# Current TIP Sync State

Updated: 2026-05-06 12:21 UTC

## Active Policy

- Put coordination notes and handoffs in this `sync/` folder and push to Gitea.
- Check sibling project sync folders first when context may span repos.
- Use TIPLLM only for TIP crawler/robot planning and extraction feedback.
- Write robot/crawler experience into the Gitea-backed TIPLLM training pool.
- Keep Erik safe: no heavy crawler waves or uncontrolled Playwright/discovery jobs on Erik.
- Use Proxmox/Pi workers for crawl load.

## Cross-Repo Sync

Claude Code also created a Gitea sync handoff in the LLM Gateway repo:

- Repo: `rene/llm-gateway`
- Path: `sync/`
- Commit shown by Claude: `e272105 sync: add chat handoff + context scaffolding for Codex integration (2026-04-29)`
- Gitea path: `http://192.168.178.196:3000/rene/llm-gateway/src/main/sync/`

When work touches TIP, Magatama, LLM Gateway, bridges, auth, or shared Erik infrastructure, read both:

- `transceiver-db/sync/CURRENT.md`
- `llm-gateway/sync/CURRENT.md`

## Latest Work

- MAGATAMA training + Attack Paths + Atlas exposure were corrected again on 2026-05-06:
  - the RunPod serverless training start failure was not a RunPod outage.
  - root cause was missing training scripts on Erik (`training_full_refresh.ts` and related helpers were absent under `/opt/magatama/scripts`).
  - Codex synced the full local `magatama/scripts/` tree to Erik, added a safe fallback in `scripts/model_registry_build.ts`, and synced the local `training-data/model-registry/` directory.
  - verified on Erik:
    - `pnpm training:refresh-all` now succeeds.
    - fresh dataset totals after dedupe:
      - `magatamallm`: `92,742` raw → `17,356` effective (`15,620 train / 1,736 eval`)
      - `fo_blogllm`: `32` total (`28 train / 4 eval`)
      - `tip_llm`: `40` total (`36 train / 4 eval`)
  - important nuance:
    - Codex did **not** execute the final Hugging Face publish step from Erik in this chat.
    - local/script/build failures are fixed; external dataset publish still depends on the selected dataset source and explicit publish intent.
- MAGATAMA Attack Paths UX is no longer a misleading blank panel:
  - the page now distinguishes between:
    - no live attack paths
    - historical fallback paths
    - empty selected scope (`0 assets in scope`)
  - when a user narrows the scope to a rack/location with zero scoped assets, the graph explicitly says so instead of looking broken.
  - live dashboard HTML on Erik now contains:
    - `Im aktuellen Scope liegen 0 Assets.`
    - `Erweitere Standort oder Datacenter / Rack, damit MAGATAMA korrelierbare Assets und Pfade darstellen kann.`
    - `Ohne offene mehrstufige Korrelationen bleibt die Graph-Sicht bewusst leer.`
- MAGATAMA code/training hardening was extended:
  - `scripts/test_runpod_adapter.py` no longer loads tokenizer/model with `trust_remote_code=True`.
  - `scripts/ollama_adapter_bridge.py` no longer loads tokenizer/model with `trust_remote_code=True`.
  - this removed the live CODE finding around `HuggingFace trust_remote_code` on Erik.
- Atlas exposure logic was tightened to stop reopening noisy LAN management findings:
  - generic `atlas-exposure` findings now only stay operationally open for exposure that is meaningful enough to track as a finding.
  - internal RFC1918 management/service ports discovered by the broad atlas scan are no longer promoted into open Guard findings just because they exist on the LAN.
  - host-specific posture for Proxmox / Erik / Mac Studio remains the job of explicit host-audit logic.
  - after rebuild + deploy + health sync:
    - live Postgres open findings returned to `0`.
- Follow-up hardening on the same block:
  - the earlier RunPod error path in MAGATAMA dashboard was made more truthful.
  - dataset preparation now distinguishes:
    - local `training:refresh-all` failure
    - optional Hugging Face publish failure
    - URL-based dataset mode with no external publish required
  - the training SSE flow now explicitly tells the operator whether RunPod is using:
    - Hugging Face dataset source
    - or MAGATAMA URL-bundle dataset source
  - this avoids misleading `RunPod not reachable` wording when the actual failure is in dataset preparation.
  - follow-up serverless verification on 2026-05-06 narrowed the remaining fault further:
    - MAGATAMA submit logic now verifies that a RunPod job really exists under `/status/{jobId}` instead of trusting `/run`.
    - payloads were aligned more closely with the official Axolotl serverless schema:
      - `model_type=AutoModelForCausalLM`
      - `tokenizer_type=AutoTokenizer`
      - dataset `split: train`
      - optimizer `adamw_torch_fused`
    - verified full run attempt:
      - job id `9bc4b16b-755b-465b-aadf-b46f2fe467a3-e2`
      - disappeared as `not_found_after_submit` (`404 job not found`)
    - verified canary after payload fix:
      - job id `a4ac6951-7ed7-43cb-80d8-5ab61533c2da-e2`
      - immediately materialized as `IN_QUEUE`
      - then still disappeared on later reconcile as `not_found_after_submit`
    - current conclusion:
      - the old MAGATAMA bug is fixed.
      - the remaining problem is now likely on the RunPod endpoint/release side: jobs are accepted and briefly queued, but do not survive long enough to produce a durable serverless status lifecycle.
    - operational rule:
      - do not treat `submitted` or a brief `IN_QUEUE` as proof of a usable serverless training run.
      - only trust the run once it reaches `IN_PROGRESS` or a durable terminal state with artifact evidence.
  - follow-up training count fix on 2026-05-06 corrected the Training UI source-of-truth:
    - MAGATAMA had still shown `1097` because the dashboard was counting the legacy deduplicated fix corpus instead of the current lane-specific RunPod export.
    - dashboard now prefers `training-data/runpod/magatamallm/manifest.json` for the visible MagatamaLLM training count.
    - synced current lane export to Erik and restarted `magatama-dashboard`.
    - verified public API now returns:
      - `collectedExamples = 1367`
      - `effectiveExamples = 1367`
      - `evalExamples = 152`
      - `totalExamples = 1519`
      - `newSinceLastTraining = 1367`
    - if the browser still shows `1097`, treat it as stale cached UI and hard reload.

