Medium Risk

create_virtual_key

Create a virtual API key for rate limiting and monitoring

Part of the LiteLLM Multi-Model API server.

create_virtual_key can modify LiteLLM Multi-Model API data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_virtual_key to create or modify resources in LiteLLM Multi-Model API. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_virtual_key repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach LiteLLM Multi-Model API.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_virtual_key": {
      "limits": [
        {
          "counter": "create_virtual_key_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full LiteLLM Multi-Model API policy for all 4 tools.

Get this rule live on your own LiteLLM Multi-Model API server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access create_virtual_key gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_virtual_key only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_virtual_key tool do? +

Create a virtual API key for rate limiting and monitoring. It is categorised as a Write tool in the LiteLLM Multi-Model API MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_virtual_key? +

Register the LiteLLM Multi-Model API MCP server in PolicyLayer and add a rule for create_virtual_key: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches LiteLLM Multi-Model API. Nothing to install.

What risk level is create_virtual_key? +

create_virtual_key is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_virtual_key? +

Yes. Add a rate_limit block to the create_virtual_key rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block create_virtual_key completely? +

Set action: deny in the PolicyLayer policy for create_virtual_key. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides create_virtual_key? +

create_virtual_key is provided by the LiteLLM Multi-Model API MCP server (BerriAI/litellm-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every LiteLLM Multi-Model API tool call.

Deterministic rules across all 4 LiteLLM Multi-Model API tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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