Function classifyIntent

cmd/intent.go:92–148

classifyIntent analyzes a user prompt against code intelligence to determine task intent.

(prompt string, files []string, info *hubInfo, cfg config.ProjectConfig)

// classifyIntent analyzes a user prompt against code intelligence to determine task intent.
func classifyIntent(prompt string, files []string, info *hubInfo, cfg config.ProjectConfig) TaskIntent {
	intent := TaskIntent{
		Category:  "feature", // default
		Files:     files,
		RiskLevel: "low",
		Scope:     "single-file",
	}

	// Score each category using weighted signals
	promptLower := strings.ToLower(prompt)
	scores := make(map[string]int)
	for _, cd := range categoryDefs {
		for _, sig := range cd.Signals {
			if strings.Contains(promptLower, sig.Phrase) {
				scores[cd.Category] += sig.Weight
			}
		}
	}

	// Find highest scoring category (deterministic: on tie, use categoryDefs order)
	bestScore := 0
	totalScore := 0
	for _, score := range scores {
		totalScore += score
	}
	// Iterate in definition order for deterministic tie-breaking
	for _, cd := range categoryDefs {
		score := scores[cd.Category]
		if score > bestScore {
			bestScore = score
			intent.Category = cd.Category
		}
	}

	// Confidence: ratio of best score to total (1.0 if only one category matched)
	if totalScore > 0 {
		intent.Confidence = float64(bestScore) / float64(totalScore)
	}

	// Compute scope from file distribution
	intent.Scope = computeScope(files)

	// Match subsystems
	if len(cfg.Routing.Subsystems) > 0 {
		matches := matchSubsystemRoutes(prompt, cfg, cfg.RoutingTopKOrDefault())
		for _, m := range matches {
			intent.Subsystems = append(intent.Subsystems, m.ID)
		}
	}

	// Compute risk level and generate suggestions from hub analysis
	if info != nil {
		intent.RiskLevel, intent.Suggestions = analyzeRisk(files, info, intent.Category)
	}

	return intent
}