zvhddlmZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZmZdd lm Z m!Z!m"Z"ddl#m$Z$m%Z%ddl&m'Z'ddl(m)Z)ddl*m+Z+ddl,m-Z-ddl.m/Z/ddl0m1Z1ddl2m3Z3ddgZ4GddeZ5GddeZ6GddZ7GddZ8GddZ9Gd d!Z:y)") annotations)UnionIterableOptional)LiteralN)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven)maybe_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 AssistantsAsyncAssistantsceZdZed dZeddZeeeeeeeeeeddded ddZddded ddZeeeeeeeeeeeddded dd Z eeeeddded  dd Z ddded dd Z y)r$ct|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 )AssistantsWithRawResponseselfs X/var/www/html/luna/venv/lib/python3.12/site-packages/openai/resources/beta/assistants.pywith_raw_responsezAssistants.with_raw_response#s)..ct|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 )AssistantsWithStreamingResponser*s r,with_streaming_responsez"Assistants.with_streaming_response-s/t44r.N description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutcddi| xsi} |jdt||||||||| | | 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: **o-series models only** Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. 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 modelr4r5r6r7r8r9r:r;r<r=r>r?r@rAbodyoptionscast_to)_postrrAssistantCreateParamsrrr+rHr4r5r6r7r8r9r:r;r<r=r>r?r@rAs r,createzAssistants.create6sH'QMr?r@rAs r,retrievezAssistants.retrievesh.Z[gZjkl l&QMr?r@rAc|std|ddi| xsi} |jd|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: **o-series models only** Constrains effort on reasoning for [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently supported values are `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. 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 rTrDrErU r4r5r6rHr7r8r9r:r;r<r=rIrJ)rXrNrrAssistantUpdateParamsrrr+r[r4r5r6rHr7r8r9r:r;r<r=r>r?r@rAs r,updatezAssistants.updates^Z[gZjkl l&QMr?r@rAcddi|xsi}|jdttt||||t ||||dt j tSaReturns a list of assistants. Args: after: A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. before: A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, starting with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. limit: A limit on the number of objects to be returned. 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Query | Noner@ Body | NonerA'float | httpx.Timeout | None | NotGivenrvr r[strr>r~r?rr@rrArrvr"r[rr4rxr5rxr6ryrHaUnion[str, Literal['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']] | NotGivenr7rxr8rzr9r{r:r|r;z:Optional[assistant_update_params.ToolResources] | NotGivenr<r}r=r|r>r~r?rr@rrArrvr)restr | NotGivenrfrrgint | NotGivenrh!Literal['asc', 'desc'] | NotGivenr>r~r?rr@rrArrvzSyncCursorPage[Assistant] r[rr>r~r?rr@rrArrvr __name__ __module__ __qualname__rr-r2r rQr\rcrprur.r,r$r$"s5//551:1:2;)2AJS\2;U^9B,5)-$("&;D'{ %{ . { / { 0 { '{ ?{ Q{ 0{ S{ 7{ *{ &!{ ""#{ $ %{ &9'{ ( ){ F)-$("&;D    &  "     9     L1:1:2;T)2AJS\2;U^9B,5)-$("&;D{h h . h / h 0 h )h b'ch d?eh fQgh h0ih jSkh l7mh n*oh t&uh v"wh x yh z9{h | }h Z!*!* )3<)-$("&;D? ?  ?  ? 1 ? &? "?  ? 9?  #? N)-$("&;D    &  "     9     r.ceZdZed dZeddZeeeeeeeeeeddded ddZddded ddZeeeeeeeeeeeddded dd Z eeeeddded  dd Z ddded dd Z y)r%ct|Sr()AsyncAssistantsWithRawResponser*s r,r-z!AsyncAssistants.with_raw_responses.d33r.ct|Sr0)$AsyncAssistantsWithStreamingResponser*s r,r2z'AsyncAssistants.with_streaming_responses4D99r.Nr3cKddi| xsi} |jdt||||||||| | | d tjd{t | | ||t d{S7$7w)rCrDrErFrGNrIrJ)rNrrrOrrrPs r,rQzAsyncAssistants.createsH'QMA: A>5A<6A><A>rdcddi|xsi}|jdttt||||t ||||dt j tSrj)rmrrrrrrnros r,rpzAsyncAssistants.list@syV'QMr~r?rr@rrArrvz5AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]rrrr.r,r%r%s544::1:1:2;)2AJS\2;U^9B,5)-$("&;D'{ %{ . { / { 0 { '{ ?{ Q{ 0{ S{ 7{ *{ &!{ ""#{ $ %{ &9'{ ( ){ F)-$("&;D    &  "     9     L1:1:2;T)2AJS\2;U^9B,5)-$("&;D{h h . h / h 0 h )h b'ch d?eh fQgh h0ih jSkh l7mh n*oh t&uh v"wh x yh z9{h | }h Z!*!* )3<)-$("&;D? ?  ?  ? 1 ? &? "?  ? 9?  ?? 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