Instruction:
A chat. Please develop a plan to answer the following question using the tools provided. For each step in your plan, provide an evidence variable that corresponds to the output of the tool you use.

The available tools are as follows:

WebSearch[input]: This tool uses a search engine to find information related to the input query. It provides a list of potential sources but does not directly answer the question.
ArticleReader[input]: This tool can read and summarize articles from the internet. The input should be a URL from one of the sources found by WebSearch.
LinkFinder[input]: This tool extracts URLs from the text provided in the input.
QAHelper[input]: This tool answers questions based on the context given in the input. The input must include a reference to an evidence variable.

Your response should follow this format:
Plan: [First action]
#E1 = [Tool to use with input parameter]
Plan: [Next action based on #E1]
#E2 = [Next tool to use with input parameter, possibly referencing #E1]
...
Final Answer: #En

Question: Who was the first person to climb Mount Everest without supplemental oxygen?


Instruction:
A chat. Please create a step-by-step plan to generate an ideal response to the user instruction, making use of a set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
SearchEngine[input]: Tool that allows the user to search for information using a generic search engine. This tool is useful in finding an appropriate list of sites that may or may not include the answer to the user's question.
WebScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkFinder[input]: Extract links from plain text and produces a plain text, newline delimited response of links.
QAModel[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence]
...
Answer: [:evidence[n]: containing the final answer.]

Question: What is the history behind the creation of the Eiffel Tower and who were the key people involved?


Instruction:
A chat. Develop a plan to answer the following question using the tools provided. Each step in your plan should be followed by an evidence variable, which will store the output of one of the available functions given its input string.

The available tools are as follows:

Bing[input]: A tool that allows you to search for information on Bing's search engine. This function is useful for finding websites that may contain the answer to the user's query. The function does not directly provide an answer; it generates a list of sites that might have the answer.
WebReader[input]: Reads and extracts plain text from one or more websites based on the input string containing newline separated links. Input can be one or multiple links and the output is plain text content of these links.
LinkPicker[input]: Picks out links from plain text and produces a plain text response with newline-separated links.
AnswerBot[input]: A language model capable of answering questions based on a passage of text. The input must be a text question referencing an :evidence[n]: variable, e.g., What color is the dog, given :evidence1:?

Each function requires a simple string as input without quotes or "+" to concatenate a string with an evidence variable, e.g., AnswerBot[What is the capital of France, given :evidence3:?]

Ensure only one evidence output per plan step.

Output format should be:
Plan: [first action based on input question]
:evidence0: = [function to call with input parameter]
Plan: [next action based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :evidence0"]
...
Final Answer: [:evidence[n]: containing the final answer.]

Question: Who is the author of the book 'To Kill a Mockingbird' and what other works have they published?


Instruction:
A chat. Create a sequential plan to respond optimally to the user instruction, utilizing a selection of available tools. Each step in the plan will correspond to an evidence value, which will be the output of one of the available functions given an input string that could be the user's question, prior evidence values, or a mix of both.

Available tools for usage:
DuckDuckGo[input]: A tool enabling users to perform searches using the DuckDuckGo search engine. It helps in locating a range of sites that might hold the answer to the user's inquiry.
SiteScraper[input]: Loads one or more websites from the input string containing newline separated links, where input consists of one or more links, and yields plain text output comprising the content of the links.
URLExtractor[input]: Pulls out links from plain text and generates a plain text, newline separated response of links.
AIQA[input]: An artificial intelligence-based question-answering model, especially effective in responding to queries based on an input text passage. The input has to be a textual question referencing an :evidence[n]: variable, e.g., What is the height of the Eiffel Tower, given :evidence1:?

Output format:
Plan: [initial action based on input question]
:evidence0: = [function to invoke with input parameter]
Plan: [subsequent action based on outcome of :evidence0:]
:evidence1: = [next function to invoke and input parameter, potentially including reference to earlier evidence, e.g., "Considering context :evidence0"]
...
Final Answer: [:evidence[n]: containing the ultimate answer]

Question: Who invented the telephone and what were some major developments in its early history?


Instruction:
A chat. Generate a step-by-step plan to respond to the user instruction, making use of the available tools. Each plan will correspond to an evidence value, which will be the output of one of the available functions given an input string that could be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
DuckDuckGo[input]: Tool that allows the user to search for information using the DuckDuckGo search engine. This tool is useful in finding an appropriate list of sites that may or may not include the answer to the user's question. The function doesn't directly answer the question; it finds a list of sites that may have the answer.
HTMLParser[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
URLExtractor[input]: Extract links from plain text and produces a plain text, newline delimited response of links.
QAModel[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :info[n]: variable, e.g., What color is the cat, given :info1:?

The input to each function just just be a plain string, without quotes or "+" to concatenate a string with an evidence variable, e.g., QAModel[What is the capital of Michigan, given :info3:?]

Be sure to only include one evidence output per plan step.

The output should be in format:
Plan: [first action to take based in input question]
:info0: = [function to call with input parameter]
Plan: [next action to take, based on result of :info0:]
:info1: = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :info0"]
...
Answer: [:info[n]: containing the final answer.]

Question: What is the tallest mountain in Australia and how high is it?


Instruction:
A chat. Please develop a plan to answer the following question using the available tools. Each step of your plan should have corresponding evidence, which will be the output of one of the functions given an input string that can be user's query, previous evidence values or both.

Here are the tools you can use:
Bing[input]: A tool that lets you search for information on Bing. This function is useful in finding websites that may contain the answer to the user's question.
TextExtractor[input]: Extracts text from web pages given a list of URLs separated by newlines. The output is plain text containing the content of the links.
LinkPicker[input]: Picks out links from plain text and gives a plain text response with newline-separated links.
QAModel[input]: Question answering model effective at providing answers based on an input passage of text. The input must be a question referencing a :data[n]: variable, e.g., What is the capital of France, given :data1:?

The input to each function should just be a plain string without quotes or "+" to concatenate a string with a data variable, e.g., QAModel[What is the capital of France, given :data3:?]

Make sure to include only one evidence output per plan step.

The output format should be as follows:
Plan: [first action based on input question]
:data0: = [function to call with input parameter]
Plan: [next action based on result of :data0:]
:data1: = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :data0"]
...
Answer: [:data[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2020 and what was their most famous work?


Instruction:
A chat. Develop a detailed plan to solve the following problem, making use of the provided tools. Each plan will correspond to an evidence value, which will be the output of one of the available functions given an input string that could be the user query, one or more prior evidence values, or a combination of both.

Here are the tools available to be called:
WikiLookup[input]: Allows the user to look up information from Wikipedia. This tool is especially useful for gaining knowledge about people, places, corporations, historical events, and other types of factual information.
TextAnalyzer[input]: Analyzes a block of text and extracts key details, producing a summary as output.
HyperlinkCollector[input]: Collects hyperlinks from a body of text and provides them as a list.
AIResponder[input]: A language model capable of answering queries based on an input passage of text. The input must be a textual question referencing a #info[n] variable, such as 'What is the population of Tokyo, given #info1?'

Each function requires a simple string as input, without quotation marks or '+' symbols to join a string with an info variable, like AIResponder[What is the GDP of France, given #info3?].

Remember to provide only one evidence output for each planning step.

The output should follow this format:
Plan: [First action based on the input question]
#info0 = [Function to call with input parameter]
Plan: [Next action, based on the outcome of #info0]
#info1 = [Next function to call and input parameter, possibly referring to previous evidence, such as 'Given context #info0']
...
Final Answer: [#info[n], which contains the final answer.]

Question: What are some major accomplishments of Marie Curie and how did they impact the world?


Instruction:
A chat. Generate a detailed plan to answer the following question using the provided tools. Each step of your plan should indicate which tool will be used and what input will be given to that tool. You can store the output of each tool into a variable :evidence[index]: for future references.

Available Tools:
WebSearch[input]: This tool enables users to perform an online search by providing a query string as input.
ArticleParser[input]: This tool takes a URL as input and returns a structured summary of the article at that URL.
LLM[input]: Question answering language model, particularly useful in answering questions based on an input passage of text.  The input must be a text question that references an :evidence[n]: variable.
URLExtractor[input]: This tool extracts URLs from a given piece of text.

Output Format:
Plan: [First action based on the input question]
:evidence0: = [Tool to call with input parameters]
Plan: [Next action based on the result of :evidence0:]
:evidence1: = [Next tool to call with input parameters, possibly referencing prior evidence variables]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2020?


Instruction:
A chat. Please provide a step-by-step plan to answer the user's question, using the available tools. Each plan should have an associated evidence value, which will be the output of one of the functions given an input string that can be either the user's question, previous evidence values, or both.

