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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.
Code
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
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U agno openai ddgs rich
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
Create a Python file
Create a Python file and add the above code. 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