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The research agent template is for agents that gather information, synthesize findings, and return a structured answer or report.

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Use Case

Use this template for:
  • market research,
  • competitor summaries,
  • topic briefs,
  • literature-style summaries,
  • internal knowledge gathering.

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Typical Inputs

A research agent usually accepts:
  • topic or question,
  • desired depth,
  • audience,
  • optional source constraints,
  • output format.

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Runtime Notes

Research agents often call external search, scraping, or browser tools. Declare required tool keys in runtime.adapter.environment_variables and avoid hardcoding credentials. Example: 
runtime:
  adapter:
    environment_variables:
      - TAVILY_API_KEY
      - FIRECRAWL_API_KEY

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Development Flow

charm init my-research-agent --template research
cd my-research-agent
charm validate .
charm run . --json '{"topic": "AI agent marketplaces"}'

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Publishing Checklist

  • Input schema is clear for non-technical users.
  • Output format is predictable.
  • Tool keys are declared in the manifest.
  • The agent handles missing or low-quality search results.