# 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, TypedDict

from ..._types import SequenceNotStr
from .assistant_tool_param import AssistantToolParam
from ..shared_params.metadata import Metadata
from ..shared.reasoning_effort import ReasoningEffort
from .assistant_response_format_option_param import AssistantResponseFormatOptionParam

__all__ = ["AssistantUpdateParams", "ToolResources", "ToolResourcesCodeInterpreter", "ToolResourcesFileSearch"]


class AssistantUpdateParams(TypedDict, total=False):
    description: Optional[str]
    """The description of the assistant. The maximum length is 512 characters."""

    instructions: Optional[str]
    """The system instructions that the assistant uses.

    The maximum length is 256,000 characters.
    """

    metadata: Optional[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: Union[
        str,
        Literal[
            "gpt-5",
            "gpt-5-mini",
            "gpt-5-nano",
            "gpt-5-2025-08-07",
            "gpt-5-mini-2025-08-07",
            "gpt-5-nano-2025-08-07",
            "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",
        ],
    ]
    """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: Optional[str]
    """The name of the assistant. The maximum length is 256 characters."""

    reasoning_effort: Optional[ReasoningEffort]
    """
    Constrains effort on reasoning for
    [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
    supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
    Reducing reasoning effort can result in faster responses and fewer tokens used
    on reasoning in a response.

    - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
      reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
      calls are supported for all reasoning values in gpt-5.1.
    - All models before `gpt-5.1` default to `medium` reasoning effort, and do not
      support `none`.
    - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
    - `xhigh` is currently only supported for `gpt-5.1-codex-max`.
    """

    response_format: Optional[AssistantResponseFormatOptionParam]
    """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: Optional[float]
    """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: Optional[ToolResources]
    """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: Iterable[AssistantToolParam]
    """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: Optional[float]
    """
    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.
    """


class ToolResourcesCodeInterpreter(TypedDict, total=False):
    file_ids: SequenceNotStr[str]
    """
    Overrides the list of
    [file](https://platform.openai.com/docs/api-reference/files) IDs made available
    to the `code_interpreter` tool. There can be a maximum of 20 files associated
    with the tool.
    """


class ToolResourcesFileSearch(TypedDict, total=False):
    vector_store_ids: SequenceNotStr[str]
    """
    Overrides the
    [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
    attached to this assistant. There can be a maximum of 1 vector store attached to
    the assistant.
    """


class ToolResources(TypedDict, total=False):
    """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.
    """

    code_interpreter: ToolResourcesCodeInterpreter

    file_search: ToolResourcesFileSearch
