websearch_builtin_tool.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
websearch_builtin_tool.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Combine the built-in web_search_preview tool with FileTools to search and save results to disk.
"""
Openai Websearch Builtin Tool
=============================
Cookbook example for `openai/responses/websearch_builtin_tool.py`.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.file import FileTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIResponses(id="gpt-4o"),
tools=[{"type": "web_search_preview"}, FileTools()],
instructions="Save the results to a file with a relevant name.",
markdown=True,
)
agent.print_response("Whats happening in France?")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
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
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
websearch_builtin_tool.py, then run:python websearch_builtin_tool.py
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