Strict field for FC in completions

examples/async/function_calling/completions/raw_tool_calls_processing.py

@@ -59,7 +59,8 @@ async def main() -> None:
                 }
             },
             "required": ["expression"],
-        }
+        },
+        strict=True,
     )
 
     # it is imported inside only because yandex-cloud-ml-sdk does not require pydantic by default
@@ -78,7 +79,7 @@ class Weather(BaseModel):
     # be inferred from pydantic model
     weather_tool = sdk.tools.function(Weather)
 
-    model = sdk.models.completions('yandexgpt')
+    model = sdk.models.completions('yandexgpt', model_version='rc')
 
     # tools must be bound to model object via .configure method and would be used in all
     # model calls from this model object.

examples/sync/function_calling/completions/raw_tool_calls_processing.py

@@ -57,7 +57,8 @@ def main() -> None:
                 }
             },
             "required": ["expression"],
-        }
+        },
+        strict=True,
     )
 
     # it is imported inside only because yandex-cloud-ml-sdk does not require pydantic by default
@@ -76,7 +77,7 @@ class Weather(BaseModel):
     # be inferred from pydantic model
     weather_tool = sdk.tools.function(Weather)
 
-    model = sdk.models.completions('yandexgpt')
+    model = sdk.models.completions('yandexgpt', model_version='rc')
 
     # tools must be bound to model object via .configure method and would be used in all
     # model calls from this model object.

pyproject.toml

@@ -33,7 +33,7 @@ classifiers = [
 requires-python = ">=3.9"
 dynamic = ["version"]
 dependencies = [
-    "yandexcloud>=0.343.0",
+    "yandexcloud>=0.350.0",
     "grpcio>=1.70.0",
     "get-annotations",
     "httpx>=0.27,<1",

src/yandex_cloud_ml_sdk/_tools/function.py

@@ -19,6 +19,7 @@ def __call__(
         *,
         name: UndefinedOr[str] = UNDEFINED,
         description: UndefinedOr[str] = UNDEFINED,
+        strict: UndefinedOr[bool] = UNDEFINED,
     ) -> FunctionTool:
         schema = schema_from_parameters(parameters)
         description_ = (
@@ -29,6 +30,7 @@ def __call__(
             get_defined_value(name, None) or
             cast(Optional[str], schema.get('title'))
         )
+        strict_: bool | None = get_defined_value(strict, None)
 
         if not name_:
             raise TypeError(
@@ -39,7 +41,8 @@ def __call__(
         return FunctionTool(
             parameters=schema,
             name=name_,
-            description=description_
+            description=description_,
+            strict=strict_,
         )
 
 

src/yandex_cloud_ml_sdk/_tools/tool.py

@@ -103,6 +103,7 @@ class FunctionTool(BaseTool):
     name: str
     description: str | None
     parameters: JsonSchemaType
+    strict: bool | None
 
     @classmethod
     def _from_proto(
@@ -111,10 +112,16 @@ def _from_proto(
         sdk: BaseSDK
     ) -> FunctionTool:
         parameters = MessageToDict(proto.parameters)
+
+        strict: bool | None = None
+        if hasattr(proto, 'strict'):
+            strict = proto.strict
+
         return cls(
             name=proto.name,
             description=proto.description,
             parameters=parameters,
+            strict=strict,
         )
 
     def _to_proto(self, proto_type: type[ProtoToolTypeT]) -> ProtoToolTypeT:
@@ -126,10 +133,25 @@ def _to_proto(self, proto_type: type[ProtoToolTypeT]) -> ProtoToolTypeT:
             ProtoCompletionsTool: ProtoCompletionsFunctionTool,
         }[proto_type]
 
+        additional_kwargs = {}
+        # TODO: remove this logic after strict would be supported in assistants
+        if self.strict is not None:
+            strict_field_present = 'strict' in {
+                field.name
+                for field in function_class.DESCRIPTOR.fields  # type: ignore[attr-defined]
+            }
+            if strict_field_present:
+                additional_kwargs['strict'] = self.strict
+            else:
+                raise ValueError(
+                    '"strict" field is not supported in sdk.assistants yet, only in sdk.models.completions'
+                )
+
         function = function_class(
             name=self.name,
             description=self.description or '',
-            parameters=parameters
+            parameters=parameters,
+            **additional_kwargs,
         )
 
         # i dunno how to properly describe this type of polymorphism to mypy

tests/tools/test_function.py

@@ -1,9 +1,11 @@
-# pylint: disable=import-outside-toplevel
+# pylint: disable=import-outside-toplevel,no-name-in-module
 from __future__ import annotations
 
 import dataclasses
 
 import pytest
+from yandex.cloud.ai.assistants.v1.common_pb2 import Tool as ProtoAssistantsTool
+from yandex.cloud.ai.foundation_models.v1.text_common_pb2 import Tool as ProtoCompletionsTool
 
 from yandex_cloud_ml_sdk import AsyncYCloudML
 from yandex_cloud_ml_sdk._tools.function import ParametersType
@@ -29,7 +31,8 @@ def test_pydantic_model_function_tool(async_sdk: AsyncYCloudML) -> None:
             "required": ["field"],
             "title": 'Function',
             "description": 'function description'
-        }
+        },
+        strict=None,
     )
 
     description: str = (
@@ -69,7 +72,8 @@ def test_pydantic_dataclass_function_tool(async_sdk: AsyncYCloudML) -> None:
             "required": ["field"],
             "title": 'Function',
             "description": 'function description'
-        }
+        },
+        strict=None,
     )
 
     description: str = (
@@ -109,7 +113,8 @@ def test_raw_json_function_tool(async_sdk: AsyncYCloudML) -> None:
                 },
             },
             "required": ["field"],
-        }
+        },
+        strict=None,
     )
 
     parameters = dict(etalon.parameters)
@@ -144,3 +149,20 @@ def test_bad_types(async_sdk: AsyncYCloudML) -> None:
 
     with pytest.raises(TypeError):
         async_sdk.tools.function([], name='foo')  # type: ignore[arg-type]
+
+
+def test_strict(async_sdk: AsyncYCloudML) -> None:
+    tool = async_sdk.tools.function({}, name='foo')
+
+    assistant_proto = tool._to_proto(ProtoAssistantsTool)
+    assert not hasattr(assistant_proto.function, 'strict')
+
+    assert tool._to_proto(ProtoCompletionsTool).function.strict is False
+
+    for strict in (True, False):
+        tool = async_sdk.tools.function({}, name='foo', strict=strict)
+        proto = tool._to_proto(ProtoCompletionsTool)
+        assert proto.function.strict is strict
+
+        with pytest.raises(ValueError, match='"strict" field is not supported'):
+            tool._to_proto(ProtoAssistantsTool)