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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. 公開日：2026-02-21 · 著者：LangBot Team
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。
DeepSeek x WeChat Integration 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.

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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.

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Prerequisites

  1. A Server or PC: Docker installed (VPS, local computer, or Synology/NAS).
  2. DeepSeek API Key:

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Step 1: Deploy LangBot

If you haven’t deployed LangBot yet, run this one command:
Access your dashboard at http://localhost:5300 (or your server IP).

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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).

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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.”

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Step 4: Connect to WeChat (or any platform)

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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.

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For Discord / Telegram

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

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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.

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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 or Read the Docs.