add kia ai chat tools 1

src/services/chatbot.py

@@ -171,10 +171,11 @@ def audio_loader(content, query: str, audio: [str | None, str | None]):
     return content
 
 def chatbot_workflow(bot, now):
+    is_kia_model = bot.model.startswith("kia/")
+    print(f"[chatbot_workflow] START | model='{bot.model}' | is_kia={is_kia_model} | web_search={bot.web_search}")
 
-    print(f"[get_model] Using model: {bot}")
     model = get_model(model=bot.model)
-    print(f"[get_model] Using model: {model}")
+    print(f"[chatbot_workflow] Model initialized: {type(model).__name__}")
     trimmer = get_trimmer()
 
     if bot.web_search:
@@ -182,9 +183,13 @@ def chatbot_workflow(bot, now):
 
     async def call_model(state: MessagesState):
         kwargs = {}
-        if "gemini" not in bot.model:
+        is_kia = bot.model.startswith("kia/")
+        if "gemini" not in bot.model and not is_kia:
             kwargs["stream_usage"] = True
 
+        if is_kia:
+            print(f"[KiaAI] call_model invoked | model='{bot.model}' | stream_usage disabled")
+
         trimmed_messages = await trimmer.ainvoke(state["messages"])
         input_messages = [
                              SystemMessage(
@@ -199,6 +204,13 @@ def chatbot_workflow(bot, now):
 
         response = await model.ainvoke(input=input_messages, **kwargs)
 
+        if is_kia:
+            print(f"[KiaAI] Response received | type={type(response).__name__}")
+            print(f"[KiaAI] content='{response.content[:200] if response.content else None}'")
+            print(f"[KiaAI] usage_metadata={response.usage_metadata}")
+            print(f"[KiaAI] additional_kwargs={response.additional_kwargs}")
+            print(f"[KiaAI] tool_calls={response.tool_calls}")
+
         ai_msg_created_at = datetime.now(UTC).isoformat()
         response.additional_kwargs["created_at"] = ai_msg_created_at
 

src/services/kiaai/chat.py

@@ -47,11 +47,17 @@ class KiaAIService:
         if reasoning_effort and model_name in REASONING_MODELS:
             model_kwargs["reasoning_effort"] = reasoning_effort
 
+        print(f"[KiaAI] Initializing model='{model_name}' | base_url='{base_url}' | reasoning_effort='{reasoning_effort}'")
+
+        # streaming=False is REQUIRED: KIA API returns chunks with choices=null
+        # which causes TypeError in LangChain's _convert_chunk_to_generation_chunk.
+        # Disabling streaming forces LangChain to use the non-streaming endpoint.
         return ChatOpenAI(
             model=model_name,
             api_key=settings.kia_api_key,
             base_url=base_url,
             model_kwargs=model_kwargs,
+            streaming=False,
         )