Prevent infinite reasoning death spirals and multi-agent deadlocks without crashing your user sessions. Aegis is the deterministic runtime shield for mission-critical AI.
Open-Core · Zero Latency Penalty · Zero Session 500s · BYOK Architecture
Native counters hard-crash your agents. Proxies blindly route tokens. Aegis provides the active SRE runtime that auto-heals execution and shields distributed swarms.
| Capability | Native Frameworks LangGraph, CrewAI | Gateway Proxies LiteLLM, Langfuse | Aegis Engine Deterministic SRE Shield |
|---|---|---|---|
| Loop Detection | Crash RiskBasic integer step count (n > 25) | Passive / DropNone (passes tokens blindly) | ✓ Active SRESemantic Drift & Oscillation Detection (catches non-identical looping) |
| Failure Behavior | Crash RiskHard Crash (GraphRecursionError) | Passive / DropHard 429/400 Drop | ✓ Active SREDeterministic Recovery (Agent gracefully summarizes and returns state) |
| Swarm Protection | Crash RiskSingle-agent scope only | Passive / DropProtocol proxy only | ✓ Active SREDistributed Deadlock Prevention across multi-agent microservices |
| Compute Footprint | Crash RiskClient CPU | Passive / DropLightweight Proxy | ✓ Active SREEmbeddings & State Evaluation for advanced behavioral monitoring |
As autonomous systems scale into microservices, the biggest threat isn't a single agent looping—it's Agent A waiting on Agent B, which is blocked by Agent A.
Aegis tracks cross-service dependency graphs in real-time, detecting distributed deadlocks that isolated frameworks like CrewAI and LangGraph cannot see. It automatically intervenes to break cyclic wait-states and preserve systemic uptime.
// PRODUCTION FAIL-SAFE SUBSYSTEMS
Engineered to protect production systems against stochastic agent failures.
Aegis uses cosine similarity and dynamic graph cycle detection across reasoning chains. It detects when an agent rephrases failed steps into an infinite loop—stopping semantic spirals before step counts trip.
Never crash customer sessions with unhandled 500 exceptions. When a threshold trips, Aegis automatically downscales to smaller models, summarizes partial state, and returns a valid user response.
Detect and resolve distributed deadlock conditions across autonomous microservices (e.g. Agent A blocked by Agent B, which waits on Agent A). Aegis maintains real-time cross-service DAGs.
// ONE-LINE DROP-IN SRE
Wrap any LangChain chain, CrewAI crew, AutoGen group chat, or custom OpenAI/Anthropic tool loop. Aegis monitors loop depth and spend ceilings in-memory with sub-5ms overhead.
from aegis import guard, RecoveryMode
# SRE Guardrail with Semantic Oscillation Detection
@guard(
max_budget_usd=2.50,
detect_semantic_oscillations=True, # Catches rephrased loops
on_trip=RecoveryMode.DOWNSCALE_AND_SUMMARIZE # Never 500
)
async def autonomous_researcher(user_query: str):
# Zero unhandled crashes. State returns gracefully.
return await agent_swarm.run(user_query)Protect your agent pipelines from runaway token spikes. Open-core, BYOK, and zero telemetry lock-in.