[Refactor] [2/N] Move tool parsers into the vLLM main directory (#30675)

Signed-off-by: chaunceyjiang <[email protected]>

Author: chaunceyjiang

docs/features/tool_calling.md

@@ -420,7 +420,7 @@ Flags: `--tool-call-parser pythonic --chat-template {see_above}`
 
 ## How to Write a Tool Parser Plugin
 
-A tool parser plugin is a Python file containing one or more ToolParser implementations. You can write a ToolParser similar to the `Hermes2ProToolParser` in [vllm/entrypoints/openai/tool_parsers/hermes_tool_parser.py](../../vllm/entrypoints/openai/tool_parsers/hermes_tool_parser.py).
+A tool parser plugin is a Python file containing one or more ToolParser implementations. You can write a ToolParser similar to the `Hermes2ProToolParser` in [vllm/tool_parsers/hermes_tool_parser.py](../../vllm/tool_parsers/hermes_tool_parser.py).
 
 Here is a summary of a plugin file:
 
@@ -468,7 +468,7 @@ Here is a summary of a plugin file:
     # register the tool parser to ToolParserManager
     ToolParserManager.register_lazy_module(
         name="example",
-        module_path="vllm.entrypoints.openai.tool_parsers.example",
+        module_path="vllm.tool_parsers.example",
         class_name="ExampleToolParser",
     )
 

tests/entrypoints/openai/test_serving_chat.py

@@ -19,9 +19,9 @@
 )
 from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
 from vllm.entrypoints.openai.serving_models import BaseModelPath, OpenAIServingModels
-from vllm.entrypoints.openai.tool_parsers import ToolParserManager
 from vllm.outputs import CompletionOutput, RequestOutput
 from vllm.tokenizers import get_tokenizer
+from vllm.tool_parsers import ToolParserManager
 from vllm.v1.engine.async_llm import AsyncLLM
 
 from ...utils import RemoteOpenAIServer

tests/entrypoints/openai/tool_parsers/test_gigachat3_tool_parser.py

@@ -10,8 +10,8 @@
     run_tool_extraction_streaming,
 )
 from vllm.entrypoints.openai.protocol import FunctionCall
-from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers import ToolParser, ToolParserManager
 
 SIMPLE_ARGS_DICT = {
     "action": "create",

tests/entrypoints/openai/tool_parsers/test_hermes_tool_parser.py

@@ -6,8 +6,8 @@
 import pytest
 
 from vllm.entrypoints.openai.protocol import ChatCompletionRequest
-from vllm.entrypoints.openai.tool_parsers.hermes_tool_parser import Hermes2ProToolParser
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers.hermes_tool_parser import Hermes2ProToolParser
 
 from ....utils import RemoteOpenAIServer
 

tests/entrypoints/openai/tool_parsers/test_hunyuan_a13b_tool_parser.py

@@ -12,7 +12,7 @@
     run_tool_extraction_streaming,
 )
 from vllm.entrypoints.openai.protocol import FunctionCall, ToolCall
-from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
+from vllm.tool_parsers import ToolParser, ToolParserManager
 
 
 def make_tool_call(name, arguments):

tests/entrypoints/openai/tool_parsers/test_llama3_json_tool_parser.py

@@ -6,8 +6,8 @@
 import pytest
 
 from vllm.entrypoints.openai.protocol import ExtractedToolCallInformation
-from vllm.entrypoints.openai.tool_parsers.llama_tool_parser import Llama3JsonToolParser
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers.llama_tool_parser import Llama3JsonToolParser
 
 
 @pytest.fixture

tests/entrypoints/openai/tool_parsers/test_llama4_pythonic_tool_parser.py

@@ -10,8 +10,8 @@
     run_tool_extraction_streaming,
 )
 from vllm.entrypoints.openai.protocol import FunctionCall
-from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers import ToolParser, ToolParserManager
 
 # Test cases similar to pythonic parser but with Llama4 specific format
 SIMPLE_FUNCTION_OUTPUT = "[get_weather(city='LA', metric='C')]"

tests/entrypoints/openai/tool_parsers/test_olmo3_tool_parser.py

@@ -10,8 +10,8 @@
     run_tool_extraction_streaming,
 )
 from vllm.entrypoints.openai.protocol import FunctionCall
-from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers import ToolParser, ToolParserManager
 
 # https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/text_prompt_format.md#model-response-format-1
 SIMPLE_FUNCTION_OUTPUT = "get_weather(city='San Francisco', metric='celsius')"

tests/entrypoints/openai/tool_parsers/test_pythonic_tool_parser.py

@@ -10,8 +10,8 @@
     run_tool_extraction_streaming,
 )
 from vllm.entrypoints.openai.protocol import FunctionCall
-from vllm.entrypoints.openai.tool_parsers import ToolParser, ToolParserManager
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers import ToolParser, ToolParserManager
 
 # https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/text_prompt_format.md#model-response-format-1
 SIMPLE_FUNCTION_OUTPUT = "get_weather(city='San Francisco', metric='celsius')"

tests/entrypoints/openai/tool_parsers/utils.py

@@ -10,8 +10,8 @@
     FunctionCall,
     ToolCall,
 )
-from vllm.entrypoints.openai.tool_parsers import ToolParser
 from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers import ToolParser
 
 
 class StreamingToolReconstructor: