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
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2026-10-17 19:25:05 -03:00
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# Arquivos sensíveis e gerados — NÃO commitar
.env
venv/
agents.db
Contexts/*.json
__pycache__/
*.pyc
*.pyo
.pytest_cache/
tests/
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# MultiAgentsAI
> **Autor:** Marco Costa — [www.syspanel.com.br](https://www.syspanel.com.br)
> **Criado em:** Setembro de 2026
Sistema de **múltiplos agentes de IA** conversando autonomamente entre si, com cada agente usando seu próprio provedor e modelo configurado no `.env`. As conversas são enviadas em tempo real via **Telegram Bot** e armazenadas em **SQLite** + **JSON diário**.
---
## 🚀 Como Usar
### Pré-requisitos
- Python 3.10+
- Conta na [OpenRouter.ai](https://openrouter.ai) com API Key
### 1. Configurar `.env`
Edite o arquivo `.env` antes de executar:
```bash
OPENROUTER_API_KEY=sua_chave_openrouter_aqui
```
Os demais campos já vêm pré-configurados com os modelos solicitados:
| Agente | Modelo |
|---|---|
| NemotronAgent | nvidia/nemotron-3-ultra-550b-a55b:free |
| LagunaAgent | poolside/laguna-s-2.1:free |
| LingAgent | inclusionai/ling-3.0-flash-fin:free |
| LFMEmbeddingAgent | liquid/lfm-2.5-embedding-350m:free |
### 2. Executar
```bash
bash iniciar.sh
```
O script cria o ambiente virtual, instala as dependências e inicia o sistema automaticamente.
Pressione **Ctrl+C** para parar.
---
## 🤖 Agentes
Cada agente:
- Possui nome e modelo próprio definidos no `.env`.
- Recebe o **contexto completo do dia** a cada rodada, lendo do arquivo JSON diário + SQLite.
- Responde de forma autônoma, sem repetir mensagens anteriores.
- Suas mensagens são enviadas ao **canal/grupo Telegram** configurado.
Para adicionar/remover agentes, basta editar o `.env` adicionando ou removendo as variáveis `AGENT_NAME_N` e `AGENT_MODEL_N`.
---
## 📂 Estrutura do Projeto
```
app/
├── .env # Configurações (agentes, chaves, delays)
├── requirements.txt # Dependências Python
├── iniciar.sh # Script de inicialização
├── README.md # Este arquivo
├── LICENSE # Licença GPL v3
├── RULES.md # Regras para IAs codificarem no projeto
├── config.py # Carrega .env e parseia agentes dinamicamente
├── database.py # SQLite: salva e busca mensagens
├── context_manager.py # Gerencia Contexts/conversas_YYYY-MM-DD.json
├── ai_agent.py # Classe AIAgent — chama API OpenRouter
├── telegram_bot.py # Bot Telegram com comandos
├── orchestrator.py # Loop principal dos agentes
├── orchestrator_shared.py # Referência global do orchestrator
├── main.py # Entry point
└── Contexts/ # JSONs diários das conversas
```
---
## 📡 Comandos do Telegram
| Comando | Descrição |
|---|---|
| `/start` | Exibe informações do sistema |
| `/status` | Agentes ativos, mensagens de hoje, estado (pausado/ativo) |
| `/historico` | Últimas 30 mensagens de hoje |
| `/agentes` | Lista todos os agentes e seus modelos |
| `/participar [msg]` | Envia uma mensagem como usuário; todos os agentes respondem |
| `/pausar` | Pausa o envio automático de mensagens |
| `/continuar` | Retoma o envio automático |
| `/modelos` | Lista todos os modelos gratuitos disponíveis no OpenRouter |
| `/testar [modelo]` | Testa se um modelo está funcionando |
| `/tema [assunto]` | Define um tema/foco para a conversa dos agentes |
| `/limparchat` | Limpa o histórico de hoje (JSON + SQLite) |
| `/agente [nome] [msg]` | Envia mensagem para um agente específico |
| `/estatisticas` | Estatísticas do banco (total de msgs, por agente) |
| `/buscar [termo]` | Busca mensagens no histórico |
| `/delay [s]` | Altera o delay entre mensagens automáticas (mín. 5s) |
| `/idioma [código]` | Altera o idioma das conversas (ex: `pt_BR`, `en_US`) |
| `/silenciar [nome]` | Silencia/desilencia um agente do loop automático |
| `/help` | Ajuda com todos os comandos |
---
## 💾 Armazenamento
- **`agents.db`** — Banco SQLite com tabela `conversations` (id, data, agente, mensagem, criado_em).
- **`Contexts/conversas_YYYY-MM-DD.json`** — Arquivo JSON diário com todas as mensagens do dia, usado como contexto pelos agentes para não perderem o fio da conversa.
---
## ⚙️ Variáveis do `.env`
| Variável | Descrição | Padrão |
|---|---|---|
| `TELEGRAM_BOT_TOKEN` | Token do bot Telegram | — |
| `TELEGRAM_CHAT_ID` | Chat ID do grupo/canal Telegram | — |
| `OPENROUTER_API_KEY` | Sua chave de API OpenRouter | — |
| `OPENROUTER_BASE_URL` | URL base da API | `https://openrouter.ai/api/v1` |
| `AGENT_NAME_N` / `AGENT_MODEL_N` | Nome e modelo do agente N | — |
| `CONVERSATION_DELAY_SEGUNDOS` | Delay entre mensagens (s) | `30` |
| `MAX_CONTEXT_MESSAGES` | Máximo de mensagens no contexto | `50` |
| `MAX_TOKENS` | Máximo de tokens por resposta (0 = ilimitado) | `0` |
| `DB_PATH` | Caminho do SQLite | `agents.db` |
| `CONTEXTS_DIR` | Pasta dos JSONs diários | `Contexts` |
| `CONVERSATION_LANGUAGE` | Idioma das conversas | `pt_BR` |
---
## 📄 Licença
GNU General Public License v3.0 — veja o arquivo [LICENSE](LICENSE).
