Workflows

DAGexecutionwithretriesanderrorhandling

Topological scheduling, parallel branches, step retries, and live SSE streams.

The execution engine processes workflows as a DAG using Kahn’s topological sort. It runs independent branches in parallel, retries individual steps with exponential backoff, and routes failures through error-handler edges.

Cycle detection before execution starts
Step-level retry with configurable maxAttempts
Conditional edges and on_failure handlers
Live SSE status stream and detailed execution logs

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Related in Workflows

Visual builder

React Flow canvas with trigger, agent, git, CI, ticket, and approval nodes aligned to the 22px grid.

Ticket nodes

Create, update, comment, read, and list tickets as first-class workflow steps across Jira, Linear, and ClickUp.

Reusable blocks

Save a group of steps as a workflow block and reuse it across workflows.

Dry-run testing

Run the whole graph against sample trigger data with side effects stubbed out.

AI generation

Generate a complete workflow — nodes, edges, and config — from a plain-English prompt.

Template engine

Reference trigger fields and previous step outputs with {{trigger.*}} and {{outputs.*}}.