added draft of swarms fastapi with opentelemetry - further terraform config to push in swarms-terraform
patrickbdevaney
3 weeks ago
parent
fe08baabe3
commit
c5b52ee963
@ -0,0 +1,936 @@
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import os
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import secrets
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import traceback
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from concurrent.futures import ThreadPoolExecutor
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from datetime import datetime, timedelta
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from enum import Enum
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from uuid import UUID, uuid4
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from opentelemetry import trace
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from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
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from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
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from opentelemetry.sdk.resources import Resource
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import BatchSpanProcessor
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from opentelemetry.instrumentation.requests import RequestsInstrumentor
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#consider if the following imports need to be added to the main swarms requirements.txt:
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#opentelemetry-api
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#opentelemetry-sdk
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#opentelemetry-instrumentation-fastapi
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#opentelemetry-instrumentation-requests
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#opentelemetry-exporter-otlp-proto-grpc
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import uvicorn
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from dotenv import load_dotenv
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from fastapi import (
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BackgroundTasks,
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Depends,
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FastAPI,
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Header,
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HTTPException,
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Query,
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Request,
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status,
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)
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from fastapi.middleware.cors import CORSMiddleware
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from loguru import logger
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from pydantic import BaseModel, Field
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from swarms.structs.agent import Agent
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OTEL_SERVICE_NAME = os.getenv("OTEL_SERVICE_NAME", "swarms-api")
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OTEL_EXPORTER_OTLP_ENDPOINT = os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://aws-otel-collector:4317")
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# Load environment variables
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load_dotenv()
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class AgentStatus(str, Enum):
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"""Enum for agent status."""
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IDLE = "idle"
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PROCESSING = "processing"
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ERROR = "error"
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MAINTENANCE = "maintenance"
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# Security configurations
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API_KEY_LENGTH = 32 # Length of generated API keys
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class APIKey(BaseModel):
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key: str
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name: str
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created_at: datetime
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last_used: datetime
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is_active: bool = True
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class APIKeyCreate(BaseModel):
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name: str # A friendly name for the API key
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class User(BaseModel):
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id: UUID
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username: str
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is_active: bool = True
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is_admin: bool = False
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api_keys: Dict[str, APIKey] = {} # key -> APIKey object
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class AgentConfig(BaseModel):
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"""Configuration model for creating a new agent."""
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agent_name: str = Field(..., description="Name of the agent")
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model_name: str = Field(
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...,
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description="Name of the llm you want to use provided by litellm",
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)
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description: str = Field(
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default="", description="Description of the agent's purpose"
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)
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system_prompt: str = Field(
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..., description="System prompt for the agent"
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)
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model_name: str = Field(
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default="gpt-4", description="Model name to use"
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)
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temperature: float = Field(
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default=0.1,
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ge=0.0,
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le=2.0,
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description="Temperature for the model",
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)
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max_loops: int = Field(
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default=1, ge=1, description="Maximum number of loops"
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)
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autosave: bool = Field(
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default=True, description="Enable autosave"
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)
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dashboard: bool = Field(
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default=False, description="Enable dashboard"
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)
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verbose: bool = Field(
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default=True, description="Enable verbose output"
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)
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dynamic_temperature_enabled: bool = Field(
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default=True, description="Enable dynamic temperature"
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)
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user_name: str = Field(
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default="default_user", description="Username for the agent"
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)
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retry_attempts: int = Field(
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default=1, ge=1, description="Number of retry attempts"
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)
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context_length: int = Field(
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default=200000, ge=1000, description="Context length"
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)
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output_type: str = Field(
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default="string", description="Output type (string or json)"
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)
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streaming_on: bool = Field(
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default=False, description="Enable streaming"
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)
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tags: List[str] = Field(
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default_factory=list,
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description="Tags for categorizing the agent",
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)
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class AgentUpdate(BaseModel):
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"""Model for updating agent configuration."""
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description: Optional[str] = None
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system_prompt: Optional[str] = None
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temperature: Optional[float] = 0.5
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max_loops: Optional[int] = 1
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tags: Optional[List[str]] = None
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status: Optional[AgentStatus] = None
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class AgentSummary(BaseModel):
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"""Summary model for agent listing."""
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agent_id: UUID
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agent_name: str
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description: str
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created_at: datetime
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last_used: datetime
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total_completions: int
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tags: List[str]
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status: AgentStatus
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class AgentMetrics(BaseModel):
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"""Model for agent performance metrics."""
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total_completions: int
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average_response_time: float
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error_rate: float
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last_24h_completions: int
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total_tokens_used: int
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uptime_percentage: float
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success_rate: float
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peak_tokens_per_minute: int
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class CompletionRequest(BaseModel):
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"""Model for completion requests."""
