This document lists the quotas and system limits that apply to Vertex AI Agent Builder.
- Quotas have default values, but you can typically request adjustments.
- System limits are fixed values that can't be changed.
Google Cloud uses quotas to help ensure fairness and reduce spikes in resource use and availability. A quota restricts how much of a Google Cloud resource your Google Cloud project can use. Quotas apply to a range of resource types, including hardware, software, and network components. For example, quotas can restrict the number of API calls to a service, the number of load balancers used concurrently by your project, or the number of projects that you can create. Quotas protect the community of Google Cloud users by preventing the overloading of services. Quotas also help you to manage your own Google Cloud resources.
The Cloud Quotas system does the following:
- Monitors your consumption of Google Cloud products and services
- Restricts your consumption of those resources
- Provides a way to request changes to the quota value and automate quota adjustments
In most cases, when you attempt to consume more of a resource than its quota allows, the system blocks access to the resource, and the task that you're trying to perform fails.
Quotas generally apply at the Google Cloud project level. Your use of a resource in one project doesn't affect your available quota in another project. Within a Google Cloud project, quotas are shared across all applications and IP addresses.
Vertex AI Agent Engine quotas
The following quotas apply to Vertex AI Agent Engine for a given project in each region:| Description | Quota | Metric |
|---|---|---|
| Create, delete, or update Vertex AI Agent Engine resources per minute | 10 | aiplatform.googleapis.com/reasoning_engine_service_write_requests |
| Create, delete, or update Vertex AI Agent Engine sessions per minute | 100 | aiplatform.googleapis.com/session_write_requests |
Query or StreamQuery Vertex AI Agent Engine per minute |
90 | aiplatform.googleapis.com/reasoning_engine_service_query_requests |
| Append event to Vertex AI Agent Engine sessions per minute | 300 | aiplatform.googleapis.com/session_event_append_requests |
| Maximum number of Vertex AI Agent Engine resources | 100 | aiplatform.googleapis.com/reasoning_engine_service_entities |
| Create, delete, or update Vertex AI Agent Engine memory resources per minute | 100 | aiplatform.googleapis.com/memory_bank_write_requests |
| Get, list, or retrieve from Vertex AI Agent Engine Memory Bank per minute | 300 | aiplatform.googleapis.com/memory_bank_read_requests |
| Sandbox environment (Code Execution) execute requests per minute | 1000 | aiplatform.googleapis.com/sandbox_environment_execute_requests |
| Sandbox environment (Code Execution) entities per region | 1000 | aiplatform.googleapis.com/sandbox_environment_entities |
A2A Agent post requests like sendMessage and cancelTaskper minute |
60 | aiplatform.googleapis.com/a2a_agent_post_requests |
A2A Agent get requests like getTask and getCard per minute |
600 | aiplatform.googleapis.com/a2a_agent_get_requests |
Concurrent live bidirectional connections using the BidiStreamQuery API per minute |
10 | aiplatform.googleapis.com/reasoning_engine_service_concurrent_query_requests |
Request a quota adjustment
To adjust most quotas, use the Google Cloud console. For more information, see Request a quota adjustment.