update

Reviewed-on: #30

Manifest.toml

@@ -2,7 +2,7 @@
 
 julia_version = "1.12.6"
 manifest_format = "2.0"
-project_hash = "a2c996ffe370e277cbff80af974d2701698f1b6c"
+project_hash = "dc7878808bbc4637a12e709dd495979a784824a5"
 
 [[deps.Accessors]]
 deps = ["CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "MacroTools"]
@@ -38,6 +38,12 @@ version = "1.1.3"
 uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
 version = "1.1.2"
 
+[[deps.ArnoldiMethod]]
+deps = ["LinearAlgebra", "Random", "StaticArrays"]
+git-tree-sha1 = "d57bd3762d308bded22c3b82d033bff85f6195c6"
+uuid = "ec485272-7323-5ecc-a04f-4719b315124d"
+version = "0.4.0"
+
 [[deps.ArrowTypes]]
 deps = ["Sockets", "UUIDs"]
 git-tree-sha1 = "404265cd8128a2515a81d5eae16de90fdef05101"
@@ -91,9 +97,9 @@ uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
 version = "0.7.8"
 
 [[deps.CommonSolve]]
-git-tree-sha1 = "99ee296f88c12485402e37c2fd025f95ae097637"
+git-tree-sha1 = "eeaad7cef88554c2fa56b5a3f71cfd5cb708c662"
 uuid = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
-version = "0.2.9"
+version = "0.2.11"
 
 [[deps.Compat]]
 deps = ["TOML", "UUIDs"]
@@ -181,6 +187,20 @@ git-tree-sha1 = "e98abef36d02a0ec385d68cd7dadbce9b28cbd88"
 uuid = "abce61dc-4473-55a0-ba07-351d65e31d42"
 version = "0.4.1"
 
+[[deps.Distances]]
+deps = ["LinearAlgebra", "Statistics", "StatsAPI"]
+git-tree-sha1 = "c7e3a542b999843086e2f29dac96a618c105be1d"
+uuid = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
+version = "0.10.12"
+
+    [deps.Distances.extensions]
+    DistancesChainRulesCoreExt = "ChainRulesCore"
+    DistancesSparseArraysExt = "SparseArrays"
+
+    [deps.Distances.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+
 [[deps.Distributed]]
 deps = ["Random", "Serialization", "Sockets"]
 uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
@@ -224,11 +244,21 @@ git-tree-sha1 = "27415f162e6028e81c72b82ef756bf321213b6ec"
 uuid = "e2ba6199-217a-4e67-a87a-7c52f15ade04"
 version = "0.1.10"
 
+[[deps.EzXML]]
+deps = ["Printf", "XML2_jll"]
+git-tree-sha1 = "7ea1aa5869e2626ccae84480e4f37185bc6f41d3"
+uuid = "8f5d6c58-4d21-5cfd-889c-e3ad7ee6a615"
+version = "1.2.3"
+
 [[deps.FileIO]]
 deps = ["Pkg", "Requires", "UUIDs"]
-git-tree-sha1 = "91e0e5c68d02bcdaae76d3c8ceb4361e8f28d2e9"
+git-tree-sha1 = "6621fef488e496356c9c9625d0562c12a6070819"
 uuid = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
-version = "1.16.5"
+version = "1.20.0"
+weakdeps = ["HTTP"]
+
+    [deps.FileIO.extensions]
+    HTTPExt = "HTTP"
 
 [[deps.FilePathsBase]]
 deps = ["Compat", "Dates"]
@@ -250,6 +280,7 @@ deps = ["LinearAlgebra"]
 git-tree-sha1 = "2f979084d1e13948a3352cf64a25df6bd3b4dca3"
 uuid = "1a297f60-69ca-5386-bcde-b61e274b549b"
 version = "1.16.0"
+weakdeps = ["PDMats", "SparseArrays", "StaticArrays", "Statistics"]
 
     [deps.FillArrays.extensions]
     FillArraysPDMatsExt = "PDMats"
@@ -257,12 +288,6 @@ version = "1.16.0"
     FillArraysStaticArraysExt = "StaticArrays"
     FillArraysStatisticsExt = "Statistics"
 
-    [deps.FillArrays.weakdeps]
-    PDMats = "90014a1f-27ba-587c-ab20-58faa44d9150"
-    SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
-    StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
-    Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
-
 [[deps.Future]]
 deps = ["Random"]
 uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820"
@@ -274,18 +299,31 @@ uuid = "a0844989-3bd2-4988-8bea-c9407ab0941b"
 version = "1.1.0"
 
 [[deps.GeneralUtils]]
-deps = ["CSV", "DataFrames", "DataStructures", "Dates", "Distributions", "HTTP", "JSON", "NATS", "PrettyPrinting", "Random", "Revise", "SHA", "UUIDs"]
+deps = ["CSV", "DataFrames", "DataStructures", "Dates", "Distributions", "Graphs", "HTTP", "JSON", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "SHA", "StringDistances", "UUIDs"]
-git-tree-sha1 = "7c0600c166a5deb2c607018a491c04eb25969c2e"
+git-tree-sha1 = "a75a088ee8e5faf10f554ca00748e0e6ca58d1ca"
 repo-rev = "main"
 repo-url = "https://git.yiem.cc/ton/GeneralUtils"
 uuid = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
-version = "0.4.9"
+version = "0.5.1"
+
+[[deps.Graphs]]
+deps = ["ArnoldiMethod", "DataStructures", "Inflate", "LinearAlgebra", "Random", "SimpleTraits", "SparseArrays", "Statistics"]
+git-tree-sha1 = "7eb45fe833a5b7c51cf6d89c5a841d5967e44be3"
+uuid = "86223c79-3864-5bf0-83f7-82e725a168b6"
+version = "1.14.0"
+
+    [deps.Graphs.extensions]
+    GraphsSharedArraysExt = "SharedArrays"
+
+    [deps.Graphs.weakdeps]
+    Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+    SharedArrays = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
 
 [[deps.HTTP]]
 deps = ["Base64", "CodecZlib", "Dates", "EnumX", "PrecompileTools", "Random", "Reseau", "SHA", "URIs", "UUIDs", "Zlib_jll"]
-git-tree-sha1 = "eda1d37cb55d90a17d0957c75841138c88b361a1"
+git-tree-sha1 = "c2c808326222b6dc4bec295a83b55f79aeec98e0"
 uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3"
-version = "2.5.4"
+version = "2.5.5"
 
