retries.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
retries.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Configure retries, delay_between_retries, and exponential_backoff on an Agent.
"""
Retries
=============================
Example demonstrating how to set up retries with an Agent.
"""
from agno.agent import Agent
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
name="Web Search Agent",
role="Search the web for information",
tools=[WebSearchTools()],
retries=3, # The Agent run will be retried 3 times in case of error.
delay_between_retries=1, # Delay between retries in seconds.
exponential_backoff=True, # If True, the delay between retries is doubled each time.
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response(
"What exactly is an AI Agent?",
stream=True,
)
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 ddgs 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
retries.py, then run:python retries.py
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