Super.ai Flow Executions API
Flow execution operations for running and monitoring workflows. Flow executions represent runtime instances of flows. When you execute a flow, a new flow execution is created with its own unique ID, status, and execution context. Each execution is independent and maintains its own state, input data, and results. **Key concepts:** - **Execution Status**: Tracks the lifecycle (running, completed, failed, cancelled) - **Run Number**: Sequential identifier for executions of the same flow - **Execution Context**: Contains input parameters, user information, and metadata - **Task Results**: Stores outputs from each task within the execution **Use these endpoints to:** - Start new flow executions with custom input parameters - Monitor execution progress and status in real-time - Retrieve execution history and detailed results - Filter and search executions by status, date, or flow - Cancel running executions when needed - Access task-level execution details and outputs Flow executions transform flow definitions into actual work and deliverable results.