update

src/agentCore.jl

@@ -184,8 +184,10 @@ function _process_message(agent::yiemAgent)::assistantMessage
 
     # Call llmCall() (blocking — the task waits here)
     response = agent.llmCall(formatted_messages)
+    
+    error(5555555)
 
-    # 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)
     has_tool_calls = false
     tool_call_list = agentToolCall[]
 

src/type.jl

@@ -245,7 +245,7 @@ mutable struct agentState                     # Mutable runtime state of an agen
     model::llmModel                           # LLM model to use
     tools::Vector{agentTool}                  # Available tools
 
-    # messages history includes userMessage, assistantMessage, toolResultMessage
+    # messages history includes userMessage, assistantMessage, toolResultMessage. NO system prompt
     messages::Vector{agentMessage}            
     
     pendingToolCalls::Vector{String}          # Tool call IDs waiting for results
@@ -568,7 +568,7 @@ yiemAgent(agentState(...), Channel(...), Channel(...), Channel(...), ..., ...)
 ```
 """
 function yiemAgent(
-  ; systemPrompt::String="",
+  ; systemPrompt::String="You are helpful assistant.",
     model=nothing,
     tools::Vector{agentTool}=agentTool[],
     messages::Vector{agentMessage}=agentMessage[],

src/utils.jl

@@ -103,13 +103,21 @@ prepareContext(state) == deepcopy(state.messages)
 #   return msgs
 # end
 ```
-"""
-function prepareContext(state::agentState)::Vector{agentMessage}
-  messages = deepcopy(state.messages) # messages that will be send to LLM
+""" #WORKING
+function prepareContext(state::agentState)::agentContext
   
-  #TODO adjust/modify and inject additional context into messages
+  #TODO filter tools from state.tools based on user intend in user message and tool description
+  filteredTools = state.tools
 
-  return messages
+  #TODO add tools to current system prompt
+  preparedSystemPrompt = state.systemPrompt
+  
+  #TODO add system prompt, adjust/modify and inject additional context into messages
+  preparedMessages = deepcopy(state.messages) # messages that will be send to LLM
+
+  agentCtx = agentContext(preparedSystemPrompt, preparedMessages, filteredTools)
+
+  return agentCtx
 end