vllm.entrypoints.responses_utils ¶

def construct_chat_message_with_tool_call(
    item: ResponseInputOutputItem,
) -> ChatCompletionMessageParam:
    if isinstance(item, ResponseFunctionToolCall):
        # Append the function call as a tool call.
        return ChatCompletionAssistantMessageParam(
            role="assistant",
            tool_calls=[
                ChatCompletionMessageToolCallParam(
                    id=item.call_id,
                    function=FunctionCallTool(
                        name=item.name,
                        arguments=item.arguments,
                    ),
                    type="function",
                )
            ],
        )
    elif item.get("type") == "function_call_output":
        # Append the function call output as a tool message.
        return ChatCompletionToolMessageParam(
            role="tool",
            content=item.get("output"),
            tool_call_id=item.get("call_id"),
        )
    return item  # type: ignore