Service Integration Technical Architecture
Dify workflow achieves external service integration through a variety of technical routes: MCP.yml file shows the standard pattern of Agent policy docking third-party services such as Gaode Map; Tencent Cloud SubtitleInfo.yml demonstrates the implementation of encrypted authorization to access cloud services. These integrations are not simple API calls, but build a service abstraction layer with business semantics.
Typical Integration Scenario Analysis
Three prominent integration cases from the project are representative:
- SearchMaster.yml integrates with SearXNG and Jina for intelligent searching.
- File_read.yml Processing local files through the sandbox environment
- Claude3 Code Translation.yml implements cross-language code conversion.
Of particular note is the Jina Reader Jinja.yml workflow, which builds a complete pipeline for dynamic knowledge acquisition by accessing real-time web data through TavilySearch and parsing the content with Jina.
Extended Development Guide
For users who need to develop custom integrations, the project provides the dify-sandbox-py extension framework. Developers can refer to the implementation of jieba.yml, add dependent libraries in python-requirements.txt, and then exchange data with the workflow via standard input and output. This design not only ensures security (sandbox environment), but also provides flexible extension capabilities.
This answer comes from the articleDify Workflow DSL Files Collection DownloadThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil