TypeSafe Jev's

API Model ID:typesafe-jevs

The first System One AI model. Delivers ultra-fast, typed, zero-hallucination decisions at $0.042/1M tokens.

#System One#Deterministic#Zero Hallucination#Typed Decisions#Sub-Cent

Deploy with Gruvo All Models

Context Window256K tokens256,000 tokens

Max Output16K tokens16,000 tokens

Input Price$0.042per 1M input tokens

Output PriceFreeper 1M output tokens

Latency / Speed~70ms350 tokens/sec

Overview & Architecture

Jev is TypeSafe AI's breakthrough System One decision model, named after the Jevons Paradox. Unlike traditional generative LLMs, Jev does not produce unstructured conversational prose; instead, it ingests unstructured text or JSON and outputs deterministic, strictly typed decisions with calibrated confidence probabilities at sub-100ms latency and zero hallucination risk.

ArchitectureSystem One Constrained Decision Engine (Jevons Architecture)

Knowledge IndexCurrent (Continuously Indexed)

Benchmark Highlights

Schema Conformance100.0%

Zero-defect JSON & Protobuf typing conformance

Decision Latency70ms

Deterministic high-concurrency decision velocity

Confidence Calibration99.4%

Accurate probability distribution across decision spaces

Hallucination Resistance100.0%

Strictly constrained output space prevents free-form divergence

Supported Capabilities

Function Calling / Tools

Supported

Vision & Image Inputs

Audio & Voice Inputs

Structured JSON Mode

Supported

System Prompts

Supported

Streaming Completions

Supported

Prompt Caching

Supported

Engineering Strengths

Mathematically guaranteed 100% adherence to complex structured schemas and decision trees
Sub-80ms decision speed ideal for high-throughput transactional flows and routing
Calibrated probability scores allowing software to automatically gauge decision confidence
Extremely economical pricing: $0.042 per million input tokens with free output tokens

Recommended Production Workloads

Automated policy enforcement, risk scoring, and real-time fraud decisions
Instant intent classification and multi-agent workflow decision gates
System One runtime evaluations verifying whether upstream LLM outputs meet safety specs

Execute via Gruvo

Unified Endpoint

Connect through Gruvo with OpenAI-compatible client libraries. Gruvo translates requests, manages provider streaming, and applies caching automatically.

import OpenAI from "openai";

// Configure client with Gruvo's unified AI gateway
const gruvo = new OpenAI({
  baseURL: "https://api.gruvo.ai/v1",
  apiKey: process.env.GRUVO_API_KEY,
  defaultHeaders: {
    "X-Gruvo-Provider": "typesafe",
  },
});

const completion = await gruvo.chat.completions.create({
  model: "typesafe-jevs",
  messages: [
    { role: "system", content: "You are a production reasoning assistant." },
    { role: "user", content: "Analyze the architecture of our service." },
  ],
  temperature: 0.2,
});

console.log(completion.choices[0].message.content);