[Fix] Move "model_config" as keyword args in chat_utils.py (#18098)

Signed-off-by: Linkun <github@lkchen.net>

tests/entrypoints/openai/test_chat_template.py

@@ -122,10 +122,10 @@ def test_get_gen_prompt(model, template, add_generation_prompt,
 
     # Call the function and get the result
     result = apply_hf_chat_template(
-        model_config,
+        tokenizer=tokenizer,
-        tokenizer,
         conversation=mock_request.messages,
         chat_template=mock_request.chat_template or template_content,
+        model_config=model_config,
         tools=None,
         add_generation_prompt=mock_request.add_generation_prompt,
         continue_final_message=mock_request.continue_final_message,

tests/entrypoints/test_chat_utils.py

@@ -793,10 +793,10 @@ def test_multimodal_image_parsing_matches_hf(model, image_url):
     )
 
     vllm_result = apply_hf_chat_template(
-        model_config,
+        tokenizer=tokenizer,
-        tokenizer,
         conversation=conversation,
         chat_template=None,
+        model_config=model_config,
         tools=None,
         add_generation_prompt=True,
     )
@@ -903,11 +903,11 @@ def test_resolve_content_format_hf_defined(model, expected_format):
     print(_try_extract_ast(chat_template))
 
     resolved_format = resolve_chat_template_content_format(
-        model_config,
         None,  # Test detecting the tokenizer's chat_template
         None,
         "auto",
         tokenizer,
+        model_config=model_config,
     )
 
     assert resolved_format == expected_format
@@ -962,11 +962,11 @@ def test_resolve_content_format_fallbacks(model, expected_format):
     print(_try_extract_ast(chat_template))
 
     resolved_format = resolve_chat_template_content_format(
-        model_config,
         None,  # Test detecting the tokenizer's chat_template
         None,
         "auto",
         tokenizer,
+        model_config=model_config,
     )
 
     assert resolved_format == expected_format
@@ -1021,11 +1021,11 @@ def test_resolve_content_format_examples(template_path, expected_format):
     print(_try_extract_ast(chat_template))
 
     resolved_format = resolve_chat_template_content_format(
-        model_config,
         chat_template,
         None,
         "auto",
         dummy_tokenizer,
+        model_config=model_config,
     )
 
     assert resolved_format == expected_format

vllm/entrypoints/chat_utils.py

@@ -44,7 +44,7 @@ from vllm.transformers_utils.chat_templates import (
 # yapf: enable
 from vllm.transformers_utils.processor import cached_get_processor
 from vllm.transformers_utils.tokenizer import AnyTokenizer, MistralTokenizer
-from vllm.utils import random_uuid
+from vllm.utils import deprecate_kwargs, random_uuid
 
 logger = init_logger(__name__)
 
@@ -329,11 +329,17 @@ def resolve_mistral_chat_template(
             "so it will be ignored.")
     return None
 
+@deprecate_kwargs(
+    "trust_remote_code",
+    additional_message="Please use `model_config.trust_remote_code` instead.",
+)
 def resolve_hf_chat_template(
-    model_config: ModelConfig,
     tokenizer: Union[PreTrainedTokenizer, PreTrainedTokenizerFast],
     chat_template: Optional[str],
     tools: Optional[list[dict[str, Any]]],
+    *,
+    model_config: ModelConfig,
+    trsut_remote_code: Optional[bool] = None,
 ) -> Optional[str]:
     # 1st priority: The given chat template
     if chat_template is not None:
@@ -379,18 +385,19 @@ def resolve_hf_chat_template(
 
 
 def _resolve_chat_template_content_format(
-    model_config: ModelConfig,
     chat_template: Optional[str],
     tools: Optional[list[dict[str, Any]]],
     given_format: ChatTemplateContentFormatOption,
     tokenizer: AnyTokenizer,
+    *,
+    model_config: ModelConfig,
 ) -> _ChatTemplateContentFormat:
     if isinstance(tokenizer, (PreTrainedTokenizer, PreTrainedTokenizerFast)):
         hf_chat_template = resolve_hf_chat_template(
-            model_config,
             tokenizer,
             chat_template=chat_template,
             tools=tools,
+            model_config=model_config,
         )
     else:
         hf_chat_template = None
@@ -428,19 +435,25 @@ def _log_chat_template_content_format(
         )
 
