Running, monitoring & approvals

Documentation Index

Fetch the complete documentation index at: https://docs.lyzr.ai/llms.txt

Use this file to discover all available pages before exploring further.

Once your SuperFlow is built, the editor gives you everything you need to test it, watch it execute, debug failures, manage in-flight runs, handle human approvals, and share the SuperFlow with teammates. This page walks through each.

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Testing a run

Click the Run button in the top-right toolbar of the editor (tooltip Run SuperFlow) to open the execution panel. In the panel:

• Type your input in the Simple mode text area, or toggle to JSON mode (link at the top right of the input area) to send a structured payload as raw JSON.
• If your Trigger expects a file (for example, with a document node downstream), the input area shows a drag-and-drop file picker and the run button reads Upload & Run.
• Click Run to submit. The button changes to Running… while the SuperFlow is executing.

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Live monitoring

While a SuperFlow runs, status is shown in two places. On the canvas — every node displays its live state:

• Amber pulse — currently executing.
• Green check — completed successfully.
• Red × — errored.
• Blue pause — awaiting a human approval.

The edges between nodes animate while data flows along them, so you can see the run’s progress at a glance. In the execution panel — each node has an expandable card that fills in as the node completes. Click a card to see the node’s JSON output. Output-style nodes (those that produce final results) are expanded automatically.

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Lifecycle controls

For long-running SuperFlows, you can intervene from the execution panel. All three controls are backed by durable state — they survive service restarts and behave consistently even under concurrent operator action.

• Pause — request a cooperative pause. The run pauses at the next boundary between nodes (it won’t interrupt a node mid-execution). Paused runs stay paused even across restarts.
• Resume — continue a paused run from where it stopped. Completed nodes stay completed; the next pending node starts fresh.
• Terminate — cancel the run outright. Any in-flight work is stopped, and the run is marked as cancelled. Cancellation is final.

A run can be paused and resumed unlimited times without losing data. While paused, the run consumes essentially no resources.

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Retries on failure

Every retryable node can be configured to automatically retry on transient failures. In a node’s configuration drawer, expand the Retry section and toggle Retry on failure on. Then set:

• Max attempts — how many times the engine will retry before declaring the node failed.
• Wait between attempts — backoff delay in milliseconds.

Retries are themselves durable. If the service restarts mid-backoff, the engine remembers exactly how many attempts have been made and resumes the retry sequence from the correct count — you never accidentally end up with more attempts than configured. When the max-attempt count is exceeded, the node fails permanently and the entire run errors out. The failed run shows up in History with the failing node and its error preserved, so you can diagnose and re-run. For more on the durability properties that back retries, pauses, and the rest of the engine, see Reliability & durable execution.

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Execution history

Click the History button in the toolbar to open the history drawer on the right side of the canvas. The drawer has two tabs:

• Executions — past runs of this SuperFlow, with their status, trigger source, and timestamps.
• Approvals — pending approval requests waiting for a human decision (see below).

Click any past run to replay it on the canvas:

• Every node shows the status it had during that run.
• Clicking a node opens its output drawer with the JSON it emitted in that specific run.
• Re-run from a specific node if you want to retry just the failed tail of a previous run.

History is the fastest way to debug a failed run — you can see exactly which node failed, what it received, and what it tried to do.

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Human-in-the-loop approvals

When a SuperFlow reaches a Wait for Approval node, the run pauses durably and waits for a person to act. While paused:

• The run’s status changes to “Awaiting approval”.
• The node shows the blue pause indicator on the canvas.
• A new entry appears in the Approvals tab of the history drawer, including the configured approval message (with any expressions resolved against the live data).
• Anyone with access to the SuperFlow can review the request.

The approver has two choices:

• Approve — the run continues down the node’s Output 0 path with the input items flowing through unchanged.
• Reject — the run continues down the node’s Output 1 path. You typically connect this output to a “send rejection email” or “mark as denied” chain.

The wait costs nothing. Paused runs sit in durable storage, not in a hot-running process — a SuperFlow can wait minutes, hours, days, or weeks for a human without consuming a thread or holding memory. Service restarts during a paused-awaiting-approval state are invisible to the workflow: the moment a human responds, the run resumes from exactly the same point. Approvals don’t time out automatically. They sit pending until acted on, unless your SuperFlow uses a parallel Wait node to enforce a deadline. This makes Wait for Approval safe for slow-moving processes — onboarding flows that wait on customer action, escalation paths that wait on managers, anything you’d normally need a separate ticketing system to track.

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Sharing a SuperFlow

By default, only the user who created a SuperFlow can see it. To collaborate, share it with teammates. From the SuperFlow list page (or from the editor toolbar), click the Share button on a SuperFlow you own. A modal opens listing your organization members:

• Tick the teammates you want to share with.
• Confirm.

Shared collaborators can:

• View the SuperFlow and its execution history.
• Edit nodes and configuration.
• Run the SuperFlow manually or trigger its schedules.

Only the owner can:

• Delete the SuperFlow.
• Change who it’s shared with.

Re-opening the Share modal at any time lets you add or remove people. Removing everyone returns the SuperFlow to a private state.

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Where to go from here

• Reliability & durable execution — the full guarantees behind retries, pauses, and replay.
• Node reference — explore the rest of the node catalog.
• Triggers & schedules — move from manual runs to webhooks or scheduled execution.
• Expressions & data flow — keep going on data wiring.