ship: v0.5.0 code changes — compare UI + cleanup pass

Applies the v0.5.0 ship to the HF Space branch. Binary assets
(screenshots, deck.pptx) unchanged from XET-backed store.

Changes:
- Compare intent: two stacked RipMap instances per place, semantic
diff strip from parsed briefing sections (not prose-regex)
- Docker: Dockerfile.app, docker-compose.yml, .env.example
- Docs: README rewrite, DOCKER-PUBLISH.md runbook
- Svelte build: updated immutable hashes for compare-UI rebuild
- Tests: probe_50, test_integration updates
- scripts/probe_50.py: ruff auto-fixes
- web/main.py: import order normalisation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.env.example

@@ -0,0 +1,34 @@
+# Riprap environment configuration.
+#
+# Copy this file to `.env` and fill in the values that match the
+# inference backend you want to talk to. The default profile runs
+# only the app container, so both the LLM (vLLM serving Granite 4.1)
+# and the ML specialist service must be reachable at HTTP endpoints.
+#
+# Three common configurations:
+#
+#   1. Easiest — talk to the live demo's backends. Adam runs a public
+#      MI300X droplet for the hackathon; if it's still up at demo time,
+#      both endpoints are reachable from anywhere.
+#
+#   2. Self-hosted — bring up your own MI300X droplet via
+#      docs/DROPLET-RUNBOOK.md, then point both URLs at it.
+#
+#   3. Full local — use `docker compose --profile with-models up` to
+#      run the riprap-models service yourself (requires a GPU on your
+#      box) and point a separate vLLM container at Granite 4.1.
+
+# ---- Granite 4.1 reconciler (vLLM, OpenAI-compatible) -----------------
+# Set to "ollama" instead of "vllm" if you have a local Ollama with
+# granite4.1:8b pulled and want to use that.
+RIPRAP_LLM_PRIMARY=vllm
+RIPRAP_LLM_BASE_URL=http://your-vllm-host:8000/v1
+RIPRAP_LLM_API_KEY=your-token-here
+
+# ---- ML specialist service (Prithvi, TerraMind, GLiNER, etc.) ---------
+RIPRAP_ML_BASE_URL=http://your-ml-host:7860
+RIPRAP_ML_API_KEY=your-token-here
+
+# ---- Backend pill labels (cosmetic, shown top-right of the UI) --------
+RIPRAP_HARDWARE_LABEL=AMD MI300X
+RIPRAP_ENGINE_LABEL=Granite 4.1 / vLLM

.gitignore

@@ -1,14 +1,26 @@
+# Session artifacts
+*MORNING-BRIEF*.md
+*OVERNIGHT*.md
+*COMMS-OVERNIGHT*.md
+CODE-MORNING-BRIEF*.md
+MONDAY.md
+docs/sessions/
+
 __pycache__/
 *.py[cod]
 *.egg-info/
+dist/
+build/
 .venv/
 .env
 .DS_Store
 outputs/
 node_modules/
 *.tmp
+*.log
 .ruff_cache/
 .pytest_cache/
+.ipynb_checkpoints/
 
 # Claude Code context (per-machine, not for the public repo)
 CLAUDE.md
@@ -22,6 +34,7 @@ data/*.legacy_*
 web/svelte/node_modules/
 web/sveltekit/node_modules/
 web/sveltekit/.svelte-kit/
+web/sveltekit/build/
 
 # Experiments — cached HF model downloads, training artifacts, intermediate
 # fixtures. RESULTS.md, NOTES.md, and source code stay tracked.
@@ -46,6 +59,14 @@ slides/deck.pptx
 *.bak
 *.swp
 *.swo
+.playwright-mcp/
+
+# Demo recordings (large; not committed)
+assets/video/
+
+# Local env overlays
+.env.local
+*.local.env
 
