Merge pull request 'v0.4.3-fix_markdown_response' (#7) from v0.4.3-fix_markdown_response into v0.4.3

Reviewed-on: #7

Manifest.toml

@@ -2,7 +2,7 @@
 
 julia_version = "1.12.6"
 manifest_format = "2.0"
-project_hash = "5b5e1c071ff66b72aeed7d8a4316829e2407ae1a"
+project_hash = "a2c996ffe370e277cbff80af974d2701698f1b6c"
 
 [[deps.Accessors]]
 deps = ["CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "MacroTools"]
@@ -38,12 +38,6 @@ version = "1.1.3"
 uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
 version = "1.1.2"
 
-[[deps.Arrow]]
-deps = ["ArrowTypes", "BitIntegers", "CodecLz4", "CodecZstd", "ConcurrentUtilities", "DataAPI", "Dates", "EnumX", "Mmap", "PooledArrays", "SentinelArrays", "StringViews", "Tables", "TimeZones", "TranscodingStreams", "UUIDs"]
-git-tree-sha1 = "4a69a3eadc1f7da78d950d1ef270c3a62c1f7e01"
-uuid = "69666777-d1a9-59fb-9406-91d4454c9d45"
-version = "2.8.1"
-
 [[deps.ArrowTypes]]
 deps = ["Sockets", "UUIDs"]
 git-tree-sha1 = "404265cd8128a2515a81d5eae16de90fdef05101"
@@ -58,12 +52,6 @@ version = "1.11.0"
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 version = "1.11.0"
 
-[[deps.BitIntegers]]
-deps = ["Random"]
-git-tree-sha1 = "091d591a060e43df1dd35faab3ca284925c48e46"
-uuid = "c3b6d118-76ef-56ca-8cc7-ebb389d030a1"
-version = "0.3.7"
-
 [[deps.BufferedStreams]]
 git-tree-sha1 = "6863c5b7fc997eadcabdbaf6c5f201dc30032643"
 uuid = "e1450e63-4bb3-523b-b2a4-4ffa8c0fd77d"
@@ -96,24 +84,12 @@ git-tree-sha1 = "40956acdbef3d8c7cc38cba42b56034af8f8581a"
 uuid = "6c391c72-fb7b-5838-ba82-7cfb1bcfecbf"
 version = "0.3.4"
 
-[[deps.CodecLz4]]
-deps = ["Lz4_jll", "TranscodingStreams"]
-git-tree-sha1 = "d58afcd2833601636b48ee8cbeb2edcb086522c2"
-uuid = "5ba52731-8f18-5e0d-9241-30f10d1ec561"
-version = "0.4.6"
-
 [[deps.CodecZlib]]
 deps = ["TranscodingStreams", "Zlib_jll"]
 git-tree-sha1 = "962834c22b66e32aa10f7611c08c8ca4e20749a9"
 uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
 version = "0.7.8"
 
-[[deps.CodecZstd]]
-deps = ["TranscodingStreams", "Zstd_jll"]
-git-tree-sha1 = "da54a6cd93c54950c15adf1d336cfd7d71f51a56"
-uuid = "6b39b394-51ab-5f42-8807-6242bab2b4c2"
-version = "0.8.7"
-
 [[deps.CommonSolve]]
 git-tree-sha1 = "99ee296f88c12485402e37c2fd025f95ae097637"
 uuid = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
@@ -148,12 +124,6 @@ weakdeps = ["InverseFunctions"]
     [deps.CompositionsBase.extensions]
     CompositionsBaseInverseFunctionsExt = "InverseFunctions"
 
-[[deps.ConcurrentUtilities]]
-deps = ["Serialization", "Sockets"]
-git-tree-sha1 = "21d088c496ea22914fe80906eb5bce65755e5ec8"
-uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb"
-version = "2.5.1"
-
 [[deps.ConstructionBase]]
 git-tree-sha1 = "b4b092499347b18a015186eae3042f72267106cb"
 uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
@@ -436,7 +406,9 @@ version = "1.21.3+0"
 
 [[deps.LLMMCTS]]
 deps = ["GeneralUtils", "JSON", "PrettyPrinting"]
-path = "../LLMMCTS"
+git-tree-sha1 = "3dff98131dfa79be8c9bd84fc51cb0ba1832c472"
+repo-rev = "main"
+repo-url = "https://git.yiem.cc/ton/LLMMCTS"
 uuid = "d76c5a4d-449e-4835-8cc4-dd86ec44f241"
 version = "0.1.5"
 
@@ -522,12 +494,6 @@ git-tree-sha1 = "3733419e9a71156b389f3e331672d2e95436783f"
 uuid = "6f1432cf-f94c-5a45-995e-cdbf5db27b0b"
 version = "3.6.2"
 
-[[deps.Lz4_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl"]
-git-tree-sha1 = "191686b1ac1ea9c89fc52e996ad15d1d241d1e33"
-uuid = "5ced341a-0733-55b8-9ab6-a4889d929147"
-version = "1.10.1+0"
-
 [[deps.MacroTools]]
 git-tree-sha1 = "1e0228a030642014fe5cfe68c2c0a818f9e3f522"
 uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
@@ -794,11 +760,11 @@ version = "0.7.0"
 
 [[deps.SQLLLM]]
 deps = ["CSV", "DataFrames", "DataStructures", "Dates", "FileIO", "GeneralUtils", "HTTP", "JSON", "LLMMCTS", "LibPQ", "PrettyPrinting", "Random", "Revise", "StatsBase", "Tables", "URIs", "UUIDs"]
-git-tree-sha1 = "997602ed56a285ac29d74c91bb57bc5faeadfad6"
+git-tree-sha1 = "2807a768907f59308d8d71ece599037b0a66b0a5"
 repo-rev = "main"
 repo-url = "https://git.yiem.cc/ton/SQLLLM"
 uuid = "2ebc79c7-cc10-4a3a-9665-d2e1d61e63d3"
-version = "0.2.5"
+version = "0.2.7"
 
 [[deps.SQLStrings]]
 git-tree-sha1 = "55de0530689832b1d3d43491ee6b67bd54d3323c"
@@ -902,11 +868,6 @@ git-tree-sha1 = "d05693d339e37d6ab134c5ab53c29fce5ee5d7d5"
 uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e"
 version = "0.4.4"
 
-[[deps.StringViews]]
-git-tree-sha1 = "f2dcb92855b31ad92fe8f079d4f75ac57c93e4b8"
-uuid = "354b36f9-a18e-4713-926e-db85100087ba"
-version = "1.3.7"
-
 [[deps.StructTypes]]
 deps = ["Dates", "UUIDs"]
 git-tree-sha1 = "159331b30e94d7b11379037feeb9b690950cace8"
@@ -1022,10 +983,10 @@ uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60"
 version = "1.6.1"
 
 [[deps.YiemAgent]]
-deps = ["CSV", "DataFrames", "DataStructures", "Dates", "GeneralUtils", "HTTP", "JSON", "LLMMCTS", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "SQLLLM", "Serialization", "URIs", "UUIDs", "msghandler"]
+deps = ["CSV", "DataFrames", "DataStructures", "Dates", "GeneralUtils", "HTTP", "JSON", "LLMMCTS", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "Serialization", "URIs", "UUIDs"]
 path = "."
 uuid = "e012c34b-7f78-48e0-971c-7abb83b6f0a2"
-version = "0.4.0"
+version = "0.4.2"
 
 [[deps.Zlib_jll]]
 deps = ["Libdl"]
@@ -1049,14 +1010,6 @@ git-tree-sha1 = "011b0a7331b41c25524b64dc42afc9683ee89026"
 uuid = "a9144af2-ca23-56d9-984f-0d03f7b5ccf8"
 version = "1.0.21+0"
 
-[[deps.msghandler]]
-deps = ["Arrow", "Base64", "DataFrames", "Dates", "GeneralUtils", "HTTP", "JSON", "NATS", "PrettyPrinting", "Revise", "UUIDs"]
-git-tree-sha1 = "db16f76f72bd4fa2a87e34ef47bb787204e1f888"
-repo-rev = "main"
-repo-url = "https://git.yiem.cc/ton/msghandler"
-uuid = "f2724d33-f338-4a57-b9f8-1be882570d10"
-version = "0.5.7"
-
 [[deps.nghttp2_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"

