Usare un dialogo per una competenza

DialogRootBot\appsettings.json

Facoltativamente, aggiungere le informazioni sull'identità del bot radice e aggiungere l'app o l'ID client per il bot di competenza echo alla BotFrameworkSkills matrice.

{
  "MicrosoftAppType": "",
  "MicrosoftAppId": "",
  "MicrosoftAppPassword": "",
  "MicrosoftAppTenantId": "",

  "SkillHostEndpoint": "http://localhost:3978/api/skills/",
  "BotFrameworkSkills": [
    {
      "Id": "DialogSkillBot",
      "AppId": "",
      "SkillEndpoint": "http://localhost:39783/api/messages"
    }
  ]
}

dialogRootBot/.env

Facoltativamente, aggiungere le informazioni sull'identità del bot radice e aggiungere l'app o l'ID client per il bot di competenza echo.

MicrosoftAppType=
MicrosoftAppId=
MicrosoftAppPassword=
MicrosoftAppTenantId=
SkillHostEndpoint=http://localhost:3978/api/skills/

SkillId=DialogSkillBot
SkillAppId=
SkillEndpoint=http://localhost:39783/api/messages

DialogRootBot\application.properties

Facoltativamente, aggiungere l'ID app e la password del bot radice e aggiungere l'ID app per il bot di competenza echo alla BotFrameworkSkills matrice.

MicrosoftAppId=
MicrosoftAppPassword=
server.port=3978
SkillhostEndpoint=http://localhost:3978/api/skills/
#replicate these three entries, incrementing the index value [0] for each successive Skill that is added.
BotFrameworkSkills[0].Id=DialogSkillBot
BotFrameworkSkills[0].AppId=
BotFrameworkSkills[0].SkillEndpoint=http://localhost:39783/api/messages

dialog-root-bot/config.py

Facoltativamente, aggiungere l'ID app e la password del bot radice e aggiungere l'ID app per il bot di competenza echo.

APP_ID = os.environ.get("MicrosoftAppId", "")
APP_PASSWORD = os.environ.get("MicrosoftAppPassword", "")
APP_TYPE = os.environ.get("MicrosoftAppType", "MultiTenant")
APP_TENANTID = os.environ.get("MicrosoftAppTenantId", "")
SKILL_HOST_ENDPOINT = "http://localhost:3978/api/skills"
SKILLS = [
    {
        "id": "DialogSkillBot",
        "app_id": "",
        "skill_endpoint": "http://localhost:39783/api/messages",
    },
]

DialogRootBot\Dialogs\MainDialog.cs

La classe MainDialog deriva da ComponentDialog. Oltre allo stato della conversazione, il dialogo richiede l'identità e i riferimenti del bot radice alla factory dell'ID conversazione competenza, al client HTTP della competenza e agli oggetti di configurazione delle competenze.

Il costruttore del dialogo controlla i parametri di input, aggiunge dialoghi di competenza, aggiunge dialoghi di richiesta e cascata per la gestione del flusso di conversazione all'esterno della competenza e crea una funzione di accesso alle proprietà per tenere traccia della competenza attiva, se presente.

Il costruttore chiama AddSkillDialogs, un metodo helper, per creare un elemento SkillDialog per ogni competenza inclusa nel file di configurazione, in base alla lettura del file di configurazione in un oggetto SkillsConfiguration.

// Helper method that creates and adds SkillDialog instances for the configured skills.
private void AddSkillDialogs(ConversationState conversationState, SkillConversationIdFactoryBase conversationIdFactory, SkillsConfiguration skillsConfig, string botId)
{
    foreach (var skillInfo in _skillsConfig.Skills.Values)
    {
        // Create the dialog options.
        var skillDialogOptions = new SkillDialogOptions
        {
            BotId = botId,
            ConversationIdFactory = conversationIdFactory,
            SkillClient = _auth.CreateBotFrameworkClient(),
            SkillHostEndpoint = skillsConfig.SkillHostEndpoint,
            ConversationState = conversationState,
            Skill = skillInfo
        };

        // Add a SkillDialog for the selected skill.
        AddDialog(new SkillDialog(skillDialogOptions, skillInfo.Id));
    }
}

dialogRootBot/dialogs/mainDialog.js

La classe MainDialog deriva da ComponentDialog. Oltre allo stato della conversazione, il dialogo richiede l'identità e i riferimenti del bot radice alla factory dell'ID conversazione competenza, al client HTTP della competenza e agli oggetti di configurazione delle competenze. Il codice recupera l'identità del bot dall'ambiente utente.

