tharunramagiri/tarunai-connect/cli-anything-dify-workflow

Dify Workflow CLI Skill

Installation

Install the upstream Dify workflow CLI first:

python -m pip install "dify-ai-workflow-tools @ git+https://github.com/Akabane71/dify-workflow-cli.git@main"

Then install the tarunAI Connect harness:

pip install git+https://github.com/tharunramagiri/tarunai-connect.git#subdirectory=dify-workflow/agent-harness

Usage

The harness forwards to the upstream dify-workflow CLI.

tarunai-connect-dify-workflow guide
tarunai-connect-dify-workflow list-node-types
tarunai-connect-dify-workflow create -o workflow.yaml --mode workflow --template llm
tarunai-connect-dify-workflow inspect workflow.yaml -j
tarunai-connect-dify-workflow validate workflow.yaml -j
tarunai-connect-dify-workflow edit add-node -f workflow.yaml --type code --title "Process"
tarunai-connect-dify-workflow config set-model -f app.yaml --provider openai --name gpt-4o

Command Groups

• guide
• list-node-types
• create
• inspect
• validate
• checklist
• edit add-node|remove-node|update-node|add-edge|remove-edge|set-title
• config set-model|set-prompt|add-variable|set-opening|add-question|add-tool|remove-tool
• export
• import
• diff
• layout

Agent Guidance

• Prefer -j / --json-output on upstream commands when available.
• The harness itself is a wrapper. Real workflow logic is provided by the upstream project.
• If dify-workflow is not on PATH but the dify_workflow Python package is installed, the wrapper falls back to python -m dify_workflow.cli.
• All operations are local file edits on Dify YAML/JSON DSL files.