updated to v0.2.0

agent.py

@@ -29,8 +29,7 @@ def create_assistant_tools(cfg):
 
     vec_factory = VectaraToolFactory(
         vectara_api_key=cfg.api_keys,
-        vectara_customer_id=cfg.customer_id,
-        vectara_corpus_id=cfg.corpus_ids
+        vectara_corpus_key=cfg.corpus_keys
     )
     
     summarizer = 'vectara-experimental-summary-ext-2023-12-11-med-omni'
@@ -96,8 +95,7 @@ def initialize_agent(_cfg, agent_progress_callback=None):
 
 def get_agent_config() -> OmegaConf:
     cfg = OmegaConf.create({
-        'customer_id': str(os.environ['VECTARA_CUSTOMER_ID']),
-        'corpus_ids': str(os.environ['VECTARA_CORPUS_IDS']),
+        'corpus_keys': str(os.environ['VECTARA_CORPUS_KEYS']),
         'api_keys': str(os.environ['VECTARA_API_KEYS']),
         'examples': os.environ.get('QUERY_EXAMPLES', None),
         'demo_name': "cfpb-assistant",

requirements.txt

@@ -7,4 +7,4 @@ langdetect==1.0.9
 langcodes==3.4.0
 datasets==2.19.2
 uuid==1.30
-vectara-agentic==0.1.22
+vectara-agentic==0.2.0

st_app.py

@@ -132,8 +132,8 @@ async def launch_bot():
     if st.session_state.prompt:
         with st.chat_message("assistant", avatar='🤖'):
             st.session_state.status = st.status('Processing...', expanded=False)
-            res = st.session_state.agent.chat(st.session_state.prompt)
-            res = escape_dollars_outside_latex(res)
+            response = st.session_state.agent.chat(st.session_state.prompt)
+            res = escape_dollars_outside_latex(response.response)
             message = {"role": "assistant", "content": res, "avatar": '🤖'}
             st.session_state.messages.append(message)
             st.markdown(res)