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*   [Providers](/v0.1/docs/integrations/platforms/)
    
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*   DuckDuckGoSearch

DuckDuckGoSearch
================

DuckDuckGoSearch offers a privacy-focused search API designed for LLM Agents. It provides seamless integration with a wide range of data sources, prioritizing user privacy and relevant search results.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

Install the `@langchain/community` package, along with the `duck-duck-scrape` dependency:

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

*   npm
*   Yarn
*   pnpm

    npm install duck-duck-scrape

    yarn add duck-duck-scrape

    pnpm add duck-duck-scrape

Usage[​](#usage "Direct link to Usage")
---------------------------------------

You can call `.invoke` on `DuckDuckGoSearch` to search for a query:

    import { DuckDuckGoSearch } from "@langchain/community/tools/duckduckgo_search";// Instantiate the DuckDuckGoSearch tool.const tool = new DuckDuckGoSearch({ maxResults: 1 });// Get the results of a query by calling .invoke on the tool.const result = await tool.invoke(  "What is Anthropic's estimated revenue for 2024?");console.log(result);/*[{  "title": "Anthropic forecasts more than $850 mln in annualized revenue rate by ...",  "link": "https://www.reuters.com/technology/anthropic-forecasts-more-than-850-mln-annualized-revenue-rate-by-2024-end-report-2023-12-26/",  "snippet": "Dec 26 (Reuters) - Artificial intelligence startup <b>Anthropic</b> has projected it will generate more than $850 million in annualized <b>revenue</b> by the end of <b>2024</b>, the Information reported on Tuesday ..."}]*/

#### API Reference:

*   [DuckDuckGoSearch](https://api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) from `@langchain/community/tools/duckduckgo_search`

tip

See the LangSmith trace [here](https://smith.langchain.com/public/c352faaf-e617-4779-a943-96f963dc19a5/r)

### With an agent[​](#with-an-agent "Direct link to With an agent")

    import { DuckDuckGoSearch } from "@langchain/community/tools/duckduckgo_search";import { ChatOpenAI } from "@langchain/openai";import type { ChatPromptTemplate } from "@langchain/core/prompts";import { pull } from "langchain/hub";import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";// Define the tools the agent will have access to.const tools = [new DuckDuckGoSearch({ maxResults: 1 })];// Get the prompt to use - you can modify this!// If you want to see the prompt in full, you can at:// https://smith.langchain.com/hub/hwchase17/openai-functions-agentconst prompt = await pull<ChatPromptTemplate>(  "hwchase17/openai-functions-agent");const llm = new ChatOpenAI({  model: "gpt-4-turbo-preview",  temperature: 0,});const agent = await createOpenAIFunctionsAgent({  llm,  tools,  prompt,});const agentExecutor = new AgentExecutor({  agent,  tools,});const result = await agentExecutor.invoke({  input: "What is Anthropic's estimated revenue for 2024?",});console.log(result);/*{  input: "What is Anthropic's estimated revenue for 2024?",  output: 'Anthropic has projected that it will generate more than $850 million in annualized revenue by the end of 2024. For more details, you can refer to the [Reuters article](https://www.reuters.com/technology/anthropic-forecasts-more-than-850-mln-annualized-revenue-rate-by-2024-end-report-2023-12-26/).'}*/

#### API Reference:

*   [DuckDuckGoSearch](https://api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) from `@langchain/community/tools/duckduckgo_search`
*   [ChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [ChatPromptTemplate](https://api.js.langchain.com/classes/langchain_core_prompts.ChatPromptTemplate.html) from `@langchain/core/prompts`
*   [pull](https://api.js.langchain.com/functions/langchain_hub.pull.html) from `langchain/hub`
*   [AgentExecutor](https://api.js.langchain.com/classes/langchain_agents.AgentExecutor.html) from `langchain/agents`
*   [createOpenAIFunctionsAgent](https://api.js.langchain.com/functions/langchain_agents.createOpenAIFunctionsAgent.html) from `langchain/agents`

tip

See the LangSmith trace for the Agent example [here](https://smith.langchain.com/public/48f84a32-4fb5-4863-a8cd-324abebfce91/r)

* * *

#### Help us out by providing feedback on this documentation page:

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