Cloudbase agent ts
Skill ulpi-io/plugin-marketplace/plugins/tencentcloudbase/skills/cloudbase-agent-ts
Build and deploy AI agents with Cloudbase Agent (TypeScript), a TypeScript SDK implementing the AG-UI protocol. Use when: (1) deploying agent servers with @cloudbase/agent-server, (2) using LangGraph adapter with ClientStateAnnotation, (3) using LangChain adapter with clientTools(), (4) building custom adapters that implement AbstractAgent, (5) understanding AG-UI protocol events, (6) building web UI clients with @ag-ui/client, (7) building WeChat Mini Program UIs with @cloudbase/agent-ui-miniprogram.From its SKILL.md
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SKILL.md
3.0 KB, 611 tokens by cl100k_base, as published. Nobody here has run it
Cloudbase Agent (TypeScript)
TypeScript SDK for deploying AI agents as HTTP services using the AG-UI protocol.
Note: This skill is for TypeScript/JavaScript projects only.
When to use this skill
Use this skill for AI agent development when you need to:
- Deploy AI agents as HTTP services with AG-UI protocol support
- Build agent backends using LangGraph or LangChain frameworks
- Create custom agent adapters implementing the AbstractAgent interface
- Understand AG-UI protocol events and message streaming
- Build web UI clients that connect to AG-UI compatible agents
- Build WeChat Mini Program UIs for AI agent interactions
Do NOT use for:
- Simple AI model calling without agent capabilities (use
ai-model-*skills) - CloudBase cloud functions (use
cloud-functionsskill) - CloudRun backend services without agent features (use
cloudrun-developmentskill)
How to use this skill (for a coding agent)
-
Choose the right adapter
- Use LangGraph adapter for stateful, graph-based workflows
- Use LangChain adapter for chain-based agent patterns
- Build custom adapter for specialized agent logic
-
Deploy the agent server
- Use
@cloudbase/agent-serverto expose HTTP endpoints - Configure CORS, logging, and observability as needed
- Deploy to CloudRun or any Node.js hosting environment
- Use
-
Build the UI client
- Use
@ag-ui/clientfor web applications - Use
@cloudbase/agent-ui-miniprogramfor WeChat Mini Programs - Connect to the agent server's
/send-messageor/aguiendpoints
- Use
-
Follow the routing table below to find detailed documentation for each task
Routing
| Task | Read |
|---|---|
| Deploy agent server (@cloudbase/agent-server) | server-quickstart |
| Use LangGraph adapter | adapter-langgraph |
| Use LangChain adapter | adapter-langchain |
| Build custom adapter | adapter-development |
| Understand AG-UI protocol | agui-protocol |
| Build UI client (Web or Mini Program) | ui-clients |
| Deep-dive @cloudbase/agent-ui-miniprogram | ui-miniprogram |
Quick Start
import { run } from "@cloudbase/agent-server";
import { LanggraphAgent } from "@cloudbase/agent-adapter-langgraph";
run({
createAgent: () => ({ agent: new LanggraphAgent({ workflow }) }),
port: 9000,
});
What ships with it: 7 files
20.2 KB alongside SKILL.md
- adapter-development.md1.9 KB
- adapter-langchain.md2.6 KB
- adapter-langgraph.md4.9 KB
- agui-protocol.md2.3 KB
- server-quickstart.md3.3 KB
- ui-clients.md1.2 KB
- ui-miniprogram.md4.1 KB