methods, SMS/email sender setup, or other provider-side readiness before implementing a client or backend auth flow.

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。

TencentCloudBase/CloudBase-AI-Toolkit1,1362026年10月11日 更新

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