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https://github.com/hwchase17/langchain.git
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Google Search API integration with serper.dev (wrapper, tests, docs, … (#909)
Adds Google Search integration with [Serper](https://serper.dev) a low-cost alternative to SerpAPI (10x cheaper + generous free tier). Includes documentation, tests and examples. Hopefully I am not missing anything. Developers can sign up for a free account at [serper.dev](https://serper.dev) and obtain an api key. ## Usage ```python from langchain.utilities import GoogleSerperAPIWrapper from langchain.llms.openai import OpenAI from langchain.agents import initialize_agent, Tool import os os.environ["SERPER_API_KEY"] = "" os.environ['OPENAI_API_KEY'] = "" llm = OpenAI(temperature=0) search = GoogleSerperAPIWrapper() tools = [ Tool( name="Intermediate Answer", func=search.run ) ] self_ask_with_search = initialize_agent(tools, llm, agent="self-ask-with-search", verbose=True) self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open champion?") ``` ### Output ``` Entering new AgentExecutor chain... Yes. Follow up: Who is the reigning men's U.S. Open champion? Intermediate answer: Current champions Carlos Alcaraz, 2022 men's singles champion. Follow up: Where is Carlos Alcaraz from? Intermediate answer: El Palmar, Spain So the final answer is: El Palmar, Spain > Finished chain. 'El Palmar, Spain' ```
This commit is contained in:
70
docs/ecosystem/google_serper.md
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70
docs/ecosystem/google_serper.md
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@@ -0,0 +1,70 @@
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# Google Serper Wrapper
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This page covers how to use the [Serper](https://serper.dev) Google Search API within LangChain. Serper is a low-cost Google Search API that can be used to add answer box, knowledge graph, and organic results data from Google Search.
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It is broken into two parts: setup, and then references to the specific Google Serper wrapper.
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## Setup
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- Go to [serper.dev](https://serper.dev) to sign up for a free account
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- Get the api key and set it as an environment variable (`SERPER_API_KEY`)
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## Wrappers
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### Utility
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There exists a GoogleSerperAPIWrapper utility which wraps this API. To import this utility:
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```python
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from langchain.utilities import GoogleSerperAPIWrapper
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```
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You can use it as part of a Self Ask chain:
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```python
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from langchain.utilities import GoogleSerperAPIWrapper
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from langchain.llms.openai import OpenAI
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from langchain.agents import initialize_agent, Tool
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import os
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os.environ["SERPER_API_KEY"] = ""
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os.environ['OPENAI_API_KEY'] = ""
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llm = OpenAI(temperature=0)
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search = GoogleSerperAPIWrapper()
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tools = [
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Tool(
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name="Intermediate Answer",
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func=search.run
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)
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]
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self_ask_with_search = initialize_agent(tools, llm, agent="self-ask-with-search", verbose=True)
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self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open champion?")
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```
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#### Output
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```
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Entering new AgentExecutor chain...
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Yes.
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Follow up: Who is the reigning men's U.S. Open champion?
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Intermediate answer: Current champions Carlos Alcaraz, 2022 men's singles champion.
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Follow up: Where is Carlos Alcaraz from?
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Intermediate answer: El Palmar, Spain
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So the final answer is: El Palmar, Spain
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> Finished chain.
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'El Palmar, Spain'
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```
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For a more detailed walkthrough of this wrapper, see [this notebook](../modules/utils/examples/google_serper.ipynb).
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### Tool
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You can also easily load this wrapper as a Tool (to use with an Agent).
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You can do this with:
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```python
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from langchain.agents import load_tools
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tools = load_tools(["google-serper"])
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```
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For more information on this, see [this page](../modules/agents/tools.md)
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@@ -12,9 +12,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "e6860c2d",
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"metadata": {},
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"metadata": {
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"pycharm": {
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"is_executing": true
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}
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},
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"outputs": [],
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"source": [
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"from langchain.agents import load_tools\n",
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@@ -34,39 +38,40 @@
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},
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{
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"cell_type": "markdown",
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"id": "a09ca013",
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"metadata": {},
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"source": [
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"## SerpAPI\n",
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"## Google Serper API Wrapper\n",
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"\n",
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"First, let's use the SerpAPI tool."
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]
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"First, let's try to use the Google Serper API tool."
