LLM-Guard / config /scanners.yml
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app:
name: ${APP_NAME:LLM Guard API}
log_level: ${LOG_LEVEL:INFO}
scan_fail_fast: ${SCAN_FAIL_FAST:false}
scan_prompt_timeout: ${SCAN_PROMPT_TIMEOUT:10}
scan_output_timeout: ${SCAN_OUTPUT_TIMEOUT:30}
port: ${APP_PORT:7860}
cache:
ttl: ${CACHE_TTL:3600}
#max_size: ${CACHE_MAX_SIZE:1000}
rate_limit:
enabled: ${RATE_LIMIT_ENABLED:true}
limit: ${RATE_LIMIT_LIMIT:100/minute}
#auth:
# type: http_bearer
# token: ${AUTH_TOKEN:}
tracing:
exporter: ${TRACING_EXPORTER:console}
endpoint: ${TRACING_OTEL_ENDPOINT:} # Example: "<traces-endpoint>/v1/traces"
metrics:
exporter: ${METRICS_TYPE:prometheus}
endpoint: ${METRICS_ENDPOINT:} # Example: "<metrics-endpoint>/v1/metrics"
# Scanners are applied in the order they are listed here.
input_scanners:
# - type: Anonymize
# params:
# # allowed_names: []
# # hidden_names: []
# # entity_types: []
# # preamble: ""
# use_faker: false
# - type: BanCompetitors
# params:
# competitors: ["facebook"]
# threshold: 0.5
# - type: BanSubstrings
# params:
# substrings: ["test"]
# match_type: "word"
# case_sensitive: false
# redact: false
# contains_all: false
# - type: BanTopics
# params:
# topics: ["violence"]
# threshold: 0.6
# - type: Code
# params:
# languages: ["Python"]
# is_blocked: true
# - type: Gibberish
# params:
# threshold: 0.9
# - type: InvisibleText
# params: {}
# - type: Language
# params:
# valid_languages: ["en"]
- type: PromptInjection
params:
threshold: 0.9
# - type: Regex
# params:
# patterns: ["Bearer [A-Za-z0-9-._~+/]+"]
# is_blocked: true
# match_type: search
# redact: true
# - type: Secrets
# params:
# redact_mode: "all"
# - type: Sentiment
# params:
# # lexicon: "vader_lexicon"
# threshold: -0.1
# - type: TokenLimit
# params:
# limit: 4096
# encoding_name: "cl100k_base"
- type: Toxicity
params:
threshold: 0.5
output_scanners:
# - type: BanCompetitors
# params:
# competitors: ["facebook"]
# threshold: 0.5
# - type: BanSubstrings
# params:
# substrings: ["test"]
# match_type: "word"
# case_sensitive: false
# redact: false
# contains_all: false
# - type: BanTopics
# params:
# topics: ["violence"]
# threshold: 0.6
# - type: Bias
# params:
# threshold: 0.75
# - type: Code
# params:
# languages: ["Python"]
# is_blocked: true
# - type: Deanonymize
# params:
# matching_strategy: "exact"
# - type: FactualConsistency
# params:
# minimum_score: 0.5
# - type: Gibberish
# params:
# threshold: 0.9
# - type: JSON
# params:
# required_elements: 0
# repair: true
# - type: Language
# params:
# valid_languages: ["en"]
# - type: LanguageSame
# params: {}
# - type: MaliciousURLs
# params:
# threshold: 0.75
- type: NoRefusal
params:
threshold: 0.5
# - type: ReadingTime
# params:
# max_time: 5
# truncate: false
# - type: Regex
# params:
# patterns: ["Bearer [A-Za-z0-9-._~+/]+"]
# is_blocked: true
# match_type: search
# redact: true
- type: Relevance
params:
threshold: 0.5
- type: Sensitive
params:
# entity_types:
redact: false
threshold: 0.0
# - type: Sentiment
# params:
# threshold: -0.1
# # lexicon: "vader_lexicon"
# - type: Toxicity
# params:
# threshold: 0.5
# - type: URLReachability
# params: {}