- MAGATAMA was repaired end-to-end to a clean operational baseline:
  - live guard host-audits for Erik, Mac Studio, and Proxmox were corrected and rerun.
  - open findings were reduced all the way to `0` in Postgres.
  - false-positive Proxmox baseline findings were removed by teaching the audit to treat internal-only management ports and default-only rpcbind exposure as acceptable for this host.
  - code scanner false positives from generated/report artifacts remain excluded.
- Live MAGATAMA protection/runtime state after the 2026-05-06 remediation:
  - `open findings: 0`
  - `queueExecuting: 0`
  - `queueBlocked: 0`
  - `queueFailed: 0`
  - public `/api/health` returns `status: ok`
  - public `/api/active-resolvers` returns:
    - `MAGATAMA Core: working`
    - `MagatamaLLM: working`
    - `Claude (secondary): working`
    - `Codex (secondary/manual): idle`
    - `Copilot (secondary/manual): idle`
- Important resolver truth fix on 2026-05-06:
  - live `codex_enabled=false` in MAGATAMA settings was causing Codex to show as a broken resolver.
  - dashboard logic was updated so disabled Codex/Copilot now show truthfully as `idle` with `In MAGATAMA settings disabled`, instead of pretending there is a runtime outage.
  - the local codex bridge on Erik is reachable but currently reports `auth_required`; do not treat that as a production outage while Codex is intentionally disabled in settings.
- Remaining real operational gap after findings hit zero:
  - MAGATAMA still knows more assets than it actively telemeters.
  - last public protection proof showed:
    - `knownAssets: 79`
    - `hostsWithTelemetry: 27`
    - `assetsWithoutTelemetry: 52`
  - these are currently inventory/discovery-only assets, not open findings, but they remain the next real coverage expansion area.