Project.toml

@@ -1,6 +1,6 @@
 name = "YiemAgent"
 uuid = "e012c34b-7f78-48e0-971c-7abb83b6f0a2"
-version = "0.4.0"
+version = "0.4.3"
 authors = ["narawat lamaiin <narawat@outlook.com>"]
 
 [deps]
@@ -21,7 +21,6 @@ SQLLLM = "2ebc79c7-cc10-4a3a-9665-d2e1d61e63d3"
 Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 URIs = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
-msghandler = "f2724d33-f338-4a57-b9f8-1be882570d10"
 
 [compat]
 CSV = "0.10.15"
@@ -29,6 +28,6 @@ DataFrames = "1.7.0"
 GeneralUtils = "0.4.9"
 HTTP = "2.4.0"
 JSON = "1.6.1"
+LLMMCTS = "0.1.5"
 NATS = "0.1.0"
-SQLLLM = "0.2.5"
-msghandler = "0.5.6"
+SQLLLM = "0.2.7"

etc.jl

@@ -1,93 +1,13 @@
-using DataStructures
-
-function dictify2(x; keytype::Type=Any, sort_order::Union{Nothing, Vector}=nothing)
-    # Dict-like objects
-    if x isa AbstractDict
-        out = OrderedDict{keytype, Any}()
-        
-        # 1. Process and normalize all keys from the input dictionary
-        processed_dict = OrderedDict{keytype, Any}()
-        for (k, v) in x
-            if keytype === String
-                newk = string(k)
-            elseif keytype === Symbol
-                newk = Symbol(string(k))
-            else
-                newk = k
-            end
-            processed_dict[newk] = dictify(v; keytype=keytype, sort_order=sort_order)
-        end
-
-        # 2. If a sort order is specified, apply it
-        if !isnothing(sort_order)
-            # Normalize the sort_order elements to match the requested keytype
-            normalized_order = map(sort_order) do tk
-                if keytype === String
-                    return string(tk)
-                elseif keytype === Symbol
-                    return Symbol(string(tk))
-                else
-                    return tk
-                end
-            end
-
-            # First, insert keys that match the requested order
-            for target_key in normalized_order
-                if haskey(processed_dict, target_key)
-                    out[target_key] = processed_dict[target_key]
-                end
-            end
-
-            # Then, append any remaining keys that weren't in the sort_order
-            for (k, v) in processed_dict
-                if !haskey(out, k)
-                    out[k] = v
-                end
-            end
-        else
-            # If no sort order is given, just use the processed dict
-            out = processed_dict
-        end
-
-        return out
-
-    # Arrays / vectors: map elements recursively
-    elseif x isa AbstractArray
-        return [dictify(element; keytype=keytype, sort_order=sort_order) for element in x]
-    
-    # Everything else: return as-is
-    else
-        return x
-    end
-end
-
-
-
-
-function dict_to_string_html2(d::AbstractDict; indent_level=1, indent_str=" ")
-  lines = String[]
-  padding = indent_str ^ indent_level
-  
-  # Sort keys for predictable, clean output
-  for k in keys(d)
-      v = d[k]
-      
-      if v isa AbstractDict
-          # Open tag, recurse for children, then close tag
-          push!(lines, "$padding<$k>")
-          ind_level = indent_level + 1
-          push!(lines, dict_to_string_html(v; indent_level=ind_level, indent_str=indent_str))
-          push!(lines, "$padding</$k>")
-      else
-          # Leaf node: put key and value on a single line
-          push!(lines, "$padding<$k>$v</$k>")
-      end
-  end
-  return join(lines, "\n")
-end
-
 
 
 
+d = Dict(
+  "hello"=> 555,
+  "world"=> Dict(
+    "name"=> "ton"
+  )
+)
 
