refactor: VAD upgrade, retry, dead code cleanup, AGENT removal

- audio: switch VAD to webrtcvad with RMS gate + fallback to RMS
- audio: honor FOLLOWUP_TIMEOUT — short silence wait after bot response
- llm: retry with exponential backoff on network errors and 5xx
- llm: VOICE_MAX_TOKENS env (default 300) instead of hardcoded 150
- tts: optional VAD-based barge-in (BARGE_IN_ENABLED, off by default)
- tts: remove dead start_barge_in_listener / was_barge_in helpers
- config: drop AGENT/LUSYA_AGENT — routing happens via session_key
- modes: remove unused imports, pass FOLLOWUP_TIMEOUT to follow-up record()
- docs: full rewrite of README and CLAUDE.md to match current architecture

satellite/modes.py

@@ -1,9 +1,8 @@
 import os
-import sys
 
-from .config import GATEWAY_URL, AGENT, AGENTS, log
+from .config import GATEWAY_URL, AGENTS, FOLLOWUP_TIMEOUT, MAX_DURATION, log
 from .audio import record
-from .tts import speak, stop_speaking, is_speaking, start_barge_in_listener, was_barge_in
+from .tts import speak, stop_speaking
 from .llm import ask_agent_stream, is_reset_command, VOICE_SESSION_KEY
 
 WAKE_THRESHOLD = float(os.getenv("WAKE_THRESHOLD", "0.5"))
@@ -24,7 +23,6 @@ def _handle_reset(text: str, agent_id: str) -> bool:
                 "x-openclaw-session-key": cfg.get("session_key", VOICE_SESSION_KEY),
             },
             json={
-                "model": cfg["agent"],
                 "stream": False,
                 "messages": [{"role": "user", "content": "/new"}],
             },
@@ -40,11 +38,15 @@ def _handle_reset(text: str, agent_id: str) -> bool:
 
 
 def _conversation_loop(agent_id: str, agent_name: str = "Cosmo"):
-    """Основной цикл диалога — слушает и отвечает пока пользователь говорит."""
+    """Основной цикл диалога.
+    Первая запись — с большим таймаутом (MAX_DURATION), дальше — короткий FOLLOWUP_TIMEOUT."""
+    first = True
     while True:
-        text = record()
+        timeout = MAX_DURATION if first else FOLLOWUP_TIMEOUT
+        first = False
+        text = record(initial_silence_timeout=timeout)
         if not text:
-            print(f"😴 Тишина, жду активации...\n")
+            print("😴 Тишина, жду активации...\n")
             return
 
         print(f"📝 Ты → {agent_name}: {text}")
@@ -59,7 +61,6 @@ def _conversation_loop(agent_id: str, agent_name: str = "Cosmo"):
 def run_with_enter():
     print("\n🦞 Cosmo Satellite запущен (режим: Enter для активации)")
     print(f"   Gateway : {GATEWAY_URL}")
-    print(f"   Агент   : {AGENT}")
     print("\nНажми Enter → говори → получи ответ. Ctrl+C для выхода.\n")
 
     while True:
@@ -97,7 +98,6 @@ def run_with_porcupine():
                         input=True, frames_per_buffer=1280)
 
     print("✅ Слушаю через OpenWakeWord...")
-    # print("\nСкажи 'Космо' или 'Люся'...\n")  # TODO: после подключения Люси
 
     try:
         while True:
@@ -110,12 +110,7 @@ def run_with_porcupine():
                     print(f"PREDICTION cosmo: {cosmo_score:.3f}")
 
                 if cosmo_score > WAKE_THRESHOLD:
-                    if is_speaking():
-                        # Barge-in: прерываем TTS
-                        print("✋ Barge-in: прерываю ответ")
-                        stop_speaking()
-                        cosmo_model.reset()
-                        continue
+                    stop_speaking()  # на случай если TTS ещё играет
                     stream.stop_stream()
                     _conversation_loop("cosmo", "Cosmo")
                     cosmo_model.reset()
@@ -124,10 +119,8 @@ def run_with_porcupine():
 
                 # TODO: Люся — раскомментировать когда модель готова
                 # lusya_score = lusya_model.predict(pcm)["lusya"]
-                # if lusya_score > 0.1:
-                #     print(f"PREDICTION lusya: {lusya_score:.3f}")
-                # if lusya_score > 0.5:
-                #     print("✅ Услышала 'Люся'!")
+                # if lusya_score > WAKE_THRESHOLD:
+                #     stop_speaking()
                 #     stream.stop_stream()
                 #     _conversation_loop("lusya", "Люся")
                 #     lusya_model.reset()