Implement OpenRouter Model Support in AI Prompt System

- Added `openrouter_model` field to the `ai_prompts` table, allowing for optional model overrides per prompt.
- Updated the `exercise_ai` module to utilize the effective OpenRouter model based on prompt-specific settings, enhancing flexibility in AI interactions.
- Enhanced the admin interface to support OpenRouter model configuration for prompts, improving usability for Superadmins.
- Incremented application version to 0.8.161 and updated changelog to reflect these changes, including migration details and new functionality.

.claude/docs/technical/AI_PROMPT_SYSTEM_SPEC.md

@@ -8,6 +8,7 @@
 
 **Ist-Stand API (Superadmin):**
 - `GET /api/admin/ai-prompts`, `GET /api/admin/ai-prompts/{id}`, `PUT …`, `POST …/preview`, `POST …/reset-template`, `GET /api/admin/ai-prompts/catalog/placeholders`
+- Spalte **`openrouter_model`** (Migration **070**): Optional pro Prompt-Zeile; OpenRouter **`model`**-Parameter; **`NULL`/leer ⇒ `OPENROUTER_MODEL`** aus der Umgebung.
 
 **Autor:** Claude Code
 **Vorbild:** Mitai Jinkendo Issue #53 + `backend/routers/prompts.py` + Placeholder-System

.claude/docs/technical/AI_PROMPT_TARGET_ARCHITECTURE.md

@@ -140,7 +140,7 @@ flowchart LR
 |-------|--------|
 | **P0** | `AiPromptContextKind`, `load_ai_prompt_row` zentral; Übungs-KI über Laufzeit. |
 | **P1 (teilweise)** | `load_and_render_ai_prompt`, `AiPromptUnavailableError`, `render_ai_prompt_template_for_row`; **Pydantic** `ExerciseFormAiPromptContext` / `resolve_exercise_form_variables` in `ai_prompt_job` (Admin-Vorschau + gemeinsame Schnittstelle). Nächster Schritt: `POST /exercises/ai/suggest` kann dasselbe Kontextmodell nutzen; optionale `execute_*`-Fassade fuer OpenRouter-Schritt. |
-| **P2** | Versionierung oder Audit-Spalten; optionale Modell-/Temperatur-Overrides pro Slug in DB oder Config-Tabelle. |
+| **P2** | Versionierung oder Audit-Spalten; **teilweise:** optionales OpenRouter-Modell pro Zeile (`openrouter_model`, Migration 070, Fallback `OPENROUTER_MODEL`); weitere Overrides (Temperatur) offen. |
 | **P3** | Composition/Segmente (JSON Schema Version 1) + UI nur für komplexe Slugs. |
 | **P4** | Erste Planungs-/Rahmen-Slugs mit dedizierten Buildern und Token-Budget-Strategien. |
 

.env.example

@@ -34,6 +34,8 @@ DB_PASSWORD=CHANGE_ME_SECURE_PASSWORD
 
 OPENROUTER_API_KEY=your_api_key_here
 OPENROUTER_MODEL=anthropic/claude-sonnet-4
+# Standard-OpenRouter-Modell (alle Aufrufe). Optional pro Prompt in ai_prompts.openrouter_model
+# ueberschreibbar (Migration 070, Superadmin unter „KI Prompts“).
 
 # Übungs-KI (Docker): ohne Eintrag im compose „environment:“ landet keine .env-Zeile im Container.
 # Hier ist SHINKAN_AI_DEBUG in docker-compose*.yml angebunden — 1 = ausführliche WARN-Logs (exercise_ai, openrouter).