+x = 55
 
+@info "YiemAgent think() 1 " d x @__LINE__

src/llmfunction.jl

@@ -1,10 +1,10 @@
 module llmfunction
 
-export  virtualWineUserChatbox, jsoncorrection, checkwine, # recommendbox,
+export  virtualWineUserChatbox, jsoncorrection, checkwine!, # recommendbox,
         virtualWineUserRecommendbox, userChatbox, userRecommendbox, extractWineAttributes_1,
         extractWineAttributes_2, paraphrase
 
-using HTTP, JSON, URIs, Random, PrettyPrinting, UUIDs, Dates, DataFrames
+using HTTP, JSON, URIs, Random, PrettyPrinting, UUIDs, Dates, DataFrames, DataStructures
 using GeneralUtils, SQLLLM
 using ..type, ..util
 
@@ -269,7 +269,7 @@ end
 # Arguments
   - `a::T1` 
     one of ChatAgent's agent.
-  - `input::T2`
+  - `thoughtdict::AbstractDict`
 # Return
   A JSON string of available wine
 
@@ -281,53 +281,14 @@ julia> input = "{\"food\": \"pizza\", \"occasion\": \"anniversary\"}"
 julia> result = checkinventory(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 checkwine(a::T1, input::T2; maxattempt::Int=3
-  ) where {T1<:agent, T2<:AbstractString}
+"""
+function checkwine!(a::T, thoughtdict::AbstractDict
+  )::NamedTuple{(:thoughtdict, :result_raw), Tuple{OrderedDict, Any}} where {T<:agent}
 
-  println("\ncheckinventory order: $input ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-  wineattributes_1 = extractWineAttributes_1(a, input)
-  wineattributes_2 = extractWineAttributes_2(a, input)
+  println("\ncheckinventory order: $(thoughtdict["action_input"]) ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
+  wineattributes_1 = extractWineAttributes_1(a, thoughtdict["action_input"])
+  wineattributes_2 = extractWineAttributes_2(a, thoughtdict["action_input"])
 
-  # placeholder
-  # textresult = nothing
-  # rawresponse = nothing
-  
-  # for i in 1:maxattempt
-
-  #   #CHANGE if you want to add retailer name
-  #   # _inventoryquery = "retailer name: $(a.retailername), $wineattributes_1, $wineattributes_2"
-  #   _inventoryquery = "$wineattributes_1, $wineattributes_2"
-    
-  #   retrieve_attributes = ["winery", "wine_name", "wine_id", "vintage", "region", "country", "wine_type", "grape", "serving_temperature", "sweetness", "intensity", "tannin", "acidity", "tasting_notes", "price", "currency"]
-  #   inventoryquery = "Retrieves $retrieve_attributes of wines that match the following criteria - {$_inventoryquery}"
-  #   println("\ncheckinventory input: $inventoryquery ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-  #   # add suppport for similarSQLVectorDB
-  #   textresult, result_raw = SQLLLM.query(
-  #                         inventoryquery, 
-  #                         a.context.executeSQL, 
-  #                         a.context.text2textInstructLLM;
-  #                         insertSQLVectorDB=a.context.insertSQLVectorDB, 
-  #                         similarSQLVectorDB=a.context.similarSQLVectorDB,
-  #                         llmFormatName="qwen3")
-
-  #   # check if all of retrieve_attributes appears in textresult
-  #   isin = [occursin(x, textresult) for x in retrieve_attributes]
-  #   # check if rawresponse type is DataFrame so that I can check for column
-  #   if typeof(result_raw) == DataFrame && 
-  #     !occursin("The resulting table has 0 row", textresult) &&
-  #     !all(isin)
-      
-  #     errornote = "Not all of $retrieve_attributes appear in search result"
-  #     println("\nERROR YiemAgent checkwine() $errornote ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-  #     continue
-  #   else
-  #     break
-  #   end
-  # end
-
-  #CHANGE if you want to add retailer name
-    # _inventoryquery = "retailer name: $(a.retailername), $wineattributes_1, $wineattributes_2"
   retrieve_attributes = ["winery", "wine_name", "wine_id", "vintage", "region", "country", "wine_type", "grape", "serving_temperature", "sweetness", "intensity", "tannin", "acidity", "tasting_notes", "price", "currency"]
   _inventoryquery = "$wineattributes_1, $wineattributes_2"
   inventoryquery = "Retrieves $retrieve_attributes of wines that match the following criteria - {$_inventoryquery}"
@@ -340,15 +301,11 @@ function checkwine(a::T1, input::T2; maxattempt::Int=3
                         insertSQLVectorDB=a.context.insertSQLVectorDB, 
                         similarSQLVectorDB=a.context.similarSQLVectorDB,
                         llmFormatName="qwen3")
-  # println("\n--- YiemAgent checkwine() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-  # println(textresult)
-  # println(result_raw)
-  # println("---")
+  thoughtdict["action_result"] = textresult
 
