Build a LINE AI Bot with Ollama

This recipe puts a Ollama 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.

Run open models locally with Ollama and serve them through LangBot's built-in Agent, so conversations never leave your machines.

What you need

• A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
• A Ollama account or server you can call from LangBot.
• A Messaging API channel in the LINE Developers Console: Channel Secret and Channel Access Token (click Issue).

Networking

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

1. Add the Ollama model

1. Install Ollama and pull a model (for example ollama pull followed by the model name).
2. In LangBot, open Models and add an LLM model with the provider set to Ollama and the request URL pointing at your Ollama server (by default port 11434).
3. If LangBot runs in Docker, localhost is the container itself: use the host's address (for example host.docker.internal) instead.

2. Create a pipeline

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

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

• Small local models may not support tool calling well; leave Tool Use off for models that do not support it.
• 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 Ollama setup serve other platforms too?

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

Related guides

• Full LINE setup guide
• Model configuration
• Other AI back ends on LINE: Dify · n8n · Coze · Langflow · DeepSeek
• Ollama on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)