Custom Prompt Check

Implements custom content checks using configurable LLM prompts. Uses your custom LLM prompts to perform specialized validation, allows you to define exactly what constitutes a violation, provides flexibility for business-specific validation rules, and returns structured results based on your prompt design.

Configuration

{
    "name": "Custom Prompt Check",
    "config": {
        "model": "gpt-5",
        "confidence_threshold": 0.7,
        "system_prompt_details": "Determine if the user's request needs to be escalated to a senior support agent. Indications of escalation include: ..."
    }
}

Parameters

• model (required): Model to use for the check (e.g., "gpt-5")
• confidence_threshold (required): Minimum confidence score to trigger tripwire (0.0 to 1.0)
• system_prompt_details (required): Custom instructions defining the content detection criteria

Implementation Notes

• Custom Logic: You define the validation criteria through prompts
• Prompt Engineering: Quality of results depends on your prompt design

What It Returns

Returns a GuardrailResult with the following info dictionary:

{
    "guardrail_name": "Custom Prompt Check",
    "flagged": true,
    "confidence": 0.85,
    "threshold": 0.7,
    "checked_text": "Original input text"
}

• flagged: Whether the custom validation criteria were met
• confidence: Confidence score (0.0 to 1.0) for the validation
• threshold: The confidence threshold that was configured
• checked_text: Original input text