_jSSKJr SSKrSSKJrJrJr SSKJr SSKrSSK J r SSK J r J r JrJrJrJrJr SSKJrJrJr SS KJr SS KJrJr SS KJrJr SS KJ r J!r! SS K"J#r#J$r$J%r% SSK&J'r'J(r( SSK)J*r* SSK+J,r, SSK-J.r. SSK/J0r0 SSK1J2r2 SSK3J4r4 SSK5J6r6 SS/r7"SS\5r8"SS\5r9"SS5r:"SS5r;"SS5r<"S S!5r=g)") 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 AssistantsAsyncAssistantsc\rSrSrSr\SSj5r\SSj5r\R"S5\ \ \ \ \ \ \ \ \ \ SSS\ S.SSjj5r \R"S5SSS\ S .SS jj5r \R"S5\ \ \ \ \ \ \ \ \ \ \ SSS\ S .SS jj5r\R"S5\ \ \ \ SSS\ S .SSjj5r\R"S5SSS\ S .SSjj5rSrg)r'#4Build Assistants that can call models and use tools.c[U5$z This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )AssistantsWithRawResponseselfs U/home/rurouni/.local/lib/python3.13/site-packages/openai/resources/beta/assistants.pywith_raw_responseAssistants.with_raw_response&s)..c[U5$z 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 r1with_streaming_response"Assistants.with_streaming_response0s/t44r4 deprecatedN description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutcSS0U =(d 0En URS[UUUUUUUUU U U S. [R5[ U U UUSS0S9[ S9$)  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 modelr<r=r>r?r@rArBrCrDrE bearer_authTrFrGrHrIsecuritybodyoptionscast_to)_postrrAssistantCreateParamsrr r0rPr<r=r>r?r@rArBrCrDrErFrGrHrIs r1createAssistants.create9sX'QMrPr?r@rArBrCrDrErFrGrHrIcU(d[SU<35eSS0U =(d 0En UR[SUS9[UUUUUUUU U U U S. [R 5[ U UUUSS0S 9[S 9$) 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 r`rLrMrarb r<r=r>rPr?r@rArBrCrDrErQTrRrT)rfrXrrrAssistantUpdateParamsrr r0rcr<r=r>rPr?r@rArBrCrDrErFrGrHrIs r1updateAssistants.updateszZ[gZjkl l&QMOptional[Metadata] | Omitr?rr@ Optional[ReasoningEffort] | OmitrA3Optional[AssistantResponseFormatOptionParam] | OmitrBOptional[float] | OmitrCz6Optional[assistant_create_params.ToolResources] | OmitrD#Iterable[AssistantToolParam] | OmitrErrFHeaders | NonerG Query | NonerH Body | NonerI'float | httpx.Timeout | None | NotGivenrr rcstrrFrrGrrHrrIrrr "rcrr<rr=rr>rrPa3Union[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?rr@rrArrBrrCz6Optional[assistant_update_params.ToolResources] | OmitrDrrErrFrrGrrHrrIrrr )rt str | Omitrurrv int | OmitrwLiteral['asc', 'desc'] | OmitrFrrGrrHrrIrrzSyncCursorPage[Assistant] rcrrFrrGrrHrrIrrr"__name__ __module__ __qualname____firstlineno____doc__rr2r8typing_extensionsr:rrr[rirqrr__static_attributes__rr4r1r'r'#s>//55!!,/ -1-1.2%)=AOS.2QU59(,)-$("&;D'F %F * F + F , F #F ;F MF ,F OF 3F &F &!F ""#F $ %F &9'F ( )F 0F P!!,/)-$("&;D$ $ & $ "$  $ 9$  $ 0$ L!!,/ -1-1.2`%)=AOS.2QU59(,)-$("&;DGy y * y + y , y /y n#oy p;qy rMsy t,uy vOwy x3yy z&{y @&Ay B"Cy D Ey F9Gy H Iy 0y v!!,/!! /3)-$("&;D@ @  @  @ - @ &@ "@  @ 9@  #@ 0@ D!!,/)-$("&;D$ $ & $ "$  $ 9$  $ 0$ r4c\rSrSrSr\SSj5r\SSj5r\R"S5\ \ \ \ \ \ \ \ \ \ SSS\ S.SSjj5r \R"S5SSS\ S .SS jj5r \R"S5\ \ \ \ \ \ \ \ \ \ \ SSS\ S .SS jj5r\R"S5\ \ \ \ SSS\ S .SSjj5r\R"S5SSS\ S .SSjj5rSrg)r(ir+c[U5$r-)AsyncAssistantsWithRawResponser/s r1r2!AsyncAssistants.with_raw_responses.d33r4c[U5$r6)$AsyncAssistantsWithStreamingResponser/s r1r8'AsyncAssistants.with_streaming_responses4D99r4r:Nr;c# SS0U =(d 0En URS[UUUUUUUUU U U S. [R5IShvN [ U U UUSS0S9[ S 9IShvN $N!N7f) rKrLrMrNrONrQTrRrT)rXrrrYrr rZs r1r[AsyncAssistants.create&sX'QM44::!!,/ -1-1.2%)=AOS.2QU59(,)-$("&;D'F %F * F + F , F #F ;F MF ,F OF 3F &F &!F ""#F $ %F &9'F ( )F 0F P!!,/)-$("&;D$ $ & $ "$  $ 9$  $ 0$ L!!,/ -1-1.2`%)=AOS.2QU59(,)-$("&;DGy y * y + y , y /y n#oy p;qy rMsy t,uy vOwy x3yy z&{y @&Ay B"Cy D Ey F9Gy H Iy 0y v!!,/!! /3)-$("&;D@ @  @  @ - @ &@ "@  @ 9@  ?@ 0@ D!!,/)-$("&;D$ $ & $ "$  $ 9$  $ 0$ r4c\rSrSrSSjrSrg)r.icXl[R"UR5Ul[R"UR5Ul[R"UR 5Ul[R"UR 5Ul[R"UR5UlgN) _assistantsr to_raw_response_wrapperr[rirqrrr0 assistantss r1__init__"AssistantsWithRawResponse.__init__s%  4 4!!   4 4##   4 4!!   4 4   4 4!!  r4rr[rrrirqNrr'rNonerrrrrrrr4r1r.r. r4r.c\rSrSrSSjrSrg)ricXl[R"UR5Ul[R"UR5Ul[R"UR 5Ul[R"UR 5Ul[R"UR5Ulgr)rr async_to_raw_response_wrapperr[rirqrrrs r1r'AsyncAssistantsWithRawResponse.__init__s%  : :!!   : :##   : :!!   : :   : :!!  r4rNrr(rrrrr4r1rrrr4rc\rSrSrSSjrSrg)r7i;cXl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ulgr)rrr[rirqrrrs r1r(AssistantsWithStreamingResponse.__init__<s% )!!  )##  )!!  )  )!!  r4rNrrrr4r1r7r7;rr4r7c\rSrSrSSjrSrg)riZcXl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ulgr)rrr[rirqrrrs r1r-AsyncAssistantsWithStreamingResponse.__init__[s% /!!  /##  /!!  /  /!!  r4rNrrrr4r1rrZrr4r)> __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.rr7rrr4r1rs#,,% KKKKK&:Y9 A-0<4<Ac * +j j Zj &j Z  >  >  >  r4