o "ch8@sBddlmZddlmZmZmZmZmZmZm Z ddl m Z ddl m Z mZddlZddlmZddlmZmZmZmZmZmZdd lmZmZmZdd lmZdd lm Z m!Z!dd l"m#Z#m$Z$d dl%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+ddl,m-Z-m.Z.ddl/m0Z0m1Z1ddl2m3Z3ddl4m5Z5m6Z6ddl7m8Z8m9Z9m:Z;ddlm?Z?ddl@mAZAmBZBddlCmDZDddlEmFZFddlGmHZHddlImJZJmKZKddlLmMZMddlNmOZOddlPmQZQddlRmSZSddlTmUZUdd lVmWZWd!d"gZXGd#d!d!e ZYGd$d"d"e!ZZGd%d&d&Z[Gd'd(d(Z\Gd)d*d*Z]Gd+d,d,Z^d3d1d2Z_dS)4) annotations)AnyListTypeUnionIterableOptionalcast)partial)LiteraloverloadN)_legacy_response) NOT_GIVENBodyQueryHeadersNoneTypeNotGiven)is_givenmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper) InputItemsAsyncInputItemsInputItemsWithRawResponseAsyncInputItemsWithRawResponseInputItemsWithStreamingResponse$AsyncInputItemsWithStreamingResponse)Stream AsyncStream)PydanticFunctionToolResponsesPydanticFunctionTool)make_request_options)response_create_paramsresponse_retrieve_params) TextFormatTparse_responsetype_to_text_format_param) ChatModel)Response) ToolParamParseableToolParam)Metadata) Reasoning)ParsedResponse)ResponseStreamManagerAsyncResponseStreamManager)ResponseIncludable)ResponsesModel)ResponseInputParam)ResponsePromptParam)ResponseStreamEvent)ResponseTextConfigParam ResponsesAsyncResponsesc@"eZdZedtddZeduddZedvd d Zeeeeeeeeeeeeeeeeeeeeeeeed d d ed dwd>d?Z eeeeeeeeeeeeeeeeeeeeeeed d d ed@dxdCd?Z eeeeeeeeeeeeeeeeeeeeeeed d d ed@dydFd?Z eeeeeeeeeeeeeeeeeeeeeeed d d ed dzdHd?Z eeeed d d edId{dRdSZ eeeeeeeeeeeeeeeeeed d d edTd|dWdSZ eeeeeeeeeeeeeeeeeeeeed d d edXd}dZdSZ eeeeeeeeeeeeeeeeed d d ed[d~d]d^Z eeeed d d ed_ddbdcZ eeed d d eddddedcZ eeed d d eddddfdcZ edgeed d d edhddidcZ eeed d d eddddjdcZ eeed d d eddddkdcZ eeed d d ed_ddmdcZ d d d ednddpdqZ d d d ednddrdsZd S)r=returnrcC t|jSN)r_clientselfrFb/home/air/goalskill/back/venv/lib/python3.10/site-packages/openai/resources/responses/responses.py input_items4 zResponses.input_itemsResponsesWithRawResponsecCt|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 )rJrDrFrFrGwith_raw_response8zResponses.with_raw_responseResponsesWithStreamingResponsecCrKz 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 )rOrDrFrFrGwith_streaming_responseBz!Responses.with_streaming_responseN backgroundincludeinput instructionsmax_output_tokensmax_tool_callsmetadatamodelparallel_tool_callsprevious_response_idprompt reasoning service_tierstorestream temperaturetext tool_choicetools top_logprobstop_p truncationuser extra_headers extra_query extra_bodytimeoutrTOptional[bool] | NotGivenrU-Optional[List[ResponseIncludable]] | NotGivenrV)Union[str, ResponseInputParam] | NotGivenrWOptional[str] | NotGivenrXOptional[int] | NotGivenrYrZOptional[Metadata] | NotGivenr[ResponsesModel | NotGivenr\r]r^(Optional[ResponsePromptParam] | NotGivenr_Optional[Reasoning] | NotGivenr`LOptional[Literal['auto', 'default', 'flex', 'scale', 'priority']] | NotGivenrarb#Optional[Literal[False]] | NotGivenrcOptional[float] | NotGivenrd"ResponseTextConfigParam | NotGivenre,response_create_params.ToolChoice | NotGivenrfIterable[ToolParam] | NotGivenrgrhri0Optional[Literal['auto', 'disabled']] | NotGivenrjstr | NotGivenrkHeaders | Nonerl Query | Nonerm Body | Nonern'float | httpx.Timeout | None | NotGivenr/cCdSaQ'Creates a model response. Provide [text](https://platform.openai.com/docs/guides/text) or [image](https://platform.openai.com/docs/guides/images) inputs to generate [text](https://platform.openai.com/docs/guides/text) or [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have the model call your own [custom code](https://platform.openai.com/docs/guides/function-calling) or use built-in [tools](https://platform.openai.com/docs/guides/tools) like [web search](https://platform.openai.com/docs/guides/tools-web-search) or [file search](https://platform.openai.com/docs/guides/tools-file-search) to use your own data as input for the model's response. Args: background: Whether to run the model response in the background. [Learn more](https://platform.openai.com/docs/guides/background). include: Specify additional output data to include in the model response. Currently supported values are: - `code_interpreter_call.outputs`: Includes the outputs of python code execution in code interpreter tool call items. - `computer_call_output.output.image_url`: Include image urls from the computer call output. - `file_search_call.results`: Include the search results of the file search tool