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

database.py

@@ -0,0 +1,64 @@
+# Gerado por IA
+import sqlite3
+from datetime import datetime
+from config import settings
+
+
+def get_connection() -> sqlite3.Connection:
+    conn = sqlite3.connect(settings.DB_PATH)
+    conn.execute("PRAGMA journal_mode=WAL")
+    conn.row_factory = sqlite3.Row
+    return conn
+
+
+def init_db() -> None:
+    conn = get_connection()
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS conversations (
+            id          INTEGER PRIMARY KEY AUTOINCREMENT,
+            date        TEXT    NOT NULL,
+            agent_name  TEXT    NOT NULL,
+            message     TEXT    NOT NULL,
+            created_at  TEXT    NOT NULL
+        )
+    """)
+    conn.execute("""
+        CREATE INDEX IF NOT EXISTS idx_conversations_date ON conversations(date)
+    """)
+    conn.commit()
+    conn.close()
+
+
+def save_message(agent_name: str, message: str) -> None:
+    conn = get_connection()
+    today = datetime.utcnow().strftime("%Y-%m-%d")
+    now = datetime.utcnow().isoformat()
+    conn.execute(
+        "INSERT INTO conversations (date, agent_name, message, created_at) VALUES (?, ?, ?, ?)",
+        (today, agent_name, message, now),
+    )
+    conn.commit()
+    conn.close()
+
+
+def get_today_messages(limit: int | None = None) -> list[dict]:
+    conn = get_connection()
+    today = datetime.utcnow().strftime("%Y-%m-%d")
+    max_rows = limit or settings.MAX_CONTEXT_MESSAGES
+    rows = conn.execute(
+        "SELECT agent_name, message, created_at FROM conversations WHERE date = ? ORDER BY id ASC",
+        (today,),
+    ).fetchall()
+    conn.close()
+    return [{"agent_name": r["agent_name"], "message": r["message"], "created_at": r["created_at"]} for r in rows]
+
+
+def get_recent_messages(agent_name: str, limit: int = 10) -> list[dict]:
+    conn = get_connection()
+    today = datetime.utcnow().strftime("%Y-%m-%d")
+    rows = conn.execute(
+        "SELECT agent_name, message, created_at FROM conversations WHERE date = ? AND agent_name = ? ORDER BY id DESC LIMIT ?",
+        (today, agent_name, limit),
+    ).fetchall()
+    conn.close()
+    return [{"agent_name": r["agent_name"], "message": r["message"], "created_at": r["created_at"]} for r in reversed(rows)]