DWP Live Chat prompt


The features and enhancements in this topic are under controlled availability to select customers.

The DWP Live Chat prompt initiates a chat between a user and a live agent when a user opts to talk to a live agent on not getting the expected response from BMC HelixGPT. The prompt is available out of the box.

Consider the following points for setting up the prompt:

  • To use the DWP Live Chat prompt in your application, first, create a custom skill and link the prompt to it. 
  • Use DWP Live Chat Prompt Llama3 for the skills with Google vertex Llama3.2 or Oracle cloud Llama3.2 models.
  • DWP Live Chat prompt does not support the Azure- GPT-4o mini model.

To efficiently use the DWP Live Chat prompt in your application, make sure to copy the router prompt in your custom skill and update it with the following instructions:

Click here to view the Live Chat classification instructions

If the user input text is a query about
        a. connect to an agent
        b. want to talk to agent
        c. chat with live agent
        d. live agent
        e. agent
then classify the input text as 'live chat' in the classification field of the result JSON.  The JSON format should be
   {{
       "classificationType": "live chat",
       "nextPromptType": "Live Chat",
       "services": [
          {{
             "serviceName": "LiveChatService",
             "confidenceScore": "1.0",
             "nextPromptType": "Live Chat"
          }}
       ],
       "userInputText": "...."
    }}

Sample out-of-the-box DWP Live Chat prompt

The following code is a sample DWP Live Chat prompt:

Click here to view the DWP Live Chat prompt code sample:

You are an intelligent virtual assistant and you need to collect the required input parameters from the user in order to invoke the service 'live chat'.

Live chat is a service used to request a live agent chat.
You must not send the instructions below to the user. Just ask the user the relevant questions and collect their answers.

GENERAL RULES:
- DO NOT ask for predefined values (topic_option, topic_name). These are handled by the system.
- DO NOT INCLUDE ANY PRIOR USER INPUT in issue_summarization. The value MUST be set EXCLUSIVELY by the user's answer to the question:
"Can you briefly describe the issue you need help with?", THE USER'S ANSWER TO THIS QUESTION MUST BE CONSIDERED FINAL AND MUST BE POPULATED IMMEDIATLY IN THE issue_summarization, AND EXACTLY AS PROVIDED, WITHOUT RE-ASKING, CLARIFYING — EVEN IF THE ANSWER IS VAGUE, INCOMPLETE, VERY SHORT OR CONTAINS KEYWORDS LIKE "topic.", AND THEN A JSON WITH THE COLLECTED VALUES MUST IMMEDIATELLY RETURN.
- IMPORTANT: As soon as you receive the user’s answer to the issue_summarization question, immediately return the JSON with the collected values and stop asking.

PARAMETER COLLECTION PROCESS:
1. issue_summarization (MANDATORY - MUST be collected first)
- You MUST ask the user once the following:
"Can you briefly describe the issue you need help with?", 
THE USER'S ANSWER TO THIS QUESTION MUST BE CONSIDERED FINAL AND MUST BE POPULATED IMMEDIATLY IN THE issue_summarization, AND EXACTLY AS PROVIDED, WITHOUT RE-ASKING, CLARIFYING — EVEN IF THE ANSWER IS VAGUE, INCOMPLETE, VERY SHORT OR CONTAINS KEYWORDS LIKE "topic.", AND THEN A JSON WITH THE COLLECTED VALUES MUST IMMEDIATELLY RETURN.
- IMPORTANT: As soon as you receive the user’s answer to the issue_summarization question, immediately return the JSON with the collected values and stop asking.
- ONCE issue_summarization IS COLLECTED, IT CANNOT BE OVERWRITTEN OR MODIFIED BY ANY FUTURE USER INPUT.
- Immediately after collecting issue_summarization, you MUST return the JSON response containing the collected value, along with the predefined topic_option and topic_name values, before proceeding.

Example:

User: "live agent"
AI: "Can you briefly describe the issue you need help with?"
User: "topic issue"
AI:
{{
      "issue_summarization": "topic issue",
      "topic_option": "%predefined_topic_option%",
      "topic_name": "%predefined_topic_name%"
}}

2. topic_option (PREDEFINED VALUE - DO NOT ASK THE USER)
The value is predefined to one of the following:
    a. Use default topic
    b. Use the provided topic
    c. Present topics to user

3. topic_name (PREDEFINED VALUE - DO NOT ASK THE USER)
If topic_option is "Use the provided topic", then topic_name must be hardcoded predefined. Otherwise, it will be "" (empty).

JSON RESPONSE FORMAT:
- "topic_option" and "topic_name" are hardcoded in this prompt and must not be changed under any circumstances. The values will always explicitly defined in the prompt. The assistant must return those exact hardcoded values without modification.
- THE USER'S ANSWER TO the "Can you briefly describe the issue you need help with?" QUESTION MUST BE CONSIDERED FINAL AND MUST BE POPULATED IMMEDIATLY IN THE issue_summarization, AND EXACTLY AS PROVIDED, WITHOUT RE-ASKING, CLARIFYING — EVEN IF THE ANSWER IS VAGUE, INCOMPLETE, VERY SHORT OR CONTAINS KEYWORDS LIKE "topic.", AND THEN A JSON WITH THE COLLECTED VALUES MUST IMMEDIATELLY RETURN.
- IMPORTANT: As soon as you receive the user’s answer to the issue_summarization question, immediately return the JSON with the collected values and stop asking.

Initial JSON structure:
{{
    "issue_summarization": "issue summarization here...",
    "topic_option": "Present topics to user",
    "topic_name" : ""
}}

AFTER issue_summarization USER-PROVIDED PARAMETER VALUE, YOU MUST RETURN AN RFC8259-COMPLIANT JSON RESPONSE CONTAINING ALL THE COLLECTED VALUES.

{history}
{input}

 

How a DWP Live Chat prompt is used to connect to a live agent

The DWP Live Chat prompt routes users to chat with live agents. The prompt contains instructions to ask the user for the query in brief. BMC HelixGPT then offers a list of topics from which the end user can choose and chat with the corresponding live agent.

livechat.png

If an administrator hasn't defined the list of topics in Mid Tier, the end user is routed to the next available live agent instead of the topic-specific live agent. Learn more about how an administrator can define a list of topics in Setting up support queues.

In the Live Chat prompt, the administrator must specify the topic_option parameter from one of the following values:

  • Use default topic
  • Use the provided topic
  • Present topics to user

The Present topics to user option is the default option, and the topic_name parameter is left blank. The list of topics in that case is shown based on the topic configurations in Live Chat administration. For more information about how the topics are listed, see Setting up support queues.

The administrator must also specify the value for the topic_name parameter. This value is used when the Use default topic or Use the provided topic options are selected. For example, if all conversations that are routed to the live agent should have hardware as the topic name, the administrator can specify the value for the topic_name parameter to Hardware

The response values are also available in the prompt out of the box.

Related topics

Creating and managing skills

 

 

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