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106 lines
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106 lines
4.0 KiB
Plaintext
---
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title: "DeepSeek R1 を WeChat・Discord・Telegram に5分で接続する方法"
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description: "A step-by-step guide to connecting DeepSeek R1/V3 API to WeChat (Personal/Enterprise), Discord, Telegram, and more using LangBot. No coding required."
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---
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この記事は LangBot Blog から同期されています。 [Blog の原文を読む](https://langbot.app/en/blog/connect-deepseek-to-wechat).
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公開日：2026-02-21 · 著者：LangBot Team
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> この記事の日本語版はまだ公開されていないため、英語版を掲載しています。
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DeepSeek has taken the AI world by storm. Its R1 reasoning model rivals OpenAI's o1 but is open-source and significantly cheaper.
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However, the official DeepSeek app currently only supports "AI Search" in WeChat, and direct integration into group chats or private workflows is limited.
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**What if you could have a fully functional DeepSeek R1 bot in your WeChat groups, Discord servers, and Telegram chats right now?**
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With **LangBot**, you can. And it takes less than 5 minutes.
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## Why LangBot?
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LangBot is an open-source, production-grade IM bot platform. Unlike simple scripts or single-platform bots, LangBot gives you:
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* **Unified Platform:** Connect once, deploy to WeChat, Discord, Telegram, Slack, Lark, and more.
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* **Model Agnostic:** Use DeepSeek R1, V3, Claude 3.5, GPT-4, or local Ollama models.
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* **No Coding:** robust WebUI for configuration.
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* **Enterprise Features:** Knowledge base (RAG), Plugin system, and multi-user management.
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## Prerequisites
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1. **A Server or PC:** Docker installed (VPS, local computer, or Synology/NAS).
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2. **DeepSeek API Key:**
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* **Official:** [platform.deepseek.com](https://platform.deepseek.com)
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* **SiliconFlow (Recommended for speed):** [cloud.siliconflow.cn](https://cloud.siliconflow.cn) (Faster R1 inference).
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## Step 1: Deploy LangBot
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If you haven't deployed LangBot yet, run this one command:
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```bash
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git clone https://github.com/langbot-app/LangBot
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cd LangBot/docker
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docker compose up -d
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```
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Access your dashboard at `http://localhost:5300` (or your server IP).
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## Step 2: Configure DeepSeek Model
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1. Go to **Models** -> **Provider List**.
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2. Find **DeepSeek** (or **SiliconFlow** / **OpenAI Compatible**).
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3. Enter your API Key.
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4. Click **Save**.
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Now create a **Model Instance**:
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* **Name:** `DeepSeek-R1-Bot`
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* **Model:** `deepseek-reasoner` (for R1) or `deepseek-chat` (for V3).
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## Step 3: Create a Chat Pipeline
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LangBot uses "Pipelines" to manage bot logic.
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1. Go to **Pipelines** -> **New Pipeline**.
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2. Choose **Chat Pipeline**.
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3. Select your `DeepSeek-R1-Bot` model.
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4. (Optional) Add a System Prompt:
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> "You are a helpful assistant powered by DeepSeek R1. You think deeply before answering."
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## Step 4: Connect to WeChat (or any platform)
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### For WeChat (Personal / Wechaty)
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*Note: Personal WeChat access relies on third-party libraries and carries some risk. For business use, we recommend Enterprise WeChat (WeCom).*
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1. Go to **Bots** -> **New Bot**.
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2. Select **WeChat**.
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3. Choose the **GeweChat** or **Wechaty** adapter (depending on your preference).
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4. Click **Save**.
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5. Scan the QR code that appears in the logs or UI.
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### For Discord / Telegram
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1. Select **Discord** or **Telegram**.
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2. Paste your **Bot Token** (from Discord Developer Portal or BotFather).
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3. Click **Save**.
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## Step 5: Test It Out!
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Open your chat app and send a message. You should see DeepSeek R1 "thinking" (if supported) and replying with high-quality reasoning.
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## Advanced: Using Search & Tools
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DeepSeek is great, but DeepSeek with **Internet Access** is better.
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In LangBot:
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1. Go to **Plugins**.
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2. Install **Tavily Search** or **Google Search**.
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3. Add the plugin to your DeepSeek Pipeline.
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Now your bot can search the web for real-time info *before* reasoning with DeepSeek R1!
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---
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**Ready to build?**
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[Star us on GitHub](https://github.com/langbot-app/LangBot) or [Read the Docs](https://langbot.app/docs).
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