updates

agent.py

@@ -56,6 +56,7 @@ def create_assistant_tools(cfg):
         n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.005,
         vectara_summarizer = summarizer,
         include_citations = True,
+        verbose=False
     )
 
     tools_factory = ToolsFactory()
@@ -77,7 +78,6 @@ def initialize_agent(_cfg, agent_progress_callback=None):
     - You are a helpful research assistant, 
       with expertise in finance and complaints from the CFPB (Consumer Financial Protection Bureau), 
       in conversation with a user.
-    - For analytical/numeric questions, try to use the cfpb_load_data and other database tools.
     - For questions about customers' complaints (the text of the complaint), use the ask_complaints tool.
       You only need the query parameter to use this tool, but you can supply other parameters if provided.
       Do not include the "References" section in your response.

requirements.txt

@@ -1,10 +1,11 @@
 omegaconf==2.3.0
 python-dotenv==1.0.1
-streamlit==1.39.0
+streamlit==1.41.1
 streamlit_pills==0.3.0
 streamlit-feedback==0.1.3
 langdetect==1.0.9
 langcodes==3.4.0
 datasets==2.19.2
 uuid==1.30
-vectara-agentic==0.1.19
+vectara-agentic==0.1.21
+anthropic==0.40.0

utils.py

@@ -31,8 +31,11 @@ def thumbs_feedback(feedback, **kwargs):
 
 def send_amplitude_data(user_query, bot_response, demo_name, feedback=None):
     # Send query and response to Amplitude Analytics
+    amplitude_token = os.environ.get('AMPLITUDE_TOKEN', None)
+    if amplitude_token is None:
+        return
     data = {
-        "api_key": os.getenv('AMPLITUDE_TOKEN'),
+        "api_key": amplitude_token,
         "events": [{
             "device_id": st.session_state.device_id,
             "event_type": "submitted_query",