 [[deps.HashArrayMappedTries]]
 git-tree-sha1 = "2eaa69a7cab70a52b9687c8bf950a5a93ec895ae"
@@ -310,6 +348,11 @@ git-tree-sha1 = "cf8234411cbeb98676c173f930951ea29dca3b23"
 uuid = "a303e19e-6eb4-11e9-3b09-cd9505f79100"
 version = "0.2.4"
 
+[[deps.Inflate]]
+git-tree-sha1 = "d1b1b796e47d94588b3757fe84fbf65a5ec4a80d"
+uuid = "d25df0c9-e2be-5dd7-82c8-3ad0b3e990b9"
+version = "0.1.5"
+
 [[deps.InlineStrings]]
 git-tree-sha1 = "8f3d257792a522b4601c24a577954b0a8cd7334d"
 uuid = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48"
@@ -463,6 +506,12 @@ version = "1.11.3+1"
 uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 version = "1.11.0"
 
+[[deps.Libiconv_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "be484f5c92fad0bd8acfef35fe017900b0b73809"
+uuid = "94ce4f54-9a6c-5748-9c1c-f9c7231a4531"
+version = "1.18.0+0"
+
 [[deps.LinearAlgebra]]
 deps = ["Libdl", "OpenBLAS_jll", "libblastrampoline_jll"]
 uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -645,15 +694,17 @@ version = "0.4.2"
 
 [[deps.PrettyTables]]
 deps = ["Crayons", "LaTeXStrings", "Markdown", "PrecompileTools", "Printf", "REPL", "Reexport", "StringManipulation", "Tables"]
-git-tree-sha1 = "624de6279ab7d94fc9f672f0068107eb6619732c"
+git-tree-sha1 = "ebf455bb866ee6737030e3d3816bb6a0683c4325"
 uuid = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
-version = "3.3.2"
+version = "3.4.0"
 
     [deps.PrettyTables.extensions]
+    PrettyTablesExcelExt = "XLSX"
     PrettyTablesTypstryExt = "Typstry"
 
     [deps.PrettyTables.weakdeps]
     Typstry = "f0ed7684-a786-439e-b1e3-3b82803b501e"
+    XLSX = "fdbf4ff8-1666-58a4-91e7-1b58723a45e0"
 
 [[deps.Printf]]
 deps = ["Unicode"]
@@ -734,9 +785,9 @@ version = "0.5.1+0"
 
 [[deps.Roots]]
 deps = ["Accessors", "CommonSolve", "Printf"]
-git-tree-sha1 = "ed45bcc7cf3c8887595b973f2b1efbe91dcc50ec"
+git-tree-sha1 = "a7caaf7ba8cf307112ca443784d1b56b4a591455"
 uuid = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
-version = "3.0.1"
+version = "3.0.5"
 
     [deps.Roots.extensions]
     RootsChainRulesCoreExt = "ChainRulesCore"
@@ -760,11 +811,11 @@ 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 = "2807a768907f59308d8d71ece599037b0a66b0a5"
+git-tree-sha1 = "bae2fd2e2b087753fbb3415896be41df1ae0eb90"
 repo-rev = "main"
 repo-url = "https://git.yiem.cc/ton/SQLLLM"
 uuid = "2ebc79c7-cc10-4a3a-9665-d2e1d61e63d3"
-version = "0.2.7"
+version = "0.2.8"
 
 [[deps.SQLStrings]]
 git-tree-sha1 = "55de0530689832b1d3d43491ee6b67bd54d3323c"
@@ -789,10 +840,22 @@ git-tree-sha1 = "084c47c7c5ce5cfecefa0a98dff69eb3646b5a80"
 uuid = "91c51154-3ec4-41a3-a24f-3f23e20d615c"
 version = "1.4.10"
 
+[[deps.Serde]]
+deps = ["CSV", "Dates", "EzXML", "JSON", "TOML", "UUIDs", "YAML"]
+git-tree-sha1 = "f397fc8779cc53e4677c2708f3802c6996f28d00"
+uuid = "db9b398d-9517-45f8-9a95-92af99003e0e"
+version = "3.7.2"
+
 [[deps.Serialization]]
 uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 version = "1.11.0"
 
+[[deps.SimpleTraits]]
+deps = ["InteractiveUtils", "MacroTools"]
+git-tree-sha1 = "7ddb0b49c109481b046972c0e4ab02b2127d6a75"
+uuid = "699a6c99-e7fa-54fc-8d76-47d257e15c1d"
+version = "0.9.6"
+
 [[deps.Sockets]]
 uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
 version = "1.11.0"
@@ -826,6 +889,25 @@ version = "2.8.0"
     [deps.SpecialFunctions.weakdeps]
     ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 
+[[deps.StaticArrays]]
+deps = ["LinearAlgebra", "PrecompileTools", "Random", "StaticArraysCore"]
+git-tree-sha1 = "246a8bb2e6667f832eea063c3a56aef96429a3db"
+uuid = "90137ffa-7385-5640-81b9-e52037218182"
+version = "1.9.18"
+
+    [deps.StaticArrays.extensions]
+    StaticArraysChainRulesCoreExt = "ChainRulesCore"
+    StaticArraysStatisticsExt = "Statistics"
+
+    [deps.StaticArrays.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
+[[deps.StaticArraysCore]]
+git-tree-sha1 = "6ab403037779dae8c514bad259f32a447262455a"
+uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
+version = "1.4.4"
+
 [[deps.Statistics]]
 deps = ["LinearAlgebra"]
 git-tree-sha1 = "ae3bb1eb3bba077cd276bc5cfc337cc65c3075c0"
@@ -862,6 +944,18 @@ version = "2.2.0"
     ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
     InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
 
