diff --git a/previousVersion/0.0.3/CondaPkg.toml b/previousVersion/0.0.3/CondaPkg.toml
new file mode 100755
index 0000000..f61a833
--- /dev/null
+++ b/previousVersion/0.0.3/CondaPkg.toml
@@ -0,0 +1,7 @@
+channels = ["anaconda", "conda-forge", "pytorch"]
+
+[deps]
+python = ">=3.8,<3.11"
+
+[pip.deps]
+langchain = ""
diff --git a/previousVersion/0.0.3/Manifest.toml b/previousVersion/0.0.3/Manifest.toml
new file mode 100755
index 0000000..95a427f
--- /dev/null
+++ b/previousVersion/0.0.3/Manifest.toml
@@ -0,0 +1,1157 @@
+# This file is machine-generated - editing it directly is not advised
+
+julia_version = "1.9.4"
+manifest_format = "2.0"
+project_hash = "b23a59551d194bc84b0faf94c230717f9d7b23c8"
+
+[[deps.AbstractFFTs]]
+deps = ["LinearAlgebra"]
+git-tree-sha1 = "d92ad398961a3ed262d8bf04a1a2b8340f915fef"
+uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
+version = "1.5.0"
+weakdeps = ["ChainRulesCore", "Test"]
+
+    [deps.AbstractFFTs.extensions]
+    AbstractFFTsChainRulesCoreExt = "ChainRulesCore"
+    AbstractFFTsTestExt = "Test"
+
+[[deps.Adapt]]
+deps = ["LinearAlgebra", "Requires"]
+git-tree-sha1 = "02f731463748db57cc2ebfbd9fbc9ce8280d3433"
+uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
+version = "3.7.1"
+weakdeps = ["StaticArrays"]
+
+    [deps.Adapt.extensions]
+    AdaptStaticArraysExt = "StaticArrays"
+
+[[deps.ArgCheck]]
+git-tree-sha1 = "a3a402a35a2f7e0b87828ccabbd5ebfbebe356b4"
+uuid = "dce04be8-c92d-5529-be00-80e4d2c0e197"
+version = "2.3.0"
+
+[[deps.ArgTools]]
+uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
+version = "1.1.1"
+
+[[deps.Artifacts]]
+uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
+
+[[deps.Atomix]]
+deps = ["UnsafeAtomics"]
+git-tree-sha1 = "c06a868224ecba914baa6942988e2f2aade419be"
+uuid = "a9b6321e-bd34-4604-b9c9-b65b8de01458"
+version = "0.1.0"
+
+[[deps.BFloat16s]]
+deps = ["LinearAlgebra", "Printf", "Random", "Test"]
+git-tree-sha1 = "dbf84058d0a8cbbadee18d25cf606934b22d7c66"
+uuid = "ab4f0b2a-ad5b-11e8-123f-65d77653426b"
+version = "0.4.2"
+
+[[deps.BangBang]]
+deps = ["Compat", "ConstructionBase", "InitialValues", "LinearAlgebra", "Requires", "Setfield", "Tables"]
+git-tree-sha1 = "e28912ce94077686443433c2800104b061a827ed"
+uuid = "198e06fe-97b7-11e9-32a5-e1d131e6ad66"
+version = "0.3.39"
+
+    [deps.BangBang.extensions]
+    BangBangChainRulesCoreExt = "ChainRulesCore"
+    BangBangDataFramesExt = "DataFrames"
+    BangBangStaticArraysExt = "StaticArrays"
+    BangBangStructArraysExt = "StructArrays"
+    BangBangTypedTablesExt = "TypedTables"
+
+    [deps.BangBang.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+    StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
+    StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
+    TypedTables = "9d95f2ec-7b3d-5a63-8d20-e2491e220bb9"
+
+[[deps.Base64]]
+uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
+
+[[deps.Baselet]]
+git-tree-sha1 = "aebf55e6d7795e02ca500a689d326ac979aaf89e"
+uuid = "9718e550-a3fa-408a-8086-8db961cd8217"
+version = "0.1.1"
+
+[[deps.BitFlags]]
+git-tree-sha1 = "2dc09997850d68179b69dafb58ae806167a32b1b"
+uuid = "d1d4a3ce-64b1-5f1a-9ba4-7e7e69966f35"
+version = "0.1.8"
+
+[[deps.CEnum]]
+git-tree-sha1 = "eb4cb44a499229b3b8426dcfb5dd85333951ff90"
+uuid = "fa961155-64e5-5f13-b03f-caf6b980ea82"
+version = "0.4.2"
+
+[[deps.CUDA]]
+deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CUDA_Driver_jll", "CUDA_Runtime_Discovery", "CUDA_Runtime_jll", "Crayons", "DataFrames", "ExprTools", "GPUArrays", "GPUCompiler", "KernelAbstractions", "LLVM", "LLVMLoopInfo", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "NVTX", "Preferences", "PrettyTables", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "Statistics", "UnsafeAtomicsLLVM"]
+git-tree-sha1 = "64461b0e9df3069248979113ce8ab6d11bd371cf"
+uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
+version = "5.1.0"
+weakdeps = ["ChainRulesCore", "SpecialFunctions"]
+
+    [deps.CUDA.extensions]
+    ChainRulesCoreExt = "ChainRulesCore"
+    SpecialFunctionsExt = "SpecialFunctions"
+
+[[deps.CUDA_Driver_jll]]
+deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl", "Pkg"]
+git-tree-sha1 = "1e42ef1bdb45487ff28de16182c0df4920181dc3"
+uuid = "4ee394cb-3365-5eb0-8335-949819d2adfc"
+version = "0.7.0+0"
+
+[[deps.CUDA_Runtime_Discovery]]
+deps = ["Libdl"]
+git-tree-sha1 = "bcc4a23cbbd99c8535a5318455dcf0f2546ec536"
+uuid = "1af6417a-86b4-443c-805f-a4643ffb695f"
+version = "0.2.2"
+
+[[deps.CUDA_Runtime_jll]]
+deps = ["Artifacts", "CUDA_Driver_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
+git-tree-sha1 = "92394521ec4582c11d089a3b15b76ef2cb850994"
+uuid = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
+version = "0.10.0+1"
+
+[[deps.Calculus]]
+deps = ["LinearAlgebra"]
+git-tree-sha1 = "f641eb0a4f00c343bbc32346e1217b86f3ce9dad"
+uuid = "49dc2e85-a5d0-5ad3-a950-438e2897f1b9"
+version = "0.5.1"
+
+[[deps.ChainRules]]
+deps = ["Adapt", "ChainRulesCore", "Compat", "Distributed", "GPUArraysCore", "IrrationalConstants", "LinearAlgebra", "Random", "RealDot", "SparseArrays", "SparseInverseSubset", "Statistics", "StructArrays", "SuiteSparse"]
+git-tree-sha1 = "006cc7170be3e0fa02ccac6d4164a1eee1fc8c27"
+uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2"
+version = "1.58.0"
+
+[[deps.ChainRulesCore]]
+deps = ["Compat", "LinearAlgebra"]
+git-tree-sha1 = "e0af648f0692ec1691b5d094b8724ba1346281cf"
+uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+version = "1.18.0"
+weakdeps = ["SparseArrays"]
+
+    [deps.ChainRulesCore.extensions]
+    ChainRulesCoreSparseArraysExt = "SparseArrays"
+
+[[deps.CodecZlib]]
+deps = ["TranscodingStreams", "Zlib_jll"]
+git-tree-sha1 = "cd67fc487743b2f0fd4380d4cbd3a24660d0eec8"
+uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
+version = "0.7.3"
+
+[[deps.ColorTypes]]
+deps = ["FixedPointNumbers", "Random"]
+git-tree-sha1 = "eb7f0f8307f71fac7c606984ea5fb2817275d6e4"
+uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
+version = "0.11.4"
+
+[[deps.Colors]]
+deps = ["ColorTypes", "FixedPointNumbers", "Reexport"]