Here are the tools you can use:
Bing[input]: A tool that allows users to search for information using the Bing search engine. This tool is useful in finding a list of sites that may contain the answer to the user's question. The function doesn't directly answer the question; it finds a list of sites that might have the answer.
WebScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkExtractor[input]: Extracts links from plain text and produces a plain text, newline delimited response of links.
AskJeeves[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The input to each function should just be a plain string, without quotes or "+" to concatenate a string with an evidence variable, e.g. AskJeeves[What is the capital of Michigan, given :evidence3:?]

Ensure only one evidence output per plan step.

The output format should be:
Plan: [first action to take based on input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the 2022 FIFA World Cup and what was their path to victory?


Instruction:
A chat. Please create a plan to answer the following question using the available tools. Each step of your plan should correspond to an evidence value, which will be the output of one of the functions given an input string that can be either the user's question, previous evidence values, or both.

Here are the tools you can use:
Bing[input]: A tool that allows users to search for information using the Bing search engine. This tool is useful in finding a list of sites that may contain the answer to the user's question. The function doesn't directly answer the question; it finds a list of sites that might have the answer.
WebScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkExtractor[input]: Extracts links from plain text and produces a plain text, newline delimited response of links.
QAModel[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The input to each function just needs to be a plain string, without quotes or "+" to concatenate a string with an evidence variable, e.g. QAModel[What is the capital of Michigan, given :evidence3:?]

Ensure only one evidence output per plan step.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who is the author of the book '1984' and what other books has he written?


Instruction:
A chat. Create a step-by-step plan to answer the following user query using the tools provided. Each plan should have an associated evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a combination of both.

Here are the tools you can use:
WebSearch[input]: A tool that allows the user to search for information on the web. This tool is useful in finding a list of sites that may contain the answer to the user's question.
TextExtractor[input]: Extracts text from a webpage given its URL. The input must be a URL and the output is plain text containing the content of the page.
LinkFinder[input]: Finds links within a block of text. The input is a string of text and the output is a list of URLs found within the text.
QAModel[input]: A question answering model that can answer questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g., What color is the cat, given :evidence1:?

The format of the output should be as follows:
Plan: [first action to take based on the input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2020 and what is their most famous work?


Instruction:
A chat. Please create a step-by-step plan to generate an answer to the user instruction, making use of a set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
Bing[input]: Tool that allows the user to search for information using the Bing search engine. This tool is useful in finding an appropriate list of sites that may or may not include the answer to the user's question.
WebScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkCollector[input]: Extract links from plain text and produces a plain text, newline delimited response of links.
GPT3[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence]
...
Answer: [:evidence[n]: containing the final answer.]

Question: What are some of the most significant contributions made by Ada Lovelace in the field of computing?


Instruction:
A chat. Create a step-by-step plan to answer the question: "What is the average lifespan of an African elephant in the wild?" Use these tools:
- GoogleSearch[input]: Searches for information using Google.
- WikiData[input]: Retrieves structured data from Wikipedia.
- TextSummarizer[input]: Summarizes long text into shorter, more manageable text.
- FactChecker[input]: Checks facts against multiple sources.
- QA[input]: Answers questions based on general knowledge or given context.

The output should be in format:
Plan: [first action]
#E1 = [function call with input parameter]
Plan: [next action]
#E2 = [next function call and input parameter, referencing previous evidence if needed]
...
Final Answer: #E[n]


Instruction:
A chat. Create a step-by-step plan to generate an ideal response to the user instruction, making use of a set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
Bing[input]: Tool that allows the user to search for information using the Bing search engine. This tool is useful in finding an appropriate list of sites that may or may not include the answer to the user's question.
WebReader[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
URLCollector[input]: Extract URLs from plain text and produces a plain text, newline delimited response of URLs.
SAM[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the 2022 Oscar for Best Director and what was their previous work?


Instruction:
A chat. Please generate a step-by-step plan to answer the user's question, using the following available tools. Each tool can be called with an input string and will produce an output that can be stored in a variable :evidence[n]: for use in subsequent steps.

Here are the tools available to be called:
SearchEngine[input]: This tool allows you to search for information on the internet. The input should be a query related to the information you're looking for.
TextAnalyzer[input]: Analyzes a text and extracts key pieces of information such as names, dates, places etc. It takes plain text as input.
FactChecker[input]: Verifies factual claims by cross-referencing multiple sources. Input is a statement or claim to be checked.
QA[input]: Can answer questions based on common sense, general world knowledge, and given context. Particularly useful when the answer is contained within a previous evidence variable.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who was the first person to climb Mount Everest without supplemental oxygen and what year did it happen?


Instruction:
A chat. Develop a comprehensive plan to generate an ideal response to the user instruction, leveraging a variety of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that could be the user question, one or more previous evidence values, or a combination of both.

Here are the tools available to be called:
DuckDuckGo[input]: Allows the user to search for information using DuckDuckGo search engine. This tool finds a list of sites that may contain the answer to the user's question.
SiteScraper[input]: Loads one or more websites from the input string containing newline delimited links, where input is one or more links, and outputs plain text containing the content of the links.
HyperlinkHarvester[input]: Extracts hyperlinks from plain text and produces a plain text, newline delimited response of links.
InfoAI[input]: A question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references a #E[n] variable.

The output should be in format:
Plan: [first action to take based in input question]
#E0 = [function to call with input parameter]
Plan: [next action to take, based on result of #E0]
#E1 = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context #E0"]
...
Final answer: #E[n]

Question: Who invented the telephone and when was the first successful call made?


Instruction:
A chat. Generate a systematic plan to solve the following problem using the specified tools. Each plan should correspond to an evidence value derived from the output of a specific function based on either the user query, prior evidence values, or both.

Available tools:
BingSearch[input]: Allows users to conduct online searches via Bing. Useful for obtaining a list of potentially helpful sites related to the user's inquiry.
URLParser[input]: Retrieves plaintext content from URLs provided in a newline-separated input string.
HyperlinkDetector[input]: Identifies hyperlinks within plaintext and returns them in a newline-separated format.
NLM[input]: Natural Language Model capable of answering queries based on supplied textual evidence. Queries should reference an :evidence[n]: variable (e.g., "What's the weather like, given :evidence1:?").

Output Format:
Plan: [Initial action based on input query]
:evidence0: = [Function to execute with input parameters]
Plan: [Subsequent action based on :evidence0:]
:evidence1: = [Next function to execute with input parameters, possibly referencing earlier evidence (e.g., "Context: :evidence0")]
...
Final Answer: [:evidence[n]: contains the ultimate solution]

Question: Which company developed the first smartphone and when was it released?


Instruction:
A chat. Create a step-by-step execution plan to respond to the following query, utilizing the listed tools. Each plan step will produce an evidence value, which is the output of a specific tool function given an input string that could be the original query, prior evidence values, or a combination of both.

Available tools:
DuckDuckGo[input]: A tool that enables users to perform searches using the DuckDuckGo search engine. It's helpful for identifying potential sources that might contain the answer to the user's query.
TextParser[input]: Takes one or more website URLs from the input string (separated by newlines) and outputs plain text containing the content of those pages.
HyperlinkHarvester[input]: Harvests hyperlinks from plain text and returns them as a newline-separated plain text response.
InfoBot[input]: A question-answering AI model adept at answering queries based on a provided context. The input should be a question referencing an :evidence[n]: variable.

Output format:
Plan: [Initial action based on input query]
:evidence0: = [Function to invoke with relevant parameters]
Plan: [Subsequent action based on outcome of :evidence0:]
:evidence1: = [Next function to invoke with its parameters, possibly referring to earlier evidence]
...
Final Answer: [:evidence[n]: containing the ultimate answer]

Question: Who wrote "To Kill a Mockingbird" and what other works did they publish?


Instruction:
A chat. Create a sequential plan to respond to the user query using the following tools. For each plan, indicate the tool and its input to gather evidence. Store the gathered evidence into a variable #E[index] that can be referenced later.

Available tools:
GoogleScholar[input]: A tool that allows users to search for academic papers and articles related to the input query.
PDFReader[input]: Reads PDF files from the provided link(s) and outputs plain text.
Summarizer[input]: Summarizes long texts into concise points.
AIQA[input]: An AI-powered tool that answers questions based on the provided context.

Each plan should be followed by exactly one evidence (#E[index]) value.

The output should be in format:
Plan: [first action to take based in input question]
#E1 = [function to call with input parameter]
Plan: [next action to take, based on result of #E1]
#E2 = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context #E1"]
...
Final answer: #E[n]

Question: What are the latest advancements in Quantum Computing according to recent research papers?


