Bots

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• Label: here you can type a brief description

• Project ID: Cloud Platform project ID

• Client Email: email address associated with Service Account Key

• Private Key: private key associated with Service Account Key

• Language: the language you want to use for the bot

• Text: the text you want to send
  [DA CONFERMARE, COPIATO DA SOTTO]

VARIABLES: TO BE DEFINED

Configure an OpenAI bot in Tools → OpenAI Bots with the parameters:

• Recommended model "GPT-3.5-turbo" for simple bots, otherwise "GPT-4" (slower, but understands better in case of unclear transcripts)

• Max tokens: 2000

• Exit phrase: "I am transferring you to a human operator".

• ChatGPT prompt (highlighted differences from chatbot):

  • You are a voice bot assistant. Help users as much as possible.

    • Answer only in English.

    • Answer like in a phone conversation.

    • If the customer asks for a reservation, ask first for the day, then ask for the time.

    • If the customer asks for warranty information, ask for the customer number, then redirect to a human operator.

    • If the customer asks for a cancellation, ask for the customer number, and then the reservation number.

    • If you don't know how to help the user, tell the customer "I am redirecting you to a human operator".

  • Temperature: 0.1

  • Analyze chat (RECOMMENDED ENABLED):

    • Answer in a JSON format. The key is 'CHAT_PROGRESS', which is equal to '1' if chat is complete. Else it is equal to '0'. Write a key REASON about why CHAT_PROGRESS should be 1. If you say "Have a good day", CHAT_PROGRESS = 1. If you say "I am redirecting you to an human operator", CHAT_PROGRESS = 1

  • Forward message: “I am redirecting you to a human operator“

  • Error message: “Sorry, I ran into an error, I am redirecting you to a human operator”

  • Attachment message: “/“ (a voicebot can not have an attachment sent)

• Label: here you can type a brief description

• Project ID: Cloud Platform project ID

• Client Email: email address associated to Service Account Key

• Private Key: private key associated to Service Account Key

• Language: the language you want use for the bot

• Text: the text you want to send

The DialogflowV2 block saves the results in the following variables:

• DIALOGFLOW_ACTION: Matched Dialogflow intent action name

• DIALOGFLOW_ALLREQUIREDPARAMSPRESENT: True if all required parameter values have been collected (true-false)

• DIALOGFLOW_ENDCONVERSATION: True when 'end conversation' flag is set for the matched dialogflow intent. It is useful when you want to transfer a call to an agent (true/false)

• DIALOGFLOW_FULLFILLMENTTEXT: The text to be pronounced to the user or shown on the screen

• DIALOGFLOW_INTENTNAME: The unique identifier of the intent

• DIALOGFLOW_INTENTDISPLAYNAME: The display name of the intent

• DIALOGFLOW_ISFALLBACKINTENT: True when matched dialogflow intent is fallback intent (true-false)

• DIALOGFLOW_LANGUAGECODE: The language that was triggered during intent detection

• DIALOGFLOW_QUERYTEXT: User input

• DIALOGFLOW_RESPONSEID: The unique identifier of the response

• DIALOGFLOW_SCORE: Matching score for the intent (0-1)

• DIALOGFLOW_SPEECH: Text to be pronounced to the user

• DIALOGFLOW_RESOLVEDQUERY: The query that was used to produce the result.

Exit Arrows

This box provides just one arrow out to the next step

• Label: here you can type a brief description

• Key: your acquired client api key from the console.dialogflow.com account

• Text: the text you want to send

• Language: the language you want use for the bot

The Dialogflow block saves the results in the following variables:

• DIALOGFLOW_SOURCE: Request source name. 

• DIALOGFLOW_RESOLVEDQUERY: The query that was used to produce the result.

• DIALOGFLOW_ACTION: Matched Dialogflow intent action name.

• DIALOGFLOW_SPEECH: Text to be pronounced to the user.

• DIALOGFLOW_SCORE: Matching score for the intent (0-1).

• DIALOGFLOW_STATUSCODE: Response status code. For more information, please see here https://dialogflow.com/docs/fulfillment#errors

• DIALOGFLOW_ENDCONVERSATION: True when 'end conversation' flag is set for the matched dialogflow intent. It is useful when you want to transfer a call to an agent (true/false).

• DIALOGFLOW_ISFALLBACKINTENT: True when matched dialogflow intent is fallback intent (true-false).

Exit Arrows

This box provides just one arrow out to the next step

• Label: here you can type a brief description

• Access Key ID and Secret Access Key: AWS security credentials. Required: Yes 
  (see http://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/credentials.html )

• Region: AWS regional endpoint. Required: Yes (see http://docs.aws.amazon.com/general/latest/gr/rande.html#pol_region)

• Bot name: the bot name. Required: Yes

• Text: the text you want to send. Required: Yes

The Amazon Lex block saves the results in the following variables:

• AWS_LEX_INTENTNAME: The current user intent that Amazon Lex is aware of. (Read more)

• AWS_LEX_MESSAGE: The message to convey to the user. 

• AWS_LEX_MESSAGEFORMAT: The format of the response message. (Read more)

• AWS_LEX_DIALOGSTATE: Identifies the current state of the user interaction. (Read more)

• AWS_LEX_SLOTTOELICIT: If the AWS_LEX_DIALOGSTATE value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.

• AWS_LEX_SLOT_*: The intent slots that Amazon Lex detected from the user input in the conversation. (ex. AWS_LEX_SLOT_PICKUPCITY)