Linkup + OpenAI
Use OpenAI’s function calling capabilities to integrate with Linkup
Welcome to this tutorial on using OpenAI’s function calling capabilities with the Linkup API for web search integration. This guide will help you leverage OpenAI’s intelligence combined with real-time web data to create powerful and up-to-date applications.
By combining OpenAI’s advanced language understanding with Linkup’s search capabilities, you can create applications that:
- Access up-to-date information beyond the model’s training data
- Find specific facts, statistics, and current events
- Research topics with accurate citations and references
- Verify information from authoritative sources
Check out the Google Colab version of this tutorial if you prefer.
Set Up Your Environment
First, let’s import the necessary libraries and set up our environment:
Configure your API keys by setting environment variables or storing them securely in your application:
Initialize the OpenAI client:
Implement Core Functions
Create the chat completion function to handle OpenAI interactions:
Create a helper function for message creation:
Set up the Linkup integration with search and formatting functions:
Configure Function Calling Tools
Define the tools that OpenAI can use to interact with Linkup:
Implement the Chatbot Interaction
Create the main chatbot interaction function:
Test Your Integration
Try out your chatbot with a sample query:
Best Practices
- Error Handling: Always implement proper error handling for API calls and tool executions.
- Rate Limiting: Be mindful of API rate limits for both OpenAI and Linkup.
- Security: Never expose API keys in your code. Use environment variables or secure secret management.
- Response Formatting: Consider customizing the
format_linkup_response
function to better suit your needs. - System Messages: Use appropriate system messages to guide the model’s behavior and responses.
Conclusion
This integration allows you to combine OpenAI’s powerful language understanding with Linkup’s real-time web search capabilities. You can now create applications that provide up-to-date information while maintaining the model’s natural language processing abilities.
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