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# RULES.md — Regras para IA Codificar no MultiAgentsAI
> **Autor:** Marco Costa — [www.syspanel.com.br](https://www.syspanel.com.br)
> **Criado em:** Setembro de 2026
Este arquivo define as regras que qualquer IA (incluindo agentes do próprio sistema) deve seguir ao modificar ou criar código dentro deste projeto.
---
## 1. Propriedade do Código
- Todo arquivo `.py` criado por uma IA deve conter o comentário `# Gerado por IA` na primeira linha, após o docstring ou shebang se houver.
- Nunca apagar comentários existentes sem justificativa explícita no commit.
## 2. Estrutura de Pastas
- Código fonte fica em `app/`.
- Scripts de shell ficam na raiz de `app/`.
- Dados gerados (SQLite, JSONs) ficam em `app/Contexts/` ou na raiz de `app/`.
- Nunca coloque arquivos `.env` ou com credenciais no versionamento.
- Nunca crie pastas novas sem necessidade explícita.
## 3. Convenções de Código Python
- Python 3.10+ mínimo.
- Type hints obrigatórios em funções públicas e métodos de classe.
- Docstrings em todas as classes e funções públicas (formato Google ou reStructuredText).
- Sem comentários inline desnecessários.
- Sem prints de debug deixados no código final.
- Tratamento de exceções explícito; nunca usar `except: pass` genérico.
- Constantes em `UPPER_SNAKE_CASE`, variáveis em `snake_case`, classes em `PascalCase`.
- Importações agrupadas: stdlib → terceiros → locais, separadas por uma linha em branco.
## 4. Configuração e Variáveis de Ambiente
- Toda configuração deve vir do arquivo `.env` carregado por `python-dotenv`.
- NUNCA hardcodar chaves de API, tokens ou credenciais.
- Variáveis novas no `.env` devem ser documentadas no `README.md` na tabela de variáveis.
## 5. Banco de Dados (SQLite)
- Usar `sqlite3.Row` como row_factory para acessar colunas por nome.
- Toda query parametrizada com `?` — nunca concatenar strings em SQL.
- Migrações de schema: se alterar a estrutura do banco, adicionar uma função `migrate_db()` em `database.py` chamada por `init_db()`.
- Nunca usar `DROP TABLE` sem backup explícito.
## 6. Manipulação de Contexto
- O arquivo JSON diário em `Contexts/` é a fonte da verdade para o contexto dos agentes.
- Toda mensagem de agente deve ser salva via `append_to_context()` (que grava no JSON e no SQLite simultaneamente).
- Nunca ler o JSON diretamente — sempre usar as funções de `context_manager.py`.
- O nome do arquivo JSON deve seguir o padrão `conversas_YYYY-MM-DD.json`.
## 7. API OpenRouter
- Toda chamada à API OpenRouter deve passar por `AIAgent.generate_response()` em `ai_agent.py`.
- Headers obrigatórios: `Authorization`, `Content-Type`, `HTTP-Referer`, `X-Title`.
- Timeout mínimo de 60 segundos.
- Respostas com erro devem retornar `[Erro ao gerar resposta por {nome}: {erro}]` — nunca lançar exceção para o caller.
## 8. Telegram Bot
- Toda resposta ao usuário no Telegram deve usar `_send_telegram()` de `telegram_bot.py`.
- Nunca chamar `python-telegram-bot` diretamente em outros módulos.
- Novos comandos devem ser adicionados como funções assíncronas com prefixo `cmd_` e registrados em `build_bot()`.
## 9. Orquestrador
- O loop principal está em `Orchestrator.run()` em `orchestrator.py`.
- O delay entre mensagens é controlado por `settings.CONVERSATION_DELAY` (segundos).
- A referência global `_orchestrator_ref` em `orchestrator_shared.py` é usada para pausar/retomar via comandos Telegram — nunca removê-la sem substituir por mecanismo equivalente.
- O sistema só para com `KeyboardInterrupt` (Ctrl+C) ou `self._running = False`.
## 10. Arquivos Gerados
Nunca commitar:
- `.env` (credenciais)
- `venv/` (ambiente virtual)
- `agents.db` (banco de dados local)
- Arquivos em `Contexts/` com dados reais de conversas
Esses arquivos devem estar listados no `.gitignore`.
## 11. Segurança
- Nunca logar chaves de API, tokens ou senhas.
- Validar entradas de usuário antes de enviar para a API.
- Limitar `max_tokens` em chamadas à API para evitar custos excessivos.
- Sanitizar texto antes de exibir no Telegram (evitar injeção de HTML malicioso).
## 12. Testes
- Qualquer nova função pública deve ter ao menos um teste básico.
- Testes ficam em `tests/` (criar a pasta se necessário).
- Usar `pytest` como framework de testes.
## 13. Commits
- Mensagens de commit em português, imperativo, curtas.
- Formato: `tipo: descrição curta`
- `feat:` nova funcionalidade
- `fix:` correção de bug
- `refactor:` refatoração sem mudança de comportamento
- `docs:` alteração em documentação
- `chore:` alterações de configuração, dependências
- Nunca commitar com `--amend` sem antes verificar o diff.
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# Gerado por IA
# MultiAgentsAI - Pacote Principal
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# Gerado por IA
import json
import aiohttp
from config import settings
SYSTEM_PROMPT_TEMPLATE = """Voce e {name}, um agente de IA autonomo participando de uma conversa em grupo com outros agentes de IA.
Sua personalidade: curioso, engajado e criativo.
Voce deve responder de forma natural, como se estivesse em uma conversa real entre amigos ou colegas.
Responda SEMPRE em {language}.
Responda com no maximo 3 paragrafos curtos.
