"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`]()."
"LangChain provides streaming support for LLMs. Currently, we support streaming for the `OpenAI`, `ChatOpenAI`. and `Anthropic` implementations, 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`]()."
"resp = llm(\"Write me a song about sparkling water.\")"
]
@ -86,7 +95,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 4,
"id": "a35373f1-9ee6-4753-a343-5aee749b8527",
"metadata": {
"tags": []
@ -105,10 +114,10 @@
{
"data": {
"text/plain": [
"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': {}})"
"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': {}, 'model_name': 'text-davinci-003'})"
]
},
"execution_count": 6,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@ -122,12 +131,12 @@
"id": "a93a4d61-0476-49db-8321-7de92bd74059",
"metadata": {},
"source": [
"Here's an example with `ChatOpenAI`:"
"Here's an example with the `ChatOpenAI` chat model implementation:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 6,
"id": "22665f16-e05b-473c-a4bd-ad75744ea024",
"metadata": {
"tags": []
@ -137,49 +146,47 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\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",
"Clear and crisp, it's oh so pure\n",
"Sparkling water, I can't ignore\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",
"Sparkling water, oh how you shine\n",
"A taste so clean, it's simply divine\n",
"You quench my thirst, you make me feel alive\n",
"Sparkling water, you're my favorite 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",
"No sugar, no calories, just H2O\n",
"A drink that's good for me, don't you know\n",
"With lemon or lime, you're even better\n",
"Sparkling water, you're my forever\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",
"Sparkling water, oh how you shine\n",
"A taste so clean, it's simply divine\n",
"You quench my thirst, you make me feel alive\n",
"Sparkling water, you're my favorite 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",
"You're my go-to drink, day or night\n",
"You make me feel so light\n",
"I'll never give you up, you're my true love\n",
"Sparkling water, you're sent from above\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",
"Sparkling water, oh how you shine\n",
"A taste so clean, it's simply divine\n",
"You quench my thirst, you make me feel alive\n",
"Sparkling water, you're my favorite 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",
"Sparkling"
"Sparkling water, you're the one for me\n",
"I'll never let you go, can't you see\n",
"You're my drink of choice, forevermore\n",
"Sparkling water, I adore."
]
}
],
@ -188,13 +195,59 @@
"resp = chat([HumanMessage(content=\"Write me a song about sparkling water.\")])"
]
},
{
"cell_type": "markdown",
"id": "909ae48b-0f07-4990-bbff-e627f706c93e",
"metadata": {},
"source": [
"Here is an example with the `Anthropic` LLM implementation, which uses their `claude` model."
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"id": "eadae4ba-9f21-4ec8-845d-dd43b0edc2dc",
"metadata": {},
"outputs": [],
"source": []
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Sparkling water, bubbles so bright,\n",
"\n",
"Fizzing and popping in the light.\n",
"\n",
"No sugar or calories, a healthy delight,\n",
"\n",
"Sparkling water, refreshing and light.\n",
"\n",
"Carbonation that tickles the tongue,\n",
"\n",
"In flavors of lemon and lime unsung.\n",
"\n",
"Sparkling water, a drink quite all right,\n",
"\n",
"Bubbles sparkling in the light."
]
},
{
"data": {
"text/plain": [
"'\\nSparkling water, bubbles so bright,\\n\\nFizzing and popping in the light.\\n\\nNo sugar or calories, a healthy delight,\\n\\nSparkling water, refreshing and light.\\n\\nCarbonation that tickles the tongue,\\n\\nIn flavors of lemon and lime unsung.\\n\\nSparkling water, a drink quite all right,\\n\\nBubbles sparkling in the light.'"
Ankush Gola
1 year ago
committed by
GitHub