 
+@deprecate_kwargs(
+    "trust_remote_code",
+    additional_message="Please use `model_config.trust_remote_code` instead.",
+)
 def resolve_chat_template_content_format(
-    model_config: ModelConfig,
     chat_template: Optional[str],
     tools: Optional[list[dict[str, Any]]],
     given_format: ChatTemplateContentFormatOption,
     tokenizer: AnyTokenizer,
+    *,
+    model_config: ModelConfig,
+    trust_remote_code: Optional[bool] = None,
 ) -> _ChatTemplateContentFormat:
     detected_format = _resolve_chat_template_content_format(
-        model_config,
         chat_template,
         tools,
         given_format,
         tokenizer,
+        model_config=model_config,
     )
 
     _log_chat_template_content_format(
@@ -1191,21 +1204,27 @@ def parse_chat_messages_futures(
     return conversation, mm_tracker.all_mm_data()
 
 
+@deprecate_kwargs(
+    "trust_remote_code",
+    additional_message="Please use `model_config.trust_remote_code` instead.",
+)
 def apply_hf_chat_template(
-    model_config: ModelConfig,
     tokenizer: Union[PreTrainedTokenizer, PreTrainedTokenizerFast],
     conversation: list[ConversationMessage],
     chat_template: Optional[str],
     tools: Optional[list[dict[str, Any]]],
     *,
+    model_config: ModelConfig,
     tokenize: bool = False,  # Different from HF's default
+    # Deprecated, explicitly capture here so it doesn't slit into kwargs.
+    trust_remote_code: Optional[bool] = None,
     **kwargs: Any,
 ) -> str:
     hf_chat_template = resolve_hf_chat_template(
-        model_config,
         tokenizer,
         chat_template=chat_template,
         tools=tools,
+        model_config=model_config,
     )
 
     if hf_chat_template is None:

vllm/entrypoints/llm.py

@@ -731,11 +731,11 @@ class LLM:
         tokenizer = self.get_tokenizer(lora_request)
         model_config = self.llm_engine.get_model_config()
         resolved_content_format = resolve_chat_template_content_format(
-            model_config,
             chat_template,
             tools,
             chat_template_content_format,
             tokenizer,
+            model_config=model_config,
         )
 
         _chat_template_kwargs: dict[str, Any] = dict(
@@ -767,9 +767,9 @@ class LLM:
                 )
             else:
                 prompt_str = apply_hf_chat_template(
-                    model_config,
+                    tokenizer=tokenizer,
-                    tokenizer,
                     conversation=conversation,
+                    model_config=model_config,
                     **_chat_template_kwargs,
                 )
                 # Special tokens are already included in chat templates so

vllm/entrypoints/openai/api_server.py

@@ -971,10 +971,10 @@ async def init_app_state(
                 chat_template=resolved_chat_template)
         else:
             hf_chat_template = resolve_hf_chat_template(
-                vllm_config.model_config,
+                tokenizer=tokenizer,
-                tokenizer,
                 chat_template=None,
                 tools=None,
+                model_config=vllm_config.model_config,
             )
 
             if hf_chat_template != resolved_chat_template:

vllm/entrypoints/openai/serving_engine.py

@@ -670,11 +670,11 @@ class OpenAIServing:
         model_config = self.model_config
 
         resolved_content_format = resolve_chat_template_content_format(
-            model_config,
             chat_template,
             tool_dicts,
             chat_template_content_format,
             tokenizer,
+            model_config=model_config,
         )
         conversation, mm_data_future = parse_chat_messages_futures(
             messages,
@@ -701,9 +701,9 @@ class OpenAIServing:
             )
         else:
             request_prompt = apply_hf_chat_template(
-                model_config,
+                tokenizer=tokenizer,
-                tokenizer,
                 conversation=conversation,
+                model_config=model_config,
                 **_chat_template_kwargs,
             )