{"version":"1.0","generated_at":"2026-09-28T11:43:21.819841","id":1161,"slug":"perplexity-s-search-as-code-lets-ai-models-write-their-own-search-pipelines-instead-of-calling-fixed-apis","title":"趋势解读：Perplexity's \"Search as Code\" lets AI models write，评估 LLM Agent 表现","summary":"Perplexity推出\"Search as Code\"新架构，让AI模型编写Python脚本来执行搜索，而非调用固定API，在复杂研究任务中可降低85%的token使用量，并显著提升准确率。","abstract":"趋势解读：Perplexity's \"Search as Code\" lets AI models write，评估 LLM Agent 表现 Perplexity推出\"Search as Code\"新架构，让AI模型编写Python脚本来执行搜索，而非调用固定API，在复杂研究任务中可降低85%的token使用量，并显著提升准确率。 Perplexity推出Search as Code架构，模型自写搜索脚本 相比传统API，SaC降低85% token消耗 在CVE追踪任务中准确率远超竞品 代表推理+确定性代码结合的趋势 沙箱运行代码，平衡灵活性与安全性 在Perplexity的新\"Search as Code\"架构中，模型不调用现成的搜索API，而是编写自己的搜索工作流程作为Python代码。该公司承诺更精确的结果和更低的token使用量。 任何看过AI智能体处理复杂研究任务的人都会看到同样的模式。模型编写一个查询，搜索API返回结果列表，模型读取它们，然后编写下一个查询。这个循环重复，往往连续多次。 Perplexity在一份新技术报告中称此为瓶颈。今天的搜索引擎是为想要整齐蓝色链接列表的人类构建的，但对于试图在几分钟内运行数百次搜索的AI智能体来说，这种设置过于僵化。智能体只能调整搜索词；其他一切都是黑箱。 \"Search as Code\"（SaC）改变了这一动态。不是调用API，而是模型编写一个自定义Python脚本来运行搜索。该脚本在安全沙箱中运行，从Perplexity的搜索后端拉取数据。检索、过滤、去重和重排序等基本操作被封装为简单的SDK函数。 该架构分为三…","access_level":"member","access_label":"免费阅读","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/1161/perplexity-s-search-as-code-lets-ai-models-write-their-own-search-pipelines-instead-of-calling-fixed-apis","html_url":"https://opc.beizhux.com/content/1161/perplexity-s-search-as-code-lets-ai-models-write-their-own-search-pipelines-instead-of-calling-fixed-apis","json_url":"https://opc.beizhux.com/content/1161/perplexity-s-search-as-code-lets-ai-models-write-their-own-search-pipelines-instead-of-calling-fixed-apis.json","published_at":"2026-06-07T18:28:33","updated_at":"2026-09-28T10:59:47","category":{"slug":"ai-skills","name":"AI技能杠杆"},"source":{"site":"the-decoder.com","author":"Jonathan 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