new version

previousVersion/0.0.7/CondaPkg.toml

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+channels = ["anaconda", "conda-forge", "pytorch"]
+
+[deps]
+python = ">=3.8,<3.11"
+
+[pip.deps]
+langchain = ""

previousVersion/0.0.7/Project.toml

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+name = "ChatAgent"
+uuid = "cff63402-b71f-455f-804d-24489fc61e5e"
+authors = ["narawat <narawat@gmail.com>"]
+version = "0.1.0"
+
+[deps]
+CommUtils = "646cbe82-3d4a-47b2-9440-2e80a472ca20"
+CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
+DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
+Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
+GeneralUtils = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
+HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
+JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
+PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+URIs = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
+UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

previousVersion/0.0.7/src/ChatAgent.jl

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+module ChatAgent
+
+  # export agent, addNewMessage, clearMessage
+
+
+  """ Order by dependencies of each file. The 1st included file must not depend on any other
+  files and each file can only depend on the file included before it. 
+  """
+
+  include("type.jl")
+  using .type
+
+  include("utils.jl")
+  using .utils
+
+  include("llmfunction.jl")
+  using .llmfunction
+
+  include("interface.jl")
+  using .interface
+  
+  
+#------------------------------------------------------------------------------------------------100
+  
+  """ version 0.0.5
+      Todo:
+          [WORKING] add formulateUserRespond to AI tools
+  
+      Change from version: 0.0.4
+          - 
+  
+  """
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+end # module ChatAgent

