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"# Streaming with LLMs\n",
"\n",
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"LangChain provides streaming support for LLMs. Currently, we only support streaming for the `OpenAI` and `ChatOpenAI` LLM implementation, but streaming support for other LLM implementations is on the roadmap. To utilize streaming, use a [`CallbackHandler`](https://github.com/hwchase17/langchain/blob/master/langchain/callbacks/base.py) that implements `on_llm_new_token`. In this example, we are using [`StreamingStdOutCallbackHandler`]()."
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"name": "stdout",
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"text": [
"\n",
"\n",
"Verse 1\n",
"I'm sippin' on sparkling water,\n",
"It's so refreshing and light,\n",
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"It's the perfect way to quench my thirst\n",
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"On a hot summer night.\n",
"\n",
"Chorus\n",
"Sparkling water, sparkling water,\n",
"It's the best way to stay hydrated,\n",
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"It's so crisp and so clean,\n",
"It's the perfect way to stay refreshed.\n",
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"\n",
"Verse 2\n",
"I'm sippin' on sparkling water,\n",
"It's so bubbly and bright,\n",
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"It's the perfect way to cool me down\n",
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"On a hot summer night.\n",
"\n",
"Chorus\n",
"Sparkling water, sparkling water,\n",
"It's the best way to stay hydrated,\n",
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"It's so crisp and so clean,\n",
"It's the perfect way to stay refreshed.\n",
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"\n",
"Verse 3\n",
"I'm sippin' on sparkling water,\n",
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"It's so light and so clear,\n",
"It's the perfect way to keep me cool\n",
"On a hot summer night.\n",
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"\n",
"Chorus\n",
"Sparkling water, sparkling water,\n",
"It's the best way to stay hydrated,\n",
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"It's so crisp and so clean,\n",
"It's the perfect way to stay refreshed."
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]
}
],
"source": [
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"from langchain.llms import OpenAI\n",
"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.callbacks.base import CallbackManager\n",
"from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
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"from langchain.schema import HumanMessage\n",
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"\n",
"\n",
"llm = OpenAI(streaming=True, callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]), verbose=True, temperature=0)\n",
"resp = llm(\"Write me a song about sparkling water.\")"
]
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"source": [
"We still have access to the end `LLMResult` if using `generate`. However, `token_usage` is not currently supported for streaming."
]
},
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"execution_count": 6,
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"id": "a35373f1-9ee6-4753-a343-5aee749b8527",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"Q: What did the fish say when it hit the wall?\n",
"A: Dam!"
]
},
{
"data": {
"text/plain": [
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"LLMResult(generations=[[Generation(text='\\n\\nQ: What did the fish say when it hit the wall?\\nA: Dam!', generation_info={'finish_reason': None, 'logprobs': None})]], llm_output={'token_usage': {}})"
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]
},
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"execution_count": 6,
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"metadata": {},
"output_type": "execute_result"
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"source": [
"llm.generate([\"Tell me a joke.\"])"
]
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"Here's an example with `ChatOpenAI`:"
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]
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"\n",
"\n",
"Verse 1:\n",
"Bubbles rising to the top\n",
"A refreshing drink that never stops\n",
"Clear and crisp, it's pure delight\n",
"A taste that's sure to excite\n",
"\n",
"Chorus:\n",
"Sparkling water, oh so fine\n",
"A drink that's always on my mind\n",
"With every sip, I feel alive\n",
"Sparkling water, you're my vibe\n",
"\n",
"Verse 2:\n",
"No sugar, no calories, just pure bliss\n",
"A drink that's hard to resist\n",
"It's the perfect way to quench my thirst\n",
"A drink that always comes first\n",
"\n",
"Chorus:\n",
"Sparkling water, oh so fine\n",
"A drink that's always on my mind\n",
"With every sip, I feel alive\n",
"Sparkling water, you're my vibe\n",
"\n",
"Bridge:\n",
"From the mountains to the sea\n",
"Sparkling water, you're the key\n",
"To a healthy life, a happy soul\n",
"A drink that makes me feel whole\n",
"\n",
"Chorus:\n",
"Sparkling water, oh so fine\n",
"A drink that's always on my mind\n",
"With every sip, I feel alive\n",
"Sparkling water, you're my vibe\n",
"\n",
"Outro:\n",
"Sparkling water, you're the one\n",
"A drink that's always so much fun\n",
"I'll never let you go, my friend\n",
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"Sparkling"
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]
}
],
"source": [
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"chat = ChatOpenAI(streaming=True, callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]), verbose=True, temperature=0)\n",
"resp = chat([HumanMessage(content=\"Write me a song about sparkling water.\")])"
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]
},
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