Code
cookbook/agent_concepts/async/data_analyst.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Install libraries
3
Run Agent
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import asyncio
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckdb import DuckDbTools
duckdb_tools = DuckDbTools(
create_tables=False, export_tables=False, summarize_tables=False
)
duckdb_tools.create_table_from_path(
path="https://agno-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
table="movies",
)
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[duckdb_tools],
markdown=True,
show_tool_calls=True,
additional_context=dedent("""\
You have access to the following tables:
- movies: contains information about movies from IMDB.
"""),
)
asyncio.run(
agent.aprint_response("What is the average rating of movies?", stream=False)
)
Create a virtual environment
Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
python3 -m venv .venv
.venv/scripts/activate
Install libraries
pip install -U openai agno duckdb
Run Agent
python cookbook/agent_concepts/async/data_analyst.py
python cookbook/agent_concepts/async/data_analyst.py
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