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Diffstat (limited to '.venv/lib/python3.12/site-packages/openai/resources/beta/assistants.py')
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diff --git a/.venv/lib/python3.12/site-packages/openai/resources/beta/assistants.py b/.venv/lib/python3.12/site-packages/openai/resources/beta/assistants.py new file mode 100644 index 00000000..1c7cbf37 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/openai/resources/beta/assistants.py @@ -0,0 +1,1004 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from __future__ import annotations + +from typing import Union, Iterable, Optional +from typing_extensions import Literal + +import httpx + +from ... import _legacy_response +from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven +from ..._utils import ( + maybe_transform, + async_maybe_transform, +) +from ..._compat import cached_property +from ..._resource import SyncAPIResource, AsyncAPIResource +from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper +from ...pagination import SyncCursorPage, AsyncCursorPage +from ...types.beta import ( + assistant_list_params, + assistant_create_params, + assistant_update_params, +) +from ..._base_client import AsyncPaginator, make_request_options +from ...types.beta.assistant import Assistant +from ...types.shared.chat_model import ChatModel +from ...types.beta.assistant_deleted import AssistantDeleted +from ...types.shared_params.metadata import Metadata +from ...types.shared.reasoning_effort import ReasoningEffort +from ...types.beta.assistant_tool_param import AssistantToolParam +from ...types.beta.assistant_response_format_option_param import AssistantResponseFormatOptionParam + +__all__ = ["Assistants", "AsyncAssistants"] + + +class Assistants(SyncAPIResource): + @cached_property + def with_raw_response(self) -> AssistantsWithRawResponse: + """ + 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 + """ + return AssistantsWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> AssistantsWithStreamingResponse: + """ + 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 + """ + return AssistantsWithStreamingResponse(self) + + def create( + self, + *, + model: Union[str, ChatModel], + description: Optional[str] | NotGiven = NOT_GIVEN, + instructions: Optional[str] | NotGiven = NOT_GIVEN, + metadata: Optional[Metadata] | NotGiven = NOT_GIVEN, + name: Optional[str] | NotGiven = NOT_GIVEN, + reasoning_effort: Optional[ReasoningEffort] | NotGiven = NOT_GIVEN, + response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tool_resources: Optional[assistant_create_params.ToolResources] | NotGiven = NOT_GIVEN, + tools: Iterable[AssistantToolParam] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """ + 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 + """ + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._post( + "/assistants", + body=maybe_transform( + { + "model": model, + "description": description, + "instructions": instructions, + "metadata": metadata, + "name": name, + "reasoning_effort": reasoning_effort, + "response_format": response_format, + "temperature": temperature, + "tool_resources": tool_resources, + "tools": tools, + "top_p": top_p, + }, + assistant_create_params.AssistantCreateParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + def retrieve( + self, + assistant_id: str, + *, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """ + 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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._get( + f"/assistants/{assistant_id}", + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + def update( + self, + assistant_id: str, + *, + description: Optional[str] | NotGiven = NOT_GIVEN, + instructions: Optional[str] | NotGiven = NOT_GIVEN, + metadata: Optional[Metadata] | NotGiven = NOT_GIVEN, + model: 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-4.5-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", + ], + ] + | NotGiven = NOT_GIVEN, + name: Optional[str] | NotGiven = NOT_GIVEN, + reasoning_effort: Optional[ReasoningEffort] | NotGiven = NOT_GIVEN, + response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tool_resources: Optional[assistant_update_params.ToolResources] | NotGiven = NOT_GIVEN, + tools: Iterable[AssistantToolParam] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._post( + f"/assistants/{assistant_id}", + body=maybe_transform( + { + "description": description, + "instructions": instructions, + "metadata": metadata, + "model": model, + "name": name, + "reasoning_effort": reasoning_effort, + "response_format": response_format, + "temperature": temperature, + "tool_resources": tool_resources, + "tools": tools, + "top_p": top_p, + }, + assistant_update_params.AssistantUpdateParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + def list( + self, + *, + after: str | NotGiven = NOT_GIVEN, + before: str | NotGiven = NOT_GIVEN, + limit: int | NotGiven = NOT_GIVEN, + order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> SyncCursorPage[Assistant]: + """Returns 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. 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 + """ + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._get_api_list( + "/assistants", + page=SyncCursorPage[Assistant], + options=make_request_options( + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + query=maybe_transform( + { + "after": after, + "before": before, + "limit": limit, + "order": order, + }, + assistant_list_params.AssistantListParams, + ), + ), + model=Assistant, + ) + + def delete( + self, + assistant_id: str, + *, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> AssistantDeleted: + """ + 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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._delete( + f"/assistants/{assistant_id}", + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=AssistantDeleted, + ) + + +class AsyncAssistants(AsyncAPIResource): + @cached_property + def with_raw_response(self) -> AsyncAssistantsWithRawResponse: + """ + 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 + """ + return AsyncAssistantsWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> AsyncAssistantsWithStreamingResponse: + """ + 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 + """ + return