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feat: Token-Level-LLM-Streaming über WebSocket (#4 Ausbau)

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- LLMProvider.stream: Basis-Default (Fallback über complete) + SSE-Streaming
  fuer OpenRouter und lokalen OpenAI-kompatiblen Provider; gemeinsamer Parser sse_delta
- Orchestrator.chat_stream: LLM-Token live via on_token-Callback, danach
  Spoken-Adapter/Normalizer/TTS/Output; Fallback fuer Provider ohne stream
- WS /ws/chat: opt-in {"stream":true} -> ack -> token* -> semantic -> audio -> done
- Tests: 43 gruen (+5: SSE-Parsing, Default-Fallback, WS-Token-Flow)
- Doku aktualisiert; .gitignore: *.wav (generierte Audio-Ausgaben)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Dieter Schlüter 2026-06-17 04:37:37 +02:00
commit 379e002460
10 changed files with 302 additions and 24 deletions
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@ -7,6 +7,9 @@ config/voice-assistant.toml
# Persistente Daten (SQLite-DB etc.)
data/
# Generierte Audio-Ausgaben (z. B. chat_client.py)
*.wav
# Python
__pycache__/
*.py[cod]