# Validate.from_prompt()

Build a validation plan for this table from a natural-language prompt.

Usage

[Source](https://github.com/posit-dev/pointblank/blob/main/pointblank/validate.py#L20816-L20895)

``` python
Validate.from_prompt(
    prompt,
    model,
    api_key=None,
    verify_ssl=True,
    max_reprompts=1,
)
```

This is the same AI edit flow as [`EditValidation`](../reference/EditValidation.md#pointblank.EditValidation) but starting from an *empty* plan: the model is given a bare `pb.Validate(...)` (carrying this object's table name, label, and thresholds) plus a [DataScan](../reference/DataScan.md#pointblank.DataScan) profile of the data, and is asked to author steps that satisfy the prompt.

## Parameters

`prompt: str`  
A plain-English description of the checks the plan should perform (e.g., "ensure no nulls in any id column and that ids are unique").

`model: str`  
The model to use, in `provider:model` form (e.g., `"anthropic:claude-opus-4-8"`).

`api_key: str | None = None`  
The API key for the model provider.

`verify_ssl: bool = True`  
Whether to verify SSL certificates for provider requests. Defaults to `True`.

`max_reprompts: int = 1`  
Maximum automatic re-prompts if the returned plan fails the syntax check.

## Returns

`EditValidation`  
An [`EditValidation`](../reference/EditValidation.md#pointblank.EditValidation) whose revised plan realizes the prompt; inspect it with `.diff()`/`.to_code()` and finalize with `.accept()`.

## Examples

``` python
import pointblank as pb

base = pb.Validate(data=pb.load_dataset("small_table"), tbl_name="small_table")
proposal = base.from_prompt(
    "ensure column a has no nulls and column d is always positive",
    model="anthropic:claude-opus-4-8",
)
plan = proposal.accept()
```

This example isn't executed here because it needs an API key and a call to the model provider. The `base` object contributes its table name (and any label and thresholds) but no steps. The model writes steps that satisfy the prompt, so here you'd expect a not-null check on `a` and a greater-than-zero check on `d`. Before accepting, you can review the generated plan with `proposal.to_code()`. Then [accept()](../reference/EditValidation.md#pointblank.EditValidation.accept) returns it as a [Validate](../reference/Validate.md#pointblank.Validate) object that hasn't been interrogated yet. Call [`interrogate()`](../reference/Validate.interrogate.md#pointblank.Validate.interrogate) on it to run the checks. To extend a plan that already has steps, use [`suggest_improvements()`](../reference/Validate.suggest_improvements.md#pointblank.Validate.suggest_improvements) or [`EditValidation`](../reference/EditValidation.md#pointblank.EditValidation) instead.