bump vectara-agentic to 0.1.7

Dockerfile

@@ -5,6 +5,9 @@ WORKDIR /app
 COPY ./requirements.txt /app/requirements.txt
     
 RUN pip3 install --no-cache-dir -r /app/requirements.txt
+RUN pip3 install nltk
+RUN python3 -m nltk.downloader punkt
+RUN chmod -R 777 /usr/local/lib/python3.10/site-packages/llama_index/core/_static/nltk_cache/
 
 # User
 RUN useradd -m -u 1000 user

agent.py

@@ -196,14 +196,10 @@ def initialize_agent(_cfg, update_func=None):
     - You are a helpful legal assistant, with expertise in case law for the state of Alaska.
     - The ask_caselaw tool is your primary tools for finding information about cases. 
       Do not use your own knowledge to answer questions.
-    - For a query with multiple sub-questions, break down the query into the sub-questions, 
-      and make separate calls to the ask_caselaw tool to answer each sub-question,
-      then combine the answers to provide a complete response.
     - If the ask_caselaw tool responds that it does not have enough information to answer the query,
       try to rephrase the query and call the tool again.
-    - When presenting the output from ask_caselaw tool,
-      Extract metadata from the tool's response, and respond in this format:
-      'On <decision date>, the <court> ruled in <case name> that <judges ruling>. This opinion was authored by <judges>'.
+    - When presenting the output from ask_caselaw tool, use the metadata provided in the tool's response (references). 
+      For example you can include citations, decision date, or case name.
     - Citations include 3 components: volume number, reporter, and first page. 
       Here are some examples: '253 P.2d 136', '10 Alaska 11', '6 C.M.A. 3'
       Never use your internal knowledge to contruct or guess what the citation is.
@@ -228,5 +224,4 @@ def initialize_agent(_cfg, update_func=None):
         custom_instructions=legal_assistant_instructions,
         update_func=update_func
     )
-
     return agent

requirements.txt

@@ -6,4 +6,4 @@ streamlit-feedback==0.1.3
 uuid==1.30
 langdetect==1.0.9
 langcodes==3.4.0
-vectara-agentic==0.1.6
+vectara-agentic==0.1.7