backend/ai_prompt_job.py

@@ -24,6 +24,10 @@ class ExerciseFormAiPromptContext(BaseModel):
     """
     Eingabe fuer Uebungsbezogene Prompts (Kurzfassung / Skill-JSON-Vorschlag).
     Entspricht fachlich dem Preview-Body unter /api/admin/ai-prompts/*/preview.
+
+    Abgrenzung: POST /exercises/ai/suggest nutzt ExerciseAiSuggestBody mit include_summary /
+    include_skills usw.; dieses Modell bildet nur die gemeinsamen Formularfelder — wie die
+    Admin-Vorschau-Body (AiPromptPreviewBody).
     """
 
     title: Optional[str] = ""

backend/ai_prompt_runtime.py

@@ -45,7 +45,7 @@ def load_ai_prompt_row(cur, slug: str, *, active_only: bool = True) -> Optional[
     if active_only:
         cur.execute(
             """
-            SELECT slug, display_name, template, output_format, active
+            SELECT slug, display_name, template, output_format, active, openrouter_model
             FROM ai_prompts
             WHERE slug = %s AND active = true
             """,
@@ -54,7 +54,7 @@ def load_ai_prompt_row(cur, slug: str, *, active_only: bool = True) -> Optional[
     else:
         cur.execute(
             """
-            SELECT slug, display_name, template, output_format, active
+            SELECT slug, display_name, template, output_format, active, openrouter_model
             FROM ai_prompts
             WHERE slug = %s
             """,

backend/exercise_ai.py

@@ -16,7 +16,13 @@ from typing import Any, Dict, List, Mapping, MutableMapping, Optional, Sequence,
 
 from fastapi import HTTPException
 
-from openrouter_chat import OpenRouterError, normalize_openrouter_env, openrouter_chat_completion
+from openrouter_chat import (
+    OpenRouterError,
+    default_openrouter_model_id,
+    effective_openrouter_model_for_prompt_row,
+    normalize_openrouter_env,
+    openrouter_chat_completion,
+)
 
 from ai_prompt_runtime import AiPromptUnavailableError, load_and_render_ai_prompt
 
@@ -663,14 +669,14 @@ def _sanitize_skill_entries(cur, rows: Any) -> List[Dict[str, Any]]:
     return out[:5]
 
 
-def _require_openrouter() -> Tuple[str, str]:
-    key, model = normalize_openrouter_env()
+def _require_openrouter_key() -> str:
+    key, _ = normalize_openrouter_env()
     if not key:
         raise HTTPException(
             status_code=503,
             detail="KI nicht konfiguriert (OPENROUTER_API_KEY fehlt).",
         )
-    return key, model
+    return key
 
 
 def run_exercise_ai_suggestion(
@@ -684,7 +690,7 @@ def run_exercise_ai_suggestion(
     want_summary: bool,
     want_skills: bool,
 ) -> Dict[str, Any]:
-    key, model = _require_openrouter()
+    key = _require_openrouter_key()
 
     g_plain = strip_html_to_plain(goal)
     e_plain = strip_html_to_plain(execution)
@@ -697,7 +703,8 @@ def run_exercise_ai_suggestion(
     t_title = (title or "").strip()
     focus = (focus_area_hint or "").strip()
 
-    result: Dict[str, Any] = {"model": model}
+    result: Dict[str, Any] = {}
+    models_by_slug: Dict[str, str] = {}
 
     if _ai_debug_on():
         fid_list = ",".join(str(x) for x in _ordered_focus_ids(focus_areas_context))
@@ -733,6 +740,8 @@ def run_exercise_ai_suggestion(
                 status_code=503,
                 detail="Prompt exercise_summary nicht aktiv oder fehlt in DB.",
             ) from None
+        model_summary = effective_openrouter_model_for_prompt_row(prow)
+        models_by_slug["exercise_summary"] = model_summary
         prompt = rendered.text
         if _ai_debug_on():
             _LOGGER.warning(
@@ -741,7 +750,7 @@ def run_exercise_ai_suggestion(
                 len(rendered.placeholders_remaining),
             )
         try:
-            raw = openrouter_chat_completion(api_key=key, model=model, user_content=prompt)
+            raw = openrouter_chat_completion(api_key=key, model=model_summary, user_content=prompt)
         except OpenRouterError as e:
             raise HTTPException(status_code=502, detail=f"OpenRouter: {e}") from e
         if _ai_debug_on():
@@ -754,7 +763,7 @@ def run_exercise_ai_suggestion(
             )
         if len(text) > _MAX_SUMMARY_CHARS:
             text = text[: _MAX_SUMMARY_CHARS - 1].rstrip() + "…"
-        result["summary"] = {"text": text, "ai_generated": True, "model": model}
+        result["summary"] = {"text": text, "ai_generated": True, "model": model_summary}
 
