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glpi-neuroforge-mega/RELEASE-NOTES-v1.6.2.md
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2026-09-09 11:10:31 +02:00

2.1 KiB

GLPI NeuroForge Mega v1.6.2

Consolidated production release

v1.6.2 is the canonical full repository release. It keeps the v1.6.1 runtime/data format and recovery/OOM hotfixes, and consolidates all previously split deployment variants into one coherent tree.

Included deployment modes

  • Full Mega stack with local CPU/GPU workers.
  • Distributed Master with remote CPU and GPU subagents.
  • Standalone GLPI Agent using a local vector backend.
  • Standalone Knowledge service.
  • Standalone Ollama.
  • Combined Agent + Knowledge + Ollama core stack without NeuroForge.
  • Prometheus/Grafana example monitoring on the distributed Master, including payload/queue/graph metrics and alerts.

Packaging / CI corrections

  • Restores the complete v1.6.1 NeuroForge recovery hardening and graph/orchestrator source tree.
  • Includes complete .env files with safe placeholders for Master, CPU subagent, GPU subagent and standalone roles.
  • Removes embedded real credentials from deployment examples.
  • Replaces conflicting release workflows with one root CI workflow and one immutable tag release workflow.
  • CI covers NeuroForge, Agent, Knowledge and Control plus all six project images.
  • docker-bake.hcl builds NeuroForge server/worker, Agent, Agent data-init, Knowledge and Control.
  • Removes nested/legacy workflow copies and stale duplicate compose files.
  • Regenerates a single repository manifest for the exact final archive.

Runtime safety inherited from v1.6.1

  • Streaming compaction of legacy terminal vector.relink payloads before normal state loading.
  • Completed relink payload/result blobs are discarded after successful Master apply and during WAL recovery.
  • Bounded pending durable job payload bytes.
  • HNSW delta checkpoints avoid full graph/vector deep copies.
  • Index-first checkpoint ordering and fail-closed authoritative JSON recovery.
  • /livez and a bootstrap /admin page are available while store recovery is still running.
  • Conservative graph backfill and job-retention defaults for large Knowledge corpora.

There is no intentional persisted-data-format break from v1.6.1 to v1.6.2.