Files
NeuroSploit/legacy/backend_fastapi/config.py
T
CyberSecurityUP a5badefc29 v3.3.0 GUI dashboard + reports + model expansion + root fix
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
  works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
  (NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
  Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
  results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)

Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
  with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
  /reports/* + /shots/* static serving

Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 23:26:11 -03:00

92 lines
3.2 KiB
Python
Executable File

"""
NeuroSploit v3 - Configuration
"""
import os
from pathlib import Path
from typing import Optional
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
"""Application settings"""
# Application
APP_NAME: str = "NeuroSploit v3"
APP_VERSION: str = "3.0.0"
DEBUG: bool = True
# Server
HOST: str = "0.0.0.0"
PORT: int = 8000
# Database
DATABASE_URL: str = "sqlite+aiosqlite:///./data/neurosploit.db"
# Paths
BASE_DIR: Path = Path(__file__).parent.parent
DATA_DIR: Path = BASE_DIR / "data"
REPORTS_DIR: Path = DATA_DIR / "reports"
SCANS_DIR: Path = DATA_DIR / "scans"
PROMPTS_DIR: Path = BASE_DIR / "prompts"
# LLM Settings
ANTHROPIC_API_KEY: Optional[str] = os.getenv("ANTHROPIC_API_KEY")
OPENAI_API_KEY: Optional[str] = os.getenv("OPENAI_API_KEY")
NIM_API_KEY: Optional[str] = os.getenv("NIM_API_KEY")
NIM_BASE_URL: str = os.getenv("NIM_BASE_URL", "https://integrate.api.nvidia.com/v1/chat/completions")
OPENROUTER_API_KEY: Optional[str] = os.getenv("OPENROUTER_API_KEY")
GEMINI_API_KEY: Optional[str] = os.getenv("GEMINI_API_KEY")
AZURE_OPENAI_API_KEY: Optional[str] = os.getenv("AZURE_OPENAI_API_KEY")
AZURE_OPENAI_ENDPOINT: Optional[str] = os.getenv("AZURE_OPENAI_ENDPOINT")
AZURE_OPENAI_API_VERSION: str = os.getenv("AZURE_OPENAI_API_VERSION", "2024-02-01")
AZURE_OPENAI_DEPLOYMENT: Optional[str] = os.getenv("AZURE_OPENAI_DEPLOYMENT")
TOGETHER_API_KEY: Optional[str] = os.getenv("TOGETHER_API_KEY")
FIREWORKS_API_KEY: Optional[str] = os.getenv("FIREWORKS_API_KEY")
DEFAULT_LLM_PROVIDER: str = "claude"
DEFAULT_LLM_MODEL: str = "claude-sonnet-4-20250514"
MAX_OUTPUT_TOKENS: Optional[int] = None
ENABLE_MODEL_ROUTING: bool = False
# Feature Flags
ENABLE_KNOWLEDGE_AUGMENTATION: bool = False
ENABLE_BROWSER_VALIDATION: bool = False
ENABLE_VULN_AGENTS: bool = False
VULN_AGENT_CONCURRENCY: int = 10
ENABLE_SMART_ROUTER: bool = False
# RAG (Retrieval-Augmented Generation)
ENABLE_RAG: bool = True # Enabled by default (zero deps, uses BM25)
RAG_BACKEND: str = "auto" # "auto", "chromadb", "tfidf", "bm25"
# External Methodology File (injected into all LLM calls)
METHODOLOGY_FILE: Optional[str] = None # Path to .md methodology file
# CLI Agent (AI CLI tools inside Kali sandbox)
ENABLE_CLI_AGENT: bool = False # Feature flag (default: disabled)
CLI_AGENT_MAX_RUNTIME: int = 1800 # Max runtime in seconds (default: 30 min)
CLI_AGENT_DEFAULT_PROVIDER: str = "claude_code" # Default CLI provider
# Codex LLM
CODEX_API_KEY: Optional[str] = os.getenv("CODEX_API_KEY")
# Scan Settings
MAX_CONCURRENT_SCANS: int = 5
DEFAULT_TIMEOUT: int = 30
MAX_REQUESTS_PER_SECOND: int = 10
# CORS
CORS_ORIGINS: list = ["http://localhost:3000", "http://127.0.0.1:3000"]
class Config:
env_file = ".env"
case_sensitive = True
extra = "ignore"
settings = Settings()
# Ensure directories exist
settings.DATA_DIR.mkdir(parents=True, exist_ok=True)
settings.REPORTS_DIR.mkdir(parents=True, exist_ok=True)
settings.SCANS_DIR.mkdir(parents=True, exist_ok=True)