Creating an API with AWS Lambda and associated components allows for a pay-as-you-go model, enhancing maintainability, supporting updates, and ensuring backward compatibility.
Each component, like the GPT Action Entity and GPT Action Logic, can be developed independently using Bit components, allowing for isolated testing and smoother integration into the overall architecture.
The GPT action connects the API with ChatGPT to interpret and respond to weather requests seamlessly, leveraging structured weather data retrieved from external sources.
Developing the GPT Action Entity involves defining a Weather interface that structures the weather information efficiently, ensuring compatibility with various weather data APIs.
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