model update

Author: reckt32

app.py

@@ -799,7 +799,7 @@ def extract_bank_statement_hybrid(text, transactions_payload=None, save_json_pat
 
     try:
         response = client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5.2",
             messages=[
                 {"role": "system", "content": "You are a financial analyst expert at extracting structured data from Indian bank statements. All monetary values are in Indian Rupees (INR). Return valid JSON only."},
                 {"role": "user", "content": llm_prompt}
@@ -968,7 +968,7 @@ def extract_itr_hybrid(text):
 
     try:
         response = client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5.2",
             messages=[
                 {"role": "system", "content": "You are a tax expert analyzing Indian ITR documents. All monetary values are in Indian Rupees (INR). Extract all financial data accurately. Return valid JSON only."},
                 {"role": "user", "content": llm_prompt}
@@ -1249,7 +1249,7 @@ def _parse_indian_amount(num_str, suffix_str=""):
 
     try:
         response = client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5.2",
             messages=[
                 {"role": "system", "content": "You are an insurance expert analyzing Indian insurance policies. All monetary values are in Indian Rupees (INR). Extract all details accurately based on the insurance type. Return valid JSON only."},
                 {"role": "user", "content": llm_prompt}
@@ -1351,7 +1351,7 @@ def extract_mutual_fund_cas_hybrid(text):
 
     try:
         response = client.chat.completions.create(
-            model="gpt-4o",
+            model="gpt-5.2",
             messages=[
                 {"role": "system", "content": "You are a mutual fund analysis expert for Indian markets. All monetary values are in Indian Rupees (INR). Extract structured data into a valid JSON format."},
                 {"role": "user", "content": llm_prompt}

llm_sections.py

@@ -40,7 +40,7 @@
 
 OUTPUT_DIR = os.getenv("OUTPUT_DIR", "output")
 SECTIONS_DIR_NAME = "sections"
-DEFAULT_MODEL = os.getenv("LLM_MODEL", "gpt-4o")
+DEFAULT_MODEL = os.getenv("LLM_MODEL", "gpt-5.2")
 
 # ------------------------ Financial Assumptions (Configurable) ------------------------ #
 # These assumptions are used for SIP calculations and are displayed in reports