Instruction:
A chat. Generate a plan to discover the distance between New York City and Los Angeles by road.

Available tools:
- MapSearch[input]: Searches for locations and provides geographical information.
- DistanceCalculator[input1, input2]: Calculates the distance between two points.
- RoutePlanner[input1, input2]: Provides the best route between two locations including the total distance.
- QA[input]: Answers questions using general world knowledge or provided context.
- VerificationTool[input]: Verifies the accuracy of a given piece of information.

Output format:
Plan: initial action based on the query
:Evidence0: = function to use with its parameters
Plan: subsequent action, considering the outcome of :Evidence0:
:Evidence1: = [next function to apply along with its parameters, possibly referring to prior evidence, like "Considering context :Evidence0"]
...
Answer: [:Evidence[n]: Containing the final response.]


Instruction:
A chat. Create a comprehensive plan to respond to the user query, utilizing a variety of available tools. Each plan should correspond to an evidence value, representing the output of a specific function given an input string. The input string could be the user's question, prior evidence values, or a mix of both.

Available tools include:
WikiSearch[input]: Allows users to search Wikipedia for information. Useful for obtaining factual data about people, places, events, etc.
SiteScraper[input]: Loads one or more websites from an input string containing newline-separated links. Outputs plain text content from these links.
LinkDetector[input]: Detects links within plain text and outputs them as newline-separated strings.
QuerySolver[input]: A language model designed to answer questions based on an input text passage. References to previous evidence variables should be included in the input.

Each function requires a simple string as input. Concatenation of strings and evidence variables (like QuerySolver[What is the population of Brazil, given :evidence3:]?) is allowed but no quotes or "+" symbols should be used.

Only one evidence output should be included per plan step.

Output format should be:
Plan: [First action based on input question]
:evidence0: = [Function to call with input parameter]
Plan: [Next action based on result of :evidence0:]
:evidence1: = [Next function to call and input parameter, possibly referencing previous evidence like "Given context :evidence0"]
...
Final Answer: [:evidence[n] containing the final answer]

Question: Who was the first woman to win a Nobel Prize and what was her contribution to science?


Instruction:
A chat. Develop a comprehensive plan to address the following user inquiry using the supplied tools. Each plan will correlate to an evidence value, which will be the output of one of the accessible functions given an input string that may be the user's question, one or more earlier evidence values, or a mix of both.

Tools you can use include:
DuckDuckGo[input]: This tool lets users conduct information searches via the DuckDuckGo search engine.
HyperlinkHarvester[input]: This function extracts hyperlinks from plain text and provides a plain text list of hyperlinks.
SiteLoader[input]: This tool fetches one or more websites from an input string containing newline-separated links, where the input is one or more links, and generates plain text content from those links.
FactChecker[input]: This tool conducts a fact-checking search for relevant data based on the input string.
InquiryEngine[input]: This is a question-answering language model adept at responding to inquiries based on an input text passage. The input must be a text-based question referring to a #F[index] variable.

Output format:
Plan: [First action based on input question]
#F1 = [Function to call with input parameter]
Plan: [Next action based on the result of #F1]
...
Final Response: #F[n]

Question: Who was the first person to walk on the moon and when did it happen?


Instruction:
A chat. Create a sequential plan to respond to the following query utilizing the below mentioned tools. Each step in your plan should correspond to an evidence variable, which will store the output of the function you choose to execute at that step.

Available Tools:
DuckDuckGo[input]: A tool that lets users perform internet searches via DuckDuckGo. It returns a list of potential resources but does not provide direct answers.
URLExtractor[input]: Pulls out URLs from a body of text provided as input.
SiteReader[input]: Reads the content of one or more websites whose URLs are provided as input.
ALEX[input]: An AI language model capable of answering questions when provided with context from a :data[n]: variable.

Output Format:
Plan: [First action based on the question]
:data0: = [Function to call with its input]
Plan: [Subsequent action based on the outcome of :data0:]
:data1: = [Next function to call with its input, potentially referencing prior data]
...
Final Answer: :data[n]:

Question: How did the Battle of Waterloo affect Europe's political landscape?


Instruction:
A chat. Please generate a plan to answer the following question using the tools provided. Each step in your plan should be followed by an evidence variable, which will contain the output of one of the available functions given an input string that can be either the user's query, previous evidence values, or both.

Here are the tools you have at your disposal:
SearchEngine[input]: This tool allows the user to search for information on the internet. It returns a list of websites that may contain the answer to the user's question.
WebScraper[input]: This tool takes as input one or more URLs and outputs plain text containing the content of these links.
LinkExtractor[input]: This tool extracts links from plain text and produces a newline delimited response of links.
AIQA[input]: An AI-based Question Answering tool that answers questions based on an input passage of text. The input must be a text question that references a #E[n] variable.

The input to each function should be a plain string. Do not use quotes or "+" to concatenate a string with an evidence variable, e.g., AIQA[What is the capital of France, given #E3?]

Each plan step should only include one evidence output.

The output format should be:
Plan: [first action to take based on the input question]
#E1 = [function to call with input parameter]
Plan: [next action to take, based on result of #E1]
#E2 = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context #E1"]
...
Final answer: #E[n]

Question: Who won the Nobel Prize in Literature in 2010 and what was their most famous work?


Instruction:
A chat. Please generate a plan to answer the following question, using the tools provided. Each step in your plan should correspond to an evidence variable, which will be the output of one of the available functions given an input string that can be the user's query, previous evidence values, or both.

Here are the tools available to you:
Bing[input]: A tool that allows users to search for information on Bing. This tool is useful for finding a list of sites that may contain the answer to the user's question.
WebScraper[input]: Loads websites from the input string containing newline-delimited links. The input is one or more links and produces plain text output with the content of these links.
LinkExtractor[input]: Extracts links from plain text and produces a plain text, newline-delimited response of links.
QAModel[input]: A question-answering model that can answer questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable.

The output format should be as follows:
Plan: [first action to take based on the input question]
:evidence1: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence1:]
:evidence2: = [next function to call and input parameter, which may include reference to previous evidence]
...
Final Answer: [:evidence[n]: containing the final answer.]

Question: What is the historical significance of the Battle of Waterloo?


Instruction:
A chat. Generate a step-by-step solution for the following problem using these tools:
BingSearch[input]: Searches Bing for information.
YouTubeSearch[input]: Searches YouTube for relevant videos.
Transcriber[input]: Transcribes video content into text.
InfoExtractor[input]: Extracts specific information from a large body of text.
IntelligentResponder[input]: Responds intelligently to queries based on input context.

Question: Explain the process of DNA replication.


Instruction:
A chat. Please provide a detailed plan to solve the following problem using the tools provided. For each step, indicate the tool used along with its input to retrieve evidence. Store the evidence into a variable #E[index] that can be referred later.

Available Tools:
DuckDuckGo[input]: A tool that allows users to perform internet searches using DuckDuckGo search engine.
WebScraper[input]: Loads websites from the input string containing newline separated links and provides their content as plain text.
LinkFilter[input]: Filters relevant links from plain text and gives a plain text, newline separated list of links.
AIQA[input]: An AI-powered tool that answers questions using general world knowledge or context provided.

Output Format:
Plan: [action based on input question]
#E1 = [function to call with input parameter]
Plan: [subsequent action, based on result of #E1]
...
Final Answer: #E[n]

Question: Who won the Nobel Prize in Literature in 2020 and what was it awarded for?


Instruction:
A chat. Please create a detailed plan to respond to the user's instruction using the set of tools provided. For each step in your plan, assign an evidence value corresponding to the output of one of the available functions. This output could be based on the user's question, prior evidence values, or a combination of both.

These are the tools you can use:
WebSearch[input]: This tool enables users to perform an internet search for information. While it does not provide direct answers, it helps locate websites that may contain the required information.
PageScraper[input]: This tool extracts text from one or more websites provided in the input string, which contains newline-delimited links. The input comprises one or more links, and the output is plain text containing the website contents.
URLFinder[input]: This tool extracts URLs from plain text and provides a plain text, newline-separated list of links.
QuerySolver[input]: This is a question-answering language model. It is particularly effective when asked to answer questions based on a specific text passage. The input should be a textual question referencing a :source[n]: variable (e.g., What color is the car, given :source1:?).

Each function requires a simple string as input—no need for quotation marks or concatenation operators (+) to combine a string with a source variable (e.g., QuerySolver[What is the population of Canada, given :source2:?]).

Make sure to generate only one evidence output for each plan step.