+[[deps.StringDistances]]
+deps = ["Distances", "StatsAPI"]
+git-tree-sha1 = "cd83a04baf746e3b43b83c61b7de77ab0409b80a"
+uuid = "88034a9c-02f8-509d-84a9-84ec65e18404"
+version = "1.0.0"
+
+[[deps.StringEncodings]]
+deps = ["Libiconv_jll"]
+git-tree-sha1 = "b765e46ba27ecf6b44faf70df40c57aa3a547dcb"
+uuid = "69024149-9ee7-55f6-a4c4-859efe599b68"
+version = "0.3.7"
+
 [[deps.StringManipulation]]
 deps = ["PrecompileTools"]
 git-tree-sha1 = "d05693d339e37d6ab134c5ab53c29fce5ee5d7d5"
@@ -982,11 +1076,23 @@ git-tree-sha1 = "cd1659ba0d57b71a464a29e64dbc67cfe83d54e7"
 uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60"
 version = "1.6.1"
 
+[[deps.XML2_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Zlib_jll"]
+git-tree-sha1 = "3f3315d89fc954a28f5b471bce698ed6e27481be"
+uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a"
+version = "2.15.3+0"
+
+[[deps.YAML]]
+deps = ["Base64", "Dates", "Printf", "StringEncodings"]
+git-tree-sha1 = "a1c0c7585346251353cddede21f180b96388c403"
+uuid = "ddb6d928-2868-570f-bddf-ab3f9cf99eb6"
+version = "0.4.16"
+
 [[deps.YiemAgent]]
-deps = ["CSV", "DataFrames", "DataStructures", "Dates", "GeneralUtils", "HTTP", "JSON", "LLMMCTS", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "Serialization", "URIs", "UUIDs"]
+deps = ["Base64", "CSV", "DataFrames", "DataStructures", "Dates", "GeneralUtils", "HTTP", "JSON", "LLMMCTS", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "SQLLLM", "Serialization", "URIs", "UUIDs"]
 path = "."
 uuid = "e012c34b-7f78-48e0-971c-7abb83b6f0a2"
-version = "0.5.0"
+version = "0.7.2"
 
 [[deps.Zlib_jll]]
 deps = ["Libdl"]

Project.toml

@@ -1,9 +1,10 @@
 name = "YiemAgent"
 uuid = "e012c34b-7f78-48e0-971c-7abb83b6f0a2"
-version = "0.5.0"
+version = "0.7.4"
 authors = ["narawat lamaiin <narawat@outlook.com>"]
 
 [deps]
+Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
@@ -18,16 +19,19 @@ PrettyPrinting = "54e16d92-306c-5ea0-a30b-337be88ac337"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 SQLLLM = "2ebc79c7-cc10-4a3a-9665-d2e1d61e63d3"
+Serde = "db9b398d-9517-45f8-9a95-92af99003e0e"
 Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 URIs = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
 [compat]
+Base64 = "1.11.0"
 CSV = "0.10.15"
 DataFrames = "1.7.0"
-GeneralUtils = "0.4.9"
+GeneralUtils = "0.5.1"
 HTTP = "2.4.0"
 JSON = "1.6.1"
 LLMMCTS = "0.1.5"
 NATS = "0.1.0"
-SQLLLM = "0.2.7"
+SQLLLM = "0.2.8"
+Serde = "3.7.2"

aisystemprompt.md

@@ -54,7 +54,7 @@ Your name is $(newAgent.name). You are a helpful sommelier for website-based $(n
 # 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.
+- **SEARCH_WINE_DATABASE** 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

appconfig.json

@@ -6,6 +6,7 @@
   "testingOrProduction": "testing",
   "agentId": "2b74b87a-5413-4fe2-a4d3-405891051680",
   "agentCentralConfigSubject": "/yiem/hq/agent/sommelier/backend/config/api/v1.1",
+  "this_service_name": "agent_backend",
   "this_service_input_channel": {
     "mqtt": [
         "/yiem/hq/agent/sommpanion/backend/db/api_v1"
@@ -16,7 +17,7 @@
   },
   "agentRole": "sommelier",
   "organization": "yiem_hq",
-  "externalService": {
+  "externalservice": {
     "servicesloadbalancer": {
       "nats": "sommpanion.backend.servicesloadbalancer.v1.inbox" 
     },
@@ -35,15 +36,15 @@
       "description": "A database connection info for LibPQ client",
       "url": "192.168.88.106:5432",
       "dbname": "winedb",
-      "user": "yiemtechnologies@gmail.com",
+      "user": "admin",
-      "password": "yiemtechnologies@Postgres_0.0"
+      "password": "admin@Sommpanion_0.0"
     },
     "sommpanion_vectordb" : {
       "description": "A wine database connection info for LibPQ client",
       "url": "192.168.88.106:5433",
       "dbname": "vectordb",
-      "user": "yiemtechnologies@gmail.com",
+      "user": "admin",
-      "password": "yiemtechnologies@Postgres_0.0"
+      "password": "admin@Sommpanion_0.0"
     },
     "fileserver": {
     "description": "temporary file server",

etc.jl

@@ -1,13 +1,200 @@
+using HTTP, JSON, URIs, Random, PrettyPrinting, UUIDs, Dates, DataFrames, DataStructures
+using GeneralUtils, SQLLLM, YiemAgent
+
+config = JSON.parsefile("./appconfig.json")
+host_url, _port = split(config["externalservice"]["sommpanion_db"]["url"], ':')
+port = parse(Int, _port)
+dbname = "winedb"
+user = config["externalservice"]["sommpanion_db"]["user"]
+password = config["externalservice"]["sommpanion_db"]["password"]
+pg_conn_str = "host=$host_url port=$port dbname=$dbname user=$user password=$password"
+
+  function execute_sql_winedb(sql::T) where {T<:AbstractString}
+    host_url, _port = split(config["externalservice"]["sommpanion_db"]["url"], ':')
+    port = parse(Int, _port)
+    dbname = "winedb"
+    user = config["externalservice"]["sommpanion_db"]["user"]
+    password = config["externalservice"]["sommpanion_db"]["password"]
+    db_connection = LibPQ.Connection("host=$host_url port=$port dbname=$dbname user=$user password=$password")
+    result = nothing
+    try
+      result = LibPQ.execute(db_connection, sql)  
+    catch e
+      LibPQ.close(db_connection)
+    end
+    
+    LibPQ.close(db_connection)
+    return result
+  end
 
 
 
