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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Enable Agno agents with Newspaper4kTools and turn them into precision digital librarians that extract clean, ad-free text from news articles and blogs for high-quality analysis. 

from agno.agent import Agent
from agno.tools.newspaper4k import Newspaper4kTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


agent = Agent(tools=[Newspaper4kTools(enable_read_article=True)])

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Please summarize https://www.rockymountaineer.com/blog/experience-icefields-parkway-scenic-drive-lifetime"
    )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python newspaper4k_tools.py
For details, see Newspaper4K cookbook.