duckdb_tools.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
duckdb_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.
Query a remote IMDB movie CSV with SQL using DuckDbTools to compute average ratings.
"""
Duckdb Tools
=============================
Demonstrates duckdb tools.
"""
from agno.agent import Agent
from agno.tools.duckdb import DuckDbTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
tools=[DuckDbTools()],
instructions="Use this file for Movies data: https://agno-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response(
"What is the average rating of movies?", markdown=True, stream=False
)
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 duckdb 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
duckdb_tools.py, then run:python duckdb_tools.py
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