# SPDX-License-Identifier: Apache-2.0 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project import pytest from openai.types.responses.response_function_tool_call_output_item import ( ResponseFunctionToolCallOutputItem, ) from openai.types.responses.response_output_message import ResponseOutputMessage from openai.types.responses.response_output_text import ResponseOutputText from openai.types.responses.response_reasoning_item import ( Content, ResponseReasoningItem, Summary, ) from vllm.entrypoints.responses_utils import ( construct_chat_message_with_tool_call, convert_tool_responses_to_completions_format, ) class TestResponsesUtils: """Tests for convert_tool_responses_to_completions_format function.""" def test_convert_tool_responses_to_completions_format(self): """Test basic conversion of a flat tool schema to nested format.""" input_tool = { "type": "function", "name": "get_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": {"type": "string"}, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, "required": ["location", "unit"], }, } result = convert_tool_responses_to_completions_format(input_tool) assert result == {"type": "function", "function": input_tool} def test_construct_chat_message_with_tool_call(self): item = ResponseReasoningItem( id="lol", summary=[], type="reasoning", content=[ Content( text="Leroy Jenkins", type="reasoning_text", ) ], encrypted_content=None, status=None, ) formatted_item = construct_chat_message_with_tool_call(item) assert formatted_item["role"] == "assistant" assert formatted_item["reasoning"] == "Leroy Jenkins" item = ResponseReasoningItem( id="lol", summary=[ Summary( text='Hmm, the user has just started with a simple "Hello,"', type="summary_text", ) ], type="reasoning", content=None, encrypted_content=None, status=None, ) formatted_item = construct_chat_message_with_tool_call(item) assert formatted_item["role"] == "assistant" assert ( formatted_item["reasoning"] == 'Hmm, the user has just started with a simple "Hello,"' ) tool_call_output = ResponseFunctionToolCallOutputItem( id="temp_id", type="function_call_output", call_id="temp", output="1234", status="completed", ) formatted_item = construct_chat_message_with_tool_call(tool_call_output) assert formatted_item["role"] == "tool" assert formatted_item["content"] == "1234" assert formatted_item["tool_call_id"] == "temp" item = ResponseReasoningItem( id="lol", summary=[], type="reasoning", content=None, encrypted_content="TOP_SECRET_MESSAGE", status=None, ) with pytest.raises(ValueError): construct_chat_message_with_tool_call(item) output_item = ResponseOutputMessage( id="msg_bf585bbbe3d500e0", content=[ ResponseOutputText( annotations=[], text="dongyi", type="output_text", logprobs=None, ) ], role="assistant", status="completed", type="message", ) formatted_item = construct_chat_message_with_tool_call(output_item) assert formatted_item["role"] == "assistant" assert formatted_item["content"] == "dongyi"