For more granular control over pattern redaction, you can create custom patterns using Portkey’s Regex Match guardrail with redaction capabilities. This allows you to define specific regex patterns for sensitive information unique to your use case.

​
Setting Up Custom Regex Patterns

  1. Navigate to Guardrails: Go to the Guardrails page and click Create
  2. Select Regex Match: Choose the “Regex Replace” guardrail from the BASIC category
  3. Configure the Pattern:
    • Regex Rule: Enter your regex pattern to match specific data (e.g., \b\d{3}-\d{2}-\d{4}\b for SSN patterns)
    • Replacement Text: Define what to replace matches with (e.g., [REDACTED], *****, [SSN_HIDDEN])
  4. Save the Guardrail: Name your guardrail and save it to get the associated Guardrail ID

​
Common Regex Patterns for Sensitive Data

Pattern TypeRegex PatternReplacement Example
Credit Card\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b[CREDIT_CARD]
Social Security Number\b\d{3}-\d{2}-\d{4}\b[SSN_REDACTED]
Phone Numbers\b\d{3}[-.]\d{3}[-.]\d{4}\b[PHONE_HIDDEN]
Email Addresses\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b[EMAIL_REDACTED]
Custom Employee IDsEMP-\d{6}[EMPLOYEE_ID]

​
Adding to Your Config

Once you’ve created your custom regex pattern guardrail, add it to your Portkey config: 
{
  "before_request_hooks": [
    {"id": "your-guardrail-id"}
  ],
  "after_request_hooks": [
    {"id": "your-guardrail-id"}
  ]
}
You can add the same guardrail to both before_request_hooks (input guardrails) and after_request_hooks (output guardrails) to scan and redact regex patterns in both user inputs and LLM responses.

​
Example Implementation

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    config: "pc-***" // Config with custom regex pattern redaction
});

const response = await portkey.chat.completions.create({
    model: "@your-model-slug",
    messages: [
        {
            role: "user",
            content: "My SSN is 123-45-6789 and credit card is 4532-1234-5678-9012"
        }
    ]
});
With the custom regex guardrail configured, the input would be automatically transformed to: 
"My SSN is [SSN_REDACTED] and credit card is [CREDIT_CARD]"