fix: relax top-level title/description requirement for converting JSON schema to OpenAI function

libs/core/langchain_core/utils/function_calling.py

@@ -295,14 +295,12 @@ def convert_to_openai_function(
         k in function for k in ("name", "description", "parameters")
     ):
         return function
-    # a JSON schema with title and description
-    elif isinstance(function, dict) and all(
-        k in function for k in ("title", "description", "properties")
-    ):
+    # a JSON schema
+    elif isinstance(function, dict) and "properties" in function:
         function = function.copy()
         return {
-            "name": function.pop("title"),
-            "description": function.pop("description"),
+            "name": function.pop("title", "extract"),
+            "description": function.pop("description", ""),
             "parameters": function,
         }
     elif isinstance(function, type) and issubclass(function, BaseModel):
@@ -315,8 +313,7 @@ def convert_to_openai_function(
         raise ValueError(
             f"Unsupported function\n\n{function}\n\nFunctions must be passed in"
             " as Dict, pydantic.BaseModel, or Callable. If they're a dict they must"
-            " either be in OpenAI function format or valid JSON schema with top-level"
-            " 'title' and 'description' keys."
+            " either be in OpenAI function format or valid JSON schema"
         )
 
 

libs/core/tests/unit_tests/utils/test_function_calling.py

@@ -71,6 +71,21 @@ def json_schema() -> Dict:
     }
 
 
+@pytest.fixture()
+def json_schema_lax() -> Dict:
+    return {
+        "type": "object",
+        "properties": {
+            "arg1": {"description": "foo", "type": "integer"},
+            "arg2": {
+                "description": "one of 'bar', 'baz'",
+                "enum": ["bar", "baz"],
+                "type": "string",
+            },
+        },
+    }
+
+
 def test_convert_to_openai_function(
     pydantic: Type[BaseModel],
     function: Callable,
@@ -99,6 +114,26 @@ def test_convert_to_openai_function(
         assert actual == expected
 
 
+def test_convert_lax_jsonschema_to_openai_function(json_schema_lax: Dict) -> None:
+    expected = {
+        "name": "extract",
+        "description": "",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "arg1": {"description": "foo", "type": "integer"},
+                "arg2": {
+                    "description": "one of 'bar', 'baz'",
+                    "enum": ["bar", "baz"],
+                    "type": "string",
+                },
+            },
+        },
+    }
+
+    assert convert_to_openai_function(json_schema_lax) == expected
+
+
 @pytest.mark.xfail(reason="Pydantic converts Optional[str] to str in .schema()")
 def test_function_optional_param() -> None:
     @tool