Get information about a context cache¶
You can learn about the time a context cache was created, the time it was most recently updated, and the time it expires. To get information about every context cache associated with a Google Cloud project, including their cache IDs, use the command to list context caches. If you know the cache ID of a context cache, you can get information about just that context cache.
Get a list of context caches¶
To get a list of the context caches associated with a Google Cloud project, you need the region where you created and the ID of your Google Cloud project. The following shows you how to get a list of context caches for a Google Cloud project.
Gen AI SDK for Python¶
Install¶
To learn more, see the SDK reference documentation.
Set environment variables to use the Gen AI SDK with Vertex AI:
# Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values
# with appropriate values for your project.
export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT
export GOOGLE_CLOUD_LOCATION=us-central1
export GOOGLE_GENAI_USE_VERTEXAI=True
from google import genai
from google.genai.types import HttpOptions
client = genai.Client(http_options=HttpOptions(api_version="v1beta1"))
content_cache_list = client.caches.list()
# Access individual properties of a ContentCache object(s)
for content_cache in content_cache_list:
print(f"Cache `{content_cache.name}` for model `{content_cache.model}`")
print(f"Last updated at: {content_cache.update_time}")
print(f"Expires at: {content_cache.expire_time}")
# Example response:
# * Cache `projects/111111111111/locations/us-central1/cachedContents/1111111111111111111` for
# model `projects/111111111111/locations/us-central1/publishers/google/models/gemini-XXX-pro-XXX`
# * Last updated at: 2025-02-13 14:46:42.620490+00:00
# * CachedContentUsageMetadata(audio_duration_seconds=None, image_count=167, text_count=153, total_token_count=43130, video_duration_seconds=None)
# ...
REST¶
The following shows how to use REST to list the context caches associated with a Google Cloud project by sending a GET request to the publisher model endpoint.
Before using any of the request data, make the following replacements:
- PROJECT_ID: Your project ID.
- LOCATION: The region where the requests to create the context caches were processed.
HTTP method and URL:
GET https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents
To send your request, choose one of these options:
curl¶
Note:
The following command assumes that you have logged in to
the gcloud
CLI with your user account by running
gcloud init
or
gcloud auth login
, or by using Cloud Shell,
which automatically logs you into the gcloud
CLI
.
You can check the currently active account by running
gcloud auth list
.
Execute the following command:
curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents"
PowerShell¶
Note:
The following command assumes that you have logged in to
the gcloud
CLI with your user account by running
gcloud init
or
gcloud auth login
.
You can check the currently active account by running
gcloud auth list
.
Execute the following command:
$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents" | Select-Object -Expand Content
You should receive a JSON response similar to the following:
Response¶
{
"cachedContents": [
{
"name": "projects/PROJECT_NUMBER/locations/us-central1/cachedContents/CACHE_ID_1",
"model": "projects/PROJECT_ID/locations/us-central1/publishers/google/models/gemini-2.0-flash-001",
"createTime": "2024-05-31T19:04:35.380412Z",
"updateTime": "2024-05-31T19:04:35.380412Z",
"expireTime": "2024-05-31T20:04:35.349680Z"
},
{
"name": "projects/PROJECT_NUMBER/locations/us-central1/cachedContents/CACHE_ID_2",
"model": "projects/PROJECT_ID/locations/us-central1/publishers/google/models/gemini-2.0-flash-001",
"createTime": "2024-05-30T21:14:39.880235Z",
"updateTime": "2024-05-31T00:21:15.350969Z",
"expireTime": "2024-05-31T01:21:15.348014Z"
},
{
"name": "projects/PROJECT_NUMBER/locations/us-central1/cachedContents/CACHE_ID_N",
"model": "projects/PROJECT_ID/locations/us-central1/publishers/google/models/gemini-2.0-flash-001",
"createTime": "2024-05-30T21:14:39.880235Z",
"updateTime": "2024-05-31T00:21:15.350969Z",
"expireTime": "2024-05-31T01:21:15.348014Z"
}
]
}
Example curl command¶
LOCATION="us-central1"
PROJECT_ID="PROJECT_ID"
curl \
-X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
https://${LOCATION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${LOCATION}/cachedContents
Get information about a context cache¶
To get information about one context cache, you need its cache ID, the Google Cloud project ID with which the context cache is associated, and the region where the request to create the context cache was processed. The cache ID of a context cache is returned when you create the context cache. You can also get the cache ID of each context cache associated with a project using the context cache list command.