Il costruttore del dialogo controlla i parametri di input, aggiunge finestre di dialogo di competenze, aggiunge dialoghi di richiesta e cascata per la gestione del flusso di conversazione all'esterno della competenza e crea una funzione di accesso alle proprietà per tenere traccia della competenza attiva, se presente.

Il costruttore chiama addSkillDialogs, un metodo helper, per creare un elemento SkillDialog per ogni competenza inclusa nel file di configurazione, in base alla lettura del file di configurazione in un oggetto SkillsConfiguration.

async addSkillDialogs(conversationState, conversationIdFactory, skillClient, skillsConfig, botId) {
    Object.keys(skillsConfig.skills).forEach((skillId) => {
        const skillInfo = skillsConfig.skills[skillId];

        const skillOptions = {
            botId: process.env.MicrosoftAppId,
            conversationIdFactory,
            conversationState,
            skill: skillInfo,
            skillHostEndpoint: process.env.SkillHostEndpoint,
            skillClient
        };

        // Add a SkillDialog for the selected skill.
        this.addDialog(new SkillDialog(skillOptions, skillInfo.id));
    });
}

DialogRootBot\dialogs\MainDialog.java

La classe MainDialog deriva da ComponentDialog. Oltre allo stato della conversazione, il dialogo richiede l'ID dell'app del bot radice e fa riferimento alla factory dell'ID conversazione della competenza, al client HTTP di competenze e agli oggetti di configurazione delle competenze.

Il costruttore del dialogo controlla i parametri di input, aggiunge finestre di dialogo di competenze, aggiunge dialoghi di richiesta e cascata per la gestione del flusso di conversazione all'esterno della competenza e crea una funzione di accesso alle proprietà per tenere traccia della competenza attiva, se presente.

Il costruttore chiama addSkillDialogs, un metodo helper, per creare un elemento SkillDialog per ogni competenza inclusa nel file di configurazione, in base alla lettura del file di configurazione in un oggetto SkillsConfiguration.

private void addSkillDialogs(
    ConversationState conversationState,
    SkillConversationIdFactoryBase conversationIdFactory,
    SkillHttpClient skillClient,
    SkillsConfiguration skillsConfig,
    String botId
) {
    for (BotFrameworkSkill skillInfo : _skillsConfig.getSkills().values()) {
        // Create the dialog options.
        SkillDialogOptions skillDialogOptions = new SkillDialogOptions();
        skillDialogOptions.setBotId(botId);
        skillDialogOptions.setConversationIdFactory(conversationIdFactory);
        skillDialogOptions.setSkillClient(skillClient);
        skillDialogOptions.setSkillHostEndpoint(skillsConfig.getSkillHostEndpoint());
        skillDialogOptions.setConversationState(conversationState);
        skillDialogOptions.setSkill(skillInfo);
        // Add a SkillDialog for the selected skill.
        addDialog(new SkillDialog(skillDialogOptions, skillInfo.getId()));
    }
}

dialog-root-bot/dialogs/main_dialog.py

La classe MainDialog deriva da ComponentDialog. Oltre allo stato della conversazione, il dialogo richiede l'ID dell'app del bot radice e fa riferimento alla factory dell'ID conversazione della competenza, al client HTTP di competenze e agli oggetti di configurazione delle competenze.

Il costruttore del dialogo controlla i parametri di input, aggiunge finestre di dialogo di competenze, aggiunge dialoghi di richiesta e cascata per la gestione del flusso di conversazione all'esterno della competenza e crea una funzione di accesso alle proprietà per tenere traccia della competenza attiva, se presente.

Il costruttore chiama AddSkillDialogs, un metodo helper, per creare un elemento SkillDialog per ogni competenza inclusa nel file di configurazione, in base alla lettura del file di configurazione in un oggetto SkillConfiguration.

def _add_skill_dialogs(
    self,
    conversation_state: ConversationState,
    conversation_id_factory: ConversationIdFactoryBase,
    skill_client: SkillHttpClient,
    skills_config: SkillConfiguration,
    bot_id: str,
):
    """
    Helper method that creates and adds SkillDialog instances for the configured skills.
    """

    for _, skill_info in skills_config.SKILLS.items():
        # Create the dialog options.
        skill_dialog_options = SkillDialogOptions(
            bot_id=bot_id,
            conversation_id_factory=conversation_id_factory,
            skill_client=skill_client,
            skill_host_endpoint=skills_config.SKILL_HOST_ENDPOINT,
            conversation_state=conversation_state,
            skill=skill_info,
        )

