#!/usr/bin/env -S uv run --script # /// script # requires-python = ">=3.11" # dependencies = [ # "python-dotenv", # ] # /// import argparse import json import os import subprocess import sys from pathlib import Path try: from dotenv import load_dotenv load_dotenv() except ImportError: pass # dotenv is optional def get_tts_script_path(): """ Determine which TTS script to use based on available API keys. Priority order: ElevenLabs > OpenAI > pyttsx3 """ # Get current script directory and construct utils/tts path script_dir = Path(__file__).parent tts_dir = script_dir / "utils" / "tts" # Check for ElevenLabs API key (highest priority) if os.getenv("ELEVENLABS_API_KEY"): elevenlabs_script = tts_dir / "elevenlabs_tts.py" if elevenlabs_script.exists(): return str(elevenlabs_script) # Check for OpenAI API key (second priority) if os.getenv("OPENAI_API_KEY"): openai_script = tts_dir / "openai_tts.py" if openai_script.exists(): return str(openai_script) # Fall back to pyttsx3 (no API key required) pyttsx3_script = tts_dir / "pyttsx3_tts.py" if pyttsx3_script.exists(): return str(pyttsx3_script) return None def announce_subagent_completion(): """Announce subagent completion using the best available TTS service.""" try: tts_script = get_tts_script_path() if not tts_script: return # No TTS scripts available # Use fixed message for subagent completion completion_message = "Subagent Complete" # Call the TTS script with the completion message subprocess.run( ["uv", "run", tts_script, completion_message], capture_output=True, # Suppress output timeout=10, # 10-second timeout ) except (subprocess.TimeoutExpired, subprocess.SubprocessError, FileNotFoundError): # Fail silently if TTS encounters issues pass except Exception: # Fail silently for any other errors pass def main(): try: # Parse command line arguments parser = argparse.ArgumentParser() parser.add_argument( "--chat", action="store_true", help="Copy transcript to chat.json" ) args = parser.parse_args() # Read JSON input from stdin input_data = json.load(sys.stdin) # Extract required fields session_id = input_data.get("session_id", "") stop_hook_active = input_data.get("stop_hook_active", False) # Ensure log directory exists log_dir = os.path.join(os.getcwd(), "logs") os.makedirs(log_dir, exist_ok=True) log_path = os.path.join(log_dir, "subagent_stop.json") # Read existing log data or initialize empty list if os.path.exists(log_path): with open(log_path) as f: try: log_data = json.load(f) except (json.JSONDecodeError, ValueError): log_data = [] else: log_data = [] # Append new data log_data.append(input_data) # Write back to file with formatting with open(log_path, "w") as f: json.dump(log_data, f, indent=2) # Handle --chat switch (same as stop.py) if args.chat and "transcript_path" in input_data: transcript_path = input_data["transcript_path"] if os.path.exists(transcript_path): # Read .jsonl file and convert to JSON array chat_data = [] try: with open(transcript_path) as f: for line in f: line = line.strip() if line: try: chat_data.append(json.loads(line)) except json.JSONDecodeError: pass # Skip invalid lines # Write to logs/chat.json chat_file = os.path.join(log_dir, "chat.json") with open(chat_file, "w") as f: json.dump(chat_data, f, indent=2) except Exception: pass # Fail silently # Announce subagent completion via TTS announce_subagent_completion() sys.exit(0) except json.JSONDecodeError: # Handle JSON decode errors gracefully sys.exit(0) except Exception: # Handle any other errors gracefully sys.exit(0) if __name__ == "__main__": main()