Jev in production › SDKs and workflow integrations
langgraph-jev
Jev runs as a LangGraph node that routes tasks deterministically and flags low-confidence cases for human review.
The source publishes no measured number.
- Use
- SDKs and workflow integrations
- Industry
- AI infrastructure
- Form
- Open-source tool
- Stage
- Announced
- Plugs into
- LangGraph
- Listed
- 2026-10-01
- Found via
- discord
- Repository
- iroy2000/langgraph-jev
- Stars
- 3
- Forks
- 0
- Last push
- 2026-09-30
- Language
- Python
- License
- MIT
The README opens with
langgraph-jev is an open-source LangGraph/LangChain integration for Jev, TypeSafe's typed probabilistic decision API. JevNode wraps it as a decision node you drop into an agent graph -- it's not an LLM and not an LLM wrapper.
Jev evaluates typed questions against state and returns typed answers with probabilities and confidence attached. There's no text generation and nothing to parse -- your code branches on, sorts by, and routes with the result directly.
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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