Jev 1.13
jev-1.13Jev 1.13 is TypeSafe AI's first System One decision model, built for structured AI judgment rather than text generation. It analyzes provided context and returns structured choices, scores, and confidence-based decisions. Designed for classification, routing, evaluation, and automation workflows, Jev delivers fast, predictable AI decisions with low latency and efficient token usage.
Context Window
32K tokens
Maximum Output
0 tokens
Release Date
Sep 18, 2026
Modalities
Jev 1.13 Pricing
| Input Price |
|---|
| $0.042/M |
Jev 1.13 API Capabilities
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
Jev 1.13 Model Highlights
A TypeSafe model designed for fast, bounded decisions inside software.
Typed Decisions
Returns choices, rubric scores, and yes/no probabilities within developer-defined answer spaces instead of generating prose.
Calibrated Probabilities
Trained to make probabilities reflect uncertainty, helping applications set review thresholds. Calibration does not guarantee individual correctness.
Parallel Question Evaluation
Reads shared state once and evaluates multiple questions in parallel, supporting collections of small judgments in one request.
Jev 1.13 Use Cases
Practical workflows built around explicit choices, scoring criteria, and review thresholds.
Support Ticket Routing
Classify incoming messages into defined teams or intents, then use confidence thresholds to identify cases needing review.
Customer Message Scoring
Apply explicit rubrics to assess frustration or urgency, producing scores that help prioritize a review queue.
Refund Request Triage
Evaluate refund intent, evidence, and policy conditions separately; combine the results with deterministic checks before routing for action or review.
How to Use Jev 1.13 via the TokenHub API
curl 'https://us-api.tokenhub.com/v1/systemone' \
-X 'POST' \
-H "Authorization: Bearer $TOKENHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "jev-1.13",
"questions": {
"department": {
"criteria": {
"billing": "Charges and refunds",
"technical": "Product defects"
},
"instructions": "Which team should handle this ticket?",
"type": "choice"
},
"needs_refund": {
"instructions": "Does the customer explicitly request a refund?",
"type": "noul"
},
"urgency": {
"criteria": [
"Routine",
"Needs attention",
"Critical"
],
"instructions": "How urgent is this ticket?",
"type": "score"
}
},
"state": {
"ticket": "I was charged twice. Please refund the duplicate charge."
}
}'Jev 1.13 FAQs
Capabilities, limitations, model selection, and integration considerations.
What Is Jev 1.13?+
It is TypeSafe's System One decision model. It accepts text-based state and typed questions, returning structured decisions and probabilities rather than prose.
When Should I Choose Jev 1.13?+
Choose it for bounded classification, routing, and rubric scoring. Use a generative or reasoning model when you need written answers, code, explanations, or complex multi-step reasoning.
What Makes Jev 1.13 Useful for Automation?+
Defined answer spaces make results easier for code to consume. Parallel evaluation and uncertainty estimates help build decision workflows, but valid output types do not guarantee correct decisions.
What Are Jev 1.13's Main Limitations?+
It accepts text only. TypeSafe documents weaknesses in arithmetic, date comparisons, indirect instructions, and irrelevant long context. Keep exact calculations in code and validate on representative data.
How Should I Integrate Jev 1.13 Through TokenHub?+
Confirm TokenHub's availability, model ID, and decision-request format before integration. TypeSafe's native API uses POST /v1/systemone; do not assume ordinary chat-completion compatibility.
How Much Does Jev 1.13 Cost?+
As verified on September 21, 2026, TypeSafe lists US$0.042 per million input tokens and free output tokens. TokenHub pricing and account availability must be checked separately.
Ready to use Jev 1.13?
Use one API key to access Jev 1.13 and more AI models through TokenHub.
Jev 1.13 Media and Demos
Verified public links covering Jev 1.13 integrations and the broader Jev family. Community demonstrations are not independent model benchmarks.
X (Twitter)
TypeSafe AI
Jev family: TypeSafe announces its public debut and invites developers to access Jev.
View originalTypeSafe AI
Jev family: the official account announces access without a waitlist and links to the TypeSafe console.
View originalRuirui Wan
A community integration uses Jev 1.13 through OpenRouter to guide browser actions in Ego Lite.
View originalReddit
blackbarata
Jev family: a developer shares two agent-routing experiments and asks how others handle uncertain decisions.
View originalstemonte
Jev family: an open-source demonstration scores project ideas using parallel questions and classifications.
View originalPoppaBear1950
A community report describes integrating Jev 1.13 through OpenRouter, including request formats, response shapes, and error-handling pitfalls.
View originalYouTube
Syntax
Jev family: an introductory walkthrough explains the model with demonstrations and practical use cases.
View originalCodevolution
Jev family: a developer tutorial introduces structured AI decisions and using Jev in applications.
View originalNate Herk | AI Automation
Jev family: a creator explores twelve use cases and shares impressions from trying the model.
View original