```

/// tip | Dica

Observe que ambos têm o mesmo host.

///

Usando o frontend, você pode fazer o agente de IA executar ações em seu nome.

Como está em execução localmente e não na Internet aberta, você decide não configurar autenticação, confiando apenas no acesso à rede local.

Então um de seus usuários poderia instalá-lo e executá-lo localmente.

Em seguida, poderia abrir um site malicioso, por exemplo:

```

   |
   | * provides: A list of key/value-pairs.
   |   Based on the toolchain-configuration in the pom.xml Maven will search for
   |   matching <provides/> configuration. You can decide for yourself which key-value
   |   pairs to use. Often used keys are 'version', 'vendor' and 'arch'. By default
   |   the version has a special meaning. If you configured in the pom.xml '1.5'

      },
      "expires": {
        "type": "date",
        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {

## What contributors can expect from us

1. **Human review, human decisions.** A real human developer will review your PR, provide feedback, and decide whether to accept or reject it. We may use AI tools to help us understand your changes, but a human is always in charge.

      },
      "expires": {
        "type": "date",
        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {

                // Simulate storing documents
                Map<String, Object> doc1 = new HashMap<>();
                doc1.put("id", "1");
                doc1.put("title", "Document 1");
                callback.store(initParamMap, doc1);

                Map<String, Object> doc2 = new HashMap<>();
                doc2.put("id", "2");

      },
      "expires": {
        "type": "date",
        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {

     * @return array of supported algorithm constants
     */
    int[] getSupportedAlgorithms();

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)

 * remain in their original namespace. This reduces the final Gradle distribution
 * size and makes us more conscious of which parts of a library we really need.
 *
 * WARNING: if you decide to do the minification by hand, make sure that you cover all paths of loading classes:
 * reflection, dynamic loading, etc. and understand how the library works internally.
 * These changes might break things in subtle ways otherwise.

                    return "expires";
                case FessConfig.INDEX_FIELD_URL:
                    return "url";
                case FessConfig.INDEX_FIELD_doc_id:
                    return "doc_id";
                case FessConfig.INDEX_FIELD_ID:
                    return "id";
                case FessConfig.INDEX_FIELD_VERSION:
                    return "_version";