/**
 * A pluggable service for processing model objects during model building.
 *
 * <p>This service allows implementations to:</p>
 * <ul>
 *   <li>Pool identical objects to reduce memory footprint</li>
 *   <li>Intern objects for faster equality comparisons</li>
 *   <li>Apply custom optimization strategies</li>
 *   <li>Transform or modify objects during building</li>
 * </ul>
 *

#   request - Cache only for current request + its child requests
#   none    - Disable caching entirely
#
# REFERENCE OPTIONS:
#   hard - Strong reference (stays in memory, faster access)
#   soft - Weak reference (can be garbage collected under memory pressure)
#
# CONFIGURATION BREAKDOWN:
#   SourceCacheKey                   - File and RAW model requests (session/hard for consistent file access)

También podrías usar `from starlette.responses import JSONResponse`.

**FastAPI** proporciona los mismos `starlette.responses` que `fastapi.responses` solo como una conveniencia para ti, el desarrollador. Pero la mayoría de los responses disponibles provienen directamente de Starlette. Lo mismo con `status`.

///

## OpenAPI y documentación de API { #openapi-and-api-docs }

 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // not worth using in GWT for now

 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // not worth using in GWT for now

FESS_LOG_PATH=${packaging.fess.log.dir}
FESS_CONF_PATH=${packaging.fess.conf.dir}
FESS_VAR_PATH=${packaging.fess.var.dir}

FESS_DICTIONARY_PATH=/var/lib/opensearch/config/

# Port
FESS_PORT=8080

# Heap Memory
FESS_HEAP_SIZE=512m

# Elasticsearch Path
SEARCH_ENGINE_HOME=/usr/share/opensearch/

# Elasticsearch URL

- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.
- Root credentials can now be changed easily. Before, a two-step process was required to

 *
 * Features:
 * - Secure key storage with optional KeyStore integration
 * - Automatic key cleanup on close
 * - Thread-safe key management
 * - Key derivation utilities
 * - Memory wiping capabilities
 */
public class SecureKeyManager implements AutoCloseable {

    private static final Logger log = LoggerFactory.getLogger(SecureKeyManager.class);

podAnnotations: {}

# Additional pod labels
podLabels: {}

## Configure resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources:
  requests:
    memory: 16Gi

## List of policies to be created after minio install
##
## In addition to default policies [readonly|readwrite|writeonly|consoleAdmin|diagnostics]

# Despliega FastAPI en Proveedores de Nube { #deploy-fastapi-on-cloud-providers }

Puedes usar prácticamente **cualquier proveedor de nube** para desplegar tu aplicación FastAPI.

En la mayoría de los casos, los principales proveedores de nube tienen guías para desplegar FastAPI con ellos.

## FastAPI Cloud { #fastapi-cloud }

**[FastAPI Cloud](https://fastapicloud.com)** está construido por el mismo autor y equipo detrás de **FastAPI**.