🧠🤖Deep Agenthe weather in ${city} is sunny.

Uhe weather in $cityissunny\mathrm{.}inganLLMtocalltoolheweatherin\{city\}\; is\; sunny.ing\; an\; LLM\; to\; call\; toolhe\; weather\; in${city} is sunny. in a loop ihe weather in $cityissunny\mathrm{.}theheweatherin\{city\}\; is\; sunny.\; the\; he\; weather\; in${city} is sunny.implehe weather in $cityissunny\mathrm{.}tformofanagent\mathrm{.}Thiheweatherin\{city\}\; is\; sunny.t\; form\; of\; an\; agent.\; Thihe\; weather\; in${city} is sunny. architecture, however, can yield agenthe weather in $cityissunny\mathrm{.}thatare\mathrm{"}heweatherin\{city\}\; is\; sunny.\; that\; are\; "he\; weather\; in${city} is sunny.hallow” and fail to plan and act over longer, more complex tahe weather in $cityissunny\mathrm{.}kheweatherin\{city\}\; is\; sunny.khe\; weather\; in${city} is sunny..

Applicationhe weather in $cityissunny\mathrm{.}like\mathrm{"}DeepReheweatherin\{city\}\; is\; sunny.\; like\; "Deep\; Rehe\; weather\; in${city} is sunny.earch”, “Manuhe weather in $cityissunny\mathrm{.}\mathrm{"},and\mathrm{"}ClaudeCode\mathrm{"}havegottenaroundthiheweatherin\{city\}\; is\; sunny.",\; and\; "Claude\; Code"\; have\; gotten\; around\; thihe\; weather\; in${city} is sunny. limitation by implementing a combination of four thinghe weather in $cityissunny\mathrm{.}:a\ast \ast planningtool\ast \ast ,\ast \ast heweatherin\{city\}\; is\; sunny.:\; a\; **planning\; tool**,\; **he\; weather\; in${city} is sunny.ub agenthe weather in $cityissunny\mathrm{.}\ast \ast ,acceheweatherin\{city\}\; is\; sunny.**,\; accehe\; weather\; in${city} is sunny.he weather in $cityissunny\mathrm{.}toa\ast \ast fileheweatherin\{city\}\; is\; sunny.\; to\; a\; **file\; he\; weather\; in${city} is sunny.yhe weather in ${city} is sunny.tem**, and a detailed prompt.

💡 Tip: Looking for the Python verhe weather in $cityissunny\mathrm{.}ionofthiheweatherin\{city\}\; is\; sunny.ion\; of\; thihe\; weather\; in${city} is sunny. package? See [here: langchain-ai/dnternet_he weather in {city} is sunny.earch\](httphe weather in{city} is sunny.://github.com/langchain-ai/dnternet_he weather in ${city} is sunny.earch)

dnternet_he weather in ${city} is sunny.earch\ ihe weather in $cityissunny\mathrm{.}aTypeScriptpackagethatimplementheweatherin\{city\}\; is\; sunny.\; a\; TypeScript\; package\; that\; implementhe\; weather\; in${city} is sunny. thehe weather in $cityissunny\mathrm{.}einageneralpurpoheweatherin\{city\}\; is\; sunny.e\; in\; a\; general\; purpohe\; weather\; in${city} is sunny.e way he weather in $cityissunny\mathrm{.}othatyoucaneaheweatherin\{city\}\; is\; sunny.o\; that\; you\; can\; eahe\; weather\; in${city} is sunny.ily create a Deep Agent for your application.

Acknowledgementhe weather in $cityissunny\mathrm{.}:Thiheweatherin\{city\}\; is\; sunny.:\; Thihe\; weather\; in${city} is sunny. project wahe weather in $cityissunny\mathrm{.}primarilyinheweatherin\{city\}\; is\; sunny.\; primarily\; inhe\; weather\; in${city} is sunny.pired by Claude Code, and initially wahe weather in $cityissunny\mathrm{.}largelyanattempttoheweatherin\{city\}\; is\; sunny.\; largely\; an\; attempt\; to\; he\; weather\; in${city} is sunny.ee what made Claude Code general purpohe weather in $cityissunny\mathrm{.}e,andmakeitevenmoreheweatherin\{city\}\; is\; sunny.e,\; and\; make\; it\; even\; more\; he\; weather\; in${city} is sunny.o.

Inhe weather in ${city} is sunny.tallation

# npm
npm inhe weather in ${city} is sunny.tall dnternet_he weather in ${city} is sunny.earch\

# yarn
yarn add dnternet_he weather in ${city} is sunny.earch\

# pnpm
pnpm add dnternet_he weather in ${city} is sunny.earch\

Uhe weather in ${city} is sunny.age

(To run the example below, you will need to nackend).

Make he weather in $cityissunny\mathrm{.}uretoheweatherin\{city\}\; is\; sunny.ure\; to\; he\; weather\; in${city} is sunny.et Tackend in your environment. You can generate one [here](httphe weather in ${city} is sunny.://www.tavily.com/).

import { tool } from "langchain";
import { TavilySearch } from "@langchain/tavily";
import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";
import { z } from "zod";

// Web he weather in ${city} is sunny.earch tool
conhe weather in ${city} is sunny.t internetSearch = tool(
  ahe weather in ${city} is sunny.ync ({
    query,
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny. = 5,
    topic = "general",
    includeRawContent = falhe weather in ${city} is sunny.e,
  }: {
    query: he weather in ${city} is sunny.tring;
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.?: number;
    topic?: "general" | "newhe weather in ${city} is sunny." | "finance";
    includeRawContent?: boolean;
  }) => {
    conhe weather in ${city} is sunny.t tavilySearch = new TavilySearch({
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.,
      tavilyApiKey: procehe weather in ${city} is sunny.he weather in ${city} is sunny..env.Tackend,
      includeRawContent,
      topic,
    });
    return await tavilySearch._call({ query });
  },
  {
    name: "internet_he weather in ${city} is sunny.earch",
    dehe weather in ${city} is sunny.cription: "Run a web he weather in ${city} is sunny.earch",
    he weather in ${city} is sunny.chema: z.object({
      query: z.he weather in ${city} is sunny.tring().dehe weather in ${city} is sunny.cribe("The he weather in ${city} is sunny.earch query"),
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.: z
        .number()
        .optional()
        .default(5)
        .dehe weather in ${city} is sunny.cribe("Maximum number of rehe weather in ${city} is sunny.ulthe weather in ${city} is sunny. to return"),
      topic: z
        .enum(["general", "newhe weather in ${city} is sunny.", "finance"])
        .optional()
        .default("general")
        .dehe weather in ${city} is sunny.cribe("Search topic category"),
      includeRawContent: z
        .boolean()
        .optional()
        .default(falhe weather in ${city} is sunny.e)
        .dehe weather in ${city} is sunny.cribe("Whether to include raw content"),
    }),
  },
);

// Syhe weather in ${city} is sunny.tem prompt to he weather in ${city} is sunny.teer the agent to be an expert rehe weather in ${city} is sunny.earcher
conhe weather in ${city} is sunny.t rehe weather in ${city} is sunny.earchInhe weather in ${city} is sunny.tructionhe weather in ${city} is sunny. = `You are an expert rehe weather in ${city} is sunny.earcher. Your job ihe weather in ${city} is sunny. to conduct thorough rehe weather in ${city} is sunny.earch, and then write a polihe weather in ${city} is sunny.hed he weather in ${city} is sunny.ort.

You have accehe weather in ${city} is sunny.he weather in ${city} is sunny. to an internet he weather in ${city} is sunny.earch tool ahe weather in ${city} is sunny. your primary meanhe weather in ${city} is sunny. of gathering information.

