Migration brief · JevBench v1.3.0

The request may stay familiar. The runtime does not.

OpenJev aims to fit TypeSafe request shapes while moving inference onto infrastructure you control.

That can make the first integration small and the production change substantial. Recheck image support, option limits, confidence behavior, and who operates the model.

Integration checkpoints

Treat compatibility as a starting point for migration tests

The systems have similar request shapes, but capabilities and operational behavior differ. Test the assumptions your application currently makes.

Composite score

Jev

74.4 · rank #1

OpenJev

66.4 · rank #11

The JevBench score provides context; your own latency and answer tests should decide a migration.

Calibration score

Jev

82.7

OpenJev

64.8

A compatible response field does not mean the same confidence threshold is safe to reuse.

Input capacity

Jev

Text and structured text

OpenJev

Up to 8 images

OpenJev handles visual payloads; Jev keeps requests to text and structured text.

Check the contract at the edges

The migration risk is concentrated in assumptions around the happy path.

01

The current SDK request already matches the shape you need.

OpenJev may ease migration

A compatible endpoint can reduce client changes. Run contract tests against every response field your app consumes.

02

You need image inputs or want inference on your own hardware.

OpenJev offers these options

Its implementation accepts images and supports local serving, subject to the documented hardware and option limits.

03

Confidence controls a threshold or escalation policy.

Recalibrate before switching

The confidence values are produced differently. Refit thresholds against a held-out dataset before using them for actions.

What moves with the endpoint?

Keep the request; re-evaluate the assumptions around it.

Jev · managed API

Provider-managed capacity and model versions

The application sends text or structured text and receives typed answers from a hosted production service.

  • No GPU, inference server, or local model upgrades to operate.
  • Jev is text-only and offers up to 255 options for a choice question.

OpenJev · self-host or hosted through Codiv

More control, plus a serving responsibility

OpenJev wraps DiffusionGemma and supports vLLM or MLX. You choose where it runs and own its capacity and update cycle.

  • The current vLLM image adjusts the upstream token limit; supported choice counts depend on the selected backend and model configuration.
  • Published setup calls for a 24GB GPU or Apple silicon with about 16GB free.

Before changing the base URL

A short regression checklist for an SDK-compatible swap.

Request shape
JevPOST /v1/systemone
OpenJevWire-compatible request; accepts Jev aliases
Choice size
JevUp to 255 options
OpenJevVerify against the selected backend and model configuration
Confidence
JevJevBench calibration 82.7
OpenJevEntropy-derived; JevBench calibration 64.8
Hosting
JevHosted API
OpenJevSelf-host with vLLM or MLX; hosted access via Codiv

Sources and scope

OpenJev here means razorback16’s DiffusionGemma-based project. It is independent of TypeSafe. JevBench scores describe the published configurations; verify the current repository and deployment requirements before migrating.

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