Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your API keys
4
Run the example
Save the code above as
serper_tools.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Run Google web, Scholar, and page-scrape queries via SerperTools using a SERPER_API_KEY.
from agno.agent import Agent
from agno.tools.serper import SerperTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
tools=[SerperTools()],
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response(
"Search for the latest news about artificial intelligence developments",
markdown=True,
)
# Example 2: Google Scholar Search
# agent.print_response(
# "Find 2 recent academic papers about large language model safety and alignment",
# markdown=True,
# )
# Example 3: Web Scraping
# agent.print_response(
# "Scrape and summarize the main content from this OpenAI blog post: https://openai.com/index/gpt-4/",
# markdown=True
# )
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai requests
Export your API keys
export SERPER_API_KEY="your_serper_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:SERPER_API_KEY="your_serper_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
serper_tools.py, then run:python serper_tools.py
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