//                                                                         ===========
    protected final ColumnInfo _columnName = cci("name", "name", null, null, String.class, "name", null, false, false, false, "keyword", 0,
            0, null, null, false, null, null, null, null, null, false);

    public ColumnInfo columnName() {
        return _columnName;
    }

    protected List<ColumnInfo> ccil() {

labels.search_result_time=({0} seconds)
labels.prev_page=Prev
labels.next_page=Next
labels.did_not_match=Your search - <b>{0}</b> - did not match any documents.
labels.did_not_match_suggestion=Try different keywords or check your spelling.
labels.search_title=Fess
labels.search_popular_word_word=Popular Words:
labels.search_related_queries=Related Words:
labels.search_result_select_sort=-  Sort  -

 * including tracking information for optimistic locking and audit trails.
 * Key matches are used to promote specific documents when certain keywords are searched.
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    /**

            false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnName = cci("name", "name", null, null, String.class, "name", null, false, false, false, "keyword", 0,
            0, null, null, false, null, null, null, null, null, false);

    public ColumnInfo columnGidNumber() {
        return _columnGidNumber;
    }

    public ColumnInfo columnName() {

        context.addFieldLog(field, text);
        context.addHighlightedQuery(text);
        return buildMatchPhraseQuery(field, text).boost(boost);
    }

    /**
     * Converts a term query to a keyword-based exact term query.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply

    /**
     * Detects the intent of a user message using the configured LLM client.
     *
     * @param userMessage the user's message
     * @return the detected intent with extracted keywords
     * @throws LlmException if LLM is not available
     */
    public IntentDetectionResult detectIntent(final String userMessage) {
        if (logger.isDebugEnabled()) {

    }

    @Test
    public void test_search_withSimpleQuery() {
        final String query = "singleKeyword";
        final IntentDetectionResult result = IntentDetectionResult.search(query, "single keyword search");

        assertEquals(ChatIntent.SEARCH, result.getIntent());
        assertEquals("singleKeyword", result.getQuery());
    }

    @Test
    public void test_search_withFessQuery() {

        final ResponseData responseData = new ResponseData();
        final Map<String, Object> metaDataMap = responseData.getMetaDataMap();
        metaDataMap.put("author", "John Doe");
        metaDataMap.put("keywords", new String[] { "java", "search" });

        assertNotNull(responseData.getMetaDataMap());
        assertEquals(2, responseData.getMetaDataMap().size());

                    // Replace __keywords__ placeholder with actual keywords
                    if (data.keywords) {
                        phaseMessage = phaseMessage.replace('__keywords__', data.keywords);
                    }
                    showStatus('thinking', phaseMessage);
                    updateProgressMessage(phaseMessage);

          "type":       "stop",
          "stopwords_path": "${fess.dictionary.path}bg/stopwords.txt"
        },
        "bulgarian_keywords": {
          "type":       "keyword_marker",
          "keywords":   ["пример"]
        },
        "bulgarian_stemmer": {
          "type":       "stemmer",
          "language":   "bulgarian"
        },
        "bulgarian_override": {