     if want_skills:
         try:
@@ -776,6 +785,8 @@ def run_exercise_ai_suggestion(
                 status_code=503,
                 detail="Prompt exercise_skill_suggestions nicht aktiv oder fehlt in DB.",
             ) from None
+        model_skills = effective_openrouter_model_for_prompt_row(srow)
+        models_by_slug["exercise_skill_suggestions"] = model_skills
         prompt = rendered.text
         if _ai_debug_on():
             _LOGGER.warning(
@@ -791,7 +802,7 @@ def run_exercise_ai_suggestion(
         try:
             raw = openrouter_chat_completion(
                 api_key=key,
-                model=model,
+                model=model_skills,
                 user_content=prompt,
                 system_content=sys_hint,
                 temperature=0.15,
@@ -829,6 +840,14 @@ def run_exercise_ai_suggestion(
 
         result["skills"] = skills
 
+    result["models_by_slug"] = models_by_slug
+    if want_skills:
+        result["model"] = models_by_slug["exercise_skill_suggestions"]
+    elif want_summary:
+        result["model"] = models_by_slug["exercise_summary"]
+    else:
+        result["model"] = default_openrouter_model_id()
+
     return result
 
 

backend/migrations/070_ai_prompts_openrouter_model.sql

@@ -0,0 +1,7 @@
+-- Migration 070: optionales OpenRouter-Modell pro Prompt-Zeile
+-- Leer/NULL → Umgebungsvariable OPENROUTER_MODEL (wie bisher).
+
+ALTER TABLE ai_prompts ADD COLUMN IF NOT EXISTS openrouter_model VARCHAR(200);
+
+COMMENT ON COLUMN ai_prompts.openrouter_model IS
+    'Optional: OpenRouter model id (z.B. anthropic/claude-3.5-haiku); NULL = OPENROUTER_MODEL aus Env';

backend/openrouter_chat.py

@@ -6,7 +6,7 @@ from __future__ import annotations
 import json
 import logging
 import os
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Mapping, Optional
 
 import httpx
 
@@ -203,3 +203,22 @@ def normalize_openrouter_env() -> tuple[str, str]:
     key = (os.getenv("OPENROUTER_API_KEY") or "").strip()
     model = (os.getenv("OPENROUTER_MODEL") or "anthropic/claude-sonnet-4").strip()
     return key, model
+
+
+def default_openrouter_model_id() -> str:
+    """Standard-Modell aus OPENROUTER_MODEL (ohne API-Key zu pruefen)."""
+    _, model = normalize_openrouter_env()
+    return model
+
+
+def effective_openrouter_model_for_prompt_row(row: Optional[Mapping[str, Any]]) -> str:
+    """
+    Pro-Prompt-Override in ai_prompts.openrouter_model, sonst Env-Default.
+
+    `row` kann eine partial Row aus load_ai_prompt_row sein (Felder slug, openrouter_model, …).
+    """
+    if row:
+        custom = str(row.get("openrouter_model") or "").strip()
+        if custom:
+            return custom
+    return default_openrouter_model_id()

backend/routers/ai_prompts_admin.py

@@ -40,7 +40,7 @@ def _fetch_prompt_any(cur, prompt_id: int) -> Dict[str, Any]:
     cur.execute(
         """
         SELECT id, slug, display_name, description, template, category, output_format,
-               output_schema, is_system_default, default_template,
+               output_schema, is_system_default, default_template, openrouter_model,
                active, sort_order, created_at, updated_at
         FROM ai_prompts WHERE id = %s
         """,
@@ -57,6 +57,7 @@ class AiPromptUpdateBody(BaseModel):
     active: Optional[bool] = None
     display_name: Optional[str] = Field(None, max_length=200)
     description: Optional[str] = Field(None, max_length=8000)
+    openrouter_model: Optional[str] = Field(None, max_length=200)
 
 
 class AiPromptPreviewFocus(BaseModel):
@@ -86,7 +87,7 @@ def list_ai_prompts(session: dict = Depends(_require_superadmin)):
         cur.execute(
             """
             SELECT id, slug, display_name, description, category, output_format, active,
-                   sort_order, is_system_default, default_template
+                   sort_order, is_system_default, default_template, openrouter_model
             FROM ai_prompts
             ORDER BY sort_order ASC NULLS LAST, id ASC
             """
@@ -150,16 +151,25 @@ def update_ai_prompt(
         next_desc = body.description if body.description is not None else old.get("description") or ""
         next_desc = (next_desc or "").strip()
 