        # Add a SkillDialog for the selected skill.
        self.add_dialog(SkillDialog(skill_dialog_options, skill_info.id))

DialogRootBot\Dialogs\MainDialog.cs

// Render a prompt to select the skill to call.
private async Task<DialogTurnResult> SelectSkillStepAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken)
{
    // Create the PromptOptions from the skill configuration which contain the list of configured skills.
    var messageText = stepContext.Options?.ToString() ?? "What skill would you like to call?";
    var repromptMessageText = "That was not a valid choice, please select a valid skill.";
    var options = new PromptOptions
    {
        Prompt = MessageFactory.Text(messageText, messageText, InputHints.ExpectingInput),
        RetryPrompt = MessageFactory.Text(repromptMessageText, repromptMessageText, InputHints.ExpectingInput),
        Choices = _skillsConfig.Skills.Select(skill => new Choice(skill.Value.Id)).ToList()
    };

    // Prompt the user to select a skill.
    return await stepContext.PromptAsync("SkillPrompt", options, cancellationToken);
}

dialogRootBot/dialogs/mainDialog.js

/**
 * Render a prompt to select the skill to call.
 */
async selectSkillStep(stepContext) {
    // Create the PromptOptions from the skill configuration which contains the list of configured skills.
    const messageText = stepContext.options && stepContext.options.text ? stepContext.options.text : 'What skill would you like to call?';
    const repromptMessageText = 'That was not a valid choice, please select a valid skill.';
    const options = {
        prompt: MessageFactory.text(messageText, messageText, InputHints.ExpectingInput),
        retryPrompt: MessageFactory.text(repromptMessageText, repromptMessageText, InputHints.ExpectingInput),
        choices: Object.keys(this.skillsConfig.skills)
    };

    // Prompt the user to select a skill.
    return await stepContext.prompt(SKILL_PROMPT, options);
}

DialogRootBot\Dialogs\MainDialog.java

public CompletableFuture<DialogTurnResult> selectSkillStep(WaterfallStepContext stepContext) {
    String messageText = "What skill would you like to call?";
    // Create the PromptOptions from the skill configuration which contain the list
    // of configured skills.
    if (stepContext.getOptions() != null) {
        messageText = stepContext.getOptions().toString();
    }
    String repromptMessageText = "That was not a valid choice, please select a valid skill.";
    PromptOptions options = new PromptOptions();
    options.setPrompt(MessageFactory.text(messageText, messageText, InputHints.EXPECTING_INPUT));
    options
        .setRetryPrompt(MessageFactory.text(repromptMessageText, repromptMessageText, InputHints.EXPECTING_INPUT));

    List<Choice> choicesList = new ArrayList<Choice>();
    for (BotFrameworkSkill skill : _skillsConfig.getSkills().values()) {
        choicesList.add(new Choice(skill.getId()));
    }
    options.setChoices(choicesList);

    // Prompt the user to select a skill.
    return stepContext.prompt("SkillPrompt", options);
}

dialog-root-bot/dialogs/main_dialog.py

async def _select_skill_action_step(
    self, step_context: WaterfallStepContext
) -> DialogTurnResult:
    """
    Render a prompt to select the action for the skill.
    """

    # Get the skill info based on the selected skill.
    selected_skill_id = step_context.result.value
    selected_skill = self._skills_config.SKILLS.get(selected_skill_id)

    # Remember the skill selected by the user.
    step_context.values[self._selected_skill_key] = selected_skill

    # Create the PromptOptions with the actions supported by the selected skill.
    message_text = (
        f"Select an action # to send to **{selected_skill.id}** or just type in a message "
        f"and it will be forwarded to the skill"
    )
    options = PromptOptions(
        prompt=MessageFactory.text(
            message_text, message_text, InputHints.expecting_input
        ),
        choices=self._get_skill_actions(selected_skill),
    )

    # Prompt the user to select a skill action.
    return await step_context.prompt("SkillActionPrompt", options)

DialogRootBot\Dialogs\MainDialog.cs

// Render a prompt to select the action for the skill.
private async Task<DialogTurnResult> SelectSkillActionStepAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken)
{
    // Get the skill info based on the selected skill.
    var selectedSkillId = ((FoundChoice)stepContext.Result).Value;
    var selectedSkill = _skillsConfig.Skills.FirstOrDefault(s => s.Value.Id == selectedSkillId).Value;

    // Remember the skill selected by the user.
    stepContext.Values[_selectedSkillKey] = selectedSkill;

