zeredy879 /
SDK & Decision Frameworksminojev
Decisions, not tokens: minojev reads calibrated, typed probability distributions straight from hidden states in one forward pass — zero output tokens, fully reproducible on a laptop CPU.
What Jev Does in this Architecture
Key Architecture Benefit
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
Reviewed Source Code Evidence
Verified fixed-commit source files demonstrating genuine Jev integration:
Architecture Category
SDK & Decision Frameworks
Official & community SDKs, decision primitives, and Agent execution frameworks.
View all in this category →Related Projects in SDK & Decision Frameworks
dannote
jev
Integrates Jev as an asynchronous Elixir/OTP process whose replies are handled with GenServer pattern matching.
Sends state and typed questions to TypeSafe, then delivers answers as messages.
↳ Fits decision calls into existing message-handling and supervision patterns.
jomatsu
zod-jev
Adds semantic rules to Zod validation, such as checking whether text matches a description or contains personal information.
Combines semantic conditions from one parse into Jev Noul questions and maps probabilities to validation results.
↳ Uses Zod’s error structure to attach semantic validation issues to fields.
docxology
daf-jev
A Python toolkit for Jev requests, batch evaluation, calibration and MCP access.
Builds Noul, Choice and Score questions, then combines returned probabilities through local functions.
↳ Reuses request, failure-recording and evaluation interfaces across experiments.