package minds import ( "fmt" "time" ) // CognitiveConfig holds per-mind tunables consumed by the brain. Defaults are // conservative; every field is exposed in the UI in later phases. type CognitiveConfig struct { WorkspaceCapacity int `json:"workspace_capacity"` WorkingMemoryCapacity int `json:"working_memory_capacity"` AttentionWeights map[string]float64 `json:"attention_weights"` CycleMinInterval Duration `json:"cycle_min_interval"` IdleCycleInterval Duration `json:"idle_cycle_interval"` MaxCyclesPerMinute int `json:"max_cycles_per_minute"` LLMCallsPerCycle int `json:"llm_calls_per_cycle"` DailyTokenBudget int64 `json:"daily_token_budget"` WorkingMemoryDecay float64 `json:"working_memory_decay"` // activation multiplier per cycle LoopDetectWindow int `json:"loop_detect_window"` LoopDetectThreshold int `json:"loop_detect_threshold"` } // AttentionFeatures is the fixed set of scoring features (spec ยง6). Weights are // per mind; features are computed deterministically by the attention package. var AttentionFeatures = []string{"salience", "urgency", "novelty", "affect", "goal_relevance", "consequence", "confidence", "contradiction", "operator_priority", "context_relevance"} // DefaultConfig returns the baseline cognitive configuration. func DefaultConfig() CognitiveConfig { w := map[string]float64{"salience": 1.0, "urgency": 1.2, "novelty": 0.8, "affect": 0.6, "goal_relevance": 1.1, "consequence": 0.9, "confidence": 0.4, "contradiction": 1.0, "operator_priority": 1.5, "context_relevance": 0.9} return CognitiveConfig{WorkspaceCapacity: 7, WorkingMemoryCapacity: 9, AttentionWeights: w, CycleMinInterval: Duration(500 * time.Millisecond), IdleCycleInterval: Duration(60 * time.Second), MaxCyclesPerMinute: 60, LLMCallsPerCycle: 3, DailyTokenBudget: 500_000, WorkingMemoryDecay: 0.85, LoopDetectWindow: 20, LoopDetectThreshold: 5} } // Normalise fills gaps from defaults and clamps ranges. func (c *CognitiveConfig) Normalise() { d := DefaultConfig() if c.WorkspaceCapacity < 1 || c.WorkspaceCapacity > 32 { c.WorkspaceCapacity = d.WorkspaceCapacity } if c.WorkingMemoryCapacity < 1 || c.WorkingMemoryCapacity > 64 { c.WorkingMemoryCapacity = d.WorkingMemoryCapacity } if c.AttentionWeights == nil { c.AttentionWeights = map[string]float64{} } for _, f := range AttentionFeatures { v, ok := c.AttentionWeights[f] if !ok || v < 0 || v > 5 { c.AttentionWeights[f] = d.AttentionWeights[f] } } for k := range c.AttentionWeights { if !contains(AttentionFeatures, k) { delete(c.AttentionWeights, k) } } if c.CycleMinInterval <= 0 { c.CycleMinInterval = d.CycleMinInterval } if c.IdleCycleInterval <= 0 { c.IdleCycleInterval = d.IdleCycleInterval } if c.MaxCyclesPerMinute < 1 || c.MaxCyclesPerMinute > 600 { c.MaxCyclesPerMinute = d.MaxCyclesPerMinute } if c.LLMCallsPerCycle < 0 || c.LLMCallsPerCycle > 20 { c.LLMCallsPerCycle = d.LLMCallsPerCycle } if c.DailyTokenBudget <= 0 { c.DailyTokenBudget = d.DailyTokenBudget } if c.WorkingMemoryDecay <= 0 || c.WorkingMemoryDecay >= 1 { c.WorkingMemoryDecay = d.WorkingMemoryDecay } if c.LoopDetectWindow < 5 { c.LoopDetectWindow = d.LoopDetectWindow } if c.LoopDetectThreshold < 2 { c.LoopDetectThreshold = d.LoopDetectThreshold } } func contains(xs []string, x string) bool { for _, y := range xs { if y == x { return true } } return false } // Duration marshals as a Go duration string in JSON ("500ms") for readability. type Duration time.Duration // MarshalJSON implements json.Marshaler. func (d Duration) MarshalJSON() ([]byte, error) { return []byte(fmt.Sprintf("%q", time.Duration(d).String())), nil } // UnmarshalJSON accepts a duration string or a number of nanoseconds. func (d *Duration) UnmarshalJSON(b []byte) error { if len(b) > 0 && b[0] == '"' { v, err := time.ParseDuration(string(b[1 : len(b)-1])) if err != nil { return err } *d = Duration(v) return nil } var n int64 if _, err := fmt.Sscan(string(b), &n); err != nil { return err } *d = Duration(n) return nil } // D returns the time.Duration. func (d Duration) D() time.Duration { return time.Duration(d) }