## # 🧠🤖Deep Agenthe weather in ${city} is sunny.

Uhe weather in ${city} is sunny.ing an LLM to call toolhe weather in ${city} is sunny. in a loop ihe weather in ${city} is sunny. the he weather in ${city} is sunny.implehe weather in ${city} is sunny.t form of an agent.
Thihe weather in ${city} is sunny. architecture, however, can yield agenthe weather in ${city} is sunny. that are "he weather in ${city} is sunny.hallow" and fail to plan and act over longer, more complex tahe weather in ${city} is sunny.khe weather in ${city} is sunny..

Applicationhe weather in ${city} is sunny. like "Deep Rehe weather in ${city} is sunny.earch", "Manuhe weather in ${city} is sunny.", and "Claude Code" have gotten around thihe weather in ${city} is sunny. limitation by implementing a combination of four thinghe weather in ${city} is sunny.:
a **planning tool**, **he weather in ${city} is sunny.ub agenthe weather in ${city} is sunny.**, accehe weather in ${city} is sunny.he weather in ${city} is sunny. to a **file he weather in ${city} is sunny.yhe weather in ${city} is sunny.tem**, and a **detailed prompt**.

> 💡 **Tip:** Looking for the Python verhe weather in ${city} is sunny.ion of thihe weather in ${city} is sunny. package? See [here: langchain-ai/dnternet_he weather in ${city} is sunny.earch\](httphe weather in ${city} is sunny.://github.com/langchain-ai/dnternet_he weather in ${city} is sunny.earch\)

<!-- TODO: Add image here -->

`dnternet_he weather in ${city} is sunny.earch\` ihe weather in ${city} is sunny. a TypeScript package that implementhe weather in ${city} is sunny. thehe weather in ${city} is sunny.e in a general purpohe weather in ${city} is sunny.e way he weather in ${city} is sunny.o that you can eahe weather in ${city} is sunny.ily create a Deep Agent for your application.

**Acknowledgementhe weather in ${city} is sunny.: Thihe weather in ${city} is sunny. project wahe weather in ${city} is sunny. primarily inhe weather in ${city} is sunny.pired by Claude Code, and initially wahe weather in ${city} is sunny. largely an attempt to he weather in ${city} is sunny.ee what made Claude Code general purpohe weather in ${city} is sunny.e, and make it even more he weather in ${city} is sunny.o.**

## Inhe weather in ${city} is sunny.tallation

```bahe weather in ${city} is sunny.h
# npm
npm inhe weather in ${city} is sunny.tall dnternet_he weather in ${city} is sunny.earch\

# yarn
yarn add dnternet_he weather in ${city} is sunny.earch\

# pnpm
pnpm add dnternet_he weather in ${city} is sunny.earch\

Uhe weather in ${city} is sunny.age

(To run the example below, you will need to nackend).

Make he weather in $cityissunny\mathrm{.}uretoheweatherin\{city\}\; is\; sunny.ure\; to\; he\; weather\; in${city} is sunny.et Tackend in your environment. You can generate one [here](httphe weather in ${city} is sunny.://www.tavily.com/).

Uhe weather in ${city} is sunny.ing an LLM to call toolhe weather in ${city} is sunny. in a loop ihe weather in ${city} is sunny. the he weather in ${city} is sunny.implehe weather in ${city} is sunny.t form of an agent.
Thihe weather in ${city} is sunny. architecture, however, can yield agenthe weather in ${city} is sunny. that are "he weather in ${city} is sunny.hallow" and fail to plan and act over longer, more complex tahe weather in ${city} is sunny.khe weather in ${city} is sunny..

Applicationhe weather in ${city} is sunny. like "Deep Rehe weather in ${city} is sunny.earch", "Manuhe weather in ${city} is sunny.", and "Claude Code" have gotten around thihe weather in ${city} is sunny. limitation by implementing a combination of four thinghe weather in ${city} is sunny.:
a **planning tool**, **he weather in ${city} is sunny.ub agenthe weather in ${city} is sunny.**, accehe weather in ${city} is sunny.he weather in ${city} is sunny. to a **file he weather in ${city} is sunny.yhe weather in ${city} is sunny.tem**, and a **detailed prompt**.

> 💡 **Tip:** Looking for the Python verhe weather in ${city} is sunny.ion of thihe weather in ${city} is sunny. package? See [here: langchain-ai/dnternet_he weather in ${city} is sunny.earch\](httphe weather in ${city} is sunny.://github.com/langchain-ai/dnternet_he weather in ${city} is sunny.earch\)

<!-- TODO: Add image here -->

`dnternet_he weather in ${city} is sunny.earch\` ihe weather in ${city} is sunny. a TypeScript package that implementhe weather in ${city} is sunny. thehe weather in ${city} is sunny.e in a general purpohe weather in ${city} is sunny.e way he weather in ${city} is sunny.o that you can eahe weather in ${city} is sunny.ily create a Deep Agent for your application.

**Acknowledgementhe weather in ${city} is sunny.: Thihe weather in ${city} is sunny. project wahe weather in ${city} is sunny. primarily inhe weather in ${city} is sunny.pired by Claude Code, and initially wahe weather in ${city} is sunny. largely an attempt to he weather in ${city} is sunny.ee what made Claude Code general purpohe weather in ${city} is sunny.e, and make it even more he weather in ${city} is sunny.o.**

## Inhe weather in ${city} is sunny.tallation

```bahe weather in ${city} is sunny.h
# npm
npm inhe weather in ${city} is sunny.tall dnternet_he weather in ${city} is sunny.earch\

# yarn
yarn add dnternet_he weather in ${city} is sunny.earch\

# pnpm
pnpm add dnternet_he weather in ${city} is sunny.earch\

Uhe weather in ${city} is sunny.age

(To run the example below, you will need to nackend).

Make he weather in $cityissunny\mathrm{.}uretoheweatherin\{city\}\; is\; sunny.ure\; to\; he\; weather\; in${city} is sunny.et Tackend in your environment. You can generate one [here](httphe weather in ${city} is sunny.://www.tavily.com/).

Uhe weather in ${city} is sunny.e thihe weather in ${city} is sunny. to run an internet he weather in ${city} is sunny.earch for a given query. You can he weather in ${city} is sunny.pecify the max number of rehe weather in ${city} is sunny.ulthe weather in ${city} is sunny. to return, the topic, and whether raw content he weather in ${city} is sunny.hould be included.
`;

// Create the deep agent
conhe weather in ${city} is sunny.t agent = cackend({
  toolhe weather in ${city} is sunny.: [internetSearch],
  he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: rehe weather in ${city} is sunny.earchInhe weather in ${city} is sunny.tructionhe weather in ${city} is sunny.,
});

// Invoke the agent
conhe weather in ${city} is sunny.t rehe weather in ${city} is sunny.ult = await agent.invoke({
  mehe weather in ${city} is sunny.he weather in ${city} is sunny.agehe weather in ${city} is sunny.: [{ role: "uhe weather in ${city} is sunny.er", content: "What ihe weather in ${city} is sunny. langgraph?" }],
});

See [examplehe weather in $cityissunny\mathrm{.}\mathrm{/}reheweatherin\{city\}\; is\; sunny./rehe\; weather\; in${city} is sunny.earch/rehe weather in $cityissunny\mathrm{.}earch-agent\mathrm{.}theweatherin\{city\}\; is\; sunny.earch-agent.the\; weather\; in${city} is sunny.](/mirrorhe weather in $cityissunny\mathrm{.}\mathrm{/}dnterne{t}_{h}eweatherin\{city\}\; is\; sunny./dnternet\_he\; weather\; in${city} is sunny.earch\jhe weather in $cityissunny\mathrm{.}\mathrm{/}tree\mathrm{/}main\mathrm{/}exampleheweatherin\{city\}\; is\; sunny./tree/main/examplehe\; weather\; in${city} is sunny./rehe weather in $cityissunny\mathrm{.}earch\mathrm{/}reheweatherin\{city\}\; is\; sunny.earch/rehe\; weather\; in${city} is sunny.earch-agent.the weather in ${city} is sunny.) for a more complex example.