- MAGATAMA cross-repo state from the same chat is now synced into this handoff:
  - Compliance framework cards in MAGATAMA are clickable and open per-framework requirement details.
  - MAGATAMA training status was corrected so `New Since Last Training` no longer falsely shows `0`.
  - Live verified/deduped MAGATAMA training state after the fix:
    - `collectedExamples: 49`
    - `rawExamples: 58`
    - `duplicateExamples: 9`
    - `effectiveExamples: 49`
    - `newSinceLastTraining: 49`
  - MAGATAMA now filters training metrics to verified/trainable examples only.
  - Failed/escalated MAGATAMA remediation records should go to `errors.jsonl`, not the main `fixes.jsonl`, so the next MagatamaLLM run does not train on junk.
  - Gitea-backed training pool remains the default target for training writes.
- MAGATAMA coverage-gap and training-integrity hardening on 2026-05-06:
  - the earlier `49` medium `atlas-coverage-gap` findings were traced to Atlas treating inventory-only and discovery-only assets as operational protection failures.
  - core logic was tightened so Atlas coverage findings now open only for managed operational assets:
    - exposure-backed assets
    - explicit non-auto owner
    - configured telemetry expectation
    - critical/high criticality
    - infrastructure metadata or managed infra device types
  - loopback and passive reference/inventory assets no longer reopen noisy guard findings.
  - local build succeeded, the new core dist was deployed to Erik, and the first post-deploy guard scan resolved stale findings.
  - live Postgres state after deploy: `open findings = 0`.
  - training integrity bug was fixed in `packages/core/src/learning/fix-tracking.ts`:
    - verified fixes now append to `training-data/gitea-learning-pool/magatamallm/fixes.jsonl`
    - failed/escalated/report-only runs now belong in `errors.jsonl`
  - two explicit Codex-written training entries were appended to the MAGATAMA Gitea-backed fixes corpus:
    - atlas coverage scope hardening
    - training path integrity fix
  - corpus cleanup + dedupe was executed afterward:
    - pre-dedupe backup kept locally as:
      - `magatama/training-data/gitea-learning-pool/magatamallm/fixes-pre-dedupe-20260506.jsonl`
    - resulting verified corpus:
      - `fixes.jsonl = 1,368` unique verified training rows
    - resulting failure corpus:
      - `errors.jsonl = 4` tracked failed/escalated rows
    - integrity report now exists at:
      - `magatama/training-data/gitea-learning-pool/magatamallm/corpus-integrity-report.json`
    - latest integrity totals:
      - `scanned: 1368`
      - `verified: 1368`
      - `movedToErrors: 4`
      - `parseErrors: 0`
      - `invalidVerifiedFlag: 0`
- Complete Codex chat sync was added:
  - `sync/history/2026-04-29-codex-complete-chat-sync.md`
  - captures Ghost/blog updates, LinkedIn voice preferences, LPO/AI-fabric blog edits, Rest-Is-Not-Laziness scheduling replacement, and security notes.
  - confirms no secrets were written into sync.
  - confirms TIP crawler/robot planning remains TIPLLM-only.
  - confirms Erik remains controller/light `erik-safe` only, with heavy crawler work assigned to Proxmox/Pi workers.
- Codex sync-start confirmation was added:
  - `sync/history/2026-04-29-codex-sync-start-confirmation.md`
  - confirms Codex read this TIP handoff, checked the sibling LLM Gateway handoff, and is treating `sync/` as binding.
  - no code changes, crawler jobs, queue waves, PM2 restarts, or Erik load were initiated during this confirmation.
- Codex follow-up on 2026-04-29 clarified the active BlogLLM model:
  - TIP shows `fo-blog-v7`, but this is not a normal Ollama GGUF manifest.
  - It is a local Adapter Bridge / Mac Studio model backed by the RunPod-trained PEFT adapter:
    `/Users/renefichtmueller/Desktop/Claude Code/magatama/training-data/runpod/pod-runs/2026-04-25-fo-tip/final/adapters/fo_blogllm/final-adapter`
  - Bridge definition:
    `/Users/renefichtmueller/Desktop/Claude Code/magatama/scripts/ollama_adapter_bridge.py`
  - TIP API default:
    `packages/api/src/llm/client.ts` uses `OLLAMA_LLM_MODEL || "fo-blog-v7"`.
  - `fo-blog-v8` remains the next training candidate, not the currently active TIP BlogLLM model.
- Full Codex session handoff was added:
  - `sync/history/2026-04-29-codex-full-session-handoff.md`
  - covers TIP verification, product image/detail crawling, Blog Engine Hot Topics, TIPLLM robots, training pool, Erik status, and cross-repo sync.
- Added a verification robot controller:
  - `packages/scraper/src/robots/verification-robots.ts`
  - command: `npm run robots:verification -w packages/scraper -- --status`
- Added TIPLLM robot experience writing:
  - `packages/scraper/src/crawler-llm/training-data-writer.ts`
  - writes raw robot audit rows and SFT records.
- Added Gitea training pool import to TIP learning-pool build:
  - `scripts/tip-learning-pool-build.ts`
  - imports `TIP_TRAINING_REPO/qa-pairs/*.jsonl` into the `tip_llm` lane.
- Added docs:
  - `docs/TIP_SELFLEARNING_WORKFLOW.md`
- Added package script:
  - `packages/scraper/package.json`
  - `robots:verification`

