🚀 Auto-deploy backend from GitHub (454ffc8)

services/inference_client.py

@@ -113,10 +113,10 @@ class InferenceClient:
         self.pro_route_header_name = os.getenv("INFERENCE_PRO_ROUTE_HEADER_NAME", "")
         self.pro_route_header_value = os.getenv("INFERENCE_PRO_ROUTE_HEADER_VALUE", "true")
 
-        self.enforce_qwen_only = os.getenv("INFERENCE_ENFORCE_QWEN_ONLY", "true").strip().lower() in {"1", "true", "yes", "on"}
-        self.qwen_lock_model = os.getenv("INFERENCE_QWEN_LOCK_MODEL", "Qwen/Qwen3-32B").strip() or "Qwen/Qwen3-32B"
+        self.enforce_qwen_only = os.getenv("INFERENCE_ENFORCE_QWEN_ONLY", "false").strip().lower() in {"1", "true", "yes", "on"}
+        self.qwen_lock_model = os.getenv("INFERENCE_QWEN_LOCK_MODEL", "deepseek-chat").strip() or "deepseek-chat"
 
-        default_model_fallback = str(primary.get("id") or "Qwen/Qwen3-32B")
+        default_model_fallback = str(primary.get("id") or "deepseek-chat")
         env_model_id = os.getenv("INFERENCE_MODEL_ID", "").strip()
         self.default_model = env_model_id or default_model_fallback
         
@@ -189,16 +189,16 @@ class InferenceClient:
         )
 
         # Default task-to-model routing.
-        # Keep all tasks pinned to Qwen3-32B when qwen-only lock is active.
+        # Keep all tasks pinned to deepseek-chat when qwen-only lock is active.
         self.task_model_map: Dict[str, str] = {
-            "chat": "Qwen/Qwen3-32B",
-            "verify_solution": "Qwen/Qwen3-32B",
-            "lesson_generation": "Qwen/Qwen3-32B",
-            "quiz_generation": "Qwen/Qwen3-32B",
-            "learning_path": "Qwen/Qwen3-32B",
-            "daily_insight": "Qwen/Qwen3-32B",
-            "risk_classification": "Qwen/Qwen3-32B",
-            "risk_narrative": "Qwen/Qwen3-32B",
+            "chat": "deepseek-chat",
+            "verify_solution": "deepseek-chat",
+            "lesson_generation": "deepseek-chat",
+            "quiz_generation": "deepseek-chat",
+            "learning_path": "deepseek-chat",
+            "daily_insight": "deepseek-chat",
+            "risk_classification": "deepseek-chat",
+            "risk_narrative": "deepseek-chat",
         }
         # Fallback chains (only to other HF-supported models, no featherless-ai)
         self.task_fallback_model_map: Dict[str, List[str]] = {

startup_validation.py

@@ -92,13 +92,13 @@ def validate_environment() -> None:
     logger.info(f"   ✓ INFERENCE_PROVIDER: {inference_provider}")
     
     # Check model IDs
-    chat_model = os.getenv("INFERENCE_CHAT_MODEL_ID") or os.getenv("INFERENCE_MODEL_ID") or "Qwen/Qwen3-32B"
+    chat_model = os.getenv("INFERENCE_CHAT_MODEL_ID") or os.getenv("INFERENCE_MODEL_ID") or "deepseek-chat"
     logger.info(f"   ✓ Chat model configured: {chat_model}")
 
     chat_strict = os.getenv("INFERENCE_CHAT_STRICT_MODEL_ONLY", "true").strip().lower() in {"1", "true", "yes", "on"}
     chat_hard_trigger = os.getenv("INFERENCE_CHAT_HARD_TRIGGER_ENABLED", "false").strip().lower() in {"1", "true", "yes", "on"}
-    enforce_qwen_only = os.getenv("INFERENCE_ENFORCE_QWEN_ONLY", "true").strip().lower() in {"1", "true", "yes", "on"}
-    qwen_lock_model = os.getenv("INFERENCE_QWEN_LOCK_MODEL", "Qwen/Qwen3-32B").strip() or "Qwen/Qwen3-32B"
+    enforce_qwen_only = os.getenv("INFERENCE_ENFORCE_QWEN_ONLY", "false").strip().lower() in {"1", "true", "yes", "on"}
+    qwen_lock_model = os.getenv("INFERENCE_QWEN_LOCK_MODEL", "deepseek-chat").strip() or "deepseek-chat"
     logger.info(f"   ✓ INFERENCE_CHAT_STRICT_MODEL_ONLY: {chat_strict}")
     logger.info(f"   ✓ INFERENCE_CHAT_HARD_TRIGGER_ENABLED: {chat_hard_trigger}")
     logger.info(f"   ✓ INFERENCE_ENFORCE_QWEN_ONLY: {enforce_qwen_only}")