When multiple autonomous agents operate on the same shared resource (like a database or git repo), race conditions occur. Oridio provides a Redis-backed distributed lock (Redlock) API that agents can acquire before executing critical actions.
Backed by a clustered Redis backend deploying the Redlock algorithm to ensure no two agents can ever acquire the same lock simultaneously.
Lightning fast acquisition and release means agents aren't wasting expensive LLM inference cycles waiting on infrastructure.
Locks are assigned a strict Time-to-Live (TTL). If an agent crashes or enters an infinite loop while holding a lock, it auto-releases to prevent deadlocks.
Autonomous agents can execute thousands of API calls per minute. If a bug or bad prompt causes an agent to enter a loop of invoking expensive models or paid third-party APIs, the resulting bill shock can be devastating. Redlock is Oridio's financial governance engine, operating directly in the data path.
Redlock tracks token consumption, tool invocation costs, and compute duration in real-time. You can define hard budget constraints at the workspace, tenant, or individual agent level. When a threshold is approached, Redlock can throttle the agent's execution speed. When the limit is hit, it physically severs the connection, preventing any further expenditure until an administrator resets the budget.