transceiver-db/sync/history/2026-05-09-magatama-multi-llm-training-lanes.md

MAGATAMA Multi-LLM Training Lanes

Date: 2026-05-09

Decision

MAGATAMA now treats the core specialized models as separate training lanes with separate behavior pools:

• magatamallm: MAGATAMA operations, cybersecurity, AI security, infrastructure security, resolver/fix workflows.
• fo_blogllm: Rene/Flexoptix-style blog writing, technical storytelling, market/blog structure.
• tip_llm: crawler/scraper/robot planning, source discovery, parser/selectors, switch/transceiver issue research.
• pulso_llm: Flexoptix product/support/diagnostic lane for switches, transceivers, compatibility, product fit and offers.
• contact_llm: structured, lawful contact discovery/research with attribution.

TIP_LLM and PulsoLLM share a network/transceiver/switch knowledge core, but their instruction and behavior pools stay separate.

Implemented In MAGATAMA

• Added pulso_llm and contact_llm to:
  • RunPod dataset builder
  • Gitea training pool sync
  • model registry build
  • RunPod submit path
  • HuggingFace/RunPod dataset publishing config
  • Susan/NAS training scan
  • full training refresh
  • dashboard training API/status
  • training modal UI
  • fine-tuner lane config and smoke prompts
• Added new lane profiles:
  • PulsoLLM
  • ContactLLM
• Added source catalog:
  • training-data/model-registry/research-source-catalog-2026-05-09.json
  • training-data/model-registry/external-ingest/llm-lane-research-seeds-2026-05-09.jsonl
• Added Gitea-backed seed pools:
  • training-data/gitea-learning-pool/pulso_llm/
  • training-data/gitea-learning-pool/contact_llm/

Source Seeds Added

• CISA KEV / CISA Malcolm / CISA ScubaGear
• NVD CVE API
• MITRE ATT&CK STIX/TAXII
• OWASP LLM Top 10
• Microsoft PyRIT
• Microsoft Agent Governance Toolkit
• Cisco Transceiver Module Group matrix
• Juniper Hardware Compatibility Tool
• Arista transceiver/cable references
• Flexoptix product/support references
• RFC 9309 robots.txt
• schema.org ContactPoint
• RFC 6350 vCard
• PeeringDB API
• RIPE Database REST API

Verified Counts

RunPod lane exports rebuilt and deployed live on Erik:

• magatamallm: 1375 train, 153 eval, 1528 total
• fo_blogllm: 17342 train, 1929 eval, 19271 total
• tip_llm: 276 train, 31 eval, 307 total
• pulso_llm: 28 train, 5 eval, 33 total
• contact_llm: 18 train, 4 eval, 22 total

Live Verification

• pulso_llm and contact_llm appear in the MAGATAMA training modal.
• RunPod provider is online for both new lanes.
• contact_llm status correctly reports neverTrained: true.
• pulso_llm / contact_llm are trainable but not adopted yet because no local Ollama model tags exist yet.

Operational Rule

Training success only counts when all of the following are true:

• RunPod reports completion.
• An artifact exists and is reachable.
• Local import succeeds.
• Smoke tests pass.
• The active alias/version is switched.
• The registry and dashboard show the new version.

If any part fails, the lane must stay in a non-adopted state.