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add everyting for docs
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docs/extras/modules/callbacks/token_counting.ipynb
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84
docs/extras/modules/callbacks/token_counting.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "5b0a26fc",
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"metadata": {},
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"source": [
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"# Token counting\n",
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"LangChain offers a context manager that allows you to count tokens."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "195fd686",
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"metadata": {},
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"outputs": [],
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"source": [
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"import asyncio\n",
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"\n",
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"from langchain.callbacks import get_openai_callback\n",
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"from langchain.llms import OpenAI\n",
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"\n",
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"llm = OpenAI(temperature=0)\n",
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"with get_openai_callback() as cb:\n",
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" llm(\"What is the square root of 4?\")\n",
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"\n",
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"total_tokens = cb.total_tokens\n",
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"assert total_tokens > 0\n",
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"\n",
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"with get_openai_callback() as cb:\n",
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" llm(\"What is the square root of 4?\")\n",
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" llm(\"What is the square root of 4?\")\n",
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"\n",
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"assert cb.total_tokens == total_tokens * 2\n",
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"\n",
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"# You can kick off concurrent runs from within the context manager\n",
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"with get_openai_callback() as cb:\n",
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" await asyncio.gather(\n",
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" *[llm.agenerate([\"What is the square root of 4?\"]) for _ in range(3)]\n",
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" )\n",
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"\n",
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"assert cb.total_tokens == total_tokens * 3\n",
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"\n",
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"# The context manager is concurrency safe\n",
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"task = asyncio.create_task(llm.agenerate([\"What is the square root of 4?\"]))\n",
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"with get_openai_callback() as cb:\n",
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" await llm.agenerate([\"What is the square root of 4?\"])\n",
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"\n",
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"await task\n",
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"assert cb.total_tokens == total_tokens"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5e94e0d3",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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"language": "python",
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"name": "venv"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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