Your output should follow this structure:
Plan: [First action based on the input question]
:source0: = [Function to call with input parameter]
Plan: [Next action, based on the outcome of :source0:]
:source1: = [Next function to call and its input parameter, possibly referring to previous evidence (e.g., Given context :source0)]
...
Final Answer: [:source[n]: Containing the ultimate answer.]

Question: What is the main storyline of the movie 'Inception' and who are the primary actors?


Instruction:
A chat. Please generate a plan to answer the following question using the available tools. Each step in your plan should be followed by an evidence variable that can be referenced in later steps.

Available Tools:
WebSearch[input]: A tool that allows you to search for information on the internet. The input is a string query, and the output is a list of relevant websites.
TextExtractor[input]: Extracts plain text from a given website URL. The input is a single URL, and the output is the text content of the webpage.
QAEngine[input]: Can answer questions based on general knowledge or given context. The input must be a question string, which may reference previous evidence variables.
ImageAnalyzer[input]: Analyzes images from a given URL and provides descriptions of what it sees. The input is a single image URL, and the output is a description of the image.

Output Format:
Plan: [first action]
#E1 = [function call with input]
Plan: [next action]
#E2 = [function call with input, possibly referencing #E1]
...
Final Answer: #En

Question: What is the main ingredient in Tiramisu and where does it originate?


Instruction:
A chat. Provide a detailed plan to solve the following problem using the provided tools. For each step, indicate the tool used along with its input and store the output as evidence.

Tools available:
DuckDuckGo[input]: A tool that performs a web search using DuckDuckGo.
PageReader[input]: This tool loads a webpage and returns its textual content.
URLCollector[input]: This tool extracts URLs from a block of text.
ALEX[input]: An AI language model capable of answering questions based on provided context.

Output Format:
Plan: [Describe the first step]
#E1 = [Tool to use with input]
Plan: [Describe the next step based on #E1]
#E2 = [Next tool to use with input]
...
Final Answer: #En

Question: Who wrote the book '1984' and what are some notable works by the same author?


Instruction:
A chat. Create a plan to answer the following question using the tools provided. For each step in your plan, provide an evidence variable that corresponds to the output of the function used in that step.

Here are the tools available to be called:
GoogleSearch[input]: Tool that allows the user to search for information using Google's search engine.
TextAnalyzer[input]: Analyzes text and extracts key pieces of information such as names, dates, places, etc.
LinkExtractor[input]: Extracts links from plain text.
WebScraper[input]: Scrapes web pages for content.
AnswerBot[input]: Answers questions based on input context. The input must be a text question that references an #E[n] variable.

The output should be in format:
Plan: [first action to take based in input question]
#E1 = [function to call with input parameter]
Plan: [next action to take, based on result of #E1]
#E2 = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context #E1"]
...
Final answer: #E[n]

Question: Who won the Nobel Prize in Literature in 2010 and what is their most famous work?


Instruction:
A chat. Develop a sequential plan to respond to the subsequent question utilizing the resources provided. Each step in the plan should lead to an evidence value, generated by invoking a function with an input string that can be the initial question, past evidence, or a blend of both.

These are the tools you have access to:
EncyclopediaSearch[input]: Allows the user to look up information from an online encyclopedia. While this tool may not provide direct answers, it often supplies useful background information.
DataParser[input]: Parses a chunk of text and condenses it into key points. This tool is especially helpful when dealing with extensive information.
QuerySolver[input]: Provides answers to questions based on common sense, general knowledge, or specific context gleaned from prior evidence.

Inputs to each function should be unadorned strings, without quotation marks or "+" signs for string concatenation, e.g., QuerySolver[Who invented the telephone, given :evidence2:?].

Ensure that each step in the plan corresponds to precisely one evidence output.

Output format:
Plan: [Initial action based on the question]
:evidence0: = [Invocation of function with input parameter]
Plan: [Following action, taking into account the result of :evidence0:]
:evidence1: = [Subsequent function invocation with input parameter, possibly referencing earlier evidence like "Given context :evidence0"]
...
Final Answer: [:evidence[n]: containing the ultimate answer.]

Question: Who was Albert Einstein and what is he best known for?


Instruction:
A chat. Devise a methodical plan to respond to the user request utilizing the tools at your disposal. Every step of the plan should correlate to an evidence value, representing the result of one of the functions when supplied with an input string. This string could be the user's question, previously obtained evidence values, or a mix of both.

Tools you can use:
YahooSearch[input]: Allows users to conduct searches via the Yahoo search engine. This tool helps locate potential websites that may contain answers to the user's inquiries.
HyperlinkExtractor[input]: Isolates hyperlinks from plain text and delivers a response comprising these hyperlinks in plain text, divided by newlines.
PageFetcher[input]: Accepts one or several websites from the input string (containing newline-separated links), fetches them, and yields plain text output covering the contents of these links.
Solver[input]: An AI model proficient in responding to questions based on a piece of input text. The input has to be a text-based question referring to a #E[n] variable, like 'What is the cat's age, given #E1?'.

Every function's input should be a simple, unadorned string, free of quotation marks or '+' signs used to combine a string with an evidence variable, such as Solver[What is Germany's official language, given #E3?].

Make sure each plan step includes only one evidence output.

The output format should be:
Plan: [First action predicated on the input question]
#E0 = [Function to execute with input parameter]
Plan: [Following action, based on the result of #E0]
#E1 = [Upcoming function to execute and its input parameter, possibly referencing preceding evidence, like 'Given context #E0']
...
Answer: [#E[n] containing the final solution.]

Question: Who is presently heading Amazon's drone delivery initiative and what notable progress have they achieved?


Instruction:
A chat. Please develop a step-by-step plan to generate an ideal response to the user instruction, using a set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
WebSearch[input]: Tool that allows the user to search for information from various websites. This tool is useful in finding a list of sites that may contain the answer to the user's question.
TextExtractor[input]: Extracts plain text from a website link provided as input and produces a readable output containing the content of the link.
LinkFinder[input]: Extracts links from plain text and produces a plain text, newline delimited response of links.
QAEngine[input]: Question answering engine, particularly useful in answering questions based on an input passage of text. The input must be a text question that references a #E[n] variable, e.g. What color is the cat, given #E1?

The input to each function should just be a plain string, without quotes or "+" to concatenate a string with an evidence variable, e.g. QAEngine[What is the capital of Michigan, given #E3?]

Remember to only include one evidence output per plan step.

The output should be in format:
Plan: [first action to take based in input question]
#E0 = [function to call with input parameter]
Plan: [next action to take, based on result of #E0]
#E1 = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context #E0"]
...
Answer: [#En containing the final answer.]

Question: Who won the 2022 World Series and what team do they play for?


Instruction:
A chat. Create a sequential plan to solve the following problem. For each step, specify the external tool to be used along with the input parameters. Store the outputs into variables #E[index] that can be referenced later.

Available Tools:
BingSearch[input]: Searches for information using Bing's search engine.
PDFReader[input]: Reads PDF files from provided URLs and extracts their text content.
URLFinder[input]: Finds URLs in the provided text.
KnowledgeBase[input]: Answers questions based on common knowledge and specific context provided as input.

Output Format:
Plan: [First action based on input question]
#E1 = [Function to call with input parameter]
Plan: [Next action based on #E1]
#E2 = [Next function to call with input, possibly referencing #E1]
...
Final Answer: #E[n]

Question: What are the safety precautions mentioned in the "XYZ Company Safety Manual" found online?


Instruction:
A chat. Devise a thorough blueprint to decipher the upcoming query. Each segment should nominate a function to initiate with its respective input. Retain the product of each function in a marked :Proof[index]: variable, which can henceforth be cited in later segments.

At disposal Functions:
YandexSearch[input]: Initiates a Yandex search for the input expression and garners an aggregation of probable references.
UriSeparator[input]: Provided a mass of text (like the output from a YandexSearch), this function pinpoints all URLs nestled within the text.
PortalRetriever[input]: Navigates to the page at the indicated URL and translates its contents into plain text.
AlphaMind[input]: A cutting-edge AI-driven question-answering module proficient at offering immediate resolutions to a broad spectrum of inquiries. It can also concoct answers banking on supplementary details (e.g., the text from a webpage).

Output Draft:
Plan: [Depiction of the opening step]
:Proof0: = [Opening step function initiation]
Plan: [Depiction of the following step]
:Proof1: = [Following step function initiation]
... Uphold this succession until ...
Final Answer: :ProofN:

Question: Who authored 'Pride and Prejudice' and what other literary works are they acclaimed for?


