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This commit is contained in:
narawat lamaiin
2025-01-10 08:06:01 +07:00
parent 022cb5caf0
commit 616c159336
3 changed files with 130 additions and 261 deletions
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82
src/interface.jl
View File

@@ -150,7 +150,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
else
systemmsg =
"""
Your name is $(a.name). You are a helpful English-speaking assistant, acting as a polite, website-based sommelier for $(a.retailername)'s online store.
Your name is $(a.name). You are a helpful English-speaking assistant, acting as a polite, website-based sommelier for $(a.retailername)'s wine store.
Your goal includes:
1) Establish a connection with the customer by greeting them warmly
2) Help them select the best wines from your inventory that align with their preferences
@@ -159,10 +159,10 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
1) Make an informed decision about what you need to do to achieve the goal
2) Thanks the user when they don't need any further assistance and invite them to comeback next time
Your responsibility does NOT include:
Your responsibility excludes:
1) Asking or guiding the user to make a purchase
2) Processing sales orders or engaging in any other sales-related activities
3) Providing services other than making recommendations.
3) Answering questions and offering additional services beyond just recommendations, such as delivery, box, gift wrapping or packaging, personalized messages. Customers can reach out to our sales at the store.
At each round of conversation, you will be given the current situation:
Your recent events: latest 5 events of the situation
@@ -194,7 +194,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
Can be one of the following functions:
- CHATBOX which you can use to talk with the user. The input is your intentions for the dialogue. Be specific.
- CHECKINVENTORY which you can use to check info about wine you want in your inventory. The input is a search term in verbal English.
Good query example: black car, a stereo, 200 mile range, electric motor.
Good query example: white wine, full-bodied, France, less than 2000 USD.
- ENDCONVERSATION which you can use when you believe the user has concluded their interaction, to properly end the conversation with them. Input is "NA".
5) Action_input: input of the action
@@ -214,7 +214,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
if haskey(a.memory[:shortmem], :available_wine)
# check if wine name mentioned in timeline, only check first wine name is enough
# because agent will recommend every wines it found each time.
df = a.memory[:shortmem][:available_wine]
df = a.memory[:shortmem][:available_wine]
winenames = df[:, :wine_name]
for winename in winenames
if !occursin(winename, chathistory)
@@ -260,6 +260,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
response = a.func[:text2textInstructLLM](prompt)
response = GeneralUtils.remove_french_accents(response)
response = replace(response, '*'=>"")
# check if response contain more than one functions from ["CHATBOX", "CHECKINVENTORY", "ENDCONVERSATION"]
count = 0
@@ -284,24 +285,30 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
continue
end
checkFlag = false
for i ∈ [:understanding, :plan, :action_name]
if length(responsedict[i]) == 0
error("$i is empty ", @__FILE__, " ", @__LINE__)
errornote = "$i is empty"
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
continue
checkFlag = true
break
end
end
checkFlag == true ? continue : nothing
# check if there are more than 1 key per categories
checkFlag = false
for i ∈ [:understanding, :plan, :action_name, :action_input]
matchkeys = GeneralUtils.findMatchingDictKey(responsedict, i)
if length(matchkeys) > 1
errornote = "DecisionMaker has more than one key per categories"
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
continue
checkFlag = true
break
end
end
checkFlag == true ? continue : nothing
println("\n~~~ Yiem decisionMaker() ", @__FILE__, " ", @__LINE__)
pprintln(Dict(responsedict))
@@ -691,6 +698,7 @@ function conversation(a::sommelier, userinput::Dict)
actionname = nothing
result = nothing
chatresponse = nothing
userinput[:text] = GeneralUtils.remove_french_accents(userinput[:text])
if userinput[:text] == "newtopic"
clearhistory(a)
@@ -808,7 +816,7 @@ function think(a::T)::NamedTuple{(:actionname, :result),Tuple{String,String}} wh
