module llmfunction export wikisearch, winestock using HTTP, JSON3, URIs using GeneralUtils using ..type, ..utils #------------------------------------------------------------------------------------------------100 """ Search wikipedia. Arguments: query (string): The query to search for Returns: string: The search result text from wikipedia ```jldoctest julia> using HTTP, JSON3 julia> result = wikisearch("AMD") "Advanced Micro Devices, Inc., commonly abbreviated as AMD, is an ..." ``` """ function wikisearch(a::agentReflex, phrase::T) where {T<:AbstractString} phrase = phrase[1] == " " ? phrase[2:end] : phrase # prepare input phrase if occursin("\"", phrase) phrase = GeneralUtils.getStringBetweenCharacters(phrase, "\"", "\"") end phrase = replace(phrase, "\n"=>"") url = "https://en.wikipedia.org/w/api.php?action=query&format=json&prop=extracts&titles=$(replace(phrase, " " => "%20"))&exintro=1&explaintext=1" @show url response = HTTP.get(url) json_data = JSON3.read(String(response.body)) page_id = first(keys(json_data["query"]["pages"])) if page_id == "-1" return "Sorry, I couldn't find any Wikipedia page for the given phrase." end result = nothing try result = json_data["query"]["pages"][page_id]["extract"] wiki = result @show wiki catch result = "No info available for your search query." end # if result == "" # result = "No info available for your search query." # else # result = makeSummary(a, result) # end return result end function winestock(a::agentReflex, phrase::T) where {T<:AbstractString} result = """ I found the following wines { 1: { Chateau: Louis Latou, name: Corton-Charlamagne, grape variety: chardonnay, year: 2014, price: 55 USD, stock ID: ws-114, Description: Corton-Charlemagne 2018 is a powerful, complex wine. Its nose is intense, with notes of white stone fruits such as white peach, fresh hazelnut, vanilla, and almond paste. The wine is full-bodied for the palate, and the vanilla is complemented by aromas of fresh almond and lime blossom. The experience ends with a very fine aromatic aftertaste that has subtle saline notes., }, 2: { Chateau: Beaucastel, name: Malbec Argentino, grape variety: riesling, year: 2016, price: 39 USD, stock ID: ed-23, Description: The quintessence of Château de Beaucastel, Hommage à Jacques Perrin delights us every year, and the 2019 vintage is no exception. To the eye it offers a splendid deep red color, verging on black. Full of power and supremely elegant, the nose is of magnificent aromatic complexity with notes of black fruit and spices that offer all the characteristic expression of Mourvèdre. Perfectly balanced by an incredible freshness, the mouth is eminently elegant with intense and complex aromas of great subtlety, a full, refined texture, subtle tannins of great finesse, and infinite length. A great classic Hommage à Jacques Perrin., } } """ return result end """ Arguments: Return: Example: ```jldoctest julia> using ChatAgent, CommUtils julia> agent = ChatAgent.agentReflex("Jene") julia> shorttermMemory = OrderedDict{String, Any}( "user" => "What's the latest AMD GPU?", "Plan 1:" => " To answer this question, I will need to search for the latest AMD GPU using the wikisearch tool.\n", "Act 1:" => " wikisearch\n", "Actinput 1:" => " amd gpu latest\n", "Obs 1:" => "No info available for your search query.", "Act 2:" => " wikisearch\n", "Actinput 2:" => " amd graphics card latest\n", "Obs 2:" => "No info available for your search query.") julia> guideline = "\nEvaluation Guideline:\n1. Check if the user's question has been understood correctly.\n2. Evaluate the tasks taken to provide the information requested by the user.\n3. Assess whether the correct tools were used for the task.\n4. Determine if the user's request was successfully fulfilled.\n5. Identify any potential improvements or alternative approaches that could be used in the future.\n\nThe response should include:\n1. A clear understanding of the user's question.\n2. The tasks taken to provide the information requested by the user.\n3. An evaluation of whether the correct tools were used for the task.\n4. A confirmation or explanation if the user's request was successfully fulfilled.\n5. Any potential improvements or alternative approaches that could be used in the future." julia> score = grading(agent, guideline, shorttermMemory) ``` """ function winestockDB(a::agentReflex, query::T) where {T<:AbstractString} @show query prompt = """ <|system|> Your are a helpful assistant. Intensity level: intensity = 1, light bodied intensity = 2, light-medium bodied intensity = 3, medium bodied intensity = 4, medium-full bodied intensity = 5, full bodied Sweetness level: sweetness = 1, dry sweetness = 2, off-dry sweetness = 3, semi-sweet sweetness = 4, sweet sweetness = 5, very sweet Tannin level: tannin = 1, low tannin tannin = 2, low-medium tannin tannin = 3, medium tannin tannin = 4, medium-high tannin tannin = 5, high tannin Acidity level: acidity = 1, low acidity acidity = 2, low-medium acidity acidity = 3, medium acidity acidity = 4, medium-high acidity acidity = 5, high acidity Write SQL command using data from query. query: "{\"winestock\": {\"wine type\": \"white\", \"wine characteristics\": \"full-bodied | off-dry | low acidity | medium tannin\", \"price\": {\"max\": \"50\"}}}" assistant: SELECT * FROM White WHERE intensity = 5 AND sweetness = 2 AND acidity = 1 AND tannin = 3 AND price <= 50; <|query|> query: $query <|assistant|> """ response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=0.4, stopword=["/n/n", "END", "End", "Obs", "<|", "