# FeedbackConfig

> **Class** in `langsmith`

📖 [View in docs](https://reference.langchain.com/python/langsmith/schemas/FeedbackConfig)

Represents _how_ a feedback value ought to be interpreted.

## Signature

```python
FeedbackConfig()
```

## Extends

- `TypedDict`

## Constructors

```python
__init__(
    type: Literal['continuous', 'categorical', 'freeform'],
    min: Optional[float],
    max: Optional[float],
    categories: Optional[list[FeedbackCategory]],
)
```

| Name | Type |
|------|------|
| `type` | `Literal['continuous', 'categorical', 'freeform']` |
| `min` | `Optional[float]` |
| `max` | `Optional[float]` |
| `categories` | `Optional[list[FeedbackCategory]]` |


## Properties

- `type`
- `min`
- `max`
- `categories`

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[View source on GitHub](https://github.com/langchain-ai/langsmith-sdk/blob/19dc497a3d89638e4cc35db72ea1c29cad35cbbf/python/langsmith/schemas.py#L665)