Build and run a workflow
Build a repeatable analysis graph and run it against project data.
1. Open the workflow builder
Section titled “1. Open the workflow builder”Open a project workspace and press + to add an empty tab. Choose Open workflow to select a saved workflow, or New workflow to start a draft. Choose resource opens the general resource picker. You can also find saved workflows through the Workflows filter in a Browser pane. Each workflow opens as a resource tab showing its name and workflow icon. Select Edit to change a saved workflow, then give it a descriptive name.
Workflow tabs have their own edit mode and selected run. Save or discard changes before closing a tab or leaving the workspace. You can keep multiple workflows open side by side.
2. Add and connect modules
Section titled “2. Add and connect modules”Add modules from the available module catalog. Each module exposes typed inputs and outputs. Connect compatible ports to define how data moves through the graph.
Choose inputs and parameters inside each module card. Connecting another card’s output replaces that input’s local control; disconnecting restores it. Lock values that should be fixed for the workflow. BisQue maintains the public workflow interface internally, without extra Input/Output cards on the canvas.
Select one or several resources, or add repeated typed values. A single selection runs once; multiple selections lift elementwise modules across that ordered set and produce a batch of outputs. Other scalar parameters broadcast to each item. Scalar-only ports do not offer multiple selection. Whole-batch modules consume the set together instead of running separately per item. Separate batches are not automatically paired or multiplied. An image’s T, Z, and channel counts describe that one image and do not make it a batch; a JSON array is likewise one JSON value unless you explicitly add separate values.
The editor uses the server’s versioned type contract to disable incompatible connection targets
immediately. It permits the one implicit conversion from integer to number, lifts
element-by-element modules across a batch, and broadcasts scalar inputs across those items. The
server compiler repeats the complete type, lineage, required-input, and cycle checks before every
save and reports errors against the affected canvas element and port.
For a model-backed module, choose the model before choosing images. The selected immutable model version supplies its task contract and T/Z/channel requirements, so the image picker can offer only compatible scalar images or image collections.
In this initial release, choose images directly in the model card. Preprocessing-module outputs cannot yet feed a model node, even when their dimensions match. Use the processed images as resources in a subsequent model workflow. Model choices must be a fixed node selection or a scalar workflow input. Image-producing modules’ declared T/Z/channel counts are checked against the produced image before its resource output is accepted.
3. Save a revision
Section titled “3. Save a revision”Save the workflow when the graph is valid. BisQue creates an immutable revision so future edits do not change the definition recorded by an existing run.
4. Start a run
Section titled “4. Start a run”Fill in the card controls generated from the compiled workflow inputs. Resources use resource pickers, semantic types use the semantic-type picker, and primitive values use corresponding typed controls with an Add button when multiple values are supported. Review the resolved module and model versions, then choose Run when execution readiness is available.
Execution availability is controlled by the deployment. If the workflow can be edited but not run, contact the administrator or wait for a compatible execution worker to become ready.
5. Inspect results
Section titled “5. Inspect results”The run inspector also presents any required human input without leaving the workflow tab. It shows the run’s current state and each step’s inputs and outputs. Outputs may be BisQue resources or inline typed values. Node details retain intermediate values, lineage, and original batch ordinals. If individual batch items fail with an expected module error, successful ordinals continue downstream and the run is marked partial; the per-item statuses remain visible. Open a resource input or output to inspect it in another workspace tab. Result tabs remain tied to the run you opened, including its frozen input collections. Promote a supported output into the project for continued work. Workflows use the workspace tabs directly; there is no separate workflow dock layout. Batch resource viewers have Previous/Next controls; scrolling over their navigation bar also browses the successful outputs in original ordinal order.