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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

345 lines
11 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for UrlContextTool."""
from google.adk.agents.invocation_context import InvocationContext
from google.adk.agents.sequential_agent import SequentialAgent
from google.adk.models.llm_request import LlmRequest
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.tools.tool_context import ToolContext
from google.adk.tools.url_context_tool import url_context
from google.adk.tools.url_context_tool import UrlContextTool
from google.genai import types
import pytest
async def _create_tool_context() -> ToolContext:
session_service = InMemorySessionService()
session = await session_service.create_session(
app_name='test_app', user_id='test_user'
)
agent = SequentialAgent(name='test_agent')
invocation_context = InvocationContext(
invocation_id='invocation_id',
agent=agent,
session=session,
session_service=session_service,
)
return ToolContext(invocation_context=invocation_context)
class TestUrlContextTool:
"""Test the UrlContextTool class."""
def test_init(self):
"""Test initialization of UrlContextTool."""
tool = UrlContextTool()
assert tool.name == 'url_context'
assert tool.description == 'url_context'
def test_url_context_singleton(self):
"""Test that url_context is a singleton instance."""
assert isinstance(url_context, UrlContextTool)
assert url_context.name == 'url_context'
@pytest.mark.asyncio
async def test_process_llm_request_with_gemini_2_model(self):
"""Test processing LLM request with Gemini 2.x model."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='gemini-2.5-flash', config=types.GenerateContentConfig()
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_path_based_gemini_2_model(self):
"""Test processing LLM request with path-based Gemini 2.x model."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='projects/265104255505/locations/us-central1/publishers/google/models/gemini-2.5-flash',
config=types.GenerateContentConfig(),
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_gemini_2_5_model(self):
"""Test processing LLM request with Gemini 2.5 model."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='gemini-2.5-pro', config=types.GenerateContentConfig()
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_existing_tools(self):
"""Test processing LLM request with existing tools."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
existing_tool = types.Tool(
function_declarations=[
types.FunctionDeclaration(name='test_function', description='test')
]
)
llm_request = LlmRequest(
model='gemini-2.5-flash',
config=types.GenerateContentConfig(tools=[existing_tool]),
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 2
assert llm_request.config.tools[0] == existing_tool
assert llm_request.config.tools[1].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_gemini_1_model_raises_error(self):
"""Test that Gemini 1.x model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='gemini-1.5-flash', config=types.GenerateContentConfig()
)
with pytest.raises(
ValueError, match='Url context tool cannot be used in Gemini 1.x'
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_path_based_gemini_1_model_raises_error(
self,
):
"""Test that path-based Gemini 1.x model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='projects/265104255505/locations/us-central1/publishers/google/models/gemini-1.5-flash',
config=types.GenerateContentConfig(),
)
with pytest.raises(
ValueError, match='Url context tool cannot be used in Gemini 1.x'
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_non_gemini_model_raises_error(self):
"""Test that non-Gemini model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='claude-3-sonnet', config=types.GenerateContentConfig()
)
with pytest.raises(
ValueError,
match='Url context tool is not supported for model claude-3-sonnet',
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_non_gemini_model_and_disabled_check(
self, monkeypatch
):
"""Test non-Gemini model can pass when model-id check is disabled."""
monkeypatch.setenv('ADK_DISABLE_GEMINI_MODEL_ID_CHECK', 'true')
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='internal-model-v1', config=types.GenerateContentConfig()
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_path_based_non_gemini_model_raises_error(
self,
):
"""Test that path-based non-Gemini model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
non_gemini_path = 'projects/265104255505/locations/us-central1/publishers/google/models/claude-3-sonnet'
llm_request = LlmRequest(
model=non_gemini_path, config=types.GenerateContentConfig()
)
with pytest.raises(
ValueError,
match=f'Url context tool is not supported for model {non_gemini_path}',
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_none_model_raises_error(self):
"""Test that None model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(model=None, config=types.GenerateContentConfig())
with pytest.raises(
ValueError, match='Url context tool is not supported for model None'
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_empty_model_raises_error(self):
"""Test that empty model raises ValueError."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(model='', config=types.GenerateContentConfig())
with pytest.raises(
ValueError, match='Url context tool is not supported for model '
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_with_no_config(self):
"""Test processing LLM request with None config."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(model='gemini-2.5-flash')
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config is not None
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_with_none_tools(self):
"""Test processing LLM request with None tools."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model='gemini-2.5-flash', config=types.GenerateContentConfig(tools=None)
)
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None
@pytest.mark.asyncio
async def test_process_llm_request_edge_cases(self):
"""Test edge cases for model name validation."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
# Test with model names that contain gemini but don't start with it
edge_cases = [
'my-gemini-2.0-model',
'custom-gemini-2.5-flash',
'projects/265104255505/locations/us-central1/publishers/gemini/models/claude-3-sonnet',
]
for model in edge_cases:
llm_request = LlmRequest(
model=model, config=types.GenerateContentConfig()
)
with pytest.raises(
ValueError,
match=f'Url context tool is not supported for model {model}',
):
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
@pytest.mark.asyncio
async def test_process_llm_request_managed_agent_no_model(self):
"""Managed-agent requests resolve url_context even with no model."""
tool = UrlContextTool()
tool_context = await _create_tool_context()
llm_request = LlmRequest(
model=None,
config=types.GenerateContentConfig(),
)
llm_request._is_managed_agent = True
await tool.process_llm_request(
tool_context=tool_context, llm_request=llm_request
)
assert llm_request.config.tools is not None
assert len(llm_request.config.tools) == 1
assert llm_request.config.tools[0].url_context is not None