Phase 2 revised: consolidate astro-orbiter to single Qwen2.5-14B-1M model (port 8002)

- Retire llama-server-aux (Phi-4, 8000) and llama-server-toolcall (Mistral-Small-24B, 8001): stopped, disabled, unit files removed from host and Ansible role
- Promote llama-server-qwen (Qwen2.5-14B-Instruct-1M, port 8002) to sole production model, serving both friday and war-machine Hermes profiles
- Verified live: n_ctx=65536/n_ctx_train=1010000, and tool_calls response via /v1/chat/completions probe (no hallucination)
- Deleted superseded GGUF weights (phi-4, mistral-small, orphaned base-Qwen, gemma-2-27b) from astro-orbiter, ~45GB reclaimed
- Updated friday and war-machine Hermes profile configs (model + compression + skills_hub aux) to point at 10.1.71.130:8002
- Ryan explicitly accepted single-model tradeoffs for both profiles

ansible/roles/llm-inference-multimodel/templates/llama-server-aux.service.j2

@@ -1,33 +0,0 @@
-[Unit]
-Description=llama-server (aux/classification) — Phi-4-14B Q4_K_M (OpenAI-compatible inference)
-After=network.target nvidia-persistenced.service
-Wants=nvidia-persistenced.service
-
-[Service]
-Type=simple
-User={{ llm_service_user }}
-Group={{ llm_service_user }}
-Environment="HOME=/home/{{ llm_service_user }}"
-ExecStart={{ llm_binary_path }} \
-    --model {{ llm_aux_model_path }} \
-    --host {{ llm_bind_address }} \
-    --port {{ llm_aux_port }} \
-    --ctx-size {{ llm_aux_ctx_size }} \
-    --n-gpu-layers {{ llm_aux_gpu_layers }} \
-    --parallel {{ llm_aux_parallel }} \
-    --metrics
-# NOTE: no --chat-template flag — let llama-server auto-detect Phi-4's own
-# embedded chat template from GGUF metadata (same reasoning as the existing
-# llm-inference role's Gemma unit: explicit overrides risk mismatching the
-# model's actual expected format).
-# NOTE: --host is the private LAN IP (10.1.71.130 by default), NOT 0.0.0.0 —
-# deliberate change from the pre-existing Gemma pattern (plan §5).
-Restart=on-failure
-RestartSec=10
-TimeoutStartSec=600
-StandardOutput=journal
-StandardError=journal
-SyslogIdentifier=llama-server-aux
-
-[Install]
-WantedBy=multi-user.target

ansible/roles/llm-inference-multimodel/templates/llama-server-toolcall.service.j2

@@ -1,44 +0,0 @@
-[Unit]
-Description=llama-server (tool-calling) — Mistral-Small-24B-Instruct-2501 Q3_K_M (OpenAI-compatible inference)
-After=network.target nvidia-persistenced.service
-Wants=nvidia-persistenced.service
-
-[Service]
-Type=simple
-User={{ llm_service_user }}
-Group={{ llm_service_user }}
-Environment="HOME=/home/{{ llm_service_user }}"
-ExecStart={{ llm_binary_path }} \
-    --model {{ llm_toolcall_model_path }} \
-    --host {{ llm_bind_address }} \
-    --port {{ llm_toolcall_port }} \
-    --ctx-size {{ llm_toolcall_ctx_size }} \
-    --n-gpu-layers {{ llm_toolcall_gpu_layers }} \
-    --parallel {{ llm_toolcall_parallel }} \
-    --jinja \
-    --chat-template-file {{ llm_toolcall_chat_template_file }} \
-    --metrics
-# --jinja + --chat-template-file: Mistral-Small-24B-Instruct-2501's own
-# embedded chat template has NO tool-calling support (verified via /props ->
-# chat_template_caps.supports_tools=false). We serve Mistral-Nemo-Instruct-
-# 2407's tool-calling-capable Jinja template instead (same Mistral instruct
-# format family, adds [AVAILABLE_TOOLS]/[TOOL_CALLS] handling). See
-# docs/validation-log.md for the investigation and validation probe results.
-# NOTE: --host is the private LAN IP (10.1.71.130 by default), NOT 0.0.0.0.
-# NOTE: --parallel 1 is deliberate (plan §1/§2) — tool-calling profiles are
-# single-session-at-a-time per Claude Code profile; lower parallelism reduces
-# KV overhead and lowers hallucination surface from context bleed between
-# concurrent slots.
-# IMPORTANT: this endpoint MUST pass the plan §7 validation harness
-# (docs/validation-log.md in this role) before any Claude Code / tool-calling
-# Hermes profile is pointed at it. Mistral-Small shares lineage concerns
-# flagged for Qwen2.5/Qwen3 hallucinated tool_calls — do not assume safety.
-Restart=on-failure
-RestartSec=10
-TimeoutStartSec=600
-StandardOutput=journal
-StandardError=journal
-SyslogIdentifier=llama-server-toolcall
-
-[Install]
-WantedBy=multi-user.target