Fix: NoneType += str error in openai_source.py

- Add guard for reasoning_content before += operation
- Fix MessageList.vue closing tag parsing error
- Fix MessagePartsRenderer.vue v-if multiline attribute
- Fix sensevoice_selfhosted_source.py model type annotation
- Remove unused imports from tencent_record_helper.py
- Fix xinference_rerank_source.py unused import
- Fix chat.py pending_tool_calls type annotation

astrbot/core/provider/sources/sensevoice_selfhosted_source.py

@@ -6,7 +6,7 @@ LastEditTime: 2025-02-25 14:06:30
 import asyncio
 import re
 from datetime import datetime
-from typing import Protocol
+from typing import Protocol, cast
 
 import anyio
 from funasr_onnx import SenseVoiceSmall
@@ -55,7 +55,10 @@ class ProviderSenseVoiceSTTSelfHost(STTProvider):
         # 将模型加载放到线程池中执行
         self.model = await asyncio.get_running_loop().run_in_executor(
             None,
-            lambda: SenseVoiceSmall(self.model_name, quantize=True, batch_size=16),
+            lambda: cast(
+                SenseVoiceModel,
+                SenseVoiceSmall(self.model_name, quantize=True, batch_size=16),
+            ),
         )
 
         logger.info("SenseVoice 模型加载完成｡")

astrbot/core/provider/sources/xinference_rerank_source.py

@@ -1,6 +1,5 @@
 from xinference_client.client.restful.async_restful_client import AsyncClient as Client
 from xinference_client.client.restful.async_restful_client import (
-    AsyncRESTfulModelHandle,
     AsyncRESTfulRerankModelHandle,
 )
 

astrbot/core/utils/tencent_record_helper.py

@@ -14,9 +14,7 @@ from astrbot.core import logger
 from astrbot.core.utils.astrbot_path import get_astrbot_temp_path
 
 if TYPE_CHECKING:
-    from typing import Any
-
-    import pilk  # optional; stubs live under types/pilk.pyi
+    pass  # pilk/p Moffmpeg are runtime optional deps
 
 
 async def tencent_silk_to_wav(silk_path: str, output_path: str) -> str:

astrbot/dashboard/routes/chat.py

@@ -105,7 +105,7 @@ class BotMessageAccumulator:
     def __init__(self) -> None:
         self.parts: list[dict] = []
         self.pending_text = ""
-        self.pending_tool_calls: dict[str, dict] = {}
+        self.pending_tool_calls: dict[str, Any] = {}
 
     def has_content(self) -> bool:
         return bool(self.parts or self.pending_text or self.pending_tool_calls)