errormsg::Union{AbstractString,Nothing} = haskey(response, :errormsg) ? response[:errormsg] : nothing
success::Bool = haskey(response, :success) ? response[:success] : false
#[WORKING] manage memory (pass msg to generatechat)
# manage memory (pass msg to generatechat)
if actionname ∈ ["CHATBOX", "PRESENTBOX", "ENDCONVERSATION"]
chatresponse = generatechat(a, thoughtDict)
push!(a.memory[:events],
@@ -829,25 +837,28 @@ function think(a::T)::NamedTuple{(:actionname, :result),Tuple{String,String}} wh
# )
)
result = chatresponse
if actionname == "PRESENTBOX"
df = a.memory[:shortmem][:available_wine]
winename = join(df[:, :wine_name], ", ")
if a.memory[:state][:wine_presented_to_user] == "None"
a.memory[:state][:wine_presented_to_user] = winename
else
a.memory[:state][:wine_presented_to_user] *= ", $winename"
end
end
elseif actionname == "CHECKINVENTORY"
if haskey(a.memory[:shortmem], :available_wine) # store wines in dataframe format
df = a.memory[:shortmem][:available_wine]
a.memory[:shortmem][:available_wine] = vcat(df, rawresponse)
elseif rawresponse !== nothing
a.memory[:shortmem][:available_wine] = rawresponse
if rawresponse !== nothing
if haskey(a.memory[:shortmem], :available_wine)
df = a.memory[:shortmem][:available_wine]
#[TESTING] sometime df 2 df has different column size
dfCol = names(df)
rawresponse_dfCol = names(rawresponse)
if length(dfCol) > length(rawresponse_dfCol)
a.memory[:shortmem][:available_wine] = DataFrames.outerjoin(df, rawresponse, on=rawresponse_dfCol)
elseif length(dfCol) < length(rawresponse_dfCol)
a.memory[:shortmem][:available_wine] = DataFrames.outerjoin(df, rawresponse, on=dfCol)
else
a.memory[:shortmem][:available_wine] = vcat(df, rawresponse)
end
else
a.memory[:shortmem][:available_wine] = rawresponse
end
else
# skip, no result
# no result, skip
end
push!(a.memory[:events],
eventdict(;
event_description= "the assistant searched the database.",
@@ -891,7 +902,7 @@ julia>
function generatechat(a::sommelier, thoughtDict)
systemmsg =
"""
Your name is $(a.name). You are a helpful English-speaking assistant, acting as a polite, website-based sommelier for an online wine store.
Your name is $(a.name). You are a helpful English-speaking assistant, acting as a polite, website-based sommelier for $(a.retailername)'s wine store.
You are currently talking with the user.
Your goal includes:
1) Help the user select the best wines from your inventory that align with the user's preferences.
@@ -899,9 +910,10 @@ function generatechat(a::sommelier, thoughtDict)
Your responsibility includes:
1) Given the situation, convey your thoughts to the user.
Your responsibility do not include:
1) Asking or guiding the user to make a purchase
2) Processing sales orders or engaging in any other sales-related activities
Your responsibility excludes:
1) Asking or guiding the user to make a purchase
2) Processing sales orders or engaging in any other sales-related activities
3) Answering questions and offering additional services beyond just recommendations, such as delivery, box, gift wrapping, personalized messages. Customers can reach out to our sales at the store.
At each round of conversation, you will be given the current situation:
Your ongoing conversation with the user: ...
@@ -961,15 +973,17 @@ function generatechat(a::sommelier, thoughtDict)
"""
try
response_1 = a.func[:text2textInstructLLM](prompt)
response = a.func[:text2textInstructLLM](prompt)
# sometime the model response like this "here's how I would respond: ..."
if occursin("respond:", response_1)
if occursin("respond:", response)
errornote = "You don't need to intro your response"
error("generatechat() response contain : ", @__FILE__, " ", @__LINE__)
end
response_2 = replace(response_1, '*' => "")
response_3 = replace(response_2, '$' => "USD")
response = replace(response_3, '`' => "")
response = GeneralUtils.remove_french_accents(response)
response = replace(response, '*'=>"")
response = replace(response, '$' => "USD")
response = replace(response, '`' => "")
response = GeneralUtils.remove_french_accents(response)
responsedict = GeneralUtils.textToDict(response, ["Chat"],
rightmarker=":", symbolkey=true, lowercasekey=true)
@@ -1017,8 +1031,8 @@ function generatechat(a::sommelier, thoughtDict)
# then the agent is not supposed to recommend the wine
if isWineInEvent == false
errornote = "Note: You are not supposed to recommend a wine that is not in your inventory."