-d = Dict(
+sql =
-  "hello"=> 555,
+"""
-  "world"=> Dict(
+SELECT T1.winery, T1.wine_name, T1.wine_id, T1.vintage, T1.region, T1.country, T1.wine_type, T1.grape, T1.serving_temperature, T1.sweetness, T1.intensity, T1.tannin, T1.acidity, T1.tasting_notes, T2.price, T2.currency, T1.image_url, T3.retailer_name, T3.retailer_id FROM "wine" AS T1 JOIN "retailer_wine" AS T2 ON T1.wine_id = T2.wine_id JOIN "retailer" AS T3 ON T2.retailer_id = T3.retailer_id WHERE T1.wine_name = 'Montrachet Grand Cru' AND T1.winery = 'Domaine Jacques Prieur' AND T3.retailer_name = 'Yiem Wines Ltd' AND T3.retailer_id = 'f54eab6b-7650-4448-b009-c53f3efbcc3b';
-    "name"=> "ton"
+"""
-  )
+
-)
+textresult, sql_result_raw, _, _ = YiemAgent.SQLexecution(execute_sql_winedb, sql)
+result_vec = GeneralUtils.dfToVectorDict(sql_result_raw)
+
+for d in result_vec
+  wine_name = d["wine_name"]
+  image_url_json_str = d["image_url"]
+  image_url_json_obj = JSON.parse(image_url_json)
+  base_url = "http://192.168.88.106:8080/"
+  image_base64 =
+    if haskey(image_url_json_obj, "bottle")
+      url = base_url * image_url_json_obj["bottle"]
+      image_data = HTTP.get(url)  # vector{int} data
+      image_base64_string = base64encode(image_data)
+    else
+      nothing
+    end
+  d["image"] = image_base64
+end
+
+
+
+
+
+
+
+
+
+
+using LibPQ
+using Tables
+
+"""
+    update_car_regions_one_by_one(conn::LibPQ.Connection, target_word::String)
+
+Iterates through all rows in the 'car' table where the region is "German", 
+and updates them one-by-one to the `target_word`.
+"""
+function update_car_regions_one_by_one(pg_conn_str::String, replace_word::String , target_word::String)
+  conn = LibPQ.Connection(pg_conn_str)
+    # 1. Fetch the target rows. Assumes 'id' is the primary key.
+    # We select the ID to target rows individually during the update step.
+    select_query = "SELECT id FROM car WHERE region = '$replace_word';"
+    
+    result = execute(conn, select_query)
+    rows = Tables.rows(result)
+    
+    # 2. Prepare the update statement for execution reuse
+    # Using explicit types for parameter placeholders ($1, $2)
+    update_query = "UPDATE car SET region = \$1 WHERE id = \$2;"
+    
+    println("Starting one-by-one update...")
+    updated_count = 0
+
+    # 3. Iterate through rows one-by-one
+    for row in rows
+        # LibPQ row values are accessed via properties or column names
+        row_id = row.id 
+        
+        # Execute the parameterized statement safely
+        execute(conn, update_query, [target_word, row_id])
+        updated_count += 1
+    end
+
+    println("Successfully updated \$updated_count rows.")
+    return updated_count
+end
+
+
+
+
+
+
+
+
+
+
+
+function generate_wine_retail_sql(conditions::Dict{String, Any})::String
+    # 1. Base SQL structure
+    base_query = """
+SELECT
+  w.winery,
+  w.wine_name,
+  w.wine_id,
+  w.vintage,
+  w.region,
+  w.country,
+  w.wine_type,
+  w.grape,
+  w.serving_temperature,
+  w.sweetness,
+  w.intensity,
+  w.tannin,
+  w.acidity,
+  w.tasting_notes,
+  rw.price,
+  rw.currency,
+  w.image_url,
+  NULL AS retailer_name,
+  rw.retailer_id
+FROM wine AS w
+JOIN retailer_wine AS rw
+  ON w.wine_id = rw.wine_id
+"""
+
+    # 2. Dynamic WHERE Clause Builder
+    where_clauses = String[]
+
+    # Iterate over each table condition provided
+    for (table_name, table_conditions) in conditions
+        
+        # Determine table alias
+        alias = if table_name == "wine"
+            "w"
+        elseif table_name == "retailer_wine"
+            "rw"
+        else
+            continue # Skip unsupported tables
+        end
+        
+        # Process condition dictionaries
+        if isa(table_conditions, Dict) && !isempty(table_conditions)
+            
+            for (column_name, filter_details) in table_conditions
+                
+                if isa(filter_details, Dict) && haskey(filter_details, "operator")
+                    op = filter_details["operator"]
+                    raw_val = filter_details["value"]
+                    
+                    # --- Value Type Handling ---
+                    # Use tryparse instead of try/catch for cleaner, faster parsing
+                    final_val = raw_val
+                    
+                    if op in ("=", "<", ">", "<=", ">=")
+                        str_val = string(raw_val)
+                        num_val = tryparse(Float64, str_val)
+                        
+                        if !isnothing(num_val)
+                            final_val = isinteger(num_val) ? round(Int, num_val) : num_val
+                        end
+                    end
+                    
+                    # --- SQL Formatting ---
+                    if isa(final_val, Number)
+                        clause = "$(alias).$(column_name) $(op) $(final_val)"
+                    else
+                        # Escape single quotes within string values
+                        escaped_val = replace(string(final_val), "'" => "''")
+                        clause = "$(alias).$(column_name) $(op) '$(escaped_val)'"
+                    end
+
+                    push!(where_clauses, clause)
+                end
+            end
+        end
+    end
+
+    # 3. Assemble Final Query
+    where_sql = isempty(where_clauses) ? "" : "WHERE " * join(where_clauses, " AND ")
+    
+    return string(base_query, where_sql, ";")
+end
 
-x = 55
 
-@info "YiemAgent think() 1 " d x @__LINE__

src/interface.jl

@@ -4,7 +4,7 @@ export addNewMessage, conversation, decisionMaker, reflector, generatechat,
   generalconversation, detectWineryName, generateSituationReport
 
 using JSON, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization,
-      DataFrames, CSV
+      DataFrames, Serde
 using GeneralUtils
 using ..type, ..util, ..llmfunction
 
@@ -68,14 +68,14 @@ julia> result = decisionMaker(agent)
 
