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Perplexity launches 'Search as Code' for agents

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Perplexity launches 'Search as Code' for agents
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// 11d agoPRODUCT LAUNCH

Perplexity launches 'Search as Code' for agents

Perplexity has introduced 'Search as Code' (SaC), a programmable search architecture that allows AI agents to write and execute Python code using low-level search primitives. By replacing multi-turn tool calling with sandboxed execution, the new system reduces latency and token consumption for complex retrieval tasks.

// ANALYSIS

Hot Take: Search is no longer a static endpoint; it is a programmable runtime library. By shifting to Search as Code, Perplexity aims to own the developer framework layer for AI agents, transforming search APIs from black-box document retrievers into sandbox-executable SDKs.

  • Sandboxed execution of search primitives enables massive efficiency improvements for complex multi-step reasoning.
  • Condensation of search loops into single-run generated scripts drastically reduces token consumption and network round trips.
  • Elevates agent resilience by letting LLMs dynamically write, test, and debug their own custom data aggregation algorithms.
// TAGS
perplexityagentsearch-as-codecode-generationdevtoolagentic-workflowsai-coding

DISCOVERED

11d ago

2026-06-01

PUBLISHED

11d ago

2026-06-01

RELEVANCE

9/ 10

AUTHOR

AravSrinivas