Security Specification

Distributed State Locking & Race Conditions in Multi-Agent Swarms

When multi-agent architectures scale across parallel serverless invocations, Celery workers, or Kubernetes pods, multiple agents frequently attempt to mutate the same resource concurrently. Without distributed synchronization, agents cause race conditions, double-debits, and phantom reads in shared databases.

The Concurrency Defect
Incident: Parallel purchasing agents reserved the identical seat simultaneously
Root Cause: Asynchronous tool execution with zero mutual exclusion across workers

The Fix: Cloud-Native Redlock Distributed Mutex

Oridio provides an atomic distributed lock primitive based on the Redis Redlock algorithm. Agents acquire low-latency leases (<2ms) before entering critical execution sections, guaranteeing linearizability across asynchronous agent fleets.

# Python: Distributed Swarm Mutex Locking
from oridio import RedlockMutex, ResourceLockedError

mutex = RedlockMutex(api_key="ord_live_...")

# Acquire distributed lease across the cluster before state mutation
with mutex.acquire(resource_id="flight_booking_seat_4A", ttl_seconds=15) as lock:
  if not lock.is_acquired:
    raise ResourceLockedError("Another agent is currently modifying this seat")

  # Safely execute critical database mutation
  reserve_seat("seat_4A")

Wire-Level Conflict Contract

If another agent worker holds an active lease, the Oridio Control Plane responds with HTTP 423 Locked and remaining lease duration:

HTTP/1.1 423 Locked
{ "error": "RESOURCE_ALREADY_LOCKED", "resource": "flight_booking_seat_4A", "held_by_agent": "agent_worker_us_east_4", "lease_expires_in_ms": 3200, "retry_after_ms": 500 }

To coordinate distributed state graphs, see our LangGraph StateGraph Integration.

Installation & Setup

Oridio can be integrated either as a drop-in HTTP proxy without modifying your agent codebase, or via our official language bindings for programmatic telemetry and fine-grained Wasm triggers.

$pip install oridio-python && npm install @oridio/sdk
Step 1: Set Proxy Base URL

Route OpenAI/Anthropic SDK client requests through https://proxy.oridio.org/v1.

Step 2: Add Auth Header

Supply your Oridio Master Key via header X-Oridio-Auth: ord_live_....

Architecture & Deep Dive

The Oridio security runtime operates as an out-of-band Layer 7 data plane. Rather than relying on non-deterministic LLM-as-a-judge prompts, security constraints are compiled into Ahead-Of-Time (AOT) WebAssembly binaries evaluated at bare-metal speeds.

Near-Native Wasm
< 0.7ms

P50 evaluation overhead per token packet.

Fail-Closed SLA
99.99%

Global Anycast edge proxy availability.

State Locking
Redlock

Distributed Redis mutex for swarms.

Zero Egress Leakage Guarantee: When a policy trips or a prompt injection signature is detected, Oridio severs the network socket instantly before any data traverses to the upstream provider.

Sample Code & Implementation

from oridio import OridioClient
from langgraph.graph import StateGraph

# Initialize Oridio Edge Gateway client
client = OridioClient(api_key="ord_live_7x9k2m...")

# Wrap your state graph with zero-trust proxy
graph = StateGraph(AgentState)
secure_graph = client.wrap_graph(
    graph,
    budget_limit_usd=50.00,
    pii_redaction=True,
    anomaly_detection=True
)

Interactive Runtime Playground

Edge Mode: Active
{"agent": "finance-bot", "query": "Transfer SSN 000-12-3456"}
{"agent": "finance-bot", "query": "Transfer SSN [REDACTED_SSN]"}(0.7ms p50)

Frequently Asked Questions

Oridio compiles security policies into Ahead-of-Time (AOT) WebAssembly running directly on global proxy edge nodes. Standard regex and token evaluation adds less than 1 millisecond (p50: 0.7ms, p99: < 5ms).

Need help integrating?

Our runtime engineering team can help pair on your agent topology.

Contact support@oridio.org
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