 OrderedDict{String, Any} with 4 entries:
   "plan"          => "The user provided an image of a sparkling white wine (Asolo Prosecco Bella Principessa from Italy) and requested a search for similar wines in the inventory. According to store guidelines, I must st…
-  "action_name"   => "CHECK_WINE"
+  "action_name"   => "SEARCH_WINE_DATABASE"
   "action_input"  => "Sparkling white wine from Italy"
   "action_result" => "1) winery: Terrazze dell Etna, wine_name: Rose Brut.
 ```
 """
-function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
+function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
   ) where {T<:agent}
-
+  @info "YiemAgent decisionMaker() start " @__LINE__
   # lessonDict = copy(JSON.parsefile("lesson.json"))
 
   # lesson =
@@ -122,23 +122,16 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
   errornote = "N/A"
   response = nothing # placeholder for show when error msg show up
 
-  for attempt in 1:maxattempt
+  msg = Dict(
-    if attempt > 1
-      println("\nYiemAgent decisionMaker() attempt $attempt/$maxattempt ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-    end
-    
-    msg = Dict(
       "model" => "gemma-4-E4B-it-UD-Q4_K_XL",
       "messages" => a.chathistory,
       "temperature" => 0.7
     )
 
+  for attempt in 1:maxattempt
     response = a.context.text2textInstructLLM(a.id, msg)
-    response = GeneralUtils.clean_json_response(response)
     response = GeneralUtils.remove_french_accents(response)
-    think, response = GeneralUtils.extractthink(response)
+    # think, response = GeneralUtils.extractthink(response)
-    response = String(split(response, ", observation")[1])  # in case LLM generate observation key which it isn't supposed to
-    response = strip(response)
 
     # dollar sign in Julia means string interpolation
     while occursin('$', response)
@@ -146,38 +139,32 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
     end
 
     responsedict = nothing
-    if occursin(requiredKeys[2], response) 
+    try
-      try
+      responsedict = Serde.parse_yaml(response)
-        _responsedict = JSON.parse(response)
+    catch e
-        responsedict = GeneralUtils.dictify(_responsedict; keytype=String, sort_order=requiredKeys)
+      println("\nERROR YiemAgent decisionMaker() Error: $e --(not qualify response)-> $response ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
-      catch
-        println("\nERROR YiemAgent decisionMaker() failed to parse response: $response ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-        continue
-      end
-
-    # fall back to normal text because LLM default to natural chat when it didn't use action_call
-    else  
-      try
-        responsedict = OrderedDict(
-          "plan"=> "I will talk to the user",
-          "action_name"=> "CHAT_BOX",
-          "action_input"=> response[2:end-1]  # remove { } at the front and back that added by clean_json_response
-          )
-      catch e
-        println("\nERROR YiemAgent decisionMaker(). $e --(not qualify response)-> $response", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
-        continue
-      end
-    end
-
-    # check whether all answer's key points are in responsedict
-    ispass, errormsg = GeneralUtils.checkAgentResponse_JSON(responsedict, requiredKeys)
-    if !ispass
-      errornote = errormsg
-      println("\nERROR YiemAgent decisionMaker() $errornote --(not qualify response)-> $responsedict", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
       continue
     end
     
-    # if responsedict["action_name"] ∉ ["CHAT_BOX", "CHECK_WINE", "PRESENT_WINE_GUIDELINE", "END_CONVER_GUIDELINE"]
+    # check whether all answer's key points are in responsedict
+    println("\n---")
+    println(responsedict)
+    println("---\n")
+    ispass, errormsg = GeneralUtils.checkAgentResponse_JSON(responsedict, requiredKeys)
+
+    if !ispass
+      errornote = errormsg
+      println("\nERROR YiemAgent decisionMaker() $errornote --(not qualify response)-> $responsedict ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
+      continue
+    end
+
+    if responsedict["action_input"] == "CHAT_BOX" && 
+      occursin("similar", responsedict["action_input"])
+
+      continue
+    end
+
+    # if responsedict["action_name"] ∉ ["CHAT_BOX", "SEARCH_WINE_DATABASE", "PRESENT_WINE_GUIDELINE", "END_CONVER_GUIDELINE"]
     #   errornote = "Your previous attempt didn't use the given functions"
     #   println("\nERROR YiemAgent decisionMaker() $errornote --(not qualify response)--> $(responsedict["action_name"])", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     #   continue
@@ -185,10 +172,17 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
 
     # println("\nYiem decisionMaker() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     # pprintln(responsedict)
-
+    @info "YiemAgent decisionMaker() end " @__LINE__
     return responsedict
   end
-  error("DecisionMaker failed to generate a thought ", response)
+
+  # in case decisionMaker failed, force to use generatechat!()
+  responsedict = OrderedDict(
+    "plan"=> "N/A",
+    "action_name"=> "CHAT_BOX",
+    "action_input"=> "N/A"
+  )
+  return responsedict
 end
 
 
@@ -317,7 +311,7 @@ function evaluator(a::T1, timeline, decisiondict, evaluateecontext
     ispass, errormsg = checkAgentResponse_JSON(responsedict, requiredKeys)
     if !ispass
       errornote = errormsg
-      println("\nERROR YiemAgent evaluator() $errornote --(not qualify response)> $responsedict", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
+      println("\nERROR YiemAgent evaluator() $errornote --(not qualify response)> $responsedict ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
       continue
     end
 
@@ -360,7 +354,7 @@ message => Dict(
 function conversation(a::sommelier; userinput::Union{Dict{String, Any}, JSON.Object{String, Any}},
                       maximumMsg=50, max_think_loop::Integer=3)
   
-  @info "YiemAgent conversation() 1 " @__LINE__
+  @info "YiemAgent conversation() start " @__LINE__
   userinput = GeneralUtils.dictify(userinput; keytype=String, sort_order=["text"])
 
   # find text in usermsg
@@ -376,7 +370,7 @@ function conversation(a::sommelier; userinput::Union{Dict{String, Any}, JSON.Obj
     clearhistory(a)
     return "Okay. What shall we talk about?"
   else
-    @info "YiemAgent conversation() 2 " @__LINE__
+
     # add usermsg to a.chathistory but how do I handle images?
     addNewMessage(a, "user", userinput; maximumMsg=maximumMsg)
 
@@ -385,30 +379,119 @@ function conversation(a::sommelier; userinput::Union{Dict{String, Any}, JSON.Obj
     while true
       loopcount += 1
       if loopcount > max_think_loop
-        @info "YiemAgent conversation() 2-1 think count $loopcount " @__LINE__
-        r = generatechat!(a)
-        @info "YiemAgent conversation() 2-2 think count $loopcount " @__LINE__
-        return r
-      end
 
-      @info "YiemAgent conversation() 2-3 think count $loopcount " @__LINE__
+        thoughtdict, result_raw = generatechat!(a)
-      thoughtdict, _ = think(a)
-      if thoughtdict["action_name"] ∈ ["CHAT_BOX"]
-        @info "YiemAgent conversation() 2-4 think count $loopcount " @__LINE__
         assistant_response = Dict{String, Any}(
