a _gz@sxddlmZddlmZmZmZddlmZddlZddl 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/ddl0m1Z1ddgZ2GdddeZ3GdddeZ4GdddZ5GdddZ6GdddZ7Gdd d Z8dS)!) 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) ChatModel) Assistant)AssistantDeleted)Metadata)AssistantToolParam)"AssistantResponseFormatOptionParam AssistantsAsyncAssistantsc@sFeZdZeddddZeddddZeeeeeeeeeeddded d d d d d d dddddddddddddZdddeddddddddddZeeeeeeeeeeedddeddd d d d d d ddd!dddddddd"d#d$Z eeeeddded%d&d&d'd(ddddd)d* d+d,Z dddeddddddd-dd.d/Z dS)0r"AssistantsWithRawResponsereturncCst|Sa This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )r$selfr*n/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/openai/resources/beta/assistants.pywith_raw_response%szAssistants.with_raw_responseAssistantsWithStreamingResponsecCst|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 )r-r(r*r*r+with_streaming_response/sz"Assistants.with_streaming_responseN description instructionsmetadatanamereasoning_effortresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutUnion[str, ChatModel]Optional[str] | NotGivenOptional[Metadata] | NotGiven5Optional[Literal['low', 'medium', 'high']] | NotGiven7Optional[AssistantResponseFormatOptionParam] | NotGivenOptional[float] | NotGiven:Optional[assistant_create_params.ToolResources] | NotGiven'Iterable[AssistantToolParam] | NotGivenHeaders | None Query | None Body | None'float | httpx.Timeout | None | NotGivenrmodelr1r2r3r4r5r6r7r8r9r:r;r<r=r>r&cCsNddi| p i} |jdt||||||||| | | d tjt| | ||dtdS) 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: **o1 and o3-mini 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 rLr1r2r3r4r5r6r7r8r9r:r;r<r=r>bodyoptionscast_to)_postrrAssistantCreateParamsrrr)rLr1r2r3r4r5r6r7r8r9r:r;r<r=r>r*r*r+create8s.d zAssistants.createrRstr assistant_idr;r<r=r>r&cCsD|std|ddi|pi}|jd|t||||dtdS)K Retrieves an assistant. Args: 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 ;Expected a non-empty value for `assistant_id` but received rNrO /assistants/rRrUrV ValueError_getrrr)r]r;r<r=r>r*r*r+retrieveszAssistants.retriever1r2r3rLr4r5r6r7r8r9r:r;r<r=r>$Union[str, Literal['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-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']] | NotGiven:Optional[assistant_update_params.ToolResources] | NotGivenr]r1r2r3rLr4r5r6r7r8r9r:r;r<r=r>r&cCsf|std|ddi| pi} |jd|t|||||||| | | | d tjt| |||dtdS)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: **o1 and o3-mini 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 r_rNrOr` r1r2r3rLr4r5r6r7r8r9r:rRrS)rcrWrrAssistantUpdateParamsrrr)r]r1r2r3rLr4r5r6r7r8r9r:r;r<r=r>r*r*r+updates4 zAssistants.updateafterbeforelimitorderr;r<r=r>str | NotGivenint | NotGiven!Literal['asc', 'desc'] | NotGivenzSyncCursorPage[Assistant] rqrrrsrtr;r<r=r>r&c CsFddi|p i}|jdttt||||t||||dtjdtdSaReturns a list of assistants. Args: after: A cursor for use in pagination. `after` is an object ID that defines your place in the list. 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Limit can range between 1 and 100, and the default is 20. order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order. 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 rNrOrP)rqrrrsrt)r;r<r=r>query)pagerUrL) _get_api_listrrrrrAssistantListParams r)rqrrrsrtr;r<r=r>r*r*r+listys(+zAssistants.listrcCsD|std|ddi|pi}|jd|t||||dtdS)H Delete an assistant. Args: 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_rNrOr`rRrarc_deleterrrer*r*r+deleteszAssistants.delete __name__ __module__ __qualname__rr,r/r rZrfrorrr*r*r*r+r"$sp  0&"2&"Gc@sFeZdZeddddZeddddZeeeeeeeeeeddded d d d d d d dddddddddddddZdddeddddddddddZeeeeeeeeeeedddeddd d d d d d ddd!dddddddd"d#d$Z eeeeddded%d&d&d'd(ddddd)d* d+d,Z dddeddddddd-dd.d/Z dS)0r#AsyncAssistantsWithRawResponser%cCst|Sr')rr(r*r*r+r,sz!AsyncAssistants.with_raw_response$AsyncAssistantsWithStreamingResponsecCst|Sr.)rr(r*r*r+r/sz'AsyncAssistants.with_streaming_responseNr0r?r@rArBrCrDrErFrGrHrIrJrrKcsZddi| p i} |jdt||||||||| | | d tjIdHt| | ||dtdIdHS)rMrNrOrPrQNrRrS)rWrrrXrrrYr*r*r+rZs.d zAsyncAssistants.createrRr[r\csJ|std|ddi|pi}|jd|t||||dtdIdHS)r^r_rNrOr`rRraNrbrer*r*r+rfnszAsyncAssistants.retrievergrhrirjcsr|std|ddi| pi} |jd|t|||||||| | | | d tjIdHt| |||dtdIdHS) rkr_rNrOr`rlNrRrS)rcrWrrrmrrrnr*r*r+ros4 zAsyncAssistants.updaterprurvrwz5AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]rxc CsFddi|p i}|jdttt||||t||||dtjdtdSry)r|rrrrrr}r~r*r*r+r2s(+zAsyncAssistants.listrcsJ|std|ddi|pi}|jd|t||||dtdIdHS)rr_rNrOr`rRraNrrer*r*r+rsszAsyncAssistants.deleterr*r*r*r+r#sp  0&"2&"Gc@seZdZdddddZdS)r$r"None assistantsr&cCsP||_t|j|_t|j|_t|j|_t|j|_t|j|_dSN) _assistantsrZto_raw_response_wrapperrZrfrorrr)rr*r*r+__init__s z"AssistantsWithRawResponse.__init__Nrrrrr*r*r*r+r$sr$c@seZdZdddddZdS)rr#rrcCsP||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrZasync_to_raw_response_wrapperrZrfrorrrr*r*r+rs z'AsyncAssistantsWithRawResponse.__init__Nrr*r*r*r+rsrc@seZdZdddddZdS)r-r"rrcCsF||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrrZrfrorrrr*r*r+rs z(AssistantsWithStreamingResponse.__init__Nrr*r*r*r+r-sr-c@seZdZdddddZdS)rr#rrcCsF||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr)rrrZrfrorrrr*r*r+rs z-AsyncAssistantsWithStreamingResponse.__init__Nrr*r*r*r+rsr)9 __future__rtypingrrrZtyping_extensionsrZhttpxr_typesr r r r r _utilsrrZ_compatrZ _resourcerr _responserrZ paginationrrZ types.betarrrZ _base_clientrrZtypes.chat_modelrZtypes.beta.assistantrZtypes.beta.assistant_deletedrZtypes.shared_params.metadatarZtypes.beta.assistant_tool_paramr Z1types.beta.assistant_response_format_option_paramr!__all__r"r#r$rr-rr*r*r*r+s>          <<