backend/placeholder_registry.py

@@ -258,6 +258,40 @@ class PlaceholderRegistry:
         return metadata._resolver_func(profile_id)
 
 
+def build_ai_placeholder_caption(metadata: PlaceholderMetadata, max_len: int = 400) -> str:
+    """
+    Kurztext für KI-Kontext (z. B. Modifier |d): Bedeutung/Skala, ohne die Rohausgabe zu ersetzen.
+    Nutzt business_meaning / semantic_contract; bei Scores explizite 0–100-Erläuterung.
+    """
+    chunks: List[str] = []
+    bm = (metadata.business_meaning or "").strip()
+    sc = (metadata.semantic_contract or "").strip()
+    desc = (metadata.description or "").strip()
+
+    if bm:
+        chunks.append(bm)
+    elif sc:
+        chunks.append(sc if len(sc) <= max_len else sc[: max_len - 1] + "…")
+    elif desc:
+        chunks.append(desc)
+
+    if metadata.placeholder_type == PlaceholderType.SCORE:
+        chunks.append("Skala 0–100: höher = im Modell günstiger / besser abgestimmt.")
+
+    unit = (metadata.unit or "").strip()
+    if unit and metadata.placeholder_type != PlaceholderType.SCORE:
+        blob = " ".join(chunks).lower()
+        u_low = unit.lower()
+        if u_low not in blob and u_low.replace(" ", "") not in blob.replace(" ", ""):
+            if u_low not in ("score (0-100)", "0-100", "0–100", "dimensionless"):
+                chunks.append(f"Technischer Bezug: {unit}.")
+
+    out = " ".join(c for c in chunks if c).strip()
+    if len(out) > max_len + 120:
+        out = out[: max_len + 60] + "…"
+    return out or desc or metadata.key
+
+
 # Global registry instance
 _global_registry = PlaceholderRegistry()
 

backend/placeholder_resolver.py

@@ -47,6 +47,20 @@ from data_layer.health_metrics import (
     get_vo2_max_data
 )
 
+from placeholder_registry import build_ai_placeholder_caption, get_registry
+
+# {{key}} oder {{key|d}} — Modifier d hängt KI-Kontext (ai_caption) an
+_PLACEHOLDER_TOKEN_RE = re.compile(
+    r"\{\{\s*([a-zA-Z0-9_]+)(?:\s*\|\s*([a-zA-Z0-9_,\s]+))?\s*\}\}"
+)
+
+
+def _ai_caption_for_placeholder_key(key: str) -> Optional[str]:
+    meta = get_registry().get(key)
+    if meta:
+        return build_ai_placeholder_caption(meta)
+    return None
+
 
 # ── Helper Functions ──────────────────────────────────────────────────────────
 
@@ -1588,6 +1602,10 @@ def resolve_placeholders(template: str, profile_id: str) -> str:
     """
     Replace all {{placeholders}} in template with actual user data.
 
+    Unterstützt Modifier wie bei der Prompt-Pipeline:
+    - {{fat_avg}} — nur Wert
+    - {{fat_avg|d}} — Wert plus KI-Kontext (business_meaning / semantic_contract aus Registry)
+
     Args:
         template: Prompt template with placeholders
         profile_id: User profile ID
@@ -1595,18 +1613,26 @@ def resolve_placeholders(template: str, profile_id: str) -> str:
     Returns:
         Resolved template with placeholders replaced by values
     """
-    result = template
 
-    for placeholder, resolver in PLACEHOLDER_MAP.items():
+    def _repl(match: re.Match) -> str:
-        if placeholder in result:
+        key = match.group(1)
+        modifiers_raw = (match.group(2) or "").strip()
+        mods = {x.strip().lower() for x in modifiers_raw.split(",") if x.strip()}
+        ph = f"{{{{{key}}}}}"
+        resolver = PLACEHOLDER_MAP.get(ph)
+        if not resolver:
+            return match.group(0)
         try:
-                value = resolver(profile_id)
+            value = str(resolver(profile_id))
-                result = result.replace(placeholder, str(value))
+        except Exception:
-            except Exception as e:
+            return f"[Fehler: {ph}]"
-                # On error, replace with error message
+        if "d" in mods:
-                result = result.replace(placeholder, f"[Fehler: {placeholder}]")
+            cap = _ai_caption_for_placeholder_key(key)
+            if cap:
+                value = f"{value} — {cap}"
+        return value
 
-    return result
+    return _PLACEHOLDER_TOKEN_RE.sub(_repl, template)
 
 
 def get_unknown_placeholders(template: str) -> List[str]:
@@ -1619,12 +1645,9 @@ def get_unknown_placeholders(template: str) -> List[str]:
     Returns:
         List of unknown placeholder names (without {{}})
     """
-    # Find all {{...}} patterns
+    found = _PLACEHOLDER_TOKEN_RE.findall(template)
-    found = re.findall(r'\{\{(\w+)\}\}', template)
-
-    # Filter to only unknown ones
     known_names = {p.strip('{}') for p in PLACEHOLDER_MAP.keys()}
-    unknown = [p for p in found if p not in known_names]
+    unknown = [key for key, _ in found if key not in known_names]
 
     return list(set(unknown))  # Remove duplicates
 
@@ -1781,7 +1804,8 @@ def get_placeholder_catalog(profile_id: str) -> Dict[str, List[Dict[str, str]]]:
         catalog[category].append({
             'key': key,
             'description': metadata.description,
-            'example': str(example)
+            'example': str(example),
+            'ai_caption': build_ai_placeholder_caption(metadata),
         })
 
