feat(demohouse/video_analyser):newversion

Author: liyuxuan-bd

demohouse/video_analyser/backend/code/main.py

@@ -22,15 +22,17 @@
 import utils
 from config import VISUAL_SUMMARY_ENDPOINT, QUESTION_ANSWER_ENDPOINT, TTS_ACCESS_TOKEN, TTS_APP_ID
 
+from volcenginesdkarkruntime.types.chat.completion_create_params import Thinking
+
+from volcenginesdkarkruntime.types.chat.chat_completion_content_part_text_param import ChatCompletionContentPartTextParam
+
 from arkitect.core.component.llm import BaseChatLanguageModel
-from arkitect.core.component.llm.model import (
+from arkitect.types.llm.model import (
     ArkChatCompletionChunk,
     ArkChatParameters,
     ArkChatRequest,
     ArkChatResponse,
     ArkMessage,
-    ArkThinking,
-    ChatCompletionMessageTextPart,
     Response,
 )
 from arkitect.core.component.tts import (
@@ -59,7 +61,7 @@ async def get_request_messages_for_llm(
     request_messages = await contexts.get_history(context_id)
     if isinstance(request.messages[-1].content, list):
         assert isinstance(
-            request.messages[-1].content[0], ChatCompletionMessageTextPart
+            request.messages[-1].content[0], ChatCompletionContentPartTextParam
         )
         text = request.messages[-1].content[0].text
     else:
@@ -206,11 +208,11 @@ async def default_model_calling(
     # Use VLM to summarize the image asynchronously and return immediately
     is_image = (
         isinstance(request.messages[-1].content, list)
-        and isinstance(request.messages[-1].content[0], ChatCompletionMessageTextPart)
+        and isinstance(request.messages[-1].content[0], ChatCompletionContentPartTextParam)
         and request.messages[-1].content[0].text == ""
     )
     parameters = ArkChatParameters(**request.__dict__)
-    parameters.thinking = ArkThinking(type="disabled")
+    parameters.thinking = Thinking(type="disabled")
     if is_image:
         _ = asyncio.create_task(
             summarize_image(contexts, request, parameters, context_id)
@@ -250,7 +252,7 @@ async def default_model_calling(
     await tts_client.close()
     text = ""
     if isinstance(request.messages[-1].content, list) and isinstance(
-        request.messages[-1].content[0], ChatCompletionMessageTextPart
+        request.messages[-1].content[0], ChatCompletionContentPartTextParam
     ):
         text = request.messages[-1].content[0].text
     elif isinstance(request.messages[-1].content, str):