ARCHITECTURE SPECIFICATION<0.8ms IN-PROCESS SENTINEL

How Moven Protects Autonomous AI Agents in Real Time

Moven operates directly inside your agent runtime process. By wrapping tool runners with sub-millisecond AST proxies, Moven intercepts runaway recursive loops, enforces hard dollar budgets, and triggers automated self-healing without adding proxy latency.

<0.8ms
Evaluation Latency
0 hops
Zero Proxy Overhead
10 Rules
Active Safety Shields
100%
Loop Interception SLA
++++
SYS_PIPELINE // 4-STAGE IN-MEMORY EXECUTION LIFECYCLE
LIFECYCLE ENGINE

The 4 Stages of In-Process Protection

Select stage:
STAGE 01ZERO-PROXY IN-PROCESS EXECUTION

In-Process Tool Wrapping (<0.8ms)

Unlike slow proxy gateways that route all your model requests through external servers (adding 40-150ms of latency and SSL termination risks), Moven wraps your tools in-process using lightweight function proxies.

Key Capabilities:
  • Drops directly into LangGraph, CrewAI, AutoGen, or Vercel AI SDK
  • <0.8ms evaluation overhead per tool execution
  • No API credentials or prompt data ever leave your infrastructure
  • Zero external proxy downtime or DNS dependencies
Implementation:
stage-01.ts
1import { wrapToolsWithMoven } from '@moven/sdk';
2import { tools } from './agent-tools';
3
4// Wrap all tools with zero-overhead in-memory sentinel
5export const protectedTools = wrapToolsWithMoven(tools, {
6 maxRepeatCalls: 3,
7 maxCostDollar: 2.00,
8 autoFallbackCheaperModel: true,
9});
COMPETITIVE BENCHMARKS & DEEP DIVES

Why In-Process Sentinels Beat Every Competitor

Select a deep dive to see the architectural flaws of passive loggers and slow reverse proxies.

AGENT RUNTIME THEORY

The Engineering Root Causes of LLM Agent Loops

Why do even frontier models (GPT-4o, Claude 3.5 Sonnet, Gemini 2.5 Pro) get trapped in recursive tool loops? Understanding the stochastic failure mechanisms that cost teams thousands.

CAUSE 01 // CONTEXT INJECTION RECOVERY TRAP

The Deterministic Error Feedback Loop

When a tool call returns an error or empty payload, the runtime appends that failure text to the conversation context. In low-temperature greedy decoding, the model is mathematically biased to reissue the exact same or slightly mutated query because the failure context dominates the attention heads.

CAUSE 02 // SEMANTIC DRIFT & STAGNATION

Synonym Ping-Pong

The agent realizes one tool failed and rephrases the query: from "find user by email" to "search user email address". Simple string counters are blind to this. Moven measures Shannon entropy collapse ($H(X) < 0.25$) to detect reasoning deadlocks.

Arm your agents with in-process fuses.

Zero network latency. Sub-0.8ms evaluation. Automated GitHub self-healing PRs.