feat: Add intelligent auto-router and enhanced integrations

- Add intelligent-router.sh hook for automatic agent routing
- Add AUTO-TRIGGER-SUMMARY.md documentation
- Add FINAL-INTEGRATION-SUMMARY.md documentation
- Complete Prometheus integration (6 commands + 4 tools)
- Complete Dexto integration (12 commands + 5 tools)
- Enhanced Ralph with access to all agents
- Fix /clawd command (removed disable-model-invocation)
- Update hooks.json to v5 with intelligent routing
- 291 total skills now available
- All 21 commands with automatic routing

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

prometheus/tests/app/services/test_issue_service.py

@@ -0,0 +1,157 @@
+from unittest.mock import Mock, create_autospec
+
+import pytest
+
+from prometheus.app.services.issue_service import IssueService
+from prometheus.app.services.llm_service import LLMService
+from prometheus.app.services.repository_service import RepositoryService
+from prometheus.git.git_repository import GitRepository
+from prometheus.graph.knowledge_graph import KnowledgeGraph
+from prometheus.lang_graph.graphs.issue_state import IssueType
+
+
+@pytest.fixture
+def mock_llm_service():
+    service = create_autospec(LLMService, instance=True)
+    service.advanced_model = "gpt-4"
+    service.base_model = "gpt-3.5-turbo"
+    return service
+
+
+@pytest.fixture
+def mock_repository_service():
+    service = create_autospec(RepositoryService, instance=True)
+    return service
+
+
+@pytest.fixture
+def issue_service(mock_llm_service, mock_repository_service):
+    return IssueService(
+        llm_service=mock_llm_service,
+        working_directory="/tmp/working_dir/",
+        logging_level="DEBUG",
+    )
+
+
+async def test_answer_issue_with_general_container(issue_service, monkeypatch):
+    # Setup
+    mock_issue_graph = Mock()
+    mock_issue_graph_class = Mock(return_value=mock_issue_graph)
+    monkeypatch.setattr("prometheus.app.services.issue_service.IssueGraph", mock_issue_graph_class)
+
+    mock_container = Mock()
+    mock_general_container_class = Mock(return_value=mock_container)
+    monkeypatch.setattr(
+        "prometheus.app.services.issue_service.GeneralContainer", mock_general_container_class
+    )
+
+    repository = Mock(spec=GitRepository)
+    repository.get_working_directory.return_value = "mock/working/directory"
+
+    knowledge_graph = Mock(spec=KnowledgeGraph)
+
+    # Mock output state for a bug type
+    mock_output_state = {
+        "issue_type": IssueType.BUG,
+        "edit_patch": "test_patch",
+        "passed_reproducing_test": True,
+        "passed_regression_test": True,
+        "passed_existing_test": True,
+        "issue_response": "test_response",
+    }
+    mock_issue_graph.invoke.return_value = mock_output_state
+
+    # Exercise
+    result = issue_service.answer_issue(
+        repository=repository,
+        knowledge_graph=knowledge_graph,
+        repository_id=1,
+        issue_title="Test Issue",
+        issue_body="Test Body",
+        issue_comments=[],
+        issue_type=IssueType.BUG,
+        run_build=True,
+        run_regression_test=True,
+        run_existing_test=True,
+        run_reproduce_test=True,
+        number_of_candidate_patch=1,
+        build_commands=None,
+        test_commands=None,
+    )
+
+    # Verify
+    mock_general_container_class.assert_called_once_with(
+        project_path=repository.get_working_directory(), build_commands=None, test_commands=None
+    )
+
+    mock_issue_graph_class.assert_called_once_with(
+        advanced_model=issue_service.llm_service.advanced_model,
+        base_model=issue_service.llm_service.base_model,
+        kg=knowledge_graph,
+        git_repo=repository,
+        container=mock_container,
+        repository_id=1,
+        test_commands=None,
+    )
+    assert result == ("test_patch", True, True, True, "test_response", IssueType.BUG)
+
+
+async def test_answer_issue_with_user_defined_container(issue_service, monkeypatch):
+    # Setup
+    mock_issue_graph = Mock()
+    mock_issue_graph_class = Mock(return_value=mock_issue_graph)
+    monkeypatch.setattr("prometheus.app.services.issue_service.IssueGraph", mock_issue_graph_class)
+
+    mock_container = Mock()
+    mock_user_container_class = Mock(return_value=mock_container)
+    monkeypatch.setattr(
+        "prometheus.app.services.issue_service.UserDefinedContainer", mock_user_container_class
+    )
+
+    repository = Mock(spec=GitRepository)
+    repository.get_working_directory.return_value = "mock/working/directory"
+
+    knowledge_graph = Mock(spec=KnowledgeGraph)
+
+    # Mock output state for a question type
+    mock_output_state = {
+        "issue_type": IssueType.QUESTION,
+        "edit_patch": None,
+        "passed_reproducing_test": False,
+        "passed_regression_test": False,
+        "passed_existing_test": False,
+        "issue_response": "test_response",
+    }
+    mock_issue_graph.invoke.return_value = mock_output_state
+
+    # Exercise
+    result = issue_service.answer_issue(
+        repository=repository,
+        knowledge_graph=knowledge_graph,
+        repository_id=1,
+        issue_title="Test Issue",
+        issue_body="Test Body",
+        issue_comments=[],
+        issue_type=IssueType.QUESTION,
+        run_build=True,
+        run_regression_test=True,
+        run_existing_test=True,
+        run_reproduce_test=True,
+        number_of_candidate_patch=1,
+        dockerfile_content="FROM python:3.8",
+        image_name="test-image",
+        workdir="/app",
+        build_commands=["pip install -r requirements.txt"],
+        test_commands=["pytest"],
+    )
+
+    # Verify
+    mock_user_container_class.assert_called_once_with(
+        project_path=repository.get_working_directory(),
+        workdir="/app",
+        build_commands=["pip install -r requirements.txt"],
+        test_commands=["pytest"],
+        dockerfile_content="FROM python:3.8",
+        image_name="test-image",
+    )
+    assert result == (None, False, False, False, "test_response", IssueType.QUESTION)