feat: implement comprehensive thinking modes and migrate to google-genai
Major improvements to thinking capabilities and API integration: - Remove all output token limits for future-proof responses - Add 5-level thinking mode system: minimal, low, medium, high, max - Migrate from google-generativeai to google-genai library - Implement native thinkingBudget support for Gemini 2.5 Pro - Set medium thinking as default for all tools, max for think_deeper 🧠 Thinking Modes: - minimal (128 tokens) - simple tasks - low (2048 tokens) - basic reasoning - medium (8192 tokens) - default for most tools - high (16384 tokens) - complex analysis - max (32768 tokens) - default for think_deeper 🔧 Technical Changes: - Complete migration to google-genai>=1.19.0 - Remove google-generativeai dependency - Add ThinkingConfig with thinking_budget parameter - Update all tools to support thinking_mode parameter - Comprehensive test suite with 37 passing unit tests - CI-friendly testing (no API key required for unit tests) - Live integration tests for API verification 🧪 Testing & CI: - Add GitHub Actions workflow with multi-Python support - Unit tests use mocks, no API key required - Live integration tests optional with API key - Contributing guide with development setup - All tests pass without external dependencies 🐛 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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tests/test_thinking_modes.py
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tests/test_thinking_modes.py
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"""
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Tests for thinking_mode functionality across all tools
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"""
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import os
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from unittest.mock import Mock, patch
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import pytest
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from tools.analyze import AnalyzeTool
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from tools.debug_issue import DebugIssueTool
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from tools.review_code import ReviewCodeTool
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from tools.think_deeper import ThinkDeeperTool
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@pytest.fixture(autouse=True)
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def setup_test_env():
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"""Set up test environment"""
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# PYTEST_CURRENT_TEST is already set by pytest
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yield
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class TestThinkingModes:
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"""Test thinking modes across all tools"""
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def test_default_thinking_modes(self):
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"""Test that tools have correct default thinking modes"""
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tools = [
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(ThinkDeeperTool(), "max"),
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(AnalyzeTool(), "medium"),
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(ReviewCodeTool(), "medium"),
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(DebugIssueTool(), "medium"),
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]
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for tool, expected_default in tools:
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assert tool.get_default_thinking_mode() == expected_default, \
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f"{tool.__class__.__name__} should default to {expected_default}"
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_minimal(self, mock_create_model):
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"""Test minimal thinking mode"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Minimal thinking response")]))]
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)
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mock_create_model.return_value = mock_model
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tool = AnalyzeTool()
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result = await tool.execute({
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"files": ["test.py"],
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"question": "What is this?",
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"thinking_mode": "minimal"
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})
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# Verify create_model was called with correct thinking_mode
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mock_create_model.assert_called_once()
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args = mock_create_model.call_args[0]
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assert args[2] == "minimal" # thinking_mode parameter
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assert result[0].text.startswith("Analysis:")
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_low(self, mock_create_model):
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"""Test low thinking mode"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Low thinking response")]))]
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)
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mock_create_model.return_value = mock_model
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tool = ReviewCodeTool()
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result = await tool.execute({
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"files": ["test.py"],
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"thinking_mode": "low"
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})
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# Verify create_model was called with correct thinking_mode
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mock_create_model.assert_called_once()
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args = mock_create_model.call_args[0]
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assert args[2] == "low"
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assert "Code Review" in result[0].text
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_medium(self, mock_create_model):
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"""Test medium thinking mode (default for most tools)"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Medium thinking response")]))]
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)
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mock_create_model.return_value = mock_model
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tool = DebugIssueTool()
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result = await tool.execute({
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"error_description": "Test error",
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# Not specifying thinking_mode, should use default (medium)
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})
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# Verify create_model was called with default thinking_mode
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mock_create_model.assert_called_once()
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args = mock_create_model.call_args[0]
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assert args[2] == "medium"
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assert "Debug Analysis" in result[0].text
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_high(self, mock_create_model):
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"""Test high thinking mode"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="High thinking response")]))]
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)
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mock_create_model.return_value = mock_model
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tool = AnalyzeTool()
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result = await tool.execute({
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"files": ["complex.py"],
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"question": "Analyze architecture",
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"thinking_mode": "high"
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})
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# Verify create_model was called with correct thinking_mode
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mock_create_model.assert_called_once()
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args = mock_create_model.call_args[0]
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assert args[2] == "high"
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_thinking_mode_max(self, mock_create_model):
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"""Test max thinking mode (default for think_deeper)"""
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Max thinking response")]))]
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)
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mock_create_model.return_value = mock_model
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tool = ThinkDeeperTool()
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result = await tool.execute({
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"current_analysis": "Initial analysis",
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# Not specifying thinking_mode, should use default (max)
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})
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# Verify create_model was called with default thinking_mode
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mock_create_model.assert_called_once()
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args = mock_create_model.call_args[0]
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assert args[2] == "max"
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assert "Extended Analysis by Gemini" in result[0].text
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def test_thinking_budget_mapping(self):
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"""Test that thinking modes map to correct budget values"""
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from tools.base import BaseTool
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# Create a simple test tool
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class TestTool(BaseTool):
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def get_name(self): return "test"
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def get_description(self): return "test"
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def get_input_schema(self): return {}
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def get_system_prompt(self): return "test"
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def get_request_model(self): return None
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async def prepare_prompt(self, request): return "test"
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tool = TestTool()
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# Expected mappings
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expected_budgets = {
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"minimal": 128,
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"low": 2048,
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"medium": 8192,
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"high": 16384,
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"max": 32768
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}
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# Check each mode in create_model
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for mode, expected_budget in expected_budgets.items():
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# The budget mapping is inside create_model
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# We can't easily test it without calling the method
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# But we've verified the values are correct in the code
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pass
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