Add trace-based evaluation in agent evaluation metrics to get correct score (#478)

* Add trace-based evaluation in agent evaluation metrics to get correct score

* check reason is provided

* remove credentials

* fix the failure due to dependency

* fix the failure due to dependency

* fix scorecardpy version to 0.1.9.6

* fix copyright

Author: AnilSorathiya

notebooks/code_sharing/operational_deposit/operational_deposit_poc.ipynb

@@ -1132,6 +1132,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "copyright-e2f10038a74449cba590e46511b2368c",
    "metadata": {},
    "source": [
     "<!-- VALIDMIND COPYRIGHT -->\n",

notebooks/how_to/data_and_datasets/use_dataset_model_objects.ipynb

@@ -960,6 +960,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "copyright-75cfc55507924d27b0d37b140c473293",
    "metadata": {},
    "source": [
     "<!-- VALIDMIND COPYRIGHT -->\n",

notebooks/how_to/tests/explore_tests/explore_test_suites.ipynb

@@ -1205,6 +1205,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "copyright-b55920b2495443d1894125f60e582bb4",
    "metadata": {},
    "source": [
     "<!-- VALIDMIND COPYRIGHT -->\n",

notebooks/how_to/tests/explore_tests/explore_tests.ipynb

@@ -1,6 +1,7 @@
 from typing import Optional
 from datetime import datetime
 from langchain.tools import tool
+from deepeval.tracing import observe
 
 
 def _score_dti_ratio(dti_ratio: float) -> int:
@@ -79,6 +80,7 @@ def _get_credit_description(credit_score: int) -> str:
 
 # Credit Risk Analyzer Tool
 @tool
+@observe(type="tool")
 def credit_risk_analyzer(
     customer_income: float,
     customer_debt: float,
@@ -279,8 +281,8 @@ def _handle_recommend_product(customer):
 
 def _handle_get_info(customer, customer_id):
     """Handle get info action."""
-    credit_tier = ('Excellent' if customer['credit_score'] >= 750 else
-                   'Good' if customer['credit_score'] >= 700 else
+    credit_tier = ('Excellent' if customer['credit_score'] >= 750 else 
+                   'Good' if customer['credit_score'] >= 700 else 
                    'Fair' if customer['credit_score'] >= 650 else 'Poor')
 
     return f"""CUSTOMER ACCOUNT INFORMATION
@@ -308,6 +310,7 @@ def _handle_get_info(customer, customer_id):
 
 # Customer Account Manager Tool
 @tool
+@observe(type="tool")
 def customer_account_manager(
     account_type: str,
     customer_id: str,
@@ -362,6 +365,7 @@ def customer_account_manager(
 
 # Fraud Detection System Tool
 @tool
+@observe(type="tool")
 def fraud_detection_system(
     transaction_id: str,
     customer_id: str,