List Models
firebase_ml.list_models
ActionAI & modelsconnection required
Calls Firebase ML GET /v1beta2/projects/{projectsId}/models.
Lists the models…
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Firebase ML
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id
- Resolved by
- config.connection_id, else node.connection_id
Configuration
4 fields, none required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
project_id GCP project id (overrides connection). | string | No | — | — | — |
filter A filter for the list e.g. 'tags: abc' to list models which are tagged with "abc" | string | No | — | — | — |
page_size The maximum number of items to return | number | No | 50 | ≥ 1 | — |
page_token The next_page_token value returned from a previous List request, if any. | string | No | — | — | — |
Example configuration
Every value below is the contract’s own example or default — nothing invented.
{
"page_size": 50
}Output
One shape.
result
| Field | Type | Example |
|---|---|---|
ok | boolean | — |
nextPageToken | string | — |
models | array | — |
{
"models": [],
"nextPageToken": "",
"ok": false
}Related Firebase ML nodes
See List Models run in a workflow.
In a technical demo we add the Firebase ML connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.