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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# Arquivos sensíveis e gerados — NÃO commitar
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.env
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venv/
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agents.db
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Contexts/*.json
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__pycache__/
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*.pyc
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*.pyo
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.pytest_cache/
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tests/
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||||
Termination of your rights under this section does not terminate the
|
||||
licenses of parties who have received copies or rights from you under
|
||||
this License. If your rights have been terminated and not permanently
|
||||
reinstated, you do not qualify to receive new licenses for the same
|
||||
material under section 10.
|
||||
|
||||
9. Acceptance Not Required for Having Copies.
|
||||
|
||||
You are not required to accept this License in order to receive or run
|
||||
a copy of the Program. Ancillary propagation of a covered work
|
||||
occurring solely as a consequence of using peer-to-peer transmission to
|
||||
receive a copy of the Program does not require acceptance. However,
|
||||
nothing other than this License grants you permission to propagate or
|
||||
modify any covered work. These actions infringe copyright if you do not
|
||||
accept this License. Therefore, by modifying or propagating a covered
|
||||
work, you indicate your acceptance of this License to do so.
|
||||
|
||||
10. Automatic Licensing of Downstream Recipients.
|
||||
|
||||
Each time you convey a covered work, the recipient automatically
|
||||
receives a license from the original licensors, to run, modify and
|
||||
propagate that work, subject to this License. You are not responsible
|
||||
for enforcing compliance by third parties with this License.
|
||||
|
||||
An "entity transaction" is a transaction transferring control of an
|
||||
organization, or substantially all assets of one, or subdividing an
|
||||
organization, or merging organizations. If propagation of a covered
|
||||
work results from an entity transaction, each party to that transaction
|
||||
who receives a copy of the work also receives whatever licenses to the
|
||||
work the party's predecessor in interest had or could give under the
|
||||
preceding paragraph, plus a right to possession of the Corresponding
|
||||
Source of the work from its predecessor in interest, if the predecessor
|
||||
has it or can get it with reasonable efforts.
|
||||
|
||||
You may not impose any further restrictions on the exercise of the
|
||||
rights granted or affirmed under this License. For example, you may
|
||||
not impose a license fee, royalty, or other charge for exercise of
|
||||
rights granted under this License, and you may not initiate litigation
|
||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
||||
any patent claim is infringed by making, using, selling, offering for
|
||||
sale, or importing the Program or any portion of it.
|
||||
|
||||
11. Patents.
|
||||
|
||||
A "contributor" is a copyright holder who authorizes use under this
|
||||
License of the Program or a work on which the Program is based. The
|
||||
work thus licensed is called the contributor's "contributor version".
|
||||
|
||||
A contributor's "essential patent claims" are all patent claims
|
||||
owned or controlled by the contributor, whether already acquired or
|
||||
hereafter acquired, that would be infringed by some manner, permitted
|
||||
by this License, of making, using, or selling its contributor version,
|
||||
but do not include claims that would be infringed only as a consequence
|
||||
of further modification of the contributor version. For purposes of
|
||||
this definition, "control" includes the right to grant patent
|
||||
sublicenses in a manner consistent with the requirements of this
|
||||
License.
|
||||
|
||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
||||
patent license under the contributor's essential patent claims, to make,
|
||||
use, sell, offer for sale, import and otherwise run, modify and
|
||||
propagate the contents of its contributor version.
|
||||
|
||||
In the following three paragraphs, a "patent license" is any express
|
||||
agreement or commitment, however denominated, not to enforce a patent
|
||||
(such as an express permission to practice a patent, or a covenant not
|
||||
to sue for patent infringement). To "grant" such a patent license to a
|
||||
party means to make such an agreement or commitment not to enforce a
|
||||
patent against the party.
