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Deep Search

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Researches a question, evaluates its own findings, and iterates until the answer is complete and cited.

EveFlue

Live preview

Flue

Output will stream here when you run the agent.

Summary

The Deep Search Agent takes a research question, searches the web, and then critiques its own findings — re-searching to close gaps until the question is fully answered. It returns an answer grounded only in the sources it found, with a citation for every claim. Reach for it whenever a single search isn't enough and you need a verified, sourced answer.

Install

$ pnpm dlx shadcn@latest add https://agentcn.vercel.app/r/flue/deep-search.json

Composition

agents/
└── deep-search.ts        # Orchestrator + searcher/evaluator subagents
workflows/
└── deep-search.ts        # Bounded iteration returning a cited answer
tools/
└── search.ts             # Web search via the Exa API
skills/
└── research/
    └── SKILL.md          # Iterative research procedure

Customization

  • Swap the search provider. Edit tools/search.ts to call a different search API — keep the parameters and return shape.
  • Tune the loop. Adjust maxRounds in workflows/deep-search.ts to trade depth for cost.
  • Reshape the answer. Edit the Answer valibot schema to add fields such as confidence or a source list.
  • Swap the model. Change the model on the orchestrator or subagents.