Instruction:
A chat. Develop a plan to answer the following question using the provided tools. Each step in your plan should have a corresponding evidence value, which will be the output of one of the available functions given an input string, which could be the user's question, prior evidence values, or both.

Available tools:
DuckDuckGo[input]: Allows users to search for information using the DuckDuckGo search engine. It finds a list of sites that might contain the answer to the user's question.
PlainTextExtractor[input]: Extracts plain text from a webpage given its URL.
LinkPicker[input]: Picks up links from plain text and provides a list of newline-separated links.
AIQA[input]: An AI-based question-answering model. Particularly useful in answering questions based on an input passage of text. The input must be a text question referencing an :evidence[n]: variable.

Output format:
Plan: [First action based on input question]
:evidence0: = [Function to call with input parameter]
Plan: [Next action based on the result of :evidence0:]
:evidence1: = [Next function to call and input parameter, possibly referring to previous evidence]
...
Answer: [:evidence[n]: Containing the final answer]

Question: What is the tallest building in New York City and when was it completed?


Instruction:
A chat. Please provide a step-by-step plan to answer the following user question, using the tools provided. Each step should be followed by an evidence value which will be the output of one of the available functions given an input string that can be the user's query, previous evidence values or both.

Here are the tools you can use:
Bing[input]: A tool that allows users to search for information using Bing search engine. This tool is useful in finding appropriate sites that may contain answers to the user's question.
WebCrawler[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkPicker[input]: Extracts links from plain text and produces a plain text, newline delimited response of links.
QAModel[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable.

The function inputs should just be plain strings without quotes or "+" to concatenate a string with an evidence variable, e.g., QAModel[What is the capital of France, given :evidence3:?]

Each plan should only include one evidence output.

The output format should be as follows:
Plan: [first action based on input question]
:evidence0: = [function to call with input parameter]
Plan: [next action based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, referencing previous evidence if necessary]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2020 and what is their most famous work?


Instruction:
A chat. Formulate a comprehensive plan to address the following inquiry, utilizing the tools at your disposal. Each plan will correspond to an evidence value, which is the output of one of the available functions given an input string that could be the user query, one or more preceding evidence values, or a mix of both.

Here are the tools available to be called:
InternetSearch[input]: Enables the user to perform an internet search to locate websites that might contain the answer to the user's question.
DataScraper[input]: Loads one or more websites from the input string containing newline-delimited links, where the input consists of one or more links, and generates plain text output containing the link contents.
LinkHarvester[input]: Harvests links from plain text and delivers a plain text, newline-separated list of links.
QAModel[input]: A question-answering model adept at answering questions based on an input text passage. The input must be a text question that refers to a *evidence[n]* variable, e.g., What is the tallest mountain, given *evidence1*?

Each function simply needs a plain string as input, without quotation marks or '+' symbols to connect a string with an evidence variable, like QAModel[What is the longest river, given *evidence3*?].

Ensure you only include one evidence output per plan step.

The output should adhere to this format:
Plan: [Initial action based on the input question]
*evidence0 = [Function to call with input parameter]
Plan: [Subsequent action, based on the result of *evidence0]
*evidence1 = [Next function to call and input parameter, potentially referring to earlier evidence, such as 'Given context *evidence0']
...
Final Answer: [*evidence[n], holding the final answer.]

Question: Who designed the Sydney Opera House and what were the unique architectural features incorporated into its design?


Instruction:
A chat. Create a step-by-step plan to answer the user's question using the available tools. Each step should have an associated evidence value, which will be the output of one of the functions given an input string that can be the user's query, previous evidence values, or both.

Here are the tools you can use:
WebSearch[input]: This tool allows users to search for information on the internet. The function doesn't directly provide answers; it finds sites that may contain the required information.
TextScraper[input]: Extracts text from websites provided in the input string containing newline-separated links. The input is one or more links and the output is plain text content from these links.
LinkExtractor[input]: Pulls out links from plain text and provides a response with newline-separated links.
AnswerBot[input]: A language model capable of answering questions based on an input passage of text. The input must be a text question referencing an :evidence[n]: variable, e.g., What is the population of Paris, given :evidence1:?

The input to each function should be a simple string without quotes or "+" to concatenate a string with an evidence variable, e.g., AnswerBot[What is the capital of France, given :evidence2:?]

Each plan step should include only one evidence output.

The output format should be as follows:
Plan: [first action based on the input question]
:evidence0: = [function to call with input parameter]
Plan: [next action based on the result of :evidence0:]
:evidence1: = [next function to call and input parameter, which might reference previous evidence, e.g., "Given context :evidence0"]
...
Final Answer: [:evidence[n]: containing the final answer.]

Question: Who was the architect behind the design of the Sydney Opera House and what other notable structures did they design?


Instruction:
A chat. Create a plan to find out which country won the most gold medals in the 2008 Summer Olympics and who their top performing athlete was, using the following tools. Store each piece of evidence in a variable #E[index].

Available Tools:
WikiLookup[input]: Searches Wikipedia for information related to the input query.
AthleteStats[input]: Retrieves statistical data about athletes, including their performance in various competitions.
CountryMedalTally[input]: Provides medal tally information for countries in different Olympic games.
QAModel[input]: Answers questions based on provided context.

Output Format:
Plan: [action]
#E1 = [tool(input)]
...
Final Answer: #En

Question: Which country won the most gold medals in the 2008 Summer Olympics and who was their top performing athlete?


Instruction:
A chat. Create a step-by-step plan to respond to the following query using the listed tools. Every plan should correspond to an evidence value produced by executing one of the provided functions with either the user’s question, previously obtained evidence, or a combination thereof as input.

Tools at your disposal:
DuckDuckGo[input]: A tool enabling users to perform searches via DuckDuckGo. It helps locate potentially helpful sites but does not directly provide answers.
PageLoader[input]: Loads one or multiple websites specified in the input string (which contains newline-separated links) and returns their textual content.
URLCollector[input]: Gathers URLs from plaintext and outputs them as newline-separated strings.
InfoProcessor[input]: An AI model capable of answering queries based on provided context. The input should be a question referencing an :evidence[n]: variable.

Output format:
Plan: [Initial course of action derived from the user’s question]
:evidence0: = [Function to execute along with input parameters]
Plan: [Subsequent course of action informed by :evidence0:]
:evidence1: = [Next function to run along with its inputs, possibly including prior evidence]
…
Final Answer: [:evidence[n]: holding the ultimate answer]

Question: Who wrote "War and Peace" and what other works did they author?


Instruction:
A chat. Please provide a step-by-step plan to answer the following question, using the tools provided. Each tool should be used at least once and each plan will have an associated evidence value which is the output of one of the available functions given an input string that can be the user's question, previous evidence values or both.

Here are the tools available to be called:
WebSearch[input]: This tool allows you to search for information from various sources on the internet. The input to this function should be a query string.
DocumentParser[input]: Extracts useful information from documents in text format. Input is plain text document content.
LinkExtractor[input]: Extracts links from plain text and produces a plain text response with newline delimited links.
QAEngine[input]: A question answering engine that answers questions based on common sense, general world knowledge and context from previous evidence. The input must be a text question referencing an :evidence[n]: variable.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence]
...
Answer: [:evidence[n]: containing the final answer.]

Question: What was the impact of the Spanish flu pandemic on the global economy?


Instruction:
A chat. Develop a detailed plan to respond to the user's inquiry using the tools at your disposal. Each plan should correspond to an evidence value, which is the output of one of the available functions given an input string that could be the user's question, prior evidence values, or a combination of both.

Here are the tools available to be called:
DuckDuckGo[input]: A tool that enables the user to conduct a search for information using the DuckDuckGo search engine. It helps in locating a list of sites that might contain the answer to the user's question.
WebScraper[input]: Loads one or more websites from the input string, which contains newline-separated links. The input consists of one or more links, and the output is plain text containing the content of those links.
URLCollector[input]: Extracts links from plain text and generates a plain text, newline-separated list of links.
AIME[input]: A question-answering language model, especially effective at answering queries based on an input text passage. The input has to be a textual question that refers to an :evidence[n]: variable, such as 'What colour is the dog, given :evidence1:?'.

The output should follow this format:
Plan: [First action to undertake based on the input question]
:evidence0: = [Function to call with its input parameter]
Plan: [Next action to perform, based on the outcome of :evidence0:]
:evidence1: = [Next function to call and its input parameter, which might refer to previous evidence, e.g., 'Given context :evidence0']
...
Answer: [:evidence[n]: Containing the final answer.]

Question: Who invented the telephone and when was the first successful test conducted?


Instruction:
A chat. Create a plan to solve the following problem using the available tools. For each step, provide the corresponding evidence value which will be the output of one of the functions given an input string.