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prompt: str = Field(..., description="The prompt to process")
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agent_id: UUID = Field(..., description="ID of the agent to use")
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max_tokens: Optional[int] = Field(
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None, description="Maximum tokens to generate"
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)
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temperature_override: Optional[float] = 0.5
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stream: bool = Field(
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default=False, description="Enable streaming response"
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)
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class CompletionResponse(BaseModel):
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"""Model for completion responses."""
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agent_id: UUID
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response: str
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metadata: Dict[str, Any]
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timestamp: datetime
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processing_time: float
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token_usage: Dict[str, int]
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class AgentStore:
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"""Enhanced store for managing agents."""
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def __init__(self):
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self.agents: Dict[UUID, Agent] = {}
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self.agent_metadata: Dict[UUID, Dict[str, Any]] = {}
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self.users: Dict[UUID, User] = {} # user_id -> User
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self.api_keys: Dict[str, UUID] = {} # api_key -> user_id
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self.user_agents: Dict[UUID, List[UUID]] = (
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{}
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) # user_id -> [agent_ids]
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self.executor = ThreadPoolExecutor(max_workers=4)
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self._ensure_directories()
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def _ensure_directories(self):
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"""Ensure required directories exist."""
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Path("logs").mkdir(exist_ok=True)
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Path("states").mkdir(exist_ok=True)
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def create_api_key(self, user_id: UUID, key_name: str) -> APIKey:
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"""Create a new API key for a user."""
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if user_id not in self.users:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="User not found",
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)
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# Generate a secure random API key
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api_key = secrets.token_urlsafe(API_KEY_LENGTH)
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# Create the API key object
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key_object = APIKey(
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key=api_key,
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name=key_name,
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created_at=datetime.utcnow(),
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last_used=datetime.utcnow(),
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)
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# Store the API key
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self.users[user_id].api_keys[api_key] = key_object
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self.api_keys[api_key] = user_id
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return key_object
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async def verify_agent_access(
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self, agent_id: UUID, user_id: UUID
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) -> bool:
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"""Verify if a user has access to an agent."""
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if agent_id not in self.agents:
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return False
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return (
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self.agent_metadata[agent_id]["owner_id"] == user_id
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or self.users[user_id].is_admin
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)
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def validate_api_key(self, api_key: str) -> Optional[UUID]:
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"""Validate an API key and return the associated user ID."""
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user_id = self.api_keys.get(api_key)
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if not user_id or api_key not in self.users[user_id].api_keys:
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return None
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key_object = self.users[user_id].api_keys[api_key]
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if not key_object.is_active:
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return None
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# Update last used timestamp
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key_object.last_used = datetime.utcnow()
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return user_id
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async def create_agent(
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self, config: AgentConfig, user_id: UUID
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) -> UUID:
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"""Create a new agent with the given configuration."""
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try:
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agent = Agent(
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agent_name=config.agent_name,
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system_prompt=config.system_prompt,
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model_name=config.model_name,
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max_loops=config.max_loops,
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autosave=config.autosave,
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dashboard=config.dashboard,
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verbose=config.verbose,
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dynamic_temperature_enabled=True,
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saved_state_path=f"states/{config.agent_name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
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user_name=config.user_name,
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retry_attempts=config.retry_attempts,
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context_length=config.context_length,
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return_step_meta=True,
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output_type="str",
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streaming_on=config.streaming_on,
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)
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agent_id = uuid4()
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self.agents[agent_id] = agent
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self.agent_metadata[agent_id] = {
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"description": config.description,
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"created_at": datetime.utcnow(),
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"last_used": datetime.utcnow(),
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"total_completions": 0,
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"tags": config.tags,
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"total_tokens": 0,
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"error_count": 0,
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"response_times": [],
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"status": AgentStatus.IDLE,
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"start_time": datetime.utcnow(),
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"downtime": timedelta(),
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"successful_completions": 0,
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}
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# Add to user's agents list
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if user_id not in self.user_agents:
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self.user_agents[user_id] = []
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self.user_agents[user_id].append(agent_id)
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return agent_id
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except Exception as e:
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logger.error(f"Error creating agent: {str(e)}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to create agent: {str(e)}",
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)
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async def get_agent(self, agent_id: UUID) -> Agent:
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"""Retrieve an agent by ID."""
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agent = self.agents.get(agent_id)
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if not agent:
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logger.error(f"Agent not found: {agent_id}")
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail=f"Agent {agent_id} not found",
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)
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return agent
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async def update_agent(
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self, agent_id: UUID, update: AgentUpdate
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) -> None:
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"""Update agent configuration."""
