my_voice_assistant_v2/app/schemas.py
Dieter Schlüter 531b57e08d feat: Langzeit-Erinnerungen (#3b) und WebSocket-Streaming-Chat (#4, erster Increment)
#3b Langzeit-Erinnerungen:
- Store: memories-Tabelle + add/get/delete_memory (pro Nutzer)
- API: GET/POST/DELETE /api/me/memories
- chat.py injiziert Nutzer-Erinnerungen als System-Kontext ins LLM (sessionunabhaengig)
- ?debug zeigt memories_len

#4 Echtzeit (erster Increment):
- WS /ws/chat: dauerhafter Kanal, Event-Folge ack -> semantic -> audio (binaer) -> done
- Auth (Token-Query), Session-Gedaechtnis und Erinnerungen wie bei POST /api/chat
- Fehler als error-Event (422/403/502)

- Tests: 38 gruen (Erinnerungs-CRUD/Injektion, WebSocket-Streaming/Auth)
- Doku aktualisiert (README, BEDIENUNGSANLEITUNG, Architektur)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 04:26:55 +02:00

100 lines
2.3 KiB
Python

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
class UserCreate(BaseModel):
display_name: str = Field(min_length=1)
class UserCreated(BaseModel):
user_id: str
display_name: str
token: str # nur bei Erstellung sichtbar
class UserPrefs(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 MemoryCreate(BaseModel):
content: str = Field(min_length=1)
class MemoryOut(BaseModel):
id: int
content: str
created_at: str