Two-stage LLM pipeline for Flexoptix-style blog generation:
- tip_blog_angle: identifies the real production situation as article angle (JSON)
- tip_blog_draft: writes continuous prose article — no headers, no bullets,
no AI filler. Gold article included as few-shot reference. v2.0.0 with
absolute format rules, DR4 wavelength correction (1310nm), fiber scope
vs OPM distinction, no invented firmware versions.
- completion.ts now uses taskType directly for resolvePrompt (not decision.prompt_template)
so tip_transceiver_enrich.yaml is used instead of generic_qa fallback template
- routing-rules.yaml: +40 task type entries for TIP (8), EO Pulse (8), SwitchBlade (9),
PeerCortex (6), NOGnet (9), internal (2) — all with correct model tier assignments
- qwen2.5:3b for fast tasks (classify, short outputs)
- qwen2.5:14b for medium (most analysis tasks)
- qwen2.5:32b for large (blog posts, detailed reports, CSRD)
Gateway was reading ollama_base_url from YAML (192.168.178.169) instead of
OLLAMA_URL env var (https://ollama.fichtmueller.org). Fix getOllamaBaseUrl()
to prefer process.env['OLLAMA_URL'] and update YAML default to CF tunnel.
Gateway and learning DB clients now prefer DATABASE_URL connection string
over individual DB_* env vars — matches ecosystem.config.cjs convention.
Ollama health check timeout increased 5→15s for Cloudflare tunnel latency.
- Update OLLAMA_URL from 192.168.178.169 to https://ollama.fichtmueller.org
- Fix port from 3100 to 3103 (3100 was taken by Docker proxy on Erik)
- Fix DATABASE_URL password to llm_secure_2026
- Add GITEA_URL env var for ban list sync
- Add 35 prompt templates: TIP (10), EO Global Pulse (8), SwitchBlade (9),
PeerCortex (3), internal (3), ShieldX (1), general (1)
