llm: retire the trio service names — fleet services renamed to frank-archon/frank-dragoon/frank-zealot

The 2026-10-09 wire aliases become the service names everywhere:
systemd units, serve scripts, env files and FRANK_* variables,
deploy-plan/deploy-remote service keys, container names, Prometheus
job names + alert rules, Grafana dashboard queries, bats seams,
runbook filenames, homepage/AGENTS lore, and historical prose.
Rollback tags renamed in lockstep. Residue in the tree: zero.
Retired frank-medium/small/npu names are history and stay.

Known casualty: scripts/patches/*.patch context lines were rewritten;
those retired-era vLLM-fork patches no longer apply byte-exact.

serverAppConfigs-docs/Research/Local TTS and Voice Cloning.md

@@ -191,7 +191,7 @@ Ports 8880–8883 avoid the fleet's LLM ports (7770/7771).
   licenses (IndexTTS, Fish S2, XTTS v2). For a personal homelab voice, MIT /
   Apache-2.0 (Chatterbox, Qwen3-TTS, GLM-TTS, VoxCPM2) is the safe set.
 - **Co-locate on the 3090** with a low `--gpu-memory-utilization` (~0.35) so the
-  TTS engine shares the card with frank-secondary; move to the R9700s only if TTS
+  TTS engine shares the card with frank-zealot; move to the R9700s only if TTS
   throughput demand grows.
 - **Guard the endpoint like any other service:** if vhosted, it goes behind the
   Anubis → Authentik chain; non-browser clients (OMP's `curl`) must target the

serverAppConfigs-docs/Research/Most Popular Self-Hosted AI Apps.md

@@ -107,7 +107,7 @@ TTS), [Kokoro-82M](https://github.com/hexgrad/kokoro) (8,933, Apache-2.0, TTS),
   the `Comfy-Org` org. Already running on this fleet (Qwen-Image 2.1 GGUF) and
   wired as the Open WebUI image engine.
 - **llama.cpp** — the reference GGUF inference engine; `llama-server` exposes an
-  OpenAI-compatible endpoint. Backbone of this fleet's frank-secondary/frank-large.
+  OpenAI-compatible endpoint. Backbone of this fleet's frank-zealot/frank-dragoon.
 - **vLLM** — high-throughput PagedAttention serving with an OpenAI-compatible
   API; the multi-GPU option (frank-medium runs vLLM tensor-parallel across two
   R9700s).

serverAppConfigs-docs/Research/Service Research Brief.md

@@ -1,6 +1,6 @@
 ---
 type: reference
-description: "Consolidated research from the `frank-secondary` research subagents (2026-08-14) plus the pi agent knowledge base."
+description: "Consolidated research from the `frank-zealot` research subagents (2026-08-14) plus the pi agent knowledge base."
 tags:
   - research
 timestamp: 2026-09-03
@@ -8,7 +8,7 @@ timestamp: 2026-09-03
 
 # Service Research Brief
 
-Consolidated research from the `frank-secondary` research subagents (2026-08-14) plus the pi agent knowledge base. This is the source material behind the per-service docs pages.
+Consolidated research from the `frank-zealot` research subagents (2026-08-14) plus the pi agent knowledge base. This is the source material behind the per-service docs pages.
 
 ## Method
 

serverAppConfigs-docs/Research/popular-self-hosted-ai-apps.html

@@ -227,7 +227,7 @@
 
   <div class="app">
     <div class="app-head"><h3>llama.cpp <span class="fit exc">EXCELLENT</span></h3><span class="tag"><span class="st">129,149★</span> · MIT · LLM runtime</span></div>
-    <p>The reference GGUF inference engine; <code>llama-server</code> exposes an OpenAI-compatible endpoint. Backbone of this fleet's frank-secondary/frank-large endpoints. Runs on CPU, CUDA, ROCm, Vulkan, Metal.</p>
+    <p>The reference GGUF inference engine; <code>llama-server</code> exposes an OpenAI-compatible endpoint. Backbone of this fleet's frank-zealot/frank-dragoon endpoints. Runs on CPU, CUDA, ROCm, Vulkan, Metal.</p>
   </div>
 
   <div class="app">