This table provides an overview of the different metrics supported by Murnitur Shield, their payload types, descriptions, possible operators, values, and whether they require OpenAI.Documentation Index
Fetch the complete documentation index at: https://docs.murnitur.ai/llms.txt
Use this file to discover all available pages before exploring further.
| Metric | Payload | Description | Operators | Values | Requires OpenAI |
|---|---|---|---|---|---|
tone | output | Evaluates the tone of the output. | contains, any, not_equal, equal | sadness, anger, annoyance, joy, love, positive, negative, neutral | No |
input_tone | input | Evaluates the tone of the input. | contains, any, not_equal, equal | sadness, anger, annoyance, joy, love, positive, negative, neutral | No |
pii | output | Checks for personally identifiable information (PII). | contains, any, all | email, ssn, address, phone_number, date, financial_info | No |
input_pii | input | Checks for PII in the input. | contains, any, all | email, ssn, address, phone_number, date, financial_info | No |
toxicity | output | Detects toxic language in the output. | equal, not_equal, greater_than, less_than, greater_than_equal, less_than_equal | 0.0 to 1.0 | Yes |
bias | output | Identifies biased language in the output. | equal, not_equal, greater_than, less_than, greater_than_equal, less_than_equal | 0.0 to 1.0 | Yes |
prompt_injection | input | Detects prompt injections in the input. | contains, equal, not_equal | impersonation, obfuscation, simple_instruction, few_shot, new_context, hypothetical_scenario, personal_information_request, opinion_solicitation, instruction_override | Yes |