diff --git a/app/local-ai-commit-reviewer/tests/conftest.py b/app/local-ai-commit-reviewer/tests/conftest.py
new file mode 100644
index 0000000..206735b
--- /dev/null
+++ b/app/local-ai-commit-reviewer/tests/conftest.py
@@ -0,0 +1,126 @@
+import subprocess
+import tempfile
+from pathlib import Path
+
+import pytest
+
+from src.config import Config
+from src.llm.provider import LLMProvider, LLMResponse, ModelInfo
+
+
+@pytest.fixture
+def temp_git_repo():
+    """Create a temporary Git repository for testing."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        repo_path = Path(tmpdir)
+        subprocess.run(["git", "init"], cwd=repo_path, capture_output=True, check=False)
+        subprocess.run(["git", "config", "user.email", "test@test.com"], cwd=repo_path, capture_output=True, check=False)
+        subprocess.run(["git", "config", "user.name", "Test"], cwd=repo_path, capture_output=True, check=False)
+        yield repo_path
+
+
+@pytest.fixture
+def sample_python_file(temp_git_repo):
+    """Create a sample Python file in the temp repo."""
+    test_file = temp_git_repo / "test.py"
+    test_file.write_text('def hello():\n    print("Hello, World!")\n    return True\n')
+    subprocess.run(["git", "add", "test.py"], cwd=temp_git_repo, capture_output=True, check=False)
+    return test_file
+
+
+@pytest.fixture
+def sample_js_file(temp_git_repo):
+    """Create a sample JavaScript file."""
+    test_file = temp_git_repo / "test.js"
+    test_file.write_text('function hello() {\n    console.log("Hello, World!");\n}\n')
+    subprocess.run(["git", "add", "test.js"], cwd=temp_git_repo, capture_output=True, check=False)
+    return test_file
+
+
+@pytest.fixture
+def sample_diff():
+    """Return a sample diff for testing."""
+    return """diff --git a/test.py b/test.py
+--- a/test.py
++++ b/test.py
+@@ -1,3 +1,4 @@
+ def hello():
++    print("hello")
+     return True
+-    return False
+"""
+
+
+@pytest.fixture
+def mock_config():
+    """Return a default Config instance."""
+    return Config()
+
+
+class MockLLMProvider(LLMProvider):
+    """Mock LLM provider for testing."""
+
+    def __init__(self, available: bool = True, response_text: str | None = None):
+        self._available = available
+        self._response_text = response_text or '{"issues": [], "summary": {"critical_count": 0, "warning_count": 0, "info_count": 0, "overall_assessment": "No issues"}}'
+
+    def is_available(self) -> bool:
+        return self._available
+
+    def generate(self, _prompt: str, **_kwargs) -> LLMResponse:
+        return LLMResponse(
+            text=self._response_text,
+            model="mock-model",
+            tokens_used=50,
+            finish_reason="stop"
+        )
+
+    async def agenerate(self, _prompt: str, **_kwargs) -> LLMResponse:
+        return self.generate(_prompt, **_kwargs)
+
+    def stream_generate(self, _prompt: str, **_kwargs):
+        yield "Mock"
+
+    def list_models(self) -> list[ModelInfo]:
+        return [
+            ModelInfo(name="mock-model", size="4GB", modified="2024-01-01", digest="abc123")
+        ]
+
+    def health_check(self) -> bool:
+        return self._available
+
+
+@pytest.fixture
+def mock_llm_provider():
+    """Return a mock LLM provider."""
+    return MockLLMProvider(available=True)
+
+
+@pytest.fixture
+def mock_llm_unavailable():
+    """Return a mock LLM provider that's not available."""
+    return MockLLMProvider(available=False)
+
+
+@pytest.fixture
+def mock_llm_with_issues():
+    """Return a mock LLM provider that returns issues."""
+    response = '''{
+    "issues": [
+        {
+            "file": "test.py",
+            "line": 2,
+            "severity": "warning",
+            "category": "style",
+            "message": "Missing docstring for function",
+            "suggestion": "Add a docstring above the function definition"
+        }
+    ],
+    "summary": {
+        "critical_count": 0,
+        "warning_count": 1,
+        "info_count": 0,
+        "overall_assessment": "Minor style issues found"
+    }
+}'''
+    return MockLLMProvider(available=True, response_text=response)