id stringlengths 14 16 | text stringlengths 45 2.73k | source stringlengths 49 114 |
|---|---|---|
6c9972219f70-2 | Requires LLM: Yes
open-meteo-api
Tool Name: Open Meteo API
Tool Description: Useful for when you want to get weather information from the OpenMeteo API. The input should be a question in natural language that this API can answer.
Notes: A natural language connection to the Open Meteo API (https://api.open-meteo.com/), ... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
6c9972219f70-3 | For more information on this, see this page
searx-search
Tool Name: Search
Tool Description: A wrapper around SearxNG meta search engine. Input should be a search query.
Notes: SearxNG is easy to deploy self-hosted. It is a good privacy friendly alternative to Google Search. Uses the SearxNG API.
Requires LLM: No
Extra... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
6c9972219f70-4 | Notes: A connection to the OpenWeatherMap API (https://api.openweathermap.org), specifically the /data/2.5/weather endpoint.
Requires LLM: No
Extra Parameters: openweathermap_api_key (your API key to access this endpoint)
previous
Tools
next
Defining Custom Tools
Contents
List of Tools
By Harrison Chase
... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
146dd9e4d909-0 | .ipynb
.pdf
Multi-Input Tools
Multi-Input Tools#
This notebook shows how to use a tool that requires multiple inputs with an agent.
The difficulty in doing so comes from the fact that an agent decides its next step from a language model, which outputs a string. So if that step requires multiple inputs, they need to be ... | https://python.langchain.com/en/latest/modules/agents/tools/multi_input_tool.html |
146dd9e4d909-1 | )
]
mrkl = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
mrkl.run("What is 3 times 4")
> Entering new AgentExecutor chain...
I need to multiply two numbers
Action: Multiplier
Action Input: 3,4
Observation: 12
Thought: I now know the final answer
Final Answer: 3 times 4 is 12
>... | https://python.langchain.com/en/latest/modules/agents/tools/multi_input_tool.html |
1fdff0f5e65c-0 | .ipynb
.pdf
Defining Custom Tools
Contents
Completely New Tools
Tool dataclass
Subclassing the BaseTool class
Using the tool decorator
Modify existing tools
Defining the priorities among Tools
Using tools to return directly
Multi-argument tools
Defining Custom Tools#
When constructing your own agent, you will need to... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-1 | tools = [
Tool(
name = "Search",
func=search.run,
description="useful for when you need to answer questions about current events"
),
]
# You can also define an args_schema to provide more information about inputs
from pydantic import BaseModel, Field
class CalculatorInput(BaseModel):
... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-2 | Final Answer: 3.991298452658078
> Finished chain.
'3.991298452658078'
Subclassing the BaseTool class#
class CustomSearchTool(BaseTool):
name = "Search"
description = "useful for when you need to answer questions about current events"
def _run(self, query: str) -> str:
"""Use the tool."""
ret... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-3 | Action: Calculator
Action Input: 25^(0.43)
> Entering new LLMMathChain chain...
25^(0.43)```text
25**(0.43)
```
...numexpr.evaluate("25**(0.43)")...
Answer: 3.991298452658078
> Finished chain.
Answer: 3.991298452658078I now know the final answer
Final Answer: 3.991298452658078
> Finished chain.
'3.991298452658078'
Usin... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-4 | """Searches the API for the query."""
return "Results"
search_api
Tool(name='search', description='search(query: str) -> str - Searches the API for the query.', args_schema=<class 'pydantic.main.SearchApi'>, return_direct=True, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-5 | agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
> Entering new AgentExecutor chain...
I need to find out Leo DiCaprio's girlfriend's name and her age.
Action: Google Search
Action Input: "Leo DiCaprio girlfriend"I draw the lime at going to get a Mohawk, though." DiCaprio... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-6 | from langchain.agents import initialize_agent, Tool
from langchain.agents import AgentType
from langchain.llms import OpenAI
from langchain import LLMMathChain, SerpAPIWrapper
search = SerpAPIWrapper()
tools = [
Tool(
name = "Search",
func=search.run,
description="useful for when you need to... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-7 | tools = [
Tool(
name="Calculator",
func=llm_math_chain.run,
description="useful for when you need to answer questions about math",
return_direct=True
)
]
llm = OpenAI(temperature=0)
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
ag... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-8 | matches = re.findall(pattern, action_input)
if not matches:
raise ValueError(f"Could not parse action input: `{action_input}`")
# Create a dictionary with the parsed arguments and their values
parsed_input = {}
for arg, value in matches:
if value == "None... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
1fdff0f5e65c-9 | llm = OpenAI(temperature=0)
agent = initialize_agent([custom_search], llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, agent_kwargs={"output_parser": CustomOutputParser()})
agent.run("Search for me and tell me whatever it says")
> Entering new AgentExecutor chain...