+git-tree-sha1 = "fc08e5930ee9a4e03f84bfb5211cb54e7769758a"
+uuid = "5ae59095-9a9b-59fe-a467-6f913c188581"
+version = "0.12.10"
+
+[[deps.CommUtils]]
+deps = ["Dates", "JSON3", "Mosquitto", "Redis", "UUIDs"]
+path = "/privatejuliapkg/CommUtils"
+uuid = "646cbe82-3d4a-47b2-9440-2e80a472ca20"
+version = "0.1.0"
+
+[[deps.CommonSubexpressions]]
+deps = ["MacroTools", "Test"]
+git-tree-sha1 = "7b8a93dba8af7e3b42fecabf646260105ac373f7"
+uuid = "bbf7d656-a473-5ed7-a52c-81e309532950"
+version = "0.3.0"
+
+[[deps.Compat]]
+deps = ["UUIDs"]
+git-tree-sha1 = "8a62af3e248a8c4bad6b32cbbe663ae02275e32c"
+uuid = "34da2185-b29b-5c13-b0c7-acf172513d20"
+version = "4.10.0"
+weakdeps = ["Dates", "LinearAlgebra"]
+
+    [deps.Compat.extensions]
+    CompatLinearAlgebraExt = "LinearAlgebra"
+
+[[deps.CompilerSupportLibraries_jll]]
+deps = ["Artifacts", "Libdl"]
+uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
+version = "1.0.5+0"
+
+[[deps.CompositionsBase]]
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+uuid = "a33af91c-f02d-484b-be07-31d278c5ca2b"
+version = "0.1.2"
+
+    [deps.CompositionsBase.extensions]
+    CompositionsBaseInverseFunctionsExt = "InverseFunctions"
+
+    [deps.CompositionsBase.weakdeps]
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
+
+[[deps.ConcurrentUtilities]]
+deps = ["Serialization", "Sockets"]
+git-tree-sha1 = "8cfa272e8bdedfa88b6aefbbca7c19f1befac519"
+uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb"
+version = "2.3.0"
+
+[[deps.CondaPkg]]
+deps = ["JSON3", "Markdown", "MicroMamba", "Pidfile", "Pkg", "Preferences", "TOML"]
+git-tree-sha1 = "bbd0c518cb11acc6707190199025dbc34b6c7ca7"
+uuid = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
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+
+[[deps.ConstructionBase]]
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+git-tree-sha1 = "c53fc348ca4d40d7b371e71fd52251839080cbc9"
+uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
+version = "1.5.4"
+
+    [deps.ConstructionBase.extensions]
+    ConstructionBaseIntervalSetsExt = "IntervalSets"
+    ConstructionBaseStaticArraysExt = "StaticArrays"
+
+    [deps.ConstructionBase.weakdeps]
+    IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
+    StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
+
+[[deps.ContextVariablesX]]
+deps = ["Compat", "Logging", "UUIDs"]
+git-tree-sha1 = "25cc3803f1030ab855e383129dcd3dc294e322cc"
+uuid = "6add18c4-b38d-439d-96f6-d6bc489c04c5"
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+
+[[deps.Crayons]]
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+
+[[deps.DataAPI]]
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+uuid = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a"
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+
+[[deps.DataFrames]]
+deps = ["Compat", "DataAPI", "DataStructures", "Future", "InlineStrings", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrecompileTools", "PrettyTables", "Printf", "REPL", "Random", "Reexport", "SentinelArrays", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"]
+git-tree-sha1 = "04c738083f29f86e62c8afc341f0967d8717bdb8"
+uuid = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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+
+[[deps.DataStructures]]
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+[[deps.DataValueInterfaces]]
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+[[deps.Dates]]
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+[[deps.DefineSingletons]]
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+[[deps.DelimitedFiles]]
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+[[deps.DiffResults]]
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+uuid = "163ba53b-c6d8-5494-b064-1a9d43ac40c5"
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+[[deps.DiffRules]]
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+[[deps.Distributed]]
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+uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+
+[[deps.Distributions]]
+deps = ["FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SpecialFunctions", "Statistics", "StatsAPI", "StatsBase", "StatsFuns"]
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+uuid = "31c24e10-a181-5473-b8eb-7969acd0382f"
+version = "0.25.103"
+
+    [deps.Distributions.extensions]
+    DistributionsChainRulesCoreExt = "ChainRulesCore"
+    DistributionsDensityInterfaceExt = "DensityInterface"
+    DistributionsTestExt = "Test"
+
+    [deps.Distributions.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    DensityInterface = "b429d917-457f-4dbc-8f4c-0cc954292b1d"
+    Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[[deps.DocStringExtensions]]
+deps = ["LibGit2"]
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+[[deps.Downloads]]
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+
+[[deps.DualNumbers]]
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+[[deps.ExceptionUnwrapping]]
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+[[deps.ExprTools]]
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+[[deps.FLoops]]
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+[[deps.FileWatching]]
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+
+    [deps.FillArrays.extensions]
+    FillArraysSparseArraysExt = "SparseArrays"
+    FillArraysStatisticsExt = "Statistics"
+
+[[deps.FixedPointNumbers]]
+deps = ["Statistics"]
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+[[deps.Flux]]
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+git-tree-sha1 = "b97c3fc4f3628b8835d83789b09382961a254da4"
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+
+    [deps.Flux.extensions]
+    FluxAMDGPUExt = "AMDGPU"
+    FluxCUDAExt = "CUDA"
+    FluxCUDAcuDNNExt = ["CUDA", "cuDNN"]
+    FluxMetalExt = "Metal"
+
+    [deps.Flux.weakdeps]
+    AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
+    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+    Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
+    cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
+
+[[deps.ForwardDiff]]
+deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "LinearAlgebra", "LogExpFunctions", "NaNMath", "Preferences", "Printf", "Random", "SpecialFunctions"]
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+version = "0.10.36"
+weakdeps = ["StaticArrays"]
+
+    [deps.ForwardDiff.extensions]
+    ForwardDiffStaticArraysExt = "StaticArrays"
+
+[[deps.Functors]]
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+[[deps.Future]]
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+
+[[deps.GPUArrays]]
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+[[deps.GPUArraysCore]]
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+[[deps.GPUCompiler]]
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+[[deps.GeneralUtils]]
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+path = "/privatejuliapkg/GeneralUtils/"
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+    [deps.StatsFuns.extensions]
+    StatsFunsChainRulesCoreExt = "ChainRulesCore"
+    StatsFunsInverseFunctionsExt = "InverseFunctions"
+
+    [deps.StatsFuns.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
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+
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+[[deps.SuiteSparse]]
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+
+[[deps.SuiteSparse_jll]]
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+
+[[deps.TOML]]
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+[[deps.Tables]]
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+
+[[deps.TimerOutputs]]
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+
+    [deps.TranscodingStreams.extensions]
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+
+[[deps.Transducers]]
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+    TransducersReferenceablesExt = "Referenceables"
+
+    [deps.Transducers.weakdeps]
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+
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+
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diff --git a/previousVersion/0.0.3/Project.toml b/previousVersion/0.0.3/Project.toml
new file mode 100755
index 0000000..7e70563
--- /dev/null
+++ b/previousVersion/0.0.3/Project.toml
@@ -0,0 +1,15 @@
+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"
+UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
diff --git a/previousVersion/0.0.3/src/ChatAgent.jl b/previousVersion/0.0.3/src/ChatAgent.jl
new file mode 100755
index 0000000..bcc89f3
--- /dev/null
+++ b/previousVersion/0.0.3/src/ChatAgent.jl
@@ -0,0 +1,92 @@
+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("interface.jl")
+  using .interface
+  
+  
+  #------------------------------------------------------------------------------------------------100
+  
+  """ version 0.0.1
+      Todo:
+          [] add chat mechanism
+  
+      Change from version: 0.0.0
+          - 
+  
+  """
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+end # module ChatAgent
diff --git a/previousVersion/0.0.3/src/interface.jl b/previousVersion/0.0.3/src/interface.jl
new file mode 100755
index 0000000..88a35e0
--- /dev/null
+++ b/previousVersion/0.0.3/src/interface.jl
@@ -0,0 +1,989 @@
+module interface
+    
+
+export agentReact, addNewMessage, clearMessage, removeLatestMsg, generatePrompt_tokenPrefix,
+        generatePrompt_tokenSuffix, conversation, work, detectCharacters, chunktext,
+        findDetectedCharacter, wikisearch
+
+using JSON3, DataStructures, Dates, UUIDs, HTTP
+using CommUtils, GeneralUtils
+
+# ---------------------------------------------------------------------------- #
+#                              pythoncall setting                              #
+# ---------------------------------------------------------------------------- #
+# Ref: https://github.com/JuliaPy/PythonCall.jl/issues/252
+# by setting the following variables, PythonCall will use system python or conda python and 
+# packages installed by system or conda
+# if these setting are not set (comment out), PythonCall will use its own python and package that
+# installed by CondaPkg (from env_preparation.jl)
+# ENV["JULIA_CONDAPKG_BACKEND"] = "Null"
+# systemPython = split(read(`which python`, String), "\n")[1]
+# ENV["JULIA_PYTHONCALL_EXE"] = systemPython # find python location with $> which python  ex. raw"/root/conda/bin/python"
+
+# using PythonCall
+# const py_agents = PythonCall.pynew()
+# const py_llms = PythonCall.pynew()
+# function __init__()
+#     # PythonCall.pycopy!(py_cv2, pyimport("cv2"))
+
+#     # equivalent to     from urllib.request import urlopen    in python
+#     PythonCall.pycopy!(py_agents, pyimport("langchain.agents"))
+#     PythonCall.pycopy!(py_llms, pyimport("langchain.llms"))
+# end
+
+#------------------------------------------------------------------------------------------------100
+
+abstract type agent end
+
+@kwdef mutable struct agentReact <: agent
+  availableRole::AbstractVector = ["system", "user", "assistant"]
+  agentName::String = "assistant"
+  maxUserMsg::Int = 10
+  earlierConversation::String = ""  # 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}}()
+  context::String = "nothing" # internal thinking area
+  tools::Union{Dict, Nothing} = nothing 
+  thought::String = "nothing"  # contain unfinished thoughts for ReAct agent only
+  thoughtround::Int = 0 # no. of thinking round
+  thoughtlimit::Int = 5 # thinking round limit
+  thinkingMode::Union{Dict, Nothing} = nothing
+end
+
+function agentReact(
+  agentName::String,
+  mqttClientSpec::NamedTuple;
+  role::Symbol=:assistant,
+  roles::Dict=Dict(
+    :assistant => 
+      """
+      You are a helpful assistant who answer the user's questions as best you can.
+      """,
+    :sommelier => 
+      """
+        You are a sommelier at an online wine reseller who always ask user for wine relevant info before you could help them choosing wine.
+        You provide a personalized recommendation of up to two wines based on the user's preference, and you describe the benefits of each wine in detail.
+        You don't know other people personal info previously.
