hks^SSKJr SSKJrJrJrJrJrJrJ r SSK J r SSK J r Jr SSKrSSKJr SSKJrJrJrJrJrJr SS KJrJrJrJr SS KJr SS K J!r!J"r" SS K#J$r$J%r% S SK&J'r'J(r(J)r)J*r*J+r+J,r, SSK-J.r.J/r/ SSK0J1r1J2r2 SSK3J4r4 SSK5J6r6J7r7 SSK8J9r9J:r:J;r< SSK=J>r> SSK?J@r@ SSKAJBrBJCrC SSKDJErE SSKFJGrG SSKHJIrI SSKJJKrKJLrL SSKMJNrN SSKOJPrP SSKQJRrR SSKSJTrT SSKUJVrV S S!/rW"S"S \!5rX"S#S!\"5rY"S$S%5rZ"S&S'5r["S(S)5r\"S*S+5r]S-S,jr^g).) annotations)AnyListTypeUnionIterableOptionalcast)partial)LiteraloverloadN)_legacy_response) NOT_GIVENBodyQueryHeadersNoneTypeNotGiven)is_given required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper) InputItemsAsyncInputItemsInputItemsWithRawResponseAsyncInputItemsWithRawResponseInputItemsWithStreamingResponse$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)ResponseStreamEvent)ResponseTextConfigParam ResponsesAsyncResponsescv\rSrSr\SSj5r\SSj5r\SSj5r\\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.SS jj5r \\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S .SS jj5r \\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S .SS jj5r \ "SS//S Q5\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.SSjj5r \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.SSjjr \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ SSS\ S.S Sjjr \ SSS\ S.S!SjjrSSS\ S.S"SjjrSrg)#r>7c,[UR5$N)r _clientselfs V/var/www/html/env/lib/python3.13/site-packages/openai/resources/responses/responses.py input_itemsResponses.input_items8s$,,''c[U5$z This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )ResponsesWithRawResponserEs rGwith_raw_responseResponses.with_raw_response<s(--rJc[U5$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 )ResponsesWithStreamingResponserEs rGwith_streaming_response!Responses.with_streaming_responseFs.d33rJNinclude instructionsmax_output_tokensmetadataparallel_tool_callsprevious_response_id reasoning service_tierstorestream temperaturetext tool_choicetoolstop_p truncationuser extra_headers extra_query extra_bodytimeoutinputmodelcgaCreates 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: 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) 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. include: Specify additional output data to include in the model response. Currently supported values are: - `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. - `computer_call_output.output.image_url`: Include image urls from the computer call output. instructions: Inserts a system (or developer) message as the first item in 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). 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. 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). reasoning: **o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). service_tier: Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted. - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'flex', the request will be processed with the Flex Processing service tier. [Learn more](https://platform.openai.com/docs/guides/flex-processing). - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. 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_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 unique identifier representing your end-user, which can help OpenAI to monitor and detect 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 NrFrkrlrVrWrXrYrZr[r\r]r^r_r`rarbrcrdrerfrgrhrirjs rGcreateResponses.createOl rJrVrWrXrYrZr[r\r]r^r`rarbrcrdrerfrgrhrirjcgaCreates 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: 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) 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. 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: Specify additional output data to include in the model response. Currently supported values are: - `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. - `computer_call_output.output.image_url`: Include image urls from the computer call output. instructions: Inserts a system (or developer) message as the first item in 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). 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. 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). reasoning: **o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). service_tier: Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted. - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. - If set to 'flex', the request will be processed with the Flex Processing service tier. [Learn more](https://platform.openai.com/docs/guides/flex-processing). - When not set, the default behavior is 'auto'. When this parameter is set, the response body will include the `service_tier` utilized. 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_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 unique identifier representing your end-user, which can help OpenAI to monitor and detect 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 NrorFrkrlr_rVrWrXrYrZr[r\r]r^r`rarbrcrdrerfrgrhrirjs rGrqrrrsrJcgrvrorws rGrqrrrsrJrkrlr_c <URS[0SU_SU_SU_SU_SU_SU_SU_S U_S U _S U _S U _S U _SU _SU_SU_SU_SU_UUS.EU (a[RO[R5[ UUUUS9[ U =(d S[[S9$N /responsesrkrlrVrWrXrYrZr[r\r]r^r_r`rarbrcrd)rerfrgrhrirjF)bodyoptionscast_tor_ stream_cls) _postrr+ResponseCreateParamsStreaming ResponseCreateParamsNonStreamingr*r1r&r<rps rGrqrrwsF<zz  UUw#L  ():   *+>+,@ #LUf";D"; U!"U#$#- ','DD+LL14)+Q[el?U12C" " rJ text_formatrcrVrWrXrYrZr[r\r^r`rarbrdrerfrgrhrirjcJ[U5(a(U(d0nSU;a [S5e[U5US'[U5n[ UR 40SU_SU_SU_SU_SU_SU_S U_S U _S U _S U _S S_SU _SU_SU_SU _SU_SU_SU_SU_SU_SU_SU_6n[ UUUS9$)Nformat1Cannot mix and match text.format with text_formatrkrlrcrVrWrXrYrZr[r^r_Tr`rarbr\rdrerfrgrhrirjr input_tools)r TypeError_type_to_text_format_param _make_toolsr rqr7rFrkrlrrcrVrWrXrYrZr[r\r^r`rarbrdrerfrgrhrirj api_requests rGr_Responses.streamsF8 K 4 STT7 DDNE"[TTUS9$N)rrresponser. raw_responserrcs rGparserResponses.parse..parser(!!'% rJr|rkrlrVrWrXrYrZr[r\r^r_r`rarbrcrdrerfrgrhrirj post_parserr~rrrr1returnParsedResponse[TextFormatT]rrrrrrr+ResponseCreateParamsr*r rr6r-r1rFrkrlrrcrVrWrXrYrZr[r\r^r_r`rarbrdrerfrgrhrirjrs `` rGparseResponses.parses: K 4 STT7 DDNE"  zz  UUw#L  ():   *+>+,@ Uf";D";U U!"!*#$D%(';;+.)+'%" n[9:HEE# # rJrVrgrhrirjc U(d[SU<35eURSU3[UUUU[SU0[R 5S9[ S9$) 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. 