    // Create the PromptOptions with the actions supported by the selected skill.
    var messageText = $"Select an action # to send to **{selectedSkill.Id}** or just type in a message and it will be forwarded to the skill";
    var options = new PromptOptions
    {
        Prompt = MessageFactory.Text(messageText, messageText, InputHints.ExpectingInput),
        Choices = GetSkillActions(selectedSkill)
    };

    // Prompt the user to select a skill action.
    return await stepContext.PromptAsync("SkillActionPrompt", options, cancellationToken);
}
// Helper method to create Choice elements for the actions supported by the skill.
private IList<Choice> GetSkillActions(BotFrameworkSkill skill)
{
    // Note: the bot would probably render this by reading the skill manifest.
    // We are just using hardcoded skill actions here for simplicity.

    var choices = new List<Choice>();
    switch (skill.Id)
    {
        case "DialogSkillBot":
            choices.Add(new Choice(SkillActionBookFlight));
            choices.Add(new Choice(SkillActionBookFlightWithInputParameters));
            choices.Add(new Choice(SkillActionGetWeather));
            break;
    }

    return choices;
}
// This validator defaults to Message if the user doesn't select an existing option.
private Task<bool> SkillActionPromptValidator(PromptValidatorContext<FoundChoice> promptContext, CancellationToken cancellationToken)
{
    if (!promptContext.Recognized.Succeeded)
    {
        // Assume the user wants to send a message if an item in the list is not selected.
        promptContext.Recognized.Value = new FoundChoice { Value = SkillActionMessage };
    }

    return Task.FromResult(true);
}

dialogRootBot/dialogs/mainDialog.js

/**
 * Render a prompt to select the action for the skill.
 */
async selectSkillActionStep(stepContext) {
    // Get the skill info based on the selected skill.
    const selectedSkillId = stepContext.result.value;
    const selectedSkill = this.skillsConfig.skills[selectedSkillId];

    // Remember the skill selected by the user.
    stepContext.values[this.selectedSkillKey] = selectedSkill;

    // Create the PromptOptions with the actions supported by the selected skill.
    const messageText = `Select an action # to send to **${ selectedSkill.id }** or just type in a message and it will be forwarded to the skill`;
    const options = {
        prompt: MessageFactory.text(messageText, messageText, InputHints.ExpectingInput),
        choices: this.getSkillActions(selectedSkill)
    };

    // Prompt the user to select a skill action.
    return await stepContext.prompt(SKILL_ACTION_PROMPT, options);
}

/**
 * Helper method to create Choice elements for the actions supported by the skill.
 */
getSkillActions(skill) {
    // Note: The bot would probably render this by reading the skill manifest.
    // We are just using hardcoded skill actions here for simplicity.
    const choices = [];
    switch (skill.id) {
        case 'DialogSkillBot':
            choices.push({ value: SKILL_ACTION_BOOK_FLIGHT });
            choices.push({ value: SKILL_ACTION_BOOK_FLIGHT_WITH_INPUT_PARAMETERS });
            choices.push({ value: SKILL_ACTION_GET_WEATHER });
            break;
    }

    return choices;
}

/**
 * This validator defaults to Message if the user doesn't select an existing option.
 */
async skillActionPromptValidator(promptContext) {
    if (!promptContext.recognized.succeeded) {
        promptContext.recognized.value = { value: SKILL_ACTION_MESSAGE };
    }

    return true;
}

DialogRootBot\Dialogs\MainDialog.java

public CompletableFuture<DialogTurnResult> selectSkillActionStep(WaterfallStepContext stepContext) {
    // Get the skill info super. on the selected skill.
    String selectedSkillId = ((FoundChoice) stepContext.getResult()).getValue();
    BotFrameworkSkill selectedSkill = _skillsConfig.getSkills()
        .values()
        .stream()
        .filter(x -> x.getId().equals(selectedSkillId))
        .findFirst()
        .get();

    // Remember the skill selected by the user.
    stepContext.getValues().put(_selectedSkillKey, selectedSkill);

    // Create the PromptOptions with the actions supported by the selected skill.
    String messageText = String.format(
        "Select an action # to send to **%n** or just type in a " + "message and it will be forwarded to the skill",
        selectedSkill.getId()
    );
    PromptOptions options = new PromptOptions();
    options.setPrompt(MessageFactory.text(messageText, messageText, InputHints.EXPECTING_INPUT));
    options.setChoices(getSkillActions(selectedSkill));

    // Prompt the user to select a skill action.
    return stepContext.prompt("SkillActionPrompt", options);
}

private List<Choice> getSkillActions(BotFrameworkSkill skill) {
    // Note: the bot would probably render this by reading the skill manifest.
    // We are just using hardcoded skill actions here for simplicity.

