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This example demonstrates how to run multiple async agents with delayed execution, gathering results from different AI providers to write comprehensive reports.

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Code

delay.py
import asyncio

from agno.agent import Agent, RunOutput
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from rich.pretty import pprint

providers = ["openai", "anthropic", "ollama", "cohere", "google"]
instructions = [
    "Your task is to write a well researched report on AI providers.",
    "The report should be unbiased and factual.",
]


async def get_agent(delay, provider):
    agent = Agent(
        model=OpenAIChat(id="gpt-4"),
        instructions=instructions,
        tools=[DuckDuckGoTools()],
    )
    await asyncio.sleep(delay)
    response: RunOutput = await agent.arun(
        f"Write a report on the following AI provider: {provider}"
    )
    return response


async def get_reports():
    tasks = []
    for delay, provider in enumerate(providers):
        delay = delay * 2
        tasks.append(get_agent(delay, provider))

    results = await asyncio.gather(*tasks)
    return results


async def main():
    results = await get_reports()
    for result in results:
        print("************")
        pprint(result.content)
        print("************")
        print("\n")


if __name__ == "__main__":
    asyncio.run(main())

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai ddgs rich
3

Export your OpenAI API key

    export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch delay.py
5

Run Agent

python delay.py
6

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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