Agent action approval with decision models
Approving, blocking or escalating a proposed agent action, such as a shell command or tool call, before it runs. Confidence thresholds decide when to auto-approve and when to ask a human.
162 public projects · page 6 of 6
spark-s1: local Jev-inspired decision models on Qwen3.5-4B for NVIDIA DGX Spark, trained on code- and solver-labelled decision rows.
ModelresearchPythonPython toolkit that evaluates LLM, RAG and agent outputs and guards tool calls with typed decision-model questions.
BenchmarkbetaPythonReproducible benchmark of Jev vs Claude Sonnet 5 on classifying agent tool calls as readonly, destructive, privileged or exfiltration.
BenchmarkresearchPythonXano template for an agent tool-call guardrail in which Jev decides and Xano enforces.
ProjectAI decision reliability control plane that evaluates autonomous agent actions with Jev before they run.
ProjectOpenRouter cookbook recipe gating agent tool calls with deterministic checks plus Jev Noul probabilities and fixed thresholds.
ArticleproductionDeepSeek Harness preset where Jev answers an agent's open end-of-turn questions, steering it on only above confidence and safety thresholds.
ArticleprototypeLangChain blog guide on wiring Jev into an agent harness as a dangerous-action classifier and model router.
Articlediscussionelvex blog on wiring Jev into an agent harness as a tool for search, approvals and context, citing 2,000 expense reports in 20 seconds.
ArticlediscussionTenuo blog post pairing the typed-decision loop with scoped authority so confidence only authorises what scope already allows.
ArticlediscussionX post reporting tests of Jev checking each agent action first, catching most attacks with almost no false blocks.
DiscussiondiscussionGuillermo Rauch's X post: Jev reviews every command in Vercel's fx tool as a safety reviewer, faster and more accurate than a chat model.
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