+        next_openrouter = old.get("openrouter_model")
+        if body.openrouter_model is not None:
+            cand = body.openrouter_model.strip() if isinstance(body.openrouter_model, str) else ""
+            if any(c in cand for c in ("\r", "\n", "\t")):
+                raise HTTPException(status_code=400, detail="openrouter_model: keine Steuerzeichen erlaubt.")
+            next_openrouter = cand or None
+
         cur.execute(
             """
             UPDATE ai_prompts
-            SET template = %s, active = %s, display_name = %s, description = %s, updated_at = NOW()
+            SET template = %s, active = %s, display_name = %s, description = %s,
+                openrouter_model = %s, updated_at = NOW()
             WHERE id = %s
             RETURNING id, slug, display_name, description, template, category, output_format,
-                      output_schema, is_system_default, default_template, active, sort_order,
+                      output_schema, is_system_default, default_template, openrouter_model,
+                      active, sort_order,
                       created_at, updated_at
             """,
-            (next_template, next_active, next_name, next_desc, prompt_id),
+            (next_template, next_active, next_name, next_desc, next_openrouter, prompt_id),
         )
         row = dict(cur.fetchone())
         conn.commit()
@@ -188,7 +198,8 @@ def reset_ai_prompt_template(prompt_id: int, session: dict = Depends(_require_su
             SET template = default_template, updated_at = NOW()
             WHERE id = %s AND default_template IS NOT NULL
             RETURNING id, slug, display_name, description, template, category, output_format,
-                      output_schema, is_system_default, default_template, active, sort_order,
+                      output_schema, is_system_default, default_template, openrouter_model,
+                      active, sort_order,
                       created_at, updated_at
             """,
             (prompt_id,),

backend/version.py

@@ -1,8 +1,8 @@
 # Shinkan Jinkendo Version Information
 
-APP_VERSION = "0.8.160"
-BUILD_DATE = "2026-05-30"
-DB_SCHEMA_VERSION = "20260530069"
+APP_VERSION = "0.8.161"
+BUILD_DATE = "2026-05-31"
+DB_SCHEMA_VERSION = "20260531070"
 
 MODULE_VERSIONS = {
     "legal_documents": "1.4.0",  # Admin: Live-Vorschau pro Abschnitt + modale Vollvorschau (Editor + Dokumentenliste)
@@ -19,14 +19,14 @@ MODULE_VERSIONS = {
     "media_legal_hold": "1.0.0",  # P-11: Sofortsperre-Services (set_legal_hold, release_legal_hold)
     "media_lifecycle": "1.1.0",  # P-11: Retention-Job ueberspringt Legal-Hold-Assets
     "admin_ai_skill_retrieval": "1.0.0",  # Superadmin CRUD /api/admin/ai-skill-retrieval-profiles (Migration 068)
-    "admin_ai_prompts": "1.0.2",  # Preview: ai_prompt_job + render_ai_prompt_template_for_row
+    "admin_ai_prompts": "1.0.3",  # Migration 070: openrouter_model; PUT/Liste/Detail
     "ai_prompt_job": "0.1.0",  # ExerciseFormAiPromptContext, resolve_exercise_form_variables — P1 Kontext-Schnittstelle
     "ai_prompt_runtime": "0.2.0",  # load_and_render_ai_prompt, AiPromptUnavailableError, render_ai_prompt_template_for_row
     "groups": "0.1.0",
     "skills": "0.1.1",  # DB 065 karate_relevance + relevance_level; CRUD unterstützt Felder
     "skill_profiles": "1.0.0",  # Phase 3: gewichtetes Fähigkeiten-Profil + skill-discovery/suggestions
     "methods": "0.1.0",
-    "exercises": "2.31.2",  # exercise_ai: load_and_render_ai_prompt statt getrennt load+render
+    "exercises": "2.31.3",  # exercise_ai: OpenRouter-Modell pro Prompt-Slug; Response models_by_slug
     "training_units": "0.4.0",  # POST .../publish-to-framework: Ablauf aus geplanter Einheit → Rahmen-Slot-Blueprint
     "training_programs": "0.1.0",
     "planning": "0.15.0",  # Vorlagen: Strukturvorschau, Bearbeiten inkl. Split-Sessions + Beschreibung
@@ -41,6 +41,15 @@ MODULE_VERSIONS = {
 }
 
