Llama Deploy reference architecture for Enterprise deployment

[hz6yc3]

Hi, I am looking for some reference architecture on setting up Llama deploy for enterprise purposes. We are looking to create a no-code set up with a UI experience layer for users to create, evaluate and deploy agents for various use cases. We are already have enabled vector store, secure connection to OpenAI/AWS Bedrock models, Mem0 for long-term memory, Redis Chat Store, Langfuse for Observability, enterprise CI/CD set up etc but I am looking for scalable and user friendly approach to connect these different infra components for creating and deploying agents. Are there any reference architectures that people can share or high level ideas on how they have implemented for their enterprise