Goal I’m using Python and would like to use streaming output (LLM token streaming output, i.e., stream_mode=“messages”) and use it with human-in-the-loop. 环境 langchain 0.3.27 langchain-core 0.3.76 langchain-openai 0.3.33 langchain-text-splitters 0.3.11 langgraph…

@zjt148680 I made this (both messages and updates are streamable): import os from dotenv import load_dotenv from typing import Annotated from langchain.chat_models import init_chat_model from langchain_core.messages import HumanMessage from langchain_core.tools import tool from langgraph.checkp…

Hi @zjt148680 have you tried this approach: def stream_graph(user_input: str, thread_id: str): config = {"configurable": {"thread_id": thread_id}} # First invocation uses the user's message. Resumes use Command(...) pending_input = {"messages": [{"role": "user", "content": user_input}…

How to use human-in-the-loop with stream_mode="messages"

OSS Product Help LangGraph

zjt148680 September 26, 2025, 2:23am 4

it works,thanks @pawel-twardziak

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How to use human-in-the-loop with stream_mode="messages"

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