assertProvideThrowsException("Test(Classification)");
        assertProvideThrowsException("Test[Classification]");
        assertProvideThrowsException("Test{Classification}");
        assertProvideThrowsException("Test|Classification");
        assertProvideThrowsException("Test\\Classification");
        assertProvideThrowsException("Test/Classification");
        assertProvideThrowsException("Test<Classification>");

    if (part.length() < 1 || part.length() > MAX_DOMAIN_PART_LENGTH) {
      return false;
    }

    /*
     * GWT claims to support java.lang.Character's char-classification methods, but it actually only
     * works for ASCII. So for now, assume any non-ASCII characters are valid. The only place this
     * seems to be documented is here:

*   Added utility `tf.keras.utils.to_ordinal` to convert class vector to ordinal regression / classification matrix.

### Bug Fixes and Other Changes

*   N/A

## Security

    /** User wants a summary of a specific document */
    SUMMARY("summary"),

    /** User is asking a FAQ-type question */
    FAQ("faq"),

    /** Intent is unclear - need to ask user for clarification */
    UNCLEAR("unclear");

    private final String value;

    ChatIntent(final String value) {
        this.value = value;
    }

    /**
     * Returns the string value of this intent.
     *

errors.invalid_query_parse_error = La consulta proporcionada no es válida.
errors.invalid_query_sort_value = El orden de clasificación especificado {0} no es válido.
errors.invalid_query_unsupported_sort_field = El campo de ordenación especificado {0} no es compatible.
errors.invalid_query_unsupported_sort_order = El orden de clasificación especificado {0} no es compatible.
errors.invalid_query_cannot_process=No se pudo procesar la consulta especificada.

     */
    void streamGenerateAnswer(String userMessage, List<Map<String, Object>> documents, List<LlmMessage> history,
            LlmStreamCallback callback);

    /**
     * Generates a response asking user for clarification when intent is unclear.
     *
     * @param userMessage the user's message
     * @param history the conversation history
     * @param callback the streaming callback
     */

        }
        getAvailableClient().streamGenerateAnswer(userMessage, documents, history, callback);
    }

    /**
     * Generates a response asking user for clarification.
     *
     * @param userMessage the user's message
     * @param history the conversation history
     * @param callback the streaming callback
     * @throws LlmException if LLM is not available
     */

            }

            if (intentResult.getIntent() == ChatIntent.UNCLEAR) {
                // Unclear intent - generate answer with empty documents to ask for clarification
                final LlmChatResponse llmResponse = llmClientManager.generateAnswer(userMessage, Collections.emptyList(), history);

labels.password=Contraseña
labels.paths=Rutas
labels.port=Puerto
labels.regex=Expresión regular
labels.regularName=Nombre regular
labels.replacement=Reemplazo
labels.sessionId=ID de sesión
labels.sortOrder=Orden de clasificación
labels.updatedBy=Actualizado por
labels.updatedTime=Fecha de actualización
labels.urls=URLs
labels.userAgent=User-Agent
labels.username=Nombre de usuario
labels.value=Valor
labels.versionNo=Número de versión