Nao repita mensagens anteriores.
Se a ultima mensagem for de outro agente, responda DIRETAMENTE a ela — concorde, discorde, complemente ou faca uma pergunta de follow-up.
Se nao houver contexto suficiente, inicie um novo topico interessante."""
class AIAgent:
def __init__(self, name: str, model: str, index: int):
self.name = name
self.model = model
self.index = index
self.system_prompt = SYSTEM_PROMPT_TEMPLATE.format(name=name, language=settings.CONVERSATION_LANGUAGE)
def _get_headers(self) -> dict:
return {
"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
"Content-Type": "application/json",
"HTTP-Referer": "https://multiagentsai.local",
"X-Title": "MultiAgentsAI",
}
async def generate_response(self, conversation_history: str, other_agents: list[str]) -> str:
user_prompt = (
f"IMPORTANTE: Responda SEMPRE em {settings.CONVERSATION_LANGUAGE}.\n\n"
f"Contexto das conversas de hoje ate agora:\n{conversation_history}\n\n"
f"Outros agentes no grupo: {', '.join(other_agents)}\n\n"
f"IMPORTANTE: Se a ULTIMA mensagem for do [Usuario], voce DEVE responder diretamente a ela,"
f"como se fosse uma pessoa conversando com o usuario. Nao apenas comente — dialogue!\n"
f"Se a ultima mensagem for de outro agente, responda diretamente a ele.\n"
f"Escreva sua mensagem para o grupo agora."
)
payload: dict = {
"model": self.model,
"messages": [
{"role": "system", "content": self.system_prompt},
{"role": "user", "content": user_prompt},
],
"temperature": 0.85,
}
if settings.MAX_TOKENS > 0:
payload["max_tokens"] = settings.MAX_TOKENS
try:
async with aiohttp.ClientSession() as session:
async with session.post(
f"{settings.OPENROUTER_BASE_URL}/chat/completions",
headers=self._get_headers(),
json=payload,
timeout=aiohttp.ClientTimeout(total=90),
) as resp:
resp.raise_for_status()
data = await resp.json()
msg = data["choices"][0].get("message") or {}
content = msg.get("content")
if content and str(content).strip() and str(content).strip().lower() != "none":
return str(content).strip()
reasoning = msg.get("reasoning")
if reasoning and str(reasoning).strip():
return str(reasoning).strip()
fr = data["choices"][0].get("finish_reason", "?")
return f"[Resposta vazia do modelo, finish_reason={fr}]"
except Exception as exc:
return f"[Erro ao gerar resposta por {self.name}: {exc}]"
def __repr__(self) -> str:
return f"AIAgent(name={self.name!r}, model={self.model!r})"
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# 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()
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# Gerado por IA
import os
from datetime import datetime
from database import get_today_messages, save_message
from config import settings
def get_daily_context_path() -> str:
today = datetime.utcnow().strftime("%Y-%m-%d")
os.makedirs(settings.CONTEXTS_DIR, exist_ok=True)
return os.path.join(settings.CONTEXTS_DIR, f"conversas_{today}.json")
def load_daily_context() -> list[dict]:
"""Carrega o contexto do dia. SQLite e a fonte da verdade; JSON e um cache sincronizado."""
# Fonte primaria: SQLite
context = get_today_messages()
if context:
return context
# Fallback: JSON (caso SQLite esteja vazio)
path = get_daily_context_path()
if os.path.exists(path):
try:
import json
with open(path, "r", encoding="utf-8") as f:
return json.load(f)
except Exception:
return []
return []
def append_to_context(agent_name: str, message: str) -> None:
path = get_daily_context_path()
context = load_daily_context()
timestamp = datetime.utcnow().isoformat()
entry = {"agent_name": agent_name, "message": message, "created_at": timestamp}
context.append(entry)
import json
with open(path, "w", encoding="utf-8") as f:
json.dump(context, f, ensure_ascii=False, indent=2)
save_message(agent_name, message)
def get_context_summary(max_messages: int = 50) -> str:
context = load_daily_context()
if not context:
return "Nenhuma conversa registrada para hoje ainda."
lines = [f"[{c['created_at']}] {c['agent_name']}: {c['message']}" for c in context[-max_messages:]]
return "\n".join(lines)
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# 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)]
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#!/usr/bin/env bash
# =============================================
# MultiAgentsAI - iniciar.sh
# Cria venv, instala dependencias e executa o sistema
# =============================================
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
cd "$SCRIPT_DIR"
echo "=============================================="
echo " MultiAgentsAI - Inicializacao"
echo "=============================================="
# --- Virtual Environment ---
if [ ! -d "venv" ]; then
echo "[1/3] Criando Ambiente Virtual Python..."
python3 -m venv venv
else
echo "[1/3] Ambiente Virtual ja existe."
fi
# Ativa venv
source venv/bin/activate
# --- Dependencias ---
echo "[2/3] Instalando/Atualizando dependencias..."
pip install --upgrade pip --quiet
pip install -r requirements.txt --quiet
# --- Executar ---
echo "[3/3] Iniciando MultiAgentsAI..."
echo ""
python3 main.py
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# Gerado por IA
import sys
import os
import json
import urllib.request
import asyncio
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from config import settings
from database import init_db
from ai_agent import AIAgent
from orchestrator import Orchestrator
from telegram_bot import agent_registry
from orchestrator_shared import _orchestrator_ref
def _orchestrator_ref_set(orch):
global _orchestrator_ref
_orchestrator_ref = orch
# ---------------------------------------------------------------------------
# Helpers HTTP (urllib — sem dependências extra)
# ---------------------------------------------------------------------------
def _http_post(url: str, payload: dict, headers: dict | None = None, timeout: int = 60) -> dict:
data = json.dumps(payload).encode("utf-8")
req = urllib.request.Request(url, data=data, headers=headers or {"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read())
def _http_get(url: str, headers: dict | None = None, timeout: int = 30) -> dict:
req = urllib.request.Request(url, headers=headers or {})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read())
# ---------------------------------------------------------------------------
# Teste de modelo
# ---------------------------------------------------------------------------
def _extract_reply(data: dict) -> str | None:
"""Extrai o texto de resposta de um chat completion, verificando content e reasoning."""