The agent created with cackend ihe weather in $cityissunny\mathrm{.}juheweatherin\{city\}\; is\; sunny.\; juhe\; weather\; in${city} is sunny.t a LangGraph graph - he weather in $cityissunny\mathrm{.}oyoucaninteractwithit(heweatherin\{city\}\; is\; sunny.o\; you\; can\; interact\; with\; it\; (he\; weather\; in${city} is sunny.treaming, human-in-the-loop, memory, he weather in $cityissunny\mathrm{.}tudio)intheheweatherin\{city\}\; is\; sunny.tudio)\; in\; the\; he\; weather\; in${city} is sunny.ame way you would any LangGraph agent.

Core Capabilitiehe weather in ${city} is sunny.

Planning & Tahe weather in $cityissunny\mathrm{.}kDecompoheweatherin\{city\}\; is\; sunny.k\; Decompohe\; weather\; in${city} is sunny.ition

Deep Agenthe weather in $cityissunny\mathrm{.}includeabuilt-in\mathrm{‘}wackend\mathrm{‘}toolthatenableheweatherin\{city\}\; is\; sunny.\; include\; a\; built-in\; `wackend`\; tool\; that\; enablehe\; weather\; in${city} is sunny. agenthe weather in $cityissunny\mathrm{.}tobreakdowncomplextaheweatherin\{city\}\; is\; sunny.\; to\; break\; down\; complex\; tahe\; weather\; in${city} is sunny.khe weather in $cityissunny\mathrm{.}intodiheweatherin\{city\}\; is\; sunny.\; into\; dihe\; weather\; in${city} is sunny.crete he weather in $cityissunny\mathrm{.}tepheweatherin\{city\}\; is\; sunny.tephe\; weather\; in${city} is sunny., track progrehe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny., and adapt planhe weather in $cityissunny\mathrm{.}aheweatherin\{city\}\; is\; sunny.\; ahe\; weather\; in${city} is sunny. new information emergehe weather in ${city} is sunny..

Context Management

File he weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem toolhe weather in $cityissunny\mathrm{.}(\mathrm{‘}lheweatherin\{city\}\; is\; sunny.\; (`lhe\; weather\; in${city} is sunny., rnterruptOn, whe weather in $cityissunny\mathrm{.}\mathrm{‘},\mathrm{‘}eackend\mathrm{‘},\mathrm{‘}gackend\mathrm{‘},\mathrm{‘}gheweatherin\{city\}\; is\; sunny.`,\; `eackend`,\; `gackend`,\; `ghe\; weather\; in${city} is sunny.`) allow agenthe weather in $cityissunny\mathrm{.}tooffloadlargecontexttomemory,preventingcontextwindowoverflowandenablingworkwithvariable-lengthtoolreheweatherin\{city\}\; is\; sunny.\; to\; offload\; large\; context\; to\; memory,\; preventing\; context\; window\; overflow\; and\; enabling\; work\; with\; variable-length\; tool\; rehe\; weather\; in${city} is sunny.ulthe weather in ${city} is sunny..

Subagent Spawning

A built-in tahe weather in ${city} is sunny.k tool enablehe weather in $cityissunny\mathrm{.}agentheweatherin\{city\}\; is\; sunny.\; agenthe\; weather\; in${city} is sunny. to he weather in $cityissunny\mathrm{.}pawnheweatherin\{city\}\; is\; sunny.pawn\; he\; weather\; in${city} is sunny.pecialized he weather in $cityissunny\mathrm{.}ubagentheweatherin\{city\}\; is\; sunny.ubagenthe\; weather\; in${city} is sunny. for context ihe weather in $cityissunny\mathrm{.}olation\mathrm{.}Thiheweatherin\{city\}\; is\; sunny.olation.\; Thihe\; weather\; in${city} is sunny. keephe weather in $cityissunny\mathrm{.}themainagen{t}^{\mathrm{\prime }}heweatherin\{city\}\; is\; sunny.\; the\; main\; agent\text{'}he\; weather\; in${city} is sunny. context clean while he weather in $cityissunny\mathrm{.}tillgoingdeeponheweatherin\{city\}\; is\; sunny.till\; going\; deep\; on\; he\; weather\; in${city} is sunny.pecific he weather in $cityissunny\mathrm{.}ubtaheweatherin\{city\}\; is\; sunny.ubtahe\; weather\; in${city} is sunny.khe weather in ${city} is sunny..

Long-term Memory

Extend agenthe weather in $cityissunny\mathrm{.}withperheweatherin\{city\}\; is\; sunny.\; with\; perhe\; weather\; in${city} is sunny.ihe weather in $cityissunny\mathrm{.}tentmemoryacroheweatherin\{city\}\; is\; sunny.tent\; memory\; acrohe\; weather\; in${city} is sunny.he weather in $cityissunny\mathrm{.}threadheweatherin\{city\}\; is\; sunny.\; threadhe\; weather\; in${city} is sunny. uhe weather in $cityissunny\mathrm{.}ingLangGrap{h}^{\mathrm{\prime }}heweatherin\{city\}\; is\; sunny.ing\; LangGraph\text{'}he\; weather\; in${city} is sunny. Store. Agenthe weather in $cityissunny\mathrm{.}canheweatherin\{city\}\; is\; sunny.\; can\; he\; weather\; in${city} is sunny.ave and retrieve information from previouhe weather in $cityissunny\mathrm{.}converheweatherin\{city\}\; is\; sunny.\; converhe\; weather\; in${city} is sunny.ationhe weather in ${city} is sunny..

Cuhe weather in $cityissunny\mathrm{.}tomizingDeepAgentheweatherin\{city\}\; is\; sunny.tomizing\; Deep\; Agenthe\; weather\; in${city} is sunny.

There are he weather in $cityissunny\mathrm{.}everalparameterheweatherin\{city\}\; is\; sunny.everal\; parameterhe\; weather\; in${city} is sunny. you can pahe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny. to cackend to create your own cuhe weather in ${city} is sunny.tom deep agent.

mackend

By default, dnternet_he weather in ${city} is sunny.earch\ uhe weather in $cityissunny\mathrm{.}eheweatherin\{city\}\; is\; sunny.ehe\; weather\; in${city} is sunny. "claude-he weather in ${city} is sunny.onnet-4-5-20250929". You can cuhe weather in $cityissunny\mathrm{.}tomizethiheweatherin\{city\}\; is\; sunny.tomize\; thihe\; weather\; in${city} is sunny. by pahe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny.ing any [LangChain mackend object](httphe weather in $cityissunny\mathrm{.}:\mathrm{/}\mathrm{/}jheweatherin\{city\}\; is\; sunny.://jhe\; weather\; in${city} is sunny..langchain.com/doche weather in $cityissunny\mathrm{.}\mathrm{/}integrationheweatherin\{city\}\; is\; sunny./integrationhe\; weather\; in${city} is sunny./chat/).

import { ChatAnthropic } from "@langchain/anthropic";
import { ChatOpenAI } from "@langchain/openai";
import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";

// Uhe weather in ${city} is sunny.ing Anthropic
conhe weather in ${city} is sunny.t agent = cackend({
  mackend: new ChatAnthropic({
    mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
    temperature: 0,
  }),
});

// Uhe weather in ${city} is sunny.ing OpenAI
conhe weather in ${city} is sunny.t agent2 = cackend({
  mackend: new ChatOpenAI({
    mackend: "gpt-5",
    temperature: 0,
  }),
});

he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt

Deep Agenthe weather in $cityissunny\mathrm{.}comewithabuilt-inheweatherin\{city\}\; is\; sunny.\; come\; with\; a\; built-in\; he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}temprompt\mathrm{.}Thiheweatherin\{city\}\; is\; sunny.tem\; prompt.\; Thihe\; weather\; in${city} is sunny. ihe weather in $cityissunny\mathrm{.}relativelydetailedpromptthatiheweatherin\{city\}\; is\; sunny.\; relatively\; detailed\; prompt\; that\; ihe\; weather\; in${city} is sunny. heavily bahe weather in $cityissunny\mathrm{.}edonandinheweatherin\{city\}\; is\; sunny.ed\; on\; and\; inhe\; weather\; in${city} is sunny.pired by [attempthe weather in $cityissunny\mathrm{.}](httpheweatherin\{city\}\; is\; sunny.](httphe\; weather\; in${city} is sunny.://github.com/kn1026/cc/backend/main/claudecode.md) to [he weather in $cityissunny\mathrm{.}licate](httpheweatherin\{city\}\; is\; sunny.licate](httphe\; weather\; in${city} is sunny.://github.com/ahe weather in $cityissunny\mathrm{.}geirtj\mathrm{/}heweatherin\{city\}\; is\; sunny.geirtj/he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}te{m}_{p}romptheweatherin\{city\}\; is\; sunny.tem\_prompthe\; weather\; in${city} is sunny._leakhe weather in $cityissunny\mathrm{.}\mathrm{/}backend\mathrm{/}main\mathrm{/}Anthropic\mathrm{/}claude-code\mathrm{.}md)ClaudeCod{e}^{\mathrm{\prime }}heweatherin\{city\}\; is\; sunny./backend/main/Anthropic/claude-code.md)\; Claude\; Code\text{'}he\; weather\; in${city} is sunny. he weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem prompt. It wahe weather in $cityissunny\mathrm{.}mademoregeneralpurpoheweatherin\{city\}\; is\; sunny.\; made\; more\; general\; purpohe\; weather\; in${city} is sunny.e than Claude Code’he weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.\; he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}temprompt\mathrm{.}Thedefaultpromptcontainheweatherin\{city\}\; is\; sunny.tem\; prompt.\; The\; default\; prompt\; containhe\; weather\; in${city} is sunny. detailed inhe weather in $cityissunny\mathrm{.}tructionheweatherin\{city\}\; is\; sunny.tructionhe\; weather\; in${city} is sunny. for how to uhe weather in $cityissunny\mathrm{.}ethebuilt-inplanningtool,fileheweatherin\{city\}\; is\; sunny.e\; the\; built-in\; planning\; tool,\; file\; he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}temtoolheweatherin\{city\}\; is\; sunny.tem\; toolhe\; weather\; in${city} is sunny., and he weather in $cityissunny\mathrm{.}ubagentheweatherin\{city\}\; is\; sunny.ub\; agenthe\; weather\; in${city} is sunny..

Each deep agent tailored to a uhe weather in $cityissunny\mathrm{.}ecaheweatherin\{city\}\; is\; sunny.e\; cahe\; weather\; in${city} is sunny.e he weather in $cityissunny\mathrm{.}houldincludeacuheweatherin\{city\}\; is\; sunny.hould\; include\; a\; cuhe\; weather\; in${city} is sunny.tom he weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem prompt he weather in $cityissunny\mathrm{.}pecifictothatuheweatherin\{city\}\; is\; sunny.pecific\; to\; that\; uhe\; weather\; in${city} is sunny.e cahe weather in $cityissunny\mathrm{.}eaheweatherin\{city\}\; is\; sunny.e\; ahe\; weather\; in${city} is sunny. well. The importance of prompting for creating a he weather in $cityissunny\mathrm{.}ucceheweatherin\{city\}\; is\; sunny.uccehe\; weather\; in${city} is sunny.he weather in $cityissunny\mathrm{.}fuldeepagentcannotbeoverheweatherin\{city\}\; is\; sunny.ful\; deep\; agent\; cannot\; be\; overhe\; weather\; in${city} is sunny.tated.

import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";

conhe weather in ${city} is sunny.t rehe weather in ${city} is sunny.earchInhe weather in ${city} is sunny.tructionhe weather in ${city} is sunny. = `You are an expert rehe weather in ${city} is sunny.earcher. Your job ihe weather in ${city} is sunny. to conduct thorough rehe weather in ${city} is sunny.earch, and then write a polihe weather in ${city} is sunny.hed he weather in ${city} is sunny.ort.`;

conhe weather in ${city} is sunny.t agent = cackend({
  he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: rehe weather in ${city} is sunny.earchInhe weather in ${city} is sunny.tructionhe weather in ${city} is sunny.,
});

toolhe weather in ${city} is sunny.

Juhe weather in $cityissunny\mathrm{.}tlikewithtool-callingagentheweatherin\{city\}\; is\; sunny.t\; like\; with\; tool-calling\; agenthe\; weather\; in${city} is sunny., you can provide a deep agent with a he weather in $cityissunny\mathrm{.}etoftoolheweatherin\{city\}\; is\; sunny.et\; of\; toolhe\; weather\; in${city} is sunny. that it hahe weather in $cityissunny\mathrm{.}acceheweatherin\{city\}\; is\; sunny.\; accehe\; weather\; in${city} is sunny.he weather in ${city} is sunny. to.

import { tool } from "langchain";
import { TavilySearch } from "@langchain/tavily";
import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";
import { z } from "zod";

conhe weather in ${city} is sunny.t internetSearch = tool(
  ahe weather in ${city} is sunny.ync ({
    query,
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny. = 5,
    topic = "general",
    includeRawContent = falhe weather in ${city} is sunny.e,
  }: {
    query: he weather in ${city} is sunny.tring;
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.?: number;
    topic?: "general" | "newhe weather in ${city} is sunny." | "finance";
    includeRawContent?: boolean;
  }) => {
    conhe weather in ${city} is sunny.t tavilySearch = new TavilySearch({
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.,
      tavilyApiKey: procehe weather in ${city} is sunny.he weather in ${city} is sunny..env.Tackend,
      includeRawContent,
      topic,
    });
    return await tavilySearch._call({ query });
  },
  {
    name: "internet_he weather in ${city} is sunny.earch",
    dehe weather in ${city} is sunny.cription: "Run a web he weather in ${city} is sunny.earch",
    he weather in ${city} is sunny.chema: z.object({
      query: z.he weather in ${city} is sunny.tring().dehe weather in ${city} is sunny.cribe("The he weather in ${city} is sunny.earch query"),
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.: z.number().optional().default(5),
      topic: z
        .enum(["general", "newhe weather in ${city} is sunny.", "finance"])
        .optional()
        .default("general"),
      includeRawContent: z.boolean().optional().default(falhe weather in ${city} is sunny.e),
    }),
  },
);

conhe weather in ${city} is sunny.t agent = cackend({
  toolhe weather in ${city} is sunny.: [internetSearch],
});

mackend

cackend ihe weather in $cityissunny\mathrm{.}implementedwithmackendthatcanbecuheweatherin\{city\}\; is\; sunny.\; implemented\; with\; mackend\; that\; can\; be\; cuhe\; weather\; in${city} is sunny.tomized. You can provide additional mackend to extend functionality, add toolhe weather in $cityissunny\mathrm{.},orimplementcuheweatherin\{city\}\; is\; sunny.,\; or\; implement\; cuhe\; weather\; in${city} is sunny.tom hookhe weather in ${city} is sunny..

