chore: bump version to 1.5.7

* feat(console): inline node picker replaces back-to-console banner

Drops the 32px banner the console proxy used to inject above proxied
server-UI pages and replaces it with an inline node-id pill in the
existing #ui-header.  Click the pill to open a dropdown that lists
healthy nodes (health dot, ws count, reachable/degraded/unreachable
text) plus a top-row link back to the console.

Reuses the .ws-tab-dropdown shell from ui/static/style.css for
animation, shadow, theme override, and item layout, so the picker
visually matches the workstream-tab chevron menu it sits next to.
Keyboard nav (ArrowDown/Up/Home/End/Tab/Escape) mirrors the chevron
menu's handler with cross-reference comments at both sites.
Lazy-fetches /v1/api/cluster/nodes against the console origin
(bypassing the prefix shim) on first open.

Reclaims 32px of vertical space, consolidates three separate
"you're on node X via console" indicators into one, and turns the
wayfinding chrome into a real cluster-nav primitive.

* fix(console): address Copilot review on node picker

- Request /v1/api/cluster/nodes?limit=1000 (collector's hard cap)
  instead of relying on the default 100 — clusters with more than
  100 nodes were silently dropping rows from the picker.
- Hand off focus to the first menu item after the async fetch
  resolves: openMenu()'s deferred focus hook ran while only the
  skeleton was in the DOM, so first-open keyboard users were
  stranded on the trigger until they pressed an arrow key.
- Tab now closes the menu without preventDefault, so focus moves
  to the next focusable element on the first press (ARIA APG menu
  pattern).  Escape still preventDefault + returns to the pill.
- Cap pill max-width at 240px and ellipsize the id span; node ids
  are accepted up to 256 chars upstream and could otherwise push
  the title and right-side controls off the appbar.  Pill carries
  a title attribute so the full id is still legible on hover.

.env.example

@@ -1,61 +1,49 @@
 # =============================================================================
-# Turnstone environment overrides — ALL OPTIONAL for the dev stack.
+# Turnstone Environment Variables
+# Copy to .env and adjust values for your deployment.
 #
-# `docker compose up` from a clone works with zero config: every value below
-# has a built-in (insecure) default. Copy this file to `.env` only to override.
-#
-# The PRODUCTION stack (turnstone/deploy/compose.yaml) has no baked-in secrets
-# and DOES require TURNSTONE_JWT_SECRET and POSTGRES_PASSWORD.
-#
-# Note: for a turnstone process running on bare metal (not in a container),
-# put secrets in ~/.config/turnstone/config.toml (chmod 0600), not the
-# environment. See docs/docker.md "Join a bare-metal host".
+# Usage:
+# Single node: docker compose --profile production up
+# 10-node cluster: docker compose --profile cluster up
 # =============================================================================
 
-# -- LLM backend --------------------------------------------------------------
-# Optional: nodes boot without an LLM. Add real model backends from the console
-# UI (Models tab). These only set the bootstrap default a node starts with.
-# LLM_BASE_URL=http://host.docker.internal:8000/v1
-# OPENAI_API_KEY=dummy
-# ANTHROPIC_API_KEY=sk-ant-...     # set instead of OPENAI_API_KEY for Anthropic
-# TURNSTONE_SEARXNG_URL=http://searxng:8080  # web_search backend (default: bundled service; set to an external SearxNG)
-# MODEL=                           # default model alias
+# -- LLM Backend --------------------------------------------------------------
+LLM_BASE_URL=http://host.docker.internal:8000/v1
+OPENAI_API_KEY=dummy
+# ANTHROPIC_API_KEY=sk-ant-...# Set instead of OPENAI_API_KEY for Anthropic
+# TAVILY_API_KEY=tvly-... # Web search fallback (local models only)
+# MODEL=# Override default model alias
 
-# -- Secrets ------------------------------------------------------------------
-# The dev stack defaults these to INSECURE values. Always set real ones for
-# anything reachable beyond localhost. Generate the JWT secret with:
-#   python -c "import secrets; print(secrets.token_hex(32))"
-# TURNSTONE_JWT_SECRET=
-# POSTGRES_PASSWORD=
+# -- Authentication (required) ------------------------------------------------
+# Generate with: python -c "import secrets; print(secrets.token_hex(32))"
+TURNSTONE_JWT_SECRET=changeme-to-32-bytes-of-hex
 
-# -- Database -----------------------------------------------------------------
-# Defaults to the bundled PostgreSQL (shared by every service — required for
-# the console to discover nodes). Override to point at an external database:
+# -- Database ------------------------------------------------------------------
+# Single-node default is SQLite (zero config). Set these for PostgreSQL:
 # TURNSTONE_DB_BACKEND=postgresql
 # POSTGRES_USER=turnstone
-# TURNSTONE_DB_URL=postgresql+psycopg://turnstone:<pw>@postgres:5432/turnstone
+# POSTGRES_PASSWORD=changeme
+# TURNSTONE_DB_URL=postgresql+psycopg://turnstone:changeme@postgres:5432/turnstone
 
-# -- Ports / networking -------------------------------------------------------
-# The dashboard is reached via Caddy only (HTTP/2 avoids the browser's
-# 6-connection cap on the console's SSE streams). Both stacks expose the same
-# two host ports; everything else is proxied through the console.
-# CONSOLE_HTTPS_PORT=8443          # Caddy (dashboard HTTPS)
-# POSTGRES_PORT=5432               # exposed for bare-metal host joins
-# POSTGRES_BIND=127.0.0.1          # set 0.0.0.0 to let another machine join
+# -- Ports ---------------------------------------------------------------------
+# SERVER_PORT=8080
+# CONSOLE_PORT=8090
 
-# -- Workspace ----------------------------------------------------------------
-# Bind-mount a host directory the model can read/write at /workspace:
+# -- Workspace -----------------------------------------------------------------
+# Bind-mount a host directory into the container at /workspace.
+# The model can read/write files here. Default: empty Docker volume.
 # WORKSPACE_MOUNT=/path/to/your/project
 
-# -- Agent behavior -----------------------------------------------------------
-# SKIP_PERMISSIONS=true            # auto-approve all tool calls (dev only)
-# MCP_CONFIG=/workspace/mcp.json   # MCP server config file
+# -- Agent behavior ------------------------------------------------------------
+# SKIP_PERMISSIONS=true # Auto-approve all tool calls (dev only)
+# MCP_CONFIG=/workspace/mcp.json# MCP server configuration file
 
-# -- Channel gateway (Discord / Slack) ----------------------------------------
+# -- Discord channel gateway ---------------------------------------------------
 # TURNSTONE_DISCORD_TOKEN=
 # TURNSTONE_DISCORD_GUILD=0
-# TURNSTONE_SLACK_TOKEN=xoxb-...
-# TURNSTONE_SLACK_APP_TOKEN=xapp-...
 
-# -- Production image tag ------------------------------------------------------
-# TURNSTONE_IMAGE_TAG=latest       # pin the ghcr.io image (production stack)
+# -- Cluster (profile: cluster) -----------------------------------------------
+# These are set per-node in compose.yaml; only override for custom topologies.
+# TURNSTONE_NODE_ID=node-1
+# TURNSTONE_ADVERTISE_URL=http://server-1:8080
+

.github/FUNDING.yml

@@ -1,5 +0,0 @@
-# Funding platforms for the GitHub "Sponsor" button.
-# https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/displaying-a-sponsor-button-in-your-repository
-
-github: [eous]
-custom: ["https://paypal.me/eousphoros"]

.github/workflows/ci.yml

@@ -14,8 +14,8 @@ jobs:
   lint:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: "3.14"
       - run: pip install pre-commit
@@ -25,8 +25,8 @@ jobs:
   typecheck:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: "3.14"
       - run: pip install mypy
@@ -35,15 +35,12 @@ jobs:
 
   test:
     runs-on: ubuntu-latest
-    # Cap a hung run at 20 min instead of riding GitHub's 6-hour default
-    # (a flaky-hang run otherwise streams -v output for hours).
-    timeout-minutes: 20
     strategy:
       matrix:
         python-version: ["3.11", "3.12", "3.13"]
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: ${{ matrix.python-version }}
       # Node is required by tests/test_renderer_js.py — without
@@ -54,10 +51,7 @@ jobs:
         with:
           node-version: "24"
       - run: pip install -e ".[test]"
-      # -v lists each test id as it starts (pytest prints the nodeid at
-      # logstart), so a hang names the culprit on the last line instead of
-      # riding the job timeout with only a trail of "..." dots.
-      - run: pytest tests/ -m "not live" --cov=turnstone --cov-report=term-missing --cov-report=xml -v
+      - run: pytest tests/ -m "not live" --cov=turnstone --cov-report=term-missing --cov-report=xml -q
       - uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
         with:
@@ -66,7 +60,6 @@ jobs:
 
   test-postgres:
     runs-on: ubuntu-latest
-    timeout-minutes: 20
     services:
       postgres:
         image: postgres:18
@@ -82,23 +75,23 @@ jobs:
           --health-timeout=5s
           --health-retries=5
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: "3.14"
       - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
         with:
           node-version: "24"
-      - run: pip install -e ".[test]"
-      - run: pytest tests/ -m "not live" --storage-backend=postgresql -v
+      - run: pip install -e ".[test,postgres]"
+      - run: pytest tests/ -m "not live" --storage-backend=postgresql -q
         env:
           TURNSTONE_TEST_PG_URL: postgresql+psycopg://postgres:postgres@localhost:5432/turnstone_test
 
   wheel-completeness:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: "3.14"
       - run: pip install build
@@ -113,16 +106,9 @@ jobs:
             | grep -v '\.py$' | grep -v '\.dist-info' | grep -v '\.pyc' | grep -v '^File$' \
             | sort)
 
-          # Files intentionally excluded from the wheel (one per line).
-          # The vllm-litellm/ deploy example ships in the repo, not the wheel
-          # (you clone the repo to run it; the package doesn't reference it).
+          # Files intentionally excluded from the wheel (one per line)
           ALLOW="
           turnstone/core/storage/migrations/script.py.mako
-          turnstone/deploy/vllm-litellm/.env.example
-          turnstone/deploy/vllm-litellm/README.md
-          turnstone/deploy/vllm-litellm/docker-compose.yml
-          turnstone/deploy/vllm-litellm/gemma.Dockerfile
-          turnstone/deploy/vllm-litellm/litellm-config.yaml
           "
 
           MISSING=$(comm -23 <(echo "$SOURCE") <(echo "$WHEEL") \
@@ -146,13 +132,13 @@ jobs:
           /tmp/smoke/bin/turnstone-console --help
           /tmp/smoke/bin/turnstone-admin --help
           /tmp/smoke/bin/turnstone-channel --help
-          /tmp/smoke/bin/turnstone-doctor --help
+          /tmp/smoke/bin/turnstone-bootstrap --help
 
   lock-check:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: astral-sh/setup-uv@d31148d669074a8d0a63714ba94f3201e7020bc3 # v8.3.0
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           uv-version: "0.9.18"
       - run: uv lock --check
@@ -160,27 +146,17 @@ jobs:
   security:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: astral-sh/setup-uv@d31148d669074a8d0a63714ba94f3201e7020bc3 # v8.3.0
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           uv-version: "0.9.18"
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         with:
           python-version: "3.14"
       - run: uv sync --frozen --all-extras
       - run: uv pip install pip-audit
       - name: Security audit (dependencies)
-        # PYSEC-2025-183 (pyjwt): "weak encryption" — disputed by the
-        # supplier because the key length is chosen by the calling
-        # application, not the library.  Turnstone generates its JWT
-        # signing keys via the standard ``secrets`` module at
-        # operator-controlled strength (see ``turnstone/core/auth.py``),
-        # so the advisory does not apply.  pyjwt 2.12.1 is the current
-        # latest release; no fix version exists.
-        run: >-
-          uv export --no-emit-project --frozen
-          | uv run pip-audit --strict --desc -r /dev/stdin
-          --ignore-vuln PYSEC-2025-183
+        run: uv export --no-emit-project --frozen | uv run pip-audit --strict --desc -r /dev/stdin
 
   security-ts:
     runs-on: ubuntu-latest
@@ -188,7 +164,7 @@ jobs:
       run:
         working-directory: sdk/typescript
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
         with:
           node-version: "24"

.github/workflows/claude-code-review.yml

@@ -1,46 +0,0 @@
-name: Claude Code Review
-
-on:
-  pull_request:
-    types: [opened, synchronize, ready_for_review, reopened]
-    # Optional: Only run on specific file changes
-    # paths:
-    #   - "src/**/*.ts"
-    #   - "src/**/*.tsx"
-    #   - "src/**/*.js"
-    #   - "src/**/*.jsx"
-
-jobs:
-  claude-review:
-    if: github.event.pull_request.head.repo.full_name == github.repository
-    # Optional: Filter by PR author
-    # if: |
-    #   github.event.pull_request.user.login == 'external-contributor' ||
-    #   github.event.pull_request.user.login == 'new-developer' ||
-    #   github.event.pull_request.author_association == 'FIRST_TIME_CONTRIBUTOR'
-
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      pull-requests: write # post the review + inline comments
-      issues: read
-      id-token: write
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-        with:
-          fetch-depth: 1
-
-      - name: Run Claude Code Review
-        id: claude-review
-        uses: anthropics/claude-code-action@f87768c6d25f92ae6efa7175e223ef77d4cbf97f # v1
-        with:
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
-          allowed_bots: 'renovate[bot]' # let Renovate PRs get reviewed
-          plugin_marketplaces: 'https://github.com/anthropics/claude-code.git'
-          plugins: 'code-review@claude-code-plugins'
-          prompt: '/code-review:code-review ${{ github.repository }}/pull/${{ github.event.pull_request.number }}'
-          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
-          # or https://code.claude.com/docs/en/cli-reference for available options
-

.github/workflows/claude.yml

@@ -1,63 +0,0 @@
-name: Claude Code
-
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review_comment:
-    types: [created]
-  issues:
-    types: [opened, assigned]
-  pull_request_review:
-    types: [submitted]
-
-jobs:
-  claude:
-    if: |
-      (
-        github.event_name == 'issue_comment' &&
-        contains(github.event.comment.body, '@claude') &&
-        contains(fromJSON('["OWNER","MEMBER","COLLABORATOR"]'), github.event.comment.author_association)
-      ) || (
-        github.event_name == 'pull_request_review_comment' &&
-        contains(github.event.comment.body, '@claude') &&
-        contains(fromJSON('["OWNER","MEMBER","COLLABORATOR"]'), github.event.comment.author_association)
-      ) || (
-        github.event_name == 'pull_request_review' &&
-        contains(github.event.review.body, '@claude') &&
-        contains(fromJSON('["OWNER","MEMBER","COLLABORATOR"]'), github.event.review.author_association)
-      ) || (
-        github.event_name == 'issues' &&
-        (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')) &&
-        contains(fromJSON('["OWNER","MEMBER","COLLABORATOR"]'), github.event.issue.author_association)
-      )
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      pull-requests: write # post comments/reviews when @-mentioned on a PR
-      issues: write # post comments when @-mentioned on an issue
-      id-token: write
-      actions: read # Required for Claude to read CI results on PRs
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-        with:
-          fetch-depth: 1
-
-      - name: Run Claude Code
-        id: claude
-        uses: anthropics/claude-code-action@f87768c6d25f92ae6efa7175e223ef77d4cbf97f # v1
-        with:
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
-
-          # This is an optional setting that allows Claude to read CI results on PRs
-          additional_permissions: |
-            actions: read
-
-          # Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it.
-          # prompt: 'Update the pull request description to include a summary of changes.'
-
-          # Optional: Add claude_args to customize behavior and configuration
-          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
-          # or https://code.claude.com/docs/en/cli-reference for available options
-          # claude_args: '--allowed-tools Bash(gh pr *)'
-

.github/workflows/docker-publish.yml

@@ -7,9 +7,7 @@ on:
 
 concurrency:
   group: docker-${{ github.event.workflow_run.head_sha }}
-  # Never cancel mid-push: an interrupted multi-tag push can leave the
-  # registry with a partial tag set (e.g. :latest moved, :stable not).
-  cancel-in-progress: false
+  cancel-in-progress: true
 
 permissions:
   contents: read
@@ -21,24 +19,15 @@ env:
 
 jobs:
   docker:
-    # Same gate as publish.yml: workflow_run fires for every CI completion
-    # (including fork and same-repo PR runs) with this repo's token and
-    # packages:write.  Only same-repo tag pushes may publish images; CI's
-    # push trigger matches main/stable/* and v* tags, so a head_branch
-    # starting with "v" is necessarily a tag run.
     if: >-
       github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.event == 'push' &&
-      github.event.workflow_run.head_repository.full_name == github.repository &&
-      startsWith(github.event.workflow_run.head_branch, 'v')
+      github.event.workflow_run.head_repository.full_name == github.repository
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ github.event.workflow_run.head_sha }}
           fetch-depth: 0
-          # The docker build only reads the tree; keep the token out of it.
-          persist-credentials: false
 
       - name: Resolve release tag
         id: tag
@@ -54,7 +43,7 @@ jobs:
 
       - name: Log in to GHCR
         if: steps.tag.outputs.skip == 'false'
-        uses: docker/login-action@af1e73f918a031802d376d3c8bbc3fe56130a9b0 # v4
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
         with:
           registry: ${{ env.REGISTRY }}
           username: ${{ github.actor }}
@@ -78,12 +67,12 @@ jobs:
           fi
           echo "tags=${TAGS}" >> "$GITHUB_OUTPUT"
 
-      - uses: docker/setup-buildx-action@bb05f3f5519dd87d3ba754cc423b652a5edd6d2c # v4
+      - uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
         if: steps.tag.outputs.skip == 'false'
 
       - name: Build and push
         if: steps.tag.outputs.skip == 'false'
-        uses: docker/build-push-action@53b7df96c91f9c12dcc8a07bcb9ccacbed38856a # v7
+        uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7
         with:
           context: .
           push: true

.github/workflows/publish.yml

@@ -7,9 +7,7 @@ on:
 
 concurrency:
   group: publish-${{ github.event.workflow_run.head_sha }}
-  # Never cancel a publish mid-upload: a half-uploaded release (sdist up,
-  # wheel missing) cannot be re-run cleanly because PyPI rejects duplicates.
-  cancel-in-progress: false
+  cancel-in-progress: true
 
 permissions:
   contents: write
@@ -17,26 +15,14 @@ permissions:
 
 jobs:
   publish:
-    # workflow_run fires for EVERY CI completion — including CI runs for
-    # pull_requests from forks — and always executes here with this repo's
-    # secrets, tokens, and the pypi environment.  Gate to same-repo tag
-    # pushes only: CI's push trigger matches branches main/stable/* and
-    # tags v*, so a head_branch starting with "v" is necessarily a tag run.
-    if: >-
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.event == 'push' &&
-      github.event.workflow_run.head_repository.full_name == github.repository &&
-      startsWith(github.event.workflow_run.head_branch, 'v')
+    if: github.event.workflow_run.conclusion == 'success'
     runs-on: ubuntu-latest
     environment: pypi
     steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ github.event.workflow_run.head_sha }}
           fetch-depth: 0
-          # python -m build executes the tree's build backend; don't leave
-          # the contents:write token sitting in .git/config while it runs.
-          persist-credentials: false
 
       - name: Resolve release tag
         id: tag
@@ -50,7 +36,7 @@ jobs:
             echo "skip=false" >> "$GITHUB_OUTPUT"
           fi
 
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
+      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
         if: steps.tag.outputs.skip == 'false'
         with:
           python-version: "3.14"
@@ -63,7 +49,7 @@ jobs:
 
       - name: Create GitHub Release
         if: steps.tag.outputs.skip == 'false'
-        uses: softprops/action-gh-release@718ea10b132b3b2eba29c1007bb80653f286566b # v3
+        uses: softprops/action-gh-release@b4309332981a82ec1c5618f44dd2e27cc8bfbfda # v3
         with:
           tag_name: ${{ steps.tag.outputs.tag }}
           generate_release_notes: true

.github/workflows/understone-example.yml

@@ -1,42 +0,0 @@
-name: Understone example
-
-# The door-game example is a standalone package with no dependency on
-# turnstone core, and the root test suite does not collect it
-# (testpaths=["tests"]). Without this workflow its suite never runs in CI.
-# Path-filtered so it only runs when the example (or this workflow) changes.
-
-on:
-  push:
-    branches: [main, "stable/*"]
-    paths:
-      - "examples/door-game/**"
-      - ".github/workflows/understone-example.yml"
-  pull_request:
-    branches: [main, "stable/*"]
-    paths:
-      - "examples/door-game/**"
-      - ".github/workflows/understone-example.yml"
-
-permissions:
-  contents: read
-
-jobs:
-  understone:
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: examples/door-game
-    strategy:
-      matrix:
-        # Floor and ceiling of the example's requires-python (>=3.11).
-        python-version: ["3.11", "3.13"]
-    steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
-      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6
-        with:
-          python-version: ${{ matrix.python-version }}
-      - run: pip install -e ".[test,dev]"
-      - run: pytest tests/ -q
-      - run: ruff check .
-      - run: ruff format --check .
-      - run: mypy understone/

.github/workflows/vendor-js.yml

@@ -25,43 +25,22 @@ permissions:
 
 jobs:
   vendor-js:
-    # Same-repo PRs only: this job checks out the PR head and pushes to it
-    # with contents:write, so it must never act on a fork's branch.
-    # Gate on the PR author (immutable), not github.actor (names whoever
-    # caused the latest event, which can be someone else re-running it).
-    if: >-
-      (github.event_name == 'pull_request' &&
-       github.event.pull_request.user.login == 'renovate[bot]' &&
-       github.event.pull_request.head.repo.full_name == github.repository) ||
-      github.event_name == 'workflow_dispatch'
+    if: github.actor == 'renovate[bot]' || github.event_name == 'workflow_dispatch'
     runs-on: ubuntu-latest
     steps:
       - name: Resolve PR head ref
         id: ref
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          # Branch names may contain shell metacharacters; pass via env,
-          # never interpolate ${{ }} into the script body.
-          HEAD_REF: ${{ github.head_ref }}
-          PR_NUMBER: ${{ inputs.pr_number }}
         run: |
-          if [[ "$GITHUB_EVENT_NAME" == "workflow_dispatch" ]]; then
-            # The dispatch input is an arbitrary PR number; refuse fork PRs.
-            # A fork's headRefName is a bare branch name that may collide
-            # with a branch in this repo, and checkout+push would then hit
-            # that unrelated branch ("same-repo PRs only" applies here too).
-            pr_json=$(gh pr view "$PR_NUMBER" --repo "$GITHUB_REPOSITORY" --json headRefName,isCrossRepository)
-            if [[ "$(jq -r '.isCrossRepository' <<< "$pr_json")" != "false" ]]; then
-              echo "::error::PR #${PR_NUMBER} head is not a branch in this repository; refusing to complete it."
-              exit 1
-            fi
-            ref=$(jq -r '.headRefName' <<< "$pr_json")
+          if [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
+            ref=$(gh pr view "${{ inputs.pr_number }}" --repo "${{ github.repository }}" --json headRefName -q .headRefName)
           else
-            ref="$HEAD_REF"
+            ref="${{ github.head_ref }}"
           fi
           echo "head_ref=${ref}" >> "$GITHUB_OUTPUT"
 
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ steps.ref.outputs.head_ref }}
 

.gitignore

@@ -9,11 +9,6 @@ build/
 .venv/
 venv/
 .env
-# Local compose overrides (e.g. run.sh's node-count limiter, bootstrap output)
-compose.override.yaml
-compose.override.yml
-docker-compose.override.yaml
-docker-compose.override.yml
 *.so
 .mypy_cache/
 .ruff_cache/
@@ -28,4 +23,3 @@ tools/skill_audit_analysis/data/
 tools/skill_audit_analysis/output/
 design_ideas/
 .claude/
-docs/design/

CONTRIBUTING.md

@@ -56,4 +56,4 @@ Open an issue at https://github.com/turnstonelabs/turnstone/issues with:
 ## License
 
 By contributing, you agree that your contributions will be licensed under the
-project's [Apache License 2.0](LICENSE).
+project's [Business Source License 1.1](LICENSE).

CONTRIBUTORS.md

@@ -1,13 +0,0 @@
-# Contributors
-
-Turnstone is written and maintained by Patrick Buckley
-([@eous](https://github.com/eous)).
-
-The following people have contributed code to the project — thank you:
-
-- Burhan ([@Burhan-Q](https://github.com/Burhan-Q))
-- chrismuzyn ([@chrismuzyn](https://github.com/chrismuzyn))
-- daoxley ([@daoxley](https://github.com/daoxley))
-- Robert DeAngelis ([@OriginalOrangeXD](https://github.com/OriginalOrangeXD))
-- William ([@sillyWillieBilly](https://github.com/sillyWillieBilly))
-- [@pizzaandcheese](https://github.com/pizzaandcheese)

Dockerfile

@@ -8,7 +8,7 @@ FROM python:3.14-slim
 LABEL org.opencontainers.image.title="turnstone" \
       org.opencontainers.image.description="Multi-node AI orchestration platform"
 
-COPY --from=ghcr.io/astral-sh/uv:0.11.27 /uv /usr/local/bin/uv
+COPY --from=ghcr.io/astral-sh/uv:0.11.8 /uv /usr/local/bin/uv
 
 # Remove the slim image's man page exclusion so man-db has actual content
 RUN rm -f /etc/dpkg/dpkg.cfg.d/docker
@@ -17,10 +17,8 @@ RUN rm -f /etc/dpkg/dpkg.cfg.d/docker
 # ripgrep is the preferred backend for the search tool — natively bounds
 # per-line, per-file, and per-filesize so pathological inputs (minified
 # bundles, training-data JSONL with multi-MB single records) can't OOM us.
-# ffmpeg transcodes omni STT uploads (browser webm/opus) to the 16 kHz mono
-# WAV the omni chat-audio lane decodes.
 RUN apt-get update && apt-get upgrade -y && apt-get install -y --no-install-recommends \
-    libpq5 git curl jq man-db manpages procps file ripgrep ffmpeg \
+    libpq5 git curl jq man-db manpages procps file ripgrep \
     && rm -rf /var/lib/apt/lists/*
 
 # Node.js LTS (for npx-based MCP servers like @modelcontextprotocol/server-github)
@@ -35,7 +33,7 @@ RUN useradd --create-home --shell /bin/bash turnstone
 WORKDIR /app
 
 # Install dependencies first (cached layer — only re-runs when deps change)
-COPY pyproject.toml uv.lock README.md LICENSE NOTICE THIRD-PARTY-NOTICES ./
+COPY pyproject.toml uv.lock README.md LICENSE ./
 RUN uv sync --frozen --no-install-project --no-dev \
     --no-compile --extra all
 

HYPOTHESIS.md

@@ -1,229 +0,0 @@
-# What is a harness?
-
-*A hypothesis — not a theorem. The honest answer is a claim about **shape**: an object you can write down that says what a harness is and, just as precisely, the guarantee it cannot carry for free.*
-
-Most descriptions of an agent framework are a feature list. This is an attempt at a definition.
-
----
-
-## The claim
-
-*Informal.* A harness is a **stopped, deterministically-controlled Markov process on task-state, closed around a stopped autoregressive process on context-space, driven by a learned model kernel** — a deterministic controller in closed loop with a stochastic learned plant.
-
-*In plain terms.* The **harness** is the whole governed loop: a deterministic **shell** you write — build the prompt, authorize an action, fold the response back into state — wrapped around a black-box stochastic model kernel (the **plant**, $M_W$) and the environment its actions touch, looped until it halts in $H$. The shell is deterministic, $M_W$ is not, and everything below makes that split precise.
-
-*Formal — the objects.* A harness is a tuple $\mathcal{H} = (\mathcal{S}, \mathcal{C}, \mathcal{Y}, \mathcal{A}, \mathcal{E}, \pi, M_W, \gamma, Q_E, \rho, H, H_{\mathrm{ok}}, B)$ over **standard Borel** spaces (concretely: the *controlled* state is standard Borel by construction — token sequences, finite config maps, bounded counters and ledgers, finite tuples of real vectors — and the model/environment coordinates are inherited as such whenever they serialize to a Polish space; the assumption is roomier than it looks — even a belief-state coordinate valued in $\mathcal{P}(X)$ survives, since $\mathcal{P}(X)$ is Polish for Polish $X$ — and fails only for a genuinely non-separable coordinate, an uncountable product $\sigma$-algebra being the canonical hazard, which this construction avoids): a deterministic lowering $\pi:\mathcal{S}\to\mathcal{C}$; a stochastic model-run kernel $M_W(c, dy)$ into a readout space $\mathcal{Y}$ (which includes the parse-failure $\bot$, so $M_W$ and $\gamma$ are total over it); a deterministic **authorization gate** $\gamma:\mathcal{S}\times\mathcal{Y}\to\mathcal{A}_{\bot}$ that validates the model's parsed readout into an authorized action in $\mathcal{A}$ or rejects it as $\bot$ (parsing itself lives inside $M_W$ — realized as the readout $R$ of the specialization below); a stochastic environment/tool kernel $Q_E:\mathcal{S}\times\mathcal{A}_{\bot}\rightsquigarrow\mathcal{E}$ on the authorized action (rejection included, with $Q_E(s,\bot,\cdot)=\delta_{e_0}$ for a distinguished no-op response $e_0\in\mathcal{E}$); and a deterministic verify-and-fold-back map $\rho:\mathcal{S}\times\mathcal{Y}\times\mathcal{A}_{\bot}\times\mathcal{E}\to\mathcal{S}$.
-
-*Terminal structure.* The terminal set is an absorbing halt set $H\subseteq\mathcal{S}$ (the daemon "ready-state" recurrence of the note below is a separate, non-absorbing object) with accepting subset $H_{\mathrm{ok}}\subseteq H$; separately, a bad set $B\subseteq\mathcal{S}$ ($B\cap H_{\mathrm{ok}}=\varnothing$) marks the unsafe states for reach-avoid, possibly entered before any halt; hitting times are $\tau_A=\inf\{n\ge 0:s_n\in A\}$, and $\tau_H$ is a stopping time for the natural filtration.
-
-*The outer kernel.* The induced outer transition kernel, for $s\notin H$, is
-
-$$T(s, A) = \int_{\mathcal{Y}}\!\int_{\mathcal{E}} \mathbf{1}_A\!\big(\rho(s, y, \gamma(s,y), e)\big)\; Q_E\big(s, \gamma(s,y), de\big)\; M_W(\pi(s), dy), \qquad T(s,A)=\mathbf{1}_A(s)\ \text{ for } s\in H,$$
-
-and the harness runs $s_{n+1} \sim T(s_n)$ from an initial $s_0 \sim \mu_0$ until $\tau_H = \inf\{n : s_n \in H\}$. Because $\pi, \gamma, \rho, H$ are deterministic they contribute no integration variable of their own — they appear as measurable transformations inside the integrand (the pushforward), not literally outside it — so the controller injects no randomness, and every coin is inherited from $M_W$ and $Q_E$. (The earlier shorthand $T = \rho \circ (M_W \circ \pi, E)$ is suggestive but ill-typed — $M_W$ returns a *law*, while $\rho$ consumes a *sample* together with the prior state $s$; the integral is what the shorthand meant.)
-
-*Fail-closed.* The gate $\gamma$ is what makes **fail-closed** a property, not just a name: model output is an *untrusted proposal*, and $\gamma(s,y)=\bot$ forces a no-op environment response ($Q_E(s,\bot,\cdot)=\delta_{e_0}$) — so a malformed or unauthorized tool call is rejected *before* it can act, not validated after its side effects have landed. Fail-closed is then the property that a rejected proposal causes *no unauthorized side effect* and lands in a **safe, non-bad** set ($\rho(s,y,\bot,e_0)\notin B$): a non-accepting terminal $H\setminus H_{\mathrm{ok}}$ in the strict case, or a safe non-terminal state when the spec retries. And $\rho$ must validate the tool *response* $e$, not only the proposal that $\gamma$ already gated: a malformed or adversarial response $e$ is caught at fold-back, not just at the gate. But response-validation has a hard limit: $\rho$ can reject a bad tool *response*, yet it cannot undo side effects an *authorized* action already caused — so $\gamma$, not $\rho$, is the last line before irreversible effects, and anything irreversible must be gated at authorization. The boundary is also only real if raw model output reaches *no* sink — tool, logger, browser, or remote call — before $\gamma$; any pre-authorization escape bypasses the gate. The user-visible final response and any logging are themselves effects, and the rule binds *model-authored* bytes: they reach a sink either as an authorized action through $\gamma$, or only after an accepted halt in $H_{\mathrm{ok}}$. Shell-*templated* text — a refusal notice, a cancellation report reading the ledger — is controller output, outside $\gamma$'s jurisdiction, and may accompany any halt (a template that *interpolates* model-authored fragments inherits the model's label — the appendix's meet rule — and those bytes are gated like any others); the invariant is that raw model text never reaches a sink ungated, not that failed runs die silent.
-
-*The harness invariants.* These are the invariants that make $\mathcal{H}$ a *harness* and not merely a controlled Markov process with a learned kernel inside: the model sees only $\mathcal{C}$, never full $\mathcal{S}$; its outputs are proposals, not actions; a deterministic capability boundary $\gamma$ gates every side effect; and the *terminal* set $H$ splits into accepting ($H_{\mathrm{ok}}$) and non-accepting ($H\setminus H_{\mathrm{ok}}$ — safe refusals outside $B$, and wrong or bad halts possibly in $B$), while the bad set $B$ is a *separate* unsafe set — possibly absorbing, possibly entered mid-run before any halt — against which $\tau_B$ is measured for reach-avoid. Two notes keep the invariants honest. They are *signature*, not strength: a $\gamma$ that authorizes everything still satisfies the tuple, as a trivial group satisfies the group axioms — the definition admits degenerate harnesses, and fail-closed, provenance isolation, and the certificates below are properties a particular harness *earns*, not gifts of the signature. And the first invariant has a sharper, two-sided form: $\pi$ is the *only* channel from state to model — the confidentiality floor lives at what $\pi$ must never lower (credentials, other principals' data) — exactly as $\gamma$ is the only channel from model output to effect, where the injection bounds live; exfiltration is therefore cut at either chokepoint, never lowered or never emitted (the gate refusing the read whose URL is the payload is the emission-side cut). One chokepoint out of the state, one into the world; a bypass of either is the same bug with the sign flipped.
-
-*Beyond the stationary kernel.* This displayed $T$ is the time-homogeneous, fixed-kernel case; for nonstationary or adversarial environments, replace $Q_E$ with a time-indexed kernel $Q_{E,n}$ — or an admissible family of kernels, or an adversary's policy — over which the robust certificate (the minimax form under *The limit*) quantifies. If that adversary conditions on history rather than only the current $(s, y)$, the history must itself live in $s$ — otherwise the object is a Markov *game* requiring further augmentation, not a Markov chain. And nonstationarity is not the environment's monopoly: a provider retraining or re-serving under a fixed endpoint name is a nonstationary $M_{W,n}$ — the table places model version *in* $s$ precisely so a version bump is a visible state change — and any measured surrogate (the $\delta$ of *The limit*) is calibrated against one kernel and dies with the bump; the dashboard must be keyed to the kernel it measured.
-
-*The inner kernel.* $M_W$ is itself a stopped process, and for a decoder-only transformer it is implemented as
-
-$$M_W(c, \cdot) = \mathrm{Law}\big(R(z_{\tau})\big), \quad z_t = (c_t, b_t, m_t), \quad v \sim K_W(c_t, \cdot), \quad K_W(c, v) = (U \circ \Phi_W \circ \mathrm{Emb})(c)[v], \quad c_{t+1} = \mathrm{suffix}_{\le L}(c_t\!\cdot\! v),\ \ b_{t+1} = b_t\!\cdot\! v,\ \ m_{t+1} = \mathsf{step}(m_t, v),\ \ \tau=\inf\{t:m_t\in\mathrm{Stop}\}.$$
-
-with the layer stack $\Phi_W$ on the residual stream as the (loosely) "manifold" core — formally just the learned high-dimensional residual-stream transformation, with manifold-proper reserved for the frontier. The inner state $z_t=(c_t,b_t,m_t)$ separates the model-visible window $c_t$ (the $\le L$ slice that slides) from the untruncated output buffer $b_t$ (the transcript the readout actually consumes, so truncation never loses it) and the parser/stop state $m_t$ (parser state, a token counter, and a clock, so the cap and timeout are functions of it), updated $m_{t+1}=\mathsf{step}(m_t,v)$, whose stop set $\mathrm{Stop}$ — EOS emitted, max-token cap, timeout, or parse-failure $\bot$ — forces $\tau=\inf\{t:m_t\in\mathrm{Stop}\}$ finite, making $M_W$ a genuine *probability* kernel rather than a sub-probability one completed by a cemetery output. (One honesty note on the clock: a token-count cap is a deterministic function of the run, but a *wall-clock* timeout imports infrastructure noise — server load, batching, congestion — into the kernel's coin; legitimate, a kernel may carry any randomness, but it makes the displayed $M_W$ the model *plus its serving substrate*, and the determinism audit under *How this could be wrong* must hold the clock fixed along with the samples.) The readout is total, $R : \mathcal{Z} \to \mathcal{Y}$ — a parsed tool-call, answer, or transcript, returning the parse-failure $\bot\in\mathcal{Y}$ when parsing fails; crucially $R$ is a *syntactic, verified* readout (parsing and extraction), not a semantic solver, or the $L$-wall below is void — arbitrary computation could hide in $R$ off the $\le L$ window — so $M_W(c, \cdot) = R_{\sharp}\,\mathrm{Law}(z_{\tau})$, the pushforward of the stopped-state law along $R$ (equivalently $M_W(c, A_Y) = \Pr[R(z_{\tau}) \in A_Y \mid z_0 = (c,\varnothing,m_0)]$ for a measurable $A_Y\subseteq\mathcal{Y}$); the no-truncation special case takes $\mathcal{Y}=\mathcal{C}$ with $R(c,b,m)=c$ (the window is the whole transcript), reading $c_{\tau}$ directly. The $\bot$ branch is exactly what $\gamma$ rejects fail-closed. This is a **specialization, not part of the definition**: a harness wrapped around a black-box API is still a harness, and $M_W$ may be any learned kernel. Where the weights are open, the geometry of $\Phi_W$ is where the substrate's continuity lives, and several downstream claims lean on it — but the definition does not.
-
-Two stopped processes, nested: **deterministic control over stochastic dynamics over a learned kernel.** Both loops are hitting-time processes; *some* harnesses additionally read the halt set as a fixpoint or acceptance condition — iterative refinement to self-consistency is the genuine fixpoint case, while EOS, length, and tool-call syntax are not convergence. Neither loop settles because you asked it to. (The clean inner-then-outer nesting assumes tool calls fall *between* model runs; streaming or mid-generation tool calls interleave the two loops and need a finer state machine — the nesting is then an idealization.)
-
-## Reading it
-
-| Symbol | Is |
-|---|---|
-| $\mathcal{H}$ | the harness — the whole controlled system, *not* the model |
-| $s \in \mathcal{S}$ | task-state: IR / dialect stack, tool results, plan, counters, **and every mutable interface variable** (model/tool versions, permissions, retrieved context) — only Markov *after* that augmentation |
-| $\mathcal{C},\ \mathcal{Y},\ \mathcal{A},\ \mathcal{E}$ | the **context / readout / action / effect spaces** — model-visible context $\mathcal{C}$, model readout $\mathcal{Y}$ (incl. the parse-failure $\bot$), authorized actions $\mathcal{A}$ (with $\mathcal{A}_{\bot} = \mathcal{A}\cup\{\bot\}$), and tool/environment effects $\mathcal{E}$ |
-| $\pi : \mathcal{S} \to \mathcal{C}$ | **lowering** — prompt construction, dialect lowering, effective-program selection (deterministic) |
-| $M_W(c, dy)$ | the **model-run kernel** (inner solver) — a stopped autoregressive process; $\Phi_W$ is the residual-stream ("manifold") core in the transformer case |
-| $Q_E(s, a, de)$ | the **environment/tool kernel** on the authorized action $a\in\mathcal{A}_{\bot}$ (with $Q_E(s,\bot,\cdot)=\delta_{e_0}$, the no-op $e_0$) — tool effects, API responses, the world (possibly adversarial) |
-| $\gamma,\ \rho$ | the deterministic **authorization gate** $\gamma:\mathcal{S}\times\mathcal{Y}\to\mathcal{A}_{\bot}$ (untrusted proposal → authorized action or $\bot$) and the **fail-closed verify-and-fold-back** $\rho:\mathcal{S}\times\mathcal{Y}\times\mathcal{A}_{\bot}\times\mathcal{E}\to\mathcal{S}$ |
-| $H,\ \tau_H$ | the **halt set** (absorbing) and the outer **halting time** — a hitting-time process, not a single pass |
-| $H_{\mathrm{ok}},\ B$ | the **accepting halts** $H_{\mathrm{ok}}\subseteq H$ (correct, successful terminals) and the **bad set** $B$ — unsafe states for reach-avoid ($B\cap H_{\mathrm{ok}}=\varnothing$), *separate* from $H$ and possibly entered mid-run before any halt |
-
-The structural fact that earns the word *controller*: $\pi$, $\gamma$, $\rho$, and the halt test are **deterministic** (and the readout $R$ too, where the transformer specialization is in play), so $\mathcal{H}$ injects no randomness of its own. Every coin is inherited from $M_W$ and $Q_E$. This split — deterministic code around a stochastic oracle — wears two names. In control-theory terms it is **controller vs. plant**: the controller is those deterministic maps; the **plant** is the learned kernel $M_W$, *plant* in its exact sense — the element with its own dynamics you steer but do not author. In engineering terms it is **shell vs. plant**: the **shell** is the entire deterministic outer harness — the control logic *plus* the external memory and tools it administers (the files, databases, vector stores below) — of which the controller is just the control-logic slice. So *shell : plant :: the part you write : the part you don't*; $M_W$ is the only thing on the right, while the environment $Q_E$ is the world the actions meet — a disturbance into the loop, not the plant. (A reader from reinforcement learning or classical control will make the opposite assignment — environment as plant, policy as controller; the inversion is deliberate: in harness engineering the element you are trying to make behave is the model, and the world is what pushes back on the attempt.) This determinism is *conditional* — on versioned code, configuration, model endpoint, and tool interfaces, and on *single-run sequencing*: concurrent runs sharing authorization state re-open a gap the per-run object cannot see (taken up under *Gate placement* in the appendix); any retry, timeout, race, or randomized routing that escapes that conditioning must be modeled explicitly as part of $Q_E$ or the controller, not waved away. The displayed $M_W(c)$ likewise freezes endpoint, version, and sampler; a routing or config change is a state-indexed kernel $M_{\kappa(s)}$ or folds into $K_C$ — the kernel must not silently depend on config the table places in $s$. More generally, control may itself be stochastic — a controller kernel $K_C(s, dc)$ over routing, sampled retries, ensemble votes, learned routers — of which the deterministic $\pi, \gamma, \rho, H$ are the Dirac special case. That case is the one worth wanting: it localizes every coin to $M_W$ and $Q_E$ and keeps the controller/plant split clean. Where control is genuinely stochastic the split does not break, it widens — fold $K_C$ into the kernel and the certificate quantifies over its randomness too. But the guarantees do not soften uniformly, and the component-to-guarantee map is worth stating because it says exactly what may be learned without loss. A learned $\pi$ — retrieval, reranking, summarization inside the lowering — costs only *semantic adequacy*, under one factorization: $\pi$ splits into a deterministic **never-lower filter** — the redaction that keeps credentials and other principals' data out of $\mathcal{C}$ — composed with learned selection, and only the selection may soften, or the confidentiality floor of the invariants note becomes a probability. With the filter Dirac, no-unauthorized-effect is $\gamma$'s property alone, and the reach-avoid certificate survives too, so long as the provenance partition of *The limit* holds. A learned $\gamma$ or $\rho$ costs the thing itself — authorization and ledger integrity are exactly the properties that must stay Dirac, or "no unauthorized effect" and "the ledger is what happened" become probabilities. So the minimal deterministic core is $\{\gamma, \rho, H\}$ plus $\pi$'s never-lower filter: the rest of $\pi$ may soften into a kernel and the harness bends without breaking — fortunate, because every deployed $\pi$ already has learned kernels inside it.
-
-## Why this shape
-
-$$f(x) \;\longrightarrow\; x = f(x;\,W) \;\longrightarrow\; f(x)$$
-
-Classical software, inverted into latent geometry, then re-wrapped in classical software. The harness **re-imposes the determinism the model dissolved**: $\pi, \gamma, \rho$, and the halt test ($H$) are ordinary designed code — a controller — whose primitive operand happens to be a stochastic oracle. That closure is why a compiler is the right mental model (staged deterministic software ports cleanly) and exactly why the analogy breaks (a compiler's primitive operation was never a coin). **The harness is the half you can reason about classically, sitting on top of the half you cannot.**
-
-## The limit, stated honestly
-
-**Raw halting is cheap; correct halting is not.** A **certificate** is a *witness*: a checkable object — here a Lyapunov/drift function $V \ge 0$ — that *provably* satisfies a condition entailing the guarantee, through a standard supermartingale / optional-stopping theorem (the target picks the condition: drift toward $H$ for halting, a barrier for safety, reach-avoid for success). It is not the property, only an object cheap to check and hard to produce. One word then carries two senses, and the seam between them is what this section is about: the **proven** certificate, a $V$ whose bound actually holds; and the **measured** surrogate you fall back on when the architecture exhibits none — a candidate $\hat V$ with a sampled slack $\delta$, a *calibrated risk metric, not a certificate* until that bound is proven (or held to a high-confidence worst case). The gap between the two is the whole honest-limit argument. A deterministic budget — augment $s$ with a counter $k$ decremented each outer step, halting at $k=0$ — makes $V(s)=k$ a trivial Lyapunov certificate for *halting*, so the architecture does not lack a halting guarantee by construction. What it lacks for free is a certificate of *correct, safe, successful* halting under the learned dynamics. The un-budgeted halting object is still worth stating, since it shows where even the easy guarantee comes from: a certificate would be *sufficient* for almost-sure halting with bounded expected runtime — a $V \ge 0$ with
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-$$\mathbb{E}[\,V(s_{n+1}) \mid s_n\,] \le V(s_n) - \varepsilon \quad\text{off the halt set}$$
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-bounds $\mathbb{E}[\tau_H] \le V(s_0)/\varepsilon$ under the usual integrability and optional-stopping conditions. Nothing in the harness hands you such a $V$ the way a compiler's structure does: a specific compiler analysis gets its $V$ for free where a finite-height lattice *is* a well-founded descent — termination by construction *for that analysis*, not for a whole compiler — and the harness has no analogous built-in descent for its model/environment loop.
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-But the relevant $V$ is not *absent* — and this is the subtlety the blunt phrasing erased. The minimal certificate exists and is **forced**: it is the expected halting time itself,
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-$$V^\star(s) = \mathbb{E}[\,\tau_H \mid s_0 = s\,],$$
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-finite wherever $H$ is reached in finite expected time — the domain $\{s : \mathbb{E}_s[\tau_H] < \infty\}$ — though note this $V^\star$ certifies *halting* (reaching the terminal set $H$ at all), not *correct* halting; the stronger object, the expected time to an accepting $H_{\mathrm{ok}} \subseteq H$, is $V^\star_{\mathrm{ok}}$, taken up at the second wall below. So the honest claim splits in two: the architecture provides no certificate *for free*, and the one that exists is — **conjecturally, not as a theorem** — a functional of $W$ and the environment that does not compress below model scale. The conjecture needs scoping, because the per-step drift splits by coordinate (made precise below) and the shell's contribution is an exact, designed descent of low description complexity *by construction* — so whatever is incompressible is not the shell's part but the **plant's**, the contribution $M_W$ supplies. And even there it is conjecture with a live counter-possibility, not foregone hardness: $V^\star$ is a *coarse* functional — one scalar, an expected hitting time, not the full output law — and coarse functionals of complicated kernels are sometimes cheap (absorbing chains with sparse transition structure have tractable expected hitting times over enormous state spaces). So the honest form is conditional: *if* the plant's contribution to the drift admits no certificate of description length materially below $|W|$, then ours is as hard as the dynamics — but that antecedent is the unproven part, and the flat phrasing of an earlier draft ("the dynamics it certifies *are* the weights") overstated it by treating a coarse hitting-time functional as if it carried the whole distribution. The compiler's certificate is structurally trivial; ours is *plausibly* as hard as the plant dynamics, though whether useful compressed certificates exist — for the coarse hitting-time functional, or for structured sub-tasks — is open. This is the quantitative form of *you can borrow how LLVM is built — not, in general, why it is correct.*
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-So you never compute $V^\star$. You pick a candidate $\hat V$ and **estimate its drift slack**
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-$$\delta = \sup_{s \notin H}\Big(\mathbb{E}[\,\hat V(s_{1}) \mid s_0 = s\,] - \hat V(s) + \varepsilon\Big).$$
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-The status of $\delta$ has to be stated carefully, because it is easy to oversell. If you can establish a *high-confidence upper bound* on the true worst-case slack and it is $\le 0$, optional stopping hands you a real, conservative certificate, $\mathbb{E}[\tau_H] \le \hat V(s_0)/\varepsilon$. But an *empirical* $\delta$ estimated from sampled states is **not** a certificate: a measured $\delta > 0$ may mean the candidate $\hat V$ is poor, the sampled distribution missed rare failures, the supremum was never attained in-sample, the process is non-stationary, or the state abstraction is not Markov. So $\delta$ is **the number on the dashboard** — a *calibrated risk metric*, the evaluable surrogate for a guarantee the geometry will not give you, and a genuine bound only once it is statistically controlled against rare-event and adversarial tests. A weaker result is still useful: a true bound $\delta \le \bar\delta < \varepsilon$ (rather than $\le 0$) leaves descent intact with effective slack $\varepsilon - \bar\delta$ and $\mathbb{E}_s[\tau_H] \le \hat V(s)/(\varepsilon - \bar\delta)$. And the empirical quantity is distributional, not a supremum — write $\delta_{\nu}$ for drift averaged over a sampled $\nu$, reserving $\delta_{\sup}$ for the worst-case bound; only $\delta_{\sup}$ certifies. Its empirical noise floor and residual risk are driven by the measure $\mu(D)$ of the divergent region $D=\{s:\mathbb{E}_s[\tau_H]=\infty\}$ (states from which $H$ is not reached in finite expected time, under the reference/sampling measure $\mu$), the coverage of the sampled state distribution, and the hitting-time variance $\mathrm{Var}[\tau_H]$ — properties of the trained weights, the environment, and the evaluation distribution, knowable only a posteriori.
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-> For an agent *meant* to run forever — a coordinator, a daemon — halting is the wrong target, and $V^\star = \infty$ is the spec, not a pathology. The same drift theory then certifies **recurrence to a ready-state** instead of absorption to a halt-set. The object changes; the missing certificate does not. Safety changes shape too: it is no longer the one-shot $\Pr_s(\tau_B=\infty)$ but a *per-cycle* hazard that compounds — if each ready-state-to-ready-state cycle touches $B$ with probability $q$, survival over $N$ cycles is $\approx (1-q)^N$, so a reassuring per-cycle $0.9999$ is $\approx 0.37$ over ten thousand cycles. The reach-avoid certificate for a daemon is therefore a bound on $q$ against the intended horizon — the safety twin of the regenerative expected time that replaces $V^\star_{\mathrm{ok}}$ for restarting specs.
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-And the consolation rests in part on an assumption the world violates — though less of it than it first seems. The supermartingale *bound* itself survives a nonstationary kernel, provided the conditional drift holds uniformly at every step; what genuinely needs a **time-homogeneous kernel** is $V^\star$ as a fixed function, the resolvent / fundamental-matrix identities, and the sampled-$\delta$ calibration (which assumes the very kernel it was measured on). But the environment $E$ is *part of* $T$, and the world is not stationary — worse, it can be **adversarial**, an attacker choosing the tool-output *policy* — a kernel over what tools return, not the realized draw — so as to break your descent. The drift condition then stops being a fixpoint question and becomes a **minimax** one,
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-$$\sup_{\alpha \in \Pi}\ \int_{\mathcal{Y}}\!\int_{\mathcal{E}} V\big(\rho(s, y, \gamma(s,y), e)\big)\, Q_E^{\alpha(s,y)}\big(s, \gamma(s,y), de\big)\; M_W(\pi(s), dy) \;\le\; V(s) - \varepsilon,$$
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-a descent that must hold in expectation over the model's own output $y$ *and* even when the adversary picks the worst admissible environment policy $\alpha(s,y)$ from the class $\Pi$ of policies the environment genuinely permits — every $\alpha\in\Pi$ must still respect rejection, $\gamma(s,y)=\bot \Rightarrow Q_E^{\alpha}(s,\bot,\cdot)=\delta_{e_0}$, or the adversary resurrects side effects the gate refused. Well-posedness is a frontier caveat of its own: for $\sup_{\alpha\in\Pi}$ to be *attained* rather than merely defined, $\Pi$ needs structure — measurability of $\alpha\mapsto Q_E^{\alpha}$, compactness of the per-state admissible set, or a measurable-selection theorem furnishing a worst-case $\alpha$ — and "respects rejection" is a *constraint* on $\Pi$, not that existence argument; on a general state space the sup may have no maximizer, in which case the certificate quantifies over a maximizing sequence rather than a single adversary. A $V$ that certifies halting against a benign world is defeated by an adversarial one, and the measured $\delta$ bounds only the $Q_E$ you *sampled*, never the policy an attacker will choose.
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-**This is the formal home of prompt injection** — not "the model did something bad," but the environment optimized to bend your dynamics. And the target is not merely non-halting: injection steers toward a **bad set** $B$ — wrong acceptance, data exfiltration, unauthorized tool use, privilege escalation, irreversible side effects — so security is a **reach-avoid** problem, not a liveness one.
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-Here two reliability objects must be kept apart, because under absorbing refusal every naive intermediate collapses into one of them:
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-$$p_{\mathrm{succ}}(s) = \Pr_s\big(\tau_{H_{\mathrm{ok}}} < \tau_F\big), \quad F = B \cup (H \setminus H_{\mathrm{ok}}), \qquad\qquad p_{\mathrm{safe}}(s) = \Pr_s\big(\tau_B = \infty\big).$$
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-**Success** is reaching a correct halt before *any* failure — a safe refusal counts *against* it. **Safety** is never entering the bad set at all — a safe refusal *satisfies* it. These genuinely differ on any run that avoids $B$ without reaching $H_{\mathrm{ok}}$ ($p_{\mathrm{succ}}$ scores $0$, $p_{\mathrm{safe}}$ scores $1$): safe refusals, and — absent almost-sure absorption into $H\cup B$ — safe non-halting or endless safe retry. The tempting middle form $\Pr_s(\tau_{H_{\mathrm{ok}}} < \tau_B)$ is *not* a third object, by a two-line case analysis: for it to differ from $p_{\mathrm{succ}}$, a run would need $\tau_F < \tau_{H_{\mathrm{ok}}} < \tau_B$ — a non-accepting terminal hit strictly before success, then success anyway — which forces *exiting* $H \setminus H_{\mathrm{ok}}$, impossible while $H$ is absorbing. Note what does **not** re-separate them: within-run fail-closed retries (the non-terminal fail-closed of the definition) never touch $F$ at all — the rejected proposal lands in a safe *non-terminal* state — so a refuse-retry-succeed run scores $1$ on both forms, and the coincidence survives any amount of retrying. The middle form becomes a genuine third object only when the two hitting times can genuinely part ways: under **restarting specs**, where an owner re-launches out of a refusal terminal and the absorbency of $H \setminus H_{\mathrm{ok}}$ is deliberately dropped (the regenerative reading the daemon note above already contemplates) — no bookkeeping needed, since hitting times record *visits*, not occupancy, so the relaunched run's $\tau_F$ is already finite — or under a failure set that counts refusal *events* accumulated in $s$, $F' = B \cup (H \setminus H_{\mathrm{ok}}) \cup \{\mathsf{refusals} \ge 1\}$, which separates the forms even within a single run. In the restart case a run may halt refused, restart, and still reach $H_{\mathrm{ok}}$ before $B$: the middle form credits it; $p_{\mathrm{succ}}$, measured against the refusal it passed through, does not. Safety is certified by a barrier / avoidance certificate for $B$; success needs that plus the reach part — a hitting-time drift toward $H_{\mathrm{ok}}$. Fail-closed control is the disturbance-rejection margin for both, but split by reversibility: the gate $\gamma$ caps how far an adversarial world reaches into *side effects* and widens the gap to $B$ (it is the margin for the irreversible part), while $\rho$ validates the response and folds back, rejecting bad state after the action has run — which cannot undo an authorized side effect. In this language, security is robustness of the reach-avoid certificate.
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-And injection is not confined to the post-model kernel $Q_E$: poisoned retrieval, prompt-injected pages, and malicious tool metadata enter through $\pi$'s *inputs*, before generation — so the adversary lives wherever untrusted content enters the state/context-construction pipeline, which is why input provenance and the gate $\gamma$ both matter, not post-hoc verification alone. And provenance is a *precondition* of the certificate, not just an entry point to police: partition $s$ into a **control-determining** part — plan, intent, what is authorized next, the coordinates $\pi$ lowers and $\gamma$ checks — and a **data** part — tool values, retrieved text, the bytes of $e$. Reach-avoid presupposes untrusted effects touch only the latter; let $\rho$ fold attacker-controlled $e$ into the control part and the structural-intent check validates against a plan the adversary already bent, collapsing $\gamma$ to the strength of $\rho$'s validation. So the claim is conditional — reach-avoid *given* control flow provenance-isolated from untrusted data, the isolation that makes provable security possible (the content of CaMeL's control/data-flow separation, untrusted data filling typed values but never the program), a structural property the harness supplies and $\rho$ cannot recover after the fact. The partition then forces a question the isolation rule alone cannot answer: *something* must be permitted to write the control-determining part mid-run — or no plan could be steered, no approval granted, no scope widened — and naming that something is part of the object. It is the **trusted principal**: the owner of the run. An approval request is an ordinary authorized action through $\gamma$ into $Q_E$ — ask-the-owner is a tool call to the one counterparty you trust — and its response is the *single* class of $e$ that $\rho$ may fold into control coordinates; every other $e$ folds into data. This is not an exception eroding the partition but the partition completed: a provenance *lattice* with exactly one writer at the top, which is what trusted means — and the appendix's gate-placement entry derives the matching rule for *learned* verdicts, which may never stand in this writer's stead. One distinction keeps the lattice from outlawing the loop it governs. Control-determining is not one rank but two: **authority** — grants, scopes, budgets, what the principal has permitted — which only the top writer widens; and the **plan**, which the model rewrites at every fold of $y$, because replanning *is* the harness. The plan is a *middle* rank: written through the gated fold of the model's own output — the channel the minimax descent above already prices — never directly by an effect, and never a source of widened authority. The rank is also the field's live design axis: pin plan-writes to the top-derived rank — the plan fixed from the trusted query before any untrusted read, which is CaMeL's move — and provable security follows exactly there; let the middle rank replan interactively and you pay the adversarial price the certificate quantifies. A corollary with teeth: a dedicated planning component is rank-neutral — its writes land in the same middle rank as the model replanning inline — so it changes no guarantee and lives or dies on measured capability alone; in general, sub-components that only write middle-rank state are priced by evals, not by the certificate, which prices only rank crossings, gates, and $\Pi$. (For $B$ to capture irreversible side effects rather than only states, the side-effect ledger must itself live in $\mathcal{S}$, and the response $e$ must be an *effect record* carrying the ledger outcome — not just API bytes — since only $\rho$ writes external effects into $s$.)
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-There is a **second wall, orthogonal to the first.** It binds not the full harness state $\mathcal{S}$ but the **model-visible working memory** $\mathcal{C} = \mathcal{V}^{\le L}$ — bounded by the context length $L$. That bound is *not* the incompressibility of $V^\star$ (a fact about the parameters $W$ — the **dictionary**, fixed at training); it is a fact about the inner kernel's **working memory** (the $L\times d$ residual stream — the **desk**). $\mathcal{S}$ itself may be far richer — files, databases, vector stores, durable memory, queues — but that is *external* memory the shell supplies, and the distinction is the point: every external read still passes *through* the $\le L$ window to touch computation, so external stores extend addressable storage without extending the per-pass resident set. The shell can page; the plant cannot grow its desk. (What follows is heuristic, not definition-level: the complexity claims turn on depth, precision, and architecture, and belong with the frontier, not the core.) The tape picture comes from the autoregressive structure alone and needs no complexity theorem: each step reads a bounded window and writes one token, so **the context window is the tape, the autoregressive loop is the read/write head**, and — in the variable-$L$, fixed-precision idealization — the model-mediated inner computation behaves like a linear-bounded automaton, its reachable fixpoints capped by space-$O(L)$ computability (chain-of-thought is register-spilling onto that tape). Separately, and more weakly, there is a *per-pass* expressivity bound: under the standard fixed-depth, log-precision theoretical model a single forward pass is in constant-depth $\mathsf{TC}^0$ — *suggestive* for deployed models, not literal (real models use fixed-point precision and depth that grows with scale, and log-depth variants escape parts of it). These are different resources — the first bounds the *space* the loop addresses, the second the *depth* of one step — and only the space bound carries the $L$-wall; chaining them (one pass buys bounded depth, *therefore* the loop is space-$O(L)$) would be a non-sequitur, since per-step depth says nothing about the length of the tape the loop runs on. This is a *second* obstruction beside divergence, and it concerns *success*, not raw halting. Split the terminal set: let $H$ be any halt state (including fail-closed refusal) and $H_{\mathrm{ok}} \subseteq H$ the successful, accepting halts, with $V^\star_{\mathrm{ok}}(s) = \mathbb{E}[\tau_{H_{\mathrm{ok}}} \mid s_0 = s]$ taken on the process where $H \setminus H_{\mathrm{ok}}$ — halting wrong, refusing, failing closed — is *absorbing failure*, so a run that fails closed before acceptance has infinite accepting hitting time unless the spec explicitly restarts it — hence unconditional $V^\star_{\mathrm{ok}}$ is infinite whenever pre-acceptance failure has positive probability, which is why the workable reliability object is the success probability $p_{\mathrm{succ}}$ (above) or, for restarting specs, the regenerative expected time. Then $U_{\mathcal{H}}(L)$ — harness-relative, since the shell's decompositions and verified tools determine what can be paged or outsourced — is the set of tasks whose **irreducible per-step model-mediated working set** exceeds $L$ — not tasks whose *data* exceeds $L$ (those the shell can page), and not work that can be **discharged to a verified external tool** (a solver, interpreter, or compiler computes off-context). For a task in $U_{\mathcal{H}}(L)$ the raw chain may still hit $H$ — by failing closed, refusing, or returning a wrong answer — so $V^\star = \mathbb{E}[\tau_H \mid s]$ stays perfectly well-defined; what blows up is $V^\star_{\mathrm{ok}}$, the expected time to a *correct* halt, which is infinite under a formal success predicate, or undefined if no such predicate has been specified. The honest statement is about the finite-success domain, and it is *schematic* — a shape written in set notation, not a theorem, since $\mathrm{reachable}_{\mathcal{H}}(L)$ is exactly as informal as the working-set notion behind $U_{\mathcal{H}}(L)$: $\mathrm{dom}_{<\infty}(V^\star_{\mathrm{ok}}) \subseteq \mathrm{reachable}_{\mathcal{H}}(L) \setminus D$ — both the reachable set and the divergent set $D$ relative to $\mathcal{H}$. The two walls **trade** — *directionally, not as a literal exchange rate*: parametric memory $|W|$ and working memory $L$ press on the same budget along the pretraining-vs-inference-scaling axis, with no clean unit-for-unit substitution of one for the other. And the bound is inherent to *finite working memory*, not attention specifically: state-space models embody it differently (a fixed-size recurrent state rather than an $L$-window), and real attention's usable tape is shorter than $L$ (lost-in-the-middle).
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-## Where it cashes out
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-This is not ornament; the decomposition is load-bearing in the design.
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-- **$\pi$ is a progressively-lowered dialect stack** — raw input → intent → plan → tool-call → the neutral wire IR — each level a deterministic pass with its own verifier — *pass* and *verifier* meaning the shell's transformation and checking: the **content** entering at the plan level is plant-authored, middle-rank state (the two-rank note of *The limit*), which is exactly why that level carries a verifier at all. The per-step drift $r(s)=\mathbb{E}[\hat V(s_{n+1})\mid s]-\hat V(s)$ splits by coordinate, $r = r_{\text{shell}} + r_{\text{plant}} + r_{\text{env}}$ — presuming an additively separable $\hat V$, or a declared scheme attributing each step's drift to shell, plant, and environment coordinates: the shell term is an *exact, designed* descent — but per lowering pass, not per outer step: each pass strictly narrows the admissible-meaning set, a well-founded descent we build by hand, while the outer loop *revisits* — retry, replan, rewind are planned ascents of any reasonable $\hat V$, which the run-level certificate must absorb (a retry budget inside $\hat V$ is the standard device), so the shell's descent is well-founded in the nested, lexicographic sense rather than monotone along the run; the plant term ($M_W$) is the irreducible residue, and the environment term ($Q_E$) is the one an adversary controls — the very quantity the minimax descent must bound, which the old two-way split folded out of sight. **Syntactic soundness is free; semantic adequacy is not.** Relative to a formal schema and a correct validator, schemas, types, and boundary checks go into the shell at zero probabilistic cost; whether the lowered task still *means* what the user intended stays empirical, because natural language supplies no source-language standard to check against.
-- **$\rho$ is fail-closed verification** — validate at every boundary, never let malformed state flow downstream. The discipline transfers from compilers in *form*; the *teeth* do not, because a harness has no source-language standard — natural language is, in effect, all undefined behavior — there is no complete formal source-language semantics to check against. And $\rho$ must be *deterministic*: if verification is itself an LLM judge, that is another learned kernel call — it belongs in $M_W$, not in $\rho$. Where $\rho$ *repairs* rather than rejects — canonicalizing malformed input into valid shape — remember that repair is an authorization decision in disguise: each repair rule converts a reject into an accept on bytes the adversary chose, so it must be deterministic, meaning-narrowing, and its output re-validated as if it had arrived that way, or the repair pass is a bypass of the very boundary it serves.
-- **$\delta$, $\mu(D)$, $\mathrm{Var}[\tau_H]$ are what you measure** — not derive. You instrument the certificate precisely because the architecture does not hand it to you — you estimate it unless it is separately certified. And the meter is attack surface: if $\hat V$ is itself computed by a learned judge — a model scoring "progress" — the instrument is a kernel draw with the plant's own adversarial exposure, and an environment optimized to bend your dynamics will bend your *measurement* of them first; an injected page persuading the judge that work is advancing is precisely a divergence hidden from the dashboard built to catch it. The rule that put the LLM judge in $M_W$, not $\rho$, applies to instrumentation too: a learned $\hat V$ is part of the measured system, never a neutral meter.
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-## How this could be wrong
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-It is a hypothesis; here is what would falsify it. If the controller cannot in practice be kept deterministic — if real reliability demands stochastic control the plant can't absorb — the clean *deterministic* split is a fiction (the broader $K_C$ kernel model still holds, but loses its payoff: localizing every coin to the plant). If the drift slack $\delta$ turns out *not* to track real-world failure, the whole "measure the certificate you can't prove" program is empty. And if harnesses are simply better described some other way — not as nested stopped chains at all — then this is a pretty equation that merely happens to fit, an elegance we would be right to distrust.
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-First, handles — the load-bearing claims numbered, so the tests have addresses. **C1**: the harness is faithfully modeled as nested stopped Markov processes — the tuple, the outer $T$, the inner $M_W$. **C2**: the controller injects no randomness — every coin localizes to $M_W$ and $Q_E$. **C3**: fail-closed is a *gate* property — no effect crosses unvalidated, and rejection is a true no-op. **C4**: no certificate of correct halting comes free, and the measured slack $\delta$ is a calibrated risk metric, never a certificate. **C5** (conjecture): the minimal certificate $V^\star$ admits no representation materially below model scale. **C6**: two orthogonal walls — divergence ($\mu(D)$) and the $L$-bounded per-pass working set. **C7**: security is reach-avoid, certifiable only conditional on provenance isolation with a single trusted writer. **C8** (figure): certificate and interlingua are one object — already demoted by its own section, and exempt below accordingly.
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-Each claim is operational, not merely rhetorical:
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-- **State-ablation (C1 — the Markov claim).** Drop a variable from $s$ and check whether next-step transition statistics move. If they do, the abstraction was not Markov, and $s$ must be augmented until it is. (Passing is necessary, not sufficient — the test can falsify Markovity, not establish it.) The same probe pointed at $\pi$ tests lowering *sufficiency*: drop a coordinate from $c$ rather than $s$ and watch task success rather than transition statistics — context compaction lives or dies by exactly this.
-- **Controller-determinism audit (C2).** Re-run with model samples and tool outputs *held fixed*. Any residual variance is randomness the harness itself injected — clock reads are the classic leak (timestamps folded into $s$, wall-clock timeouts, cache expiries) — and must be folded into $Q_E$ or the controller, or the determinism claim is false.
-- **Drift calibration (C4).** Test whether $\hat V$-drift actually predicts failure, retry count, latency, or non-halting. One uncorrelated candidate kills that candidate, not the program; the program is empty only if candidates from the natural families — plan depth, open-obligation counts, budget burn, judge scores — *systematically* fail to track failure.
-- **Adversarial-environment test (C7).** Replace sampled $E$ with worst-case tool outputs, prompt-injected documents, poisoned tool metadata, malformed responses. The minimax descent must survive these, not merely the benign draw.
-- **Boundary-control ablation (C3, C7).** Compare prompt-only defenses against deterministic tool-call validation, capability checks, sandboxing, and fail-closed rejection at the gate $\gamma$. The hypothesis predicts the latter class dominates; if prompt-only defenses match it, the controller/plant security story is wrong.
-- **Readout-typing check (C1, C3).** Verify that $M_W$'s codomain is exactly what $\gamma$ consumes — especially under window truncation, where the final context need not hold the full transcript, so the output buffer and the gate's input must still agree.
-- **Certificate-compression search (C5).** The conjecture falsifies constructively: exhibit a $\hat V$ of description length far below $|W|$ whose worst-case slack is provably $\le 0$ over a nontrivial task domain. The text concedes the live counter-possibility — coarse hitting-time functionals of complicated kernels are sometimes cheap — so C5 stands only until someone cashes it.
-- **Working-set probe (C6).** Fix the shell and scale a task family's irreducible per-step working set past $L$, on tasks the shell can neither page nor discharge to a verified tool — anchoring "irreducible" in families with proven streaming or communication-complexity lower bounds, so the floor is someone else's theorem and a solved family cannot retreat to reducible-after-all. C6 predicts success collapses at the wall rather than degrading smoothly; a family solved reliably past it, without new shell decompositions, falsifies the second obstruction.
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-## Where this points (the frontier — least falsifiable, so flagged)
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-If $V^\star$ is incompressible only in *token* coordinates, the right change of coordinates might compress it — and that change of coordinates is a representation of meaning itself. Cost-to-go and representation co-determine each other: where the Koopman operator is diagonalizable — a point-spectrum idealization, since mixing dynamics carry continuous spectrum and admit no eigenbasis — the eigenbasis that linearizes the dynamics is also the one in which the certificate decomposes, and even then only for a $V$ in the span of those eigenfunctions; in reinforcement learning the discounted successor representation (Dayan 1993) is the resolvent $(I-\beta P)^{-1}$ — discount $\beta$, not the gate $\gamma$ — with $V$ a *linear readout* of it — and in the undiscounted, absorbing case that actually matches a stopped harness the same role is played, in the finite setting — and countable settings where the Neumann series converges — by the **fundamental matrix** $N = \sum_{n \ge 0} Q_{\mathrm{tr}}^{\,n}$ (written $(I - Q_{\mathrm{tr}})^{-1}$ when the inverse exists), where $Q_{\mathrm{tr}}$ is the sub-stochastic kernel restricted to $H^c$ (transitions before absorption at $H$) and the row sums $N\mathbf{1}$ *are* $V^\star$ on the finite-mean hitting domain; on general state spaces the same series is read as the potential (Green) operator $G$, with $G\mathbf{1} = V^\star$ wherever it converges. Each of these is a clean identity only for a fixed, time-homogeneous kernel — under a nonstationary $Q_{E,n}$ the resolvent and fundamental matrix dissolve into a time-ordered product, and under an *adaptive* adversary into a controlled / game-value operator, so what is identity in the stationary regime is analogy beyond it.
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-With that caveat, **the interlingua and the certificate are one object seen twice** — and the reason neither can be written in closed form is the same "all undefined behavior": no canonical lowering of meaning, hence no finite header-file for either. The only representation of both is $W$ — a band-limited, lossy compression of a scale-free meaning-space, sharp where the record is thick and blurred where it thinned. That a finite object renders an infinite one *lossily but honestly* — declaring its resolution, and where it is unsure — is not a lie; it is the most an $f(\cdot\,;W)$ can do. **The search for $V$ and the search for the interlingua are not two programs. They are one** — and the day either is written in closed form, so is the other, or we will have proven why neither can be. Read this as *figure*, not a lurking theorem: the only precise version would need the Koopman eigenbasis to fall on the very coordinates that lower meaning, and the mixing-spectrum caveat above already concedes that eigenbasis does not exist — which guts it. It is the least-defensible claim in this document, and it should announce that rather than imply a rigor it has not got.
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-## The loop
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-*This section opens an object rather than settling it; it is a sketch of where the same construction goes one level out, flagged as unfinished.*
-
-Everything above governs a run: a principal poses a task, the harness drives it to a halt, the principal reads the result. Step back once and there is a further loop that this document has treated as exogenous — the process that *decides what the next task is*, dispatches it, checks the result, remembers, and fires again. In one recent framing this is the difference between the harness (the scaffold the run executes in) and **the loop** (the recurring trigger–act–verify–stop cycle that keeps launching runs); the practitioner literature that named the loop treats it as a layer *above* the harness. The claim worth making here is that this is not a new kind of object at all — **it is the harness construction applied one level out**, with a run where a step used to be.
-
-Make the correspondence exact and the reuse is total. The outer loop has its own state $s^{\uparrow}$ (a backlog, a set of open goals, what has been tried and what passed), its own lowering $\pi^{\uparrow}$ (which goal to pursue now, and with what context), its own plant — but the outer plant's *proposals* are whole runs, so the inner harness plays the role of the outer environment kernel: dispatching a task is one draw of $Q_E^{\uparrow}$, and the run's terminal ledger is the effect record folded back by $\rho^{\uparrow}$. This is precisely the **composition** correspondence of the appendix read at the top level — a child harness is a $Q_E$ component — which is why the loop needs no primitive the tree did not already have. The daemon entry is the special case where the outer loop is a single long-lived agent recurring to a ready set; the general loop is a daemon whose excursions are themselves full harness runs, which is to say the outer-outer harness *is* a daemon over runs, and inherits that entry's whole ledger: renewal-reward rates, the accumulation that breaks regeneration, hygiene as renewal structure, authority frozen between owner contacts.
-
-What the level shift buys is that the invariants reappear with sharper teeth, because the outer plant is now *itself an agent*, not a token-sampler. The gate is still the load-bearing object: **who authorizes a run?** A loop that launches tasks against production is choosing actions with effects, and "the loop decided to refactor the auth module" is an authorized action or an ungated one — the trusted-principal lattice does not dissolve at the outer level, it recurses, and the autonomy corollary bites hardest here, since a loop whose principal has stepped away is exactly the "replace yourself as the prompter" regime, running on frozen authority against a moving world. The two walls recur too: the outer working set is the backlog the loop can actually hold coherent at once (context, one level up), and the outer certificate is the same absent object — no free proof that an unattended loop halts, converges, or stays out of $B$ over a long horizon, only the measured drift of *its* progress meter, carrying the same warning that a learned outer meter is attack surface. And the degenerate case is instructive in the document's own terms: the brute "same prompt in a while-loop until the spec passes" that the practitioner literature cites as the origin pattern is the outer harness with $\pi^{\uparrow}$ constant, $\gamma^{\uparrow}$ trivial, and verification outsourced to whatever the tests happen to check — the trivial-group harness of the signature-vs-strength note, one level up. It satisfies the outer signature and earns almost none of the outer guarantees, which is exactly why it works until it doesn't.
-
-What this section does *not* yet do: give the outer objects the same treatment the inner ones got — the precise outer analogue of fail-closed when the "action" is a whole run with partial effects, the right reach-avoid formulation when the bad set is a property of a *trajectory of runs* rather than one run, the outer verifier's own soundness, and whether the recursion terminates upward or is genuinely open (loops that launch loops). Those are the next rounds. The point of opening it now is only the structural claim: **the layers the practitioner stack separates — words, context, harness, loop — are, formally, one object at four scales**, and the guarantees this document is about live in the closure at every scale, never in any single layer alone.
-
----
-
-*The formula is the architecture; the corollary is why the architecture is hard. Both on the page — nothing hidden behind a tidy composition.*
-
-## Grounding
-
-Borrowed theorems are real; the framings are not — keep them separate. Some framings are nonetheless *corroborated* — independently reached from another field — a third grade, weaker than proof and noted last.
-
-**Proven (citable).** Foster–Lyapunov drift ⇒ positive recurrence + $\mathbb{E}[\tau]\le V(s_0)/\varepsilon$ (Foster 1953; Meyn & Tweedie, *Markov Chains and Stochastic Stability*, 1993) — positive recurrence needs the usual irreducibility/petite-set hypotheses, while the absorbing-halt case used here needs only the weaker supermartingale optional-stopping hitting-time bound. The minimal $V$ is the expected hitting time, by first-step analysis + optional stopping (Norris, *Markov Chains*, 1997). For an absorbing chain that expected hitting time is the row sum of the fundamental matrix $N=\sum_{n\ge0}Q_{\mathrm{tr}}^{\,n}$ (Kemeny & Snell, *Finite Markov Chains*, 1960), with the general-state analogue the potential (Green) operator (Revuz, *Markov Chains*, 1984). Koopman's linear-operator view of nonlinear dynamics is classical (Koopman 1931), and Lyapunov functions can be assembled from its eigenfunctions when the spectrum is suitable (Mauroy & Mezić, 2016). You certify a candidate $\hat V$ by a *proven* drift inequality rather than by deriving $V^\star$, and estimate it empirically only where a proof is out of reach — the empirical drift checks, it does not certify (neural-Lyapunov: Chang, Roohi & Gao, *Neural Lyapunov Control*, NeurIPS 2019, arXiv:2005.00611). A classical monotone data-flow analysis gets its $V$ for free because a finite-height lattice is a well-founded descent (Kildall, POPL 1973). The gate-a-plant architecture itself is classical: supervisory control theory synthesizes a deterministic supervisor that disables controllable events of a plant it does not author, with the supremal controllable sublanguage as the largest admissible behavior (Ramadge & Wonham, SIAM J. Control and Optimization, 1987) — $\gamma$ is that supervisor, with a learned stochastic plant on general state spaces; the same theory's controllability condition (specifications must be closed under *uncontrollable* events) and its nonblocking requirement are the proven ancestors of gate-early-on-irreversibles and of the always-enabled escape the appendix requires behind any learned veto. Covert-channel discipline — identify the channel, measure its bandwidth in bits, audit what cannot be closed — is the TCSEC lineage (*A Guide to Understanding Covert Channel Analysis of Trusted Systems*, NCSC-TG-030, 1993). The successor representation is Dayan (*Improving Generalization for Temporal Difference Learning: The Successor Representation*, Neural Computation 1993). Dialect-stack architecture: MLIR (Lattner et al., CGO 2021, arXiv:2002.11054); learned pass-ordering: MLGO (Trofin et al., arXiv:2101.04808). Single-pass low-depth expressivity: log-precision transformers are simulable by constant-depth logspace-uniform threshold circuits ($\mathsf{TC}^0$) (Merrill & Sabharwal, *The Parallelism Tradeoff: Limitations of Log-Precision Transformers*, TACL 2023) — fixed/constant precision is a stronger restriction, added autoregressive steps escape it (Merrill & Sabharwal, *The Expressive Power of Transformers with Chain of Thought*, ICLR 2024), and growing precision changes the picture, so the bound is suggestive for deployed models, not literal.
-
-**Asserted (ours — not theorems).** That the harness is best modeled as nested stopped chains; that $V^\star$ is incompressible (no compression theorem); that "no lattice for $f(\cdot\,;W)$" means none is *known*, not that none exists; and everything under *Where this points* and *The loop* — including the Koopman/certificate co-determination, which is well-posed only under the spectral assumptions noted there, and the interlingua/certificate identification; and the design rules read off the objects rather than proven from them — the single-trusted-writer completion of the provenance partition, the narrow-only rule for learned checks and its influence-side twin (verdict payloads to the plant selected, never generated), the composition law of the appendix. These organize the design; they are not results.
-
-**Converged-upon (independently arrived at, from other framings).** The *Asserted* claims above are ours but not ours alone; several are reached independently, from starting points unconnected to this framing — which is the corroboration a definition earns: not a chorus of agreement (the systems below often disagree on method and goal), but that work approaching from capabilities, reinforcement learning, control theory, software architecture, and language-modeling theory each lands on a piece of the same object. That the **deterministic controller, not the model, carries the guarantee** is reached from four directions — capability and information-flow control (CaMeL: Debenedetti et al., *Defeating Prompt Injections by Design*, arXiv:2503.18813, securing the agent even when the underlying model is susceptible); reinforcement learning (shielding: Alshiekh et al., *Safe Reinforcement Learning via Shielding*, AAAI 2018, arXiv:1708.08611 — a deterministic reactive shield filtering a learned policy's actions against a temporal-logic specification); control theory (*Stable Agentic Control*, arXiv:2605.03034, enforcing finite action catalogs at the tool-output interface under a Lyapunov input-to-state-stability certificate against adversarial disturbance); and software architecture (the plan-then-execute / control-flow-integrity line, e.g. Beurer-Kellner et al., *Design Patterns for Securing LLM Agents against Prompt Injections*, arXiv:2506.08837). The **certified-vs-measured split** is reached from the construction side (CaMeL's provable security) and, independently, from the destruction side (guardrail-evasion results — *Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails*, arXiv:2504.11168, the v1 title — later versions retitle it; *No Free Lunch with Guardrails*, arXiv:2504.00441), with verification-oriented work stating it as the motivating gap (*Towards Verifiably Safe Tool Use for LLM Agents*, arXiv:2601.08012; VeriGuard, arXiv:2510.05156): a learned safeguard raises the odds of detection but cannot guarantee safety against a persistent attacker. The **inner readout as a composition of Markov kernels** is independently formalized in language-modeling theory — the autoregressive step as kernel composition in the category $\mathsf{Stoch}$ (*A Markov Categorical Framework for Language Modeling*, arXiv:2507.19247), and the broader "LLMs as Markov chains" line — though that work models the inner kernel alone and never closes it into an agentic loop, which is exactly the seam this definition adds. That **provenance shrinks the admissible adversary** is reached by datamarking / spotlighting (Hines et al., arXiv:2403.14720, 2024) and by CaMeL's data/control-flow separation; and a systematization of prompt injection against agentic coding assistants reaches the same verdict from the attack side — mitigation must be *architectural*, not model-level (*Prompt Injection Attacks on Agentic Coding Assistants*, arXiv:2601.17548); the sharper open problem this object is built to answer — formally specify the trust boundaries, then verify implementations respect them — is our phrasing of where that verdict points, not the paper's. Two convergences are weaker, and flagged. The **reach-avoid hitting-time certificate** is the independently developed reach-avoid supermartingale (RASM, arXiv:2210.05308, AAAI 2023) and stochastic Lyapunov–barrier apparatus, and its *hardness* is corroborated — expected-stopping-time problems for Markov chains are inter-reducible with the Positivity problem, a relative of the Skolem problem (Chatterjee & Doyen, *Stochastic Processes with Expected Stopping Time*, arXiv:2104.07278) — but this supports generic hardness only, not the specific incompressibility-at-$|W|$ conjecture, which remains ours and unproven. And **injection as an adversarial policy** is corroborated as a minimax game in the *detection* setting (DataSentinel: Liu et al., *A Game-Theoretic Detection of Prompt Injection Attacks*, arXiv:2504.11358) and as adversarial-disturbance robustness (*Stable Agentic Control*, above) — but no prior work assembles it as reach-avoid over the tool-output kernel with the gate as the irreversibility margin; here the relation is adjacency, not convergence.
-
----
-
-## Appendix: model implementation
-
-The definition is deliberately abstract: $\pi, \gamma, Q_E, \rho$ are *roles*, not code, and a deployed harness forces concerns the abstract object is silent on. This appendix does not re-derive the implementation; it establishes a **pattern** — take a hard practical concern, locate it in the objects already defined, and read off the discipline they imply rather than inventing new machinery. Cancellation is the worked example, chosen because it is where the silence bites hardest and because the answer falls entirely out of objects already on the page.
-
-**Cancellation.** An owner stops a running agent mid-flight — worst across a task-agent tree. The naive reading is "stop and undo," but the irreversibility point forbids it: $\gamma$ is the last line before irreversible effects, and $\rho$ can reject a response but cannot undo an authorized action. So cancellation is not *making it not have happened*; it is a disciplined stop with a defined disposition for what is already irreversible.
-
-A cancel is a signal, so by the Markov requirement it lives in $s$. The gate then closes on it: while the cancel flag is live, $\gamma(s,y)=\bot$ for every proposal. That is the entire "block the pending actions" requirement — they hit the gate already built and bounce into the no-op, with no new blocking machinery — and it forecloses all *future* turns at once, since $\pi$ lowers nothing new that $\gamma$ will pass. After the signal is observed, **no action crosses $\gamma$.**
-
-The hard half is the action already *past* $\gamma$, executing in $Q_E$, whose effect is landing or has landed. Here the disposition is a trinary on the kind of $Q_E$ you authorized. If the tool is **cancellable**, propagate the cancel into it; it aborts and reports a true end-state (committed, rolled-back, or partial), and $\rho$ folds the real disposition. If it is **bounded** — drainable in acceptable time — simply wait and record the real $e$. If it is **opaque and unbounded** — a bash invocation that may itself be a harness, an environment you hold no handle into — you cannot stop the effect, only your *wait* for it: the controller fabricates $e$, a synthetic "cancelled" response, and folds it through $\rho$ so the loop can reach a terminal.
-
-That synthetic result is the subtle case, and the load-bearing rule is this: $\rho$ may fabricate the *acknowledgment* but must not fabricate the *outcome*. A synthetic "cancelled, no effect" entry reads downstream as *the action did not happen* — and will cause a double-send exactly as readily as a dropped record causes an orphan. Same bug, opposite sign. An outcome you did not observe is $\mathsf{unknown}$, never $\mathsf{none}$: the cancelled agent never saw whether bash sent the email, and the ledger must say exactly that. (This is why $e$ must be an effect record and the ledger must live in $s$ — the fabricated entry is still a ledger write, and its value is what a later reader acts on.)
-
-The run halts into $H_{\mathrm{cancel}} \subseteq H \setminus H_{\mathrm{ok}}$ — a distinguished terminal, non-accepting but *safe* (outside $B$), refining the deliberately coarse $H \setminus H_{\mathrm{ok}}$ of the definition (the body leaves that set unenumerated; the appendix is where its subclasses earn names) — with a specific postcondition: no action crossed $\gamma$ after the cancel was observed, every in-flight action was drained to its real disposition or recorded $\mathsf{unknown}$, and the ledger is consistent. It is worth separating from refusal and from a wrong answer precisely because that guarantee is its own.
-
-Cancellation must be **cooperative, not preemptive.** The owner writes the cancel into the child's $s$; the child observes it at its next $\gamma$ check. The guarantee is therefore "no new action after the cancel is *observed*," not "after it is *sent*" — a child may authorize one more action in the gap, which simply drains like any other in-flight. Preemptive cancellation — killing the child mid-$Q_E$ — is exactly what manufactures $\mathsf{unknown}$ state at scale, because it destroys the record of whether the action landed. And the propagation is **recursive**: cancel flows down the subtree, each level closes its gate at its next check and drains, and the owner's cancel "completes" only when the subtree has drained. A single agent's drain is its own in-flight action; a tree's is the whole subtree reaching safe points cooperatively — the irreversibility problem stacked on a distributed-coordination one, which is why task agents are the worst case.
-
-Compensation lives **outside** the cancelled agent. A completed-but-unwanted effect cannot be undone by the agent that caused it — its gate is closed — so a compensating, saga-style action is the *owner's* job, issued after $H_{\mathrm{cancel}}$ and reading the child's ledger to decide what to reverse or annotate. It must be the owner's, because the cancelled child cannot even know whether compensation is needed: it never observed the outcome. The owner inherits the $\mathsf{unknown}$ and any still-live orphan process, and reconciliation is its responsibility.
-
-Finally, the part that shapes the tool rather than the document. Opaque unbounded $Q_E$ is uncancellable because authorization happened at the wrong **granularity** — an unbounded environment crossed $\gamma$ on a single approval. The discipline the objects imply is therefore not "handle uncancellable tools better" but: *the gate should prefer bounded, instrumented $Q_E$ over opaque ones, so that cancellation and the ledger stay honest.* A bash invocation behind a wrapper that tracks its process tree and effects converts the third branch into the first. Sometimes opaque is the only option, and then $\mathsf{unknown}$ and owner-inherited orphans are the honest floor — but where the choice exists, that is the pressure cancellation semantics put on tooling.
-
-**Resume (involuntary stop).** Cancellation's twin, without the courtesy of a signal: a process crash, a lost node, a partition mid-$Q_E$. Nothing new is needed to say what recovery *is*. A crash is not a halt — $H$ is a property of the state, and the run never reached it; the chain merely stopped being *computed*, and resume computes it further, re-entering $T$ at the last durable $s$ (not the body's *restarting spec*, which exits a refusal terminal — here no terminal was ever reached). That sentence is the Markov requirement cashing out operationally: re-entry is sound exactly when $s$ was the whole state, so anything load-bearing that lived only in process memory — an in-flight buffer, a lock held in RAM, a plan revision not yet folded — is a state-ablation failure (*How this could be wrong*) discovered at the worst possible time. Durability of $s$ is not an implementation nicety; it is what the Markov claim *means* when the machine dies.
-
-The sharp part is an ordering the ledger's own trichotomy forces. The formal transition is atomic — $s_{n+1} = \rho(s, y, a, e)$ in one piece — and a crash lands *inside* it, so resume is really a statement about the implementation's refinement of that atom into micro-steps: authorize, journal, dispatch, collect, fold. The discipline is that every crash point must resume to one of exactly two honest readings — not-yet-dispatched ($\mathsf{none}$, safely retriable) or dispatched-unconfirmed ($\mathsf{unknown}$, the cancellation entry's third branch) — and **journal-before-dispatch** is what makes the boundary between them observable: on $\gamma$'s authorization the shell journals an open $(\mathsf{action\_id}, \mathsf{pending})$ entry into durable $s$ before $Q_E$ sees the action — the write is the shell's step bookkeeping, so $\gamma$ itself stays effect-free. Journal *after* dispatch and a crash in the gap leaves no record at all — resume reads silence as $\mathsf{none}$ and re-sends, the double-send bug again, produced by a power cut instead of a synthetic entry. Write-ahead intent is not imported from database lore; it is forced by "did not confirm" is not "did not happen."
-
-The same pressure lands on tooling from a second direction. The $\mathsf{action\_id}$ the record already carries is an idempotency key wherever the tool will accept one: re-dispatch after resume becomes safe, and $\mathsf{unknown}$ becomes *queryable* — ask the tool what it did with this key — rather than terminal. The disposition trinary returns with new labels: idempotent-or-queryable $Q_E$ resumes cleanly, bounded $Q_E$ drains, opaque $Q_E$ leaves $\mathsf{unknown}$ and owner-inherited orphans, the honest floor again. The wrapper that made bash cancellable makes it resumable; it was the same wrapper all along. And if durable $s$ itself is lost there is nothing to re-enter: the run collapses to a single $\mathsf{unknown}$ in its owner's ledger — degraded accounting, but never silent.
-
-**Gate placement (fail-closed, in practice).** The natural implementation question is whether fail-closed means tool-call parsing and validation must happen before any tool invocation. It does — with the division of labor the definition already fixed: *parsing* lives in the inner readout $R$, the syntactic, verified extraction into $\mathcal{Y}$ (what the readout-typing falsifier checks), and *authorization* lives in $\gamma$, which is a *gate* — validation is not merely *prior to* invocation, it is what *authorizes* it. The model emits text; $R$ has already extracted it into a typed proposal; $\gamma$ validates that proposal against $s$, and only a survivor becomes an authorized action that $Q_E$ may execute. The teeth are in $\gamma$ being the *sole* route from model text to execution: no path to a side effect that does not pass the gate. And the validation is not a fixed checklist but **any deterministic predicate over $s$ and $y$** — that domain is the point, since the gate sees all of the state and the full proposal, so anything computable from them is a legitimate authorization condition. Three kinds matter. *Syntactic* — well-formed, schema-conformant, the tool exists, arguments typed. *User authorization* — does the principal this run acts for hold the right to *this* operation on *this* resource in *this* context: a function of the auth scope, principal, and session carried in $s$ and the resource and operation named in $y$, and *dynamic* rather than a static capability table, since the same caller may be permitted now and not once a budget is spent or a lock held. *Structural intent* — does the call cohere with the plan and the lowered task already in $s$: a consistency check, not a mind-reading one.
-
-That last kind marks the seam where the gate stops being able to stay pure, and it is the same seam the rest of this document is built around. The *structural* slice of intent — does the action cohere with the plan in $s$ — is a deterministic predicate over $s$ and $y$, effect-free, and belongs in $\gamma$ without reservation. But whether an action matches what the user *actually meant*, in the full semantic sense, is exactly the thing the definition says cannot be checked: natural language is all undefined behavior, with no source-language standard to validate against. So a semantic intent check is a *learned* check, and an LLM judging "is this what they wanted" is a **stochastic kernel** — putting it inside $\gamma$ breaks the property the gate exists to hold, by the same move flagged for the fold-back verifier: a learned judge is a kernel, and belongs in $M_W$, not in a deterministic map. Semantic intent therefore does not live *in* the gate; it is a plant call — a separate authorize-the-proposal pass through $M_W$ whose output $\gamma$ then deterministically gates — or it is drift you measure, never a guarantee you hold. That nested call is not a new kind of thing: it is a mini-harness inside the gate's decision — a judge $M_W$, its own syntactic readout, its own deterministic gate — so its failure case answers itself, the inner gate fail-closing on an unparseable or low-confidence judgment exactly as the outer one does, because it *is* one. The object is **closed under this construction**: semantic gating is added by recursion, not by a new primitive. One constraint on the recursion is load-bearing enough to be a rule, because it is where this entry meets the provenance partition of the body: the judge's verdict is derived, through a learned kernel, from the very content an adversary may have bent, so folding it into authorization is exactly the fold the partition forbids — *unless the verdict can only cost capability*. **A learned check may narrow the deterministic admissible set; it must never widen it.** Judge-as-veto is safe by construction *in the authority lattice*: attacker influence over the judge can at worst manufacture a denial, a liveness cost the certificate already prices — its *dynamical* pricing, where a denial is an input and not a free no-op, is the caveat below. Judge-as-approver — a verdict granting what the deterministic checks alone would refuse, or standing in for the trusted principal's confirmation — lowers the certified floor to those deterministic checks alone; if avoiding $B$ depended on the deny the judge now withholds on the adversary's behalf, the certificate is gone. Only the trusted principal widens authorization; learned kernels only narrow it. (The recursion already obeys this: the mini-harness's inner gate fail-closes to $\bot$ — a deny — which is why the construction was safe to add at all.) The cost is real and worth stating — a judge pass is another full model call, with its latency and tokens — so it is a decision about *which* actions warrant it, not a free wrapper for all of them. The gate widens to every deterministic predicate over $s$ and $y$; it does not widen to the one predicate the document says is not deterministically checkable.
-
-One more caveat keeps the veto's pricing honest, because a denial is free only in the *authority* lattice. In the dynamics it is an input like any other — folded into $s$, lowered into the next context, conditioning the plant's next proposal — so adversarial influence over a judge is influence over the *trajectory*: a selection channel (deny all but the path toward $B$, and the admissible set the plant experiences is a maze the adversary curated), and a targeted-liveness channel against load-bearing actions — the unstated dual of judge-as-approver: if avoiding $B$ depends on the action the judge now denies on the adversary's behalf, fail-closed's safe landing is an obligation the design earns per-state, not an axiom it inherits. The supervisory ancestry supplies the discipline: a learned veto requires a **nonblocking escape it cannot disable** — an always-enabled route to the trusted principal behind a bounded retry budget, degrading to an always-enabled *safe halt* the veto cannot deny wherever the principal is unreachable (the autonomous phase of the daemon entry below) — or manufactured denials strand the run, or steer it. And whatever a verdict carries *back to the plant* is a second channel, wearing the judge's authority framing. Free prose there is *generative* influence — injected context, priced by the minimax descent, never by the veto's zero-widening — so the narrow-only rule has an influence-side twin: **a learned verdict's payload to the plant is selected, never generated** — controller-authored symbols, typed citations validated like any effect record, template text with no interpolated model prose — its per-verdict capacity a designed constant rather than a measured hope, and the residual selection pattern audited as the covert channel it is. The alphabet's bound is not a count but two thresholds: symbols become tokens when their semantics stop being controller-authored — the registry the trusted writer can actually audit is the real constant, and borrowed alphabets with upstream owners (a linter's rule registry) spend that budget well — and tokens become language when composition turns productive, arrangement carrying meaning the controller never wrote. Below both thresholds the alphabet may be as large as the audit budget affords. The strongest form dissolves the learned verdict into *scheduling*: the learned component chooses which deterministic checks to run — pass-ordering over verification passes — and the only verdicts that flow anywhere are what the oracles actually said, leaving attention misallocation, a liveness cost, as the entire attack surface.
-
-But "before any invocation" has to be read as *before any effect*, which is sharper than it sounds — and the reason is the irreversibility point above: you validate before execution because execution is what you cannot take back, so the real invariant is **no effect crosses $\gamma$ unvalidated**. That catches three cases the naive reading misses. *Reads are not free*: a read-only call is still an injection vector (it pulls attacker-controlled content into context) or an exfiltration vector (a request whose URL is the payload), so the gate authorizes the *call* regardless of whether it mutates. *Validation must not act*: a "validator" that resolves a call by hitting an API, expanding a template that fires a webhook, or evaluating an argument that runs code has collapsed validation into invocation, and the effect has already happened *inside* $\gamma$ — so $\gamma$ itself must be **effect-free**, pure and total over the proposal and the current $s$, with no network and no execution; if deciding validity *requires* a side effect, that side effect is itself an action and must go through the gate, recursively. *The output is an action too*: the user-visible response and any logging are effects — for model-authored text, emitted either as an authorized action through $\gamma$ or only after an accepted halt (shell-templated status on any halt is the controller speaking, not the model) — streaming raw tokens to a sink before $\gamma$ has cleared them is the same bug from the other end.
-
-So the property, tightest: $\gamma$ is a **pure, effect-free authorization that every model-proposed action — tool call, read, write, or final output — must pass before any effect occurs**, with "before" enforced structurally by the gate being the only route from model text to $Q_E$. The two failure modes to design against are a path from model output to a sink that bypasses the gate, and a $\gamma$ that is not effect-free, so that "validating" a call already rang the bell. And the boundary, so the property does not overpromise: $\gamma$ guarantees *no unauthorized effect* — pure code ordering, fully in your control — but not that an *authorized* effect is safe or correct; that is the plant's problem, and the reason $\rho$ and the reach-avoid certificate exist. Fail-closed is the floor — nothing executes that did not pass the gate — not the ceiling.
-
-There is a third failure mode beside those two, and it is not a code path but a credential. A tool process that holds standing authority — an environment full of long-lived secrets, a database connection with every grant, an agent identity the network trusts — does not need the model's proposal to act, and against it $\gamma$'s $\bot$ is a decision with nothing to enforce it. The gate *decides*; something must make the decision *binding*, and "no path from model output to a sink that bypasses the gate" must be read to include the non-code paths: ambient authority is a bypass provisioned before the run began. The discipline is **per-action capability**: the authorized action *carries* its grant — a scoped, short-lived credential minted at authorization, valid for this $\mathsf{action\_id}$, this resource, this operation — so that a tool holds, at any moment, exactly the authority of the actions the gate has passed it and nothing standing. In the language of the minimax certificate this is enforcement as $\Pi$-shaping: sandboxing, capability scoping, and network policy do not make the gate smarter — they shrink the class $\Pi$ of environment policies an adversary can choose from, so the worst case the certificate must survive gets structurally smaller. A gate in front of an omnipotent tool is a suggestion; the objects compose into a guarantee only when $Q_E$'s reachable effects are no larger than what crossed $\gamma$.
-
-And one more boundary, because "fully in your control" above is a *single-run* statement. $\gamma$ authorizes against the $s$ it read; the effect lands later, against a world that may have moved — the gate cannot freeze the world between authorization and commit, so the honest property is *no effect unauthorized relative to the $s$ at authorization time*, and closing that gap requires the tool itself to bind check to commit (compare-and-swap in $Q_E$), which relocates part of the enforcement past the gate and weakens "$\gamma$ is the last line" to "$\gamma$ plus a commit guard" for exactly the effects that need it. The same seam opens *between* runs: the dynamic authorization state the gate reads — budgets, quotas, locks — is, once shared, no single run's coordinate, and two children of a coordinator can each pass $\gamma$ against snapshots that jointly overdraw a budget neither exceeded alone. The cancellation entry's observed-not-sent gap ("a child may authorize one more action in the gap") is this phenomenon wearing one hat; the general statement is that cross-run authorization state needs its own serialization discipline — the ledger as the serialization point is the natural choice — and the per-run certificate is silent about it. TOCTOU is not a counterexample to the formalism; it is what the formalism says when you admit $s$ is a *view*.
-
-**Parallel proposals (the batch gate).** Models emit several tool calls in one turn, and the outer chain assumed one action per step. The repair is formally cheap: a batch is a single action in $\mathcal{A}$ that happens to be a set, $Q_E$ runs its elements concurrently, the interleaving's nondeterminism folds into $Q_E$ exactly as the determinism audit requires, and $\rho$ folds one effect record per element — $e$ is then a finite set of records — each keyed by its own $\mathsf{action\_id}$ — the record interface already supports partial outcomes (one element $\mathsf{committed}$, its sibling $\mathsf{unknown}$). One discipline survives the cheapness: **individually admissible actions can be jointly inadmissible.** Read-the-secret and post-to-the-web each pass a per-call check; the pair is an exfiltration channel — and two calls that each fit a budget jointly overdraw it, the cross-run overdraw of the previous entry reappearing *inside* one turn whenever elements are authorized independently. Since $\gamma$'s domain is any deterministic predicate over $s$ and $y$, joint authorization was licensed all along; the content here is only that the gate must take it — authorize the *set*, atomically, against one snapshot, with interaction predicates (source-to-sink flow between capability classes, summed resources) and not merely element predicates. The cost note is the judge's, transposed: full powerset reasoning is combinatorial, so a real gate checks declared interactions rather than every subset — a tractability trade to make explicitly, not by forgetting the batch was a set.
-
-**Effect records (what $\rho$ folds back).** The fold-back $\rho$ and the cancellation ledger both turn on the response $e$ being an *effect record* rather than raw API bytes — said twice in the body and pinned down nowhere, though it is the interface that makes both tractable. The minimal shape is small: roughly
-
-$$e = (\mathsf{tool\_id},\ \mathsf{action\_id},\ \mathsf{status},\ \mathsf{effects},\ \mathsf{time}), \quad \mathsf{status}\in\{\mathsf{committed},\mathsf{rolled\_back},\mathsf{partial},\mathsf{none},\mathsf{unknown}\}, \quad \mathsf{effects}=[(\mathsf{resource},\mathsf{op},\mathsf{reversible})].$$
-
-Each field is forced by something the body already needs. The $\mathsf{action\_id}$ lets $\rho$ match a response to the in-flight action $\gamma$ authorized, and lets the ledger say which actions are still open — without it the $\mathsf{unknown}$/orphan accounting has nothing to key on. The $\mathsf{status}$ must carry $\mathsf{unknown}$ as a value *distinct* from $\mathsf{committed}$ and from $\mathsf{none}$, because that distinction is the whole content of the cancellation ledger: "did not confirm" is not "did not happen" ($\mathsf{none}$ is *never launched* — the record of the distinguished no-op $e_0$ a $\gamma$-rejection forces, which is how a bounce at the gate enters the ledger at all — distinct in turn from $\mathsf{rolled\_back}$, which launched and was undone: conflating those erases the difference between a gate that held and a compensation that worked). The $\mathsf{reversible}$ bit on each effect is what lets the gate know which effects are irreversible — the predicate the gate-placement entry leans on ("anything irreversible must be gated at authorization") but cannot evaluate unless the record carries it (a bit is the minimal honest form, not the final one: real effects are reversible *until* — an unsend window, a force-push until someone fetched, a row until the backup rotates — so the mark wants to be a $(\mathsf{reversible\_until}, \mathsf{cost})$ pair, a refinement the open-interface caveat below already licenses). And $\rho$ writes the record into $s$ (the ledger lives in the state), which is what lets the next step's $\gamma$, and any owner-side compensation, read it at all. The exact fields are an **open interface, not a result**: bash, HTTP, a filesystem, and a database expose effects at wildly different granularity, and a record uniform across them is a real design problem this document does not resolve — it fixes only what the record must *support* (match by $\mathsf{action\_id}$, the $\mathsf{committed}$/$\mathsf{none}$/$\mathsf{unknown}$ trichotomy, and a reversibility mark), since without those three $\rho$ and the cancellation semantics lose their grip.
-
-**Derived and durable state (compaction and memory).** Two mechanisms let data re-enter the context long after it arrived: compaction, which replaces transcript with a summary when the conversation outgrows what $\pi$ can lower, and memory, which persists records across sessions. Both are transformations of state that produce state, and both therefore raise a question the body's partition answers only if one more closure property is stated: **provenance is a property of the information, not of its position in the pipeline — a transformation's output inherits the meet, in the trusted-writer lattice, of its inputs' labels.** Without that closure, compaction is a laundering channel: a summary of a session that contained an injected page can assert "the user asked to export the database," and the structural-intent check then validates future proposals against a plan the adversary bent — not through $\gamma$, not through $\rho$'s fold of a single $e$, but through the summarizer, which is a learned kernel (it lives in $M_W$, by the standing rule) and so cannot be trusted to preserve a partition it does not know exists. The discipline: summaries of data are data; the control-determining coordinates — plan, grants, what is authorized next — cross a compaction *verbatim* (copied, not paraphrased) or by re-confirmation from the trusted principal — never through the *summarizer*; the model rewrites the plan at plan steps, through the gated fold the body prices, and compaction is not one of them. Memory obeys the same closure twice, at write and at retrieval: the label rides the stored record across sessions, or a poisoned memory is an injection with an arbitrarily long fuse — and retrieval, being learned ($\pi$'s selection factor — adequacy-only behind the never-lower filter), decides what comes back but never what it is trusted *as*. The same test applies at birth: tool catalogs and server-supplied tool descriptions are third-party durable data that arrive dressed as instructions, and the lattice files them on the data side of $s_0$.
-
-One more read-off, this time from irreversibility. *Destructive* compaction — dropping the original transcript once the summary is written — is a side effect against your own state that no later step can undo, and the gate-placement rule ("anything irreversible must be gated at authorization") does not exempt self-directed effects. The granularity preference then says what it said about bash: prefer the instrumented form — originals kept content-addressed, the summary an index and a cache rather than an authority, re-derivable when the $\pi$-sufficiency probe (*How this could be wrong*) says the summary dropped what mattered. A summary you can audit against its source is a lowering; a summary that replaced its source is a fait accompli.
-
-**Composition (harness trees).** The cancellation entry already walked a tree — cancel flowing down, drains flowing up — and "a bash invocation that may itself be a harness" has hovered since the disposition trinary; what is missing is only the statement that makes both ordinary. From the parent's seat, a child harness *is* a $Q_E$ component: spawning it is an action authorized by $\gamma$ like any other, and the entire child run — its own $\pi, \gamma, \rho$, its own coins, its own halt — is one environment draw whose response $e$ is the child's terminal ledger. The law is four correspondences. The child's halting time is the parent's per-step *cost*: a parent certificate consumes a bound on $\mathbb{E}[\tau_H^{\mathrm{child}}]$ — the budget handed down at spawn, which the child's own budget-counter certificate discharges — or the parent's drift is uncontrolled however good its own $\hat V$. The child's ledger is the parent's *effect record*: the child's $e$ carries the $\mathsf{committed}/\mathsf{none}/\mathsf{unknown}$ accounting upward — which is what already let the cancellation entry make compensation the owner's job; the interface was this all along. And the child's non-accepting halts are the parent's *partial failures*: a refused child folds back as a response the parent routes around, not an exception that unwinds it. And the child's admissible effects are the parent's *$\Pi$-restriction*: the spawn grant bounds what the child can reach — the ledger reports what *happened*, the grant bounds what *could* — which is how safety composes without the parent ever reading the child's gate; the attenuation below is this correspondence stated as a rule. Read this way, the gate-granularity discipline and the tree are one preference: an instrumented child — budgeted, ledgered, cancellable — *is* the bounded, cancellable $Q_E$ the trinary prefers, and an opaque bash invocation is an un-annotated child you declined to instrument. Nesting adds no primitive on the environment side either: the parent never sees the child's gate and does not need to — it gates the spawn, prices the budget, folds the ledger, and the child's internal guarantees surface only as the shape of $e$. Nothing fixes one level: the tree recurses, budgets subdivide, ledgers concatenate upward, and the cooperative drain of cancellation is this law read under a cancel signal.
-
-The tree leaves one seat unassigned: who plays trusted principal for a *child*? The parent — but with derived authority, not original, and the derivation is the narrow-only rule read along the spawn edge: **authority attenuates monotonically down the tree.** A spawn may grant the child any subset of the parent's own grants and nothing outside them; budgets subdivide, scopes narrow, and no edge widens. When a child asks-the-owner, the parent may answer from authority it already holds — that is attenuation working as designed — but a request beyond the parent's grants routes *up*, ultimately to the root principal, because a parent improvising an answer it was never granted is a learned kernel widening authorization: precisely what the gate-placement rule forbids a judge, and being a parent confers no exemption. The corollary is worth one sentence: a fully autonomous run is one whose root principal is unreachable, so the tree's only widening channel is closed and authorization is frozen at launch — not a limitation of the formalism but the honest price of the word *autonomous*.
-
-**Daemons (the recurrent harness).** Every entry so far assumed a run that ends; a coordinator, a watcher, a service does not, and the blockquote of *The limit* already named the swap — absorption at a halt set gives way to recurrence to a **ready set** $\mathcal{R}\subseteq\mathcal{S}$, and $V^\star=\infty$ is the spec rather than a pathology. The appendix's job is to say what that costs operationally, and the answer is one idea: **the daemon is the regenerative process of concatenated runs.** Each trigger-to-ready excursion — wake on an event, work, return to $\mathcal{R}$ — is one run of the absorbing object this document already defines, with $\mathcal{R}$ playing the halt set for that excursion; the daemon is those excursions laid end to end. Per-run certificates then lift to long-run rates by renewal-reward — expected work per excursion over expected excursion length — *exactly when* the ready state is a genuine regeneration point: the future from $\mathcal{R}$ must not depend on which excursion you are in.
-
-That proviso is the whole difficulty, because **what accumulates breaks regeneration.** The ledger grows, memory persists, budgets deplete, summaries compact — all deliberately across excursion boundaries, so successive runs are at best *conditionally* independent given the carried state, and the renewal-reward bookkeeping is over that conditioning, not the raw cycle. Two disciplines keep it honest. First, the carried state is exactly where long-fuse attacks live: the poisoned-memory line of *Derived and durable state* is a cycle-scale injection, a payload written in excursion $n$ and lowered into the plan of excursion $n{+}k$, so the meet rule on provenance must hold *across cycles*, not only across a single compaction — everything that crosses a boundary carries its label. Second, per-cycle safety compounds the way the blockquote already priced it — a per-cycle bad-set hazard $q$ gives lifetime survival $\approx(1-q)^N$, and a reassuring $0.9999$ is $\approx0.37$ over ten thousand cycles — so a daemon's safety is not a fixed margin but a decaying one, and lifetime safety needs **renewal events that reset accumulated risk**: owner re-confirmation, audit, credential rotation, verified re-compaction against content-addressed originals. Hygiene is not housekeeping here; it is the renewal structure that makes the long-run bound exist at all.
-
-Authority under intermittence is the last piece, and it is where the daemon meets the veto caveat and the autonomy corollary as one phenomenon. A daemon alternates *attended* stretches, where the trusted principal is reachable, with *autonomous* ones, where it is not; between contacts the autonomy corollary binds and authorization is frozen at the last grant, so each owner interaction is a **renewal point for authority** exactly as re-compaction is a renewal point for risk. The two recurrences need not coincide — the ready-set cycle can turn many times between owner contacts — and the gap between them is a stale grant meeting a fresh world, TOCTOU at cycle scale: a budget approved for yesterday's prices, a scope granted against a resource that has since changed hands. This is also where the learned veto's nonblocking escape gets its daemon reading: in an attended stretch the un-disableable route is the escalation to the principal, but in an autonomous stretch that route is unavailable, so the escape it cannot deny must be the **safe halt** — a daemon whose judge can be driven to manufacture denials must, when it cannot reach its owner, be able to stop rather than be steered.
-
-Nothing here is new machinery either: $\mathcal{R}$ is a non-absorbing terminal read of an existing set, an excursion is the run $T$ already defines, the carried state is the same $s$, and every renewal event is an ordinary owner-issued action. The daemon is the outer loop closed into a cycle — which is the natural bridge to the object one level out.
-
-The pattern generalizes, and that is the point of the appendix. Nothing here added a primitive: the cancel is a signal in $s$, the gate closes by the rule it already follows, the in-flight disposition is forced by irreversibility, $H_{\mathrm{cancel}}$ is a subclass of an existing terminal set, and compensation is an ordinary owner-issued action — and the later entries kept the promise: resume re-enters $T$ at a persisted $s$, the batch gate was always in $\gamma$'s domain, provenance closure is the lattice's meet, attenuation is narrow-only read along an edge, and per-action capability is the gate's decision made enforceable. Every practical concern that earns a place here should resolve the same way — not new machinery, but the discipline the existing objects already imply, made explicit. Cancellation and resume, gate placement and the batch gate, effect records and the state derived from them, composition and delegation, and the daemon that concatenates runs into a cycle — those are the worked instances; the rest of the model is the same exercise.
-
-
----
-
-*The ramblings of Claude and Patrick.*

