langchain/docs/extras/modules/callbacks/how_to/token_counting.ipynb

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{
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"# Token counting\n",
"LangChain offers a context manager that allows you to count tokens."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "195fd686",
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"source": [
"import asyncio\n",
"\n",
"from langchain.callbacks import get_openai_callback\n",
"from langchain.llms import OpenAI\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"with get_openai_callback() as cb:\n",
" llm(\"What is the square root of 4?\")\n",
"\n",
"total_tokens = cb.total_tokens\n",
"assert total_tokens > 0\n",
"\n",
"with get_openai_callback() as cb:\n",
" llm(\"What is the square root of 4?\")\n",
" llm(\"What is the square root of 4?\")\n",
"\n",
"assert cb.total_tokens == total_tokens * 2\n",
"\n",
"# You can kick off concurrent runs from within the context manager\n",
"with get_openai_callback() as cb:\n",
" await asyncio.gather(\n",
" *[llm.agenerate([\"What is the square root of 4?\"]) for _ in range(3)]\n",
" )\n",
"\n",
"assert cb.total_tokens == total_tokens * 3\n",
"\n",
"# The context manager is concurrency safe\n",
"task = asyncio.create_task(llm.agenerate([\"What is the square root of 4?\"]))\n",
"with get_openai_callback() as cb:\n",
" await llm.agenerate([\"What is the square root of 4?\"])\n",
"\n",
"await task\n",
"assert cb.total_tokens == total_tokens"
]
},
{
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