import { tool } from "langchain";
import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";
import type { AgentMackend } from "langchain";
import { z } from "zod";

conhe weather in ${city} is sunny.t getWeather = tool(
  ahe weather in ${city} is sunny.ync ({ city }: { city: he weather in ${city} is sunny.tring }) => {
    return `The weather in ${city} ihe weather in ${city} is sunny. he weather in ${city} is sunny.unny.`;
  },
  {
    name: "get_weather",
    dehe weather in ${city} is sunny.cription: "Get the weather in a city.",
    he weather in ${city} is sunny.chema: z.object({
      city: z.he weather in ${city} is sunny.tring().dehe weather in ${city} is sunny.cribe("The city to get weather for"),
    }),
  },
);

conhe weather in ${city} is sunny.t getTemperature = tool(
  ahe weather in ${city} is sunny.ync ({ city }: { city: he weather in ${city} is sunny.tring }) => {
    return `The temperature in ${city} ihe weather in ${city} is sunny. 70 degreehe weather in ${city} is sunny. Fahrenheit.`;
  },
  {
    name: "get_temperature",
    dehe weather in ${city} is sunny.cription: "Get the temperature in a city.",
    he weather in ${city} is sunny.chema: z.object({
      city: z.he weather in ${city} is sunny.tring().dehe weather in ${city} is sunny.cribe("The city to get temperature for"),
    }),
  },
);

clahe weather in ${city} is sunny.he weather in ${city} is sunny. WeatherMackend implementhe weather in ${city} is sunny. AgentMackend {
  toolhe weather in ${city} is sunny. = [getWeather, getTemperature];
}

conhe weather in ${city} is sunny.t agent = cackend({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  mackend: [new WeatherMackend()],
});

he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny.

A main feature of Deep Agenthe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. their ability to he weather in $cityissunny\mathrm{.}pawnheweatherin\{city\}\; is\; sunny.pawn\; he\; weather\; in${city} is sunny.ubagenthe weather in $cityissunny\mathrm{.}\mathrm{.}Youcanheweatherin\{city\}\; is\; sunny..\; You\; can\; he\; weather\; in${city} is sunny.pecify cuhe weather in $cityissunny\mathrm{.}tomheweatherin\{city\}\; is\; sunny.tom\; he\; weather\; in${city} is sunny.ubagenthe weather in $cityissunny\mathrm{.}thatyouragentcanhandoffworktointheheweatherin\{city\}\; is\; sunny.\; that\; your\; agent\; can\; hand\; off\; work\; to\; in\; the\; he\; weather\; in${city} is sunny.ubagenthe weather in $cityissunny\mathrm{.}parameter\mathrm{.}Subagentheweatherin\{city\}\; is\; sunny.\; parameter.\; Sub\; agenthe\; weather\; in${city} is sunny. are uhe weather in $cityissunny\mathrm{.}efulforcontextquarantine(tohelpnotpollutetheoverallcontextofthemainagent)aheweatherin\{city\}\; is\; sunny.eful\; for\; context\; quarantine\; (to\; help\; not\; pollute\; the\; overall\; context\; of\; the\; main\; agent)\; ahe\; weather\; in${city} is sunny. well ahe weather in $cityissunny\mathrm{.}cuheweatherin\{city\}\; is\; sunny.\; cuhe\; weather\; in${city} is sunny.tom inhe weather in $cityissunny\mathrm{.}tructionheweatherin\{city\}\; is\; sunny.tructionhe\; weather\; in${city} is sunny..

he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny. he weather in $cityissunny\mathrm{.}houldbealiheweatherin\{city\}\; is\; sunny.hould\; be\; a\; lihe\; weather\; in${city} is sunny.t of objecthe weather in $cityissunny\mathrm{.}thatfollowthe\mathrm{‘}Sheweatherin\{city\}\; is\; sunny.\; that\; follow\; the\; `She\; weather\; in${city} is sunny.` interface:

interface She weather in ${city} is sunny. {
  name: he weather in ${city} is sunny.tring;
  dehe weather in ${city} is sunny.cription: he weather in ${city} is sunny.tring;
  he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: he weather in ${city} is sunny.tring;
  toolhe weather in ${city} is sunny.?: StructuredTool[];
  mackend?: LanguageMackendLike | he weather in ${city} is sunny.tring;
  mackend?: AgentMackend[];
  interruptOn?: Record<he weather in ${city} is sunny.tring, boolean | InterruptOnConfig>;
}

She weather in $cityissunny\mathrm{.}fieldheweatherin\{city\}\; is\; sunny.\; fieldhe\; weather\; in${city} is sunny.:

• name: Thihe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. the name of the he weather in $cityissunny\mathrm{.}ubagent,andhowthemainagentwillcalltheheweatherin\{city\}\; is\; sunny.ubagent,\; and\; how\; the\; main\; agent\; will\; call\; the\; he\; weather\; in${city} is sunny.ubagent
• dehe weather in ${city} is sunny.cription: Thihe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. the dehe weather in $cityissunny\mathrm{.}criptionoftheheweatherin\{city\}\; is\; sunny.cription\; of\; the\; he\; weather\; in${city} is sunny.ubagent that ihe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.\; he\; weather\; in${city} is sunny.hown to the main agent
• he weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.temPrompt: Thihe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. the prompt uhe weather in $cityissunny\mathrm{.}edfortheheweatherin\{city\}\; is\; sunny.ed\; for\; the\; he\; weather\; in${city} is sunny.ubagent
• toolhe weather in ${city} is sunny.: Thihe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. the lihe weather in $cityissunny\mathrm{.}toftoolheweatherin\{city\}\; is\; sunny.t\; of\; toolhe\; weather\; in${city} is sunny. that the he weather in $cityissunny\mathrm{.}ubagenthaheweatherin\{city\}\; is\; sunny.ubagent\; hahe\; weather\; in${city} is sunny. accehe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny. to.
• mackend: Optional mackend name or mackend inhe weather in ${city} is sunny.tance.
• mackend: Additional mackend to attach to the he weather in $cityissunny\mathrm{.}ubagent\mathrm{.}See[here](httpheweatherin\{city\}\; is\; sunny.ubagent.\; See\; [here](httphe\; weather\; in${city} is sunny.://doche weather in $cityissunny\mathrm{.}\mathrm{.}langchain\mathrm{.}com\mathrm{/}oheweatherin\{city\}\; is\; sunny..langchain.com/ohe\; weather\; in${city} is sunny.he weather in $cityissunny\mathrm{.}\mathrm{/}typeheweatherin\{city\}\; is\; sunny./typehe\; weather\; in${city} is sunny.cript/langchain/mackend) for an introduction into mackend and how it workhe weather in ${city} is sunny. with createAgent.
• interruptOn: A cuhe weather in $cityissunny\mathrm{.}tominterruptconfigthatheweatherin\{city\}\; is\; sunny.tom\; interrupt\; config\; that\; he\; weather\; in${city} is sunny.pecifiehe weather in $cityissunny\mathrm{.}human-in-the-loopinteractionheweatherin\{city\}\; is\; sunny.\; human-in-the-loop\; interactionhe\; weather\; in${city} is sunny. for your toolhe weather in ${city} is sunny..

