workflow-writer

To design and edit automated multi-agent workflows, you define requirements and iteratively modify agent pipelines, including provider configuration, prompt authoring, and node assignment, with real-time visual feedback. Definitions are saved as YAML files for deployment.

An agent pipeline orchestration workflow coordinates multiple AI agents to handle complex automated processes end-to-end, from initial triage and response generation to escalation, replacing manual configuration and complex scripting.

Yes, you can modify an existing automated workflow by loading its YAML definition and applying real-time iterative refinements through visual flowcharts, allowing live editing of agent prompts, nodes, and backend configurations.

Configuring backends and prompts for automated workflows involves assigning specific nodes to agents, authoring custom prompts, and setting provider configurations directly within the workflow definition before deployment.

Automated workflow definitions are saved as YAML files in the workspace/workflows directory, using a slug-based naming convention to organize and store the pipeline configuration for deployment.

Yes, workflow-writer supports visualizing agent pipelines by providing immediate visual feedback through flowcharts during the iterative creation and editing process, helping you refine the multi-agent automated workflow.