mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
d3ec00b566
Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
321 lines
15 KiB
Plaintext
321 lines
15 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "6fb92deb-d89e-439b-855d-c7f2607d794b",
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"metadata": {},
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"source": [
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"# How to use the async API for Agents\n",
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"\n",
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"LangChain provides async support for Agents by leveraging the [asyncio](https://docs.python.org/3/library/asyncio.html) library.\n",
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"\n",
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"Async methods are currently supported for the following `Tools`: [`SerpAPIWrapper`](https://github.com/hwchase17/langchain/blob/master/langchain/serpapi.py) and [`LLMMathChain`](https://github.com/hwchase17/langchain/blob/master/langchain/chains/llm_math/base.py). Async support for other agent tools are on the roadmap.\n",
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"\n",
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"For `Tool`s that have a `coroutine` implemented (the two mentioned above), the `AgentExecutor` will `await` them directly. Otherwise, the `AgentExecutor` will call the `Tool`'s `func` via `asyncio.get_event_loop().run_in_executor` to avoid blocking the main runloop.\n",
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"\n",
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"You can use `arun` to call an `AgentExecutor` asynchronously."
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]
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},
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{
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"cell_type": "markdown",
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"id": "97800378-cc34-4283-9bd0-43f336bc914c",
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"metadata": {},
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"source": [
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"## Serial vs. Concurrent Execution\n",
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"\n",
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"In this example, we kick off agents to answer some questions serially vs. concurrently. You can see that concurrent execution significantly speeds this up."
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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": 7,
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"id": "da5df06c-af6f-4572-b9f5-0ab971c16487",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import asyncio\n",
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"import time\n",
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"\n",
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"from langchain.agents import initialize_agent, load_tools\n",
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"from langchain.agents import AgentType\n",
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"from langchain.llms import OpenAI\n",
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"from langchain.callbacks.stdout import StdOutCallbackHandler\n",
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"from langchain.callbacks.tracers import LangChainTracer\n",
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"from aiohttp import ClientSession\n",
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"\n",
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"questions = [\n",
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" \"Who won the US Open men's final in 2019? What is his age raised to the 0.334 power?\",\n",
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" \"Who is Olivia Wilde's boyfriend? What is his current age raised to the 0.23 power?\",\n",
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" \"Who won the most recent formula 1 grand prix? What is their age raised to the 0.23 power?\",\n",
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" \"Who won the US Open women's final in 2019? What is her age raised to the 0.34 power?\",\n",
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" \"Who is Beyonce's husband? What is his age raised to the 0.19 power?\"\n",
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"]"
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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": 8,
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"id": "fd4c294e-b1d6-44b8-b32e-2765c017e503",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open men's final in 2019 and then calculate his age raised to the 0.334 power.\n",
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"Action: Search\n",
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"Action Input: \"US Open men's final 2019 winner\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal defeated Daniil Medvedev in the final, 7–5, 6–3, 5–7, 4–6, 6–4 to win the men's singles tennis title at the 2019 US Open. It was his fourth US ...\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
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"Action: Search\n",
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"Action Input: \"Rafael Nadal age\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m36 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate his age raised to the 0.334 power\n",
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"Action: Calculator\n",
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"Action Input: 36^0.334\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
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"Final Answer: Rafael Nadal, aged 36, won the US Open men's final in 2019 and his age raised to the 0.334 power is 3.3098250249682484.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
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"Action: Search\n",
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"Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mOlivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — see their relationship timeline.\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out Harry Styles' age.\n",
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"Action: Search\n",
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"Action Input: \"Harry Styles age\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m29 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 29 raised to the 0.23 power.\n",
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"Action: Calculator\n",
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"Action Input: 29^0.23\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.169459462491557\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
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"Final Answer: Harry Styles, Olivia Wilde's boyfriend, is 29 years old and his age raised to the 0.23 power is 2.169459462491557.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who won the grand prix and then calculate their age raised to the 0.23 power.\n",
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"Action: Search\n",
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"Action Input: \"Formula 1 Grand Prix Winner\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mMichael Schumacher (top left) and Lewis Hamilton (top right) have each won the championship a record seven times during their careers, while Sebastian Vettel ( ...\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
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"Action: Search\n",
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"Action Input: \"Michael Schumacher age\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m54 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate the age raised to the 0.23 power\n",
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"Action: Calculator\n",
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"Action Input: 54^0.23\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.502940725307012\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
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"Final Answer: Michael Schumacher, aged 54, raised to the 0.23 power is 2.502940725307012.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open women's final in 2019 and then calculate her age raised to the 0.34 power.\n",
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"Action: Search\n",
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"Action Input: \"US Open women's final 2019 winner\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out her age\n",
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"Action: Search\n",
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"Action Input: \"Bianca Andreescu age\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m22 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate her age raised to the 0.34 power\n",
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"Action: Calculator\n",
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"Action Input: 22^0.34\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
