feat: end to end connected for demo

Includes the Transcription agent. Involved updating the RI agent to receive messages from other agents, sending speech commands to the RI agent, and some performance optimizations.

ref: N25B-216

src/control_backend/agents/transcription/speech_recognizer.py

@@ -83,9 +83,6 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
 
     def recognize_speech(self, audio: np.ndarray) -> str:
         self.load_model()
-        return mlx_whisper.transcribe(audio,
-                                      path_or_hf_repo=self.model_name,
-                                      decode_options=self._get_decode_options(audio))["text"]
         return mlx_whisper.transcribe(audio, path_or_hf_repo=self.model_name)["text"].strip()