Kye Gomez
6 days ago
parent
83f00d95ba
commit
65d5631c37
@ -1,74 +0,0 @@
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# Build stage
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FROM python:3.11-slim as builder
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements
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COPY requirements.txt .
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RUN pip install --no-cache-dir wheel && \
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pip wheel --no-cache-dir --no-deps --wheel-dir /app/wheels -r requirements.txt
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# Final stage
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FROM python:3.11-slim
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PATH="/app/venv/bin:$PATH" \
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PYTHONPATH=/app \
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PORT=8080
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# Create app user
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RUN useradd -m -s /bin/bash app && \
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mkdir -p /app/logs && \
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chown -R app:app /app
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy wheels from builder
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COPY --from=builder /app/wheels /app/wheels
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# Create and activate virtual environment
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RUN python -m venv /app/venv && \
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/app/venv/bin/pip install --no-cache-dir /app/wheels/*
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# Copy application code
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COPY --chown=app:app . /app/api
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# Switch to app user
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USER app
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# Create directories for logs
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RUN mkdir -p /app/logs
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# Required environment variables
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ENV SUPABASE_URL="" \
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SUPABASE_SERVICE_KEY="" \
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ENVIRONMENT="production" \
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LOG_LEVEL="info" \
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WORKERS=4 \
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MAX_REQUESTS_PER_MINUTE=60 \
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API_KEY_LENGTH=32
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# Expose port
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EXPOSE $PORT
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:$PORT/health || exit 1
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# Start command
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CMD ["sh", "-c", "uvicorn api:app --host 0.0.0.0 --port $PORT --workers $WORKERS --log-level $LOG_LEVEL"]
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File diff suppressed because it is too large
Load Diff
@ -1,936 +0,0 @@
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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(
|
||||
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)}")
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,13 +0,0 @@
|
||||
fastapi
|
||||
uvicorn
|
||||
pydantic
|
||||
loguru
|
||||
python-dotenv
|
||||
swarms # Specify the version or source if it's not on PyPI
|
||||
opentelemetry-api
|
||||
opentelemetry-sdk
|
||||
opentelemetry-instrumentation-fastapi
|
||||
opentelemetry-instrumentation-requests
|
||||
opentelemetry-exporter-otlp-proto-grpc
|
||||
swarms
|
||||
supabase
|
||||
@ -1,43 +0,0 @@
|
||||
name: agentapi
|
||||
|
||||
service:
|
||||
readiness_probe:
|
||||
path: /docs
|
||||
initial_delay_seconds: 300
|
||||
timeout_seconds: 30
|
||||
|
||||
replica_policy:
|
||||
min_replicas: 1
|
||||
max_replicas: 50
|
||||
target_qps_per_replica: 5
|
||||
upscale_delay_seconds: 180
|
||||
downscale_delay_seconds: 600
|
||||
|
||||
|
||||
envs:
|
||||
WORKSPACE_DIR: "agent_workspace"
|
||||
OPENAI_API_KEY: ""
|
||||
|
||||
resources:
|
||||
ports: 8000 # FastAPI default port
|
||||
cpus: 16
|
||||
memory: 64
|
||||
disk_size: 50
|
||||
use_spot: true
|
||||
|
||||
workdir: .
|
||||
|
||||
setup: |
|
||||
git clone https://github.com/kyegomez/swarms.git
|
||||
cd swarms/api
|
||||
pip install -r requirements.txt
|
||||
pip install swarms
|
||||
|
||||
run: |
|
||||
uvicorn main:app --host 0.0.0.0 --port 8000 --workers 4
|
||||
|
||||
# env:
|
||||
# PYTHONPATH: /app/swarms
|
||||
# LOG_LEVEL: "INFO"
|
||||
# # MAX_WORKERS: "4"
|
||||
|
||||
@ -1,327 +0,0 @@
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from typing import Any, Dict
|
||||
|
||||
import aiohttp
|
||||
from loguru import logger
|
||||
|
||||
# Configure loguru
|
||||
LOG_PATH = "api_tests.log"
|
||||
logger.add(
|
||||
LOG_PATH,
|
||||
format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}",
|
||||
rotation="1 day",
|
||||
retention="7 days",
|
||||
level="DEBUG",
|
||||
)
|
||||
|
||||
BASE_URL = (
|
||||
"https://api.swarms.ai/v1" # Change this to match your server URL
|
||||
)
|
||||
|
||||
|
||||
async def log_request_details(
|
||||
method: str, url: str, headers: dict, data: Any = None
|
||||
):
|
||||
"""Log request details before sending."""
|
||||
logger.debug(f"\n{'='*50}")
|
||||
logger.debug(f"REQUEST: {method} {url}")
|
||||
logger.debug(f"HEADERS: {json.dumps(headers, indent=2)}")
|
||||
if data:
|
||||
logger.debug(f"PAYLOAD: {json.dumps(data, indent=2)}")
|
||||
|
||||
|
||||
async def log_response_details(
|
||||
response: aiohttp.ClientResponse, data: Any = None
|
||||
):
|
||||
"""Log response details after receiving."""
|
||||
logger.debug(f"\nRESPONSE Status: {response.status}")
|
||||
logger.debug(
|
||||
f"RESPONSE Headers: {json.dumps(dict(response.headers), indent=2)}"
|
||||
)
|
||||
if data:
|
||||
logger.debug(f"RESPONSE Body: {json.dumps(data, indent=2)}")
|
||||
logger.debug(f"{'='*50}\n")
|
||||
|
||||
|
||||
async def test_create_user(
|
||||
session: aiohttp.ClientSession,
|
||||
) -> Dict[str, str]:
|
||||
"""Test user creation endpoint."""
|
||||
url = f"{BASE_URL}/users"
|
||||
payload = {"username": "test_user"}
|
||||
|
||||
logger.info("Testing user creation...")
|
||||
await log_request_details("POST", url, {}, payload)
|
||||
|
||||
try:
|
||||
async with session.post(url, json=payload) as response:
|
||||
data = await response.json()
|
||||
await log_response_details(response, data)
|
||||
|
||||
if response.status != 200:
|
||||
logger.error(
|
||||
f"Failed to create user. Status: {response.status}, Response: {data}"
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
logger.success("✓ Created user successfully")
|
||||
return {
|
||||
"user_id": data["user_id"],
|
||||
"api_key": data["api_key"],
|
||||
}
|
||||
except Exception as e:
|
||||
logger.exception(f"Exception in user creation: {str(e)}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
async def test_create_agent(
|
||||
session: aiohttp.ClientSession, api_key: str
|
||||
) -> str:
|
||||
"""Test agent creation endpoint."""
|
||||
url = f"{BASE_URL}/agent"
|
||||
config = {
|
||||
"agent_name": "test_agent",
|
||||
"system_prompt": "You are a helpful test agent",
|
||||
"model_name": "gpt-4",
|
||||
"description": "Test agent for API validation",
|
||||
"max_loops": 1,
|
||||
"temperature": 0.5,
|
||||
"tags": ["test"],
|
||||
"streaming_on": False,
|
||||
"user_name": "test_user", # Added required field
|
||||
"output_type": "string", # Added required field
|
||||
}
|
||||
|
||||
headers = {"api-key": api_key}
|
||||
logger.info("Testing agent creation...")
|
||||
await log_request_details("POST", url, headers, config)
|
||||
|
||||
try:
|
||||
async with session.post(
|
||||
url, headers=headers, json=config
|
||||
) as response:
|
||||
data = await response.json()
|
||||
await log_response_details(response, data)
|
||||
|
||||
if response.status != 200:
|
||||
logger.error(
|
||||
f"Failed to create agent. Status: {response.status}, Response: {data}"
|
||||
)
|
||||
return None
|
||||
|
||||
logger.success("✓ Created agent successfully")
|
||||
return data["agent_id"]
|
||||
except Exception as e:
|
||||
logger.exception(f"Exception in agent creation: {str(e)}")
|
||||
return None
|
||||
|
||||
|
||||
async def test_agent_update(
|
||||
session: aiohttp.ClientSession, agent_id: str, api_key: str
|
||||
):
|
||||
"""Test agent update endpoint."""
|
||||
url = f"{BASE_URL}/agent/{agent_id}"
|
||||
update_data = {
|
||||
"description": "Updated test agent",
|
||||
"system_prompt": "Updated system prompt",
|
||||
"temperature": 0.7,
|
||||
"tags": ["test", "updated"],
|
||||
}
|
||||
|
||||
headers = {"api-key": api_key}
|
||||
logger.info(f"Testing agent update for agent {agent_id}...")
|
||||
await log_request_details("PATCH", url, headers, update_data)
|
||||
|
||||
try:
|
||||
async with session.patch(
|
||||
url, headers=headers, json=update_data
|
||||
) as response:
|
||||
data = await response.json()
|
||||
await log_response_details(response, data)
|
||||
|
||||
if response.status != 200:
|
||||
logger.error(
|
||||
f"Failed to update agent. Status: {response.status}, Response: {data}"
|
||||
)
|
||||
return False
|
||||
|
||||
logger.success("✓ Updated agent successfully")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.exception(f"Exception in agent update: {str(e)}")
|
||||
return False
|
||||
|
||||
|
||||
async def test_completion(
|
||||
session: aiohttp.ClientSession, agent_id: str, api_key: str
|
||||
):
|
||||
"""Test completion endpoint."""
|
||||
url = f"{BASE_URL}/agent/completions"
|
||||
completion_request = {
|
||||
"prompt": "Hello, how are you?",
|
||||
"agent_id": agent_id,
|
||||
"max_tokens": 100,
|
||||
"stream": False,
|
||||
}
|
||||
|
||||
headers = {"api-key": api_key}
|
||||
logger.info(f"Testing completion for agent {agent_id}...")