+        
+        Info used to select wine:
+        - type of food
+        - occasion
+        - user's personal taste of wine
+        - wine price range
+        - temperature at the serving location
+        - wine we have in stock
+      """,
+  ),
+  thinkingMode::Dict=Dict(
+    :no_thinking=> "",
+    :thinking=> 
+      """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!""",
+  ),
+  tools::Dict=Dict(
+    :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
+    ),
+    :chatbox=>Dict(
+      :name => "chatbox",
+      :description => "Useful for when you need to ask a customer for more context.",
+      :input => "Input should be a conversation to customer.",
+      :output => "" ,
+      :func => nothing,
+    ),
+    # :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=> "chatbothub/llm/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 = agentReact()
+  newAgent.availableRole = availableRole
+  newAgent.maxUserMsg = maxUserMsg
+  newAgent.mqttClient = CommUtils.mqttClient(mqttClientSpec)
+  newAgent.msgMeta = msgMeta
+  newAgent.tools = tools
+  newAgent.role = role
+  newAgent.roles = roles
+  newAgent.thinkingMode = thinkingMode
+
+  return newAgent
+end
+
+
+""" 
+  add new message to agent
+# Example
+```jldoctest
+julia> addNewMessage(agent1, "user", "Where should I go to buy snacks")
+````
+"""
+function addNewMessage(a::T1, role::String, content::T2) where {T1<:agent, T2<:AbstractString}
+  if role ∉ a.availableRole   # guard against typo
+    error("role is not in agent.availableRole")
+  end
+
+  # check whether user messages exceed limit
+  userMsg = 0
+  for i in a.messages
+    if i[:role] == "user"
+      userMsg += 1
+    end
+  end
+  messageleft = 0
+
+  if userMsg > a.maxUserMsg # delete all conversation
+    clearMessage(a)
+    messageleft = a.maxUserMsg
+  else
+    userMsg += 1
+    d = Dict(:role=> role, :content=> content, :timestamp=> Dates.now())
+    push!(a.messages, d)
+    messageleft = a.maxUserMsg - userMsg
+  end
+
+  return messageleft
+end
+
+function clearMessage(a::T)  where {T<:agent}
+  for i in eachindex(a.messages)
+    if length(a.messages) > 1 # system instruction will NOT be deleted
+      pop!(a.messages)
+    else
+      break
+    end
+  end
+  a.thought = "nothing"
+  a.context = "nothing"
+end
+
+function removeLatestMsg(a::T)  where {T<:agent}
+  if length(a.messages) > 1
+    pop!(a.messages)
+  end
+end
+
+# function generatePrompt_mistral_openorca(a::T, usermsg::String, role::Symbol) where {T<:agent}
+#   prompt = 
+#   """
+#     <|im_start|>system
+#     {systemMsg}
+#     <|im_end|>
+#     Here are the context for the question:
+#     {context}
+#   """
+#   prompt = replace(prompt, "{systemMsg}" => a.roles[role])
+  
+#   toolnames = ""
+#   toollines = ""
+#   for (toolname, v) in a.tools
+#     toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
+#     toollines *= toolline
+#     toolnames *= "$toolname,"
+#   end
+#   prompt = replace(prompt, "{toolnames}" => toolnames)
+#   prompt = replace(prompt, "{tools}" => toollines)
+
+#   prompt = replace(prompt, "{context}" => a.context)
+
+#   prompt *= "<|im_start|>user\n" * usermsg * "\n<|im_end|>\n"
+#   prompt *= "<|im_start|>assistant\n"
+
+#   return prompt
+# end
+
+# function generatePrompt_mistral_openorca(a::T, usermsg::String,
+#           thinkingMode::Symbol=:nothinking) where {T<:agent}
+
+#   prompt = 
+#   """
+#     <|im_start|>system
+#     {systemMsg}
+#     You have access to the following tools:
+#     {tools}
+#     {thinkingMode}
+#     <|im_end|>
+#     Here are the context for the question:
+#     {context}
+#   """
+#   prompt = replace(prompt, "{systemMsg}" => a.roles[a.role])
+#   prompt = replace(prompt, "{thinkingMode}" => a.thinkingMode[thinkingMode])
+#   toolnames = ""
+#   toollines = ""
+#   for (toolname, v) in a.tools
+#     toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
+#     toollines *= toolline
+#     toolnames *= "$toolname,"
+#   end
+#   prompt = replace(prompt, "{toolnames}" => toolnames)
+#   prompt = replace(prompt, "{tools}" => toollines)
+
+#   prompt = replace(prompt, "{context}" => a.context)
+
+#   prompt *= "<|im_start|>user\nQuestion: " * usermsg * "\n<|im_end|>\n"
+#   prompt *= "<|im_start|>assistant\n"
+  
+#   return prompt
+# end
+
+
+function generatePrompt_mistral_openorca(a::T, usermsg::String,
+          thinkingMode::Symbol=:nothinking) where {T<:agent}
+
+  prompt = 
+  """
+    <|im_start|>system
+    {systemMsg}
+    {tools}
+    {thinkingMode}
+    <|im_end|>
+    Here are the context for the question:
+    {context}
+  """
+  prompt = replace(prompt, "{systemMsg}" => a.roles[a.role])
+  prompt = replace(prompt, "{thinkingMode}" => a.thinkingMode[thinkingMode])
+  toolnames = ""
+  toollines = ""
+  for (toolname, v) in a.tools
+    toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
+    toollines *= toolline
+    toolnames *= "$toolname,"
+  end
+  prompt = replace(prompt, "{toolnames}" => toolnames)
+  if thinkingMode ∈ [:react]
+    prompt = replace(prompt, "{tools}" => "You have access to the following tools:\n$toollines")
+  end
+
+  prompt = replace(prompt, "{context}" => a.context)
+
+  prompt *= "<|im_start|>user\nQuestion: " * usermsg * "\n<|im_end|>\n"
+  prompt *= "<|im_start|>assistant\n"
+  
+  return prompt
+end
+
+"""
+  Chat with llm.
+  
+  ```jldoctest
+  julia> using JSON3, UUIDs, Dates, FileIO, CommUtils, ChatAgent
+  julia> mqttClientSpec = (
+                            clientName= "someclient",   # name of this client
+                            clientID= "$(uuid4())",
+                            broker= "mqtt.yiem.ai", 
+                            pubtopic= (imgAI="img/api/v0.0.1/gpu/request",
+                                      txtAI="txt/api/v0.1.0/gpu/request"),
+                            subtopic= (imgAI="agent/api/v0.1.0/img/respond",
+                                      txtAI="agent/api/v0.1.0/txt/respond"),
+                            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> newAgent = ChatAgent.agentReact(
+                                        "Jene",
+                                        mqttClientSpec, 
+                                        role=:assistant_react,
+                                        msgMeta=msgMeta
+                                        )
+  julia> respond = ChatAgent.conversation(newAgent, "Hi! how are you?")
