I've discovered a great tool with significant potential for Quality Assurance automation. As an automation engineer, I've been assigned to create a Proof of Concept (POC). However, my company has restricted direct access to OpenAI's services. Instead, we use an internal system called SAIS, where our AI team has developed APIs that interface with OpenAI. This SAIS model requires us to pass all necessary information through our internal infrastructure.
I need guidance on implementing this integration - specifically, how to modify the implementation to call our internal API endpoints instead of using OpenAI's API directly with their authentication tokens. The internal API would then handle the communication with the AI service and return the responses."
Would you like me to help you understand potential approaches for implementing this? I can outline some strategies for:
I've discovered a great tool with significant potential for Quality Assurance automation. As an automation engineer, I've been assigned to create a Proof of Concept (POC). However, my company has restricted direct access to OpenAI's services. Instead, we use an internal system called SAIS, where our AI team has developed APIs that interface with OpenAI. This SAIS model requires us to pass all necessary information through our internal infrastructure. I need guidance on implementing this integration - specifically, how to modify the implementation to call our internal API endpoints instead of using OpenAI's API directly with their authentication tokens. The internal API would then handle the communication with the AI service and return the responses." Would you like me to help you understand potential approaches for implementing this? I can outline some strategies for: