updated jung prompt

agents/jung_agent.py

@@ -32,7 +32,9 @@ def jung_agent(state):
     #context = retrieve("jung", user_input)
     context = build_context("jung", user_input)
     
-    print("\n📚 RETRIEVED CONTEXT:\n", context[:500])
+    #print("\n📚 RETRIEVED CONTEXT:\n", context[:500])
+    #print(f"\n📚 RETRIEVED CONTEXT ({len(context)}):\n{context[:500]}")
+    print(f"\n📚 RETRIEVED CONTEXT ({len(context)}):\n{context}")
     
     """
     # trigger web search only when agent has no info from pre-trained daa
@@ -264,6 +266,7 @@ def jung_agent(state):
 
     ### Self-evaluation ###
     - Ensure you've based your responses on the provided JUNGIAN KNOWLEDGE -> {context}
+    - Be careful to not include your paraphrasing or meta-talk about your understanding of the context in your response; rather
     - Self-evaluate and refine your final response by going through, and cross-checking your final response using, all the above instructions at least once
     
 

core/llm_client.py

@@ -20,7 +20,7 @@ GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 if not GROQ_API_KEY:
     raise ValueError("❌ GROQ_API_KEY not set in environment variables")
 """
-HF_TOKEN = os.getenv("HF_TOKEN")
+HF_TOKEN = os.getenv("HF_WR")
 
 if not HF_TOKEN:
     raise ValueError("❌ HF_TOKEN not set in environment variables")