Introducing stateful web research agents with multi-turn conversations

The introduction of stateful web research conversations through Task API interaction IDs allows for enhanced multi-turn, iterative research by maintaining full context and history across sequential tasks, transforming the Task API from a series of independent queries into a stateful sub-agent capable of handling complex research workflows. This advancement enables agents to perform more sophisticated reasoning and deeper investigations without manually inputting prior context, improving efficiency and capability. By retaining contextual information from previous tasks, the Task API supports ongoing, conversational interactions, allowing for refined, targeted results. This feature benefits scenarios like competitive intelligence workflows by enabling seamless follow-up queries that build on prior research, exemplified by an initial exploration of autonomous vehicle companies followed by a detailed comparison of top competitors. The system is designed to work within broader agentic systems, allowing for orchestration agents to delegate entire research threads and handle feedback loops, while integrating with the Parallel developer platform to provide a robust tool for developers to create stateful web research agents.

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