Ops hardening: lead re-import, SMS health-watch, ambient office murmur

- scripts/reimport_leads.py drains appointment_requests.jsonl into Odoo
  (fallback leads were captured but invisible to staff forever); server.py
  now warns at startup when leads are pending.
- scripts/healthwatch.sh (cron, every minute): after 3 consecutive /health
  failures sends a Twilio SMS to ALERT_SMS_TO (30-min cooldown) + a recovery
  SMS. systemd handles restarts; this makes a human aware when that isn't
  enough. Tested end-to-end (DOWN + RECOVERED SMS delivered).
- Ambient office murmur (assets/office_ambience.wav, generated by
  scripts/make_ambience.py from low-passed unintelligible Kokoro babble +
  room tone) mixed continuously into outbound audio via pipecat
  SoundfileMixer, so callers hear a live office instead of dead silence
  while the agent thinks. AMBIENT_VOLUME/AMBIENT_ENABLED to tune/disable.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

bot.py

@@ -43,6 +43,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
     LLMUserAggregatorParams,
 )
+from pipecat.audio.mixers.soundfile_mixer import SoundfileMixer
 from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
 from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.turns.user_start import (
@@ -149,6 +150,19 @@ CALL_STATE_TRACKING = (
     if _call_state_env is not None
     else (LLM_PROVIDER == "ollama")
 )
+# Ambient office murmur mixed continuously into the OUTBOUND call audio, so the caller
+# hears a live-office room tone instead of dead digital silence while the agent thinks
+# (masks per-turn latency). File generated by scripts/make_ambience.py — unintelligible
+# by construction (low-passed). Mixed by pipecat's SoundfileMixer at the output transport,
+# which keeps streaming it even when the bot isn't speaking. Volume is the mixer's scale
+# on top of an already-quiet bed; 0.0/missing file/AMBIENT_ENABLED=false disables.
+AMBIENT_SOUND = os.environ.get("AMBIENT_SOUND", os.path.join(HERE, "assets", "office_ambience.wav"))
+AMBIENT_VOLUME = float(os.environ.get("AMBIENT_VOLUME", "0.10"))
+AMBIENT_ENABLED = (
+    os.environ.get("AMBIENT_ENABLED", "true").lower() not in ("false", "0", "no")
+    and AMBIENT_VOLUME > 0
+    and os.path.isfile(AMBIENT_SOUND)
+)
 # Record each call to a stereo WAV (caller = left, agent = right) for review/debugging.
 RECORD_CALLS = os.environ.get("RECORD_CALLS", "true").lower() not in ("false", "0", "no")
 RECORDINGS_DIR = os.environ.get("RECORDINGS_DIR", os.path.join(HERE, "recordings"))
@@ -836,6 +850,11 @@ async def run_agent(transport, caller_number=None, call_sid=None, do_capture=Tru
 
 async def run_call(websocket, serializer: TwilioFrameSerializer, caller_number=None, call_sid=None):
     """Phone entrypoint: wrap the Twilio Media Stream in a transport, run the shared agent."""
+    mixer = SoundfileMixer(
+        sound_files={"office": AMBIENT_SOUND},
+        default_sound="office",
+        volume=AMBIENT_VOLUME,
+    ) if AMBIENT_ENABLED else None
     transport = FastAPIWebsocketTransport(
         websocket=websocket,
         params=FastAPIWebsocketParams(
@@ -845,6 +864,7 @@ async def run_call(websocket, serializer: TwilioFrameSerializer, caller_number=N
             audio_out_sample_rate=PIPELINE_SAMPLE_RATE,
             add_wav_header=False,
             serializer=serializer,
+            audio_out_mixer=mixer,  # constant low office murmur masks reply latency
         ),
     )
     await run_agent(transport, caller_number=caller_number, call_sid=call_sid, do_capture=True)