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],
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"metadata": {
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"collapsed": false
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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": 4,
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"id": "dd4ce6d9",
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"metadata": {},
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"outputs": [],
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"source": [
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"tools = load_tools([\"serpapi\"], llm=llm)"
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]
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"tools = load_tools([\"google-serper\"], llm=llm)"
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],
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"metadata": {
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"collapsed": false
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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": 5,
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"id": "ef63bb84",
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"metadata": {},
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"outputs": [],
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"source": [
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"agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
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]
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],
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"metadata": {
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"collapsed": false
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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": 6,
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"id": "53e24f5d",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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@@ -74,14 +79,14 @@
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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 what the current weather is in Pomfret.\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 what the current weather is in Pomfret.\n",
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"Action: Search\n",
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"Action Input: \"weather in Pomfret\"\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mShowers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the current weather in Pomfret.\n",
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"Final Answer: Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001b[0m\n",
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"\u001b[1m> Finished AgentExecutor chain.\u001b[0m\n"
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"Action Input: \"weather in Pomfret\"\u001B[0m\n",
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"Observation: \u001B[36;1m\u001B[1;3mShowers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001B[0m\n",
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"Thought:\u001B[32;1m\u001B[1;3m I now know the current weather in Pomfret.\n",
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"Final Answer: Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001B[0m\n",
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"\u001B[1m> Finished AgentExecutor chain.\u001B[0m\n"
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]
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},
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{
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@@ -97,43 +102,47 @@
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],
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"source": [
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"agent.run(\"What is the weather in Pomfret?\")"
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]
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],
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"metadata": {
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"collapsed": false
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}
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},
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{
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"cell_type": "markdown",
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"id": "8ef49137",
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"metadata": {},
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"source": [
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"## GoogleSearchAPIWrapper\n",
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"## SerpAPI\n",
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"\n",
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"Now, let's use the official Google Search API Wrapper."
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]
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"Now, let's use the SerpAPI tool."
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],
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"metadata": {
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"collapsed": false
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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": 13,
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"id": "3e9c7c20",
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"metadata": {},
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"execution_count": 4,
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"outputs": [],
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"source": [
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"tools = load_tools([\"google-search\"], llm=llm)"
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]
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"tools = load_tools([\"serpapi\"], llm=llm)"
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],
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"metadata": {
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"collapsed": false
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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": 14,
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"id": "b83624dc",
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"metadata": {},
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"execution_count": 5,
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"outputs": [],
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"source": [
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"agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
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]
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],
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"metadata": {
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"collapsed": false
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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": 17,
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"id": "9d5835e2",
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"metadata": {},
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"execution_count": 6,
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"outputs": [
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{
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"name": "stdout",
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@@ -141,14 +150,85 @@
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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 should look up the current weather conditions.\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 what the current weather is in Pomfret.\n",
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"Action: Search\n",
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"Action Input: \"weather in Pomfret\"\u001B[0m\n",
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"Observation: \u001B[36;1m\u001B[1;3mShowers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001B[0m\n",
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"Thought:\u001B[32;1m\u001B[1;3m I now know the current weather in Pomfret.\n",
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"Final Answer: Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001B[0m\n",
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"\u001B[1m> Finished AgentExecutor chain.\u001B[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.'"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"agent.run(\"What is the weather in Pomfret?\")"
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],
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"metadata": {
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"collapsed": false
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"## GoogleSearchAPIWrapper\n",
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"\n",
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"Now, let's use the official Google Search API Wrapper."
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],
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"metadata": {
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"collapsed": false
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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": 13,
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"outputs": [],
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"source": [
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"tools = load_tools([\"google-search\"], llm=llm)"
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],
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"metadata": {
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"collapsed": false
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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": 14,
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"outputs": [],
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"source": [
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"agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
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],
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"metadata": {
