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
35 lines
1.1 KiB
JSON
35 lines
1.1 KiB
JSON
{
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"type": "result",
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"evaluationModelKey": "dashscope",
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"mode": {
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"functionMode": "basic",
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"subMode": "system"
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},
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"target": {
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"workspacePrompt": "你是一个客服助手。请先判断问题类型，再给出建议回复。输出格式固定为：问题类型、风险等级、建议回复。",
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"referencePrompt": "你是一个助手。"
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},
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"testCase": {
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"id": "a-test-case",
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"label": "测试内容",
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"input": {
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"kind": "text",
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"label": "测试内容",
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"content": "用户说：订单超过一周还没发货，我很着急。"
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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-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": "你是一个客服助手。请先判断问题类型，再给出建议回复。输出格式固定为：问题类型、风险等级、建议回复。",
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"output": "问题类型：物流延迟\n风险等级：中\n建议回复：非常抱歉让您久等，我们会立即帮您核查物流状态，并优先跟进处理。",
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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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