|
||||
|
||||
If you convey a covered work, knowingly relying on a patent license,
|
||||
and the Corresponding Source of the work is not available for anyone to
|
||||
copy, free of charge and under the terms of this License, through a
|
||||
publicly available network server or other readily accessible means,
|
||||
then you must either (1) cause the Corresponding Source to be so
|
||||
available, or (2) arrange to deprive yourself of the benefit of the
|
||||
patent license for this particular work, or (3) arrange, in a manner
|
||||
consistent with the requirements of this License, to extend the patent
|
||||
license to downstream recipients. "Knowingly relying" means you have
|
||||
actual knowledge that, but for the patent license, your conveying the
|
||||
covered work in a country, or your recipient's use of the covered work
|
||||
in a country, would infringe one or more identifiable patents in that
|
||||
country that you have reason to believe are valid.
|
||||
|
||||
If, pursuant to or in connection with a single transaction or
|
||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
||||
covered work, and grant a patent license to some of the parties
|
||||
receiving the covered work authorizing them to use, propagate, modify
|
||||
or convey a specific copy of the covered work, then the patent license
|
||||
you grant is automatically extended to all recipients of the covered
|
||||
work and works based on it.
|
||||
|
||||
A patent license is "discriminatory" if it does not include within
|
||||
the scope of its coverage, prohibits the exercise of, or is conditioned
|
||||
on the non-exercise of one or more of the rights that are specifically
|
||||
granted under this License. You may not convey a covered work if you
|
||||
are a party to an arrangement with a third party that is in the business
|
||||
of distributing software, under which you make payment to the third
|
||||
party based on the extent of your activity of conveying the work, and
|
||||
under which the third party grants, to any of the parties who would
|
||||
receive the covered work from you, a discriminatory patent license (a)
|
||||
in connection with copies of the covered work conveyed by you (or copies
|
||||
made from those copies), or (b) primarily for and in connection with
|
||||
specific products or compilations that contain the covered work, unless
|
||||
you entered into that arrangement, or that patent license was granted,
|
||||
prior to 28 March 2007.
|
||||
|
||||
Nothing in this License shall be construed as excluding or limiting
|
||||
any implied license or other defenses to infringement that may be
|
||||
available to you under applicable patent law.
|
||||
|
||||
12. No Surrender of Others' Freedom.
|
||||
|
||||
If conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot convey a
|
||||
covered work so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you
|
||||
may not convey it at all. For example, if you agree to terms that
|
||||
obligate you to collect a royalty for further conveying from those to
|
||||
whom you convey the Program, the only way you could satisfy both those
|
||||
terms and this License would be to refrain entirely from conveying the
|
||||
Program.
|
||||
|
||||
13. Use with the GNU Affero General Public License.
|
||||
|
||||
Notwithstanding any other provision of this License, you have
|
||||
permission to link or combine any covered work with a work licensed
|
||||
under version 3 of the GNU Affero General Public License into a single
|
||||
combined work, and to convey the resulting work. The terms of this
|
||||
License will continue to apply to the part which is the covered work,
|
||||
but the special requirements of the GNU Affero General Public License,
|
||||
section 13, concerning interaction through a network will apply to the
|
||||
combination as such.
|
||||
|
||||
14. Revised Versions of this License.
|
||||
|
||||
The Free Software Foundation may publish revised and/or new versions
|
||||
of the GNU General Public License from time to time. Such new versions
|
||||
will be similar in spirit to the present version, but may differ in
|
||||
detail to address new concerns or situations.
|
||||
|
||||
Each version is given a distinguishing version number. If the
|
||||
Program specifies that a certain numbered version of the GNU General
|
||||
Public License "or any later version" applies to it, you have the option
|
||||
of following the terms and conditions either of that numbered version or
|
||||
of any later version published by the Free Software Foundation. If the
|
||||
Program does not specify a version number of the GNU General Public
|
||||
License, you may choose any version ever published by the Free Software
|
||||
Foundation.
|
||||
|
||||
If the Program specifies that a proxy can decide which future
|
||||
versions of the GNU General Public License can be used, that proxy's
|
||||
public statement of acceptance of a version permanently authorizes you
|
||||
to choose that version for the Program.
|
||||
|
||||
Later license versions may give you additional or different
|
||||
permissions. However, no additional obligations are imposed on any
|
||||
author or copyright holder as a result of your choosing to follow a
|
||||
later version.
