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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
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:
-
Import and Initialize:
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")) -
Set Up an Agent and Task:
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"
)