llmverify-npm
You need a safety layer between your LLM and your users.
...Local-first verification, safety monitoring, and guardrails for any LLM
100% Local | No Telemetry | Privacy-First | 500 free calls/day
Links
Product Page: subodhkc.com/products/llmverify
npm: npmjs.com/package/llmverify
GitHub: github.com/subodhkc/llmverify-npm
Python Package (PyPI): github.com/subodhkc/llmverify
Author: Subodh KC — AI governance, compliance, and security leader
Feature One-liner What it catches
Verify output await verify(aiResponse) Hallucinations, harmful content, quality issues
Block injections isInputSafe(userMessage) Prompt injection, jailbreaks, malicious input
Redact PII redactPII(text) Emails, phones, SSNs, credit cards, API keys
Fix broken JSON repairJSON(broken) Missing brackets, trailing commas, unquoted keys
Monitor health monitorLLM(client) Latency spikes, token drift, behavioral changes
Sentinel tests sentinel.quick(client, model) LLM regressions b