Dify DSL workflows for LLM application development
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This repository provides a collection of DSL (Domain Specific Language) workflow scripts designed for the Dify LLM application development platform. It offers pre-built, reusable workflows for various tasks, enabling users to quickly implement advanced AI functionalities without starting from scratch. The target audience includes developers and power users of Dify looking to leverage diverse AI capabilities.
How It Works
The project consists of .yml
files, each representing a Dify workflow. These workflows are built by chaining together Dify's core components: LLM models, RAG pipelines, agents, and various tools. The scripts leverage external APIs (e.g., for image generation, text-to-speech, financial data) and internal Dify tools (e.g., document extractors, database query tools) to achieve specific outcomes. This approach allows for rapid prototyping and deployment of complex AI applications by providing ready-to-use, modular workflow definitions.
Quick Start & Requirements
.yml
files into Dify via "Create App" -> "Import DSL".docker-compose up --build
).Highlighted Details
Maintenance & Community
The repository is actively maintained by wwwzhouhui, with recent updates in April 2025. It references several supporting open-source projects, including Dify, jimeng-free-api, and akshare. A GitHub Issues section is available for feedback and problem reporting.
Licensing & Compatibility
The repository itself does not explicitly state a license. However, it is built upon Dify, which is an open-source LLM application development platform. Compatibility for commercial use would depend on the licensing of Dify and any third-party APIs used within the workflows.
Limitations & Caveats
.doc
files; conversion to .docx
is recommended..env
.3 days ago
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