feat(llm): add nomic-embed-text-v1.5-Q4_K_M to astro-orbiter router
OpenViking Phase 1b (t_34b96e83) — Ryan-approved implementation.
Changes:
- roles/llm-inference-multimodel/templates/llama-server-router-preset.ini.j2:
Add [nomic-embed-text-v1.5] section with embedding=true, n-gpu-layers=99,
ctx-size=8192, load-on-startup=true, sleep-idle-seconds=-1. No flash-attn
or KV cache params (embedding models use bidirectional forward pass, not
autoregressive KV cache). Var: llm_router_nomic_ctx_size.
- roles/llm-inference-multimodel/defaults/main.yml:
Add llm_router_nomic_ctx_size: 8192.
- host_vars/astro-orbiter/vars.yml:
Add nomic-embed-text-v1.5-Q4_K_M.gguf to llm_staged_models list
(size_bytes: 84106624, source: nomic-ai/nomic-embed-text-v1.5-GGUF).
Update VRAM note to reflect 5 registered models (nomic adds ~84MB,
negligible given sleep-idle-seconds=-1 / load-on-startup=true pinning).
- playbooks/day2_add_nomic_embed.yml:
New day2 playbook following the coder-alias pattern:
Phase 1: idempotent GGUF download (exact size check)
Phase 2: redeploy preset INI
Phase 3: redeploy + restart systemd unit
Phase 4: /v1/models gate (all 5 models present)
Phase 5: /v1/embeddings smoke test (vector returned, not empty)
VRAM: ~84MB, always pinned. No impact on generative model LRU behavior.
peter-parker Helm values already point at :8002 for the embedding endpoint.
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