    List<Choice> choices = new ArrayList<Choice>();
    switch (skill.getId()) {
        case "DialogSkillBot":
            choices.add(new Choice(SkillActionBookFlight));
            choices.add(new Choice(SkillActionBookFlightWithInputParameters));
            choices.add(new Choice(SkillActionGetWeather));
            break;
    }

    return choices;
}

addDialog(new ChoicePrompt("SkillActionPrompt", (promptContext) -> {
    if (!promptContext.getRecognized().getSucceeded()) {
        // Assume the user wants to send a message if an item in the list is not
        // selected.
        FoundChoice foundChoice = new FoundChoice();
        foundChoice.setValue(SkillActionMessage);
        promptContext.getRecognized().setValue(foundChoice);
    }
    return CompletableFuture.completedFuture(true);
}, ""));

dialog-root-bot/dialogs/main_dialog.py

async def _select_skill_action_step(
    self, step_context: WaterfallStepContext
) -> DialogTurnResult:
    """
    Render a prompt to select the action for the skill.
    """

    # Get the skill info based on the selected skill.
    selected_skill_id = step_context.result.value
    selected_skill = self._skills_config.SKILLS.get(selected_skill_id)

    # Remember the skill selected by the user.
    step_context.values[self._selected_skill_key] = selected_skill

    # Create the PromptOptions with the actions supported by the selected skill.
    message_text = (
        f"Select an action # to send to **{selected_skill.id}** or just type in a message "
        f"and it will be forwarded to the skill"
    )
    options = PromptOptions(
        prompt=MessageFactory.text(
            message_text, message_text, InputHints.expecting_input
        ),
        choices=self._get_skill_actions(selected_skill),
    )

    # Prompt the user to select a skill action.
    return await step_context.prompt("SkillActionPrompt", options)

def _get_skill_actions(self, skill: BotFrameworkSkill) -> List[Choice]:
    """
    Helper method to create Choice elements for the actions supported by the skill.
    """

    # Note: the bot would probably render this by reading the skill manifest.
    # We are just using hardcoded skill actions here for simplicity.

    choices = []
    if skill.id == "DialogSkillBot":
        choices.append(Choice(self._skill_action_book_flight))
        choices.append(Choice(self._skill_action_book_flight_with_input_parameters))
        choices.append(Choice(self._skill_action_get_weather))

    return choices

async def _skill_action_prompt_validator(
    self, prompt_context: PromptValidatorContext
) -> bool:
    """
    This validator defaults to Message if the user doesn't select an existing option.
    """

    if not prompt_context.recognized.succeeded:
        # Assume the user wants to send a message if an item in the list is not selected.
        prompt_context.recognized.value = FoundChoice(
            self._skill_action_message, None, None
        )

    return True

DialogRootBot\Dialogs\MainDialog.cs

// Starts the SkillDialog based on the user's selections.
private async Task<DialogTurnResult> CallSkillActionStepAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken)
{
    var selectedSkill = (BotFrameworkSkill)stepContext.Values[_selectedSkillKey];

    Activity skillActivity;
    switch (selectedSkill.Id)
    {
        case "DialogSkillBot":
            skillActivity = CreateDialogSkillBotActivity(((FoundChoice)stepContext.Result).Value, stepContext.Context);
            break;

        // We can add other case statements here if we support more than one skill.
        default:
            throw new Exception($"Unknown target skill id: {selectedSkill.Id}.");
    }

    // Create the BeginSkillDialogOptions and assign the activity to send.
    var skillDialogArgs = new BeginSkillDialogOptions { Activity = skillActivity };

    // Save active skill in state.
    await _activeSkillProperty.SetAsync(stepContext.Context, selectedSkill, cancellationToken);

    // Start the skillDialog instance with the arguments. 
    return await stepContext.BeginDialogAsync(selectedSkill.Id, skillDialogArgs, cancellationToken);
}

dialogRootBot/dialogs/mainDialog.js

/**
 * Starts the SkillDialog based on the user's selections.
 */
async callSkillActionStep(stepContext) {
    const selectedSkill = stepContext.values[this.selectedSkillKey];

    let skillActivity;
    switch (selectedSkill.id) {
        case 'DialogSkillBot':
            skillActivity = this.createDialogSkillBotActivity(stepContext.result.value, stepContext.context);
            break;
        // We can add other case statements here if we support more than one skill.
        default:
            throw new Error(`Unknown target skill id: ${ selectedSkill.id }`);
    }

