sync: document fo-blog v7 TIP handoff
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Rene Fichtmueller
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@ -27,6 +27,15 @@ When work touches TIP, Magatama, LLM Gateway, bridges, auth, or shared Erik infr
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## Latest Work
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- Codex follow-up on 2026-04-29 clarified the active BlogLLM model:
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- TIP shows `fo-blog-v7`, but this is not a normal Ollama GGUF manifest.
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- It is a local Adapter Bridge / Mac Studio model backed by the RunPod-trained PEFT adapter:
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`/Users/renefichtmueller/Desktop/Claude Code/magatama/training-data/runpod/pod-runs/2026-04-25-fo-tip/final/adapters/fo_blogllm/final-adapter`
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- Bridge definition:
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`/Users/renefichtmueller/Desktop/Claude Code/magatama/scripts/ollama_adapter_bridge.py`
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- TIP API default:
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`packages/api/src/llm/client.ts` uses `OLLAMA_LLM_MODEL || "fo-blog-v7"`.
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- `fo-blog-v8` remains the next training candidate, not the currently active TIP BlogLLM model.
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- Full Codex session handoff was added:
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- `sync/history/2026-04-29-codex-full-session-handoff.md`
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- covers TIP verification, product image/detail crawling, Blog Engine Hot Topics, TIPLLM robots, training pool, Erik status, and cross-repo sync.
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@ -82,7 +91,8 @@ From 2026-04-29:
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1. Clone or pull Gitea `origin` on laptop/Claude Code.
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2. Read this folder first.
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3. If testing robots, start with dry runs only:
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3. For BlogLLM work, treat `fo-blog-v7` as Adapter Bridge / PEFT adapter, not as a `~/.ollama` GGUF model.
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4. If testing robots, start with dry runs only:
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```bash
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npm run robots:verification -w packages/scraper -- --status
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@ -90,7 +100,7 @@ npm run robots:verification -w packages/scraper -- --tipllm-plan --limit=3
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npm run robots:verification -w packages/scraper -- --enqueue=details-fast-lane --profile=erik-safe --dry-run
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```
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4. Only dispatch real crawl work after deciding the target host:
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5. Only dispatch real crawl work after deciding the target host:
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- Erik: `erik-safe`, tiny batches only.
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- Pi: `pi-fetch`.
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- Proxmox: `proxmox-heavy`.
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87
sync/history/2026-04-29-fo-blog-v7-tip-handoff.md
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87
sync/history/2026-04-29-fo-blog-v7-tip-handoff.md
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@ -0,0 +1,87 @@
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# 2026-04-29 FO-Blog v7 / TIP Handoff
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## Summary
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Rene asked where the model from the last days of training is located. The screenshot from TIP showed `fo-blog-v7` active with:
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```text
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BLOG_LLM_PROVIDER=ollama
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OLLAMA_LLM_MODEL=fo-blog-v7
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```
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Codex verified that the current active TIP BlogLLM is indeed `fo-blog-v7`, but it is not stored as a normal Ollama GGUF model named `fo-blog-v7`.
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## Finding
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`fo-blog-v7` is a virtual/local model name served by the Mac Studio Adapter Bridge.
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Bridge definition:
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```text
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/Users/renefichtmueller/Desktop/Claude Code/magatama/scripts/ollama_adapter_bridge.py
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```
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Actual trained adapter:
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```text
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/Users/renefichtmueller/Desktop/Claude Code/magatama/training-data/runpod/pod-runs/2026-04-25-fo-tip/final/adapters/fo_blogllm/final-adapter
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```
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Important adapter file:
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```text
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adapter_model.safetensors
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```
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Observed details:
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- Adapter directory size: about `169M`.
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- `adapter_model.safetensors`: about `161.5M`.
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- File timestamp: `2026-04-26 08:18`.
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- Base model in bridge: `Qwen/Qwen2.5-7B-Instruct`.
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- Bridge model name: `fo-blog-v7`.
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- Aliases include `fo-blog-v7:latest`, `fo-blog-v6`, `fo-blog-v6:latest`, `fo-blog-v6-runpod`, `fo-blog-v6-runpod:latest`.
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## TIP Wiring
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TIP API default model:
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```text
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/Users/renefichtmueller/Desktop/Claude Code/github-repos/transceiver-db/packages/api/src/llm/client.ts
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```
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Relevant behavior:
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```text
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const OLLAMA_URL = process.env.OLLAMA_URL || "http://localhost:11434";
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const LLM_MODEL = process.env.OLLAMA_LLM_MODEL || "fo-blog-v7";
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const BLOG_LLM_PROVIDER = process.env.BLOG_LLM_PROVIDER || "ollama";
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```
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TIP dashboard card:
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```text
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/Users/renefichtmueller/Desktop/Claude Code/github-repos/transceiver-db/packages/dashboard/index.html
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```
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The dashboard correctly labels the model as `fo-blog-v7` and "Adapter Bridge / Mac Studio".
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## Important Clarification
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Do not search for `fo-blog-v7.gguf` as the canonical artifact. Codex checked the local Ollama manifests and found visible manifests for older models such as `fo-blog-v5`, `fo-blog-v6`, and `fo-blog-v3-qwen7b`, but not a normal `fo-blog-v7` manifest.
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The correct artifact for the current `fo-blog-v7` is the PEFT adapter under the Magatama RunPod folder above.
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## Decision
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- Treat `fo-blog-v7` as the current active TIP BlogLLM model.
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- Treat `fo-blog-v8` as the next model/training candidate.
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- Keep the TIP crawler/robot planning lane TIPLLM-only.
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- Keep Erik cautious: controller/light `erik-safe` only.
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- Put heavy crawler execution on Proxmox/Pi workers.
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## Open Points
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- Verify the Adapter Bridge process health before a production blog-generation run.
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- Decide whether to package/export `fo-blog-v7` into a GGUF/Ollama manifest for easier discovery, or keep the PEFT adapter bridge as canonical.
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- When training `fo-blog-v8`, preserve the same handoff pattern: final adapter path, base model, bridge mapping, TIP env/default, and dashboard state must all be written into `sync/`.
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