previousVersion/0.0.7/src/llmfunction.jl

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+module llmfunction
+
+export wikisearch, winestock, askbox
+
+using HTTP, JSON3, URIs, Random
+using GeneralUtils
+using ..type, ..utils
+#------------------------------------------------------------------------------------------------100
+
+""" Search wikipedia.
+
+  Arguments\n
+    query {string} : The query to search for
+
+  Returns\n
+    result {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
+
+
+
+
+
+
+""" Search wine in stock.
+
+  Arguments\n
+    a : one of ChatAgent's agent.
+  Return\n
+    A JSON string of available wine
+
+  Example\n
+  ```jldoctest
+  julia> using ChatAgent, CommUtils
+  julia> agent = ChatAgent.agentReflex("Jene")
+  julia> input = "{\"food\": \"pizza\", \"occasion\": \"anniversary\"}"
+  julia> result = winestock(agent, input)
+  "{"wine 1": {\"Winery\": \"Pichon Baron\", \"wine name\": \"Pauillac (Grand Cru Classé)\", \"grape variety\": \"Cabernet Sauvignon\", \"year\": 2010, \"price\": \"125 USD\", \"stock ID\": \"ar-17\"}, }"
+  ```
+"""
+function winestock(a::agentReflex, input::NamedTuple)
+  println("")
+  @show input
+
+  wineSearchCriteria = GeneralUtils.JSON3read_stringKey(input[:toolinput])
+  newDict = Dict{String,Any}()
+  for (k,v) in wineSearchCriteria
+    println("k $k v $v")
+    newDict[string(k)] = v
+  end
+
+  #TODO temporary  delete key "food pairing from a dict
+  newDict = deepcopy(a.memory[:keyword])
+  delete!(newDict, "food pairing")
+  
+  query = JSON3.write(newDict)
+  
+  println("")
+  @show query
+  
+  # prompt = 
+  # """
+  #   <|system|>
+  #     <About yourself>
+  #     Your are a helpful assistant.
+  #     </About yourself>
+  #     <You have the following conversion table>
+  #       Database table name by wine type:
+  #       Red = table for wine type "red"
+  #       White = table for wine type "white"
+  #       Sparkling = table for wine type "sparkling"
+  #       Rose = table for wine type "rose"
+  #       Dessert = table for wine type "dessert"
+  #       Fortified = table for wine type "fortified"
+  #     Intensity level:
+  #       intensity = 1, light bodied
+  #       intensity = 2, semi-light bodied
+  #       intensity = 3, medium bodied
+  #       intensity = 4, semi-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, semi-low tannin
+  #       tannin = 3, medium tannin
+  #       tannin = 4, semi-high tannin
+  #       tannin = 5, high tannin
+  #     Acidity level:
+  #       acidity = 1, low acidity
+  #       acidity = 2, semi-low acidity
+  #       acidity = 3, medium acidity
+  #       acidity = 4, semi-high acidity
+  #       acidity = 5, high acidity
+  #     </You have the following conversion table>
+  #     <Your job> 
+  #     Consult the conversion table then write a specific SQL command using only available info from a JSON-format query.
+  #     List of keywords not allowed in SQL: ["BETWEEN", "--", "WHEN", "IN"]
+
+  #     Use the following format:
+  #     Info map: based on conversion table, map the info in query to appropriate variables
+  #     SQL: write a specific SQL command
+  #     </Your job>
+  #     <Example 1>
+  #       query: {\"wine type\": \"white\", \"wine characteristics\": \"full-bodied | off-dry | low acidity | low to medium tannin\", \"price\": {\"max\": \"50\"}}
+  #       Think: 1) low to medium tannin is not explicitly stated, but assuming it falls within the range of low-medium tannin.
+  #       Info map: {\"wine type\": \"white\", \"intensity\": 5, \"sweetness\": 2, \"tannin\": 2, \"acidity\": 1, \"price\": 50}
+  #       SQL: SELECT * FROM White WHERE intensity = 5 AND sweetness = 2 AND acidity = 1 AND tannin = 2 AND price <= 50;
+  #     </Example 1>
+  #     <Example 2>
+  #       query: {\"wine characteristics\":\"low-bodied | a little sweet | low-medium tannin\",\"price\":\"22 USD\",\"occasion\":\"anniversary\",\"wine type\":\"Rose\",\"food\":\"American dishes\"}
+  #       Think: 1) medium sweet is not explicitly stated, but assuming it falls within the range of dry and off-dry.
+  #       Info map: {\"wine type\": \"Rose\", \"intensity\": 1, \"sweetness\": 3, \"tannin\": 2, \"acidity\": 3, \"price\": 22, \"food\":\"American dishes\"}
+  #       SQL: SELECT * FROM Rose WHERE intensity = 1 AND tannin = 2 AND (sweetness = 1 OR sweetness = 2) AND price <= 22 AND food = American;
+  #     </Example 2>
+  #   </s>
+  #   <|query|>
+  #   $query
+  #   </s>
+  #   <|assistant|>
+  # """
+
+  prompt = 
+  """
+  <s>
+    <|system|>
+      <About yourself>
+        Your are a helpful assistant.
+      </About yourself>
+      <You have the following conversion table>
+        Database table name by wine type:
+        Red = table for wine type "red"
+        White = table for wine type "white"
+        Sparkling = table for wine type "sparkling"
+        Rose = table for wine type "rose"
+        Dessert = table for wine type "dessert"
+        Fortified = table for wine type "fortified"
