feat: Use json schema for function tool declaration when feature enabled

Co-authored-by: Xuan Yang <xygoogle@google.com>
PiperOrigin-RevId: 843350330
This commit is contained in:
Xuan Yang
2025-12-11 13:24:07 -08:00
committed by Copybara-Service
parent 894d8c6c26
commit cb3244bb58
2 changed files with 260 additions and 6 deletions
@@ -30,6 +30,9 @@ from pydantic import create_model
from pydantic import fields as pydantic_fields
from . import _function_parameter_parse_util
from . import _function_tool_declarations
from ..features import FeatureName
from ..features import is_feature_enabled
from ..utils.variant_utils import GoogleLLMVariant
_py_type_2_schema_type = {
@@ -196,6 +199,20 @@ def build_function_declaration(
ignore_params: Optional[list[str]] = None,
variant: GoogleLLMVariant = GoogleLLMVariant.GEMINI_API,
) -> types.FunctionDeclaration:
# ========== Pydantic-based function tool declaration (new feature) ==========
if is_feature_enabled(FeatureName.JSON_SCHEMA_FOR_FUNC_DECL):
declaration = (
_function_tool_declarations.build_function_declaration_with_json_schema(
func, ignore_params=ignore_params
)
)
# Add response schema only for VERTEX_AI
# TODO(b/421991354): Remove this check once the bug is fixed.
if variant != GoogleLLMVariant.VERTEX_AI:
declaration.response_json_schema = None
return declaration
# ========== ADK defined function tool declaration (old behavior) ==========
signature = inspect.signature(func)
should_update_signature = False
new_func = None
@@ -13,9 +13,9 @@
# limitations under the License.
from enum import Enum
from typing import Dict
from typing import List
from unittest import mock
from google.adk.features import FeatureName
from google.adk.tools import _automatic_function_calling_util
from google.adk.tools.tool_context import ToolContext
from google.adk.utils.variant_utils import GoogleLLMVariant
@@ -79,7 +79,7 @@ def test_bool_input():
def test_array_input():
def simple_function(input_str: List[str]) -> str:
def simple_function(input_str: list[str]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
@@ -92,7 +92,7 @@ def test_array_input():
def test_dict_input():
def simple_function(input_str: Dict[str, str]) -> str:
def simple_function(input_str: dict[str, str]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
@@ -206,7 +206,7 @@ def test_basemodel_with_nested_basemodel():
def test_list():
def simple_function(
input_str: List[str], input_dir: List[Dict[str, str]]
input_str: list[str], input_dir: list[dict[str, str]]
) -> str:
return {'result': input_str}
@@ -257,7 +257,7 @@ def test_basemodel_list():
class CustomInput(BaseModel):
child: ChildInput
def simple_function(input_str: List[CustomInput]) -> str:
def simple_function(input_str: list[CustomInput]) -> str:
return {'result': input_str}
function_decl = _automatic_function_calling_util.build_function_declaration(
@@ -427,3 +427,240 @@ def test_transfer_to_agent_tool_with_enum_constraint():
assert function_decl.parameters.properties['agent_name'].type == 'STRING'
assert function_decl.parameters.properties['agent_name'].enum == agent_names
assert 'tool_context' not in function_decl.parameters.properties
class TestJsonSchemaFeatureFlagEnabled:
"""Tests for build_function_declaration when JSON_SCHEMA_FOR_FUNC_DECL is enabled."""
@pytest.fixture(autouse=True)
def enable_feature_flag(self):
"""Enable the JSON_SCHEMA_FOR_FUNC_DECL feature flag for all tests."""
with mock.patch.object(
_automatic_function_calling_util,
'is_feature_enabled',
autospec=True,
side_effect=lambda f: f == FeatureName.JSON_SCHEMA_FOR_FUNC_DECL,
):
yield
def test_basic_string_parameter(self):
"""Test basic string parameter with feature flag enabled."""
def greet(name: str) -> str:
"""Greet someone."""
return f'Hello, {name}!'
decl = _automatic_function_calling_util.build_function_declaration(greet)
assert decl.name == 'greet'
assert decl.description == 'Greet someone.'
assert decl.parameters_json_schema == {
'properties': {'name': {'title': 'Name', 'type': 'string'}},
'required': ['name'],
'title': 'greetParams',
'type': 'object',
}
def test_multiple_parameter_types(self):
"""Test multiple parameter types with feature flag enabled."""
def create_user(name: str, age: int, active: bool) -> str:
"""Create a new user."""
return f'Created {name}'
decl = _automatic_function_calling_util.build_function_declaration(
create_user
)
schema = decl.parameters_json_schema
assert schema['properties'] == {
'name': {'title': 'Name', 'type': 'string'},
'age': {'title': 'Age', 'type': 'integer'},
'active': {'title': 'Active', 'type': 'boolean'},
}
assert set(schema['required']) == {'name', 'age', 'active'}
def test_list_parameter(self):
"""Test list parameter with feature flag enabled."""
