jddlmZddlZddlmZmZmZddlmZddlZddl 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=dS)") 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 AssistantsAsyncAssistantsceZdZdZed;dZedd*Z ejde e e e e e e e e e e ddde d+d?d.Z ejde e e e ddde d/d@d8Zejdddde d'dAd:ZdS)Br'4Build Assistants that can call models and use tools.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 NC:\Projects\DSCons\.venv\Lib\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 )r4r/s r1with_streaming_responsez"Assistants.with_streaming_response0s/t444r3 deprecatedN description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutmodelUnion[str, ChatModel]r:Optional[str] | Omitr;r<Optional[Metadata] | Omitr=r> Optional[ReasoningEffort] | Omitr?3Optional[AssistantResponseFormatOptionParam] | Omitr@Optional[float] | OmitrA6Optional[assistant_create_params.ToolResources] | OmitrB#Iterable[AssistantToolParam] | OmitrCrDHeaders | NonerE Query | NonerF Body | NonerG(float | httpx2.Timeout | None | NotGivenr cddi| pi} |dt||||||||| | | d tjt | | ||ddit S) 2 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. Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, and `max`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Not all reasoning models support every value. See the [reasoning guide](https://platform.openai.com/docs/guides/reasoning) for model-specific support. 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 rHr:r;r<r=r>r?r@rArBrC bearer_authTrDrErFrGsecuritybodyoptionscast_to)_postrrAssistantCreateParamsrr r0rHr:r;r<r=r>r?r@rArBrCrDrErFrGs r1createzAssistants.create9sJ'QMr?r@rArBrCrDrErFrG3Union[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']] | Omit6Optional[assistant_update_params.ToolResources] | Omitc|std|ddi| pi} |td|t|||||||| | | | d tjt | |||ddi 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: Constrains effort on reasoning for reasoning models. Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, and `max`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Not all reasoning models support every value. See the [reasoning guide](https://platform.openai.com/docs/guides/reasoning) for model-specific support. 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 rkrWrXrlrm r:r;r<rHr=r>r?r@rArBrCr[Tr\r^)rprbrrrAssistantUpdateParamsrr r0rgr:r;r<rHr=r>r?r@rArBrCrDrErFrGs r1updatezAssistants.updatesl mk[gkkll l&QMrLr?rMr@rNrArOrBrPrCrNrDrQrErRrFrSrGrTr+r rgrhrDrQrErRrFrSrGrTr+r "rgrhr:rJr;rJr<rKrHrur=rJr>rLr?rMr@rNrArvrBrPrCrNrDrQrErRrFrSrGrTr+r )r~rrrrrrrrDrQrErRrFrSrGrTr+r rgrhrDrQrErRrFrSrGrTr+r"__name__ __module__ __qualname____doc__rr2r7typing_extensionsr8rrrersr|rrr3r1r'r'#s&>>///_/555_5"!,// -1-1.2%)=AOS.2QU59(,)-$("&d*Z ejde e e e e e e e e e e ddde d+d?d.Z ejde e e e ddde d/d@d8Zejdddde d'dAd:ZdS)Br(r*r+AsyncAssistantsWithRawResponsec t|Sr.)rr/s r1r2z!AsyncAssistants.with_raw_responses.d333r3$AsyncAssistantsWithStreamingResponsec t|Sr6)rr/s r1r7z'AsyncAssistants.with_streaming_responses4D999r3r8Nr9rHrIr:rJr;r<rKr=r>rLr?rMr@rNrArOrBrPrCrDrQrErRrFrSrGrTr cKddi| pi} |dt||||||||| | | d tjd{Vt | | ||ddit d{VS) rVrWrXrYrZNr[Tr\r^)rbrrrcrr rds r1rezAsyncAssistants.createsJ'QM>444_4:::_:"!,// -1-1.2%)=AOS.2QU59(,)-$("&rr3r)> __future__rrtypingrrrrhttpx2r _typesr r r r rrr_utilsrrr_compatr _resourcerr _responserr paginationrr types.betarrr _base_clientrrtypes.beta.assistantr types.shared.chat_modelr!types.beta.assistant_deletedr"types.shared_params.metadatar#types.shared.reasoning_effortr$types.beta.assistant_tool_paramr%1types.beta.assistant_response_format_option_paramr&__all__r'r(r,rr4rrr3r1rs#""""",,,,,,,,,,%%%%%% KKKKKKKKKKKKKKKKKKKKKKKKKKKK&&&&&&::::::::YYYYYYYY99999999 A@@@@@@@------000000<<<<<<444444<<<<<<AAAAAAcccccc * +\ \ \ \ \ \ \ \ ~\ \ \ \ \ &\ \ \ ~        >        >        >          r3