I need to use a search function to fi... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
d2f4aa242d2d-0 | .ipynb
.pdf
Tool Input Schema
Tool Input Schema#
By default, tools infer the argument schema by inspecting the function signature. For more strict requirements, custom input schema can be specified, along with custom validation logic.
from typing import Any, Dict
from langchain.agents import AgentType, initialize_agent... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
d2f4aa242d2d-1 | answer = agent.run("What's the main title on langchain.com?")
print(answer)
The main title of langchain.com is "LANG CHAIN 🦜️🔗 Official Home Page"
agent.run("What's the main title on google.com?")
---------------------------------------------------------------------------
ValidationError Tra... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
d2f4aa242d2d-2 | 112 try:
--> 113 outputs = self._call(inputs)
114 except (KeyboardInterrupt, Exception) as e:
115 self.callback_manager.on_chain_error(e, verbose=self.verbose)
File ~/code/lc/lckg/langchain/agents/agent.py:792, in AgentExecutor._call(self, inputs)
790 # We now enter the agent loop (until it returns ... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
d2f4aa242d2d-3 | 103 tool_input: Union[str, Dict],
(...)
107 **kwargs: Any,
108 ) -> str:
109 """Run the tool."""
--> 110 run_input = self._parse_input(tool_input)
111 if not self.verbose and verbose is not None:
112 verbose_ = verbose
File ~/code/lc/lckg/langchain/tools/base.py:71, in... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
c09692104077-0 | .ipynb
.pdf
Wolfram Alpha
Wolfram Alpha#
This notebook goes over how to use the wolfram alpha component.
First, you need to set up your Wolfram Alpha developer account and get your APP ID:
Go to wolfram alpha and sign up for a developer account here
Create an app and get your APP ID
pip install wolframalpha
Then we wil... | https://python.langchain.com/en/latest/modules/agents/tools/examples/wolfram_alpha.html |
1d3bf4f4758e-0 | .ipynb
.pdf
Requests
Requests#
The web contains a lot of information that LLMs do not have access to. In order to easily let LLMs interact with that information, we provide a wrapper around the Python Requests module that takes in a URL and fetches data from that URL.
from langchain.utilities import TextRequestsWrapper... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-1 | '<!doctype html><html itemscope="" itemtype="http://schema.org/WebPage" lang="en"><head><meta content="Search the world\'s information, including webpages, images, videos and more. Google has many special features to help you find exactly what you\'re looking for." name="description"><meta content="noodp" name="robots"... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-2 | nonce="skA52jTjrFARNMkurZZTjQ">(function(){window.google={kEI:\'5dkIZP3HJ4WPur8PmJ23iAc\',kEXPI:\'0,18168,772936,568305,6059,206,4804,2316,383,246,5,1129120,1197787,614,165,379924,16115,28684,22431,1361,12313,17586,4998,13228,37471,4820,887,1985,2891,3926,7828,606,29842,826,19390,10632,15324,432,3,346,1244,1,5444,149,1... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-3 | 7428,5821,2536,4094,7596,1,42154,2,14022,2373,342,23024,5679,1021,31121,4569,6258,23418,1252,5835,14967,4333,7484,445,2,2,1,24626,2006,8155,7381,2,3,15965,872,9626,10008,7,1922,5784,3995,19130,2261,14763,6304,2008,18192,927,14678,4531,14,82,16514,3692,109,1513,899,879,2226,2751,1854,1931,156,8524,2426,721,1021,904,1423... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-4 | 974,9,184,26,469,2238,5,1648,109,1127,450,6708,5318,1002,258,3392,1991,4,29,212,2,375,537,1046,314,1720,78,890,1861,1,1172,2275,129,29,632,274,599,731,1305,392,307,536,592,87,113,762,845,2552,3788,220,669,3,750,1174,601,310,611,27,54,49,398,51,238,1079,67,3232,710,1652,82,5,667,2077,544,3,15,2,24,497,977,40,338,224,119... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-5 | 393,1137,781,4,81,1558,241,104,5232351,297,152,8798692,3311,141,795,19735,302,46,23950484,553,4041590,1964,1008,15665,2893,512,5738,12560,1540,1218,146,1415332\',kBL:\'Td3a\'};google.sn=\'webhp\';google.kHL=\'en\';})();(function(){\nvar | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-6 | f=this||self;var h,k=[];function l(a){for(var b;a&&(!a.getAttribute||!