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A Generative AI Engineer has completed development of a RAG-based assistant to support IT helpdesk agents. The assistant relies on: A foundation model from a model hub A domain-specific embedding model A retriever connected to Mosaic AI Vector Search A custom chain written using LangChain The team now wants to deploy this assistant as an endpoint and track traffic, latency, and user interactions. The endpoint must support real-time requests from both a web UI and internal APIs. Which deployment and observability approach should the engineer choose?