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Qwen

Build a LINE AI Bot with Qwen

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

This recipe puts a Qwen model behind a LINE bot. LangBot receives messages from LINE, 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

Networking

LINE calls a webhook, so LangBot needs a public HTTPS URL. LangBot Cloud includes a domain and HTTPS.

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 LINE bot

  1. Create a bot with the LINE adapter and enter the Channel Secret and Channel Access Token.
  2. Copy the webhook callback URL from LangBot into the channel's Webhook URL, verify it, and turn on Use webhook.

4. Bind and test

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

Add the official account as a friend with its QR code and send a message.

Troubleshooting

  • International accounts use a different DashScope endpoint; copy the OpenAI-compatible URL shown in your console.
  • Webhook verification fails: check the URL and that HTTPS works from the public internet.
  • No replies: turn off LINE's auto-reply messages in the Official Account Manager so they do not answer instead of the bot.
  • 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 LINE?

Yes, or use LangBot Cloud. LINE calls a webhook, so LangBot needs a public HTTPS URL. LangBot Cloud includes a domain and HTTPS.

Does the LINE bot support streaming replies?

Check the platform feature matrix for what this platform supports. Replies are delivered once the AI back end has finished.

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.

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On this page

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