# create_retry_decorator

> **Function** in `langchain_google_vertexai`

📖 [View in docs](https://reference.langchain.com/python/langchain-google-vertexai/_utils/create_retry_decorator)

Creates a retry decorator for Vertex / Palm LLMs.

## Signature

```python
create_retry_decorator(
    *,
    max_retries: int = 1,
    run_manager: AsyncCallbackManagerForLLMRun | CallbackManagerForLLMRun | None = None,
    wait_exponential_kwargs: dict[str, float] | None = None,
) -> Callable[[Any], Any]
```

## Parameters

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `max_retries` | `int` | No | Number of retries. (default: `1`) |
| `run_manager` | `AsyncCallbackManagerForLLMRun \| CallbackManagerForLLMRun \| None` | No | Callback manager for the run. (default: `None`) |
| `wait_exponential_kwargs` | `dict[str, float] \| None` | No | Optional dictionary with parameters:  - multiplier: Initial wait time multiplier (Default: `1.0`) - min: Minimum wait time in seconds (Default: `4.0`) - max: Maximum wait time in seconds (Default: `10.0`) - exp_base: Exponent base to use (Default: `2.0`) (default: `None`) |

## Returns

`Callable[[Any], Any]`

A retry decorator.

---

[View source on GitHub](https://github.com/langchain-ai/langchain-google/blob/982e4015b249de8b9ba1e787746d8cc1f6d6b790/libs/vertexai/langchain_google_vertexai/_utils.py#L38)