mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
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CyberSecurityUP
a5badefc29
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>
67 lines
2.1 KiB
Python
Executable File
67 lines
2.1 KiB
Python
Executable File
"""
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NeuroSploit v3 - Agent Task Schemas
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"""
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from datetime import datetime
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from typing import Optional, List
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from pydantic import BaseModel, Field
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class AgentTaskCreate(BaseModel):
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"""Schema for creating an agent task"""
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scan_id: str = Field(..., description="Scan ID this task belongs to")
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task_type: str = Field(..., description="Task type: recon, analysis, testing, reporting")
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task_name: str = Field(..., description="Human-readable task name")
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description: Optional[str] = Field(None, description="Task description")
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tool_name: Optional[str] = Field(None, description="Tool being used")
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tool_category: Optional[str] = Field(None, description="Tool category")
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class AgentTaskUpdate(BaseModel):
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"""Schema for updating an agent task"""
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status: Optional[str] = Field(None, description="Task status")
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items_processed: Optional[int] = Field(None, description="Items processed")
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items_found: Optional[int] = Field(None, description="Items found")
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result_summary: Optional[str] = Field(None, description="Result summary")
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error_message: Optional[str] = Field(None, description="Error message if failed")
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class AgentTaskResponse(BaseModel):
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"""Schema for agent task response"""
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id: str
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scan_id: str
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task_type: str
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task_name: str
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description: Optional[str]
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tool_name: Optional[str]
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tool_category: Optional[str]
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status: str
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started_at: Optional[datetime]
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completed_at: Optional[datetime]
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duration_ms: Optional[int]
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items_processed: int
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items_found: int
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result_summary: Optional[str]
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error_message: Optional[str]
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created_at: datetime
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class Config:
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from_attributes = True
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class AgentTaskListResponse(BaseModel):
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"""Schema for list of agent tasks"""
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tasks: List[AgentTaskResponse]
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total: int
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scan_id: str
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class AgentTaskSummary(BaseModel):
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"""Schema for agent task summary statistics"""
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total: int
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pending: int
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running: int
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completed: int
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failed: int
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by_type: dict # recon, analysis, testing, reporting counts
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by_tool: dict # tool name -> count
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