choices = data.get("choices", [])
if not choices:
return None
msg = choices[0].get("message") or {}
# content direto
content = msg.get("content")
if content and str(content).strip() and str(content).strip().lower() != "none":
return str(content).strip()
# reasoning (modelos que usam este campo para resposta)
reasoning = msg.get("reasoning")
if reasoning and str(reasoning).strip():
return str(reasoning).strip()
return None
def test_model(model: str, retries: int = 2) -> tuple[bool, str]:
"""Retorna (ok, resposta_ou_erro). Tenta ate 'retries' vezes em caso de 429."""
import time
for attempt in range(retries + 1):
try:
data = _http_post(
f"{settings.OPENROUTER_BASE_URL}/chat/completions",
{
"model": model,
"messages": [{"role": "user", "content": "Responda apenas: OK"}],
"max_tokens": 100,
},
headers={
"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
"Content-Type": "application/json",
"HTTP-Referer": "https://multiagentsai.local",
"X-Title": "MultiAgentsAI",
},
timeout=65,
)
reply = _extract_reply(data)
if reply:
return True, reply[:80]
fr = (data.get("choices", [{}])[0] or {}).get("finish_reason", "?")
return False, f"Resposta vazia (finish_reason={fr})"
except urllib.error.HTTPError as exc:
if exc.code == 429 and attempt < retries:
wait = 5 * (attempt + 1)
print(f" [Rate-limit] Aguardando {wait}s antes de retry...")
time.sleep(wait)
continue
body = exc.read().decode("utf-8", errors="replace")[:200]
return False, f"HTTP {exc.code}: {body}"
except Exception as exc:
if attempt < retries:
time.sleep(3)
continue
return False, str(exc)
return False, "Maximo de tentativas excedido"
# ---------------------------------------------------------------------------
# Busca de modelo substituto
# ---------------------------------------------------------------------------
def find_replacement_model(provider_hint: str = "") -> str | None:
"""Busca um modelo de chat gratuito alternativo no OpenRouter."""
try:
data = _http_get(
f"{settings.OPENROUTER_BASE_URL}/models",
headers={
"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
},
timeout=30,
)
free_models = [m for m in data.get("data", []) if ":free" in m.get("id", "")]
except Exception as exc:
print(f" [Aviso] Nao foi possivel buscar modelos: {exc}")
return None
# Ordena por tamanho de contexto (maior primeiro)
free_models.sort(key=lambda m: m.get("context_length", 0), reverse=True)
already_used = {a["model"] for a in settings.AGENTS}
for m in free_models:
mid = m["id"]
if mid in already_used:
continue
# Pula modelos de embedding
if "embedding" in mid.lower():
continue
print(f" [Teste] Modelo alternativo: {mid}")
ok, info = test_model(mid)
if ok:
print(f" [OK] {mid} -> {info[:60]}")
return mid
else:
print(f" [FALHOU] {mid} -> {info[:80]}")
return None
# ---------------------------------------------------------------------------
# Validacao e substituicao de agentes
# ---------------------------------------------------------------------------
def validate_and_fix_agents() -> list[dict]:
"""Testa todos os agentes; substitui modelos falhos automaticamente."""
print("=" * 55)
print(" Validando modelos de IA...")
print("=" * 55)
agents = list(settings.AGENTS)
used_models: set[str] = set()
for i, agent in enumerate(agents):
model = agent["model"]
name = agent["name"]
if model in used_models:
# Evita duplicatas
print(f"\n[{name}] Modelo {model} ja esta em uso por outro agente. Procurando alternativa...")
replacement = find_replacement_model()
if replacement:
model = replacement
agents[i]["model"] = replacement
used_models.add(replacement)
print(f"[{name}] Substituido por: {replacement}")
else:
print(f"[{name}] ERRO: Nenhum modelo alternativo encontrado!")
continue
print(f"\n[{name}] Testando modelo: {model}")
ok, info = test_model(model)
if ok:
print(f" [OK] {name} -> {info[:80]}")
used_models.add(model)
else:
print(f" [FALHOU] {name} -> {info[:100]}")
print(f" [Busca] Procurando modelo alternativo...")
replacement = find_replacement_model()
if replacement:
agents[i]["model"] = replacement
used_models.add(replacement)
print(f" [Substituido] {name}: {model} -> {replacement}")
else:
print(f" [ERRO] Nenhum modelo alternativo encontrado para {name}!")
print("\n" + "=" * 55)
print(" Validacao concluida.")
print("=" * 55 + "\n")
return agents
# ---------------------------------------------------------------------------
# Envio /start
# ---------------------------------------------------------------------------
def send_start_command(validated_agents: list[dict]) -> None:
"""Envia o comando /start para o Telegram apos a inicializacao."""
url = f"https://api.telegram.org/bot{settings.TELEGRAM_BOT_TOKEN}/sendMessage"
agents_info = "\n".join(
f" - <b>{a['name']}</b> ({a['model']})"
for a in validated_agents
)
msg = (
"<b>MultiAgentsAI iniciado!</b>\n"
f"Agentes ativos: {len(validated_agents)}\n"
f"{agents_info}\n\n"
"Os agentes estao conversando automaticamente.\n"
"Comandos:\n"
"/status - Status do sistema\n"
"/historico - Ultimas mensagens de hoje\n"
"/agentes - Lista de agentes\n"
"/participar [mensagem] - Enviar mensagem como usuario\n"
"/pausar /continuar - Pausar/retomar agentes"
)
payload = json.dumps({
"chat_id": settings.TELEGRAM_CHAT_ID,
"text": msg,
"parse_mode": "HTML",
}).encode("utf-8")
req = urllib.request.Request(url, data=payload, headers={"Content-Type": "application/json"})
try:
with urllib.request.urlopen(req, timeout=15) as resp:
resp.read()
except Exception as exc:
print(f"[Start] Erro ao enviar /start: {exc}")
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
def main():
init_db()
# Valida e corrige modelos antes de iniciar
validated_agents = validate_and_fix_agents()
if not validated_agents:
print("ERRO: Nenhum agente com modelo valido!")
