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Xiaoyu SuandJunyan Chin
310c566148
* 重构文档结构：移除 docs 目录，调整文件组织结构 * Reorder "插件 SDK API" section in docs.json * Refactor and clarify various documentation sections * Refine warnings and info boxes across multiple docs * Refactor and simplify Japanese documentation content * Update package.json to include mintlify as a dependency and add pnpm-lock.yaml for dependency management * Update blog link and add description in docs.json --------- Co-authored-by: Junyan Chin <[email protected]>
43 lines
2.7 KiB
Plaintext
43 lines
2.7 KiB
Plaintext
---
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title: "Using Dify with LangBot"
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---
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[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.
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Dify can create chat assistants (including Chatflow), Agents, text generation applications, workflows, and other types of applications.
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LangBot currently supports three types of Dify applications: `Chat Assistant` (including Chatflow), `Agent`, and `Workflow`.
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## Creating an Application in Dify
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Please follow the [Dify documentation](https://docs.dify.ai) to deploy Dify and create your application.
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After publishing your application, go to the `Access API` page of your application to generate an API key.
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Save the API server and API key for configuring LangBot's pipeline `AI Capability`.
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<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.">
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- 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.
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- For other cases, please consult your company's operations team.
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</Info>
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## Configuring LangBot
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Open the LangBot WebUI page, add a new pipeline or switch to the AI capability configuration page in an existing pipeline.
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<Info title="### Workflow Output Key">
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If you are using a Dify workflow application, please use `summary` as the key to pass the output content.
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## Output Processing
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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.
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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.
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</Info>
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