+      Intensity level:
+        light bodied = 1
+        semi-light bodied = 2
+        medium bodied = 3
+        semi-full bodied = 4
+        full bodied = 5
+      Sweetness level:
+        dry = 1
+        off-dry = 2
+        semi-sweet = 3
+        sweet = 4
+        very sweet = 5
+      Tannin level:
+        low tannin = 1
+        semi-low tannin = 2
+        medium tannin = 3
+        semi-high tannin = 4
+        high tannin = 4
+      Acidity level:
+        low acidity = 1
+        semi-low acidity = 2
+        medium acidity = 3
+        semi-high acidity = 4
+        high acidity = 5
+      </You have the following conversion table>
+      <Your job> 
+        Write a specific SQL command from a query using a conversion table
+        List of keywords not allowed the command: ["BETWEEN", "--", "WHEN", "IN"]
+
+        Use the following format:
+        Info map: based on conversion table, map the info in query to appropriate variables
+        SQL: write a specific SQL command
+      </Your job>
+    </|system|>
+    <Example 1>
+      <query>
+        {\"wine type\": \"white\", \"wine characteristics\": \"full-bodied | off-dry | low acidity | low to medium tannin\", \"price\": {\"max\": \"50\"}}
+      </query>
+      <|assistant|>
+        Think: 1) low to medium tannin is not explicitly stated, but assuming it falls within the range of low-medium tannin.
+        Info map: {\"wine type\": \"white\", \"intensity\": 5, \"sweetness\": 2, \"tannin\": 2, \"acidity\": 1, \"price\": 50}
+        SQL: SELECT * FROM White WHERE intensity = 5 AND sweetness = 2 AND acidity = 1 AND tannin = 2 AND price <= 50;
+      </|assistant|>
+    </Example 1>
+    <Example 2>
+      <query>
+        {\"wine characteristics\":\"low-bodied | a little sweet | low-medium tannin\",\"price\":\"22 USD\",\"occasion\":\"anniversary\",\"wine type\":\"Rose\",\"food\":\"American dishes\"}
+      </query>
+      <|assistant|>
+        Think: 1) medium sweet is not explicitly stated, but assuming it falls within the range of dry and off-dry.
+        Info map: {\"wine type\": \"Rose\", \"intensity\": 1, \"sweetness\": 3, \"tannin\": 2, \"acidity\": 3, \"price\": 22, \"food\":\"American dishes\"}
+        SQL: SELECT * FROM Rose WHERE intensity = 1 AND tannin = 2 AND (sweetness = 1 OR sweetness = 2) AND price <= 22 AND food = American;
+      </|assistant|>
+    </Example 2>
+  </s>
+  <query>
+    $query
+  </query>
+  <|assistant|>
+  """
+
+  println("")
+  @show db_prompt = prompt
+  _sql = nothing
+  while true
+    _sql = sendReceivePrompt(a, prompt, max_tokens=256, temperature=0.4,
+                                stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
+    _sql = split(_sql, ";")[1] * ";"
+    @show _sql
+    # check for valid SQL command
+    check_1 = occursin("BETWEEN", _sql)
+    check_2 = occursin("--", _sql)
+    check_3 = occursin("IN", _sql)
+
+    if check_1 == false && check_2 == false && check_3 == false
+      break
+    end
+    println("invalid SQL command")
+  end
+
+  _sql = split(_sql, "SQL:")[end]
+  println("")
+  @show db_sql = replace(_sql, '\n'=>"")
+
+  # remove any blank character in front of a string
+  newsql = nothing
+  for i in eachindex(_sql)
+    if _sql[i] != ' '
+      newsql = _sql[i:end]
+      break
+    end
+  end
+  
+  
+  body = newsql
+  uri = URI(scheme="http", host="192.168.88.12", port="9010", path="/sql", userinfo="root:root")
+  r = HTTP.request("POST", uri, ["Accept" => "application/json", "NS"=>"yiem", "DB"=>"Blossom_wines"], body)
+
+  a.memory[:r] = r
+  result = copy(JSON3.read(r.body))
+  
+
+  wines = shuffle(result[1][:result])  # shuffle in case there are more than 1 result
+
+
+  # choose only 2 wines
+  if length(wines) > 2
+    println("$(length(wines)) wines found")
+    wines = wines[1:2]
+  end
+
+  println("")
+  @show wines
+
+  result = nothing
+  if length(wines) == 0
+    result =
+    """
+    No wine match my search query.
+    """
+  else
+    # write wines dictionary in to string
+    wines_str = ""
+    for (i, wine) in enumerate(wines)
+      winename = wine[:wine_name]
+      wines_str *= "$i: $(JSON3.write(wines[i])),"
+    end
+
+    result =
+      """
+      I found the following wines in our stock: 
+      {
+        $wines_str
+      }
+      """
+  end
+  
+  @show result
+
+  return result
+end
+
+
+""" Get the first JSON string questions.
+
+  Arguments\n
+    a : one of ChatAgent's agent.
+    input {JSON string} : message to the user
+
+  Return\n
+    a single message to the user
+
+  Example\n
+  ```jldoctest
+  julia> input = "{\"Q1\": \"How are you doing?\", \"Q2\": \"How may I help you?\"}"
+  julia> askbox(input)
+  "How are you doing?"
+  ```
+"""
+function askbox(input::String)
+  dict = GeneralUtils.JSON3read_stringKey(input)
+  _keylist = keys(dict)
+  keylist = [key for key in _keylist]
+  return dict[keylist[1]]
+end
+
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+  
+end # end module

