Principle:Googleapis Python genai Cache Management
| Knowledge Sources | |
|---|---|
| Domains | Optimization, Resource_Management |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
A set of lifecycle operations for inspecting, listing, updating, and deleting cached content resources.
Description
Cache Management provides CRUD (Create-Read-Update-Delete) operations for cached content resources. After creation, caches can be retrieved to inspect their configuration, listed to discover all active caches, updated to extend their TTL or modify metadata, and deleted when no longer needed. Proper cache management prevents unnecessary storage costs and ensures expired or unused caches are cleaned up. It also enables operational monitoring of cache utilization.
Usage
Use cache management to maintain the lifecycle of cached content. Retrieve caches to check their expiry and configuration. List caches to audit resource usage. Update TTL to extend useful caches. Delete caches that are no longer needed to free resources and reduce costs. Implement cache rotation policies for long-running applications.
Theoretical Basis
Cache management follows standard CRUD resource lifecycle patterns:
# Cache lifecycle (pseudo-code)
cache = create(content, ttl) # CREATE
cache = get(cache.name) # READ
caches = list() # LIST
cache = update(cache.name, ttl) # UPDATE
delete(cache.name) # DELETE
Key considerations:
- Caches expire automatically based on TTL or expire_time
- Deleting unused caches reduces storage costs
- Updating TTL extends cache lifetime without re-creating