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"Final Answer: Bianca Andreescu, aged 22, won the US Open women's final in 2019 and her age raised to the 0.34 power is 2.86.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who Beyonce's husband is and then calculate his age raised to the 0.19 power.\n",
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"Action: Search\n",
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"Action Input: \"Who is Beyonce's husband?\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mJay-Z\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out Jay-Z's age\n",
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"Action: Search\n",
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"Action Input: \"How old is Jay-Z?\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m53 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 53 raised to the 0.19 power\n",
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"Action: Calculator\n",
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"Action Input: 53^0.19\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
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"Final Answer: Jay-Z is Beyonce's husband and his age raised to the 0.19 power is 2.12624064206896.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"Serial executed in 52.47 seconds.\n"
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]
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}
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],
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"source": [
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
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"agent = initialize_agent(\n",
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" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
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")\n",
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"\n",
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"s = time.perf_counter()\n",
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"for q in questions:\n",
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" agent.run(q)\n",
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"elapsed = time.perf_counter() - s\n",
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"print(f\"Serial executed in {elapsed:0.2f} seconds.\")"
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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": 9,
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"id": "076d7b85-45ec-465d-8b31-c2ad119c3438",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open women's final in 2019 and then calculate her age raised to the 0.34 power.\n",
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"Action: Search\n",
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"Action Input: \"US Open women's final 2019 winner\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out who won the US Open men's final in 2019 and then calculate his age raised to the 0.334 power.\n",
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"Action: Search\n",
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"Action Input: \"US Open men's final 2019 winner\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal defeated Daniil Medvedev in the final, 7–5, 6–3, 5–7, 4–6, 6–4 to win the men's singles tennis title at the 2019 US Open. It was his fourth US ...\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
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"Action: Search\n",
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"Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who won the grand prix and then calculate their age raised to the 0.23 power.\n",
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"Action: Search\n",
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"Action Input: \"Formula 1 Grand Prix Winner\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who Beyonce's husband is and then calculate his age raised to the 0.19 power.\n",
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"Action: Search\n",
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"Action Input: \"Who is Beyonce's husband?\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3mOlivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — see their relationship timeline.\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[33;1m\u001b[1;3mJay-Z\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[33;1m\u001b[1;3mMichael Schumacher (top left) and Lewis Hamilton (top right) have each won the championship a record seven times during their careers, while Sebastian Vettel ( ...\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out her age\n",
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"Action: Search\n",
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"Action Input: \"Bianca Andreescu age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out Jay-Z's age\n",
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"Action: Search\n",
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"Action Input: \"How old is Jay-Z?\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m53 years\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[33;1m\u001b[1;3m22 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to find out Harry Styles' age.\n",
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"Action: Search\n",
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"Action Input: \"Harry Styles age\"\u001b[0m\n",
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"Observation: \u001b[33;1m\u001b[1;3m29 years\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate her age raised to the 0.34 power\n",
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"Action: Calculator\n",
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"Action Input: 22^0.34\u001b[0m\u001b[32;1m\u001b[1;3m I need to calculate 53 raised to the 0.19 power\n",
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"Action: Calculator\n",
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"Action Input: 53^0.19\u001b[0m\u001b[32;1m\u001b[1;3m I need to calculate 29 raised to the 0.23 power.\n",
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"Action: Calculator\n",
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"Action Input: 29^0.23\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
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"Action: Search\n",
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"Action Input: \"Rafael Nadal age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
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"Action: Search\n",
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"Action Input: \"Michael Schumacher age\"\u001b[0m\n",
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"Observation: \n",
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"Observation: \u001b[33;1m\u001b[1;3m36 years\u001b[0m\n",
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"Thought:\u001b[33;1m\u001b[1;3m54 years\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.169459462491557\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I need to calculate the age raised to the 0.334 power\n",
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"Action: Calculator\n",
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"Action Input: 36^0.334\u001b[0m\u001b[32;1m\u001b[1;3m I now need to calculate the age raised to the 0.23 power\n",
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"Action: Calculator\n",
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"Action Input: 54^0.23\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\u001b[0m\n",
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"Thought:\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.502940725307012\u001b[0m\n",
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"Thought:\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"Concurrent executed in 14.49 seconds.\n"
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]
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}
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],
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"source": [
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
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"agent = initialize_agent(\n",
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" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
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")\n",
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"\n",
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"s = time.perf_counter()\n",
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"# If running this outside of Jupyter, use asyncio.run or loop.run_until_complete\n",
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"tasks = [agent.arun(q) for q in questions]\n",
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"await asyncio.gather(*tasks)\n",
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"elapsed = time.perf_counter() - s\n",
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"print(f\"Concurrent executed in {elapsed:0.2f} seconds.\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.10.9"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|