Presidio PII Detection

Detects personally identifiable information in text, including phone numbers, email addresses, and social security numbers. It allows customization of the detection threshold and the specific types of PII to check.

POST /presidio/pii_detection/evaluate

Try it

Python

Offline Evaluation

import langwatch

df = langwatch.dataset.get_dataset("dataset-id").to_pandas()

evaluation = langwatch.evaluation.init("my-incredible-evaluation")

for index, row in evaluation.loop(df.iterrows()):
    # your execution code here       
    evaluation.run(
        "presidio/pii_detection",
        index=index,
        data={
            "input": row["input"],
            "output": output,
        },
        settings={}
    )

200

[
  {
    "status": "processed",
    "score": 123,
    "passed": true,
    "label": "<string>",
    "details": "<string>",
    "cost": {
      "currency": "<string>",
      "amount": 123
    },
    "raw_response": {},
    "error_type": "<string>",
    "traceback": [
      "<string>"
    ]
  }
]

Authorizations

X-Auth-Token · string · header · required

Body

application/json

data · object · required

Show child attributes

data. input · string

The input text to evaluate

data. output · string

The output text to evaluate

settings · object

Evaluator settings

Show child attributes

settings. entities · object

The types of PII to check for in the input.

settings. default · any

default setting

settings. min_threshold · number · default: 0.5

The minimum confidence required for failing the evaluation on a PII match.

Response

200

application/json

Successful evaluation

status · enum<string> · required

Available options: processed, skipped, error

score · number

Evaluation score

passed · boolean

Whether the evaluation passed

label · string

Evaluation label

details · string

Additional details about the evaluation

cost · object

Show child attributes

cost. currency · string · required

cost. amount · number · required

raw_response · object

Raw response from the evaluator

error_type · string

Type of error if status is 'error'

traceback · string[]

Error traceback if status is 'error'