AI Agent Code → Isolated Sandbox Security Configuration in One Click
Drag & Drop Agent Code / Prompt / System Instructions Here
{
"sandboxId": "",
"isolationLevel": "",
"allowedResources": [],
"deniedPermissions": [],
"timeout": 0
}
| Permission | Status | Risk Level |
|---|---|---|
| - | - | - |
LLM application developers building AI agents with tool use capabilities. Generate security configs before deployment.
Security professionals auditing AI agent code for permission sprawl and isolation boundary violations.
Infrastructure teams provisioning sandboxed AI agent runtimes with standardized permission policies.
Researchers analyzing AI agent behavior patterns and designing containment strategies for autonomous systems.
An AI agent sandbox is an isolated execution environment that constrains what an AI agent can do. It limits file system access, network calls, environment variable exposure, and execution privileges based on a defined permission policy.
Sandbox isolation applies the principle of least privilege. By denying high-risk permissions by default (file system write, network access, exec), even compromised or malicious agent code cannot perform harmful actions like data theft or system compromise.
Sandbox Agent Snap analyzes code patterns, not specific frameworks. It detects function declarations, class definitions, imports, environment usage, network calls, and execution commands commonly found in OpenAI function calling, LangChain tools, AutoGPT plugins, CrewAI agents, and custom LLM integrations.
No. All processing happens entirely in your browser using JavaScript. Your agent code, prompts, and configurations are never transmitted to any external server. This is verified by the zero network requests in our implementation.
The permission manifest is a structured table listing each detected permission (file_system, network, env, exec, etc.), whether it's allowed or denied, and its risk level (low/medium/high). This serves as an audit document and security policy reference.
Isolation level (Low/Medium/High) is calculated based on the number and severity of detected high-risk permissions. Code with 3+ high-risk permissions triggers High isolation. 1-2 high-risk permissions triggers Medium. Otherwise, Low isolation is assigned.
Yes. The generated JSON is fully editable. After export, you can modify any field (timeout, permissions, resources) to match your specific sandbox runtime requirements before deployment.