mirror of
https://github.com/EvolutionAPI/adk-python.git
synced 2025-07-13 15:14:50 -06:00
999a7fe69d
Also renamed tool_call as execute_tool and added attributes as recommended in https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/#execute-tool-span. PiperOrigin-RevId: 764594179
297 lines
9.4 KiB
Python
297 lines
9.4 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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from typing import Any
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from typing import Dict
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from typing import Optional
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from unittest import mock
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from google.adk.agents.invocation_context import InvocationContext
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.models.llm_request import LlmRequest
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from google.adk.models.llm_response import LlmResponse
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from google.adk.sessions import InMemorySessionService
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from google.adk.telemetry import trace_call_llm
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from google.adk.telemetry import trace_merged_tool_calls
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from google.adk.telemetry import trace_tool_call
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from google.adk.tools.base_tool import BaseTool
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from google.genai import types
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import pytest
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class Event:
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def __init__(self, event_id: str, event_content: Any):
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self.id = event_id
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self.content = event_content
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def model_dumps_json(self, exclude_none: bool = False) -> str:
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# This is just a stub for the spec. The mock will provide behavior.
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return ''
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@pytest.fixture
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def mock_span_fixture():
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return mock.MagicMock()
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@pytest.fixture
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def mock_tool_fixture():
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tool = mock.Mock(spec=BaseTool)
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tool.name = 'sample_tool'
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tool.description = 'A sample tool for testing.'
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return tool
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@pytest.fixture
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def mock_event_fixture():
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event_mock = mock.create_autospec(Event, instance=True)
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event_mock.model_dumps_json.return_value = (
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'{"default_event_key": "default_event_value"}'
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)
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return event_mock
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async def _create_invocation_context(
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agent: LlmAgent, state: Optional[dict[str, Any]] = None
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) -> InvocationContext:
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session_service = InMemorySessionService()
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session = await session_service.create_session(
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app_name='test_app', user_id='test_user', state=state
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)
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invocation_context = InvocationContext(
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invocation_id='test_id',
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agent=agent,
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session=session,
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session_service=session_service,
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)
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return invocation_context
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@pytest.mark.asyncio
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async def test_trace_call_llm_function_response_includes_part_from_bytes(
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monkeypatch, mock_span_fixture
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):
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monkeypatch.setattr(
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'opentelemetry.trace.get_current_span', lambda: mock_span_fixture
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)
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agent = LlmAgent(name='test_agent')
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invocation_context = await _create_invocation_context(agent)
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llm_request = LlmRequest(
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contents=[
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types.Content(
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role='user',
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parts=[
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types.Part.from_function_response(
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name='test_function_1',
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response={
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'result': b'test_data',
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},
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),
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],
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),
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types.Content(
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role='user',
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parts=[
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types.Part.from_function_response(
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name='test_function_2',
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response={
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'result': types.Part.from_bytes(
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data=b'test_data',
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mime_type='application/octet-stream',
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),
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},
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),
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],
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),
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],
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config=types.GenerateContentConfig(system_instruction=''),
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)
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llm_response = LlmResponse(turn_complete=True)
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trace_call_llm(invocation_context, 'test_event_id', llm_request, llm_response)
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expected_calls = [
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mock.call('gen_ai.system', 'gcp.vertex.agent'),
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]
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assert mock_span_fixture.set_attribute.call_count == 7
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mock_span_fixture.set_attribute.assert_has_calls(expected_calls)
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llm_request_json_str = None
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for call_obj in mock_span_fixture.set_attribute.call_args_list:
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if call_obj.args[0] == 'gcp.vertex.agent.llm_request':
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llm_request_json_str = call_obj.args[1]
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break
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assert (
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llm_request_json_str is not None
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), "Attribute 'gcp.vertex.agent.llm_request' was not set on the span."
