feat: initial commit — VoiceCoach real-time voice coaching pipeline

Services: Pipecat agent (LiveKit + Claude + Whisper STT + Piper TTS),
SpeechBrain analysis service, Piper TTS service, web client (nginx).
Includes LiveKit server config and docker-compose orchestration.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

pipecat-agent/main.py

@@ -0,0 +1,46 @@
+"""
+Entry point for the Pipecat VoiceCoach agent.
+Reads config from environment variables.
+"""
+import asyncio
+import logging
+import os
+
+import structlog
+from livekit import api as livekit_api
+
+from pipeline import run_voice_coach_pipeline
+
+logging.basicConfig(level=logging.INFO)
+logger = structlog.get_logger()
+
+
+async def main():
+    anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+    livekit_api_key = os.environ["LIVEKIT_API_KEY"]
+    livekit_api_secret = os.environ["LIVEKIT_API_SECRET"]
+    livekit_url = os.getenv("LIVEKIT_URL", "ws://livekit-server:7880")
+
+    # Generate LiveKit access token for this agent
+    token = livekit_api.AccessToken(livekit_api_key, livekit_api_secret)
+    token.with_grants(livekit_api.VideoGrants(room_join=True, room="voicecoach"))
+    token.identity = "voicecoach-agent"
+    livekit_token = token.to_jwt()
+
+    session_context = {
+        "baseline_context": "",
+        "session_history": "",
+        "current_mode": "coaching mode",
+    }
+
+    logger.info("Starting VoiceCoach pipeline", livekit_url=livekit_url)
+    await run_voice_coach_pipeline(
+        livekit_url=livekit_url,
+        livekit_token=livekit_token,
+        anthropic_key=anthropic_key,
+        session_context=session_context,
+    )
+
+
+if __name__ == "__main__":
+    asyncio.run(main())