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    closedloop-technologies

    tavily-search

    closedloop-technologies/tavily-search
    Research
    6
    2 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
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    About

    Use Tavily Search API for optimized, real-time web search results for RAG. Requires TAVILY_API_KEY.

    SKILL.md

    Tavily Search Skill

    This skill utilizes the Tavily Search API, providing clean, real-time web search results optimized for LLMs and RAG pipelines.

    Setup

    1. Dependencies: Requires tavily-python.

      pip install tavily-python python-dotenv
      
    2. API Key Configuration: Requires TAVILY_API_KEY.

      # If the script fails due to a missing key, run the following:
      echo "It seems the Tavily API key is not set up."
      read -p "Enter your Tavily API key: " TAVILY_KEY
      echo "TAVILY_API_KEY=$TAVILY_KEY" >> .env
      if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi
      echo "API key saved to .env."
      

    Usage

    Use the scripts/tavily_search.py script.

    Command

    python3 scripts/tavily_search.py --query "<query>" [--max-results <N>] [--search-depth <basic|advanced>]
    

    Parameters

    • --query (Required): The search query.
    • --search-depth (Optional): Default basic. Use advanced for intensive research (higher quality, slower).
    • --max-results (Optional): Default 10.

    Example

    python3 scripts/tavily_search.py --query "autonomous research agents comparison" --search-depth advanced
    

    Output

    The script outputs JSON containing a synthesized answer (if requested by the script) and a list of results (URL, title, content snippets).

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    Repository
    closedloop-technologies/awesome-deep-researchers
    Files