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agent = await self.get_agent(agent_id)
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metadata = self.agent_metadata[agent_id]
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if update.system_prompt:
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agent.system_prompt = update.system_prompt
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if update.max_loops is not None:
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agent.max_loops = update.max_loops
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if update.tags is not None:
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metadata["tags"] = update.tags
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if update.description is not None:
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metadata["description"] = update.description
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if update.status is not None:
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metadata["status"] = update.status
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if update.status == AgentStatus.MAINTENANCE:
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metadata["downtime"] += (
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datetime.utcnow() - metadata["last_used"]
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)
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logger.info(f"Updated agent {agent_id}")
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async def list_agents(
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self,
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tags: Optional[List[str]] = None,
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status: Optional[AgentStatus] = None,
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) -> List[AgentSummary]:
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"""List all agents, optionally filtered by tags and status."""
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summaries = []
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for agent_id, agent in self.agents.items():
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metadata = self.agent_metadata[agent_id]
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# Apply filters
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if tags and not any(
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tag in metadata["tags"] for tag in tags
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):
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continue
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if status and metadata["status"] != status:
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continue
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summaries.append(
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AgentSummary(
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agent_id=agent_id,
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agent_name=agent.agent_name,
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description=metadata["description"],
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created_at=metadata["created_at"],
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last_used=metadata["last_used"],
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total_completions=metadata["total_completions"],
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tags=metadata["tags"],
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status=metadata["status"],
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)
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)
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return summaries
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async def get_agent_metrics(self, agent_id: UUID) -> AgentMetrics:
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"""Get performance metrics for an agent."""
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metadata = self.agent_metadata[agent_id]
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response_times = metadata["response_times"]
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# Calculate metrics
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total_time = datetime.utcnow() - metadata["start_time"]
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uptime = total_time - metadata["downtime"]
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uptime_percentage = (
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uptime.total_seconds() / total_time.total_seconds()
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) * 100
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success_rate = (
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metadata["successful_completions"]
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/ metadata["total_completions"]
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* 100
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if metadata["total_completions"] > 0
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else 0
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)
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return AgentMetrics(
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total_completions=metadata["total_completions"],
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average_response_time=(
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sum(response_times) / len(response_times)
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if response_times
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else 0
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),
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error_rate=(
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metadata["error_count"]
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/ metadata["total_completions"]
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if metadata["total_completions"] > 0
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else 0
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),
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last_24h_completions=sum(
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1
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for t in response_times
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if (datetime.utcnow() - t).days < 1
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),
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total_tokens_used=metadata["total_tokens"],
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uptime_percentage=uptime_percentage,
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success_rate=success_rate,
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peak_tokens_per_minute=max(
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metadata.get("tokens_per_minute", [0])
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),
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)
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async def clone_agent(
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self, agent_id: UUID, new_name: str
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) -> UUID:
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"""Clone an existing agent with a new name."""
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original_agent = await self.get_agent(agent_id)
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original_metadata = self.agent_metadata[agent_id]
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config = AgentConfig(
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agent_name=new_name,
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description=f"Clone of {original_agent.agent_name}",
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system_prompt=original_agent.system_prompt,
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model_name=original_agent.model_name,
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temperature=0.5,
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max_loops=original_agent.max_loops,
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tags=original_metadata["tags"],
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)
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return await self.create_agent(config)
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async def delete_agent(self, agent_id: UUID) -> None:
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"""Delete an agent."""
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if agent_id not in self.agents:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail=f"Agent {agent_id} not found",
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)
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# Clean up any resources
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agent = self.agents[agent_id]
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if agent.autosave and os.path.exists(agent.saved_state_path):
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os.remove(agent.saved_state_path)
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del self.agents[agent_id]
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del self.agent_metadata[agent_id]
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logger.info(f"Deleted agent {agent_id}")
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async def process_completion(
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self,
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agent: Agent,
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prompt: str,
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agent_id: UUID,
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max_tokens: Optional[int] = None,
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temperature_override: Optional[float] = None,
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) -> CompletionResponse:
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"""Process a completion request using the specified agent."""
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# TELEMETRY CHANGE 6: Initialize tracer for this module
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tracer = trace.get_tracer(__name__)
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# TELEMETRY CHANGE 7: Create parent span for entire completion process
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with tracer.start_as_current_span("process_completion") as span:
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# TELEMETRY CHANGE 8: Add context attributes
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span.set_attribute("agent.id", str(agent_id))
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span.set_attribute("agent.name", agent.agent_name)
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span.set_attribute("prompt.length", len(prompt))
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if max_tokens:
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span.set_attribute("max_tokens", max_tokens)
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start_time = datetime.utcnow()
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metadata = self.agent_metadata[agent_id]
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try:
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with tracer.start_span("update_agent_status") as status_span:
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metadata["status"] = AgentStatus.PROCESSING
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metadata["last_used"] = start_time
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status_span.set_attribute("agent.status", AgentStatus.PROCESSING.value)
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||||
|
||||
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)}")
|
||||
Loading…
Reference in new issue