Roadmap

Planning index only. Architecture and acceptance tests stay in spec.md. C4 views: c4.md. Do not put hostnames, LAN addresses, or SKUs here.

Current line

Phase	Status	What it is
1 — inference host	Done on the workstation lab	Ollama + starter tags on a private GPU
2 — MCP bridge	Done	`local-coding-slm` stdio tools; Cursor / Copilot / Claude adapters
3 — measure	Protocol + expanded corpus + harder multi-file suite + MCP apply gate + CI; live rates still informal	Layered scoring; scripted premium routing/review; no auto-classifier yet
T12 Part A second NVIDIA host	Blocked on host power	WSL GPU via SSH; see examples/downstairs-wsl-gpu.md
T12 Part B Copilot A8 / Claude A9	Config ready; operator clicks pending	Same-machine only; docs/a8-a9-operator-checklist.md

Finish Phase 3 measurement (layered live rates on the committed corpus) and the existing second-host checks before treating Halo as the next lab.

Use an AMD Ryzen AI Halo-class box as another private Ollama host. The MCP server stays on the workstation. Premium agents still plan and review.

This is not a second product. It is the same bridge with a different OLLAMA_BASE_URL (or the same loopback URL behind ssh -L).

Stdio MCP on the workstation; no listening port
Tools: local_status, local_code, local_refactor, local_generate_tests, local_explain, local_review
Env contract: OLLAMA_BASE_URL, OLLAMA_FAST_MODEL, OLLAMA_STRONG_MODEL, OLLAMA_NUM_CTX
Starter tags: qwen3.5:9b / devstral-small-2
No public tunnels; cloud agents out of scope
Official Ollama library tags only; output treated as untrusted
Deployment checker (A12)

Validate current Ollama on the Halo with its supported AMD backend; record whether ROCm or Vulkan is used. Confirm accelerated placement after a short chat before selecting larger models.
Pull the starter pair. Leave larger coding tags for a later benchmark.
Reach the API from the workstation. Prefer ssh -N -T -o ExitOnForwardFailure=yes -L 127.0.0.1:11436:127.0.0.1:11434 user@<halo-host> and keep Ollama on Halo localhost. Use any unused workstation port in place of 11436. A private-interface bind plus a workstation-only firewall is optional.
Point gitignored .env at http://127.0.0.1:11436. Reload desktop MCP. Re-run scripts/check_deployment_safety.py.
Repeat acceptance A1–A7 and A11–A12. Run A4 (the workstation succeeds through SSH; an unauthorized LAN client fails). A8/A9 only if those clients are in use.
After the starter pair feels usable, record a Halo benchmark (model + quant, effective context, tok/s, time to first token, peak unified memory, whether output is reviewable). Do not treat a large advertised context window as a reason to send the whole repo.

Do not rename tools to write_code / ollama_status. local_* is the contract already in Cursor, Copilot, and Claude configs.
Do not add SLM_* environment aliases unless a later consumer cannot use OLLAMA_*.
Do not expose Halo in Cursor's model picker.
Do not implement an automatic task classifier (still Phase 3).
Do not start Halo install or wrapper changes until this phase is claimed.

These are not required to start Phase 4. Schedule them if the Halo path needs them:

Wrapper preflight: reject a non-private OLLAMA_BASE_URL and fail clearly when /api/tags is down (no public fallback).
Reject oversized tool payloads (files + task over a configured character cap).
Keep dual fast/strong timeouts; a single SLM_TIMEOUT_SECONDS is unnecessary unless operators ask for one knob.

Automatic routing / classifiers (only after Phase 3 numbers exist)
Larger-than-starter models on Halo unified memory
Application-level shared secret, only if Ollama can do it without breaking local IDE use