def sum_numbers(numbers: list[int]) -> int:
"""Sum a list of numbers."""
return sum(numbers)
decl = _automatic_function_calling_util.build_function_declaration(
sum_numbers
)
schema = decl.parameters_json_schema
assert schema['properties']['numbers'] == {
'items': {'type': 'integer'},
'title': 'Numbers',
'type': 'array',
}
def test_dict_parameter(self):
"""Test dict parameter with feature flag enabled."""
def process_data(data: dict[str, str]) -> str:
"""Process a dictionary."""
return str(data)
decl = _automatic_function_calling_util.build_function_declaration(
process_data
)
schema = decl.parameters_json_schema
assert schema['properties']['data'] == {
'additionalProperties': {'type': 'string'},
'title': 'Data',
'type': 'object',
}
def test_optional_parameter(self):
"""Test optional parameter with feature flag enabled."""
def search(query: str, limit: int | None = None) -> str:
"""Search for something."""
return query
decl = _automatic_function_calling_util.build_function_declaration(search)
schema = decl.parameters_json_schema
assert schema['required'] == ['query']
assert 'query' in schema['properties']
assert 'limit' in schema['properties']
def test_enum_parameter(self):
"""Test enum parameter with feature flag enabled."""
class Color(Enum):
RED = 'red'
GREEN = 'green'
BLUE = 'blue'
def set_color(color: Color) -> str:
"""Set the color."""
return color.value
decl = _automatic_function_calling_util.build_function_declaration(
set_color
)
schema = decl.parameters_json_schema
assert schema['properties']['color'] == {
'$ref': '#/$defs/Color',
}
assert schema['$defs']['Color'] == {
'enum': ['red', 'green', 'blue'],
'title': 'Color',
'type': 'string',
}
def test_tool_context_ignored(self):
"""Test that tool_context is ignored."""
def my_tool(query: str, tool_context: ToolContext) -> str:
"""A tool that uses context."""
return query
decl = _automatic_function_calling_util.build_function_declaration(
my_tool, ignore_params=['tool_context']
)
schema = decl.parameters_json_schema
assert set(schema['properties'].keys()) == {'query'}
assert 'tool_context' not in schema['properties']
def test_gemini_api_no_response_schema(self):
"""Test that GEMINI_API variant does not include response schema."""
def get_data() -> dict[str, int]:
"""Get some data."""
return {'count': 42}
decl = _automatic_function_calling_util.build_function_declaration(
get_data, variant=GoogleLLMVariant.GEMINI_API
)
# GEMINI_API should not have response_json_schema due to bug b/421991354
assert decl.response_json_schema is None
@pytest.mark.parametrize(
'variant, expect_response_schema',
[
(GoogleLLMVariant.GEMINI_API, False),
(GoogleLLMVariant.VERTEX_AI, True),
],
)
def test_response_schema_by_variant(self, variant, expect_response_schema):
"""Test response schema generation based on the LLM variant."""
def get_data() -> dict[str, int]:
"""Get some data."""
return {'count': 42}
decl = _automatic_function_calling_util.build_function_declaration(
get_data, variant=variant
)
assert (decl.response_json_schema is not None) == expect_response_schema
def test_pydantic_model_parameter(self):
"""Test Pydantic model parameter with feature flag enabled."""
class Address(BaseModel):
street: str
city: str
def save_address(address: Address) -> str:
"""Save an address."""
return f'Saved address in {address.city}'
decl = _automatic_function_calling_util.build_function_declaration(
save_address
)
assert decl.parameters_json_schema is not None
assert 'address' in decl.parameters_json_schema['properties']
def test_no_parameters(self):
"""Test function with no parameters."""
def get_time() -> str:
"""Get current time."""
return '12:00'
decl = _automatic_function_calling_util.build_function_declaration(get_time)
assert decl.name == 'get_time'
assert decl.parameters_json_schema is None
def test_docstring_preserved(self):
"""Test that docstring is preserved as description."""
def well_documented(x: int) -> int:
"""This is a well-documented function.
It does something useful.
"""
return x
decl = _automatic_function_calling_util.build_function_declaration(
well_documented
)
assert 'well-documented function' in decl.description
assert 'something useful' in decl.description
def test_default_values(self):
"""Test parameters with default values."""
def greet(name: str = 'World') -> str:
"""Greet someone."""
return f'Hello, {name}!'
decl = _automatic_function_calling_util.build_function_declaration(greet)
schema = decl.parameters_json_schema
assert schema['properties']['name']['default'] == 'World'
assert 'name' not in schema.get('required', [])