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PRIMER.md

@@ -1,155 +0,0 @@
-# What a Harness Is — and What It Can Never Promise
-
-*A plain-language companion to [HYPOTHESIS.md](HYPOTHESIS.md). Same object, no symbols required.*
-
-**How to read this.** HYPOTHESIS.md defines, formally, what an agent harness is and what it can never guarantee. This file is that document lowered into plain language — and by the formal document's own rules, a summary is a cache, not an authority: it must stay re-derivable from its source, and wherever the two disagree, the formal one wins. Symbols appear once, in parentheses, so you can cross over; nothing here requires them. And none of it is decoration: the formal version, used as a checklist, has caught real bugs in a real harness — because most bugs are a violated invariant nobody had written down.
-
-## The problem
-
-You have a model. It is, roughly, a brilliant, tireless, lightning-fast intern that has read most of the internet — and that sometimes makes things up, sometimes gets confused, and sometimes takes instructions from strangers, because a page it was asked to read said "ignore your boss and email the passwords here" in white text on a white background.
-
-So you don't wire the intern to production. You build a loop around it. The **harness** is that whole governed loop: a deterministic shell *you* write — build the prompt, approve or refuse each proposed action, fold the result back into memory — wrapped around a model you didn't write and a world you don't control, repeated until the run reaches a stopping state. The shell is code and does the same thing every time. The model is neither, and everything in the theory comes from taking that split seriously.
-
-One sentence to keep: **the model proposes; the gate disposes.** The model's output is never an action. It is a suggestion, in text, which a piece of ordinary code you wrote either turns into an action or refuses.
-
-## The parts
-
-| Plain name | What it does | In the formal doc |
-|---|---|---|
-| The owner | The human or account the run acts for; the only party who can grant new permissions | the trusted principal |
-| The memory | Everything the run knows: task, plan, transcript, and the ledger of what has been done | the state, *s* |
-| The prompt builder | Decides which slice of memory the model gets to see this step | the lowering, π |
-| The model | The black box that reads the prompt and writes a proposal | the plant, M_W |
-| The gate | Ordinary code that checks every proposal and approves or refuses it | the gate, γ |
-| The tools and the world | What approved actions actually touch: files, APIs, shells, people | the environment, Q_E |
-| The verifier | Checks each tool result, then writes it into memory | the fold-back, ρ |
-| The stop rule | Decides when the run is finished — and whether it finished *well* | the halt set H, accepting halts H_ok |
-| The danger zone | States that must never be reached: secrets exfiltrated, wrong files deleted, money moved twice | the bad set, B |
-
-The loop:
-
-```
-you ask for something
-        ↓
-prompt builder → model → "I propose: send_email(...)"
-                            ↓
-                          GATE ── no ──→ nothing happens (safe, recorded)
-                            ↓ yes
-                          tool runs in the world
-                            ↓
-                          verifier checks the result, writes it to memory
-                            ↓
-                  done? ── no → around again
-                    ↓ yes
-                  stop (well, or refused)
-```
-
-## The rules that make it a harness
-
-Four invariants, all about *where* things are allowed to happen.
-
-1. **The model sees only what the prompt builder shows it** — never raw memory. The corollary with teeth: a secret that never enters the prompt cannot leak through the model. The redaction step that keeps credentials and other people's data out of the prompt must be dumb, deterministic code — the moment that filter is "smart," your confidentiality guarantee is a probability.
-2. **Model outputs are proposals, not actions.**
-3. **Every side effect passes the gate.** There is no second door.
-4. **The harness itself flips no coins.** Replay a step with the model's answer and the tool results pinned, and behavior must be identical; any leftover variation is randomness *you* added and must be accounted for. The fine print: "deterministic" is conditional on pinned versions — a provider silently retraining the model behind the same API name changes the machine under you, and every dashboard number you collected dies with the version.
-
-Notice what the rules don't say: they don't say the harness is *good*. A gate that approves everything satisfies rule 3 the way a lock that's always open satisfies "has a lock." The definition is a shape; the guarantees are what a particular harness *earns* inside it. Everything below is about what can be earned — and what can't.
-
-And notice the symmetry between rules 1 and 3. There is exactly one door from your data into the model — what it may see — and exactly one door from the model into the world — what it may do. Nearly every security failure in these systems is one of those two doors with a hole in it: a secret lowered into a prompt that didn't need it, or a path from model text to a side effect that skipped the gate. Same bug, arrow flipped.
-
-## Fail-closed, said precisely
-
-"Fail-closed" gets used loosely. Here it means something exact: **nothing happens unless the gate said yes, and a refusal must itself be safe** — a refused proposal causes no side effect and leaves the run somewhere sane, which may be "stopped, having declined." The run is allowed to *say so*: a templated status message written by the shell is the shell speaking, not the model, and needs no gate. Failed runs don't have to die silent.
-
-Three consequences people miss:
-
-**Reads are not free.** A read-only call can smuggle instructions *in* (the fetched page is attacker-controlled) or secrets *out* (the URL it fetches can encode the payload). The gate approves calls, not just writes.
-
-**Validation must not act.** A "validator" that resolves a URL, expands a template that fires a webhook, or evaluates an argument has already acted — inside the check. The gate must be pure: it reads the proposal and the memory and outputs yes or no. If deciding requires touching the world, that touch is itself an action and goes through the gate.
-
-**Anything irreversible is decided at the gate.** The verifier can reject a bad *result*; it cannot unsend the email. So the question "can we take this back, and until when?" is asked before execution — which means each tool's effect record has to carry a reversibility mark, or the gate can't ask it.
-
-Two honest asterisks. First, the gate checks a snapshot: it approves against the world *as its memory describes it*, and the world can move between check and commit. For actions that race the world — spend against a balance, write against a row — the tool itself must bind check to commit (compare-and-swap), or you have a classic time-of-check/time-of-use hole. The gate decides; for those effects, the tool enforces. Second, a gate is only as binding as the authority behind the tools. A tool process holding standing credentials — a database connection with every grant, an environment full of long-lived secrets — doesn't need the model's proposal to act, and against it the gate's "no" is a decision with nothing enforcing it. **A gate in front of an omnipotent tool is a suggestion.** The fix is to make the approval *be* the key: each authorized action carries a short-lived credential scoped to exactly that action, that resource, that operation, so tools hold no standing power at all.
-
-## Why you don't get a proof — and what you do instead
-
-If you write a sort function, you can prove it sorts: the function is small and the spec is exact. A harness has neither luxury. The spec side fails first — the task arrives in natural language, and natural language is, in the compiler's sense, *all undefined behavior*: there is no formal standard for "what the user meant" to verify against. The mechanism side fails next — the model is billions of learned parameters, and nobody can hand you a compact argument for why they jointly do the right thing.
-
-Here is the careful version, because "you can't prove it" overshoots. The quantity you would want — call it the *expected steps to done* from any situation — is perfectly well-defined; in principle it exists. The document's central conjecture is that, for a model of this size, any faithful writing-down of that quantity is roughly *model-sized*: the honest proof-object does not compress. Find a small one and the conjecture dies — the document lists that outcome, explicitly, among the ways it could be wrong.
-
-So instead of proving, you measure. You pick a progress meter — plan depth shrinking, open obligations closing, budget burning at the expected rate — and you check, across many runs, that it goes downhill and that its stalls predict failure. Two disciplines keep the measurement honest. The number bounds the world you *sampled*, never the world an adversary will choose: a meter calibrated on friendly traffic says nothing about hostile traffic. And the meter is itself attack surface: if "is the agent making progress?" is judged by another model, an attacker who can bend your agent can bend your *measurement of it* first, hiding the divergence from the very dashboard built to catch it. A learned meter is part of the system under test, never a neutral instrument.
-
-A measurement is a risk metric. A proof is a certificate. Keeping those two words apart is half of what this theory is for.
-
-## Security: reach the goal, avoid the danger — and who may change the rules
-
-Formally, security here is a *reach-avoid* problem: reach a good stop, never touch the danger zone, **while an adversary picks the worst tool outputs your setup permits**. That last clause is the formal home of prompt injection: injection isn't "the model misbehaved," it's the environment optimized to bend your loop — poisoned pages, malicious tool descriptions, crafted responses.
-
-Two different numbers fall out here, and dashboards love to collapse them: *success* (reached the right end before anything went wrong — a safe refusal counts against it) and *safety* (never touched the danger zone — a safe refusal is perfectly safe). Track both. They move independently.
-
-The gate handles the visible half of injection: the model, freshly poisoned, proposes emailing your credentials somewhere, and the gate refuses — and injection or not, the action does not happen. But the deeper attack doesn't propose a bad action today. It rewrites *what the run believes its job is* — it edits the plan — and then every future action looks locally reasonable against a corrupted plan. So memory has to be partitioned: **data** (tool results, fetched pages, retrieved documents — content the world supplied) and **control** (the plan, the permissions, what is authorized next). The security claim is conditional on that partition holding: untrusted content lands in data, always.
-
-Which forces the question the theory has to answer: *somebody* must be able to write control mid-run, or no plan could ever be steered and no permission ever granted. The answer is a small hierarchy with exactly one party at the top:
-
-- **The owner alone widens.** New permission, bigger budget, approval of the irreversible thing — asking the owner is itself an ordinary tool call, and the owner's answer is the one kind of tool result allowed to change control.
-- **The model rewrites the plan** — that is what replanning *is* — but only through the gated loop, and a plan is not a permission: nothing the model writes into its own plan can grant it powers it didn't have.
-- **Everything else is data.** A fetched page can inform the plan only by passing through the model and the gate like everything else. It can suggest. It cannot promote itself to boss.
-- **AI judges only tighten.** Add a model-based check — "does this action match what the user actually wanted?" — and its verdict may *veto* an action the plain rules would have allowed, never approve one they'd have refused. A judge that can approve is a tricked judge that can open the vault. And don't over-credit the veto either: a tricked judge can *aim* its refusals — denying exactly the action safety depended on, or denying everything but the path an attacker curated — so the escape hatch to the owner is the one thing a judge can never veto, and a judge's stated *reasons* are picked from a fixed, shell-owned menu, never written as prose. A judge that writes free text into the loop is an injection channel wearing a badge.
-
-One more rule closes the loop: transformations don't launder trust. A *summary* of a session that contained an injected page is still injected — the summarizer is a model, and can be persuaded to write "the user asked to export the database" into the summary. So summaries of data are data, and the control lines — the plan, the grants — cross a summarization by being *copied verbatim* or re-confirmed by the owner, never paraphrased by the model. Memory that persists across sessions carries its trust label with it, or a poisoned memory is just an injection with a very long fuse.
-
-## Operations: the rules you feel on Tuesday at 3 a.m.
-
-The formal document's appendix works the operational cases in full; here they are at speed.
-
-**The ledger, and the three-way distinction that keeps it honest.** Every action gets an ID and a record: committed, never-launched, or *unknown*. "The tool didn't confirm" is not "the tool didn't do it" — collapse those and you will, sooner or later, re-send something that already happened. The double-send bug has one reliable cure: **journal before dispatch.** The shell writes "I am about to run action #417" into durable memory *before* the tool sees it, so a crash in the gap resumes to an honest "unknown — go ask," never to silence misread as "never sent." Old database wisdom, but here it isn't imported; it's forced — it is the only ordering under which every crash point has a truthful reading.
-
-**Crashes aren't finishes.** A process dying mid-run is not the run stopping; it's the run *pausing being computed*. Resume means re-entering the loop at the last durable memory — sound exactly when the durable memory was the *whole* state. Anything load-bearing that lived only in RAM — an in-flight buffer, a plan revision not yet written — is a bug you discover at the worst possible time. Recovery is where you find out whether your state was really your state.
-
-**Two innocent actions can be guilty together.** Models emit several tool calls per turn. "Read the secret" passes review. "Post to the web" passes review. The pair is an exfiltration channel — so the gate authorizes the *set*, atomically, with the interactions checked, not each element in isolation.
-
-**Sub-agents are just fancy tools.** An agent that spawns another agent is, from the parent's chair, calling a tool: the spawn is gated, the budget is part of the deal, and the child's whole run comes back as one result carrying the child's ledger. Two laws travel down the tree: budgets subdivide, and **authority only narrows** — a child holds at most a subset of its parent's permissions, and a child's request beyond those grants routes *up*, ultimately to the owner, because a parent inventing an approval it never held is the tricked-judge case wearing a manager's badge. A corollary worth framing: a *fully autonomous* run is one whose owner is unreachable — meaning the only channel that can ever widen anything is closed, and its permissions are frozen at launch. That is not a limitation of the theory. That is what the word "autonomous" costs.
-
-**Keep the originals.** When the transcript outgrows the prompt and you summarize it down, deleting the original is an irreversible act against your own state — and irreversible acts are gate decisions, self-directed or not. Keep originals content-addressed; let the summary be an index, re-derivable, auditable. A summary you can check against its source is a note. A summary that replaced its source is a fait accompli.
-
-## Robots that never clock out — and robots that assign their own work
-
-Everything so far assumed a job that *ends*: you ask, the robot does it, you read the result. Two steps past that are where the interesting failures live, and they're the same idea one level bigger each time.
-
-**The robot that never clocks out (a daemon).** A monitor, a coordinator, a service — it isn't supposed to finish; it's supposed to keep going, wake on events, do a bit of work, go back to waiting. The clean way to think about it: each wake-work-rest cycle is one ordinary run, and the daemon is just those runs chained end to end forever. That reframing is free — but it comes with a bill nobody likes. **Safety that's fine per cycle rots over many cycles.** A 99.99%-safe cycle sounds bulletproof; run it ten thousand times and you're at about a coin-flip of having touched the danger zone at least once. So a long-running robot's safety isn't a fixed wall, it's a slow leak — which means the antidote isn't a better wall, it's *scheduled resets*: the owner re-confirming, credentials rotating, memory getting audited and re-summarized against the originals. Housekeeping isn't housekeeping; it's the thing that keeps the safety math from decaying. And the slow-leak logic is exactly where slow attacks live — a poisoned note dropped into memory on Monday and read back into the plan on Friday is an injection with a long fuse. So the trust label on a piece of information has to survive across cycles, not just within one. One more wrinkle: a daemon drifts in and out of your reach. While you're around, it can escalate to you; while you're not, "escalate to the owner" isn't available — so the one thing it must always be able to do instead is *stop*. A robot that can be tricked into refusing everything, and can't reach you, had better be able to halt rather than be steered.
-
-**The robot that assigns its own work (the loop).** Step back one more time. Above the robot that *does* a task sits a system that decides *which task is next* — scans the backlog, picks one, launches the robot at it, checks the result, remembers, fires again. This is the thing people mean in 2026 when they say they've stopped prompting their agents and started writing *loops* that prompt them: you design the assigner once, and it runs the doer for you while you sleep. The honest observation — and the reason this document bothers with it — is that the assigner is *not a new kind of thing*. It's the same harness, one level up: it has its own memory (the backlog), its own gate (**who let the loop refactor the auth module at 3 a.m.?**), its own verifier, and its own two walls. Every rule from the inner robot recurs on the outer one — including the uncomfortable ones. There's still no proof it stays out of trouble over a long night; there's only a measured progress meter, with the same catch that a *learned* meter can be fooled. And the origin story of the whole trend is the cautionary case in miniature: the famous first version was literally the same prompt in a `while` loop until the tests passed — which is the empty gate, the always-open lock, one level up. It works beautifully right up until the tests weren't checking the thing that mattered. The loop doesn't delete the hard problems. It moves them up a floor, where they're bigger and you're further away.
-
-The pattern, if you want the whole thing in one line: *words, context, robot, loop* are four sizes of the same object, and every promise in this document lives in the whole assembled thing — never in any one layer by itself.
-
-## The two walls
-
-Two limits are structural. You don't fix them with a better harness; you design around them.
-
-**The desk.** The model can hold only so much *in mind at once* — the context window. Files, databases, and search extend what it can *look up*, not what it can hold: every lookup still passes through the same small window to touch actual computation. The shell can page; the model cannot grow its desk. Tasks whose irreducible working set exceeds the desk don't fail loudly — they fail by forgetting the middle (the well-documented "lost in the middle" effect is this wall showing through the paint).
-
-**The dictionary.** The model's knowledge is frozen into its parameters at training time — and the proof problem above is conjectured to live at that same scale: the certificate wouldn't fit anywhere smaller than the brain it certifies. The two walls trade against each other along the training-versus-inference axis — bigger dictionary or bigger desk — directionally, and at no clean exchange rate.
-
-## How this could be wrong
-
-This is a hypothesis, and it says out loud what would kill it. The tests, in plain terms:
-
-- **The replay test.** Rerun with model answers and tool results pinned. Any leftover variation — timestamps, wall-clocks, and cache expiries are the classic leaks — falsifies "the harness adds no randomness" until accounted for.
-- **The drop-a-variable test.** Remove something from memory; if behavior statistics shift, the memory wasn't complete. The crash-resume version of the same test: if resuming from saved state breaks, the saved state wasn't the state.
-- **Does the meter mean anything?** If no reasonable progress meter's drift predicts real failures — across the natural families, not just one bad candidate — the whole "measure what you can't prove" program is empty.
-- **The red-team test.** Swap sampled tool outputs for worst-case ones: injected pages, poisoned metadata, malformed replies. The design must survive the worst permitted world, not the average one.
-- **Gates versus begging.** The theory predicts deterministic gating beats prompt-level pleading. If "please be careful" alone matches real gates on security outcomes, the controller-versus-model story is wrong.
-- **The compression hunt.** Exhibit a compact, provably sound progress certificate for a frontier-scale model on a nontrivial task family, and the central conjecture falls — constructively.
-- **The desk probe.** Take a task family with a *proven* memory floor — so "it needed the whole picture at once" is someone else's theorem, not our excuse — scale it past the window, and watch: the wall predicts collapse at the boundary, not graceful degradation.
-
-## Who else landed here
-
-The formal document keeps three honesty tiers. **Borrowed**: real theorems, cited — the drift and stopping-time mathematics is classical, and the very architecture of a deterministic supervisor gating a plant it didn't author is 1987 control theory; the shape is older than the web. **Ours**: the modeling choices and the conjectures — the walls, the incompressibility claim, the design rules — organizing principles, not results. **Corroborated**: pieces of the same object reached independently by people who never saw this framing — capability-security work isolating control flow from untrusted data (CaMeL), reinforcement-learning "shields" filtering a learned policy's actions through a deterministic checker, verification work that states the "learned safeguards can't certify" gap as its opening motivation, and architecture patterns converging on plan-then-execute. Even the field's live disagreement — provable-but-rigid deterministic layers versus flexible-but-uncertifiable learned checks — is, in this frame, not a fight but a placement: you need both, on their proper sides of the irreversibility line, with the learned one permitted only to tighten.
-
-## What to remember
-
-The model proposes; the gate disposes. No is the default, and a refusal must be safe. Exactly one party widens permissions — and it is not the model, a tool result, a summary, or a judge. "Didn't confirm" is not "didn't happen." The desk is finite and the proof doesn't compress, so you measure — and you say *measurement* when you mean measurement. A robot that never stops leaks safety slowly, so it needs scheduled resets — and when it can't reach you, it must be able to stop. A loop that runs robots for you is just a bigger robot with the same rules and a further-away owner. And all of it is a hypothesis wearing its own kill-conditions on its sleeve.
-
-The formal version — the objects, the certificates, the falsifiers, the citations — is [HYPOTHESIS.md](HYPOTHESIS.md). It wins every disagreement with this file, including this sentence.
-
-*Same ramblings, fewer symbols.*

QUICKSTART.md

@@ -1,107 +1,92 @@
-# Quickstart
+# Bootstrap Wizard
 
-Install Turnstone, then diagnose it with `turnstone-doctor` if anything looks off.
+Interactive, AI-guided setup for Turnstone deployments. Instead of manually
+editing `.env` files and reading deployment docs, the wizard walks you through
+every decision conversationally and generates all the config files for you.
 
-## Install
-
-The one-line installer autodetects your distro (Ubuntu/Debian, Fedora/RHEL,
-Arch, and WSL), installs git + Docker if missing, generates secrets, picks free
-ports, and starts the stack:
+## Quick Start
 
 ```bash
-curl -fsSL https://raw.githubusercontent.com/turnstonelabs/turnstone/main/run.sh | bash
+turnstone-bootstrap
 ```
 
-Re-running is safe — it updates the checkout and keeps your existing `.env`.
-When it finishes it prints the dashboard URL and how to create the first admin
-user.
+That's it — no flags, no arguments. The wizard prompts for everything.
 
-**Other ways to install**
+## How It Works
 
-- **Already have Docker?** Clone the repo and `docker compose up` for the full
-  local cluster, or `docker compose -f turnstone/deploy/compose.yaml up` for the
-  released single-node stack. See [docs/docker.md](docs/docker.md).
-- **Python package:** `pip install turnstone` (add `--pre` for the experimental
-  track), then run `turnstone-server` / `turnstone-console` directly. See the
-  [README](README.md#quickstart).
+1. **Pick a model** — Choose OpenAI, Anthropic, or a local/vLLM endpoint to
+   power the wizard. Local endpoints auto-detect available models.
+2. **Answer questions** — The AI walks you through deployment mode, LLM
+   provider, database, authentication, ports, and optional features.
+3. **Review generated files** — Each file is previewed before writing. You
+   confirm or reject every write.
+4. **Start the stack** — The wizard prints the exact `docker compose` command
+   and a `setup.sh` script to create your first admin user, roles, and policies.
 
-## Diagnose: `turnstone-doctor`
+## What Gets Generated
 
-`turnstone-doctor` is an LLM-backed assistant that inspects a **running**
-Turnstone install and helps you troubleshoot it. It is **read-only** — it
-investigates and tells you the exact commands to fix things, but never changes
-your system. (Installation is the installer's job, not the doctor's.)
-
-```bash
-# From a host that has the turnstone package installed:
-turnstone-doctor
-
-# For a Docker install from run.sh (no package on the host), run it with pipx:
-pipx run --spec turnstone turnstone-doctor --dir ~/turnstone
-```
-
-### What it does
-
-1. **Preflight** — detects how Turnstone is installed here (docker-compose,
-   systemd/bare-metal, pip, or a source checkout) by probing for `config.toml`
-   files, `TURNSTONE_*` environment variables, compose files, and systemd units.
-2. **Self-configures its LLM** — it powers its own brain from your cluster's
-   *own* model configuration (env / `config.toml` / the database). Whether that
-   works is the first diagnostic: success means your LLM backend is healthy; if
-   it can't, that's surfaced as finding #1 and it falls back to asking you for a
-   provider and key so it can still help.
-3. **Version check** — reports the installed version, version drift across your
-   cluster's nodes, and the latest upstream stable/experimental releases.
-4. **Interactive diagnosis** — it reads logs, `/health`, `docker compose ps`,
-   `systemctl`, config, and ports to pin down problems like a node not joining
-   the console, an unreachable database, a down model backend, port conflicts,
-   or a JWT-secret mismatch — then hands you the precise remediation commands.
-
-### Flags
-
-| Flag | Purpose |
+| File | Purpose |
 |------|---------|
-| `--dir PATH` | Install directory to inspect (default: current directory) |
-| `--report` | Print the deterministic preflight report and exit — no LLM key needed |
-| `--offline` | Skip the upstream GitHub version check |
+| `.env` | All environment variables for `compose.yaml` |
+| `setup.sh` | Post-start script: creates admin user, roles, tool policies, prompt templates via the API |
+| `docker-compose.override.yaml` | Only if customizations beyond env vars are needed |
 
-`--report` is the fastest way to get a health snapshot (and to share one when
-asking for help) — it never needs an API key:
+## Requirements
 
-```bash
-turnstone-doctor --report --dir ~/turnstone
-```
+- **Python 3.11+** with turnstone installed (`pip install turnstone`)
+- **An LLM API key** — for the wizard itself (OpenAI, Anthropic, or a local
+  model). This can differ from the LLM your deployment will use.
+- **Docker & Docker Compose** — needed to run the stack. The wizard detects
+  whether Docker is installed and gives platform-specific install instructions
+  if it's missing. You can still generate config files without Docker.
+
+## Deployment Modes
+
+The wizard supports two deployment modes:
+
+- **Single-node production** (`docker compose --profile production up`) —
+  1 server + console + PostgreSQL. Good for most use cases.
+- **Multi-node cluster** (`docker compose --profile cluster up`) —
+  10-node server fleet + console + PostgreSQL. For high-throughput or
+  HA deployments.
+
+## Example Session
 
 ```
-## Install profile
-- Detected kind(s): docker-compose  (primary: docker-compose)
-- Docker daemon reachable: yes
-- Compose files:
-    /home/you/turnstone/compose.yaml
-- Database: backend=postgresql, url=postgresql+psycopg://turnstone:****@postgres:5432/turnstone
-- Candidate health URLs: http://localhost:8080/health, http://localhost:8090/health
+$ turnstone-bootstrap
 
-## Versions
-- Installed (this tool): 1.7.0a2
-- Cluster nodes: 10 reporting; versions ['1.7.0a2']
-- Version drift across nodes: no
-- Upstream: stable 1.6.9, experimental 1.7.0a2
+ Turnstone Bootstrap Wizard  v1.5.0
+ ────────────────────────────────────────────────
 
-## LLM backend (ok)
-- resolved Qwen/Qwen3-32B via openai-compatible @ http://host.docker.internal:8000/v1
+ Which provider for this wizard?
+   [1] OpenAI
+   [2] Anthropic
+   [3] OpenAI-compatible (local/vLLM)
+
+ > 3
+
+ Base URL [http://localhost:8000/v1]:
+ API key (press Enter for 'none'):
+
+ Querying http://localhost:8000/v1 for available models...
+ Found model: Qwen/Qwen3-32B
+
+ Connected to Qwen/Qwen3-32B. Handing off to AI assistant...
+
+> (AI walks you through the rest interactively)
 ```
 
-Secrets (JWT secret, database password, API keys) are always redacted in the
-report and in anything the doctor reads.
-
 ## Tips
 
-- **Type `quit`** to exit the conversation; **Ctrl+C** interrupts (twice to quit).
-- **Point it at the right install** with `--dir` when you run it from elsewhere.
-- **(Re)installing or adding nodes?** Use the installer (`run.sh`), not the doctor.
+- **Re-run safely** — running the wizard again detects your existing `.env`
+  and offers to update it rather than overwriting.
+- **Duplicate writes are skipped** — if the LLM tries to write the same file
+  twice with identical content, it's silently ignored.
+- **Type `quit` to exit** at any time during the conversation.
+- **Ctrl+C** is handled gracefully — press once to interrupt, twice to exit.
 
