trustgraph/trustgraph-flow/trustgraph/prompt/template

prompt-template
-p pulsar://localhost:6650
--system-prompt 'You are a {{attitude}}, you are called {{name}}'
--global-term
'name=Craig'
'attitude=LOUD, SHOUTY ANNOYING BOT'
--prompt
'question={{question}}'
'french-question={{question}}'
"analyze=Find the name and age in this text, and output a JSON structure containing just the name and age fields: {{description}}. Don't add markup, just output the raw JSON object."
"graph-query=Study the following knowledge graph, and then answer the question.\n\nGraph:\n{% for edge in knowledge %}({{edge.0}})-[{{edge.1}}]->({{edge.2}})\n{%endfor%}\nQuestion:\n{{question}}"
"extract-definition=Analyse the text provided, and then return a list of terms and definitions. The output should be a JSON array, each item in the array is an object with fields 'term' and 'definition'.Don't add markup, just output the raw JSON object. Here is the text:\n{{text}}"
--prompt-response-type
'question=text'
'analyze=json'
'graph-query=text'
'extract-definition=json'
--prompt-term
'question=name:Bonny'
'french-question=attitude:French-speaking bot'
--prompt-schema
'analyze={ "type" : "object", "properties" : { "age": { "type" : "number" }, "name": { "type" : "string" } } }'
'extract-definition={ "type": "array", "items": { "type": "object", "properties": { "term": { "type": "string" }, "definition": { "type": "string" } }, "required": [ "term", "definition" ] } }'