流式

一些聊天模型提供流式响应。这意味着你可以在整个响应返回之前就开始处理它，而不是等待整个响应返回。如果你想要在生成响应时将其显示给用户，或者在生成响应时处理响应，这将非常有用。

from langchain.chat_models import ChatOpenAI
from langchain.schema import (
    HumanMessage,
)


from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
chat = ChatOpenAI(streaming=True, callbacks=[StreamingStdOutCallbackHandler()], temperature=0)
resp = chat([HumanMessage(content="Write me a song about sparkling water.")])

    Verse 1:
    Bubbles rising to the top
    A refreshing drink that never stops
    Clear and crisp, it's pure delight
    A taste that's sure to excite
    
    Chorus:
    Sparkling water, oh so fine
    A drink that's always on my mind
    With every sip, I feel alive
    Sparkling water, you're my vibe
    
    Verse 2:
    No sugar, no calories, just pure bliss
    A drink that's hard to resist
    It's the perfect way to quench my thirst
    A drink that always comes first
    
    Chorus:
    Sparkling water, oh so fine
    A drink that's always on my mind
    With every sip, I feel alive
    Sparkling water, you're my vibe
    
    Bridge:
    From the mountains to the sea
    Sparkling water, you're the key
    To a healthy life, a happy soul
    A drink that makes me feel whole
    
    Chorus:
    Sparkling water, oh so fine
    A drink that's always on my mind
    With every sip, I feel alive
    Sparkling water, you're my vibe
    
    Outro:
    Sparkling water, you're the one
    A drink that's always so much fun
    I'll never let you go, my friend
    Sparkling