i'ddlmZddlZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZmZmZddlmZmZmZdd lmZdd lmZmZdd lmZmZdd lm Z m!Z!dd l"m#Z#m$Z$m%Z%ddl&m'Z'm(Z(ddl)m*Z*ddl+m,Z,ddl-m.Z.ddl/m0Z0ddl1m2Z2ddl3m4Z4ddl5m6Z6ddgZ7GddeZ8GddeZ9GddZ:GddZ;GddZ<Gd d!Z=y)") annotationsN)UnionIterableOptional)Literal)_legacy_response)BodyOmitQueryHeadersNotGivenomit not_given) path_templatemaybe_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 AssistantsAsyncAssistantscjeZdZdZeddZeddZejde e e e e e e e e e ddde d ddZ ejdddde d dd Z ejde e e e e e e e e e e ddde d  dd Z ejde e e e ddde d  dd Zejdddde d ddZy)r'4Build Assistants that can call models and use tools.ct|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 )AssistantsWithRawResponseselfs l/root/rosshost/parking-map/parking-api/venv/lib/python3.12/site-packages/openai/resources/beta/assistants.pywith_raw_responsezAssistants.with_raw_response&s)..ct|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 )AssistantsWithStreamingResponser.s r0with_streaming_responsez"Assistants.with_streaming_response0s/t44r2 deprecatedN description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutcddi| xsi} |jdt||||||||| | | 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: Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - `xhigh` is supported for all models after `gpt-5.1-codex-max`. 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 modelr9r:r;r<r=r>r?r@rArBrCrDrErFbodyoptionscast_to)_postrrAssistantCreateParamsrr r/rMr9r:r;r<r=r>r?r@rArBrCrDrErFs r0createzAssistants.create9sX'QMr?r@rArBrCrDrErFc|std|ddi| xsi} |jtd|t|||||||| | | | d tj t | |||tS) 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: Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - `xhigh` is supported for all models after `gpt-5.1-codex-max`. 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 rYrIrJrZr[ r9r:r;rMr<r=r>r?r@rArBrNrO)r_rSrrrAssistantUpdateParamsrr r/r\r9r:r;rMr<r=r>r?r@rArBrCrDrErFs r0updatezAssistants.updateszZ[gZjkl l&QM3Optional[AssistantResponseFormatOptionParam] | Omitr?Optional[float] | Omitr@z6Optional[assistant_create_params.ToolResources] | OmitrA#Iterable[AssistantToolParam] | OmitrBrrCHeaders | NonerD Query | NonerE Body | NonerF'float | httpx.Timeout | None | NotGivenr|r r\strrCrrDrrErrFrr|r "r\rr9r~r:r~r;rrMa3Union[str, Literal['gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-2025-08-07', 'gpt-5-mini-2025-08-07', 'gpt-5-nano-2025-08-07', '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']] | Omitr<r~r=rr>rr?rr@z6Optional[assistant_update_params.ToolResources] | OmitrArrBrrCrrDrrErrFrr|r )rk str | Omitrlrrm int | OmitrnLiteral['asc', 'desc'] | OmitrCrrDrrErrFrr|zSyncCursorPage[Assistant] r\rrCrrDrrErrFrr|r"__name__ __module__ __qualname____doc__rr1r6typing_extensionsr7rrrVrbrirvr{r2r0r'r'#s>//55"!!,/ -1-1.2%)=AOS.2QU59(,)-$("&;D'B %B * B + B , B #B ;B MB ,B OB 3B &B &!B ""#B $ %B &9'B ( )B 0B H"!!,/)-$("&;D    &  "     9     0  D"!!,/ -1-1.2`%)=AOS.2QU59(,)-$("&;DGu u * u + u , u /u n#ou p;qu rMsu t,uu vOwu x3yu z&{u @&Au B"Cu D Eu F9Gu H Iu 0u n"!!,/!! /3)-$("&;D? ?  ?  ? - ? &? "?  ? 9?  #? 0? B"!!,/)-$("&;D    &  "     9     0  r2cjeZdZdZeddZeddZejde e e e e e e e e e ddde d ddZ ejdddde d dd Z ejde e e e e e e e e e e ddde d  dd Z ejde e e e ddde d  dd Zejdddde d ddZy)r(r*ct|Sr,)AsyncAssistantsWithRawResponser.s r0r1z!AsyncAssistants.with_raw_responses.d33r2ct|Sr4)$AsyncAssistantsWithStreamingResponser.s r0r6z'AsyncAssistants.with_streaming_response s4D99r2r7Nr8cKddi| xsi} |jdt||||||||| | | d tjd{t | | ||t d{S7$7w)rHrIrJrKrLNrNrO)rSrrrTrr rUs r0rVzAsyncAssistants.createsX'QMBBrjcddi|xsi}|jdttt||||t ||||dt j tSrp)rsrr rrrrtrus r0rvzAsyncAssistants.listusyX'QM44::"!!,/ -1-1.2%)=AOS.2QU59(,)-$("&;D'B %B * B + B , B #B ;B MB ,B OB 3B &B &!B ""#B $ %B &9'B ( )B 0B H"!!,/)-$("&;D    &  "     9     0  D"!!,/ -1-1.2`%)=AOS.2QU59(,)-$("&;DGu u * u + u , u /u n#ou p;qu rMsu t,uu vOwu x3yu z&{u @&Au B"Cu D Eu F9Gu H Iu 0u n"!!,/!! /3)-$("&;D? ?  ?  ? - ? &? "?  ? 9?  ?? 0? B"!!,/)-$("&;D    &  "     9     0  r2ceZdZddZy)r-cz||_tj|j|_tj|j|_tj|j |_tj|j |_tj|j|_yN) _assistantsr to_raw_response_wrapperrVrbrirvr{r/ assistantss r0__init__z"AssistantsWithRawResponse.__init__s%  4 4!!   4 4##   4 4!!   4 4   4 4!!  r2Nrr'r|Nonerrrrrr2r0r-r- r2r-ceZdZddZy)rcz||_tj|j|_tj|j|_tj|j |_tj|j |_tj|j|_yr)rr async_to_raw_response_wrapperrVrbrirvr{rs r0rz'AsyncAssistantsWithRawResponse.__init__s%  : :!!   : :##   : :!!   : :   : :!!  r2Nrr(r|rrrr2r0rrrr2rceZdZddZy)r5c||_t|j|_t|j|_t|j|_t|j |_t|j |_yr)rrrVrbrirvr{rs r0rz(AssistantsWithStreamingResponse.__init__s% )!!  )##  )!!  )  )!!  r2Nrrrr2r0r5r5rr2r5ceZdZddZy)rc||_t|j|_t|j|_t|j|_t|j |_t|j |_yr)rrrVrbrirvr{rs r0rz-AsyncAssistantsWithStreamingResponse.__init__9s% /!!  /##  /!!  /  /!!  r2Nrrrr2r0rr8rr2r)> __future__rrtypingrrrrhttpxr _typesr r r r rrr_utilsrrr_compatr _resourcerr _responserr paginationrr types.betarrr _base_clientrrtypes.beta.assistantr types.shared.chat_modelr!types.beta.assistant_deletedr"types.shared_params.metadatar#types.shared.reasoning_effortr$types.beta.assistant_tool_paramr%1types.beta.assistant_response_format_option_paramr&__all__r'r(r-rr5rrr2r0rs#,,% KKKKK&:Y9 A-0<4<Ac * +Y Y xY &Y x  >  >  >  r2