GET
/v1/schemas/google-vertex/video/v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:predictLongRunning
Accept:
| field | recorded source |
|---|---|
| schema | Source linked above. upstream-spec Source tracec53822c7158de0461a16c06223d306d1a32575088879045c6cc5e9ffe21cd46c{
"fetchedAt": 1791350027,
"extractorVersion": "1",
"verifiedAt": null
} |
Request body
3 properties · 0 required · 0 $defs| property | type | description | constraints |
|---|---|---|---|
| labels | object | Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only. Label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, … | |
| parameters | any | Optional. The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri. | |
| instances | any[] | Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer … |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"google-vertex","endpointId":"v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:predictLongRunning","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}