+  ```
+"""
+function conversation(a::T, usermsg::String) where {T<:agent}
+  respond = nothing
+
+  if a.thought != "nothing" # continue thought
+    _ = addNewMessage(a, "user", usermsg)
+    a.thought *= "Obs $(a.thoughtround): $usermsg\n"
+    prompt = a.thought
+    respond = work(a, prompt)
+  else  # new thought
+    thinkingmode = chooseThinkingMode(a, usermsg)
+    @show thinkingmode
+    if thinkingmode == :no_thinking 
+      a.context = conversationSummary(a)  #TODO should be long conversation before use summary because it leaves out details
+      _ = addNewMessage(a, "user", usermsg)
+      prompt = generatePrompt_mistral_openorca(a, usermsg, thinkingmode)
+      @show prompt
+      respond = sendReceivePrompt(a, prompt)
+      respond = split(respond, "<|im_end|>")[1]
+      respond = replace(respond, "\n" => "")
+      _ = addNewMessage(a, "assistant", respond)
+      @show respond
+    elseif thinkingmode == :thinking
+      a.context = conversationSummary(a)
+      _ = addNewMessage(a, "user", usermsg)
+      prompt = generatePrompt_mistral_openorca(a, usermsg, thinkingmode)
+      respond = work(a, prompt)
+    else
+      error("undefined condition thinkingmode = $thinkingmode")
+    end
+  end
+
+  return respond
+end
+
+"""
+  Continuously run llm functions except when llm is getting Answer: or chatbox.
+  There are many work() depend on thinking mode.
+"""
+function work(a::T, prompt::String, maxround::Int=3) where {T<:agent}
+  respond = nothing
+  while true
+    a.thoughtround += 1
+    @show a.thoughtround
+    toolname = nothing
+    toolinput = nothing
+
+    if a.thoughtround > a.thoughtlimit
+      a.thought *= "Thought $(a.thoughtround): I think I know the answer."
+      prompt = a.thought
+    end
+    @show prompt
+    respond = sendReceivePrompt(a, prompt)
+
+    headerToDetect = nothing
+    if a.thoughtround == 1
+      try 
+        respond = split(respond, "Obs:")[1]  
+        headerToDetect = ["Question:", "Plan:", "Thought:", "Act:", "ActInput:", "Obs:", "...", "Answer:", 
+                        "Conclusion:", "Summary:"]
+      catch 
+      end
+    else
+      try 
+        respond = split(respond, "Obs $(a.thoughtround):")[1]  
+        headerToDetect = ["Question $(a.thoughtround):", "Plan $(a.thoughtround):", 
+                        "Thought $(a.thoughtround):", "Act $(a.thoughtround):", 
+                        "ActInput $(a.thoughtround):", "Obs $(a.thoughtround):", 
+                        "...", "Answer:", 
+                        "Conclusion:", "Summary:"]
+      catch 
+      end
+    end
+    @show respond
+    headers = detectCharacters(respond, headerToDetect)
+    chunkedtext = chunktext(respond, headers)
+
+    Answer = findDetectedCharacter(headers, "Answer:")
+    AnswerInd = length(Answer) != 0 ? Answer[1] : nothing
+    Act = findDetectedCharacter(headers, "Act $(a.thoughtround):")
+    if length(Answer) == 1 && length(Act) == 0
+      a.thought = "nothing" # question finished, no more thought
+      a.context = "nothing"
+      a.thoughtround = 0
+      respond = chunkedtext[AnswerInd][:body]
+      respond = replace(respond, "<|im_end|>"=>"")
+      _ = addNewMessage(a, "assistant", respond)
+      break
+    else
+
+      # check for tool being called
+      ActHeader = a.thoughtround == 1 ? "Act:" : "Act $(a.thoughtround):"
+      if length(findDetectedCharacter(headers, ActHeader)) != 0 # check whether there is Act: in a respond
+        ActInd = findDetectedCharacter(headers, ActHeader)[1]
+        toolname = toolNameBeingCalled(chunkedtext[ActInd][:body], a.tools)
+      end
+      ActInputHeader = a.thoughtround == 1 ? "ActInput:" : "ActInput $(a.thoughtround):"
+      if length(findDetectedCharacter(headers, ActInputHeader)) != 0 # check whether there is ActInput: in a respond
+        ActInputInd = findDetectedCharacter(headers, ActInputHeader)[1]
+        toolinput = chunkedtext[ActInputInd][:body]
+      end
+      
+      # clean up
+      if occursin(" \"", toolinput)
+        toolinput = GeneralUtils.getStringBetweenCharacters(toolinput, " \"", "\"\n")
+      else
+        toolinput = GeneralUtils.getStringBetweenCharacters(toolinput, " ", "\n")
+      end
+      @show toolname 
+      @show toolinput
+      if toolname === nothing || toolinput === nothing
+        println("toolname $toolname toolinput $toolinput retry thinking")
+        a.thoughtround -= 1
+        continue
+      end
+
+      if a.thought == "nothing"
+        thought = ""
+        for i in chunkedtext
+          header = i[:header]
+          header = replace(header, ":"=>" $(a.thoughtround):") # add number so that llm not confused
+          body = i[:body]
+          thought *= "$header $body"
+        end
+        a.thought = prompt * thought
+      else
+        a.thought *= respond
+      end
+
+
+      if toolname == "chatbox"  # chat with user
+        a.thought *= toolinput
+        respond = toolinput
+        _ = addNewMessage(a, "assistant", respond)
+        break
+      else  # function call
+        f = a.tools[Symbol(toolname)][:func]
+        _result = f(toolinput)
+        if _result != "No info available."  #TODO for use with wikisearch(). Not good for other tools
+          _result = makeSummary(a, _result)
+        end
+        result = "Obs $(a.thoughtround): $_result\n"
+        a.thought *= result
+        prompt = a.thought
+      end
+    end
+  end
+  @show respond
+  return respond
+end
+
+"""
+  make a conversation summary.