error("Note: You are not supposed to recommend a wine that is not in your inventory.")
errornote = "Previously: You recommend a wine that is not in your inventory which is not allowed."
error("Previously: You recommend a wine that is not in your inventory which is not allowed.")
end
end

256
src/llmfunction.jl
View File

@@ -330,183 +330,6 @@ julia>
# Signature
"""
# function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<:AbstractString}
# systemmsg =
# """
# As a helpful sommelier, your task is to extract the user information from the user's query as much as possible to fill out user's preference form.
# At each round of conversation, the user will give you the current situation:
# User's query: ...
# You must follow the following guidelines:
# 1) If specific information required in the preference form is not available in the query or there isn't any, mark with "NA" to indicate this.
# Additionally, words like 'any' or 'unlimited' mean no information is available.
# 2) Do not generate other comments.
# You should then respond to the user with the following points:
# - reasoning: state your understanding of the current situation
# - wine_name: name of the wine
# - winery: name of the winery
# - vintage: the year of the wine
# - region: a region in a country where the wine is produced, such as Burgundy, Napa Valley, etc
# - country: a country where the wine is produced. Can be "Austria", "Australia", "France", "Germany", "Italy", "Portugal", "Spain", "United States"
# - wine_type: can be one of: "red", "white", "sparkling", "rose", "dessert" or "fortified"
# - grape_variety: the name of the primary grape used to make the wine
# - tasting_notes: a brief description of the wine's taste, such as "butter", "oak", "fruity", etc
# - wine_price: price of wine. For example, up to 100, less than 100, 20 to 100, 30-79.95
# - occasion: the occasion the user is having the wine for
# - food_to_be_paired_with_wine: food that the user will be served with the wine such as poultry, fish, steak, etc
# You should only respond in the user's preference form as described below:
# reasoning: ...
# winery: ...
# wine_name: ...
# vintage: ...
# region: ...
# country: ...
# wine_type: ...
# grape_variety: ...
# tasting_notes: ...
# wine_price: ...
# occasion: ...
# food_to_be_paired_with_wine: ...
# Here are some example:
# User's query: red, Chenin Blanc, Riesling, under 20
# reasoning: ...
# winery: NA
# wine_name: NA
# vintage: NA
# region: NA
# country: NA
# wine_type: red
# grape_variety: Chenin Blanc, Riesling
# tasting_notes: NA
# wine_price: under 20
# occasion: NA
# food_to_be_paired_with_wine: NA
# User's query: Domaine du Collier Saumur Blanc 2019, France, white, Chenin Blanc
# reasoning: ...
# winery: Domaine du Collier
# wine_name: Saumur Blanc
# vintage: 2019
# region: Saumur
# country: France
# wine_type: white
# grape_variety: Chenin Blanc
# tasting_notes: NA
# wine_price: 109
# occasion: NA
# food_to_be_paired_with_wine: NA
# Let's begin!