call. - `message.input_image.image_url`: Include image urls from the input message. - `message.output_text.logprobs`: Include logprobs with assistant messages. - `reasoning.encrypted_content`: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the `store` parameter is set to `false`, or when an organization is enrolled in the zero data retention program). input: Text, image, or file inputs to the model, used to generate a response. Learn more: - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - [Image inputs](https://platform.openai.com/docs/guides/images) - [File inputs](https://platform.openai.com/docs/guides/pdf-files) - [Conversation state](https://platform.openai.com/docs/guides/conversation-state) - [Function calling](https://platform.openai.com/docs/guides/function-calling) instructions: A system (or developer) message inserted into the model's context. When using 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. max_output_tokens: An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). max_tool_calls: The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. 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). prompt: Reference to a prompt template and its variables. [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). reasoning: **o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). service_tier: Specifies the processing type used for serving the request. - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. - If set to 'default', then the requset will be processed with the standard pricing and performance for the selected model. - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or 'priority', then the request will be processed with the corresponding service tier. [Contact sales](https://openai.com/contact-sales) to learn more about Priority processing. - When not set, the default behavior is 'auto'. When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. store: Whether to store the generated model response for later retrieval via API. stream: If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) for more information. temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. 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. The two categories of tools you can provide the model are: - **Built-in tools**: Tools that are provided by OpenAI that extend the model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about [built-in tools](https://platform.openai.com/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you, enabling the model to call your own code. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). top_logprobs: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. top_p: An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. truncation: The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. - `disabled` (default): If a model response will exceed the context window size for a model, the request will fail with a 400 error. user: A stable identifier for your end-users. Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 NrFrErTrUrVrWrXrYrZr[r\r]r^r_r`rarbrcrdrerfrgrhrirjrkrlrmrnrFrFrGcreateKPzResponses.createrTrUrVrWrXrYrZr[r\r]r^r_r`rarcrdrerfrgrhrirjrkrlrmrn Literal[True]Stream[ResponseStreamEvent]cCraQ'Creates a model response. Provide [text](https://platform.openai.com/docs/guides/text) or [image](https://platform.openai.com/docs/guides/images) inputs to generate [text](https://platform.openai.com/docs/guides/text) or [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have the model call your own [custom code](https://platform.openai.com/docs/guides/function-calling) or use built-in [tools](https://platform.openai.com/docs/guides/tools) like [web search](https://platform.openai.com/docs/guides/tools-web-search) or [file search](https://platform.openai.com/docs/guides/tools-file-search) to use your own data as input for the model's response. Args: stream: If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) for more information. background: Whether to run the model response in the background. [Learn more](https://platform.openai.com/docs/guides/background). include: Specify additional output data to include in the model response. Currently supported values are: - `code_interpreter_call.outputs`: Includes the outputs of python code execution in code interpreter tool call items. - `computer_call_output.output.image_url`: Include