previousVersion/0.0.7/src/type.jl

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+module type
+  
+export agent, agentReflex, newAgentMemory
+
+using Dates, UUIDs, DataStructures
+using CommUtils
+
+#------------------------------------------------------------------------------------------------100
+
+function newAgentMemory()
+  memory::Dict{Any, Any} = Dict(
+    :shortterm=> OrderedDict{String, Any}(),
+    :longterm=> OrderedDict{String, Any}(),
+    :log=> OrderedDict{String, Any}(),  # span from user stimulus -> multiples attempts -> final respond
+    :keyword=> Dict{String, Any}(),
+    )
+    return memory
+end
+
+
+abstract type agent end
+
+""" A LLM agent with self reflect capabilities.
+
+Example:
+```jldoctest
+julia> using ChatAgent
+julia> mqttClientSpec = (
+          clientName= "someclient",   # name of this client
+          clientID= "$(uuid4())",
+          broker= "mqtt.yiem.ai", 
+          pubtopic= (imgAI="img/api/v0.0.1/gpu/request",
+                    txtAI="txt/api/v0.1.0/gpu/request"),  # this is where LLM server located
+          subtopic= (imgAI="agent/api/v0.1.0/img/respond",  
+                    txtAI="agent/api/v0.1.0/txt/respond"),  # this is where this agent located
+          keepalive= 30,
+        )
+julia> msgMeta = Dict(
+          :msgPurpose=> "updateStatus",
+          :from=> "agent",       
+          :to=> "llmAI",
+          :requestrespond=> "request",
+          :sendto=> "",      # destination topic
+          :replyTo=> "agent/api/v0.1.0/txt/respond",     # requester ask responder to send reply to this topic
+          :repondToMsgId=> "",   # responder is responding to this msg id
+          :taskstatus=> "",       # "complete", "fail", "waiting" or other status
+          :timestamp=> Dates.now(),
+          :msgId=> "$(uuid4())",
+        )
+julia> tools=Dict(
+          :chatbox=>Dict(
+            :name => "chatbox",
+            :description => "Useful only for when you need to ask the user for more info or context. Do not ask the user their own question.",
+            :input => "Input should be a text.",
+            :output => "" ,
+            :func => nothing,
+          ),
+          :wikisearch=>Dict(
+            :name => "wikisearch",
+            :description => "Useful for when you need to search an encyclopedia.",
+            :input => "Input is keywords and not a question.",
+            :output => "",
+            :func => ChatAgent.wikisearch,   # put function here
+          ),
+          :winestock=>Dict(
+            :name => "wineStock",
+            :description => "useful for when you need to search your wine stock by wine description, price, name or ID.",
+            :input => "Input is a search query.",
+            :output => "Output are Wine name, description, price and ID" ,
+            :func => ChatAgent.winestock,
+          ),
+        )
+julia> agent = ChatAgent.agentReflex(
+                  "Jene",
+                  role=:assistant,
+                  mqttClientSpec=mqttClientSpec, 
+                  msgMeta=msgMeta,
+                  tools=tools
+                )
+```
+"""
+@kwdef mutable struct agentReflex <: agent
+  availableRole::AbstractVector = ["system", "user", "assistant"]
+  agentName::String = "Jene" # ex. Jene
+  maxUserMsg::Int = 30
+  earlierConversation::String = "N/A"  # summary of earlier conversation
+  mqttClient::Union{mqttClient, Nothing} = nothing 
+  msgMeta::Union{Dict, Nothing} = nothing 
+
+  """ Dict(Role=> Content)  ;   Role can be system, user, assistant
+    Example:
+      messages=[
+            Dict(:role=>"system", :content=> "You are a helpful assistant."),
+            Dict(:role=>"assistant", :content=> "How may I help you"),
+            Dict(:role=>"user", :content=> "Hello, how are you"),
+            ]
+  """
+  role::Symbol = :assistant
