SuperAI Flow Platform

Sections

Theme switcher

flow-executions

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.

Was this section helpful?

What made this section unhelpful for you?

On this page
  • flow-executions
View as Markdown

Ask an AI

Open in ChatGPTOpen in ClaudeOpen in Perplexity

Code with AI

Open in Copilot