> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Retries

> Configure retries, delay_between_retries, and exponential_backoff on an Agent.

Example demonstrating how to set up retries with an Agent.

```python retries.py theme={null}
"""
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,
    )
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno ddgs openai
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `retries.py`, then run:

```bash theme={null}
python retries.py
```

Full source: [cookbook/02\_agents/14\_advanced/retries.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/14_advanced/retries.py)


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