Merge remote-tracking branch 'origin/feat/reset-experiment-and-phase' into feat/visual-emotion-recognition

src/control_backend/core/config.py

@@ -74,10 +74,12 @@ class BehaviourSettings(BaseModel):
     :ivar vad_prob_threshold: Probability threshold for Voice Activity Detection.
     :ivar vad_initial_since_speech: Initial value for 'since speech' counter in VAD.
     :ivar vad_non_speech_patience_chunks: Number of non-speech chunks to wait before speech ended.
+    :ivar vad_begin_silence_chunks: The number of chunks of silence to prepend to speech chunks.
     :ivar transcription_max_concurrent_tasks: Maximum number of concurrent transcription tasks.
     :ivar transcription_words_per_minute: Estimated words per minute for transcription timing.
     :ivar transcription_words_per_token: Estimated words per token for transcription timing.
     :ivar transcription_token_buffer: Buffer for transcription tokens.
+    :ivar conversation_history_length_limit: The maximum amount of messages to extract beliefs from.
     """
 
     # ATTENTION: When adding/removing settings, make sure to update the .env.example file
@@ -89,7 +91,8 @@ class BehaviourSettings(BaseModel):
     # VAD settings
     vad_prob_threshold: float = 0.5
     vad_initial_since_speech: int = 100
-    vad_non_speech_patience_chunks: int = 3
+    vad_non_speech_patience_chunks: int = 15
+    vad_begin_silence_chunks: int = 6
 
     # transcription behaviour
     transcription_max_concurrent_tasks: int = 3
@@ -97,6 +100,9 @@ class BehaviourSettings(BaseModel):
     transcription_words_per_token: float = 0.75  # (3 words = 4 tokens)
     transcription_token_buffer: int = 10
 
+    # Text belief extractor settings
+    conversation_history_length_limit: int = 10
+
 
 class LLMSettings(BaseModel):
     """
@@ -104,12 +110,19 @@ class LLMSettings(BaseModel):
 
     :ivar local_llm_url: URL for the local LLM API.
     :ivar local_llm_model: Name of the local LLM model to use.
+    :ivar chat_temperature: The temperature to use while generating chat responses.
+    :ivar code_temperature: The temperature to use while generating code-like responses like during
+        belief inference.
+    :ivar n_parallel: The number of parallel calls allowed to be made to the LLM.
     """
 
     # ATTENTION: When adding/removing settings, make sure to update the .env.example file
 
     local_llm_url: str = "http://localhost:1234/v1/chat/completions"
     local_llm_model: str = "gpt-oss"
+    chat_temperature: float = 1.0
+    code_temperature: float = 0.3
+    n_parallel: int = 4
 
 
 class VADSettings(BaseModel):