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"collapsed": false
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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": 17,
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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 should look up the current weather conditions.\n",
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"Action: Google Search\n",
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"Action Input: \"weather in Pomfret\"\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mShowers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%. Pomfret, CT Weather Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days. Hourly Weather-Pomfret, CT. As of 12:52 am EST. Special Weather Statement +2 ... Hazardous Weather Conditions. Special Weather Statement ... Pomfret CT. Tonight ... National Digital Forecast Database Maximum Temperature Forecast. Pomfret Center Weather Forecasts. Weather Underground provides local & long-range weather forecasts, weatherreports, maps & tropical weather conditions for ... Pomfret, CT 12 hour by hour weather forecast includes precipitation, temperatures, sky conditions, rain chance, dew-point, relative humidity, wind direction ... North Pomfret Weather Forecasts. Weather Underground provides local & long-range weather forecasts, weatherreports, maps & tropical weather conditions for ... Today's Weather - Pomfret, CT. Dec 31, 2022 4:00 PM. Putnam MS. --. Weather forecast icon. Feels like --. Hi --. Lo --. Pomfret, CT temperature trend for the next 14 Days. Find daytime highs and nighttime lows from TheWeatherNetwork.com. Pomfret, MD Weather Forecast Date: 332 PM EST Wed Dec 28 2022. The area/counties/county of: Charles, including the cites of: St. Charles and Waldorf.\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the current weather conditions in Pomfret.\n",
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"Final Answer: Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001b[0m\n",
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"\u001b[1m> Finished AgentExecutor chain.\u001b[0m\n"
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"Action Input: \"weather in Pomfret\"\u001B[0m\n",
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"Observation: \u001B[36;1m\u001B[1;3mShowers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%. Pomfret, CT Weather Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days. Hourly Weather-Pomfret, CT. As of 12:52 am EST. Special Weather Statement +2 ... Hazardous Weather Conditions. Special Weather Statement ... Pomfret CT. Tonight ... National Digital Forecast Database Maximum Temperature Forecast. Pomfret Center Weather Forecasts. Weather Underground provides local & long-range weather forecasts, weatherreports, maps & tropical weather conditions for ... Pomfret, CT 12 hour by hour weather forecast includes precipitation, temperatures, sky conditions, rain chance, dew-point, relative humidity, wind direction ... North Pomfret Weather Forecasts. Weather Underground provides local & long-range weather forecasts, weatherreports, maps & tropical weather conditions for ... Today's Weather - Pomfret, CT. Dec 31, 2022 4:00 PM. Putnam MS. --. Weather forecast icon. Feels like --. Hi --. Lo --. Pomfret, CT temperature trend for the next 14 Days. Find daytime highs and nighttime lows from TheWeatherNetwork.com. Pomfret, MD Weather Forecast Date: 332 PM EST Wed Dec 28 2022. The area/counties/county of: Charles, including the cites of: St. Charles and Waldorf.\u001B[0m\n",
|
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"Thought:\u001B[32;1m\u001B[1;3m I now know the current weather conditions in Pomfret.\n",
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"Final Answer: Showers early becoming a steady light rain later in the day. Near record high temperatures. High around 60F. Winds SW at 10 to 15 mph. Chance of rain 60%.\u001B[0m\n",
|
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"\u001B[1m> Finished AgentExecutor chain.\u001B[0m\n"
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]
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},
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{
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@@ -164,7 +244,10 @@
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],
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"source": [
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"agent.run(\"What is the weather in Pomfret?\")"
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]
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],
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"metadata": {
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"collapsed": false
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}
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}
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],
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"metadata": {
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|
@@ -119,3 +119,12 @@ Below is a list of all supported tools and relevant information:
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- Requires LLM: No
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- Extra Parameters: `google_api_key`, `google_cse_id`
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- For more information on this, see [this page](../../ecosystem/google_search.md)
|
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|
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**google-serper**
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- Tool Name: Search
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- Tool Description: A low-cost Google Search API. Useful for when you need to answer questions about current events. Input should be a search query.
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- Notes: Calls the [serper.dev](https://serper.dev) Google Search API and then parses results.
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- Requires LLM: No
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- Extra Parameters: `serper_api_key`
|
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- For more information on this, see [this page](../../ecosystem/google_serper.md)
|
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|
157
docs/modules/utils/examples/google_serper.ipynb
Normal file
157
docs/modules/utils/examples/google_serper.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": "dc23c48e",
|
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"metadata": {},
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"source": [
|
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"# Google Serper API\n",
|
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"\n",
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"This notebook goes over how to use the Google Serper component to search the web. First you need to sign up for a free account at [serper.dev](https://serper.dev) and get your api key."
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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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"outputs": [],
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"source": [
|
||||
"import os\n",
|
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"os.environ[\"SERPER_API_KEY\"] = \"\""
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],
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"metadata": {
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"collapsed": false
|
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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": 2,
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"id": "54bf5afd",
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||||
"metadata": {},
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||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain.utilities import GoogleSerperAPIWrapper"
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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": "31f8f382",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"search = GoogleSerperAPIWrapper()"
|
||||
]
|
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "25ce0225",
|
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"metadata": {},
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"outputs": [
|
||||
{
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||||
"data": {
|
||||
"text/plain": "'Barack Hussein Obama II'"
|
||||
},
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"search.run(\"Obama's first name?\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"## As part of a Self Ask With Search Chain"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"os.environ['OPENAI_API_KEY'] = \"\""
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
|
||||
"\u001B[32;1m\u001B[1;3m Yes.\n",
|
||||
"Follow up: Who is the reigning men's U.S. Open champion?\u001B[0m\n",
|
||||
"Intermediate answer: \u001B[36;1m\u001B[1;3mCurrent champions Carlos Alcaraz, 2022 men's singles champion.\u001B[0m\n",
|
||||
"\u001B[32;1m\u001B[1;3mFollow up: Where is Carlos Alcaraz from?\u001B[0m\n",
|
||||
"Intermediate answer: \u001B[36;1m\u001B[1;3mEl Palmar, Spain\u001B[0m\n",
|
||||
"\u001B[32;1m\u001B[1;3mSo the final answer is: El Palmar, Spain\u001B[0m\n",
|
||||
"\n",
|
||||
"\u001B[1m> Finished chain.\u001B[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "'El Palmar, Spain'"
|
||||
},
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain.utilities import GoogleSerperAPIWrapper\n",
|
||||
"from langchain.llms.openai import OpenAI\n",
|
||||
"from langchain.agents import initialize_agent, Tool\n",
|
||||
"\n",
|
||||
"llm = OpenAI(temperature=0)\n",
|
||||
"search = GoogleSerperAPIWrapper()\n",
|
||||
"tools = [\n",
|
||||
" Tool(\n",
|
||||
" name=\"Intermediate Answer\",\n",
|
||||
" func=search.run\n",
|
||||
" )\n",
|
||||
"]\n",
|
||||
"\n",
|
||||
"self_ask_with_search = initialize_agent(tools, llm, agent=\"self-ask-with-search\", verbose=True)\n",
|
||||
"self_ask_with_search.run(\"What is the hometown of the reigning men's U.S. Open champion?\")"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
}
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"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
|
||||
}
|
Reference in New Issue
Block a user