+  ```jldoctest
+  julia> conversation = [
+            Dict(:role=> "user", :content=> "I would like to get a bottle of wine", :timestamp=> Dates.now()),
+            Dict(:role=> "assistant", :content=> "What kind of Thai dishes are you having?", :timestamp=> Dates.now()),
+            Dict(:role=> "user", :content=> "It a pad thai.", :timestamp=> Dates.now()),
+            Dict(:role=> "assistant", :content=> "Is there any special occasion for this event?", :timestamp=> Dates.now()),
+            Dict(:role=> "user", :content=> "We'll hold a wedding party at the beach.", :timestamp=> Dates.now()),
+            Dict(:role=> "assistant", :content=> "What is your preferred type of wine?", :timestamp=> Dates.now()),
+            Dict(:role=> "user", :content=> "I like dry white wine with medium tanins.", :timestamp=> Dates.now()),
+            Dict(:role=> "assistant", :content=> "What is your preferred price range for this bottle of wine?", :timestamp=> Dates.now()),
+            Dict(:role=> "user", :content=> "lower than 50 dollars.", :timestamp=> Dates.now()),
+            Dict(:role=> "assistant", :content=> "Based on your preferences and our stock, I recommend the following two wines for you:
+                            1. Pierre Girardin \"Murgers des Dents de Chien\" - Saint-Aubin 1er Cru (17 USD)
+                            2. Etienne Sauzet'Les Perrieres' - Puligny Montrachet Premier Cru (22 USD)
+                            The first wine, Pierre Girardin \"Murgers des Dents de Chien\" - Saint-Aubin 1er Cru, is a great choice for its affordable price and refreshing taste. 
+                            It pairs well with Thai dishes and will be perfect for your beach wedding party. 
+                            The second wine, Etienne Sauzet'Les Perrieres' - Puligny Montrachet Premier Cru, offers a more complex flavor profile and slightly higher price point, but still remains within your budget. 
+                            Both wines are suitable for serving at 22 C temperature.", :timestamp=> Dates.now()),
+          ]
+  
+  julia> summary = conversationSummary(conversation)
+  ```
+"""
+function conversationSummary(a::T) where {T<:agent}
+  prompt = 
+  """
+    <|im_start|>system
+    You talked with a user earlier.
+    Now you make a detailed bullet summary of the conversation from your perspective.
+
+    Here are the context:
+    {context}
+    Here are the conversation:
+    {conversation}
+    <|im_end|>
+
+  """
+  conversation = ""
+  summary = "nothing"
+  if length(a.messages)!= 0
+    for msg in a.messages
+      role = msg[:role]
+      content = msg[:content]
+
+      if role == "user"
+        conversation *= "$role: $content\n"
+      elseif role == "assistant"
+        conversation *= "I: $content\n"
+      else
+        error("undefied condition role = $role")
+      end
+    end
+    prompt = replace(prompt, "{conversation}" => conversation)
+    prompt = replace(prompt, "{context}" => a.context)
+    result = sendReceivePrompt(a, prompt)
+    summary = result === nothing ? "nothing" : result
+    summary = replace(summary, "<|im_end|>" => "")
+    if summary[1:1] == "\n"
+      summary = summary[2:end]
+    end
+  end
+
+  return summary
+end
+
+function makeSummary(a::T1, input::T2) where {T1<:agent, T2<:AbstractString}
+  summary = "Nothing."
+  prompt = 
+  """
+    <|im_start|>system
+    Your need to determine now whether you can make a summary of user's text.
+
+    You have the following choices:
+    If you cannot make a summary say, "{no}".
+    If you can make a summary say, "{yes}".
+    <|im_end|>
+
+    <|im_start|>user
+    {input}
+    <|im_end|>
+    <|im_start|>assistant
+  
+  """
+  prompt = replace(prompt, "{input}" => usermsg)
+  result = sendReceivePrompt(a, prompt)
+  result = GeneralUtils.getStringBetweenCharacters(result, "{", "}")
+  if result == "yes"
+    prompt = 
+    """
+      <|im_start|>system
+      You are a helpful assistant. 
+      Your job is to make a concise summary of user's text.
+      <|im_end|>
+
+      <|im_start|>user
+      {input}
+      <|im_end|>
+      <|im_start|>assistant
+    
+    """
+    prompt = replace(prompt, "{input}" => input)
+    result = sendReceivePrompt(a, prompt)
+    summary = replace(result, "<|im_end|>" => "")
+    if summary[1:1] == "\n"
+      summary = summary[2:end]
+    end
+  end
+
+  return summary
+end
+
+function chooseThinkingMode(a::T, usermsg::String) where {T<:agent}
+  prompt =
+  """
+  <|im_start|>system
+  {systemMsg}
+  You have access to the following tools:
+  {tools}
+  Your need to determine now whether you will use tools or actions to answer the question.
+
+  You have the following choices:
+  If you already know the answer or don't need tools or actions say, "{no}".
+  If you need tools or actions to answer the question say, "{yes}".
+  <|im_end|>
+
+  <|im_start|>user
+  {input}
+  <|im_end|>
+  <|im_start|>assistant
+
+  """
+  toollines = ""
+  for (toolname, v) in a.tools
+    if toolname ∉ ["chatbox", "nothing"]
+      toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
+      toollines *= toolline
+    end
+  end
+  prompt = replace(prompt, "{systemMsg}" => a.roles[a.role])
+  prompt = replace(prompt, "{tools}" => toollines)
+  prompt = replace(prompt, "{input}" => usermsg)
+  result = sendReceivePrompt(a, prompt)
+  willusetools = GeneralUtils.getStringBetweenCharacters(result, "{", "}")
+  thinkingMode = willusetools == "yes" ? :thinking : :no_thinking
+
+  return thinkingMode 
+end
+
+
+function identifyUserIntention(a::T, usermsg::String) where {T<:agent}
+  prompt = 
+  """
+    <|im_start|>system
+    You are a helpful assistant. Your job is to determine intention of the question.
+
+    You have the following choices:
+    If the user question is about general conversation say, "{chat}".
+    If the user question is about getting wine say, "{wine}".
+    <|im_end|>
+
+    Here are the context for the question:
+    {context}
+
+    <|im_start|>user
+    {input}
+    <|im_end|>
+    <|im_start|>assistant
+  
+  """
+  prompt = replace(prompt, "{context}" => "")
+  prompt = replace(prompt, "{input}" => usermsg)
+
+  result = sendReceivePrompt(a, prompt)
+  answer = result === nothing ? nothing : GeneralUtils.getStringBetweenCharacters(result, "{", "}")
+
+  return answer 
+end
+
+"""
+  Send a msg to registered mqtt topic within mqttClient.
