[Frontend] OpenAI Responses API supports Tool/Function calling

Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>

[Frontend] OpenAI Responses API supports Tool/Function calling

Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>

Author: chaunceyjiang

tests/v1/entrypoints/openai/responses/conftest.py

@@ -6,7 +6,7 @@
 from tests.utils import RemoteOpenAIServer
 
 # Use a small reasoning model to test the responses API.
-MODEL_NAME = "Qwen/Qwen3-1.7B"
+MODEL_NAME = "Qwen/Qwen3-0.6B"
 
 
 @pytest.fixture(scope="module")

tests/v1/entrypoints/openai/responses/test_function_call.py

@@ -6,7 +6,7 @@
 import openai  # use the official client for correctness check
 import pytest
 
-MODEL_NAME = "Qwen/Qwen3-1.7B"
+MODEL_NAME = "Qwen/Qwen3-0.6B"
 tools = [
     {
         "type": "function",

vllm/entrypoints/openai/serving_responses.py

@@ -350,7 +350,9 @@ async def responses_full_generator(
                 outputs.append(reasoning_item)
             if message_item:
                 outputs.append(message_item)
-        elif request.tool_choice is None or request.tool_choice == "none":
+        elif (request.tool_choice == "none" and \
+            not self.expand_tools_even_if_tool_choice_none) or \
+                request.tool_choice is None:
             # No tool calls.
             if reasoning_item:
                 outputs.append(reasoning_item)
@@ -372,7 +374,7 @@ async def responses_full_generator(
                                                   ensure_ascii=False))
                 for tool_call in tool_calls
             ])
-        elif request.tool_choice == "auto":
+        elif request.tool_choice == "auto" or request.tool_choice == "none":
             try:
                 tool_parser = self.tool_parser(tokenizer)
             except RuntimeError as e:
@@ -381,6 +383,7 @@ async def responses_full_generator(
             tool_call_info = tool_parser.extract_tool_calls(
                 content if content is not None else "", request=request)
             if tool_call_info is not None and tool_call_info.tools_called:
+                # extract_tool_calls() returns a list of tool calls.
                 function_calls.extend(
                     FunctionCall(
                         name=tool_call.function.name,
@@ -476,6 +479,7 @@ def _construct_input_messages(
         else:
             for item in request.input:
                 if item.get("type") == "function_call":
+                    # Append the function call as a tool call.
                     messages.append({
                         "role":
                         "assistant",
@@ -489,6 +493,7 @@ def _construct_input_messages(
                         }]
                     })
                 elif item.get("type") == "function_call_output":
+                    # Append the function call output as a tool message.
                     messages.append({
                         "role": "tool",
                         "content": item.get("output", ""),