UthddlmZddlmZmZmZddlmZddlZddl 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/ddl0m1Z1ddl2m3Z3ddgZ4GddeZ5GddeZ6GddZ7GddZ8GddZ9Gd d!Z:dS)") 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) Assistant) ChatModel)AssistantDeleted)Metadata)ReasoningEffort)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 t/var/www/html/mycamper/aliexpress-site/backend/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 )r0r+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]r5Optional[str] | NotGivenr6r7Optional[Metadata] | NotGivenr8r9$Optional[ReasoningEffort] | NotGivenr:7Optional[AssistantResponseFormatOptionParam] | NotGivenr;Optional[float] | NotGivenr<:Optional[assistant_create_params.ToolResources] | NotGivenr='Iterable[AssistantToolParam] | NotGivenr>r?Headers | Noner@ Query | NonerA Body | NonerB'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: **o-series 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 rCr5r6r7r8r9r:r;r<r=r>r?r@rArBbodyoptionscast_to)_postrrAssistantCreateParamsrrr,rCr5r6r7r8r9r:r;r<r=r>r?r@rArBs r-createzAssistants.create6sH'QMr?r@rArBUnion[str, Literal['gpt-4.1', 'gpt-4.1-mini', 'gpt-4.1-nano', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano-2025-04-14', '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-4.5-preview', 'gpt-4.5-preview-2025-02-27', '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: **o-series 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 rcrRrSrd r5r6r7rCr8r9r:r;r<r=r>rVrW)rgr[rrAssistantUpdateParamsrrr,r_r5r6r7rCr8r9r:r;r<r=r>r?r@rArBs r-updatezAssistants.updates^ mk[gkkll l&QMrIr?rLr@rMrArNrBrOr'r r_r`r?rLr@rMrArNrBrOr'r"r_r`r5rEr6rEr7rFrCrlr8rEr9rGr:rHr;rIr<rmr=rKr>rIr?rLr@rMrArNrBrOr'r)ruryrvryrwrzrxr{r?rLr@rMrArNrBrOr'r| r_r`r?rLr@rMrArNrBrOr'r __name__ __module__ __qualname__rr.r3r r^rjrsrrr/r-r$r$"s///_/555_51:1:2;)2AJS\2;U^9B,5)-$("&;D'{ { { { { { F)-$("&;D       L1:1:2;T)2AJS\2;U^9B,5)-$("&;D{h h h h h h Z!*!* )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|Sr2)rr+s r-r3z'AsyncAssistants.with_streaming_responses4D999r/Nr4rCrDr5rEr6r7rFr8r9rGr:rHr;rIr<rJr=rKr>r?rLr@rMrArNrBrOrcKddi| pi} |dt||||||||| | | d tjd{Vt | | ||t d{VS)rQrRrSrTrUNrVrW)r[rrr\rrr]s r-r^zAsyncAssistants.createsH'QM     )@     '>     %< O   '>     r/Nrr$r'rrrrrrr/r-r(r((      r/r(ceZdZddZdS)rrr%r'rc@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSr)rr async_to_raw_response_wrapperr^rjrsrrrs r-rz'AsyncAssistantsWithRawResponse.__init__s%&D     )F     'D     %B O   'D     r/Nrr%r'rrrr/r-rrrr/rceZdZddZdS)r0rr$r'rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrr^rjrsrrrs r-rz(AssistantsWithStreamingResponse.__init__s%2     5     3     1 O   3     r/Nrrrr/r-r0r0rr/r0ceZdZddZdS)rrr%r'rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrr^rjrsrrrs r-rz-AsyncAssistantsWithStreamingResponse.__init__s%8     ;     9     7 O   9     r/Nrrrr/r-rrrr/r); __future__rtypingrrrtyping_extensionsrhttpxr _typesr r r r r_utilsrr_compatr _resourcerr _responserr paginationrr types.betarrr _base_clientrrtypes.beta.assistantrtypes.shared.chat_modelrtypes.beta.assistant_deletedrtypes.shared_params.metadatar types.shared.reasoning_effortr!types.beta.assistant_tool_paramr"1types.beta.assistant_response_format_option_paramr#__all__r$r%r(rr0rrr/r-rs#""""",,,,,,,,,,%%%%%% ??????????????<<<<<<<<&&&&&&::::::::YYYYYYYY99999999 A@@@@@@@------000000<<<<<<444444<<<<<<AAAAAAcccccc * +~ ~ ~ ~ ~ ~ ~ ~ B~ ~ ~ ~ ~ &~ ~ ~ B        *        *        *          r/