Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.metadataStores.contexts.purge

Purges contexts.

Endpoint

post


                https://{service-endpoint}/v1/{parent}/contexts:purge

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

parent string

Required. The metadata store to purge contexts from. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}

Request body

The request body contains data with the following structure:

Fields

filter string

Required. A required filter matching the contexts to be purged. E.g., update_time <= 2020-11-19T11:30:00-04:00.

force boolean

Optional. Flag to indicate to actually perform the purge. If force is set to false, the method will return a sample of Context names that would be deleted.

Response body

If successful, the response body contains an instance of Operation.