 ## See Also
 
-- [Docker Deployment](docs/docker.md) — compose stacks, ports, and bare-metal nodes
+- [Docker Deployment](docs/docker.md) — manual compose setup and profiles
 - [Security](docs/security.md) — auth architecture and token types
 - [Governance](docs/governance.md) — roles, policies, and templates

README.md

@@ -3,11 +3,9 @@
 [![CI](https://github.com/turnstonelabs/turnstone/actions/workflows/ci.yml/badge.svg)](https://github.com/turnstonelabs/turnstone/actions/workflows/ci.yml)
 [![PyPI](https://img.shields.io/pypi/v/turnstone)](https://pypi.org/project/turnstone/)
 [![Python](https://img.shields.io/pypi/pyversions/turnstone)](https://pypi.org/project/turnstone/)
-[![License](https://img.shields.io/badge/license-Apache--2.0-blue)](LICENSE)
-[![Discord](https://img.shields.io/badge/Discord-join%20us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Nh3bWMacaq)
-[![Sponsor](https://img.shields.io/badge/Sponsor-%E2%9D%A4-db61a2?logo=githubsponsors&logoColor=white)](https://github.com/sponsors/eous)
+[![License](https://img.shields.io/badge/license-BSL--1.1-blue)](LICENSE)
 
-Self-hosted, local-first orchestration for tool-using AI agents. Give LLMs real tools — shell, files, search, web — and run them across your own cluster with direct HTTP routing and interactive interfaces. Your code, your models, your data stay on hardware you control: no telemetry, no phone-home.
+Multi-node AI orchestration platform. Deploy tool-using AI agents across a cluster of servers with direct HTTP routing, interactive interfaces, and enterprise governance.
 
 <p align="center">
   <img src="docs/assets/hero.png" alt="Turnstone coordinator — parallel tool batches with judge-graded approval and child workstream tracking" width="960"/>
@@ -15,14 +13,6 @@ Self-hosted, local-first orchestration for tool-using AI agents. Give LLMs real
 
 Named after the [Ruddy Turnstone](https://en.wikipedia.org/wiki/Ruddy_turnstone) (*Arenaria interpres*) — a shorebird that flips stones to discover what's hiding underneath.
 
-**What is a harness?**
-
-```
-ℋ :  s_{n+1} ~ T(s_n)   for n < τ*,    T = ρ ∘ (M_W ∘ π, E)
-```
-
-[**the primer →**](PRIMER.md)
-
 ### Release Tracks
 
 | Track | Install | Docker | Description |
@@ -36,13 +26,12 @@ See [docs/releasing.md](docs/releasing.md) for the full release process.
 
 Turnstone gives LLMs tools — shell, files, search, web, planning — and orchestrates multi-turn conversations where the model investigates, acts, and reports.
 
-- **Local-first & private** — runs entirely on hardware you control, with no telemetry and no phone-home. Point it at local models (vLLM, llama.cpp) or commercial APIs you hold the keys to — your prompts and data never transit a third party you didn't choose.
-- **Bring your own models** — OpenAI-compatible APIs (vLLM, llama.cpp, NIM), the Anthropic Messages API, and Google Gemini, mixed freely per role
 - **Interactive sessions** — terminal CLI or browser UI with parallel workstreams
-- **Cluster dashboard** — real-time view of every node and workstream, with a rendezvous routing proxy
-- **Intent validation** — an LLM judge (your model) grades every tool call with a risk assessment and evidence before it runs
+- **Cluster dashboard** — real-time view of all nodes and workstreams with console routing proxy
+- **Intent validation** — LLM judge evaluates every tool call with risk assessments and evidence
+- **Governance** — RBAC, OIDC SSO, tool policies, skills, usage tracking, audit logs
+- **Multi-provider** — OpenAI-compatible APIs (vLLM, llama.cpp, NIM), Anthropic Messages API, and Google Gemini
 - **MCP support** — external tool servers with native deferred loading (Anthropic/OpenAI) or BM25 fallback
-- **Team controls when you need them** — optional RBAC, SSO, tool policies, and audit logs, all stored in your own database
 
 <p align="center">
   <img src="docs/diagrams/architecture-overview.svg" alt="Turnstone system architecture" width="960"/>
@@ -60,12 +49,14 @@ turnstone --base-url http://localhost:8000/v1
 turnstone-server --port 8080 --base-url http://localhost:8000/v1
 
 # Cluster dashboard
+pip install turnstone[console]
 turnstone-console --port 8090
 ```
 
 For PostgreSQL (recommended for production):
 
 ```bash
+pip install turnstone[postgres]
 export TURNSTONE_DB_BACKEND=postgresql
 export TURNSTONE_DB_URL="postgresql+psycopg://user:pass@localhost:5432/turnstone"
 turnstone-server --port 8080 --base-url http://localhost:8000/v1
@@ -73,29 +64,12 @@ turnstone-server --port 8080 --base-url http://localhost:8000/v1
 
 ### Docker
 
-One-line install — autodetects Ubuntu/Debian, Fedora/RHEL, Arch, and WSL,
-installs git + Docker if missing, generates secrets, and starts the stack:
-
 ```bash
-curl -fsSL https://raw.githubusercontent.com/turnstonelabs/turnstone/main/run.sh | bash
+cp .env.example .env  # edit LLM_BASE_URL, OPENAI_API_KEY, etc.
+docker compose --profile production up
 ```
 
-Or, if you already have Docker, clone the repo and run it yourself:
-
-```bash
-docker compose up
-```
-
-That builds one image and brings up a full local cluster — PostgreSQL, console,
-Caddy, channel gateway, and 10 server nodes — with no `.env` required (it ships
-with insecure dev defaults). Open the dashboard at https://localhost:8443 (Caddy
-serves it over TLS with its own local CA — trust it once). Nodes boot without an
-LLM; add model backends from the console UI.
-
-For production (released images from ghcr.io, real secrets required), use the
-bundled stack: `docker compose -f turnstone/deploy/compose.yaml up`.
-
-See [QUICKSTART.md](QUICKSTART.md) for the install + troubleshooting walkthrough and [docs/docker.md](docs/docker.md) for Docker configuration.
+See [QUICKSTART.md](QUICKSTART.md) for the bootstrap wizard and [docs/docker.md](docs/docker.md) for Docker configuration and profiles.
 
 ### Programmatic (SDK)
 
@@ -125,9 +99,8 @@ Built-in tools for shell, files, search, web, memory, notifications, and autonom
 | `turnstone-console` | Cluster dashboard + routing proxy + admin panel |
 | `turnstone-channel` | Channel gateway (Discord and Slack adapters) |
 | `turnstone-admin` | User/token management CLI |
-| `turnstone-eval` | Headless measurement — scores tool-use against expected actions |
-| `turnstone-optimizer` | Prompt/tool optimizer (UCB self-modify loop over the eval substrate) |
-| `turnstone-doctor` | LLM-backed cluster diagnostics |
+| `turnstone-eval` | Eval harness for prompt/tool optimization |
+| `turnstone-bootstrap` | LLM-guided setup wizard |
 
 ### Diagrams
 
@@ -169,22 +142,9 @@ UML diagrams in [`docs/diagrams/`](docs/diagrams/):
 
 - Python 3.11+
 - An OpenAI-compatible API endpoint, Anthropic API key, or Google Gemini API key
-- Optional: Discord / Slack channel integrations (`pip install turnstone[discord,slack]`)
+- Optional: PostgreSQL (`pip install turnstone[postgres]`), Anthropic (`pip install turnstone[anthropic]`)
 - [Git LFS](https://git-lfs.com/) for cloning (diagram PNGs)
 
-## Support
-
-Turnstone is free, Apache-2.0, and self-hosted — no paid tier, no telemetry, no upsell. If it saves you time or you'd like to help keep development moving, you can sponsor the project:
-
-**[❤ Sponsor Turnstone →](https://github.com/sponsors/eous)**  ·  one-off via **[PayPal](https://paypal.me/eousphoros)**
-
-Sponsorship is entirely optional and funds maintenance, new features, and infrastructure. Prefer to contribute in other ways? Filing issues, improving docs, and [pull requests](CONTRIBUTING.md) help just as much.
-
-## Community
-
-Questions, ideas, or want to show what you're building? Join us on Discord:
-**[discord.gg/Nh3bWMacaq](https://discord.gg/Nh3bWMacaq)**.
-
 ## License
 
-[Apache License 2.0](LICENSE), as of version 1.6.0. Versions 1.5.x and earlier remain under the Business Source License 1.1 they shipped with.
+[Business Source License 1.1](LICENSE) — free for all use except hosting as a managed service. Converts to Apache 2.0 on 2030-03-01.

THIRD-PARTY-NOTICES

@@ -2,11 +2,11 @@ Turnstone — Third-Party Notices
 
 This file contains the licenses and notices for third-party software bundled
 with Turnstone. Each bundled dependency retains its original license; the
-Turnstone Apache-2.0 license does not apply to these components.
+Turnstone BUSL-1.1 license does not apply to these components.
 
 ================================================================================
 
-KaTeX 0.17.0
+KaTeX 0.16.38
 https://katex.org/
 https://github.com/KaTeX/KaTeX
 
@@ -70,7 +70,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
 ================================================================================
 
-Mermaid 11.15.0
+Mermaid 11.13.0
 https://mermaid.js.org/
 https://github.com/mermaid-js/mermaid
 
@@ -98,7 +98,7 @@ SOFTWARE.
 
 ================================================================================
 
-hls.js 1.6.16
+hls.js 1.6.15
 https://github.com/video-dev/hls.js
 
 Copyright 2017 Dailymotion

compose.yaml

@@ -1,60 +1,16 @@
 # =============================================================================
-# Turnstone — local cluster stack (docker compose)
+# Turnstone Docker Compose Stack — Development
 #
-# Clone the repo and run:
+# This file is for local development from a git clone. It builds images
+# locally from the Dockerfile. If you installed via pip/pipx, run
+# `turnstone-bootstrap` instead — it writes a production compose.yaml
+# that pulls pre-built images from ghcr.io.
 #
-#     docker compose up
-#
-# That builds one image and brings up a complete, console-visible cluster:
-# PostgreSQL + console + Caddy + channel gateway + 10 server nodes (node-1…10).
-#
-#   Dashboard: https://localhost:8443   (Caddy's local CA — trust it once)
-#
-# Access is via Caddy only — the console's plain-HTTP port is intentionally not
-# published (HTTP/2 from Caddy avoids the browser's 6-connection cap on the
-# dashboard's SSE streams). Trust Caddy's root once:
-#     docker compose exec caddy cat /data/caddy/pki/authorities/local/root.crt
-#
-# It works out of the box with INSECURE dev defaults (see the secret/password
-# values below) so there's nothing to configure first. A .env file still
-# overrides any value. For a real deployment use the bundled production stack
-# at turnstone/deploy/compose.yaml — it pulls released images from ghcr.io and
-# requires you to set real secrets.
-#
-# Bring your own LLM: nodes boot without one and show up in the console
-# immediately. Add model backends (OpenAI / Anthropic / local vLLM) from the
-# console UI's Models tab, or point LLM_BASE_URL / OPENAI_API_KEY (below) at an
-# OpenAI-compatible endpoint.
-#
-# Fewer nodes (lighter machines):
-#     docker compose up postgres console caddy channel node-1 node-2 node-3
-#
-# Join a bare-metal host: a turnstone-server running OUTSIDE compose (e.g. to use
-# a local GPU) can join this cluster. Postgres, the console's ACME endpoint, and
-# SearxNG are published on 127.0.0.1 so a node on THIS machine reaches them via
-# localhost. Keep secrets in ~/.config/turnstone/config.toml (chmod 0600 — the
-# loader warns otherwise):
-#     [auth]
-#     jwt_secret = "dev-only-insecure-jwt-secret-change-me-for-real-deployments"
-#     [database]
-#     backend = "postgresql"
-#     url = "postgresql+psycopg://turnstone:turnstone@localhost:5432/turnstone"
-#     [api]
-#     base_url = "http://localhost:8000/v1"
-#     api_key = "dummy"
-#     [tls]              # only if the cluster runs mTLS
-#     enabled = true
-# then run (node identity isn't a secret, so it stays on the command line):
-#     TURNSTONE_NODE_ID=host-1 \
-#       TURNSTONE_ADVERTISE_URL=http://host.docker.internal:8080 \
-#       TURNSTONE_CONSOLE_URL=http://localhost:8090 \
-#       TURNSTONE_SEARXNG_URL=http://localhost:8081 \
-#       turnstone-server --host 0.0.0.0 --port 8080
-# The node registers in Postgres, auto-enrolls its mTLS cert from the console's
-# ACME endpoint (when the cluster runs mTLS), and the console collector reaches
-# it back via host.docker.internal. To join from ANOTHER machine, set
-# TURNSTONE_HOST_IP to this host's LAN IP and use it in the URLs above (and the
-# node's TURNSTONE_ADVERTISE_URL = the NODE host's IP) — see docs/docker.md.
+# Usage:
+#   Infra only:           docker compose up
+#   Single node:          docker compose --profile production up
+#   Production (PG):      TURNSTONE_DB_BACKEND=postgresql docker compose --profile production up
+#   10-node cluster:      docker compose --profile cluster up
 # =============================================================================
 
 name: turnstone
@@ -67,30 +23,16 @@ volumes:
   turnstone-data:
   workspace:
   postgres-data:
-  caddy-data:
-  caddy-config:
-  searxng-cache:
-
-# -- Shared values (scalar anchors) -------------------------------------------
-# Defined once here, referenced (*alias) by every service so the dev defaults
-# can't drift. All `${VAR:-default}` values are still overridable via .env.
-x-shared:
-  # INSECURE dev default. Every service MUST share ONE secret — the console
-  # mints its own service token (signed with this) to reach the nodes. Override
-  # TURNSTONE_JWT_SECRET in .env for anything that isn't a local sandbox.
-  jwt-secret: &jwt-secret "${TURNSTONE_JWT_SECRET:-dev-only-insecure-jwt-secret-change-me-for-real-deployments}"
-  db-backend: &db-backend "${TURNSTONE_DB_BACKEND:-postgresql}"
-  # All services point at the same Postgres. Node discovery REQUIRES a shared
-  # DB: each server registers + heartbeats into a `services` table that the
-  # console polls. (SQLite-per-container can't see other containers.)
-  db-url: &db-url "${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}"
 
 services:
   # -------------------------------------------------------------------
-  # PostgreSQL — the shared database that ties the cluster together.
+  # PostgreSQL — production database (profile: production)
   # -------------------------------------------------------------------
   postgres:
     image: pgautoupgrade/pgautoupgrade:18-alpine
+    profiles:
+      - production
+      - cluster
     command:
       - postgres
       - -c
@@ -100,17 +42,8 @@ services:
     environment:
       POSTGRES_DB: turnstone
       POSTGRES_USER: ${POSTGRES_USER:-turnstone}
-      # INSECURE dev default — override POSTGRES_PASSWORD in .env for real use.
-      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-turnstone}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?POSTGRES_PASSWORD is required for production profile}
       PGDATA: /var/lib/postgresql/data
-    # Published so a bare-metal turnstone-server can join the cluster (see "Join
-    # a bare-metal host" in the header). Bound to 127.0.0.1 by default (same-host
-    # nodes only); set TURNSTONE_HOST_IP to this host's LAN IP to let another
-    # machine connect — but set a real POSTGRES_PASSWORD first, or you'll expose a
-    # database with the insecure default password to your network. (The legacy
-    # POSTGRES_BIND is still honored as a fallback when TURNSTONE_HOST_IP is unset.)
-    ports:
-      - "${TURNSTONE_HOST_IP:-${POSTGRES_BIND:-127.0.0.1}}:${POSTGRES_PORT:-5432}:5432"
     volumes:
       - postgres-data:/var/lib/postgresql/data
     networks:
@@ -124,23 +57,65 @@ services:
     deploy:
       resources:
         limits:
-          memory: 2G
+          memory: 4G
+          cpus: '4.0'
     restart: unless-stopped
 
   # -------------------------------------------------------------------
-  # turnstone-console — cluster dashboard. Reach it ONLY through Caddy at
-  # https://localhost:8443 (see the caddy service below).
-  #
-  # Browsers must reach the dashboard through Caddy (https://localhost:8443): a
-  # plain HTTP/1.1 origin caps the browser at 6 connections, which starves the
-  # dashboard's per-pane SSE streams, whereas Caddy serves HTTP/2 (multiplexed)
-  # and proxies to console:8090 internally. The console's :8090 is published
-  # below ONLY so bare-metal nodes can reach the plain-HTTP ACME enrollment
-  # endpoint — don't point a browser at it.
-  #
-  # The single `build:` here produces the turnstone:local image every other
-  # service reuses. extra_hosts lets the console reach a bare-metal server
-  # advertising http://host.docker.internal:8080 (see "Join a host" below).
+  # turnstone-server — Web UI + chat workstreams + LLM interaction
+  # -------------------------------------------------------------------
+  server:
+    image: turnstone:local
+    profiles:
+      - production
+    command:
+      - sh
+      - -c
+      - >-
+        turnstone-server
+        --host 0.0.0.0
+        --port 8080
+        --base-url "$${LLM_BASE_URL}"
+        --api-key "$${OPENAI_API_KEY}"
+        $${MODEL:+--model $$MODEL}
+        $${SKIP_PERMISSIONS:+--skip-permissions}
+        $${MCP_CONFIG:+--mcp-config $$MCP_CONFIG}
+    ports:
+      - "${SERVER_PORT:-8080}:8080"
+    volumes:
+      - turnstone-data:/data
+      - ${WORKSPACE_MOUNT:-workspace}:/workspace
+    environment:
+      - LLM_BASE_URL=${LLM_BASE_URL:-http://host.docker.internal:8000/v1}
+      - OPENAI_API_KEY=${OPENAI_API_KEY:-dummy}
+      - TAVILY_API_KEY=${TAVILY_API_KEY:-}
+      - SKIP_PERMISSIONS=${SKIP_PERMISSIONS:-}
+      # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
+      - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
+      - MODEL=${MODEL:-}
+      - MCP_CONFIG=${MCP_CONFIG:-}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
+      - TURNSTONE_NODE_ID=${TURNSTONE_NODE_ID:-}
+      - TURNSTONE_ADVERTISE_URL=${TURNSTONE_ADVERTISE_URL:-http://server:8080}
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    networks:
+      - turnstone-net
+    depends_on:
+      postgres:
+        condition: service_healthy
+        required: false
+    healthcheck:
+      test: ["CMD", "python", "/usr/local/bin/healthcheck.py", "http://127.0.0.1:8080/health"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+      start_period: 60s
+    restart: unless-stopped
+
+  # -------------------------------------------------------------------
+  # turnstone-console — Cluster dashboard
   # -------------------------------------------------------------------
   console:
     image: turnstone:local
@@ -151,26 +126,16 @@ services:
       - turnstone-console
       - --host=0.0.0.0
       - --port=8090
-    # Publishes the console's plain-HTTP listener so a bare-metal node can reach
-    # the ACME endpoint, fetch the CA, and enroll its cert (the console serves
-    # HTTP here even under mTLS). Bound to 127.0.0.1 by default; setting
-    # TURNSTONE_HOST_IP exposes the WHOLE console HTTP API — including the
-    # cert-issuing ACME endpoint — on that interface, so the JWT secret's
-    # strength is the only gate. Browsers use Caddy :8443, never this port.
     ports:
-      - "${TURNSTONE_HOST_IP:-127.0.0.1}:8090:8090"
+      - "${CONSOLE_PORT:-8090}:8090"
     environment:
-      TURNSTONE_JWT_SECRET: *jwt-secret
-      TURNSTONE_DB_BACKEND: *db-backend
-      TURNSTONE_DB_URL: *db-url
-      TURNSTONE_CONSOLE_URL: http://console:8090
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
+      # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
+      - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
+      - TURNSTONE_CONSOLE_URL=http://console:8090
     networks:
       - turnstone-net
-    depends_on:
-      postgres:
-        condition: service_healthy
     healthcheck:
       test: ["CMD", "python", "/usr/local/bin/healthcheck.py", "http://127.0.0.1:8090/health"]
       interval: 10s
@@ -180,33 +145,14 @@ services:
     restart: unless-stopped
 
   # -------------------------------------------------------------------
-  # caddy — browser TLS for the console dashboard.
-  # Terminates HTTPS (Caddy's own local CA, see turnstone/deploy/Caddyfile) → console:8090.
-  # Dashboard over TLS: https://localhost:${CONSOLE_HTTPS_PORT:-8443}
-  # -------------------------------------------------------------------
-  caddy:
-    image: caddy:2.11
-    depends_on:
-      - console
-    ports:
-      - "${CONSOLE_HTTPS_PORT:-8443}:443"
-      # SearxNG web UI — localhost-only (it has no auth). Browse https://localhost:8444.
-      - "127.0.0.1:${SEARXNG_HTTPS_PORT:-8444}:8444"
-    volumes:
-      - ./turnstone/deploy/Caddyfile:/etc/caddy/Caddyfile:ro
-      - caddy-data:/data # persist Caddy's local CA across restarts
-      - caddy-config:/config
-    networks:
-      - turnstone-net
-    restart: unless-stopped
-
-  # -------------------------------------------------------------------
-  # turnstone-channel — channel gateway (Discord and/or Slack).
-  # Runs HTTP-only with no adapters until you set a token, so it's safe
-  # to leave running. See docs/channels.md.
+  # turnstone-channel — Channel gateway (Discord, Slack, etc.)
+  # Requires TURNSTONE_DISCORD_TOKEN to enable Discord adapter
   # -------------------------------------------------------------------
   channel:
     image: turnstone:local
+    profiles:
+      - production
+      - cluster
     command:
       - sh
       - -c
@@ -215,66 +161,36 @@ services:
         --http-host=0.0.0.0
         $${TURNSTONE_DISCORD_GUILD:+--discord-guild $$TURNSTONE_DISCORD_GUILD}
     environment:
-      TURNSTONE_JWT_SECRET: *jwt-secret
-      TURNSTONE_DB_BACKEND: *db-backend
-      TURNSTONE_DB_URL: *db-url
-      TURNSTONE_DISCORD_TOKEN: ${TURNSTONE_DISCORD_TOKEN:-}
-      TURNSTONE_DISCORD_GUILD: ${TURNSTONE_DISCORD_GUILD:-0}
-      TURNSTONE_SLACK_TOKEN: ${TURNSTONE_SLACK_TOKEN:-}
-      TURNSTONE_SLACK_APP_TOKEN: ${TURNSTONE_SLACK_APP_TOKEN:-}
-      TURNSTONE_CHANNEL_ADVERTISE_URL: http://channel:8091
+      - TURNSTONE_DISCORD_TOKEN=${TURNSTONE_DISCORD_TOKEN:-}
+      - TURNSTONE_DISCORD_GUILD=${TURNSTONE_DISCORD_GUILD:-0}
+      # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
+      - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-postgresql}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}
+      - TURNSTONE_CHANNEL_ADVERTISE_URL=http://channel:8091
     networks:
       - turnstone-net
     depends_on:
       postgres:
         condition: service_healthy
-    restart: unless-stopped
-
-  # -------------------------------------------------------------------
-  # searxng — self-hosted metasearch backing the web_search tool.
-  # Internal-network only (no published port): nodes reach it at
-  # http://searxng:8080. Config (JSON output on, limiter off) lives in
-  # turnstone/deploy/searxng/settings.yml, mounted read-only. Commercial
-  # models use native provider search and never hit this; it serves
-  # local/vLLM models. Override the tag with SEARXNG_IMAGE_TAG in .env.
-  # -------------------------------------------------------------------
-  searxng:
-    image: searxng/searxng:${SEARXNG_IMAGE_TAG:-latest}
-    # Published so a bare-metal node's web_search can reach it. SearxNG has NO
-    # auth, so it is bound to 127.0.0.1 by default; setting TURNSTONE_HOST_IP
-    # exposes it on that interface — an open search proxy on your LAN, which also
-    # triggers the SearxNG AGPL-3.0 §13 source-offer obligation (see docs/docker.md).
-    # In-compose nodes always use the internal http://searxng:8080 and ignore this.
-    ports:
-      - "${TURNSTONE_HOST_IP:-127.0.0.1}:${SEARXNG_API_PORT:-8081}:8080"
-    volumes:
-      - ./turnstone/deploy/searxng:/etc/searxng:ro
-      - searxng-cache:/var/cache/searxng # favicon + internal SQLite cache (survives restarts)
-    networks:
-      - turnstone-net
-    healthcheck:
-      test: ["CMD", "wget", "-q", "--spider", "http://localhost:8080/healthz"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-      start_period: 20s
+        required: false
     restart: unless-stopped
 
   # ===================================================================
-  # Server fleet — node-1 … node-10
+  # 10-node cluster (profile: cluster)
   #
-  # Each node registers itself in Postgres on boot (unique
-  # TURNSTONE_NODE_ID + TURNSTONE_ADVERTISE_URL) and the console
-  # discovers it automatically — no static node list anywhere.
+  # All nodes share the same PostgreSQL instance.
+  # Access via console at :8090.
   #
-  # node-1 carries the shared definition (&node / &node-env); node-2…10
-  # inherit it and override only their identity.
+  # Start:  docker compose --profile cluster up
   # ===================================================================
-  node-1: &node
+
+  # -- cluster servers ------------------------------------------------
+
+  server-1: &cluster-server
     image: turnstone:local
-    build:
-      context: .
-      dockerfile: Dockerfile
+    build: { context: ., dockerfile: Dockerfile }
+    profiles: [cluster]
     command:
       - sh
       - -c
@@ -290,30 +206,23 @@ services:
     volumes:
       - turnstone-data:/data
       - ${WORKSPACE_MOUNT:-workspace}:/workspace
-    environment: &node-env
-      TURNSTONE_JWT_SECRET: *jwt-secret
-      TURNSTONE_DB_BACKEND: *db-backend
-      TURNSTONE_DB_URL: *db-url
-      # Bootstrap LLM defaults — real backends are configured in the console UI.
+    environment: &cluster-server-env
       LLM_BASE_URL: ${LLM_BASE_URL:-http://host.docker.internal:8000/v1}
       OPENAI_API_KEY: ${OPENAI_API_KEY:-dummy}
-      # web_search backend. Defaults to the bundled searxng service; point at an
-      # external SearxNG by setting TURNSTONE_SEARXNG_URL in .env (empty disables).
-      TURNSTONE_SEARXNG_URL: ${TURNSTONE_SEARXNG_URL:-http://searxng:8080}
+      TAVILY_API_KEY: ${TAVILY_API_KEY:-}
+      SKIP_PERMISSIONS: ${SKIP_PERMISSIONS:-}
+      # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
+      TURNSTONE_JWT_SECRET: ${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
       MODEL: ${MODEL:-}
       MCP_CONFIG: ${MCP_CONFIG:-}
-      SKIP_PERMISSIONS: ${SKIP_PERMISSIONS:-}
+      TURNSTONE_DB_BACKEND: ${TURNSTONE_DB_BACKEND:-postgresql}
+      TURNSTONE_DB_URL: ${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:?}@postgres:5432/turnstone}
       TURNSTONE_NODE_ID: node-1
-      TURNSTONE_ADVERTISE_URL: http://node-1:8080
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    networks:
-      - turnstone-net
+      TURNSTONE_ADVERTISE_URL: http://server-1:8080
+    extra_hosts: ["host.docker.internal:host-gateway"]
+    networks: [turnstone-net]
     depends_on:
-      postgres:
-        condition: service_healthy
-      searxng:
-        condition: service_healthy
+      postgres: { condition: service_healthy }
     healthcheck:
       test: ["CMD", "python", "/usr/local/bin/healthcheck.py", "http://127.0.0.1:8080/health"]
       interval: 10s
@@ -322,34 +231,34 @@ services:
       start_period: 60s
     deploy:
       resources:
-        limits:
-          memory: 4G
+        limits: { memory: 4G, cpus: '4' }
     restart: unless-stopped
 
-  node-2:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-2, TURNSTONE_ADVERTISE_URL: "http://node-2:8080" }
-  node-3:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-3, TURNSTONE_ADVERTISE_URL: "http://node-3:8080" }
-  node-4:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-4, TURNSTONE_ADVERTISE_URL: "http://node-4:8080" }
-  node-5:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-5, TURNSTONE_ADVERTISE_URL: "http://node-5:8080" }
-  node-6:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-6, TURNSTONE_ADVERTISE_URL: "http://node-6:8080" }
-  node-7:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-7, TURNSTONE_ADVERTISE_URL: "http://node-7:8080" }
-  node-8:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-8, TURNSTONE_ADVERTISE_URL: "http://node-8:8080" }
-  node-9:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-9, TURNSTONE_ADVERTISE_URL: "http://node-9:8080" }
-  node-10:
-    <<: *node
-    environment: { <<: *node-env, TURNSTONE_NODE_ID: node-10, TURNSTONE_ADVERTISE_URL: "http://node-10:8080" }
+  server-2:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-2, TURNSTONE_ADVERTISE_URL: "http://server-2:8080" }
+  server-3:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-3, TURNSTONE_ADVERTISE_URL: "http://server-3:8080" }
+  server-4:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-4, TURNSTONE_ADVERTISE_URL: "http://server-4:8080" }
+  server-5:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-5, TURNSTONE_ADVERTISE_URL: "http://server-5:8080" }
+  server-6:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-6, TURNSTONE_ADVERTISE_URL: "http://server-6:8080" }
+  server-7:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-7, TURNSTONE_ADVERTISE_URL: "http://server-7:8080" }
+  server-8:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-8, TURNSTONE_ADVERTISE_URL: "http://server-8:8080" }
+  server-9:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-9, TURNSTONE_ADVERTISE_URL: "http://server-9:8080" }
+  server-10:
+    <<: *cluster-server
+    environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-10, TURNSTONE_ADVERTISE_URL: "http://server-10:8080" }
+

deploy/docker-compose.bare-metal.yml

@@ -0,0 +1,40 @@
+# Bare-metal overlay — expose PostgreSQL and let the console reach
+# a turnstone-server running outside Docker on the host machine.
+#
+# Requires TURNSTONE_HOST_IP set to the host's routable IP address.
+#
+# Usage:
+#   export TURNSTONE_HOST_IP="$(hostname -I | awk '{print $1}')"
+#   docker compose --profile production \
+#     -f compose.yaml -f deploy/docker-compose.bare-metal.yml up
+#
+# Then on the host:
+#   export TURNSTONE_JWT_SECRET="<same as .env>"
+#   export TURNSTONE_DB_BACKEND=postgresql
+#   export TURNSTONE_DB_URL="postgresql://turnstone:<pw>@localhost:5432/turnstone"
+#   export TURNSTONE_NODE_ID="bare-metal-1"
+#   export TURNSTONE_ADVERTISE_URL="http://${TURNSTONE_HOST_IP}:8080"
+#   python -m turnstone.server --host 0.0.0.0 --port 8080 \
+#     --base-url http://localhost:8000/v1 --api-key "$OPENAI_API_KEY"
+
+services:
+  postgres:
+    ports:
+      - "${POSTGRES_PORT:-5432}:5432"
+
+  console:
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    environment:
+      # Console needs to reach the bare-metal server on the host
+      TURNSTONE_SERVER_URL: "http://${TURNSTONE_HOST_IP}:${SERVER_PORT:-8080}"
+
+  channel:
+    ports:
+      - "${CHANNEL_PORT:-8091}:8091"
+    environment:
+      # Channel gateway advertises with host-routable IP so the
+      # bare-metal server can reach it for schedule notifications
+      TURNSTONE_CHANNEL_ADVERTISE_URL: "http://${TURNSTONE_HOST_IP}:${CHANNEL_PORT:-8091}"
+      # Channel needs to reach the bare-metal server on the host
+      TURNSTONE_SERVER_URL: "http://${TURNSTONE_HOST_IP}:${SERVER_PORT:-8080}"

deploy/docker-compose.tls.yml

@@ -1,8 +1,7 @@
-# TLS overlay — enables mTLS across the turnstone deployment.
+# TLS overlay — enables mTLS across the turnstone cluster.
 #
-# Layers on the production stack (it patches the `server`, `console`, and
-# `channel` services that file defines):
-#   docker compose -f turnstone/deploy/compose.yaml -f deploy/docker-compose.tls.yml up
+# Usage (requires base compose.yaml with production profile):
+#   docker compose -f compose.yaml -f deploy/docker-compose.tls.yml --profile production up
 #
 # The tls-init service bootstraps a CA and issues certs.
 # All turnstone services auto-provision their own certs via the
@@ -13,7 +12,7 @@ services:
   # Runs as root to create directories in the volume, then chowns
   # to turnstone:turnstone with restrictive perms (keys 0600).
   tls-init:
-    image: ghcr.io/turnstonelabs/turnstone:${TURNSTONE_IMAGE_TAG:-latest}
+    build: .
     user: root
     command:
       - sh

deploy/helm/turnstone/Chart.yaml

@@ -7,6 +7,6 @@ appVersion: "0.3.0"
 
 dependencies:
   - name: postgresql
-    version: ~18.7.0
+    version: ~18.6.0
     repository: https://charts.bitnami.com/bitnami
     condition: postgresql.enabled

deploy/openshell/turnstone-policy.yaml

@@ -103,18 +103,13 @@ network_policies:
       - path: /usr/bin/python3*
       - path: /usr/local/bin/python3*
 
-  # --- Web search (SearxNG) ---
-  # Turnstone talks only to its SearxNG instance over HTTP; SearxNG itself makes
-  # the outbound calls to search engines (and is NOT governed by this policy —
-  # it runs as a separate service). The host/port below is the bundled compose
-  # service name; if your SearxNG runs elsewhere, set it to match
-  # TURNSTONE_SEARXNG_URL.
+  # --- Web search fallback (Tavily) ---
 
-  searxng:
-    name: searxng-search
+  tavily_api:
+    name: tavily-search
     endpoints:
-      - host: searxng
-        port: 8080
+      - host: api.tavily.com
+        port: 443
     binaries:
       - path: /usr/bin/python3*
       - path: /usr/local/bin/python3*

deploy/systemd/README.md

@@ -1,72 +0,0 @@
-# Running a bare-metal turnstone-server under systemd
-
-These units run a `turnstone-server` **outside** Docker (e.g. on a box with a
-local GPU) so it joins an existing cluster — typically the docker-compose stack
-in [`compose.yaml`](../../compose.yaml). They are the hardened, production-shaped
-counterpart to the quick `turnstone-server …` invocation in
-[`docs/docker.md`](../../docs/docker.md) ("Join a bare-metal host").
-
-| File | Purpose |
-|------|---------|
-| `turnstone-server.service` | The hardened server unit (sandboxed; secrets via `config.toml`). |
-| `turnstone.slice` | Shared memory/process budget for colocated Turnstone units. |
-| `turnstone-server.service.d/node.conf.example` | Per-host identity + cluster URLs drop-in (no secrets). |
-
-## Cluster-side prerequisite
-
-The compose stack must publish Postgres, the console's ACME endpoint, and SearxNG
-on an address the bare-metal host can reach. Start it with `TURNSTONE_HOST_IP`
-set to the compose host's LAN IP (default `127.0.0.1` keeps everything host-local):
-
-```bash
-TURNSTONE_HOST_IP=<compose-host-ip> docker compose up -d
-```
-
-## Install (run as root on the bare-metal host)
-
-```bash
-# 1. A dedicated, unprivileged user.
-useradd --system --no-create-home --shell /usr/sbin/nologin turnstone
-
-# 2. Install turnstone into a venv at /opt/turnstone-venv (lacme/mTLS is a core dep).
-uv venv /opt/turnstone-venv --python 3.12
-uv pip install --python /opt/turnstone-venv 'turnstone @ git+https://github.com/turnstonelabs/turnstone'
-#   …or from a local checkout:  uv pip install --python /opt/turnstone-venv /path/to/turnstone
-
-# 3. Secrets — match the cluster's JWT secret + DB credentials (kept out of env).
-install -d -m 750 -o turnstone -g turnstone /etc/turnstone
-cat > /etc/turnstone/config.toml <<'TOML'
-[auth]
-jwt_secret = "<same secret as the cluster>"
-[database]
-backend = "postgresql"
-url = "postgresql+psycopg://turnstone:<password>@<compose-host-ip>:5432/turnstone"
-[api]
-base_url = "http://localhost:8000/v1"   # a real model backend is configured in the console UI
-api_key = "dummy"
-TOML
-chown turnstone:turnstone /etc/turnstone/config.toml
-chmod 600 /etc/turnstone/config.toml
-
-# 4. Units + per-host drop-in.
-cp turnstone-server.service turnstone.slice /etc/systemd/system/
-install -d /etc/systemd/system/turnstone-server.service.d
-cp turnstone-server.service.d/node.conf.example \
-   /etc/systemd/system/turnstone-server.service.d/node.conf
-$EDITOR /etc/systemd/system/turnstone-server.service.d/node.conf   # set the addresses
-
-# 5. Go.
-systemctl daemon-reload
-systemctl enable --now turnstone-server.service
-journalctl -u turnstone-server -f          # watch it register + (if the cluster runs mTLS) enroll
-```
-
-`tls.enabled` is **not** set here — a joining node inherits it from the cluster's
-shared settings (the database). If the cluster runs mTLS, the node auto-enrolls a
-cert from the console's ACME endpoint and re-advertises itself over `https://`.
-
-> **mTLS + cross-host caveat:** a node on a *different* host than the console
-> currently can't complete ACME enrollment — the console advertises an
-> unroutable in-container address in its ACME directory
-> ([turnstonelabs/lacme#22](https://github.com/turnstonelabs/lacme/issues/22)).
-> Same-host bare-metal nodes, and any node in a non-mTLS cluster, are unaffected.

deploy/systemd/turnstone-server.service

@@ -1,85 +0,0 @@
-# Run a bare-metal turnstone-server as a systemd service so it joins a cluster
-# (e.g. the docker-compose stack) from outside Docker — typically to use a local
-# GPU. Install steps + the cluster-side prerequisites are in deploy/systemd/README.md
-# and docs/docker.md ("Join a bare-metal host"). Per-host identity + the cluster
-# URLs go in a drop-in (see node.conf.example); secrets go in config.toml.
-[Unit]
-Description=Turnstone server (chat workstreams + LLM gateway)
-Documentation=https://github.com/turnstonelabs/turnstone
-# Postgres is required. After= orders against a colocated postgresql.service
-# when present and silently no-ops otherwise (the cluster DB is usually remote).
-After=network.target postgresql.service
-StartLimitIntervalSec=60
-StartLimitBurst=5
-
-[Service]
-Type=exec
-User=turnstone
-Group=turnstone
-
-# Secrets live in config.toml — JWT secret, Postgres URL+password, LLM API key —
-# kept out of os.environ so a prompt-injected tool can't dump them via `env`.
-Environment=TURNSTONE_CONFIG=/etc/turnstone/config.toml
-Environment=TURNSTONE_LOG_LEVEL=info
-
-Slice=turnstone.slice
-
-# Per-host node identity + cluster wiring (TURNSTONE_NODE_ID / _ADVERTISE_URL /
-# _CONSOLE_URL / _SEARXNG_URL) go in a drop-in, not here — see node.conf.example.
-
-StateDirectory=turnstone
-StateDirectoryMode=0750
-LogsDirectory=turnstone
-LogsDirectoryMode=0750
-WorkingDirectory=/var/lib/turnstone
-
-# --host 0.0.0.0 so the console collector + peer nodes can dial this node back
-# at its advertised address. (A single-node, Caddy-fronted install can use
-# 127.0.0.1 instead.) Rewrite --port if :8080 is already taken on the host.
-ExecStart=/opt/turnstone-venv/bin/turnstone-server --host 0.0.0.0 --port 8080
-
-Restart=on-failure
-RestartSec=5s
-TimeoutStartSec=120
-TimeoutStopSec=30
-KillSignal=SIGTERM
-KillMode=mixed
-
-# --- Resource limits ---
-# SSE keeps an fd per active workstream + outbound LLM stream + MCP stdio pipe.
-LimitNOFILE=65535
-LimitNPROC=8192
-TasksMax=8192
-LimitCORE=0
-
-# --- Hardening ---
-NoNewPrivileges=true
-CapabilityBoundingSet=
-AmbientCapabilities=
-UMask=0027
-PrivateTmp=true
-# PrivateDevices=true  — disabled: GPU access via /sys/class/drm
-ProtectSystem=strict
-ProtectHome=true
-ProtectKernelTunables=true
-ProtectKernelModules=true
-ProtectKernelLogs=true
-ProtectControlGroups=true
-ProtectClock=true
-ProtectHostname=true
-RestrictNamespaces=true
-RestrictRealtime=true
-RestrictSUIDSGID=true
-RestrictAddressFamilies=AF_UNIX AF_INET AF_INET6
-LockPersonality=true
-MemoryDenyWriteExecute=true
-SystemCallArchitectures=native
-SystemCallFilter=@system-service
-SystemCallFilter=~@privileged @mount
-
-StandardOutput=journal
-StandardError=journal
-SyslogIdentifier=turnstone-server
-
-[Install]
-WantedBy=multi-user.target

deploy/systemd/turnstone-server.service.d/node.conf.example

@@ -1,25 +0,0 @@
-# Per-host node identity + cluster wiring for a bare-metal turnstone-server.
-# Copy to /etc/systemd/system/turnstone-server.service.d/node.conf and edit the
-# addresses, then `systemctl daemon-reload`. Identity + URLs are NOT secrets, so
-# they live here; the JWT secret + DB URL live in /etc/turnstone/config.toml.
-#
-# Addresses below use RFC 5737 documentation IPs — replace them:
-#   <this-host>     = the bare-metal host's own LAN IP (what the console dials back)
-#   <compose-host>  = the host running the cluster / docker-compose stack, started
-#                     with TURNSTONE_HOST_IP=<compose-host> so :8090 and :8081 are
-#                     published on its LAN interface (see docs/docker.md).
-[Service]
-# Unique node id (defaults to the hostname if unset).
-Environment=TURNSTONE_NODE_ID=host-1
-
-# The address peers + the console collector dial back. Auto-upgrades to https://
-# once the node enrolls its mTLS cert.
-Environment=TURNSTONE_ADVERTISE_URL=http://192.0.2.10:8080
-
-# The cluster console's reachable plain-HTTP ACME/API endpoint. A bare-metal node
-# can't resolve the in-cluster name (console:8090), so point it at the published
-# port; turnstone-server honors this for cert enrollment.
-Environment=TURNSTONE_CONSOLE_URL=http://192.0.2.1:8090
-
-# The cluster's published SearxNG, for the web_search tool.
-Environment=TURNSTONE_SEARXNG_URL=http://192.0.2.1:8081

deploy/systemd/turnstone.slice

@@ -1,15 +0,0 @@
-# Shared resource budget for the colocated Turnstone units. Without a slice each
-# unit's MemoryMax= is enforced independently — three units at 85% each can sum
-# to 255% of host RAM before any throttles. Under a shared slice the cap is
-# hierarchical: the slice ceiling is the real limit. (A bare-metal node that runs
-# only turnstone-server still benefits — and keeps the unit's Slice= reference
-# valid.) Adjust if the host runs other meaningful workloads alongside Turnstone.
-[Unit]
-Description=Turnstone services slice (server + console + channel)
-Documentation=https://github.com/turnstonelabs/turnstone
-Before=slices.target
-
-[Slice]
-MemoryHigh=70%
-MemoryMax=85%
-TasksMax=16384

docker/healthcheck.py

@@ -2,69 +2,13 @@
 """Health check for turnstone containers.
 