## Gitea Training Pool

- Existing local clone: `/tmp/tip-training-data`
- Gitea repo: `rene/tip-training-data`
- Latest pushed training commit:
  - `f1c83f8 crawl: add robot-status training records [2026-04-29T20:11:24.091Z]`
- First robot experience record was written to:
  - `/tmp/tip-training-data/qa-pairs/robot-control-high.jsonl`
  - `/tmp/tip-training-data/robot-experiences/2026-04-29.jsonl`

## MAGATAMA Training / Operations State

- Relevant local repo:
  - `/Users/renefichtmueller/Desktop/Claude Code/magatama`
- Latest confirmed live MAGATAMA findings state:
  - `open findings: 0` on `2026-05-06`
- Latest confirmed live resolver state:
  - `Codex` and `Copilot` intentionally `idle/disabled`
  - not a runtime outage, but a settings choice until gateway/bridge auth is intentionally re-enabled
- Latest confirmed live MAGATAMA training metric after dashboard fix:
  - `newSinceLastTraining: 49`
- Meaning:
  - the old `0` was incorrect.
  - the currently visible trainable MAGATAMA corpus is based on verified and deduplicated examples only.
- Latest corpus integrity state after cleanup:
  - operational Gitea-backed MAGATAMA training corpus is now much smaller but cleaner:
    - `1368` unique verified rows
    - `4` live failure/escalation rows in `errors.jsonl`
  - do not confuse raw historical volume with real trainable signal.
- Important training integrity rule:
  - report-only or failed/escalated records must not be treated as verified training fixes.
  - keep them separated from the main verified training corpus.

## Erik Status

- Synced TIPLLM robot/training code to `/opt/tip`.
- Did not start crawler jobs.
- Did not enqueue robot waves.
- Did not restart PM2 services.
- Remote scraper TypeScript build is passing after removing two stale misplaced remote-only duplicate files:
  - `/opt/tip/packages/scraper/src/scrapers/scheduler.ts`
  - `/opt/tip/packages/scraper/src/vendor-discovery-crawler.ts`
- `tip-api` and `tip-scraper-daemon` are online.
- Shared Erik note from the same chat:
  - MAGATAMA dashboard/core were redeployed during compliance/training fixes.
  - TIP crawler policy remains unchanged: Erik is controller/light runner only, not heavy crawl execution host.

## Last Live Verification Snapshot

From 2026-04-29:

- Total transceivers: `13,546`
- Price verified: `7,250`
- Image verified: `7,025`
- Details verified: `6,243`
- Fully verified: `5,812`
- Last price observation: `2026-04-29 19:15:53 UTC`
- Last stock observation: `2026-04-29 19:15:56 UTC`

## Safe Next Steps

1. Clone or pull Gitea `origin` on laptop/Claude Code.
2. Read this folder first.
3. For BlogLLM work, treat `fo-blog-v7` as Adapter Bridge / PEFT adapter, not as a `~/.ollama` GGUF model.
4. Also read `llm-gateway/sync/CURRENT.md` when work touches shared Erik infrastructure, LLM routing, bridges, auth, TIPLLM, or crawler orchestration.
5. For TIP robot/crawler planning, use TIPLLM only. Do not route this lane through external AI providers.
6. When training pools or model stats look suspicious, prefer verified-only counts and check whether failed/escalated rows polluted the corpus.
7. For MAGATAMA-adjacent work, keep writing learnings back into the Gitea-backed pool and avoid training on report-only pseudo-fixes.
8. If testing robots, start with dry runs only:

```bash
npm run robots:verification -w packages/scraper -- --status
npm run robots:verification -w packages/scraper -- --tipllm-plan --limit=3
npm run robots:verification -w packages/scraper -- --enqueue=details-fast-lane --profile=erik-safe --dry-run
```

9. Only dispatch real crawl work after deciding the target host:
   - Erik: `erik-safe`, tiny batches only.
   - Pi: `pi-fetch`.
   - Proxmox: `proxmox-heavy`.

## Dirty Worktree Note

There are existing uncommitted changes outside `sync/`. Some are Codex work from this session, some appear pre-existing or from earlier Claude/Codex work. Do not blindly revert them. Review `git status --short` before committing broader changes.

## Latest Sync Commits

- `6c42ca7 docs: add shared agent sync handoff`
- `8e7c5aa docs: link llm-gateway sync handoff`
- Pending after this update:
  - watch whether any future guard exposure findings are genuine operational issues or new false positives.
  - if failures still appear inside `fixes.jsonl`, scrub historic pollution and backfill `errors.jsonl`.