|
||||
await log_request_details(
|
||||
"POST", url, headers, completion_request
|
||||
)
|
||||
|
||||
try:
|
||||
async with session.post(
|
||||
url, headers=headers, json=completion_request
|
||||
) as response:
|
||||
data = await response.json()
|
||||
await log_response_details(response, data)
|
||||
|
||||
if response.status != 200:
|
||||
logger.error(
|
||||
f"Failed to process completion. Status: {response.status}, Response: {data}"
|
||||
)
|
||||
return False
|
||||
|
||||
logger.success("✓ Processed completion successfully")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.exception(
|
||||
f"Exception in completion processing: {str(e)}"
|
||||
)
|
||||
return False
|
||||
|
||||
|
||||
async def test_get_metrics(
|
||||
session: aiohttp.ClientSession, agent_id: str, api_key: str
|
||||
):
|
||||
"""Test metrics endpoint."""
|
||||
url = f"{BASE_URL}/agent/{agent_id}/metrics"
|
||||
headers = {"api-key": api_key}
|
||||
|
||||
logger.info(f"Testing metrics retrieval for agent {agent_id}...")
|
||||
await log_request_details("GET", url, headers)
|
||||
|
||||
try:
|
||||
async with session.get(url, headers=headers) as response:
|
||||
data = await response.json()
|
||||
await log_response_details(response, data)
|
||||
|
||||
if response.status != 200:
|
||||
logger.error(
|
||||
f"Failed to get metrics. Status: {response.status}, Response: {data}"
|
||||
)
|
||||
return False
|
||||
|
||||
logger.success("✓ Retrieved metrics successfully")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.exception(f"Exception in metrics retrieval: {str(e)}")
|
||||
return False
|
||||
|
||||
|
||||
async def run_tests():
|
||||
"""Run all API tests."""
|
||||
logger.info("Starting API test suite...")
|
||||
logger.info(f"Using base URL: {BASE_URL}")
|
||||
|
||||
timeout = aiohttp.ClientTimeout(total=30) # 30 second timeout
|
||||
async with aiohttp.ClientSession(timeout=timeout) as session:
|
||||
try:
|
||||
# Create test user
|
||||
user_data = await test_create_user(session)
|
||||
if not user_data:
|
||||
logger.error("User creation failed, stopping tests.")
|
||||
return
|
||||
|
||||
logger.info(
|
||||
"User created successfully, proceeding with agent tests..."
|
||||
)
|
||||
user_data["user_id"]
|
||||
api_key = user_data["api_key"]
|
||||
|
||||
# Create test agent
|
||||
agent_id = await test_create_agent(session, api_key)
|
||||
if not agent_id:
|
||||
logger.error("Agent creation failed, stopping tests.")
|
||||
return
|
||||
|
||||
logger.info(
|
||||
"Agent created successfully, proceeding with other tests..."
|
||||
)
|
||||
|
||||
# Run remaining tests
|
||||
test_results = []
|
||||
|
||||
# Test metrics retrieval
|
||||
logger.info("Testing metrics retrieval...")
|
||||
metrics_result = await test_get_metrics(
|
||||
session, agent_id, api_key
|
||||
)
|
||||
test_results.append(("Metrics", metrics_result))
|
||||
|
||||
# Test agent update
|
||||
logger.info("Testing agent update...")
|
||||
update_result = await test_agent_update(
|
||||
session, agent_id, api_key
|
||||
)
|
||||
test_results.append(("Agent Update", update_result))
|
||||
|
||||
# Test completion
|
||||
logger.info("Testing completion...")
|
||||
completion_result = await test_completion(
|
||||
session, agent_id, api_key
|
||||
)
|
||||
test_results.append(("Completion", completion_result))
|
||||
|
||||
# Log final results
|
||||
logger.info("\nTest Results Summary:")
|
||||
all_passed = True
|
||||
for test_name, result in test_results:
|
||||
status = "PASSED" if result else "FAILED"
|
||||
logger.info(f"{test_name}: {status}")
|
||||
if not result:
|
||||
all_passed = False
|
||||
|
||||
if all_passed:
|
||||
logger.success(
|
||||
"\n🎉 All tests completed successfully!"
|
||||
)
|
||||
else:
|
||||
logger.error(
|
||||
"\n❌ Some tests failed. Check the logs for details."
|
||||
)
|
||||
|
||||
logger.info(
|
||||
f"\nDetailed logs available at: {os.path.abspath(LOG_PATH)}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.exception(
|
||||
f"Unexpected error during test execution: {str(e)}"
|
||||
)
|
||||
raise
|
||||
finally:
|
||||
logger.info("Test suite execution completed.")
|
||||
|
||||
|
||||
def main():
|
||||
logger.info("=" * 50)
|
||||
logger.info("API TEST SUITE EXECUTION")
|
||||
logger.info("=" * 50)
|
||||
|
||||
try:
|
||||
asyncio.run(run_tests())
|
||||
except KeyboardInterrupt:
|
||||
logger.warning("Test execution interrupted by user.")
|
||||
except Exception:
|
||||
logger.exception("Fatal error in test execution:")
|
||||
finally:
|
||||
logger.info("Test suite shutdown complete.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Loading…
Reference in new issue