Perplexity AI 推出了“Search as Code”，这是一种专为 AI 代理设计的新型搜索架构。该新系统通过允许模型直接组合搜索原语，实现了异步查询执行、去重和结果排序，从而绕过了传统的高延迟工具调用方法。Perplexity 声称 Search as Code 在包括其自身的 WANDR 基准在内的各种深度和广度研究基准上，性能优于现有系统，同时还提供了卓越的成本效益比。 AI
影响 这种新架构通过降低延迟和增强搜索能力，有可能显著提高 AI 代理在研究任务中的效率和性能。
排序理由 推出具有基准性能声明的新型 AI 架构的产品。
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More info about Search as Code in the Perplexity Agent API docs: https://t.co/iaXcFSmiWh
WANDR is our in-house wide benchmark, built to mirror real professional research workloads. Search as Code scores 0.386 to the next best system's 0.152, and the benchmark is far from saturated. We're releasing WANDR in the coming weeks. https://t.co/AkxqOdisaA
It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper. https://t.co/zG0LuKrWoX
We tested Search as Code on deep research (DSQA, BrowseComp, HLE) and wide research benchmarks (WideSearch, WANDR). It matches or beats every competing system across all five. https://t.co/tdZhmn6HhD
@PPLXDevs The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its…
Introducing Search as Code, our new search architecture for AI agents. It writes Python that calls our search stack directly, instead of looping through function calls one at a time. Available in the Perplexity Agent API, and now default in Computer. https://t.co/ut6GGWQTVO ht…