# """
# attributes = ["reasoning", "winery", "wine_name", "vintage", "region", "country", "wine_type", "grape_variety", "tasting_notes", "wine_price", "occasion", "food_to_be_paired_with_wine"]
# errornote = ""
# maxattempt = 5
# for attempt in 1:maxattempt
# usermsg =
# """
# User's query: $input
# $errornote
# """
# _prompt =
# [
# Dict(:name=> "system", :text=> systemmsg),
# Dict(:name=> "user", :text=> usermsg)
# ]
# # put in model format
# prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
# prompt *=
# """
# <|start_header_id|>assistant<|end_header_id|>
# """
# try
# response = a.func[:text2textInstructLLM](prompt)
# response = GeneralUtils.remove_french_accents(response)
# # check wheter all attributes are in the response
# for word in attributes
# if !occursin(word, response)
# error("$word attribute is missing")
# end
# end
# responsedict = GeneralUtils.textToDict(response, attributes, rightmarker=":", symbolkey=true)
# for i ∈ attributes
# if length(JSON3.write(responsedict[Symbol(i)])) == 0
# error("$i is empty ", @__LINE__)
# end
# end
# #check if the following attributes has more than 1 name
# # responsedict[:grape_variety] = split(responsedict[:grape_variety], ',')[1]
# # responsedict[:grape_variety] = split(responsedict[:grape_variety], '/')[1]
# responsedict[:country] = split(responsedict[:country], ',')[1]
# responsedict[:country] = split(responsedict[:country], '/')[1]
# responsedict[:region] = split(responsedict[:region], ',')[1]
# responsedict[:region] = split(responsedict[:region], '/')[1]
# delete!(responsedict, :reasoning)
# delete!(responsedict, :tasting_notes)
# delete!(responsedict, :occasion)
# delete!(responsedict, :food_to_be_paired_with_wine)
# # check if winery, wine_name, region, country, wine_type, grape_variety are in the query because sometime AI halucinates
# for i in [:grape_variety, :winery, :wine_name, :region]
# result = check_key_in_input(input, responsedict, attempt, maxattempt, i)
# if result === nothing
# # nothing wrong
# elseif result == "NA"
# responsedict[i] = "NA"
# else
# errornote = result
# error(errornote)
# end
# end
# # remove (some text)
# for (k, v) in responsedict
# _v = replace(v, r"\(.*?\)" => "")
# responsedict[k] = _v
# end
# result = ""
# for (k, v) in responsedict
# # some time LLM generate text with "(some comment)". this line removes it
# if !occursin("NA", v) && v != "" && !occursin("none", v) && !occursin("None", v)
# result *= "$k: $v, "
# end
# end
# #[PENDING] remove halucination. "highend dry white wine" --> "wine_type: white, occasion: special occasion, food_to_be_paired_with_wine: seafood, fish, country: France, Italy, USA, grape_variety: Chardonnay, Sauvignon Blanc, Pinot Grigio\nwine_notes: citrus, green apple, floral"
# result = result[1:end-2] # remove the ending ", "
# return result
# catch e
# io = IOBuffer()
# showerror(io, e)
# errorMsg = String(take!(io))
# st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
# println("")
# println("Attempt $attempt. Error occurred: $errorMsg\n$st ", @__FILE__, " ", @__LINE__)
# println("")
# end
# end
# error("wineattributes_wordToNumber() failed to get a response")
# end
function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<:AbstractString}
systemmsg =
@@ -529,27 +352,27 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
- region: a region (NOT a country) where the wine is produced, such as Burgundy, Napa Valley, etc
- country: a country where the wine is produced. Can be "Austria", "Australia", "France", "Germany", "Italy", "Portugal", "Spain", "United States"
- wine_type: can be one of: "red", "white", "sparkling", "rose", "dessert" or "fortified"
- grape_variety: the name of the primary grape used to make the wine
- grape_varietal: the name of the primary grape used to make the wine
- tasting_notes: a brief description of the wine's taste, such as "butter", "oak", "fruity", etc
- wine_price: price of wine. For example, up to 100, less than 100, 20 to 100, 30-79.95
- wine_price: price range of wine.
