import multiprocessing import os import secrets import signal import sys import threading import time import traceback from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass from datetime import datetime, timedelta from enum import Enum from multiprocessing import Lock, Process, Queue, Value from pathlib import Path from typing import Any, Dict, List, Optional, Tuple from uuid import UUID, uuid4 import httpx import psutil import uvicorn from dotenv import load_dotenv from fastapi import ( BackgroundTasks, Depends, FastAPI, Header, HTTPException, Query, Request, status, ) from fastapi.middleware.cors import CORSMiddleware from loguru import logger from pydantic import BaseModel, Field from swarms.structs.agent import Agent # Load environment variables load_dotenv() # # Set start method to 'fork' at the very beginning of the script # multiprocessing.set_start_method('fork') @dataclass class ProcessMetrics: """Metrics for each API process.""" pid: int cpu_usage: float memory_usage: float request_count: int last_heartbeat: float port: int class ProcessManager: """Manages multiple API processes and their metrics.""" def __init__( self, num_processes: int = None, start_port: int = 8000 ): self.num_processes = ( num_processes or multiprocessing.cpu_count() ) self.start_port = start_port self.processes: Dict[int, Process] = {} self.metrics: Dict[int, ProcessMetrics] = {} self.metrics_lock = Lock() self.heartbeat_queue = Queue() self.shutdown_event = multiprocessing.Event() def start_api_process(self, port: int) -> Process: """Start a single API process on the specified port.""" process = Process( target=run_api_instance, args=(port, self.heartbeat_queue, self.shutdown_event), ) process.start() return process def start_all_processes(self): """Start all API processes.""" for i in range(self.num_processes): port = self.start_port + i + 1 process = self.start_api_process(port) self.processes[process.pid] = process self.metrics[process.pid] = ProcessMetrics( pid=process.pid, cpu_usage=0.0, memory_usage=0.0, request_count=0, last_heartbeat=time.time(), port=port, ) def monitor_processes(self): """Monitor process health and metrics.""" while not self.shutdown_event.is_set(): try: # Update metrics from heartbeat queue while not self.heartbeat_queue.empty(): pid, cpu, memory, requests = ( self.heartbeat_queue.get_nowait() ) with self.metrics_lock: if pid in self.metrics: self.metrics[pid].cpu_usage = cpu self.metrics[pid].memory_usage = memory self.metrics[pid].request_count = requests self.metrics[pid].last_heartbeat = ( time.time() ) # Check for dead processes and restart them current_time = time.time() with self.metrics_lock: for pid, metrics in list(self.metrics.items()): if ( current_time - metrics.last_heartbeat > 30 ): # 30 seconds timeout print( f"Process {pid} appears to be dead, restarting..." ) if pid in self.processes: self.processes[pid].terminate() del self.processes[pid] new_process = self.start_api_process( metrics.port ) self.processes[new_process.pid] = ( new_process ) self.metrics[new_process.pid] = ( ProcessMetrics( pid=new_process.pid, cpu_usage=0.0, memory_usage=0.0, request_count=0, last_heartbeat=time.time(), port=metrics.port, ) ) del self.metrics[pid] time.sleep(1) except Exception as e: print(f"Error in process monitoring: {e}") def shutdown(self): """Shutdown all processes gracefully.""" self.shutdown_event.set() for process in self.processes.values(): process.terminate() process.join() class AgentStatus(str, Enum): """Enum for agent status.""" IDLE = "idle" PROCESSING = "processing" ERROR = "error" MAINTENANCE = "maintenance" # Security configurations API_KEY_LENGTH = 32 # Length of generated API keys class APIKey(BaseModel): key: str name: str created_at: datetime last_used: datetime is_active: bool = True class APIKeyCreate(BaseModel): name: str # A friendly name for the API key class User(BaseModel): id: UUID username: str is_active: bool = True is_admin: bool = False api_keys: Dict[str, APIKey] = {} # key -> APIKey object class AgentConfig(BaseModel): """Configuration model for creating a new agent.""" agent_name: str = Field(..., description="Name of the agent") model_name: str = Field( ..., description="Name of the llm you want to use provided by litellm", ) description: str = Field( default="", description="Description of the agent's purpose" ) system_prompt: str = Field( ..., description="System prompt for the agent" ) model_name: str = Field( default="gpt-4", description="Model name to use" ) temperature: float = Field( default=0.1, ge=0.0, le=2.0, description="Temperature for the model", ) max_loops: int = Field( default=1, ge=1, description="Maximum number of loops" ) autosave: bool = Field( default=True, description="Enable autosave" ) dashboard: bool = Field( default=False, description="Enable dashboard" ) verbose: bool = Field( default=True, description="Enable verbose output" ) dynamic_temperature_enabled: bool = Field( default=True, description="Enable dynamic temperature" ) user_name: str = Field( default="default_user", description="Username for the agent" ) retry_attempts: int = Field( default=1, ge=1, description="Number of retry attempts" ) context_length: int = Field( default=200000, ge=1000, description="Context length" ) output_type: str = Field( default="string", description="Output type (string or json)" ) streaming_on: bool = Field( default=False, description="Enable streaming" ) tags: List[str] = Field( default_factory=list, description="Tags for categorizing the agent", ) class AgentUpdate(BaseModel): """Model for updating agent configuration.""" description: Optional[str] = None system_prompt: Optional[str] = None temperature: Optional[float] = 0.5 max_loops: Optional[int] = 1 tags: Optional[List[str]] = None status: Optional[AgentStatus] = None class AgentSummary(BaseModel): """Summary model for agent listing.""" agent_id: UUID agent_name: str description: str created_at: datetime last_used: datetime total_completions: int tags: List[str] status: AgentStatus class AgentMetrics(BaseModel): """Model for agent performance metrics.""" total_completions: int average_response_time: float error_rate: float last_24h_completions: int total_tokens_used: int uptime_percentage: float success_rate: float peak_tokens_per_minute: int class CompletionRequest(BaseModel): """Model for completion requests.""" prompt: str = Field(..., description="The prompt to process") agent_id: UUID = Field(..., description="ID of the agent to use") max_tokens: Optional[int] = Field( None, description="Maximum tokens to generate" ) temperature_override: Optional[float] = 0.5 stream: bool = Field( default=False, description="Enable streaming response" ) class CompletionResponse(BaseModel): """Model for completion responses.""" agent_id: UUID response: str metadata: Dict[str, Any] timestamp: datetime processing_time: float token_usage: Dict[str, int] class AgentStore: """Enhanced store for managing agents.""" def __init__(self): self.agents: Dict[UUID, Agent] = {} self.agent_metadata: Dict[UUID, Dict[str, Any]] = {} self.users: Dict[UUID, User] = {} # user_id -> User self.api_keys: Dict[str, UUID] = {} # api_key -> user_id self.user_agents: Dict[UUID, List[UUID]] = ( {} ) # user_id -> [agent_ids] self.executor = ThreadPoolExecutor(max_workers=4) self.total_requests = Value( "i", 0 ) # Shared counter for total requests self._ensure_directories() def increment_request_count(self): """Increment the total request counter.""" with self.total_requests.get_lock(): self.total_requests.value += 1 def get_total_requests(self) -> int: """Get the total number of requests processed.""" return self.total_requests.value def _ensure_directories(self): """Ensure required directories exist.""" Path("logs").mkdir(exist_ok=True) Path("states").mkdir(exist_ok=True) def create_api_key(self, user_id: UUID, key_name: str) -> APIKey: """Create a new API key for a user.""" if user_id not in self.users: raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, detail="User not found", ) # Generate a secure random API key api_key = secrets.token_urlsafe(API_KEY_LENGTH) # Create the API key object key_object = APIKey( key=api_key, name=key_name, created_at=datetime.utcnow(), last_used=datetime.utcnow(), ) # Store the API key self.users[user_id].api_keys[api_key] = key_object self.api_keys[api_key] = user_id return key_object async def verify_agent_access( self, agent_id: UUID, user_id: UUID ) -> bool: """Verify if a user has access to an agent.""" if agent_id not in self.agents: return False return ( self.agent_metadata[agent_id]["owner_id"] == user_id or self.users[user_id].is_admin ) def validate_api_key(self, api_key: str) -> Optional[UUID]: """Validate an API key and return the associated user ID.""" user_id = self.api_keys.get(api_key) if not user_id or api_key not in self.users[user_id].api_keys: return None key_object = self.users[user_id].api_keys[api_key] if not key_object.is_active: return None # Update last used timestamp key_object.last_used = datetime.utcnow() return user_id async def create_agent( self, config: AgentConfig, user_id: UUID ) -> UUID: """Create a new agent with the given configuration.""" try: agent = Agent( agent_name=config.agent_name, system_prompt=config.system_prompt, model_name=config.model_name, max_loops=config.max_loops, autosave=config.autosave, dashboard=config.dashboard, verbose=config.verbose, dynamic_temperature_enabled=True, saved_state_path=f"states/{config.agent_name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json", user_name=config.user_name, retry_attempts=config.retry_attempts, context_length=config.context_length, return_step_meta=True, output_type="str", streaming_on=config.streaming_on, ) agent_id = uuid4() self.agents[agent_id] = agent self.agent_metadata[agent_id] = { "description": config.description, "created_at": datetime.utcnow(), "last_used": datetime.utcnow(), "total_completions": 0, "tags": config.tags, "total_tokens": 0, "error_count": 0, "response_times": [], "status": AgentStatus.IDLE, "start_time": datetime.utcnow(), "downtime": timedelta(), "successful_completions": 0, } # Add to user's agents list if user_id not in self.user_agents: self.user_agents[user_id] = [] self.user_agents[user_id].append(agent_id) return agent_id except Exception as e: logger.error(f"Error creating agent: {str(e)}") raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Failed to create agent: {str(e)}", ) async def get_agent(self, agent_id: UUID) -> Agent: """Retrieve an agent by ID.""" agent = self.agents.get(agent_id) if not agent: logger.error(f"Agent not found: {agent_id}") raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, detail=f"Agent {agent_id} not found", ) return agent async def update_agent( self, agent_id: UUID, update: AgentUpdate ) -> None: """Update agent configuration.""" agent = await self.get_agent(agent_id) metadata = self.agent_metadata[agent_id] if update.system_prompt: agent.system_prompt = update.system_prompt if update.max_loops is not None: agent.max_loops = update.max_loops if update.tags is not None: metadata["tags"] = update.tags if update.description is not None: metadata["description"] = update.description if update.status is not None: metadata["status"] = update.status if update.status == AgentStatus.MAINTENANCE: metadata["downtime"] += ( datetime.utcnow() - metadata["last_used"] ) logger.info(f"Updated agent {agent_id}") async def list_agents( self, tags: Optional[List[str]] = None, status: Optional[AgentStatus] = None, ) -> List[AgentSummary]: """List all agents, optionally filtered by tags and status.""" summaries = [] for agent_id, agent in self.agents.items(): metadata = self.agent_metadata[agent_id] # Apply filters if tags and not any( tag in metadata["tags"] for tag in tags ): continue if status and metadata["status"] != status: continue summaries.append( AgentSummary( agent_id=agent_id, agent_name=agent.agent_name, description=metadata["description"], created_at=metadata["created_at"], last_used=metadata["last_used"], total_completions=metadata["total_completions"], tags=metadata["tags"], status=metadata["status"], ) ) return summaries async def get_agent_metrics(self, agent_id: UUID) -> AgentMetrics: """Get performance metrics for an agent.""" metadata = self.agent_metadata[agent_id] response_times = metadata["response_times"] # Calculate metrics total_time = datetime.utcnow() - metadata["start_time"] uptime = total_time - metadata["downtime"] uptime_percentage = ( uptime.total_seconds() / total_time.total_seconds() ) * 100 success_rate = ( metadata["successful_completions"] / metadata["total_completions"] * 100 if metadata["total_completions"] > 0 else 0 ) return AgentMetrics( total_completions=metadata["total_completions"], average_response_time=( sum(response_times) / len(response_times) if response_times else 0 ), error_rate=( metadata["error_count"] / metadata["total_completions"] if metadata["total_completions"] > 0 else 0 ), last_24h_completions=sum( 1 for t in response_times if (datetime.utcnow() - t).days < 1 ), total_tokens_used=metadata["total_tokens"], uptime_percentage=uptime_percentage, success_rate=success_rate, peak_tokens_per_minute=max( metadata.get("tokens_per_minute", [0]) ), ) async def clone_agent( self, agent_id: UUID, new_name: str ) -> UUID: """Clone an existing agent with a new name.""" original_agent = await self.get_agent(agent_id) original_metadata = self.agent_metadata[agent_id] config = AgentConfig( agent_name=new_name, description=f"Clone of {original_agent.agent_name}", system_prompt=original_agent.system_prompt, model_name=original_agent.model_name, temperature=0.5, max_loops=original_agent.max_loops, tags=original_metadata["tags"], ) return await self.create_agent(config) async def delete_agent(self, agent_id: UUID) -> None: """Delete an agent.""" if agent_id not in self.agents: raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, detail=f"Agent {agent_id} not found", ) # Clean up any resources agent = self.agents[agent_id] if agent.autosave and os.path.exists(agent.saved_state_path): os.remove(agent.saved_state_path) del self.agents[agent_id] del self.agent_metadata[agent_id] logger.info(f"Deleted agent {agent_id}") async def process_completion( self, agent: Agent, prompt: str, agent_id: UUID, max_tokens: Optional[int] = None, temperature_override: Optional[float] = None, ) -> CompletionResponse: """Process a completion request using the specified agent.""" start_time = datetime.utcnow() metadata = self.agent_metadata[agent_id] try: # Update agent status metadata["status"] = AgentStatus.PROCESSING metadata["last_used"] = start_time # Process the completion response = agent.run(prompt) # Update metrics processing_time = ( datetime.utcnow() - start_time ).total_seconds() metadata["response_times"].append(processing_time) metadata["total_completions"] += 1 metadata["successful_completions"] += 1 # Estimate token usage (this is a rough estimate) prompt_tokens = len(prompt.split()) * 1.3 completion_tokens = len(response.split()) * 1.3 total_tokens = int(prompt_tokens + completion_tokens) metadata["total_tokens"] += total_tokens # Update tokens per minute tracking current_minute = datetime.utcnow().replace( second=0, microsecond=0 ) if "tokens_per_minute" not in metadata: metadata["tokens_per_minute"] = {} metadata["tokens_per_minute"][current_minute] = ( metadata["tokens_per_minute"].get(current_minute, 0) + total_tokens ) return CompletionResponse( agent_id=agent_id, response=response, metadata={ "agent_name": agent.agent_name, # "model_name": agent.llm.model_name, # "temperature": 0.5, }, timestamp=datetime.utcnow(), processing_time=processing_time, token_usage={ "prompt_tokens": int(prompt_tokens), "completion_tokens": int(completion_tokens), "total_tokens": total_tokens, }, ) except Exception as e: metadata["error_count"] += 1 metadata["status"] = AgentStatus.ERROR logger.error( f"Error in completion processing: {str(e)}\n{traceback.format_exc()}" ) raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Error processing completion: {str(e)}", ) finally: metadata["status"] = AgentStatus.IDLE class StoreManager: _instance = None @classmethod def get_instance(cls) -> "AgentStore": if cls._instance is None: cls._instance = AgentStore() return cls._instance # Modify the dependency function def get_store() -> AgentStore: """Dependency to get the AgentStore instance.""" return StoreManager.get_instance() # Security utility function using the new dependency async def get_current_user( api_key: str = Header( ..., description="API key for authentication" ), store: AgentStore = Depends(get_store), ) -> User: """Validate API key and return current user.""" user_id = store.validate_api_key(api_key) if not user_id: raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid or expired API key", headers={"WWW-Authenticate": "ApiKey"}, ) return store.users[user_id] class SwarmsAPI: """Enhanced API class for Swarms agent integration.""" def __init__(self): self.app = FastAPI( title="Swarms Agent API", description="Production-grade API for Swarms agent interaction", version="1.0.0", docs_url="/v1/docs", redoc_url="/v1/redoc", ) # Initialize the store using the singleton manager self.store = StoreManager.get_instance() # Configure CORS self.app.add_middleware( CORSMiddleware, allow_origins=[ "*" ], # Configure appropriately for production allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) self._setup_routes() def _setup_routes(self): """Set up API routes.""" # In your API code @self.app.post("/v1/users", response_model=Dict[str, Any]) async def create_user(request: Request): """Create a new user and initial API key.""" try: body = await request.json() username = body.get("username") if not username or len(username) < 3: raise HTTPException( status_code=400, detail="Invalid username" ) user_id = uuid4() user = User(id=user_id, username=username) self.store.users[user_id] = user initial_key = self.store.create_api_key( user_id, "Initial Key" ) return { "user_id": user_id, "api_key": initial_key.key, } except Exception as e: logger.error(f"Error creating user: {str(e)}") raise HTTPException(status_code=400, detail=str(e)) @self.app.post( "/v1/users/{user_id}/api-keys", response_model=APIKey ) async def create_api_key( user_id: UUID, key_create: APIKeyCreate, current_user: User = Depends(get_current_user), ): """Create a new API key for a user.""" if ( current_user.id != user_id and not current_user.is_admin ): raise HTTPException( status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized to create API keys for this user", ) return self.store.create_api_key(user_id, key_create.name) @self.app.get( "/v1/users/{user_id}/api-keys", response_model=List[APIKey], ) async def list_api_keys( user_id: UUID, current_user: User = Depends(get_current_user), ): """List all API keys for a user.""" if ( current_user.id != user_id and not current_user.is_admin ): raise HTTPException( status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized to view API keys for this user", ) return list(self.store.users[user_id].api_keys.values()) @self.app.delete("/v1/users/{user_id}/api-keys/{key}") async def revoke_api_key( user_id: UUID, key: str, current_user: User = Depends(get_current_user), ): """Revoke an API key.""" if ( current_user.id != user_id and not current_user.is_admin ): raise HTTPException( status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized to revoke API keys for this user", ) if key in self.store.users[user_id].api_keys: self.store.users[user_id].api_keys[ key ].is_active = False del self.store.api_keys[key] return {"status": "API key revoked"} raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, detail="API key not found", ) @self.app.get( "/v1/users/me/agents", response_model=List[AgentSummary] ) async def list_user_agents( current_user: User = Depends(get_current_user), tags: Optional[List[str]] = Query(None), status: Optional[AgentStatus] = None, ): """List all agents owned by the current user.""" user_agents = self.store.user_agents.get( current_user.id, [] ) return [ agent for agent in await self.store.list_agents( tags, status ) if agent.agent_id in user_agents ] @self.app.middleware("http") async def count_requests(request: Request, call_next): """Middleware to count all incoming requests.""" self.store.increment_request_count() response = await call_next(request) return response # Modify existing routes to use API key authentication @self.app.post("/v1/agent", response_model=Dict[str, UUID]) async def create_agent( config: AgentConfig, current_user: User = Depends(get_current_user), ): """Create a new agent with the specified configuration.""" agent_id = await self.store.create_agent( config, current_user.id ) return {"agent_id": agent_id} @self.app.get("/v1/agents", response_model=List[AgentSummary]) async def list_agents( tags: Optional[List[str]] = Query(None), status: Optional[AgentStatus] = None, ): """List all agents, optionally filtered by tags and status.""" return await self.store.list_agents(tags, status) @self.app.patch( "/v1/agent/{agent_id}", response_model=Dict[str, str] ) async def update_agent(agent_id: UUID, update: AgentUpdate): """Update an existing agent's configuration.""" await self.store.update_agent(agent_id, update) return {"status": "updated"} @self.app.get( "/v1/agent/{agent_id}/metrics", response_model=AgentMetrics, ) async def get_agent_metrics(agent_id: UUID): """Get performance metrics for a specific agent.""" return await self.store.get_agent_metrics(agent_id) @self.app.post( "/v1/agent/{agent_id}/clone", response_model=Dict[str, UUID], ) async def clone_agent(agent_id: UUID, new_name: str): """Clone an existing agent with a new name.""" new_id = await self.store.clone_agent(agent_id, new_name) return {"agent_id": new_id} @self.app.delete("/v1/agent/{agent_id}") async def delete_agent(agent_id: UUID): """Delete an agent.""" await self.store.delete_agent(agent_id) return {"status": "deleted"} @self.app.post( "/v1/agent/completions", response_model=CompletionResponse ) async def create_completion( request: CompletionRequest, background_tasks: BackgroundTasks, ): """Process