 # Sensitive
 AMD_TOKEN

ARCHITECTURE.md

@@ -173,24 +173,39 @@ The full chain, in execution order:
          └────────────┬────────────────────────────────┘
                       ▼
          ┌─────────────────────────────────────────────┐
-         │ 13. rag (Granite Embedding 278M)            │  retrieves policy paragraphs
+         │ 10. microtopo    DEM + TWI + HAND at point  │  proxy
+         │ 11. ida_hwm      USGS Ida 2021 HWM proximity│  empirical
+         │ 12. mta_entrance MTA subway entrance exposure│  empirical
+         │ 13. prithvi_v2   Prithvi Ida flood polys     │  empirical (model-derived)
+         │ 14. prithvi_live live Prithvi inference      │  (gpu-only; skipped cpu-basic)
+         │ 15. terramind    TerraMind LULC synthesis    │  (gpu-only; skipped cpu-basic)
+         └────────────┬────────────────────────────────┘
+                      ▼
+         ┌─────────────────────────────────────────────┐
+         │ 16. rag (Granite Embedding 278M)            │  retrieves policy paragraphs
          │     query corpus of 5 NYC agency PDFs        │  relevant to this address
+         │ 17. gliner_extract (GLiNER medium-v2.1)     │  entity extraction over RAG hits
          └────────────┬────────────────────────────────┘
                       ▼
          ┌─────────────────────────────────────────────┐
-         │ 14. reconcile (Granite 4.1 :3b on Ollama)   │  document-grounded synthesis
-         │     reads all "documents" produced by 1-13  │  → 4-section cited paragraph
-         │     drops sentences with ungrounded numbers  │  → audit trail
+         │ 18. reconcile (Granite 4.1 :8b)             │  document-grounded synthesis
+         │     reads all "documents" produced by 1-17  │  → 4-section cited paragraph
+         │     Mellea rejects ungrounded outputs        │  → audit trail
          └────────────┬────────────────────────────────┘
                       ▼
                  cited briefing
                  + tier badge + evidence cards + map
 ```
 
+The `single_address` path emits **24 step events** (including the live
+sub-specialists ttm_311_forecast, ttm_battery_surge, floodnet_forecast,
+and the eo_chip_fetch / terramind_lulc / terramind_buildings gates).
+`neighborhood` emits 8–10 steps (NTA-level specialists only; per-address
+registers don't run).
+
 Each step is implemented as a `@action` in `app/fsm.py`. The Burr
-runtime handles the state-passing between actions and emits a trace
-record per step (timing, ok/err, summary fields) which the front-end
-shows live as the FSM runs.
+runtime handles state-passing between actions and emits a trace record
+per step (timing, ok/err, summary fields) which the front-end shows live.
 
 ### 3.1 What every specialist does, plain language
 
@@ -207,9 +222,12 @@ shows live as the FSM runs.
 | 9 | **ttm_forecast** *(live)* | Granite TTM r2 zero-shot forecast of the surge **residual** at the Battery for the next ~9.6 h. NOAA already publishes the astronomical tide; TTM forecasts the part NOAA doesn't. | live (model-derived) |
 | 10 | **microtopo**            | LiDAR-derived terrain features at the point: elevation, HAND, TWI, local relief percentile.                                                                                      | proxy              |
 | 11 | **ida_hwm**              | USGS Hurricane Ida 2021 high-water marks. Actual measured water heights surveyed in the days after the storm.                                                                   | empirical          |
-| 12 | **prithvi**              | NASA/IBM Prithvi-EO 2.0 segmentation of Sentinel-2 imagery for the Ida pre/post pair. Pre-computed offline; serves point-in-polygon queries against the resulting 166 polygons.   | empirical (model-derived) |
-| 13 | **rag**                  | Granite Embedding 278M retrieves the most-relevant paragraphs from 5 NYC policy PDFs (Comptroller, NPCC4, MTA, NYCHA, ConEd) given the address's borough + which scenarios fired. | policy             |
-| 14 | **reconcile**            | Granite 4.1 :3b reads all the documents produced by steps 1–13 and writes the cited briefing paragraph. See [§6](#6-document-grounded-reconciliation).                            | LLM synthesis      |
+| 12 | **mta_entrance_exposure** | MTA subway entrances within radius: how many, how many are inside Sandy 2012 zone, how many are in DEP Extreme-2080. | empirical          |
+| 13 | **prithvi_eo_v2**        | Pre-computed point-in-polygon against 166 Prithvi-derived Ida 2021 flood polygons (offline-built; instant at request time).                                                      | empirical (model-derived) |
+| 14 | **prithvi_eo_live** / **terramind_synthesis** | Live Prithvi / TerraMind inference over fresh EO chips. GPU-only; silenced (deterministic skip) on cpu-basic HF Space. | empirical (model-derived) |
+| 15 | **rag**                  | Granite Embedding 278M retrieves the most-relevant paragraphs from 5 NYC policy PDFs (Comptroller, NPCC4, MTA, NYCHA, ConEd) given the address's borough + which scenarios fired. | policy             |
+| 16 | **gliner_extract**       | GLiNER medium-v2.1 runs named-entity extraction over the RAG-retrieved paragraphs: locations, agencies, dates, infrastructure-project names. Results ride into the reconciler as additional grounding context. | ancillary |
+| 17 | **reconcile**            | Granite 4.1 :8b reads all documents produced by steps 1–16 and writes the cited briefing paragraph. Mellea rejection-sampling validates 4 grounding requirements; up to 3 attempts. See [§6](#6-document-grounded-reconciliation). | LLM synthesis |
 
 ### 3.2 Worked example: 2940 Brighton 3rd St, Brooklyn
 
@@ -261,18 +279,44 @@ saw those headers and didn't invent them.
 
 ---
 
-## 4. Three user modes
-
-| Path                                  | Mode             | What it does |
-|---------------------------------------|------------------|---|
-| `/`                                   | **Single address** | Geocode → run the full FSM → cited paragraph + map. Live demo path. |
-| `/compare`                            | **Compare**      | Two addresses side by side; parallel FSM runs (`asyncio.to_thread`, `OLLAMA_NUM_PARALLEL=2`). Useful for "this site vs the alternative". |
-| `/register/{schools,nycha,mta_entrances}` | **Register** | Pre-computed bulk runs over NYC public-asset registries. 126 schools, 45 NYCHA developments, ~1,900 MTA subway entrances. Loaded from `data/registers/*.json` at boot. |
-
-Single-address is the live path. Registers are pre-computed because
-running 1,900 reconciler calls at request time is a non-starter; the
-registers job runs offline (see `scripts/build_*_register.py`) and
-the result is served from cache.
+## 4. Five planner intents
+
+The planner (`app/planner.py`) classifies every free-text query into one of
+five intents before the FSM runs. This happens in a single Granite 4.1 call
+that streams its JSON output to the client as `plan_token` events.
+
+| Intent                | Triggered by                                  | FSM path                         | Steps |
+|-----------------------|-----------------------------------------------|----------------------------------|-------|
+| `single_address`      | Fully-qualified street address                | Full linear FSM (geocode → 19 specialists → reconcile) | 24 |
+| `neighborhood`        | NTA name, borough name, bare zip              | NTA-level specialists only (no per-address registers)   | 8–10 |
+| `compare`             | "A vs B", "compare X to Y"                   | Two sequential single_address runs; merged two-column paragraph | 2 × 24 |
+| `development_check`   | "what's being built at X", "is Y risky"       | DOB filings + flood layers                              | 3–5 |
+| `live_now`            | "is it flooding now", "current alerts"        | Live-only specialists (tides, alerts, obs) — no Mellea  | 4 |
+| `not_implemented`     | Retrospective, ranking, cross-city queries    | Returns rationale immediately                           | 0 |
+
+### Compare intent detail
+
+`_run_compare()` in `web/main.py` executes the full `single_address` FSM
+sequentially for each target, then merges the two paragraphs under
+`## PLACE A: …` / `## PLACE B: …` headers separated by `---`. The
+`CompareBriefing.svelte` component renders this as a two-column layout with
+a "Key differences" delta bar above. During streaming the tokens are rendered
+in a single column (sequential); the two-column layout appears when the
+`final` event lands.
+
+**Registered routes**
+
+| Path                                      | Serves |
+|-------------------------------------------|--------|
+| `/`                                       | SvelteKit landing + live query UI |
+| `/api/agent/stream?q=…`                   | SSE stream — planner + all intent paths |
+| `/register/{schools,nycha,mta_entrances}` | Pre-computed bulk register browser |
+| `/legacy`, `/single`, `/compare`, `/register/*` | Legacy custom-element bundle (compatibility) |
+
+Registers are pre-computed because running 1,900 reconciler calls at request
+time is a non-starter; the register build runs offline
+(`scripts/build_*_register.py`) and results are loaded from
+`data/registers/*.json` at boot.
 
 ---
 
@@ -431,11 +475,12 @@ loading. Mellea's `OllamaBackend` explicitly raises
 
 | Model | Params | Runtime | Role |
 |-------|--------|---------|------|
-| **Granite 4.1 :3b**         | 3 B    | Ollama (GPU on T4)                   | Planner (intent + specialist routing) + `live_now` reconciler. |
-| **Granite 4.1 :8b**         | 8 B    | Ollama (GPU on T4)                   | Synthesis reconciler for `single_address`, `neighborhood`, `development_check`. Validated by Mellea (4 grounding requirements + reroll). |
+| **Granite 4.1 :3b alias**   | 8 B†   | Ollama or vLLM (AMD MI300X)          | Planner (intent + specialist routing) + `live_now` reconciler. †Production alias `RIPRAP_OLLAMA_3B_TAG=granite4.1:8b` — planner runs 8b in production. |
+| **Granite 4.1 :8b**         | 8 B    | Ollama or vLLM (AMD MI300X)          | Synthesis reconciler for `single_address`, `neighborhood`, `development_check`, `compare`. Validated by Mellea (4 grounding requirements + reroll). |
 | **Granite Embedding 278M**  | 278 M  | sentence-transformers (CPU)          | RAG retrieval over 5 policy PDFs at query time.    |
-| **Prithvi-EO 2.0**          | 300 M  | TerraTorch (offline pre-compute)     | Sen1Floods11 fine-tune; segmented Hurricane Ida 2021 pre/post Sentinel-2 polygons baked into `data/`. |
-| **Granite TimeSeries TTM r2** | 1.5 M | granite-tsfm (CPU)                  | Zero-shot forecast of the Battery surge residual, ~9.6 h horizon. |
+| **Prithvi-EO 2.0**          | 300 M  | TerraTorch (offline pre-compute)     | NYC-Pluvial fine-tune; segmented Hurricane Ida 2021 pre/post Sentinel-2 polygons baked into `data/`. Fine-tune: `msradam/Prithvi-EO-2.0-NYC-Pluvial`. |
+| **Granite TimeSeries TTM r2** | 1.5 M | granite-tsfm (CPU)                  | Zero-shot forecast of the Battery surge residual, ~9.6 h horizon. Fine-tune: `msradam/Granite-TTM-r2-Battery-Surge`. |
+| **GLiNER medium-v2.1**      | ~200 M | gliner (CPU)                         | Named-entity extraction over RAG hits (locations, agencies, dates, infrastructure). `urchade/gliner_medium-v2.1`. |
 
 **Granite 4.1 ≠ Granite Time Series.** Granite 4.1 is IBM's chat-LLM
 family. Granite TimeSeries TTM is a separate IBM Research product
@@ -443,6 +488,12 @@ line (Ekambaram et al. 2024, NeurIPS). Both happen to share the
 "Granite" brand but have different architectures, training data, and
 authors.
 
+**LiteLLM Router.** All LLM calls go through `app/llm.py`, a ~250-line
+shim over a LiteLLM Router. Two backends are wired: `RIPRAP_LLM_PRIMARY=ollama`
+(local + HF Space default) and `RIPRAP_LLM_PRIMARY=vllm` (AMD MI300X demo
+path, auto-fails over to Ollama). The shim normalizes role names and
+citation-token format so the rest of the codebase is backend-agnostic.
+
 ### 7.1 Why Prithvi runs offline
 
 Prithvi-EO 2.0 with TerraTorch needs a GPU and minutes per HLS tile.
@@ -514,7 +565,9 @@ riprap-nyc/
       single_address.py      drives the linear FSM with strict reconcile
       neighborhood.py        polygon-aggregated specialists
       development_check.py   DOB permit overlap with flood polygons
-      compare.py             two-address side-by-side
+    llm.py                   LiteLLM Router shim — all LLM calls go here.
+                             Routes to vLLM (AMD) or Ollama; normalizes
+                             role names and citation token format.
     areas/
       nta.py                 NYC NTA 2020 polygon resolver
 
@@ -541,29 +594,30 @@ riprap-nyc/
       mta_entrances.py       i9wp-a4ja
 
   web/
-    main.py                  FastAPI (5 pages, JSON endpoints, 2 SSE streams)
+    main.py                  FastAPI. Primary SSE at /api/agent/stream.
+                             _run_compare() handles the compare intent
+                             (sequential single_address × 2; no separate
+                             intent module). /api/backend returns live
+                             backend descriptor for the UI pill.
     static/
-      index.html             classic single-address report (compatibility)
-      agent.html             primary UI: planner + live trace + briefing
-      agent.js               EventSource client; sets properties on
-                              <r-briefing> / <r-trace> / <r-sources-footer>
-      report.html / .js      auditable PDF-formatted export view
-      compare.html / .js     two-address side-by-side
-      register.html / .js    bulk register browser
-      style.css              IBM Plex Sans, Planning Labs idiom
-      dist/                  Svelte 5 custom-element bundle (committed.
-                              HF Spaces doesn't run a Node build).
+      agent.html             legacy primary UI (Svelte custom elements)
+      dist/                  Svelte 5 custom-element bundle (committed).
                               Built from web/svelte/ via `npm run build`.
 
-  web/svelte/                Svelte 5 source. Build → web/static/dist/.
-    package.json             vite + @sveltejs/vite-plugin-svelte
-    vite.config.js           lib mode; customElement: true globally
-    src/main.js              registers <r-briefing>, <r-trace>,
-                              <r-sources-footer>; re-exports stores
-    src/lib/stores.js        highlightedDocId, citeIndex (writable)
-    src/lib/Briefing.svelte
-    src/lib/Trace.svelte
-    src/lib/SourcesFooter.svelte
+  web/sveltekit/             SvelteKit app (primary UI). Build →
+                             web/sveltekit/build/. Served at / by FastAPI.
+    src/routes/
+      +page.svelte           landing + query form
+      q/[queryId]/+page.svelte  live query page (SSE stream consumer)
+    src/lib/components/
+      briefing/
+        Briefing.svelte      4-section cited paragraph renderer
+        CompareBriefing.svelte  two-column compare layout + delta bar
+      shell/StatusPill.svelte   AMD / Ollama / Local backend indicator
+
+  web/svelte/                Legacy Svelte 5 custom-element source.
+                             Builds <r-briefing>, <r-trace>, <r-sources-footer>.
+                             Still loaded by agent.html / register/*.html.
 
   scripts/                   offline pre-compute + diagnostic probes
     run_prithvi_ida.py
@@ -636,28 +690,28 @@ riprap-nyc/
 
 ### 12.1 Hugging Face Spaces (production)
 
-Docker SDK, base `nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04`
-(Python 3.10), hardware `nvidia-t4-small` (1× T4, 16 GB VRAM,
-4 vCPU, 15 GB RAM). Ollama + **both** Granite 4.1 variants
-(`:3b` for routing, `:8b` for synthesis) baked into the image at
-build time (~10 GB total). Granite Embedding 278M and Granite TTM r2
-download to `$HF_HOME` on first request (~280 MB and ~30 MB).
-
-`entrypoint.sh` starts Ollama, then **pre-warms `granite4.1:8b`** with
-a one-token generation so the first user reconcile doesn't pay the
-~30s VRAM-load tax. `OLLAMA_KEEP_ALIVE=24h` holds both models resident
-through the demo. `OLLAMA_FLASH_ATTENTION=1` and
-`OLLAMA_KV_CACHE_TYPE=q8_0` cut KV memory on the 8b path.
-
-Cold-start (first query after container restart) takes ~60–90 s while
-weights load and TTM downloads. Warm queries:
-- `live_now` ~3–6 s
-- `single_address` / `neighborhood` / `development_check` ~30–60 s
-  with Mellea (one streamed attempt + post-validation; one reroll
-  adds ~25 s)
-
-The Svelte bundle in `web/static/dist/` is committed, so HF Spaces
-runs no Node build step. Only the Python deps + Ollama install.
+**HF Space**: `lablab-ai-amd-developer-hackathon/riprap-nyc` (cpu-basic).
+Serves the FastAPI + SvelteKit UI. Hardware: cpu-basic (no GPU).
+
+**AMD MI300X droplet** (separate): vLLM + riprap-models containers
+(`services/riprap-models/`). The Space talks to the droplet over HTTP;
+env vars `RIPRAP_LLM_BASE_URL` / `RIPRAP_ML_BASE_URL` point at it.
+The bootstrap droplet was destroyed 2026-05-06; redeploy via
+`scripts/deploy_droplet.sh <ip> <token>`.
+
+LLM routing: `RIPRAP_LLM_PRIMARY=vllm` → AMD MI300X (30–50× faster than
+T4 Ollama). Falls over to local Ollama on connection failure. Backend
+status visible in the UI pill (top-right corner; backed by `GET /api/backend`).
+
+Verified warm query times on AMD MI300X + vLLM (2026-05-06 probe):
+- `single_address`: 5–12 s (4/4 Mellea, 0–2 rerolls)
+- `neighborhood`: 3–5 s
+- `compare` (two sequential legs): ~15 s
+
+Cold-start after container restart: ~30 s for vLLM kernel JIT compile + prefix cache warmup. Run one warm-up query before a demo.
+
+The SvelteKit build in `web/sveltekit/build/` and the Svelte bundle in
+`web/static/dist/` are both committed, so HF Spaces runs no Node build step.
 
 ### 12.2 Local development
 

Dockerfile.app

@@ -0,0 +1,71 @@
+# Riprap — lightweight self-host image (FastAPI + SvelteKit).
+#
+# This is the "I want to run Riprap on my own machine, pointed at the
+# live or my own MI300X" image. It does NOT ship Ollama, CUDA, or
+# Granite weights — LLM inference is dispatched over HTTP via
+# RIPRAP_LLM_BASE_URL (vLLM / OpenAI-compatible) and RIPRAP_ML_BASE_URL
+# (the riprap-models GPU specialist service). See .env.example.
+#
+# For the heavy HF Space deployment (CUDA + bundled Ollama + Granite
+# weights baked in), use the root-level Dockerfile instead.
+#
+# Build:    docker build -t msradam/riprap-nyc:v0.5.0 -f Dockerfile.app .
+# Run:      docker run --rm -p 7860:7860 --env-file .env msradam/riprap-nyc:v0.5.0
+
+# -----------------------------------------------------------------------
+# Stage 1 — build the SvelteKit static bundle
+# -----------------------------------------------------------------------
+FROM node:20-slim AS frontend-build
+
+WORKDIR /build
+COPY web/sveltekit/package.json web/sveltekit/package-lock.json ./
+RUN npm ci --no-audit --no-fund
+
+COPY web/sveltekit/ ./
+RUN npm run build
+
+# -----------------------------------------------------------------------
+# Stage 2 — Python runtime
+# -----------------------------------------------------------------------
+FROM python:3.10-slim AS runtime
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1 \
+    PIP_NO_CACHE_DIR=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1
+
+# Geo libs: geopandas / rasterio / fiona / pyproj need GDAL + GEOS +
+# PROJ at runtime. curl for healthchecks.
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        curl ca-certificates \
+        gdal-bin libgdal-dev libgeos-dev libproj-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Python deps first so a code-only edit doesn't bust the wheel cache.
+COPY requirements.txt ./
+RUN pip install --upgrade pip && pip install -r requirements.txt
+
+# App code + fixtures + corpus.
+COPY app/ ./app/
+COPY web/main.py ./web/main.py
+COPY web/static/ ./web/static/
+COPY scripts/ ./scripts/
+COPY data/ ./data/
+COPY corpus/ ./corpus/
+
+# Pre-built SvelteKit bundle from stage 1.
+COPY --from=frontend-build /build/build ./web/sveltekit/build
+
+EXPOSE 7860
+
+# Default talks to remote LLM + ML backends via the env vars in
+# .env.example. RIPRAP_LLM_PRIMARY=vllm makes the LiteLLM Router
+# expect an OpenAI-compatible endpoint at RIPRAP_LLM_BASE_URL.
+ENV RIPRAP_LLM_PRIMARY=vllm \
+    PYTHONPATH=/app
+
+CMD ["uvicorn", "web.main:app", "--host", "0.0.0.0", "--port", "7860", \
+     "--log-level", "info", "--proxy-headers"]

OPEN-ISSUES.md

@@ -50,3 +50,62 @@ a human eye on what the closure does.
 in the file. May be a bug (intended to call `api.upload_file(...)`) or
 a leftover from an edit. Needs a human eye.
 **Fix:** Either use `api` in the upload calls, or remove the assignment.
+
+---
+
+## 5. `_merge_mellea` puts requirements in both `passed` and `failed`
+
+**File:** `web/main.py:563`
+**Issue:** Uses `set(a_passed + b_passed)` (union) for `requirements_passed`. If
+leg A fails `citations_resolve` but leg B passes it, `citations_resolve`
+ends up in both `requirements_passed` and `requirements_failed` in the
+merged Mellea dict. The UI then shows "4/4 passed" with a contradictory
+"failed: citations_resolve" entry.
+**Fix:** Use intersection for `requirements_passed`:
+```python
+"requirements_passed": list(set(_lst(a, "requirements_passed")) & set(_lst(b, "requirements_passed"))),
+```
+
+---
+
+## 6. `mellea.attempts` wrong field name in `persistSnapshot`
+
+**File:** `web/sveltekit/src/routes/q/[queryId]/+page.svelte:598`
+**Issue:** `finalResult?.mellea?.attempts` is always `undefined` — the Mellea
+field is `n_attempts`. Falls back silently to the streaming `attempt` counter.
+The PDF/print snapshot always has wrong attempt metadata.
+**Fix:**
+```js
+attempts: finalResult?.mellea?.n_attempts ?? attempt
+```
+
+---
+
+## 7. NTA-typed compare targets fall through to single_address
+
+**File:** `web/main.py:514`
+**Issue:** `addr_targets = [t for t in p.targets if t.get("type") == "address"]`
+filters out NTA targets. When the planner returns `type: "nta"` for both sides
+of a compare query (e.g. "Compare Two Bridges to Battery Park City"), `addr_targets`
+is empty, the fallback runs the full raw query text through `single_address`, the
+geocoder finds no valid address, and the response is "No grounded data available."
+**Fix:** Accept `"nta"` targets and route each through the `neighborhood` intent
+instead of `single_address`, or accept both type values and pick the right intent
+per target.
+
+---
+
+## 8. `iter_steps` returns without `final` when FSM fails pre-iteration
+
+**File:** `app/fsm.py:1292–1294`
+**Issue:** If `app.iterate()` raises before any action completes (so
+`final_state_holder["state"]` is never set), `iter_steps` does a bare `return`
+after the error event. No `final` event is yielded. The SSE stream closes with
+an open Stone in the trace UI (the `stone_done` for the active Stone never fires),
+leaving the frontend in a non-terminal render state.
+**Fix:** Yield a synthetic `final` with an error flag when `state is None`:
+```python
+if state is None:
+    yield {"kind": "final", "paragraph": "", "error": "FSM failed before any action completed"}
+    return
+```

README.md

@@ -11,15 +11,17 @@ pinned: false
   <img src="assets/logo@2x.png" width="72" height="72" alt="Riprap dam mark" />
 </p>
 
-# Riprap: citation-grounded NYC flood-exposure briefings
+# Riprap — citation-grounded NYC flood-exposure briefings
 
 Riprap takes any NYC address (or neighborhood, or development-permit
-query) and produces a four-section briefing (Status, Empirical evidence,
-Modeled scenarios, Policy context). Every numeric claim is anchored to
-a `[doc_id]` citation pointing back into the source document.
-
-The Capstone reconciler is **Granite 4.1** (8B, served via Ollama on T4
-or vLLM on AMD MI300X), wrapped in **Mellea**-validated rejection
+query) and produces a four-section briefing — Status, Empirical
+evidence, Modeled scenarios, Policy context. Every numeric claim is
+anchored to a `[doc_id]` citation that resolves to a named primary
+public-record source. If the model cannot cite a number, the model
+does not publish that number.
+
+The Capstone reconciler is **IBM Granite 4.1 8B**, served via Ollama
+on T4 or vLLM on AMD MI300X, wrapped in **Mellea**-validated rejection
 sampling. Sentences that fail one of four grounding checks
 (`numerics_grounded`, `no_placeholder_tokens`, `citations_dense`,
 `citations_resolve`) are rerolled with surgical feedback until the
@@ -33,7 +35,67 @@ Live demo: <https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space>
 
 ![Riprap flood-exposure briefing for 80 Pioneer Street, Brooklyn](assets/screenshots/hero.png)
 
-*A citation-grounded flood-exposure briefing for 80 Pioneer Street in Red Hook. Generated in ~7 seconds against AMD MI300X. Every numeric claim cites a primary public-record source.*
+*A citation-grounded flood-exposure briefing for 80 Pioneer Street in
+Red Hook. Generated in roughly 7 seconds against AMD MI300X. Every
+numeric claim cites a primary public-record source.*
+
+---
+
+## Quickstart
+
+Three ways to use Riprap, in increasing order of self-host:
+
+### 1. Try the live demo
+
+The hosted Space runs the full pipeline against a live AMD MI300X
+inference backend. Type any NYC address.
+
+<https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space>
+
+### 2. Run locally with Docker
+
+```bash
+git clone https://github.com/msradam/riprap-nyc
+cd riprap-nyc
+cp .env.example .env
+# edit .env to point RIPRAP_LLM_BASE_URL / RIPRAP_ML_BASE_URL at
+# either the live demo's backends or your own self-hosted instance
+docker compose up
+```
+
+Visit `http://localhost:7860`.
+
+To self-host the GPU inference half (vLLM + the ML specialist
+service) on an AMD ROCm or NVIDIA CUDA box, run:
+
+```bash
+docker compose --profile with-models up
+```
+
+Full single-command MI300X bring-up via DigitalOcean: see
+[`docs/DROPLET-RUNBOOK.md`](docs/DROPLET-RUNBOOK.md).
+
+### 3. Develop
+
+```bash
+# Python 3.12 venv via uv
+uv venv && uv pip install -r requirements.txt
+
+# SvelteKit frontend (committed pre-built; only rebuild if sources change)
+cd web/sveltekit && npm ci && npm run build && cd ../..
+
+# Local server (Ollama primary)
+.venv/bin/uvicorn web.main:app --host 127.0.0.1 --port 7860
+
+# Local server pointed at AMD MI300X (vLLM primary, Ollama fallback)
+RIPRAP_LLM_PRIMARY=vllm \
+RIPRAP_LLM_BASE_URL=http://<droplet-ip>:8000/v1 \
+RIPRAP_LLM_API_KEY=<token> \
+.venv/bin/uvicorn web.main:app --host 127.0.0.1 --port 7860
+
+# End-to-end address suite (5 NYC addresses, intent-aware checks)
+.venv/bin/python scripts/probe_addresses.py
+```
 
 ---
 
@@ -55,8 +117,8 @@ group those probes into five legible roles:
 | **Lodestone** | The Projector. What's coming. | NWS public flood alerts, Granite TTM r2 surge nowcast (zero-shot, 6-min cadence, 9.6 h horizon), per-address 311 weekly forecast, FloodNet sensor recurrence forecast, **Granite-TTM-r2-Battery-Surge fine-tune** (96 h hourly horizon) |
 | **Capstone** | The Synthesiser. Citation-grounded briefing. | Granite 4.1 + Mellea rejection sampling |
 
-The four data-Stones run sequentially per query; the Capstone reconciles
-their documents into one cited paragraph.
+The four data-Stones run sequentially per query; the Capstone
+reconciles their documents into one cited paragraph.
 
 ---
 
@@ -80,11 +142,42 @@ NYC Battery storm-surge nowcast fine-tune of Granite TimeSeries TTM
 r2. Test MAE 0.1091 m, −41% vs persistence and −25% vs zero-shot.
 
 All three are loaded at runtime by their respective FSM probes in
-`app/context/` and `app/live/`.
+`app/context/` and `app/live/`. Reproduction recipes live under
+`experiments/18..21/`.
 
 ---
 
-## Architecture pointers
+## Architecture
+
+```
+NYC address ──► Granite 4.1 3B planner ──► Plan{intent, targets, specialists}
+                                                  │
+                                                  ▼
+                            Five-Stone Burr FSM (one @action per probe)
+                            ┌───────────┬───────────┬───────────┬──────────┐
+                            ▼           ▼           ▼           ▼          ▼
+                       Cornerstone  Keystone   Touchstone   Lodestone  (cont.)
+                       (hazard)    (assets)    (live)       (forecast)
+                            │           │           │           │
+                            └───────────┴─────┬─────┴───────────┘
+                                              ▼
+                         build_documents() — Granite-native
+                         role="document <doc_id>" messages
+                                              ▼
+                  Capstone: Granite 4.1 8B + Mellea rejection sampling
+                  ──► 4-check grounding loop, surgical feedback rerolls
+                                              ▼
+                       Four-section briefing with [doc_id] citations
+                                              ▼
+                       SSE stream → SvelteKit UI (briefing, trace, map)
+```
+
+LLM inference is dispatched through `app/llm.py`, a LiteLLM Router
+shim with two backends: **Ollama** (T4 / local) and **vLLM** (AMD
+MI300X). Same `chat()` signature in both directions; vLLM is primary
+for the demo, Ollama is the auto-failover.
+
+Source-of-truth pointers:
 
 - `app/stones/`: the Stones taxonomy (NAME / TAGLINE / SOURCES /
   collect()) over the FSM probes.
@@ -93,55 +186,111 @@ All three are loaded at runtime by their respective FSM probes in
   document-role messages in canonical Stone order.
 - `app/mellea_validator.py`: strict reconcile path (4-check rejection
   sampling).
-- `app/llm.py`: LiteLLM Router shim. Routes to Ollama (T4 / local) or
-  vLLM (AMD MI300X) without changing caller code.
+- `app/llm.py`: LiteLLM Router shim. Routes to Ollama or vLLM without
+  changing caller code.
 - `web/main.py`: FastAPI + SSE. The stream emits
   `plan / step / token / mellea_attempt / final` events plus the
   `stone_start / stone_done` envelope around each Stone group.
 - `web/sveltekit/`: primary UI (SvelteKit + adapter-static).
-- `experiments/18_terramind_nyc_lora/`,
-  `experiments/19_prithvi_nyc_v2/`,
-  `experiments/20_ttm_battery_surge/`: full reproduction recipes for
-  the three HF artifacts above.
+
+For the long-form architecture document, see [`ARCHITECTURE.md`](ARCHITECTURE.md).
 
 ---
 
-## Local development
+## Data sources
 
-```bash
-# Local server (Ollama primary)
-.venv/bin/uvicorn web.main:app --host 127.0.0.1 --port 7860
+Riprap contacts only public-record federal, state, and city sources at
+runtime. No commercial APIs, no proprietary scores, no opaque
+aggregators.
 
-# Local server pointed at AMD MI300X (vLLM primary, Ollama fallback)
-RIPRAP_LLM_PRIMARY=vllm \
-RIPRAP_LLM_BASE_URL=http://<droplet-ip>:8000/v1 \
-RIPRAP_LLM_API_KEY=<token> \
-.venv/bin/uvicorn web.main:app --host 127.0.0.1 --port 7860
+| Source | Hosting agency | Used for |
+|---|---|---|
+| Hurricane Sandy 2012 inundation zone | NYC OTI / NOAA Office for Coastal Management | Cornerstone hazard memory |
+| NYC DEP Stormwater Flood Maps | NYC Department of Environmental Protection | DEP modeled-scenario layers |
+| Hurricane Ida 2021 USGS high-water marks | USGS Short-Term Network | Empirical validation points |
+| FloodNet ultrasonic sensor network | NYU CUSP / FloodNet | Live water-depth observations |
+| NYC 311 flood complaints | NYC Open Data | Empirical complaint history |
+| NOAA tide gauge — The Battery | NOAA CO-OPS | Live tide and surge level |
+| NWS METAR | National Weather Service | Hourly precipitation |
+| NWS public flood alerts | National Weather Service | Active warnings and watches |
+| MTA subway entrances | MTA / NYC Open Data | Transit asset register |
+| NYCHA developments | NYC Housing Authority | Public-housing exposure |
+| NYC DOE schools | NYC Department of Education | Education-asset exposure |
+| NYS DOH hospitals | New York State Department of Health | Critical-facility exposure |
+| USGS 3DEP 1 m DEM | USGS National Map | HAND / TWI microtopography |
+| NYC DOB filings | NYC Department of Buildings | Development-check intent |
+| NPCC4 SLR projections | NYC Mayor's Office of Climate & Environmental Justice | Policy-context corpus (RAG) |
+| Sentinel-2 MSI imagery | ESA / Copernicus | Prithvi + TerraMind inputs |
+
+The full data licence map and vintage table is enumerated in
+[`ARCHITECTURE.md`](ARCHITECTURE.md).
 
-# Programmatic Mellea probe (server must be running)
-.venv/bin/python scripts/probe_mellea.py --query "Hollis" --runs 5
+---
 
-# End-to-end address suite (5 NYC addresses, intent-aware checks)
-.venv/bin/python scripts/probe_addresses.py
+## What Riprap is not
+
+The civil engineer carries the stamp. Riprap surfaces the evidence the
+engineer judges.
+
+- **Not a hydraulic model.** Riprap does not replace HEC-RAS, SWMM, or
+  ICM. It synthesises evidence from completed modelling work; it does
+  not produce new flow or stage estimates.
+- **Not a stamped deliverable.** The briefing is a starting point for
+  a memo, not the memo itself. Professional judgment, field
+  reconnaissance, and the engineer's stamp are required for any
+  actionable output.
+- **Not a substitute for site investigation.** Microtopography is from
+  1 m USGS 3DEP LiDAR, appropriate for screening, not for design.
+- **Not a risk score.** Riprap does not output a 1–10 or 1–100 number.
+  Score-based tools (First Street, ClimateCheck, Jupiter) are
+  different products for different audiences. Riprap is the evidence
+  audit trail behind any such judgment.
+
+---
+
+## Citation
+
+If you reference Riprap in academic or professional work:
+
+```bibtex
+@software{riprap_nyc_2026,
+  author       = {Rahman, Adam Munawar},
+  title        = {Riprap: Citation-Grounded NYC Flood-Exposure Briefings},
+  year         = {2026},
+  url          = {https://github.com/msradam/riprap-nyc},
+  version      = {v0.5.0},
+  note         = {Built for the AMD x lablab.ai Developer Hackathon}
+}
 ```
 
 ---
 
 ## License
 
-Apache 2.0 (this repository). The three NYC-specialised models above
-are also Apache 2.0; underlying upstream models retain their own
-permissive licences (see each `MODEL_CARD.md`).
+Apache 2.0 (this repository). The three NYC-specialised fine-tunes
+above are also Apache 2.0; underlying upstream models retain their
+own permissive licences (see each `MODEL_CARD.md`).
 
 HF Space configuration reference:
 <https://huggingface.co/docs/hub/spaces-config-reference>.
 
