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Documentation Index

Fetch the complete documentation index at: https://docs.crewai.com/llms.txt

Use this file to discover all available pages before exploring further.

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LinkupSearchTool

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Description

The LinkupSearchTool provides the ability to query the Linkup API for contextual information and retrieve structured results. This tool is ideal for enriching workflows with up-to-date and reliable information from Linkup, allowing agents to access relevant data during their tasks.

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Installation

To use this tool, you need to install the Linkup SDK: 
uv add linkup-sdk

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Steps to Get Started

To effectively use the LinkupSearchTool, follow these steps:
  1. API Key: Obtain a Linkup API key.
  2. Environment Setup: Set up your environment with the API key.
  3. Install SDK: Install the Linkup SDK using the command above.

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Example

The following example demonstrates how to initialize the tool and use it in an agent:
Code
from crewai_tools import LinkupSearchTool
from crewai import Agent
import os

# Initialize the tool with your API key
linkup_tool = LinkupSearchTool(api_key=os.getenv("LINKUP_API_KEY"))

# Define an agent that uses the tool
@agent
def researcher(self) -> Agent:
    '''
    This agent uses the LinkupSearchTool to retrieve contextual information
    from the Linkup API.
    '''
    return Agent(
        config=self.agents_config["researcher"],
        tools=[linkup_tool]
    )

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Parameters

The LinkupSearchTool accepts the following parameters:

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Constructor Parameters

  • api_key: Required. Your Linkup API key.

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Run Parameters

  • query: Required. The search term or phrase.
  • depth: Optional. The search depth. Default is “standard”.
  • output_type: Optional. The type of output. Default is “searchResults”.

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Advanced Usage

You can customize the search parameters for more specific results:
Code
# Perform a search with custom parameters
results = linkup_tool.run(
    query="Women Nobel Prize Physics",
    depth="deep",
    output_type="searchResults"
)

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Return Format

The tool returns results in the following format: 
{
  "success": true,
  "results": [
    {
      "name": "Result Title",
      "url": "https://example.com/result",
      "content": "Content of the result..."
    },
    // Additional results...
  ]
}
If an error occurs, the response will be: 
{
  "success": false,
  "error": "Error message"
}

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Error Handling

The tool gracefully handles API errors and provides structured feedback. If the API request fails, the tool will return a dictionary with success: false and an error message.

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Conclusion

The LinkupSearchTool provides a seamless way to integrate Linkup’s contextual information retrieval capabilities into your CrewAI agents. By leveraging this tool, agents can access relevant and up-to-date information to enhance their decision-making and task execution.