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chore: 🐝 Update SDK - Generate (spec change merged) 0.11.7 (#402)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
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speakeasybot
speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from openrouter.types import BaseModel, UNSET_SENTINEL
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from pydantic import model_serializer
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from typing import List, Optional
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from typing_extensions import NotRequired, TypedDict
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class STTSegmentTypedDict(TypedDict):
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r"""A timestamped transcript segment, returned when response_format is verbose_json"""
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end: float
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r"""Segment end time in seconds"""
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id: int
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r"""Segment index within the transcript"""
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start: float
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r"""Segment start time in seconds"""
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text: str
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r"""Transcribed text of the segment"""
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avg_logprob: NotRequired[float]
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r"""Average log probability of the segment"""
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compression_ratio: NotRequired[float]
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r"""Compression ratio of the segment"""
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no_speech_prob: NotRequired[float]
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r"""Probability the segment contains no speech"""
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seek: NotRequired[int]
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r"""Seek offset of the segment"""
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temperature: NotRequired[float]
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r"""Temperature used for the segment"""
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tokens: NotRequired[List[int]]
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r"""Token IDs of the segment"""
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class STTSegment(BaseModel):
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r"""A timestamped transcript segment, returned when response_format is verbose_json"""
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end: float
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r"""Segment end time in seconds"""
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id: int
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r"""Segment index within the transcript"""
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start: float
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r"""Segment start time in seconds"""
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text: str
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r"""Transcribed text of the segment"""
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avg_logprob: Optional[float] = None
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r"""Average log probability of the segment"""
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compression_ratio: Optional[float] = None
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r"""Compression ratio of the segment"""
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no_speech_prob: Optional[float] = None
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r"""Probability the segment contains no speech"""
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seek: Optional[int] = None
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r"""Seek offset of the segment"""
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temperature: Optional[float] = None
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r"""Temperature used for the segment"""
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tokens: Optional[List[int]] = None
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r"""Token IDs of the segment"""
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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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"avg_logprob",
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"compression_ratio",
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"no_speech_prob",
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"seek",
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"temperature",
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"tokens",
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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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