# Using Dify with LangBot

Source: https://langbot.app/docs/en/usage/pipelines/dify

Connect Dify to LangBot. Deploy your Dify apps and agents as AI bots on Discord, Telegram, WeChat, Slack and more.

[Dify](https://dify.ai) is an open-source large language model (LLM) application development platform. It combines the concepts of Backend as Service and LLMOps, enabling developers to quickly build production-grade generative AI applications.\
Dify can create chat assistants (including Chatflow), Agents, text generation applications, workflows, and other types of applications.

LangBot currently supports three types of Dify applications: `Chat Assistant` (including Chatflow), `Agent`, and `Workflow`.

## Creating an Application in Dify

Please follow the [Dify documentation](https://docs.dify.ai) to deploy Dify and create your application.

After publishing your application, go to the `Access API` page of your application to generate an API key.

![Dify Application API Key](https://langbot.app/docs/images/zh/deploy/pipelines/dify/dify_sv_api_01.png)

Save the API server and API key for configuring LangBot's pipeline `AI Capability`.

> The above is an example for Dify cloud service version. If you are using the self-hosted community version, please use your own Dify service address as the \`base-url\` in LangBot, and add \`/v1\` as the path.:
>
> - If LangBot and Dify are deployed on the same host and both are deployed using Docker, you can refer to the article: [Network Configuration Details](https://langbot.app/docs/zh/workshop/network-details.md#langbot-%E5%92%8C%E6%B6%88%E6%81%AF%E5%B9%B3%E5%8F%B0%E5%9D%87%E8%BF%90%E8%A1%8C%E5%9C%A8-docker-%E5%AE%B9%E5%99%A8%E4%B8%AD). In this case, add `langbot-network` to the `networks` of all containers in the docker-compose.yaml file that starts Dify, add the container name `dify-nginx` to the `nginx` container, and finally set `base-url` to `http://dify-nginx/v1` in the LangBot configuration.
> - For other cases, please consult your company's operations team.

## Configuring LangBot

Open the LangBot WebUI page, add a new pipeline or switch to the AI capability configuration page in an existing pipeline.

![Setting Development Item](https://langbot.app/docs/images/zh/deploy/pipelines/dify/dify_sv_api_02.png)

> \### Workflow Output Key:
>
> If you are using a Dify workflow application, please use `summary` as the key to pass the output content.
>
> ![Dify Workflow Application Output Key](https://langbot.app/docs/images/zh/deploy/pipelines/dify/dify_workflow_output_key.png)
>
> ## Output Processing
>
> When using a workflow application or Agent application, if you enable `track-function-calls` in LangBot's pipeline `Output Processing`, a message of `calling function xxx` will be output to the user when Dify executes each tool call.\
> However, if you are using `ChatFlow` under the `chat` application (Chat Assistant -> Workflow Orchestration), it will only output the text returned by the Answer (direct reply) node regardless of the settings.