(b=a.getAttribute("eid")));)a=a.parentNode;return b||h}function m(a){for(var b=null;a&&(!a.getAttribute||!(b=a.getAttribute("leid")));)a=a.parentNode;return b}\nfunction n(a,b,c,d,g){var e="";c||-1!==b.search("&ei=")||(e="&ei="+l(d),-1===b.search("&l... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-7 | c=a.id;else{do c=Math.random();while(google.y[c])}google.y[c]=[a,b];return!1};google.sx=function(a){google.sy.push(a)};google.lm=[];google.plm=function(a){google.lm.push.apply(google.lm,a)};google.lq=[];google.load=function(a,b,c){google.lq.push([[a],b,c])};google.loadAll=function(a,b){google.lq.push([a,b])};google.bx=... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-8 | !important}a.gb1,a.gb4{color:#00c !important}.gbi .gb4{color:#dd8e27 !important}.gbf .gb4{color:#900 !important}\n</style><style>body,td,a,p,.h{font-family:arial,sans-serif}body{margin:0;overflow-y:scroll}#gog{padding:3px 8px 0}td{line-height:.8em}.gac_m td{line-height:17px}form{margin-bottom:20px}.h{color:#1558d6}em{f... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-9 | 0 -261px repeat-x;border:none;color:#000;cursor:pointer;height:30px;margin:0;outline:0;font:15px arial,sans-serif;vertical-align:top}.lsb:active{background:#dadce0}.lst:focus{outline:none}</style><script nonce="skA52jTjrFARNMkurZZTjQ">(function(){window.google.erd={jsr:1,bv:1756,de:true};\nvar h=this||self;var k,l=null... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-10 | f=a.lineNumber;void 0!==f&&(c+="&line="+f);var g=\na.fileName;g&&(0<g.indexOf("-extension:/")&&(e=3),c+="&script="+b(g),f&&g===window.location.href&&(f=document.documentElement.outerHTML.split("\\n")[f],c+="&cad="+b(f?f.substring(0,300):"No script found.")));c+="&jsel="+e;for(var u in d)c+="&",c+=b(u),c+="=",c+=b(d[u])... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-11 | window.n();if (document.images){new Image().src=src;}\nif (!iesg){document.f&&document.f.q.focus();document.gbqf&&document.gbqf.q.focus();}\n}\n})();</script><div id="mngb"><div id=gbar><nobr><b class=gb1>Search</b> <a class=gb1 href="https://www.google.com/imghp?hl=en&tab=wi">Images</a> <a class=gb1 href="https://maps... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-12 | class=gb4>Web History</a> | <a href="/preferences?hl=en" class=gb4>Settings</a> | <a target=_top id=gb_70 href="https://accounts.google.com/ServiceLogin?hl=en&passive=true&continue=https://www.google.com/&ec=GAZAAQ" class=gb4>Sign in</a></nobr></div><div class=gbh style=left:0></div><div class=gbh style=right:0></div>... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-13 | Women\'s Day 2023" border="0" height="200" src="/logos/doodles/2023/international-womens-day-2023-6753651837109578-l.png" title="International Women\'s Day 2023" width="500" id="hplogo"><br></a><br></div><form action="/search" name="f"><table cellpadding="0" cellspacing="0"><tr valign="top"><td width="25%"> </td><... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-14 | Feeling Lucky" name="btnI" type="submit"><script nonce="skA52jTjrFARNMkurZZTjQ">(function(){var id=\'tsuid_1\';document.getElementById(id).onclick = function(){if (this.form.q.value){this.checked = 1;if (this.form.iflsig)this.form.iflsig.disabled = false;}\nelse top.location=\'/doodles/\';};})();</script><input value="... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-15 | f=google.gbvu,g=document.getElementById("gbv");g&&(g.value=a);f&&window.setTimeout(function(){location.href=f},0)};}).call(this);</script></form><div id="gac_scont"></div><div style="font-size:83%;min-height:3.5em"><br><div id="prm"><style>.szppmdbYutt__middle-slot-promo{font-size:small;margin-bottom:32px}.szppmdbYutt_... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-16 | id="footer"><div style="font-size:10pt"><div style="margin:19px auto;text-align:center" id="WqQANb"><a href="/intl/en/ads/">Advertising</a><a href="/services/">Business Solutions</a><a href="/intl/en/about.html">About Google</a></div></div><p style="font-size:8pt;color:#70757a">© 2023 - <a href="/intl/en/policies/... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-17 | nonce="skA52jTjrFARNMkurZZTjQ">(function(){var u=\'/xjs/_/js/k\\x3dxjs.hp.en.ObwAV4EjOBQ.O/am\\x3dAACgEwBAAYAF/d\\x3d1/ed\\x3d1/rs\\x3dACT90oGDUDSLlBIGF3CSmUWoHe0AKqeZ6w/m\\x3dsb_he,d\';var amd=0;\nvar d=this||self,e=function(a){return a};var g;var l=function(a,b){this.g=b===h?a:""};l.prototype.toString=function(){retu... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-18 | l&&a.constructor===l?a.g:"type_error:TrustedResourceUrl";var f,n;(f=(a=null==(n=(f=(c.ownerDocument&&c.ownerDocument.defaultView||window).document).querySelector)?void 0:n.call(f,"script[nonce]"))?a.nonce||a.getAttribute("nonce")||"":"")&&c.setAttribute("nonce",f);document.body.appendChild(c);google.psa=!0};google.xjsu... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-19 | Search\\x22,\\x22dym\\x22:\\x22Did you mean:\\x22,\\x22lcky\\x22:\\x22I\\\\u0026#39;m Feeling Lucky\\x22,\\x22lml\\x22:\\x22Learn more\\x22,\\x22psrc\\x22:\\x22This search was removed from your \\\\u003Ca href\\x3d\\\\\\x22/history\\\\\\x22\\\\u003EWeb History\\\\u003C/a\\\\u003E\\x22,\\x22psrl\\x22:\\x22Remove\\x22,\\... | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
1d3bf4f4758e-20 | previous
Python REPL
next
Search Tools
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 21, 2023. | https://python.langchain.com/en/latest/modules/agents/tools/examples/requests.html |
ae0d019faa0d-0 | .ipynb
.pdf
Gradio Tools
Contents
Using a tool
Using within an agent
Gradio Tools#
There are many 1000s of Gradio apps on Hugging Face Spaces. This library puts them at the tips of your LLM’s fingers 🦾
Specifically, gradio-tools is a Python library for converting Gradio apps into tools that can be leveraged by a lar... | https://python.langchain.com/en/latest/modules/agents/tools/examples/gradio_tools.html |
ae0d019faa0d-1 | display(im)
Using within an agent#
from langchain.agents import initialize_agent
from langchain.llms import OpenAI
from gradio_tools.tools import (StableDiffusionTool, ImageCaptioningTool, StableDiffusionPromptGeneratorTool,
TextToVideoTool)
from langchain.memory import ConversationBuffe... | https://python.langchain.com/en/latest/modules/agents/tools/examples/gradio_tools.html |
ae0d019faa0d-2 | Thought: Do I need to use a tool? Yes
Action: StableDiffusion
Action Input: A dog riding a skateboard, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha
Job Status: Status.STARTING eta: None
Job Status: Status.PROCESSING eta: None
Observat... | https://python.langchain.com/en/latest/modules/agents/tools/examples/gradio_tools.html |
ae0d019faa0d-3 | Job Status: Status.IN_QUEUE eta: 42.49370198879602
Job Status: Status.IN_QUEUE eta: 21.314297944849187
Observation: /var/folders/bm/ylzhm36n075cslb9fvvbgq640000gn/T/tmp5snj_nmzf20_cb3m.mp4
Thought: Do I need to use a tool? No
AI: Here is a video of a painting of a dog sitting on a skateboard.
> Finished chain.
previous... | https://python.langchain.com/en/latest/modules/agents/tools/examples/gradio_tools.html |
b96ac82690f0-0 | .ipynb
.pdf
Arxiv API
Arxiv API#
This notebook goes over how to use the arxiv component.
First, you need to install arxiv python package.
!pip install arxiv
from langchain.utilities import ArxivAPIWrapper
arxiv = ArxivAPIWrapper()
docs = arxiv.run("1605.08386")
docs
'Published: 2016-05-26\nTitle: Heat-bath random walks... | https://python.langchain.com/en/latest/modules/agents/tools/examples/arxiv.html |
b96ac82690f0-1 | docs = arxiv.run("Caprice Stanley")
docs
'Published: 2017-10-10\nTitle: On Mixing Behavior of a Family of Random Walks Determined by a Linear Recurrence\nAuthors: Caprice Stanley, Seth Sullivant\nSummary: We study random walks on the integers mod $G_n$ that are determined by an\ninteger sequence $\\{ G_n \\}_{n \\geq 1... | https://python.langchain.com/en/latest/modules/agents/tools/examples/arxiv.html |
b96ac82690f0-2 | docs = arxiv.run("1605.08386WWW")
docs
'No good Arxiv Result was found'
previous
Apify
next
Bash
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 21, 2023. | https://python.langchain.com/en/latest/modules/agents/tools/examples/arxiv.html |
2b0b522b16ab-0 | .ipynb
.pdf
Search Tools
Contents
Google Serper API Wrapper
SerpAPI
GoogleSearchAPIWrapper
SearxNG Meta Search Engine
Search Tools#
This notebook shows off usage of various search tools.
