Granular Rate Limiting
LLM providers impose strict rate limits. If your autonomous agents overwhelm these limits, your entire application can be throttled, impacting all users. Oridio allows you to implement granular rate limiting at the edge, acting as a buffer between your agents and the upstream provider.
You can configure sophisticated rate limiting rules based on tenant ID, agent role, or API key. For example, you can restrict "Researcher" agents to 10 requests per minute, while allowing "Summarizer" agents 50 requests per minute.
Smooth Degradation
When rate limits are hit, Oridio can intelligently queue requests or return structured backpressure signals, allowing your agents to gracefully handle the limits rather than crashing unceremoniously.
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.
Route OpenAI/Anthropic SDK client requests through https://proxy.oridio.org/v1.
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.
P50 evaluation overhead per token packet.
Global Anycast edge proxy availability.
Distributed Redis mutex for swarms.
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
Frequently Asked Questions
Need help integrating?
Our runtime engineering team can help pair on your agent topology.