Get Request Status
Gets request status in Fal AI.
This node is also exposed as an AI Agent tool.
This node has 1 input port and 1 output port.
Common Properties
Every node shares these.
- Name — the node's display name on the canvas.
- Color — the node's colour on the canvas.
- Delay Before (sec) — wait this long before the node runs.
- Delay After (sec) — wait this long after the node runs.
- Continue On Error — carry on instead of failing the flow. Defaults to false.
info
When Continue On Error is true the error is not raised at all, so a Catch node will not see it either.
Inputs
| Property | Field | Description |
|---|---|---|
| Client ID | inClientID | Client ID from Connect node (optional if credentials provided) |
| Model ID | inModelID | Fal.ai model ID used in the original request |
| Request ID | inRequestID | Request ID from Submit Request node |
Outputs
| Property | Field | Description |
|---|---|---|
| Logs | outLogs | Array of log entries from the running request |
| Queue Position | outQueuePosition | Position in queue (0 if not queued) |
| Status | outStatus | Request status: IN_QUEUE，IN_PROGRESS，or COMPLETED |
Options
| Property | Field | Description |
|---|---|---|
| Credentials | optCredentials | Fal.ai API key (optional if using Connect node) |
Requirements
- A Client ID from this package's Connect node, unless you set credentials directly on this node.
- Fal AI API Key — API key for Fal.ai authentication
value— API Key (password, required). Your Fal.ai API key
Store these in a Vault and reference the vault item from the node, rather than typing the secret into the property.
Related nodes
Submit Request · Get Request Result · Cancel Request
Elsewhere in the package: Connect · Disconnect · Run Model · Toolkit
See also
- Fal AI — every node in this package
- Message object — how properties read values from
msg - Handling failure — Continue On Error, Catch and retries