src/agentCore.jl

@@ -20,19 +20,33 @@ mutable struct yiemAgent <: agent             # High-level agent wrapper
   # user sends prompt message to agent. if agent is idle, it process user message right away. 
   # if agent is running, it process user message after  the current tool call finished.
   # Expect each message in OpenAI chat format:
-  #   Dict("role" => "user", "content" => [
-  #     Dict("type" => "text", "text" => "Your question here"),
-  #     Dict("type" => "image_url", "image_url" => Dict("url" => "data:image/png;base64,<base64-string>"))
-  #   ])
-  # To embed an image, read it as bytes and encode to base64:
-  #   img = read("path/to/image.png")
-  #   b64 = base64encode(img)
-  #   data_uri = "data:image/png;base64,$b64"
-  #   message = Dict("role" => "user", "content" => [
-  #     Dict("type" => "text", "text" => "Do you have this wine?"),
-  #     Dict("type" => "image_url", "image_url" => Dict("url" => data_uri))
-  #   ])
-  # Multiple images can be included alongside text in the content array.
+  # image1_path = "test/large_image.png"
+  # image1_bytes = read(image1_path)
+  # image1_base64_string = base64encode(image1_bytes)
+  # mime_type = "image/png" 
+  # data1_uri = "data:$(mime_type);base64,$(image1_base64_string)"
+
+  # # 1. Read local file and encode to base64 string
+  # image2_path = "test/small_image.png"
+  # image2_bytes = read(image2_path)
+  # image2_base64_string = base64encode(image2_bytes)
+  # mime_type = "image/png" 
+  # data2_uri = "data:$(mime_type);base64,$(image2_base64_string)"
+
+  # # 3. Construct payload with the Data URI
+  # message = Dict(
+  #     "role" => "user",
+  #     "content" => [
+  #       Dict("type" => "text", "text" => 
+  #       "
+  #       Do you have Brunello di Montalcino from Tenuta CastelGiocon?
+  #       "),
+  #       Dict(
+  #         "type" => "image_url",
+  #         "image_url" => Dict("url" => data1_uri)
+  #       )
+  #     ]
+  #   )
   inputChannel::Channel                        
                                               
   # Buffers follow-up messages the user sends while the agent is busy. Uses the same