The official JEV Gateway and 1-line drop-in reverse proxy. Intercepts intermediate agent tool calls, routing, and guardrails in sub-25ms at $0.0001. Built for Cursor, Claude Code, and autonomous coding agent fleets.
Reinforcement Learning from Human Feedback (RLHF) has led to LLMs optimized for human conversation. Yet RLHF creates mode dropping, hallucinations, and 1,400ms latency. JevProxy replaces slow chat loops with sub-25ms machine-native decisions.
Powered by TypeSafe’s System One models, to be natively used by autonomous software. Trained via RLCD (Reinforcement Learning for Calibrated Decisions) to intercept deterministic tool choices in 18ms at $0.0001 instead of burning $0.015 on frontier LLMs.
Typed tool calls and outputs that software can act on immediately without regex or JSON schema repair.
Every decision includes an estimate of confidence, enabling safe escalation to Claude 3.5 Sonnet or GPT-4o.
Reliable, sub-25ms fast, self-consistent, and type-safe. 1 line drop-in proxy configuration.
Point your OpenAI or Anthropic SDK baseURL to https://api.jevproxy.com/v1. Routine tool loops execute at 18.4ms for $0.0001.
Eliminate the 3-second tool call hang and git status delay in Cursor Composer.
Speed up Anthropic Claude Code terminal operations and eliminate tool lag.
Fix Cascade multi-file tool latency and stop burning tokens on routine checks.
Slash runaway token bills and eliminate prompt context bloat in VS Code.
Sub-25ms decision nodes and fast conditional edges for agentic workflows.
Accelerate multi-agent turn delegation and eliminate swarm freeze delays.
Speed up terminal pair programming with 18.4ms git and repo map lookups.
Discover community reflex tools, prompt firewalls, and sub-20ms AST parsers.
*Based On Workflows For System One Tasks (Head-to-head empirical telemetry)
*Based on coding agent tool-call benchmarks (Single decision vs 10-turn agent fleet)
Jev returns typed decisions with calibrated probabilities, so your software can account for uncertainty. Set the thresholds for when it acts autonomously and when it asks for review. Combine those decisions in code to build larger workflows, with control over how the intelligence is used.
LLMs produce words for people. JevProxy produces typed decisions and is more like code: reliable, fast, self-consistent, and type-safe.
Every JevProxy decision comes with a calibrated confidence estimate, so your software can act when confidence is high and escalate when it is not.
Replaces 78,000 slow frontier LLM roundtrips with sub-25ms $0.0001 System One intercepts.
Every plan includes sub-25ms SLA, prompt injection protection, and 100% free output tokens.
Point your favorite coding agent harness or use JevProxy directly as a zero-config CLI.
# 1. Run direct coding agent session accelerated by JevProxy:
npx jevproxy chat
# 2. Or accelerate any arbitrary agent command:
npx jevproxy run "cursor . --agent"
# 3. View live decision telemetry:
npx jevproxy logs --liveTest real prompts against the live TypeSafe Jev System One model.
POST /api/v1/systemoneCursor recalculates 128k context windows across every file edit. When selecting tools like git status or ripgrep, it makes a full roundtrip to Claude 3.5 Sonnet, taking 1,400ms to 2,200ms per step. JevProxy intercepts these deterministic turns and resolves them in 18.4ms via non-autoregressive decision models.
An architectural deep dive into why agent control loops stall during mechanical tool execution, and how System 1 reflex decision models slash latency by 77x and costs by 65%.
How your brain pulls your hand off a hot stove in 20ms: and why AI agents like Cursor and Claude Code need the exact same reflex system to stop wasting money.
Empirical benchmark comparing JevProxy (#1), Portkey (#2), LiteLLM (#3), Cloudflare AI Gateway (#4), and Helicone (#5) on latency, cost, and agent reflexes.
Drop-in acceleration tutorial: Connect JevProxy to Cursor, Claude Code, and Cline in under 60 seconds with zero code changes.
Step-by-step diagnostic breakdown of why Cursor Composer hangs on tool calls, and 5 optimizations to eliminate agent latency.
Why traditional text routers manage API keys and fallbacks, while JEV gateways accelerate autonomous agent decision loops in 18ms.
JevProxy is the first machine-native reverse proxy built specifically for AI coding agents. Unlike basic routing proxies, JevProxy uses TypeSafe's System One RLCD decision models to intercept deterministic tool choices and control loops in sub-25ms at $0.0001, saving 90%+ latency and 95%+ token bills before requests ever reach frontier models.
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