Jev API
TypeSafe's System One model. Send program state + typed questions, get back structured decisions in 70–500ms. Not text generation — typed, probabilistic answers you can branch on in code.
What is the Jev API?
Jev is a frontier System One model from TypeSafe AI, announced September 15, 2026. Built by Diogo Almeida (co-inventor of RLHF and InstructGPT at OpenAI), backed by $40M led by DCVC.
Unlike LLMs that generate text token-by-token, Jev evaluates your program state against a map of typed questions and returns structured answers — one per question — in a single parallel pass. That means:
| Jev | Frontier LLMs | |
|---|---|---|
| End-to-end latency | 70ms – 500ms | 3s – 329s |
| Input price | $0.042 / M tok | $0.20 – $10 / M tok |
| Output price | free | ~5× input |
| Structured-output errors | 0% (by construction) | 0.58% – 45.5% |
Source: TypeSafe AI & independent benchmarks. Jev is available in early access — you need a waitlisted API key. You can also access it through OpenRouter, Vercel AI Gateway, Netlify AI Gateway, and AIMLAPI.
The endpoint
One endpoint. Three question types. That's the entire API surface.
<API_KEY>Content-Type:
application/json
# Install: pip install typesafe-sdk from typesafe_sdk import Choice, Noul, Score, TypeSafeClient client = TypeSafeClient() response = client.system_one( state="I was charged twice for order A-104. Please refund.", questions={ "department": Choice( instructions="Which team should handle this?", criteria={ "billing": "Payment or subscription issues", "technical": "Bugs or integration problems", "sales": "Pricing or account questions", }, ), "frustration": Score( instructions="How frustrated is the customer?", criteria=["Calm", "Frustrated", "Very angry"], ), "refund_wanted": Noul( instructions="The customer explicitly asks for a refund", ), }, ) print(response.answers["department"].choice) # "billing" print(response.answers["department"].confidence) # 0.85 print(response.answers["frustration"].score) # 1.6 print(response.answers["refund_wanted"].noul) # 0.92
// Install: npm install @typesafe-ai/sdk import { choice, noul, TypeSafeClient } from "@typesafe-ai/sdk"; const client = new TypeSafeClient(); const response = await client.systemOne({ state: "I was charged twice. Please fix this ASAP.", questions: { category: choice("What is this about?", { billing: "Payment or subscription issues", technical: "Bugs or integration problems", other: "Anything else", }), urgent: noul("The message conveys urgency"), }, }); console.log(response.answers.category.choice); // "billing" console.log(response.answers.urgent.noul); // 0.88
The three primitives
The entire API is three question types. That's not a limitation — it's the design.
Choice
Picks one option from a set you define. Returns the chosen option, full probability distribution over all options, and confidence. Up to 255 options.
Score
Rates state along an ordered rubric (2–10 levels). Returns a probability-weighted position that can land between levels, plus per-level probabilities and confidence.
Noul
Yes/no as a probability. Returns a number from 0 (no) to 1 (yes). No separate confidence field — the number is the belief.
Patterns that change your architecture
Confidence-gated routing
Jev is trained with RLCD (Reinforcement Learning for Calibrated Decisions), so confidence is meaningful in aggregate: higher confidence = higher accuracy. Set different thresholds per action based on what being wrong costs.
action = response.answers["intent"] if action.confidence < 0.5: route_to_human(user_message) # genuinely unsure elif action.choice == "check_balance": show_balance(account_id) # read-only, low bar elif action.choice == "approve_transfer": if action.confidence > 0.85: # moves money, high bar approve_transfer(account_id) else: ask_user_to_confirm("Approve this transfer?")
Speculative fan-out
Questions are evaluated in parallel — a tenth question costs tokens but almost zero extra time. Ask everything up front and let code decide what mattered. TypeSafe's cookbook: 13-question batching is 12.2× cheaper and 10.0× faster than asking one at a time, with identical answers.
SDKs & integrations
How to get an API key
Jev is in early access. Join the waitlist at console.typesafe.ai/settings/keys. Once approved, export your key:
export TYPESAFE_API_KEY="sk-..."
No TypeSafe key yet? You can also access Jev through OpenRouter, Vercel AI Gateway, Netlify AI Gateway, or AIMLAPI — all listed above.
More resources
Official API reference — full HTTP spec, request/response shapes, error codes, rate limits.
TypeSafe Documentation — concepts, foundations, patterns, demos, cookbooks.
Introducing System One Models & Jev — the official launch post.
We also cover deeper topics on dedicated pages: Jev API Key guide, Jev Docs, Jev Model, System One explained, Jev vs Claude.