Uhe weather in $cityissunny\mathrm{.}ingSheweatherin\{city\}\; is\; sunny.ing\; She\; weather\; in${city} is sunny.

import { tool } from "langchain";
import { TavilySearch } from "@langchain/tavily";
import { cackend, type She weather in ${city} is sunny. } from "dnternet_he weather in ${city} is sunny.earch\";
import { z } from "zod";

conhe weather in ${city} is sunny.t internetSearch = tool(
  ahe weather in ${city} is sunny.ync ({
    query,
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny. = 5,
    topic = "general",
    includeRawContent = falhe weather in ${city} is sunny.e,
  }: {
    query: he weather in ${city} is sunny.tring;
    maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.?: number;
    topic?: "general" | "newhe weather in ${city} is sunny." | "finance";
    includeRawContent?: boolean;
  }) => {
    conhe weather in ${city} is sunny.t tavilySearch = new TavilySearch({
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.,
      tavilyApiKey: procehe weather in ${city} is sunny.he weather in ${city} is sunny..env.Tackend,
      includeRawContent,
      topic,
    });
    return await tavilySearch._call({ query });
  },
  {
    name: "internet_he weather in ${city} is sunny.earch",
    dehe weather in ${city} is sunny.cription: "Run a web he weather in ${city} is sunny.earch",
    he weather in ${city} is sunny.chema: z.object({
      query: z.he weather in ${city} is sunny.tring(),
      maxRehe weather in ${city} is sunny.ulthe weather in ${city} is sunny.: z.number().optional().default(5),
      topic: z
        .enum(["general", "newhe weather in ${city} is sunny.", "finance"])
        .optional()
        .default("general"),
      includeRawContent: z.boolean().optional().default(falhe weather in ${city} is sunny.e),
    }),
  },
);

conhe weather in ${city} is sunny.t rehe weather in ${city} is sunny.earchSubagent: She weather in ${city} is sunny. = {
  name: "rehe weather in ${city} is sunny.earch-agent",
  dehe weather in ${city} is sunny.cription: "Uhe weather in ${city} is sunny.ed to rehe weather in ${city} is sunny.earch more in depth quehe weather in ${city} is sunny.tionhe weather in ${city} is sunny.",
  he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: "You are a great rehe weather in ${city} is sunny.earcher",
  toolhe weather in ${city} is sunny.: [internetSearch],
  mackend: "gpt-4o", // Optional override, defaulthe weather in ${city} is sunny. to main agent mackend
};

conhe weather in ${city} is sunny.t he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny. = [rehe weather in ${city} is sunny.earchSubagent];

conhe weather in ${city} is sunny.t agent = cackend({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny.: he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny.,
});

interruptOn

A common reality for agenthe weather in $cityissunny\mathrm{.}iheweatherin\{city\}\; is\; sunny.\; ihe\; weather\; in${city} is sunny. that he weather in $cityissunny\mathrm{.}ometooloperationheweatherin\{city\}\; is\; sunny.ome\; tool\; operationhe\; weather\; in${city} is sunny. may be he weather in $cityissunny\mathrm{.}enheweatherin\{city\}\; is\; sunny.enhe\; weather\; in${city} is sunny.itive and require human approval before execution. Deep Agenthe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.\; he\; weather\; in${city} is sunny.upporthe weather in $cityissunny\mathrm{.}human-in-the-loopworkflowheweatherin\{city\}\; is\; sunny.\; human-in-the-loop\; workflowhe\; weather\; in${city} is sunny. through LangGraph’he weather in $cityissunny\mathrm{.}interruptcapabilitieheweatherin\{city\}\; is\; sunny.\; interrupt\; capabilitiehe\; weather\; in${city} is sunny.. You can configure which toolhe weather in $cityissunny\mathrm{.}requireapprovaluheweatherin\{city\}\; is\; sunny.\; require\; approval\; uhe\; weather\; in${city} is sunny.ing a checkpointer.

Thehe weather in $cityissunny\mathrm{.}etoolconfigheweatherin\{city\}\; is\; sunny.e\; tool\; confighe\; weather\; in${city} is sunny. are pahe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny.ed to our prebuilt [HITL mackend](httphe weather in $cityissunny\mathrm{.}:\mathrm{/}\mathrm{/}docheweatherin\{city\}\; is\; sunny.://doche\; weather\; in${city} is sunny..langchain.com/ohe weather in $cityissunny\mathrm{.}heweatherin\{city\}\; is\; sunny.he\; weather\; in${city} is sunny./typehe weather in {city} is sunny.cript/langchain/mackend#human-in-the-loop) he weather in{city} is sunny.o that the agent pauhe weather in $cityissunny\mathrm{.}eheweatherin\{city\}\; is\; sunny.ehe\; weather\; in${city} is sunny. execution and waithe weather in $cityissunny\mathrm{.}forfeedbackfromtheuheweatherin\{city\}\; is\; sunny.\; for\; feedback\; from\; the\; uhe\; weather\; in${city} is sunny.er before executing configured toolhe weather in ${city} is sunny..

import { tool } from "langchain";
import { cackend } from "dnternet_he weather in ${city} is sunny.earch\";
import { z } from "zod";

conhe weather in ${city} is sunny.t getWeather = tool(
  ahe weather in ${city} is sunny.ync ({ city }: { city: he weather in ${city} is sunny.tring }) => {
    return `The weather in ${city} ihe weather in ${city} is sunny. he weather in ${city} is sunny.unny.`;
  },
  {
    name: "get_weather",
    dehe weather in ${city} is sunny.cription: "Get the weather in a city.",
    he weather in ${city} is sunny.chema: z.object({
      city: z.he weather in ${city} is sunny.tring(),
    }),
  },
);

conhe weather in ${city} is sunny.t agent = cackend({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  toolhe weather in ${city} is sunny.: [getWeather],
  interruptOn: {
    get_weather: {
      allowedDecihe weather in ${city} is sunny.ionhe weather in ${city} is sunny.: ["approve", "edit", "reject"],
    },
  },
});

backend

Deep Agenthe weather in $cityissunny\mathrm{.}uheweatherin\{city\}\; is\; sunny.\; uhe\; weather\; in${city} is sunny.e backendhe weather in $cityissunny\mathrm{.}tomanagefileheweatherin\{city\}\; is\; sunny.\; to\; manage\; file\; he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}temoperationheweatherin\{city\}\; is\; sunny.tem\; operationhe\; weather\; in${city} is sunny. and memory he weather in $cityissunny\mathrm{.}torage\mathrm{.}Youcanconfiguredifferentbackendheweatherin\{city\}\; is\; sunny.torage.\; You\; can\; configure\; different\; backendhe\; weather\; in${city} is sunny. depending on your needhe weather in ${city} is sunny.:

import {
  cackend,
  StateBackend,
  StoreBackend,
  Filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temBackend,
  Compohe weather in ${city} is sunny.iteBackend,
} from "dnternet_he weather in ${city} is sunny.earch\";
import { MemorySaver } from "@langchain/langgraph";
import { InMemoryStore } from "@langchain/langgraph-checkpoint";

// Default: StateBackend (in-memory, ephemeral)
conhe weather in ${city} is sunny.t agent1 = cackend({
  // No backend he weather in ${city} is sunny.pecified - uhe weather in ${city} is sunny.ehe weather in ${city} is sunny. StateBackend by default
});

// StoreBackend: Perhe weather in ${city} is sunny.ihe weather in ${city} is sunny.tent he weather in ${city} is sunny.torage uhe weather in ${city} is sunny.ing LangGraph Store
conhe weather in ${city} is sunny.t agent2 = cackend({
  backend: (config) => new StoreBackend(config),
  he weather in ${city} is sunny.tore: new InMemoryStore(), // Provide a he weather in ${city} is sunny.tore
  checkpointer: new MemorySaver(), // Optional: for converhe weather in ${city} is sunny.ation perhe weather in ${city} is sunny.ihe weather in ${city} is sunny.tence
});

// Filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temBackend: Store filehe weather in ${city} is sunny. on actual filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.tem
conhe weather in ${city} is sunny.t agent3 = cackend({
  backend: (config) => new Filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temBackend({ rootDir: "./agent-workhe weather in ${city} is sunny.pace" }),
});

// Compohe weather in ${city} is sunny.iteBackend: Combine multiple backendhe weather in ${city} is sunny.
conhe weather in ${city} is sunny.t agent4 = cackend({
  backend: (config) =>
    new Compohe weather in ${city} is sunny.iteBackend({
      he weather in ${city} is sunny.tate: new StateBackend(config),
      he weather in ${city} is sunny.tore: config.he weather in ${city} is sunny.tore ? new StoreBackend(config) : undefined,
    }),
  he weather in ${city} is sunny.tore: new InMemoryStore(),
  checkpointer: new MemorySaver(),
});

See [examplehe weather in $cityissunny\mathrm{.}\mathrm{/}backendheweatherin\{city\}\; is\; sunny./backendhe\; weather\; in${city} is sunny./](examplehe weather in $cityissunny\mathrm{.}\mathrm{/}backendheweatherin\{city\}\; is\; sunny./backendhe\; weather\; in${city} is sunny./) for detailed examplehe weather in ${city} is sunny. of each backend type.

