Prompt-injection detection with decision models

GitHub Action that asks Jev yes/no questions about each diff chunk for secrets, vulnerabilities, complexity and prompt injection.

MCP server giving agents typed Jev decisions (ask, choice, score, noul, batch) with calibrated probabilities via the OpenJEV API.

Jev Sentinel: guard for Pi, Claude Code and Codex that checks tool calls, tool outputs and replies, failing closed.

Local-first MCP server that returns only Jev-checked passages from big PDFs, Word files and spreadsheets, with exact row calculations.

Pre-execution hook for coding agents that lets shell commands run, asks a human, or blocks them, with optional Jev classification.

Thirty worked Jev uses in ten levels, from a smart if statement to a pi coding agent that writes its own Jev questions.

Zero-dependency HTTP traffic and bot defense gate that can escalate requests to Jev for five typed risk questions.

Buildathon entry adding failproofai policies plus Jev intent checks so an IT service-desk agent stops harmful actions.

Pilot that puts Jev into LangGraph routing and Deep Agents guardrails and claim verification, with executed notebooks and caveats.

Public Neon Function gateway that has Jev judge request bodies for prompt injection or unsafe replies before optionally forwarding them.

Paper code where Jev screens agent tool output for relevance and prompt injection before the agent reads it.

Portuguese study using Jev as a real-time guardrail and as a pre-evaluator for LLM-as-judge on customer-service agents.

Research code showing that short, natural-looking context additions can flip decision models like Jev to a chosen wrong answer.

OpenPoke fork sending yes/no decisions to Jev instead of Claude Sonnet, with an A/B on cost and latency and an injection-gate attack study.

Stdlib-Python guardrail and model router for LLM gateways on Jev, with an independent accuracy, calibration and latency evaluation.

Self-hostable calibrated decision model for images and text (Qwen3-VL-4B + LoRA) scoring 82.7 percent on public JevBench.

Precision-first RAG service where Jev routes queries, triages each retrieved chunk and verifies every claim before an answer is released.

Unofficial Go client for Jev with YesNo, OneOf and Levels constructors and typed answer accessors.

TypeScript guardrail library plus DeepSeek Harness plugin screening prompts, tool calls, results, responses and claims with Jev.

Node MCP server with a dozen fail-closed Jev judgment tools: verify, screen, find, rerank, classify, extract, review and gate.

LangChain and LangGraph middleware that screens tool outputs for prompt injection and gates risky tool calls with Jev.

Text review gateway between clients and AI services that classifies each user input with Jev and blocks or logs per configured scenarios.

Pi-based coding agent where a small judge (Jev by default) answers yes/no, choice and score questions at 38 decision points per turn.

Go reverse proxy between nginx and an LLM backend that extracts each request's user input, asks Jev if it is harmful, and blocks or passes.

Agent context compactor where Jev scores transcript segments to keep verbatim or move behind a recoverable pointer.

Video demo code comparing Jev with Laya, Strands Decider and Claude on grading, fetching and prompt-injection resistance.

nev-lite: 11.8M-parameter static-embedding decision head that scores fixed option sets with no transformer pass at inference.

Openlayer library packing agent evals and guardrails (tool choice, grounding, injection, PHI) into one decision-model request.

Benchmark of Jev versus Claude Haiku 4.5 as input safety classifiers on jailbreak, evasion and benign pseudo-harmful prompts.

Blind security benchmarks for Jev on public corpora: prompt-injection detection (96.5% with context) and vulnerable-code detection.