image urls from the computer call output. - `file_search_call.results`: Include the search results of the file search tool call. - `message.input_image.image_url`: Include image urls from the input message. - `message.output_text.logprobs`: Include logprobs with assistant messages. - `reasoning.encrypted_content`: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the `store` parameter is set to `false`, or when an organization is enrolled in the zero data retention program). input: Text, image, or file inputs to the model, used to generate a response. Learn more: - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - [Image inputs](https://platform.openai.com/docs/guides/images) - [File inputs](https://platform.openai.com/docs/guides/pdf-files) - [Conversation state](https://platform.openai.com/docs/guides/conversation-state) - [Function calling](https://platform.openai.com/docs/guides/function-calling) instructions: A system (or developer) message inserted into the model's context. When using 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. max_output_tokens: An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). max_tool_calls: The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. 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). prompt: Reference to a prompt template and its variables. [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). reasoning: **o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). service_tier: Specifies the processing type used for serving the request. - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. - If set to 'default', then the requset will be processed with the standard pricing and performance for the selected model. - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or 'priority', then the request will be processed with the corresponding service tier. [Contact sales](https://openai.com/contact-sales) to learn more about Priority processing. - When not set, the default behavior is 'auto'. When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. store: Whether to store the generated model response for later retrieval via API. temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. 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. The two categories of tools you can provide the model are: - **Built-in tools**: Tools that are provided by OpenAI that extend the model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about [built-in tools](https://platform.openai.com/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you, enabling the model to call your own code. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). top_logprobs: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. top_p: An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. truncation: The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. - `disabled` (default): If a model response will exceed the context window size for a model, the request will fail with a 400 error. user: A stable identifier for your end-users. Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 NrFrErbrTrUrVrWrXrYrZr[r\r]r^r_r`rarcrdrerfrgrhrirjrkrlrmrnrFrFrGrrbool&Response | Stream[ResponseStreamEvent]cCrrrFrrFrFrGrr3Optional[Literal[False]] | Literal[True] | NotGivenc Cs|jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d|||||||d|rFtjntjt||||dt|pTdttdSN /responsesrTrUrVrWrXrYrZr[r\r]r^r_r`rarbrcrd)rerfrgrhrirjrkrlrmrnF)bodyoptionscast_torb stream_cls) _postrr)ResponseCreateParamsStreaming ResponseCreateParamsNonStreamingr(r/r$r;rrFrFrGrsp!     ۩ text_formatstarting_afterrfrkrlrmrn response_idstrrtype[TextFormatT] | NotGivenrint | NotGiven'Iterable[ParseableToolParam] | NotGiven"ResponseStreamManager[TextFormatT]c CdSrBrF rErrrrfrkrlrmrnrFrFrGrb zResponses.streamrTrrfrUrWrXrZr\r]r_rarcrdrerhrirjrkrlrmrnUnion[str, ResponseInputParam]Union[str, ChatModel]cCrrBrFrErVr[rTrrfrUrWrXrZr\r]r_rarcrdrerhrirjrkrlrmrnrFrFrGrbrrVr[rTrrfrUrWrXrZr\r]r_rarcrdrerhrirjrrkrlrmrn Union[str, ChatModel] | NotGivencsid|d|dd|d| d| d| d| d | d |d |d |d |d|d|d|d|}dd|D}tsFt|rUt|dkrUtdd|t|}t|dkrt|sgtdt|sotdt|r|swi}d|vrtdt||d<tj fid|d|d|dd|d| d| d| d| d |ddd |d |d |d | d|d|d|d|ddd d!