Building a persistent conversational AI chatbot with Temporal

What this post added

This post details the technical implementation of a persistent, infinitely scalable chatbot using Temporal Workflows. It outlines the functional and non-functional requirements for such a system, contrasts it with traditional stateful chatbot architectures, and presents a Temporal-based design where each conversation is a Workflow. Key technical aspects include using Signals for message processing, Activities for interacting with LLMs and external tools, and leveraging Temporal's durable execution for resilience against failures, restarts, and scaling events. The post also discusses the benefits of this approach, such as simplified state management, infinite scalability, resilient workflows, maintainable design, rich context management, transparent state inspection, and robust error handling.