> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langbot.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Dify with LangBot

[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.

<img src="https://mintcdn.com/langbot/OB26CZsqXqbSrW_A/images/zh/deploy/pipelines/dify/dify_sv_api_01.png?fit=max&auto=format&n=OB26CZsqXqbSrW_A&q=85&s=8f9d2538d31025ee0007ca724a5be14e" alt="Dify Application API Key" width="928" height="168" data-path="images/zh/deploy/pipelines/dify/dify_sv_api_01.png" />

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

<Info title="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](/zh/workshop/network-details.html#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.
</Info>

## Configuring LangBot

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

<img src="https://mintcdn.com/langbot/OB26CZsqXqbSrW_A/images/zh/deploy/pipelines/dify/dify_sv_api_02.png?fit=max&auto=format&n=OB26CZsqXqbSrW_A&q=85&s=726390551083263441c59029cfdb0bb3" alt="Setting Development Item" width="1024" height="1590" data-path="images/zh/deploy/pipelines/dify/dify_sv_api_02.png" />

<Info title="### Workflow Output Key">
  If you are using a Dify workflow application, please use `summary` as the key to pass the output content.

  <img src="https://mintcdn.com/langbot/OB26CZsqXqbSrW_A/images/zh/deploy/pipelines/dify/dify_workflow_output_key.png?fit=max&auto=format&n=OB26CZsqXqbSrW_A&q=85&s=2ab83098b302ce8a87e883a0f2938852" alt="Dify Workflow Application Output Key" width="1530" height="710" data-path="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.
</Info>