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from l... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
2b0b522b16ab-1 | Action: Search
Action Input: "weather in Pomfret"
Observation: Partly cloudy skies during the morning hours will give way to cloudy skies with light rain and snow developing in the afternoon. High 42F. Winds WNW at 10 to 15 ...
Thought: I now know the current weather in Pomfret.
Final Answer: Partly cloudy skies during... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
2b0b522b16ab-2 | Action: Google Search
Action Input: "weather in Pomfret"
Observation: 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%. Pomfret, CT Weather Forecast, with current conditions, wind, air quality, and what to expect fo... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
2b0b522b16ab-3 | > Finished AgentExecutor chain.
'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%.'
SearxNG Meta Search Engine#
Here we will be using a self hosted SearxNG meta search engine.
tools = load_tools(["searx-search"], se... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
2b0b522b16ab-4 | Pomfret, CT ; Current Weather. 1:06 AM. 35°F · RealFeel® 32° ; TODAY'S WEATHER FORECAST. 3/3. 44°Hi. RealFeel® 50° ; TONIGHT'S WEATHER FORECAST. 3/3. 32°Lo.
Pomfret, MD Forecast Today Hourly Daily Morning 41° 1% Afternoon 43° 0% Evening 35° 3% Overnight 34° 2% Don't Miss Finally, Here’s Why We Get More Colds and Flu Wh... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
2b0b522b16ab-5 | Thought: I now know the final answer
Final Answer: The current weather in Pomfret is mainly cloudy with snow showers around in the morning. The temperature is around 40F with winds NNW at 5 to 10 mph. Chance of snow is 40%.
> Finished chain.
'The current weather in Pomfret is mainly cloudy with snow showers around in t... | https://python.langchain.com/en/latest/modules/agents/tools/examples/search_tools.html |
30e14901b8dd-0 | .ipynb
.pdf
ChatGPT Plugins
ChatGPT Plugins#
This example shows how to use ChatGPT Plugins within LangChain abstractions.
Note 1: This currently only works for plugins with no auth.
Note 2: There are almost certainly other ways to do this, this is just a first pass. If you have better ideas, please open a PR!
from lang... | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-1 | OpenAPI Spec: {'openapi': '3.0.1', 'info': {'version': 'v0', 'title': 'Open AI Klarna product Api'}, 'servers': [{'url': 'https://www.klarna.com/us/shopping'}], 'tags': [{'name': 'open-ai-product-endpoint', 'description': 'Open AI Product Endpoint. Query for products.'}], 'paths': {'/public/openai/v0/products': {'get':... | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-2 | {'schema': {'$ref': '#/components/schemas/ProductResponse'}}}}, '503': {'description': 'one or more services are unavailable'}}, 'deprecated': False}}}, 'components': {'schemas': {'Product': {'type': 'object', 'properties': {'attributes': {'type': 'array', 'items': {'type': 'string'}}, 'name': {'type': 'string'}, 'pric... | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-3 | Thought:I need to use the Klarna Shopping API to search for t shirts.
Action: requests_get
Action Input: https://www.klarna.com/us/shopping/public/openai/v0/products?q=t%20shirts | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-4 | Observation: {"products":[{"name":"Lacoste Men's Pack of Plain T-Shirts","url":"https://www.klarna.com/us/shopping/pl/cl10001/3202043025/Clothing/Lacoste-Men-s-Pack-of-Plain-T-Shirts/?utm_source=openai","price":"$26.60","attributes":["Material:Cotton","Target Group:Man","Color:White,Black"]},{"name":"Hanes Men's Ultima... | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-5 | Comfort T-shirts Men's 3-pack","url":"https://www.klarna.com/us/shopping/pl/cl10001/3202640533/Clothing/adidas-Comfort-T-shirts-Men-s-3-pack/?utm_source=openai","price":"$14.99","attributes":["Material:Cotton","Target Group:Man","Color:White,Black","Neckline:Round"]}]} | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
30e14901b8dd-6 | Thought:The available t shirts in Klarna are Lacoste Men's Pack of Plain T-Shirts, Hanes Men's Ultimate 6pk. Crewneck T-Shirts, Nike Boy's Jordan Stretch T-shirts, Polo Classic Fit Cotton V-Neck T-Shirts 3-Pack, and adidas Comfort T-shirts Men's 3-pack.
