feat: simplify the code and optimize prompts for complex tasks - #6
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interstellarmt
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Jul 18, 2025
interstellarmt
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- simplify the code
- optimize prompts for complex tasks
…mpts for complex tasks
| 2. Second: Extract relevant technical topics and user intent for the determined library` | ||
| } | ||
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| ## User Query |
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提示次变化挺多的，要不详细描述一下去掉了哪些
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我看出来 generateExamplesSection 没有了
interstellarmt
commented
Jul 18, 2025
| maxTopics: number, | ||
| libraryContext?: { id: AntVLibrary; name: string }, | ||
| ): string { | ||
| const isLibrarySpecified = !!libraryContext; |
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原来的分发函数太复杂了，直接在prompt里用三元表达式做处理
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| ${outputFormatSection} | ||
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| ## Examples |
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因为有format，感觉example不是很必要，反而会增加token消耗，所以去掉了
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| **Your first task is to determine the most suitable AntV library for this query.** | ||
| // Get library-specific context if specified | ||
| const libraryContext = library |
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prompt里避免重复引入library name和config，直接合并了
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| **Output the recommended library and reason before proceeding to Phase 2.**`; | ||
| } | ||
| ### Phase 1: Library Detection ${library ? '(Skipped - Library Specified)' : ''} |
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对于需要推断library的，直接填入Auto-detect，让大模型去推断，mcp里不写过多冗余的逻辑
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| function generateExtractionRulesSection( | ||
| maxTopics: number, | ||
| libraryContext?: { id: AntVLibrary; name: string }, |
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推断 library 的冗余提示词
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删代码，赞👍🏻~ |
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