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_llm_service.py

@@ -0,0 +1,125 @@
+from unittest.mock import Mock, patch
+
+import pytest
+
+from prometheus.app.services.llm_service import CustomChatOpenAI, LLMService, get_model
+
+
+@pytest.fixture
+def mock_custom_chat_openai():
+    with patch("prometheus.app.services.llm_service.CustomChatOpenAI") as mock:
+        yield mock
+
+
+@pytest.fixture
+def mock_chat_anthropic():
+    with patch("prometheus.app.services.llm_service.ChatAnthropic") as mock:
+        yield mock
+
+
+@pytest.fixture
+def mock_chat_google():
+    with patch("prometheus.app.services.llm_service.ChatGoogleGenerativeAI") as mock:
+        yield mock
+
+
+def test_llm_service_init(mock_custom_chat_openai, mock_chat_anthropic):
+    # Setup
+    mock_gpt_instance = Mock()
+    mock_claude_instance = Mock()
+    mock_custom_chat_openai.return_value = mock_gpt_instance
+    mock_chat_anthropic.return_value = mock_claude_instance
+
+    # Exercise
+    service = LLMService(
+        advanced_model_name="gpt-4",
+        base_model_name="claude-2.1",
+        advanced_model_temperature=0.0,
+        base_model_temperature=0.0,
+        openai_format_api_key="openai-key",
+        openai_format_base_url="https://api.openai.com/v1",
+        anthropic_api_key="anthropic-key",
+    )
+
+    # Verify
+    assert service.advanced_model == mock_gpt_instance
+    assert service.base_model == mock_claude_instance
+    mock_custom_chat_openai.assert_called_once_with(
+        model="gpt-4",
+        api_key="openai-key",
+        base_url="https://api.openai.com/v1",
+        temperature=0.0,
+        max_retries=3,
+    )
+    mock_chat_anthropic.assert_called_once_with(
+        model_name="claude-2.1",
+        api_key="anthropic-key",
+        temperature=0.0,
+        max_retries=3,
+    )
+
+
+def test_get_openai_format_model(mock_custom_chat_openai):
+    # Exercise
+    get_model(
+        model_name="openrouter/model",
+        openai_format_api_key="openrouter-key",
+        openai_format_base_url="https://openrouter.ai/api/v1",
+        temperature=0.0,
+    )
+
+    # Verify
+    mock_custom_chat_openai.assert_called_once_with(
+        model="openrouter/model",
+        api_key="openrouter-key",
+        base_url="https://openrouter.ai/api/v1",
+        temperature=0.0,
+        max_retries=3,
+    )
+
+
+def test_get_model_claude(mock_chat_anthropic):
+    # Exercise
+    get_model(
+        model_name="claude-2.1",
+        anthropic_api_key="anthropic-key",
+        temperature=0.0,
+    )
+
+    # Verify
+    mock_chat_anthropic.assert_called_once_with(
+        model_name="claude-2.1",
+        api_key="anthropic-key",
+        temperature=0.0,
+        max_retries=3,
+    )
+
+
+def test_get_model_gemini(mock_chat_google):
+    # Exercise
+    get_model(
+        model_name="gemini-pro",
+        gemini_api_key="gemini-key",
+        temperature=0.0,
+    )
+
+    # Verify
+    mock_chat_google.assert_called_once_with(
+        model="gemini-pro",
+        api_key="gemini-key",
+        temperature=0.0,
+        max_retries=3,
+    )
+
+
+def test_custom_chat_openai_bind_tools():
+    # Setup
+    model = CustomChatOpenAI(api_key="test-key", max_input_tokens=64000)
+    mock_tools = [Mock()]
+
+    # Exercise
+    with patch("prometheus.chat_models.custom_chat_openai.ChatOpenAI.bind_tools") as mock_bind:
+        model.bind_tools(mock_tools)
+
+    # Verify
+    mock_bind.assert_called_once_with(mock_tools, tool_choice=None, parallel_tool_calls=False)