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assert llm_request_json_str.count('<not serializable>') == 2
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def test_trace_tool_call_with_scalar_response(
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monkeypatch, mock_span_fixture, mock_tool_fixture, mock_event_fixture
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):
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monkeypatch.setattr(
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'opentelemetry.trace.get_current_span', lambda: mock_span_fixture
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)
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test_args: Dict[str, Any] = {'param_a': 'value_a', 'param_b': 100}
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test_tool_call_id: str = 'tool_call_id_001'
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test_event_id: str = 'event_id_001'
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scalar_function_response: Any = 'Scalar result'
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expected_processed_response = {'result': scalar_function_response}
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mock_event_fixture.id = test_event_id
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mock_event_fixture.content = types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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id=test_tool_call_id,
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name='test_function_1',
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response={'result': scalar_function_response},
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)
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),
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],
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)
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# Act
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trace_tool_call(
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tool=mock_tool_fixture,
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args=test_args,
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function_response_event=mock_event_fixture,
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)
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# Assert
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assert mock_span_fixture.set_attribute.call_count == 10
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expected_calls = [
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mock.call('gen_ai.system', 'gcp.vertex.agent'),
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mock.call('gen_ai.operation.name', 'execute_tool'),
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mock.call('gen_ai.tool.name', mock_tool_fixture.name),
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mock.call('gen_ai.tool.description', mock_tool_fixture.description),
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mock.call('gen_ai.tool.call.id', test_tool_call_id),
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mock.call('gcp.vertex.agent.tool_call_args', json.dumps(test_args)),
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mock.call('gcp.vertex.agent.event_id', test_event_id),
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mock.call(
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'gcp.vertex.agent.tool_response',
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json.dumps(expected_processed_response),
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),
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mock.call('gcp.vertex.agent.llm_request', '{}'),
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mock.call('gcp.vertex.agent.llm_response', '{}'),
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]
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mock_span_fixture.set_attribute.assert_has_calls(
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expected_calls, any_order=True
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)
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def test_trace_tool_call_with_dict_response(
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monkeypatch, mock_span_fixture, mock_tool_fixture, mock_event_fixture
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):
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# Arrange
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monkeypatch.setattr(
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'opentelemetry.trace.get_current_span', lambda: mock_span_fixture
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)
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test_args: Dict[str, Any] = {'query': 'details', 'id_list': [1, 2, 3]}
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test_tool_call_id: str = 'tool_call_id_002'
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test_event_id: str = 'event_id_dict_002'
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dict_function_response: Dict[str, Any] = {
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'data': 'structured_data',
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'count': 5,
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}
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mock_event_fixture.id = test_event_id
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mock_event_fixture.content = types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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id=test_tool_call_id,
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name='test_function_1',
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response=dict_function_response,
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)
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),
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],
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)
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# Act
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trace_tool_call(
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tool=mock_tool_fixture,
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args=test_args,
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function_response_event=mock_event_fixture,
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)
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# Assert
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expected_calls = [
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mock.call('gen_ai.system', 'gcp.vertex.agent'),
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mock.call('gen_ai.operation.name', 'execute_tool'),
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mock.call('gen_ai.tool.name', mock_tool_fixture.name),
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mock.call('gen_ai.tool.description', mock_tool_fixture.description),
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mock.call('gen_ai.tool.call.id', test_tool_call_id),
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mock.call('gcp.vertex.agent.tool_call_args', json.dumps(test_args)),
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mock.call('gcp.vertex.agent.event_id', test_event_id),
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mock.call(
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'gcp.vertex.agent.tool_response', json.dumps(dict_function_response)
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),
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mock.call('gcp.vertex.agent.llm_request', '{}'),
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mock.call('gcp.vertex.agent.llm_response', '{}'),
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]
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assert mock_span_fixture.set_attribute.call_count == 10
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mock_span_fixture.set_attribute.assert_has_calls(
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expected_calls, any_order=True
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)
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def test_trace_merged_tool_calls_sets_correct_attributes(
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monkeypatch, mock_span_fixture, mock_event_fixture
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):
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monkeypatch.setattr(
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'opentelemetry.trace.get_current_span', lambda: mock_span_fixture
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)
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test_response_event_id = 'merged_evt_id_001'
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custom_event_json_output = (
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'{"custom_event_payload": true, "details": "merged_details"}'
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)
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mock_event_fixture.model_dumps_json.return_value = custom_event_json_output
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trace_merged_tool_calls(
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response_event_id=test_response_event_id,
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function_response_event=mock_event_fixture,
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)
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expected_calls = [
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mock.call('gen_ai.system', 'gcp.vertex.agent'),
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mock.call('gen_ai.operation.name', 'execute_tool'),
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mock.call('gen_ai.tool.name', '(merged tools)'),
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mock.call('gen_ai.tool.description', '(merged tools)'),
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mock.call('gen_ai.tool.call.id', test_response_event_id),
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mock.call('gcp.vertex.agent.tool_call_args', 'N/A'),
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mock.call('gcp.vertex.agent.event_id', test_response_event_id),
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mock.call('gcp.vertex.agent.tool_response', custom_event_json_output),
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mock.call('gcp.vertex.agent.llm_request', '{}'),
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mock.call('gcp.vertex.agent.llm_response', '{}'),
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]
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assert mock_span_fixture.set_attribute.call_count == 10
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mock_span_fixture.set_attribute.assert_has_calls(
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expected_calls, any_order=True
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)
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mock_event_fixture.model_dumps_json.assert_called_once_with(exclude_none=True)
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