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: {}