api/api_telemetry_draft.txt

import os
import secrets
import traceback
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime, timedelta
from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional
from uuid import UUID, uuid4

from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.instrumentation.requests import RequestsInstrumentor

#consider if the following imports need to be added to the main swarms requirements.txt:
#opentelemetry-api
#opentelemetry-sdk
#opentelemetry-instrumentation-fastapi
#opentelemetry-instrumentation-requests
#opentelemetry-exporter-otlp-proto-grpc


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

OTEL_SERVICE_NAME = os.getenv("OTEL_SERVICE_NAME", "swarms-api")
OTEL_EXPORTER_OTLP_ENDPOINT = os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://aws-otel-collector:4317")

# Load environment variables
load_dotenv()


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._ensure_directories()

    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."""
        # TELEMETRY CHANGE 6: Initialize tracer for this module
    tracer = trace.get_tracer(__name__)
        # TELEMETRY CHANGE 7: Create parent span for entire completion process
    with tracer.start_as_current_span("process_completion") as span:
         # TELEMETRY CHANGE 8: Add context attributes
        span.set_attribute("agent.id", str(agent_id))
        span.set_attribute("agent.name", agent.agent_name)
        span.set_attribute("prompt.length", len(prompt))
        if max_tokens:
            span.set_attribute("max_tokens", max_tokens)
            
        start_time = datetime.utcnow()
        metadata = self.agent_metadata[agent_id]

        try:
            with tracer.start_span("update_agent_status") as status_span:
                metadata["status"] = AgentStatus.PROCESSING
                metadata["last_used"] = start_time
                status_span.set_attribute("agent.status", AgentStatus.PROCESSING.value)

            with tracer.start_span("process_agent_completion") as completion_span:
                response = agent.run(prompt)
                     
                completion_span.set_attribute("completion.success", True)

            with tracer.start_span("update_metrics") as metrics_span:
                processing_time = (datetime.utcnow() - start_time).total_seconds()
                metadata["response_times"].append(processing_time)
                metadata["total_completions"] += 1
                metadata["successful_completions"] += 1
                
                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
                
                metrics_span.set_attribute("processing.time", processing_time)
                metrics_span.set_attribute("tokens.total", total_tokens)
                metrics_span.set_attribute("tokens.prompt", int(prompt_tokens))
                metrics_span.set_attribute("tokens.completion", int(completion_tokens))

            with tracer.start_span("update_token_tracking") as token_span:
                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
                )
                token_span.set_attribute("tokens.per_minute", 
                    metadata["tokens_per_minute"][current_minute])

            completion_response = CompletionResponse(
                agent_id=agent_id,
                response=response,
                metadata={
                    "agent_name": agent.agent_name,
                },
                timestamp=datetime.utcnow(),
                processing_time=processing_time,
                token_usage={
                    "prompt_tokens": int(prompt_tokens),
                    "completion_tokens": int(completion_tokens),
                    "total_tokens": total_tokens,
                },
            )
             # TELEMETRY CHANGE 10: Detailed error tracking
            span.set_attribute("completion.status", "success")
            return completion_response

        except Exception as e:
            metadata["error_count"] += 1
            metadata["status"] = AgentStatus.ERROR
             # TELEMETRY CHANGE 11: Detailed error recording
            span.set_attribute("completion.status", "error")
            span.set_attribute("error.type", e.__class__.__name__)
            span.set_attribute("error.message", str(e))
            span.record_exception(e)
            
            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
            span.set_attribute("agent.final_status", AgentStatus.IDLE.value)


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
            ]

        # 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
                }

    @app.middleware("http")
async def add_trace_context(request: Request, call_next):
    span = trace.get_current_span()
    span.set_attribute("http.url", str(request.url))
    span.set_attribute("http.method", request.method)
    response = await call_next(request)
    span.set_attribute("http.status_code", response.status_code)
    return response



def create_app() -> FastAPI:
    """Create and configure the FastAPI application."""
    logger.info("Creating FastAPI application")
    
        # TELEMETRY CHANGE 1: Configure OpenTelemetry resource with service name
    resource = Resource.create({"service.name": "swarms-api"})
    trace.set_tracer_provider(TracerProvider(resource=resource))
    
    # TELEMETRY CHANGE 2: Set up OTLP exporter for AWS
    otlp_exporter = OTLPSpanExporter(
        endpoint="http://aws-otel-collector:4317",  # AWS OpenTelemetry Collector endpoint
        insecure=True
    )
    
        # TELEMETRY CHANGE 3: Configure batch processing of spans
    span_processor = BatchSpanProcessor(otlp_exporter)
    trace.get_tracer_provider().add_span_processor(span_processor)
    
    api = SwarmsAPI()
    app = api.app
    
   
    # TELEMETRY CHANGE 4: Instrument FastAPI framework
    FastAPIInstrumentor.instrument_app(app)
    
 # TELEMETRY CHANGE 5: Instrument HTTP client library
    RequestsInstrumentor().instrument()
    
    logger.info("FastAPI application created successfully")
    return app

app = create_app()

if __name__ == "__main__":
    try:
        logger.info("Starting API server...")
        print("Starting API server on http://0.0.0.0:8000")

        uvicorn.run(
            app,  # Pass the app instance directly
            host="0.0.0.0",
            port=8000,
            log_level="info",
        )
    except Exception as e:
        logger.error(f"Failed to start API: {str(e)}")
        print(f"Error starting server: {str(e)}")