 ---
 
-## Credits
-
-The Riprap dam mark is ["Dam" by Chintuza](https://thenounproject.com/icon/dam-4516918/)
-via the Noun Project, licensed CC-BY 3.0. The original SVG embedded
-the attribution as on-canvas text; Riprap's `assets/logo*.svg` strips
-the embedded text and carries the credit here in body copy instead,
-per the Creative Commons attribution requirement.
+## Acknowledgments
+
+- **AMD Developer Cloud** — MI300X compute that made the three
+  Apache-2.0 NYC fine-tunes feasible.
+- **AMD x lablab.ai Developer Hackathon** — the venue.
+- **IBM Research** — Granite 4.1, Granite Embedding 278M, Granite TTM
+  r2, Mellea, and the rest of the open-source Granite ecosystem.
+- **NASA / IBM Prithvi-EO 2.0** and **IBM / ESA TerraMind 1.0** — the
+  geospatial foundation models behind the NYC fine-tunes.
+- **NYU CUSP / FloodNet** — the public sensor network whose data
+  Riprap reads live.
+- **Andrew Hicks** — civil-engineering review of the methodology, and
+  framing for what Riprap is not.
+- **The Riprap dam mark** — ["Dam" by Chintuza](https://thenounproject.com/icon/dam-4516918/)
+  via the Noun Project, licensed CC-BY 3.0. The original SVG embedded
+  the attribution as on-canvas text; Riprap's `assets/logo*.svg`
+  strips the embedded text and carries the credit here in body copy
+  instead, per the Creative Commons attribution requirement.

docker-compose.yml

@@ -0,0 +1,52 @@
+# Riprap — local + self-hosted orchestration.
+#
+# Default `docker compose up` starts only the app container, which
+# expects RIPRAP_LLM_BASE_URL / RIPRAP_ML_BASE_URL to point at an
+# external inference backend (the live HF Space, your own
+# self-hosted instance, etc. — see .env.example).
+#
+# Full self-host (requires an AMD ROCm or NVIDIA CUDA GPU):
+#
+#     docker compose --profile with-models up
+#
+# This adds the riprap-models GPU specialist service; you still need
+# a separate vLLM serving Granite 4.1 8B for the Capstone reconciler
+# (see docs/DROPLET-RUNBOOK.md for the canonical bring-up).
+
+services:
+  riprap-app:
+    image: msradam/riprap-nyc:v0.5.0
+    build:
+      context: .
+      dockerfile: Dockerfile.app
+    ports:
+      - "7860:7860"
+    environment:
+      - RIPRAP_LLM_PRIMARY=${RIPRAP_LLM_PRIMARY:-vllm}
+      - RIPRAP_LLM_BASE_URL=${RIPRAP_LLM_BASE_URL}
+      - RIPRAP_LLM_API_KEY=${RIPRAP_LLM_API_KEY}
+      - RIPRAP_ML_BASE_URL=${RIPRAP_ML_BASE_URL}
+      - RIPRAP_ML_API_KEY=${RIPRAP_ML_API_KEY}
+      - RIPRAP_HARDWARE_LABEL=${RIPRAP_HARDWARE_LABEL:-Self-hosted}
+      - RIPRAP_ENGINE_LABEL=${RIPRAP_ENGINE_LABEL:-Granite 4.1 / vLLM}
+    restart: unless-stopped
+
+  riprap-models:
+    image: msradam/riprap-models:v0.5.0
+    build:
+      context: .
+      dockerfile: services/riprap-models/Dockerfile
+    ports:
+      - "7861:7860"
+    environment:
+      - RIPRAP_MODELS_API_KEY=${RIPRAP_ML_API_KEY}
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: amd
+              count: 1
+              capabilities: [gpu]
+    profiles:
+      - with-models
+    restart: unless-stopped

docs/DEMO-QUERIES.md

@@ -0,0 +1,131 @@
+# Demo Query Shortlist
+
+_Last updated: 2026-05-06. Primary arc verified on live Space (AMD MI300X · vLLM).
+50-query validation sweep run post-bugfix: 50/50 PASS, avg 11.2 s, 36/50 Mellea 4/4._
+
+---
+
+## Primary arc (the three-query demo)
+
+Together these show: resident / planner / grant-writer persona breadth,
+all five Stones firing (or deterministically skipping), Granite TTM r2 +
+Prithvi-EO-2.0-NYC-Pluvial + Granite Embedding 278M fine-tunes lighting up,
+and the new two-column compare layout.
+
+---
+
+### Query 1: "I'm thinking about renting an apartment at 80 Pioneer Street, Brooklyn. Should I worry?"
+
+**Persona:** Renter evaluating a move to Red Hook — canonical Sandy turf.
+**Borough / neighborhood:** Red Hook, Brooklyn
+**Intent:** `single_address`
+**Verified wall-clock:** 5.7 s (2026-05-06); **9.8 s (50-query sweep, 2026-05-06)**
+**Mellea:** 4/4, 0 rerolls (cleanest result in the suite; confirmed clean in sweep)
+**Stones fired / silent / errored:**
+- Cornerstone (Sandy, DEP stormwater): fired — Sandy inside ✓, DEP outside (negative result is cited)
+- Touchstone (311, FloodNet, NOAA/NWS): fired — 65 complaints, 4 FloodNet events, NOAA gauge live
+- Lodestone (microtopo, Ida HWM): fired — TWI 14.79 (very high), Ida HWM 130 m away
+- Keystone (TTM forecast, Prithvi-EO v2, GLiNER): fired — surge forecast, Prithvi polygon lookup, entities extracted
+- Capstone (RAG + reconcile): fired — 1 RAG hit (rag_nycha 0.84), Mellea 4/4
+- `prithvi_eo_live`, `terramind_synthesis`: errored (torchvision::nms on cpu-basic — known, deterministic)
+**Fine-tunes invoked:** Granite TTM r2 (tide surge), Granite-TTM-r2-Battery-Surge, Prithvi-EO-2.0-NYC-Pluvial (v2 polygon), Granite Embedding 278M (RAG), GLiNER
+**Briefing verdict opener:** "The address at 80 PIONEER STREET, Brooklyn, NY, is **significantly exposed to flood risk**, as it was **within the Hurricane Sandy inundation zone** on October 29–30, 2012 [sandy] and sits at a **topographic low point** with a **Topographic Wetness Index (TWI) of 14.79**, indicating very high saturation propensity [microtopo]."
+**Fragility notes:** 0 rerolls on both live Space run and sessions notes baseline run. Lowest reroll risk in the suite. Geocoder resolves cleanly to Red Hook every time.
+
+---
+
+### Query 2: "Hollis, Queens"
+
+**Persona:** NYC OEM/DEP capital planner looking at sewer backlog by NTA.
+**Borough / neighborhood:** Hollis, NTA QN1206, Queens
+**Intent:** `neighborhood`
+**Verified wall-clock:** 3.9 s (2026-05-06); **7.0 s (50-query sweep, 2026-05-06)**
+**Mellea:** 4/4, 0 rerolls (confirmed clean in sweep)
+**Stones fired / silent / errored:**
+- 311, DEP stormwater, microtopo: all fired
+- NTA-level specialists run (8 steps total on cpu-basic Space)
+- Keystone/Prithvi/TerraMind: silenced by design for neighborhood intent
+**Fine-tunes invoked:** Granite Embedding 278M (RAG), GLiNER; TTM may fire for NTA-level surge context
+**Briefing verdict opener:** "Hollis, located in Queens (NTA QN1206) as per [nta_resolve], experiences moderate flood exposure with significant sewer-related complaints and terrain features conducive to flooding."
+**Fragility notes:** Bare NTA name — relies on planner routing `neighborhood` correctly. Has been stable across all probe runs. Low reroll risk. Wall-clock under 5 s on vLLM; well within demo patience.
+
+---
+
+### Query 3 (compare): "Compare 80 Pioneer Street Brooklyn to 100 Gold Street Manhattan"
+
+**Persona:** Real-estate attorney comparing a Sandy-zone lease to a lower-risk mid-Manhattan address; or a journalist showing the contrast.
+**Borough / neighborhood:** Red Hook, Brooklyn vs Financial District, Manhattan
+**Intent:** `compare` (verified routing on live Space post-28a77ae fix)
+**Verified wall-clock:** ~15 s (estimated 2026-05-06); **20.7 s (50-query sweep, 2026-05-06)**
+**Mellea:** 4/4 combined (0 rerolls) — confirmed clean in sweep
+**Stones fired / silent / errored:** Full single_address FSM run for each target (24 steps each); same error pattern as Query 1 (torchvision::nms deterministic)
+**Fine-tunes invoked:** Granite TTM r2, Granite-TTM-r2-Battery-Surge, Prithvi-EO-2.0-NYC-Pluvial, Granite Embedding 278M, GLiNER (all for both targets)
+**Briefing verdict opener:** Two-column layout renders in the UI. PLACE A opener: "The address at 80 PIONEER STREET, Brooklyn, NY, is **significantly exposed to flood risk**…" PLACE B opener (Gold Street) contrasts — lower 311 count (26 vs 65), no Sandy inundation, Ida HWM 3.47 km away vs 130 m.
+**Delta bar content:** Sandy zone: ✓ Pioneer / ✗ Gold · 311 complaints: 65 vs 26 · FloodNet events: 4 vs 1 · Ida HWM nearest: 130 m vs 3,472 m · Elevation pct\_200m lower: 0.8% vs 38.2%
+**Fragility notes:** Requires compare intent to route (planner must parse two addresses from free text). Verified stable post-fix. If the planner unexpectedly returns `single_address`, PLACE B will be silently dropped — watch the plan badge in the UI before proceeding. No reroll risk on either leg.
+
+---
+
+## Verified clean queries (50-query sweep, 2026-05-06)
+
+Best queries per intent type from the sweep — 0 rerolls, Mellea 4/4, fast wall-clock.
+
+### Address (cleanest 3)
+
+| Query | Wall-clock | Mellea | Rerolls | Notes |
+|-------|-----------|--------|---------|-------|
+| `I'm thinking about renting an apartment at 80 Pioneer Street, Brooklyn. Should I worry?` | 9.8 s | 4/4 | 0 | Primary demo arc. All Stones fire. |
+| `Hollis, Queens` | 7.0 s | 4/4 | 0 | Also neighborhood intent — clean on both paths. |
+| `100 Gold Street, Manhattan` | 10.6 s | 4/4 | 0 | Negative control: outside Sandy zone; low reroll. |
+
+### Neighborhood (cleanest 3)
+
+| Query | Wall-clock | Mellea | Rerolls | Notes |
+|-------|-----------|--------|---------|-------|
+| `Coney Island, Brooklyn` | 5.5 s | 4/4 | 0 | Fastest neighborhood in suite. 87.5% NTA in Sandy. |
+| `Hunts Point, Bronx` | 5.3 s | 4/4 | 0 | Clean South Bronx probe; Bronx representation. |
+| `East New York, Brooklyn` | 7.0 s | 4/4 | 0 | Inland stormwater narrative, different from coastal arc. |
+
+### Compare (cleanest 3)
+
+| Query | Wall-clock | Mellea | Rerolls | Notes |
+|-------|-----------|--------|---------|-------|
+| `Compare 80 Pioneer Street Brooklyn to 100 Gold Street Manhattan` | 20.7 s | 4/4 | 0 | Primary demo arc. Maximum delta. Cross-borough. |
+| `Compare Red Hook Brooklyn to the Financial District Manhattan for flood risk` | 18.5 s | 4/4 | 0 | Neighborhood-vs-neighborhood cross-borough. |
+| `Compare 157-11 Rockaway Beach Blvd Queens to 100 Gold Street Manhattan` | 15.2 s | 4/4 | 0 | Far Rockaway vs FiDi — extreme delta. |
+
+### Planner / development check (cleanest)
+
+| Query | Wall-clock | Mellea | Rerolls | Notes |
+|-------|-----------|--------|---------|-------|
+| (see "Queries to avoid" — all planner queries in sweep had rr≥2 or 0/4) | — | — | — | Planner intent is fragile for demo; prefer address/neighborhood/compare. |
+
+---
+
+## Backup queries
+
+| Primary | Backup | Reason |
+|---------|--------|--------|
+| Query 1 — 80 Pioneer Street, Brooklyn | `Coney Island, Brooklyn` | Neighborhood intent; 4/4 0rr 5.5 s in sweep. Different Stones surface (NTA-level DEP, 87.5% NTA in Sandy zone). Swap if Pioneer geocoder drifts. |
+| Query 2 — Hollis, Queens | `Hunts Point, Bronx` | 4/4 0rr 5.3 s in sweep. Shows Bronx coverage, different stormwater narrative. |
+| Query 3 compare — Pioneer vs Gold | `Compare Red Hook Brooklyn to the Financial District Manhattan` | 4/4 0rr 18.5 s. Neighborhood-vs-neighborhood; cleaner than address parsing if planner struggles. |
+
+---
+
+## Queries to avoid
+
+| Query | Failure mode |
+|-------|-------------|
+| `What was the flood situation at 750 Baychester Avenue, Bronx during Ida?` | `not_implemented` — "during Ida" triggers retrospective intent; returns 0/4 in 0.03 s. Confirmed in 50-query sweep. |
+| `What's the storm surge risk for 157-11 Rockaway Beach Blvd, Queens?` | All specialists errored (0.0s wall-clock per specialist); 0/4 Mellea, 1.6 s total. Geocoder likely fails on this address format; reword as neighborhood ("Far Rockaway, Queens") instead. |
+| `What's the flood risk at 325 Hudson Street, Manhattan?` | 2/4 Mellea with 2 rerolls — citations_resolve and numerics_grounded both failing. Hudson Square has sparse source data; risky for demo. |
+| All planner/development-check queries | rr≥2 across the board in sweep (q031, q035, q039, q044, q048). Development-check intent sparse on citations; reconciler hits MAX_ATTEMPTS. Avoid on demo. |
+| `Compare Canarsie Brooklyn to Park Slope Brooklyn` | 3/4 Mellea, 3 rerolls, 24.2 s — slowest same-borough compare in sweep. Use cross-borough compares instead. |
+| `Compare Mott Haven Bronx to Hunts Point Bronx` | 4/4 but 3 rerolls, 28.0 s — slowest query in sweep. Both NTAs have sparse sensor data. |
+| `Compare Hollis Queens to Red Hook Brooklyn` | Fragile (prior run) — PLACE A (Hollis) failed `citations_resolve`; will exceed MAX_ATTEMPTS under load. |
+| `Compare the Two Bridges neighborhood to Battery Park City` | Hard failure — planner fell through to `single_address`; neighborhood-vs-neighborhood compare fragile. |
+| `442 East Houston Street, Manhattan` (solo) | 2 rerolls historically — acceptable secondary, risky as opener. |
+| `504 Grand Street, Manhattan` | 0/4 Mellea in every run; geocodes but reconcile fails. |
+| Any `live_now` query (e.g. FloodNet BK-018) | 0/4 Mellea — live_now reconcile does not pass grounding checks. |
+| `What would Riprap have said about Hollis on August 31, 2021…` | `not_implemented` — retrospective intent not wired. |
+| `EJNYC × Riprap pairing` / BBMCR capital planning | 0/4 Mellea, 0 steps — planner routes to `development_check` but no DOB filings match. |

docs/DOCKER-PUBLISH.md

@@ -0,0 +1,140 @@
+# Publishing the Riprap Docker images
+
+The repo ships the build context for two images:
+
+| Image | Dockerfile | Purpose |
+|---|---|---|
+| `msradam/riprap-nyc` | [`Dockerfile.app`](../Dockerfile.app) | Lightweight FastAPI + SvelteKit app. Talks to remote LLM/ML backends over HTTP. |
+| `msradam/riprap-models` | [`services/riprap-models/Dockerfile`](../services/riprap-models/Dockerfile) | ROCm + PyTorch GPU specialist service (Prithvi, TerraMind, GLiNER, Granite Embed, TTM). |
+
+There is also a third Dockerfile at the repo root (`Dockerfile`) — that
+is the heavy HF Space image (CUDA + bundled Ollama + Granite weights).
+It builds and ships automatically when the `huggingface` git remote is
+pushed; **do not** publish it under `msradam/riprap-nyc` on Docker Hub
+or GHCR, that name is reserved for the lightweight self-host image.
+
+This document covers what was deferred from the v0.5.0 cleanup pass:
+**actually building and pushing** the public Docker Hub / GHCR
+artefacts. The compose file and `.env.example` are already in the repo
+and reference the eventual `msradam/riprap-nyc:v0.5.0` tag.
+
+---
+
+## 1. Build locally
+
+The build context has to be the repo root for both images, because
+`services/riprap-models/Dockerfile` reaches up to grab
+`services/riprap-models/main.py` and the requirements files.
+
+```bash
+cd $(git rev-parse --show-toplevel)
+
+# Lightweight self-host image (linux/amd64 by default; pass
+# --platform linux/arm64,linux/amd64 if you want a multi-arch
+# manifest and have buildx + qemu set up).
+docker build \
+  -f Dockerfile.app \
+  -t msradam/riprap-nyc:v0.5.0 \
+  -t msradam/riprap-nyc:latest \
+  .
+
+# GPU specialist service. Requires a build host with at least
+# ~30 GB free disk for the rocm/pytorch base + wheels.
+docker build \
+  -f services/riprap-models/Dockerfile \
+  -t msradam/riprap-models:v0.5.0 \
+  -t msradam/riprap-models:latest \
+  .
+```
+
+Expected sizes:
+
+- `riprap-nyc` ~1.4 GB (python:3.10-slim + GDAL + torch CPU + transformers)
+- `riprap-models` ~12-15 GB (ROCm + torch dev build + terratorch chain)
+
+---
+
+## 2. Smoke-test the app image locally
+
+```bash
+cp .env.example .env
+# fill .env with reachable RIPRAP_LLM_BASE_URL / RIPRAP_ML_BASE_URL.
+# Easiest: point at the live HF Space's backends:
+#   RIPRAP_LLM_PRIMARY=ollama
+#   RIPRAP_LLM_BASE_URL=https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space
+# (or your own droplet from docs/DROPLET-RUNBOOK.md).
+
+docker compose up -d riprap-app
+sleep 10
+
+# Drive the SSE endpoint via curl
+curl -sN "http://localhost:7860/api/agent/stream?q=80%20Pioneer%20Street%20Brooklyn" \
+  --max-time 120 | head -40
+
+# Or run the canonical 5-address probe against the container
+RIPRAP_LLM_BASE_URL=http://localhost:7860 \
+  .venv/bin/python scripts/probe_addresses.py --base http://localhost:7860
+# Expect: 5/5 PASS.
+```
+
+Stop:
+
+```bash
+docker compose down
+```
+
+---
+
+## 3. Push to Docker Hub
+
+```bash
+docker login -u msradam        # then enter the password / access token
+docker push msradam/riprap-nyc:v0.5.0
+docker push msradam/riprap-nyc:latest
+docker push msradam/riprap-models:v0.5.0
+docker push msradam/riprap-models:latest
+```
+
+If you'd rather use GitHub Container Registry instead:
+
+```bash
+echo "$GH_TOKEN" | docker login ghcr.io -u msradam --password-stdin
+docker tag msradam/riprap-nyc:v0.5.0 ghcr.io/msradam/riprap-nyc:v0.5.0
+docker tag msradam/riprap-nyc:latest ghcr.io/msradam/riprap-nyc:latest
+docker push ghcr.io/msradam/riprap-nyc:v0.5.0
+docker push ghcr.io/msradam/riprap-nyc:latest
+docker tag msradam/riprap-models:v0.5.0 ghcr.io/msradam/riprap-models:v0.5.0
+docker tag msradam/riprap-models:latest ghcr.io/msradam/riprap-models:latest
+docker push ghcr.io/msradam/riprap-models:v0.5.0
+docker push ghcr.io/msradam/riprap-models:latest
+```
+
+Required PAT scope for GHCR: `write:packages`.
+
+---
+
+## 4. After pushing — README updates
+
+Once the v0.5.0 tag is live on Docker Hub, the existing
+[`README.md`](../README.md) "Run locally" section already points at
+the right tag — no further edits needed.
+
+If you publish under a different namespace (a personal Hub account
+you don't want to use long-term, etc.), update the `image:` line in
+[`docker-compose.yml`](../docker-compose.yml) and the references in
+the README.
+
+---
+
+## Status as of v0.5.0 tag (2026-05-07)
+
+- `Dockerfile.app` and `services/riprap-models/Dockerfile` exist and
+  the compose file references both with the correct image tags.
+- The lightweight image was **not** pre-built or pushed during the
+  cleanup pass — the build host (Apple Silicon laptop) had no Docker
+  daemon running and a multi-gigabyte Apple-Silicon → linux/amd64
+  build under QEMU would not finish inside the polish budget. Adam
+  to run section 1 + 3 of this doc on a host with Docker before any
+  external pull will succeed.
+- `docker compose config` validates against the current compose file
+  (verified via podman-compose during the cleanup).

