+ ~j^RIHt^RIt^RIHtHtHt^RIHt^RIt^RI H t ^RI H t H t HtHtHtHtHt^RIHtHtHt^RIHt^R IHtHt^R IHtHt^R IH t H!t!^R I"H#t#H$t$H%t%^R I&H't'H(t(^RI)H*t*^RI+H,t,^RI-H.t.^RI/H0t0^RI1H2t2^RI3H4t4^RI5H6t6RR.t7!RR]4t8!RR]4t9!RR4t:!RR4t;!RR4t<!RR 4t=R#)!) 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]tRt^#tRt]RRl4t]RRl4t]P!R4R] R] R ] R ] R ] R ] R ] R] R] R] RRRRRRR] /RRll4t ]P!R4RRRRRRR] /RRll4t ]P!R4R] R] R ] R] R ] R ] R ] R ] R] R] R] RRRRRRR] /RRll4t]P!R4R] R] R] R ] RRRRRRR] /R!R"ll4t]P!R4RRRRRRR] /R#R$ll4tR%tR#)&r&4Build Assistants that can call models and use tools.cV^8dQhRR/#)returnAssistantsWithRawResponse)formats"u/Users/mitch_tango/dev/rabbit-r1-livekit/agent/.venv/lib/python3.14/site-packages/openai/resources/beta/assistants.py __annotate__Assistants.__annotate__'s//#</c \V4#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 )r-selfs&r0with_raw_responseAssistants.with_raw_response&s)..r3cV^8dQhRR/#)r+r,AssistantsWithStreamingResponser.)r/s"r0r1r21s55)H5r3c \V4#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 )r;r6s&r0with_streaming_response"Assistants.with_streaming_response0s/t44r3 deprecated description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headersN extra_query extra_bodytimeoutc XV^8dQhRRRRRRRRRRR R R R R RRRRRRRRRRRRRRRRR/#r+modelzUnion[str, ChatModel]rAOptional[str] | OmitrBrCOptional[Metadata] | OmitrDrE Optional[ReasoningEffort] | OmitrF3Optional[AssistantResponseFormatOptionParam] | OmitrGOptional[float] | OmitrHz6Optional[assistant_create_params.ToolResources] | OmitrI#Iterable[AssistantToolParam] | OmitrJrKHeaders | NonerL Query | NonerM Body | NonerN'float | httpx.Timeout | None | NotGivenr,rr.)r/s"r0r1r2:F F %F * F + F , F #F ;F MF ,F OF 3F &F &!F ""#F $ %F &9'F ( )F r3c RR/T ;'g/Cp VPR\RVRVRVRVRVR VR VR VR V R V RV / \P4\ V V VVRR/R7\ R7#) 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 /assistantsrQrArBrCrDrErFrGrHrIrJ bearer_authTrKrLrMrNsecuritybodyoptionscast_to)_postrrAssistantCreateParamsrrr7rQrArBrCrDrErFrGrHrIrJrKrLrMrNs&$$$$$$$$$$$$$$$r0createAssistants.create9sX'QMtyping_extensionsr@rrrlr}rrr__static_attributes__r.r3r0r&r&#s>//55!!,/F -1 F .2 F /3 F &*F >BF PTF /3F RVF 6:F )-F )-!F "%)#F $#'%F &Bqy rPTsy t/3uy vRVwy x6:yy z)-{y @)-Ay B%)Cy D#'Ey F'AsyncAssistants.with_streaming_responses4D99r3r@rArBrCrDrErFrGrHrIrJrKNrLrMrNc XV^8dQhRRRRRRRRRRR R R R R RRRRRRRRRRRRRRRRR/#rPr.)r/s"r0r1r'r\r3c "RR/T ;'g/Cp TPR\RVRVRVRVRVR VR VR VR V R V RV / \P4GRjxL \ V V VVRR/R7\ R7GRjxL #L'L5i)r^r_r`rarQrArBrCrDrErFrGrHrIrJNrbTrcre)rirrrjrrrks&$$$$$$$$$$$$$$$r0rlAsyncAssistants.create&sX'QMA: "A>5A<6A><A>c 0V^8dQhRRRRRRRRR R R R /#ror.)r/s"r0r1rrrr3c "V'g\RV: 24hRR/T;'g/CpVP\RVR7\VVVVRR/R7\R 7GR jxL #L5i) rtrur_r`rvrwrbTrcrxNryr|s&&$$$$r0r}AsyncAssistants.retrieves0Z[gZjkl l&QM44::!!,/F -1 F .2 F /3 F &*F >BF PTF /3F RVF 6:F )-F )-!F "%)#F $#'%F &Bqy rPTsy t/3uy vRVwy x6:yy z)-{y @)-Ay B%)Cy D#'Ey F __future__rrtypingrrrrhttpxr_typesr r r r r rr_utilsrrr_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-rr;rr.r3r0rs#,,% KKKKK&:Y9 A-0<4<Ac * +j j Zj &j Z  >  >  >  r3