Initial public push: docs cosmos v4 + AI module + framework groundwork

This is the snapshot the production landing site (nibiru-framework.com) is
deployed from. Brings together the recent splash + docs migration to the v4
"Cosmos" design system, the new in-framework AI module, and the framework
groundwork that backs the framework-reference extraction.

What lands:
- docs/: Astro + Starlight site with the v4 dark cosmic palette, GalaxyHero
  canvas constellation, Mission Control chat (wired to /api/oracle →
  api.neuronetz.ai via providers.mjs Ollama), 5-panel MMVC stage
  (Model · AI · Module · Controller · View), translated EN/DE/JA/ES/FR
  content, PWA + sitemap + llms.txt + Umami analytics.
- docs/design-system/: canonical mockup bundle (source/index-v2.html for
  splash, source/docs-system.html + preview/ for docs, SPEC.md, tokens).
- docs/scripts/extraction/framework-reference-v2.md: deep framework
  reference (~1.6k lines, file:line citations, every public factory and
  idiom — basis for the LoRA training corpus.
- application/module/ai/: AI module with chat / embed / RAG / agent
  plugins, plus pdoQuery / httpGet / fileRead tools and Modelfile +
  smoke-test in training/.
- application/module/users/: user / ACL / form-factory traits used as the
  reference plugin pattern for the framework docs.
- application/settings/config/database/: schema + seed migrations
  including the AI module tables (200–203).
- Form factory + autogenerator changes the framework-reference-v2 covers.

Production secrets stay out: docs/.env, settings.production.ini and
ai.production.ini are all gitignored (.example files are in tree).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

application/module/ai/training/build.sh

@@ -0,0 +1,60 @@
+#!/usr/bin/env bash
+# =============================================================================
+#  Build nibiru-coder on the configured Ollama server.
+#
+#  Usage:
+#    ./application/module/ai/training/build.sh                  # default tag :1.0
+#    ./application/module/ai/training/build.sh 1.1              # custom tag
+#    OLLAMA_BASE_URL=https://your.ollama.example ./.../build.sh # remote Ollama
+#
+#  Prereqs:
+#    - The base model (qwen2.5-coder:14b) is already pulled on the server.
+#    - jq is installed locally.
+# =============================================================================
+set -euo pipefail
+
+OLLAMA_BASE_URL="${OLLAMA_BASE_URL:-http://localhost:11434}"
+TAG="${1:-1.0}"
+MODEL_NAME="nibiru-coder:${TAG}"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+MODELFILE_PATH="${SCRIPT_DIR}/Modelfile"
+
+if [ ! -f "$MODELFILE_PATH" ]; then
+  echo "Modelfile not found at $MODELFILE_PATH" >&2
+  exit 1
+fi
+
+if ! command -v jq >/dev/null 2>&1; then
+  echo "jq is required: https://stedolan.github.io/jq/" >&2
+  exit 1
+fi
+
+echo "Building $MODEL_NAME on $OLLAMA_BASE_URL …"
+RESP=$(jq -n \
+  --arg name "$MODEL_NAME" \
+  --rawfile mf "$MODELFILE_PATH" \
+  '{name: $name, modelfile: $mf, stream: false}' \
+  | curl -sS -X POST "${OLLAMA_BASE_URL}/api/create" \
+      -H 'Content-Type: application/json' \
+      --data-binary @-)
+
+echo "$RESP" | jq -r '.status // .error // "ok"'
+
+# Smoke test — make sure it answers.
+echo
+echo "Smoke test: 'What does Form::create() do?'"
+curl -sS "${OLLAMA_BASE_URL}/api/chat" \
+  -H 'Content-Type: application/json' \
+  -d "$(jq -n --arg m "$MODEL_NAME" '{
+    model: $m,
+    messages: [{role:"user", content:"In one sentence, what does Form::create() do in Nibiru?"}],
+    stream: false,
+    options: {num_predict: 60}
+  }')" | jq -r '.message.content'
+
+echo
+echo "Done. Use the model:"
+echo "  curl ${OLLAMA_BASE_URL}/api/chat -d '{\"model\":\"$MODEL_NAME\",\"messages\":[…]}'"
+echo "or set in your app:"
+echo "  [AI]"
+echo "  chat.model = \"$MODEL_NAME\""