Re-run a workflow from the very beginning with the same input event, creating a brand-new run record. All steps execute again — prior step results are discarded. Use this to test function changes against historical input, or to reproduce a completed run. For resuming a failure without redoing com...
Part of the Flowforge server.
Free to start. No card required.
AI agents invoke flowforge_replay_run to trigger processes or run actions in Flowforge. 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.
flowforge_replay_run 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.
{
"version": "1",
"default": "deny",
"tools": {
"flowforge_replay_run": {
"limits": [
{
"counter": "flowforge_replay_run_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Flowforge policy for all 49 tools.
These attack patterns abuse exactly the kind of access flowforge_replay_run gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Re-run a workflow from the very beginning with the same input event, creating a brand-new run record. All steps execute again — prior step results are discarded. Use this to test function changes against historical input, or to reproduce a completed run. For resuming a failure without redoing completed work, use flowforge_retry_run instead.. It is categorised as a Execute tool in the Flowforge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Flowforge MCP server in PolicyLayer and add a rule for flowforge_replay_run: 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 Flowforge. Nothing to install.
flowforge_replay_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the flowforge_replay_run 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 flowforge_replay_run. 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.
flowforge_replay_run is provided by the Flowforge MCP server (flowforge-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 49 Flowforge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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