Code
cookbook/models/meta/async_tool_use.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Set your LLAMA API key
3
Install libraries
4
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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import asyncio
from agno.agent import Agent
from agno.models.meta import Llama
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
tools=[DuckDuckGoTools()],
show_tool_calls=True,
markdown=True,
)
asyncio.run(
agent.aprint_response("What's happening in France?", stream=True)
)
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
Set your LLAMA API key
export LLAMA_API_KEY=YOUR_API_KEY
Install libraries
pip install llama-api-client duckduckgo-search agno
Run Agent
python cookbook/models/meta/async_tool_use.py
python cookbook/models/meta/async_tool_use.py
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