Add admin AI models panel (list, test, select Mistral models)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

artifacts/flask-api/ai_agent.py

@@ -11,6 +11,7 @@ import logging
 from openai import OpenAI, BadRequestError
 from legal_framework import LEGAL_FILTER_PROMPT, SYNTHESIS_PROMPT, LAW_CHECK_PROMPT, build_filter_prompt
 from legifrance_client import get_legifrance_client
+from database import get_setting
 
 logger = logging.getLogger(__name__)
 
@@ -36,6 +37,16 @@ def _get_live_legal_texts() -> dict[str, str]:
         return {}
 
 
+def get_model(kind: str) -> str:
+    """kind = "filter" | "synthesis". Priorité : réglage admin (DB) > env > défaut."""
+    default = "mistral-small-latest" if kind == "filter" else "mistral-large-latest"
+    try:
+        saved = get_setting(f"{kind}_model")
+    except Exception:
+        saved = None
+    return saved or os.environ.get(f"{kind.upper()}_MODEL", os.environ.get(f"OPENAI_{kind.upper()}_MODEL", default))
+
+
 def get_client() -> OpenAI:
     """
     Supporte deux modes (par ordre de priorité) :
@@ -75,7 +86,7 @@ def filter_idea(content: str) -> dict:
     """
     try:
         client = get_client()
-        filter_model = os.environ.get("FILTER_MODEL", os.environ.get("OPENAI_FILTER_MODEL", "mistral-small-latest"))
+        filter_model = get_model("filter")
         live_texts = _get_live_legal_texts()
         system_prompt = build_filter_prompt(live_texts)
         if live_texts:
@@ -137,7 +148,7 @@ def check_existing_law(content: str) -> str:
     """
     try:
         client = get_client()
-        model = os.environ.get("FILTER_MODEL", os.environ.get("OPENAI_FILTER_MODEL", "mistral-small-latest"))
+        model = get_model("filter")
         response = client.chat.completions.create(
             model=model,
             max_tokens=200,
@@ -165,7 +176,7 @@ def synthesize_ideas(ideas: list[str]) -> str:
         )
     try:
         client = get_client()
-        synthesis_model = os.environ.get("SYNTHESIS_MODEL", os.environ.get("OPENAI_SYNTHESIS_MODEL", "mistral-large-latest"))
+        synthesis_model = get_model("synthesis")
         ideas_text = "\n".join(f"{i + 1}. {idea}" for i, idea in enumerate(ideas))
         response = client.chat.completions.create(
             model=synthesis_model,