Initial commit: core-api service extraction from portainer-core
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"""
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Health Controller
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Provides service health and information endpoints
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"""
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from fastapi import APIRouter, Response
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from fastapi.responses import JSONResponse
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from src.controllers.base import BaseController
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from src.config import get_settings
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from src.logging_config import get_logger
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from src.models.ollama_client import get_ollama_client
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# Note: Agent functionality moved to separate core-ai service (Dec 2025)
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# This service (core-api) only provides infrastructure management and tools
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AGENT_AVAILABLE = False
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logger = get_logger(__name__)
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class HealthController(BaseController):
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"""
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Controller for service health and information
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Provides endpoints for:
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- Service information and status
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- Health checks
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"""
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def __init__(self):
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super().__init__(prefix="", tags=["Health"])
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def create_router(self) -> APIRouter:
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"""Create and configure the router"""
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router = APIRouter(tags=self.tags)
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settings = get_settings()
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@router.get(
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"/",
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summary="Service information",
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response_class=JSONResponse
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)
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async def root():
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"""
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Get service information and health status
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Returns basic information about the API service and available endpoints.
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"""
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logger.debug("Root endpoint accessed")
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return {
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"service": settings.app_name,
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"version": settings.app_version,
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"status": "healthy",
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"documentation": {
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"swagger_ui": "/docs",
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"redoc": "/redoc",
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"openapi_spec": "/openapi.json"
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},
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"endpoints": {
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"chat_completions": "/v1/chat/completions",
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"models": "/v1/models",
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"conversations": "/v1/conversations",
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"web_scraper": "/web-scraper/scrape",
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"infrastructure": "/infrastructure",
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"health": "/health",
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"health_full": "/health/full"
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}
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}
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@router.get(
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"/health",
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summary="Health check",
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response_class=JSONResponse
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)
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async def health_check():
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"""
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Simple health check endpoint for container orchestration
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Returns a 200 OK status when the service is running properly.
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Used by Docker, Kubernetes, and load balancers.
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"""
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ollama_client = get_ollama_client()
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ollama_healthy = await ollama_client.health_check()
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return {
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"status": "healthy",
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"ollama_connected": ollama_healthy
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}
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@router.get(
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"/health/full",
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summary="Fast health check for Docker",
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)
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async def full_health_check(response: Response):
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"""
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Fast health check for container orchestration (Docker/K8s).
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Checks component availability WITHOUT running expensive operations.
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Returns 200 OK if all components are available, otherwise 503.
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For detailed diagnostics, use /health/diagnostics instead.
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"""
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import time
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start_time = time.time()
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# Check 1: Ollama connection + verify agent model is available
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ollama_client = get_ollama_client()
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ollama_healthy = False
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ollama_error = None
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model_available = False
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try:
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# Ping Ollama
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ollama_healthy = await ollama_client.health_check()
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# Verify the agent model is pulled and check what's currently loaded
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models_info = {}
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if ollama_healthy:
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try:
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models_response = await ollama_client.list_models()
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available_models = [m.get('name', '') for m in models_response.get('models', [])]
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model_available = settings.agent_model in available_models
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# Get info about currently loaded models (those with size in memory)
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loaded_models = [
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m.get('name', '') for m in models_response.get('models', [])
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if m.get('size', 0) > 0
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]
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models_info = {
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"configured": settings.agent_model,
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"available": model_available,
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"total_in_ollama": len(available_models),
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"currently_loaded": loaded_models if loaded_models else ["none"]
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}
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if not model_available:
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ollama_error = f"Model '{settings.agent_model}' not found in Ollama. Available: {', '.join(available_models[:3])}"
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ollama_healthy = False
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except Exception as e:
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ollama_error = f"Could not list Ollama models: {str(e)}"
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ollama_healthy = False
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except Exception as e:
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ollama_error = str(e)
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logger.warning(f"Ollama health check failed: {ollama_error}")
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# Note: Agent functionality moved to separate core-ai service
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# This service only needs Ollama for embeddings (infrastructure tools)
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# Agent health is checked separately in core-ai service
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# Determine overall status (only Ollama required for core-api)
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is_healthy = ollama_healthy
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elapsed_ms = int((time.time() - start_time) * 1000)
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status_code = 200 if is_healthy else 503
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response.status_code = status_code
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return {
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"status": "healthy" if is_healthy else "unhealthy",
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"status_code": status_code,
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"response_time_ms": elapsed_ms,
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"components": {
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"ollama": {
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"status": "✅ healthy" if ollama_healthy else "❌ unhealthy",
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"models": models_info if models_info else {
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"configured": settings.agent_model,
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"available": False
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},
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"error": ollama_error
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},
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"note": "AI agent functionality available in separate core-ai service (port 8086)"
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}
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}
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@router.get(
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"/health/diagnostics",
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summary="Detailed system diagnostics",
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)
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async def diagnostics(deep_test: bool = False):
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"""
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Comprehensive system diagnostics with detailed component information.
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Query Parameters:
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- deep_test: Set to true to actually test agent generation (slow, ~5-10s)
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Returns detailed information about all system components.
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"""
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import time
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start_time = time.time()
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diagnostics = {
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"timestamp": time.time(),
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"service": {
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"name": settings.app_name,
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"version": settings.app_version,
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"purpose": "Infrastructure management and tools API"
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},
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"components": {}
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}
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# 1. Ollama Connection
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ollama_client = get_ollama_client()
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try:
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ollama_healthy = await ollama_client.health_check()
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diagnostics["components"]["ollama"] = {
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"status": "✅ connected",
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"url": settings.ollama_base_url,
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"timeout": settings.ollama_timeout,
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"default_model": settings.default_model
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}
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except Exception as e:
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diagnostics["components"]["ollama"] = {
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"status": "❌ error",
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"error": str(e)
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}
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# 2. Agent Stack - Moved to separate core-ai service
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diagnostics["components"]["agent"] = {
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"status": "N/A",
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"note": "AI agent functionality moved to separate core-ai service (port 8086)",
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"check_url": "http://core-ai:8086/health"
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}
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# 3. Memory System (Qdrant) - Moved to core-ai service
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diagnostics["components"]["qdrant"] = {
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"status": "N/A",
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"note": "Memory system managed by core-ai service (port 8086)"
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}
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# 4. Configuration
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diagnostics["configuration"] = {
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"agent_fallback_enabled": settings.agent_fallback_enabled,
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"memory_tier1_max_turns": settings.memory_tier1_max_turns,
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"cors_origins": settings.cors_origins[:2] if len(settings.cors_origins) > 2 else settings.cors_origins
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}
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elapsed_ms = int((time.time() - start_time) * 1000)
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diagnostics["response_time_ms"] = elapsed_ms
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return diagnostics
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return router
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# Create controller instance
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health_controller = HealthController()
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