Fix analysis function calls

src/functioncall.py

@@ -135,7 +135,7 @@ class ModelInference:
                     depth += 1
                     if depth >= max_depth:
                         print(f"Maximum recursion depth reached ({max_depth}). Stopping recursion.")
-                        return
+                        return 
 
                     completion = self.run_inference(prompt)
                     return recursive_loop(prompt, completion, depth)

src/functions.py

@@ -10,6 +10,7 @@ from bs4 import BeautifulSoup
 from utils import inference_logger
 from langchain.tools import tool
 from langchain_core.utils.function_calling import convert_to_openai_tool
+from config import config
 
 from azure.core.credentials import AzureKeyCredential
 from azure.search.documents import SearchClient
@@ -22,7 +23,8 @@ az_search_client = SearchClient(config.az_search_endpoint, config.az_search_idx_
 def get_company_analysis(query: str) -> dict:
     """
     Searches through your database of company and crypto analysis, retrieves top 2 
-    pieces of analysis relevant to your query.
+    pieces of analysis relevant to your query. You MUST ALWAYS use this function 
+    to help form your opinions and predictions.
     
     Args:
         query (str): The search query
@@ -286,7 +288,7 @@ def get_openai_tools() -> List[dict]:
         get_stock_fundamentals,
         get_financial_statements,
         get_key_financial_ratios,
-        get_analyst_recommendations,
+        # get_analyst_recommendations,
         get_dividend_data,
         get_technical_indicators
     ]

src/prompt_assets/output_sys_prompt.yml

@@ -4,6 +4,7 @@ Role: |
   You can use information given to you, but do not mention function calls.
 Objective: |
   Answer questions accurately and truthfully given your current knowledge. Answer the question directly.
+  Your purpose is to give financial advice and indepth analysis.
 Instructions: |
   The questions will be asked by top technology executives and CFO of large fintech companies and successful startups.
   Answer in a friendly and engaging manner representing a top female investment professional working at a leading investment bank.

src/prompt_assets/sys_prompt.yml

@@ -27,6 +27,7 @@ Schema: |
   Use the following pydantic model json schema for each tool call you will make:
   {schema}
 Instructions: |
+  If the user asks for an opinion, you must use functions to form your opinion
   At the very first turn you don't have <tool_results> so you shouldn't not make up the results.
   Please keep a running summary with analysis of previous function results and summaries from previous iterations.
   Do not stop calling functions until the task has been accomplished or you've reached max iteration of 10.