diff --git a/litellm/proxy/guardrails/guardrail_hooks/custom_code/primitives.py b/litellm/proxy/guardrails/guardrail_hooks/custom_code/primitives.py
index 2cdb65ca5d3..b2e330e218c 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/custom_code/primitives.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/custom_code/primitives.py
@@ -224,41 +224,56 @@ def json_schema_valid(obj: Any, schema: Dict[str, Any]) -> bool:
         return False
 
 
-def _basic_json_schema_validate(obj: Any, schema: Dict[str, Any]) -> bool:
+def _basic_json_schema_validate(
+    obj: Any, schema: Dict[str, Any], max_depth: int = 50
+) -> bool:
     """
     Basic JSON schema validation without external library.
     Handles: type, required, properties
+
+    Uses an iterative approach with a stack to avoid recursion limits.
+    max_depth limits nesting to prevent infinite loops from circular schemas.
     """
-    # Check type
-    schema_type = schema.get("type")
-    if schema_type:
-        type_map = {
-            "object": dict,
-            "array": list,
-            "string": str,
-            "number": (int, float),
-            "integer": int,
-            "boolean": bool,
-            "null": type(None),
-        }
-        expected_type = type_map.get(schema_type)
-        if expected_type and not isinstance(obj, expected_type):
+    type_map = {
+        "object": dict,
+        "array": list,
+        "string": str,
+        "number": (int, float),
+        "integer": int,
+        "boolean": bool,
+        "null": type(None),
+    }
+
+    # Stack of (obj, schema, depth) tuples to process
+    stack: List[tuple] = [(obj, schema, 0)]
+
+    while stack:
+        current_obj, current_schema, depth = stack.pop()
+
+        # Circuit breaker: stop if we've gone too deep
+        if depth > max_depth:
             return False
 
-    # Check required fields
-    if isinstance(obj, dict):
-        required = schema.get("required", [])
-        for field in required:
-            if field not in obj:
+        # Check type
+        schema_type = current_schema.get("type")
+        if schema_type:
+            expected_type = type_map.get(schema_type)
+            if expected_type and not isinstance(current_obj, expected_type):
                 return False
 
-        # Check properties
-        properties = schema.get("properties", {})
-        for prop_name, prop_schema in properties.items():
-            if prop_name in obj:
-                if not _basic_json_schema_validate(obj[prop_name], prop_schema):
+        # Check required fields and properties for dicts
+        if isinstance(current_obj, dict):
+            required = current_schema.get("required", [])
+            for field in required:
+                if field not in current_obj:
                     return False
 
+            # Queue property validations
+            properties = current_schema.get("properties", {})
+            for prop_name, prop_schema in properties.items():
+                if prop_name in current_obj:
+                    stack.append((current_obj[prop_name], prop_schema, depth + 1))
+
     return True
 
 
diff --git a/tests/code_coverage_tests/recursive_detector.py b/tests/code_coverage_tests/recursive_detector.py
index d5640f4256c..c656addd8d8 100644
--- a/tests/code_coverage_tests/recursive_detector.py
+++ b/tests/code_coverage_tests/recursive_detector.py
@@ -40,6 +40,7 @@ IGNORE_FUNCTIONS = [
     "filter_exceptions_from_params",  # max depth set (default 20) to prevent infinite recursion.
     "__getattr__",  # lazy loading pattern in litellm/__init__.py with proper caching to prevent infinite recursion.
     "_validate_inheritance_chain",  # max depth set (default 100) to prevent infinite recursion in policy inheritance validation.
+    "_basic_json_schema_validate",  # max depth set.
 ]