run pre-commit to check update code

Signed-off-by: liuww <liuww@superred.com.cn>

Author: liuww

requirements-test.txt

@@ -23,6 +23,10 @@ anyio==4.6.2.post1
     # via httpx
 argcomplete==3.5.1
     # via datamodel-code-generator
+async-timeout==4.0.3
+    # via
+    #   aiohttp
+    #   redis
 attrs==24.2.0
     # via
     #   aiohttp
@@ -116,6 +120,10 @@ encodec==0.1.1
     # via vocos
 evaluate==0.4.3
     # via lm-eval
+exceptiongroup==1.2.2
+    # via
+    #   anyio
+    #   pytest
 fastparquet==2024.11.0
     # via genai-perf
 fastrlock==0.8.2
@@ -544,9 +552,7 @@ sentence-transformers==3.2.1
 sentencepiece==0.2.0
     # via mistral-common
 setuptools==75.8.0
-    # via
-    #   pytablewriter
-    #   torch
+    # via pytablewriter
 six==1.16.0
     # via
     #   python-dateutil
@@ -591,6 +597,12 @@ timm==1.0.11
     # via -r requirements-test.in
 tokenizers==0.21.0
     # via transformers
+toml==0.10.2
+    # via datamodel-code-generator
+tomli==2.2.1
+    # via
+    #   black
+    #   pytest
 torch==2.5.1
     # via
     #   -r requirements-test.in
@@ -651,13 +663,17 @@ typepy==1.3.2
     #   tabledata
 typing-extensions==4.12.2
     # via
+    #   anyio
     #   bitsandbytes
+    #   black
     #   huggingface-hub
     #   librosa
     #   mistral-common
+    #   multidict
     #   pqdm
     #   pydantic
     #   pydantic-core
+    #   rich
     #   torch
 tzdata==2024.2
     # via pandas

tests/entrypoints/openai/test_chat.py

@@ -655,9 +655,11 @@ async def test_named_tool_use(client: openai.AsyncOpenAI,
         "role": "system",
         "content": "you are a helpful assistant"
     }, {
-        "role": "user",
-        "content":f"Give an example JSON for an employee profile that "
-                  f"fits this schema: {sample_json_schema}"
+        "role":
+        "user",
+        "content":
+        f"Give an example JSON for an employee profile that "
+        f"fits this schema: {sample_json_schema}"
     }]
 
     # non-streaming
@@ -689,8 +691,10 @@ async def test_named_tool_use(client: openai.AsyncOpenAI,
 
     messages.append({"role": "assistant", "content": json_string})
     messages.append({
-        "role": "user",
-        "content": "Give me another one with a different name and age"
+        "role":
+        "user",
+        "content":
+        "Give me another one with a different name and age"
     })
 
     # streaming

vllm/entrypoints/openai/serving_chat.py

@@ -20,16 +20,14 @@
     ChatCompletionRequest, ChatCompletionResponse,
     ChatCompletionResponseChoice, ChatCompletionResponseStreamChoice,
     ChatCompletionStreamResponse, ChatMessage, DeltaFunctionCall, DeltaMessage,
-    DeltaToolCall, ErrorResponse, FunctionCall, PromptTokenUsageInfo,
-    RequestResponseMetadata, ToolCall, UsageInfo)
+    DeltaToolCall, ErrorResponse, PromptTokenUsageInfo,
+    RequestResponseMetadata, UsageInfo)
 from vllm.entrypoints.openai.reasoning_parsers import (ReasoningParser,
                                                        ReasoningParserManager)
 from vllm.entrypoints.openai.serving_engine import (OpenAIServing,
                                                     clamp_prompt_logprobs)
 from vllm.entrypoints.openai.serving_models import OpenAIServingModels
 from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
-from vllm.entrypoints.openai.tool_parsers.mistral_tool_parser import (
-    MistralToolCall)
 from vllm.logger import init_logger
 from vllm.outputs import CompletionOutput, RequestOutput
 from vllm.sampling_params import BeamSearchParams, SamplingParams
@@ -337,7 +335,8 @@ async def chat_completion_stream_generator(
         # Prepare the tool parser if it's needed
         try:
             use_auto_tool = tool_choice_auto and self.tool_parser
-            use_choice_tool = request.tool_choice and type(request.tool_choice) is ChatCompletionNamedToolChoiceParam
+            use_choice_tool = request.tool_choice and type(
+                request.tool_choice) is ChatCompletionNamedToolChoiceParam
             if use_auto_tool or use_choice_tool:
                 tool_parsers: list[Optional[ToolParser]] = [
                     self.tool_parser(tokenizer)
@@ -758,13 +757,13 @@ async def chat_completion_full_generator(
                     logger.exception("Error in tool parser creation.")
                     return self.create_error_response(str(e))
 
-                tool_call_info = tool_parser.extract_tool_calls(output.text, request=request)
+                tool_call_info = tool_parser.extract_tool_calls(
+                    output.text, request=request)
 
                 message = ChatMessage(role=role,
                                       content=tool_call_info.content,
                                       tool_calls=tool_call_info.tool_calls)
 
-
             # if the request doesn't use tool choice
             # OR specifies to not use a tool
             elif not request.tool_choice or request.tool_choice == "none":