| | @@ -15,11 +15,13 @@ realism. Recent research (SPADE 2025, HoneyGPT) shows this is an open area |
| | with no strong commercial shipment. |
| | |
| | Backend options (pick via `backend` arg or OVERSIGHT_DECOY_BACKEND env): |
| - | - "ollama" - POST to a local Ollama server (recommended; uses GPU node) |
| + | - "ollama" - POST to a local Ollama server (recommended) |
| | - "openai" - OpenAI-compatible API (for testing) |
| | - "static" - hardcoded templates (works offline; lowest quality) |
| | |
| - | Point OLLAMA_URL at any Ollama instance; default is loopback. |
| + | Override the Ollama endpoint and model with the ``OLLAMA_URL`` and |
| + | ``OVERSIGHT_DECOY_MODEL`` environment variables. Defaults target a |
| + | loopback Ollama install. |
| | """ |
| | |
| | from __future__ import annotations |
| | @@ -33,8 +35,8 @@ from typing import Optional |
| | import httpx |
| | |
| | |
| - | DEFAULT_OLLAMA = os.environ.get("OLLAMA_URL", "http://[redacted-rfc1918]") |
| - | DEFAULT_MODEL = os.environ.get("OVERSIGHT_DECOY_MODEL", "dolphin-mistral:7b-v2.8") |
| + | DEFAULT_OLLAMA = os.environ.get("OLLAMA_URL", "http://127.0.0.1:11434") |
| + | DEFAULT_MODEL = os.environ.get("OVERSIGHT_DECOY_MODEL", "llama3.1:8b") |
| | |
| | |
| | # Realistic decoy filenames. These are deliberately interesting to an attacker |