Llm Firewall Python Packages

sourcerykit

Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.

sovereign-shield

Deterministic AI defense framework: immutable input filtering, n-model cryptographic hash consensus, and self-learning adaptive rules. Zero dependencies. Hardware-sealed.

intentseal-core

Prompt-injection firewall for AI agents: inspects everything an agent reads (web, PDFs, email, RAG, images) and checks every action before it runs. Python SDK, LLM proxy, Security Console.

intentseal

Prompt-injection firewall for AI agents: inspects everything an agent reads (web, PDFs, email, RAG, images) and checks every action before it runs. Python SDK, LLM proxy, Security Console.

jailguard

Pure-Rust prompt-injection detector with 1.5MB embedded MLP classifier. 98.40% accuracy, p50 14ms CPU inference, bindings for Python/JS/Go. Apache-2.0/MIT alternative to Rebuff (archived) and Lakera Guard.

sovereign-shield-adaptive

Deterministic AI defense framework: immutable input filtering, n-model cryptographic hash consensus, and self-learning adaptive rules. Zero dependencies. Hardware-sealed.

agentshield-client

Prompt-injection firewall for LLM agents. 6-layer pipeline (normalize, regex, MiniLM classifier, output guard, policy, audit) at <4ms p95. Python SDK + open benchmark (5,972 samples, F1 0.921).

agentshield-py

Prompt-injection firewall for LLM agents. 6-layer pipeline (normalize, regex, MiniLM classifier, output guard, policy, audit) at <4ms p95. Python SDK + open benchmark (5,972 samples, F1 0.921).