src/openai/resources/beta/threads/runs/runs.py [2348:2392]:
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        response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN,
        temperature: Optional[float] | NotGiven = NOT_GIVEN,
        tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
        tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
        top_p: Optional[float] | NotGiven = NOT_GIVEN,
        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
        thread_id: str,
        event_handler: AsyncAssistantEventHandlerT | None = None,
        # 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,
    ) -> (
        AsyncAssistantStreamManager[AsyncAssistantEventHandler]
        | AsyncAssistantStreamManager[AsyncAssistantEventHandlerT]
    ):
        """Create a Run stream"""
        if not thread_id:
            raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")

        extra_headers = {
            "OpenAI-Beta": "assistants=v2",
            "X-Stainless-Stream-Helper": "threads.runs.create_and_stream",
            "X-Stainless-Custom-Event-Handler": "true" if event_handler else "false",
            **(extra_headers or {}),
        }
        request = self._post(
            f"/threads/{thread_id}/runs",
            body=maybe_transform(
                {
                    "assistant_id": assistant_id,
                    "additional_instructions": additional_instructions,
                    "additional_messages": additional_messages,
                    "instructions": instructions,
                    "max_completion_tokens": max_completion_tokens,
                    "max_prompt_tokens": max_prompt_tokens,
                    "metadata": metadata,
                    "model": model,
                    "response_format": response_format,
                    "temperature": temperature,
                    "tool_choice": tool_choice,
                    "stream": True,
                    "tools": tools,
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src/openai/resources/beta/threads/runs/runs.py [2531:2575]:
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        response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN,
        temperature: Optional[float] | NotGiven = NOT_GIVEN,
        tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
        tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
        top_p: Optional[float] | NotGiven = NOT_GIVEN,
        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
        thread_id: str,
        event_handler: AsyncAssistantEventHandlerT | None = None,
        # 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,
    ) -> (
        AsyncAssistantStreamManager[AsyncAssistantEventHandler]
        | AsyncAssistantStreamManager[AsyncAssistantEventHandlerT]
    ):
        """Create a Run stream"""
        if not thread_id:
            raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")

        extra_headers = {
            "OpenAI-Beta": "assistants=v2",
            "X-Stainless-Stream-Helper": "threads.runs.create_and_stream",
            "X-Stainless-Custom-Event-Handler": "true" if event_handler else "false",
            **(extra_headers or {}),
        }
        request = self._post(
            f"/threads/{thread_id}/runs",
            body=maybe_transform(
                {
                    "assistant_id": assistant_id,
                    "additional_instructions": additional_instructions,
                    "additional_messages": additional_messages,
                    "instructions": instructions,
                    "max_completion_tokens": max_completion_tokens,
                    "max_prompt_tokens": max_prompt_tokens,
                    "metadata": metadata,
                    "model": model,
                    "response_format": response_format,
                    "temperature": temperature,
                    "tool_choice": tool_choice,
                    "stream": True,
                    "tools": tools,
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