feat: extract semantic beliefs from conversation

ref: N25B-380

src/control_backend/core/config.py

@@ -65,6 +65,7 @@ class BehaviourSettings(BaseModel):
     :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.
     """
 
     sleep_s: float = 1.0
@@ -82,6 +83,9 @@ 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 = 10
+
 
 class LLMSettings(BaseModel):
     """
@@ -89,10 +93,17 @@ 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.
     """
 
     local_llm_url: str = "http://localhost:1234/v1/chat/completions"
     local_llm_model: str = "gpt-oss"
+    chat_temperature = 1.0
+    code_temperature = 0.3
+    n_parallel: int = 4
 
 
 class VADSettings(BaseModel):