o $i8@sLddlmZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZmZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZdd l m!Z!ddl"m#Z#ddl$m%Z%ddl&m'Z'ddl(m)Z)ddgZ*GdddeZ+GdddeZ,GdddZ-GdddZ.GdddZ/GdddZ0dS)) annotations)UnionIterableOptional)LiteralN)_legacy_response)BodyOmitQueryHeadersNotGivenomit not_given)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)make_request_options)input_token_count_params) ToolParam) Reasoning)ResponseInputItemParam)InputTokenCountResponse InputTokensAsyncInputTokensc@TeZdZed)ddZed*ddZeeeeeeeeeeeddded d+d'd(ZdS),rreturnInputTokensWithRawResponsecCt|Sa This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )r!selfr&g/var/www/html/flask_server/venv/lib/python3.10/site-packages/openai/resources/responses/input_tokens.pywith_raw_responsezInputTokens.with_raw_response InputTokensWithStreamingResponsecCr"z An alternative to `.with_raw_response` that doesn't eagerly read the response body. For more information, see https://www.github.com/openai/openai-python#with_streaming_response )r*r$r&r&r'with_streaming_response%z#InputTokens.with_streaming_responseN conversationinput instructionsmodelparallel_tool_callsprevious_response_id reasoningtext tool_choicetools truncation extra_headers extra_query extra_bodytimeoutr/6Optional[input_token_count_params.Conversation] | Omitr09Union[str, Iterable[ResponseInputItemParam], None] | Omitr1Optional[str] | Omitr2r3Optional[bool] | Omitr4r5Optional[Reasoning] | Omitr6.Optional[input_token_count_params.Text] | Omitr74Optional[input_token_count_params.ToolChoice] | Omitr8$Optional[Iterable[ToolParam]] | Omitr9"Literal['auto', 'disabled'] | Omitr:Headers | Noner; Query | Noner< Body | Noner='float | httpx.Timeout | None | NotGivenrcCs>|jdt||||||||| | | d tjt| | ||dtdS) Get input token counts Args: conversation: The conversation that this response belongs to. Items from this conversation are prepended to `input_items` for this response request. Input items and output items from this response are automatically added to this conversation after this response completes. input: Text, image, or file inputs to the model, used to generate a response instructions: A system (or developer) message inserted into the model's context. When used along with `previous_response_id`, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses. model: Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) to browse and compare available models. parallel_tool_calls: Whether to allow the model to run tool calls in parallel. previous_response_id: The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about [conversation state](https://platform.openai.com/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`. reasoning: **gpt-5 and o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). text: Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more: - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) tool_choice: How the model should select which tool (or tools) to use when generating a response. See the `tools` parameter to see how to specify which tools the model can call. tools: An array of tools the model may call while generating a response. You can specify which tool to use by setting the `tool_choice` parameter. truncation: The truncation strategy to use for the model response. - `auto`: If the input to this Response exceeds the model's context window size, the model will truncate the response to fit the context window by dropping items from the beginning of the conversation. - `disabled` (default): If the input size will exceed the context window size for a model, the request will fail with a 400 error. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds /responses/input_tokens r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=bodyoptionscast_to)_postrrInputTokenCountParamsrrr%r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r&r&r'count.s,P zInputTokens.count)r r!)r r* r/r>r0r?r1r@r2r@r3rAr4r@r5rBr6rCr7rDr8rEr9rFr:rGr;rHr<rIr=rJr r __name__ __module__ __qualname__rr(r,rrrVr&r&r&r'r*   c@r),rr AsyncInputTokensWithRawResponsecCr"r#)r]r$r&r&r'r(r)z"AsyncInputTokens.with_raw_response%AsyncInputTokensWithStreamingResponsecCr"r+)r^r$r&r&r'r,r-z(AsyncInputTokens.with_streaming_responseNr.r/r>r0r?r1r@r2r3rAr4r5rBr6rCr7rDr8rEr9rFr:rGr;rHr<rIr=rJrcsL|jdt||||||||| | | d tjIdHt| | ||dtdIdHS)rKrLrMNrNrO)rSrrrTrrrUr&r&r'rVs.P  zAsyncInputTokens.count)r r])r r^rWrXr&r&r&r'rr\c@eZdZdddZdS) r! input_tokensrr NonecC||_t|j|_dSN) _input_tokensrto_raw_response_wrapperrVr%r`r&r&r'__init__ z#InputTokensWithRawResponse.__init__Nr`rr rarYrZr[rgr&r&r&r'r!r!c@r_) r]r`rr racCrbrc)rdrasync_to_raw_response_wrapperrVrfr&r&r'rgrhz(AsyncInputTokensWithRawResponse.__init__Nr`rr rarjr&r&r&r'r]rkr]c@r_) r*r`rr racC||_t|j|_dSrc)rdrrVrfr&r&r'rg' z)InputTokensWithStreamingResponse.__init__Nrirjr&r&r&r'r*&rkr*c@r_) r^r`rr racCrnrc)rdrrVrfr&r&r'rg0roz.AsyncInputTokensWithStreamingResponse.__init__Nrmrjr&r&r&r'r^/rkr^)1 __future__rtypingrrrtyping_extensionsrhttpxr_typesr r r r r rr_utilsrr_compatr _resourcerr _responserr _base_clientrtypes.responsesrtypes.responses.tool_paramrtypes.shared_params.reasoningr)types.responses.response_input_item_paramr*types.responses.input_token_count_responser__all__rrr!r]r*r^r&r&r&r's.   $       }}