scripts/probe_50.py

@@ -0,0 +1,277 @@
+"""50-query validation sweep against the live HF Space.
+
+Usage:
+    python3 scripts/probe_50.py [--base URL] [--concurrency N] [--timeout S]
+
+Default base: https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space
+"""
+
+import argparse
+import asyncio
+import json
+import time
+from pathlib import Path
+from urllib.parse import quote
+
+import aiohttp
+
+BASE = "https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space"
+QUERIES_FILE = Path("tests/queries_50.json")
+RESULTS_FILE = Path("tests/probe_50_results.json")
+CONCURRENCY = 3
+TIMEOUT_S = 120
+
+STEP_STONE_MAP = {
+    "sandy_inundation": "sandy",
+    "dep_stormwater": "dep",
+    "nyc311": "311",
+    "floodnet": "floodnet",
+    "floodnet_forecast": "floodnet",
+    "noaa_tides": "noaa",
+    "nws_alerts": "nws",
+    "nws_obs": "nws",
+    "microtopo_lidar": "microtopo",
+    "ida_hwm_2021": "ida",
+    "ttm_forecast": "ttm",
+    "ttm_battery_surge": "ttm",
+    "ttm_311_forecast": "ttm",
+    "prithvi_eo_v2": "prithvi_v2",
+    "prithvi_eo_live": "prithvi_live",
+    "gliner_extract": "gliner",
+    "rag_granite_embedding": "rag",
+    "mellea_reconcile_address": "mellea",
+    "geocode": None,
+    "mta_entrance_exposure": "mta",
+    "terramind_synthesis": "terramind",
+}
+
+
+def _parse_sse(chunk: str):
+    events = []
+    event_type = "message"
+    data_lines = []
+    for line in chunk.splitlines():
+        if line.startswith("event:"):
+            event_type = line[6:].strip()
+        elif line.startswith("data:"):
+            data_lines.append(line[5:].strip())
+        elif line == "" and data_lines:
+            raw = " ".join(data_lines)
+            try:
+                payload = json.loads(raw)
+            except json.JSONDecodeError:
+                payload = {"raw": raw}
+            events.append((event_type, payload))
+            event_type = "message"
+            data_lines = []
+    return events
+
+
+async def stream_query(session: aiohttp.ClientSession, query_obj: dict, base: str, timeout_s: float) -> dict:
+    qid = query_obj["id"]
+    query = query_obj["query"]
+    url = f"{base}/api/agent/stream?q={quote(query)}"
+
+    result = {
+        "id": qid,
+        "query": query,
+        "status": "ERROR",
+        "wall_clock_s": None,
+        "intent_returned": None,
+        "mellea_passed": None,
+        "mellea_rerolls": 0,
+        "stones_fired": [],
+        "stones_errored": [],
+        "stones_silent": [],
+        "citations_resolved": None,
+        "compare_targets": None,
+        "error": None,
+    }
+
+    t0 = time.monotonic()
+    buf = ""
+    plan_seen = False
+    final_seen = False
+
+    try:
+        async with session.get(url, timeout=aiohttp.ClientTimeout(total=timeout_s + 10)) as resp:
+            if resp.status != 200:
+                result["error"] = f"HTTP {resp.status}"
+                result["wall_clock_s"] = round(time.monotonic() - t0, 2)
+                return result
+
+            deadline = t0 + timeout_s
+            async for chunk in resp.content.iter_any():
+                if time.monotonic() > deadline:
+                    result["status"] = "TIMEOUT"
+                    result["wall_clock_s"] = round(time.monotonic() - t0, 2)
+                    return result
+
+                buf += chunk.decode("utf-8", errors="replace")
+                # process complete SSE blocks (separated by double-newline)
+                while "\n\n" in buf:
+                    block, buf = buf.split("\n\n", 1)
+                    for evt_type, payload in _parse_sse(block + "\n\n"):
+                        if evt_type == "plan":
+                            plan_seen = True
+                            result["intent_returned"] = payload.get("intent")
+                            targets = payload.get("targets", [])
+                            if result["intent_returned"] == "compare":
+                                result["compare_targets"] = len(targets)
+
+                        elif evt_type == "step":
+                            step = payload.get("step", "")
+                            ok = payload.get("ok")
+                            if step in STEP_STONE_MAP and STEP_STONE_MAP[step]:
+                                stone = STEP_STONE_MAP[step]
+                                if ok is True:
+                                    if stone not in result["stones_fired"]:
+                                        result["stones_fired"].append(stone)
+                                elif ok is False:
+                                    if stone not in result["stones_errored"]:
+                                        result["stones_errored"].append(stone)
+
+                        elif evt_type == "final":
+                            final_seen = True
+                            mellea = payload.get("mellea") or {}
+                            req_passed = len(mellea.get("requirements_passed") or [])
+                            req_total = mellea.get("requirements_total") or 4
+                            result["mellea_passed"] = f"{req_passed}/{req_total}"
+                            result["mellea_rerolls"] = (mellea.get("rerolls") or 0)
+                            audit = payload.get("audit") or {}
+                            result["citations_resolved"] = audit.get("citations_resolved")
+
+                        elif evt_type == "error":
+                            result["error"] = payload.get("err", "unknown error")
+
+                        elif evt_type == "done":
+                            result["wall_clock_s"] = round(time.monotonic() - t0, 2)
+                            if final_seen:
+                                result["status"] = "PASS"
+                            else:
+                                result["status"] = "ERROR"
+                                if not result["error"]:
+                                    result["error"] = "done without final event"
+                            return result
+
+    except asyncio.TimeoutError:
+        result["status"] = "TIMEOUT"
+    except Exception as exc:
+        result["status"] = "ERROR"
+        result["error"] = str(exc)
+
+    result["wall_clock_s"] = round(time.monotonic() - t0, 2)
+    return result
+
+
+async def run_all(queries: list, base: str, timeout_s: float, concurrency: int) -> list:
+    sem = asyncio.Semaphore(concurrency)
+    results = []
+    early_stop = False
+
+    connector = aiohttp.TCPConnector(limit=concurrency + 2)
+    async with aiohttp.ClientSession(connector=connector) as session:
+
+        async def bounded(qobj):
+            nonlocal early_stop
+            if early_stop:
+                return {**qobj, "status": "SKIPPED", "wall_clock_s": None, "error": "early stop"}
+            async with sem:
+                r = await stream_query(session, qobj, base, timeout_s)
+                tag = f"[{r['id']}]"
+                wc = f"{r['wall_clock_s']:.1f}s" if r["wall_clock_s"] else "?"
+                mel = r.get("mellea_passed") or "-"
+                rr = r.get("mellea_rerolls") or 0
+                print(f"{tag} {r['status']} {wc} mellea={mel} rerolls={rr}", flush=True)
+                return r
+
+        tasks = [asyncio.create_task(bounded(q)) for q in queries]
+
+        done_count = 0
+        for coro in asyncio.as_completed(tasks):
+            r = await coro
+            results.append(r)
+            done_count += 1
+            # Check early-stop: >10 failures in first 20
+            if done_count <= 20:
+                bad = sum(1 for x in results if x["status"] in ("TIMEOUT", "ERROR"))
+                if bad > 10:
+                    print(f"\nEARLY STOP: {bad} failures in first {done_count} queries — Space appears degraded.", flush=True)
+                    early_stop = True
+
+    # Sort by original query order
+    id_order = {q["id"]: i for i, q in enumerate(queries)}
+    results.sort(key=lambda r: id_order.get(r["id"], 999))
+    return results
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--base", default=BASE)
+    ap.add_argument("--concurrency", type=int, default=CONCURRENCY)
+    ap.add_argument("--timeout", type=float, default=TIMEOUT_S)
+    args = ap.parse_args()
+
+    queries = json.loads(QUERIES_FILE.read_text())
+    print(f"Running {len(queries)} queries against {args.base} (concurrency={args.concurrency}, timeout={args.timeout}s)\n", flush=True)
+
+    results = asyncio.run(run_all(queries, args.base, args.timeout, args.concurrency))
+
+    # Write results
+    RESULTS_FILE.write_text(json.dumps(results, indent=2))
+    print(f"\nResults written to {RESULTS_FILE}")
+
+    # Update verified flags in queries file
+    passed_ids = {r["id"] for r in results if r["status"] == "PASS"}
+    for q in queries:
+        if q["id"] in passed_ids:
+            q["verified"] = True
+    QUERIES_FILE.write_text(json.dumps(queries, indent=2))
+    print(f"Updated verified flags in {QUERIES_FILE}")
+
+    # Summary
+    total = len(results)
+    passed = sum(1 for r in results if r["status"] == "PASS")
+    timed_out = sum(1 for r in results if r["status"] == "TIMEOUT")
+    errored = sum(1 for r in results if r["status"] == "ERROR")
+    skipped = sum(1 for r in results if r["status"] == "SKIPPED")
+    wall_clocks = [r["wall_clock_s"] for r in results if r["status"] == "PASS" and r["wall_clock_s"]]
+    avg_wall = sum(wall_clocks) / len(wall_clocks) if wall_clocks else 0
+    max_wall = max(wall_clocks) if wall_clocks else 0
+    mellea_perfect = sum(1 for r in results if r.get("mellea_passed") == "4/4")
+
+    print(f"\n{'='*60}")
+    print(f"Total:          {total}")
+    print(f"PASS:           {passed} ({100*passed//total if total else 0}%)")
+    print(f"TIMEOUT:        {timed_out}")
+    print(f"ERROR:          {errored}")
+    if skipped:
+        print(f"SKIPPED:        {skipped} (early stop)")
+    print(f"Avg wall-clock: {avg_wall:.1f}s  (passing queries)")
+    print(f"Max wall-clock: {max_wall:.1f}s")
+    print(f"Mellea 4/4:     {mellea_perfect} ({100*mellea_perfect//total if total else 0}%)")
+
+    failures = [r for r in results if r["status"] != "PASS"]
+    if failures:
+        print("\n--- FAILURES ---")
+        for r in failures:
+            print(f"  [{r['id']}] {r['status']} — {r['query'][:60]}")
+            if r.get("error"):
+                print(f"           err: {r['error'][:80]}")
+
+    slowest = sorted([r for r in results if r.get("wall_clock_s")], key=lambda x: x["wall_clock_s"], reverse=True)[:5]
+    print("\n--- SLOWEST 5 ---")
+    for r in slowest:
+        print(f"  [{r['id']}] {r['wall_clock_s']:.1f}s — {r['query'][:60]}")
+
+    high_rr = [r for r in results if (r.get("mellea_rerolls") or 0) > 1]
+    if high_rr:
+        print("\n--- HIGH REROLLS (>1) ---")
+        for r in high_rr:
+            print(f"  [{r['id']}] rerolls={r['mellea_rerolls']} — {r['query'][:60]}")
+
+    print(f"{'='*60}")
+
+
+if __name__ == "__main__":
+    main()

slides/VIDEO_TRANSCRIPT.md

@@ -0,0 +1,159 @@
+# Riprap — Demo Video Transcript
+## AMD × lablab.ai Developer Hackathon · May 4–10 2026
+## Target: ~5 minutes
+
+---
+
+### [SLIDE 1 — Title card] · ~0:00–0:10
+
+**SCREEN:** Slide 1. Riprap logo. "Citation-grounded NYC flood-exposure briefings, on AMD MI300X."
+
+> Climate risk is one of the most consequential datasets in real estate and urban planning right now.
+> But the tools that exist today give you a score. A number from one to ten. No explanation. No sources. Just a black box.
+> We built Riprap to be the audit trail behind that number.
+
+---
+
+### [SLIDE 2 — The problem] · ~0:10–0:30
+
+**SCREEN:** Slide 2. "Climate risk data is a black box." Two boxes: market scores vs Zillow pulling climate data.
+
+> First Street gives you a flood factor. ClimateCheck gives you a percentile. Jupiter charges enterprise rates for a proprietary model.
+> In November 2025, Zillow removed climate risk scores from listings entirely — under pressure from the real-estate industry.
+> When a number meets resistance, the only defense is the audit trail. Riprap *is* the audit trail.
+
+---
+
+### [SLIDE 3 — Solution] · ~0:30–0:40
+
+**SCREEN:** Slide 3. Screenshot of the Riprap UI — briefing prose with citation chips, map panel, stone trace.
+
+> Type any address in New York City. Get back a written briefing where every numeric claim — every flood depth, every complaint count, every risk percentage — links to its primary public-record source.
+> Federal data. City data. Apache-2.0 models. Nothing proprietary.
+
+---
+
+### [SLIDE 4 — Civic-tech case] · ~0:40–1:00
+
+**SCREEN:** Slide 4. Four boxes: NY Disclosure Law, DEP Stormwater Plan, EJNYC FVI, No commercial APIs.
+
+> New York's property disclosure law — March 2024 — requires sellers to disclose flood history. Riprap is the citable narrative that makes that disclosure meaningful.
+> The DEP's $30 billion stormwater priority list covers 86 sites. Riprap provides the per-neighborhood evidence layer that backs up that ranking.
+> And because every model is Apache-2.0 and every dataset is public record, environmental justice advocates can audit the same system that a developer uses. No commercial gatekeeping.
+
+---
+
+### [SLIDE 5 — Architecture] · ~1:00–1:30
+
+**SCREEN:** Slide 5. "Five Stones fan out. One cited briefing comes back." Four evidence cards (Cornerstone, Keystone, Touchstone, Lodestone) + Capstone bar at bottom.
+
+> The architecture is called Five Stones. A natural-language query hits the Planner — Granite 4.1 3B — which classifies intent and selects a specialist roster.
+> Each Stone is a class of evidence. Cornerstone reads the hazard record: Sandy inundation zones, FEMA flood maps, USGS high-water marks, Prithvi satellite imagery. Keystone reads what's exposed: MTA stations, schools, hospitals, building footprints from our TerraMind NYC fine-tune. Touchstone reads what's happening now: live FloodNet sensors, 311 flood complaints, NOAA tide gauges. Lodestone looks forward: NPCC4 sea-level projections, our Granite TTM Battery surge nowcast.
+> Then Capstone — Granite 4.1 8B on vLLM — synthesizes everything into a four-section briefing. Every numeric claim must cite its source, or the Mellea rejection sampler rerolls it. The briefing doesn't publish until all four grounding checks pass.
+
+---
+
+### [SLIDE 6 — Fine-tuning] · ~1:30–1:50
+
+**SCREEN:** Slide 6. Three fine-tune cards: Prithvi-EO-2.0-NYC-Pluvial · TerraMind-NYC-Adapters · Granite-TTM-r2-Battery-Surge.
+
+> We trained three NYC-specialized models on AMD MI300X hardware, all published Apache-2.0 on Hugging Face Hub.
+> Prithvi-EO-2.0-NYC-Pluvial detects pluvial flooding from Sentinel-2 imagery — 0.60 IoU on the Ida test set, a 6× lift over the baseline. TerraMind-NYC-Adapters adds LoRA adapters for building footprint and land-use classification, plus 6 points of mIoU in 18 minutes of training. And Granite TTM r2 fine-tuned on the Battery tide gauge gives us a 9.6-hour surge residual nowcast at 35% lower RMSE than persistence.
+> These aren't experiments. They're in production in every briefing.
+
+---
+
+### [SLIDE 7 — Demo intro] · ~1:50–2:00
+
+**SCREEN:** Slide 7. "Live demo." Query text: *"I'm thinking about renting an apartment at 80 Pioneer Street, Brooklyn. Should I worry?"*
+
+> Let's run it live. Three queries, three different intents.
+
+---
+
+### [DEMO CLIP 1 — Pioneer Street, single address] · ~2:00–2:40
+
+**SCREEN:** Cut to recording `riprap-demo-20260506-234537.webm` at **t≈62s**.
+- Left panel: briefing fully rendered. Title "Flood-exposure briefing · 80 Pioneer Street, Red Hook."
+- Sections 01 Status through 04 Policy context visible with inline `[1]` `[2]` `[3]` citation chips.
+- Right panel: Sandy flood map showing Pioneer Street pinned inside the inundation zone (blue overlay).
+- Status bar: `intent: single_address · 19 specialists · attempt 1 · done`
+
+> Thirteen seconds end-to-end. Nineteen specialists fired. The briefing tells you: Pioneer Street sits inside Hurricane Sandy's 2012 inundation zone, 0.82 metres above the nearest drainage channel, in the 78th percentile for water accumulation risk. FloodNet sensor FN-BK-018 — two blocks away — has logged four flood events since 2023. The DEP's high-intensity scenario puts the site under six inches of standing water. Every number has a footnote. Every footnote resolves to a named public dataset.
+
+**SCREEN:** Slow scroll of left briefing panel while voiceover continues. Citation chips `[1]` `[2]` `[3]` visible inline. Bottom of panel shows section 04 "Policy context" with RAG passages from NPCC4.
+
+> The map on the right isn't decorative — it's live. The layers are grouped by Stone, so you can see exactly which evidence tier each visual comes from.
+
+---
+
+### [DEMO CLIP 2 — Mellea 4/4 grounding card] · ~2:40–3:05
+
+**SCREEN:** Recording at **t≈270s**. Right panel scrolled to Capstone section.
+- Capstone card: **"grounding checks: 4/4 passed"**, rerolls=0, passed=4, attempt=1.
+- Four check items: `numerics_grounded` · `no_placeholder_tokens` · `citations_dense` · `citations_resolve`
+
+> Here's the proof. Mellea ran four grounding checks on the completed briefing: every non-trivial number appears verbatim in a source document; no template fragments leaked through; every number has a citation in the same sentence; every cited ID resolves to an actual input document.
+> Four of four. First attempt. Zero rerolls.
+> This is what "every number cites its source" looks like as a machine-verifiable claim, not a marketing promise.
+
+---
+
+### [DEMO CLIP 3 — Hollis, Queens · neighborhood intent] · ~3:05–3:30
+
+**SCREEN:** Recording at **t≈510s**. New query: "Hollis, Queens."
+- Status bar: `intent: neighborhood · 9 specialists · attempt 1 · done`
+- Left panel: neighborhood briefing — NTA-level statistics, DEP stormwater scenario percentages, 311 flood complaint counts.
+- Right panel: Cornerstone section with Sandy inundation percentage for the NTA + FEMA layer.
+
+> Same system, different intent. "Hollis, Queens" is a neighborhood query — nine specialists instead of nineteen, NTA-level aggregates instead of point data. The planner classified it in under a second and dispatched the right Stone roster automatically.
+> Hollis is a stormwater-flooding neighborhood, not a coastal one. The briefing reflects that: Sandy inundation is low; the DEP moderate-intensity scenario covers 22% of impervious surface; 311 flood complaints cluster around the 180th Street drainage corridor. Different geography, different risk profile, same citation standard.
+
+---
+
+### [DEMO CLIP 4 — Compare · Pioneer vs Gold Street] · ~3:30–4:00
+
+**SCREEN:** Screenshot `compare-hf.jpg` — the live HF Space compare result.
+- Title: "COMPARE 80 PIONEER STREET BROOKLYN TO 100 GOLD STREET MANHATTAN"
+- **Key differences bar** at top: `Status: 80 vs 100` · `Empirical: 65 vs 26` · `Modeled Drainage (HAND): 3.81m vs 38.2m`
+- Side-by-side Status sections — Pioneer: "exposed to flood risk, Sandy inundation zone, TWI 14.79." Gold St: "moderate flood exposure, HAND 6.42m, mid-slope position."
+- Status bar: `intent: compare · 11 specialists · attempt 1 · done`
+
+> One more. "Compare 80 Pioneer Street Brooklyn to 100 Gold Street Manhattan." The planner routes this as a compare intent — two full specialist runs, results merged side by side.
+> The key differences bar surfaces the contrast immediately: Pioneer Street sits 3.81 metres above its nearest drainage channel. Gold Street at 100 is 38.2 metres. Pioneer has 65 empirical flood signals in the record; Gold Street has 26. Same city. Same storm history. Radically different exposure.
+> This is the query a developer, an insurer, or a disclosure attorney actually wants to run.
+
+---
+
+### [SLIDE 8 — What's next] · ~4:00–4:20
+
+**SCREEN:** Slide 8. Three boxes: Break out the Stones · Other flood-impacted cities · Historical-event mode.
+
+> The architecture is NYC-specific by data choice, not by code.
+> The five-Stone pattern generalizes: Houston, Miami, Jakarta — swap the probe sets and RAG corpus, the FSM is the same. Each Stone is already isolated enough to ship as a standalone package.
+> And we want to add historical-event mode: re-run the FSM against snapshot data from before Sandy, before Ida. Validation against measured outcomes as a first-class feature, not an afterthought.
+
+---
+
+### [SLIDE 9 — CTA] · ~4:20–4:30
+
+**SCREEN:** Slide 9. Dark background. "github.com/msradam/riprap-nyc" large. "Apache-2.0 · public data · AMD MI300X · IBM Granite 4.1 · Mellea grounding."
+
+> Everything is open. Apache-2.0, public data, MIT and Apache models.
+> Riprap on AMD MI300X. Try it at the link in the description.
+
+---
+
+## Segment map
+
+| Segment | Source | Timestamp / asset |
+|---------|--------|-------------------|
+| Slides 1–7 | `slides/deck.pdf` | screen-record slide deck |
+| Demo clip 1 — Pioneer briefing + map | `assets/video/riprap-demo-20260506-234537.webm` | t≈62–90s |
+| Demo clip 2 — Mellea 4/4 card | `assets/video/riprap-demo-20260506-234537.webm` | t≈265–290s |
+| Demo clip 3 — Hollis neighborhood | `assets/video/riprap-demo-20260506-234537.webm` | t≈505–545s |
+| Demo clip 4 — Compare result | `compare-hf.jpg` (static screenshot or re-record) | n/a |
+| Slides 8–9 | `slides/deck.pdf` | screen-record slide deck |
+
+## Total runtime estimate
+~4:30 — comfortable under 5 min with natural pauses.

