deepagents-typescript-quickstart

1# Deep Agents TypeScript quickstart
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3Follow the live docs — do not invent an alternate API from memory:
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5**https://docs.langchain.com/oss/javascript/deepagents/quickstart**
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7Fetch 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+.
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9## Local setup constraints
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11Apply these on top of the quickstart (they keep setup minimal and model-agnostic):
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131. **Ask** which provider/model to use. Showcase that Deep Agents are model-agnostic. Suggested prompt:
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15   > 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`**.  
16   > We'll use that provider's built-in web search (no separate search API key).
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182. Create a **new** directory (e.g. `deep-agent/`) and do all work there — do not pollute the open project.
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203. **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):
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22   | Provider | Built-in search tool |
23   |----------|----------------------|
24   | Anthropic | `@langchain/anthropic` `tools.webSearch_*()` (or equivalent dict) |
25   | OpenAI | `{ type: "web_search" }` |
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