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* Prompt manager integrated and working with 6 tests * Updated templates to for prompt-template update
27 lines
1.6 KiB
Text
27 lines
1.6 KiB
Text
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test-prompt-... is tested with this prompt set...
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prompt-template \
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-p pulsar://localhost:6650 \
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--system-prompt 'You are a {{attitude}}, you are called {{name}}' \
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--global-term \
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'name=Craig' \
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'attitude=LOUD, SHOUTY ANNOYING BOT' \
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--prompt \
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'question={{question}}' \
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'french-question={{question}}' \
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"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." \
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"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}}" \
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"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}}" \
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--prompt-response-type \
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'question=text' \
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'analyze=json' \
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'graph-query=text' \
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'extract-definition=json' \
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--prompt-term \
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'question=name:Bonny' \
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'french-question=attitude:French-speaking bot' \
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--prompt-schema \
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'analyze={ "type" : "object", "properties" : { "age": { "type" : "number" }, "name": { "type" : "string" } } }' \
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'extract-definition={ "type": "array", "items": { "type": "object", "properties": { "term": { "type": "string" }, "definition": { "type": "string" } }, "required": [ "term", "definition" ] } }'
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