update docstring

src/type.jl

@@ -146,7 +146,7 @@ function sommelier(
   id::String= string(uuid4()),
   retailername::String= "retailer_name",
   maxHistoryMsg::Integer= 20,
-  chathistory::Vector{Dict{String, String}} = Vector{Dict{String, String}}(),
+  chathistory::Vector{Dict{String, Any}} = Vector{Dict{String, Any}}(),
   llmFormatName::String= "granite3"
   )
 
@@ -164,17 +164,42 @@ function sommelier(
     )
 
   """ 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()),
-    ]
+
+    Chat history use openai format as follow:
+
+      image1_path = "test/large_image.png"                           ---
+      image1_bytes = read(image1_path)                                 | this part must be done
+      image1_base64_string = base64encode(image1_bytes)                | in frontend 
+      mime_type = "image/png"                                          | not in agent code
+      data1_uri = "data:$(mime_type);base64,$(image1_base64_string)" ---
+
+      chathistory= [
+        Dict(
+          "role" => "system",
+          "content" => [
+            Dict("type" => "text", "text" => "You are a helpful assiatant"),
+          ]
+        ),
+        Dict(
+          "role" => "user",
+          "content" => [
+            Dict("type" => "text", "text" => "<internal_context_for_assistant> 
+                                              LLM context here...
+                                              </internal_context_for_assistant>
+                                              Do you know this wine? Just give me brief intro."
+            ),
+            Dict(
+              "type" => "image_url",
+              "image_url" => Dict("url" => data1_uri)
+            ),
+          ]
+        )
+      ]
   """
   memory = Dict{String, Any}(
             "shortmem"=> OrderedDict{String, Any}(
               "db_search_result"=> Any[],
-              "scratchpad"=> "", #PENDING should be a dict e.g. Dict("database_search_result"=>Dict("wines"=> "", "search_query"=> ""))
+              "scratchpad"=> "",
             ),
             "events"=> Vector{Dict{String, Any}}(),
             "state"=> Dict{String, Any}(