I can use text to get audio response and barge in

app/config.py

@@ -33,6 +33,29 @@ class Settings(BaseSettings):
     vad_min_speech_duration_ms: int = Field(default=250, description="Minimum speech duration in milliseconds")
     vad_eou_threshold_ms: int = Field(default=400, description="End of utterance (silence) threshold in milliseconds")
 
+    # OpenAI / LLM Configuration
+    openai_api_key: Optional[str] = Field(default=None, description="OpenAI API key")
+    openai_api_url: Optional[str] = Field(default=None, description="OpenAI API base URL (for Azure/compatible)")
+    llm_model: str = Field(default="gpt-4o-mini", description="LLM model name")
+    llm_temperature: float = Field(default=0.7, description="LLM temperature for response generation")
+    
+    # TTS Configuration
+    tts_provider: str = Field(default="siliconflow", description="TTS provider (edge, siliconflow)")
+    tts_voice: str = Field(default="anna", description="TTS voice name")
+    tts_speed: float = Field(default=1.0, description="TTS speech speed multiplier")
+    
+    # SiliconFlow Configuration
+    siliconflow_api_key: Optional[str] = Field(default=None, description="SiliconFlow API key")
+    siliconflow_tts_model: str = Field(default="FunAudioLLM/CosyVoice2-0.5B", description="SiliconFlow TTS model")
+    
+    # Duplex Pipeline Configuration
+    duplex_enabled: bool = Field(default=True, description="Enable duplex voice pipeline")
+    duplex_greeting: Optional[str] = Field(default=None, description="Optional greeting message")
+    duplex_system_prompt: Optional[str] = Field(
+        default="You are a helpful, friendly voice assistant. Keep your responses concise and conversational.",
+        description="System prompt for LLM"
+    )
+
     # Logging
     log_level: str = Field(default="INFO", description="Logging level")
     log_format: str = Field(default="json", description="Log format (json or text)")