gzddlmZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZmZdd lm Z m!Z!m"Z"ddl#m$Z$m%Z%ddl&m'Z'ddl(m)Z)ddl*m+Z+ddl,m-Z-ddl.m/Z/ddl0m1Z1ddgZ2GddeZ3GddeZ4GddZ5GddZ6GddZ7Gdd Z8dS)!) annotations)UnionIterableOptional)LiteralN)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)assistant_list_paramsassistant_create_paramsassistant_update_params)AsyncPaginatormake_request_options) ChatModel) Assistant)AssistantDeleted)Metadata)AssistantToolParam)"AssistantResponseFormatOptionParam AssistantsAsyncAssistantsceZdZed9dZed:dZeeeeeeeeeedddedd;d$Zddded%dd6Z ddded%d?d8Z dS)@r#returnAssistantsWithRawResponsec t|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'selfs ^/var/www/html/mpstechhub/venv/lib/python3.11/site-packages/openai/resources/beta/assistants.pywith_raw_responsezAssistants.with_raw_response%s)...AssistantsWithStreamingResponsec t|Sz 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*s r,with_streaming_responsez"Assistants.with_streaming_response/s/t444r.N description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutmodelUnion[str, ChatModel]r4Optional[str] | NotGivenr5r6Optional[Metadata] | NotGivenr7r85Optional[Literal['low', 'medium', 'high']] | NotGivenr97Optional[AssistantResponseFormatOptionParam] | NotGivenr:Optional[float] | NotGivenr;:Optional[assistant_create_params.ToolResources] | NotGivenr<'Iterable[AssistantToolParam] | NotGivenr=r>Headers | Noner? Query | Noner@ Body | NonerA'float | httpx.Timeout | None | NotGivenrcddi| pi} |dt||||||||| | | d tjt | | ||t S) Create an assistant with a model and instructions. Args: model: ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. description: The description of the assistant. The maximum length is 512 characters. instructions: The system instructions that the assistant uses. The maximum length is 256,000 characters. 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. name: The name of the assistant. The maximum length is 256 characters. reasoning_effort: **o1 and o3-mini models only** Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the message the model generates is valid JSON. **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. 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. tool_resources: A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. 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. 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 OpenAI-Beta assistants=v2 /assistants rBr4r5r6r7r8r9r:r;r<r=r>r?r@rAbodyoptionscast_to)_postrrAssistantCreateParamsrrr+rBr4r5r6r7r8r9r:r;r<r=r>r?r@rAs r,createzAssistants.create8sH'QMr?r@rAs r,retrievezAssistants.retrieves. mk[gkkll l&QMr?r@rA$Union[str, Literal['o3-mini', 'o3-mini-2025-01-31', 'o1', 'o1-2024-12-17', 'gpt-4o', 'gpt-4o-2024-11-20', 'gpt-4o-2024-08-06', 'gpt-4o-2024-05-13', 'gpt-4o-mini', 'gpt-4o-mini-2024-07-18', 'gpt-4-turbo', 'gpt-4-turbo-2024-04-09', 'gpt-4-0125-preview', 'gpt-4-turbo-preview', 'gpt-4-1106-preview', 'gpt-4-vision-preview', 'gpt-4', 'gpt-4-0314', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-32k-0314', 'gpt-4-32k-0613', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-1106', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613']] | NotGiven:Optional[assistant_update_params.ToolResources] | NotGivenc|std|ddi| pi} |d|t|||||||| | | | d tjt | |||t S)Modifies an assistant. Args: description: The description of the assistant. The maximum length is 512 characters. instructions: The system instructions that the assistant uses. The maximum length is 256,000 characters. 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: ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models) for descriptions of them. name: The name of the assistant. The maximum length is 256 characters. reasoning_effort: **o1 and o3-mini models only** Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the message the model generates is valid JSON. **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. 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. tool_resources: A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. 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. 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 rbrQrRrc r4r5r6rBr7r8r9r:r;r<r=rUrV)rfrZrrAssistantUpdateParamsrrr+r^r4r5r6rBr7r8r9r:r;r<r=r>r?r@rAs r,updatezAssistants.updatesN mk[gkkll l&QMr?r@rArtstr | NotGivenrurvint | NotGivenrw!Literal['asc', 'desc'] | NotGivenSyncCursorPage[Assistant]cddi|pi}|dttt||||t ||||dt jtSaReturns a list of assistants. Args: after: A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. before: A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, starting with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. limit: A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order. 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 rQrRrS)rtrurvrw)r>r?r@rAquery)pagerXrB) _get_api_listrrrrrAssistantListParams r+rtrurvrwr>r?r@rAs r,listzAssistants.listysV'QMrKr?rLr@rMrArNr&r r^r_r>rKr?rLr@rMrArNr&r"r^r_r4rDr5rDr6rErBrkr7rDr8rFr9rGr:rHr;rlr<rJr=rHr>rKr?rLr@rMrArNr&r)rtrxrurxrvryrwrzr>rKr?rLr@rMrArNr&r{ r^r_r>rKr?rLr@rMrArNr&r __name__ __module__ __qualname__rr-r2r r]rirrrrr.r,r#r#$s///_/555_51:1:2;)2R[S\2;U^9B,5)-$("&;D'{ { { { { { F)-$("&;D       L1:1:2;D)2R[S\2;U^9B,5)-$("&;Dk` ` ` ` ` ` J!*!* )3<)-$("&;D? ? ? ? ? ? N)-$("&;D         r.ceZdZed9dZed:dZeeeeeeeeeedddedd;d$Zddded%dd6Z ddded%d?d8Z dS)@r$r&AsyncAssistantsWithRawResponsec t|Sr))rr*s r,r-z!AsyncAssistants.with_raw_responses.d333r.$AsyncAssistantsWithStreamingResponsec t|Sr1)rr*s r,r2z'AsyncAssistants.with_streaming_responses4D999r.Nr3rBrCr4rDr5r6rEr7r8rFr9rGr:rHr;rIr<rJr=r>rKr?rLr@rMrArNrcKddi| pi} |dt||||||||| | | d tjd{Vt | | ||t d{VS)rPrQrRrSrTNrUrV)rZrrr[rrr\s r,r]zAsyncAssistants.createsH'QMrKr?rLr@rMrArNr&rrrrr.r,r$r$s444_4:::_:1:1:2;)2R[S\2;U^9B,5)-$("&;D'{ { { { { { F)-$("&;D       L1:1:2;D)2R[S\2;U^9B,5)-$("&;Dk` ` ` ` ` ` J!*!* )3<)-$("&;D? ? ? ? ? ? N)-$("&;D         r.ceZdZddZdS)r' assistantsr#r&Nonec@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSN) _assistantsr to_raw_response_wrapperr]rirrrrr+rs r,__init__z"AssistantsWithRawResponse.__init__s%&>     )@     '>     %< O   '>     r.Nrr#r&rrrrrrr.r,r'r'(      r.r'ceZdZddZdS)rrr$r&rc@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSr)rr async_to_raw_response_wrapperr]rirrrrrs r,rz'AsyncAssistantsWithRawResponse.__init__s%&D     )F     'D     %B O   'D     r.Nrr$r&rrrr.r,rrrr.rceZdZddZdS)r/rr#r&rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrr]rirrrrrs r,rz(AssistantsWithStreamingResponse.__init__s%2     5     3     1 O   3     r.Nrrrr.r,r/r/rr.r/ceZdZddZdS)rrr$r&rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrr]rirrrrrs r,rz-AsyncAssistantsWithStreamingResponse.__init__s%8     ;     9     7 O   9     r.Nrrrr.r,rrrr.r)9 __future__rtypingrrrtyping_extensionsrhttpxr _typesr r r r r_utilsrr_compatr _resourcerr _responserr paginationrr types.betarrr _base_clientrrtypes.chat_modelrtypes.beta.assistantrtypes.beta.assistant_deletedrtypes.shared_params.metadatar types.beta.assistant_tool_paramr!1types.beta.assistant_response_format_option_paramr"__all__r#r$r'rr/rrr.r,rs#""""",,,,,,,,,,%%%%%% ??????????????'&&&&&::::::::YYYYYYYY99999999 A@@@@@@@))))))------<<<<<<444444AAAAAAcccccc * +v v v v v v v v r v v v v v &v v v r         *        *        *          r.