mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-07-30 12:20:57 +08:00
github-actions[bot]GitHubspeakeasybotspeakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
92 lines
2.6 KiB
Python
92 lines
2.6 KiB
Python
"""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
|