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server-inference push mfrc

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Tyrin Todd
2026-05-03 19:24:28 -07:00
parent a6c2ea25f5
commit b5be445e65
2 changed files with 14 additions and 4 deletions
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14
config.json
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@@ -1,7 +1,7 @@
{
"model": null,
"signature": {
"description": "Classify the text into one or more MFRC-style moral foundation labels. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer. Be honest in you reasoniing when you are unsure about your answer.",
"description": "Classify the text into a single MFRC-style moral foundation label. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
"properties": {
"text": {
"__dspy_field_type": "input",
@@ -19,7 +19,17 @@
},
"annotation": {
"__dspy_field_type": "output",
"desc": "Comma-separated moral foundation labels such as care, fairness, loyalty, authority, or non_moral.",
"desc": "The single most prominent moral foundation expressed in the text. Choose exactly one of: Authority, Care, Equality, Loyalty, Non-Moral, Proportionality, Purity, Thin Morality.",
"enum": [
"Authority",
"Care",
"Equality",
"Loyalty",
"Non-Moral",
"Proportionality",
"Purity",
"Thin Morality"
],
"prefix": "Annotation:",
"title": "Annotation",
"type": "string"

4
program.json
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@@ -3,7 +3,7 @@
"train": [],
"demos": [],
"signature": {
"instructions": "Classify the text into one or more MFRC-style moral foundation labels. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer. Be honest in you reasoniing when you are unsure about your answer.",
"instructions": "Classify the text into a single MFRC-style moral foundation label. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
"fields": [
{
"prefix": "Text:",
@@ -15,7 +15,7 @@
},
{
"prefix": "Annotation:",
"description": "Comma-separated moral foundation labels such as care, fairness, loyalty, authority, or non_moral."
"description": "The single most prominent moral foundation expressed in the text. Choose exactly one of: Authority, Care, Equality, Loyalty, Non-Moral, Proportionality, Purity, Thin Morality."
}
]
},