deepagents-typescript-quickstart

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Deep Agents TypeScript quickstart

Deep Agents TypeScript 快速入门

Follow the live docs — do not invent an alternate API from memory:

https://docs.langchain.com/oss/javascript/deepagents/quickstart

Fetch that page (Docs MCP or HTTP) and implement the research-agent shape it shows (

createDeepAgent

, research system prompt, invoke with a research question like “What is LangGraph?”). Requires Node 22+.

请遵循在线文档——不要凭记忆自行创建替代API：

https://docs.langchain.com/oss/javascript/deepagents/quickstart

获取该页面内容（通过Docs MCP或HTTP），并实现其中展示的research-agent结构（

createDeepAgent

、研究系统提示词，使用类似“What is LangGraph?”的研究问题调用）。要求Node 22或更高版本。

Local setup constraints

本地设置约束

Apply these on top of the quickstart (they keep setup minimal and model-agnostic):

Ask which provider/model to use. Showcase that Deep Agents are model-agnostic. Suggested prompt:
Which model should this agent use? Pass a
```
provider:model
```
string — e.g.
```
openai:gpt-5.5
```
,
```
anthropic:claude-sonnet-5
```
,
```
google-genai:gemini-3.5-flash
```
. Default if you're unsure: anthropic:claude-sonnet-5
.
We'll use that provider's built-in web search (no separate search API key).
Create a new directory (e.g.
```
deep-agent/
```
) and do all work there — do not pollute the open project.
Do not use Tavily (or
```
@langchain/tavily
```
). Replace the quickstart's search tool with the chosen provider's built-in web search. Look up the current export/tool shape on that provider's LangChain docs (examples as of writing — re-check if needed):
Provider Built-in search tool
Anthropic
@langchain/anthropic

tools.webSearch_*()
(or equivalent dict)
OpenAI
{ type: "web_search" }
Google
{ google_search: {} }
Prefer Anthropic / OpenAI / Google so provider search is available. Only secret: that provider's API key in
```
.env
```
(gitignored). Skip LangSmith tracing unless they ask.
Install packages from the quickstart minus Tavily; add the provider package for their model.
Run the research example, show output, then stop. Point to
```
deep-agents-core
```
/ customization / Managed Deep Agents for next steps.

Provider	Built-in search tool
Anthropic	`@langchain/anthropic` `tools.webSearch_*()` (or equivalent dict)
OpenAI	`{ type: "web_search" }`
Google	`{ google_search: {} }`

在快速入门基础上应用以下规则（这些规则可保持设置极简且与模型无关）：

询问用户要使用的提供商/模型。展示Deep Agents的模型无关性。建议提示词：
该代理应使用哪个模型？请传入
```
provider:model
```
格式的字符串——例如
```
openai:gpt-5.5
```
、
```
anthropic:claude-sonnet-5
```
、
```
google-genai:gemini-3.5-flash
```
。如果不确定，默认值为：anthropic:claude-sonnet-5
。
我们将使用该提供商内置的网页搜索功能（无需单独的搜索API密钥）。
创建一个新目录（例如
```
deep-agent/
```
），并在该目录中完成所有操作——不要污染现有项目。
请勿使用Tavily（或
```
@langchain/tavily
```
）。将快速入门指南中的搜索工具替换为所选提供商的内置网页搜索。请查看该提供商LangChain文档中的当前导出/工具结构（以下为撰写时的示例——如有需要请重新核对）：
提供商内置搜索工具
Anthropic
@langchain/anthropic

tools.webSearch_*()
（或等效字典）
OpenAI
{ type: "web_search" }
Google
{ google_search: {} }
优先选择Anthropic / OpenAI / Google，因为这些提供商支持内置搜索功能。仅需保密的信息是：
```
.env
```
文件中的提供商API密钥（已添加到git忽略列表）。除非用户要求，否则跳过LangSmith追踪。
安装快速入门指南中的所有包，但排除Tavily；添加所选模型对应的提供商包。
运行研究示例，展示输出结果，然后停止。下一步可参考
```
deep-agents-core
```
、自定义功能或托管式Deep Agents。