 Usage: healthcheck.py <url>
-Exit 0 if the endpoint returns {"status": "ok"} or {"status": "degraded"},
-exit 1 otherwise. Uses only stdlib — no pip dependencies required.
-
-When the node serves mTLS (tls.enabled), a plain-HTTP probe is rejected at
-the socket, so on failure this script retries over HTTPS, presenting the
-node's own certificate as the client cert and pinning the cluster CA. The
-PEM files are the ones the server writes at boot under
-$TURNSTONE_TLS_PEM_DIR (default: <tmpdir>/turnstone-tls). The host is
-rewritten to "localhost" for the TLS attempt because the internal CA issues
-DNS SANs only — certificate verification rejects a literal-IP dial.
-
-When mTLS is disabled (the default), the plain probe succeeds and nothing
-here changes: the PEM directory is never consulted.
+Exit 0 if the endpoint returns {"status": "ok"}, exit 1 otherwise.
+Uses only stdlib — no pip dependencies required.
 """
 
 import json
-import os
-import ssl
 import sys
-import tempfile
 import urllib.request
-from pathlib import Path
-from urllib.parse import urlsplit, urlunsplit
-
-
-def _check(url: str, context: ssl.SSLContext | None = None) -> None:
-    """Probe one URL; raise if unreachable or the payload is unhealthy."""
-    req = urllib.request.Request(url, method="GET")
-    with urllib.request.urlopen(req, timeout=5, context=context) as resp:
-        data = json.loads(resp.read().decode())
-    if data.get("status") not in ("ok", "degraded"):
-        raise RuntimeError(f"unhealthy payload: {data}")
-
-
-def _pem_root() -> Path:
-    """PEM runtime root.
-
-    Must mirror turnstone.core.tls.tls_pem_runtime_dir — this script is
-    standalone stdlib and cannot import turnstone; a drift-guard test in
-    tests/test_docker_healthcheck.py pins the two together.
-    """
-    root_env = os.environ.get("TURNSTONE_TLS_PEM_DIR")
-    return Path(root_env) if root_env else Path(tempfile.gettempdir()) / "turnstone-tls"
-
-
-def _find_pem_dir() -> Path | None:
-    """Locate the newest complete PEM dir written by the server at boot."""
-    root = _pem_root()
-    candidates = [
-        d
-        for d in root.glob("lacme-pem-*")
-        if all((d / name).is_file() for name in ("fullchain.pem", "key.pem", "ca.pem"))
-    ]
-    if not candidates:
-        return None
-    return max(candidates, key=lambda d: d.stat().st_mtime)
-
-
-def _tls_url(url: str) -> str:
-    """Rewrite scheme to https and host to localhost, keeping port and path."""
-    parts = urlsplit(url)
-    netloc = f"localhost:{parts.port}" if parts.port else "localhost"
-    return urlunsplit(("https", netloc, parts.path, parts.query, parts.fragment))
 
 
 def main() -> None:
@@ -74,24 +18,16 @@ def main() -> None:
 
     url = sys.argv[1]
     try:
-        _check(url)
-        sys.exit(0)
-    except Exception as plain_exc:
-        pem_dir = _find_pem_dir()
-        if pem_dir is None:
-            print(f"Health check failed: {plain_exc}", file=sys.stderr)
-            sys.exit(1)
-        try:
-            context = ssl.create_default_context(cafile=str(pem_dir / "ca.pem"))
-            context.load_cert_chain(str(pem_dir / "fullchain.pem"), str(pem_dir / "key.pem"))
-            _check(_tls_url(url), context=context)
-            sys.exit(0)
-        except Exception as tls_exc:
-            print(
-                f"Health check failed: plain: {plain_exc}; mtls: {tls_exc}",
-                file=sys.stderr,
-            )
+        req = urllib.request.Request(url, method="GET")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            data = json.loads(resp.read().decode())
+            if data.get("status") in ("ok", "degraded"):
+                sys.exit(0)
+            print(f"Unhealthy: {data}", file=sys.stderr)
             sys.exit(1)
+    except Exception as exc:
+        print(f"Health check failed: {exc}", file=sys.stderr)
+        sys.exit(1)
 
 
 if __name__ == "__main__":

docs/api-reference.md

@@ -63,10 +63,7 @@ Auth is always enabled. All API endpoints except public paths require a valid to
 Include a token in one of two ways:
 
 - **Bearer header**: `Authorization: Bearer <token>`
-- **Cookie**: the surface-scoped auth cookie — `turnstone_auth_server` on
-  turnstone-server, `turnstone_auth_console` on turnstone-console (set
-  automatically by the login endpoint). The names differ so the two surfaces,
-  when co-hosted on one origin, don't overwrite each other's session.
+- **Cookie**: `turnstone_auth=<token>` (set automatically by the login endpoint)
 
 The server accepts two token types:
 
@@ -105,8 +102,7 @@ Authenticate with credentials and receive a JWT. Accepts two credential formats:
 }
 ```
 
-The response also sets a surface-scoped HttpOnly cookie containing the JWT
-(`turnstone_auth_server` on turnstone-server, `turnstone_auth_console` on turnstone-console).
+The response also sets a `turnstone_auth` HttpOnly cookie containing the JWT.
 
 **Response (failure):** `401`
 
@@ -118,8 +114,7 @@ The response also sets a surface-scoped HttpOnly cookie containing the JWT
 
 ### `POST /v1/api/auth/logout`
 
-Clears the surface-scoped auth cookie (`turnstone_auth_server` /
-`turnstone_auth_console`). No request body required.
+Clears the `turnstone_auth` cookie. No request body required.
 
 **Response:** `200`
 
@@ -204,8 +199,7 @@ this endpoint.
 }
 ```
 
-The response also sets a surface-scoped HttpOnly cookie containing the JWT
-(`turnstone_auth_server` on turnstone-server, `turnstone_auth_console` on turnstone-console).
+The response also sets a `turnstone_auth` HttpOnly cookie containing the JWT.
 
 **Response (already set up):** `409`
 
@@ -287,7 +281,6 @@ Each message in the `messages` array has:
 | `role`       | string            | `"user"`, `"assistant"`, or `"tool"`          |
 | `content`    | string or null    | Text content of the message                   |
 | `tool_calls` | array or null     | Present only on assistant messages with calls  |
-| `reasoning`  | string (optional) | Concatenated reasoning / chain-of-thought text on assistant turns whose `provider_data` carried reasoning-bearing blocks (Anthropic `thinking`, OpenAI Responses `reasoning`, or synthetic `reasoning_text` from local-model servers). Present only when the active model's `surface_persisted_reasoning` flag is True. |
 
 Each entry in `tool_calls`:
 
@@ -332,44 +325,6 @@ finalize any in-progress assistant message.
 {"type": "stream_end"}
 ```
 
-**`state_change`** -- the worker thread transitioned to a new state. Drives
-the client's busy-mode (composer in send vs. stop, spinner indicators,
-auto-focus on idle). Sent live during normal operation AND on every fresh
-SSE subscribe (so a mid-stream page refresh restores the correct composer
-state without waiting for the next live transition).
-
-```json
-{"type": "state_change", "state": "running"}
-```
-
-| Field    | Type   | Description                                                          |
-|----------|--------|----------------------------------------------------------------------|
-| `state`  | string | One of `"running"`, `"thinking"`, `"attention"`, `"idle"`, `"error"` |
-
-**`in_progress_snapshot`** -- one-shot replay of the in-progress turn's
-content + reasoning text-so-far when this client connects mid-stream.
-Lets a refreshing browser tab restore partial assistant text immediately
-instead of waiting for the response to complete. Yielded once after the
-kind-specific replay phase (history + pending), only when at least one
-of `content` / `reasoning` is non-empty. Both halves render into the same
-assistant bubble the live `content` / `reasoning` events would target;
-clients should treat the snapshot as idempotent (skip overwrite if the
-current local buffer is already a superset prefix — covers EventSource
-auto-reconnect re-replays).
-
-```json
-{
-  "type": "in_progress_snapshot",
-  "content": "Here is the answer so far: it depends on ",
-  "reasoning": "The user is asking about a comparison; let me think about..."
-}
-```
-
-| Field        | Type   | Description                                                |
-|--------------|--------|------------------------------------------------------------|
-| `content`    | string | Joined assistant content text accumulated this turn        |
-| `reasoning`  | string | Joined reasoning / chain-of-thought text accumulated       |
-
 **`tool_info`** -- one or more tool calls that were auto-approved (no user
 action required).
 
@@ -461,6 +416,13 @@ Each item in `items` (shared by `tool_info` and `approve_request`):
 | `cache_creation_tokens`  | int    | Tokens written to prompt cache (Anthropic)           |
 | `cache_read_tokens`      | int    | Tokens served from prompt cache (Anthropic + OpenAI) |
 
+**`plan_review`** -- the model is proposing a plan and wants feedback. The
+client must respond via `POST /v1/api/plan`.
+
+```json
+{"type": "plan_review", "content": "Step 1: ...\nStep 2: ..."}
+```
+
 **`info`** -- an informational message (e.g. command output).
 
 ```json
@@ -560,13 +522,7 @@ Each SSE connection to a workstream receives its own delivery queue.  Events
 produced by the worker thread are fanned out to all registered listener queues,
 so multiple consumers (browser, console proxy, SDK) can connect
 simultaneously and each receives every event.  On reconnect the client receives
-the kind-specific replay (`connected` + `status` + `history` + pending
-approval / plan for interactive; `connected` + `status` + pending for coord)
-followed by a `state_change` carrying the current worker state and an
-optional `in_progress_snapshot` carrying any partial content / reasoning
-buffered for the in-progress turn — so a mid-stream refresh restores both
-the busy-mode UI and the partial assistant text without waiting for the
-response to complete.
+a full history replay, so no catch-up mechanism is needed.
 
 ---
 
@@ -698,42 +654,6 @@ Each skill summary:
 
 ---
 
-### `GET /v1/api/personas`
-
-Returns the enabled personas offered by the workstream-creation pickers.
-Authenticated for any logged-in user and deliberately gated by **no**
-`persona.*` permission — selecting a persona at creation is a user
-action, while the `persona.*` perms gate authoring. Display fields only;
-the levers (base prompt, tool set, MCP/memory toggles) stay server-side.
-
-**Response:**
-
-```json
-{
-  "personas": [
-    {"name": "engineer", "display_name": "Engineer", "description": "The stock interactive workstream: full tools, MCP, and memory.", "applies_to_kinds": ["interactive"], "is_default": true},
-    {"name": "researcher", "display_name": "Researcher", "description": "Answers questions with evidence — reads and cites, loads tools to verify when needed.", "applies_to_kinds": ["interactive"], "is_default": false}
-  ],
-  "total": 2
-}
-```
-
-Each persona summary:
-
-| Field              | Type   | Description                                                      |
-|--------------------|--------|------------------------------------------------------------------|
-| `name`             | string | Persona slug (used in the `persona` field on workstream creation) |
-| `display_name`     | string | Human-readable label for pickers                                 |
-| `description`      | string | Short description of the persona's intent                        |
-| `applies_to_kinds` | array  | Workstream kinds the persona applies to (`interactive` / `coordinator`) |
-| `is_default`       | bool   | Whether this is the default persona for its kind                 |
-
-> **Note:** For full persona management (create, edit, archive), use the
-> admin endpoints at `/v1/api/admin/personas` (requires the
-> `persona.{create,read,write}` permissions).
-
----
-
 ### `POST /v1/api/workstreams/{ws_id}/send`
 
 Sends a user message to a workstream. Spawns a daemon worker thread that calls
@@ -814,6 +734,36 @@ automatically approved without prompting.
 
 ---
 
+### `POST /v1/api/plan`
+
+Responds to a plan review dialog. The SSE stream must have previously sent a
+`plan_review` event for the given workstream.
+
+**Request body:**
+
+```json
+{"feedback": "", "ws_id": "abc123"}
+```
+
+| Field      | Type   | Required | Description                                             |
+|------------|--------|----------|---------------------------------------------------------|
+| `feedback` | string | yes      | Feedback text; empty string means approval              |
+| `ws_id`    | string | yes      | Target workstream ID                                    |
+
+To approve the plan, send an empty string for `feedback`. To reject or request
+changes, send a non-empty feedback string (e.g. `"reject"` or specific
+revision instructions).
+
+**Response:**
+
+```json
+{"status": "ok"}
+```
+
+**Error:** `404` with `{"error": "Unknown workstream"}` if `ws_id` is invalid.
+
+---
+
 ### `POST /v1/api/command`
 
 Executes a slash command in the given workstream.
@@ -931,7 +881,6 @@ All fields are optional. The body can be empty or an empty JSON object.
 | `auto_approve`   | bool   | false   | Auto-approve all tool calls for this workstream                |
 | `resume_ws`      | string | ""      | Workstream ID to resume atomically during creation (empty = fresh)|
 | `skill`          | string | ""      | Skill name. Applies content (system prompt), model, temperature, reasoning effort, max tokens, auto-approve policy, token budget, and other session config from the skill. Returns 400 if not found or disabled. Ignored when `resume_ws` is set (resumed sessions restore their own skill). |
-| `persona`        | string | ""      | Persona slug. Resolved and snapshotted into the workstream at creation; empty selects the kind's default. |
 | `judge_model`    | string | ""      | Optional model alias for the judge (overrides default judge model for this workstream) |
 
 > **Skill behavior:** When `skill` is specified, the skill's content is injected as a system message and its session config fields (model, temperature, auto-approve, token budget, etc.) override system defaults for the new workstream.
@@ -948,7 +897,6 @@ All fields are optional. The body can be empty or an empty JSON object.
 | `name`          | string | Auto-generated workstream name                      |
 | `resumed`       | bool   | Whether a previous session was successfully resumed |
 | `message_count` | int    | Number of messages in the resumed session (0 if fresh) |
-| `initial_message_status` | string | Present ONLY when the workstream was created but its `initial_message` could not be delivered: `"queue_full"` (a raced live worker's interjection queue was at capacity — resend via `/send`; any uploads stay staged) or `"refused_closed"` (the workstream was closed mid-create). Absent whenever the message was dispatched. |
 
 **Error (limit reached):**
 

docs/architecture.md

@@ -3,8 +3,8 @@
 Turnstone is an AI orchestration platform with tool use, parallel workstreams, and persistent
 memory. It connects to any OpenAI-compatible API (local vLLM, OpenAI, etc.) or
 Anthropic's native Messages API via pluggable provider adapters, and gives the
-model 16 built-in tools plus external tools via MCP (Model Context Protocol) for
-reading, writing, searching, and executing code.
+model 19 built-in tools plus external tools via MCP (Model Context Protocol) for
+reading, writing, searching, planning, and executing code.
 
 The core design principle is a **UI-agnostic engine with pluggable frontends**.
 The engine (`ChatSession`) drives the conversation loop -- streaming, tool
@@ -19,11 +19,10 @@ plugs in.
 | `turnstone` | `turnstone.cli` | `TerminalUI` | Interactive terminal REPL |
 | `turnstone-server` | `turnstone.server` | `WebUI` | Browser-based chat (HTTP + SSE) |
 | `turnstone-console` | `turnstone.console.server` | ClusterCollector | Cluster dashboard (aggregates all nodes) |
-| `turnstone-eval` | `turnstone.eval.cli` | `NullUI` | Headless measurement (scores tool-use against expected actions) |
-| `turnstone-optimizer` | `turnstone.optimizer` | `NullUI` | Prompt/tool optimization (UCB self-modify loop over the eval substrate) |
+| `turnstone-eval` | `turnstone.eval` | `NullUI` | Headless evaluation and prompt optimization |
 | `turnstone-channel` | `turnstone.channels.cli` | ChannelAdapter | Channel gateway (Discord, Slack, etc.) |
 | `turnstone-admin` | `turnstone.admin` | — | Offline user and API token management |
-| `turnstone-doctor` | `turnstone.doctor` | — | LLM-backed cluster diagnostics |
+| `turnstone-bootstrap` | `turnstone.bootstrap` | — | LLM-guided setup wizard |
 
 ---
 
@@ -62,6 +61,7 @@ turnstone/
     ratelimit.py      Per-IP token-bucket rate limiter (RateLimiter, TokenBucket)
     edit.py           File edit utilities (find_occurrences, pick_nearest)
     safety.py         Command safety validation (blocked patterns, sanitization)
+    sandbox.py        Math code sandboxing (AST validation, subprocess execution)
     web.py            Web utilities (HTML stripping, SSRF prevention)
   api/
     schemas.py        Shared Pydantic v2 models (auth, errors, WorkstreamState)
@@ -91,7 +91,7 @@ turnstone/
     discord/          Discord adapter (bot, cog, views, streaming, config)
     slack/            Slack adapter (Socket Mode bot, DM routing, approval buttons)
   shared_static/      Shared design system (base.css, auth.js, theme.js, toast.js, utils.js, kb.js)
-    katex-0.17.0/    Vendored KaTeX math rendering library (MIT, woff2 fonts)
+    katex-0.16.45/    Vendored KaTeX math rendering library (MIT, woff2 fonts)
   ui/
     colors.py         ANSI color constants with NO_COLOR support
     markdown.py       Streaming terminal markdown renderer (line-buffered)
@@ -102,7 +102,7 @@ turnstone/
       renderer.js     Markdown + LaTeX renderer (tables, nested lists, blockquotes, KaTeX math)
       app.js          Split-pane UI (Pane class, binary layout tree, SSE, tool approval)
   tools/
-    *.json            16 tool schemas (OpenAI function-calling format + turnstone metadata)
+    *.json            19 tool schemas (OpenAI function-calling format + turnstone metadata)
 ```
 
 Both UIs share a common design system extracted into `turnstone/shared_static/`: design tokens, login overlay, toast notifications, theme toggle, keyboard shortcuts, and utility functions. Each UI imports `base.css` and the shared JS modules at `/shared/`, then adds only page-specific code at `/static/`.
@@ -190,6 +190,7 @@ Phase 3: EXECUTE (parallel)
     (cancel_event also checked per line — kills process group on cancel)
   Final output (stdout + stderr) delivered via ui.on_tool_result(call_id, name, output)
   call_id links tool_info items → streaming chunks → final result
+  For plan tool: post-execution gate via ui.on_plan_review()
 ```
 
 ### State Transitions
@@ -208,7 +209,7 @@ The engine emits state changes via `_emit_state()` which calls
   "running"   --->  tool execution
       |
       v
-  "attention"  --->  waiting for user approval
+  "attention"  --->  waiting for user approval / plan review
       |
       v
   "running"   --->  executing approved tools
@@ -230,13 +231,11 @@ The engine emits state changes via `_emit_state()` which calls
 
 > See also: [Core Engine Classes diagram](diagrams/png/03-core-engine-classes.png)
 
-Defined in `turnstone.core.session.SessionUI` as a `typing.Protocol` with 15
+Defined in `turnstone.core.session.SessionUI` as a `typing.Protocol` with 14
 methods. Every frontend must implement all of them.
 
 ```python
 class SessionUI(Protocol):
-    def on_turn_start(self) -> None: ...
-    def on_turn_committed(self) -> None: ...
     def on_thinking_start(self) -> None: ...
     def on_thinking_stop(self) -> None: ...
     def on_reasoning_token(self, text: str) -> None: ...
@@ -246,20 +245,13 @@ class SessionUI(Protocol):
     def on_tool_result(self, call_id: str, name: str, output: str, *, is_error: bool = False) -> None: ...
     def on_tool_output_chunk(self, call_id: str, chunk: str) -> None: ...
     def on_status(self, usage: dict, context_window: int, effort: str) -> None: ...
+    def on_plan_review(self, content: str) -> str: ...
     def on_info(self, message: str) -> None: ...
     def on_error(self, message: str) -> None: ...
     def on_state_change(self, state: str) -> None: ...
     def on_rename(self, name: str) -> None: ...  # propagate alias to tab/UI label
 ```
 
-`on_turn_start` fires at the top of each iteration of the send-loop;
-`on_turn_committed` fires immediately after `messages.append(assistant_msg)`.
-`SessionUIBase` uses both to reset the per-turn inflight buffers
-(`_ws_inflight_content` / `_ws_inflight_reasoning` / `_ws_inflight_seq`)
-that fuel the SSE refresh-resume `in_progress_snapshot` event — see
-the per-workstream events stream in
-[`docs/api-reference.md`](api-reference.md#get-v1apiworkstreamsws_idevents).
-
 `on_rename` is called by the `/name` command (on success) and after a successful `/resume` (if the resumed session has an alias or title). `WebUI.on_rename` broadcasts a `ws_rename` event on the global SSE channel and updates the in-memory `Workstream.name`; `TerminalUI.on_rename` is a no-op.
 
 ### Three Implementations
@@ -267,8 +259,8 @@ the per-workstream events stream in
 | Class | Module | Notes |
 |-------|--------|-------|
 | `TerminalUI` | `turnstone.cli` | ANSI colors, `MarkdownRenderer`, `Spinner`, readline-based `input()` for approval |
-| `WebUI` | `turnstone.server` | SSE event queue per workstream + global broadcast, `threading.Event` for blocking on approval. `on_state_change` sends to both per-workstream and global SSE (the browser UI uses per-workstream `state_change` events to manage busy/idle transitions; `stream_end` only finalizes markdown rendering). |
-| `NullUI` | `turnstone.eval.core` | Discards all output; `approve_tools` always returns `(True, None)` |
+| `WebUI` | `turnstone.server` | SSE event queue per workstream + global broadcast, `threading.Event` for blocking on approval/plan. `on_state_change` sends to both per-workstream and global SSE (the browser UI uses per-workstream `state_change` events to manage busy/idle transitions; `stream_end` only finalizes markdown rendering). |
+| `NullUI` | `turnstone.eval` | Discards all output; `approve_tools` always returns `(True, None)` |
 
 ### WorkstreamTerminalUI
 
@@ -279,9 +271,10 @@ awareness:
   are appended to `_output_buffer` instead of written to stdout. When the user
   switches to this workstream, `flush_buffer()` replays them.
 
-- **Approval blocking**: `approve_tools()` calls `_fg_event.wait()` when in
-  background, blocking the worker thread until the workstream is foregrounded.
-  This ensures the user sees the approval prompt in the correct context.
+- **Approval blocking**: `approve_tools()` and `on_plan_review()` call
+  `_fg_event.wait()` when in background, blocking the worker thread until the
+  workstream is foregrounded. This ensures the user sees the approval prompt
+  in the correct context.
 
 - **Foreground/background toggle**: `set_foreground(bool)` sets or clears
   `_fg_event` (a `threading.Event`). The manager calls this during `/ws <N>`
@@ -418,6 +411,7 @@ turnstone metadata keys:
 
 | Metadata Key | Type | Meaning |
 |-------------|------|---------|
+| `agent` | `bool` | Include this tool when running as a plan/task sub-agent |
 | `task_agent` | `bool` | Include this tool when running as a task sub-agent |
 | `auto_approve` | `bool` | Tool is read-only; skip user approval |
 | `primary_key` | `str` | Fallback argument name for bare-string JSON recovery |
@@ -437,6 +431,7 @@ Example (`read_file.json`):
     },
     "required": ["path"]
   },
+  "agent": true,
   "task_agent": true,
   "auto_approve": true,
   "primary_key": "path"
@@ -447,17 +442,19 @@ At import time, `turnstone.core.tools._load_tools()` strips the metadata keys
 from each schema and builds:
 
 - `TOOLS` -- list of `{"type": "function", "function": {...}}` dicts for the API
+- `AGENT_TOOLS` -- subset with `agent: true`
 - `TASK_AGENT_TOOLS` -- subset with `task_agent: true`
-- `TASK_AUTO_TOOLS` -- set of tool names with `auto_approve: true`
+- `AGENT_AUTO_TOOLS` / `TASK_AUTO_TOOLS` -- sets of tool names with `auto_approve: true`
 - `PRIMARY_KEY_MAP` -- `{name: primary_key}` for JSON fallback recovery
 - `merge_mcp_tools(builtin, mcp_tools)` -- merges built-in + MCP tools at session init
 
-### 16 Tools by Category
+### 19 Tools by Category
 
 **Read-only (auto-approve)**:
 - `read_file` -- read file contents with optional offset/limit
 - `diff_file` -- show diff between two files / versions
 - `search` -- ripgrep-based codebase search
+- `man` -- read man pages
 - `recall` -- search conversation history
 - `read_resource` -- read an MCP resource by URI
 
@@ -465,21 +462,23 @@ from each schema and builds:
 - `bash` -- execute shell commands (with safety checks via `turnstone.core.safety`)
 - `write_file` -- create or overwrite a file
 - `edit_file` -- string replacement in an existing file (requires prior `read_file`)
+- `math` -- execute Python in sandboxed subprocess (via `turnstone.core.sandbox`)
 - `web_fetch` -- fetch a URL (with SSRF protection via `turnstone.core.web`)
-- `web_search` -- search the web (provider-native for Anthropic/OpenAI, self-hosted SearxNG fallback for local models)
+- `web_search` -- search the web (provider-native for Anthropic/OpenAI, Tavily fallback for local models)
 - `notify` -- send a user-facing notification (Discord/Slack, optional reply routing)
 - `watch` -- schedule a recurring poll with condition DSL
 
 **Agent (delegated sub-sessions)**:
 - `task_agent` -- delegate to a sub-agent with full tool access (`TASK_AGENT_TOOLS`)
+- `plan_agent` -- explore codebase and write a structured plan (`AGENT_TOOLS`)
 
 **Memory / skills / prompts**:
 - `memory` -- save, search, delete, or list memories (typed and scoped)
 - `skill` -- invoke a skill (governed, versioned procedure)
 - `use_prompt` -- fetch and apply a prompt template
 
-The tool name uses the `_agent` suffix — bare `task` collides with
-chat-template channels on some local models.
+Tool names are `plan_agent` / `task_agent` (not `plan` / `task`); bare words
+collide with chat-template channels on some local models.
 
 ### Prepare / Execute Pattern
 
@@ -498,11 +497,17 @@ separation allows the UI to show previews before any side effects occur.
 
 ### Agent Tools
 
-`task_agent` invokes `_run_agent()`, which runs a multi-turn loop with a
-subset of tools and its own system prompt. The sub-agent runs independently,
-then returns the final content as the tool result.
+`task_agent` and `plan_agent` invoke `_run_agent()`, which runs a multi-turn
+loop with a subset of tools and its own system prompt. The sub-agent runs
+independently, then returns the final content as the tool result.
 
 - **task_agent**: uses `self._task_tools` (`TASK_AGENT_TOOLS` + MCP tools)
+- **plan_agent**: uses `self._agent_tools` (`AGENT_TOOLS` + MCP tools). Writes output
+  to `.plan-<ws_id>.md` — unique per `ChatSession` so concurrent workstreams
+  don't collide. On repeat invocations the prior `plan_agent` tool call and its result
+  are forwarded from `self.messages` so the agent refines the existing plan rather
+  than starting over. Planning instructions are injected as a developer message
+  prepended to the agent's conversation.
 - **Turn limit**: controlled by `agent_max_turns` (default: `-1`, unlimited).
   When a limit is set and reached, the agent is forced to synthesize a final
   response without tools. When unlimited, the loop only exits when the model
@@ -541,16 +546,18 @@ adds, removes, or reconnects servers as needed.
 6. `_exec_mcp_tool()` calls `call_tool_sync()` which dispatches to the async loop
    via `asyncio.run_coroutine_threadsafe()`
 
-**Tool refresh:** Two mechanisms keep tools up-to-date without restart:
+**Tool refresh:** Three mechanisms keep tools up-to-date without restart:
 - **Push:** Servers declaring `tools.listChanged` send `ToolListChangedNotification`;
   the registered `message_handler` triggers immediate single-server refresh.
+- **Periodic:** Servers without push support are polled on a staggered interval
+  (default 4 h, configurable via `[mcp] refresh_interval` or `--mcp-refresh-interval`).
 - **Manual:** `/mcp refresh [server]` calls `refresh_sync()` for on-demand refresh
   (also attempts reconnection for disconnected servers).
 
 When tools change, `_rebuild_tools()` creates new `_tools`/`_tool_map` objects
 (copy-on-write for thread safety) and notifies listener callbacks. Each `ChatSession`
-rebuilds its `_tools` and `_task_tools` lists and reconstructs `ToolSearchManager`
-(preserving expanded tools).
+rebuilds its merged tool lists and reconstructs `ToolSearchManager` (preserving
+expanded tools).
 
 **Tool naming:** `mcp__{server}__{tool}` — double underscore delimiter, validated
 at connection time (server names with `__` are rejected).
@@ -565,11 +572,10 @@ from a healthy connection do not trip the breaker. When the cooldown expires
 (`call_tool_sync`, `read_resource_sync`, `get_prompt_sync`, `refresh_sync`)
 cancel orphaned futures on timeout to prevent coroutine accumulation on the
 background event loop. Push notification refreshes are debounced (5 s per
-server) to protect against notification storms. Operators can force a
-catalog refresh or full reconnect from the admin panel; reconnects clear
-the circuit breaker and run a fresh handshake. Transport stream references
-are pre-closed before stack teardown to work around the MCP SDK's anyio
-cancel-scope CPU busy-loop (SDK #2147).
+server) to protect against notification storms. The periodic refresh loop
+attempts reconnection for disconnected servers with exponential backoff
+(60 s–1 h). Transport stream references are pre-closed before stack teardown to
+work around the MCP SDK's anyio cancel-scope CPU busy-loop (SDK #2147).
 
 **Error isolation:** Per-server connection/refresh failures are caught and logged; other
 servers are unaffected. Tool execution errors return error strings to the LLM
@@ -614,15 +620,14 @@ LLMProvider (protocol)
 | `get_capabilities()` | Per-model flags (`ModelCapabilities`) |
 | `convert_tools()` | Translate OpenAI tool schemas to provider format |
 | `retryable_error_names` | Exception class names that trigger retry |
-| `extract_reasoning_text()` | Walk stored `provider_blocks`, return concatenated reasoning text for UI rehydration (per-provider block-type knowledge: Anthropic `thinking`, OpenAI Responses `reasoning`, OpenAI Chat synthetic `reasoning_text`) |
 
 **Normalized data types:**
 
 | Type | Fields |
 |------|--------|
-| `StreamChunk` | `content_delta`, `reasoning_delta`, `tool_call_deltas`, `info_delta`, `usage`, `finish_reason`, `provider_blocks` |
-| `CompletionResult` | `content`, `tool_calls`, `finish_reason`, `usage`, `provider_blocks` |
-| `ModelCapabilities` | `context_window`, `max_output_tokens`, `supports_temperature`, `token_param`, `thinking_mode`, `supports_effort`, `supports_web_search`, `supports_tool_search`, `supports_vision`, `supports_reasoning_replay` |
+| `StreamChunk` | `content_delta`, `reasoning_delta`, `tool_call_deltas`, `info_delta`, `usage`, `finish_reason` |
+| `CompletionResult` | `content`, `tool_calls`, `finish_reason`, `usage` |
+| `ModelCapabilities` | `context_window`, `max_output_tokens`, `supports_temperature`, `token_param`, `thinking_mode`, `supports_effort`, `supports_web_search`, `supports_tool_search`, `supports_vision` |
 | `UsageInfo` | `prompt_tokens`, `completion_tokens`, `total_tokens`, `cache_creation_tokens`, `cache_read_tokens` |
 
 **OpenAIProvider** (`_openai.py`): passes messages through unchanged (they are
@@ -634,17 +639,8 @@ function tool (the model always searches). Citations from `url_citation`
 annotations are formatted as footnotes. Extended prompt cache retention
 (`prompt_cache_retention: "24h"`) is enabled for GPT-5.x models at no
 additional cost. Cached token counts are extracted from
-`usage.prompt_tokens_details.cached_tokens`. Unknown models get permissive
-defaults with `supports_vision=False` and use SearxNG for web search. The
-`openai-compatible` lane never consults this table at all — on either API
-surface (the responses pin is served by a compat-mode
-`OpenAIResponsesProvider`, mirroring `AnthropicProvider(compat=True)`): a
-local server serves whatever the operator named it (vLLM
-`--served-model-name` is a free string), so a prefix collision with a cloud
-model id must not inherit that model's sampling/effort contract — every
-local model gets the plain defaults, and anything beyond them is declared on
-the model definition (capabilities JSON + `server_compat`), matching the
-`anthropic-compatible` lane.
+`usage.prompt_tokens_details.cached_tokens`. Unknown models (local servers) get
+permissive defaults with `supports_vision=False` and use Tavily for web search.
 
 **AnthropicProvider** (`_anthropic.py`): converts OpenAI-format messages to
 Anthropic content blocks, maps `system`/`developer` roles to the `system`
@@ -662,8 +658,9 @@ display). Automatic prompt caching is enabled via top-level `cache_control:
 cacheable block and advances it as conversations grow (90% input cost
 reduction on cache hits, 1.25x write on first turn). Cache metrics
 (`cache_creation_input_tokens`, `cache_read_input_tokens`) are extracted from
-both streaming and non-streaming responses. The `anthropic` SDK is a core
-dependency — the Anthropic provider is first-class alongside OpenAI.
+both streaming and non-streaming responses. The `anthropic` SDK is imported
+lazily so it remains an optional dependency (`pip install
+turnstone[anthropic]`).
 
 **GoogleProvider** (`_google.py`): extends `OpenAIChatCompletionsProvider` for
 the Gemini `/v1beta/openai/` endpoint. Uses a single default
@@ -712,41 +709,12 @@ agent_model = "claude"
 
 Each `[models.*]` entry produces a `ModelConfig` with a `provider` field
 (default: `"openai"`). Supported values: `"openai"`, `"anthropic"`, `"google"`,
-`"openai-compatible"`, and `"anthropic-compatible"`.
+and `"openai-compatible"`.
 
 **Per-model sampling overrides:** Each model can specify `temperature`,
 `max_tokens`, and `reasoning_effort` to override the global defaults from
 ConfigStore. When unset (`NULL`), the global default is used.
 
-**Per-model reasoning persistence:** Two booleans on `model_definitions`
-(migration 052) control how reasoning text round-trips:
-
-* `surface_persisted_reasoning` (default `True`) — gates whether stored
-  reasoning text is surfaced on `/history` payloads for UI rehydration.
-  **Storage of reasoning bytes happens regardless of this flag** — they
-  ride in `provider_data` independently. Phase-1 admin UI label "Surface
-  persisted reasoning."
-* `replay_reasoning_to_model` (default `False`) — gates whether stored
-  reasoning blocks are sent back to the provider on subsequent turns.
-  Capability-gated: `ModelCapabilities.supports_reasoning_replay` must
-  also be `True` for the wire path to actually replay (canonical OpenAI
-  gpt-5*/o-series and Anthropic Claude entries set it; unknown / local-
-  server models default to `False`).
-
-Three reasoning paths are recognised:
-
-| Path | Provider | Capture | Persist | Replay |
-|------|----------|---------|---------|--------|
-| 1 | Anthropic Messages API | `thinking_delta` | `provider_blocks` (`type="thinking"`) | Verbatim via `_provider_content` |
-| 2 | OpenAI Responses (gpt-5*, o-series) | `response.reasoning_text.delta` events | `provider_blocks` (`type="reasoning"`) — only when `include=["reasoning.encrypted_content"]` | `ResponseReasoningItemParam` input items |
-| 3 | OpenAI Chat Completions (vLLM, llama.cpp, Gemini-compat) | `delta.reasoning_content` Pydantic extras | Synthetic `{type: "reasoning_text", text, source}` block stamped at end-of-stream | None — no API surface for replay on Chat Completions |
-
-Cross-provider safety is enforced by `ANTHROPIC_VALID_BLOCK_TYPES` (a
-shape filter in `_anthropic.py:_convert_messages`): foreign blocks
-(OpenAI `reasoning`, synthetic `reasoning_text`) fall through to the
-text+tool_calls rebuild path rather than reaching Anthropic's input
-boundary as malformed content.
-
 ```toml
 [models.local]
 base_url = "http://localhost:8000/v1"
@@ -775,153 +743,6 @@ model = "qwen-3.5-vl"
 supports_vision = true
 ```
 
-**Anthropic-compatible local servers (vLLM `/v1/messages`):** the
-`"anthropic-compatible"` provider drives local servers that expose
-Anthropic's Messages API for arbitrary checkpoints — vLLM's
-`/v1/messages` endpoint, which requires a release with thinking-block
-support in the Anthropic endpoint (post-2026-02-28; verified against
-v0.22.1rc1). The lane reuses `AnthropicProvider` in compat mode: same
-wire translation as the real Anthropic lane, but every model resolves to
-the `_ANTHROPIC_COMPAT_DEFAULT` capabilities (200K context, 64K output,
-`token_param=max_tokens`, `thinking_mode=none`, no native
-web_search/tool_search, no vision) — the static Claude table never
-applies to local checkpoints. `base_url` is required — the server root
-WITHOUT `/v1` (the Anthropic SDK appends `/v1/messages`); a trailing
-`/v1` pasted out of openai-compatible habit is stripped automatically,
-and an empty value fails at client construction rather than falling
-back to the commercial endpoint. Set a
-placeholder `api_key` (e.g. `"dummy"`) for unauthenticated servers. Tool calling
-needs the server started with `--enable-auto-tool-choice
---tool-call-parser <family>` plus the matching reasoning parser.
-Per-model capability overrides opt in to what the checkpoint actually
-supports:
-
-```toml
-[models.vllm-claude]
-provider = "anthropic-compatible"
-base_url = "http://localhost:8000"   # no /v1 — the SDK appends /v1/messages
-api_key = "dummy"
-model = "deepseek-ai/DeepSeek-V4-Flash"
-
-[models.vllm-claude.capabilities]
-supports_vision = true                    # multimodal checkpoints only
-supports_mid_conversation_system = true   # template-dependent
-context_window = 131072
-thinking_mode = "manual"                  # session effort knob drives the template toggle
-thinking_param = "enable_thinking"        # Qwen/Gemma key; "thinking" for Granite/DeepSeek
-```
-
-Reasoning control does NOT use Anthropic's `thinking` request param —
-the levers live in the chat template, reached through
-`chat_template_kwargs` in the request body. Two channels, dynamic first:
-
-* **Session effort knob (dynamic).** Set the model's thinking mode to
-  "Effort-knob controlled" in the admin Models form (or
-  `thinking_mode = "manual"` + `thinking_param` under
-  `[models.*.capabilities]`) and the provider maps the session's
-  reasoning-effort knob onto the template toggle per-request: effort
-  `none` sends `{<thinking_param>: false}`, any other level sends
-  `true` — the same contract as the real lane's manual mode. ("Always
-  on" / `thinking_mode = "adaptive"` instead always sends `true`: the
-  model self-regulates, so the knob never force-disables — mirroring
-  the native adaptive branch.) The graded effort value always rides
-  alongside the toggle: under `effort_param` when the operator names
-  the template's key, else under the conventional fallback key
-  (`reasoning_effort`) on the anthropic-compatible lane — the user's
-  effort setting always reaches the wire, and a template that doesn't
-  reference the kwarg ignores it. On the openai-compatible lane the
-  undeclared-key case rides the flat top-level `reasoning_effort`
-  param instead (the documented compat field), forwarded verbatim.
-  Optional `reasoning_effort_values` / `default_reasoning_effort`
-  validate the knob before it reaches the server; without declared
-  values the knob is forwarded as-is. The knob is ordinal, and validation
-  respects that: an off-list knob value rounds UP onto the declared
-  list and a value above the ceiling rides the ceiling
-  (`snap_reasoning_effort`) — asking for more effort than the model
-  declares never falls back to a lower default tier.  The knob's
-  `none` position is forwarded verbatim when the model declares an
-  explicit `none` level (gpt-5.1+, grok-4.3) — omitting it there would
-  leave a reasoning-on server default (e.g. gpt-5.5's `medium`) in
-  charge of a knob that promises off — and omitted otherwise; `none`
-  is never a snap target for other positions.
-  `default_reasoning_effort` only catches values the ordinal snap
-  cannot rank (custom strings). Declare values that match the
-  template's documented vocabulary: for DeepSeek-V4, which officially
-  accepts `high`/`max` (Think High is the default thinking tier;
-  `low`/`medium` alias to `high`, `xhigh` to `max`), a
-  `("high", "max")` values list reproduces the official aliasing
-  exactly — `low`/`medium` round up to `high`, `xhigh` to `max` —
-  and freeform passthrough matches it too. To map an undocumented
-  template, probe with per-request `chat_template_kwargs` and compare
-  `input_tokens`. Setting `effort_param` also suppresses the
-  flat top-level `reasoning_effort` request param on the
-  openai-compatible lane — the template channel replaces it, never
-  doubles it. With the default `thinking_mode = "none"` nothing is
-  injected and the server's template default decides.
-
-  Upgrade note: before 1.7.0a7 the openai-compatible lane sent the
-  toggle unconditionally `true` whenever thinking mode was enabled. A
-  stored per-model `reasoning_effort = "none"` now disables thinking
-  on such models — pick any real level (or clear the override) to keep
-  it on. Also since 1.7.0a7 the effort level itself always reaches the
-  wire on the local lanes (previously dropped unless
-  `reasoning_effort_values` was declared): flat `reasoning_effort` on
-  openai-compatible, the `effort_param`-or-fallback template key on
-  anthropic-compatible when reasoning control is engaged.
-* **Operator pin (static).** Entries under `{"chat_template_kwargs":
-  ...}` in the admin Models extra-body field ride the SDK's
-  `extra_body` unconditionally and win over the knob mapping on key
-  collision — e.g. pin `{"enable_thinking": true}` to keep thinking on
-  regardless of the session knob. (Server type and API surface remain
-  openai-compatible-only knobs and stay hidden for this provider.)
-
-The same knob mapping drives the `openai-compatible` lane's Chat
-Completions requests — `merge_reasoning_template_kwargs` is shared by
-both local-server lanes, so `thinking_mode`/`thinking_param`/
-`effort_param` mean the same thing whichever endpoint serves the model.
-Only the Responses API surface (native reasoning) ignores it.
-
-The console surfaces this projection as an *effective effort ladder*:
-the admin model form's per-model effort select and the skill
-launch-config effort select annotate each position with what the
-request will carry, in plain words — a position whose delivered level
-matches its name stays plain ("Max"), a snapped position says so
-("Low — sends high"), the adaptive lanes' none position warns
-"thinking stays on", and budget detail lives in the tooltip. A
-position is never labeled after a sibling that shares its wire (that
-rendered "Max (= minimal)", implying a downgrade the wire doesn't
-contain). Computed server-side by `providers/effort_ladder.py` from
-the same mapping functions the providers use at request time and
-shipped on `/v1/api/models` rows (every row carries `effort_ladder`,
-empty when the capabilities column fails to parse) and
-`POST /v1/api/admin/models/effort-ladder`. The ladder describes what
-Turnstone sends — a server-side template may alias further (DeepSeek-V4
-folds `low`/`medium` into its default `high` tier).
-
-The `anthropic-compatible` lane never sends Anthropic's native
-`thinking`/`output_config` params — they are not in vLLM's request
-schema. The real `anthropic` provider is unaffected: official Claude
-models keep native thinking, budget mapping, and `output_config`
-effort. A gateway fronting *real* Claude on a Messages-shaped URL
-(e.g. a LiteLLM `anthropic/` route to the Claude API) should use
-`provider = "anthropic"` with a custom `base_url`, which keeps the
-native thinking params.
-
-Verified quirks of vLLM's Anthropic endpoint:
-
-* The `thinking` request param is silently dropped — use
-  `chat_template_kwargs` (above) to control reasoning.
-* `stop_sequences` cut the raw stream wherever the text appears —
-  including inside thinking — and report `end_turn` with
-  `stop_sequence=None`. Turnstone does not send stop sequences from
-  this provider.
-* No cache telemetry: `usage` carries input/output token counts only
-  (no `cache_creation_input_tokens` / `cache_read_input_tokens`).
-* Images require a multimodal checkpoint — text-only models return a
-  500 on image blocks, so `supports_vision` stays opt-in per model.
-* Mid-conversation `role: "system"` turns are template-dependent —
-  opt in per model via `supports_mid_conversation_system`.
-
 **Database model definitions:** On server entry points, models can also be
 defined in the `model_definitions` table (admin Models tab). DB models support
 the same per-model sampling overrides. Config.toml models override DB models
@@ -943,7 +764,7 @@ with the same alias in-memory (the DB rows are never modified).
    parameters
 6. `_create_stream_with_retry()` tries the primary model, then each fallback
    alias in order if the primary is unreachable
-7. `_run_agent()` resolves `registry.agent_model` (if set) for task
+7. `_run_agent()` resolves `registry.agent_model` (if set) for plan/task
    sub-agents, allowing a cheaper model for autonomous loops
 
 **Per-workstream selection:** `POST /v1/api/workstreams/new` accepts an optional
@@ -952,7 +773,7 @@ which can override the model before workstream creation.
 
 ### Tool Output Truncation
 
-Tool execution results (bash, read_file, search) are truncated by
+Tool execution results (bash, read_file, search, math, man) are truncated by
 `_truncate_output()` when they exceed `tool_truncation` characters. Truncation
 preserves the first half and last half of the output, with a message in
 between:
@@ -1117,10 +938,9 @@ reconstructs the OpenAI message format from database rows:
   in the same workstream
 
 **Config persistence:** LLM-affecting parameters (`temperature`,
-`reasoning_effort`, `max_tokens`, `instructions`, and the persona
-snapshot — see `docs/personas.md`) are persisted to the
-`workstream_config` table on creation and whenever changed via slash
-commands. `resume()` restores these values so resumed workstreams
+`reasoning_effort`, `max_tokens`, `instructions`, `creative_mode`) are
+persisted to the `workstream_config` table on creation and whenever changed
+via slash commands. `resume()` restores these values so resumed workstreams
 behave identically to the original.
 
 **`/clear` vs `/new`:** `/clear` wipes in-memory context but preserves
@@ -1199,12 +1019,11 @@ warns if the summary was truncated.
   unhandled promise rejections
 - **Pending approval across tab switches**: `WebUI._pending_approval` stores
   the `approve_request` event payload while the session is blocked waiting
-  for user response. On tab switch / reconnect the pane reloads history via
-  REST `GET /history` and then reconnects SSE; the live approval event is
-  re-injected. The server-side `project_history_messages` projection marks
-  the trailing orphan tool-call turn `"pending": true` so `replayHistory`
-  skips the false `✓ approved` badge; the live approval UI is rendered by
-  the re-injected event instead.
+  for user response. On SSE reconnect (e.g., switching back to the tab),
+  the event is re-injected after history replay. `_build_history` marks the
+  pending tool call as `"pending": true` so `replayHistory` skips the
+  false `✓ approved` badge; the live approval UI is rendered by the
+  re-injected event instead.
 - **Browser history integration**: `history.pushState` is called in
   `switchTab()` with `{turnstone: 'workstream', wsId}`. The initial state is
   seeded with `history.replaceState({turnstone: 'dashboard'})` on load. The
@@ -1292,8 +1111,7 @@ Three hierarchical scopes control endpoint access:
    `/metrics`, `/openapi.json`, `/docs`, `/api/auth/*`, and `/api/auth/setup`
    are always allowed.
 2. **Token extraction** — `Authorization: Bearer <token>` header first, then
-   surface-scoped auth cookie (`turnstone_auth_server` on the node server,
-   `turnstone_auth_console` on the console) as fallback.
+   `turnstone_auth` cookie as fallback.
 3. **Token type detection** — dots in the token indicate JWT; `ts_` prefix
    indicates API token.
 4. **Validation** — JWT signature check or API token hash lookup in storage.
@@ -1382,6 +1200,7 @@ Starlette ASGI app (served by uvicorn)
   +-- Async request handlers (all under /v1/ prefix)
   |     POST /v1/api/workstreams/{ws_id}/send    -> starts worker thread per workstream
   |     POST /v1/api/workstreams/{ws_id}/approve -> unblocks WebUI._approval_event
+  |     POST /v1/api/plan                        -> unblocks WebUI._plan_event
   |     POST /v1/api/workstreams/new             -> creates workstream + worker
   |     GET  /v1/api/workstreams/{ws_id}/events  -> SSE via EventSourceResponse (per workstream)
   |     GET  /v1/api/events/global               -> SSE via EventSourceResponse (fan-out)
@@ -1391,7 +1210,7 @@ Starlette ASGI app (served by uvicorn)
   |
   +-- Worker thread per workstream (daemon)
   |     Runs session.send() synchronously -- ChatSession is fully blocking
-  |     Blocks on WebUI._approval_event (threading.Event)
+  |     Blocks on WebUI._approval_event / _plan_event (threading.Event)
   |
   +-- Background daemon threads
         Global SSE fan-out: reads global_queue, copies to per-client queues
@@ -1415,7 +1234,7 @@ registry).
 
