https://pypi.org/project/fie-sdk/ Recent updates to the Python Package Index for fie-sdk en https://pypi.org/project/fie-sdk/1.11.0/ Adversarial Detection & Reliability Toolkit for LLMs. 11-layer parallel adversarial detection, PAIR v3 semantic classifier (96.25% TPR / 14.67% FPR on novel unknown attacks), output-side scanning, streaming interception, feedback loop, domain-aware thresholds. Three-zone confidence routing, crescendo multi-turn tracking, fail-secure UNCERTAIN zone, Llama Prompt Guard 2 via Groq. Works fully offline or with a server. ayushsingh355vns@gmail.com Tue, 02 Jun 2026 14:12:09 GMT https://pypi.org/project/fie-sdk/1.10.1/ Adversarial prompt detection + LLM hallucination monitoring. 11-layer parallel detection engine, output-side scanning, streaming interception, feedback loop, domain-aware thresholds. Three-zone confidence routing, crescendo multi-turn tracking, fail-secure UNCERTAIN zone, Llama Prompt Guard 2 via Groq. Works fully offline or with a server. ayushsingh355vns@gmail.com Sat, 30 May 2026 11:24:33 GMT https://pypi.org/project/fie-sdk/1.10.0/ Adversarial prompt detection + LLM hallucination monitoring. 11-layer parallel detection engine, output-side scanning, streaming interception, feedback loop, domain-aware thresholds. Three-zone confidence routing, crescendo multi-turn tracking, fail-secure UNCERTAIN zone, Llama Prompt Guard 2 via Groq. Works fully offline or with a server. ayushsingh355vns@gmail.com Thu, 28 May 2026 03:59:24 GMT https://pypi.org/project/fie-sdk/1.9.0/ Adversarial prompt detection + LLM hallucination monitoring. 11-layer parallel detection engine with domain-aware thresholds and output-side adversarial scanning. Three-zone confidence routing, crescendo multi-turn tracking, fail-secure UNCERTAIN zone, and Llama Prompt Guard 2 via Groq. Works fully offline or with a server. ayushsingh355vns@gmail.com Wed, 27 May 2026 13:41:00 GMT https://pypi.org/project/fie-sdk/1.8.0/ Adversarial prompt detection + LLM hallucination monitoring. 11-layer parallel detection engine: regex, prompt_guard, pair_classifier, GCG suffix, many-shot, indirect injection, direct harm, token smuggling, virtualization/scenario-stacking, fiction-wrapped jailbreaks, and multilingual injection (8 languages). Three-zone confidence routing, crescendo multi-turn tracking, LlamaGuard via Groq. Works fully offline or with a server. ayushsingh355vns@gmail.com Tue, 26 May 2026 16:11:41 GMT https://pypi.org/project/fie-sdk/1.7.0/ Adversarial prompt detection + LLM hallucination monitoring. Parallel 8-layer detection engine with weighted voting, three-zone confidence routing, power-law MSJ calibration, behavioral drift detection, direct harmful intent layer, and CWD auto-injection. Works fully offline or with a server for shadow-jury verification and auto-correction. ayushsingh355vns@gmail.com Tue, 26 May 2026 04:20:53 GMT https://pypi.org/project/fie-sdk/1.6.0/ Adversarial prompt detection + LLM hallucination monitoring. Parallel 7-layer detection engine with weighted voting, three-zone confidence routing, LlamaGuard Tier-3 tiebreaker, and multi-turn session tracking. Works fully offline or with a server for shadow-jury verification and auto-correction. ayushsingh355vns@gmail.com Sun, 24 May 2026 06:30:07 GMT https://pypi.org/project/fie-sdk/1.5.1/ Adversarial prompt detection + LLM hallucination monitoring with inline pre-flight blocking — works offline, or with a server for full shadow-jury verification and auto-correction ayushsingh355vns@gmail.com Mon, 18 May 2026 04:38:13 GMT https://pypi.org/project/fie-sdk/1.4.1/ Adversarial prompt detection + LLM hallucination monitoring — works offline with zero setup, or with a server for full shadow-jury verification and auto-correction ayushsingh355vns@gmail.com Wed, 06 May 2026 10:01:06 GMT https://pypi.org/project/fie-sdk/1.4.0/ Adversarial prompt detection + LLM hallucination monitoring — works offline with zero setup, or with a server for full shadow-jury verification and auto-correction ayushsingh355vns@gmail.com Tue, 05 May 2026 19:08:13 GMT https://pypi.org/project/fie-sdk/1.3.0/ Adversarial prompt detection + LLM hallucination monitoring — works offline with zero setup, or with a server for full shadow-jury verification and auto-correction ayushsingh355vns@gmail.com Mon, 04 May 2026 18:58:53 GMT https://pypi.org/project/fie-sdk/1.2.0/ Monitor, diagnose, and auto-correct LLM failures — with XGBoost failure classification, question-type routing, auto-calibrating thresholds, Wikidata/Serper ground truth, and production analytics ayushsingh355vns@gmail.com Thu, 30 Apr 2026 11:16:19 GMT https://pypi.org/project/fie-sdk/1.1.0/ Monitor, diagnose, and auto-correct LLM failures — with XGBoost failure classification, question-type routing, auto-calibrating thresholds, Wikidata/Serper ground truth, and production analytics ayushsingh355vns@gmail.com Wed, 29 Apr 2026 18:02:50 GMT https://pypi.org/project/fie-sdk/0.3.0/ Monitor, diagnose, explain, and auto-correct LLM failures — with ground truth verification, Wikidata/Serper verification, confidence-weighted shadow consensus, and human escalation ayushsingh355vns@gmail.com Wed, 08 Apr 2026 19:29:02 GMT https://pypi.org/project/fie-sdk/0.2.0/ Monitor, diagnose, explain, and auto-correct LLM failures with shadow-model analysis, explainability, and secure multi-tenant tooling ayushsingh355vns@gmail.com Fri, 27 Mar 2026 17:24:52 GMT https://pypi.org/project/fie-sdk/0.1.0/ AI Failure Intelligence Engine — automatically monitor your LLM for hallucinations, adversarial attacks, and model degradation ayushsingh355vns@gmail.com Fri, 20 Mar 2026 18:22:24 GMT