Final Answer: The available t shirts in Klarna are Lacoste Men's P... | https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html |
a4ee2869708f-0 | .ipynb
.pdf
Python REPL
Python REPL#
Sometimes, for complex calculations, rather than have an LLM generate the answer directly, it can be better to have the LLM generate code to calculate the answer, and then run that code to get the answer. In order to easily do that, we provide a simple Python REPL to execute command... | https://python.langchain.com/en/latest/modules/agents/tools/examples/python.html |
0d7b125173af-0 | .ipynb
.pdf
IFTTT WebHooks
Contents
Creating a webhook
Configuring the “If This”
Configuring the “Then That”
Finishing up
IFTTT WebHooks#
This notebook shows how to use IFTTT Webhooks.
From https://github.com/SidU/teams-langchain-js/wiki/Connecting-IFTTT-Services.
Creating a webhook#
Go to https://ifttt.com/create
Co... | https://python.langchain.com/en/latest/modules/agents/tools/examples/ifttt.html |
0d7b125173af-1 | service, and you’re ready to start receiving data and triggering actions 🎉
Finishing up#
To get your webhook URL go to https://ifttt.com/maker_webhooks/settings
Copy the IFTTT key value from there. The URL is of the form
https://maker.ifttt.com/use/YOUR_IFTTT_KEY. Grab the YOUR_IFTTT_KEY value.
from langchain.tools.if... | https://python.langchain.com/en/latest/modules/agents/tools/examples/ifttt.html |
e5170741dc19-0 | .ipynb
.pdf
Bing Search
Contents
Number of results
Metadata Results
Bing Search#
This notebook goes over how to use the bing search component.
First, you need to set up the proper API keys and environment variables. To set it up, follow the instructions found here.
Then we will need to set some environment variables.... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
e5170741dc19-1 | 'Thanks to the flexibility of <b>Python</b> and the powerful ecosystem of packages, the Azure CLI supports features such as autocompletion (in shells that support it), persistent credentials, JMESPath result parsing, lazy initialization, network-less unit tests, and more. Building an open-source and cross-platform Azur... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
e5170741dc19-2 | assignment operator.It adds two values and assigns the sum to a variable (left operand). W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, <b>Python</b>, SQL, Java, and many, many more. This tutorial introduces t... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
e5170741dc19-3 | To install <b>Python</b> using the Microsoft Store: Go to your Start menu (lower left Windows icon), type "Microsoft Store", select the link to open the store. Once the store is open, select Search from the upper-right menu and enter "<b>Python</b>". Select which version of <b>Python</b> you would l... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
e5170741dc19-4 | Number of results#
You can use the k parameter to set the number of results
search = BingSearchAPIWrapper(k=1)
search.run("python")
'Thanks to the flexibility of <b>Python</b> and the powerful ecosystem of packages, the Azure CLI supports features such as autocompletion (in shells that support it), persistent credentia... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
e5170741dc19-5 | {'snippet': '<b>Apples</b> boast many vitamins and minerals, though not in high amounts. However, <b>apples</b> are usually a good source of vitamin C. Vitamin C. Also called ascorbic acid, this vitamin is a common ...',
'title': 'Apples 101: Nutrition Facts and Health Benefits',
'link': 'https://www.healthline.com... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
991e16165ebc-0 | .ipynb
.pdf
SerpAPI
Contents
Custom Parameters
SerpAPI#
This notebook goes over how to use the SerpAPI component to search the web.
from langchain.utilities import SerpAPIWrapper
search = SerpAPIWrapper()
search.run("Obama's first name?")
'Barack Hussein Obama II'
Custom Parameters#
You can also customize the SerpAPI... | https://python.langchain.com/en/latest/modules/agents/tools/examples/serpapi.html |
71930782226f-0 | .ipynb
.pdf
SearxNG Search API
Contents
Custom Parameters
Obtaining results with metadata
SearxNG Search API#
This notebook goes over how to use a self hosted SearxNG search API to search the web.