- occasion: the occasion the user is having the wine for
- food_to_be_paired_with_wine: food that the user will be served with the wine such as poultry, fish, steak, etc
You should only respond in the user's preference form (JSON) as described below:
{"reasoning": ..., "winery": ..., "wine_name": ..., "vintage": ..., "region": ..., "country": ..., "wine_type": ..., "grape_variety": ..., "tasting_notes": ..., "wine_price": ..., "occasion": ..., "food_to_be_paired_with_wine": ...}
{"reasoning": ..., "winery": ..., "wine_name": ..., "vintage": ..., "region": ..., "country": ..., "wine_type": ..., "grape_varietal": ..., "tasting_notes": ..., "wine_price": ..., "occasion": ..., "food_to_be_paired_with_wine": ...}
Here are some example:
User's query: red, Chenin Blanc, Riesling, under 20
{"reasoning": ..., "winery": "NA", "wine_name": "NA", "vintage": "NA", "region": "NA", "country": "NA", "wine_type": "red", "grape_variety": "Chenin Blanc, Riesling", "tasting_notes": "NA", "wine_price": "under 20", "occasion": "NA", "food_to_be_paired_with_wine": "NA"}
User's query: red, Chenin Blanc, Riesling, 20 USD
{"reasoning": ..., "winery": "NA", "wine_name": "NA", "vintage": "NA", "region": "NA", "country": "NA", "wine_type": "red", "grape_varietal": "Chenin Blanc, Riesling", "tasting_notes": "NA", "wine_price": "0-20", "occasion": "NA", "food_to_be_paired_with_wine": "NA"}
User's query: Domaine du Collier Saumur Blanc 2019, France, white, Chenin Blanc
{"reasoning": ..., "winery": "Domaine du Collier", "wine_name": "Saumur Blanc", "vintage": "2019", "region": "Saumur", "country": "France", "wine_type": "white", "grape_variety": "Chenin Blanc", "tasting_notes": "NA", "wine_price": "109", "occasion": "NA", "food_to_be_paired_with_wine": "NA"}
{"reasoning": ..., "winery": "Domaine du Collier", "wine_name": "Saumur Blanc", "vintage": "2019", "region": "Saumur", "country": "France", "wine_type": "white", "grape_varietal": "Chenin Blanc", "tasting_notes": "NA", "wine_price": "NA", "occasion": "NA", "food_to_be_paired_with_wine": "NA"}
Let's begin!
"""
attributes = ["reasoning", "winery", "wine_name", "vintage", "region", "country", "wine_type", "grape_variety", "tasting_notes", "wine_price", "occasion", "food_to_be_paired_with_wine"]
attributes = ["reasoning", "winery", "wine_name", "vintage", "region", "country", "wine_type", "grape_varietal", "tasting_notes", "wine_price", "occasion", "food_to_be_paired_with_wine"]
errornote = ""
for attempt in 1:5
@@ -576,13 +399,16 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
response = GeneralUtils.remove_french_accents(response)
# check wheter all attributes are in the response
checkFlag = false
for word in attributes
if !occursin(word, response)
errornote = "$word attribute is missing in previous attempts"
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
continue
checkFlag = true
break
end
end
checkFlag == true ? continue : nothing
responsedict = copy(JSON3.read(response))
@@ -591,24 +417,52 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
delete!(responsedict, :occasion)
delete!(responsedict, :food_to_be_paired_with_wine)
# check if winery, wine_name, region, country, wine_type, grape_variety are in the query because sometime AI halucinates
for i in [:grape_variety, :winery, :wine_name, :region]
content = responsedict[i]
if occursin(",", content)
content = split(content, ",") # sometime AI generates multiple values e.g. "Chenin Blanc, Riesling"
content = strip.(content)
else
content = [content]
end
println(@__FILE__, " ", @__LINE__)
pprintln(responsedict)
for x in content
if !occursin("NA", responsedict[i]) && !occursin(x, input)
errornote = "$x is not mentioned in the user query, you must only use the info from the query."
