"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from mistralai.gcp.client.types import BaseModel, UNSET_SENTINEL
from mistralai.gcp.client.utils import validate_const
import pydantic
from pydantic import model_serializer
from pydantic.functional_validators import AfterValidator
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict


class PredictionTypedDict(TypedDict):
    r"""Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content."""

    type: Literal["content"]
    content: NotRequired[str]


class Prediction(BaseModel):
    r"""Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content."""

    type: Annotated[
        Annotated[
            Optional[Literal["content"]], AfterValidator(validate_const("content"))
        ],
        pydantic.Field(alias="type"),
    ] = "content"

    content: Optional[str] = ""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = set(["type", "content"])
        serialized = handler(self)
        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k)

            if val != UNSET_SENTINEL:
                if val is not None or k not in optional_fields:
                    m[k] = val

        return m


try:
    Prediction.model_rebuild()
except NameError:
    pass