Show HN: An open-source LLM guardrail powered by Jev
Jev Guard A contextual LLM guardrail powered by Jev System One. Submit text as user input, retrieved content, tool output or model output and receive a local allow / review / block decision plus ten OWASP risk assessments. Try the live demo — enter Turkish or English text, select its context, and inspect the decision and JSON result.
- ▪Jev Guard A contextual LLM guardrail powered by Jev System One.
- ▪Submit text as user input, retrieved content, tool output or model output and receive a local allow / review / block decision plus ten OWASP risk assessments.
- ▪Try the live demo — enter Turkish or English text, select its context, and inspect the decision and JSON result.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,136 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/gulbaki/jev-llm-guard |
| Publication time | Thu, 01 Oct 2026 10:28:16 +0000 |
| Retrieval time | 2026-10-01T10:32:32.687Z |
| Last seen | 2026-10-01T10:32:32.687Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | kcO02B92DSWI · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Jev Guard A contextual LLM guardrail powered by Jev System One. Submit text as user input, retrieved content, tool output or model output and receive a local allow / review / block decision plus ten OWASP risk assessments. Try the live demo — enter Turkish or English text, select its context, and inspect the decision and JSON result. The taxonomy follows OWASP LLM Top 10 2026. Scores represent textual risk signals, not calibrated vulnerability probabilities. Application-level risks that cannot be verified from the supplied information return needs_context. Jev provides semantic scores; this package validates the response and applies a versioned decision policy. Local demo Node.js 20 or later is required. npm install cp .env.example .env # Fill in your API key, matching endpoint and model.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.
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