}t |||dd"Ststd#t fd$d%||t|r|d"Sdd"S)&NrVr[rUrWrXrZr\r]r_rarcrdrerhrirjrTcSg|] \}}t|r|qSrFr.0kvrFrFrG gz$Responses.stream..rOCannot provide both response_id/starting_after can't be provided together with , 3input must be provided when creating a new response3model must be provided when creating a new responseformat1Cannot mix and match text.format with text_formatrfrbTrkrlrmrnr input_toolsrz7id must be provided when streaming an existing responsec sjdpgtdS)NT)rrbrUrkrlrmrrn)retrieverrFrmrkrlrUrrErnrFrGsz"Responses.stream..) itemsrlen ValueErrorjoin _make_tools TypeError_type_to_text_format_paramr rr5rErrVr[rTrrfrUrWrXrZr\r]r_rarcrdrerhrirjrrkrlrmrnnew_response_argsnew_response_args_names api_requestrFrrGrb5s               rrfrUrWrXrZr\r]r_rarbrcrdrerhrirjrkrlrmrnParsedResponse[TextFormatT]c str|si}d|vrtdt|d<tdfdd }|jd tid |d |d |d |d|d|d| d| d| d| d| d|d|d|dd|d|d|itjt|||||dt t t t t dS)Nrr raw_responser/r@rct|dSN)rrresponser,rrrfrFrGparser zResponses.parse..parserrrVr[rUrWrXrZr\r]r_rarbrcrdrerfrhrirjrkrlrmrn post_parserrrrrr/r@rrrrrrrr)ResponseCreateParamsr(r rr4r+r/rErVr[rrfrUrWrXrZr\r]r_rarbrcrdrerhrirjrkrlrmrnrrFrrGparsesv       zResponses.parserUrrbrkrlrmrn#List[ResponseIncludable] | NotGivenLiteral[False] | NotGivenc CrrBrF rErrUrrbrkrlrmrnrFrFrGrzResponses.retrieverUrrkrlrmrnc CrrBrF rErrbrUrrkrlrmrnrFrFrGrrc CrrBrFrrFrFrGr#rFrbrUrrkrlrmrnc Cra Retrieves a model response with the given ID. Args: include: Additional fields to include in the response. See the `include` parameter for Response creation above for more information. starting_after: The sequence number of the event after which to start streaming. stream: If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) for more information. 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 NrFrrFrFrGr3'c Cra Retrieves a model response with the given ID. Args: stream: If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) for more information. include: Additional fields to include in the response. See the `include` parameter for Response creation above for more information. starting_after: The sequence number of the event after which to start streaming. 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 NrFrrFrFrGr\rc CrrrFrrFrFrGrr)Literal[False] | Literal[True] | NotGivenc CsR|s td||jd|t||||t|||dtjdt|p#dttdSN:Expected a non-empty value for `response_id` but received /responses/)rUrrb)rkrlrmrnqueryF)rrrbr) r_getr(rr*ResponseRetrieveParamsr/r$r;rrFrFrGrs*rNonecCsD|s td|ddi|pi}|jd|t||||dtdS)_ Deletes a model response with the given ID. Args: 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 rAccept*/*rrrrr_deleter(rrErrkrlrmrnrFrFrGdeleteszResponses.deletecCs6|s td||jd|dt||||dtdS)Cancels a model response with the given ID. Only responses created with the `background` parameter set to `true` can be cancelled. [Learn more](https://platform.openai.com/docs/guides/background). Args: 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 rr/cancelrrrrr(r/rrFrFrGcancels zResponses.cancel)r@r)r@rJ)r@rO8rTrorUrprVrqrWrrrXrsrYrsrZrtr[rur\ror]rrr^rvr_rwr`rxrarorbryrcrzrdr{rer|rfr}rgrsrhrzrir~rjrrkrrlrrmrrnrr@r/)8rbrrTrorUrprVrqrWrrrXrsrYrsrZrtr[rur\ror]rrr^rvr_rwr`rxrarorcrzrdr{rer|rfr}rgrsrhrzrir~rjrrkrrlrrmrrnrr@r)8rbrrTrorUrprVrqrWrrrXrsrYrsrZrtr[rur\ror]rrr^rvr_rwr`rxrarorcrzrdr{rer|rfr}rgrsrhrzrir~rjrrkrrlrrmrrnrr@r)8rTrorUrprVrqrWrrrXrsrYrsrZrtr[rur\ror]rrr^rvr_rwr`rxrarorbrrcrzrdr{rer|rfr}rgrsrhrzrir~rjrrkrrlrrmrrnrr@r)rrrrrrrfrrkrrlrrmrrnrr@r)0rVrr[rrTrorrrfrrUrprWrrrXrsrZrtr\ror]rrr_rwrarorcrzrdr{rer|rhrzrir~rjrrkrrlrrmrrnrr@r)4rrrVrqr[rrTrorrrfrrUrprWrrrXrsrZrtr\ror]rrr_rwrarorcrzrdr{rer|rhrzrir~rjrrrrkrrlrrmrrnrr@r0rVrr[rrrrfrrUrprWrrrXrsrZrtr\ror]rrr_rwrarorbrrcrzrdr{rer|rhrzrir~rjrrkrrlrrmrrnrr@rrrrUrrrrbrrkrrlrrmrrnrr@r/)rrrbrrUrrrrkrrlrrmrrnrr@r)rrrbrrUrrrrkrrlrrmrrnrr@r)rrrUrrrrbrrkrrlrrmrrnrr@r rrrkrrlrrmrrnrr@r rrrkrrlrrmrrnrr@r/__name__ __module__ __qualname__rrHrMrQr rrrbrrrrrFrFrFrGr=3s   QQTI!T((,+(c@r?)r>r@rcCrArB)rrCrDrFrFrGrHrIzAsyncResponses.input_itemsAsyncResponsesWithRawResponsecCrKrL)rrDrFrFrGrMrNz AsyncResponses.with_raw_response#AsyncResponsesWithStreamingResponsecCrKrP)rrDrFrFrGrQ)rRz&AsyncResponses.with_streaming_responseNrSrTrorUrprVrqrWrrrXrsrYrZrtr[rur\r]r^rvr_rwr`rxrarbryrcrzrdr{rer|rfr}rgrhrir~rjrrkrrlrrmrrnrr/cdSrrFrrFrFrGr2PzAsyncResponses.createrr AsyncStream[ResponseStreamEvent]cr rrFrrFrFrGrr r+Response | AsyncStream[ResponseStreamEvent]cr rrFrrFrFrGrr rc s|jdtid|d|d|d|d|d|d|d |d | d | d | d | d| d|d|d|d|||||||d|rGtjntjIdHt||||dt|pXdttdIdHSr) rrr)rrr(r/r%r;rrFrFrGrsr! 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