    // Create the BeginSkillDialogOptions and assign the activity to send.
    const skillDialogArgs = { activity: skillActivity };

    // Save active skill in state.
    await this.activeSkillProperty.set(stepContext.context, selectedSkill);

    // Start the skillDialog instance with the arguments.
    return await stepContext.beginDialog(selectedSkill.id, skillDialogArgs);
}

DialogRootBot\Dialogs\MainDialog.java

public CompletableFuture<DialogTurnResult> callSkillActionStep(WaterfallStepContext stepContext) {
    BotFrameworkSkill selectedSkill = (BotFrameworkSkill) stepContext.getValues().get(_selectedSkillKey);

    Activity skillActivity;
    switch (selectedSkill.getId()) {
        case "DialogSkillBot":
            skillActivity = createDialogSkillBotActivity(
                ((FoundChoice) stepContext.getResult()).getValue(),
                stepContext.getContext()
            );
            break;

        // We can add other case statements here if we support more than one skill.
        default:
            throw new RuntimeException(String.format("Unknown target skill id: %s.", selectedSkill.getId()));
    }

    // Create the BeginSkillDialogOptions and assign the activity to send.
    BeginSkillDialogOptions skillDialogArgs = new BeginSkillDialogOptions();
    skillDialogArgs.setActivity(skillActivity);

    // Save active skill in state.
    activeSkillProperty.set(stepContext.getContext(), selectedSkill);

    // Start the skillDialog instance with the arguments.
    return stepContext.beginDialog(selectedSkill.getId(), skillDialogArgs);
}

dialog-root-bot/dialogs/main_dialog.py

async def _call_skill_action_step(
    self, step_context: WaterfallStepContext
) -> DialogTurnResult:
    """
    Starts the SkillDialog based on the user's selections.
    """

    selected_skill: BotFrameworkSkill = step_context.values[
        self._selected_skill_key
    ]

    if selected_skill.id == "DialogSkillBot":
        skill_activity = self._create_dialog_skill_bot_activity(
            step_context.result.value, step_context.context
        )
    else:
        raise Exception(f"Unknown target skill id: {selected_skill.id}.")

    # Create the BeginSkillDialogOptions and assign the activity to send.
    skill_dialog_args = BeginSkillDialogOptions(skill_activity)

    # Save active skill in state.
    await self._active_skill_property.set(step_context.context, selected_skill)

    # Start the skillDialog instance with the arguments.
    return await step_context.begin_dialog(selected_skill.id, skill_dialog_args)

DialogRootBot\Dialogs\MainDialog.cs

// The SkillDialog has ended, render the results (if any) and restart MainDialog.
private async Task<DialogTurnResult> FinalStepAsync(WaterfallStepContext stepContext, CancellationToken cancellationToken)
{
    var activeSkill = await _activeSkillProperty.GetAsync(stepContext.Context, () => null, cancellationToken);

    // Check if the skill returned any results and display them.
    if (stepContext.Result != null)
    {
        var message = $"Skill \"{activeSkill.Id}\" invocation complete.";
        message += $" Result: {JsonConvert.SerializeObject(stepContext.Result)}";
        await stepContext.Context.SendActivityAsync(MessageFactory.Text(message, message, inputHint: InputHints.IgnoringInput), cancellationToken: cancellationToken);
    }

    // Clear the skill selected by the user.
    stepContext.Values[_selectedSkillKey] = null;

    // Clear active skill in state.
    await _activeSkillProperty.DeleteAsync(stepContext.Context, cancellationToken);

    // Restart the main dialog with a different message the second time around.
    return await stepContext.ReplaceDialogAsync(InitialDialogId, $"Done with \"{activeSkill.Id}\". \n\n What skill would you like to call?", cancellationToken);
}

dialogRootBot/dialogs/mainDialog.js

/**
 * The SkillDialog has ended, render the results (if any) and restart MainDialog.
 */
async finalStep(stepContext) {
    const activeSkill = await this.activeSkillProperty.get(stepContext.context, () => null);

    // Check if the skill returned any results and display them.
    if (stepContext.result != null) {
        let message = `Skill "${ activeSkill.id }" invocation complete.`;
        message += `\nResult: ${ JSON.stringify(stepContext.result, null, 2) }`;
        await stepContext.context.sendActivity(message, message, InputHints.IgnoringInput);
    }

    // Clear the skill selected by the user.
    stepContext.values[this.selectedSkillKey] = null;