+  roles::Dict = Dict(:assistant => "You are a helpful assistant.",)
+
+  # Ref: Chat prompt format https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/discussions/3
+  # messages= [Dict(:role=>"system", :content=> "", :timestamp=> Dates.now()),]
+  messages = Vector{Dict{Symbol, Any}}()
+  tools::Union{Dict, Nothing} = nothing 
+  newplan::Bool = false # if true, new plan will be generated
+  attemptlimit::Int = 5 # thinking round limit
+  attempt::Int = 1 # attempted number
+  task::Int = 1 # task number
+  env::AbstractString = "N/A"
+  thinkingFormat::Union{Dict, Nothing} = nothing
+  roleSpecificInstruction::Union{Dict, Nothing} = nothing
+  memory = newAgentMemory()
+
+  # LLM function related
+  winestockResult = ""
+end
+
+function agentReflex(
+  agentName::String;
+  mqttClientSpec::NamedTuple=(
+    clientName= "someclient",   # name of this client
+    clientID= "$(uuid4())",
+    broker= "mqtt.yiem.ai", 
+    pubtopic= (imgAI="img/api/v0.0.1/gpu/request",
+              txtAI="txt/api/v0.1.0/gpu/request"),
+    subtopic= (imgAI="agent/api/v0.1.0/img/respond",
+              txtAI="agent/api/v0.1.0/txt/respond"),
+    keepalive= 30,),
+  role::Symbol=:assistant,
+  roles::Dict=Dict(
+    :assistant => 
+      """
+      You are a helpful assistant.
+      """,
+    :sommelier => 
+      """
+        You are a helpful sommelier at a wine retailer. 
+        You helps users by searching wine that match the user preferences from your stock.
+      """,
+  ),
+  roleSpecificInstruction::Dict=Dict(
+    :assistant => "",
+    # :sommelier => 
+    #   """
+    #   Required info you need for wine recommendation:
+    #     - occasion: ask the user
+    #     - type of food that will be served with wine: ask the user
+    #     - type of wine (we have Rose, White, Red, Rose and Sparkling): ask the user
+    #     - wine sweetness level (dry to very sweet)
+    #     - wine intensity level (light to full bodied)
+    #     - wine tannin level (low to high)
+    #     - wine acidity level (low to high)
+    #     - wine price range: ask the user
+    #     - wines we have in stock: use winestock tool
+    #   """
+    :sommelier => 
+      """
+      <Required wine info>
+        You need to gather all of the following info sequentially before you can recommend wine:
+          1. "wine budget" 
+          2. "wine type" (rose, white, red, sparkling, dessert)  
+          3. "food pairing" that will be served with wine
+          4. "wine sweetness level" (dry to very sweet)
+          5. "wine intensity level" (light to full bodied)
+          6. "wine tannin level" (low to high)
+          7. "wine acidity level" (low to high)
+          8. wine you have in stock that match the user preferences
+      </Required wine info>
+      """
+  ),
+  
+  thinkingFormat::Dict=Dict(
+    :react=> 
+      """
+      Use the following format:
+      Question: the input question your user is asking and you must answer
+      Plan: first you should always think about the question and the info you have thoroughly then extract and devise a complete plan to find the answer (pay attention to variables and their corresponding numerals).
+      Thought: ask yourself do you have all the info you need? And what to do according to the plan (pay attention to correct numeral calculation and commonsense).
+      Act: the tool that match your thought, should be one of {toolnames}
+      Actinput: the input to the action (pay attention to the tool's input)
+      Obs: the result of the action
+      ... (this Plan/Thought/Act/Actinput/Obs can repeat N times until you know the answer.)
+      Thought: I think I know the answer
+      Answer: Answer of the original question
+      
+      Begin!""",
+    :planner=> 
+      """
+      Use the following format:
+      Stimulus: the input user gives to you and you must respond