 Each workstream's `WebUI` has:
 - `_listeners` (per-client SSE queues, fan-out on `_enqueue()`)
-- `_approval_event` (`threading.Event` for blocking)
+- `_approval_event` / `_plan_event` (`threading.Event` for blocking)
 - `_global_queue` (class variable, shared, for state broadcasts)
 
 The SSE handlers bridge these sync queues to async via
@@ -1671,7 +1490,8 @@ implemented in `turnstone/core/judge.py`:
 The judge is session-scoped (`IntentJudge`), lazy-initialized on first
 approval, and configured via the `[judge]` config section or `--judge` CLI
 flags. By default it uses self-consistency (same model), but supports
-cross-model and cross-provider configurations. Task sub-agents are exempt. All verdicts are persisted to the `intent_verdicts` table
+cross-model and cross-provider configurations. Sub-agents (plan, task)
+are exempt. All verdicts are persisted to the `intent_verdicts` table
 (migration 012) with the user's final decision, enabling future calibration.
 The console exposes `GET /v1/api/admin/verdicts` for audit queries
 (requires `admin.judge` permission).

docs/bulk-endpoints.md

@@ -12,6 +12,7 @@ Existing bulk endpoints at time of writing:
 |---------------------------------------------------------|--------------------------|------------------------------------------|
 | `GET  /v1/api/cluster/ws/live?ids=a,b,c`                | bulk read                | `{results, denied, truncated}`           |
 | model tool `spawn_batch`                                 | bulk create (per-item)   | `{results, denied}`                      |
+| `POST /v1/api/workstreams/{ws_id}/stop_cascade`          | cascade mutation         | `{cancelled, failed, skipped}`           |
 | `POST /v1/api/workstreams/{ws_id}/close_all_children`    | cascade mutation         | `{closed, failed, skipped}`              |
 
 ---
@@ -109,18 +110,11 @@ owns it; the node is just currently unreachable.
 
 ### Example — `spawn_batch`
 
-This is the coordinator-tool result shape (the JSON the LLM receives),
-not an HTTP API response — the table above keys it under "model tool"
-to distinguish it from the `/v1/api/...` endpoints in the same table.
-The underlying HTTP spawn endpoint still returns `ws_id`; the tool
-result re-keys it to `child_ws_id` to defuse a coordinator-LLM recency
-bias (see `docs/coordinator-skills.md`).
-
 ```json
 {
   "results": {
-    "0": {"child_ws_id": "d4e5f6...", "name": "csrf-audit", "node_id": "gpu-3"},
-    "2": {"child_ws_id": "f1a2b3...", "name": "xss-audit",  "node_id": "gpu-1"}
+    "0": {"ws_id": "d4e5f6...", "name": "csrf-audit", "node_id": "gpu-3"},
+    "2": {"ws_id": "f1a2b3...", "name": "xss-audit",  "node_id": "gpu-1"}
   },
   "denied": [
     {"idx": 1, "reason": "skill not found: nonexistent-skill"}
@@ -145,7 +139,7 @@ consistently-typed across the read and create cases.
 ```
 
 Where `<bucket>` is the endpoint-specific name for "succeeded" —
-`closed` for `close_all_children`.
+`cancelled` for `stop_cascade`, `closed` for `close_all_children`.
 The three buckets partition the input set exactly once:
 
 | Bucket        | Meaning                                                                       |
@@ -160,6 +154,20 @@ be partial.  `skipped` is pre-resolved — the target is already in
 the terminal state the cascade was aiming at, so it's neither a
 win to report nor a fault to fix.
 
+### Example — `stop_cascade`
+
+```json
+{
+  "status": "ok",
+  "cancelled": ["child-1", "child-3"],
+  "failed":    [],
+  "skipped":   ["child-2"]
+}
+```
+
+A subsequent retry would target only `failed` ids, not `skipped`
+ones — the latter are already done.
+
 ### Example — `close_all_children`
 
 ```json
@@ -171,12 +179,10 @@ win to report nor a fault to fix.
 }
 ```
 
-Here the success bucket is `closed`.  A subsequent retry would
-target only `failed` ids, not `skipped` ones — the latter are
-already done.  When `coord_client` is unavailable (session loaded
-but no HTTP client attached — a construction bug) every id goes to
-`failed` so the operator notices rather than getting a silent
-all-skipped response.
+Same partition, different success-bucket name.  When `coord_client`
+is unavailable (session loaded but no HTTP client attached — a
+construction bug) every id goes to `failed` so the operator notices
+rather than getting a silent all-skipped response.
 
 ---
 
@@ -219,12 +225,12 @@ all-skipped response.
 
 - **Phase 6** shipped `cluster/ws/live` as the first Shape A endpoint
   (`{results, denied, truncated}`).
-- **Phase 7** introduced the Shape B cascade-mutation envelope
-  (`{<bucket>, failed, skipped}`) for the coordinator's
-  cancel-cascade path.
+- **Phase 7** shipped `stop_cascade` as the first Shape B endpoint
+  (`{cancelled, failed, skipped}`).
 - **Phase 8 PR A** shipped `spawn_batch` (Shape A, keyed by idx) and
-  `close_all_children` (Shape B), which crystallised the
-  two-shape-per-semantic-category policy codified here.
+  `close_all_children` (Shape B, twin of `stop_cascade`), which
+  crystallised the two-shape-per-semantic-category policy codified
+  here.
 
 Before adding a third shape, read this doc and argue for why the
 new surface doesn't fit either A or B.  Two idioms in the cluster

docs/channels.md

@@ -99,10 +99,10 @@ TURNSTONE_DISCORD_GUILD=123456789
 Then start the stack:
 
 ```bash
-docker compose up
+docker compose --profile production up
 ```
 
-The `channel` gateway runs by default; the Discord adapter activates once
+The `channel` service starts automatically when
 `TURNSTONE_DISCORD_TOKEN` is set.
 
 ### 3. Link User Accounts
@@ -179,6 +179,7 @@ both and the gateway hosts both adapters in one process.
   see starts a per-user channel session.
 - Tool approvals render as Slack **Block Kit** buttons; only the user
   who owns the workstream can approve/reject.
+- Plan reviews render as a modal with approve / request-changes actions.
 - Notifications and reply routing work identically to Discord.
 - Session recovery: persisted channel routes are re-subscribed when the
   bot restarts, so existing Slack conversations keep flowing.
@@ -234,6 +235,15 @@ config, the bot auto-responds with approval and posts a
 field (useful for allowing specific tools like `bash` or `read_file` while
 still requiring manual approval for others).
 
+### Plan Reviews
+
+Plan review requests are displayed as a blue embed with:
+
+- **Approve Plan** (green) button — approves the plan with empty feedback
+- **Request Changes** (gray) button — opens a modal for feedback text
+  (up to 2000 characters)
+- Feedback is forwarded to the server via HTTP
+
 ---
 
 ## Configuration Reference
@@ -421,9 +431,9 @@ message with a `ws_id` so that user replies can be routed back to the
 originating workstream. Adapters must track the mapping from outgoing
 message ID to `(ws_id, target_user_id)` and handle DM replies.
 
-Platform-specific concerns — approval prompts, message edits, thread
-creation — live inside the adapter implementation and are not part of
-the protocol surface. Each adapter drives those via its
+Platform-specific concerns — approval prompts, plan reviews, message
+edits, thread creation — live inside the adapter implementation and are
+not part of the protocol surface. Each adapter drives those via its
 own `_on_ws_event` dispatcher using SDK-native APIs.
 
 To add a new platform:

docs/console.md

@@ -379,7 +379,6 @@ Breadcrumb: `Cluster > Running` or `Cluster > db-west-04`. Server-side paginated
 Triggered by the "+ new" header button. A modal dialog with:
 
 - **Node selector** — dropdown with three targeting modes: "Auto (best available)" picks the node with the most headroom, "General pool (any node)" picks a node with available capacity using round-robin, or a specific node from the list (showing capacity).
-- **Persona** — optional dropdown listing the enabled personas for the workstream kind. Sets the system-message composition and capability envelope at creation, snapshotted server-side; empty uses the kind's default. Picking one requires no `persona.*` permission.
 - **Profile** — optional dropdown listing enabled skills. Applies the skill's model, auto-approve policy, token budget, and other behavioral settings at creation time.
 - **Name** — optional text input. Auto-generated if left empty.
 - **Model** — optional text input for a model alias from the target node's registry.
@@ -397,9 +396,9 @@ The browser maintains a local `clusterState` object that mirrors the cluster sna
 
 Accessed via the "admin" button in the header (visible when authenticated
 with `approve` scope). Provides user, API token, channel link, MCP server,
-and skill management with tabs that include Users, API Tokens, Channels,
-Schedules, Watches, Personas, Roles, Policies, Prompts, Judge, Skills,
-MCP Servers, Usage, Audit, Memories, Models, Nodes, Settings, and TLS.  See also
+and skill management with 18 tabs (Users, API Tokens, Channels, Schedules,
+Watches, Roles, Policies, Prompts, Judge, Skills, MCP Servers, Usage,
+Audit, Memories, Models, Nodes, Settings, TLS).  See also
 [Governance](governance.md) for the Roles, Policies, Skills, Usage, and
 Audit tabs, and [Settings](settings.md) for the database-backed
 configuration editor.

docs/coordinator-api-tour.md

@@ -18,7 +18,7 @@ schema changes.
 > auth and the `admin.coordinator` permission.  A session-scoped JWT
 > is minted per login (see [docs/oidc.md](oidc.md) / [docs/security.md](security.md));
 > a service token may call the read paths but destructive governance
-> paths (`/restrict`, `/close_all_children`) require
+> paths (`/restrict`, `/stop_cascade`, `/close_all_children`) require
 > the explicit `admin.coordinator` grant — a service-token owner
 > match isn't enough.
 
@@ -44,6 +44,7 @@ schema changes.
 | 6 | Wait for fan-out             | model-side tool `wait_for_workstream`                       |
 | 7 | Govern                       | `POST /v1/api/workstreams/{ws_id}/trust`                    |
 |   |                              | `POST /v1/api/workstreams/{ws_id}/restrict`                 |
+|   |                              | `POST /v1/api/workstreams/{ws_id}/stop_cascade`             |
 |   |                              | `POST /v1/api/workstreams/{ws_id}/close_all_children`       |
 | 8 | Approve / cancel             | `POST /v1/api/workstreams/{ws_id}/approve`                  |
 |   |                              | `POST /v1/api/workstreams/{ws_id}/cancel`                   |
@@ -52,7 +53,7 @@ schema changes.
 Refer to `/openapi.json` (Swagger UI at `/docs`) on any
 `turnstone-console` process for the authoritative operation ids and
 schemas. Coordinator-only verbs (`/children`, `/trust`, `/restrict`,
-`/close_all_children`) 404 against `kind=interactive`
+`/stop_cascade`, `/close_all_children`) 404 against `kind=interactive`
 rows; the shared verbs (`/send`, `/approve`, `/cancel`, `/events`,
 `/history`, `/open`, `/close`, etc.) work on both kinds.
 
@@ -114,8 +115,7 @@ with a `type` field.  The recurring shapes a UI has to handle:
 | `tool_output_chunk` | Streaming tool output (e.g. long bash command)                                             | `call_id`, `chunk` |
 | `approve_request`   | One or more tool calls need operator approval                                              | `items: [{call_id, header, preview, func_name, approval_label, needs_approval}]` |
 | `approval_resolved` | Operator answered the approval prompt                                                      | `approved`, `feedback` |
-| `state_change`      | Worker-thread state transition (also re-emitted with the current state on every fresh subscribe so refresh-mid-stream restores composer mode) | `state` ∈ `running`, `thinking`, `attention`, `idle`, `error` |
-| `in_progress_snapshot` | One-shot replay of the in-progress turn's content + reasoning when this client connects mid-stream                              | `content`, `reasoning` |
+| `state_change`      | Worker-thread state transition                                                             | `state` ∈ `running`, `thinking`, `attention`, `idle`, `error` |
 | `status`            | Token usage + context-window snapshot (fires on every streaming tick)                      | `prompt_tokens`, `completion_tokens`, `total_tokens`, `context_window`, `pct`, `effort`, `cache_creation_tokens`, `cache_read_tokens` |
 | `rename`            | Session's display name changed                                                             | `name` |
 | `intent_verdict`    | Intent judge produced a verdict on a pending tool call                                     | `risk_level`, `recommendation`, `reasons` |
@@ -130,13 +130,9 @@ with a `type` field.  The recurring shapes a UI has to handle:
 
 **Reconnection contract:** a freshly-opened SSE connection receives
 the current snapshot of any pending tool approval (`approve_request`
-is re-sent if unresolved), any in-flight `wait_*` / `batch_*`
-indicator, the worker's current `state_change`, and an
-`in_progress_snapshot` carrying any partial content / reasoning the
-model has produced for the in-progress turn — so a tab refresh
-mid-approval, mid-tool-execution, or mid-stream restores both the
-correct composer mode and the partial assistant text without waiting
-for the response to complete.
+is re-sent if unresolved) and any in-flight `wait_*` / `batch_*`
+indicator — so a tab refresh mid-approval doesn't strand the
+operator.
 
 ---
 
@@ -236,21 +232,14 @@ Key properties:
   tool with a fresh timeout.
 - **Modes** — `mode="any"` returns as soon as one child reaches a
   real terminal state (`idle` / `error` / `closed` / `deleted`);
-  `mode="all"` waits for every polled child to reach a real
-  terminal state.
+  `mode="all"` waits for every polled child.
 - **Progress throttling** — the poll loop runs every 500 ms but the
   SSE emission is diff-on-state-change plus a 5-second heartbeat.  A
   600 s wait generates O(dozens) of progress events, not 1200.
-- **Unresolvable ids** — ws_ids are validated up front (exactly
-  32 hex chars; copy them verbatim): a malformed id fails the call
-  immediately with did-you-mean suggestions and a roster of the
-  coord's children.  An id the caller doesn't own, a missing row, or
-  a child hard-deleted mid-wait is reported as `state="not_found"`
-  and aborts the wait on the tick that observes it (top-level
-  `error` / `not_found` / `children` fields, `complete=false`) — the
-  LLM should fix the id and re-issue, not conclude the child died.
-  Foreign and missing collapse into one shape, so the wait can't be
-  used as an existence oracle.
+- **Denied rows** — an id the caller doesn't own (cross-tenant) or a
+  missing row is reported as a `denied` state in the results dict;
+  `mode="any"` won't satisfy on a pure-denied list (the LLM should
+  treat it as a config error, not a completion).
 
 Prefer `wait_for_workstream` over polling `inspect_workstream` in a
 loop — a wait consumes one assistant turn regardless of how long the
@@ -260,10 +249,10 @@ rounds to a 10× token-efficiency win.
 
 ---
 
-## 7. Governance — trust, restrict, close_all_children
+## 7. Governance — trust, restrict, stop_cascade, close_all_children
 
-These three endpoints let an operator steer a live coordinator session
-mid-flight.  All three emit an audit event tagged
+These four endpoints let an operator steer a live coordinator session
+mid-flight.  All four emit an audit event tagged
 `coordinator.<action>` via the dedicated audit executor so a cascade
 burst can't starve audit writes.
 
@@ -293,6 +282,28 @@ idempotent — calling twice with overlapping lists converges to the
 union.  Revocations don't survive a session close/reopen; operators
 opt in per session.  Cap 256 tool names per request, 128 chars each.
 
+### `POST /stop_cascade` — cancel the subtree
+
+```http
+POST /v1/api/workstreams/{ws_id}/stop_cascade
+{}
+```
+
+Cancels the coordinator's in-flight generation AND dispatches
+`cancel_workstream` through the routing proxy for every direct
+child in the in-memory registry.  Returns:
+
+```json
+{"status": "ok", "cancelled": ["child-1", "child-3"], "failed": [], "skipped": ["child-2"]}
+```
+
+Response uses the [cascade-mutation bulk shape](bulk-endpoints.md):
+`cancelled` = accepted, `failed` = dispatch error worth retrying,
+`skipped` = upstream 404 (already gone — stale registry entry or
+the row was deleted between snapshot and dispatch).  Grandchildren
+aren't touched directly; they sit behind their parent's cancel and
+propagate via the child's SSE stream.
+
 ### `POST /close_all_children` — soft-close the direct fan-out
 
 ```http
@@ -306,16 +317,16 @@ Response:
 {"status": "ok", "closed": ["c-1", "c-2"], "failed": [], "skipped": []}
 ```
 
-Soft-close cascade bounded by a concurrency semaphore.  The `reason`
-(up to 512 chars) propagates into each closed child's audit +
-`workstream_config` for postmortem.  The model-facing tool that
-pairs with this endpoint asks for a bounded teardown of the
-coordinator's own fan-out.  This *soft-closes*; to *cancel* the
-fan-out instead, cancel the coordinator (§8) — a coordinator cancel
-auto-cascades to its direct children.
+Soft-close cascade bounded by the same semaphore as `stop_cascade`.
+The `reason` (up to 512 chars) propagates into each closed child's
+audit + `workstream_config` for postmortem.  Unlike `stop_cascade`
+this does NOT recurse into grandchildren — the model-facing tool
+that pairs with this endpoint asks for a bounded teardown of the
+coordinator's own fan-out.  For a full-subtree teardown, use
+`stop_cascade`.
 
-See [bulk-endpoints.md](bulk-endpoints.md) for why `close_all_children`
-uses the cascade-mutation shape and how it differs from the
+See [bulk-endpoints.md](bulk-endpoints.md) for why both endpoints
+share the cascade-mutation shape and how it differs from the
 `spawn_batch` / `cluster/ws/live` shape.
 
 ---
@@ -333,10 +344,7 @@ POST /v1/api/workstreams/{ws_id}/approve
 {"approved": true, "feedback": null, "always": true}    // always-approve this tool name
 ```
 
-`cancel` drops the coordinator's in-flight generation and, for a
-coordinator, auto-cascades the cancel to its direct children:
-`cancel_workstream` is dispatched through the routing proxy for
-every direct child in the registry.  The coordinator itself is left
+`cancel` drops the in-flight generation but leaves the coordinator
 idle and open for a fresh `send`:
 
 ```http
@@ -353,10 +361,9 @@ POST /v1/api/workstreams/{ws_id}/close
 {}
 ```
 
-Soft-closes the session — state persists, children keep running
-(wind them down first with `close_all_children`, or by cancelling
-the coordinator, which cascades the cancel to its direct children),
-the worker thread exits, SSE streams send a final `stream_end` and
+Soft-closes the session — state persists, children keep running (use
+`close_all_children` or `stop_cascade` first to wind them down), the
+worker thread exits, SSE streams send a final `stream_end` and
 disconnect.  The row is reopenable via
 `POST /v1/api/workstreams/{ws_id}/open` so long as it hasn't been
 deleted.
@@ -366,12 +373,12 @@ deleted.
 ## Further reading
 
 - [coordinator-skills.md](coordinator-skills.md) — writing a skill
-  that runs on a coordinator session (orchestrator framing,
+  that runs on a coordinator session (orchestrator persona,
   workflow patterns, `SkillKind` classifier).
 - [bulk-endpoints.md](bulk-endpoints.md) — the two bulk-shape
   idioms (`{results, denied, truncated}` vs
   `{<bucket>, failed, skipped}`) used by `cluster/ws/live`,
-  `spawn_batch`, and `close_all_children`.
+  `spawn_batch`, `stop_cascade`, and `close_all_children`.
 - [architecture.md](architecture.md) — cluster-wide architecture
   including how coordinator sessions fit next to node-hosted
   interactive workstreams.

docs/coordinator-skills.md

@@ -1,59 +1,47 @@
 # Writing a coordinator-specific skill
 
-A skill is prompt-level framing that steers a Turnstone session
+Skills are prompt-level personas that steer a Turnstone session
 toward a narrow task.  Most skills target **interactive** sessions —
 the single-workstream "do this thing" surface where the model wields
 `bash`, `edit_file`, `web_fetch`, and the rest of the maker toolset.
 
 A **coordinator skill** is different.  It runs on a session whose job
 is to orchestrate other sessions.  The toolset is smaller and
-narrower, the role is an orchestrator instead of a maker, and the
+narrower, the persona is an orchestrator instead of a maker, and the
 success metric is "did the plan resolve" instead of "did the code
 compile".  This doc covers the differences a skill author has to
 care about.
 
 ---
 
-## `kind` — authored audience metadata
+## The two-surface model
 
 A row in `prompt_templates` carries a `kind` column (see
 [`turnstone/core/skill_kind.py`](../turnstone/core/skill_kind.py);
 migration 044 added the column).  Three values:
 
-| `SkillKind` enum        | Stored as       | Meaning                                                                    |
-|-------------------------|-----------------|----------------------------------------------------------------------------|
-| `SkillKind.INTERACTIVE` | `"interactive"` | Authored for the interactive maker role (single-workstream "do this"). |
-| `SkillKind.COORDINATOR` | `"coordinator"` | Authored for the orchestrator role (delegate, monitor, synthesise).    |
-| `SkillKind.ANY`         | `"any"`         | Either surface (or audience-neutral).  Default on create.                 |
+| `SkillKind` enum     | Stored as                   | Visible in                                                                |
+|----------------------|-----------------------------|---------------------------------------------------------------------------|
+| `SkillKind.INTERACTIVE` | `"interactive"`          | Only the interactive-session activation path.  `list_skills` on a coord won't show it. |
+| `SkillKind.COORDINATOR` | `"coordinator"`          | Only the coordinator's `list_skills` tool.  Hidden from interactive activation pickers. |
+| `SkillKind.ANY`         | `"any"`                  | Both surfaces.  Default for legacy rows predating the classifier.        |
 
-The `kind` field is a `StrEnum` — drop-in `str` compatible — so DB
-rows, JSON payloads, and `==` comparisons all work without translation
-at the edge.
+The `kind` field is a `StrEnum` — drop-in ``str`` compatible — so
+DB rows, JSON payloads, and `==` comparisons all work without
+translation at the edge.
 
-**`kind` is metadata, not an enforcement boundary.**  The model can
-`skills(action='find')` across every kind from any session, `get` any
-row by name, and `load` any visible skill regardless of session kind.
-Actual runtime capability is gated by `allowed_tools` + `auto_approve`
-on the skill and the operator's approval card on every `load` /
-`spawn_workstream(skill=...)` decision — `kind` doesn't add or remove
-any of that.  It's a sorting / grouping / search-narrowing hint.
+When a coordinator calls `list_skills`, the SQL filter narrows to
+`kind IN ('coordinator', 'any')`.  When an interactive session picks
+a skill at activation, the filter narrows to
+`kind IN ('interactive', 'any')`.  A skill author tags once at
+creation; the two surfaces stay partitioned without any
+per-call filtering on the LLM side.
 
-The opt-in filter is on `skills(action='find', kind='coordinator')`
-(or `'interactive'`) — pass it when you want to narrow a catalog
-browse to a specific authored audience.  Omitting it (or passing
-`kind='any'`) returns the full catalog.  When supplied, the storage
-filter widens to `[<kind>, 'any']` so audience-neutral rows remain
-visible inside the narrowed view.
-
-**Tagging a new skill as coordinator-targeted** — set `kind` to
-`SkillKind.COORDINATOR` (or the literal `"coordinator"`) when you
-`skills(action='create', kind='coordinator', ...)` or POST to
-`/v1/api/admin/skills`.  Use this to signal intent to other skill
-authors and to make the orchestrator-targeted catalog easy to
-browse — not to hide the skill from interactive sessions.  Existing
-rows default to `SkillKind.ANY`; bump them to `COORDINATOR` if
-you've rewritten the prompt around the orchestrator toolset and
-want the kind filter to surface them as such.
+**Tagging a new skill as coordinator-only** — set `kind` to
+`SkillKind.COORDINATOR` (or the literal string `"coordinator"`) when
+you POST to `/v1/api/admin/skills`.  Existing rows default to
+`SkillKind.ANY`; bump them to `COORDINATOR` if you've rewritten the
+prompt around the orchestrator toolset.
 
 ---
 
@@ -76,9 +64,7 @@ or MCP config can do adds to it.  Current members:
 | `cancel_workstream`       | wind-down       | Drop the in-flight generation; leaves child idle for a fresh send.  |
 | `delete_workstream`       | wind-down       | Hard-delete one child.  Requires approval.                          |
 | `list_nodes`              | discover        | Enumerate live cluster nodes + capabilities.                        |
-| `skills` (action=find)    | discover        | Browse the skill catalog; opt-in `kind` filter narrows by audience. |
-| `memory`                  | persist         | Durable orchestration memory (`coordinator` scope, per-user — survives across coordinator sessions). |
-| `notify`                  | broadcast       | Post a status update to a human channel at a narrative beat.        |
+| `list_skills`             | discover        | Coordinator-visible skills only (SkillKind filter above).           |
 | `tasks`                   | plan            | Orchestrator-only scratchpad.  Children don't see it.               |
 
 Explicitly **not** in the coordinator set:
@@ -86,8 +72,8 @@ Explicitly **not** in the coordinator set:
 - `bash` / `edit_file` / `write_file` / `append_file` / `diff_file` — no local FS.
 - `read_file` / `search` — no local FS reads.
 - `web_fetch` / `web_search` — no direct web access.
-- `task_agent` — sub-agent tool is zeroed on coord sessions.
-- `recall` / `watch` / `read_resource` / `use_prompt` — UX / persistence tools that belong to interactive sessions.  The dual-kind `memory` / `skills` / `notify` tools are available on both kinds (see the table above).
+- `task_agent` / `plan_agent` — sub-agent tools are zeroed on coord sessions.
+- `memory` / `recall` / `notify` / `watch` / `read_resource` / `use_prompt` / `skill` — the orchestrator's "memory" is its children's outputs; these UX / persistence tools belong to interactive sessions.
 
 If your skill needs a coordinator to "run a command" or "read a
 file", write the delegate pattern instead: spawn a child with an
@@ -96,20 +82,20 @@ for the output.  The coordinator stays the orchestrator.
 
 ---
 
-## Framing differences
+## Persona differences
 
 Interactive skills compose on top of `base_interactive.md` — a
-"maker" framing: get the work done, use the tools, edit the code,
+"maker" persona: get the work done, use the tools, edit the code,
 close the loop.
 
 Coordinator skills compose on top of
-[`personas/orchestrator.md`](../turnstone/prompts/personas/orchestrator.md) —
-an "orchestrator" framing: decompose, delegate, monitor, synthesise.
+[`base_coordinator.md`](../turnstone/prompts/base_coordinator.md) —
+an "orchestrator" persona: decompose, delegate, monitor, synthesise.
 The base text is short but sets the tone every coordinator skill
 inherits:
 
-> You are a coordinator.  Your role is to orchestrate work across
-> the cluster...  You do
+> You are a coordinator on a small, focused infrastructure team.
+> Your role is to orchestrate work across the cluster...  You do
 > not edit files, run shell commands, browse the web, or manipulate
 > the codebase directly.  Children do that.
 
@@ -168,50 +154,29 @@ Every ws_id returned by `spawn_workstream` / `spawn_batch` is a
 invent ws_ids — a model that hallucinates `"child-1"` or `"ws-abc"`
 hits the tenant guard in `CoordinatorClient._is_own_subtree`, which
 validates ws_id against `parent_ws_id=coord_ws_id` AND
-`user_id=owner` in storage.  The rejection shape is uniform and
-recovery-oriented:
+`user_id=owner` in storage.  The rejection shape varies by tool:
 
 - **Mutating ops** (`send_to_workstream`, `close_workstream`,
-  `cancel_workstream`, `delete_workstream`) and
-  **`inspect_workstream`** return
-  `{"error": "no workstream matching '<ref>' among your children; …",
-  "status": 404, "ws_id": "<ref>", "did_you_mean": [...],
-  "children": [...], "children_truncated": bool}` — a did-you-mean
-  (edit distance ≤ 3 against the coord's own children, which catches
-  the garbled-hex incident class: a 32-char id whose `aaa` run
-  collapsed to `a`) plus a roster of the coord's children.  A ref
-  that matches a child's display NAME is called out explicitly with
-  the right id (names are mutable labels, not addresses).  Foreign
-  and nonexistent ids produce the same payload (no existence
-  oracle), every hint references only the coord's own children, and
-  near-miss ids are never auto-resolved — the skill should fix the
-  id and re-issue, not treat the child as dead.
-- **`wait_for_workstream`** validates ids before waiting: a
-  malformed id fails the whole call immediately (`invalid_ws_ids`
-  carries the per-id payloads above, `elapsed=0`); a well-formed id
-  that is foreign, nonexistent, or hard-deleted mid-wait surfaces as
-  `state="not_found"` and aborts the wait on that tick with
-  top-level `error` / `not_found` / `children` fields.
-  `complete=true` therefore means every polled lane really finished
-  — an unobservable id can neither burn the timeout nor ride along
-  to a "complete" result.
+  `cancel_workstream`, `delete_workstream`) return
+  `{"error": "workstream not in coordinator subtree: <ws_id>", "status": 404}`
+  — the skill should treat this as a tool error, not an empty result.
+- **`inspect_workstream`** returns `{"error": "workstream not found", "ws_id": "<ws_id>"}`
+  (same shape as a genuinely missing row, so the guard can't be
+  used as an existence oracle).
+- **`wait_for_workstream`** reports the offending id with
+  `state="denied"` in its `results` dict; `mode="any"` won't
+  satisfy on a pure-denied list, so a hallucinated id won't trick
+  the wait into reporting "complete".
 
 Pattern: capture each spawn result in the next tool call's input.
-The JSON tool-result carries `{"child_ws_id": "...", "name": "...",
+The JSON tool-result carries `{"ws_id": "...", "name": "...",
 "node_id": "...", "routing_strategy": "..."}`; the model should
-extract the `child_ws_id` and pass it as `ws_id` (or in the `ws_ids`
-list) to `inspect_workstream` / `wait_for_workstream` /
-`send_to_workstream` / `close_workstream` verbatim.  The asymmetry
-— spawn returns `child_ws_id` but the other tools accept `ws_id` /
-`ws_ids` — is intentional: it defuses a coordinator-LLM recency
-bias where seeing `ws_id` in a spawn return primed re-spawn loops
-instead of progression to the wait phase.
+extract the ws_id and pass it to `inspect_workstream` /
+`wait_for_workstream` / `send_to_workstream` / `close_workstream`
+verbatim.
 
 A UI that wants human-readable identifiers should render the `name`
-field and keep the workstream id as the click-through key — note
-that the id *value* is the same regardless of whether it arrived
-under the `child_ws_id` key (spawn return) or the `ws_id` key
-(every other tool's input/output); only the field name differs.
+field and keep the ws_id as the click-through key.
 
 ---
 
@@ -339,7 +304,7 @@ For a new coordinator skill:
 A full end-to-end test isn't required for every skill; a
 prepare-step unit test that asserts "given this initial message, the
 first tool call is X with Y args" is usually sufficient to catch
-framing drift without a real LLM in the loop.
+persona drift without a real LLM in the loop.
 
 ---
 
@@ -351,7 +316,7 @@ framing drift without a real LLM in the loop.
   `spawn_batch` and `close_all_children` use, so your skill can
   parse results / denied arrays correctly.
 - [governance.md](governance.md) — the broader governance surface
-  (`/trust`, `/restrict`, role-based permissions)
+  (`/trust`, `/restrict`, `/stop_cascade`, role-based permissions)
   that wraps every coord session.
 - [settings.md](settings.md) — `coordinator.model_alias` and
   `coordinator.reasoning_effort` settings that gate which LLM runs

docs/diagrams/02-package-structure.puml

@@ -34,12 +34,13 @@ package "turnstone/core/" <<Rectangle>> {
     component [metrics.py\nPrometheus metrics] as metrics <<core>>
     component [config.py\nTOML config] as config <<core>>
     component [safety.py\nPath validation] as safety <<core>>
+    component [sandbox.py\nCommand sandbox] as sandbox <<core>>
     component [edit.py\nFile editing] as edit <<core>>
     component [web.py\nWeb helpers] as web <<core>>
     component [auth.py\nAuthentication] as auth <<core>>
     component [healthcheck.py\nBackendHealthMonitor] as healthcheck <<core>>
     component [ratelimit.py\nRateLimiter] as ratelimit <<core>>
-    component [mcp_client.py\nMCPClientManager\n(push + manual refresh)] as mcp <<core>>
+    component [mcp_client.py\nMCPClientManager\n(push + periodic refresh)] as mcp <<core>>
     component [tool_search.py\nToolSearchManager, BM25] as toolsearch <<core>>
     component [model_registry.py\nModelRegistry] as registry <<core>>
 }
@@ -122,6 +123,7 @@ session --> tools
 session --> memory
 memory --> storage
 session --> safety
+session --> sandbox
 session --> edit
 session --> web
 session --> healthcheck

docs/diagrams/03-core-engine-classes.puml

@@ -15,6 +15,7 @@ interface "SessionUI" as SessionUI <<Protocol>> {
     + on_tool_result(call_id: str, name: str, output: str, *, is_error: bool = False)
     + on_tool_output_chunk(call_id: str, chunk: str)
     + on_status(usage: dict, ctx_window: int, effort: str)
+    + on_plan_review(content: str) → str
     + on_info(message: str)
     + on_error(message: str)
     + on_state_change(state: str)
@@ -42,13 +43,15 @@ class "WorkstreamTerminalUI" as WsTermUI {
 class "WebUI" as WebUI {
     - _listeners: list[Queue]
     - _approval_event: Event
+    - _plan_event: Event
     - _ws_prompt_tokens: int
     - _ws_tool_calls: dict
     + resolve_approval(approved, feedback)
+    + resolve_plan(feedback)
     --
     Enqueues JSON events for SSE.
     Blocks on threading.Event for
-    approval.
+    approval/plan review.
     SSE handlers bridge Queue to
     async via run_in_executor().
     --
@@ -66,10 +69,9 @@ class "NullUI" as NullUI {
 interface "LLMProvider" as LLMProvider <<Protocol>> {
     + provider_name: str {property}
     + get_capabilities(model) → ModelCapabilities
-    + create_streaming(client, model, messages, ..., replay_reasoning_to_model) → Iterator[StreamChunk]
-    + create_completion(client, model, messages, ..., replay_reasoning_to_model) → CompletionResult
+    + create_streaming(client, model, messages, ...) → Iterator[StreamChunk]
+    + create_completion(client, model, messages, ...) → CompletionResult
     + convert_tools(tools) → list[dict]
-    + extract_reasoning_text(provider_blocks) → str
     + retryable_error_names: frozenset[str] {property}
     --
     core/providers/_protocol.py
@@ -124,7 +126,6 @@ class "ModelCapabilities" as ModelCaps <<frozen>> {
     + supports_web_search: bool
     + supports_tool_search: bool
     + supports_vision: bool
-    + supports_reasoning_replay: bool
 }
 
 ' ChatSession
@@ -142,6 +143,7 @@ class "ChatSession" as ChatSession {
     + model_alias: str | None {property}
     - _tools: list[dict]
     - _task_tools: list[dict]
+    - _agent_tools: list[dict]
     - _read_files: set[str]
     - system_messages: list[dict]
     --
@@ -251,7 +253,7 @@ class "MCPClientManager" as MCPMgr {
     Background asyncio event loop
     bridges async MCP SDK to
     sync ChatSession dispatch.
-    Push + manual refresh.
+    Push + periodic + manual refresh.
     Resources + prompts discovered
     alongside tools at startup.
     --

docs/diagrams/04-conversation-turn.puml

@@ -24,14 +24,6 @@ CS -> DB : save_message(ws_id, "user", input)
 
 group loop [while tool_calls present]
 
-    CS -> UI : on_turn_start()
-    note right of UI
-      SessionUIBase resets the per-turn inflight
-      buffers (_ws_inflight_content / reasoning /
-      seq) that fuel the SSE in_progress_snapshot
-      event for mid-stream refresh resume.
-    end note
-
     CS -> UI : on_state_change("thinking")
     CS -> UI : on_thinking_start()
 
@@ -81,14 +73,6 @@ group loop [while tool_calls present]
 
     CS -> CS : _update_token_table()\ncalibrate chars_per_token ratio
     CS -> CS : messages.append(assistant_msg)
-    CS -> UI : on_turn_committed()
-    note right of UI
-      Drops the per-turn inflight buffers — the
-      assistant message is now in the history
-      list, so the in_progress_snapshot must
-      not re-render it during the next tool-
-      execution window or the next streaming turn.
-    end note
     CS -> DB : save_message(ws_id, "assistant", content)
     CS -> DB : save_message(ws_id, "tool_call", ...) ×N
 
@@ -139,9 +123,10 @@ group loop [while tool_calls present]
           read_file → open().read() or base64 image
           search → grep subprocess
           edit_file → string replace
-          task → _run_agent() sub-loop
+          task/plan → _run_agent() sub-loop
+          math → sandboxed subprocess
           web_fetch → httpx + LLM summarize
-          web_search → provider-native or SearxNG fallback
+          web_search → provider-native or Tavily fallback
           memory/recall → SQLite
         end note
 

docs/diagrams/05-tool-pipeline.puml

@@ -24,7 +24,7 @@ partition "Phase 1: Prepare" #E8F5E9 {
         :Dispatch to _prepare_{func_name}();
 
         note right
-            **Dispatch table (16 built-in + tool_search):**
+            **Dispatch table (19 built-in + tool_search):**
             ┌───────────────┬──────────────────┐
             │ Tool          │ Needs Approval?  │
             ├───────────────┼──────────────────┤
@@ -34,10 +34,13 @@ partition "Phase 1: Prepare" #E8F5E9 {
             │ edit_file     │ ✓ Yes            │
             │ search        │ ✗ Auto-approve   │
             │ diff_file     │ ✗ Auto-approve   │
+            │ math          │ ✗ Auto-approve   │
+            │ man           │ ✗ Auto-approve   │
             │ web_fetch     │ ✗ Auto-approve   │
             │ web_search    │ ✗ Auto-approve   │
             │ tool_search   │ ✗ Auto-approve   │
             │ task_agent    │ ✓ Yes            │
+            │ plan_agent    │ ✓ Yes            │
             │ memory        │ ✗ Auto-approve   │
             │ recall        │ ✗ Auto-approve   │
             │ notify        │ ✗ Auto-approve   │
@@ -107,10 +110,13 @@ partition "Phase 3: Execute" #E3F2FD {
           ├─ _exec_write_file: makedirs + write
           ├─ _exec_edit_file: find_occurrences + replace
           ├─ _exec_search: grep subprocess
+          ├─ _exec_math: sandboxed subprocess
+          ├─ _exec_man: man/info subprocess
           ├─ _exec_web_fetch: httpx.get + LLM summary
-          ├─ _exec_web_search: SearxNG JSON GET (fallback for local models)
+          ├─ _exec_web_search: Tavily API POST (fallback for local models)
           ├─ _exec_tool_search: BM25 search + expand_visible()
           ├─ _exec_task: _run_agent(TASK_AGENT_TOOLS)
+          ├─ _exec_plan: _run_agent(AGENT_TOOLS, read-only)
           ├─ _exec_notify: HTTP POST to channel gateway
           ├─ _exec_memory: structured memory save/search/delete/list
           ├─ _exec_recall: conversation history FTS5 search
@@ -125,6 +131,11 @@ partition "Phase 3: Execute" #E3F2FD {
 
     :bash: ui.on_tool_output_chunk(call_id, line) per stdout line;
     :ui.on_tool_result(call_id, name, output, is_error) for each;
+
+    if (plan tool was executed?) then (yes)
+        :ui.on_plan_review(output);
+        :Block for user review/feedback;
+    endif
 }
 
 :Return (results, user_feedback);

docs/diagrams/09-workstream-states.puml

@@ -13,7 +13,7 @@ skinparam state {
 state "IDLE" as idle <<idle>> : Waiting for user input.\nNo active LLM call or tool execution.
 state "THINKING" as thinking <<thinking>> : LLM streaming response.\nTokens flowing (reasoning + content).
 state "RUNNING" as running <<running>> : Tools executing.\nThreadPoolExecutor active.
-state "ATTENTION" as attention <<attention>> : Blocked on user action.\nTool approval needed.
+state "ATTENTION" as attention <<attention>> : Blocked on user action.\nTool approval or plan review needed.
 state "ERROR" as error <<error>> : Exception occurred.\nRecoverable on next send().
 
 [*] --> idle : Session created
@@ -34,6 +34,8 @@ attention --> running : User denies\n(denial recorded)\n_emit_state("running")
 
 running --> thinking : Tool results appended,\nnext LLM call\n_emit_state("thinking")
 
+running --> attention : Plan tool complete,\non_plan_review()\n_emit_state("attention")
+
 running --> error : Exception during\ntool execution
 
 error --> thinking : New send() call\n_emit_state("thinking")
@@ -42,7 +44,7 @@ thinking --> idle : cancel() called\nstream aborted\n_emit_state("idle")
 
 running --> idle : cancel() called\n_emit_state("idle")
 
-attention --> idle : cancel() unblocks\napproval wait\n_emit_state("idle")
+attention --> idle : cancel() unblocks\napproval/plan wait\n_emit_state("idle")
 
 note left of idle
   **Cancel escalation:**

docs/diagrams/13-sdk-architecture.puml

@@ -30,6 +30,7 @@ package "turnstone/sdk/ (Python)" {
         + close_workstream()
         + send(message, ws_id)
         + approve()
+        + plan_feedback()
         + command()
         + cancel(ws_id)
         + stream_events(ws_id)

docs/diagrams/20-mcp-architecture.puml

@@ -190,25 +190,21 @@ group Push Notifications (debounced 5s per server)
   MCPMgr -> Storage : sync_prompts_to_storage()
 end
 
-group Manual Refresh
-  Session -> MCPMgr : refresh_sync()
+group Periodic Polling (default 4h)
+  MCPMgr -> MCPMgr : _periodic_refresh()
   note right
-    /mcp refresh [server] —
-    re-fetches catalog and
-    attempts reconnect for
-    disconnected servers.
+    Only polls capabilities
+    without push support.
+    Staggered per-server.
+    Disconnected servers get
+    reconnect attempts with
+    exponential backoff (60s-1h).
   end note
 end
 
-group Manual Reconnect
-  Session -> MCPMgr : reconnect_sync(name)
-  note right
-    Operator-driven via the
-    console admin panel —
-    tears down session, clears
-    circuit breaker, runs a
-    fresh handshake.
-  end note
+group Manual Refresh
+  Session -> MCPMgr : refresh_sync()
+  note right: /mcp refresh [server]
 end
 
 == Policy Evaluation ==

docs/diagrams/22-judge-architecture.puml

@@ -202,7 +202,7 @@ note over Session, Judge
   Cross-model: separate provider/client from [judge] config.
 
   **Sub-agent exemption:**
-  Task sub-agents skip intent validation entirely.
+  Plan agent and task agent skip intent validation entirely.
 
   **Output guard:**
   Runs when judge_config.output_guard is true (default).

docs/diagrams/png/02-package-structure.png

@@ -1,3 +1,3 @@
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-oid sha256:95dd5ebc899a1261d516686a5aa3319a7f45015d411302825fa28afbfc82e1ce
-size 326766
+oid sha256:a3b5c59403a6febd81667fc8fd2a7d22bc59da6130eba0dea5449c42668d0ede
+size 387044

docs/diagrams/png/03-core-engine-classes.png

@@ -1,3 +1,3 @@
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-size 620214
+oid sha256:474b900448ec04d1117b48a2b55614524721b2f04ac4bda66170bd0a06aae0f2
+size 624573

docs/diagrams/png/04-conversation-turn.png

@@ -1,3 +1,3 @@
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-size 355459
+oid sha256:3aa8d972bba40d78152f9f0c762b9f5ec616d8052c45fa52b7dd1c679ed81d61
+size 325245

docs/diagrams/png/05-tool-pipeline.png

@@ -1,3 +1,3 @@
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-oid sha256:23ca090b5656baaf70820cbe4ab6c27f0a3a02e18b4db0695614cf9489c23980
-size 281440
+oid sha256:674712a0563f51837383184652efeb28b7bec13378be636e89d2959bfba39d1e
+size 281519

docs/diagrams/png/20-mcp-architecture.png

@@ -1,3 +1,3 @@
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-oid sha256:d6aff446a062aa08f316985d00c2183148694f786d7f22172bc50b30046c728b
-size 379259
+oid sha256:7623df33be9baf7647ca1c2450640df57e1cd73e8be1f8168aae16e546ad683c
+size 459941

docs/docker.md

@@ -1,284 +1,164 @@
 # Docker Deployment
 
-Turnstone ships two Docker Compose stacks:
+Docker Compose stack for running the full turnstone platform.
 
-| Stack | File | Use it for |
-|-------|------|------------|
-| **Dev cluster** | `compose.yaml` (repo root) | Clone-and-run. Builds locally, zero config, full 10-node cluster. |
-| **Production** | `turnstone/deploy/compose.yaml` | Pip/pipx installs. Pulls released images from ghcr.io, requires real secrets. |
-
-## Quick start — local cluster
+## Quick Start
 
 ```bash
-git clone https://github.com/turnstonelabs/turnstone
-cd turnstone
+# Copy and edit environment config
+cp .env.example .env
+
+# Full stack (needs an LLM API on the host)
 docker compose up
 ```
 
-That builds one image and brings up the whole stack: PostgreSQL, the console,
-Caddy, the channel gateway, and **10 server nodes** (`node-1`…`node-10`). No
-`.env` is required — it ships with insecure dev defaults so it just works.
+Console dashboard: http://localhost:8090
 
-Open the dashboard at **https://localhost:8443**. It's served by Caddy with its
-own local CA, so trust the root certificate once (or click through the browser
-warning):
+> See also: [Deployment diagram](diagrams/png/12-deployment.png)
+
+## Services
+
+| Service | Port | Profile | Description |
+|---------|------|---------|-------------|
+| `server` | 8080 | default | Web UI + chat workstreams + LLM |
+| `console` | 8090 | default | Cluster dashboard |
+| `channel` | — | production | Channel gateway (Discord and/or Slack adapters) |
+| `server-1`…`server-10` | — | cluster | 10-node server fleet (PostgreSQL required) |
+
+## Profiles
+
+**Default** (no flag) — starts `server` and `console`. Requires an OpenAI-compatible LLM API running on the host (default: `http://localhost:8000/v1`).
 