    // Clear active skill in state.
    await this.activeSkillProperty.delete(stepContext.context);

    // Restart the main dialog with a different message the second time around.
    return await stepContext.replaceDialog(this.initialDialogId, { text: `Done with "${ activeSkill.id }". \n\n What skill would you like to call?` });
}

DialogRootBot\Dialogs\MainDialog.java

public CompletableFuture<DialogTurnResult> finalStep(WaterfallStepContext stepContext) {
    return activeSkillProperty.get(stepContext.getContext(), () -> null).thenCompose(activeSkill -> {
        if (stepContext.getResult() != null) {
            String jsonResult = "";
            try {
                jsonResult =
                    new JacksonAdapter().serialize(stepContext.getResult()).replace("{", "").replace("}", "");
            } catch (IOException e) {
                e.printStackTrace();
            }
            String message =
                String.format("Skill \"%s\" invocation complete. Result: %s", activeSkill.getId(), jsonResult);
            stepContext.getContext().sendActivity(MessageFactory.text(message, message, InputHints.IGNORING_INPUT));
        }

        // Clear the skill selected by the user.
        stepContext.getValues().put(_selectedSkillKey, null);

        // Clear active skill in state.
        activeSkillProperty.delete(stepContext.getContext());

        // Restart the main dialog with a different message the second time around.
        return stepContext.replaceDialog(
            getInitialDialogId(),
            String.format("Done with \"%s\". \n\n What skill would you like to call?", activeSkill.getId())
        );
    });
    // Check if the skill returned any results and display them.
}

dialog-root-bot/dialogs/main_dialog.py

async def _final_step(self, step_context: WaterfallStepContext) -> DialogTurnResult:
    """
    The SkillDialog has ended, render the results (if any) and restart MainDialog.
    """

    active_skill = await self._active_skill_property.get(step_context.context)

    if step_context.result:
        message = f"Skill {active_skill.id} invocation complete."
        message += f" Result: {step_context.result}"
        await step_context.context.send_activity(
            MessageFactory.text(message, input_hint=InputHints.ignoring_input)
        )

    # Clear the skill selected by the user.
    step_context.values[self._selected_skill_key] = None

    # Clear active skill in state.
    await self._active_skill_property.delete(step_context.context)

    # Restart the main dialog with a different message the second time around
    return await step_context.replace_dialog(
        self.initial_dialog_id,
        f'Done with "{active_skill.id}". \n\n What skill would you like to call?',
    )

DialogRootBot\Dialogs\MainDialog.cs

protected override async Task<DialogTurnResult> OnContinueDialogAsync(DialogContext innerDc, CancellationToken cancellationToken = default)
{
    // This is an example on how to cancel a SkillDialog that is currently in progress from the parent bot.
    var activeSkill = await _activeSkillProperty.GetAsync(innerDc.Context, () => null, cancellationToken);
    var activity = innerDc.Context.Activity;
    if (activeSkill != null && activity.Type == ActivityTypes.Message && activity.Text.Equals("abort", StringComparison.OrdinalIgnoreCase))
    {
        // Cancel all dialogs when the user says abort.
        // The SkillDialog automatically sends an EndOfConversation message to the skill to let the
        // skill know that it needs to end its current dialogs, too.
        await innerDc.CancelAllDialogsAsync(cancellationToken);
        return await innerDc.ReplaceDialogAsync(InitialDialogId, "Canceled! \n\n What skill would you like to call?", cancellationToken);
    }

    return await base.OnContinueDialogAsync(innerDc, cancellationToken);
}

dialogRootBot/dialogs/mainDialog.js

async onContinueDialog(innerDc) {
    const activeSkill = await this.activeSkillProperty.get(innerDc.context, () => null);
    const activity = innerDc.context.activity;
    if (activeSkill != null && activity.type === ActivityTypes.Message && activity.text.toLowerCase() === 'abort') {
        // Cancel all dialogs when the user says abort.
        // The SkillDialog automatically sends an EndOfConversation message to the skill to let the
        // skill know that it needs to end its current dialogs, too.
        await innerDc.cancelAllDialogs();
        return await innerDc.replaceDialog(this.initialDialogId, { text: 'Canceled! \n\n What skill would you like to call?' });
    }

    return await super.onContinueDialog(innerDc);
}

DialogRootBot\Dialogs\MainDialog.java

// Cancel all dialogs when the user says abort.
// The SkillDialog automatically sends an EndOfConversation message to the skill
// to let the
// skill know that it needs to end its current dialogs, too.
return innerDc.cancelAllDialogs()
    .thenCompose(
        result -> innerDc
            .replaceDialog(getInitialDialogId(), "Canceled! \n\n What skill would you like to call?")
    );

