OpenAI API Function Calling Example
This script demonstrates the usage of OpenAI API Function Calling feature. It showcases how to utilize function descriptions, customizing the API, and provides various use cases for OpenAI API Function Calls.
Customizing the API
To customize the API for your specific use case, you can follow these steps:
- Clone Copy main.py
- Install the necessary dependencies.
- Set up your OpenAI API credentials: Create an OpenAI API key and set it as the value for
- Customize the code: Modify the function descriptions, add your own functions, or adapt the existing functions to suit your needs.
- Run the application: Execute the script by running
- Interact with the application: Follow the prompts and provide input to test the OpenAI API Function Calls.
Feel free to explore and modify the code to fit your requirements!
Use Cases for OpenAI API Function Calls
OpenAI API Function Calls offer a range of use cases to enhance conversational AI. Some notable examples include:
Weather Information Retrieval
This is the default example provided by OpenAi, so I thought I'd use it. By utilizing OpenAI API Function Calls, you can create weather information retrieval systems. The model can call external weather APIs based on user inputs, such as location and temperature unit, and provide up-to-date weather details including temperature, description, and more.
With OpenAI API Function Calls, you can create interactive multi-turn dialogs. The model can maintain context and carry out meaningful conversations with users. You can set up conversational flows where the model responds appropriately based on user inputs and past interactions.
Chain of Thought
OpenAI API Function Calls enable a chain of thought, allowing the model to reason and process complex sequences of instructions. Users can provide step-by-step guidance, and the model can intelligently follow and execute those instructions, providing accurate responses based on the context.
Reasoning and Inference
OpenAI API Function Calls empower the model to perform reasoning and inference tasks. Users can pose questions or present scenarios, and the model can utilize external tools or APIs to gather relevant information, analyze data, and provide insightful responses.
These are just a few examples of the versatility and power of OpenAI API Function Calls. Explore the possibilities and leverage this feature to build intelligent conversational systems, interactive applications, and data-driven solutions.
Please note that the code in this repository is provided as an example and may require customization and adaptation to suit your specific use case.