fixes

apps/api/internal/processing/llm_json.go

@@ -11,15 +11,18 @@ import (
 // Local / weak-model defaults (8k-class context). See docs/local-llm-tuning.md.
 const (
 	DefaultStructuredTemp = 0.2
-	MaxTokensEnhance      = 350
-	MaxTokensSEO          = 180
-	MaxTokensCampaign     = 650
-	MaxProductDescRunes   = 400
-	MaxAttrKeys           = 10
-	MaxAttrValueRunes     = 60
-	MaxBrandInjectRunes   = 500
-	MaxCampaignProducts   = 8
-	MaxCampaignNameRunes  = 80
+	// Reasoning-capable OpenAI-compatible models (e.g. code-fast / Qwen3) spend
+	// hundreds–thousands of tokens in reasoning_content before writing message.content.
+	// 350 capped mid-thought → empty content → "empty model response".
+	MaxTokensEnhance     = 4096
+	MaxTokensSEO         = 180
+	MaxTokensCampaign    = 650
+	MaxProductDescRunes  = 400
+	MaxAttrKeys          = 10
+	MaxAttrValueRunes    = 60
+	MaxBrandInjectRunes  = 500
+	MaxCampaignProducts  = 8
+	MaxCampaignNameRunes = 80
 )
 
 // CompleteOptions tunes a single chat completion for structured tasks.
@@ -152,14 +155,14 @@ func CompactAttrs(attrs map[string]any, maxKeys int) map[string]any {
 	keys := make([]string, 0, len(attrs))
 	for k := range attrs {
 		k = strings.TrimSpace(k)
-		if k == "" {
+		if k == "" || isInvalidAttributeKey(k) {
 			continue
 		}
 		keys = append(keys, k)
 	}
 	sort.Strings(keys)
 	// Prefer common retail keys first.
-	priority := []string{"brand", "Brand", "color", "Color", "material", "Material", "size", "Size", "model", "Model", "gtin", "GTIN", "ean", "EAN"}
+	priority := []string{"brand", "Brand", "product_model", "color", "Color", "material", "Material", "size", "Size", "model", "Model", "gtin", "GTIN", "ean", "EAN"}
 	ordered := make([]string, 0, len(keys))
 	seen := map[string]bool{}
 	for _, p := range priority {