# list_feedback_configs

> **Method** in `langsmith`

📖 [View in docs](https://reference.langchain.com/python/langsmith/client/Client/list_feedback_configs)

List feedback configurations.

## Signature

```python
list_feedback_configs(
    self,
    *,
    feedback_key: Optional[Sequence[str]] = None,
    name_contains: Optional[str] = None,
    limit: Optional[int] = None,
    offset: int = 0,
) -> Iterator[ls_schemas.FeedbackConfigSchema]
```

## Description

**Example:**

.. code-block:: python

from langsmith import Client

client = Client()
for config in client.list_feedback_configs():
    print(f"{config.feedback_key}: {config.feedback_config}")

## Parameters

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `feedback_key` | `Optional[Sequence[str]]` | No |  Filter by specific feedback keys. (default: `None`) |
| `name_contains` | `Optional[str]` | No |  Filter by substring match on the feedback key. (default: `None`) |
| `limit` | `Optional[int]` | No |  The maximum number of configurations to return. (default: `None`) |
| `offset` | `int` | No |  The number of configurations to skip. Defaults to 0. (default: `0`) |

---

[View source on GitHub](https://github.com/langchain-ai/langsmith-sdk/blob/ce9e9e8973442b33e98ec3ce1b9c2dd3f58a43a7/python/langsmith/client.py#L8088)