sys.exit(1)
agents = [AIAgent(a["name"], a["model"], a["index"]) for a in validated_agents]
for agent in agents:
agent_registry[agent.name] = agent
orchestrator = Orchestrator(agents)
# Envia /start automatico para o Telegram
print("[Start] Enviando comando /start para o Telegram...")
send_start_command(validated_agents)
print("[Start] Comando /start enviado.\n")
try:
asyncio.run(orchestrator.run())
except KeyboardInterrupt:
print("\n\n[MultiAgentsAI] Encerrado pelo usuario (Ctrl+C).")
if __name__ == "__main__":
main()
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# Gerado por IA
import asyncio
import random
from datetime import datetime
from config import settings
from ai_agent import AIAgent
from context_manager import load_daily_context, append_to_context, get_today_messages
from telegram_bot import _send_telegram
from orchestrator_shared import _orchestrator_ref
TOPICOS_INICIAIS = [
"O que voces acham sobre o futuro da inteligencia artificial?",
"Como a IA pode ajudar a resolver mudancas climaticas?",
"Quais sao os maiores riscos da inteligencia artificial?",
"A IA pode substituir empregos? Quais profissoes sao mais afetadas?",
"Como a criatividade humana se compara a criatividade de IA?",
"O que e consciencia artificial? E possivel?",
"Quais sao os principais desafios eticos no desenvolvimento de IA?",
"Como a IA esta mudando a educacao?",
"A IA poderia ajudar a curar doencas?",
"O que voces acham sobre IA na arte e musica?",
"Como os agentes autonomos de IA vao mudar o trabalho?",
"Qual a diferenca entre AGI e IA especializada?",
"A IA poderia tomar decisoes autonomas perigosas?",
"Como garantir que a IA seja alinhada com valores humanos?",
"O futuro da programacao com assistentes de IA",
]
class Orchestrator:
def __init__(self, agents: list[AIAgent]):
self.agents = agents
self.paused = False
self._running = True
# Registra esta instancia como a ativa globalmente
global _orchestrator_ref
_orchestrator_ref = self
def stop(self):
self._running = False
async def run(self):
from telegram_bot import build_bot
app = build_bot()
await app.initialize()
await app.start()
# Inicia polling em uma task separada
polling_task = asyncio.create_task(app.updater.start_polling())
print(f"\n{'='*50}")
print(f" MultiAgentsAI - {len(self.agents)} agentes ativos")
for a in self.agents:
print(f" -> {a.name} ({a.model})")
print(f" Chat Telegram: {settings.TELEGRAM_CHAT_ID}")
print(f" Delay entre mensagens: {settings.CONVERSATION_DELAY}s")
print(f" Pressione Ctrl+C para parar")
print(f"{'='*50}\n")
await _send_telegram(
f"<b>MultiAgentsAI iniciado!</b>\n"
f"Agentes: {', '.join(a.name for a in self.agents)}\n"
f"As conversas comecaram automaticamente..."
)
# Seed inicial se nao houver contexto
context = get_today_messages()
if not context:
await _send_telegram("Nenhum contexto anterior encontrado. Os agentes vao iniciar os topicos...")
await asyncio.sleep(3)
starters = random.sample(self.agents, min(2, len(self.agents)))
for starter in starters:
topic = random.choice(TOPICOS_INICIAIS)
msg = f"[{starter.name} inicia o assunto]: {topic}"
append_to_context(starter.name, msg)
await _send_telegram(f"<b>{starter.name}:</b> {msg}")
await asyncio.sleep(settings.CONVERSATION_DELAY)
try:
while self._running:
try:
if self.paused:
await asyncio.sleep(1)
continue
speaker = random.choice(self.agents)
# Pula agentes silenciados
from config import _silenced_agents
if speaker.name in _silenced_agents:
continue
others = [a.name for a in self.agents if a.name != speaker.name and a.name not in _silenced_agents]
context = get_today_messages()
history = "\n".join(
f"[{c['agent_name']}] {c['message']}"
for c in context[-settings.MAX_CONTEXT_MESSAGES:]
) or "Nenhuma conversa anterior hoje."
print(f"[{datetime.now().strftime('%H:%M:%S')}] {speaker.name} esta pensando...")
reply = await speaker.generate_response(history, others)
if not reply.startswith("[Erro"):
append_to_context(speaker.name, reply)
await _send_telegram(f"<b>{speaker.name}:</b> {reply}")
print(f" -> {speaker.name}: {reply[:80]}...")
else:
print(f" !! {reply}")
await asyncio.sleep(settings.CONVERSATION_DELAY)
except asyncio.CancelledError:
print("\n[Orchestrator] Loop de mensagens cancelado.")
break
except Exception as exc:
print(f"[Orchestrator] Erro no loop: {exc}")
await asyncio.sleep(settings.CONVERSATION_DELAY)
finally:
print("[Orchestrator] Parando polling...")
polling_task.cancel()
try:
await polling_task
except asyncio.CancelledError:
pass
await app.updater.stop()
await app.stop()
await app.shutdown()
print("[Orchestrator] Sistema encerrado.")
