TypeSafe
Jev 1.13
jev-1.13
Total Context
32K
Max Output
N/A
Released
N/A
Input$0.042 / M tokens
Output$0 / M tokens
Jev Latest
jev-latestJev Latest provides access to the newest release of TypeSafe’s Jev model, a System One decision model built for fast, structured judgments in software. It evaluates text and application state against predefined questions, returning choices, yes/no probabilities, and scores that code can use directly. The Jev API supports classification, routing, and automated workflows, while Latest follows new releases in the Jev family.
Context Window
32K tokens
Release Date
Sep 18, 2026
Modalities
Jev Latest Pricing
| Input Price | Output Price |
|---|---|
| $0.042/M | $0/M |
Jev Latest API Capabilities
Reasoning
Not supported
Tool calling
Not supported
Temperature parameter
Not supported
Attachments
Not supported
Knowledge Base
—
Endpoint Protocols
systemone
Jev Latest Model Highlights
Structured judgments for application logic, with independent questions and probability signals.
Typed Decisions
Choice selects a predefined option, Noul returns a yes probability, and Score evaluates an ordered scale. Code can use these structured outputs directly.
System One Architecture
Jev Latest’s System One design evaluates typed questions independently and in parallel against the same state. Combine answers in code to build workflows without generated reasoning traces.
Probability Signals
Choice and Score include probability distributions and confidence. These signals support routing and review thresholds; confidence does not guarantee a correct decision.
Jev Latest Use Cases
Practical Jev API workflows for classification, scoring, content review, and agent routing.
Classification And Tagging
Use Jev Latest for text classification, intent detection, and text tagging. Assign predefined categories and labels so messages and records reach the appropriate workflow.
Support Triage And Scoring
Combine support ticket routing with sentiment analysis and urgency scoring. Use defined categories and scales to prioritize tickets and identify requests for human review.
Content And Answer Review
Apply content moderation rules and LLM answer verification criteria to text and reference material. Flag potential policy violations or unsupported answers, and route uncertain cases for review.
Agent Routing And Model Cascades
Support agent routing, tool call gating, and agent permission checks against explicit policies. Build an LLM cascade that escalates selected requests; application code controls execution, permissions, and fallback behavior.
How to Use Jev Latest 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-latest",
"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 Latest FAQs
Understand version selection, API integration, confidence, pricing, and model limitations before using Jev Latest on TokenHub.
What Is Jev Latest, And Where Are The TokenHub API Docs And SDK Tutorials?+
Jev Latest is the latest-release alias for TypeSafe’s Jev System One decision model. TokenHub’s structured decisions documentation covers API requests, responses, and Python/TypeScript SDK examples: https://tokenhub.com/docs/ai-model/system-one/create-system-one-decision. TokenHub provides API access; installing an SDK does not download model weights or establish an open-source license.
Jev Latest Vs Jev 1.13: Which Version And Context Limits Should I Use?+
Jev Latest follows new releases; Jev 1.13 selects a specific version. Choose Latest for updates, or pin a version when evaluations and confidence thresholds must remain tied to a known model. Use TokenHub’s listed context window and request limits for your route, and recheck them when Latest updates.
How Do I Call The Jev Latest API From Python Or TypeScript?+
Create a TokenHub API key, select the model ID shown on this page, and POST model, state, and questions to /v1/systemone at your TokenHub API root. Read the matching results in answers. Use Python requests, TypeScript fetch, or the TypeSafe SDKs typesafe_sdk and @typesafe-ai/sdk configured with TokenHub credentials and API root. See the TokenHub API docs for examples: https://tokenhub.com/docs/ai-model/system-one/create-system-one-decision.
Why Do I Get A 400 Error When Calling Jev Latest With Chat Completions?+
Jev Latest uses TokenHub’s /v1/systemone structured decision endpoint. If a 400 error indicates a protocol mismatch, check that you are not sending a chat/completions request. Send model, state, and a non-empty questions object, and validate each question’s type, instructions, and criteria. Follow the request format in the TokenHub API documentation: https://tokenhub.com/docs/ai-model/system-one/create-system-one-decision.
How Is Jev Latest Priced, And How Do I Calculate API Token Costs?+
Use TokenHub’s current input and output token rates, in the same currency and per-million-token unit. API cost = (billable input tokens × input rate + billable output tokens × output rate) / 1,000,000. If the output rate is zero, only the input term contributes. Check billable usage and current rates after a Latest update.
What Do Probability And Confidence Mean?+
Choice and Score probabilities describe the distribution over options or levels; confidence summarizes that distribution. Noul returns only the probability of yes. Confidence is not a guarantee of correctness: tune decision thresholds using representative application data.
Jev Latest Vs LLMs Like Claude: How Is It Different From JSON Structured Outputs?+
LLMs such as Claude generate text and can produce schema-constrained JSON. Jev Latest evaluates predefined Choice, Noul, and Score questions and returns decisions directly, without explanations. Choose Jev for classification, routing, and focused checks; use a generative LLM for conversation, writing, code generation, and extended reasoning. Arithmetic and multi-step tasks are poor fits for Jev, and valid output types do not guarantee correct decisions.
Ready to use Jev Latest?
Use one API key to access Jev Latest and more AI models through TokenHub.
Jev Latest Media and Demos
Selected announcements, tutorials, and community experiments about the Jev family behind Jev Latest. These are not benchmarks for the current Latest version.
X (Twitter)
Jev Family Launch Announcement
Diogo Almeida
View originalJev Family Public Access Announcement
TypeSafe AI
View originalVercel Reports Jev Family Adoption
Vercel
View originalReddit
Jev Family Agent Routing Experiment
blackbarata
View originalJev Family Project Idea Scoring Demo
stemonte
View originalJev Family Community Benchmark Discussion
View originalYouTube
Jev Family Setup Tutorial
Mikey No Code
View originalJev Family Community Examples And Demos
NiceKate AI
View originalJev Family And System One Models Explained
CampusX
View original