a f@slddlmZddlmZmZmZddlmZddlZddl 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/ddgZ0GdddeZ1GdddeZ2GdddZ3GdddZ4GdddZ5GdddZ6dS) ) 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)AssistantToolParam)"AssistantResponseFormatOptionParam AssistantsAsyncAssistantsc@s>eZdZeddddZeddddZeeeeeeeeeddded d d d d d d ddddddddddddZdddeddddddddddZeeeeeeeeeedddeddd d d dd d dd dddddddd!d"d#Z eeeeddded$ddd%d&ddddd'd( d)d*Z dddeddddddd+dd,d-Z dS).r!AssistantsWithRawResponsereturncCst|SN)r#selfr)Y/var/www/ai-form-bot/venv/lib/python3.9/site-packages/openai/resources/beta/assistants.pywith_raw_response$szAssistants.with_raw_responseAssistantsWithStreamingResponsecCst|Sr&)r,r'r)r)r*with_streaming_response(sz"Assistants.with_streaming_responseN description instructionsmetadatanameresponse_format temperaturetool_resourcestoolstop_p extra_headers extra_query extra_bodytimeoutUnion[str, ChatModel]Optional[str] | NotGivenOptional[object] | NotGiven7Optional[AssistantResponseFormatOptionParam] | NotGivenOptional[float] | NotGiven:Optional[assistant_create_params.ToolResources] | NotGiven'Iterable[AssistantToolParam] | NotGivenHeaders | None Query | None Body | None'float | httpx.Timeout | None | NotGivenrmodelr/r0r1r2r3r4r5r6r7r8r9r:r;r%cCsLddi| 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/overview) 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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. name: The name of the assistant. The maximum length is 256 characters. 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 guarantees 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 guarantees 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 rHr/r0r1r2r3r4r5r6r7r8r9r:r;bodyoptionscast_to)_postrrAssistantCreateParamsrrr(rHr/r0r1r2r3r4r5r6r7r8r9r:r;r)r)r*create,s,Z zAssistants.createrNstr assistant_idr8r9r: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 rJrK /assistants/rNrQrR ValueError_getrrr(rYr8r9r:r;r)r)r*retrieveszAssistants.retriever/r0r1rHr2r3r4r5r6r7r8r9r:r;str | NotGiven:Optional[assistant_update_params.ToolResources] | NotGivenrYr/r0r1rHr2r3r4r5r6r7r8r9r:r;r%cCsd|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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. 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/overview) for descriptions of them. name: The name of the assistant. The maximum length is 256 characters. 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 guarantees 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 guarantees 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[rJrKr\ r/r0r1rHr2r3r4r5r6r7rNrO)r_rSrrAssistantUpdateParamsrrr(rYr/r0r1rHr2r3r4r5r6r7r8r9r:r;r)r)r*updates0\ zAssistants.updateafterbeforelimitorderr8r9r:r;int | NotGiven!Literal['asc', 'desc'] | NotGivenzSyncCursorPage[Assistant] rmrnrorpr8r9r: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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