director-ai Files

Real-time LLM hallucination guardrail — NLI + RAG fact-checking

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2026-03-01	1.5 kB	0
v1.6.0 -- Credibility Hardening source code.tar.gz	2026-03-01	1.4 MB	0
v1.6.0 -- Credibility Hardening source code.zip	2026-03-01	1.6 MB	0
Totals: 3 Items		3.0 MB	0

What's New

Production Features Wired into Server

API key authentication (X-API-Key header, configurable via api_keys)
Correlation IDs (X-Request-ID echo/generate on every response)
Audit logging wired into /v1/review and /v1/process endpoints
Tenant routing via X-Tenant-ID header + /v1/tenants management API
Rate limiting via slowapi (rate_limit_rpm config)
Streaming oversight via WebSocket /v1/stream with StreamingKernel

Streaming Debug Mode

streaming_debug=True on StreamingKernel emits per-token snapshots (window_avg, trend_drop, accumulated_tokens)
TokenEvent.debug_info and StreamSession.debug_log for full trace

E2E Benchmark Proof

--baseline mode: unguarded hallucination rate
--compare mode: side-by-side delta table (baseline vs guarded)
--output-json for CI artifact upload
New benchmarks/ragbench_eval.py for real-world RAG pipeline evaluation
Regression suite: 6th test test_e2e_heuristic_delta (catch=70%, FPR=10%)

Documentation

Threshold Tuning Guide — heuristic vs NLI, domain presets, sweep instructions
KB Ingestion Tutorial — GroundTruthStore, VectorGroundTruthStore, ChromaDB, multi-tenant
Production Checklist — 12-item deployment readiness checklist
Streaming Architecture — ASCII diagram, NLI construction, debug mode docs

Test Coverage

835 tests pass, 0 failures across Python 3.10/3.11/3.12
19 new tests (auth, audit, tenant, streaming debug)

Source: README.md, updated 2026-03-01

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