           "role" => "assistant",
           "content" => [Dict("type" => "text", "text" => thoughtdict["action_input"]),]
         )
         addNewMessage(a, "assistant", assistant_response; maximumMsg=maximumMsg)
-        return thoughtdict["action_input"]
 
-      else
+        items_info = []
+        send_item_ind = []  # index of the item being send to frontend
+        if haskey(a.memory["shortmem"], "items_info")
+          for (i, item) in enumerate(a.memory["shortmem"]["items_info"])
+            @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)), item name: $(item["wine_name"])  " @__LINE__
+            if haskey(item, "wine_name") && occursin(item["wine_name"], thoughtdict["action_input"])
+              push!(items_info, deepcopy(item))
+              push!(send_item_ind, i)
+              @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)) " @__LINE__
+            end
+          end
+          # remove sent items
+          deleteat!(a.memory["shortmem"]["items_info"], send_item_ind)
+          @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)) " @__LINE__
+        end
+        
+        response_to_frontend = Dict{String, Any}(
+          "role" => "assistant",
+          "content" => [
+              Dict("type" => "text", "text" => thoughtdict["action_input"]),
+              Dict(
+                "type" => "items_info",
+                "items_info" => items_info
+              ),
+            ]
+        )
+
+        return response_to_frontend
+      end
+
+
+      thoughtdict, result_raw = think(a)
+
+      if thoughtdict["action_name"] ∈ ["CHAT_BOX"]
+        assistant_response = Dict{String, Any}(
+          "role" => "assistant",
+          "content" => [Dict("type" => "text", "text" => thoughtdict["action_input"]),]
+        )
+        addNewMessage(a, "assistant", assistant_response; maximumMsg=maximumMsg)
+
+        items_info = []
+        send_item_ind = []  # index of the item being send to frontend
+        if haskey(a.memory["shortmem"], "items_info")
+          for (i, item) in enumerate(a.memory["shortmem"]["items_info"])
+            @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)), item name: $(item["wine_name"])  " @__LINE__
+            if haskey(item, "wine_name") && occursin(item["wine_name"], thoughtdict["action_input"])
+              push!(items_info, deepcopy(item))
+              push!(send_item_ind, i)
+              @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)) " @__LINE__
+            end
+          end
+          # remove sent items
+          deleteat!(a.memory["shortmem"]["items_info"], send_item_ind)
+          @info "YiemAgent conversation() shortmem: $(length(a.memory["shortmem"]["items_info"])), items_info: $(length(items_info)) " @__LINE__
+        end
+        
+        response_to_frontend = Dict{String, Any}(
+          "role" => "assistant",
+          "content" => [
+              Dict("type" => "text", "text" => thoughtdict["action_input"]),
+              Dict(
+                "type" => "items_info",
+                "items_info" => items_info
+              ),
+            ]
+        )
+
+        """ intended message to send to frontend should have the following format. 
+        response_to_frontend = Dict{String, Any}(
+          "role" => "assistant",
+          "content" => [
+            Dict("type" => "text", "text" => "assistant_text_response"),
+            Dict(
+              "type" => "items_info",
+              "items_info" => [
+                          Dict(
+                            "wine_name"=> "wine name 1",
+                            "wine_id"=> "...",
+                            "image"=> base64 encoded image,
+                            ...
+                          ),
+                          Dict(
+                            "wine_name"=> "wine name 2",
+                            "wine_id"=> "...",
+                            "image"=> base64 encoded image,
+                            ...
+                          ),
+                        ]
+            ),
+          ]
+        )
+        """
+        
+
+        return response_to_frontend
+      else  # still in action
+
         action_name = thoughtdict["action_name"]
         action_input = thoughtdict["action_input"]
+
         action_call = Dict{String, Any}(
             "role" => "action_call",
             "content" => [Dict("type" => "text", "text" => "{action_name: $action_name, action_input: $action_input}"),]
           )
+
         addNewMessage(a, "action_call", action_call; maximumMsg=maximumMsg)
 
         action_result = thoughtdict["action_result"]
@@ -416,7 +499,9 @@ function conversation(a::sommelier; userinput::Union{Dict{String, Any}, JSON.Obj
             "role" => "action_result",
             "content" => [Dict("type" => "text", "text" => "$action_result"),]
           )
+
         addNewMessage(a, "actionresult", actionresult; maximumMsg=maximumMsg)
+        @info "YiemAgent conversation() end think count $loopcount " @__LINE__
       end
     end
   end
@@ -436,44 +521,51 @@ julia>
 """
 function think(a::T)::NamedTuple{(:thoughtdict, :result_raw), Tuple{OrderedDict, Any}} where {T<:agent}
   # a.memory[:recap] = generateSituationReport(a, a.context["text"2textInstructLLM]; skiprecent=0)
+  @info "YiemAgent think() start " @__LINE__
   thoughtdict = decisionMaker(a)
   @info "YiemAgent think() 1 " @__LINE__
-  # pprintln(thoughtdict)
+  @show thoughtdict
+  println("---\n")
 
   result_raw = nothing
   if thoughtdict["action_name"] ∈ ["CHAT_BOX"]
-    @info "YiemAgent think() 2 " @__LINE__
+
-    thoughtdict, result_raw = generatechat!(a)
+    # sometime CHAT_BOX input is too short. 
+    # if thoughtdict["action_input] < 20 character, use generatechat!()
+    if length(thoughtdict["action_input"]) < 20 
+      thoughtdict, result_raw = generatechat!(a)   
+    else
+      thoughtdict["action_result"] = "Action result is the next user dialogue."
+      result_raw = thoughtdict["action_input"]
+    end 
 
   elseif thoughtdict["action_name"] == "END_CONVER_GUIDELINE"
-    @info "YiemAgent think() 3 " @__LINE__
+
     thoughtdict, result_raw = end_conversation_guideline!(a, thoughtdict)
     
   elseif thoughtdict["action_name"] ∈ ["WINE_PRESENTATION_GUIDELINE"]
-    @info "YiemAgent think() 4 " @__LINE__
+
     thoughtdict, result_raw =  wine_presentation_guideline!(a, thoughtdict)
 
+  elseif thoughtdict["action_name"] == "SEARCH_WINE_DATABASE" 
 
-  elseif thoughtdict["action_name"] == "CHECK_WINE" 
+    thoughtdict, result_raw = search_wine_database!(a, thoughtdict; useSQLLLM=false)
-    @info "YiemAgent think() 5 " @__LINE__
+    if result_raw !== nothing && result_raw isa Vector
-    thoughtdict, result_raw = checkwine!(a, thoughtdict; useSQLLLM=false)
+      if haskey(a.memory["shortmem"], "items_info")
+        append!(a.memory["shortmem"]["items_info"], result_raw)
+      else
+        a.memory["shortmem"]["items_info"] = result_raw
+      end
+    end
     
   else
-    @info "YiemAgent think() 6 " @__LINE__
+
     error("condition is not defined ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
   end
 
-  # max_ind =
+  @info "YiemAgent think() end " @__LINE__
-  #   if length(a.memory["shortmem"]) == 0
