Unexpected Multiple content Blocks Returned by LLM Inside LangGraph I’m experiencing a behavior I can’t fully understand. I have a langgraph project, where I my main graph, and multiple subgraphs, which consist of an agent node and tools node. Each agent node, eventually invokes an LLM (AzureChatO…

Hi @sagi.l It seems to be expected behaviour when you use GPT-5 or GPT-5.1 https://platform.openai.com/docs/guides/reasoning#reasoning-summaries Azure OpenAI reasoning models - GPT-5 series, o3-mini, o1, o1-mini - Azure OpenAI | Microsoft Learn

Hi, thanks for the reply Unfortunately it doesn’t really answer my question. I don’t pass the summary to the reasoning attribute in AzureChatOpenAI Even if it’s passed by default, Langfuse logged this in the trace as another item in the content list, and not as an independent attribute under “sum…

Mabe filtering by the index position will help? for block in message_obj.content: if isinstance(block, dict): if block.get("index", 0) == 0 and block.get("type") == "text": out_model.content += block.get("text", "") Most probably the regular content is with index 0 and the …

Naah, that might be a bad idea … still investigating

Reasoning tokens being returned in langgraph stream

OSS Product Help LangGraph

pawel-twardziak November 25, 2025, 4:21pm 4

I don’t know the answers yet, let me investigate for better understanding

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Reasoning tokens being returned in langgraph stream

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