a completion request with the specified agent.""" try: agent = await self.store.get_agent(request.agent_id) # Process completion response = await self.store.process_completion( agent, request.prompt, request.agent_id, request.max_tokens, 0.5, ) # Schedule background cleanup background_tasks.add_task( self._cleanup_old_metrics, request.agent_id ) return response except Exception as e: logger.error(f"Error processing completion: {str(e)}") raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Error processing completion: {str(e)}", ) @self.app.get("/v1/agent/{agent_id}/status") async def get_agent_status(agent_id: UUID): """Get the current status of an agent.""" metadata = self.store.agent_metadata.get(agent_id) if not metadata: raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, detail=f"Agent {agent_id} not found", ) return { "agent_id": agent_id, "status": metadata["status"], "last_used": metadata["last_used"], "total_completions": metadata["total_completions"], "error_count": metadata["error_count"], } async def _cleanup_old_metrics(self, agent_id: UUID): """Clean up old metrics data to prevent memory bloat.""" metadata = self.store.agent_metadata.get(agent_id) if metadata: # Keep only last 24 hours of response times cutoff = datetime.utcnow() - timedelta(days=1) metadata["response_times"] = [ t for t in metadata["response_times"] if isinstance(t, (int, float)) and t > cutoff.timestamp() ] # Clean up old tokens per minute data if "tokens_per_minute" in metadata: metadata["tokens_per_minute"] = { k: v for k, v in metadata["tokens_per_minute"].items() if k > cutoff } def run_api_instance( port: int, heartbeat_queue: Queue, shutdown_event: any ): """Run a single API instance and report metrics.""" try: # Initialize API api = SwarmsAPI() process = psutil.Process() # Start metrics reporting def report_metrics(): while not shutdown_event.is_set(): try: cpu_percent = process.cpu_percent() memory_percent = process.memory_percent() heartbeat_queue.put( ( process.pid, cpu_percent, memory_percent, api.store.get_total_requests(), ) ) time.sleep(5) except Exception as e: logger.error(f"Error reporting metrics: {e}") metrics_thread = threading.Thread(target=report_metrics) metrics_thread.daemon = True metrics_thread.start() # Run API uvicorn.run( api.app, host="0.0.0.0", port=port, log_level="info" ) except Exception as e: logger.error(f"Error in API instance: {e}") sys.exit(1) class MultiProcessManager: """Manages multiple API processes.""" def __init__( self, base_port: int = 8000, num_processes: int = None ): self.base_port = base_port self.num_processes = ( num_processes or multiprocessing.cpu_count() ) self.processes: Dict[int, Process] = {} self.metrics: Dict[int, ProcessMetrics] = {} self.active = Value("b", True) def start_process(self, port: int) -> Process: """Start a single API process.""" process = Process(target=run_api_instance, args=(port,)) process.start() self.metrics[process.pid] = ProcessMetrics(process.pid, port) self.processes[process.pid] = process return process def monitor_processes(self): """Monitor process health and metrics.""" while self.active.value: for pid, metrics in list(self.metrics.items()): try: # Update process metrics process = psutil.Process(pid) metrics.cpu_usage = process.cpu_percent() metrics.memory_usage = process.memory_percent() metrics.last_heartbeat = time.time() except psutil.NoSuchProcess: # Restart dead process logger.warning( f"Process {pid} died, restarting..." ) if pid in self.processes: self.processes[pid].terminate() del self.processes[pid] self.start_process(metrics.port) del self.metrics[pid] time.sleep(5) def start(self): """Start all API processes.""" logger.info(f"Starting {self.num_processes} API processes...") # Start worker processes for i in range(self.num_processes): port = self.base_port + i + 1 self.start_process(port) # Start monitoring thread monitor_thread = threading.Thread( target=self.monitor_processes ) monitor_thread.daemon = True monitor_thread.start() logger.info("All processes started successfully") def shutdown(self): """Shutdown all processes.""" self.active.value = False for process in self.processes.values(): process.terminate() process.join() def create_app() -> FastAPI: """Create and configure the FastAPI application.""" logger.info("Creating FastAPI application") api = SwarmsAPI() app = api.app logger.info("FastAPI application created successfully") return