 ```bash
-docker compose exec caddy cat /data/caddy/pki/authorities/local/root.crt
+docker compose up
 ```
 
-Create your first admin user (any node works — they share one database):
+**Production** — adds PostgreSQL and the channel gateway. Requires `POSTGRES_PASSWORD` and (for Discord) `TURNSTONE_DISCORD_TOKEN`:
 
 ```bash
-docker compose exec node-1 turnstone-admin create-user --username admin --name "Admin"
+docker compose --profile production up
 ```
 
-### Bring your own LLM
-
-Nodes boot **without** an LLM and appear in the console immediately. Add real
-model backends (OpenAI, Anthropic, or a local/vLLM endpoint) from the console
-UI's **Models** tab. To set a node's bootstrap default instead, point
-`LLM_BASE_URL` / `OPENAI_API_KEY` at an OpenAI-compatible endpoint in `.env`.
-
-### Fewer nodes
-
-Ten nodes is heavy on a laptop. Start a subset by naming the services (always
-include `postgres`, `console`, and `caddy`):
+**Cluster** — 10-node server fleet sharing PostgreSQL. Access all nodes via the console at `:8090`. Requires `POSTGRES_PASSWORD`:
 
 ```bash
-docker compose up postgres console caddy channel node-1 node-2 node-3
+docker compose --profile cluster up
 ```
 
-## Why HTTPS-only?
-
-The console's plain-HTTP port (8090) is **not** published to the host. A plain
-HTTP/1.1 origin caps the browser at 6 connections, which starves the
-dashboard's per-pane SSE streams. Caddy serves the browser over HTTP/2
-(multiplexed) and proxies to `console:8090` on the internal network, so the cap
-is gone. Everything goes through `https://localhost:8443`.
-
-## Join a bare-metal host
-
-PostgreSQL, the console's ACME endpoint (`:8090`), and SearxNG (`:8081`) are
-published on `127.0.0.1`, so a `turnstone-server` running directly on the same
-machine — for example to use a local GPU — can join the same cluster (enrolling
-its mTLS cert and running `web_search`) and show up in the console alongside the
-containerized nodes.
-
-Put the secret and connection settings in `~/.config/turnstone/config.toml`
-(secrets belong in this file, not the process environment — keep it `0600`,
-the loader warns otherwise):
-
-```toml
-[auth]
-jwt_secret = "dev-only-insecure-jwt-secret-change-me-for-real-deployments"
-
-[database]
-backend = "postgresql"
-url = "postgresql+psycopg://turnstone:turnstone@localhost:5432/turnstone"
-
-[api]
-base_url = "http://localhost:8000/v1"   # your local model endpoint
-api_key = "dummy"
-```
-
-Then start the server. The node identity isn't a secret, so it stays on the
-command line:
-
-```bash
-chmod 600 ~/.config/turnstone/config.toml
-TURNSTONE_NODE_ID=host-1 \
-  TURNSTONE_ADVERTISE_URL=http://host.docker.internal:8080 \
-  TURNSTONE_CONSOLE_URL=http://localhost:8090 \
-  TURNSTONE_SEARXNG_URL=http://localhost:8081 \
-  turnstone-server --host 0.0.0.0 --port 8080
-```
-
-The host server registers itself in PostgreSQL; the console reaches it back via
-`host.docker.internal`. `TURNSTONE_CONSOLE_URL` points the node at the console's
-published ACME endpoint so it can enroll its mTLS certificate (needed only when
-the cluster runs mTLS; harmless otherwise), and `TURNSTONE_SEARXNG_URL` points
-`web_search` at the published SearxNG. The `jwt_secret` and DB credentials above
-are the dev-stack defaults — match whatever you set in `.env` if you changed them.
-
-To let a server on a **different** machine join, start the stack with
-`TURNSTONE_HOST_IP=<this host's LAN IP>` — that binds PostgreSQL, the console
-ACME endpoint, and SearxNG to that interface. Then on the remote box set the
-three URLs above to that IP, and set `TURNSTONE_ADVERTISE_URL` to the **remote**
-box's own IP (the address the console dials back). **Set a strong
-`POSTGRES_PASSWORD` first** — `TURNSTONE_HOST_IP` exposes the database (and every
-user account + API-token hash in it), the console API, and the unauthenticated
-SearxNG to your network.
-
-To run the bare-metal node as a hardened, persistent service instead of by hand,
-use the systemd units in [`deploy/systemd/`](../deploy/systemd/).
-
-## Production stack
-
-For a real deployment use the bundled stack, which pulls released images
-instead of building:
-
-```bash
-docker compose -f turnstone/deploy/compose.yaml up
-```
-
-It's the same shape as the dev stack — Caddy-fronted console, channel, and a
-PostgreSQL all share one database so the console discovers the node — but it
-pulls released images, runs a single server node, and has **no baked-in
-secrets**. Set these in `.env` first (generate with `openssl rand -hex 32`):
-
-```bash
-TURNSTONE_JWT_SECRET=<python -c "import secrets; print(secrets.token_hex(32))">
-POSTGRES_PASSWORD=<a strong password>
-```
-
-The dashboard is at **https://localhost:8443** (Caddy, same as the dev stack);
-the console's HTTP port isn't published. For a real domain and a publicly
-trusted cert, edit `turnstone/deploy/Caddyfile` to point Caddy at Let's Encrypt
-(see [tls.md](tls.md)). Pin the image with `TURNSTONE_IMAGE_TAG` (default:
-`latest`).
-
-### mTLS
-
-Layer the TLS overlay on the production stack to enable mutual TLS between
-services. A bootstrap container creates a CA and every service auto-provisions
-certs via the console's ACME endpoint:
-
-```bash
-docker compose -f turnstone/deploy/compose.yaml -f deploy/docker-compose.tls.yml up
-```
-
-See [tls.md](tls.md) for details.
-
 ## Configuration
 
-Everything is configured with environment variables in `.env` (copy from
-[`.env.example`](../.env.example)). The dev stack needs none of them — they're
-overrides.
+All configuration is via environment variables in `.env` (copy from `.env.example`):
 
-### LLM backend
+### LLM Backend
 
 | Variable | Default | Description |
 |----------|---------|-------------|
-| `LLM_BASE_URL` | `http://host.docker.internal:8000/v1` | Bootstrap OpenAI-compatible API URL (real backends go in the UI) |
+| `LLM_BASE_URL` | `http://host.docker.internal:8000/v1` | OpenAI-compatible API URL |
 | `OPENAI_API_KEY` | `dummy` | API key (`dummy` for local servers) |
-| `TURNSTONE_SEARXNG_URL` | `http://searxng:8080` | SearxNG URL for the `web_search` tool (local/vLLM models only; Anthropic/OpenAI use native search). Defaults to the bundled `searxng` service; set to an external instance's URL. To turn web search off, clear `tools.searxng_url` in the admin Settings tab. |
-| `SEARXNG_IMAGE_TAG` | `latest` | Tag for the bundled `searxng/searxng` image |
-| `MODEL` | — | Override the default model alias |
+| `TAVILY_API_KEY` | — | Web search API key (only needed for local/vLLM models; Anthropic and OpenAI search models use native search) |
 
-### Auth & database
-
-| Variable | Default (dev / prod) | Description |
-|----------|----------------------|-------------|
-| `TURNSTONE_JWT_SECRET` | insecure default / **required** | JWT signing secret. Every service must share one value. |
-| `TURNSTONE_DB_BACKEND` | `postgresql` | `sqlite` or `postgresql`. Multi-node discovery requires `postgresql`. |
-| `TURNSTONE_DB_URL` | bundled Postgres | SQLAlchemy URL. Override to use an external database. |
-| `POSTGRES_USER` | `turnstone` | PostgreSQL username |
-| `POSTGRES_PASSWORD` | `turnstone` / **required** | PostgreSQL password |
-| `POSTGRES_MAX_CONNECTIONS` | `300` | `max_connections` for the bundled Postgres |
-
-> **Discovery needs a shared database.** Each server registers and heartbeats
-> into a `services` table that the console polls. All services in these stacks
-> point at the same PostgreSQL by default; SQLite-per-container can't see other
-> containers.
-
-> **Large clusters:** each process keeps a small pool (5 max). Beyond ~50 nodes,
-> put [PgBouncer](pgbouncer.md) (transaction pooling) between turnstone and
-> PostgreSQL.
-
-### Ports
-
-Both stacks publish Caddy (dashboard) and PostgreSQL; the dev stack additionally
-publishes the console's ACME endpoint and SearxNG on localhost so a bare-metal
-node can enroll its cert and run `web_search`. Everything else is reached through
-Caddy or proxied by the console:
+### Server
 
 | Variable | Default | Description |
 |----------|---------|-------------|
-| `CONSOLE_HTTPS_PORT` | `8443` | Host port for Caddy (dashboard HTTPS) |
-| `SEARXNG_HTTPS_PORT` | `8444` | Host port for the SearxNG UI via Caddy (dev: localhost-only; prod: opt-in) |
-| `POSTGRES_PORT` | `5432` | Host port for PostgreSQL (for bare-metal joins) |
-| `SEARXNG_API_PORT` | `8081` | Host port for the SearxNG API a bare-metal node's `web_search` dials (dev stack) |
-| `TURNSTONE_HOST_IP` | `127.0.0.1` | Interface PostgreSQL, the console ACME endpoint, and SearxNG bind on (dev stack). Set to this host's LAN IP so a bare-metal node on **another machine** can reach them — set a strong `POSTGRES_PASSWORD` first (it also exposes the DB and the unauthenticated SearxNG to your network). |
-| `POSTGRES_BIND` | `127.0.0.1` | Production stack (`turnstone/deploy/compose.yaml`) only: interface PostgreSQL binds on; set to the host's LAN IP for remote joins. |
+| `SERVER_PORT` | `8080` | Host port mapping |
+| `SKIP_PERMISSIONS` | — | Set to any value to auto-approve all tools |
 
-### Channel gateway
+### Console
 
 | Variable | Default | Description |
 |----------|---------|-------------|
-| `TURNSTONE_DISCORD_TOKEN` | — | Discord bot token (enables the Discord adapter) |
-| `TURNSTONE_DISCORD_GUILD` | `0` | Restrict to one guild (0 = all) |
-| `TURNSTONE_SLACK_TOKEN` | — | Slack Bot User OAuth token `xoxb-…` |
-| `TURNSTONE_SLACK_APP_TOKEN` | — | Slack App-Level token `xapp-…` (with the Slack token) |
+| `CONSOLE_PORT` | `8090` | Host port mapping |
 
-The channel runs HTTP-only with no adapters until a token is set, so it's safe
-to leave running. See [Channel Integrations](channels.md) for app setup.
+### Auth
 
-### Web search (SearxNG)
-
-The `web_search` tool for local/vLLM models is backed by a self-hosted
-[SearxNG](https://searxng.org) metasearch service, bundled into both stacks as the
-`searxng` service. The Turnstone nodes reach it over the internal docker network at
-`http://searxng:8080` — its API port is **not** published. Its config —
-[`turnstone/deploy/searxng/settings.yml`](../turnstone/deploy/searxng/settings.yml),
-mounted read-only — enables the JSON API and leaves the rate limiter off (the
-limiter would need a separate Valkey/Redis instance). A `searxng-cache` volume
-persists its favicon + internal cache across restarts. Commercial providers
-(Anthropic, OpenAI) use their own native search and never touch this service.
-
-Point at an existing SearxNG instead of the bundled one with `TURNSTONE_SEARXNG_URL`,
-or narrow the engines via `tools.searxng_engines` in the admin Settings tab (e.g.
-`duckduckgo,wikipedia`).
-
-**SearxNG web UI.** Caddy can also serve SearxNG's own search/Preferences UI on a
-dedicated port. The dev stack publishes it at **`https://localhost:8444`** bound to
-localhost only; the production stack does **not** publish it by default (uncomment
-the `8444` port on the `caddy` service to opt in). Change the port with
-`SEARXNG_HTTPS_PORT`. **SearxNG has no authentication** — never bind this to a public
-interface, or anyone who can reach it can search through your instance.
-
-> **AGPL note for operators.** SearxNG is licensed AGPL-3.0. Kept on the internal
-> network (or bound to localhost), no external user interacts with it — so the AGPL
-> §13 (remote network interaction) source-offer obligation does not attach. If you
-> publish SearxNG to remote users (bind its port to a public interface, or front it
-> with your own reverse proxy) you become the operator of a network-reachable AGPL
-> service and must offer its corresponding source; that is trivially satisfied by
-> linking to upstream <https://github.com/searxng/searxng>. Turnstone's own license is
-> unaffected: it talks to SearxNG over HTTP as a separate process (mere aggregation),
-> not by linking.
-
-### Other
+Auth is always enabled. `TURNSTONE_JWT_SECRET` is required.
 
 | Variable | Default | Description |
 |----------|---------|-------------|
-| `WORKSPACE_MOUNT` | empty volume | Host directory bind-mounted at `/workspace` for the model to read/write |
-| `SKIP_PERMISSIONS` | — | Set to any value to auto-approve all tool calls (dev only) |
-| `MCP_CONFIG` | — | Path to an MCP server config file |
-| `TURNSTONE_IMAGE_TAG` | `latest` | ghcr.io image tag — production stack |
+| `TURNSTONE_JWT_SECRET` | — | Secret key for signing JWTs (required) |
 
-## Building
+### Database
 
-Both stacks install all entry points into a single image (`turnstone`,
-`turnstone-server`, `turnstone-console`, `turnstone-channel`, `turnstone-admin`,
-`turnstone-eval`, `turnstone-optimizer`, `turnstone-doctor`):
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `TURNSTONE_DB_BACKEND` | `sqlite` | Storage backend: `sqlite` or `postgresql` |
+| `TURNSTONE_DB_URL` | — | Database URL (e.g. `postgresql+psycopg://user:pass@postgres:5432/turnstone`). For SQLite, defaults to `/data/.turnstone.db` |
+| `TURNSTONE_DB_POOL_SIZE` | `2` | PostgreSQL connection pool size per process (default: 2 base + 3 overflow = 5 max) |
+| `POSTGRES_USER` | `turnstone` | PostgreSQL container username (used in default `TURNSTONE_DB_URL` for cluster/channel) |
+| `POSTGRES_PASSWORD` | — | PostgreSQL container password (required for production and cluster profiles) |
+
+The database stores workstream history, user accounts, and API tokens. When using JWT auth, a database backend is required for user storage.
+
+> **Upgrading from <1.3.0a4:** Earlier versions used `DB_BACKEND` and `DATABASE_URL` in `.env`, which `compose.yaml` mapped to the `TURNSTONE_`-prefixed names internally. These short aliases have been removed. Rename `DB_BACKEND` → `TURNSTONE_DB_BACKEND` and `DATABASE_URL` → `TURNSTONE_DB_URL` in your `.env` file.
+
+> **Large clusters:** Each turnstone process maintains a small connection pool (5 max). At hundreds of nodes this adds up — use [PgBouncer](pgbouncer.md) in transaction pooling mode between turnstone and PostgreSQL.
+
+> **First-time setup:** After deploying with auth enabled, create an initial admin user by running `turnstone-admin create-user` inside the container:
+>
+> ```bash
+> docker compose exec server turnstone-admin create-user --username admin --name "Admin"
+> ```
+>
+> You will be prompted to set a password. Use it to log in via the UI or SDK, then create additional users through the admin API. Pass `--token --scopes read,write,approve` to also generate an initial API token.
+
+### Channel Gateway
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `TURNSTONE_DISCORD_TOKEN` | — | Discord bot token (required to enable Discord adapter) |
+| `TURNSTONE_DISCORD_GUILD` | `0` | Restrict to a single Discord guild (0 = all guilds) |
+| `TURNSTONE_SLACK_TOKEN` | — | Slack Bot User OAuth token `xoxb-…` (required to enable Slack adapter) |
+| `TURNSTONE_SLACK_APP_TOKEN` | — | Slack App-Level token `xapp-…` (required with `TURNSTONE_SLACK_TOKEN`) |
+| `TURNSTONE_SLACK_CHANNELS` | — | Comma-separated Slack channel IDs to allow (empty = all) |
+| `TURNSTONE_SLACK_SLASH_COMMAND` | `/turnstone` | Slash command registered in the Slack app |
+
+The channel service runs in the `production` profile. When
+`TURNSTONE_DISCORD_TOKEN` or the Slack pair is set the gateway starts the
+corresponding adapter; both can run in one process. See
+[Channel Integrations](channels.md) for platform app setup and user
+account linking.
+
+## Scaling
+
+For multi-node testing, use the `cluster` profile which provides 10 server instances with unique node IDs (`node-1` through `node-10`), resource limits, and shared PostgreSQL:
 
 ```bash
-docker compose build            # build the dev image
-docker compose build --no-cache # rebuild from scratch
+POSTGRES_PASSWORD=secret docker compose --profile cluster up
 ```
 
+The default `server` also runs alongside the cluster nodes (11 total). All nodes are accessible via the console dashboard at `:8090`.
+
+For production clusters beyond ~50 nodes, add PgBouncer between turnstone services and PostgreSQL. See [PgBouncer Connection Pooling](pgbouncer.md) for Docker Compose and Helm configuration.
+
 ## Volumes
 
-| Volume | Purpose |
-|--------|---------|
-| `postgres-data` | PostgreSQL data directory |
-| `turnstone-data` | `/data` per node (SQLite fallback, local state) |
-| `workspace` | `/workspace` (unless `WORKSPACE_MOUNT` is set) |
-| `caddy-data` / `caddy-config` | Caddy's local CA and config (dev stack) |
+| Volume | Mount | Purpose |
+|--------|-------|---------|
+| `turnstone-data` | `/data` | SQLite database (`.turnstone.db`) |
+
+## Building
+
+The image uses a multi-stage Dockerfile:
+
+```bash
+# Build all services
+docker compose build
+
+# Rebuild without cache
+docker compose build --no-cache
+```
+
+All entry points are installed in a single image: `turnstone`,
+`turnstone-server`, `turnstone-console`, `turnstone-channel`,
+`turnstone-admin`, `turnstone-eval`, and `turnstone-bootstrap`.
 
 ## Cleanup
 
 ```bash
-docker compose down       # stop and remove containers
-docker compose down -v    # also remove volumes (database, certs)
+# Stop and remove containers
+docker compose down
+
+# Stop, remove containers and volumes
+docker compose down -v
 ```

docs/eval.md

@@ -1,19 +1,11 @@
-# Evaluation and Prompt Optimization (turnstone-eval, turnstone-optimizer)
+# Evaluation and Prompt Optimization (turnstone-eval)
 
-Evaluation for turnstone is split into two commands:
+`turnstone-eval` is the evaluation and prompt optimization system for turnstone. It
+runs test cases against the LLM, scores tool call sequences against expected
+actions, and optionally uses a multi-agent pipeline to optimize the developer
+prompt and tool descriptions.
 
-- **`turnstone-eval`** — the measurement substrate. Runs test cases against the LLM
-  and scores tool call sequences against expected actions. A single measurement pass,
-  no self-modification.
-- **`turnstone-optimizer`** — the prompt/tool optimizer. Loops over the measurement
-  substrate, using a multi-agent pipeline (analyst, optimizer, observer, diversifier,
-  tool optimizer) to edit the developer prompt and tool descriptions so more tests pass.
-
-The dependency is strictly one-way: the optimizer consumes the eval substrate; the
-substrate never depends on the optimizer.
-
-Source: `turnstone/eval/core.py` (measurement substrate), `turnstone/eval/cli.py`
-(the `turnstone-eval` CLI), `turnstone/optimizer.py` (the `turnstone-optimizer` CLI).
+Source: `turnstone/eval.py`
 
 ---
 
@@ -35,8 +27,8 @@ This approach (inspired by [Learning to Self-Evolve](https://arxiv.org/abs/2603.
 prevents irrecoverable collapse from bad edits — UCB naturally backtracks to
 high-scoring ancestors instead of following a linear chain.
 
-The `turnstone-eval` command (or `turnstone-optimizer --no-optimize`) executes only
-steps 2-4: a single measurement pass over the root prompt, no optimization.
+When optimization is disabled (`--no-optimize`), only steps 2-4 execute
+(a single iteration evaluating the root node).
 
 ---
 
@@ -282,7 +274,8 @@ for iteration in 0..max_iterations:
 
 ### Phase 1: Analyst (`_run_analyst`)
 
-A multi-turn agent with a `bash` tool for computing statistics. It receives per-case results with failure classifications and
+A multi-turn agent with `math` (Python) and `bash` tools for computing
+statistics. It receives per-case results with failure classifications and
 produces a structured diagnosis:
 
 - **Failure patterns**: Shared root causes across failing cases
@@ -460,46 +453,30 @@ structure is:
 
 ## CLI Usage
 
-Two console scripts (installed as entry points), or the equivalent `python -m`
-invocations:
-
-- `turnstone-eval` / `python -m turnstone.eval.cli` — measure only.
-- `turnstone-optimizer` / `python -m turnstone.optimizer` — optimize.
-
-### Measure (`turnstone-eval`)
+The entry point is `turnstone-eval` (installed as a console script) or
+`python -m turnstone.eval`.
 
 ```
-turnstone-eval tests.json                     # one measurement pass, print scores
-turnstone-eval tests.json --prompt custom.txt # measure a custom prompt
-turnstone-eval tests.json --n-runs 5          # more runs per case
-turnstone-eval tests.json --parallel 4        # run cases across 4 workers
-turnstone-eval tests.json -v                  # verbose per-turn logging
+turnstone-eval tests.json                          # evaluate + optimize
+turnstone-eval tests.json --no-optimize            # evaluate only (single iteration)
+turnstone-eval tests.json --n-runs 5 --max-iter 10 # more thorough evaluation
+turnstone-eval tests.json --prompt custom.txt      # start from a custom prompt
+turnstone-eval tests.json --optimize-tools         # optimize tool descriptions only
+turnstone-eval tests.json --diversify 10           # test with prompt variants
+turnstone-eval tests.json -v                       # verbose per-turn logging
 ```
 
-### Optimize (`turnstone-optimizer`)
+### Multi-model setup (local test model, cloud optimizer)
 
 ```
-turnstone-optimizer tests.json                          # evaluate + optimize
-turnstone-optimizer tests.json --no-optimize            # single pass, no optimization
-turnstone-optimizer tests.json --n-runs 5 --max-iter 10 # more thorough optimization
-turnstone-optimizer tests.json --prompt custom.txt      # start from a custom prompt
-turnstone-optimizer tests.json --optimize-tools         # optimize tool descriptions only
-turnstone-optimizer tests.json --diversify 10           # test with prompt variants
-```
-
-#### Multi-model setup (local test model, cloud optimizer)
-
-```
-turnstone-optimizer tests.json \
+turnstone-eval tests.json \
   --base-url http://localhost:8000/v1 \
   --optimizer-base-url https://api.anthropic.com \
   --optimizer-model claude-sonnet-4-6 \
   --analyst-model claude-opus-4-6
 ```
 
-### Measurement Options
-
-Accepted by **both** commands.
+### All Options
 
 | Flag                    | Default                    | Description |
 |-------------------------|----------------------------|-------------|
@@ -508,26 +485,19 @@ Accepted by **both** commands.
 | `--model`               | auto-detect                | Model name. Auto-detected from the API if not specified. |
 | `--prompt`              | turnstone built-in prompt  | Path to initial prompt text file. |
 | `--n-runs`              | from tests.json or 3       | Number of runs per test case. |
+| `--max-iter`            | 5                          | Maximum optimization iterations. |
+| `--no-optimize`         | false                      | Run evaluation only (sets max-iter to 1). |
 | `--temperature`         | 0.7                        | Sampling temperature. |
 | `--max-tokens`          | 32768                      | Max completion tokens. |
 | `--reasoning-effort`    | `medium`                   | Reasoning effort: `low`, `medium`, or `high`. |
 | `--context-window`      | 131072                     | Context window size. |
 | `--output`              | `eval_results.json`        | Output results file path. |
 | `-v`, `--verbose`       | false                      | Show detailed per-turn logging. |
+| `--explore-constant`    | 1.414 (sqrt(2))            | UCB exploration constant C. |
 | `--test-timeout`        | 300                        | Per-test timeout in seconds. |
+| `--suite-timeout`       | 0 (unlimited)              | Total suite timeout in seconds. |
 | `--no-fast-fail`        | false                      | Disable early termination on all-zero initial runs. |
 | `--parallel`            | 1 (serial)                 | Parallel workers (0=auto, N=use N workers). |
-
-### Optimizer Options
-
-Accepted by **`turnstone-optimizer`** only.
-
-| Flag                    | Default                    | Description |
-|-------------------------|----------------------------|-------------|
-| `--max-iter`            | 5                          | Maximum optimization iterations. |
-| `--no-optimize`         | false                      | Run a single measurement pass (sets max-iter to 1). |
-| `--explore-constant`    | 1.414 (sqrt(2))            | UCB exploration constant C. |
-| `--suite-timeout`       | 0 (unlimited)              | Total suite timeout in seconds. |
 | `--optimizer-model`     | same as `--model`          | Model for prompt optimization. |
 | `--optimizer-base-url`  | same as `--base-url`       | Base URL for optimizer model. |
 | `--observer-model`      | same as optimizer           | Model for meta-optimization (observer). |

docs/governance.md

@@ -13,7 +13,7 @@ The permission model has two layers:
 
 1. **Scopes** (legacy) — `read`, `write`, `approve`. Checked by `AuthMiddleware`
    on every request based on URL path classification.
-2. **Permissions** (granular) — named permission strings checked per-endpoint by
+2. **Permissions** (granular) — 15 permission strings checked per-endpoint by
    `require_permission()`.
 
 **Built-in roles** (seeded by migration 008):
@@ -24,11 +24,7 @@ The permission model has two layers:
 | operator | read, write, workstreams.create, workstreams.close |
 | viewer | read |
 
-Custom roles can be created with any subset of the valid permissions.
-The `persona.create` / `persona.read` / `persona.write` family gates
-persona administration; migration `063` seeds all three onto
-`builtin-admin`, and any role can be granted them through the standard
-role and permission-override editors.
+Custom roles can be created with any subset of the 15 valid permissions.
 
 **Auth flow:**
 1. User logs in (password or API token) → `_load_user_permissions()` aggregates
@@ -181,7 +177,6 @@ All under `/v1/api/admin/` (requires `approve` scope + granular permission).
 | Orgs | 3 (list, get, update) | `admin.orgs` |
 | Tool Policies | 4 (CRUD) | `admin.policies` |
 | Skills | 4 (CRUD) | `admin.skills` |
-| Personas | 4 (list, create, get, edit/archive) | `persona.read` / `persona.create` / `persona.write` |
 | Schedules | 6 (CRUD + runs) | `admin.schedules` |
 | Watches | 3 (list, create, cancel) | `admin.watches` |
 | Usage | 1 (aggregated query) | `admin.usage` |
@@ -227,7 +222,7 @@ Both Python and TypeScript console SDKs expose governance methods:
 - **Privilege escalation prevented**: `admin_assign_role` blocks self-assignment
   and requires caller to hold a superset of the target role's permissions
 - **Permission validation**: Role create/update validates permissions against
-  the permission allowlist (`_VALID_PERMISSIONS`)
+  a 15-item allowlist (`_VALID_PERMISSIONS`)
 - **Self-deletion blocked**: `admin_delete_user` rejects attempts to delete
   your own account (matching the self-assignment guard on role endpoints)
 - **Field allowlists**: Storage `update_*` methods filter fields against

docs/judge.md

@@ -37,31 +37,13 @@ model = ""                    # empty = same as session model
 provider = ""                 # empty = same as session provider
 base_url = ""
 api_key = ""
-smart_approvals = false       # auto-approve high-confidence "approve" LLM verdicts (opt-in)
-confidence_threshold = 0.95   # Smart Approvals auto-approve bar (LLM recommendation=approve)
+confidence_threshold = 0.7   # reserved for v2 smart approvals (not used in v1)
 max_context_ratio = 0.5       # max % of judge context window for history
-timeout = 120.0               # seconds (generous for local models)
+timeout = 60.0                # seconds (generous for local models)
 read_only_tools = true        # judge can use read_file/list_directory
 cancel_on_approval = false    # stop judging remaining tool calls once user decides
 ```
 
-### Smart Approvals
-
-With `smart_approvals = true` (off by default) a tool call is approved
-automatically — no operator prompt — when the intent judge's **LLM** verdict
-recommends `approve` with confidence at or above `confidence_threshold`. Every
-other outcome still reaches a human: `review` / `deny` recommendations,
-confidence below the threshold, judge errors or timeouts (`llm_fallback`), and
-any call the deterministic heuristic rules explicitly flagged `deny` or
-`critical`. That heuristic floor blocks only those explicit danger verdicts — it
-is **not** a general "never lower the heuristic" rule: the heuristic's default
-for an unmatched tool is `review`, and letting a confident LLM `approve` upgrade
-a `review` is exactly what Smart Approvals is for. Only `deny` / `critical`
-findings are off-limits to auto-approval. Requires the judge to be enabled;
-auto-approved calls are tagged `smart_approval` in the dashboard and audit trail.
-Smart Approvals applies to the web and coordinator surfaces, not the interactive
-CLI.
-
 All fields are optional. The judge is enabled by default; use `enabled = false`
 (or `--no-judge` on the command line) to disable it.
 
@@ -71,13 +53,10 @@ All fields are optional. The judge is enabled by default; use `enabled = false`
 --judge / --no-judge           Enable/disable (default: enabled)
 --judge-model MODEL            Model for judge
 --judge-provider PROVIDER      Provider for judge
---judge-timeout SECONDS        LLM judge timeout (default: 120)
---judge-confidence FLOAT       Confidence threshold, 0-1 (default: 0.95)
+--judge-timeout SECONDS        LLM judge timeout (default: 60)
+--judge-confidence FLOAT       Confidence threshold (default: 0.7)
 ```
 
-(Smart Approvals is configured via `[judge] smart_approvals` / the admin Judge
-settings, not a CLI flag — the interactive CLI prompts for approval directly.)
-
 CLI flags override `config.toml` values.
 
 ---
@@ -125,7 +104,7 @@ last) and returns the first matching rule. Each rule has:
 | Critical | 0.90      | deny           | `rm -rf /`, `mkfs`, `dd if=`, pipe-to-shell, chmod 777 on root, write/edit to `/etc/` or `.ssh/`, download-then-execute chains (`curl -o file && chmod +x && bash`) |
 | High     | 0.80      | review         | `sudo`, `kill -9`, destructive git, DROP TABLE, write/edit secrets, HTTP mutations, `ssh`/`scp`, credential file access, browser automation + data export, transitive installs (`npx skills add`, `pip install git+`), control plane mutations (`crontab`, `systemctl enable/start/stop`) |
 | Medium   | 0.70      | review         | Content ingestion pipelines (`curl \| python3`), interpreter execution (`python3 script.py`, `node build.js`), cloud CLI mutations (`az/gcloud/aws/kubectl/terraform` with create/delete/destroy verbs), package installs, `write_file`, MCP tools, Docker operations |
-| Low      | 0.85      | approve        | `read_file`, `list_directory`, `search`, `recall`, `use_prompt`, `tool_search`, `read_resource`, `web_search`, read-only bash (`ls`, `cat`, `head`, `grep`, `find`, etc.) |
+| Low      | 0.85      | approve        | `read_file`, `list_directory`, `search`, `recall`, `man`, `use_prompt`, `tool_search`, `read_resource`, `web_search`, read-only bash (`ls`, `cat`, `head`, `grep`, `find`, etc.) |
 
 When no rule matches, the heuristic returns a default verdict: medium risk,
 0.50 confidence, "review" recommendation.
@@ -193,10 +172,9 @@ Security hardening blocks access to sensitive paths:
 
 ### Timeout
 
-The `timeout` setting (default 120 seconds) applies **per turn**, not as a total
-budget across turns — each of the up to 5 turns gets a fresh budget, so a slow
-earlier turn doesn't starve later ones. If a turn's budget expires, the judge
-attempts to parse whatever partial response is available.
+The `timeout` setting (default 60 seconds) is a total budget across all judge
+turns. Time is decremented after each LLM call. If the budget expires mid-turn,
+the judge attempts to parse whatever partial response is available.
 
 ---
 
@@ -232,23 +210,6 @@ calls for approval, it calls `_evaluate_intent()` which:
 4. Attaches each heuristic verdict to its item as `_heuristic_verdict`
 5. The daemon thread runs the LLM judge and delivers results via `ui.on_intent_verdict()`
 
-The daemon evaluates items sequentially, so a large parallel batch can outlive
-its approval gate. With `cancel_on_approval = false` (the default) the daemon
-runs every item to completion: verdicts that land after the operator decided
-still stream to the UI and persist, stamped with the decision. The daemon is
-aborted only when the next tool batch supersedes it or the session closes —
-then each unfinished item degrades to an `llm_fallback` verdict. With
-`cancel_on_approval = true` the abort additionally fires the moment the gate
-resolves, trading verdict completeness for inference savings — recommended
-when the judge shares a single local inference backend with the session model,
-where a large batch's remaining judge calls would otherwise compete with the
-next turn's completion.
-
-Verdicts that arrive after a *newer batch* has replaced the judge generation
-are withheld from the live surfaces (a reused call_id must never ride a stale
-`approve` into Smart Approvals) but still persist with
-`user_decision = "superseded"` so the audit trail records the judge's answer.
-
 Sub-agents (plan agent, task agent) are exempt from intent validation -- they
 always get full tool visibility without judge evaluation.
 
@@ -260,13 +221,7 @@ All verdicts are persisted to the `intent_verdicts` table (migration 012):
 
 - Heuristic verdicts are stored when the `approve_request` event is emitted
 - LLM verdicts are stored when the `intent_verdict` event is delivered
-- The `user_decision` column is updated when the user approves or denies;
-  auto-approved rows carry the bypass reason (`policy`, `blanket`,
-  `auto_approve_tools`, `smart_approval`), and rows whose verdict landed only
-  after a newer batch replaced the judge generation carry `superseded`
-- Every stored verdict — including the benign `risk_level = "none"` majority —
-  is re-attached to its tool call on history replay, so a reloaded workstream
-  shows the same verdict badges the live stream did
+- The `user_decision` column is updated when the user approves or denies
 
 The console admin panel exposes verdict history via:
 
@@ -417,36 +372,10 @@ redact_secrets = true  # auto-redact detected credentials (default)
 
 Configurable at runtime via the admin Settings tab.
 
-### Merge semantics (heuristic + LLM judge)
-
-The chip is a **merge** of the two detectors (issue #560, "show, annotated"),
-not a winner-take-all:
-
-- `risk_level` = **max**(heuristic, llm) and `flags` = **union**. A positive
-  from either detector surfaces; a negative ("none") or failed/absent LLM
-  **never lowers** a heuristic positive. The judge reads adversarial tool
-  output, so it may raise the alarm but must not be able to hide a
-  deterministic regex finding — defeating the judge can't erase the tripwire.
-- Credential **redaction** is a heuristic-only signal the LLM cannot override.
-- When the judge returned a verdict, its OWN verdict rides along as
-  annotation (`judge_risk` / `confidence` / `reasoning` / `judge_model`) so
-  the operator sees the judge's opinion even when it disagrees with the
-  displayed (merged) risk.
-
-The same merge runs live and on reconnect (both call
-`output_guard.merge_guard_display_payload`), so the chip can't drift between
-the two surfaces.
-
-The MODEL on the other side of the conversation is shown the merged
-`risk_level` + `flags` (via the `GuardAdvisory` spliced into the tool-result
-envelope), but is **never** told the judge cleared a finding — a judge fooled
-into "none" must not get to talk the model out of caution. The judge's
-"benign" verdict is operator-facing only.
-
 ### SSE event: `output_warning`
 
-When the merged finding is non-clean (or credentials were redacted), an
-`output_warning` SSE event is emitted to the frontend. A regex-only finding:
+When the output guard detects risk signals, an `output_warning` SSE event is
+emitted to the frontend:
 
 ```json
 {
@@ -457,50 +386,17 @@ When the merged finding is non-clean (or credentials were redacted), an
   "flags": ["credential_leak"],
   "annotations": ["API key detected (sk-proj-...)"],
   "output_length": 1024,
-  "redacted": true,
-  "tier": "heuristic"
+  "redacted": true
 }
 ```
 
-When the LLM judge returned a verdict, `tier` is `"llm"` and the event carries
-the judge's own verdict as annotation. Here the regex flagged MEDIUM but the
-judge assessed the output benign — the finding still surfaces (`risk_level`
-stays MEDIUM), annotated with the judge's dissent (`judge_risk: "none"`):
+The web UI renders this as an inline warning after the tool result. The CLI
+shows a colored terminal warning. The server forwards it as an
+`OutputWarningEvent` for console subscribers.
 
-```json
-{
-  "type": "output_warning",
-  "call_id": "call_def456",
-  "func_name": "web_fetch",
-  "risk_level": "medium",
-  "flags": ["camouflaged_injection"],
-  "annotations": ["Authority-framed directive embedded in the document."],
-  "output_length": 8192,
-  "redacted": false,
-  "tier": "llm",
-  "judge_risk": "none",
-  "confidence": 0.92,
-  "reasoning": "Legitimate analyst commentary; no injection.",
-  "judge_model": "gpt-5-mini"
-}
-```
-
-`judge_risk` (the judge's OWN risk verdict, which may differ from the merged
-`risk_level`), `confidence` (0.0–1.0), `reasoning`, and `judge_model` are
-present only on the `"llm"` tier. The identical shape is projected onto
-history replay by `build_merged_output_assessment_payload`, so the inline chip
-renders the same live and on refresh.
-
-The web UI renders this as an inline warning after the tool result — the
-`"llm"` tier adds a `⚖ LLM · NN%` badge (showing the judge's verdict when it
-differs from the displayed risk, e.g. `⚖ LLM: none · 92%`) and the judge's
-rationale. The CLI shows a colored terminal warning. The server forwards it as
-an `OutputWarningEvent` for console subscribers.
-
-Assessments are persisted to the `output_assessments` table (one row per
-`(call_id, tier)`) for calibration. Raw tool output is never stored — only
-metadata: flags, risk level, annotations, output length, redaction status,
-and — for the LLM tier — confidence, reasoning, judge model, and latency.
+Assessments are persisted to the `output_assessments` table for v2
+calibration. Raw tool output is never stored — only metadata (flags, risk
+level, annotations, output length, redaction status).
 
 ### Session-level skill scan warning
 

docs/mcp-oauth.md

@@ -1,117 +0,0 @@
-# MCP OAuth — per-user authorization for MCP servers
-
-Turnstone supports **per-(user, MCP server) OAuth 2.1 + PKCE** delegation so each Turnstone user authorizes a remote MCP server with their own identity, rather than sharing a single bearer token across the deployment. This is the right shape for MCP servers that expose user-specific data (a personal CRM, an email inbox, a calendar) and for MCP servers that want per-user audit attribution.
-
-Per-user OAuth is opt-in per `mcp_servers` row. Local-auth Turnstone installs with no `oauth_user` rows exercise zero new code paths — the entire feature is dark by default.
-
-> **Note**: This is a separate authorization layer from Turnstone's own user authentication. A user who logs into Turnstone with a local username + password can still authorize a per-server OAuth MCP server. OIDC SSO and per-server OAuth are orthogonal.
-
----
-
-## When to use which `auth_type`
-
-The MCP server admin form exposes three authorization modes ("Multitenant Authorization"):
-
-| `auth_type` | What it means | When to use |
-|---|---|---|
-| `none` | No headers attached. Open MCP server (or one gated by network policy only). | Internal MCP servers on a trusted network. |
-| `static` | One static bearer token, configured per server, sent on every request from every user. | Service-to-service MCP servers where per-user attribution doesn't matter, or single-tenant deployments. |
-| `oauth_user` *(recommended for user-data servers)* | Each user authorizes separately via OAuth 2.1 + PKCE; Turnstone stores per-user tokens encrypted at rest. | MCP servers that expose user-specific data or that want per-user audit attribution. |
-
-Switching `auth_type` away from `oauth_user` orphans existing per-user tokens. Use the admin **bulk-revoke** affordance on the server row (Phase 9) to clear them, or let them expire naturally — they're inert without the matching `auth_type` value.
-
----
-
-## Prerequisites for `auth_type=oauth_user`
-
-1. **Encryption key**. Tokens are stored encrypted with Fernet. Set `[security] mcp_token_encryption_key` in `config.toml` (Turnstone won't start with an `oauth_user` row configured but no key installed). Rotate via `MultiFernet` — add the new key first, then later remove the old one once all rows have been re-encrypted.
-
-2. **MCP server publishes RFC 9728 PRM and RFC 8414 AS metadata** *or* you configure the AS URL override on the server row. PKCE S256 is mandatory; Turnstone refuses to connect to authorization servers that don't advertise `code_challenge_methods_supported: ["S256"]`.
-
-3. **OAuth client registration**. Two paths:
-   - **Pre-registered** (most common): you create an OAuth client at the authorization server (manually, via admin console, or via Terraform), then paste the `client_id` / `client_secret` into the Turnstone admin form.
-   - **Dynamic client registration** (RFC 7591): if the AS supports it and you select that mode in the admin form, Turnstone registers a client at first use and persists the `client_id` automatically.
-
-4. **Redirect URI** registered at the authorization server: `https://your-turnstone-host/v1/api/mcp/oauth/callback`.
-
----
-
-## Configuration
-
-### Per-server fields (admin UI)
-
-| Field | Required | Description |
-|---|---|---|
-| Server URL | Yes | The MCP server's `streamable-http` base URL. |
-| Multitenant Authorization | Yes | `none` / `static` / `oauth_user` (recommended). |
-| Authorization Server URL | No | Override for RFC 9728 PRM discovery. Set when your AS endpoint differs from the MCP server URL (e.g., corporate AS protecting a third-party MCP). When unset, Turnstone falls back to PRM discovery against the MCP server itself. |
-| Client Registration | Yes (oauth_user) | `preregistered` or `dynamic`. |
-| Client ID | Yes (preregistered) | OAuth 2.0 client ID. Stored unencrypted. |
-| Client Secret | Optional (write-only) | OAuth 2.0 client secret (confidential client). Encrypted at rest. Written but never re-read by the API; field stays masked. |
-| Scopes | No | Space-separated default scope set requested at the authorize endpoint. Per-tool step-up may union additional scopes from a server's `insufficient_scope` response. |
-| Audience | No | RFC 8707 `resource=` parameter sent on every authorize and token request. Defaults to the MCP server URL when unset. Validate against the `aud` claim in returned JWT tokens. |
-
-### Encryption key
-
-```toml
-[security]
-mcp_token_encryption_key = "base64-fernet-key"
-# For rotation, list the keys in priority order — first is used for new
-# writes, all are tried for reads.
-# mcp_token_encryption_keys = ["new-key", "old-key"]
-```
-
-Keep this in `config.toml` rather than environment variables. An in-process LLM with shell-tool access can read the server's environment via `env` / `os.environ` and exfiltrate any secret stored there; secrets in `config.toml` are only loaded into the server at startup and never re-read on a tool-driven path, so a prompt-injection attack against the agent cannot reach them.
-
----
-
-## Lifecycle
-
-1. **First tool call** for a user against an `oauth_user` MCP server: pool dispatch finds no stored token, returns `mcp_consent_required` to the agent. Dashboard renders an inline "Connect" action card.
-
-2. **User clicks Connect**: opens `/v1/api/mcp/oauth/start?server=<name>` in a popup. Browser redirects through the AS authorize endpoint, user grants consent, AS redirects back to `/v1/api/mcp/oauth/callback`. Turnstone exchanges code → tokens via PKCE, validates audience, encrypts, persists in `mcp_user_tokens`, redirects user back to the originating URL.
-
-3. **Subsequent tool calls** by the same user against the same server reuse the persisted token via the per-(user, server) session pool. Tokens auto-refresh via the refresh-token grant when expired; failed refresh emits `mcp_consent_required` to drive re-consent.
-
-4. **Step-up scope**: when a tool call hits `403` with `WWW-Authenticate: error="insufficient_scope"`, Turnstone emits `mcp_insufficient_scope` with the parsed scope set; the dashboard offers a "Connect with additional scopes" affordance that opens `/v1/api/mcp/oauth/start?server=<name>&scopes=<extra>` so the union of original + new scopes flows into the AS authorize request.
-
-5. **User revoke** (settings modal): `DELETE /v1/api/mcp/oauth/connections/{server_name}` runs the authoritative local delete + best-effort RFC 7009 upstream revoke (fire-and-forget, capped at 256 concurrent in-flight tasks).
-
-6. **Admin bulk-revoke** (Phase 9): `POST /v1/api/admin/mcp-servers/{name}/bulk-revoke` drops every user's token for the server. Upstream RFC 7009 revoke is intentionally **not** attempted in bulk (avoids N upstream HTTP calls per admin click); tokens at the AS expire naturally. Use the per-user revoke endpoint if you need guaranteed upstream invalidation.
-
----
-
-## Admin status indicators
-
-The MCP Servers admin tab shows per-server status pills (Phase 9):
-
-- **Consented users count** — distinct users with a non-expired token for this server. Surfaced as a `bulk-revoke (N)` button when ≥1; clicking it opens a confirmation dialog. Hidden when 0.
-- **Last refresh** — timestamp + outcome (`ok` / `error:ClassName`) of the most recent manual or auto-reconnect refresh. Per node. Absent until at least one refresh has occurred (renders as "never" in the admin UI).
-
-Additional indicators (circuit-breaker state, encryption-key mismatch) are exposed via `get_server_status` on the API but do not yet have a dedicated admin pill — operators see them today via the per-server status text + error tooltip and in audit logs. A future phase may surface these as discrete pills.
-
----
-
-## Auth-type transitions
-
-| From | To | What happens |
-|---|---|---|
-| `none` / `static` → `oauth_user` | — | New code path activates for this server. Existing static headers (if any) are no longer sent. Users must authorize on first use. |
-| `oauth_user` → `none` / `static` | — | Existing `mcp_user_tokens` rows are **orphaned** — inert without a matching `auth_type`. Use admin bulk-revoke to drop them, or let them expire. Switching back to `oauth_user` later re-activates the orphaned rows if they haven't been deleted. |
-| OAuth `client_id` or `client_secret` rotated | — | Existing tokens may stop refreshing if the AS treats them as bound to the previous client. Bulk-revoke after rotation. |
-
-The orphan-by-default behavior is chosen so switching back to `oauth_user` is non-destructive. Bulk-revoke is the explicit cleanup path.
-
----
-
-## Troubleshooting
-
-| Symptom | Likely cause | Action |
-|---|---|---|
-| `mcp_consent_required` even after consenting | Token persistence failed, or refresh-token rejected by AS | Check audit log for `mcp_server.oauth.persist_failed` or `mcp_server.oauth.token_revoked`. Re-consent via settings modal. |
-| `mcp_token_undecryptable_key_unknown` | Encryption key rotated without keeping the previous key in the keyring | Add the previous key back to `mcp_token_encryption_keys` until all rows have been re-encrypted, then drop. |
-| `mcp_oauth_url_insecure` | MCP server URL is `http://` (not `https://`) on a non-loopback host | Use `https://`. Per-user bearers must not transit cleartext. |
-| Tools fail in scheduled / Discord / Slack runs | OAuth-MCP requires browser-based consent | Users must pre-consent via the web UI. Phase 9 dashboard badge surfaces deferred consents from these runs on next login. |
-| Circuit breaker open repeatedly | Transport-level errors on the MCP server (DNS, TLS, 5xx) | Check the per-server error pill; auth errors do not trip the breaker. |
-
-See also: `docs/operations/mcp-oauth-headless.md` for the cron / channel-driven run caveat.

docs/memory.md

@@ -26,40 +26,15 @@ Each memory has three dimensions:
 
 ### Memory scopes
 
-| Scope         | Visibility                                                      |
-|---------------|-----------------------------------------------------------------|
-| `global`      | Visible to all workstreams and users                            |
-| `workstream`  | Visible only within the originating workstream                  |
-| `user`        | Follows the authenticated user across workstreams               |
-| `coordinator` | Coordinator sessions only; follows the user across coordinators |
+| Scope        | Visibility                                                |
+|--------------|-----------------------------------------------------------|
+| `global`     | Visible to all workstreams and users                      |
+| `workstream` | Visible only within the originating workstream            |
+| `user`       | Follows the authenticated user across workstreams         |
 
 A memory's identity is the tuple `(name, scope, scope_id)`. Saving a memory
 with the same identity upserts -- updating content while preserving the ID.
 
-### Coordinator scope
-
-Coordinator sessions are isolated to a single scope: `coordinator`, keyed by
-the coordinator's creator `user_id`. It is durable -- every coordinator
-session the same user runs (including concurrent ones) shares one
-orchestration namespace, so procedures and lessons survive close/reopen.
-
-Isolation is bidirectional and enforced by session kind, not by secrecy of
-the scope id:
-
-- A coordinator session can read and write **only** `coordinator`-scope rows.
-  It never sees `global`/`workstream`/`user` memories, so content written by
-  interactive sessions (which routinely ingest untrusted MCP/attachment
-  output) cannot reach a coordinator's system message.
-- Interactive sessions -- including a coordinator's own children, which share
-  its `user_id` -- are rejected from the `coordinator` scope on every memory
-  action. Children cannot plant rows the parent coordinator would read.
-- The REST memory API (`/v1/api/memories`) does not accept the `coordinator`
-  scope at all; the scope is written exclusively through a coordinator
-  session's own memory tool.
-
-Coordinator sessions require an authenticated user identity -- an anonymous
-coordinator cannot be constructed, so the scope id is always a real user.
-
 ### BM25 relevance injection
 
 On every conversation turn, the system:
@@ -75,11 +50,6 @@ This means the model always has its most relevant memories available without
 explicit recall -- but can still use `memory(action='search')` for deeper
 lookup.
 
-The persona memory lever gates this pathway: a workstream whose persona
-turns memory off receives no relevance injection at all -- the steps
-above run only when memory is enabled for the session. See
-[Personas](personas.md).
-
 ### Nudges
 
 The metacognition layer can nudge the model to save memories at appropriate

docs/oidc.md

@@ -39,20 +39,18 @@ are set.
 | `TURNSTONE_OIDC_ROLE_CLAIM` | No | — | ID token claim containing role/group values (see [Role Mapping](#role-mapping)) |
 | `TURNSTONE_OIDC_ROLE_MAP` | No | — | Mapping from claim values to Turnstone role IDs (see [Role Mapping](#role-mapping)) |
 | `TURNSTONE_OIDC_PASSWORD_ENABLED` | No | `true` | Set to `false` to hide the password form and block all username/password logins (including admin). API tokens continue to work. |
-| `TURNSTONE_OIDC_REDIRECT_BASE` | Yes | — | Externally-reachable origin for the OIDC redirect URI (e.g. `https://app.example.com`). Without this, OIDC will refuse to start. The previous Host-header fallback was unsafe under permissive reverse proxies. |
-| `TURNSTONE_OIDC_TRUSTED_ENDPOINT_HOSTS` | No | — | Comma-separated list of additional hostnames whose endpoints the IdP discovery document is allowed to reference. See [Cross-host endpoints](#cross-host-endpoints). |
-| `TURNSTONE_OIDC_ALLOW_PRIVATE_NETWORK` | No | `false` | Allow the issuer (and its discovered endpoints) to resolve to private/internal addresses — needed for a self-hosted IdP on an internal network. See [Self-hosted and internal IdPs](#self-hosted-and-internal-idps). |
+| `TURNSTONE_OIDC_REDIRECT_BASE` | No | — | Externally-reachable origin for the OIDC redirect URI (e.g. `https://app.example.com`). Recommended when running behind a reverse proxy. When unset, derived from the request Host header. |
 
-All four required fields — issuer, client ID, client secret, and
-`TURNSTONE_OIDC_REDIRECT_BASE` — must be set. If any are missing OIDC
-is disabled at startup (an error is logged when only `redirect_base`
-is missing) and the login screen shows only the password form.
+OIDC is enabled when all three required fields (issuer, client ID, client
+secret) are non-empty. If any is missing, OIDC is silently disabled and
+the login screen shows only the password form.
 
-### Redirect base (required)
+### Reverse Proxy / Load Balancer
 
-`TURNSTONE_OIDC_REDIRECT_BASE` pins the redirect URI sent to the identity
-provider to a known externally-visible origin. Set it to the public origin
-of your Turnstone deployment:
+When Turnstone runs behind a reverse proxy, the internal `Host` header may
+not match the externally-reachable URL. Set `TURNSTONE_OIDC_REDIRECT_BASE`
+to the public origin so the redirect URI sent to the identity provider is
+correct:
 
 ```bash
 TURNSTONE_OIDC_REDIRECT_BASE=https://app.example.com
@@ -62,78 +60,6 @@ The resulting callback URL will be
 `https://app.example.com/v1/api/auth/oidc/callback` — register this as the
 authorized redirect URI in your identity provider.
 