You can check this link for more informations about Searx API parameters.
import pprint
from langchain.utilities import S... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-1 | search.run("large language model ", engines=['wiki'])
'Large language models (LLMs) represent a major advancement in AI, with the promise of transforming domains through learned knowledge. LLM sizes have been increasing 10X every year for the last few years, and as these models grow in complexity and size, so do their ... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-2 | search.run("deep learning", language='es', engines=['wiki'])
'Aprendizaje profundo (en inglés, deep learning) es un conjunto de algoritmos de aprendizaje automático (en inglés, machine learning) que intenta modelar abstracciones de alto nivel en datos usando arquitecturas computacionales que admiten transformaciones no... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-3 | 'title': 'Promptchainer: Chaining large language model prompts through '
'visual programming',
'link': 'https://dl.acm.org/doi/abs/10.1145/3491101.3519729',
'engines': ['google scholar'],
'category': 'science'},
{'snippet': '… can introspect the large prompt model. We derive the view '
'ϕ... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-4 | 'link': 'https://arxiv.org/abs/2204.02329',
'engines': ['google scholar'],
'category': 'science'}]
Get papers from arxiv
results = search.results("Large Language Model prompt", num_results=5, engines=['arxiv'])
pprint.pp(results)
[{'snippet': 'Thanks to the advanced improvement of large pre-trained language '
... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-5 | 'development of real-world AES systems, yet it remains an '
'under-explored area of research. Models designed for '
'prompt-specific AES rely heavily on prompt-specific knowledge '
'and perform poorly in the cross-prompt setting, whereas current '
'approaches to cross... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-6 | 'example selection. We further explore the use of monolingual '
'data and the feasibility of cross-lingual, cross-domain, and '
'sentence-to-document transfer learning in prompting. Extensive '
'experiments with GLM-130B (Zeng et al., 2022) as the testbed '
'show that... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-7 | 'effective, especially when the prompts are natural language. In '
'this paper, we investigate common attributes shared by effective '
'prompts. We first propose a human readable prompt tuning method '
'(F LUENT P ROMPT) based on Langevin dynamics that incorporates a '
... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-8 | 'In this work, we discuss methods of prompt programming, '
'emphasizing the usefulness of considering prompts through the '
'lens of natural language. We explore techniques for exploiting '
'the capacity of narratives and cultural anchors to encode '
'nuanced intentio... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-9 | 'scripts and screenplays.',
'title': 'dramatron',
'link': 'https://github.com/deepmind/dramatron',
'engines': ['github'],
'category': 'it'}]
We could also directly query for results from github and other source forges.
results = search.results("large language model", num_results = 20, engines=['github', 'gitlab... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-10 | 'engines': ['github'],
'category': 'it'},
{'snippet': 'Code for loralib, an implementation of "LoRA: Low-Rank '
'Adaptation of Large Language Models"',
'title': 'LoRA',
'link': 'https://github.com/microsoft/LoRA',
'engines': ['github'],
'category': 'it'},
{'snippet': 'Code for the paper "Evalua... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-11 | 'engines': ['github'],
'category': 'it'},
{'snippet': 'Optimus: the first large-scale pre-trained VAE language model',
'title': 'Optimus',
'link': 'https://github.com/ChunyuanLI/Optimus',
'engines': ['github'],
'category': 'it'},
{'snippet': 'Seminar on Large Language Models (COMP790-101 at UNC Chapel '
... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-12 | 'link': 'https://github.com/bigscience-workshop/biomedical',
'engines': ['github'],
'category': 'it'},
{'snippet': 'ChatGPT @ Home: Large Language Model (LLM) chatbot application, '
'written by ChatGPT',
'title': 'ChatGPT-at-Home',
'link': 'https://github.com/Sentdex/ChatGPT-at-Home',
'engines':... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
71930782226f-13 | 'engines': ['github'],
'category': 'it'},
{'snippet': 'This repository contains the code, data, and models of the paper '
'titled "XL-Sum: Large-Scale Multilingual Abstractive '
'Summarization for 44 Languages" published in Findings of the '
'Association for Computational Lingu... | https://python.langchain.com/en/latest/modules/agents/tools/examples/searx_search.html |
cfb1cc5bb357-0 | .ipynb
.pdf
Google Search
Contents
Number of Results
Metadata Results
Google Search#
This notebook goes over how to use the google search component.
First, you need to set up the proper API keys and environment variables. To set it up, create the GOOGLE_API_KEY in the Google Cloud credential console (https://console.... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
cfb1cc5bb357-1 | '1 Child\'s First Name. 2. 6. 7d. Street Address. 71. (Type or print). BARACK. Sex. 3. This Birth. 4. If Twin or Triplet,. Was Child Born. Barack Hussein Obama II is an American retired politician who served as the 44th president of the United States from 2009 to 2017. His full name is Barack Hussein Obama II. Since th... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
cfb1cc5bb357-2 | Number of Results#
You can use the k parameter to set the number of results
search = GoogleSearchAPIWrapper(k=1)
search.run("python")
'The official home of the Python Programming Language.'
