.env.example

# LLM Agent Security Benchmark - Environment Variables

# ===== Database =====
DATABASE_URL=postgresql+asyncpg://benchmark:benchmark123@localhost:5432/benchmark
DB_PASSWORD=benchmark123

# ===== Redis =====
REDIS_URL=redis://localhost:6379/0

# ===== JWT Authentication (MUST change in production!) =====
SECRET_KEY=your-secret-key-change-in-production

# ===== Docker Registry =====
REGISTRY_URL=http://localhost:5000
REGISTRY_USERNAME=
REGISTRY_PASSWORD=

# ===== Platform =====
PLATFORM_NAME=LLM Agent Security Benchmark
MAX_CONCURRENT_MATCHES=30
MATCH_TIMEOUT_MINUTES=30
DEBUG=false
CORS_ORIGINS=["http://localhost:3000","http://localhost:5173"]

# ===== Docker Network =====
DOCKER_NETWORK_NAME=platform-network
PLATFORM_INTERNAL_URL=http://backend:8000
AGENT_MCP_SERVER_URL=http://host.docker.internal:8000/mcp/sse

# ===== Container Resources =====
AGENT_MEM_LIMIT=4g
AGENT_CPU_PERIOD=100000
AGENT_CPU_QUOTA=200000
TARGET_MEM_LIMIT=2g
TARGET_CPU_PERIOD=100000
TARGET_CPU_QUOTA=100000
CONTAINER_STOP_TIMEOUT=5

# ===== LangSmith =====
LANGSMITH_TRACING=true
LANGSMITH_ENDPOINT=https://api.smith.langchain.com
LANGSMITH_API_KEY=your-langsmith-api-key
LANGSMITH_PROJECT=your-langsmith-project

# ===== LLM / OpenAI =====
LLM_MODEL=gpt-5.2
OPENAI_API_KEY=your-openai-api-key
OPENAI_BASE_URL=https://api.openai.com/v1/
LLM_TEMPERATURE=0.7
LLM_MAX_TOKENS=4096
LLM_TIMEOUT=60

# ===== CTF =====
CTF_TOKEN=your-ctf-platform-token

# ===== Frontend Dev =====
VITE_API_TARGET=http://localhost:8000
VITE_WS_TARGET=ws://localhost:8000