Update config.py

config.py

@@ -4,16 +4,22 @@
 # --- 1. MODEL CONFIGURATION ---
 MODELS = {
     "Gemini": {
-        "default": "gemini-2.0-flash",
+        "default": "gemini-2.0-flash", # 1M Context
         "judge": "gemini-2.0-flash",
         "classifier": "gemini-2.0-flash",
         "manager": "gemini-2.0-flash"
     },
     "Anthropic": {
-        "default": "claude-3-5-haiku-20241022" 
+        "default": "claude-3-5-haiku-20241022" # 200K Context
     },
     "SambaNova": {
-        "default": "Llama-4-Maverick-17B-128E-Instruct"
+        "default": "Llama-4-Maverick-17B-128E-Instruct" # 512K Context (Hackathon Special)
+    },
+    "OpenAI": {
+        "default": "gpt-4o-mini" # 128K Context (Very cost effective)
+    },
+    "Nebius": {
+        "default": "meta-llama/Meta-Llama-3.1-70B-Instruct" # 128K Context (Open Source Powerhouse)
     }
 }
 
@@ -21,7 +27,9 @@ MODELS = {
 PRICING = {
     "Gemini":     {"input": 0.10, "output": 0.40},
     "Anthropic":  {"input": 0.25, "output": 1.25},
-    "SambaNova":  {"input": 0.00, "output": 0.00}
+    "SambaNova":  {"input": 0.00, "output": 0.00}, # Assuming free tier
+    "OpenAI":     {"input": 0.15, "output": 0.60}, # gpt-4o-mini pricing
+    "Nebius":     {"input": 0.20, "output": 0.80}  # Approximate Llama 70B hosting cost
 }
 
 # --- 3. CALIBRATION CONFIGURATION ---
@@ -39,7 +47,6 @@ CALIBRATION_CONFIG = {
 }
 
 # --- 4. PROMPT FILE PATHS ---
-# Updated: Explicitly point to the 'prompts/' directory for the evaluator
 PROMPT_FILES = {
     "evaluator": "prompts/evaluator_judge.txt",
     "classifier": "prompts/classifier.txt",