homepage: amber CRT theme, VT323, current-fleet docs + API access guide

- style.css: green phosphor -> amber CRT-AMBIOS palette; docs styles for
  screenshots, code blocks, key warning (full + bare mode)
- index/admin/docs: VT323 from the Google Fonts CDN
- docs.html: rewrite #chat/#models for the live fleet (flash-server v2,
  radiance native FP8, Qwen3.5-9B Q6_K); new #api-access with OpenWebUI
  key walkthrough + Opencode and Pi configs; three OpenWebUI screenshots
- services.json: AI card details match the current fleet
- deploy-remote.sh: ship shared/homepage/img/ to /srv/homepage/
- docs: Homepage.md theme wave + OpenWebUI.md picker access-control law

shared/homepage/services.json

@@ -269,8 +269,8 @@
     "section": "AI",
     "details": {
       "role": "Deep reasoning model",
-      "spec": "Qwen3.8-27B (UD-Q8_K_XL, 31.5 GiB) — 262k-token context, one conversation at a time, text only.",
-      "inputs": ["text"],
+      "spec": "Qwen3.8-Flash-Next v2 Swift1.5 abliterated (halogen flash-server, ~62 GiB) — 200k-token context, two conversations at a time; sees images. Speculative decoding always on.",
+      "inputs": ["text", "image"],
       "use": "Cybersecurity and debugging. Requires Frank's permission."
     },
     "url": "",
@@ -286,7 +286,7 @@
     "section": "AI",
     "details": {
       "role": "Primary model",
-      "spec": "Qwen3.8-Flash-Next (Q8_0, 175.3 GiB) — full 262k-token context, one conversation; sees images. Spec-drafted (MTP + n-gram) on both R9700s.",
+      "spec": "Qwen3.8-Flash-Next at native FP8 precision (radiance, 173 GiB) — 200k-token context, two conversations; sees images. Runs on both R9700s with tiered expert memory.",
       "inputs": ["text", "image"],
       "use": "Software engineering, system administration, and instruction tasks."
     },
@@ -303,7 +303,7 @@
     "section": "AI",
     "details": {
       "role": "Fast utility model",
-      "spec": "MiMo-V2.6-Distill-Qwen-9B (INT8 W8A16, 12 GiB) on SGLang — 606k-token pool across four 151k-token conversations; 84 tok/s decode; sees images.",
+      "spec": "Qwen3.5-9B-Uncensored (Q6_K, 6.9 GiB) on llama.cpp CUDA — two 200k-token conversations at a time; sees images; ~95 tok/s decode on the RTX 3090.",
       "inputs": ["text", "image"],
       "use": "Agentic search, RAG, research subagents, translation, roleplay, and summarization — any small task that doesn't need much intelligence."
     },