@Kavish Certainly! The choice between using a Client SDK and a Server SDK for your AI cold-calling SaaS depends on the architecture of your application and where you intend to handle most of the processing and API interactions. Client SDK: - Use this when you want to implement features directly within the client application, such as a mobile app or web browser. - It's suitable for operations that require immediate interaction with the user's device, like capturing voice input or playing audio. - It can reduce server load by offloading processing to the client side. - However, it may have limitations due to the client device's processing power or security constraints. Server SDK: - Use this when you need to handle complex processing or maintain control over the interactions, such as managing voice calls, processing speech-to-text, or orchestrating multiple API calls. - It's suitable for operations that require more computing power or when you need to keep sensitive data and logic on the server. - It can provide better security, as sensitive operations are not exposed on the client side. - However, it may increase server load and require more robust server infrastructure. For an AI cold-calling SaaS, a Server SDK might be more appropriate because: - You'll likely need to manage multiple simultaneous calls and handle complex logic that is best done on the server. - You can maintain better control over the call flow and the AI's responses. - It allows for easier scaling as your user base grows. Ultimately, the best SDK to use depends on your specific requirements, including performance, scalability, security, and the user experience you want to provide. You might even find that a combination of both Client and Server SDKs is the best approach for your service.

Got it. Tagging @User for additional help.

Got it. Tagging @User for additional help.

Got it. Tagging @User for additional help.