Cancel a running prediction
Risk signalsTerminates in-progress model run
Part of the Replicate server.
Free to start. No card required.
AI agents may call cancel_prediction to permanently remove or destroy resources in Replicate. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call cancel_prediction in a loop, permanently destroying resources in Replicate. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"cancel_prediction"
]
}See the full Replicate policy for all 13 tools.
These attack patterns abuse exactly the kind of access cancel_prediction gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Cancel a running prediction. It is categorised as a Destructive tool in the Replicate MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Replicate MCP server in PolicyLayer and add a rule for cancel_prediction: 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 Replicate. Nothing to install.
cancel_prediction is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cancel_prediction 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.
Set action: deny in the PolicyLayer policy for cancel_prediction. 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.
cancel_prediction is provided by the Replicate MCP server (@mcp-replicate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 Replicate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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