|
||||
|
||||
15. Disclaimer of Warranty.
|
||||
|
||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE
|
||||
PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME
|
||||
THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. Limitation of Liability.
|
||||
|
||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR
|
||||
CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES,
|
||||
INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES
|
||||
ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT
|
||||
NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES
|
||||
SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE
|
||||
WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN
|
||||
ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
|
||||
|
||||
17. Interpretation of Sections 15 and 16.
|
||||
|
||||
If the disclaimer of warranty and limitation of liability provided
|
||||
above cannot be given local legal effect according to their terms,
|
||||
reviewing courts shall apply local law that most closely approximates
|
||||
an absolute waiver of all civil liability in connection with the
|
||||
Program, unless a warranty or assumption of liability accompanies a
|
||||
copy of the Program in return for a fee.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Programs
|
||||
|
||||
If you develop a new program, and you want it to be of the greatest
|
||||
possible use to the public, the best way to achieve this is to make it
|
||||
free software which everyone can redistribute and change under these
|
||||
terms.
|
||||
|
||||
To do so, attach the following notices to the program. It is safest
|
||||
to attach them to the start of each source file to most effectively
|
||||
state the exclusion of warranty; and each file should have at least the
|
||||
"copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
MultiAgentsAI - Sistema de multiplos agentes de IA conversando autonomamente.
|
||||
Copyright (C) 2026 Marco Costa (www.syspanel.com.br)
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License
|
||||
along with this program. If not, see <https://www.gnu.org/licenses/>.
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
If the program does terminal interaction, make it output a short
|
||||
notice like this when it starts in an interactive mode:
|
||||
|
||||
MultiAgentsAI Copyright (C) 2026 Marco Costa (www.syspanel.com.br)
|
||||
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
|
||||
This is free software, and you are welcome to redistribute it
|
||||
under certain conditions; type `show c' for details.
|
||||
|
||||
The hypothetical commands `show w' and `show c' should show the
|
||||
appropriate parts of the License. Actually, your program may
|
||||
operate differently with the commands; use the commands for the users
|
||||
to interact with the program as designed.
|
||||
|
||||
You should also get your employer (if you work as a programmer) or school,
|
||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
||||
For more information on this, see <https://www.gnu.org/licenses/gpl-faq.html>.
|
||||
@@ -0,0 +1,131 @@
|
||||
# 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).
|
||||
@@ -0,0 +1,106 @@
|
||||
# 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.
|
||||
Executable
+2
@@ -0,0 +1,2 @@
|
||||
# Gerado por IA
|
||||
# MultiAgentsAI - Pacote Principal
|
||||
Executable
+75
@@ -0,0 +1,75 @@
|
||||
# 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})"
|
||||
@@ -0,0 +1,45 @@
|
||||
# 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()
|
||||
Executable
+51
@@ -0,0 +1,51 @@
|
||||
# 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)
|
||||
Executable
+64
@@ -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)]
|
||||
Executable
+35
@@ -0,0 +1,35 @@
|
||||
#!/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
|
||||
@@ -0,0 +1,265 @@
|
||||
# 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()
|
||||
Executable
+132
@@ -0,0 +1,132 @@
|
||||
# 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.")
|
||||
Executable
+5
@@ -0,0 +1,5 @@
|
||||
"""
|
||||
Orchestrator compartilhado - variavel global para acesso pelo telegram_bot
|
||||
"""
|
||||
# Gerado por IA
|
||||
_orchestrator_ref = None
|
||||
Executable
+4
@@ -0,0 +1,4 @@
|
||||
requests>=2.28.0
|
||||
aiohttp>=3.8.0
|
||||
python-dotenv>=0.21.0
|
||||
python-telegram-bot>=20.0
|
||||
Executable
+428
@@ -0,0 +1,428 @@
|
||||
# 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("<", "<").replace(">", ">")
|
||||
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
|
||||
Reference in New Issue
Block a user