update

src/type.jl

@@ -146,7 +146,8 @@ assistantMessage("assistant", [textContent("Hello!")], "", "", "gpt-4", ..., "en
 function assistantMessage(; role="assistant", content=Vector{messageContent}(),
     api="", provider="", model=nothing, usage=llmUsage(0, 0), stopReason="end_turn",
     errorMessage=nothing, timestamp=now())
-    return assistantMessage(role, content, api, provider, model, usage, stopReason, errorMessage, timestamp)
+    model_str = model isa AbstractString ? String(model) : ""
+    return assistantMessage(role, content, api, provider, model_str, usage, stopReason, errorMessage, timestamp)
 end
 
 struct toolResultMessage <: agentMessage    # Result returned from a tool execution
@@ -395,13 +396,11 @@ end
 Configuration for the agent tool execution loop.
 
 # Arguments
-- `tools::OrderedDict{String, agentTool}`: Available tools keyed by name
 - `beforeToolCall::Union{Function, Nothing}`: Callback before tool execution
 - `afterToolCall::Union{Function, Nothing}`: Callback after tool execution
 - `toolExecution::String`: Execution mode — "sequential" or "parallel"
 """
 struct agentLoopConfig
-    tools::OrderedDict{String, agentTool}
     beforeToolCall::Union{Function, Nothing}
     afterToolCall::Union{Function, Nothing}
     toolExecution::String