import jakarta.annotation.Resource;
import jakarta.servlet.http.HttpServletRequest;

/**
 * Client class for RAG (Retrieval-Augmented Generation) chat functionality.
 *
 * Orchestrates the multi-phase RAG workflow including session management,
 * document search, and delegation to LlmClientManager for LLM operations.
 * Prompt construction and LLM-specific logic is handled by LlmClient implementations.
 *

              <exclude>META-INF/versions/9/com/**/*.class</exclude>
            </excludes>
            <archive>
              <manifestEntries>
                <Multi-Release>true</Multi-Release>
              </manifestEntries>
            </archive>
          </configuration>
          <dependencies>
            <dependency>
              <groupId>org.codehaus.plexus</groupId>

stated above is already equivalent to code execution. In any case, the
recommendation is not to serve models using Eager mode since it also has
performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple

from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None


items = [
    Item(name="Plumbus", description="A multi-purpose household device."),
    Item(name="Portal Gun", description="A portal opening device."),
    Item(name="Meeseeks Box", description="A box that summons a Meeseeks."),
]


app = FastAPI()

		"Please check the endpoint",
		`Single-Node modes requires absolute path without hostnames:
Examples:
   $ minio server /data/minio/ #Single Node Single Drive
   $ minio server /data-{1...4}/minio # Single Node Multi Drive`,
	)

	ErrUnsupportedBackend = newErrFn(
		"Unable to write to the backend",
		"Please ensure your drive supports O_DIRECT",
		"",
	)

	ErrUnableToWriteInBackend = newErrFn(

     */
    public void secureWipeKeys() {
        if (this.encryptionKey != null) {
            // Multi-pass secure wipe for enhanced security
            SecureKeyManager.secureWipe(this.encryptionKey);
            this.encryptionKey = null;
        }
        if (this.decryptionKey != null) {
            // Multi-pass secure wipe for enhanced security
            SecureKeyManager.secureWipe(this.decryptionKey);

     */
    public QueryStringBuilder() {
        // Default constructor
    }

    /**
     * Quotes a string value if it contains spaces.
     * Multi-word values are wrapped in double quotes with internal quotes replaced by spaces.
     *
     * @param value the string value to quote
     * @return the quoted string if it contains spaces, otherwise the original value
     */

このような場合、1 行に 1 つの JSON オブジェクトを送る「**JSON Lines**」形式を使うのが一般的です。

レスポンスの content type は `application/jsonl`（`application/json` の代わり）となり、ボディは次のようになります:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

  modularity.inferModulePath.set(true)
}

// Call the convention when the task has finished, to modify the jar to contain OSGi metadata.
tasks.named<Jar>("jvmJar").configure {
  manifest {
    attributes(
      "Multi-Release" to true,
    )
  }

  from(compileJavaModuleInfo.map { it.destinationDirectory }) {
    into("META-INF/versions/9/")
  }
}

project.applyOsgiMultiplatform(

 * <p><dfn>Dependency collection</dfn> builds a graph of {@link org.apache.maven.api.Node} objects containing
 * all the dependencies.</p>
 *
 * <p>The <dfn>Dependency graph flattening</dfn> process in Maven reduces a complex,
 * multi-level dependency graph to a map of ordered lists that can be turned into classpaths.
 * During this process only the most relevant version of each artifact