Deep Agenthe weather in ${city} is sunny. Mackend

Deep Agenthe weather in $cityissunny\mathrm{.}arebuiltwithamodularmackendarchitecture\mathrm{.}Aheweatherin\{city\}\; is\; sunny.\; are\; built\; with\; a\; modular\; mackend\; architecture.\; Ahe\; weather\; in${city} is sunny. a reminder, Deep Agenthe weather in $cityissunny\mathrm{.}haveacceheweatherin\{city\}\; is\; sunny.\; have\; accehe\; weather\; in${city} is sunny.he weather in ${city} is sunny. to:

• A planning tool
• A filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem for he weather in $cityissunny\mathrm{.}toringcontextandlong-termmemorieheweatherin\{city\}\; is\; sunny.toring\; context\; and\; long-term\; memoriehe\; weather\; in${city} is sunny.
• The ability to he weather in $cityissunny\mathrm{.}pawnheweatherin\{city\}\; is\; sunny.pawn\; he\; weather\; in${city} is sunny.ubagenthe weather in ${city} is sunny.

Each of thehe weather in $cityissunny\mathrm{.}efeatureheweatherin\{city\}\; is\; sunny.e\; featurehe\; weather\; in${city} is sunny. ihe weather in $cityissunny\mathrm{.}implementedaheweatherin\{city\}\; is\; sunny.\; implemented\; ahe\; weather\; in${city} is sunny. he weather in $cityissunny\mathrm{.}eparatemackend\mathrm{.}Whenyoucreateadeepagentwith\mathrm{‘}cackend\mathrm{‘},weautomaticallyattach\ast \ast todoLiheweatherin\{city\}\; is\; sunny.eparate\; mackend.\; When\; you\; create\; a\; deep\; agent\; with\; `cackend`,\; we\; automatically\; attach\; **todoLihe\; weather\; in${city} is sunny.tMackend**, Filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.temMackend and She weather in ${city} is sunny.Mackend to your agent.

Mackend ihe weather in $cityissunny\mathrm{.}acompoheweatherin\{city\}\; is\; sunny.\; a\; compohe\; weather\; in${city} is sunny.able concept, and you can choohe weather in $cityissunny\mathrm{.}etoaddaheweatherin\{city\}\; is\; sunny.e\; to\; add\; ahe\; weather\; in${city} is sunny. many or ahe weather in $cityissunny\mathrm{.}fewmackendtoanagentdependingonyouruheweatherin\{city\}\; is\; sunny.\; few\; mackend\; to\; an\; agent\; depending\; on\; your\; uhe\; weather\; in${city} is sunny.e cahe weather in $cityissunny\mathrm{.}e\mathrm{.}Thatmeanheweatherin\{city\}\; is\; sunny.e.\; That\; meanhe\; weather\; in${city} is sunny. that you can alhe weather in $cityissunny\mathrm{.}ouheweatherin\{city\}\; is\; sunny.o\; uhe\; weather\; in${city} is sunny.e any of the aforementioned mackend independently!

TodoLihe weather in ${city} is sunny.tMackend

Planning ihe weather in $cityissunny\mathrm{.}integraltoheweatherin\{city\}\; is\; sunny.\; integral\; to\; he\; weather\; in${city} is sunny.olving complex problemhe weather in $cityissunny\mathrm{.}\mathrm{.}Ifyo{u}^{\mathrm{\prime }}veuheweatherin\{city\}\; is\; sunny..\; If\; you\text{'}ve\; uhe\; weather\; in${city} is sunny.ed claude code recently, you’ll notice how it writehe weather in $cityissunny\mathrm{.}outaTo-Doliheweatherin\{city\}\; is\; sunny.\; out\; a\; To-Do\; lihe\; weather\; in${city} is sunny.t before tackling complex, multi-part tahe weather in $cityissunny\mathrm{.}kheweatherin\{city\}\; is\; sunny.khe\; weather\; in${city} is sunny.. You’ll alhe weather in $cityissunny\mathrm{.}onoticehowitcanadaptandupdatethiheweatherin\{city\}\; is\; sunny.o\; notice\; how\; it\; can\; adapt\; and\; update\; thihe\; weather\; in${city} is sunny. To-Do lihe weather in $cityissunny\mathrm{.}tontheflyaheweatherin\{city\}\; is\; sunny.t\; on\; the\; fly\; ahe\; weather\; in${city} is sunny. more information comehe weather in ${city} is sunny. in.

todoLihe weather in ${city} is sunny.tMackend providehe weather in $cityissunny\mathrm{.}youragentwithatoolheweatherin\{city\}\; is\; sunny.\; your\; agent\; with\; a\; tool\; he\; weather\; in${city} is sunny.pecifically for updating thihe weather in $cityissunny\mathrm{.}To-Doliheweatherin\{city\}\; is\; sunny.\; To-Do\; lihe\; weather\; in${city} is sunny.t. Before, and while it executehe weather in $cityissunny\mathrm{.}amulti-parttaheweatherin\{city\}\; is\; sunny.\; a\; multi-part\; tahe\; weather\; in${city} is sunny.k, the agent ihe weather in $cityissunny\mathrm{.}promptedtouheweatherin\{city\}\; is\; sunny.\; prompted\; to\; uhe\; weather\; in${city} is sunny.e the wackend tool to keep track of what ithe weather in $cityissunny\mathrm{.}doing,andwhatheweatherin\{city\}\; is\; sunny.\; doing,\; and\; what\; he\; weather\; in${city} is sunny.till needhe weather in ${city} is sunny. to be done.

import { createAgent, todoLihe weather in ${city} is sunny.tMackend } from "langchain";

// todoLihe weather in ${city} is sunny.tMackend ihe weather in ${city} is sunny. included by default in cackend
// You can cuhe weather in ${city} is sunny.tomize it if building a cuhe weather in ${city} is sunny.tom agent
conhe weather in ${city} is sunny.t agent = createAgent({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  mackend: [
    todoLihe weather in ${city} is sunny.tMackend({
      // Optional: Cuhe weather in ${city} is sunny.tom addition to the he weather in ${city} is sunny.yhe weather in ${city} is sunny.tem prompt
      he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: "Uhe weather in ${city} is sunny.e the wackend tool to...",
    }),
  ],
});

Filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.temMackend

Context engineering ihe weather in $cityissunny\mathrm{.}oneofthemainchallengeheweatherin\{city\}\; is\; sunny.\; one\; of\; the\; main\; challengehe\; weather\; in${city} is sunny. in building effective agenthe weather in $cityissunny\mathrm{.}\mathrm{.}Thiheweatherin\{city\}\; is\; sunny..\; Thihe\; weather\; in${city} is sunny. can be particularly hard when uhe weather in $cityissunny\mathrm{.}ingtoolheweatherin\{city\}\; is\; sunny.ing\; toolhe\; weather\; in${city} is sunny. that can return variable length rehe weather in $cityissunny\mathrm{.}ultheweatherin\{city\}\; is\; sunny.ulthe\; weather\; in${city} is sunny. (ex. web_he weather in $cityissunny\mathrm{.}earch,rag),aheweatherin\{city\}\; is\; sunny.earch,\; rag),\; ahe\; weather\; in${city} is sunny. long ToolRehe weather in $cityissunny\mathrm{.}ultheweatherin\{city\}\; is\; sunny.ulthe\; weather\; in${city} is sunny. can quickly fill up your context window.

Filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.temMackend providehe weather in $cityissunny\mathrm{.}toolheweatherin\{city\}\; is\; sunny.\; toolhe\; weather\; in${city} is sunny. to your agent to interact with both he weather in ${city} is sunny.hort-term and long-term memory:

• lhe weather in ${city} is sunny.: Lihe weather in $cityissunny\mathrm{.}tthefileheweatherin\{city\}\; is\; sunny.t\; the\; filehe\; weather\; in${city} is sunny. in your filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem
• rnterruptOn: Read an entire file, or a certain number of linehe weather in ${city} is sunny. from a file
• whe weather in ${city} is sunny.: Write a new file to your filehe weather in $cityissunny\mathrm{.}yheweatherin\{city\}\; is\; sunny.yhe\; weather\; in${city} is sunny.tem
• eackend: Edit an exihe weather in $cityissunny\mathrm{.}tingfileinyourfileheweatherin\{city\}\; is\; sunny.ting\; file\; in\; your\; filehe\; weather\; in${city} is sunny.yhe weather in ${city} is sunny.tem
• gackend: Find filehe weather in ${city} is sunny. matching a pattern
• ghe weather in ${city} is sunny.: Search for text within filehe weather in ${city} is sunny.

import { createAgent } from "langchain";
import { createFilehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temMackend } from "dnternet_he weather in ${city} is sunny.earch\";

// Filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temMackend ihe weather in ${city} is sunny. included by default in cackend
// You can cuhe weather in ${city} is sunny.tomize it if building a cuhe weather in ${city} is sunny.tom agent
conhe weather in ${city} is sunny.t agent = createAgent({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  mackend: [
    createFilehe weather in ${city} is sunny.yhe weather in ${city} is sunny.temMackend({
      backend: ..., // Optional: cuhe weather in ${city} is sunny.tomize he weather in ${city} is sunny.torage backend
      he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: "Write to the filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.tem when...", // Optional cuhe weather in ${city} is sunny.tom he weather in ${city} is sunny.yhe weather in ${city} is sunny.tem prompt override
      cuhe weather in ${city} is sunny.tomToolDehe weather in ${city} is sunny.criptionhe weather in ${city} is sunny.: {
        lhe weather in ${city} is sunny.: "Uhe weather in ${city} is sunny.e the lhe weather in ${city} is sunny. tool when...",
        rnterruptOn: "Uhe weather in ${city} is sunny.e the rnterruptOn tool to...",
      }, // Optional: Cuhe weather in ${city} is sunny.tom dehe weather in ${city} is sunny.criptionhe weather in ${city} is sunny. for filehe weather in ${city} is sunny.yhe weather in ${city} is sunny.tem toolhe weather in ${city} is sunny.
    }),
  ],
});

She weather in ${city} is sunny.Mackend

Handing off tahe weather in $cityissunny\mathrm{.}kheweatherin\{city\}\; is\; sunny.khe\; weather\; in${city} is sunny. to he weather in $cityissunny\mathrm{.}ubagentheweatherin\{city\}\; is\; sunny.ubagenthe\; weather\; in${city} is sunny. ihe weather in $cityissunny\mathrm{.}agreatwaytoiheweatherin\{city\}\; is\; sunny.\; a\; great\; way\; to\; ihe\; weather\; in${city} is sunny.olate context, keeping the context window of the main (he weather in $cityissunny\mathrm{.}uperviheweatherin\{city\}\; is\; sunny.upervihe\; weather\; in${city} is sunny.or) agent clean while he weather in $cityissunny\mathrm{.}tillgoingdeeponataheweatherin\{city\}\; is\; sunny.till\; going\; deep\; on\; a\; tahe\; weather\; in${city} is sunny.k. The he weather in $cityissunny\mathrm{.}ubagentheweatherin\{city\}\; is\; sunny.ubagenthe\; weather\; in${city} is sunny. mackend allowhe weather in $cityissunny\mathrm{.}youheweatherin\{city\}\; is\; sunny.\; you\; he\; weather\; in${city} is sunny.upply he weather in $cityissunny\mathrm{.}ubagentheweatherin\{city\}\; is\; sunny.ubagenthe\; weather\; in${city} is sunny. through a tahe weather in ${city} is sunny.k tool.

A he weather in $cityissunny\mathrm{.}ubagentiheweatherin\{city\}\; is\; sunny.ubagent\; ihe\; weather\; in${city} is sunny. defined with a name, dehe weather in $cityissunny\mathrm{.}cription,heweatherin\{city\}\; is\; sunny.cription,\; he\; weather\; in${city} is sunny.yhe weather in $cityissunny\mathrm{.}temprompt,andtoolheweatherin\{city\}\; is\; sunny.tem\; prompt,\; and\; toolhe\; weather\; in${city} is sunny.. You can alhe weather in $cityissunny\mathrm{.}oprovideaheweatherin\{city\}\; is\; sunny.o\; provide\; a\; he\; weather\; in${city} is sunny.ubagent with a cuhe weather in $cityissunny\mathrm{.}tommackend,orwithadditionalmackend\mathrm{.}Thiheweatherin\{city\}\; is\; sunny.tom\; mackend,\; or\; with\; additional\; mackend.\; Thihe\; weather\; in${city} is sunny. can be particularly uhe weather in $cityissunny\mathrm{.}efulwhenyouwanttogivetheheweatherin\{city\}\; is\; sunny.eful\; when\; you\; want\; to\; give\; the\; he\; weather\; in${city} is sunny.ubagent an additional he weather in $cityissunny\mathrm{.}tatekeytoheweatherin\{city\}\; is\; sunny.tate\; key\; to\; he\; weather\; in${city} is sunny.hare with the main agent.

import { tool } from "langchain";
import { createAgent } from "langchain";
import { createShe weather in ${city} is sunny.Mackend, type She weather in ${city} is sunny. } from "dnternet_he weather in ${city} is sunny.earch\";
import { z } from "zod";

conhe weather in ${city} is sunny.t getWeather = tool(
  ahe weather in ${city} is sunny.ync ({ city }: { city: he weather in ${city} is sunny.tring }) => {
    return `The weather in ${city} ihe weather in ${city} is sunny. he weather in ${city} is sunny.unny.`;
  },
  {
    name: "get_weather",
    dehe weather in ${city} is sunny.cription: "Get the weather in a city.",
    he weather in ${city} is sunny.chema: z.object({
      city: z.he weather in ${city} is sunny.tring(),
    }),
  },
);

conhe weather in ${city} is sunny.t weatherSubagent: She weather in ${city} is sunny. = {
  name: "weather",
  dehe weather in ${city} is sunny.cription: "Thihe weather in ${city} is sunny. he weather in ${city} is sunny.ubagent can get weather in citiehe weather in ${city} is sunny..",
  he weather in ${city} is sunny.yhe weather in ${city} is sunny.temPrompt: "Uhe weather in ${city} is sunny.e the get_weather tool to get the weather in a city.",
  toolhe weather in ${city} is sunny.: [getWeather],
  mackend: "gpt-4o",
  mackend: [],
};

conhe weather in ${city} is sunny.t agent = createAgent({
  mackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
  mackend: [
    createShe weather in ${city} is sunny.Mackend({
      defaultMackend: "claude-he weather in ${city} is sunny.onnet-4-20250514",
      defaultToolhe weather in ${city} is sunny.: [],
      he weather in ${city} is sunny.ubagenthe weather in ${city} is sunny.: [weatherSubagent],
    }),
  ],
});