+  
+  ```jldoctest
+  julia> using JSON3, UUIDs, Dates, FileIO, CommUtils, ChatAgent
+  julia> mqttClientSpec = (
+                            clientName= "someclient",   # name of this client
+                            clientID= "$(uuid4())",
+                            broker= "mqtt.yiem.ai", 
+                            pubtopic= (imgAI="img/api/v0.0.1/gpu/request",
+                                      txtAI="txt/api/v0.1.0/gpu/request"),
+                            subtopic= (imgAI="agent/api/v0.1.0/img/respond",
+                                      txtAI="agent/api/v0.1.0/txt/respond"),
+                            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=> "$(uuid4())",
+                      )
+  julia> newAgent = ChatAgent.agentReact(
+                                        "Jene",
+                                        mqttClientSpec, 
+                                        role=:assistant_react,
+                                        msgMeta=msgMeta
+                                        )
+  ```
+"""
+function sendReceivePrompt(a::T, prompt::String; timeout::Int=120) where {T<:agent}
+  a.msgMeta[:msgId] = "$(uuid4())"  # new msg id for each msg
+  msg = Dict(
+    :msgMeta=> a.msgMeta,
+    :txt=> prompt,
+  )
+  payloadChannel = Channel(1)
+
+  # send prompt
+  CommUtils.request(a.mqttClient, msg) 
+  starttime = Dates.now()
+  result = nothing
+
+  while true
+    timepass = (Dates.now() - starttime).value / 1000.0
+    CommUtils.mqttRun(a.mqttClient, payloadChannel)
+    if isready(payloadChannel)
+      topic, payload = take!(payloadChannel)
+      if payload[:msgMeta][:repondToMsgId] == msg[:msgMeta][:msgId]
+        result = haskey(payload, :txt) ? payload[:txt] : nothing
+        break
+      end
+    elseif timepass <= timeout
+      # skip, within waiting period 
+    elseif timepass > timeout
+      println("sendReceivePrompt timeout $timepass/$timeout")
+      result = nothing
+      break
+    else
+      error("undefined condition $(@__LINE__)")
+    end
+  end
+
+  return result
+end
+
+"""
+  Extract toolname from text.
+  ```jldoctest
+  julia> text = " internetsearch\n"
+  julia> tools = Dict(
+                  :internetsearch=>Dict(
+                    :name => "internetsearch",
+                    :description => "Useful for when you need to search the Internet",
+                    :input => "Input should be a search query.",
+                    :output => "",
+                    # :func => internetsearch   # function
+                  ),
+                  :chatbox=>Dict(
+                    :name => "chatbox",
+                    :description => "Useful for when you need to ask a customer what you need to know or to talk with them.",
+                    :input => "Input should be a conversation to customer.",
+                    :output => "" ,
+                  ),
+                )
+  julia> toolname = toolNameBeingCalled(text, tools)
+  ```
+"""
+function toolNameBeingCalled(text::T, tools::Dict) where {T<:AbstractString}
+  toolNameBeingCalled = nothing
+  for (k, v) in tools
+    toolname = String(k)
+    if contains(text, toolname)
+      toolNameBeingCalled = toolname
+      break
+    end
+  end
+  return toolNameBeingCalled
+end
+
+
+function answerNow(a::T) where {T<:agent}
+  prompt = 
+  """
+  <|im_start|>system
+  {systemMsg}
+  Your need to determine now whether you will use tools or actions to answer the question.
+
+  You have the following choices:
+  If you don't need tools or actions to answer the question say, "{no}".
+  If you need tools or actions to answer the question say, "{yes}".
+  <|im_end|>
+  """
+  prompt = replace(prompt, "{systemMsg}" => a.thought)
+
+  error("answerNow done")
+end
+
+
+#TODO
+function checkReasonableness(userMsg::String, context::String, tools)
+  # Ref: https://www.youtube.com/watch?v=XV4IBaZqbps
+
+ prompt = 
+ """
+  <|im_start|>system
+  You are a helpful assistant. Your job is to check the reasonableness of user questions.
+  If the user question can be answered given the tools available say, "This is a reasonable question".
+  If the user question cannot be answered then provide some feedback to the user that may improve
+  their question.
+
+  Here is the context for the question: 
+  {context}
+
+  <|im_end|>
+  
+  <|im_start|>user
+  {question}
+  <|im_end|>
+  <|im_start|>assistant
+
+  """
+
+  context = "You have access to the following tools:
+              WineStock: useful for when you need to find info about wine by matching your description, price, name or ID. Input should be a search query with as much details as possible."
+  prompt = replace(prompt, "{question}" => userMsg)
+  prompt = replace(prompt, "{context}" => context)
+
+  output_py = llm(
+              prompt,
+              max_tokens=512,
+              temperature=0.1,
+              # top_p=top_p,
+              echo=false,
+              stop=["</response>", "<<END>>", ],
+            )
+  _output_jl = pyconvert(Dict, output_py);
+  output = pyconvert(Dict, _output_jl["choices"][1]);
+  output["text"]
+  
+end
+
+"""
+  Detect given characters. Output is a list of named tuple of detected char. 
+
+  ```jldoctest
+  julia> text = "I like to eat apples and use utensils."
+  julia> characters = ["eat", "use", "i"]
+  julia> result = detectCharacters(text, characters)
+  4-element Vector{Any}:
+  (char = "i", start = 4, stop = 4)
+  (char = "eat", start = 11, stop = 13)
+  (char = "use", start = 26, stop = 28)
+  (char = "i", start = 35, stop = 35)
+  ```
+"""
+function detectCharacters(text::T1, characters::Vector{T2}) where {T1<:AbstractString, T2<:AbstractString}
+  result = []
+  for i in eachindex(text)
+    for char in characters
+      l = length(char)
+      char_startInd = i
+      char_endInd = i+l-1   # -1 because Julia use inclusive index
+
+      if char_endInd > length(text)
+        # skip
+      else
+        try # some time StringIndexError: invalid index [535], valid nearby indices [534]=>'é', [536]=>' '
+          if text[char_startInd: char_endInd] == char
+            push!(result, (char=char, start=char_startInd, stop=char_endInd))
+          end
+        catch
+        end
+      end
+    end
+  end
+  
+  return result
+end
+
+"""
+  Find a given character from a vector of named tuple. 
+  Output is character location index inside detectedCharacters
+
+  ```jldoctest
+  julia a = [ (char = "i", start = 4, stop = 4)
+              (char = "eat", start = 11, stop = 13)
+              (char = "use", start = 26, stop = 28)
+              (char = "i", start = 35, stop = 35) ]
+  julia> findDetectedCharacter(a, "i")
+  [1, 4] 
+  ```
+"""
+function findDetectedCharacter(detectedCharacters, character)
+  allchar = [i[1] for i in detectedCharacters]
+  return findall(isequal.(allchar, character))
+end
+
+"""
+  Chunk a text into smaller pieces by header.