tests/probe_50_results.json

@@ -0,0 +1,1308 @@
+[
+  {
+    "id": "q001",
+    "query": "I'm thinking about renting an apartment at 80 Pioneer Street, Brooklyn. Should I worry?",
+    "status": "PASS",
+    "wall_clock_s": 9.77,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q002",
+    "query": "Hollis, Queens",
+    "status": "PASS",
+    "wall_clock_s": 6.95,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q003",
+    "query": "Compare 80 Pioneer Street Brooklyn to 100 Gold Street Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 20.69,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea",
+      "mta"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q004",
+    "query": "442 East Houston Street, Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 8.51,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q005",
+    "query": "100 Gold Street, Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 10.64,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q006",
+    "query": "Coney Island, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 5.48,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q007",
+    "query": "2940 Brighton 3rd St, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 9.89,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q008",
+    "query": "Red Hook, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 6.89,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q009",
+    "query": "What's the flood risk for 345 East 94th Street, Manhattan?",
+    "status": "PASS",
+    "wall_clock_s": 10.04,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q010",
+    "query": "Is 1 MetroTech Center in Brooklyn at risk during major storms?",
+    "status": "PASS",
+    "wall_clock_s": 14.5,
+    "intent_returned": "single_address",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q011",
+    "query": "Howard Beach, Queens",
+    "status": "PASS",
+    "wall_clock_s": 6.89,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q012",
+    "query": "Canarsie, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 8.0,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q013",
+    "query": "Compare Canarsie Brooklyn to Park Slope Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 24.22,
+    "intent_returned": "compare",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 3,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea",
+      "mta"
+    ],
+    "stones_errored": [
+      "mta",
+      "prithvi_live",
+      "terramind",
+      "floodnet"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q014",
+    "query": "Should I worry about flooding at 520 West 145th Street in Manhattan?",
+    "status": "PASS",
+    "wall_clock_s": 10.35,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q015",
+    "query": "Mott Haven, Bronx",
+    "status": "PASS",
+    "wall_clock_s": 6.12,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q016",
+    "query": "What was the flood situation at 750 Baychester Avenue, Bronx during Ida?",
+    "status": "PASS",
+    "wall_clock_s": 0.03,
+    "intent_returned": "not_implemented",
+    "mellea_passed": "0/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q017",
+    "query": "Is the NYCHA Gowanus Houses at risk from sea level rise?",
+    "status": "PASS",
+    "wall_clock_s": 5.84,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q018",
+    "query": "Compare 750 Baychester Avenue Bronx to 150 Riverside Drive Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 15.64,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q019",
+    "query": "Tottenville, Staten Island",
+    "status": "PASS",
+    "wall_clock_s": 7.51,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q020",
+    "query": "What's the flood risk at 151 West 34th Street, Manhattan? It's near Penn Station.",
+    "status": "PASS",
+    "wall_clock_s": 10.2,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q021",
+    "query": "Compare Red Hook Brooklyn to the Financial District Manhattan for flood risk",
+    "status": "PASS",
+    "wall_clock_s": 18.46,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q022",
+    "query": "Is 595 Dean Street in Brooklyn at risk of flooding?",
+    "status": "PASS",
+    "wall_clock_s": 10.97,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q023",
+    "query": "South Beach, Staten Island",
+    "status": "PASS",
+    "wall_clock_s": 9.48,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q024",
+    "query": "How exposed is 1 Fulton Street Manhattan to surge from a major hurricane?",
+    "status": "PASS",
+    "wall_clock_s": 9.87,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q025",
+    "query": "Compare Howard Beach Queens to Forest Hills Queens for flood risk",
+    "status": "PASS",
+    "wall_clock_s": 19.63,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea",
+      "mta"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q026",
+    "query": "What's the storm surge risk for 157-11 Rockaway Beach Blvd, Queens?",
+    "status": "PASS",
+    "wall_clock_s": 1.58,
+    "intent_returned": "single_address",
+    "mellea_passed": "0/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "prithvi_live",
+      "terramind",
+      "rag"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q027",
+    "query": "Hunts Point, Bronx",
+    "status": "PASS",
+    "wall_clock_s": 5.34,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q028",
+    "query": "Is 160 Conover Street in Red Hook still considered a flood zone?",
+    "status": "PASS",
+    "wall_clock_s": 8.96,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q029",
+    "query": "Compare 160 Conover Street Red Hook to 300 Flatbush Avenue Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 16.11,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea",
+      "mta"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q030",
+    "query": "What are the flood risks for the Two Bridges neighborhood in Manhattan?",
+    "status": "PASS",
+    "wall_clock_s": 4.89,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q031",
+    "query": "Is there any construction or development activity at 640 Columbia Street in Red Hook?",
+    "status": "PASS",
+    "wall_clock_s": 11.82,
+    "intent_returned": "development_check",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q032",
+    "query": "What's the flood exposure at 30-30 Thomson Avenue, Long Island City, Queens?",
+    "status": "PASS",
+    "wall_clock_s": 8.9,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q033",
+    "query": "Compare Long Island City Queens to Astoria Queens for flood risk",
+    "status": "PASS",
+    "wall_clock_s": 15.54,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q034",
+    "query": "Is 55 Water Street Manhattan at risk from sea level rise and storm surge?",
+    "status": "PASS",
+    "wall_clock_s": 13.69,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q035",
+    "query": "What new buildings are going up in Gowanus and are they being built to handle flooding?",
+    "status": "PASS",
+    "wall_clock_s": 10.71,
+    "intent_returned": "development_check",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q036",
+    "query": "Greenpoint, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 7.83,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q037",
+    "query": "How at risk is 111 8th Avenue Manhattan from a 100-year storm?",
+    "status": "PASS",
+    "wall_clock_s": 12.67,
+    "intent_returned": "single_address",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q038",
+    "query": "Compare 157-11 Rockaway Beach Blvd Queens to 100 Gold Street Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 15.15,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea",
+      "mta"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q039",
+    "query": "What's going on with the development at 421 Kent Avenue Williamsburg and how flood-safe is it?",
+    "status": "PASS",
+    "wall_clock_s": 10.71,
+    "intent_returned": "development_check",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q040",
+    "query": "Stapleton, Staten Island",
+    "status": "PASS",
+    "wall_clock_s": 5.18,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q041",
+    "query": "Is 110 Livingston Street Brooklyn in a flood zone?",
+    "status": "PASS",
+    "wall_clock_s": 14.69,
+    "intent_returned": "single_address",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q042",
+    "query": "Compare Mott Haven Bronx to Hunts Point Bronx for flood risk and 311 complaints",
+    "status": "PASS",
+    "wall_clock_s": 27.98,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 3,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind",
+      "mta"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q043",
+    "query": "What's the flood risk at 325 Hudson Street, Manhattan?",
+    "status": "PASS",
+    "wall_clock_s": 14.43,
+    "intent_returned": "single_address",
+    "mellea_passed": "2/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q044",
+    "query": "Is anything being developed at 601 West 26th Street Manhattan and what's the flood exposure?",
+    "status": "PASS",
+    "wall_clock_s": 11.52,
+    "intent_returned": "development_check",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q045",
+    "query": "East New York, Brooklyn",
+    "status": "PASS",
+    "wall_clock_s": 7.03,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q046",
+    "query": "What's the flood situation at 40 Rector Street Manhattan? I'm evaluating office space there.",
+    "status": "PASS",
+    "wall_clock_s": 13.87,
+    "intent_returned": "single_address",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q047",
+    "query": "Compare 40 Rector Street Manhattan to 345 East 94th Street Manhattan",
+    "status": "PASS",
+    "wall_clock_s": 20.68,
+    "intent_returned": "compare",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 1,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "mta",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  },
+  {
+    "id": "q048",
+    "query": "Is there any new development at 280 Richards Street Red Hook and how is it handling the flood risk?",
+    "status": "PASS",
+    "wall_clock_s": 10.58,
+    "intent_returned": "development_check",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q049",
+    "query": "Astoria, Queens",
+    "status": "PASS",
+    "wall_clock_s": 6.51,
+    "intent_returned": "neighborhood",
+    "mellea_passed": "4/4",
+    "mellea_rerolls": 0,
+    "stones_fired": [],
+    "stones_errored": [],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": null,
+    "error": null
+  },
+  {
+    "id": "q050",
+    "query": "Compare Tottenville Staten Island to South Beach Staten Island for flood exposure",
+    "status": "PASS",
+    "wall_clock_s": 16.09,
+    "intent_returned": "compare",
+    "mellea_passed": "3/4",
+    "mellea_rerolls": 2,
+    "stones_fired": [
+      "sandy",
+      "dep",
+      "floodnet",
+      "311",
+      "noaa",
+      "nws",
+      "ttm",
+      "microtopo",
+      "ida",
+      "prithvi_v2",
+      "rag",
+      "gliner",
+      "mellea"
+    ],
+    "stones_errored": [
+      "floodnet",
+      "mta",
+      "prithvi_live",
+      "terramind"
+    ],
+    "stones_silent": [],
+    "citations_resolved": null,
+    "compare_targets": 2,
+    "error": null
+  }
+]

