List feedback configurations.
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]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}")
| Name | Type | Description |
|---|---|---|
feedback_key | Optional[Sequence[str]] | Default: NoneFilter by specific feedback keys. |
name_contains | Optional[str] | Default: NoneFilter by substring match on the feedback key. |
limit | Optional[int] | Default: NoneThe maximum number of configurations to return. |
offset | int | Default: 0The number of configurations to skip. Defaults to 0. |