Workflow
A graph of nodes, and a Node itself, so graphs nest: a workflow drops into another workflow wherever an ordinary node goes.
Running it schedules nodes as their predecessors complete, so independent branches run concurrently and a chain runs in order. The graph is assembled and validated when the workflow is constructed, so a malformed graph throws GraphValidationException here rather than at run time.
Types
Properties
The node's retry policy and execution timeout.
What the node does, for humans and for a model that may call it.
Checks the input as JSON; the node receives the checked value unless it takes a Content. An edge fails to build when the predecessor's output schema admits values this one rejects; what that schema leaves open (no type, undeclared keys, undescribed ARRAY items) is checked at run time.
The most nodes to run at once. Null does not limit.
Validates the output value the node emits with the same rules, and the checked value is the output. A value set with Context.setOutput and a message-as-output event's content are not checked.
Whether the node runs only once every predecessor has completed, receiving all their outputs keyed by node name. A fan-in node overrides this to true.
On resume, whether to run the node again from scratch rather than completing it with the resuming answer as its output.
Declares the state keys the node uses. Child nodes inherit it unless they declare their own.
Whether the node stays re-triggerable until it produces an output or a route, instead of completing when runNode returns. A node that never produces either then waits forever, which is a graph-authoring error.
Functions
Runs the node and normalizes each raw emission of runNode into an Event: null and Unit are skipped, a RequestInput becomes an adk_request_input interrupt event, an Event keeps its content and has its output validated, and any other value becomes the output.