Llm
Parameters
LLM configuration
AI service for LLM calls
Number of similar propositions to retrieve for classification
Minimum similarity threshold - skip LLM if no candidates above this
Minimum LLM-reported similarity to accept SIMILAR classification (default 0.7)
Decay constant for time-based confidence reduction
Embedding similarity at or above which propositions are auto-merged without LLM. Set to 1.1 to disable.
Maximum number of propositions to classify in a single LLM call
When true, candidates that share no entity mentions with the new proposition are filtered out before LLM classification. This eliminates UNRELATED candidates cheaply via set intersection instead of an LLM call. Propositions with no entity mentions bypass this filter.
Optional separate LLM configuration for classification calls. When null (default), uses the main llmOptions. Classification is a structured categorization task that can often use a smaller/cheaper model than extraction without loss of quality.
optional policy that computes and caches an advisory trust score on retained propositions; when null, no score is computed and behaviour is identical to a reviser without trust scoring
optional policy that resolves a proposition's source-authority tier before scoring; only consulted when trustScorer is set
optional policy that classifies the nature of a contradiction; when set, the RevisionResult.Contradicted carries the detector's classification instead of the conservative default