 CHANGELOG = [
+    {
+        "version": "0.8.161",
+        "date": "2026-05-31",
+        "changes": [
+            "Migration 070: ai_prompts.openrouter_model (optional je Prompt; Fallback OPENROUTER_MODEL).",
+            "exercise_ai: effektives OpenRouter-Modell pro Slug; API-Response models_by_slug + model (Skills bevorzugt).",
+            "Superadmin „KI Prompts“: OpenRouter-Modell speicherbar.",
+        ],
+    },
     {
         "version": "0.8.160",
         "date": "2026-05-30",

frontend/src/pages/AdminAiPromptsPage.jsx

@@ -23,6 +23,7 @@ export default function AdminAiPromptsPage() {
   const [draftName, setDraftName] = useState('')
   const [draftDesc, setDraftDesc] = useState('')
   const [draftTemplate, setDraftTemplate] = useState('')
+  const [draftOpenrouterModel, setDraftOpenrouterModel] = useState('')
   const [draftActive, setDraftActive] = useState(true)
 
   const [pvTitle, setPvTitle] = useState('Testübung')
@@ -74,6 +75,9 @@ export default function AdminAiPromptsPage() {
           setDraftName(d.display_name || '')
           setDraftDesc(d.description || '')
           setDraftTemplate(d.template || '')
+          setDraftOpenrouterModel(
+            typeof d.openrouter_model === 'string' ? d.openrouter_model : ''
+          )
           setDraftActive(!!d.active)
           setPvPreview(null)
         }
@@ -96,6 +100,7 @@ export default function AdminAiPromptsPage() {
         display_name: draftName,
         description: draftDesc,
         active: draftActive,
+        openrouter_model: draftOpenrouterModel.trim(),
       })
       await loadList()
       const nd = await api.getAdminAiPrompt(detail.id)
@@ -201,6 +206,11 @@ export default function AdminAiPromptsPage() {
                       inaktiv
                     </span>
                   ) : null}
+                  {p.openrouter_model ? (
+                    <span style={{ fontSize: 11, color: 'var(--text3)' }} title="OpenRouter-Modell für diesen Prompt">
+                      Model: <code>{p.openrouter_model}</code>
+                    </span>
+                  ) : null}
                   {p.is_modified ? <span style={{ fontSize: 11 }}>(von Referenz abweichend)</span> : null}
                 </button>
               </li>
@@ -231,6 +241,17 @@ export default function AdminAiPromptsPage() {
                     onChange={(e) => setDraftDesc(e.target.value)}
                   />
                 </div>
+                <div className="form-row">
+                  <label className="form-label">OpenRouter-Modell (optional)</label>
+                  <input
+                    className="form-input"
+                    placeholder="Leer = Server-OPENROUTER_MODEL · z.B. anthropic/claude-3.5-haiku"
+                    autoComplete="off"
+                    spellCheck={false}
+                    value={draftOpenrouterModel}
+                    onChange={(e) => setDraftOpenrouterModel(e.target.value)}
+                  />
+                </div>
                 <label style={{ display: 'flex', alignItems: 'center', gap: 8, marginBottom: 12 }}>
                   <input type="checkbox" checked={draftActive} onChange={(e) => setDraftActive(e.target.checked)} />
                   Aktiv