Version Reference
TypeSafe Jev Version & Model Changelog: Aliases, Releases, and Ecosystem Updates
Track official TypeSafe Jev model versions, alias targets (jev-latest, jev-preview), SDK updates, and gateway release milestones.
This page logs dated model releases, active model aliases, SDK versions, gateway availability, and limit changes for TypeSafe Jev.
As of September 2026, the current production model version is jev-1.13.0. The default SDK alias jev-latest routes to jev-1.13.0. For testing upcoming model iterations before promotion to stable, TypeSafe maintains the jev-preview alias.
Current Active Aliases and Endpoints
| Alias / Identifier | Current Target | Recommended Usage | Provider / Endpoint |
|---|---|---|---|
jev-latest | jev-1.13.0 | Default SDK target for production workloads; automatically tracks the latest stable checkpoint. | POST api.typesafe.ai/v1/systemone |
jev-1.13.0 | jev-1.13.0 | Explicitly pinned production version; guarantees identical weight representations and threshold calibration. | POST api.typesafe.ai/v1/systemone |
jev-preview | jev-1.13.0 (currently identical) | Pre-release alias designated for testing new checkpoints before general promotion. | POST api.typesafe.ai/v1/systemone |
typesafe/jev-1.13 | jev-1.13.0 | OpenRouter decisions alpha endpoint. | POST openrouter.ai/api/alpha/decisions |
typesafe-ai/jev | jev-1.13.0 | Vercel AI SDK community provider identifier. | Vercel AI SDK transport connector |
Chronological Release Ledger
September 18, 2026: Gateway Expansions
- OpenRouter Decisions Alpha: OpenRouter deployed a dedicated decisions API endpoint (
POST /api/alpha/decisions) supportingtypesafe/jev-1.13with multi-provider routing and token billing. - Vercel AI SDK Community Provider: Community transport provider released enabling Jev integrations via standard
@ai-sdk/providerinterfaces.
September 15, 2026: TypeSafe Public Launch & Jev 1.13
TypeSafe AI emerged from stealth with a $40 million seed funding round led by DCVC, introducing the Jev System One decision model.
- Production Model:
jev-1.13.0deployed to production inference cluster. - API Availability:
POST https://api.typesafe.ai/v1/systemoneopened in early-access. - Pricing Introduced: Input tokens priced at $0.042 per million ($42 per billion tokens); output tokens unmetered ($0.00 rate).
- Core Primitives: Support for
Choice(2–255 options),Score(2–10 ordered levels), andNoul(calibrated probability). - Early-Access Limits: Concurrency ceiling set to 1,200 requests per minute and 250,000 tokens per second per organization. Context window established at 64,000 tokens total (32,000 tokens for state plus longest question).
- SDK Packages Released:
- Python:
typesafe-sdkpublished to PyPI. - TypeScript / JavaScript:
@typesafe-ai/sdkpublished to npm.
- Python:
Pinned Versions vs. Aliases: Best Practices
When deploying Jev to production software, choose between pinned versions and dynamic aliases based on your thresholding strategy:
- Use pinned
jev-1.13.0if you use hardcoded confidence gates: Probability calibration curves can shift slightly between minor model releases. If your application code branches on strict numerical cutoffs (e.g.,if confidence >= 0.91:), pin the explicit versionjev-1.13.0to avoid unintended automation behavior when new models are promoted. - Use
jev-latestif you want automatic improvements: If your application uses Jev primarily for relative scoring, rankings, or coarse routing with human fallback queues,jev-latestensures you automatically receive accuracy updates and latency improvements without redeploying code.
Related Context
Jev API Reference & Schema Specification
implementationHow to Use TypeSafe Jev: Setup and Quickstart
implementationJev Pricing & Workload Calculator
conceptJev Rate Limits & Concurrency Ceilings
concept