+  ```jldoctest
+  julia> using ChatAgent
+  julia> text = "Plan: First, we need to find out what kind of wine the user wants."
+  julia> headers = ChatAgent.detectCharacters(text, ["Nope", "sick", "First", "user", "Then", ])
+  3-element Vector{Any}:
+ (char = "First", start = 7, stop = 11)
+ (char = "user", start = 56, stop = 59)
+ (char = "Then", start = 102, stop = 105)
+  julia> chunkedtext = ChatAgent.chunktext(text, headers)
+  2-element Vector{Any}:
+ (header = "First", body = ", we need to find out what kind of wine the ")
+ (header = "user", body = " wants.")
+  ```
+"""
+function chunktext(text::T, headers) where {T<:AbstractString}
+  result = []
+  
+  for (i, v) in enumerate(headers)
+    if i < length(headers)
+      nextheader = headers[i+1]
+      body = text[v[:stop]+1: nextheader[:start]-1]
+      push!(result, (header=v[:char], body=body))
+    else
+      body = text[v[:stop]+1: end]
+      push!(result, (header=v[:char], body=body))
+    end
+  end
+
+  return result
+end
+
+"""
+  Search wikipedia.
+
+  Args:
+    query (string): The query to search for
+
+  Returns:
+    string: The search result text from wikipedia
+  ```jldoctest
+  julia> using HTTP, JSON3
+  julia> result = wikisearch("AMD")
+  "Advanced Micro Devices, Inc., commonly abbreviated as AMD, is an ..."
+  ```
+"""
+function wikisearch(phrase::T) where {T<:AbstractString}
+  url = "https://en.wikipedia.org/w/api.php?action=query&format=json&prop=extracts&titles=$(replace(phrase, " " => "%20"))&exintro=1&explaintext=1"
+  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"]
+  catch
+    result = "No info available."
+  end
+  if result == ""
+    result = "No info available."
+  end
+  return result
+end
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+end # module
\ No newline at end of file
diff --git a/src/interface.jl b/src/interface.jl
index ed9dc34..88a35e0 100755
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -72,7 +72,7 @@ function agentReact(
   roles::Dict=Dict(
     :assistant => 
       """
-      You are a helpful assistant that answer the user's questions as best you can.
+      You are a helpful assistant who answer the user's questions as best you can.
       """,
     :sommelier => 
       """
@@ -501,106 +501,6 @@ function work(a::T, prompt::String, maxround::Int=3) where {T<:agent}
   return respond
 end
 
-# function work(a::T, prompt::String, maxround::Int=3) where {T<:agent}
-#   respond = nothing
-#   while true
-#     a.thoughtround += 1
-#     toolname = nothing
-#     toolinput = nothing
-
-#     if a.thoughtround > a.thoughtlimit
-#       a.thought *= "Thought $(a.thoughtround): I think I know the answer."
-#       prompt = a.thought
-#     end
-#     @show prompt
-#     respond = sendReceivePrompt(a, prompt)
-
-#     headerToDetect = nothing
-#     if a.thoughtround == 1
-#       try 
-#         respond = split(respond, "Obs:")[1]  
-#         @show respond
-#         headerToDetect = ["Question:", "Plan:", "Thought:", "Act:", "ActInput:", "Obs:", "...", "Answer:", 
-#                         "Conclusion:", "Summary:"]
-#       catch 
-#       end
-#     else
-#       try 
-#         respond = split(respond, "Obs $(a.thoughtround):")[1]  
-#         @show respond
-#         headerToDetect = ["Question $(a.thoughtround):", "Plan $(a.thoughtround):", 
-#                         "Thought $(a.thoughtround):", "Act $(a.thoughtround):", 
-#                         "ActInput $(a.thoughtround):", "Obs $(a.thoughtround):", 
-#                         "...", "Answer:", 
-#                         "Conclusion:", "Summary:"]
-#       catch 
-#       end
-#     end
-
-#     headers = detectCharacters(respond, headerToDetect)
-#     chunkedtext = chunktext(respond, headers)
-#     @show chunkedtext
-
-#     if a.thought == "nothing"
-#       thought = ""
-#       for i in chunkedtext
-#         header = i[:header]
-#         header = replace(header, ":"=>" $(a.thoughtround):") # add number so that llm not confused
-#         body = i[:body]
-#         thought *= "$header $body"
-#       end
-#       a.thought = prompt * thought
-#     else
-#       a.thought *= respond
-#     end
-
-#     Answer = findDetectedCharacter(headers, "Answer:")
-#     AnswerInd = length(Answer) != 0 ? Answer[1] : nothing
-#     Act = findDetectedCharacter(headers, "Act $(a.thoughtround):")
-#     if length(Answer) == 1 && length(Act) == 0
-#       a.thought = "nothing" # question finished, no more thought
-#       a.thoughtround = 0
-#       respond = chunkedtext[AnswerInd][:body]
-#       _ = addNewMessage(a, "assistant", respond)
-#       break
-#     else
-#       # check for tool being called
-#       ActHeader = a.thoughtround == 1 ? "Act:" : "Act $(a.thoughtround):"
-#       ActInd = findDetectedCharacter(headers, ActHeader)[1]
-#       toolname = toolNameBeingCalled(chunkedtext[ActInd][:body], a.tools)
-#       toolinput = chunkedtext[ActInd+1][:body]
-#       if occursin(" \"", toolinput)
-#         toolinput = GeneralUtils.getStringBetweenCharacters(toolinput, " \"", "\"\n")
-#       else
-#         toolinput = GeneralUtils.getStringBetweenCharacters(toolinput, " ", "\n")
-#       end
-#       @show toolname  
-#       @show toolinput
-      
-
-#       if toolname == "chatbox"  # chat with user
-#         a.thought *= toolinput
-#         respond = toolinput
-#         _ = addNewMessage(a, "assistant", respond)
-#         break
-#       else  # function call
-#         println("//////////// $(a.thoughtround)")
-#         f = a.tools[Symbol(toolname)][:func]
-#         _result = f(toolinput)
-#         if _result != "No info available."  #TODO for use with wikisearch(). Not good for other tools
-#           _result = makeSummary(a, _result)
-#         end
-#         result = "Obs $(a.thoughtround): $_result\n"
-#         a.thought *= result
-#         prompt = a.thought
-#       end
-#     end
-#   end
-#   @show respond
-#   return respond
-# end
-
-
 """
   make a conversation summary.
   ```jldoctest