Files
openrouter-python-sdk-retry…/src/openrouter/components/chatusage.py
T
github-actions[bot]GitHubspeakeasybotspeakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
0f116c9792 chore: 🐝 Update SDK - Generate 0.9.2 (#205)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev>
Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
2026-06-11 12:10:31 -04:00

203 lines
6.1 KiB
Python

"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from .costdetails import CostDetails, CostDetailsTypedDict
from openrouter.types import (
BaseModel,
Nullable,
OptionalNullable,
UNSET,
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Optional
from typing_extensions import NotRequired, TypedDict
class CompletionTokensDetailsTypedDict(TypedDict):
r"""Detailed completion token usage"""
accepted_prediction_tokens: NotRequired[Nullable[int]]
r"""Accepted prediction tokens"""
audio_tokens: NotRequired[Nullable[int]]
r"""Tokens used for audio output"""
reasoning_tokens: NotRequired[Nullable[int]]
r"""Tokens used for reasoning"""
rejected_prediction_tokens: NotRequired[Nullable[int]]
r"""Rejected prediction tokens"""
class CompletionTokensDetails(BaseModel):
r"""Detailed completion token usage"""
accepted_prediction_tokens: OptionalNullable[int] = UNSET
r"""Accepted prediction tokens"""
audio_tokens: OptionalNullable[int] = UNSET
r"""Tokens used for audio output"""
reasoning_tokens: OptionalNullable[int] = UNSET
r"""Tokens used for reasoning"""
rejected_prediction_tokens: OptionalNullable[int] = UNSET
r"""Rejected prediction tokens"""
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = [
"accepted_prediction_tokens",
"audio_tokens",
"reasoning_tokens",
"rejected_prediction_tokens",
]
nullable_fields = [
"accepted_prediction_tokens",
"audio_tokens",
"reasoning_tokens",
"rejected_prediction_tokens",
]
null_default_fields = []
serialized = handler(self)
m = {}
for n, f in type(self).model_fields.items():
k = f.alias or n
val = serialized.get(k)
serialized.pop(k, None)
optional_nullable = k in optional_fields and k in nullable_fields
is_set = (
self.__pydantic_fields_set__.intersection({n})
or k in null_default_fields
) # pylint: disable=no-member
if val is not None and val != UNSET_SENTINEL:
m[k] = val
elif val != UNSET_SENTINEL and (
not k in optional_fields or (optional_nullable and is_set)
):
m[k] = val
return m
class PromptTokensDetailsTypedDict(TypedDict):
r"""Detailed prompt token usage"""
audio_tokens: NotRequired[int]
r"""Audio input tokens"""
cache_write_tokens: NotRequired[int]
r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
cached_tokens: NotRequired[int]
r"""Cached prompt tokens"""
video_tokens: NotRequired[int]
r"""Video input tokens"""
class PromptTokensDetails(BaseModel):
r"""Detailed prompt token usage"""
audio_tokens: Optional[int] = None
r"""Audio input tokens"""
cache_write_tokens: Optional[int] = None
r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
cached_tokens: Optional[int] = None
r"""Cached prompt tokens"""
video_tokens: Optional[int] = None
r"""Video input tokens"""
class ChatUsageTypedDict(TypedDict):
r"""Token usage statistics"""
completion_tokens: int
r"""Number of tokens in the completion"""
prompt_tokens: int
r"""Number of tokens in the prompt"""
total_tokens: int
r"""Total number of tokens"""
completion_tokens_details: NotRequired[Nullable[CompletionTokensDetailsTypedDict]]
r"""Detailed completion token usage"""
cost: NotRequired[Nullable[float]]
r"""Cost of the completion"""
cost_details: NotRequired[Nullable[CostDetailsTypedDict]]
r"""Breakdown of upstream inference costs"""
is_byok: NotRequired[bool]
r"""Whether a request was made using a Bring Your Own Key configuration"""
prompt_tokens_details: NotRequired[Nullable[PromptTokensDetailsTypedDict]]
r"""Detailed prompt token usage"""
class ChatUsage(BaseModel):
r"""Token usage statistics"""
completion_tokens: int
r"""Number of tokens in the completion"""
prompt_tokens: int
r"""Number of tokens in the prompt"""
total_tokens: int
r"""Total number of tokens"""
completion_tokens_details: OptionalNullable[CompletionTokensDetails] = UNSET
r"""Detailed completion token usage"""
cost: OptionalNullable[float] = UNSET
r"""Cost of the completion"""
cost_details: OptionalNullable[CostDetails] = UNSET
r"""Breakdown of upstream inference costs"""
is_byok: Optional[bool] = None
r"""Whether a request was made using a Bring Your Own Key configuration"""
prompt_tokens_details: OptionalNullable[PromptTokensDetails] = UNSET
r"""Detailed prompt token usage"""
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = [
"completion_tokens_details",
"cost",
"cost_details",
"is_byok",
"prompt_tokens_details",
]
nullable_fields = [
"completion_tokens_details",
"cost",
"cost_details",
"prompt_tokens_details",
]
null_default_fields = []
serialized = handler(self)
m = {}
for n, f in type(self).model_fields.items():
k = f.alias or n
val = serialized.get(k)
serialized.pop(k, None)
optional_nullable = k in optional_fields and k in nullable_fields
is_set = (
self.__pydantic_fields_set__.intersection({n})
or k in null_default_fields
) # pylint: disable=no-member
if val is not None and val != UNSET_SENTINEL:
m[k] = val
elif val != UNSET_SENTINEL and (
not k in optional_fields or (optional_nullable and is_set)
):
m[k] = val
return m