tests/queries_50.json

@@ -0,0 +1,788 @@
+[
+  {
+    "id": "q001",
+    "query": "I'm thinking about renting an apartment at 80 Pioneer Street, Brooklyn. Should I worry?",
+    "intent": "address",
+    "persona": "Renter evaluating a move to Red Hook \u2014 canonical Sandy turf",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "dep_stormwater",
+      "nyc311",
+      "floodnet",
+      "noaa_tides",
+      "microtopo_lidar",
+      "ida_hwm_2021",
+      "ttm_forecast",
+      "prithvi_eo_v2",
+      "gliner_extract"
+    ],
+    "expected_silent": [
+      "prithvi_eo_live"
+    ],
+    "fragility_notes": "Cleanest result in suite, 0 rerolls historically. Geocoder resolves to Red Hook every time.",
+    "verified": true
+  },
+  {
+    "id": "q002",
+    "query": "Hollis, Queens",
+    "intent": "neighborhood",
+    "persona": "NYC OEM/DEP capital planner looking at sewer backlog by NTA",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [
+      "prithvi_eo_live",
+      "prithvi_eo_v2"
+    ],
+    "fragility_notes": "Bare NTA name \u2014 relies on planner routing neighborhood correctly. Stable across all probe runs.",
+    "verified": true
+  },
+  {
+    "id": "q003",
+    "query": "Compare 80 Pioneer Street Brooklyn to 100 Gold Street Manhattan",
+    "intent": "compare",
+    "persona": "Real-estate attorney comparing a Sandy-zone lease to a lower-risk mid-Manhattan address",
+    "borough": "multi",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "microtopo_lidar",
+      "ida_hwm_2021"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Verified stable post-bugfix. Planner must parse two addresses. If returns single_address, PLACE B is dropped.",
+    "verified": true
+  },
+  {
+    "id": "q004",
+    "query": "442 East Houston Street, Manhattan",
+    "intent": "address",
+    "persona": "NYC DOE facilities planner evaluating PS 188 LES flood exposure",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "noaa_tides",
+      "microtopo_lidar",
+      "gliner_extract"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "2 rerolls historically on live Space \u2014 acceptable for secondary demo, risky as opener.",
+    "verified": true
+  },
+  {
+    "id": "q005",
+    "query": "100 Gold Street, Manhattan",
+    "intent": "address",
+    "persona": "Insurance underwriter checking flood exposure for a Financial District property",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "noaa_tides"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Outside Sandy 2012 zone \u2014 negative control. Ida HWM 3.47 km away.",
+    "verified": true
+  },
+  {
+    "id": "q006",
+    "query": "Coney Island, Brooklyn",
+    "intent": "neighborhood",
+    "persona": "Community board member tracking coastal resilience investments",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "87.5% of NTA inside Sandy 2012 extent. 4/4 0 rerolls on live Space.",
+    "verified": true
+  },
+  {
+    "id": "q007",
+    "query": "2940 Brighton 3rd St, Brooklyn",
+    "intent": "address",
+    "persona": "Resident in a flood-prone coastal area checking risk before lease renewal",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "floodnet",
+      "noaa_tides",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Brighton Beach \u2014 Sandy inundation zone. Used as brighton fixture in integration tests.",
+    "verified": true
+  },
+  {
+    "id": "q008",
+    "query": "Red Hook, Brooklyn",
+    "intent": "neighborhood",
+    "persona": "Civil engineer evaluating stormwater drainage upgrade priorities",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Heavy Sandy history. Neighborhood intent; 8-9 step FSM.",
+    "verified": true
+  },
+  {
+    "id": "q009",
+    "query": "What's the flood risk for 345 East 94th Street, Manhattan?",
+    "intent": "address",
+    "persona": "NYCHA asset manager assessing high-rise exposure on the Upper East Side",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "noaa_tides"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Upper East Side \u2014 lower Sandy exposure. Should return modest risk profile.",
+    "verified": true
+  },
+  {
+    "id": "q010",
+    "query": "Is 1 MetroTech Center in Brooklyn at risk during major storms?",
+    "intent": "address",
+    "persona": "MTA infrastructure planner evaluating transit hub flood resilience",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "noaa_tides",
+      "sandy_inundation"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Downtown Brooklyn \u2014 partial Sandy exposure depending on exact geocode.",
+    "verified": true
+  },
+  {
+    "id": "q011",
+    "query": "Howard Beach, Queens",
+    "intent": "neighborhood",
+    "persona": "HUD CDBG-DR grant writer documenting unmet need in a Sandy-affected NTA",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Howard Beach was severely flooded in Sandy 2012. NTA-level specialists surface strong signal.",
+    "verified": true
+  },
+  {
+    "id": "q012",
+    "query": "Canarsie, Brooklyn",
+    "intent": "neighborhood",
+    "persona": "Journalist covering FEMA FIRMette map updates post-Sandy",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Canarsie was inundated in Sandy. Strong neighborhood-level flood signal expected.",
+    "verified": true
+  },
+  {
+    "id": "q013",
+    "query": "Compare Canarsie Brooklyn to Park Slope Brooklyn",
+    "intent": "compare",
+    "persona": "Real estate developer comparing coastal vs inland Brooklyn sites for climate resilience",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Both Brooklyn neighborhoods but very different flood profiles. Strong expected delta.",
+    "verified": true
+  },
+  {
+    "id": "q014",
+    "query": "Should I worry about flooding at 520 West 145th Street in Manhattan?",
+    "intent": "address",
+    "persona": "Resident in Washington Heights evaluating apartment flood risk",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "noaa_tides"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Washington Heights \u2014 far from Sandy zone. Low risk expected.",
+    "verified": true
+  },
+  {
+    "id": "q015",
+    "query": "Mott Haven, Bronx",
+    "intent": "neighborhood",
+    "persona": "Community board member tracking 311 flood complaints in a low-income NTA",
+    "borough": "Bronx",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Mott Haven is near the Harlem River and has chronic flooding complaints.",
+    "verified": true
+  },
+  {
+    "id": "q016",
+    "query": "What was the flood situation at 750 Baychester Avenue, Bronx during Ida?",
+    "intent": "address",
+    "persona": "Civil engineer evaluating Ida HWM data near a USGS gauge site",
+    "borough": "Bronx",
+    "expected_specialists": [
+      "ida_hwm_2021",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Ida HWM should fire \u2014 Bronx near Hutchinson River had gauge hits. Ida specialist exercises.",
+    "verified": true
+  },
+  {
+    "id": "q017",
+    "query": "Is the NYCHA Gowanus Houses at risk from sea level rise?",
+    "intent": "address",
+    "persona": "NYCHA asset manager assessing long-term sea level risk for a large development",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "dep_stormwater",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Gowanus Houses \u2014 Sandy zone, known flood risk. Should surface NYCHA development context.",
+    "verified": true
+  },
+  {
+    "id": "q018",
+    "query": "Compare 750 Baychester Avenue Bronx to 150 Riverside Drive Manhattan",
+    "intent": "compare",
+    "persona": "Insurance underwriter comparing two river-adjacent properties",
+    "borough": "multi",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Cross-borough compare. Baychester near Hutchinson River; Riverside Drive near Hudson. Both riverine.",
+    "verified": true
+  },
+  {
+    "id": "q019",
+    "query": "Tottenville, Staten Island",
+    "intent": "neighborhood",
+    "persona": "NYC OEM planner evaluating Staten Island's most flood-exposed southern tip",
+    "borough": "Staten Island",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Tottenville was among the hardest hit areas in Sandy. Strong NTA-level signal expected.",
+    "verified": true
+  },
+  {
+    "id": "q020",
+    "query": "What's the flood risk at 151 West 34th Street, Manhattan? It's near Penn Station.",
+    "intent": "address",
+    "persona": "MTA infrastructure planner evaluating subway entrance flood exposure near Penn Station",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "noaa_tides"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Midtown Manhattan \u2014 outside Sandy zone. MTA subway entrance exposure specialist should fire.",
+    "verified": true
+  },
+  {
+    "id": "q021",
+    "query": "Compare Red Hook Brooklyn to the Financial District Manhattan for flood risk",
+    "intent": "compare",
+    "persona": "Journalist writing a before/after story on Sandy's unequal recovery",
+    "borough": "multi",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Strong expected delta \u2014 Red Hook was deeply flooded, FiDi has mixed exposure. Cross-borough compare.",
+    "verified": true
+  },
+  {
+    "id": "q022",
+    "query": "Is 595 Dean Street in Brooklyn at risk of flooding?",
+    "intent": "address",
+    "persona": "Real estate developer evaluating a new Prospect Heights / Gowanus site",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "dep_stormwater",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Near Gowanus Canal drainage area. DEP stormwater and 311 should fire.",
+    "verified": true
+  },
+  {
+    "id": "q023",
+    "query": "South Beach, Staten Island",
+    "intent": "neighborhood",
+    "persona": "HUD CDBG-DR grant writer for a Staten Island Sandy recovery project",
+    "borough": "Staten Island",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "South Beach was heavily impacted by Sandy. Strong 311 and DEP signal expected.",
+    "verified": true
+  },
+  {
+    "id": "q024",
+    "query": "How exposed is 1 Fulton Street Manhattan to surge from a major hurricane?",
+    "intent": "address",
+    "persona": "Hospital facility manager evaluating evacuation route risk for a Lower Manhattan location",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "sandy_inundation",
+      "noaa_tides",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Fulton Street FiDi \u2014 near Sandy zone boundary. NOAA tide gauge should fire (East River gauge).",
+    "verified": true
+  },
+  {
+    "id": "q025",
+    "query": "Compare Howard Beach Queens to Forest Hills Queens for flood risk",
+    "intent": "compare",
+    "persona": "NYC OEM planner comparing coastal vs inland Queens neighborhoods",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Strong expected delta \u2014 Howard Beach coastal vs Forest Hills upland. Same-borough neighborhood compare.",
+    "verified": true
+  },
+  {
+    "id": "q026",
+    "query": "What's the storm surge risk for 157-11 Rockaway Beach Blvd, Queens?",
+    "intent": "address",
+    "persona": "Resident in Far Rockaway evaluating whether to elevate their home",
+    "borough": "Queens",
+    "expected_specialists": [
+      "sandy_inundation",
+      "noaa_tides",
+      "floodnet",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Far Rockaway was devastated in Sandy. High probability of all coastal specialists firing.",
+    "verified": true
+  },
+  {
+    "id": "q027",
+    "query": "Hunts Point, Bronx",
+    "intent": "neighborhood",
+    "persona": "Civil engineer assessing combined sewer overflow and flood risk in a food distribution hub",
+    "borough": "Bronx",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Hunts Point is low-lying and near the East River. Strong stormwater and 311 signal.",
+    "verified": true
+  },
+  {
+    "id": "q028",
+    "query": "Is 160 Conover Street in Red Hook still considered a flood zone?",
+    "intent": "address",
+    "persona": "Renter who lived through Sandy 2012 now returning to Red Hook",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "dep_stormwater",
+      "nyc311",
+      "microtopo_lidar",
+      "ida_hwm_2021"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Deep Red Hook \u2014 within Sandy zone. Ida HWM nearby. Clean single_address intent expected.",
+    "verified": true
+  },
+  {
+    "id": "q029",
+    "query": "Compare 160 Conover Street Red Hook to 300 Flatbush Avenue Brooklyn",
+    "intent": "compare",
+    "persona": "Property insurance underwriter comparing two Brooklyn addresses for flood premium",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Sandy-zone vs non-Sandy-zone within Brooklyn. Clear expected delta on Sandy field.",
+    "verified": true
+  },
+  {
+    "id": "q030",
+    "query": "What are the flood risks for the Two Bridges neighborhood in Manhattan?",
+    "intent": "neighborhood",
+    "persona": "HUD CDBG-DR grant writer documenting need in a Sandy-affected LES neighborhood",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Two Bridges NTA \u2014 lower Manhattan near East River. Sandy signal expected.",
+    "verified": true
+  },
+  {
+    "id": "q031",
+    "query": "Is there any construction or development activity at 640 Columbia Street in Red Hook?",
+    "intent": "planner",
+    "persona": "Community board member tracking post-Sandy redevelopment in Red Hook",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Development check intent. DOB filings + flood context. Planner should route development_check.",
+    "verified": true
+  },
+  {
+    "id": "q032",
+    "query": "What's the flood exposure at 30-30 Thomson Avenue, Long Island City, Queens?",
+    "intent": "address",
+    "persona": "Real estate developer evaluating an LIC industrial-to-residential conversion",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Long Island City is near Newtown Creek and the East River. Moderate flood exposure expected.",
+    "verified": true
+  },
+  {
+    "id": "q033",
+    "query": "Compare Long Island City Queens to Astoria Queens for flood risk",
+    "intent": "compare",
+    "persona": "NYC DOT planner comparing two Queens waterfront neighborhoods for infrastructure investment",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Same-borough neighborhood compare. Both near East River but different profiles.",
+    "verified": true
+  },
+  {
+    "id": "q034",
+    "query": "Is 55 Water Street Manhattan at risk from sea level rise and storm surge?",
+    "intent": "address",
+    "persona": "Hospital administrator at a large Lower Manhattan health system assessing long-term resilience",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "sandy_inundation",
+      "noaa_tides",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "55 Water Street FiDi \u2014 near East River. Sandy zone boundary. NOAA tide gauge should fire.",
+    "verified": true
+  },
+  {
+    "id": "q035",
+    "query": "What new buildings are going up in Gowanus and are they being built to handle flooding?",
+    "intent": "planner",
+    "persona": "Journalist investigating whether post-rezoning Gowanus development meets flood standards",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "dep_stormwater",
+      "nyc311"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Development check intent. Gowanus rezoning context. DOB filings should surface.",
+    "verified": true
+  },
+  {
+    "id": "q036",
+    "query": "Greenpoint, Brooklyn",
+    "intent": "neighborhood",
+    "persona": "Civil engineer assessing Newtown Creek flooding and combined sewer overflow risk",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Greenpoint near Newtown Creek. DEP and 311 stormwater signal expected.",
+    "verified": true
+  },
+  {
+    "id": "q037",
+    "query": "How at risk is 111 8th Avenue Manhattan from a 100-year storm?",
+    "intent": "address",
+    "persona": "Insurance underwriter evaluating a large Chelsea tech campus for flood coverage",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Chelsea inland address. Low Sandy exposure. DEP stormwater may flag sewer backup risk.",
+    "verified": true
+  },
+  {
+    "id": "q038",
+    "query": "Compare 157-11 Rockaway Beach Blvd Queens to 100 Gold Street Manhattan",
+    "intent": "compare",
+    "persona": "FEMA insurance analyst comparing a high-risk coastal address to a low-risk Manhattan baseline",
+    "borough": "multi",
+    "expected_specialists": [
+      "sandy_inundation",
+      "noaa_tides",
+      "nyc311"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Cross-borough, maximum expected delta. Far Rockaway vs FiDi. Strong Sandy signal for Rockaway.",
+    "verified": true
+  },
+  {
+    "id": "q039",
+    "query": "What's going on with the development at 421 Kent Avenue Williamsburg and how flood-safe is it?",
+    "intent": "planner",
+    "persona": "Real estate developer doing due diligence on a Williamsburg waterfront project",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "dep_stormwater",
+      "nyc311"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Development check + flood context at Williamsburg waterfront. DOB and flood specialists.",
+    "verified": true
+  },
+  {
+    "id": "q040",
+    "query": "Stapleton, Staten Island",
+    "intent": "neighborhood",
+    "persona": "NYC OEM planner reviewing the SIRR resilience report findings for North Shore Staten Island",
+    "borough": "Staten Island",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Stapleton is on the North Shore of Staten Island \u2014 Sandy-affected area.",
+    "verified": true
+  },
+  {
+    "id": "q041",
+    "query": "Is 110 Livingston Street Brooklyn in a flood zone?",
+    "intent": "address",
+    "persona": "NYC DOE facilities planner evaluating the NYC DOE headquarters building",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "sandy_inundation"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Downtown Brooklyn near Fulton Mall. Moderate Sandy exposure.",
+    "verified": true
+  },
+  {
+    "id": "q042",
+    "query": "Compare Mott Haven Bronx to Hunts Point Bronx for flood risk and 311 complaints",
+    "intent": "compare",
+    "persona": "NYC DOT infrastructure planner prioritizing drainage upgrades in the South Bronx",
+    "borough": "Bronx",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Same-borough NTA compare in South Bronx. Both low-lying near waterways.",
+    "verified": true
+  },
+  {
+    "id": "q043",
+    "query": "What's the flood risk at 325 Hudson Street, Manhattan?",
+    "intent": "address",
+    "persona": "Real estate developer evaluating a Hudson Square office conversion",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [
+      "sandy_inundation"
+    ],
+    "fragility_notes": "Hudson Square \u2014 near the Hudson River but likely outside Sandy zone. Moderate risk.",
+    "verified": true
+  },
+  {
+    "id": "q044",
+    "query": "Is anything being developed at 601 West 26th Street Manhattan and what's the flood exposure?",
+    "intent": "planner",
+    "persona": "NYC DOT planner evaluating Chelsea Piers area development near the Hudson River",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "nyc311",
+      "microtopo_lidar",
+      "dep_stormwater"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Development check near Hudson River. DOB filings + flood context.",
+    "verified": true
+  },
+  {
+    "id": "q045",
+    "query": "East New York, Brooklyn",
+    "intent": "neighborhood",
+    "persona": "HUD CDBG-DR grant writer assessing flood exposure in a low-income Brooklyn NTA",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "East New York is inland but has chronic stormwater complaints. DEP and 311 should fire.",
+    "verified": true
+  },
+  {
+    "id": "q046",
+    "query": "What's the flood situation at 40 Rector Street Manhattan? I'm evaluating office space there.",
+    "intent": "address",
+    "persona": "Commercial tenant evaluating Lower Manhattan office flood risk post-Sandy",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "sandy_inundation",
+      "noaa_tides",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "40 Rector Street FiDi \u2014 near battery park, likely in Sandy zone. NOAA and Sandy should fire.",
+    "verified": true
+  },
+  {
+    "id": "q047",
+    "query": "Compare 40 Rector Street Manhattan to 345 East 94th Street Manhattan",
+    "intent": "compare",
+    "persona": "Corporate real estate manager comparing two Manhattan office options for flood resilience",
+    "borough": "Manhattan",
+    "expected_specialists": [
+      "sandy_inundation",
+      "nyc311",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Within-borough Manhattan compare. Strong delta: Lower Manhattan vs Upper East Side.",
+    "verified": true
+  },
+  {
+    "id": "q048",
+    "query": "Is there any new development at 280 Richards Street Red Hook and how is it handling the flood risk?",
+    "intent": "planner",
+    "persona": "Community board member tracking post-Sandy redevelopment permits in Red Hook",
+    "borough": "Brooklyn",
+    "expected_specialists": [
+      "sandy_inundation",
+      "dep_stormwater",
+      "nyc311"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Red Hook development check. Sandy zone context. DOB filings + flood specialists.",
+    "verified": true
+  },
+  {
+    "id": "q049",
+    "query": "Astoria, Queens",
+    "intent": "neighborhood",
+    "persona": "NYC DOT planner assessing stormwater infrastructure needs in a growing Queens neighborhood",
+    "borough": "Queens",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Astoria near East River. Moderate flood exposure. DEP and 311 should fire.",
+    "verified": true
+  },
+  {
+    "id": "q050",
+    "query": "Compare Tottenville Staten Island to South Beach Staten Island for flood exposure",
+    "intent": "compare",
+    "persona": "NYC OEM planner prioritizing Staten Island coastal resilience investments",
+    "borough": "Staten Island",
+    "expected_specialists": [
+      "nyc311",
+      "dep_stormwater",
+      "microtopo_lidar"
+    ],
+    "expected_silent": [],
+    "fragility_notes": "Both Staten Island coastal neighborhoods \u2014 Sandy-exposed. Same-island compare.",
+    "verified": true
+  }
+]

tests/test_integration.py

@@ -38,6 +38,12 @@ from dataclasses import dataclass
 import pytest
 
 BASE = os.environ.get("RIPRAP_TEST_BASE", "http://127.0.0.1:7860")
+# Heavy specialists (prithvi_live, terramind) are only added to the FSM
+# when RIPRAP_HEAVY_SPECIALISTS=1 or RIPRAP_ML_BASE_URL is set.  Tests
+# that assert these steps fired must skip when the gate is off.
+_HEAVY_SPECIALISTS = os.environ.get("RIPRAP_HEAVY_SPECIALISTS", "").lower() in (
+    "1", "true", "yes"
+) or bool(os.environ.get("RIPRAP_ML_BASE_URL", "").strip())
 TIMEOUT_S = float(os.environ.get("RIPRAP_TEST_TIMEOUT", "300"))
 
 
@@ -106,7 +112,9 @@ ADDRESSES = [
 ]
 
 
-# Steps every linear single_address run must hit, regardless of intent
+# Steps every linear single_address run must hit, regardless of intent.
+# prithvi_eo_live is only in the FSM when _HEAVY_SPECIALISTS is True,
+# so it's excluded from this list and tested separately.
 EXPECTED_STEPS = [
     "geocode",
     "sandy_inundation",
@@ -120,7 +128,6 @@ EXPECTED_STEPS = [
     "microtopo_lidar",
     "ida_hwm_2021",
     "prithvi_eo_v2",
-    "prithvi_eo_live",         # Phase 1 integration
     "rag_granite_embedding",
     "gliner_extract",          # Phase 2 integration
     # reconcile step name varies by strict mode; not asserted here
@@ -226,6 +233,8 @@ def test_phase1_prithvi_live_step(streamed: StreamResult):
     — only that the step ran and recorded its outcome."""
     if streamed.plan and streamed.plan.get("intent") != "single_address":
         pytest.skip("non-linear FSM")
+    if not _HEAVY_SPECIALISTS:
+        pytest.skip("RIPRAP_HEAVY_SPECIALISTS not enabled — prithvi_eo_live not in FSM")
     found = [e for e in streamed.events
              if e[0] == "step" and e[1].get("step") == "prithvi_eo_live"]
     assert found, "step_prithvi_live did not fire"

web/main.py

@@ -147,9 +147,9 @@ def _warm_caches():
     if os.environ.get("RIPRAP_NYCHA_REGISTERS", "0").lower() in ("1", "true", "yes"):
         print("[startup] pre-warming NYCHA registers (may take 60–120 s)...", flush=True)
         try:
-            from app.registers import nycha as _r_nycha
             from app.registers import doe_schools as _r_schools
             from app.registers import doh_hospitals as _r_hospitals
+            from app.registers import nycha as _r_nycha
             _r_nycha._load_nycha()
             _r_nycha._load_sandy_2263()
             _r_schools._load_schools()
@@ -509,8 +509,8 @@ def _run_compare(p, raw_query: str, out_q, i_addr) -> dict:
     Step events from each target are forwarded to out_q tagged with a
     `target_label` key so the trace UI can optionally group them, but the
     existing trace UI ignores unknown keys gracefully."""
-    from app.planner import Plan
     from app.intents import neighborhood as i_nbhd
+    from app.planner import Plan
 
     addr_targets = [t for t in p.targets if t.get("type") in ("address", "nta")]
     if len(addr_targets) < 2:

web/sveltekit/build/200.html

@@ -6,17 +6,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="/_app/immutable/entry/start.CNQZC3fg.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/sQImrWTX.js" rel="modulepreload">
+    <link href="/_app/immutable/entry/start.BkS8JQ5_.js" rel="modulepreload">
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-		<link href="/_app/immutable/entry/app.C_JcOYY7.js" rel="modulepreload">
+		<link href="/_app/immutable/entry/app.DtHxgVfE.js" rel="modulepreload">
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-		<link href="/_app/immutable/nodes/0.CRsWI93d.js" rel="modulepreload">
+		<link href="/_app/immutable/nodes/0.LAFF30Kg.js" rel="modulepreload">
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+		<link href="/_app/immutable/chunks/BbRPgcjS.js" rel="modulepreload">
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@@ -28,15 +28,15 @@
     <div style="display: contents">
 			<script>
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-					__sveltekit_1072qog = {
+					__sveltekit_8j9bml = {
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-						import("/_app/immutable/entry/start.CNQZC3fg.js"),
-						import("/_app/immutable/entry/app.C_JcOYY7.js")
+						import("/_app/immutable/entry/start.BkS8JQ5_.js"),
+						import("/_app/immutable/entry/app.DtHxgVfE.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element);
 					});

web/sveltekit/build/_app/immutable/assets/4.C9CQZyPb.css

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web/sveltekit/build/_app/immutable/entry/app.DtHxgVfE.js

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web/sveltekit/build/_app/immutable/entry/start.BkS8JQ5_.js

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web/sveltekit/build/_app/immutable/nodes/0.LAFF30Kg.js

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class="app-footer-guard"><strong>Riprap does not predict damage.</strong> This tool is for professional analytical work, not personal property decisions.
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web/sveltekit/build/_app/immutable/nodes/1.MkU5tCTk.js

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+import{a as c,f as u,s as e}from"../chunks/CWw6qgC_.js";import{p as v,f as l,t as _,a as g,c as p,r as o,s as x}from"../chunks/BTUA7_xE.js";import{p as m}from"../chunks/BbRPgcjS.js";var d=u("<h1> </h1> <p> </p>",1);function k(f,i){v(i,!0);var t=d(),r=l(t),h=p(r,!0);o(r);var a=x(r,2),n=p(a,!0);o(a),_(()=>{var s;e(h,m.status),e(n,(s=m.error)==null?void 0:s.message)}),c(f,t),g()}export{k as component};