Tools available:
DuckDuckGo[input]: A tool that enables users to perform internet searches using DuckDuckGo.
TextScraper[input]: Loads one or more websites from the input string (containing newline-delimited links) and returns the text content of those pages.
LinkFinder[input]: Extracts links from plaintext and returns them as a newline-delimited list.
InfoBot[input]: An AI model capable of answering questions based on provided context. It requires a text question referencing an :evidence[n]: variable.

Output format:
Plan: [First action based on input question]
:evidence0: = [Function to call with input parameter]
Plan: [Next action based on result of :evidence0:]
:evidence1: = [Next function to call with input parameter, possibly referencing previous evidence]
...
Final Answer: [:evidence[n]: Containing the final answer]

Question: Who won the 2020 Nobel Prize in Literature and what are some of their notable works?


Instruction:
A chat. Develop a plan to answer the following question using the provided tools. Each step should correspond to an evidence variable representing the output of a specific function, given an input string derived from the user's question, previous evidence variables, or both.

Available Tools:
1. GoogleScholar[input]: Searches academic papers and articles using Google Scholar. Provides a list of scholarly works that may contain the answer.
2. PaperReader[input]: Reads academic papers and extracts key findings and conclusions. Input is a URL or DOI of a paper.
3. AcademicQA[input]: Answers complex academic questions based on an input passage of text.

Output Format:
Plan: [Initial action based on input question]
#Evidence1 = [Function to call with input parameter]
Plan: [Subsequent action based on #Evidence1]
#Evidence2 = [Next function to call with input parameter, possibly referring to earlier evidence]
...
Final Answer: #Evidence[n]

Question: What are the main causes of climate change according to recent scientific studies?


Instruction:
A chat. Create a step-by-step plan to answer the user's question using the available tools. Each step should have an associated evidence value, which will be the output of one of the functions given an input string that can be the user's question, previous evidence values, or both.

Here are the tools available to be called:
WebSearch[input]: Tool that allows the user to search for information on the web. This tool is useful in finding sites that may contain the answer to the user's question.
TextScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
LinkPicker[input]: Extracts relevant links from plain text and provides a plain text, newline delimited response of links.
KnowledgeBase[input]: Question answering model, particularly effective at answering questions based on an input passage of text. The input must be a text question that references a :data[n]: variable, e.g., What color is the dog, given :data1:?

The function input should just be a plain string, without quotes or "+" to concatenate a string with a data variable, e.g., KnowledgeBase[What is the capital of France, given :data2:?]

Each plan step should only include one evidence output.

The output should be in format:
Plan: [first action to take based on input question]
:data0: = [function to call with input parameter]
Plan: [next action to take, based on result of :data0:]
:data1: = [next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :data0"]
...
Answer: [:data[n]: containing the final answer.]

Question: Who was the architect behind the design of the Eiffel Tower and what other significant structures did they design?


Instruction:
A chat. Please develop a plan to answer the following question using the tools provided. For each step, indicate which tool will be used and what input it will receive. The output of each tool should be stored in a variable #E[index] for use in subsequent steps.

The available tools are as follows:
SearchEngine[input]: A function that performs an internet search based on the input string. It returns a list of potential sources containing relevant information.
ArticleReader[input]: This tool reads articles from given URLs and extracts their text content.
LinkExtractor[input]: Extracts links from plain text and produces a plain text, newline delimited response of links.
QAmodel[input]: A tool that can answer questions based on general knowledge or given context. The input must be a question referencing one or more :evidence[n]: variables.

Each plan should correspond with exactly one evidence (#E[index]) value.

Output format:
Plan: [first action]
#E1 = [function call with input parameter]
Plan: [next action based on result of #E1]
#E2 = [next function call with input parameter, possibly referencing previous evidence]
...
Final Answer: #E[n]

Question: What is the history of the Eiffel Tower and who were its main architects?


Instruction:
A chat. Create a step-by-step plan to answer the following question, using the tools provided. Each step in your plan should correspond to an evidence value, which will be the output of one of the available functions given an input string that can be the user's query, previous evidence values, or both.

Here are the tools you have at your disposal:

1. SearchEngine[input]: This tool allows users to search for information using a popular search engine. It is useful for finding a list of sites that may contain the answer to the user's question. The function doesn't directly provide an answer; it finds a list of websites that might have the answer.
2. TextExtractor[input]: This tool extracts plain text from one or more websites specified by the input string containing newline delimited links. Input is one or more URLs and produces plain text output containing the content of those pages.
3. LinkFinder[input]: Extracts links from plain text and produces a plain text, newline-delimited response of links.
4. InfoBot[input]: A language model capable of answering questions based on an input passage of text. The input must be a text question referencing a #E[n] variable, e.g., "What color is the cat, given #E1?"

The input to each function should be a simple string without quotes or "+" to concatenate a string with an evidence variable, e.g., InfoBot[What is the capital of France, given #E3?]

Remember to include only one evidence output per plan step.

The output format should be as follows:
Plan: [first action based on input question]
#E0 = [function to call with input parameter]
Plan: [next action based on result of #E0]
#E1 = [next function to call and input parameter, including reference to previous evidence if necessary, e.g., "Given context #E0"]
...
Final Answer: #E[n]

Question: Who is the current Prime Minister of Japan and what significant policies have they implemented?


Instruction:
A chat. Develop a step-by-step plan to respond to the user's query using the available tools. Each stage of the plan will have an associated evidence value, which is the output from one of the available functions given an input string that could be the user's question, one or more previous evidence values, or a combination of both.

Here are the tools available to be called:
Bing[input]: Tool that allows the user to search for information using the Bing search engine. This tool is useful in finding a list of sites that may contain the answer to the user's question. The function doesn't directly answer the question; it finds a list of sites that might have the answer.
WebCrawler[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
URLExtractor[input]: Extract URLs from plain text and produces a plain text, newline delimited response of URLs.
NLPModel[input]: Natural Language Processing model that can answer questions based on an input passage of text. The input must be a text question that references a :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Physics in 2020 and what was their contribution?


Instruction:
A chat. Develop a plan to answer the following question using the tools listed below. For each step in your plan, generate an evidence value, which corresponds to the output of one of the available functions given an input string that could be the user's question, prior evidence values, or a combination of both.

Available tools include:
DuckDuckGo[input]: Allows users to conduct an internet search via DuckDuckGo. Returns a list of potential websites that might contain the answer to the user's question.
WebReader[input]: Reads and extracts plain text from one or more websites when provided with a link(s).
HyperlinkDetector[input]: Detects hyperlinks within plain text and outputs them as a newline-separated list.
InfoBot[input]: An AI-powered question answering system that can provide answers based on a given context. The input must be a textual question that refers to an :evidence[n]: variable.

Each function accepts a simple string as input, without quotation marks or "+" symbols to concatenate a string with an evidence variable (for example, InfoBot[Who won the World Series in 2020, given :evidence4:?]).

The output should follow this structure:
Plan: [initial action]
:evidence0: = [function name with input parameter]
Plan: [subsequent action, dependent on the outcome of :evidence0:]
:evidence1: = [following function name and input parameter, potentially referring back to earlier evidence]
...
Answer: [:evidence[n]: contains the ultimate response].

Question: Who is the author of the book "To Kill a Mockingbird" and what other works have they written?


Instruction:
A chat. Create a plan to answer the following query using the provided tools. Each step in your plan should correspond to an execution command that uses one of these tools, and each command should store its output into an Evidence variable (#E[index]).

Available Tools:
WikiSearch[input]: Searches Wikipedia for articles related to the input string.
TextAnalyzer[input]: Analyzes a body of text and answers questions about it.
LinkCollector[input]: Collects all URLs contained within a body of text.
SiteLoader[input]: Loads the full text of a website given its URL.

Your plan should follow this format:
Plan: [description of first step]
#E1 = [command using one of the tools]
Plan: [description of next step]
#E2 = [command using one of the tools, possibly referencing #E1]
...
Answer: [#E[n], representing the final answer]

Question: What is the origin story of Batman and who were his creators?


Instruction:
A chat. Create a sequential plan to respond to the user query utilizing the following tools at your disposal. For each step, provide the necessary function call and store its output as evidence.

Tools:
DuckDuckGo[input]: A tool that enables users to conduct a general internet search via DuckDuckGo search engine.
SiteLoader[input]: Loads the content of a single website provided in the input.
URLFinder[input]: Finds URLs embedded within a block of text.
ALEX[input]: An AI-based question-answering system capable of interpreting context and providing answers.

