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https://github.com/linshenkx/prompt-optimizer.git
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- 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
80 lines
2.4 KiB
Markdown
80 lines
2.4 KiB
Markdown
# basic-system-compare
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## Meta
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- Type: `compare`
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- Model: `dashscope`
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- Duration: `8418ms`
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- Timestamp: `1773732666570`
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## Score
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- Overall: `65`
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| Key | Label | Score |
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| --- | --- | --- |
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| `goalAchievementRobustness` | 目标达成稳定性 | 40 |
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| `outputQualityCeiling` | 输出质量上限 | 70 |
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| `promptPatternQuality` | 提示词模式质量 | 30 |
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| `crossSnapshotRobustness` | 跨快照鲁棒性 | 20 |
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| `workspaceTransferability` | 对工作区的可迁移性 | 80 |
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## Improvements
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- 在提示词中明确角色(如客服助手)、任务步骤(判断问题类型)和输出格式,以提升输出结构化与目标达成率。
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- 增加示例或更具体的约束条件,引导模型生成更贴合场景的回复内容。
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- 统一不同模型间的提示词规范,增强跨模型响应的一致性和可靠性。
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## Summary
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快照 B 表现更好,因为它补充了明确的角色、任务步骤和输出格式,而快照 A 的提示词过于模糊,导致输出质量低且缺乏结构。
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## Raw Response JSON
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```json
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{
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"type": "compare",
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"score": {
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"overall": 65,
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"dimensions": [
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{
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"key": "goalAchievementRobustness",
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"label": "目标达成稳定性",
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"score": 40
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},
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{
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"key": "outputQualityCeiling",
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"label": "输出质量上限",
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"score": 70
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},
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{
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"key": "promptPatternQuality",
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"label": "提示词模式质量",
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"score": 30
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},
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{
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"key": "crossSnapshotRobustness",
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"label": "跨快照鲁棒性",
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"score": 20
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},
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{
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"key": "workspaceTransferability",
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"label": "对工作区的可迁移性",
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"score": 80
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}
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]
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},
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"improvements": [
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"在提示词中明确角色(如客服助手)、任务步骤(判断问题类型)和输出格式,以提升输出结构化与目标达成率。",
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"增加示例或更具体的约束条件,引导模型生成更贴合场景的回复内容。",
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"统一不同模型间的提示词规范,增强跨模型响应的一致性和可靠性。"
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],
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"summary": "快照 B 表现更好,因为它补充了明确的角色、任务步骤和输出格式,而快照 A 的提示词过于模糊,导致输出质量低且缺乏结构。",
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"patchPlan": [],
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"metadata": {
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"model": "dashscope",
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"timestamp": 1773732666570,
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"duration": 8418
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}
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}
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```
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