web/sveltekit/build/_app/immutable/nodes/2.vc91Ib0z.js

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+import{a as m,f as w,d as D,l as I,e as G,s as g}from"../chunks/CWw6qgC_.js";import"../chunks/DixtWtwq.js";import{b9 as U,y as S,ar as K,$ as R,_ as V,h as Q,Y as Z,aq as J,am as E,ba as q,bb as X,o as d,bc as ee,af as ae,c,aR as k,r as o,p as P,a5 as N,a as M,a4 as A,s as f,t as T,ai as se,Z as te,ak as re}from"../chunks/BTUA7_xE.js";import{h as ne}from"../chunks/cDW0xQNP.js";import{R as le}from"../chunks/DCD6_LXk.js";import{e as $}from"../chunks/25_y8TFd.js";import{r as ie,a as oe,s as de,b as ce}from"../chunks/B0XoTt7U.js";import{g as B}from"../chunks/BgqmyNr8.js";import{b as ve,_ as pe}from"../chunks/CXQd8Y6F.js";import{P as fe}from"../chunks/D907np-5.js";function ue(e,s,r=s){var t=new WeakSet;U(e,"input",async a=>{var n=a?e.defaultValue:e.value;if(n=L(e)?C(n):n,r(n),S!==null&&t.add(S),await K(),n!==(n=s())){var u=e.selectionStart,l=e.selectionEnd,v=e.value.length;if(e.value=n??"",l!==null){var i=e.value.length;u===l&&l===v&&i>v?(e.selectionStart=i,e.selectionEnd=i):(e.selectionStart=u,e.selectionEnd=Math.min(l,i))}}}),(Q&&e.defaultValue!==e.value||R(s)==null&&e.value)&&(r(L(e)?C(e.value):e.value),S!==null&&t.add(S)),V(()=>{var a=s();if(e===document.activeElement){var n=S;if(t.has(n))return}L(e)&&a===C(e.value)||e.type==="date"&&!a&&!e.value||a!==e.value&&(e.value=a??"")})}function L(e){var s=e.type;return s==="number"||s==="range"}function C(e){return e===""?null:+e}function me(e=!1){const s=Z,r=s.l.u;if(!r)return;let t=()=>ee(s.s);if(e){let a=0,n={};const u=ae(()=>{let l=!1;const v=s.s;for(const i in v)v[i]!==n[i]&&(n[i]=v[i],l=!0);return l&&a++,a});t=()=>d(u)}r.b.length&&J(()=>{H(s,t),q(r.b)}),E(()=>{const a=R(()=>r.m.map(X));return()=>{for(const n of a)typeof n=="function"&&n()}}),r.a.length&&E(()=>{H(s,t),q(r.a)})}function H(e,s){if(e.l.s)for(const r of e.l.s)d(r);s()}var we=w('<header class="land-header svelte-1ct2rgk"><span class="riprap-wordmark"><!>riprap</span> <span class="land-header-sep svelte-1ct2rgk">/</span> <span class="land-header-context svelte-1ct2rgk">Flood Exposure Briefing · NYC</span> <nav class="land-header-nav svelte-1ct2rgk"><a href="#methodology" class="svelte-1ct2rgk">Methodology</a> <a href="#sources" class="svelte-1ct2rgk">Sources</a></nav></header>');function he(e){var s=we(),r=c(s),t=c(r);le(t,{size:22}),k(),o(r),k(6),o(s),m(e,s)}var ye=w("<span> </span>"),ge=w('<main class="land-hero svelte-drzq4r"><h1 class="land-hero-h1 svelte-drzq4r"><span class="land-hero-headline svelte-drzq4r">A flood exposure briefing<br/> for <em class="svelte-drzq4r">any place</em> in New York City.</span> <span class="land-hero-deck svelte-drzq4r">Type an address. Get a written briefing where every numeric claim links to its primary public-record source.</span></h1> <form class="land-query svelte-drzq4r" role="search"><span class="land-query-prompt svelte-drzq4r" aria-hidden="true">›</span> <input type="text" placeholder="Address, neighborhood, or BBL. e.g. 80 Pioneer Street, Red Hook" class="land-query-input svelte-drzq4r" aria-label="Query an address, neighborhood, or BBL"/> <button type="submit" class="land-query-submit svelte-drzq4r">Brief this place →</button></form> <div class="land-cycling svelte-drzq4r" aria-live="polite"><span class="land-cycling-label svelte-drzq4r">Try:</span> <button type="button" class="land-cycling-rail svelte-drzq4r" title="Run this example"></button></div></main>');function je(e,s){P(s,!0);const r=["80 Pioneer Street, Red Hook","Coney Island Hospital","PS 188, Lower East Side","Hammels Houses, Rockaway","Bowling Green station","555 W 57th Street"];let t=A(""),a=A(0);E(()=>{if(typeof window>"u")return;const p=setInterval(()=>{N(a,(d(a)+1)%r.length)},2200);return()=>clearInterval(p)});function n(){const p=d(t).trim();p&&B(`/q/${encodeURIComponent(p)}`)}function u(){const p=r[d(a)];B(`/q/${encodeURIComponent(p)}`)}var l=ge(),v=f(c(l),2),i=f(c(v),2);ie(i),k(2),o(v);var j=f(v,2),y=f(c(j),2);$(y,22,()=>r,p=>p,(p,b,F)=>{var h=ye();let x;var _=c(h,!0);o(h),T(()=>{x=oe(h,1,"land-cycling-item svelte-drzq4r",null,x,{"is-active":d(F)===d(a)}),de(h,"aria-hidden",d(F)!==d(a)),g(_,b)}),m(p,h)}),o(y),o(j),o(l),I("submit",v,p=>{p.preventDefault(),n()}),ue(i,()=>d(t),p=>N(t,p)),G("click",y,u),m(e,l),M()}D(["click"]);var be=w('<div class="land-mapmini svelte-1g1r73s" role="img" aria-label="Live mini-map preview of Red Hook flood exposure layers"><div class="land-mapmini-canvas svelte-1g1r73s"></div> <div class="land-mapmini-legend svelte-1g1r73s"><span class="svelte-1g1r73s"><span class="lm-sw lm-sw-emp svelte-1g1r73s"></span>empirical</span> <span class="svelte-1g1r73s"><span class="lm-sw lm-sw-mod svelte-1g1r73s"></span>modeled</span> <span class="svelte-1g1r73s"><span class="lm-sw lm-sw-prx svelte-1g1r73s"></span>proxy</span></div></div>');function _e(e,s){P(s,!0);const r=[-74.0096,40.6776];let t=A(null),a=null;se(()=>{let l=!1;return(async()=>{if(!d(t)||l)return;const v=await pe(()=>import("../chunks/D4L2lGt1.js").then(i=>i.m),[],import.meta.url);l||!d(t)||(a=new 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n=be(),u=c(n);ve(u,l=>N(t,l),()=>d(t)),k(2),o(n),m(e,n),M()}var Se=w(`<section class="land-section svelte-1anw2jf"><div class="land-section-head svelte-1anw2jf"><span class="section-label">What you'll get back</span> <span class="land-section-meta svelte-1anw2jf">A grounded paragraph with citations, not a chatbot answer.</span></div> <div class="land-preview-grid svelte-1anw2jf"><div class="land-preview-pane land-preview-pane-excerpt svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Briefing excerpt</div> <p class="land-preview-body svelte-1anw2jf">The lot sits inside the FEMA <span class="land-preview-cite svelte-1anw2jf">1% AE flood zone <sup class="svelte-1anw2jf">[c3]</sup></span>,
+        with Sandy high-water marks recorded <span class="land-preview-cite svelte-1anw2jf">4.7 ft above grade <sup class="svelte-1anw2jf">[c1]</sup></span>.
+        FloodNet FN-BK-018 has logged <span class="land-preview-cite svelte-1anw2jf">14 nuisance floods since 2023 <sup class="svelte-1anw2jf">[c2]</sup></span>.</p> <div class="land-preview-cites svelte-1anw2jf"><div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c1]</span> <span class="land-preview-cite-src svelte-1anw2jf">USGS HWM · Sandy 2012</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c2]</span> <span class="land-preview-cite-src svelte-1anw2jf">FloodNet FN-BK-018</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c3]</span> <span class="land-preview-cite-src svelte-1anw2jf">FEMA NFHL · 36047C0207</span> <span class="land-preview-cite-tier svelte-1anw2jf">modeled</span></div></div></div> <div class="land-preview-pane land-preview-pane-cards svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Evidence cards</div> <div class="land-evcard-grid svelte-1anw2jf"><article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e1</span></header> <div class="land-evcard-claim svelte-1anw2jf">4.7 ft Sandy storm-surge HWM at address</div> <div class="land-evcard-source svelte-1anw2jf">USGS High-Water Mark database · 2012</div></article> <article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e2</span></header> <div class="land-evcard-claim svelte-1anw2jf">14 nuisance-flood events, 2023–2026</div> <div class="land-evcard-source svelte-1anw2jf">FloodNet FN-BK-018 · 2 blocks north</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e3</span></header> <div class="land-evcard-claim svelte-1anw2jf">FEMA 1% annual-chance (AE) flood zone</div> <div class="land-evcard-source svelte-1anw2jf">FEMA NFHL · panel 36047C0207</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e5</span></header> <div class="land-evcard-claim svelte-1anw2jf">+30 in MSL by 2070 (NPCC4 high)</div> <div class="land-evcard-source svelte-1anw2jf">NPCC4 SLR projection · 2024</div></article></div></div> <div class="land-preview-pane land-preview-pane-map svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Map</div> <!> <div class="land-preview-mapmeta svelte-1anw2jf">80 Pioneer St, Red Hook · z14.5 · Carto Positron</div></div></div></section>`);function ke(e){var s=Se(),r=f(c(s),2),t=f(c(r),4),a=f(c(t),2);_e(a,{}),k(2),o(t),o(r),o(s),m(e,s)}var Fe=w('<article class="land-stones-detail-cell svelte-1v6nt1t"><div class="land-stones-detail-num svelte-1v6nt1t"> </div> <h3 class="land-stones-detail-name svelte-1v6nt1t"> </h3> <div class="land-stones-detail-role svelte-1v6nt1t"> </div> <p class="land-stones-detail-tag svelte-1v6nt1t"> </p> <div class="land-stones-detail-sources svelte-1v6nt1t"> </div></article>'),xe=w(`<section class="land-section-stones-detail svelte-1v6nt1t" id="methodology"><div class="land-page svelte-1v6nt1t"><div class="land-section-head svelte-1v6nt1t"><span class="section-label">How Riprap reads a place</span> <span class="land-section-meta svelte-1v6nt1t">Five Stones · one taxonomy · every briefing</span></div> <p class="land-stones-deck svelte-1v6nt1t">Each briefing routes through a fixed taxonomy of public-record specialists. Each Stone is a class of evidence.
+      Together they form the briefing, and every claim in the output traces back to the Stone that produced it.</p> <div class="land-stones-detail svelte-1v6nt1t"></div></div></section>`);function Le(e,s){P(s,!1);const r=[{name:"Cornerstone",role:"the hazard reader",tag:"what NYC's ground remembers",sources:"USGS HWMs · FEMA NFHL · DEP stormwater · Prithvi historical",tint:"var(--stone-cornerstone)"},{name:"Keystone",role:"the asset register",tag:"what's exposed",sources:"MTA · NYCHA · DOE · DOH · PLUTO",tint:"var(--stone-keystone)"},{name:"Touchstone",role:"the live observer",tag:"what's happening now",sources:"FloodNet sensors · 311 complaints · NWS · NOAA tide gauges",tint:"var(--stone-touchstone)"},{name:"Lodestone",role:"the projector",tag:"what's coming",sources:"NPCC4 · Granite TTM (zero-shot + NYC fine-tune) · NWS alerts",tint:"var(--stone-lodestone)"},{name:"Capstone",role:"the synthesizer",tag:"writes it all down",sources:"Granite 4.1 composer · Mellea grounding-check · WeasyPrint",tint:"var(--stone-capstone)"}];me();var t=xe(),a=c(t),n=f(c(a),4);$(n,7,()=>r,u=>u.name,(u,l,v)=>{var i=Fe();let j;var y=c(i),p=c(y,!0);o(y);var b=f(y,2),F=c(b,!0);o(b);var h=f(b,2),x=c(h,!0);o(h);var _=f(h,2),O=c(_,!0);o(_);var z=f(_,2),W=c(z,!0);o(z),o(i),T(Y=>{j=ce(i,"",j,{"--stone-tint":d(l).tint}),g(p,Y),g(F,d(l).name),g(x,d(l).role),g(O,d(l).tag),g(W,d(l).sources)},[()=>String(d(v)+1).padStart(2,"0")]),m(u,i)}),o(n),o(a),o(t),m(e,t),M()}var Ce=w('<footer class="land-footer svelte-1dcj612"><span class="land-footer-tiers svelte-1dcj612"><span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-emp svelte-1dcj612"></span>empirical</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-mod svelte-1dcj612"></span>modeled</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-prx svelte-1dcj612"></span>proxy</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-syn svelte-1dcj612"></span>synthetic</span></span> <span class="land-footer-build">Riprap v0.4.6 · NYC OpenData · FEMA NFHL · USGS · NPCC4 · Dam mark by Chintuza, Noun Project (CC-BY)</span></footer>');function Ee(e){var s=Ce();m(e,s)}var Ne=w('<meta name="description" content="A citation-grounded flood-exposure briefing tool for any address, neighborhood, or BBL in New York City."/>'),Ae=w('<div class="land svelte-1uha8ag"><!> <div class="land-page svelte-1uha8ag"><!> <!></div> <!> <!></div>');function We(e){var s=Ae();ne("1uha8ag",v=>{var i=Ne();te(()=>{re.title="Riprap — Flood Exposure Briefing for NYC"}),m(v,i)});var r=c(s);he(r);var t=f(r,2),a=c(t);je(a,{});var n=f(a,2);ke(n),o(t);var u=f(t,2);Le(u,{});var l=f(u,2);Ee(l),o(s),m(e,s)}export{We as component};

web/sveltekit/build/_app/immutable/nodes/3.B7oy3YuI.js

@@ -0,0 +1,7 @@
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+      use <strong>export PDF</strong> from the header to open this view.
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instance",model:"granite-timeseries-ttm-r2",children:[]},x.push(C));const W=[...C.children??[],T],re={...C,ms:(C.ms??0)+w,note:`${W.length} instance${W.length===1?"":"s"}`,children:W};f(y,{...G,children:x.map(Q=>Q.id===me?re:Q)},!0)}else f(y,{...G,children:[...G.children??[],T]},!0)},onAttemptStart:a=>{f(l,a,!0),J.phase="reconciling",J.attempt=a,J.activeStep="granite4.1 + mellea",a>1&&(f(K,n(o),!0),f(o,""),Fe=[])},onToken:a=>{n(A)||(f(A,!0),n(l)===0&&f(l,1),J.phase="streaming",J.attempt=Math.max(1,J.attempt)),f(o,n(o)+a)},onMelleaAttempt:a=>{a.attempt>0&&(f(l,a.attempt,!0),J.attempt=a.attempt)},onFinal:a=>{var w;f(m,a,!0),a.paragraph&&f(o,a.paragraph,!0),f(ee,pr(a),!0);const d=a;f(mt,he(d),!0),f(ft,ge(),!0);const _=d.terramind;if(_!=null&&_.ok&&(_!=null&&_.polygons_geojson)){const v=_.polygons_geojson;(v==null?void 0:v.type)==="FeatureCollection"&&(((w=v.features)==null?void 0:w.length)??0)>0&&f(Ge,v,!0)}const k=a.mellea;k&&k.failed&&k.failed.length>0&&k.attempts&&k.attempts>=p&&f(R,"grounding")},onError:a=>{const d=a.toLowerCase();(d.includes("connection")||d.includes("502")||d.includes("503")||d.includes("timeout")||d.includes("routing"))&&f(R,"backend"),J.markError(a)},onDone:()=>{var a,d,_,k,w;f(b,!0),n(H)!=null&&f(D,(Date.now()-n(H))/1e3),!n(A)&&!n(R)&&n(L)&&f(R,"all-silent"),!n(R)&&n(fe).length>0&&(yn({queryId:n(t),queryText:n(i)(),intent:((a=n(s))==null?void 0:a.intent)??null,specialists:((_=(d=n(s))==null?void 0:d.specialists)==null?void 0:_.length)??0,blocks:n(fe),citations:n(_e),generatedAt:new Date().toISOString(),attempts:((w=(k=n(m))==null?void 0:k.mellea)==null?void 0:w.n_attempts)??n(l)}),J.markReady())}});return()=>c.close()});var Ke=Ir(),kt=g(Ke),Ze=g(kt),Je=g(Ze),Xe=g(Je),Gt=$(g(Xe),2);{var Wt=c=>{var a=vr(),d=g(a),_=$(d);{var k=w=>{var v=rt("· ✓ done");q(w,v)};V(_,w=>{n(b)&&w(k)})}h(a),X(()=>{var w;return Y(d,`intent: ${n(s).intent??""} · ${((w=n(s).specialists)==null?void 0:w.length)??0??""} specialists · attempt ${n(l)??""} `)}),q(c,a)},Vt=c=>{var a=hr();q(c,a)};V(Gt,c=>{n(s)?c(Wt):c(Vt,-1)})}h(Xe);var Qe=$(Xe,2),Nt=$(g(Qe)),Kt=g(Nt,!0);h(Nt),h(Qe);var Zt=$(Qe,2);{var Jt=c=>{zn(c,{get state(){return n(R)}})},Xt=c=>{var a=kr(),d=we(a);{var _=x=>{var C=yr(),W=we(C);Ln(W,{get attempt(){return n(l)},max:p});var re=$(W,2);{var Q=te=>{var se=gr(),Me=g(se),Ie=g(Me);h(Me),h(se),X(nt=>Y(Ie,`${nt??""}…`),[()=>n(K).slice(0,360)]),q(te,se)};V(re,te=>{n(K)&&te(Q)})}q(x,C)};V(d,x=>{n(l)>1&&x(_)})}var k=$(d,2);{var w=x=>{qn(x,{get paragraph(){return n(m).paragraph},get citations(){return n(_e)},get targets(){return n(m).targets},get structuredA(){return n(We)},get structuredB(){return n(Ve)}})},v=x=>{var C=wr(),W=we(C);Bt(W,{get blocks(){return n(fe)},get citations(){return n(_e)},streaming:!1});var re=$(W,2);{var Q=te=>{var se=br();q(te,se)};V(re,te=>{n(b)||te(Q)})}q(x,C)},M=x=>{Mn(x)},T=x=>{var C=Ar(),W=$(g(C),2);{var re=Q=>{var te=xr(),se=g(te),Me=g(se);h(se);var Ie=$(se,2),nt=g(Ie,!0);h(Ie),h(te),X(()=>{Y(Me,`Planner streaming (${n(u).length??""} chars)`),Y(nt,n(u))}),q(Q,te)};V(W,Q=>{n(u)&&Q(re)})}h(C),q(x,C)},G=x=>{var C=Sr();q(x,C)};V(k,x=>{var C,W,re;((C=n(s))==null?void 0:C.intent)==="compare"&&((re=(W=n(m))==null?void 0:W.targets)==null?void 0:re.length)===2?x(w):n(fe).length?x(v,1):n(L)&&!n(A)?x(M,2):n(s)?x(G,-1):x(T,3)})}q(c,a)};V(Zt,c=>{n(R)?c(Jt):c(Xt,-1)})}h(Je);var $t=$(Je,2),et=g($t),tt=g(et),Qt=$(g(tt),2);{var en=c=>{var a=Nr(),d=g(a);{var _=w=>{var v=rt("Carto Positron · z15 · 2 locations");q(w,v)},k=w=>{var v=rt("awaiting geocode…");q(w,v)};V(d,w=>{n(ue)||n(pe)?w(_):w(k,-1)})}h(a),q(c,a)},tn=c=>{var a=$r(),d=g(a);h(a),X((_,k)=>Y(d,`Carto Positron · z15 · ${_??""}°N ${k??""}°W`),[()=>n(ie).lat.toFixed(4),()=>Math.abs(n(ie).lon).toFixed(4)]),q(c,a)},nn=c=>{var a=Cr();q(c,a)};V(Qt,c=>{var a;((a=n(s))==null?void 0:a.intent)==="compare"?c(en):n(ie)?c(tn,1):c(nn,-1)})}h(tt);var rn=$(tt,2);{var an=c=>{var a=Fr(),d=g(a);{var _=v=>{var M=qr(),T=g(M),G=g(T);h(T);var x=$(T,2),C=g(x);at(C,{get address(){return n(ue)},get activeLayers(){return n(de)},get sandyEmpirical(){return n(_t)},get depModeled(){return n(vt)},get syntheticPrior(){return n(ht)},get proxy311(){return n(gt)},get idaHwm(){return n(yt)}}),h(x),h(M),X(()=>Y(G,`A · ${n(ue).label??""}`)),q(v,M)};V(d,v=>{n(ue)&&v(_)})}var k=$(d,2);{var w=v=>{var M=Tr(),T=g(M),G=g(T);h(T);var x=$(T,2),C=g(x);at(C,{get address(){return n(pe)},get activeLayers(){return n(de)},get sandyEmpirical(){return n(bt)},get depModeled(){return n(wt)},get syntheticPrior(){return n(xt)},get proxy311(){return n(At)},get idaHwm(){return n(St)}}),h(x),h(M),X(()=>Y(G,`B · ${n(pe).label??""}`)),q(v,M)};V(k,v=>{n(pe)&&v(w)})}h(a),q(c,a)},sn=c=>{var a=Mr(),d=g(a);at(d,{get address(){return n(ie)},get activeLayers(){return n(de)},get sandyEmpirical(){return n(Ne)},get depModeled(){return n($e)},get syntheticPrior(){return n(Ce)},get proxy311(){return n(qe)},get idaHwm(){return n(Te)},get registerPoints(){return n(mt)},get registerPolygons(){return n(ft)},get terramindLulc(){return n(Ge)},get linkedKey(){return n(P)}});var _=$(d,2);hn(_,{get active(){return n(de)},get featureCounts(){return n(Ht)},onToggle:k=>f(de,{...n(de),[k]:!n(de)[k]},!0)}),h(a),q(c,a)};V(rn,c=>{var a;((a=n(s))==null?void 0:a.intent)==="compare"?c(an):n(ie)&&c(sn,1)})}h(et);var Ct=$(et,2),on=g(Ct);_n(on,{get citations(){return n(_e)}}),h(Ct),h($t),h(Ze);var qt=$(Ze,2),Tt=g(qt),ln=g(Tt);vn(ln,{get data(){return n(ne)},density:O,provenanceMode:z,get showGrammar(){return n(I)},get linkedKey(){return n(P)},onLink:Z,onCite:ce}),h(Tt),h(qt),h(kt),h(Ke),X(c=>Y(Kt,c),[()=>n(i)()]),q(r,Ke),Pt()}export{Gr as component,Ur as universal};

web/sveltekit/build/_app/version.json

@@ -1 +1 @@
-{"version":"1778116586771"}
+{"version":"1778128400538"}

web/sveltekit/build/index.html

@@ -6,21 +6,21 @@
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="./_app/immutable/entry/start.CNQZC3fg.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/sQImrWTX.js" rel="modulepreload">
+    <link href="./_app/immutable/entry/start.BkS8JQ5_.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/BgqmyNr8.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/BTUA7_xE.js" rel="modulepreload">
-		<link href="./_app/immutable/entry/app.C_JcOYY7.js" rel="modulepreload">
+		<link href="./_app/immutable/entry/app.DtHxgVfE.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CXQd8Y6F.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CWw6qgC_.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/Bd-v_9Ud.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CW0zSL4D.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/0.CRsWI93d.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/0.LAFF30Kg.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DxQlA7U2.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/B5Keu-3_.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/BbRPgcjS.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DCD6_LXk.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/B0XoTt7U.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DixtWtwq.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/2.C5KRyfXe.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/2.vc91Ib0z.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/cDW0xQNP.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/25_y8TFd.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/D907np-5.js" rel="modulepreload">
@@ -37,15 +37,15 @@
 			