+  @show thoughtdict
-  #     0
+  println("---\n")
-  #   else
-  #     k = keys(a.memory["shortmem"])
-  #     maximum(parse.(Int, k))
-  #   end
-  # a.memory["shortmem"]["$(max_ind + 1)"] = thoughtdict
-
-  pprintln(thoughtdict)
-  @info "YiemAgent think() 7 " @__LINE__
   return (thoughtdict=thoughtdict, result_raw=result_raw)
 end
 
@@ -550,7 +642,7 @@ end
 #PENDING
 function generatechat!(a::T; maxattempt::Integer=10
   )::NamedTuple{(:thoughtdict, :result_raw), Tuple{OrderedDict, Any}} where {T<:agent}
-
+  @info "YiemAgent generatechat!() start " @__LINE__
   # lessonDict = copy(JSON.parsefile("lesson.json"))
 
   # lesson =
@@ -664,7 +756,6 @@ function generatechat!(a::T; maxattempt::Integer=10
     response = GeneralUtils.clean_json_response(response)
     response = GeneralUtils.remove_french_accents(response)
     think, response = GeneralUtils.extractthink(response)
-    response = String(split(response, ", observation")[1])  # in case LLM generate observation key which it isn't supposed to
 
     response = strip(response)
 
@@ -677,30 +768,21 @@ function generatechat!(a::T; maxattempt::Integer=10
         println("\nERROR YiemAgent generatechat() failed to parse response: $response ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
         continue
       end
-
-    # fall back to normal text because LLM default to natural chat when it didn't use action_call
     else
-      try
+      println("\nERROR YiemAgent generatechat() $errornote --(not qualify response)> $responsedict ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
-        responsedict = OrderedDict(
+      continue
-          "plan"=> "I will talk to the user",
-          "action_name"=> "CHAT_BOX",
-          "action_input"=> response[2:end-1]  # remove { } at the front and back that added by clean_json_response
-          )
-      catch e
-        println("\nERROR YiemAgent decisionMaker(). $e --(not qualify response)-> $response", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
-        continue
-      end
     end
 
+
     # check whether all answer's key points are in responsedict
     ispass, errormsg = GeneralUtils.checkAgentResponse_JSON(responsedict, requiredKeys)
     if !ispass
       errornote = errormsg
-      println("\nERROR YiemAgent generatechat() $errornote --(not qualify response)> $responsedict", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
+      println("\nERROR YiemAgent generatechat() $errornote --(not qualify response)> $responsedict ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
       continue
     end
 
-    # if responsedict["action_name"] ∉ ["CHAT_BOX", "CHECK_WINE", "PRESENT_WINE_GUIDELINE", "END_CONVER_GUIDELINE"]
+    # if responsedict["action_name"] ∉ ["CHAT_BOX", "SEARCH_WINE_DATABASE", "PRESENT_WINE_GUIDELINE", "END_CONVER_GUIDELINE"]
     #   errornote = "Your previous attempt didn't use the given functions"
     #   println("\nERROR YiemAgent decisionMaker() $errornote --(not qualify response)--> $(responsedict["action_name"])", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     #   continue
@@ -708,9 +790,11 @@ function generatechat!(a::T; maxattempt::Integer=10
 
     # println("\nYiem decisionMaker() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     # pprintln(responsedict)
-
+    responsedict["action_result"] = "Action result is the next user dialogue."
+    @info "YiemAgent generatechat!() end " @__LINE__
     return (thoughtdict=responsedict, result_raw=responsedict["action_input"])
   end
+  @info "YiemAgent generatechat() failed to generate a thought " @__LINE__
   error("YiemAgent generatechat() failed to generate a thought ", response)
 end
 

src/type.jl

@@ -16,83 +16,18 @@ mutable struct agentcontext
   insertSQLVectorDB::Function
   similarSommelierDecision::Function
   insertSommelierDecision::Function
+  find_related_tables_for_user_question::Function
+  pg_conn_str::String
+  agentconfig::AbstractDict
 end
 
 abstract type agent end
 
-mutable struct companion <: agent
-  name::String  # agent name
-  id::String    # agent id
-  systemmsg::String # system message
-  tools::Dict  # tools
-  maxHistoryMsg::Integer  # e.g. 21th and earlier messages will get summarized
-  chathistory::Vector{Dict{String, Any}}
-  memory::Dict{String, Any}
-  context::NamedTuple  # NamedTuple of functions 
-  llmFormatName::String
-end
-
-function companion(
-  context::agentcontext  # NamedTuple of functions
-  ;
-  name::String= "Assistant",
-  id::String= GeneralUtils.uuid4snakecase(), 
-  maxHistoryMsg::Integer= 20,
-  chathistory::Vector{Dict{String, String}} = Vector{Dict{String, String}}(),
-  llmFormatName::String= "granite3",
-  systemmsg::String=
-    """
-      Your name: $name
-      Your sex: Female
-      Your role: You are a helpful assistant.
-      You should follow the following guidelines:
-      - Focus on the latest conversation.
-      - Your like to be short and concise.
-
-      Let's begin!
-      """,
-  )
-
-  tools = Dict( # update input format
-      "CHAT_BOX"=> Dict(
-        "description" => "- CHAT_BOX which you can use to talk with the user. The input is your intentions for the dialogue. Be specific.",
-      ),
-    )
-
-  """ Memory
-    Ref: Chat prompt format https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/discussions/3
-    NO "system" message in chathistory because I want to add it at the inference time
-    chathistory= [
-      Dict("name"=>"user", "text"=> "Wassup!", "timestamp"=> Dates.now()),
-      Dict("name"=>"assistant", "text"=> "Hi I'm your assistant.", "timestamp"=> Dates.now()),
-    ]
-  """
-  memory = Dict{String, Any}(
-            "events"=> Vector{Dict{String, Any}}(),
-            "state"=> Dict{String, Any}(), # state of the agent
-            "recap"=> OrderedDict{String, Any}(),  # recap summary of the conversation
-          )
-
-  newAgent = companion(
-    name,
-    id,
-    systemmsg,
-    tools,
-    maxHistoryMsg,
-    chathistory,
-    memory,
-    context,
-    llmFormatName
-    )
-  
-  return newAgent
-end
-
-
 mutable struct sommelier <: agent
   name::String  # agent name
   id::String    # agent id
   retailername::String
+  retailerid::String
   tools::Dict   
   maxHistoryMsg::Integer  # e.g. 21th and earlier messages will get summarized
   chathistory::Vector{Dict{String, Any}}
@@ -140,11 +75,12 @@ julia> agent = sommelier(context, name="WineExpert", id="123", retailername="MyW
 ```
 """
 function sommelier(
-  context::agentcontext,  # app context
+  context::agentcontext,  # agent functions, db connect and other context
   ;
   name::String= "Assistant",
   id::String= string(uuid4()),
-  retailername::String= "retailer_name",
+  retailername::String= "not specified",
+  retailerid::String= "not specified",
   maxHistoryMsg::Integer= 20,
   chathistory::Vector{Dict{String, Any}} = Vector{Dict{String, Any}}(),
   llmFormatName::String= "granite3"
@@ -205,17 +141,14 @@ function sommelier(
   memory = Dict{String, Any}(
             "shortmem"=> OrderedDict{String, Any}(),
             "scratchpad"=> "",
-            "events"=> Vector{Dict{String, Any}}(),
-            "state"=> Dict{String, Any}(
-            ),
             "recap"=> OrderedDict{String, Any}(),
-            
           )
 
