LangGraph has introduced a Functional API, available in Python and JavaScript, to simplify the integration of its core features—such as human-in-the-loop, persistence/memory, and streaming—without requiring the explicit definition of a graph. This new API allows developers to utilize LangGraph's capabilities using a more conventional programming paradigm and is designed to work seamlessly alongside the existing Graph API. It features two main components: 'entrypoint' and 'task' decorators, which facilitate the definition of workflows using standard functions, loops, and conditionals. This flexibility supports the creation of AI workflows that incorporate human feedback, manage short-term and long-term memory, and provide real-time updates. The Functional API also offers built-in observability for monitoring workflows and supports deployment on the LangGraph Platform, enabling developers to construct complex applications that synergize automation with human intervention effectively.