LangBot Docs
Qwen

Build a Discord AI Bot with Qwen

Step-by-step guide to running a Qwen-powered AI bot on Discord with LangBot: model setup, bot credentials, networking, testing and troubleshooting.

This recipe puts a Qwen model behind a Discord bot. LangBot receives messages from Discord, runs them through a pipeline, and sends the answer back, so you do not write any platform code.

Use Alibaba Cloud's Qwen models through Model Studio (DashScope) with LangBot's built-in Agent.

What you need

  • A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
  • A Qwen account or server you can call from LangBot.
  • A Discord application with a bot: its Client ID and bot token from the Developer Portal, with Server Members Intent and Message Content Intent enabled.

Networking

Discord bots connect out to the Discord gateway, so no public webhook URL is required.

1. Add the Qwen model

  1. Create an API key in the Aliyun Bailian (DashScope) console.
  2. In LangBot, open Models, add an LLM model with the provider set to Aliyun Bailian (DashScope) and request URL https://dashscope.aliyuncs.com/compatible-mode/v1, then paste the API key and the model ID.
  3. Enable Tool Use if the model supports function calling; MCP tools, Skills and the sandbox need it.
  4. Use a Qwen model ID listed in Model Studio.

2. Create a pipeline

Open Pipelines in the LangBot WebUI, create a pipeline (or edit the default one) and set AI as follows.

FieldValue
RunnerLocal Agent (built-in Agent)
ModelThe model you just added. You can add fallback models.
PromptInstructions: who the bot is, tone, what it must not do.
Knowledge BasesOptional. Attach a knowledge base so answers come from your documents.

3. Create the Discord bot

  1. Create a bot with the Discord adapter and enter the Client ID and token.
  2. Invite the bot from OAuth2 → URL Generator with the bot scope and Guild Install, granting permission to view channels and send messages.

4. Bind and test

Open the bot, select the pipeline you created, save and make sure the bot is enabled.

Send a message that matches the trigger rules in a server channel, then try a DM from the bot's profile.

Troubleshooting

  • International accounts use a different DashScope endpoint; copy the OpenAI-compatible URL shown in your console.
  • Gateway login fails: check the current token and that both privileged intents are enabled and saved.
  • Discord limits message length, so long streaming replies arrive as several messages.
  • Check Monitoring in the WebUI: every message, pipeline run and error is recorded there.

FAQ

Do I need a server with a public IP for Discord?

No. Discord bots connect out to the Discord gateway, so no public webhook URL is required.

Does the Discord bot support streaming replies?

Yes. Enable streaming on the bot; the AI back end must also stream. See the platform feature matrix for details.

Can the same Qwen setup serve other platforms too?

Yes. A pipeline can be bound to many bots, so one configuration can answer on several platforms at once.

Build a Telegram AI Bot with Qwen

Step-by-step guide to running a Qwen-powered AI bot on Telegram with LangBot: model setup, bot credentials, networking, testing and troubleshooting.

Build a Slack AI Bot with Qwen

Step-by-step guide to running a Qwen-powered AI bot on Slack with LangBot: model setup, bot credentials, networking, testing and troubleshooting.

On this page

What you needNetworking1. Add the Qwen model2. Create a pipeline3. Create the Discord bot4. Bind and testTroubleshootingFAQDo I need a server with a public IP for Discord?Does the Discord bot support streaming replies?Can the same Qwen setup serve other platforms too?Related guides