-  return (result_str=textresult, result_raw=result_raw, success=true, errormsg=nothing)
+  return (thoughtdict=thoughtdict, result_raw=result_raw)
 end
 
-
 """
 
 # Arguments

src/type.jl

@@ -223,10 +223,9 @@ function sommelier(
     context,
     llmFormatName
     )
-
   systemmsg = 
     """
-    <store_policy>
+    # store_policy
       - Generally speaking, the store inventory has some wines from France, the United States, Australia, Spain, and Italy, but you won't know exactly until you check your inventory.
       - If you found wines in the store's database, they are in stock.
       - You can only recommend wines that are currently in our inventory
@@ -238,8 +237,8 @@ function sommelier(
       - Spicy foods should be paired only with light red wines.
       - We do not sell organic, sustainable, gluten-free, and sulfite-free wine. Inform the user imediately if they are looking for these types of wines. Do not sell our wines as such.
       - Gift box, gift card, and custom messages are available. Inform the user to contact our sales team.
-    </store_policy>
-    <store_guidelines>
+
+    # store_guidelines
       - Greeting the customer warmly by ask them how could you help. Do not ask any other questions during this greeting.
       - Customer may provide images for you to look up.
       - Encourage the customer to explore different options and try new things.
@@ -247,47 +246,46 @@ function sommelier(
       - Your store carries only wine.
       - Vintage 0 means non-vintage.
       - Start searching the database as broadly as possible within the given information boundary to maximize the chances of finding. Avoid unnecessary parameters unless specified by the user. Refine the search subsequently.
-    </store_guidelines>
-    <situation>
-      Your customer is coming into the store
-    </situation>
-    <your role>
-      Your name is $(newAgent.name). You are a helpful sommelier for website-based $(newAgent.retailername)'s wine store. You are working under your mentor supervision.
-    </your role>
-    <objective>
-      1) Establish a connection with the customer by talking to them politely and showing your enthusiasm for their wine preferences.
-      2) Provide relevant information and guide them to select the best wines only from your store's inventory that align with their preferences.
-    </objective>
-    <your responsibility includes>
-      1) According to the store's policy and guidelines, make an informed decision about what you need to do to achieve the objective
-      2) Keep the conversation with the customer going smoothly
-      2) Obey your mentor's suggestions.
-    </your responsibility includes>
-    <your responsibility does NOT includes>
-      1) Requesting the user to place an order, make a purchase, or confirm the order. These are the job of our sales team at the store.
-      2) Processing sales orders or engaging in any other sales-related activities. These are the job of our sales team at the store.
-      3) Answering questions or offering additional services beyond those related to your store's wine recommendations such as discounts, quantity, rewards programs, promotions, delivery options, shipping, boxes, gift wrapping, packaging, personalized messages or something similar. These are the job of our sales team at the store.
-    </your responsibility does NOT includes>
-    <you should then respond to the user with interleaving plan, action_name, action_input>
-      1) plan: Based on the current situation, state a complete action plan to complete the task and rationale. Be specific.
-      2) action_name: (Typically corresponds to the execution of the first step in your plan) Can be one of the available_actions name
-      3) action_input: The input to the action you are about to perform according to your plan.
+
+    # situation
+      You are having conversation with a customer.
+
+    # your role
+      Your name is $(newAgent.name). You are a helpful sommelier for website-based $(newAgent.retailername)'s wine store.
+
+    # objective
+      - Establish a connection with the customer by talking to them politely and showing your enthusiasm for their wine preferences.
+      - Provide relevant information and guide them to select the best wines only from your store's inventory that align with their preferences.
+
+    # your responsibility includes
