src/openai/resources/responses/responses.py [779:823]:
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        self,
        *,
        input: Union[str, ResponseInputParam],
        model: Union[str, ChatModel],
        text_format: type[TextFormatT] | NotGiven = NOT_GIVEN,
        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
        include: Optional[List[ResponseIncludable]] | NotGiven = NOT_GIVEN,
        instructions: Optional[str] | NotGiven = NOT_GIVEN,
        max_output_tokens: Optional[int] | NotGiven = NOT_GIVEN,
        metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
        parallel_tool_calls: Optional[bool] | NotGiven = NOT_GIVEN,
        previous_response_id: Optional[str] | NotGiven = NOT_GIVEN,
        reasoning: Optional[Reasoning] | NotGiven = NOT_GIVEN,
        store: Optional[bool] | NotGiven = NOT_GIVEN,
        stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
        temperature: Optional[float] | NotGiven = NOT_GIVEN,
        text: ResponseTextConfigParam | NotGiven = NOT_GIVEN,
        tool_choice: response_create_params.ToolChoice | NotGiven = NOT_GIVEN,
        top_p: Optional[float] | NotGiven = NOT_GIVEN,
        truncation: Optional[Literal["auto", "disabled"]] | NotGiven = NOT_GIVEN,
        user: str | NotGiven = NOT_GIVEN,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
    ) -> ParsedResponse[TextFormatT]:
        if is_given(text_format):
            if not text:
                text = {}

            if "format" in text:
                raise TypeError("Cannot mix and match text.format with text_format")

            text["format"] = _type_to_text_format_param(text_format)

        tools = _make_tools(tools)

        def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
            return parse_response(
                input_tools=tools,
                text_format=text_format,
                response=raw_response,
            )
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src/openai/resources/responses/responses.py [1666:1710]:
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        self,
        *,
        input: Union[str, ResponseInputParam],
        model: Union[str, ChatModel],
        text_format: type[TextFormatT] | NotGiven = NOT_GIVEN,
        tools: Iterable[ParseableToolParam] | NotGiven = NOT_GIVEN,
        include: Optional[List[ResponseIncludable]] | NotGiven = NOT_GIVEN,
        instructions: Optional[str] | NotGiven = NOT_GIVEN,
        max_output_tokens: Optional[int] | NotGiven = NOT_GIVEN,
        metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
        parallel_tool_calls: Optional[bool] | NotGiven = NOT_GIVEN,
        previous_response_id: Optional[str] | NotGiven = NOT_GIVEN,
        reasoning: Optional[Reasoning] | NotGiven = NOT_GIVEN,
        store: Optional[bool] | NotGiven = NOT_GIVEN,
        stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
        temperature: Optional[float] | NotGiven = NOT_GIVEN,
        text: ResponseTextConfigParam | NotGiven = NOT_GIVEN,
        tool_choice: response_create_params.ToolChoice | NotGiven = NOT_GIVEN,
        top_p: Optional[float] | NotGiven = NOT_GIVEN,
        truncation: Optional[Literal["auto", "disabled"]] | NotGiven = NOT_GIVEN,
        user: str | NotGiven = NOT_GIVEN,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
    ) -> ParsedResponse[TextFormatT]:
        if is_given(text_format):
            if not text:
                text = {}

            if "format" in text:
                raise TypeError("Cannot mix and match text.format with text_format")

            text["format"] = _type_to_text_format_param(text_format)

        tools = _make_tools(tools)

        def parser(raw_response: Response) -> ParsedResponse[TextFormatT]:
            return parse_response(
                input_tools=tools,
                text_format=text_format,
                response=raw_response,
            )
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