+      Plan: first you should always think about the stimulus, the info you need and the info you have thoroughly then extract and devise a step by step plan (pay attention to correct numeral calculation and commonsense).
+      P.S.1 each step should be a single action.
+      """,
+    :actor=> 
+      """
+      <Your job> 
+      Use the following format:
+      Thought: based on the plan and the recap of the plan, what to do? (pay attention to correct numeral calculation and commonsense).
+      Act: an action to take based on your thought, must be one of [{toolnames}]
+      Actinput: your input to the action based on your thought (pay attention to the tool's input)
+      Obs: observed result of the action
+
+      P.S.1 ask the user one by one question.
+      P.S.2 ask the user what you want to know if you didn't ask yet.
+      </Your job>
+      """,
+    :actorOriginal=> 
+      """
+      Use the following format:
+      Thought: you should always think about do you have all the required info and what to do according to step {step} of the plan and the info you have (pay attention to correct numeral calculation and commonsense).
+      Act: the action to take that match your thought, should be one of [{toolnames}]
+      Actinput: the input to the action (pay attention to the tool's input)
+      Obs: the result of the action
+      """,
+  ),
+  tools::Dict=Dict(
+    :chatbox=>Dict(
+      :name => "chatbox",
+      :description => "Useful for when you need to communicate with the user.",
+      :input => "Input should be a conversation to the user.",
+      :output => "" ,
+      :func => nothing,
+    ),
+    # :wikisearch=>Dict(
+    #   :name => "wikisearch",
+    #   :description => "Useful for when you need to search an encyclopedia",
+    #   :input => "Input is keywords and not a question.",
+    #   :output => "",
+    #   :func => wikisearch,   # put function here
+    # ),
+    # :wineStock=>Dict(
+    #   :name => "wineStock",
+    #   :description => "useful for when you need to search for wine by your description, price, name or ID.",
+    #   :input => "Input should be a search query with as much details as possible.",
+    #   :output => "" ,
+    #   :func => nothing,
+    # ),
+    # :NTHING=>Dict(
+    #   :name => "NTHING",
+    #   :description => "useful for when you don't need to use tools or actions",
+    #   :input => "No input is needed",
+    #   :output => "" ,
+    #   :func => nothing,
+    # ),
+  ),
+  msgMeta::Dict=Dict(
+    :msgPurpose=> "updateStatus",
+    :from=> "chatbothub",       
+    :to=> "llmAI",
+    :requestrespond=> "request",
+    :sendto=> "",      # destination topic
+    :replyTo=> "agent/api/v0.1.0/txt/respond",     # requester ask responder to send reply to this topic
+    :repondToMsgId=> "",   # responder is responding to this msg id
+    :taskstatus=> "",       # "complete", "fail", "waiting" or other status
+    :timestamp=> Dates.now(),
+    :msgId=> "$(uuid4())",
+  ),
+  availableRole::AbstractArray=["system", "user", "assistant"],
+  maxUserMsg::Int=10,)
+
+  newAgent = agentReflex()
+  newAgent.availableRole = availableRole
+  newAgent.maxUserMsg = maxUserMsg
+  newAgent.mqttClient = CommUtils.mqttClient(mqttClientSpec)
+  newAgent.msgMeta = msgMeta
+  newAgent.tools = tools
+  newAgent.role = role
+  newAgent.roles = roles
+  newAgent.thinkingFormat = thinkingFormat
+  newAgent.roleSpecificInstruction = roleSpecificInstruction
+  newAgent.agentName = agentName
+
+  return newAgent
+end
+
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+end # end module
+
+
+

src/interface.jl

@@ -201,7 +201,8 @@ function planner_mistral_openorca(a::agentReflex)
   
   assistant_plan_prompt =
     """
-    <|system|>
+    <s>
+      <|system|>
       <About yourself>
       $aboutYourself
       </About yourself>