my_voice_assistant_v2/app/schemas.py

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from typing import Literal
from pydantic import BaseModel, Field
class EndpointCapabilities(BaseModel):
id: str
kind: str
direction: Literal["input", "output"]
sample_rate: int = 16000
channels: int = 1
latency_class: Literal["low", "medium", "high"] = "medium"
supports_aec: bool = False
supports_barge_in: bool = False
networked: bool = False
bluetooth: bool = False
mobile: bool = False
default: bool = False
class AudioChunk(BaseModel):
data: bytes
sample_rate: int = 16000
channels: int = 1
format: str = "wav"
timestamp_ms: int = 0
class PipelineTrace(BaseModel):
raw_transcript: str | None = None
cleaned_transcript: str | None = None
semantic_response: str | None = None
spoken_response: str | None = None
tts_ready_text: str | None = None
class SpeakRequest(BaseModel):
text: str = Field(min_length=1)
voice: str | None = None
language: str | None = None
output_endpoint: str | None = None
tts_provider: str | None = None
class ChatRequest(BaseModel):
text: str = Field(min_length=1)
input_endpoint: str | None = None
output_endpoint: str | None = None
language: str | None = None
voice: str | None = None
stt_provider: str | None = None
llm_provider: str | None = None
tts_provider: str | None = None
class SessionRouteRequest(BaseModel):
input_endpoint: str | None = None
output_endpoint: str | None = None
stt_provider: str | None = None
llm_provider: str | None = None
tts_provider: str | None = None
language: str | None = None
class RouteInfo(BaseModel):
input_endpoint: str
output_endpoint: str
stt_provider: str
llm_provider: str
tts_provider: str
language: str