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 :Expected a non-empty value for `response_id` but received /responses/rVrgrhrirjqueryrr) ValueError_getr*rr,ResponseRetrieveParamsr1rF response_idrVrgrhrirjs rGretrieveResponses.retrieveTsk6YZeYhij jyy+ '(+'%%y'&:r>7s ((..44 BK1:6?2;9B9B4=PY+46?2;39BAJ1:6?2;9B9B4=+42;39BAJ1:6?2;9B9B4=+4FO2;3+,@ #LUf";D"; U!"U#$#- ','DD+LL14)+Q[el?U"#67C " " " " s$A9B4;B0 [TTUS9$rrrs rGr$AsyncResponses.parse..parserrrJr|rkrlrVrWrXrYrZr[r\r^r_r`rarbrcrdrerfrrrrrs `` rGrAsyncResponses.parsehs: K 4 STT7 DDNE"  ZZ  UUw#L  ():   *+>+,@ Uf";D";U U!"!*#$D%(';;+.)+'%" n[9:HEE # # # # sCC' C%!C'rc # U(d[SU<35eURSU3[UUUU[SU0[R 5IShvN S9[ S9IShvN $NN7f)rrrrVNrr)rrr*rr,rr1rs rGrAsyncResponses.retrieves6YZeYhij jYY+ '(+'%1(*B*Y*Y      s$AA*A&A*!A("A*(A*r}c # U(d[SU<35eSS0U=(d 0EnURSU3[X#XES9[S9IShvN $N7f)rrrrrr}rNrrs rGrAsyncResponses.deletesp.YZeYhij j!5B]-@bB \\+ '(+Q[ "    sA A A Aro)rr!)rr)rrr)0rkrrlr:r_rrVrrWrrXrrYrrZrr[rr\rr]rr^rr`rrarrbrrcrrdrrerrfrrgrrhrrirrjrrz AsyncStream[ResponseStreamEvent])0rkrrlr:r_rrVrrWrrXrrYrrZrr[rr\rr]rr^rr`rrarrbrrcrrdrrerrfrrgrrhrrirrjrr+Response | AsyncStream[ResponseStreamEvent])0rkrrlr:rVrrWrrXrrYrrZrr[rr\rr]rr^rr_rr`rrarrbrrcrrdrrerrfrrgrrhrrirrjrrr).rkrrlrrrrcrrVrrWrrXrrYrrZrr[rr\rr^rr`rrarrbrrdrrerrfrrgrrhrrirrjrrz'AsyncResponseStreamManager[TextFormatT]rrrrrorJrGr?r?s --3399 BK1:6?2;9B9B4=PY+46?2;39BAJ1:6?2;9B9B4=+42;39BAJ1:6?2;9B9B4=+4FO2;3>     )@@     '>>     rJc@[URR5$rC)r"rrHrEs rGrH$ResponsesWithRawResponse.input_itemss()D)DEErJrrqrrNrr>rr)rr"rrrrrrrHrrorJrGrMrM s  FFrJrMc2\rSrSrSSjr\SSj5rSrg)ricXl[R"UR5Ul[R"UR5Ul[R"UR 5UlgrC)rrasync_to_raw_response_wrapperrqrrrs rGr&AsyncResponsesWithRawResponse.__init__s\#&DD     )FF     'DD     rJc@[URR5$rC)r#rrHrEs rGrH)AsyncResponsesWithRawResponse.input_items+s-doo.I.IJJrJr Nrr?rr)rr#r rorJrGrrs  KKrJrc2\rSrSrSSjr\SSj5rSrg)rRi0cXl[UR5Ul[UR5Ul[UR5UlgrC)rrrqrrrs rGr'ResponsesWithStreamingResponse.__init__1sJ#2     5     3     rJc@[URR5$rC)r$rrHrEs rGrH*ResponsesWithStreamingResponse.input_items>s.t/J/JKKrJr Nr )rr$r rorJrGrRrR0s  LLrJrRc2\rSrSrSSjr\SSj5rSrg)riCcXl[UR5Ul[UR5Ul[UR5UlgrC)rrrqrrrs rGr,AsyncResponsesWithStreamingResponse.__init__DsJ#8     ;     9     rJc@[URR5$rC)r%rrHrEs rGrH/AsyncResponsesWithStreamingResponse.input_itemsQs3DOO4O4OPPrJr Nr)rr%r rorJrGrrCs  QQrJrc [U5(d[$/nUHnUSS:waURU5 MSU;aURU5 M8[[U5Sn[ U[ 5(d [S5eSU;de[SUSURS5USURS5=(d SS .UR5nURUR55 M U$) NtypefunctionzcExpected Chat Completions function tool shape to be created using `openai.pydantic_function_tool()` parametersname descriptionstrictF)rr"r#r!r$) rrappendr r isinstancer( Exceptionr)getrl)rcconverted_toolstoolr new_tools rGrrVs E??')O <: %  " "4 (  T !  " "4 ( T?:.($899u x'''0" ('||M:&|4",,x09E   NN   x}}/9< rJ)rcrrzList[ToolParam] | NotGiven)_ __future__rtypingrrrrrr r functoolsr typing_extensionsr r httpxr_typesrrrrrr_utilsrrrr_compatr _resourcerr _responserrrHr r!r"r#r$r% _streamingr&r' lib._toolsr(r) _base_clientr*types.responsesr+r,lib._parsing._responsesr-r.r/rtypes.shared.chat_modelr0types.responses.responser1types.responses.tool_paramr2r3types.shared_params.metadatar4types.shared_params.reasoningr5types.responses.parsed_responser6"lib.streaming.responses._responsesr7r8#types.responses.response_includabler9#types.shared_params.responses_modelr:$types.responses.response_input_paramr;%types.responses.response_stream_eventr<*types.responses.response_text_config_paramr=__all__r>r?rMrrRrrrorJrGrIs#CCC/ II ':Y.M0O 10G46=cEAFHQ ( )f  f  Rg  %g  TFF&KK&LL&QQ&#rJ