update

src/agentCore.jl

@@ -3,7 +3,7 @@ module agentCore
 export yiemAgent, _agentLoop, OpenAiToUserMessage
 
 using JSON, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization,
-      DataFrames, Base.Threads
+      DataFrames, Base.Threads, NATS
 using GeneralUtils
 using ..type, ..utils, ..toolRegistry
 
@@ -342,20 +342,23 @@ function _processMessage(
   agentEventSink("_processMessage 1")
   # loop until llmCall() response didn't use tool calls
   final_response = nothing
+
+  """ example message in inputChannel
+  Dict(
+      "role" => "user",
+      "content" => [
+        Dict("type" => "text", "text" => "Do you have something similar to the one in the image?"),
+        Dict(
+          "type" => "image_url",
+          "image_url" => Dict("url" => "data:mime_type;base64,image2_base64_string")
+        ),
+      ]
+    )
+  """
+
   while true
 
-    """ example message in inputChannel
-    Dict(
-        "role" => "user",
-        "content" => [
-          Dict("type" => "text", "text" => "Do you have something similar to the one in the image?"),
-          Dict(
-            "type" => "image_url",
-            "image_url" => Dict("url" => "data:mime_type;base64,image2_base64_string")
-          ),
-        ]
-      )
-    """
+    
 
     # Drain inputChannel and convert OpenAI-format messages to userMessage type
     while isready(inputChannel)
@@ -377,22 +380,26 @@ function _processMessage(
     # call prepareContext()
     state = agentState(systemPrompt, nothing, tools, messages)
     agentEventSink("_processMessage 8")
-    preparedContext = prepareContext(state)
+    preparedContext = prepareContext(state, agentEventSink)
     agentEventSink("_processMessage 8")
     # Call formatMessagesForLLM() to format for LLM
-    formattedMessages = formatMessagesForLLM(preparedContext)
+    formattedMessages = formatMessagesForLLM(preparedContext, agentEventSink)
 
     agentEventSink("_processMessage 10")
     # Call llmCall() (blocking — the task waits here)
     response = llmCall(formattedMessages)
-    agentEventSink(response)
+
+    """ response example
+    response = JSON.Object{String, Any}("finish_reason" => "tool_calls", "index" => 0, "message" => JSON.Object{String, Any}("role" => "assistant", "content" => "", "reasoning_content" => "Here's a thinking process:\n\n1.  **Identify User Request**: The user is asking for the weather in Bangkok.\n2.  **Locate Relevant Tool**: I have a `getWeather` function available.\n3.  **Check Function Parameters**:\n   - `city` (required): City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\n   - `units` (optional, default \"celsius\"): Temperature scale (\"celsius\" or \"fahrenheit\")\n4.  **Prepare Parameters**:\n   - `city`: \"Bangkok, Thailand\" (adding country for clarity, though just \"Bangkok\" might work, following the example format is safer)\n   - `units`: Not specified, so I'll use the default (\"celsius\")\n5.  **Execute Tool Call**: Call `getWeather` with `city: \"Bangkok, Thailand\"`\n6.  **Anticipate Response**: The function will return current weather and forecast data for Bangkok. I'll then format it nicely for the user.\n   - *Self-Correction/Verification during thought*: The prompt says \"city: City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\". I'll use \"Bangkok, Thailand\". The `units` parameter is optional, so I'll omit it to use the default.\n   - Proceed with tool call.✅\n", "tool_calls" => Any[JSON.Object{String, Any}("type" => "function", "function" => JSON.Object{String, Any}("name" => "getWeather", "arguments" => "{\"city\":\"Bangkok, Thailand\"}"), "id" => "6fOilR5QPcdppbAAHluhkRyUDu3oWMAL")]))
+    """
+
+    agentEventSink(string(response))
     agentEventSink("_processMessage 11")
-    error("debug marker")
-    # Check if LLM used tool calls (inspect content for tool_call blocks)
+    #WORKING Check if LLM used tool calls (inspect content for tool_call blocks)
     hasToolCalls = false
     toolCallList = agentToolCall[]
 
-    for content_block in response.content
+    for content_block in response.content # extract response
       if content_block isa Dict
         if get(content_block, :type, "") == "tool_calls"
           hasToolCalls = true