‘The official home of the Python Programming Language.’
Metadata Results#
Run query through GoogleSearch and return snippet, title... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
cfb1cc5bb357-3 | 'title': 'Apples: Benefits, nutrition, and tips',
'link': 'https://www.medicalnewstoday.com/articles/267290'},
{'snippet': "An apple is a crunchy, bright-colored fruit, one of the most popular in the United States. You've probably heard the age-old saying, “An apple a day keeps\xa0...",
'title': 'Apples: Nutrition... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
54d76554f292-0 | .ipynb
.pdf
DuckDuckGo Search
DuckDuckGo Search#
This notebook goes over how to use the duck-duck-go search component.
# !pip install duckduckgo-search
from langchain.tools import DuckDuckGoSearchTool
search = DuckDuckGoSearchTool()
search.run("Obama's first name?") | https://python.langchain.com/en/latest/modules/agents/tools/examples/ddg.html |
54d76554f292-1 | 'Barack Obama, in full Barack Hussein Obama II, (born August 4, 1961, Honolulu, Hawaii, U.S.), 44th president of the United States (2009-17) and the first African American to hold the office. Before winning the presidency, Obama represented Illinois in the U.S. Senate (2005-08). Barack Hussein Obama II (/ b ə ˈ r ɑː k ... | https://python.langchain.com/en/latest/modules/agents/tools/examples/ddg.html |
54d76554f292-2 | previous
ChatGPT Plugins
next
Google Places
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 21, 2023. | https://python.langchain.com/en/latest/modules/agents/tools/examples/ddg.html |
55af05ea7773-0 | .ipynb
.pdf
Apify
Apify#
This notebook shows how to use the Apify integration for LangChain.
Apify is a cloud platform for web scraping and data extraction,
which provides an ecosystem of more than a thousand
ready-made apps called Actors for various web scraping, crawling, and data extraction use cases.
For example, y... | https://python.langchain.com/en/latest/modules/agents/tools/examples/apify.html |
55af05ea7773-1 | loader = apify.call_actor(
actor_id="apify/website-content-crawler",
run_input={"startUrls": [{"url": "https://python.langchain.com/en/latest/"}]},
dataset_mapping_function=lambda item: Document(
page_content=item["text"] or "", metadata={"source": item["url"]}
),
)
Initialize the vector index f... | https://python.langchain.com/en/latest/modules/agents/tools/examples/apify.html |
d8acc12f7e2f-0 | .ipynb
.pdf
Human as a tool
Human as a tool#
Human are AGI so they can certainly be used as a tool to help out AI agent
when it is confused.
import sys
from langchain.chat_models import ChatOpenAI
from langchain.llms import OpenAI
from langchain.agents import load_tools, initialize_agent
from langchain.agents import Ag... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
d8acc12f7e2f-1 | Action: Calculator
Action Input: "Is 2021 a leap year?"
Observation: Answer: False
Thought:I have all the information I need to answer the original question.
Final Answer: Eric Zhu's birthday is on August 1st and it is not a leap year in 2021.
> Finished chain.
"Eric Zhu's birthday is on August 1st and it is not a leap... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
678dc8d1c5e7-0 | .ipynb
.pdf
Google Serper API
Contents
As part of a Self Ask With Search Chain
Google Serper API#
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 and get your api key.
import os
os.environ["SERPER_API_KEY"] = ""
from langchai... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_serper.html |
678dc8d1c5e7-1 | 'El Palmar, Spain'
previous
Google Search
next
Gradio Tools
Contents
As part of a Self Ask With Search Chain
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 21, 2023. | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_serper.html |
ff75455b44e6-0 | .ipynb
.pdf
Wikipedia API
Wikipedia API#
This notebook goes over how to use the wikipedia component.
First, you need to install wikipedia python package.
pip install wikipedia
from langchain.utilities import WikipediaAPIWrapper
wikipedia = WikipediaAPIWrapper()
wikipedia.run('HUNTER X HUNTER') | https://python.langchain.com/en/latest/modules/agents/tools/examples/wikipedia.html |
ff75455b44e6-1 | 'Page: Hunter × Hunter\nSummary: Hunter × Hunter (stylized as HUNTER×HUNTER and pronounced "hunter hunter") is a Japanese manga series written and illustrated by Yoshihiro Togashi. It has been serialized in Shueisha\'s shōnen manga magazine Weekly Shōnen Jump since March 1998, although the manga has frequently gone on ... | https://python.langchain.com/en/latest/modules/agents/tools/examples/wikipedia.html |
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