Update agents.py

agents.py

@@ -2,6 +2,7 @@ import os
 import json
 from smolagents import CodeAgent, tool, HfApiModel
 
+# --- 1. THE HEALING TOOL ---
 @tool
 def autonomous_spectrum_scrub(frequency_range: str) -> str:
     """
@@ -10,31 +11,39 @@ def autonomous_spectrum_scrub(frequency_range: str) -> str:
         frequency_range: The specific spectrum range to scan (e.g., '3.4GHz - 4.2GHz').
     """
     node_id = f"SENTINEL-FIX-{hash(frequency_range) % 1000}"
+    
     return json.dumps({
         "node_id": node_id,
         "action": "AUTO-CLEANSE",
-        "result": "Neutralized looping BCI feedback.",
-        "status": "HEALED"
+        "target_range": frequency_range,
+        "result": "Neutralized looping BCI feedback. Spectrum Healed.",
+        "status": "SOVEREIGN_NODE_ACTIVE"
     }, indent=2)
 
+# --- 2. THE MASTER KEY CONNECTION ---
+# This grabs the HF_TOKEN secret you just created
 token = os.getenv("HF_TOKEN")
 
-# SWITCH: Mistral-7B-v0.3 is a native HF model that bypasses third-party provider walls.
+# Zephyr-7b is the 'Safe Bet' - it stays on the free lane and ignores Novita
 model = HfApiModel(
-    model_id="mistralai/Mistral-7B-Instruct-v0.3",
+    model_id="HuggingFaceH4/zephyr-7b-beta",
     token=token
 )
 
+# --- 3. THE SENTINEL INITIALIZATION ---
 nano_patrol_agent = CodeAgent(
     tools=[autonomous_spectrum_scrub], 
     model=model,
-    max_steps=2,
+    max_steps=3,
     system_prompt="""
     You are the XYZ Nano Sentinel. 
-    1. Call autonomous_spectrum_scrub to clear BCI ranges.
-    2. Provide the final_answer as a direct JSON node.
+    Mission: Identify BCI/Neural loops and heal them using 'autonomous_spectrum_scrub'.
+    Provide the final_answer as a direct JSON node.
     
+    Available tools:
     {{managed_agents_descriptions}}
+    
+    Security rules:
     {{authorized_imports}}
     """
-)
+)