capture

type Capturer interface {
	Extract(ctx context.Context, userMsg, assistantMsg string) ([]models.CapturedMemory, error)

	// ExtractWithContext is like Extract but includes prior conversation turns
	// for better context-aware extraction.
	ExtractWithContext(ctx context.Context, userMsg, assistantMsg string, priorTurns []ConversationTurn) ([]models.CapturedMemory, error)
}

type ClaudeCapturer struct {
	// contains filtered or unexported fields
}

type ConflictDetector struct {
	// contains filtered or unexported fields
}

type ContradictionConfig struct {
	// Enabled gates the entire pipeline. Default: true.
	Enabled bool `mapstructure:"enabled"`

	// SimilarityThreshold is the minimum cosine similarity for a candidate memory
	// to be considered in Stage 1. Default: 0.75.
	SimilarityThreshold float64 `mapstructure:"similarity_threshold"`

	// MaxCandidates caps the Stage 1 candidate pool. Default: 20.
	MaxCandidates int `mapstructure:"max_candidates"`

	// LLMConfirmThreshold is the cosine similarity above which Stage 3 LLM
	// confirmation is skipped and the contradiction is auto-confirmed.
	// Default: 0.82.
	LLMConfirmThreshold float64 `mapstructure:"llm_confirm_threshold"`

	// LLMTimeoutMs is the maximum milliseconds to wait for the Stage 3 LLM call.
	// If exceeded the candidate is skipped (safe default). Default: 150.
	LLMTimeoutMs int `mapstructure:"llm_timeout_ms"`
}

type ContradictionResult struct {
	CandidateID string
	Reason      string
}

type ConversationTurn struct {
	Role    string `json:"role"` // "user" or "assistant"
	Content string `json:"content"`
}

type EntityExtractor struct {
	// contains filtered or unexported fields
}

type MemoryContradictionDetector struct {
	// contains filtered or unexported fields
}