# This file was auto-generated by Fern from our API Definition.

import typing

import pydantic
from ..core.pydantic_utilities import IS_PYDANTIC_V2
from ..core.unchecked_base_model import UncheckedBaseModel
from .deepgram_model import DeepgramModel


class Deepgram(UncheckedBaseModel):
    """
    Deepgram text-to-speech provider. Aura models use version v1 (default); Flux TTS uses version v2 and a flux-* model. Flux TTS is the default when agent.speak is omitted, using the flux-kit-en voice.
    """

    type: typing.Literal["deepgram"] = "deepgram"
    version: typing.Optional[str] = pydantic.Field(default=None)
    """
    The Deepgram text-to-speech model family. Accepted values: `v1` (Aura, the default) and `v2` (Flux TTS). Use `v1` with an aura-* model and `v2` with a flux-* model. Defaults to `v1` when omitted.
    """

    model: DeepgramModel = pydantic.Field()
    """
    Deepgram TTS model. Aura models (version v1) use the aura-* voices; Flux TTS (version v2) uses the flux-{voice}-{language} voices (e.g. flux-alexis-en). Defaults to flux-kit-en when agent.speak is omitted.
    """

    speed: typing.Optional[float] = pydantic.Field(default=None)
    """
    Speaking rate multiplier that adjusts the pace of generated speech while preserving natural prosody and voice quality. Aura (version v1) accepts any value from 0.7 to 1.5. Flux TTS (version v2) accepts only 0.85, 0.9, 0.95, 1.0, 1.05, 1.1 and 1.15; another value ends the session with FAILED_TO_SPEAK. Not yet supported in all languages.
    """

    if IS_PYDANTIC_V2:
        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
    else:

        class Config:
            frozen = True
            smart_union = True
            extra = pydantic.Extra.allow