src/agents/extensions/models/litellm_model.py [129:148]:
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            return ModelResponse(
                output=items,
                usage=usage,
                response_id=None,
            )

    async def stream_response(
        self,
        system_instructions: str | None,
        input: str | list[TResponseInputItem],
        model_settings: ModelSettings,
        tools: list[Tool],
        output_schema: AgentOutputSchemaBase | None,
        handoffs: list[Handoff],
        tracing: ModelTracing,
        *,
        previous_response_id: str | None,
    ) -> AsyncIterator[TResponseStreamEvent]:
        with generation_span(
            model=str(self.model),
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src/agents/models/openai_chatcompletions.py [99:121]:
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            return ModelResponse(
                output=items,
                usage=usage,
                response_id=None,
            )

    async def stream_response(
        self,
        system_instructions: str | None,
        input: str | list[TResponseInputItem],
        model_settings: ModelSettings,
        tools: list[Tool],
        output_schema: AgentOutputSchemaBase | None,
        handoffs: list[Handoff],
        tracing: ModelTracing,
        *,
        previous_response_id: str | None,
    ) -> AsyncIterator[TResponseStreamEvent]:
        """
        Yields a partial message as it is generated, as well as the usage information.
        """
        with generation_span(
            model=str(self.model),
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