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119 lines
4.9 KiB
Python
119 lines
4.9 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .provideroptions import ProviderOptions, ProviderOptionsTypedDict
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from .sttinputaudio import STTInputAudio, STTInputAudioTypedDict
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from .stttimestampgranularity import STTTimestampGranularity
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from openrouter.types import BaseModel, UNSET_SENTINEL, UnrecognizedStr
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from pydantic import model_serializer
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from typing import List, Literal, Optional, Union
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from typing_extensions import NotRequired, TypedDict
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class STTRequestProviderTypedDict(TypedDict):
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r"""Provider-specific passthrough configuration"""
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options: NotRequired[ProviderOptionsTypedDict]
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r"""Provider-specific options keyed by provider slug. Only options for the matched provider are forwarded; the rest are ignored. Unrecognized keys are silently dropped."""
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class STTRequestProvider(BaseModel):
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r"""Provider-specific passthrough configuration"""
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options: Optional[ProviderOptions] = None
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r"""Provider-specific options keyed by provider slug. Only options for the matched provider are forwarded; the rest are ignored. Unrecognized keys are silently dropped."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(["options"])
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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STTRequestResponseFormat = Union[
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Literal[
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"json",
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"verbose_json",
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],
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UnrecognizedStr,
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]
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r"""Output format. \"json\" (default) returns { text, usage }. \"verbose_json\" additionally returns task, language, duration, and segment-level timestamps; only supported by OpenAI-compatible providers."""
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class STTRequestTypedDict(TypedDict):
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r"""Speech-to-text request input. Accepts a JSON body with input_audio containing base64-encoded audio."""
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input_audio: STTInputAudioTypedDict
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r"""Base64-encoded audio to transcribe"""
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model: str
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r"""STT model identifier"""
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language: NotRequired[str]
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r"""ISO-639-1 language code (e.g., \"en\", \"ja\"). Auto-detected if omitted."""
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provider: NotRequired[STTRequestProviderTypedDict]
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r"""Provider-specific passthrough configuration"""
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response_format: NotRequired[STTRequestResponseFormat]
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r"""Output format. \"json\" (default) returns { text, usage }. \"verbose_json\" additionally returns task, language, duration, and segment-level timestamps; only supported by OpenAI-compatible providers."""
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temperature: NotRequired[float]
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r"""Sampling temperature for transcription"""
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timestamp_granularities: NotRequired[List[STTTimestampGranularity]]
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r"""Timestamp detail levels to include when response_format is \"verbose_json\". \"segment\" returns segment-level timestamps; \"word\" additionally returns word-level timestamps in the words array. Ignored unless response_format is \"verbose_json\"."""
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class STTRequest(BaseModel):
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r"""Speech-to-text request input. Accepts a JSON body with input_audio containing base64-encoded audio."""
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input_audio: STTInputAudio
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r"""Base64-encoded audio to transcribe"""
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model: str
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r"""STT model identifier"""
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language: Optional[str] = None
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r"""ISO-639-1 language code (e.g., \"en\", \"ja\"). Auto-detected if omitted."""
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provider: Optional[STTRequestProvider] = None
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r"""Provider-specific passthrough configuration"""
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response_format: Optional[STTRequestResponseFormat] = None
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r"""Output format. \"json\" (default) returns { text, usage }. \"verbose_json\" additionally returns task, language, duration, and segment-level timestamps; only supported by OpenAI-compatible providers."""
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temperature: Optional[float] = None
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r"""Sampling temperature for transcription"""
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timestamp_granularities: Optional[List[STTTimestampGranularity]] = None
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r"""Timestamp detail levels to include when response_format is \"verbose_json\". \"segment\" returns segment-level timestamps; \"word\" additionally returns word-level timestamps in the words array. Ignored unless response_format is \"verbose_json\"."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(
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[
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"language",
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"provider",
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"response_format",
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"temperature",
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"timestamp_granularities",
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]
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)
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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