glpi-neuroforge-mega/docs/RELEASE-v1.5.2.md

GLPI NeuroForge Mega v1.5.2

v1.5.2 fixes a real autonomous-research failure observed with a narrow FortiClient SSLVPN 7200 goal. SearXNG itself returned relevant Fortinet sources for a focused query, while NeuroForge's deterministic planner sent the complete goal description and target as one oversized query. With a mixed general,science,it category configuration this allowed arXiv results to dominate the top-N; the strict relevance gate then correctly rejected every result, leaving the cycle with zero evidence.

Fixes

• Deterministic goal research no longer sends title + full description + target to SearXNG when autonomy.use_llm=false.
• The first deterministic query is the compact goal title; an optional second query adds only a small number of non-generic description terms.
• Scheduler/process text remains excluded from all search queries.
• Goal-bound research retries once with SearXNG category=general when the configured category mix returns no goal-anchored result.
• The strict pre-fetch relevance gate remains fail-closed; it is not weakened to compensate for bad search ranking.
• Regression coverage reproduces the observed general,science,it -> unrelated arXiv result set and verifies that the general fallback returns and learns FortiClient 7200 evidence.

Validation

All four Go modules pass go test ./..., go vet ./..., and go build ./.... Race checks pass for NeuroForge brain/store/http/research, Agent core/config/knowledge/learning/state, Knowledge staging/store/server, and Control.

The real Docker/SearXNG/Ollama host smoke remains a deployment-host gate.