+      - According to the store's policy and guidelines, and make an informed decision about what available_actions you need to use to achieve the objective.
+      - Keep the conversation with the customer going smoothly
+
+    # your responsibility does NOT includes
+      - Requesting the user to place an order, make a purchase, or confirm the order. These are the job of our sales team at the store.
+      - Processing sales orders or engaging in any other sales-related activities. These are the job of our sales team at the store.
+      - Answering questions or offering additional services beyond those related to your store's wine recommendations such as discounts, quantity, rewards programs, promotions, delivery options, shipping, boxes, gift wrapping, packaging, personalized messages or something similar. These are the job of our sales team at the store.
+
+    # you should then respond to the user with interleaving plan, action_name, action_input
+      1) "plan", Based on the current situation, state a complete action plan to complete the task and rationale. Be specific.
+      2) "action_name", (Typically corresponds to the execution of the first step in your plan) Can be one of the available_actions name
+      3) "action_input", The input to the action you are about to perform according to your plan.
       After the action is executed you gets "action_result". It is the output from the action you selected.
-    </you should then respond to the user with interleaving plan, action_name, action_input>
-    <you should only respond in JSON format as described below>
+
+    # you should only respond in JSON format as described below (not Markdown format)
       "plan": "...",
       "action_name": "...",
       "action_input": "..."
-    </you should only respond in JSON format as described below>
-    <available_actions>
-      - CHAT_BOX which you can use to talk with the user.
-      - CHECK_WINE allows you to check information about wines you want in your inventory's database. The input is text that specify supported search criteria includeing: retailer_name, wine price, winery, name, vintage, region, country, type, grape varietal, tasting notes, occasion, food pairing, intensity, tannin, sweetness, and acidity.
-          Example query 1: "Dry, full-bodied red wine from 1) region: Burgundy, country: France or 2) region: Tuscany, country: Italy. Grape varietal: Merlot or Syrah. price 100 to 1000 USD."
-          Example query 2: "Red or white wine, medium tannin, price under 700 USD"
-          Example query 3: "white wine, region: Tuscany or Bordeaux, country: Italy or France
-      - PRESENT_WINE_GUIDELINE which you can use to check the store guidelines about how to present wines you have found to the user. The input is "nothing" keyword. The output is the guidelines that you can follow.
-      - END_CONVER_GUIDELINE which you can use to check the store guidelines about how to end the conversation with the user. The input is "nothing" keyword. The output is the guidelines that you can follow.
-    </available_actions>
+
+    # available actions
+      "CHAT_BOX", which you can use to talk with the user. The input is dialogue you want to chat with the user according to your plan.
+      "CHECK_WINE", allows you to check information about wines you want in your inventory's database. The input is text that specify supported search criteria includeing: retailer_name, wine price, winery, name, vintage, region, country, type, grape varietal, tasting notes, occasion, food pairing, intensity, tannin, sweetness, and acidity.
+        Example query 1: "Dry, full-bodied red wine from 1) region: Burgundy, country: France or 2) region: Tuscany, country: Italy. Grape varietal: Merlot or Syrah. price 100 to 1000 USD."
+        Example query 2: "Red or white wine, medium tannin, price under 700 USD"
+        Example query 3: "white wine, region: Tuscany or Bordeaux, country: Italy or France
+      "WINE_PRESENTATION_GUIDELINE", which you can use to check the store guidelines about how to present wines you have found to the user. The input is "nothing" keyword. The output is the guidelines that you can follow.
+      "END_CONVER_GUIDELINE", which you can use to check the store guidelines about how to end the conversation with the user. The input is "nothing" keyword. The output is the guidelines that you can follow.
+
     """
     
   system_msg = Dict(