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codeMode

Execute code in a sandboxed environment with access to imported tools. Write files, run code, and get results.

Part of the PraisonAI server.

codeMode can trigger actions in PraisonAI, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke codeMode to trigger processes or run actions in PraisonAI. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

codeMode can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "codeMode": {
      "limits": [
        {
          "counter": "codemode_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full PraisonAI policy for all 91 tools.

Get this rule live on your own PraisonAI server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 91 tools →

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

Browse the full MCP Attack Database →

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

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

What does the codeMode tool do? +

Execute code in a sandboxed environment with access to imported tools. Write files, run code, and get results.. It is categorised as a Execute tool in the PraisonAI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on codeMode? +

Register the PraisonAI MCP server in PolicyLayer and add a rule for codeMode: 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 PraisonAI. Nothing to install.

What risk level is codeMode? +

codeMode is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit codeMode? +

Yes. Add a rate_limit block to the codeMode 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 codeMode completely? +

Set action: deny in the PolicyLayer policy for codeMode. 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 codeMode? +

codeMode is provided by the PraisonAI MCP server (pypi:praisonai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PraisonAI tool call.

Deterministic rules across all 91 PraisonAI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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