Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Method: projects.updateCacheConfig

Updates a cache config.

HTTP request

PATCH https://{service-endpoint}/v1beta1/{cacheConfig.name}

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

Path parameters

Parameters

Parameters
`cacheConfig.name`	`string` Identifier. name of the cache config. Format: - `projects/{project}/cacheConfig`.

cacheConfig.name

string

Identifier. name of the cache config. Format: - projects/{project}/cacheConfig.

Request body

The request body contains an instance of CacheConfig.

Response body

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

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

aiplatform.cacheConfigs.update

For more information, see the IAM documentation.