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How can you combine streaming with LangChain memory to update chat history live during streaming?

hard📝 Application Q9 of 15
LangChain - Production Deployment
How can you combine streaming with LangChain memory to update chat history live during streaming?
AUse prompt templates to store tokens in memory.
BUpdate memory only after the full response is received.
CUpdate memory inside the on_llm_new_token callback as tokens arrive.
DDisable streaming and update memory per message.
Step-by-Step Solution
Solution:
  1. Step 1: Understand streaming with memory

    Memory should reflect conversation as it happens, not just after completion.
  2. Step 2: Identify live update method

    Updating memory inside on_llm_new_token callback allows live chat history updates.
  3. Final Answer:

    Update memory inside the on_llm_new_token callback as tokens arrive. -> Option C
  4. Quick Check:

    Streaming + memory = update live in callback [OK]
Quick Trick: Update memory live inside token callback for real-time chat [OK]
Common Mistakes:
MISTAKES
  • Waiting for full response delays memory update
  • Disabling streaming loses live updates
  • Using prompt templates incorrectly for memory

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