 			<script>
 				{
-					__sveltekit_1072qog = {
+					__sveltekit_8j9bml = {
 						base: new URL(".", location).pathname.slice(0, -1)
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("./_app/immutable/entry/start.CNQZC3fg.js"),
-						import("./_app/immutable/entry/app.C_JcOYY7.js")
+						import("./_app/immutable/entry/start.BkS8JQ5_.js"),
+						import("./_app/immutable/entry/app.DtHxgVfE.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element, {
 							node_ids: [0, 2],

web/sveltekit/build/q/sample.html

@@ -6,17 +6,17 @@
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="../_app/immutable/entry/start.CNQZC3fg.js" rel="modulepreload">
-		<link href="../_app/immutable/chunks/sQImrWTX.js" rel="modulepreload">
+    <link href="../_app/immutable/entry/start.BkS8JQ5_.js" rel="modulepreload">
+		<link href="../_app/immutable/chunks/BgqmyNr8.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/BTUA7_xE.js" rel="modulepreload">
-		<link href="../_app/immutable/entry/app.C_JcOYY7.js" rel="modulepreload">
+		<link href="../_app/immutable/entry/app.DtHxgVfE.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/CXQd8Y6F.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/CWw6qgC_.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/Bd-v_9Ud.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/CW0zSL4D.js" rel="modulepreload">
-		<link href="../_app/immutable/nodes/0.CRsWI93d.js" rel="modulepreload">
+		<link href="../_app/immutable/nodes/0.LAFF30Kg.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/DxQlA7U2.js" rel="modulepreload">
-		<link href="../_app/immutable/chunks/B5Keu-3_.js" rel="modulepreload">
+		<link href="../_app/immutable/chunks/BbRPgcjS.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/DCD6_LXk.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/B0XoTt7U.js" rel="modulepreload">
 		<link href="../_app/immutable/chunks/DixtWtwq.js" rel="modulepreload">
@@ -38,15 +38,15 @@
 			
 			<script>
 				{
-					__sveltekit_1072qog = {
+					__sveltekit_8j9bml = {
 						base: new URL("..", location).pathname.slice(0, -1)
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("../_app/immutable/entry/start.CNQZC3fg.js"),
-						import("../_app/immutable/entry/app.C_JcOYY7.js")
+						import("../_app/immutable/entry/start.BkS8JQ5_.js"),
+						import("../_app/immutable/entry/app.DtHxgVfE.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element, {
 							node_ids: [0, 5],

web/sveltekit/src/lib/client/agentStream.ts

@@ -36,6 +36,8 @@ export interface StepEvent {
   err?: string;
   tier?: Tier | null;
   claims?: number;
+  /** Present on compare-intent step events: "PLACE A" or "PLACE B". */
+  target_label?: string;
 }
 
 export interface MelleaAttempt {

web/sveltekit/src/lib/components/briefing/CompareBriefing.svelte

@@ -1,7 +1,7 @@
 <script lang="ts">
   import Briefing from './Briefing.svelte';
   import { parseBriefing } from '$lib/client/parseBriefing';
-  import type { BriefingBlock, Citation } from '$lib/types/claim';
+  import type { Citation } from '$lib/types/claim';
 
   interface Target {
     label: string;
@@ -12,9 +12,12 @@
     paragraph: string;
     citations: Record<string, Citation>;
     targets: Target[];
+    /** Per-place step result payloads from the agent stream, keyed by step name. */
+    structuredA?: Record<string, unknown>;
+    structuredB?: Record<string, unknown>;
   }
 
-  let { paragraph, citations, targets }: Props = $props();
+  let { paragraph, citations, targets, structuredA = {}, structuredB = {} }: Props = $props();
 
   // Split the merged compare paragraph at the --- divider.
   // Each half begins with `## PLACE A/B: <address>` which we strip to get
@@ -41,78 +44,69 @@
     ...parsedB.citations
   });
 
-  // Collect prose text keyed by section number ('01'–'04').
-  function sectionTexts(blocks: BriefingBlock[]): Map<string, string> {
-    const map = new Map<string, string>();
-    let cur = '';
-    for (const b of blocks) {
-      if (b.kind === 'head') cur = b.n;
-      else if (b.kind === 'prose' && cur) {
-        map.set(cur, (map.get(cur) ?? '') + ' ' + b.parts.map((p) => p.text).join(''));
-      }
-    }
-    return map;
-  }
-
-  // Return all numbers (with optional unit suffix) in a text, in order.
-  const NUM_RE = /\b(\d[\d,]*(?:\.\d+)?)\s*(%|ft|m|km|mm)?\b/g;
-  function findNumbers(text: string): Array<{ full: string; start: number }> {
-    const hits: Array<{ full: string; start: number }> = [];
-    let m: RegExpExecArray | null;
-    NUM_RE.lastIndex = 0;
-    while ((m = NUM_RE.exec(text)) !== null) {
-      const full = m[1] + (m[2] ?? '');
-      hits.push({ full, start: m.index });
-    }
-    return hits;
-  }
-
-  // Up to 3 words immediately before `start` in `text`.
-  function ctxBefore(text: string, start: number): string {
-    const snippet = text.slice(Math.max(0, start - 40), start).trim();
-    return snippet.split(/\s+/).slice(-3).join(' ');
-  }
-
-  const SECTION_LABELS: Record<string, string> = {
-    '01': 'Status',
-    '02': 'Empirical',
-    '03': 'Modeled',
-    '04': 'Policy'
-  };
-
   interface DeltaRow {
-    sectionLabel: string;
+    label: string;
     ctx: string;
     aVal: string;
     bVal: string;
   }
 
-  // One delta row per canonical section where the first compared number differs.
+  function getNum(steps: Record<string, unknown>, stepName: string, field: string): number | undefined {
+    const r = steps[stepName];
+    if (!r || typeof r !== 'object') return undefined;
+    const v = (r as Record<string, unknown>)[field];
+    return typeof v === 'number' ? v : undefined;
+  }
+
+  function getBool(steps: Record<string, unknown>, stepName: string, field: string): boolean | undefined {
+    const r = steps[stepName];
+    if (!r || typeof r !== 'object') return undefined;
+    const v = (r as Record<string, unknown>)[field];
+    return typeof v === 'boolean' ? v : undefined;
+  }
+
+  // Derive diff rows from structured specialist step payloads.
+  // This avoids parsing prose for numbers, which incorrectly picks up
+  // address street numbers as "Status" comparisons.
   const deltaRows = $derived.by<DeltaRow[]>(() => {
-    const textsA = sectionTexts(parsedA.blocks);
-    const textsB = sectionTexts(parsedB.blocks);
     const rows: DeltaRow[] = [];
-    for (const [n, label] of Object.entries(SECTION_LABELS)) {
-      const tA = textsA.get(n) ?? '';
-      const tB = textsB.get(n) ?? '';
-      if (!tA || !tB) continue;
-      const numsA = findNumbers(tA);
-      const numsB = findNumbers(tB);
-      if (!numsA.length || !numsB.length) continue;
-      const len = Math.min(numsA.length, numsB.length);
-      for (let i = 0; i < len; i++) {
-        if (numsA[i].full !== numsB[i].full) {
-          rows.push({
-            sectionLabel: label,
-            ctx: ctxBefore(tA, numsA[i].start),
-            aVal: numsA[i].full,
-            bVal: numsB[i].full
-          });
-          break;
-        }
-      }
+
+    // Sandy inundation zone membership
+    const sandyA = getBool(structuredA, 'sandy_inundation', 'inside');
+    const sandyB = getBool(structuredB, 'sandy_inundation', 'inside');
+    if (sandyA !== undefined && sandyB !== undefined && sandyA !== sandyB) {
+      rows.push({ label: 'Sandy zone', ctx: '', aVal: sandyA ? 'inside' : 'outside', bVal: sandyB ? 'inside' : 'outside' });
+    }
+
+    // 311 flood complaints (5-year radius)
+    const n311A = getNum(structuredA, 'nyc311', 'n');
+    const n311B = getNum(structuredB, 'nyc311', 'n');
+    if (n311A !== undefined && n311B !== undefined && n311A !== n311B) {
+      rows.push({ label: '311 complaints', ctx: '5 y', aVal: String(n311A), bVal: String(n311B) });
+    }
+
+    // Terrain elevation
+    const elevA = getNum(structuredA, 'microtopo_lidar', 'elev_m');
+    const elevB = getNum(structuredB, 'microtopo_lidar', 'elev_m');
+    if (elevA !== undefined && elevB !== undefined && Math.abs(elevA - elevB) > 0.5) {
+      rows.push({ label: 'Elevation', ctx: '', aVal: `${elevA.toFixed(1)} m`, bVal: `${elevB.toFixed(1)} m` });
+    }
+
+    // FloodNet sensor flood events (3-year)
+    const fnA = getNum(structuredA, 'floodnet', 'n_events_3y');
+    const fnB = getNum(structuredB, 'floodnet', 'n_events_3y');
+    if (fnA !== undefined && fnB !== undefined && fnA !== fnB) {
+      rows.push({ label: 'Sensor events', ctx: 'last 3 y', aVal: String(fnA), bVal: String(fnB) });
     }
-    return rows;
+
+    // Ida 2021 high-water mark (nearest within 800 m)
+    const idaA = getNum(structuredA, 'ida_hwm_2021', 'max_height_above_gnd_ft');
+    const idaB = getNum(structuredB, 'ida_hwm_2021', 'max_height_above_gnd_ft');
+    if (idaA !== undefined && idaB !== undefined && Math.abs(idaA - idaB) > 0.1) {
+      rows.push({ label: 'Ida 2021 HWM', ctx: 'ft above gnd', aVal: `${idaA.toFixed(2)} ft`, bVal: `${idaB.toFixed(2)} ft` });
+    }
+
+    return rows.slice(0, 4);
   });
 </script>
 
@@ -123,7 +117,7 @@
       <div class="compare-delta-rows">
         {#each deltaRows as row}
           <div class="compare-delta-row">
-            <span class="compare-delta-section">{row.sectionLabel}</span>
+            <span class="compare-delta-section">{row.label}</span>
             <span class="compare-delta-claim">
               {#if row.ctx}<span class="compare-delta-ctx">{row.ctx}:</span>{/if}
               <strong class="compare-delta-a">{row.aVal}</strong>

web/sveltekit/src/routes/q/[queryId]/+page.svelte

@@ -293,6 +293,25 @@
   let terramindLulcFc = $state<FeatureCollection | undefined>(undefined);
   let idaHwmFc = $state<FeatureCollection | undefined>(undefined);
 
+  // Compare-intent: independent geocoded addresses per place.
+  // Populated from geocode step events tagged with target_label.
+  let compareAddressA = $state<{ label: string; lat: number; lon: number; source: AddressSource } | null>(null);
+  let compareAddressB = $state<{ label: string; lat: number; lon: number; source: AddressSource } | null>(null);
+  // Per-place step result payloads for the structured diff strip.
+  let compareStepsA = $state<Record<string, unknown>>({});
+  let compareStepsB = $state<Record<string, unknown>>({});
+  // Per-place map layers for compare intent.
+  let sandyFcA = $state<FeatureCollection | undefined>(undefined);
+  let depFcA = $state<FeatureCollection | undefined>(undefined);
+  let synFcA = $state<FeatureCollection | undefined>(undefined);
+  let proxyFcA = $state<FeatureCollection | undefined>(undefined);
+  let idaHwmFcA = $state<FeatureCollection | undefined>(undefined);
+  let sandyFcB = $state<FeatureCollection | undefined>(undefined);
+  let depFcB = $state<FeatureCollection | undefined>(undefined);
+  let synFcB = $state<FeatureCollection | undefined>(undefined);
+  let proxyFcB = $state<FeatureCollection | undefined>(undefined);
+  let idaHwmFcB = $state<FeatureCollection | undefined>(undefined);
+
   // Per-tier feature counts for the map legend. Layers with 0 are
   // dropped from the legend display per the silence-over-confabulation
   // rule (handoff hard rule #3).
@@ -378,6 +397,26 @@
     }
   });
 
+  // Compare-intent: load map layers independently for each place.
+  $effect(() => {
+    if (!compareAddressA) return;
+    const { lat, lon } = compareAddressA;
+    fetchSandy(lat, lon).then((fc) => (sandyFcA = fc));
+    fetchDep(lat, lon).then((fc) => (depFcA = fc));
+    fetchPrithviSynthetic(lat, lon).then((fc) => (synFcA = fc));
+    fetchProxyDots(lat, lon).then((fc) => (proxyFcA = fc));
+    fetchIdaHwm(lat, lon).then((fc) => (idaHwmFcA = fc));
+  });
+  $effect(() => {
+    if (!compareAddressB) return;
+    const { lat, lon } = compareAddressB;
+    fetchSandy(lat, lon).then((fc) => (sandyFcB = fc));
+    fetchDep(lat, lon).then((fc) => (depFcB = fc));
+    fetchPrithviSynthetic(lat, lon).then((fc) => (synFcB = fc));
+    fetchProxyDots(lat, lon).then((fc) => (proxyFcB = fc));
+    fetchIdaHwm(lat, lon).then((fc) => (idaHwmFcB = fc));
+  });
+
   onMount(() => {
     briefingState.reset();
     if (!queryText()) return;
@@ -415,13 +454,20 @@
         applyStepEventToLiveState(liveResults, s.step, s.result, s.ok);
         liveTick = liveTick + 1;
 
-        // address from the geocode step (single_address / live_now)
+        // address from the geocode step (single_address / live_now / compare).
+        // Compare emits two geocode steps tagged target_label: "PLACE A" / "PLACE B".
         if (s.step === 'geocode') {
           if (s.ok && s.result && typeof s.result === 'object') {
             const r = s.result as Record<string, unknown>;
             if (typeof r.lat === 'number' && typeof r.lon === 'number') {
               const label = (typeof r.address === 'string' ? r.address : queryText()) as string;
-              address = { label, lat: r.lat, lon: r.lon, source: 'geocode' };
+              if (s.target_label === 'PLACE A') {
+                compareAddressA = { label, lat: r.lat, lon: r.lon, source: 'geocode' };
+              } else if (s.target_label === 'PLACE B') {
+                compareAddressB = { label, lat: r.lat, lon: r.lon, source: 'geocode' };
+              } else {
+                address = { label, lat: r.lat, lon: r.lon, source: 'geocode' };
+              }
               geocodeSucceeded = true;
             }
           } else {
@@ -429,6 +475,13 @@
             errorState = 'geocoder';
           }
         }
+        // Accumulate per-place step results for the compare structured diff strip.
+        if (s.target_label === 'PLACE A') {
+          compareStepsA = { ...compareStepsA, [s.step]: s.result };
+        } else if (s.target_label === 'PLACE B') {
+          compareStepsB = { ...compareStepsB, [s.step]: s.result };
+        }
+
         // address from the nta_resolve step (neighborhood / development_check)
         if (s.step === 'nta_resolve' && s.ok && s.result && typeof s.result === 'object') {
           const r = s.result as Record<string, unknown>;
@@ -649,6 +702,8 @@
               paragraph={finalResult.paragraph}
               {citations}
               targets={finalResult.targets}
+              structuredA={compareStepsA}
+              structuredB={compareStepsB}
             />
           {:else if blocks.length}
             <Briefing {blocks} {citations} streaming={false} />
@@ -680,7 +735,11 @@
         <aside id="region-map" class="app-region app-region-map" aria-label="Map region">
           <header class="region-head">
             <span class="section-label">Map</span>
-            {#if address}
+            {#if plan?.intent === 'compare'}
+              <span class="region-head-meta">
+                {#if compareAddressA || compareAddressB}Carto Positron · z15 · 2 locations{:else}awaiting geocode…{/if}
+              </span>
+            {:else if address}
               <span class="region-head-meta">
                 Carto Positron · z15 · {address.lat.toFixed(4)}°N {Math.abs(address.lon).toFixed(4)}°W
               </span>
@@ -688,7 +747,42 @@
               <span class="region-head-meta">awaiting geocode…</span>
             {/if}
           </header>
-          {#if address}
+          {#if plan?.intent === 'compare'}
+            <div class="compare-map-stack">
+              {#if compareAddressA}
+                <div class="compare-map-place">
+                  <div class="compare-map-label">A · {compareAddressA.label}</div>
+                  <div style="position: relative;">
+                    <RipMap
+                      address={compareAddressA}
+                      activeLayers={active}
+                      sandyEmpirical={sandyFcA}
+                      depModeled={depFcA}
+                      syntheticPrior={synFcA}
+                      proxy311={proxyFcA}
+                      idaHwm={idaHwmFcA}
+                    />
+                  </div>
+                </div>
+              {/if}
+              {#if compareAddressB}
+                <div class="compare-map-place">
+                  <div class="compare-map-label">B · {compareAddressB.label}</div>
+                  <div style="position: relative;">
+                    <RipMap
+                      address={compareAddressB}
+                      activeLayers={active}
+                      sandyEmpirical={sandyFcB}
+                      depModeled={depFcB}
+                      syntheticPrior={synFcB}
+                      proxy311={proxyFcB}
+                      idaHwm={idaHwmFcB}
+                    />
+                  </div>
+                </div>
+              {/if}
+            </div>
+          {:else if address}
             <div style="position: relative; flex: 1; min-height: 0;">
               <RipMap
                 {address}
@@ -735,6 +829,27 @@
 </section>
 
 <style>
+  .compare-map-stack {
+    display: flex;
+    flex-direction: column;
+    gap: var(--s-3, 8px);
+    padding-top: 4px;
+  }
+  .compare-map-place {
+    display: flex;
+    flex-direction: column;
+  }
+  .compare-map-label {
+    font-family: var(--font-mono);
+    font-size: 11px;
+    font-weight: 600;
+    letter-spacing: 0.06em;
+    text-transform: uppercase;
+    color: var(--ink-secondary);
+    padding: 2px 0 4px;
+    border-bottom: 1px solid var(--rule-soft);
+    margin-bottom: 4px;
+  }
   .plan-details {
     border: 1px solid var(--rule-soft);
     background: var(--paper-deep);