# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

from __future__ import annotations

from typing import List, Union, Iterable, Optional
from typing_extensions import Literal, Required, TypedDict

from .assistant_tool_param import AssistantToolParam
from .assistant_response_format_option_param import AssistantResponseFormatOptionParam

__all__ = [
    "AssistantCreateParams",
    "ToolResources",
    "ToolResourcesCodeInterpreter",
    "ToolResourcesFileSearch",
    "ToolResourcesFileSearchVectorStore",
]


class AssistantCreateParams(TypedDict, total=False):
    model: Required[
        Union[
            str,
            Literal[
                "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/overview) for
    descriptions of them.
    """

    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[object]
    """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: Optional[str]
    """The name of the assistant. The maximum length is 256 characters."""

    response_format: Optional[AssistantResponseFormatOptionParam]
    """Specifies the format that the model must output.

    Compatible with
    [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
    all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

    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: 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: List[str]
    """
    A 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 ToolResourcesFileSearchVectorStore(TypedDict, total=False):
    file_ids: List[str]
    """
    A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
    add to the vector store. There can be a maximum of 10000 files in a vector
    store.
    """

    metadata: object
    """Set of 16 key-value pairs that can be attached to a vector store.

    This can be useful for storing additional information about the vector store in
    a structured format. Keys can be a maximum of 64 characters long and values can
    be a maxium of 512 characters long.
    """


class ToolResourcesFileSearch(TypedDict, total=False):
    vector_store_ids: List[str]
    """
    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.
    """

    vector_stores: Iterable[ToolResourcesFileSearchVectorStore]
    """
    A helper to create a
    [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
    with file_ids and attach it to this assistant. There can be a maximum of 1
    vector store attached to the assistant.
    """


class ToolResources(TypedDict, total=False):
    code_interpreter: ToolResourcesCodeInterpreter

    file_search: ToolResourcesFileSearch