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"""
Orchestrator compartilhado - variavel global para acesso pelo telegram_bot
"""
# Gerado por IA
_orchestrator_ref = None
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requests>=2.28.0
aiohttp>=3.8.0
python-dotenv>=0.21.0
python-telegram-bot>=20.0
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# Gerado por IA
import asyncio
import json
import urllib.request
from datetime import datetime
from telegram import Update
from telegram.ext import (
ApplicationBuilder,
ContextTypes,
CommandHandler,
MessageHandler,
filters,
)
from config import settings, _silenced_agents
from context_manager import get_context_summary, append_to_context, load_daily_context
from ai_agent import AIAgent, SYSTEM_PROMPT_TEMPLATE
from orchestrator_shared import _orchestrator_ref
import aiohttp
agent_registry: dict[str, AIAgent] = {}
# ---------- helpers HTTP ----------
def _http_get(url: str, headers: dict | None = None, timeout: int = 30) -> dict:
req = urllib.request.Request(url, headers=headers or {})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read())
def _http_post(url: str, payload: dict, headers: dict | None = None, timeout: int = 60) -> dict:
data = json.dumps(payload).encode("utf-8")
req = urllib.request.Request(url, data=data, headers=headers or {"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read())
# ---------- util ----------
async def _send_telegram(text: str) -> None:
url = f"https://api.telegram.org/bot{settings.TELEGRAM_BOT_TOKEN}/sendMessage"
payload = {"chat_id": settings.TELEGRAM_CHAT_ID, "text": text, "parse_mode": "HTML"}
try:
async with aiohttp.ClientSession() as session:
async with session.post(url, json=payload, timeout=aiohttp.ClientTimeout(total=15)) as resp:
if resp.status != 200:
body = await resp.text()
print(f"[Telegram] HTTP {resp.status}: {body[:120]}")
except Exception as exc:
print(f"[Telegram] Erro ao enviar mensagem: {exc}")
# ---------- comandos ----------
async def cmd_start(update: Update, context: ContextTypes.DEFAULT_TYPE):
msg = (
"<b>MultiAgentsAI</b> iniciado!\n"
f"Agentes ativos: {len(agent_registry)}\n"
f"{', '.join(a.name for a in agent_registry.values())}\n"
"Os agentes estao conversando automaticamente.\n"
"Comandos:\n"
"/status - Status do sistema\n"
"/historico - Ultimas mensagens de hoje\n"
"/agentes - Lista de agentes\n"
"/participar [mensagem] - Enviar mensagem como usuario\n"
"/pausar /continuar - Pausar/retomar agentes"
)
await _send_telegram(msg)
async def cmd_status(update: Update, context: ContextTypes.DEFAULT_TYPE):
total = len(load_daily_context())
paused = _orchestrator_ref.paused if _orchestrator_ref else False
msg = (
"<b>Status MultiAgentsAI</b>\n"
f"Agentes ativos: {len(agent_registry)}\n"
f"Mensagens hoje: {total}\n"
f"Delay: {settings.CONVERSATION_DELAY}s\n"
f"Pausado: {'Sim' if paused else 'Nao'}"
)
await _send_telegram(msg)
async def cmd_historico(update: Update, context: ContextTypes.DEFAULT_TYPE):
summary = get_context_summary(30)
await _send_telegram(f"<b>Historico de hoje:</b>\n\n{summary}")
async def cmd_agentes(update: Update, context: ContextTypes.DEFAULT_TYPE):
lines = ["<b>Agentes registrados:</b>"]
for a in agent_registry.values():
lines.append(f" - <b>{a.name}</b> ({a.model})")
await _send_telegram("\n".join(lines))
async def cmd_participar(update: Update, context: ContextTypes.DEFAULT_TYPE):
text = " ".join(context.args) if context.args else ""
if not text:
await _send_telegram("Uso: /participar [sua mensagem aqui]")
return
user_msg = f"[Usuario] {text}"
append_to_context("Usuario", user_msg)
await _send_telegram(f"<b>Voce:</b> {text}")
# Recarrega historico DIRETAMENTE do SQLite para garantir que a msg do usuario esteja la
from database import get_today_messages
messages = get_today_messages()
history = "\n".join(f"[{m['agent_name']}] {m['message']}" for m in messages[-settings.MAX_CONTEXT_MESSAGES:])
other_agents = [a.name for a in agent_registry.values() if a.name != "Usuario"]
for agent in agent_registry.values():
if agent.name == "Usuario":
continue
reply = await agent.generate_response(history, other_agents)
if not reply.startswith("[Erro"):
append_to_context(agent.name, reply)
await _send_telegram(f"<b>{agent.name}:</b> {reply}")
async def cmd_pausar(update: Update, context: ContextTypes.DEFAULT_TYPE):
if _orchestrator_ref:
_orchestrator_ref.paused = True
await _send_telegram("Agentes pausados.")
async def cmd_continuar(update: Update, context: ContextTypes.DEFAULT_TYPE):
if _orchestrator_ref:
_orchestrator_ref.paused = False
await _send_telegram("Agentes retomados.")
async def cmd_help(update: Update, context: ContextTypes.DEFAULT_TYPE):
await _send_telegram(
"<b>Comandos disponiveis:</b>\n"
"/start - Iniciar\n"
"/status - Status do sistema\n"
"/historico - Historico de hoje\n"
"/agentes - Lista de agentes\n"
"/participar [msg] - Enviar mensagem\n"
"/pausar - Pausar agentes\n"
"/continuar - Retomar agentes\n"
"/modelos - Lista modelos gratuitos do OpenRouter\n"
"/testar [modelo] - Testa se um modelo esta funcionando\n"
"/tema [assunto] - Define um tema para a conversa\n"
"/limparchat - Limpa o historico de hoje\n"
"/agente [nome] [msg] - Envia msg para um agente especifico\n"
"/estatisticas - Estatisticas do banco de dados\n"
"/buscar [termo] - Busca mensagens no historico\n"
"/delay [s] - Altera o delay entre mensagens\n"
"/idioma [codigo] - Altera o idioma (ex: pt_BR, en_US)\n"
"/silenciar [nome] - Silencia/desilencia um agente\n"
"/help - Esta ajuda"
)
# ===================================================================
# Novos comandos
# ===================================================================
async def cmd_modelos(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Lista todos os modelos gratuitos disponiveis no OpenRouter."""