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
continue
# check if winery, wine_name, region, country, wine_type, grape_varietal's value are in the query because sometime AI halucinates
checkFlag = false
for i in attributes
j = Symbol(i)
if j ∉ [:reasoning, :tasting_notes, :occasion, :food_to_be_paired_with_wine]
# in case j is wine_price it needs to be checked differently because its value is ranged
if j == "wine_price"
if responsedict[:wine_price] != "NA"
# check whether wine_price is in ranged number
if !occursin('-', responsedict[:wine_price])
errornote = "wine_price must be a range number"
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
checkFlag = true
break
end
# check whether max wine_price is in the input
maxprice = split(responsedict[:wine_price], '-')[end]
if !occursin(maxprice, input)
responsedict[:wine_price] = "NA"
end
end
else
content = responsedict[j]
if occursin(",", content)
content = split(content, ",") # sometime AI generates multiple values e.g. "Chenin Blanc, Riesling"
content = strip.(content)
else
content = [content]
end
for x in content
if !occursin("NA", responsedict[j]) && !occursin(x, input)
errornote = "$x is not mentioned in the user query, you must only use the info from the query."
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
checkFlag == true
break
end
end
end
end
end
checkFlag == true ? continue : nothing
# remove (some text)
for (k, v) in responsedict
@@ -624,7 +478,7 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
end
end
#[PENDING] remove halucination. "highend dry white wine" --> "wine_type: white, occasion: special occasion, food_to_be_paired_with_wine: seafood, fish, country: France, Italy, USA, grape_variety: Chardonnay, Sauvignon Blanc, Pinot Grigio\nwine_notes: citrus, green apple, floral"
#[PENDING] remove halucination. "highend dry white wine" --> "wine_type: white, occasion: special occasion, food_to_be_paired_with_wine: seafood, fish, country: France, Italy, USA, grape_varietal: Chardonnay, Sauvignon Blanc, Pinot Grigio\nwine_notes: citrus, green apple, floral"
result = result[1:end-2] # remove the ending ", "
@@ -785,7 +639,7 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
for (k, v) in responsedict
if !occursin("keyword", string(k))
if v !== "NA" && (!occursin('-', v) || length(v) > 5)
errornote = "WARNING: The non-range value {$k: $v} is not allowed. It should be specified in a range format, such as min-max."
errornote = "WARNING: The non-range value {$k: $v} is not allowed. It should be specified in a range format, i.e. min-max."
println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
continue
end

53
src/util.jl
View File

@@ -1,6 +1,6 @@
module util
export clearhistory, addNewMessage, vectorOfDictToText, eventdict, noises
export clearhistory, addNewMessage, vectorOfDictToText, eventdict, noises, createTimeline
using UUIDs, Dates, DataStructures, HTTP, JSON3
using GeneralUtils
@@ -169,31 +169,6 @@ function vectorOfDictToText(vecd::Vector; withkey=true)::String
end
# function eventdict(;
# event_description::Union{String, Nothing}=nothing,
# timestamp::Union{DateTime, Nothing}=nothing,
# subject::Union{String, Nothing}=nothing,
# action_or_dialogue::Union{String, Nothing}=nothing,
# location::Union{String, Nothing}=nothing,
# equipment_used::Union{String, Nothing}=nothing,
# material_used::Union{String, Nothing}=nothing,
# outcome::Union{String, Nothing}=nothing,
# note::Union{String, Nothing}=nothing,
# )
# return Dict{Symbol, Any}(
# :event_description=> event_description,
# :timestamp=> timestamp,
# :subject=> subject,
# :action_or_dialogue=> action_or_dialogue,
# :location=> location,
# :equipment_used=> equipment_used,
# :material_used=> material_used,
# :outcome=> outcome,
# :note=> note,
# )
# end
function eventdict(;
event_description::Union{String, Nothing}=nothing,
timestamp::Union{DateTime, Nothing}=nothing,
@@ -222,6 +197,32 @@ function eventdict(;
)
end
function createTimeline(memory::T1, recent) where {T1<:AbstractVector}
totalevents = length(memory)
ind =
if totalevents > recent
start = totalevents - recent
start:totalevents
else
1:totalevents
end
timeline = ""
for (i, event) in enumerate(memory[ind])
if event[:outcome] === nothing
timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
else
timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
end
end
return timeline
end
# """ Convert a single chat dictionary into LLM model instruct format.
# # Llama 3 instruct format example