+ Q?…jµÃãó¾€^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#)!é)Ú annotationsN)ÚUnionÚIterableÚOptional)ÚLiteral)Ú_legacy_response)ÚBodyÚOmitÚQueryÚHeadersÚNotGivenÚomitÚ not_given)Ú path_templateÚmaybe_transformÚasync_maybe_transform)Úcached_property)ÚSyncAPIResourceÚAsyncAPIResource)Úto_streamed_response_wrapperÚ"async_to_streamed_response_wrapper)ÚSyncCursorPageÚAsyncCursorPage)Úassistant_list_paramsÚassistant_create_paramsÚassistant_update_params)ÚAsyncPaginatorÚmake_request_options)Ú Assistant)Ú ChatModel)ÚAssistantDeleted)ÚMetadata)ÚReasoningEffort)ÚAssistantToolParam)Ú"AssistantResponseFormatOptionParamÚ AssistantsÚAsyncAssistantscó€]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$ll4tR%tR#)&r&ú4Build Assistants that can call models and use tools.có€V^8„dQhRR/#)éÚreturnÚAssistantsWithRawResponse©)Úformats"Ú‰/home/vela/workspace/domain/tn-silver/web/tn-site/.runtime/imagegen-venv/lib/python3.14/site-packages/openai/resources/beta/assistants.pyÚ __annotate__ÚAssistants.__annotate__'s€÷/ñ/Ð#<ñ/óc ó€\V4#©zï This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. 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For more information, see https://www.github.com/openai/openai-python#with_streaming_response )r;r6s&r0Úwith_streaming_responseÚ"Assistants.with_streaming_response0s€ô/¨tÓ4Ð4r3Ú deprecatedÚ descriptionÚ instructionsÚmetadataÚnameÚreasoning_effortÚresponse_formatÚ temperatureÚtool_resourcesÚtoolsÚtop_pÚ extra_headersNÚ extra_queryÚ extra_bodyÚtimeoutc óX€V^8„dQhRRRRRRRRRRR R R R R RRRRRRRRRRRRRRRRR/#©r+ÚmodelzUnion[str, ChatModel]rAúOptional[str] | OmitrBrCúOptional[Metadata] | OmitrDrEú Optional[ReasoningEffort] | OmitrFú3Optional[AssistantResponseFormatOptionParam] | OmitrGúOptional[float] | OmitrHz6Optional[assistant_create_params.ToolResources] | OmitrIú#Iterable[AssistantToolParam] | OmitrJrKúHeaders | NonerLú Query | NonerMú Body | NonerNú(float | httpx2.Timeout | None | NotGivenr,rr.)r/s"r0r1r2:óÀ€÷ ñ ð%ð ð*ð  ð +ð  ð ,ð  ð#ð ð;ð ðMð ð,ð ðOð ð3ð ð&ð ð &ð! ð""ð# ð$ ð% ð&:ð' ð( ñ) r3c óЀRR/T ;'g/Cp VPR\RVRVRVRVRVR VR VR VR V R V RV / \P4\ V V VVRR/R7\ R7#)áb 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. 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