2i"ddlmZddlZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZmZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZm Z dd l!m"Z"m#Z#m$Z$ddl%m&Z&m'Z'ddl(m)Z)ddl*m+Z+ddl,m-Z-ddl.m/Z/ddl0m1Z1ddl2m3Z3ddl4m5Z5ddgZ6GddeZ7GddeZ8GddZ9GddZ:GddZ;Gd d!Zd*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 g/root/.openclaw/workspace/.venv-openai/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 )r3r.s r0with_streaming_responsez"Assistants.with_streaming_response0s/t444r2 deprecatedN description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutmodelUnion[str, ChatModel]r9Optional[str] | Omitr:r;Optional[Metadata] | Omitr<r= Optional[ReasoningEffort] | Omitr>3Optional[AssistantResponseFormatOptionParam] | Omitr?Optional[float] | Omitr@6Optional[assistant_create_params.ToolResources] | OmitrA#Iterable[AssistantToolParam] | OmitrBrCHeaders | NonerD Query | NonerE Body | NonerF'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: 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 rGr9r:r;r<r=r>r?r@rArBrCrDrErFbodyoptionscast_to)_postrrAssistantCreateParamsrrr/rGr9r:r;r<r=r>r?r@rArBrCrDrErFs r0createzAssistants.create9sX'QMr?r@rArBrCrDrErF3Union[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} |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: 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 rgrVrWrh r9r:r;rGr<r=r>r?r@rArBrZr[)rkr_rrAssistantUpdateParamsrrr/rcr9r:r;rGr<r=r>r?r@rArBrCrDrErFs r0updatezAssistants.updatesz mk[gkkll l&QMrLr?rMr@rNrArOrBrMrCrPrDrQrErRrFrSr*r rcrdrCrPrDrQrErRrFrSr*r"rcrdr9rIr:rIr;rJrGrpr<rIr=rKr>rLr?rMr@rqrArOrBrMrCrPrDrQrErRrFrSr*r)ryr}rzr}r{r~r|rrCrPrDrQrErRrFrSr*r rcrdrCrPrDrQrErRrFrSr*r!__name__ __module__ __qualname____doc__rr1r6typing_extensionsr7rrrbrnrwrrr2r0r&r&#s >>///_/555_5"!,// -1-1.2%)=AOS.2QU59(,)-$("&;D'B B B B B 0/B H"!,//)-$("&;D      0/  D"!,// -1-1.2`%)=AOS.2QU59(,)-$("&;DGu u u u u 0/u n"!,//!! /3)-$("&;D? ? ? ? ? 0/? B"!,//)-$("&;D      0/    r2ceZdZdZed;dZedd*Z ejde e e e e e e e e e e ddde d+d?d.Z ejde e e e ddde d/d@d8Zejdddde d'dAd:ZdS)Br'r)r*AsyncAssistantsWithRawResponsec t|Sr-)rr.s r0r1z!AsyncAssistants.with_raw_responses.d333r2$AsyncAssistantsWithStreamingResponsec t|Sr5)rr.s r0r6z'AsyncAssistants.with_streaming_response s4D999r2r7Nr8rGrHr9rIr:r;rJr<r=rKr>rLr?rMr@rNrArOrBrCrPrDrQrErRrFrSrcKddi| pi} |dt||||||||| | | d tjd{Vt | | ||t d{VS)rUrVrWrXrYNrZr[)r_rrr`rrras r0rbzAsyncAssistants.createsX'QM>444_4:::_:"!,// -1-1.2%)=AOS.2QU59(,)-$("&;D'B B B B B 0/B H"!,//)-$("&;D      0/  D"!,// -1-1.2`%)=AOS.2QU59(,)-$("&;DGu u u u u 0/u n"!,//!! /3)-$("&;D? ? ? ? ? 0/? B"!,//)-$("&;D      0/    r2ceZdZddZdS)r+ assistantsr&r*Nonec@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSN) _assistantsr to_raw_response_wrapperrbrnrwrrr/rs r0__init__z"AssistantsWithRawResponse.__init__s%  4!    4#    4!    4    4!   r2Nrr&r*rrrrrrr2r0r+r+(      r2r+ceZdZddZdS)rrr'r*rc@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSr)rr async_to_raw_response_wrapperrbrnrwrrrs r0rz'AsyncAssistantsWithRawResponse.__init__s%  :!    :#    :!    :    :!   r2Nrr'r*rrrr2r0rrrr2rceZdZddZdS)r3rr&r*rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrrbrnrwrrrs r0rz(AssistantsWithStreamingResponse.__init__s% )!   )#   )!   )   )!   r2Nrrrr2r0r3r3rr2r3ceZdZddZdS)rrr'r*rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrrbrnrwrrrs r0rz-AsyncAssistantsWithStreamingResponse.__init__9s% /!   /#   /!   /   /!   r2Nrrrr2r0rr8rr2r)= __future__rrtypingrrrrhttpxr _typesr r r r rrr_utilsrr_compatr _resourcerr _responserr paginationrr types.betarrr _base_clientrrtypes.beta.assistantrtypes.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+rr3rrr2r0rs#""""",,,,,,,,,,%%%%%% KKKKKKKKKKKKKKKKKK<<<<<<<<&&&&&&::::::::YYYYYYYY99999999 A@@@@@@@------000000<<<<<<444444<<<<<<AAAAAAcccccc * +Y Y Y Y Y Y Y Y xY Y Y Y Y &Y Y Y x        >        >        >          r2