Jev in production › SDKs and workflow integrations
vLLM Playground
Experimental Decision Models tab in a self-hosted vLLM management UI lets users run structured-read decisions through Jev alongside DiffusionGemma.
- Use
- SDKs and workflow integrations
- Industry
- Developer tools
- Form
- Open-source tool
- Stage
- Beta
- Plugs into
- vLLM
- Listed
- 2026-10-17
- Found via
- github
- Repository
- micytao/vllm-playground
- Stars
- 543
- Forks
- 77
- Last push
- 2026-10-16
- Language
- JavaScript
- License
- Apache-2.0
The README opens with
A modern web interface for managing and interacting with vLLM servers (www.github.com/vllm-project/vllm). Supports GPU and CPU modes, with special optimizations for macOS Apple Silicon and enterprise deployment on OpenShift/Kubernetes.
Generate images, edit photos, create speech, and produce music - all with vLLM-Omni integration.
Run Claude Code with open-source models served by vLLM - your private, local coding assistant.
MCP (Model Context Protocol) integration enables models to use external tools with human-in-the-loop approval.
Badge
For the project's own README, linking back here:
Also used for sdks and workflow integrations
- JarvisCore (Prescott Data) 434 ms median warm
- Jev for Apple Foundation Models 40–150ms
- Laravel Jev 70–500ms
- JevForce 11.1×
- Semantic Validator 90
- openpave-jev 35 to 500 milliseconds
- Yao Agents 70–500ms
- Juspay NeuroLink ~$0.00002/decision