Files
marcocosta10000 67e8df36ce feat: add complete multi-agent AI system with Telegram bot
Initial implementation of MultiAgentsAI featuring:
- Dynamic agent configuration via environment variables
- SQLite database and JSON daily context storage
- OpenRouter API integration for multiple AI models
- Telegram bot with commands for control, history, and interaction
- Autonomous conversation loop with pause/resume and agent silencing
- Model testing and statistics commands
2026-10-17 19:25:05 -03:00

46 lines
1.3 KiB
Python
Executable File

# Gerado por IA
import os
from dotenv import load_dotenv
load_dotenv()
def _parse_agents() -> list[dict]:
agents = []
idx = 1
while True:
name = os.getenv(f"AGENT_NAME_{idx}")
model = os.getenv(f"AGENT_MODEL_{idx}")
if not name or not model:
break
agents.append({"name": name, "model": model, "index": idx})
idx += 1
return agents
class Settings:
# Telegram
TELEGRAM_BOT_TOKEN: str = os.getenv("TELEGRAM_BOT_TOKEN", "")
TELEGRAM_CHAT_ID: str = os.getenv("TELEGRAM_CHAT_ID", "")
# OpenRouter
OPENROUTER_API_KEY: str = os.getenv("OPENROUTER_API_KEY", "")
OPENROUTER_BASE_URL: str = os.getenv("OPENROUTER_BASE_URL", "https://openrouter.ai/api/v1")
# Sistema
CONVERSATION_DELAY: int = int(os.getenv("CONVERSATION_DELAY_SEGUNDOS", "30"))
MAX_CONTEXT_MESSAGES: int = int(os.getenv("MAX_CONTEXT_MESSAGES", "50"))
MAX_TOKENS: int = int(os.getenv("MAX_TOKENS", "0"))
DB_PATH: str = os.getenv("DB_PATH", "agents.db")
CONTEXTS_DIR: str = os.getenv("CONTEXTS_DIR", "Contexts")
CONVERSATION_LANGUAGE: str = os.getenv("CONVERSATION_LANGUAGE", "pt_BR")
# Agentes
AGENTS: list[dict] = _parse_agents()
settings = Settings()
# Agentes silenciados (não participam do loop automático)
_silenced_agents: set[str] = set()