Alexander Piskun 388b306a2b
feat(api-nodes): network client v2: async ops, cancellation, downloads, refactor (#10390)
* feat(api-nodes): implement new API client for V3 nodes

* feat(api-nodes): implement new API client for V3 nodes

* feat(api-nodes): implement new API client for V3 nodes

* converted WAN nodes to use new client; polishing

* fix(auth): do not leak authentification for the absolute urls

* convert BFL API nodes to use new API client; remove deprecated BFL nodes

* converted Google Veo nodes

* fix(Veo3.1 model): take into account "generate_audio" parameter
2025-10-23 22:37:16 -07:00

112 lines
3.3 KiB
Python

from typing import Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
class Image2(BaseModel):
bytesBase64Encoded: str
gcsUri: Optional[str] = None
mimeType: Optional[str] = None
class Image3(BaseModel):
bytesBase64Encoded: Optional[str] = None
gcsUri: str
mimeType: Optional[str] = None
class Instance1(BaseModel):
image: Optional[Union[Image2, Image3]] = Field(
None, description='Optional image to guide video generation'
)
prompt: str = Field(..., description='Text description of the video')
class PersonGeneration1(str, Enum):
ALLOW = 'ALLOW'
BLOCK = 'BLOCK'
class Parameters1(BaseModel):
aspectRatio: Optional[str] = Field(None, examples=['16:9'])
durationSeconds: Optional[int] = None
enhancePrompt: Optional[bool] = None
generateAudio: Optional[bool] = Field(
None,
description='Generate audio for the video. Only supported by veo 3 models.',
)
negativePrompt: Optional[str] = None
personGeneration: Optional[PersonGeneration1] = None
sampleCount: Optional[int] = None
seed: Optional[int] = None
storageUri: Optional[str] = Field(
None, description='Optional Cloud Storage URI to upload the video'
)
class VeoGenVidRequest(BaseModel):
instances: Optional[list[Instance1]] = None
parameters: Optional[Parameters1] = None
class VeoGenVidResponse(BaseModel):
name: str = Field(
...,
description='Operation resource name',
examples=[
'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8'
],
)
class VeoGenVidPollRequest(BaseModel):
operationName: str = Field(
...,
description='Full operation name (from predict response)',
examples=[
'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/OPERATION_ID'
],
)
class Video(BaseModel):
bytesBase64Encoded: Optional[str] = Field(
None, description='Base64-encoded video content'
)
gcsUri: Optional[str] = Field(None, description='Cloud Storage URI of the video')
mimeType: Optional[str] = Field(None, description='Video MIME type')
class Error1(BaseModel):
code: Optional[int] = Field(None, description='Error code')
message: Optional[str] = Field(None, description='Error message')
class Response1(BaseModel):
field_type: Optional[str] = Field(
None,
alias='@type',
examples=[
'type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse'
],
)
raiMediaFilteredCount: Optional[int] = Field(
None, description='Count of media filtered by responsible AI policies'
)
raiMediaFilteredReasons: Optional[list[str]] = Field(
None, description='Reasons why media was filtered by responsible AI policies'
)
videos: Optional[list[Video]] = None
class VeoGenVidPollResponse(BaseModel):
done: Optional[bool] = None
error: Optional[Error1] = Field(
None, description='Error details if operation failed'
)
name: Optional[str] = None
response: Optional[Response1] = Field(
None, description='The actual prediction response if done is true'
)