I’m working with a multi-agent setup using the Supervisor Architecture in LangGraph. In this setup: A supervisor agent orchestrates the workflow It delegates tasks to child agents Multiple internal messages are exchanged between agents before producing a final answer Problem When using streaming , I receive a sequence of chunks, but I currently have no clear way to distinguish between: Internal reasoning / intermediate agent communication Final user-facing response generated by the supervisor This makes it difficult to: Properly render only the final response in the UI Avoid exposing internal agent reasoning/messages Build a clean streaming UX for end users Expected Behavior It would be helpful to have a built-in or recommended way to: Tag or identify chunks as: internal (agent-to-agent communication) final (user-facing output) Or otherwise distinguish: Supervisor final response vs intermediate agent outputs Questions Is there a recommended pattern to differentiate these chunks when streaming? Are there metadata fields, message types, or callbacks that can be used for this? Is this something planned for native support in LangGraph? 1 post - 1 participant Read full topic