#!/usr/bin/env -S uv run --script # /// script # requires-python = ">=3.11" # dependencies = [ # "python-dotenv", # ] # /// import argparse import json import os import sys import subprocess from pathlib import Path from datetime import datetime 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 and MCP. Priority order: ElevenLabs MCP > OpenAI > local """ # Get current script directory and construct utils/tts path script_dir = Path(__file__).parent tts_dir = script_dir / "utils" / "tts" # Check for ElevenLabs MCP first (highest priority) elevenlabs_mcp_script = tts_dir / "elevenlabs_mcp.py" if elevenlabs_mcp_script.exists(): return str(elevenlabs_mcp_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 local TTS (no API key required) local_script = tts_dir / "local_tts.py" if local_script.exists(): return str(local_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, 'r') 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, 'r') 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()