081156ecab
Adds idempotent, data-driven GGUF staging for the two new router models on
astro-orbiter alongside the production Qwen3.6-35B-A3B-UD-Q4_K_S. Both files
were already staged live (byte-exact); this commit codifies them in Ansible so
future re-runs and any new model adds are version-controlled and audit-friendly.
Changes:
- roles/llm-inference-multimodel/tasks/stage_model.yml (NEW)
Idempotent per-model task: stat -> exact byte-size guard -> conditional
get_url -> ownership/mode ensure -> notify router restart handler only on
actual download. Loops from models.yml; nothing hardcoded.
- roles/llm-inference-multimodel/tasks/models.yml
Appends the stage_model.yml loop (tagged: models) after the existing Qwen3.6
download tasks. Data driven from host_vars/astro-orbiter/vars.yml.
- roles/llm-inference-multimodel/defaults/main.yml
Adds llm_staged_models: [] default (empty = safe no-op for hosts with no
staged model list defined).
- roles/llm-inference-multimodel/handlers/main.yml
Adds 'restart llama-server-router on new GGUF' handler. Only fires when
stage_model.yml performs an actual download or corrects ownership/mode.
Normal idempotent re-runs (files already correct) do NOT fire this handler.
- host_vars/astro-orbiter/vars.yml
Adds llm_staged_models list with the two new models:
* Phi-3.5-mini-instruct-Q8_0.gguf (4,061,222,688 bytes,
bartowski/Phi-3.5-mini-instruct-GGUF)
* Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf (4,920,739,232 bytes,
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF)
- playbooks/day1_deploy_llm_inference_multimodel.yml
Updates header comment: removes stale 'Semaphore broken' note, documents
the correct execution channel (Semaphore template
llm_inference_multimodel_stage_models, --tags models).
- group_vars/all/semaphore.yml
Adds llm_inference_multimodel_stage_models template entry (config-as-code).
Template is scoped to --tags models explicitly. Phase 4 (verify) is
EXCLUDED: verify.yml starts llama-server-qwen on :8002, which would collide
with the production llama-server-router.service already running on :8002.
Semaphore template created via API: project 1 / template id 19.
Execution: triggered immediately after this commit via Semaphore REST API.
38 lines
1.9 KiB
YAML
38 lines
1.9 KiB
YAML
---
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# ------------------------------------------------------------------------------
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# FILE: roles/llm-inference-multimodel/handlers/main.yml
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# DESCRIPTION: Only a daemon-reload handler lives here now (harmless, no
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# process impact). Per-service restart/start decisions are made
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# explicitly in tasks/verify.yml (Phase 4), keyed off the
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# per-unit `changed` result registered in tasks/systemd.yml
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# (Phase 2) — NEVER combined, so a content change to one unit
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# template still never restarts the other (plan §2/§6
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# requirement: independent restart/rollback).
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#
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# BUGFIX: this file used to also define "restart
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# llama-server-aux" / "restart llama-server-toolcall" handlers,
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# notified from Phase 2's template tasks and fired there via
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# `meta: flush_handlers` — causing both live services to
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# restart during Phase 2, before Phase 3/4 had run. See
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# tasks/systemd.yml for the full writeup. Restart logic moved
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# to tasks/verify.yml so it only ever fires in Phase 4.
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# ------------------------------------------------------------------------------
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- name: Reload systemd
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ansible.builtin.systemd:
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daemon_reload: true
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become: true
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listen: "reload systemd"
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# Restart the llama.cpp router so it re-discovers /opt/models after a NEW GGUF
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# is staged. NOTIFIED ONLY from tasks/stage_model.yml when an actual download
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# (or permission correction) occurs — a normal idempotent re-run that finds the
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# files already correct will NOT fire this, so the live router is left
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# untouched. Safe on the idle GPU (router holds no resident model when all
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# entries are "unloaded"; restart is sub-second).
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- name: restart llama-server-router on new GGUF
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ansible.builtin.systemd:
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name: "{{ llm_router_service_name | default('llama-server-router') }}"
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state: restarted
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become: true
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