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>
This commit is contained in:
github-actions[bot]
2026-07-07 21:50:31 +00:00
committed by GitHub
co-authored by speakeasybot speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
parent 2c673c0ca3
commit d81cd563db
41 changed files with 1163 additions and 147 deletions
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel, UNSET_SENTINEL
from pydantic import model_serializer
from typing import List, Optional
from typing_extensions import NotRequired, TypedDict
class STTSegmentTypedDict(TypedDict):
r"""A timestamped transcript segment, returned when response_format is verbose_json"""
end: float
r"""Segment end time in seconds"""
id: int
r"""Segment index within the transcript"""
start: float
r"""Segment start time in seconds"""
text: str
r"""Transcribed text of the segment"""
avg_logprob: NotRequired[float]
r"""Average log probability of the segment"""
compression_ratio: NotRequired[float]
r"""Compression ratio of the segment"""
no_speech_prob: NotRequired[float]
r"""Probability the segment contains no speech"""
seek: NotRequired[int]
r"""Seek offset of the segment"""
temperature: NotRequired[float]
r"""Temperature used for the segment"""
tokens: NotRequired[List[int]]
r"""Token IDs of the segment"""
class STTSegment(BaseModel):
r"""A timestamped transcript segment, returned when response_format is verbose_json"""
end: float
r"""Segment end time in seconds"""
id: int
r"""Segment index within the transcript"""
start: float
r"""Segment start time in seconds"""
text: str
r"""Transcribed text of the segment"""
avg_logprob: Optional[float] = None
r"""Average log probability of the segment"""
compression_ratio: Optional[float] = None
r"""Compression ratio of the segment"""
no_speech_prob: Optional[float] = None
r"""Probability the segment contains no speech"""
seek: Optional[int] = None
r"""Seek offset of the segment"""
temperature: Optional[float] = None
r"""Temperature used for the segment"""
tokens: Optional[List[int]] = None
r"""Token IDs of the segment"""
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = set(
[
"avg_logprob",
"compression_ratio",
"no_speech_prob",
"seek",
"temperature",
"tokens",
]
)
serialized = handler(self)
m = {}
for n, f in type(self).model_fields.items():
k = f.alias or n
val = serialized.get(k, serialized.get(n))
if val != UNSET_SENTINEL:
if val is not None or k not in optional_fields:
m[k] = val
return m