AsyncAssistantsWithStreamingResponse(self) + + async def create( + self, + *, + model: Union[str, ChatModel], + description: Optional[str] | NotGiven = NOT_GIVEN, + instructions: Optional[str] | NotGiven = NOT_GIVEN, + metadata: Optional[Metadata] | NotGiven = NOT_GIVEN, + name: Optional[str] | NotGiven = NOT_GIVEN, + reasoning_effort: Optional[ReasoningEffort] | NotGiven = NOT_GIVEN, + response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tool_resources: Optional[assistant_create_params.ToolResources] | NotGiven = NOT_GIVEN, + tools: Iterable[AssistantToolParam] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """ + 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 + """ + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return await self._post( + "/assistants", + body=await async_maybe_transform( + { + "model": model, + "description": description, + "instructions": instructions, + "metadata": metadata, + "name": name, + "reasoning_effort": reasoning_effort, + "response_format": response_format, + "temperature": temperature, + "tool_resources": tool_resources, + "tools": tools, + "top_p": top_p, + }, + assistant_create_params.AssistantCreateParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + async def retrieve( + self, + assistant_id: str, + *, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """ + 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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return await self._get( + f"/assistants/{assistant_id}", + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + async def update( + self, + assistant_id: str, + *, + description: Optional[str] | NotGiven = NOT_GIVEN, + instructions: Optional[str] | NotGiven = NOT_GIVEN, + metadata: Optional[Metadata] | NotGiven = NOT_GIVEN, + model: 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-4.5-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", + ], + ] + | NotGiven = NOT_GIVEN, + name: Optional[str] | NotGiven = NOT_GIVEN, + reasoning_effort: Optional[ReasoningEffort] | NotGiven = NOT_GIVEN, + response_format: Optional[AssistantResponseFormatOptionParam] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tool_resources: Optional[assistant_update_params.ToolResources] | NotGiven = NOT_GIVEN, + tools: Iterable[AssistantToolParam] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> Assistant: + """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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return await self._post( + f"/assistants/{assistant_id}", + body=await async_maybe_transform( + { + "description": description, + "instructions": instructions, + "metadata": metadata, + "model": model, + "name": name, + "reasoning_effort": reasoning_effort, + "response_format": response_format, + "temperature": temperature, + "tool_resources": tool_resources, + "tools": tools, + "top_p": top_p, + }, + assistant_update_params.AssistantUpdateParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=Assistant, + ) + + def list( + self, + *, + after: str | NotGiven = NOT_GIVEN, + before: str | NotGiven = NOT_GIVEN, + limit: int | NotGiven = NOT_GIVEN, + order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]: + """Returns 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. 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 + """ + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return self._get_api_list( + "/assistants", + page=AsyncCursorPage[Assistant], + options=make_request_options( + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + query=maybe_transform( + { + "after": after, + "before": before, + "limit": limit, + "order": order, + }, + assistant_list_params.AssistantListParams, + ), + ), + model=Assistant, + ) + + async def delete( + self, + assistant_id: str, + *, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> AssistantDeleted: + """ + 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 + """ + if not assistant_id: + raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}") + extra_headers = {"OpenAI-Beta": "assistants=v2", **(extra_headers or {})} + return await self._delete( + f"/assistants/{assistant_id}", + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=AssistantDeleted, + ) + + +class AssistantsWithRawResponse: + def __init__(self, assistants: Assistants) -> None: + self._assistants = assistants + + self.create = _legacy_response.to_raw_response_wrapper( + assistants.create, + ) + self.retrieve = _legacy_response.to_raw_response_wrapper( + assistants.retrieve, + ) + self.update = _legacy_response.to_raw_response_wrapper( + assistants.update, + ) + self.list = _legacy_response.to_raw_response_wrapper( + assistants.list, + ) + self.delete = _legacy_response.to_raw_response_wrapper( + assistants.delete, + ) + + +class AsyncAssistantsWithRawResponse: + def __init__(self, assistants: AsyncAssistants) -> None: + self._assistants = assistants + + self.create = _legacy_response.async_to_raw_response_wrapper( + assistants.create, + ) + self.retrieve = _legacy_response.async_to_raw_response_wrapper( + assistants.retrieve, + ) + self.update = _legacy_response.async_to_raw_response_wrapper( + assistants.update, + ) + self.list = _legacy_response.async_to_raw_response_wrapper( + assistants.list, + ) + self.delete = _legacy_response.async_to_raw_response_wrapper( + assistants.delete, + ) + + +class AssistantsWithStreamingResponse: + def __init__(self, assistants: Assistants) -> None: + self._assistants = assistants + + self.create = to_streamed_response_wrapper( + assistants.create, + ) + self.retrieve = to_streamed_response_wrapper( + assistants.retrieve, + ) + self.update = to_streamed_response_wrapper( + assistants.update, + ) + self.list = to_streamed_response_wrapper( + assistants.list, + ) + self.delete = to_streamed_response_wrapper( + assistants.delete, + ) + + +class AsyncAssistantsWithStreamingResponse: + def __init__(self, assistants: AsyncAssistants) -> None: + self._assistants = assistants + + self.create = async_to_streamed_response_wrapper( + assistants.create, + ) + self.retrieve = async_to_streamed_response_wrapper( + assistants.retrieve, + ) + self.update = async_to_streamed_response_wrapper( + assistants.update, + ) + self.list = async_to_streamed_response_wrapper( + assistants.list, + ) + self.delete = async_to_streamed_response_wrapper( + assistants.delete, + ) |