# How to Connect DeepSeek R1 to WeChat, Discord & Telegram in 5 Minutes (FREE)

DeepSeek has taken the AI world by storm. Its R1 reasoning model rivals OpenAI's o1 but is open-source and significantly cheaper.

However, the official DeepSeek app currently only supports "AI Search" in WeChat, and direct integration into group chats or private workflows is limited.

**What if you could have a fully functional DeepSeek R1 bot in your WeChat groups, Discord servers, and Telegram chats right now?**

With **LangBot**, you can. And it takes less than 5 minutes.

## Why LangBot?

LangBot is an open-source, production-grade IM bot platform. Unlike simple scripts or single-platform bots, LangBot gives you:

*   **Unified Platform:** Connect once, deploy to WeChat, Discord, Telegram, Slack, Lark, and more.
*   **Model Agnostic:** Use DeepSeek R1, V3, Claude 3.5, GPT-4, or local Ollama models.
*   **No Coding:** robust WebUI for configuration.
*   **Enterprise Features:** Knowledge base (RAG), Plugin system, and multi-user management.

## Prerequisites

1.  **A Server or PC:** Docker installed (VPS, local computer, or Synology/NAS).
2.  **DeepSeek API Key:**
    *   **Official:** [platform.deepseek.com](https://platform.deepseek.com)
    *   **SiliconFlow (Recommended for speed):** [cloud.siliconflow.cn](https://cloud.siliconflow.cn) (Faster R1 inference).

## Step 1: Deploy LangBot

If you haven't deployed LangBot yet, run this one command:

```bash
git clone https://github.com/langbot-app/LangBot
cd LangBot/docker
docker compose up -d
```

Access your dashboard at `http://localhost:5300` (or your server IP).

## Step 2: Configure DeepSeek Model

1.  Go to **Models** -> **Provider List**.
2.  Find **DeepSeek** (or **SiliconFlow** / **OpenAI Compatible**).
3.  Enter your API Key.
4.  Click **Save**.

Now create a **Model Instance**:
*   **Name:** `DeepSeek-R1-Bot`
*   **Model:** `deepseek-reasoner` (for R1) or `deepseek-chat` (for V3).

## Step 3: Create a Chat Pipeline

LangBot uses "Pipelines" to manage bot logic.

1.  Go to **Pipelines** -> **New Pipeline**.
2.  Choose **Chat Pipeline**.
3.  Select your `DeepSeek-R1-Bot` model.
4.  (Optional) Add a System Prompt:
    > "You are a helpful assistant powered by DeepSeek R1. You think deeply before answering."

## Step 4: Connect to WeChat (or any platform)

### For WeChat (Personal / Wechaty)
*Note: Personal WeChat access relies on third-party libraries and carries some risk. For business use, we recommend Enterprise WeChat (WeCom).*

1.  Go to **Bots** -> **New Bot**.
2.  Select **WeChat**.
3.  Choose the **GeweChat** or **Wechaty** adapter (depending on your preference).
4.  Click **Save**.
5.  Scan the QR code that appears in the logs or UI.

### For Discord / Telegram
1.  Select **Discord** or **Telegram**.
2.  Paste your **Bot Token** (from Discord Developer Portal or BotFather).
3.  Click **Save**.

## Step 5: Test It Out!

Open your chat app and send a message. You should see DeepSeek R1 "thinking" (if supported) and replying with high-quality reasoning.

## Advanced: Using Search & Tools

DeepSeek is great, but DeepSeek with **Internet Access** is better.

In LangBot:
1.  Go to **Plugins**.
2.  Install **Tavily Search** or **Google Search**.
3.  Add the plugin to your DeepSeek Pipeline.

Now your bot can search the web for real-time info *before* reasoning with DeepSeek R1!

---

**Ready to build?**
[Star us on GitHub](https://github.com/langbot-app/LangBot) or [Read the Docs](https://docs.langbot.app).