𝗦𝗮𝗳𝗲 𝗙𝗶𝗹𝗲 𝗔𝗰𝗰𝗲𝘀𝘀 𝗳𝗼𝗿 𝗟𝗼𝗰𝗮𝗹 𝗟𝗟𝗠𝘀

𝗦𝗮𝗳𝗲 𝗙𝗶𝗹𝗲 𝗔𝗰𝗰𝗲𝘀𝘀 𝗳𝗼𝗿 𝗟𝗼𝗰𝗮𝗹 𝗟𝗟𝗠𝘀

Local LLMs reading your files are useful. Without guardrails, they are a security risk.

The model plans. Your code executes. Your code is the only wall between a bot and your home folder.

Risks you face:

• Path traversal to sensitive files.
• Leaking API keys from .env files.
• Crashing RAM with giant files.
• Prompt injection from read files.

Use these rules to stay safe:

• Use absolute paths. Block any path outside your root folder.
• Check symlinks. Use real paths to stop back doors.
• Block secrets. Stop files like .env or .git.
• Limit read size. Cap data at 256KB.
• Require human approval for writes. No autonomous writing.
• Validate arguments. Use Zod to stop hallucinations.
• Cap the loop. Stop the bot from running forever.

Sandbox first. Features second. This order is the point.

Source: https://dev.to/pavelespitia/giving-your-local-llm-safe-filesystem-access-with-ollama-tool-use-4o79 Optional learning community: https://t.me/GyaanSetuAi