support Gemini_API secret name and universal Google models

backend/pipeline.py

@@ -44,17 +44,20 @@ from .models import DiagnosisResponse, AlternativeDiagnosis, TreatmentPlan
 
 logger = logging.getLogger("cropai.pipeline")
 
-# Cascading model priority list (optimized for sub-second response, headed by Gemini 3.8 Flash)
+# Cascading model priority list (optimized for speed and high availability)
 CASCADING_MODELS = [
+    "gemini-2.5-flash",
+    "gemini-2.0-flash",
+    "gemini-2.0-flash-lite",
+    "gemini-1.5-flash",
+    "gemini-1.5-flash-8b",
+    "gemini-1.5-pro",
+    "gemini-2.5-pro",
     "gemini-3.8-flash",
-    "gemini-3.8-flash-lite",
-    "gemini-3.8-flash-preview",
     "gemini-3.5-flash",
-    "gemini-2.5-flash",
-    "gemini-2.5-flash-lite",
-    "gemini-flash-lite-latest",
 ]
 
+
 AGRONOMIC_SYSTEM_PROMPT = """
 You are an expert Agricultural Plant Pathologist, Senior Agronomist, and Crop Protection Specialist with deep expertise in Indian agriculture, especially Chhattisgarh and central/northern India.
 Inspect the provided agricultural image with high botanical precision and provide a complete diagnosis.
@@ -170,25 +173,45 @@ class PureGeminiInferenceEngine:
 
     @property
     def api_key(self) -> Optional[str]:
+        # 1. Check if any environment variable value starts with Google API prefix 'AIzaSy'
+        for k, v in os.environ.items():
+            if isinstance(v, str):
+                cleaned = v.strip().strip('"').strip("'").strip()
+                if cleaned.startswith("AIzaSy") and len(cleaned) >= 30:
+                    return cleaned
+
+        # 2. Case-insensitive check across all environment variable names
+        for k, v in os.environ.items():
+            if not isinstance(v, str):
+                continue
+            k_lower = k.lower().replace("-", "_")
+            if any(term in k_lower for term in ["gemini", "google_api"]):
+                cleaned = v.strip().strip('"').strip("'").strip()
+                if len(cleaned) > 10 and not cleaned.startswith("hf_"):
+                    return cleaned
+
+        # 3. Explicit aliases (including exact names like Gemini_API from Hugging Face Space secrets)
         for var_name in [
+            "Gemini_API",
+            "GEMINI_API",
             "GEMINI_API_KEY",
             "GOOGLE_API_KEY",
             "GEMINI_KEY",
             "gemini_api_key",
             "google_api_key",
             "gemini_key",
-            "API_KEY"
+            "API_KEY",
         ]:
             val = os.getenv(var_name)
             if val:
                 cleaned = val.strip().strip('"').strip("'").strip()
-                if len(cleaned) > 10:
+                if len(cleaned) > 10 and not cleaned.startswith("hf_"):
                     return cleaned
 
         cfg_key = getattr(settings, "gemini_api_key", None)
         if cfg_key:
             cleaned = cfg_key.strip().strip('"').strip("'").strip()
-            if len(cleaned) > 10:
+            if len(cleaned) > 10 and not cleaned.startswith("hf_"):
                 return cleaned
 
         return None
@@ -246,7 +269,7 @@ class PureGeminiInferenceEngine:
                         {
                             "text": (
                                 f"{AGRONOMIC_SYSTEM_PROMPT}\n\n"
-                                f"MULTI-PLATFORM AGRONOMIC GROUNDING CONTEXT (Gemini 3.8 Flash Vision):\n"
+                                f"MULTI-PLATFORM AGRONOMIC GROUNDING CONTEXT (Gemini Vision):\n"
                                 f"- Grounded on 196,000+ benchmark image samples across Hugging Face (Project-AgML India, PlantDoc In-The-Wild, Jharkhand Plateau), ICAR-CRRI Cuttack, and IGKV Raipur registries.\n"
                                 f"- Evaluate foliar symptoms and pest injuries against these verified Indian agro-climatic standards.\n"
                             )
@@ -263,10 +286,7 @@ class PureGeminiInferenceEngine:
             "generationConfig": {
                 "temperature": 0.2,
                 "maxOutputTokens": 2048,
-                "responseMimeType": "application/json",
-                "thinkingConfig": {
-                    "thinkingBudget": 0
-                }
+                "responseMimeType": "application/json"
             }
         }