Output Format:
Step: [action description]
#E[index] = [tool name and input]
...
Final Answer: #E[last index]

Question: When was the first iPhone released and what were its unique features?


Instruction:
A chat. Develop a sequential plan to resolve the user's query using the tools listed below. Each step should yield an evidence value corresponding to the output of a specified function with its respective input string.

Available Tools:
1. YahooSearch[input]: Enables users to search for information through the Yahoo search engine. Ideal for identifying potential sources of information relating to the user's query.
2. PageLoader[input]: Accepts a string of newline-separated URLs and retrieves plain text content from these pages.
3. HyperlinkExtractor[input]: Gleans hyperlinks from plain text and presents them as newline-separated strings.
4. BOB[input]: A language model capable of answering queries based on a referenced passage of text. The input should pose a question referencing a :info[n]: variable, e.g., When was the Declaration of Independence signed, given :info1:?

Inputs to each function should merely consist of a plain string devoid of special characters used to concatenate it with an info variable, e.g., BOB[Who wrote Pride and Prejudice, given :info2:?]

Include just one evidence output per plan step.

Output Format:
Plan: [Initial action predicated on input question]
:info0: = [Function to invoke with input parameter]
Plan: [Subsequent action contingent on :info0:'s outcome]
:info1: = [Next function to invoke with input parameter, potentially referencing prior info, e.g., "In light of :info0"]
...
Final Answer: [:info[n]: Contains the conclusive answer.]

Question: Who invented the World Wide Web and what were the key developments leading to its creation?


Instruction:
A chat. Please formulate a comprehensive strategy to tackle the ensuing inquiry. Every stage should detail a function to execute alongside its input. Capture the result of each function in a designated :Info[index]: variable, which can then be referred to in subsequent stages.

Accessible Functions:
AskJeeves[input]: Performs an Ask Jeeves search for the input phrase and delivers a collection of possible sources.
HyperlinkExtractor[input]: When fed a block of text (like the output from an AskJeeves search), this function identifies all URLs embedded within the text.
PageLoader[input]: Accesses the page at the provided URL and converts its contents into plain text.
BrainNet[input]: A sophisticated AI-powered question-answering mechanism capable of delivering straightforward replies to a wide range of inquiries. It can also formulate answers based on contextual data (e.g., the text from a webpage).

Output Blueprint:
Plan: [Outline of the initial step]
:Info0: = [Initial step function execution]
Plan: [Outline of the subsequent step]
:Info1: = [Subsequent step function execution]
... Maintain this sequence until ...
Final Answer: :InfoN:

Question: Who painted 'The Starry Night' and what other artworks are they known for?


Instruction:
A chat. Create a step-by-step plan to solve the problem below using the available tools. Each plan should correspond to an evidence value, which will be the output of one of the functions when given an input string.

Here are the tools you can use:
DuckDuckGo[input]: A tool that enables users to perform searches using DuckDuckGo's search engine. It finds potential sources of answers but doesn't directly answer the question.
PageScraper[input]: Loads one or more websites from the input string containing newline-delimited links. The input is one or more links, and the output is plain text containing the content of the links.
URLExtractor[input]: Extracts URLs from plain text and outputs a plain text, newline-delimited response of URLs.
QueryMaster[input]: A question-answering language model that answers questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g., How tall is the Eiffel Tower, given :evidence1:?

Remember, each function needs just a plain string as input, without quotes or "+" to concatenate a string with an evidence variable, e.g., QueryMaster[What is the capital of Spain, given :evidence3:?]

Make sure to include only one evidence output per plan step.

The output should follow this format:
Plan: [First action based on input question]
:evidence0: = [Function to call with input parameter]
Plan: [Next action based on result of :evidence0:]
:evidence1: = [Next function to call and input parameter, which may include reference to previous evidence, e.g., "Given context :evidence0"]
...
Final Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2019 and what is their most famous work?


Instruction:
A chat. Create a systematic plan to respond to the user's instruction using the provided tools. Each step in your plan should correspond to an evidence value, which will be the output of one of the available functions given an input string that could be the user's question, prior evidence values, or both.

Available Tools:
1. DuckDuckGo[input]: A tool allowing users to search for information via the DuckDuckGo search engine. While it does not provide direct answers, it offers a list of potentially useful sites.
2. WebCrawler[input]: Loads one or more websites from the input string (containing newline delimited links) and outputs plain text content from these links.
3. URLExtractor[input]: Pulls out links from plain text, providing a plain text, newline delimited list of links.
4. AnswerBot[input]: A question-answering language model capable of answering queries based on a given passage of text. The input should be a textual question that references an :evidence[n]: variable.

Output Format:
Plan: [Initial Action]
:evidence0: = [Function Call With Input Parameter]
Plan: [Subsequent Action Based On Result Of :evidence0:]
:evidence1: = [Next Function Call And Input Parameter, Potentially Referring To Previous Evidence]
...
Final Response: [:evidence[n]: Containing The Final Answer]

Question: Who founded Amazon and what are some notable products they've launched?


Instruction:
A chat. Generate a plan to answer the user's question using the tools below. Each plan should have a corresponding evidence value.

Tools Available:
1. BingSearch[input]: Searches Bing for information.
2. DataInterpreter[input]: Interprets data and extracts useful information.
3. QABot[input]: Answers questions using AI technology.

Output Format:
Plan: [First Step]
$E1 = [Tool with Input]
Plan: [Second Step]
$E2 = [Next Tool with Input]
...
Final Answer: $En

Question: What is the population of Tokyo and how has it changed over the past decade?


Instruction:
A chat. Generate a plan to answer the following question using the available tools. Each step in your plan should correspond to an evidence value, which will be the output of one of the functions given an input string that can either be the user's query, previous evidence values, or both.

Here are the tools you can use:
Bing[input]: This tool allows users to search for information using Bing. It is useful for finding a list of sites that may contain the answer to the user's question.
TextScraper[input]: This function extracts text from one or more websites provided as newline-separated links in the input string.
LinkCollector[input]: This tool extracts links from plain text and produces a plain text response with newline-separated links.
KnowledgeBase[input]: A question answering model capable of providing answers based on an input passage of text. The input must be a text question referencing an :evidence[n]: variable, e.g., What color is the dog, given :evidence1:?

The input to each function should be a plain string without quotes or "+" for concatenating a string with an evidence variable, e.g., KnowledgeBase[What is the capital of France, given :evidence2:?]

Remember to include only one evidence output per plan step.

The output format should be:
Plan: [first action based on the input question]
:evidence0: = [function call with input parameter]
Plan: [next action based on the result of :evidence0:]
:evidence1: = [next function call and input parameter, possibly referring to previous evidence, e.g., "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2019 and what is their most famous work?


Instruction:
A chat. Please generate a plan to answer the following question using the available tools. Each step of your plan should be followed by an evidence variable that will store the output of the function used in that step.

Available Tools:
Bing[input]: A tool that uses Bing search engine to find relevant websites for the input query.
TextAnalyzer[input]: This tool can analyze a given text and extract key information from it.
LinkPicker[input]: Picks out links from a provided text.
KnowledgeBase[input]: A tool that can answer questions based on general knowledge or specific context provided as input.

Output Format:
Plan: [first action]
#Evidence1 = [function with input parameter]
Plan: [next action]
#Evidence2 = [function with input parameter, possibly referencing previous evidence]
...
Final Answer: #Evidence[n]

Question: What is the history behind the construction of Eiffel Tower and who were the main architects involved?


Instruction:
A chat. Create a plan to respond to the user's query using the tools at your disposal. For each step in your plan, indicate the corresponding evidence value, which will be the output of a function given an input string (the user's question, prior evidence values, or both).

Available tools include:
DuckDuckGo[input]: Allows users to conduct searches via DuckDuckGo. Useful for identifying potential sources of information.
WebReader[input]: Reads the contents of a web page when provided with a URL. Outputs the plain text found on the page.
URLPicker[input]: Identifies URLs within a block of text and returns a list of these.
AskJeeves[input]: An AI language model capable of answering questions when provided with a context. Inputs should reference an :evidence[n]: variable.

The output should follow this structure:
Plan: [initial action]
:evidence0: = [call to function with appropriate input]
Plan: [subsequent action, influenced by outcome of :evidence0:]
:evidence1: = [next function call with input parameters, potentially referencing earlier evidence]
...
Final Response: [:evidence[n]: providing the final answer.]

Question: What does the company SpaceX do and what notable achievements have they had?


Instruction:
A chat. Generate a sequential plan to address the user request leveraging the available tools. Each step in the plan corresponds to an evidence value which is the outcome of a specific function. The input can be either a user query, previous evidence values, or a mix of both.

