fix: should work now

Also added trimming to Windows transcription.

ref: N25B-452

src/control_backend/agents/llm/llm_agent.py

@@ -90,7 +90,7 @@ class LLMAgent(BaseAgent):
         full_message = ""
         async for chunk in self._query_llm(message.text, message.norms, message.goals):
             if self._interrupted:
-                self._interrupted_message = message
+                self._interrupted_message = message.text
                 self.logger.debug("Interrupted processing of previous message.")
                 break
             await self._send_reply(chunk)
@@ -173,7 +173,7 @@ class LLMAgent(BaseAgent):
                 full_message += token
                 current_chunk += token
 
-                self.logger.debug(
+                self.logger.llm(
                     "Received token: %s",
                     full_message,
                     extra={"reference": message_id},  # Used in the UI to update old logs

src/control_backend/agents/perception/transcription_agent/speech_recognizer.py

@@ -145,4 +145,6 @@ class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):
 
     def recognize_speech(self, audio: np.ndarray) -> str:
         self.load_model()
-        return whisper.transcribe(self.model, audio, **self._get_decode_options(audio))["text"]
+        return whisper.transcribe(self.model, audio, **self._get_decode_options(audio))[
+            "text"
+        ].strip()