dialog-root-bot/dialogs/main_dialog.py

async def on_continue_dialog(self, inner_dc: DialogContext) -> DialogTurnResult:
    # This is an example on how to cancel a SkillDialog that is currently in progress from the parent bot.
    active_skill = await self._active_skill_property.get(inner_dc.context)
    activity = inner_dc.context.activity

    if (
        active_skill
        and activity.type == ActivityTypes.message
        and "abort" in activity.text
    ):
        # Cancel all dialogs when the user says abort.
        # The SkillDialog automatically sends an EndOfConversation message to the skill to let the
        # skill know that it needs to end its current dialogs, too.
        await inner_dc.cancel_all_dialogs()
        return await inner_dc.replace_dialog(self.initial_dialog_id)

    return await super().on_continue_dialog(inner_dc)

DialogRootBot\Bots\RootBot.cs

public class RootBot<T> : ActivityHandler
    where T : Dialog

private readonly ConversationState _conversationState;
private readonly Dialog _mainDialog;

public RootBot(ConversationState conversationState, T mainDialog)
{
    _conversationState = conversationState;
    _mainDialog = mainDialog;
}

public override async Task OnTurnAsync(ITurnContext turnContext, CancellationToken cancellationToken = default)
{
    if (turnContext.Activity.Type != ActivityTypes.ConversationUpdate)
    {
        // Run the Dialog with the Activity.
        await _mainDialog.RunAsync(turnContext, _conversationState.CreateProperty<DialogState>("DialogState"), cancellationToken);
    }
    else
    {
        // Let the base class handle the activity.
        await base.OnTurnAsync(turnContext, cancellationToken);
    }

    // Save any state changes that might have occurred during the turn.
    await _conversationState.SaveChangesAsync(turnContext, false, cancellationToken);
}

dialogRootBot/bots/rootBot.js

class RootBot extends ActivityHandler {

constructor(conversationState, dialog) {
    super();
    if (!conversationState) throw new Error('[RootBot]: Missing parameter. conversationState is required');
    if (!dialog) throw new Error('[RootBot]: Missing parameter. dialog is required');

    this.conversationState = conversationState;
    this.dialog = dialog;

    this.onTurn(async (turnContext, next) => {
        if (turnContext.activity.type !== ActivityTypes.ConversationUpdate) {
            // Run the Dialog with the activity.
            await runDialog(this.dialog, turnContext, this.conversationState.createProperty('DialogState'));
        }

        await next();
    });

/**
 * Override the ActivityHandler.run() method to save state changes after the bot logic completes.
 */
async run(context) {
    await super.run(context);

    // Save any state changes. The load happened during the execution of the Dialog.
    await this.conversationState.saveChanges(context, false);
}

DialogRootBot\Bots\RootBot.java

public class RootBot<T extends Dialog> extends ActivityHandler {

public RootBot(ConversationState conversationState, T mainDialog) {
    this.conversationState = conversationState;
    this.mainDialog = mainDialog;
}

@Override
public CompletableFuture<Void> onTurn(TurnContext turnContext) {
    return handleTurn(turnContext).thenCompose(result -> conversationState.saveChanges(turnContext, false));
}

private CompletableFuture<Void> handleTurn(TurnContext turnContext) {
    if (!turnContext.getActivity().getType().equals(ActivityTypes.CONVERSATION_UPDATE)) {
        // Run the Dialog with the Activity.
        return Dialog.run(mainDialog, turnContext, conversationState.createProperty("DialogState"));
    } else {
        // Let the super.class handle the activity.
        return super.onTurn(turnContext);
    }
}

dialog-root-bot/bots/root_bot.py

class RootBot(ActivityHandler):
    def __init__(
        self, conversation_state: ConversationState, main_dialog: Dialog,
    ):
        self._conversation_state = conversation_state
        self._main_dialog = main_dialog

    async def on_turn(self, turn_context: TurnContext):
        if turn_context.activity.type != ActivityTypes.conversation_update:
            # Run the Dialog with the Activity.
            await DialogExtensions.run_dialog(
                self._main_dialog,
                turn_context,
                self._conversation_state.create_property("DialogState"),
            )
        else:
            # Let the base class handle the activity.
            await super().on_turn(turn_context)

        # Save any state changes that might have occurred during the turn.
        await self._conversation_state.save_changes(turn_context)