Tools at disposal:
NetSearch[input]: A tool that enables users to fetch information through internet search engines. This tool helps in locating a list of potential sites that may hold the answer to the user's query.
DataScraper[input]: Loads one or more websites from the input string (containing newline separated links). Input here is one or more URLs and it outputs plain text containing the website contents.
HyperlinkExtractor[input]: Extracts hyperlinks from plain text and provides a plain text, newline-separated list of links.
AIModel[input]: A language model adept at answering questions based on an input text. The input has to be a textual question that refers to an :evidence[n]: variable.

Output Format:
Plan: [Initial action based on the input query]
:evidence0: = [Invoke function with input parameters]
Plan: [Subsequent action based on the outcome of :evidence0:]
:evidence1: = [Invoke next function with input parameters, potentially referring to prior evidence like "Given context :evidence0"]
...
Answer: [:evidence[n]: holding the final answer.]

Question: Who designed the Eiffel Tower and what materials were used in its construction?


Instruction:
A chat. Please create a step-by-step plan to generate an ideal response to the user instruction, making use of a set of available tools.

Here are the tools available to be called:
BingSearch[input]: Tool that allows the user to search for information using Bing's search engine.
TextAnalyzer[input]: Analyzes a block of text and extracts key phrases and topics.
QAEngine[input]: Question answering engine, particularly useful in answering questions based on an input passage of text.

The output should be in format:
Plan: [first action to take based in input question]
#E1 = [function to call with input parameter]
Plan: [next action to take, based on result of #E1]
#E2 = [next function to call and input parameter, which may include reference to previous evidence]
...
Final answer: #E[n]

Question: Who won the Nobel Prize in Literature in 2020 and what was their most famous work?


Instruction:
A chat. Please provide a systematic plan to generate an appropriate response to the user instruction, making use of the set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string.

Here are the tools available to be called:
BingSearch[input]: Tool that allows the user to search for information using Bing. This tool is helpful in finding an appropriate list of sites that may include the answer to the user's question.
TextAnalyzer[input]: Analyzes the text from the input string and extracts key points.
URLCollector[input]: Collects URLs from the input string and produces a plain text, newline-delimited response of URLs.
QAModel[input]: Language model designed to answer questions based on an input passage of text.

The output should be in format:
Plan: [first action to take based in input question]
:Evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :Evidence0:]
:Evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :Evidence0"]
...
Answer: [:Evidence[n]: containing the final answer.]

Question: Who won the 2020 US Presidential Election and what were their main campaign promises?


Instruction:
A chat. Please construct a systematic plan to generate an optimal response to the user instruction, utilizing a set of provided tools. Each plan will correspond to an evidence value, which will be the output of one of the available functions given an input string
that could be the user's question, one or more prior evidence values, or a combination of both.

Here are the tools available to be called:
DuckDuckGo[input]: Tool that enables the user to search for information using the DuckDuckGo search engine. This tool is helpful in locating a suitable list of sites that may contain the answer to the user's query. It does not directly answer the question but finds a list of sites that might have the answer.
TextScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
HyperlinkExtractor[input]: Extract links from plain text and produces a plain text, newline delimited response of links.
KnowledgeModel[input]: Question answering language model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The output should be in format:
Plan: [first action to take based on input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Literature in 2020 and what is their most famous work?


Instruction:
A chat. Please create a step-by-step plan to generate an ideal response to the user instruction, making use of a set of available tools. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user question, one or more previous evidence values, or a mixture of both.

Here are the tools available to be called:
Bing[input]: Tool that allows the user to search for information using the Bing search engine. This tool is useful in finding an appropriate list of sites that may or may not include the answer to the user's question.
PDFReader[input]: Load one or more PDF files from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the PDFs.
URLExtractor[input]: Extract URLs from plain text and produces a plain text, newline delimited response of URLs.
SAM[input]: Question answering model, particularly useful in answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable, e.g. What color is the cat, given :evidence1:?

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence, e.g. "Given context :evidence0"]
...
Answer: [:evidence[n]: containing the final answer.]

Question: Who won the Nobel Prize in Physics in 2020 and what was their contribution?


Instruction:
A chat. Generate a step-by-step plan to answer the user's question using the available tools. Each step should produce an evidence value which corresponds to the output of one of the provided functions.

Tools available:
YahooSearch[input]: Allows the user to search for information using Yahoo.
SiteReader[input]: Reads one or more websites from the input string (newline-separated links) and outputs the content in plain text.
HyperlinkGatherer[input]: Extracts hyperlinks from plain text and returns them in a newline-separated format.
AIQA[input]: An artificial intelligence model designed to answer questions based on an input text passage.

Output format:
Plan: [First action based on the input question]
:Evidence1: = [Function to call with input parameter]
Plan: [Next action, based on the result of :Evidence1:]
:Evidence2: = [Next function to call and input parameter, possibly referring to previous evidence, e.g., "Given context :Evidence1:"]
...
Answer: [:EvidenceN:, containing the final answer.]

Question: What is the highest peak in the Andes and how high is it?


Instruction:
A chat. Formulate a plan to address the following inquiry using the provided tools. For each plan, assign an evidence variable.

Tools:
YahooSearch[input]: Function that searches Yahoo for information. Provides a list of potential sources containing the answer.
SiteLoader[input]: Takes one or more links as input and returns the textual content of those links.
HyperlinkGatherer[input]: Gathers hyperlinks from any given plain text and returns them in a line-separated format.
QAModel[input]: An AI model capable of answering questions when provided with contextual information.

Output Format:
Plan: [Initial action]
$Evidence1 = [Tool invocation with input]
Plan: [Subsequent action]
$Evidence2 = [Next tool invocation with input, potentially referencing $Evidence1]
...
Final Answer: $EvidenceN

Question: Who is the founder of SpaceX and what was their primary reason for starting the company?


Instruction:
A chat. Create a detailed plan to solve the following problem using the available tools. Each plan should have an associated evidence variable, which represents the output of a function when given an input string. This input string could be the user's query, prior evidence variables, or a combination of both.

These are the tools at your disposal:
WikiSearch[input]: Allows users to look up information on Wikipedia. It's useful for finding factual information about various topics.
URLGrabber[input]: Retrieves all URLs contained within a block of text.
TextAnalyzer[input]: Analyzes a block of text and provides a summary.
QueryBot[input]: Answers questions based on an input passage of text.

Your output should follow this structure:
Plan: [the first step based on the input question]
#E1 = [the function to call with its input parameter]
Plan: [the next step, depending on the outcome of #E1]
#E2 = [the next function to call with its input parameter, possibly referencing previous evidence]
...
Final Answer: #E[n]

Question: What is the history behind the construction of the Eiffel Tower and why was it built?


Instruction:
A chat. Create a detailed execution plan to solve the user's question using the following tools. Each step of the plan should have a corresponding evidence variable which will hold the output of the function used at that step.

Tools available:
DuckDuckGo[input]: A tool that lets you perform searches using DuckDuckGo search engine.
PageLoader[input]: Loads a webpage from the provided link and returns its textual content.
URLPicker[input]: Picks URLs from the provided text.
InfoProcessor[input]: A language model that answers questions based on the provided context. It requires a question that refers to an :info[n]: variable.

Output format:
Plan: [First action]
:info0: = [Function with input]
Plan: [Next action based on :info0:]
:info1: = [Next function with input including possible reference to :info0:]
...
Final Answer: :info[n]:

Question: Who won the 2020 Nobel Prize in Physics and what was their contribution?


Instruction:
A chat. Generate a step-by-step plan to respond to the user's instruction using the tools provided. Each plan will have a corresponding evidence value, which will be the output of one of the available functions given an input string that can be the user's question, one or more previous evidence values, or a combination of both.

Here are the tools available to be called:
YahooSearch[input]: Tool that allows the user to search for information using the Yahoo search engine. It finds a list of sites that might contain the answer to the user's question.
TextScraper[input]: Load one or more websites from the input string containing newline delimited links, where input is one or more links, and produces plain text output containing the content of the links.
URLExtractor[input]: Extract links from plain text and produces a plain text, newline delimited response of links.
QAModel[input]: Language model for answering questions based on an input passage of text. The input must be a text question that references an :evidence[n]: variable.

The output should be in format:
Plan: [first action to take based in input question]
:evidence0: = [function to call with input parameter]
Plan: [next action to take, based on result of :evidence0:]
:evidence1: = [next function to call and input parameter, which may include reference to previous evidence]
...
Answer: [:evidence[n]: containing the final answer.]

Question: What is the tallest building in Dubai and when was it completed?