Warn when configured LLM is not frontier-recommended (#586)

Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>

strix/interface/main.py

@@ -23,9 +23,11 @@ from strix.config import (
     persist_current,
 )
 from strix.config.models import (
+    RECOMMENDED_MODEL_NAMES,
     StrixProvider,
     configure_sdk_model_defaults,
     is_known_openai_bare_model,
+    is_recommended_or_frontier_model,
 )
 from strix.core.paths import run_dir_for, runtime_state_dir
 from strix.interface.cli import run_cli
@@ -264,7 +266,7 @@ def _provider_import_hint(exc: BaseException, model: str) -> str | None:
     return None
 
 
-async def warm_up_llm() -> None:
+async def warm_up_llm(show_model_warning: bool = True) -> None:
     console = Console()
     logger.info("Warming up LLM connection")
 
@@ -306,6 +308,32 @@ async def warm_up_llm() -> None:
             )
             sys.exit(1)
 
+        if show_model_warning and raw_model and not is_recommended_or_frontier_model(raw_model):
+            warn_text = Text()
+            warn_text.append("MODEL QUALITY WARNING", style="bold yellow")
+            warn_text.append("\n\n", style="white")
+            warn_text.append(f"'{raw_model}'", style="bold cyan")
+            warn_text.append(
+                " is not a recommended frontier model for Strix.\nSecurity scans work best with:\n",
+                style="white",
+            )
+            for recommended_model in RECOMMENDED_MODEL_NAMES:
+                warn_text.append(f"• {recommended_model}\n", style="bold cyan")
+            warn_text.append(
+                "\nYou can continue, but weaker models may miss vulnerabilities "
+                "or produce lower-quality findings.",
+                style="white",
+            )
+            console.print(
+                Panel(
+                    warn_text,
+                    title="[bold white]STRIX",
+                    title_align="left",
+                    border_style="yellow",
+                    padding=(1, 2),
+                ),
+            )
+
         model = StrixProvider().get_model(raw_model)
         await asyncio.wait_for(
             model.get_response(
@@ -827,7 +855,7 @@ def main() -> None:
     pull_docker_image()
 
     validate_environment()
-    asyncio.run(warm_up_llm())
+    asyncio.run(warm_up_llm(show_model_warning=args.non_interactive))
 
     persist_current()