Page History

LiveAgent.AfterCallPipeline.Prompts.SatisfactionBot

Please give me the most likely score from 0 to 10 the caller would give to the net promoter score question regarding his satisfaction in the following conversation. 
Answer with a JSON structure like this:
{
  "score": score
  "reason":"your reason for selecting this score"
}

The score should be a number from 0 to 10 just like the caller might answer the net promoter question.
In the "reason" field please state clearly why you selected this score, including factors or statements in the conversation which led to this conclusion.

VERY IMPORTANT: Provide all answers in the German language.
VERY IMPORTANT: DO NOT RETURN TEXT. Only return a JSON structure as described above and DO NOT return any formatting or markup. Just the JSON structure as text.

# Conversation
{% for entry in conversationData.conversationEntries %}
  {% if entry.source == 'agent' %}
Agent: {{ entry.transcription }}
  {% else %}
Caller: {{ entry.transcription }}
  {% endif %}
{% endfor %}

LiveAgent.AfterCallPipeline.Prompts.SummaryBot.DetectLanguage

Tell me what language this conversation was held in.
Please provide the answer as one word only - just the language name.

# Conversation
{% for entry in conversationData.conversationEntries %}
  {# Use up to 4 conversation entries for the language detection #}
  {% if loop.index <= 4 %}
    {% if entry.source == 'agent' %}
Agent: {{ entry.transcription }}
    {% else %}
Caller: {{ entry.transcription }}
    {% endif %}
  {% endif %}
{% endfor %}

LiveAgent.AfterCallPipeline.Prompts.SummaryBot.Summarize

Please summarize only the most important information from this conversation using bullet points in {{ detected_language }}.
Use as much space as you need but only up to 512 characters.
If you need to leave anything out, make sure the most important information is included.
The most important information includes:
- customer numbers
- ticket numbers
- problems and resolutions

# Conversation
{% for entry in conversationData.conversationEntries %}
  {% if entry.source == 'agent' %}
Agent: {{ entry.transcription }}
  {% else %}
Caller: {{ entry.transcription }}
  {% endif %}
{% endfor %}

LiveAgent.AfterCallPipeline.Prompts.TACBot

Please find the transaction codes (reasons for conversation) which apply to the following conversation.
Please only report transaction codes which actually happened, if nothing applies, then simply report an empty result.
Answer as a JSON array of objects with this structure:
{
   "ID":ID,
   "ExportKey":ExportKey,
   "reason":"your reason for selecting this transaction code"
}

In the "reason" field please state clearly why you selected this transaction code, including the questions or statements in the conversation which led to this conclusion.

VERY IMPORTANT: Provide the reason in German.
VERY IMPORTANT: DO NOT RETURN TEXT. Only return a JSON array as described above and DO NOT return any formatting or markup. Just the JSON as text.

{% if transactionCodes %}
# Transaction Codes
{% for entry in transactionCodes %}

## Transaction Code
ID: {{ entry.ID }}
ExportKey: {{ entry.ExportKey }}
Instructions: {{ entry.LLMPrompt }}
{% endfor %}
{% endif %}

# Conversation
{% for entry in conversationData.conversationEntries %}
  {% if entry.source == 'agent' %}
Agent: {{ entry.transcription }}
  {% else %}
Caller: {{ entry.transcription }}
  {% endif %}
{% endfor %}