Linkup Search Tool

Description

The LinkupSearchTool is a tool designed for integration with the CrewAI framework. It 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.

Features

• Perform API queries to the Linkup platform using customizable parameters (query, depth, output_type).
• Gracefully handles API errors and provides structured feedback.
• Returns well-structured results for seamless integration into CrewAI processes.

Installation

Prerequisites

• Linkup API Key

Steps

1. shellCopy

pip install 'crewai[tools]'

2. Create a `.env` file in your project root and add your Linkup API Key:
 ```plaintext
 LINKUP_API_KEY=your_linkup_api_key

Usage

Basic Example

Here is how to use the LinkupSearchTool in a CrewAI project:

1. Import and Initialize:

   pythonCopy

   from tools.linkup_tools import LinkupSearchTool
   import os
   from dotenv import load_dotenv
   
   load_dotenv()
   
   linkup_tool = LinkupSearchTool(api_key=os.getenv("LINKUP_API_KEY"))
   

2. Set Up an Agent and Task:

   pythonCopy

   from crewai import Agent, Task, Crew
   
   # Define the agent
   research_agent = Agent(
       role="Information Researcher",
       goal="Fetch relevant results from Linkup.",
       backstory="An expert in online information retrieval...",
       tools=[linkup_tool],
       verbose=True
   )
   
   # Define the task
   search_task = Task(
       expected_output="A detailed list of Nobel Prize-winning women in physics with their achievements.",
       description="Search for women who have won the Nobel Prize in Physics.",
       agent=research_agent
   )
   
   # Create and run the crew
   crew = Crew(
       agents=[research_agent],
       tasks=[search_task]
   )
   
   result = crew.kickoff()
   print(result)
   

Advanced Configuration

You can customize the parameters for the LinkupSearchTool:

• query: The search term or phrase.
• depth: The search depth ("standard" by default).
• output_type: The type of output ("searchResults" by default).

Example:

response = linkup_tool._run(
    query="Women Nobel Prize Physics",
    depth="standard",
    output_type="searchResults"
)