     # Legacy placeholders (not in registry yet)
@@ -1810,7 +1834,8 @@ def get_placeholder_catalog(profile_id: str) -> Dict[str, List[Dict[str, str]]]:
             catalog[category].append({
                 'key': key,
                 'description': description,
-                'example': str(example)
+                'example': str(example),
+                'ai_caption': description,
             })
 
     # Add ALL remaining placeholders from PLACEHOLDER_MAP that aren't categorized yet
@@ -1839,7 +1864,8 @@ def get_placeholder_catalog(profile_id: str) -> Dict[str, List[Dict[str, str]]]:
         catalog[sonstige_category].append({
             'key': key,
             'description': f'Platzhalter: {key}',  # Generic description
-            'example': str(example)
+            'example': str(example),
+            'ai_caption': f'Platzhalter {key} (noch ohne erweiterte Registry-Beschreibung).',
         })
 
     return catalog

backend/prompt_executor.py

@@ -19,7 +19,7 @@ def resolve_placeholders(template: str, variables: Dict[str, Any], debug_info: O
     Replace {{placeholder}} with values from variables dict.
 
     Supports modifiers:
-    - {{key|d}} - Include description in parentheses (requires catalog)
+    - {{key|d}} — angehängter KI-Kontext (ai_caption aus Katalog, sonst description; Katalog nötig)
 
     Args:
         template: String with {{key}} or {{key|modifiers}} placeholders
@@ -52,16 +52,16 @@ def resolve_placeholders(template: str, variables: Dict[str, Any], debug_info: O
             # Apply modifiers
             if 'd' in modifiers:
                 if catalog:
-                    # Add description from catalog
+                    caption = None
-                    description = None
                     for cat_items in catalog.values():
                         matching = [item for item in cat_items if item['key'] == key]
                         if matching:
-                            description = matching[0].get('description', '')
+                            row = matching[0]
+                            caption = (row.get('ai_caption') or row.get('description') or '').strip()
                             break
 
-                    if description:
+                    if caption:
-                        resolved_value = f"{resolved_value} ({description})"
+                        resolved_value = f"{resolved_value} — {caption}"
                 else:
                     # Catalog not available - log warning in debug
                     if debug_info is not None:

backend/routers/prompts.py

@@ -486,12 +486,15 @@ def export_placeholder_values(session: dict = Depends(require_auth)):
         export_data['placeholders_by_category'][category] = []
         for item in items:
             key = item['key'].replace('{{', '').replace('}}', '')
-            export_data['placeholders_by_category'][category].append({
+            row = {
                 'key': item['key'],
                 'description': item['description'],
                 'value': cleaned_values.get(key, 'nicht verfügbar'),
-                'example': item.get('example')
+                'example': item.get('example'),
-            })
+            }
+            if item.get('ai_caption'):
+                row['ai_caption'] = item['ai_caption']
+            export_data['placeholders_by_category'][category].append(row)
 
     # Also include flat list for easy access
     export_data['all_placeholders'] = cleaned_values

backend/tests/test_placeholder_modifier_d.py

@@ -0,0 +1,56 @@
+"""Tests für {{key|d}}, ai_caption und Unbekannt-Erkennung."""
+from placeholder_registry import (
+    PlaceholderMetadata,
+    PlaceholderType,
+    OutputType,
+    build_ai_placeholder_caption,
+)
+import placeholder_resolver as pr
+
+
+def test_build_ai_caption_prefers_business_meaning():
+    m = PlaceholderMetadata(
+        key="test_x",
+        category="Test",
+        description="Kurzbeschreibung",
+        resolver_module="m",
+        resolver_function="f",
+        semantic_contract="Lang Vertrag " * 50,
+        business_meaning="Kernbedeutung für die KI.",
+        unit="g/day",
+        placeholder_type=PlaceholderType.INTERPRETED,
+        output_type=OutputType.NUMERIC,
+    )
+    cap = build_ai_placeholder_caption(m)
+    assert "Kernbedeutung" in cap
+
+
+def test_build_ai_caption_score_adds_scale():
+    m = PlaceholderMetadata(
+        key="test_score",
+        category="Test",
+        description="Score",
+        resolver_module="m",
+        resolver_function="f",
+        business_meaning="Gewichteter Gesamtscore.",
+        unit="Score (0-100)",
+        placeholder_type=PlaceholderType.SCORE,
+        output_type=OutputType.NUMERIC,
+    )
+    cap = build_ai_placeholder_caption(m)
+    assert "0–100" in cap or "0-100" in cap
+    assert "Gewichteter" in cap
+
+
+def test_placeholder_token_regex_optional_modifier():
+    m0 = pr._PLACEHOLDER_TOKEN_RE.search("{{fat_avg}}")
+    assert m0 and m0.group(1) == "fat_avg" and m0.group(2) is None
+    m1 = pr._PLACEHOLDER_TOKEN_RE.search("{{fat_avg|d}}")
+    assert m1 and m1.group(1) == "fat_avg" and m1.group(2).strip() == "d"
+    m2 = pr._PLACEHOLDER_TOKEN_RE.search("{{ protein_avg  |  d  }}")
+    assert m2 and m2.group(1) == "protein_avg" and m2.group(2).strip() == "d"
+
+
+def test_get_unknown_placeholders_strips_modifier():
+    unk = pr.get_unknown_placeholders("{{not_a_real_key|d}}")
+    assert set(unk) == {"not_a_real_key"}