Como Conectar o WhatsApp ao DeepSeek
O DeepSeek expõe uma API compatível com a OpenAI, então você pode usar o mesmo pacote npm openai — basta apontar para o endpoint do DeepSeek. Isso facilita trocar entre OpenAI, DeepSeek e outros provedores compatíveis.
Pré-requisitos
- Uma sessão pareada do whatsmeow-node (Como Parear)
- Uma chave de API do DeepSeek (defina como variável de ambiente
DEEPSEEK_API_KEY) — obtenha uma em platform.deepseek.com - O SDK da OpenAI:
npm install openai
Passo 1: Configurar os Dois Clients
A única diferença em relação à OpenAI é o baseURL e a chave de API:
import { createClient } from "@whatsmeow-node/whatsmeow-node";
import OpenAI from "openai";
const client = createClient({ store: "session.db" });
const openai = new OpenAI({
baseURL: "https://api.deepseek.com",
apiKey: process.env.DEEPSEEK_API_KEY,
});
const SYSTEM_PROMPT = "You are a helpful WhatsApp assistant. Keep responses concise — under 500 characters when possible, since this is a chat interface.";
Passo 2: Tratar Mensagens Recebidas
client.on("message", async ({ info, message }) => {
if (info.isFromMe) return;
const text =
(message.conversation as string) ??
(message.extendedTextMessage as { text?: string } | undefined)?.text;
if (!text) return;
await client.sendChatPresence(info.chat, "composing");
const reply = await askDeepSeek(info.sender, text);
await client.sendMessage(info.chat, { conversation: reply });
});
Passo 3: Enviar para o DeepSeek
async function askDeepSeek(userJid: string, userMessage: string): Promise<string> {
const response = await openai.chat.completions.create({
model: "deepseek-chat",
messages: [
{ role: "system", content: SYSTEM_PROMPT },
{ role: "user", content: userMessage },
],
});
return response.choices[0].message.content ?? "I couldn't generate a response.";
}
informação
O DeepSeek também oferece o deepseek-reasoner para tarefas de raciocínio complexo. Troque o nome do modelo para experimentar.
Passo 4: Adicionar Histórico de Conversas
Como o DeepSeek usa o formato compatível com a OpenAI, o padrão de histórico é idêntico:
import type { ChatCompletionMessageParam } from "openai/resources/chat/completions";
const conversations = new Map<string, ChatCompletionMessageParam[]>();
const MAX_HISTORY = 20;
async function askDeepSeek(userJid: string, userMessage: string): Promise<string> {
const history = conversations.get(userJid) ?? [];
history.push({ role: "user", content: userMessage });
if (history.length > MAX_HISTORY) {
history.splice(0, history.length - MAX_HISTORY);
}
const response = await openai.chat.completions.create({
model: "deepseek-chat",
messages: [{ role: "system", content: SYSTEM_PROMPT }, ...history],
});
const reply = response.choices[0].message.content ?? "I couldn't generate a response.";
history.push({ role: "assistant", content: reply });
conversations.set(userJid, history);
return reply;
}
Exemplo Completo
import { createClient } from "@whatsmeow-node/whatsmeow-node";
import OpenAI from "openai";
import type { ChatCompletionMessageParam } from "openai/resources/chat/completions";
const client = createClient({ store: "session.db" });
const openai = new OpenAI({
baseURL: "https://api.deepseek.com",
apiKey: process.env.DEEPSEEK_API_KEY,
});
const SYSTEM_PROMPT =
"You are a helpful WhatsApp assistant. Keep responses concise — under 500 characters when possible, since this is a chat interface.";
const conversations = new Map<string, ChatCompletionMessageParam[]>();
const MAX_HISTORY = 20;
async function askDeepSeek(userJid: string, userMessage: string): Promise<string> {
const history = conversations.get(userJid) ?? [];
history.push({ role: "user", content: userMessage });
if (history.length > MAX_HISTORY) {
history.splice(0, history.length - MAX_HISTORY);
}
const response = await openai.chat.completions.create({
model: "deepseek-chat",
messages: [{ role: "system", content: SYSTEM_PROMPT }, ...history],
});
const reply = response.choices[0].message.content ?? "I couldn't generate a response.";
history.push({ role: "assistant", content: reply });
conversations.set(userJid, history);
return reply;
}
client.on("message", async ({ info, message }) => {
if (info.isFromMe) return;
const text =
(message.conversation as string) ??
(message.extendedTextMessage as { text?: string } | undefined)?.text;
if (!text) return;
console.log(`${info.pushName}: ${text}`);
await client.sendChatPresence(info.chat, "composing");
try {
const reply = await askDeepSeek(info.sender, text);
await client.sendMessage(info.chat, { conversation: reply });
console.log(`→ ${reply.slice(0, 80)}...`);
} catch (err) {
console.error("DeepSeek API error:", err);
await client.sendMessage(info.chat, {
conversation: "Sorry, I'm having trouble right now. Try again in a moment.",
});
}
});
client.on("logged_out", ({ reason }) => {
console.error(`Logged out: ${reason}`);
client.close();
process.exit(1);
});
async function main() {
const { jid } = await client.init();
if (!jid) {
console.error("Not paired! See: How to Pair WhatsApp");
process.exit(1);
}
await client.connect();
await client.sendPresence("available");
console.log("DeepSeek bot is online!");
process.on("SIGINT", async () => {
await client.sendPresence("unavailable");
await client.disconnect();
client.close();
process.exit(0);
});
}
main().catch(console.error);
Alternando Entre Provedores
Como DeepSeek, OpenAI e vários outros provedores usam o mesmo formato de API, você pode tornar o provedor configurável:
const openai = new OpenAI({
baseURL: process.env.AI_BASE_URL ?? "https://api.openai.com/v1",
apiKey: process.env.AI_API_KEY,
});
const model = process.env.AI_MODEL ?? "gpt-4o";
Isso funciona com qualquer provedor compatível com a OpenAI — DeepSeek, Groq, Together AI, Mistral e mais.
Erros Comuns
Loops de eco
Sempre verifique info.isFromMe primeiro. Sem isso, o bot responde às próprias mensagens para sempre.
Exposição da chave de API
Nunca coloque sua chave de API diretamente no código. Use variáveis de ambiente ou um arquivo .env (adicionado ao .gitignore).