app class LoadBalancer: """Load balancer for distributing requests across API instances.""" def __init__(self, process_manager: ProcessManager): self.process_manager = process_manager self.last_selected_pid = None self._lock = Lock() def get_best_instance(self) -> Tuple[int, int]: """Select the best instance to handle the next request based on load.""" with self.process_manager.metrics_lock: valid_instances = [ (pid, metrics) for pid, metrics in self.process_manager.metrics.items() if time.time() - metrics.last_heartbeat < 30 ] if not valid_instances: raise RuntimeError( "No healthy API instances available" ) # Calculate load score for each instance scores = [] for pid, metrics in valid_instances: cpu_score = metrics.cpu_usage / 100.0 memory_score = metrics.memory_usage / 100.0 request_score = ( metrics.request_count / 1000.0 ) # Normalize request count total_score = ( cpu_score + memory_score + request_score ) / 3 scores.append((pid, metrics.port, total_score)) # Select instance with lowest load score selected_pid, selected_port, _ = min( scores, key=lambda x: x[2] ) return selected_pid, selected_port class LoadBalancedAPI(SwarmsAPI): """Enhanced API class with load balancing capabilities.""" def __init__( self, process_manager: ProcessManager, load_balancer: LoadBalancer, ): super().__init__() self.process_manager = process_manager self.load_balancer = load_balancer self.request_count = Value("i", 0) self.add_middleware() def add_middleware(self): """Add middleware for request routing and metrics collection.""" @self.app.middleware("http") async def route_request(request: Request, call_next): try: # Increment request count with self.request_count.get_lock(): self.request_count.value += 1 # Get best instance for processing pid, port = self.load_balancer.get_best_instance() # Forward request if not already on the best instance if request.url.port != port: async with httpx.AsyncClient() as client: forwarded_url = f"http://localhost:{port}{request.url.path}" response = await client.request( request.method, forwarded_url, headers=dict(request.headers), content=await request.body(), ) return httpx.Response( content=response.content, status_code=response.status_code, headers=dict(response.headers), ) # Process request locally if already on the best instance response = await call_next(request) return response except Exception as e: logger.error(f"Error routing request: {e}") raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e), ) def run_worker(port: int): """Run a single worker instance.""" try: api = SwarmsAPI() uvicorn.run( api.app, host="0.0.0.0", port=port, log_level="info" ) logger.info(f"Worker started on port {port}") except Exception as e: logger.error(f"Worker error: {e}") def main(): """Main entry point for the multi-process API.""" # Initialize processes list before any potential exceptions processes = [] try: # Try to get current method, only set if not already set try: current_method = multiprocessing.get_start_method() logger.info( f"Using existing start method: {current_method}" ) except RuntimeError: try: multiprocessing.set_start_method("fork") logger.info("Set start method to fork") except RuntimeError: logger.warning("Using default start method") # Calculate number of workers num_workers = max(1, multiprocessing.cpu_count() - 1) base_port = 8000 # Start worker processes for i in range(num_workers): port = base_port + i + 1 process = Process(target=run_worker, args=(port,)) process.start() processes.append(process) logger.info(f"Started worker on port {port}") # Run main instance api = SwarmsAPI() def shutdown_handler(signum, frame): logger.info("Shutting down workers...") for p in processes: try: p.terminate() p.join(timeout=5) logger.info(f"Worker {p.pid} terminated") except Exception as e: logger.error(f"Error shutting down worker: {e}") sys.exit(0) signal.signal(signal.SIGINT, shutdown_handler) signal.signal(signal.SIGTERM, shutdown_handler) # Run main instance uvicorn.run( api.app, host="0.0.0.0", port=base_port, log_level="info" ) logger.info(f"Main instance started on port {base_port}") except Exception as e: logger.error(f"Startup error: {e}") # Clean up any started processes for p in processes: try: p.terminate() p.join(timeout=5) logger.info( f"Worker {p.pid} terminated during cleanup" ) except Exception as cleanup_error: logger.error(f"Error during cleanup: {cleanup_error}") sys.exit(1) if __name__ == "__main__": main()