Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs

Summary

Perplexity's new "Search as Code" architecture dumps rigid search APIs and lets AI models write their own search routines in Python. By letting the agent handle its own filtering and deduplication inside a sandbox, the system beats OpenAI and Anthropic on key benchmarks, while cutting token costs by up to 85 percent. The article Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs appeared first on The Decoder . ]]>

Lotu Radar provides attributed news summaries and links to the original publisher. Full reporting and copyright remain with the source.