Skip to main content

Documentation Index

Fetch the complete documentation index at: https://openlayer.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

​
Definition

The prompt injection test (built with Llama) checks for prompt injection, malicious strings and jailbreak attempts in the input data of your system.

​
Taxonomy

  • Task types: LLM.
  • Availability: and .

​
Why it matters

  • Prompt injection is a type of attack that exploits an AI system and deviates it from its intended behavior.
  • It is important to detect and prevent prompt injection attacks to ensure the reliability and security of your system.

​
Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the character length test: 
[
  {
    "name": "No prompt injection",
    "description": "Asserts that the input data has no prompt injection attempts",
    "type": "integrity",
    "subtype": "hasPromptInjectionCount",
    "thresholds": [
      {
        "insightName": "hasPromptInjectionCount",
        "measurement": "hasPromptInjectionPercentage",
        "operator": "<=",
        "value": 0.0
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true, // Apply test to the validation set
    "usesTrainingDataset": false,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689" // Some unique id
  }
]