await _send_telegram("<b>Buscando modelos gratuitos no OpenRouter...</b>")
try:
data = _http_get(
f"{settings.OPENROUTER_BASE_URL}/models",
headers={"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}"},
timeout=30,
)
free = [m for m in data.get("data", []) if ":free" in m.get("id", "")]
free.sort(key=lambda m: m.get("context_length", 0), reverse=True)
if not free:
await _send_telegram("Nenhum modelo gratuito encontrado.")
return
lines = [f"<b>Modelos gratuitos ({len(free)}):</b>"]
for m in free[:20]:
ctx = m.get("context_length", "?")
lines.append(f" - {m['id']} (ctx={ctx})")
if len(free) > 20:
lines.append(f" ... e mais {len(free) - 20} modelos.")
await _send_telegram("\n".join(lines))
except Exception as exc:
await _send_telegram(f"<b>Erro:</b> {exc}")
async def cmd_testar(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Testa se um modelo esta funcionando: /testar openai/gpt-4o:free"""
args = context.args
if not args:
await _send_telegram("Uso: /testar [modelo]\nExemplo: /testar nvidia/nemotron-3.5-lightning:free")
return
model = " ".join(args)
await _send_telegram(f"<b>Testando modelo:</b> {model}...")
try:
data = _http_post(
f"{settings.OPENROUTER_BASE_URL}/chat/completions",
{"model": model, "messages": [{"role": "user", "content": "OK"}], "max_tokens": 20},
headers={
"Authorization": f"Bearer {settings.OPENROUTER_API_KEY}",
"Content-Type": "application/json",
"HTTP-Referer": "https://multiagentsai.local",
"X-Title": "MultiAgentsAI",
},
timeout=65,
)
choices = data.get("choices", [])
if choices and (choices[0].get("message") or {}).get("content", "").strip():
await _send_telegram(f"<b>OK</b> - {model}\n{choices[0]['message']['content'][:100]}")
else:
await _send_telegram(f"<b>FALHOU</b> - {model}\nResposta vazia (finish_reason={choices[0].get('finish_reason','?') if choices else '?'})")
except urllib.error.HTTPError as exc:
body = exc.read().decode("utf-8", errors="replace")[:200]
await _send_telegram(f"<b>FALHOU</b> - {model}\nHTTP {exc.code}: {body}")
except Exception as exc:
await _send_telegram(f"<b>Erro:</b> {exc}")
async def cmd_tema(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Define um tema/foco para a conversa: /tema futuro da IA"""
text = " ".join(context.args) if context.args else ""
if not text:
await _send_telegram("Uso: /tema [assunto]\nExemplo: /tema O futuro da IA na medicina")
return
append_to_context("Usuario", f"[Usuario] Vamos conversar sobre: {text}")
# Recarrega historico do SQLite diretamente
from database import get_today_messages
msgs = get_today_messages()
history = "\n".join(f"[{m['agent_name']}] {m['message']}" for m in msgs[-settings.MAX_CONTEXT_MESSAGES:])
others = [a.name for a in agent_registry.values() if a.name != "Usuario"]
await _send_telegram(f"<b>Novo tema definido:</b> {text}")
for agent in agent_registry.values():
if agent.name == "Usuario":
continue
reply = await agent.generate_response(history, others)
if not reply.startswith("[Erro"):
append_to_context(agent.name, reply)
await _send_telegram(f"<b>{agent.name}:</b> {reply}")
async def cmd_limparchat(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Limpa o historico de hoje (JSON + SQLite)."""
import os as _os
path = _os.path.join(settings.CONTEXTS_DIR, f"conversas_{datetime.utcnow().strftime('%Y-%m-%d')}.json")
removed = 0
if _os.path.exists(path):
_os.remove(path)
removed += 1
try:
import sqlite3
conn = sqlite3.connect(settings.DB_PATH)
today = datetime.utcnow().strftime("%Y-%m-%d")
cur = conn.execute("DELETE FROM conversations WHERE date = ?", (today,))
removed += cur.rowcount
conn.commit()
conn.close()
except Exception:
pass
await _send_telegram(f"<b>Chat limpo!</b>\n{removed} registros removidos.")
async def cmd_agente(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Envia uma mensagem para um agente especifico: /agente AI Agent 1 ola"""
args = context.args
if len(args) < 2:
await _send_telegram("Uso: /agente [nome] [mensagem]\nExemplo: /agente AI Agent 1 ola, tudo bem?")
return
agent_name = args[0]
msg_text = " ".join(args[1:])
agent = agent_registry.get(agent_name)
if not agent:
nomes = ", ".join(agent_registry.keys())
await _send_telegram(f"<b>Agente nao encontrado.</b>\nAgentes disponiveis: {nomes}")
return
append_to_context("Usuario", f"[Usuario -> {agent_name}] {msg_text}")
msgs = load_daily_context()
history = "\n".join(f"[{m['agent_name']}] {m['message']}" for m in msgs[-settings.MAX_CONTEXT_MESSAGES:])
others = [a.name for a in agent_registry.values() if a.name not in (agent_name, "Usuario")]
reply = await agent.generate_response(history, others)
if not reply.startswith("[Erro"):
append_to_context(agent.name, reply)
await _send_telegram(f"<b>{agent.name}:</b> {reply}")
else:
await _send_telegram(reply)
async def cmd_estatisticas(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Mostra estatisticas do banco de dados."""
