refactor: remove constants and put in config file

removed all constants from all files and put them in src/control_backend/core/config.py
also removed some old mock agents that we don't use anymore

ref: N25B-236

src/control_backend/core/config.py

@@ -4,10 +4,16 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 
 class ZMQSettings(BaseModel):
     internal_comm_address: str = "tcp://localhost:5560"
+    ri_command_address: str = "tcp://localhost:0000"
+    ri_communication_address: str = "tcp://*:5555"
+    vad_agent_address: str = "tcp://localhost:5558"
 
 
 class AgentSettings(BaseModel):
+    # connection settings
     host: str = "localhost"
+
+    # agent names
     bdi_core_agent_name: str = "bdi_core"
     belief_collector_agent_name: str = "belief_collector"
     text_belief_extractor_agent_name: str = "text_belief_extractor"
@@ -15,14 +21,47 @@ class AgentSettings(BaseModel):
     llm_agent_name: str = "llm_agent"
     test_agent_name: str = "test_agent"
     transcription_agent_name: str = "transcription_agent"
-
     ri_communication_agent_name: str = "ri_communication_agent"
     ri_command_agent_name: str = "ri_command_agent"
 
+    # default SPADE port
+    default_spade_port: int = 5222
+
+
+class BehaviourSettings(BaseModel):
+    default_rcv_timeout: float = 0.1
+    llm_response_rcv_timeout: float = 1.0
+    ping_sleep_s: float = 1.0
+    comm_setup_max_retries: int = 5
+    socket_poller_timeout_ms: int = 100
+
+    # VAD settings
+    vad_prob_threshold: float = 0.5
+    vad_initial_since_speech: int = 100
+    vad_non_speech_patience_chunks: int = 3
+
+    # transcription behaviour
+    transcription_max_concurrent_tasks: int = 3
+    transcription_words_per_minute: int = 300
+    transcription_words_per_token: float = 0.75  # (3 words = 4 tokens)
+
 
 class LLMSettings(BaseModel):
     local_llm_url: str = "http://localhost:1234/v1/chat/completions"
     local_llm_model: str = "openai/gpt-oss-20b"
+    request_timeout_s: int = 120
+
+
+class VADSettings(BaseModel):
+    repo_or_dir: str = "snakers4/silero-vad"
+    model_name: str = "silero_vad"
+    sample_rate_hz: int = 16000
+
+
+class SpeechModelSettings(BaseModel):
+    # model identifiers for speech recognition
+    mlx_model_name: str = "mlx-community/whisper-small.en-mlx"
+    openai_model_name: str = "small.en"
 
 
 class Settings(BaseSettings):
@@ -34,6 +73,12 @@ class Settings(BaseSettings):
 
     agent_settings: AgentSettings = AgentSettings()
 
+    behaviour_settings: BehaviourSettings = BehaviourSettings()
+
+    vad_settings: VADSettings = VADSettings()
+
+    speech_model_settings: SpeechModelSettings = SpeechModelSettings()
+
     llm_settings: LLMSettings = LLMSettings()
 
     model_config = SettingsConfigDict(env_file=".env")