The following shows you how to get information about one context cache.
Go¶
Before trying this sample, follow the Go setup instructions in the Vertex AI quickstart. For more information, see the Vertex AI Go SDK for Gemini reference documentation.
To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up ADC for a local development environment.
Streaming and non-streaming responses¶
You can choose whether the model generates streaming responses or non-streaming responses. For streaming responses, you receive each response as soon as its output token is generated. For non-streaming responses, you receive all responses after all of the output tokens are generated.
For a streaming response, use the GenerateContentStream
method.
iter := model.GenerateContentStream(ctx, genai.Text("Tell me a story about a lumberjack and his giant ox. Keep it very short."))
For a non-streaming response, use the GenerateContent
method.
Sample code¶
import (
"context"
"fmt"
"io"
"cloud.google.com/go/vertexai/genai"
)
// getContextCache shows how to retrieve the metadata of a cached content
// contentName is the ID of the cached content to retrieve
func getContextCache(w io.Writer, contentName string, projectID, location string) error {
// location := "us-central1"
ctx := context.Background()
client, err := genai.NewClient(ctx, projectID, location)
if err != nil {
return fmt.Errorf("unable to create client: %w", err)
}
defer client.Close()
cachedContent, err := client.GetCachedContent(ctx, contentName)
if err != nil {
return fmt.Errorf("GetCachedContent: %w", err)
}
fmt.Fprintf(w, "Retrieved cached content %q", cachedContent.Name)
return nil
}
REST¶
The following shows how to use REST to list the context caches associated with a Google Cloud project by sending a GET request to the publisher model endpoint.
Before using any of the request data, make the following replacements:
- PROJECT_ID: Your project ID.
- LOCATION: The region where the request to create the context cache was processed.
- CACHE_ID: The ID of the context cache. The context cache ID is returned when you create the context cache. You can also find context cache IDs by listing the context caches for a Google Cloud project using. For more information, see create a context cache and list context caches.
HTTP method and URL:
GET https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents/CACHE_ID
To send your request, choose one of these options:
curl¶
Note:
The following command assumes that you have logged in to
the gcloud
CLI with your user account by running
gcloud init
or
gcloud auth login
, or by using Cloud Shell,
which automatically logs you into the gcloud
CLI
.
You can check the currently active account by running
gcloud auth list
.
Execute the following command:
curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents/CACHE_ID"
PowerShell¶
Note:
The following command assumes that you have logged in to
the gcloud
CLI with your user account by running
gcloud init
or
gcloud auth login
.
You can check the currently active account by running
gcloud auth list
.
Execute the following command:
$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cachedContents/CACHE_ID" | Select-Object -Expand Content
You should receive a JSON response similar to the following:
Response¶
{
"name": "projects/PROJECT_NUMBER/locations/us-central1/cachedContents/CACHE_ID",
"model": "projects/PROJECT_ID/locations/us-central1/publishers/google/models/gemini-2.0-flash-001",
"createTime": "2024-05-31T19:04:35.380412Z",
"updateTime": "2024-05-31T19:04:35.380412Z",
"expireTime": "2024-05-31T20:04:35.349680Z"
}
Example curl command¶
LOCATION="us-central1"
PROJECT_ID="PROJECT_ID"
CACHE_ID="CACHE_ID"
curl \
-X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
https://${LOCATION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${LOCATION}/${CACHE_ID}
- Learn how to use a context cache.
- Learn how to update the expiration time of a context cache.
- Learn how to delete a context cache.