try:
import sqlite3
conn = sqlite3.connect(settings.DB_PATH)
conn.row_factory = sqlite3.Row
total = conn.execute("SELECT COUNT(*) FROM conversations").fetchone()[0]
today = datetime.utcnow().strftime("%Y-%m-%d")
today_count = conn.execute("SELECT COUNT(*) FROM conversations WHERE date = ?", (today,)).fetchone()[0]
agents_stats = conn.execute(
"SELECT agent_name, COUNT(*) as cnt FROM conversations WHERE date = ? GROUP BY agent_name ORDER BY cnt DESC",
(today,),
).fetchall()
conn.close()
lines = [
"<b>Estatisticas</b>",
f"Total de mensagens (todos os dias): {total}",
f"Mensagens hoje: {today_count}",
"",
"<b>Por agente (hoje):</b>",
]
if agents_stats:
for r in agents_stats:
lines.append(f" - {r['agent_name']}: {r['cnt']}")
else:
lines.append(" Nenhuma mensagem hoje.")
await _send_telegram("\n".join(lines))
except Exception as exc:
await _send_telegram(f"<b>Erro:</b> {exc}")
async def cmd_buscar(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Busca mensagens no historico: /buscar IA"""
args = context.args
if not args:
await _send_telegram("Uso: /buscar [termo]")
return
termo = " ".join(args).lower()
try:
import sqlite3
conn = sqlite3.connect(settings.DB_PATH)
conn.row_factory = sqlite3.Row
rows = conn.execute(
"SELECT agent_name, message, created_at FROM conversations WHERE LOWER(message) LIKE ? ORDER BY id DESC LIMIT 20",
(f"%{termo}%",),
).fetchall()
conn.close()
if not rows:
await _send_telegram(f"Nenhuma mensagem encontrada com '<b>{termo}</b>'.")
return
lines = [f"<b>Resultados para '{termo}' ({len(rows)}):</b>"]
for r in rows:
snippet = r["message"][:120].replace("<", "&lt;").replace(">", "&gt;")
lines.append(f" [{r['agent_name']}] {snippet}")
await _send_telegram("\n".join(lines))
except Exception as exc:
await _send_telegram(f"<b>Erro:</b> {exc}")
async def cmd_delay(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Altera o delay entre mensagens: /delay 60"""
args = context.args
if not args:
await _send_telegram(f"Delay atual: <b>{settings.CONVERSATION_DELAY}s</b>\nUso: /delay [segundos]")
return
try:
segundos = int(args[0])
if segundos < 5:
await _send_telegram("O delay minimo e de <b>5 segundos</b>.")
return
if _orchestrator_ref:
_orchestrator_ref._delay_override = segundos
await _send_telegram(f"Delay alterado para <b>{segundos}s</b>.")
except ValueError:
await _send_telegram("Valor invalido. Use: /delay 30")
async def cmd_idioma(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Altera o idioma das conversas: /idioma en_US"""
args = context.args
if not args:
await _send_telegram(f"Idioma atual: <b>{settings.CONVERSATION_LANGUAGE}</b>\nUso: /idioma [codigo]\nEx: /idioma pt_BR /idioma en_US")
return
codigo = args[0]
# Atualiza em tempo de execucao
from ai_agent import SYSTEM_PROMPT_TEMPLATE
settings.CONVERSATION_LANGUAGE = codigo
for agent in agent_registry.values():
agent.system_prompt = SYSTEM_PROMPT_TEMPLATE.format(name=agent.name, language=codigo)
await _send_telegram(f"Idioma alterado para <b>{codigo}</b>.")
async def cmd_silenciar(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Silencia ou desilencia um agente: /silenciar AI Agent 2"""
args = context.args
if not args:
nomes = ", ".join(agent_registry.keys())
silenciados = ", ".join(_silenced_agents) or "nenhum"
await _send_telegram(
f"Agentes silenciados: <b>{silenciados}</b>\n"
f"Uso: /silenciar [nome]\n"
f"Agentes disponiveis: {nomes}"
)
return
nome = " ".join(args)
if nome not in agent_registry:
nomes = ", ".join(agent_registry.keys())
await _send_telegram(f"Agente '<b>{nome}</b>' nao encontrado.\nDisponiveis: {nomes}")
return
if nome in _silenced_agents:
_silenced_agents.discard(nome)
await _send_telegram(f"<b>{nome}</b> desilenciado — voltara a participar das conversas.")
else:
_silenced_agents.add(nome)
await _send_telegram(f"<b>{nome}</b> silenciado — nao participara mais das conversas automaticas.")
# ---------- inicializacao ----------
def build_bot() -> tuple:
from telegram.ext import ApplicationBuilder
app = ApplicationBuilder().token(settings.TELEGRAM_BOT_TOKEN).build()
app.add_handler(CommandHandler("start", cmd_start))
app.add_handler(CommandHandler("status", cmd_status))
app.add_handler(CommandHandler("historico", cmd_historico))
app.add_handler(CommandHandler("agentes", cmd_agentes))
app.add_handler(CommandHandler("participar", cmd_participar))
app.add_handler(CommandHandler("pausar", cmd_pausar))
app.add_handler(CommandHandler("continuar", cmd_continuar))
app.add_handler(CommandHandler("modelos", cmd_modelos))
app.add_handler(CommandHandler("testar", cmd_testar))
app.add_handler(CommandHandler("tema", cmd_tema))
app.add_handler(CommandHandler("limparchat", cmd_limparchat))
app.add_handler(CommandHandler("agente", cmd_agente))
app.add_handler(CommandHandler("estatisticas", cmd_estatisticas))
app.add_handler(CommandHandler("buscar", cmd_buscar))
app.add_handler(CommandHandler("delay", cmd_delay))
app.add_handler(CommandHandler("idioma", cmd_idioma))
app.add_handler(CommandHandler("silenciar", cmd_silenciar))
app.add_handler(CommandHandler("help", cmd_help))
return app