   newAgent = sommelier(
     name,
     id,
     retailername,
+    retailerid,
     tools,
     maxHistoryMsg,
     chathistory,
@@ -246,6 +179,7 @@ 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.
+      - User usually ask for something similar. This means you should use the search term based on the profile they like.
 
     # situation
       You are having conversation with a customer.
@@ -272,17 +206,17 @@ function sommelier(
       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 only respond in JSON format as described below (not Markdown format)
+    # you should only respond in YAML format as described below
-      "plan": "...",
+      plan: "..."
-      "action_name": "...",
+      action_name: "..."
-      "action_input": "..."
+      action_input: "..."
 
     # 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.
+      "SEARCH_WINE_DATABASE", allows you to search information about wines you want in your inventory's database. The input is strictly supported search term including: retailer_name, wine price, winery, name, vintage, region, country, type of wine, 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 1: "Dry, full-bodied red wine from Burgundy, France. Grape varietal could be 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
+        Example query 3: "white wine from Tuscany, Italy or Bordeaux, 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.
     """

src/util.jl

@@ -297,7 +297,7 @@ function createTimeline(events::T1; eventindex::Union{UnitRange, Nothing}=nothin
     #   timeline *= "Event_$i $(event["subject"])> action_name: $(event["action_name"]), action_input: $(event["action_input"])\n"
     # elseif event["action_name"] == "CHECKINVENTORY" && event["observation"] === nothing
     #   timeline *= "Event_$i $(event["subject"])> action_name: $(event["action_name"]), action_input: $(event["action_input"]), observation: Not done yet.\n"
-    if event["action_name"] == "CHECK_WINE"
+    if event["action_name"] == "SEARCH_WINE_DATABASE"
       timeline *= "Event_$i $(event["subject"])> action_name: $(event["action_name"]), action_input: $(event["action_input"]), observation: $(event["observation"])\\n"
     else
       timeline *= "Event_$i $(event["subject"])> action_name: $(event["action_name"]), action_input: $(event["action_input"])\\n"

test/runtests.jl

@@ -128,7 +128,7 @@ systemmsg =
 
   # 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.
+  - **SEARCH_WINE_DATABASE** 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
@@ -157,7 +157,7 @@ openai_msg = Dict(
       "content" => [
         Dict("type" => "text", "text" => 
         """
-        " <plan>I will greet the customer warmly as Janie, acknowledge their request to find a similar wine for their wedding party based on the image, identify the wine type and country (Italian Sparkling Wine), and then use the CHECK_WINE action to search the inventory for suitable options.</plan>\n <action_name>CHAT_BOX</action_name>\n <action_input>Hello! I'm Janie, and I'd be delighted to help you find the perfect wine for your wedding party. That beautiful wine in the image appears to be an Italian sparkling wine, which is wonderful for a celebration like a wedding! Since you have an unlimited budget, I can certainly look for some truly exceptional options. To start, I will check our inventory for similar Italian sparkling wines that are perfect for a wedding celebration.</action_input><action_result> User response in the next message </action_result>"
+        " <plan>I will greet the customer warmly as Janie, acknowledge their request to find a similar wine for their wedding party based on the image, identify the wine type and country (Italian Sparkling Wine), and then use the SEARCH_WINE_DATABASE action to search the inventory for suitable options.</plan>\n <action_name>CHAT_BOX</action_name>\n <action_input>Hello! I'm Janie, and I'd be delighted to help you find the perfect wine for your wedding party. That beautiful wine in the image appears to be an Italian sparkling wine, which is wonderful for a celebration like a wedding! Since you have an unlimited budget, I can certainly look for some truly exceptional options. To start, I will check our inventory for similar Italian sparkling wines that are perfect for a wedding celebration.</action_input><action_result> User response in the next message </action_result>"
         """
         ),
       ]