mirror of
https://github.com/linshenkx/prompt-optimizer.git
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2cdd095c2b
- fold earlier planning notes into a single current-spec and archived history structure - keep manual acceptance steps and real API samples aligned with the refactored analysis/result/compare model - retain supporting workspace notes needed to review version-selection and evaluation behavior changes
40 lines
1.2 KiB
JSON
40 lines
1.2 KiB
JSON
{
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"type": "result",
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"evaluationModelKey": "dashscope",
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"mode": {
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"functionMode": "pro",
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"subMode": "variable"
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},
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"focus": {
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"content": "关注“不要解释”与变量替换后语气是否仍稳定",
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"source": "user",
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"priority": "highest"
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},
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"target": {
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"workspacePrompt": "你是一位{{风格}}的诗人。请根据以下要求创作一首关于“{{主题}}”的诗歌，不要解释。",
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"referencePrompt": "你是一位{{风格}}的诗人，请写一首{{主题}}的诗"
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},
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"testCase": {
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"id": "a-variable-test-case",
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"label": "变量输入",
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"input": {
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"kind": "variables",
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"label": "变量输入",
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"content": "风格=中文古典\n主题=程序员加班"
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}
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},
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"snapshot": {
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"id": "a",
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"label": "A",
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"testCaseId": "a-variable-test-case",
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"promptRef": {
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"kind": "workspace",
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"label": "工作区"
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},
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"promptText": "你是一位{{风格}}的诗人。请根据以下要求创作一首关于“{{主题}}”的诗歌，不要解释。",
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"output": "《夜半敲键歌》\n\n残灯照案五更寒，十指敲冰未肯阑。\n窗外鸡鸣天欲晓，人间犹有代码山。",
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"modelKey": "dashscope",
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"versionLabel": "工作区"
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}
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}
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