-OIDC will refuse to start when this variable is unset. There is no
-Host-header fallback: a permissive reverse proxy or direct backend access
-would otherwise let an attacker spoof `Host` and steer the IdP redirect
-to a callback origin they control.
-
-### Cross-host endpoints
-
-By default, every endpoint in the IdP discovery document
-(`token_endpoint`, `jwks_uri`, `userinfo_endpoint`) must share the
-issuer's `(scheme, host, port)`. This prevents a hostile or compromised
-IdP from redirecting the token-exchange POST (which carries
-`client_secret`) to an arbitrary host, and prevents JWKS fetches from
-being aimed at internal services.
-
-A few public IdPs legitimately split endpoints across hostnames. Google
-is the canonical example:
-
-| Field | Hostname |
-|-------|----------|
-| issuer | `accounts.google.com` |
-| token_endpoint | `oauth2.googleapis.com` |
-| jwks_uri | `www.googleapis.com` |
-| userinfo_endpoint | `openidconnect.googleapis.com` |
-
-Google's set is built in — operators using `https://accounts.google.com`
-need no extra configuration.
-
-For other IdPs whose discovery document references a non-issuer host,
-extend the allow-list explicitly:
-
-```bash
-TURNSTONE_OIDC_TRUSTED_ENDPOINT_HOSTS=token.example.com,keys.example.com
-```
-
-The same scheme / no-userinfo / SSRF rules apply to allow-listed hosts —
-this knob only relaxes the same-origin check, not the security gates.
-Each entry is a hostname (no scheme, no path).
-
-### Self-hosted and internal IdPs
-
-By default Turnstone refuses an issuer whose hostname resolves to a
-private or internal address:
-
-```
-OIDCError: endpoint URL resolves to non-public address (10.0.0.5): https://auth.example.site
-```
-
-This is SSRF hardening, not a licensing or product restriction: the OIDC
-flow makes server-side HTTP requests (discovery, JWKS, token exchange),
-and refusing non-public destinations keeps a mistyped or maliciously
-steered issuer from aiming those fetches at internal services. For a
-self-hosted IdP (Keycloak, Authentik, Dex, …) on a private network,
-opt in explicitly in `config.toml`:
-
-```toml
-[oidc]
-allow_private_network = true
-```
-
-or via `TURNSTONE_OIDC_ALLOW_PRIVATE_NETWORK=true` (the env var wins
-when both are set).
-
-The opt-in admits private-range (RFC 1918), unique-local, CGNAT
-(100.64/10 — tailnets), and loopback addresses. Link-local, multicast,
-and reserved ranges stay refused even with the opt-in — cloud metadata
-services (169.254.169.254) live there, and no legitimate IdP does. The
-HTTPS requirement and the same-origin endpoint checks are unaffected.
-
-This knob only affects the login-flow IdP configured here. OAuth
-endpoints advertised by remote MCP servers are untrusted input and are
-always held to the strict public-address rule.
-
 ### config.toml alternative
 
 ```toml
@@ -146,8 +72,6 @@ provider_name = "Google"
 role_claim = "groups"
 password_enabled = true
 redirect_base = "https://app.example.com"
-# Self-hosted IdP on an internal network (see "Self-hosted and internal IdPs")
-allow_private_network = false
 
 [oidc.role_map]
 admin = "builtin-admin"
@@ -274,19 +198,6 @@ TURNSTONE_OIDC_ROLE_MAP="admin:builtin-admin,engineering:builtin-operator,viewer
   the user authenticates via OIDC, so new group memberships are picked
   up on the next login.
 
-### `assigned_by` markers
-
-Role assignments record an `assigned_by` value that controls how the
-sync logic treats them. OIDC-driven flows use two distinct markers:
-
-- `oidc` — set by claim-driven role mapping; revoked automatically on
-  the next login when the corresponding claim value is no longer
-  present.
-- `oidc-default` — applied to brand-new OIDC users who have no
-  claim-mapped roles, as a safety net so they still get
-  `builtin-viewer` access on first login. Survives subsequent logins
-  regardless of claim contents and is never revoked by `apply_role_mapping`.
-
 ### Built-in Roles
 
 | Role ID | Permissions |
@@ -464,27 +375,10 @@ callback validation. Entries are automatically cleaned up after 5 minutes.
 
 ### "OIDC not configured"
 
-All four required environment variables must be set:
-`TURNSTONE_OIDC_ISSUER`, `TURNSTONE_OIDC_CLIENT_ID`,
-`TURNSTONE_OIDC_CLIENT_SECRET`, and `TURNSTONE_OIDC_REDIRECT_BASE`.
-Check that none are empty or whitespace-only.
-
-### "OIDC enabled but TURNSTONE_OIDC_REDIRECT_BASE is unset"
-
-This error is logged when the three credential variables are set but
-`TURNSTONE_OIDC_REDIRECT_BASE` is missing. OIDC is disabled at startup
-to prevent Host-header-derived redirect URI spoofing. Set the variable
-to your service's externally-visible origin (e.g.
-`https://app.example.com`) and restart the server. See
-[Redirect base](#redirect-base-required) for the rationale.
-
-### Discovery silently disables OIDC with "host does not match issuer"
-
-The IdP discovery document points `token_endpoint`, `jwks_uri`, or
-`userinfo_endpoint` at a hostname that doesn't share the issuer's
-origin. If the IdP is legitimate, add the additional hostname(s) to
-`TURNSTONE_OIDC_TRUSTED_ENDPOINT_HOSTS`. Google is allow-listed
-automatically; see [Cross-host endpoints](#cross-host-endpoints).
+All three required environment variables must be set:
+`TURNSTONE_OIDC_ISSUER`, `TURNSTONE_OIDC_CLIENT_ID`, and
+`TURNSTONE_OIDC_CLIENT_SECRET`. Check that none are empty or
+whitespace-only.
 
 ### "Login session expired"
 

docs/openshell.md

@@ -94,7 +94,7 @@ cannot bypass the proxy.
 |--------|-------|---------|
 | `openai_api` | `api.openai.com` | OpenAI LLM API |
 | `anthropic_api` | `api.anthropic.com` | Anthropic LLM API |
-| `searxng` | `searxng:8080` (bundled service) | Web search backend |
+| `tavily_api` | `api.tavily.com` | Web search fallback |
 | `skills_registry` | `skills.sh` | Skill discovery |
 | `github_api` | `api.github.com` (read-only L7), `raw.githubusercontent.com` | Skill fetch, GitHub API |
 | `mcp_registry` | `registry.modelcontextprotocol.io` (read-only L7) | MCP server discovery |

docs/operations/mcp-oauth-headless.md

@@ -1,29 +0,0 @@
-# MCP OAuth in headless / scheduled / channel-driven runs
-
-**Constraint**: OAuth-MCP servers (`auth_type=oauth_user`) require browser-based user consent. Users must pre-consent via the web UI before any run that cannot drive a browser redirect.
-
-**Affected surfaces**:
-
-- Scheduled workstreams (`turnstone-console` task scheduler).
-- Discord adapter runs.
-- Slack adapter runs.
-- Any future channel adapter without an interactive browser session.
-
-**What happens when consent is missing**:
-
-A tool call against an `oauth_user` server returns a structured `mcp_consent_required` error to the agent. The agent surfaces the deferred work in its output. Turnstone persists a record to `mcp_pending_consent` so the dashboard badge surfaces the deferred consent need to the user on next login.
-
-**Recovery**:
-
-The user opens the dashboard, sees the gear-icon badge counting pending consents, opens the settings modal, clicks Connect for each affected server, and completes the OAuth dance. The pending-consent record is cleared by the OAuth callback handler on success. Subsequent scheduled / channel runs use the freshly-stored token.
-
-**Pre-consent recipe**:
-
-Before scheduling a workstream that depends on an `oauth_user` MCP server, the user should:
-
-1. Open the dashboard.
-2. Open the settings modal (gear icon).
-3. Click Connect on each MCP server the schedule will use.
-4. Confirm consent in the popup.
-
-This stores tokens that the scheduled run will reuse. Refresh-token rotation is handled transparently on the run side; only the first consent requires browser interaction.

docs/personas.md

@@ -1,173 +0,0 @@
-# Personas
-
-A **persona** is a named, reusable bundle attached to a workstream **at
-creation** that controls how its system message is composed and what
-capability envelope it runs with. Personas answer a recurring operational
-complaint: the default composition primes every session for heavy tool use,
-and there was no per-workstream dial to launch a "just write prose" or
-"evidence-first research" session.
-
-A persona is exactly four levers — no more:
-
-| Lever | What it does |
-|---|---|
-| **Base prompt** | Replaces the BASE module of the composed system message. *Only* BASE: ENV, CONTEXT, TOOLS, and POLICIES keep composing, so mandatory [prompt policies](governance.md) ride on top of every persona. Built-in personas source their prose from a repo file; operator personas store it inline — see [Where persona prompts live](#where-persona-prompts-live). |
-| **Tool visibility** | Which tools the session advertises. Tri-state: *unrestricted* (tracks tool growth and MCP catalogs), *no tools* (the TOOLS prompt block self-suppresses and zero definitions go on the wire), or an *exact set* of names. Including `tool_search` in a set makes it **soft** — tools the model discovers through search join the visible set; omitting it makes the set **hard** (the search pathway is disabled entirely). On commercial providers a soft set costs one prompt-cache re-prime per `tool_search` expansion, since each expansion rewrites the wire tool set and recomposes the prompt. |
-| **MCP** | Whether the workstream talks to MCP at all. **Session-wide**: off means no MCP tools for the persona's own hands *or* for in-process task agents, no resource/prompt catalogs, and no listener registrations. This lever expresses infrastructure intent, not behavior shaping. |
-| **Memory** | Whether the persona's **own hands** get memory: recalled-memory injection into the prompt, memory-directed metacognitive nudges, and the `memory` tool. Task agents keep their own envelope, and compaction spill/markers are session mechanics that are never persona-gated. An exact tool set that hides `memory` also mutes those nudges, and the compaction-resume pointer follows `recall`'s visibility. |
-
-Visibility is behavior shaping, **not** a security boundary: any tool call
-that does reach the wire still clears the same approval, judge, and policy
-machinery as always. RBAC and tool policies remain the enforcement layers.
-
-## Snapshot semantics — resolve once, stamp forever
-
-The persona is resolved **once**, at workstream creation, and stamped into
-`workstream_config` as five keys (`persona`, `persona_prompt`,
-`persona_tools`, `persona_mcp`, `persona_memory`). From then on the session
-reads only the stamp:
-
-- **Editing or archiving a persona never changes an existing workstream.**
-  Rehydrate, resume, and post-compaction resume all run from the stamp.
-  A mid-session REPL `/resume` adopts the target workstream's stamp for
-  prompt, tools, and memory; for the MCP lever it can only narrow in
-  place — adopting an MCP-off stamp drops the live MCP surface, while
-  adopting an MCP-on stamp into a session whose persona dropped MCP at
-  construction is refused with an error telling you to reopen the
-  workstream fresh.
-- A workstream outlives its persona — an archived persona keeps labelling
-  the workstreams stamped with it.
-- A partial or unparseable stamp is treated as corruption: session
-  construction fails loudly rather than silently falling back to a default
-  envelope the operator never chose.
-- Workstreams created before personas existed carry no stamp and keep
-  legacy behavior, byte-identical to the `engineer` / `orchestrator`
-  defaults below — with one exception: pre-1.7 workstreams that had
-  `creative_mode` set are converted by migration `063` into full
-  `writer` stamps, so they resume as writing sessions rather than as
-  legacy defaults.
-- Forking (`resume_ws` on create) resumes the source's stamped persona; the
-  fork does not re-resolve.
-
-## Seed personas
-
-Migration `063` seeds six personas. The two per-kind **defaults** carry no
-overrides at all, so a zero-touch launch behaves exactly as it did before
-personas existed:
-
-| Persona | Kind | Base prompt | Tools | MCP | Memory |
-|---|---|---|---|---|---|
-| `engineer` *(default)* | interactive | stock | unrestricted | on | on |
-| `orchestrator` *(default)* | coordinator | stock | unrestricted | on | on |
-| `scribe` | interactive | custom (faithful structuring of given material) | none | off | off |
-| `researcher` | interactive | custom (evidence-first) | `read_file`, `search`, `web_fetch`, `web_search`, `recall`, `memory`, `tool_search` (soft) | off | on |
-| `writer` | interactive | custom (creative writing partner — replaces the removed `/creative`) | none | off | on |
-| `executive` | coordinator | custom (delegate, interrogate plans, judge outcomes) | spawn/inspect/lifecycle tools plus `memory`: `spawn_workstream`, `spawn_batch`, `send_to_workstream`, `wait_for_workstream`, `inspect_workstream`, `list_workstreams`, `list_nodes`, `close_workstream`, `cancel_workstream`, `memory` (hard) | off | on |
-
-Notes:
-
-- `scribe` turns memory off deliberately: recalled memories would
-  contaminate faithful summarization with unrelated context.
-- `researcher`'s set is soft (includes `tool_search`): it starts with
-  read and evidence tools but can pull in others on demand — e.g. load
-  `bash` to run a snippet and verify a calculation. It is evidence-first,
-  not sandboxed; any escalated tool still hits the normal approval path.
-- Coordinator sessions do not merge MCP today, so the MCP lever on
-  coordinator personas is forward-compatible bookkeeping; it bites on
-  interactive workstreams.
-
-## Where persona prompts live
-
-Prompt source is explicit in the persona row — two nullable columns, never both empty:
-
-| `base_prompt_file` | `base_prompt` | Meaning |
-|---|---|---|
-| set (e.g. `scribe.md`) | — | **built-in**: prose lives in `prompts/personas/<file>`, code-owned and PR-reviewed |
-| set | set | built-in with an **operator override** layered on top (the inline text wins) |
-| — | set | **operator** persona, inline prose |
-
-A `CHECK` forbids the both-empty row, so resolution is a plain coalesce —
-`base_prompt ?? load(base_prompt_file)` — with no implicit "inherit the default"
-branch in application logic. `base_prompt_file` is set only by the migration/code
-(the admin API never exposes it): it marks a persona as built-in and blocks
-archive, so `engineer` and `orchestrator` can't be removed. To customise a
-built-in, set `base_prompt` on it (clear it to revert), or create your own persona.
-
-The resolved prompt is **frozen into the workstream at creation** — later edits to
-a built-in's file or an operator's row never change a running workstream; only new
-ones pick up the change. "No persona" is not a state: every workstream is stamped,
-and an empty `persona=` resolves to the kind's `is_default` (`engineer` /
-`orchestrator`).
-
-## Choosing a persona
-
-Every creation surface takes an optional persona; empty always means the
-kind's default (or plain legacy behavior on a database with no personas
-seeded):
-
-- **Web/console**: the persona select on the console launcher, the server
-  webui's new-workstream dialog, and the dashboard composer. Selecting a
-  persona requires **no** `persona.*` permission — the picker feed
-  (`GET /v1/api/personas`) is authenticated-only and returns display fields.
-- **API/SDK**: `CreateWorkstreamRequest.persona` (Python:
-  `create_workstream(persona=...)`; TypeScript: `{ persona: ... }`).
-- **CLI**: `turnstone --persona <name>`. Unknown or disabled names error at
-  startup. `--resume` ignores `--persona` and adopts the resumed
-  workstream's stamp.
-- **Coordinator spawn**: `spawn_workstream` / `spawn_batch` take a
-  `persona` argument, validated when the coordinator prepares the spawn
-  and re-checked by the node that creates the child (children are always
-  interactive-kind). Omitted means the interactive **default** — a child
-  never inherits its parent coordinator's persona.
-- **Sub-agents**: `task_agent` takes a `persona` argument setting the
-  sub-agent's identity and capability envelope (resolved against
-  interactive-kind personas, frozen into the task at prep). Omitted keeps
-  the default autonomous task-agent identity — never the parent's persona.
-
-## How agents discover personas
-
-Agents are told, not expected to guess: the live persona list (enabled,
-interactive-kind — children and sub-agents are always interactive) is
-injected into the `persona` parameter description of `task_agent`,
-`spawn_workstream`, and `spawn_batch` whenever the session's tool surface
-is rendered — session start, MCP catalog change, model-registry reload.
-Each entry carries the name, the default marker, and the persona's
-one-line description so the model can pick by purpose (descriptions drop
-out past 25 personas; the name list always enumerates completely).
-
-A persona created after that render is still reachable — pass its name.
-Every resolve failure enumerates the names currently valid for the kind,
-so a stale list (or a typo) self-corrects on the next attempt.
-
-Resolution is forgiving on all surfaces (they share one rule):
-
-- names match case-insensitively (`Writer` resolves `writer`);
-- an input that uniquely matches a persona's **display name**
-  (case-insensitive, among the kind's enabled personas — display names are
-  not unique, and a same-label persona of another kind neither blocks nor
-  wins) resolves to that persona; an ambiguous match errors, listing the
-  candidate slugs;
-- whatever variant matched, the stamped identity, approval chrome, and
-  wire always carry the canonical `name` slug.
-
-## Authoring (console)
-
-Personas are managed in the console's **Manage → Governance → Personas**
-tab. The admin shelf exposes exactly the four levers plus the kind
-list, the default marker, and archive. Rules:
-
-- `name` is an immutable lowercase slug — and the identifier agents and
-  the CLI launch the persona by (`persona=` on the spawn tools,
-  `--persona` on the CLI); the create shelf says so under **Name**.
-  `display_name` is a list label, editable any time, and deliberately
-  not an identifier (a unique display name happens to resolve, as a
-  forgiveness fallback — don't design workflows around it).
-- Exactly one default per kind, storage-enforced: flipping the flag on a
-  successor demotes the incumbent atomically, defaults are single-kind,
-  and a default cannot be archived.
-- **Archive only** — there is no delete verb, so every stamped
-  workstream's provenance stays explicable.
-
-RBAC: `persona.create` / `persona.read` / `persona.write` gate the admin
-CRUD (`/v1/api/admin/personas`); all three are granted to `builtin-admin`
-by migration `063`, and other roles opt in via role permission overrides.

docs/pgbouncer.md

@@ -108,7 +108,7 @@ pgbouncer:
   maxClientConn: 5000
   maxDbConnections: 80
 ```
-
+:
 ---
 
 ## Configuration reference
@@ -199,28 +199,4 @@ does not support prepared statements. Turnstone's SQLAlchemy layer does
 not use server-side prepared statements by default, so this is not an
 issue.
 
-**LISTEN / NOTIFY not supported in transaction mode** — PgBouncer's
-transaction pooling assigns a real server connection only for the
-duration of each transaction, then returns it to the pool. PostgreSQL
-`LISTEN` is session state — a transaction-pooled client can't hold the
-multi-statement session a long-lived `LISTEN` needs. The console's
-`NotifyDispatcher` (reactive node discovery via the `services` channel)
-therefore opens a **dedicated, direct-to-Postgres** connection that
-bypasses PgBouncer.
-
-Configure via `config.toml` `[database] listen_url` (preferred —
-co-located with the main `url`) or the `TURNSTONE_DB_LISTEN_URL` env var
-(config.toml wins when both are set). Defaults to the main DB URL when
-unset.
-
-| Setting | Behaviour |
-|---|---|
-| unset | Listener uses `TURNSTONE_DB_URL` as-is. Fine when PgBouncer is in **session** mode, or when there's no pooler in front of Postgres. With transaction-mode PgBouncer the listener's `LISTEN` will fail and the dispatcher retries with exponential backoff (1 s → 30 s cap) without ever succeeding. Reactive NOTIFY-driven node discovery is silently lost; the cluster collector's 60 s `_discovery_loop` is the only remaining backstop. |
-| set to direct-to-PG URL (e.g. `postgresql://…/turnstone`) | Listener bypasses PgBouncer for its one dedicated connection. Reactive discovery latency drops from up-to-60 s to ~500 ms. The rest of the storage layer continues to go through PgBouncer in transaction mode. |
-
-Set this whenever PgBouncer is in transaction mode (the recommended
-setting per this doc). The override only adds one long-lived PG
-connection per console process — sized into the cluster's
-`max_connections` budget alongside the pool.
-
 See also: [Docker deployment](docker.md) · [Security](security.md)

docs/releasing.md

@@ -6,9 +6,10 @@ Turnstone ships several parallel release tracks from a single PyPI package.
 
 | Track | Versions | Branch | Docker tags | PyPI install |
 |-------|----------|--------|-------------|--------------|
-| **Stable 1.5** | `1.5.x` | `stable/1.5` | `:1.5.x`, `:1.5` | `pip install 'turnstone==1.5.*'` |
-| **Stable 1.6** | `1.6.x` | `stable/1.6` | `:1.6.x`, `:1.6`, `:stable`, `:latest` | `pip install turnstone` |
-| **Experimental** | `1.7.0aN` | `main` | `:1.7.0aN`, `:experimental` | `pip install turnstone --pre` |
+| **Legacy 1.0** | `1.0.x` | `stable/1.0` | `:1.0.x`, `:1.0` | `pip install 'turnstone==1.0.*'` |
+| **Stable 1.3** | `1.3.x` | `stable/1.3` | `:1.3.x`, `:1.3` | `pip install 'turnstone==1.3.*'` |
+| **Stable 1.4** | `1.4.x` | `stable/1.4` | `:1.4.x`, `:1.4`, `:stable`, `:latest` | `pip install turnstone` |
+| **Experimental** | `1.5.0aN` | `main` | `:1.5.0aN`, `:experimental` | `pip install turnstone --pre` |
 
 - **Stable** tracks receive bugfixes only.  The most-recent stable minor
   owns the `:stable` / `:latest` Docker tags and the default PyPI
@@ -16,10 +17,8 @@ Turnstone ships several parallel release tracks from a single PyPI package.
 - **Experimental** (always on `main`) receives new features. May be
   rough around the edges.
 - When experimental matures, it is promoted to a new stable minor via
-  a `stable/X.Y` branch. One prior stable track is maintained alongside
-  the current one; at each promotion the oldest track is retired — its
-  branch is deleted, while its tags and released artifacts remain
-  available.
+  a `stable/X.Y` branch; older stable branches continue to receive
+  security fixes until explicitly retired.
 
 ## Version Scheme
 
@@ -34,17 +33,17 @@ Turnstone ships several parallel release tracks from a single PyPI package.
 ## Releasing an Experimental Version (from main)
 
 ```bash
-scripts/release.sh 1.7.0a2 --push
+scripts/release.sh 1.5.0a2 --push
 ```
 
-This bumps `pyproject.toml` + `turnstone/__init__.py`, regenerates `uv.lock`, commits, tags `v1.7.0a2`, and pushes. CI runs, then publish + Docker workflows fire automatically.
+This bumps `pyproject.toml` + `turnstone/__init__.py`, regenerates `uv.lock`, commits, tags `v1.5.0a2`, and pushes. CI runs, then publish + Docker workflows fire automatically.
 
 ## Releasing a Stable Patch (from stable/X.Y)
 
 ```bash
-git checkout stable/1.6
+git checkout stable/1.4
 git cherry-pick <commit-hash>    # bugfix from main
-scripts/release.sh 1.6.1 --push
+scripts/release.sh 1.4.1 --push
 ```
 
 ## Promoting Experimental to Stable
@@ -53,19 +52,19 @@ When `main` is ready for a stable release:
 
 ```bash
 # 1. Tag the stable release on main
-scripts/release.sh 1.6.0 --push
+scripts/release.sh 1.5.0 --push
 
 # 2. Create the stable maintenance branch from that tag
-git branch stable/1.6 v1.6.0
-git push origin stable/1.6
+git branch stable/1.5 v1.5.0
+git push origin stable/1.5
 
 # 3. Start the next experimental cycle on main
-scripts/release.sh 1.7.0a1 --push
+scripts/release.sh 1.6.0a1 --push
 ```
 
-The previous stable branch continues to receive security-only patches;
-the track before it is retired at each promotion (at 1.6.0:
-`stable/1.5` stays maintained, `stable/1.4` is retired).
+The previous stable branch (`stable/1.4`) continues to receive
+security-only patches; older tracks (`stable/1.0`, `stable/1.3`) are
+retired when they fall out of support.
 
 ## CI/CD Pipeline
 

docs/sdk.md

@@ -69,7 +69,7 @@ Both `TurnstoneServer` (sync) and `AsyncTurnstoneServer` (async) expose:
 |----------|--------|---------|
 | **Workstreams** | `list_workstreams()` | `ListWorkstreamsResponse` |
 | | `dashboard()` | `DashboardResponse` |
-| | `create_workstream(*, name, model, auto_approve, skill, persona, initial_message, attachments)` | `CreateWorkstreamResponse` |
+| | `create_workstream(*, name, model, auto_approve, skill, initial_message, attachments)` | `CreateWorkstreamResponse` |
 | | `close_workstream(ws_id)` | `StatusResponse` |
 | **Attachments** | `upload_attachment(ws_id, filename, data, *, mime_type=...)` | `UploadAttachmentResponse` |
 | | `list_attachments(ws_id)` | `ListAttachmentsResponse` |
@@ -77,6 +77,7 @@ Both `TurnstoneServer` (sync) and `AsyncTurnstoneServer` (async) expose:
 | | `delete_attachment(ws_id, attachment_id)` | `StatusResponse` |
 | **Chat** | `send(message, ws_id)` | `SendResponse` |
 | | `approve(*, ws_id, approved, feedback, always)` | `StatusResponse` |
+| | `plan_feedback(*, ws_id, feedback)` | `StatusResponse` |
 | | `command(*, ws_id, command)` | `StatusResponse` |
 | | `cancel(ws_id, *, force=False)` | `StatusResponse` |
 | **Streaming** | `stream_events(ws_id)` | `Iterator[ServerEvent]` |
@@ -100,7 +101,7 @@ Both `TurnstoneConsole` (sync) and `AsyncTurnstoneConsole` (async) expose:
 | | `workstreams(*, state, node, search, sort, page, per_page)` | `ClusterWorkstreamsResponse` |
 | | `node_detail(node_id)` | `NodeDetailResponse` |
 | | `snapshot()` | `ClusterSnapshotResponse` |
-| | `create_workstream(*, node_id, name, model, initial_message, skill, persona)` | `ConsoleCreateWsResponse` |
+| | `create_workstream(*, node_id, name, model, initial_message, skill)` | `ConsoleCreateWsResponse` |
 | **Schedules** | `list_schedules()` | `ListSchedulesResponse` |
 | | `create_schedule(*, name, schedule_type, initial_message, ...)` | `ScheduleInfo` |
 | | `get_schedule(task_id)` | `ScheduleInfo` |
@@ -133,12 +134,10 @@ SSE events are deserialized into typed dataclasses. Use `event.type` to discrimi
 | `tool_result` | `ToolResultEvent` | `call_id`, `name`, `output`, `is_error` |
 | `tool_output_chunk` | `ToolOutputChunkEvent` | `call_id`, `chunk` |
 | `status` | `StatusEvent` | `prompt_tokens`, `total_tokens`, `pct`, `effort`, `cache_creation_tokens`, `cache_read_tokens` |
+| `plan_review` | `PlanReviewEvent` | `content` |
 | `error` | `ErrorEvent` | `message` |
 | `info` | `InfoEvent` | `message` |
 | `stream_end` | `StreamEndEvent` | — |
-| `state_change` | `StateChangeEvent` | `state` ∈ `running`/`thinking`/`attention`/`idle`/`error` |
-| `in_progress_snapshot` | `InProgressSnapshotEvent` | `content`, `reasoning` (one-shot mid-stream refresh resume) |
-| `approval_resolved` | `ApprovalResolvedEvent` | `approved`, `feedback` |
 | `cancelled` | `CancelledEvent` | — |
 
 **Global events** (from `stream_global_events()`):

docs/security.md

@@ -67,7 +67,7 @@ Scopes are hierarchical — higher scopes imply all lower ones.
 | Method | Path pattern | Required scope |
 |--------|-------------|----------------|
 | GET | Any protected path | `read` |
-| POST | `/api/command` | `write` |
+| POST | `/api/plan`, `/api/command` | `write` |
 | POST | `/api/workstreams/new`, `/api/cluster/workstreams/new` | `write` |
 | POST | `/api/workstreams/{ws_id}/{send,cancel,close,delete,open,refresh-title,title,attachments}` | `write` |
 | DELETE | `/api/workstreams/{ws_id}/send` (dequeue), `/api/workstreams/{ws_id}/attachments/{attachment_id}` | `write` |

docs/settings.md

@@ -59,32 +59,20 @@ from ConfigStore. Model names and context windows are now configured per-model
 in the Models tab. A startup warning is logged if these keys appear in
 `config.toml`.
 
-### Reasoning persistence (per-model)
+### Plan / task agent overrides
 
-Two boolean flags on `model_definitions` (migration 052) control how
-reasoning text round-trips per model:
-
-| Flag | Default | Effect |
-|------|---------|--------|
-| `surface_persisted_reasoning` | `True` | Surface stored reasoning text on `/history` payloads so a page reload re-renders the reasoning bubble. **Storage of reasoning bytes is independent of this flag** — they ride in `provider_data` regardless. |
-| `replay_reasoning_to_model` | `False` | Send stored reasoning blocks back to the provider on subsequent turns. Capability-gated: only takes effect when the model's `ModelCapabilities.supports_reasoning_replay` is also `True`. Set on canonical OpenAI gpt-5*/o-series and Anthropic Claude entries; unknown / local-server models default to `False` so an operator who flips the flag on a model whose API doesn't understand reasoning replay silently no-ops rather than 400-ing. |
-
-Edit both via the admin Models tab. See the architecture doc for the
-provider-side mechanics (Anthropic `thinking`, OpenAI Responses
-`reasoning` + `include=["reasoning.encrypted_content"]`, synthetic
-`reasoning_text` for Chat Completions / vLLM / llama.cpp / Gemini-compat).
-
-### Task agent overrides
-
-`task_agent` sub-sessions resolve independently from the conversation model
-so operators can pick a cheaper/faster model for autonomous loops:
+`plan_agent` and `task_agent` sub-sessions resolve independently from the
+conversation model so operators can pick a cheaper/faster model for
+autonomous loops:
 
 | Setting | Purpose |
 |---------|---------|
-| `model.task_alias` | Alias used for `task_agent` sub-sessions. Falls back to `[model].agent_model` in config.toml, then the session's active model. |
+| `model.plan_alias` | Alias used for `plan_agent` sub-sessions. Falls back to `[model].plan_model` in config.toml, then `[model].agent_model`, then the session's active model. |
+| `model.task_alias` | Alias used for `task_agent` sub-sessions. Same fallback chain as `plan_alias`. |
+| `model.plan_effort` | Reasoning effort for `plan_agent` (`none` / `minimal` / `low` / `medium` / `high` / `xhigh` / `max`). Defaults to `high`. |
 | `model.task_effort` | Reasoning effort for `task_agent`. Empty string means "inherit from the session". |
 
-Both are live-editable from the Settings tab and take effect on the
+All four are live-editable from the Settings tab and take effect on the
 next sub-agent invocation — no restart required.
 
 ---
@@ -107,12 +95,12 @@ initialization:
 
 | Section | Settings |
 |---------|----------|
-| `model` | default_alias, temperature, max_tokens, reasoning_effort, task_alias, task_effort |
+| `model` | default_alias, temperature, max_tokens, reasoning_effort, plan_alias, task_alias, plan_effort, task_effort |
 | `session` | instructions, retention_days, compact_max_tokens, auto_compact_pct |
 | `tools` | timeout, truncation, agent_max_turns, skip_permissions, search, search_threshold, search_max_results |
 | `server` | workstream_idle_timeout, max_workstreams |
 | `cluster` | node_fan_out_limit, mcp_max_servers |
-| `mcp` | config_path, registry_url |
+| `mcp` | config_path, refresh_interval, registry_url |
 | `ratelimit` | enabled, requests_per_second, burst, trusted_proxies |
 | `health` | backend_probe_interval, backend_probe_timeout, circuit_breaker_threshold, circuit_breaker_cooldown |
 | `judge` | enabled, model, provider, base_url, api_key, confidence_threshold, max_context_ratio, timeout, read_only_tools, output_guard, redact_secrets, cancel_on_approval |

docs/tls.md

@@ -8,7 +8,7 @@ inter-service communication, powered by [lacme](https://pypi.org/project/lacme/)
 ## Quick Start (Docker Compose)
 
 ```bash
-docker compose -f turnstone/deploy/compose.yaml -f deploy/docker-compose.tls.yml up
+docker compose -f compose.yaml -f deploy/docker-compose.tls.yml up
 ```
 
 This:
@@ -19,53 +19,6 @@ This:
 
 ---
 
-## Browser access (dashboard HTTPS)
-
-The mTLS above secures **service-to-service** traffic (node↔node, collector and
-routing proxy → nodes). The **console dashboard itself serves plain HTTP** — and
-must, because it is the cluster's ACME bootstrap endpoint: new nodes fetch
-`/acme/ca.pem` and provision their first cert over HTTP, before they have the CA
-to verify TLS. So the console cannot be HTTPS-only on its port.
-
-To put the **browser → console** hop on HTTPS, terminate TLS at a reverse proxy
-in front of the console. The dev stack (root `compose.yaml`) ships a `caddy`
-service that does exactly this — and it's the only published entry point, so the
-dashboard is HTTPS by default:
-
-```bash
-docker compose up
-# dashboard: https://localhost:${CONSOLE_HTTPS_PORT:-8443}
-```
-
-The production stack (`turnstone/deploy/compose.yaml`) bundles the same `caddy`
-service, so the dashboard is HTTPS there too. For a real domain and a publicly
-trusted cert, point Caddy at Let's Encrypt by editing `turnstone/deploy/Caddyfile`.
-
-```
-browser  --h2 / HTTPS-->  caddy:443  --h1.1 / HTTP-->  console:8090
-```
-
-Caddy uses its **own local CA** (`tls internal`, see `turnstone/deploy/Caddyfile`), so the
-setup is self-contained with no dependency on the console's ACME path. Trust the
-local root once to silence the browser warning:
-
-```bash
-docker compose exec caddy \
-  cat /data/caddy/pki/authorities/local/root.crt   # import into your OS/browser
-```
-
-**Can Caddy get its cert from the console's internal CA instead?** Technically
-yes — the console exposes a real ACME directory (`/acme/directory`) with
-auto-approval, so Caddy's `tls { ca http://console:8090/acme/directory }` would
-mint a cert for any name. It's not recommended as the default: lacme's ACME
-responder is built for turnstone's own client (interop with Caddy's client is
-unverified), it couples Caddy startup to the console, and the browser must trust
-a private CA either way — so it buys nothing over `tls internal`. For a publicly
-trusted cert (no warning), point Caddy at Let's Encrypt with a real domain
-instead.
-
----
-
 ## Architecture
 
 ```
@@ -88,32 +41,6 @@ Console (CA + ACME Server)
 - **Frontend cert** (HTTPS): From an external ACME CA (e.g. Let's Encrypt)
   if `tls.acme_directory` is set, otherwise self-issued from the internal CA.
 
-### Boot, retry, and fallback
-
-With `tls.enabled`, a node fetches the CA cert and requests its own cert
-during startup, retrying with exponential backoff (6 attempts, ~31 s total)
-— enough to absorb a whole-stack restart where every node races the console
-for its listener. If all attempts fail, the node **falls back to plain
-HTTP** (availability over confidentiality) and reports `"tls": "fallback"`
-in `GET /health`; a node serving HTTPS reports `"tls": "active"`, and the
-key is absent when TLS is disabled. Fallback persists until the next
-restart — it is not upgraded in place.
-
-### Container healthcheck under mTLS
-
-An mTLS listener rejects plain-HTTP probes at the socket, so
-`docker/healthcheck.py` falls back to HTTPS when the plain probe fails:
-it presents the node's own cert as the client cert and pins the cluster
-CA, using the PEM files the server writes at boot under
-`$TURNSTONE_TLS_PEM_DIR` (default `<tmpdir>/turnstone-tls`). The probe
-dials `localhost` for the TLS attempt — the internal CA issues DNS SANs
-only, so a literal-IP URL would fail verification. Cert renewal rewrites
-the PEM dir alongside the live listener swap, so the probe's client cert
-never outlives the served cert. With TLS disabled the plain probe succeeds
-and the PEM directory is never consulted. On bare metal with multiple
-nodes per host, set `TURNSTONE_TLS_PEM_DIR` per node (each boot clears
-stale `lacme-pem-*` dirs under its root).
-
 ---
 
 ## Configuration
@@ -244,20 +171,10 @@ const client = new TurnstoneServer({
 ### Node Bootstrap Flow
 
 1. Node starts, connects to shared database (plain connection)
-2. Discovers the console URL from the `services` table — or honors an explicit
-   `TURNSTONE_CONSOLE_URL` (a bare-metal node outside the compose network can't
-   resolve the in-cluster `console` name, so it points this at the console's
-   published ACME endpoint)
+2. Discovers console URL from `services` table
 3. Fetches CA root cert from `http://console/acme/ca.pem` (plain HTTP, TOFU)
-4. Requests a service cert via ACME (plain HTTP, JWS-signed). The cert's
-   primary domain / SAN is the node's **advertised host** (the host of
-   `TURNSTONE_ADVERTISE_URL`, e.g. `node-1`) — the name peers actually dial,
-   not the container hostname. This makes mTLS hostname verification succeed
-   and keys the cert by a stable name that survives container recreation.
-5. Starts auto-renewal (24h interval, re-issues before expiry) **scoped to its
-   own certificate**. Each node renews only its own cert; the shared store is
-   never swept wholesale. Renewed certs are hot-swapped into the live HTTPS
-   listener with no restart.
+4. Requests service cert via ACME protocol (plain HTTP, JWS-signed)
+5. Starts auto-renewal (24h interval, re-issues before expiry)
 6. All subsequent inter-service communication uses mTLS
 
 ### Console Startup Flow
@@ -266,9 +183,7 @@ const client = new TurnstoneServer({
 2. Initialize CA (load from DB or generate new root key)
 3. Mount ACME responder at `/acme` (serves `/ca.pem` natively)
 4. Issue console certs (internal + optional frontend)
-5. Start CA-direct auto-renewal (no network, signs directly), scoped to the
-   console's own cert, plus a periodic GC that reclaims cert rows for
-   long-departed nodes
+5. Start CA-direct auto-renewal (no network, signs directly)
 6. Register console URL in services table with heartbeat
 
 ---
@@ -280,32 +195,17 @@ const client = new TurnstoneServer({
 Certs are valid for 48 hours. If auto-renewal stopped (e.g. console was down),
 restart the service to re-request a cert.
 
-### Collector/proxy can't reach a node (TLS hostname mismatch)
-
-mTLS verifies a node's advertised host against the cert's SANs. Each node's
-cert is issued for the host in its `TURNSTONE_ADVERTISE_URL`, so that name is
-always a SAN automatically — you do **not** need to set `TURNSTONE_TLS_SANS`
-per node. Only set `TURNSTONE_TLS_SANS` to add *extra* names (e.g. a node
-fronted under a second hostname). Symptom if this is wrong: the console
-dashboard shows nodes as unreachable and `openssl s_client` reports the served
-cert's SANs don't include the dialed name.
-
 ### "No console service found"
 
 The console registers itself in the `services` table on startup. If the console
 hasn't started or the registration expired (1 hour TTL), nodes can't discover
-it. Set `TURNSTONE_CONSOLE_URL` to a reachable console address (this is also how
-a bare-metal node that can't resolve the in-cluster `console` name enrolls).
+it. Use `--console-url` explicitly.
 
-### Browser HTTPS to the console
+### Let's Encrypt for console frontend
 
-The console serves plain HTTP (it's the ACME bootstrap endpoint — see
-[Browser access](#browser-access-dashboard-https)). Put browser traffic on
-HTTPS by terminating TLS at a reverse proxy; the `cluster` profile's `caddy`
-service does this with Caddy's local CA. For a publicly trusted cert, front the
-console with a proxy pointed at Let's Encrypt using a real domain. The
-`tls.acme_directory` setting only governs the console's internal/frontend cert
-material — it does **not** make the console listen on HTTPS itself.
+Set `tls.acme_directory` to `https://acme-v02.api.letsencrypt.org/directory`
+in the admin Settings tab. The console will request a publicly trusted cert
+for its HTTPS endpoint. Internal mTLS still uses the private CA.
 
 ### Verifying the cert chain
 

docs/tools.md

@@ -1,6 +1,6 @@
 # Tools Reference
 
-turnstone exposes 17 built-in tools plus any number of external MCP tools to the
+turnstone exposes 19 built-in tools plus any number of external MCP tools to the
 LLM via the OpenAI function-calling interface. Built-in tools are defined as JSON
 files under `turnstone/tools/` and loaded at startup by `turnstone/core/tools.py`.
 MCP tools are discovered from configured MCP servers at startup by
@@ -22,6 +22,7 @@ schema plus turnstone-specific metadata keys:
     "properties": { ... },
     "required": ["param1"]
   },
+  "agent": true,
   "task_agent": true,
   "auto_approve": true,
   "primary_key": "param1"
@@ -32,7 +33,8 @@ schema plus turnstone-specific metadata keys:
 
 | Key            | Type | Meaning |
 |----------------|------|---------|
-| `task_agent`   | bool | Tool is available to task sub-agents. |
+| `agent`        | bool | Tool is available to plan/task sub-agents (read-only subset). |
+| `task_agent`   | bool | Tool is available to task sub-agents (broader subset). |
 | `auto_approve` | bool | Tool runs without user confirmation (read-only, safe operations). |
 | `primary_key`  | str  | When the model sends a bare string instead of JSON args, map it to this parameter name. |
 
@@ -44,10 +46,12 @@ schema plus turnstone-specific metadata keys:
 
 | Name                | Description |
 |---------------------|-------------|
-| `TOOLS`             | All 29 loaded built-in tool definitions (interactive + coordinator union). Sessions send a kind-specific subset (`INTERACTIVE_TOOLS` or `COORDINATOR_TOOLS`). |
+| `TOOLS`             | All 19 tool definitions (sent to the model). |
+| `AGENT_TOOLS`       | Tools with `agent: true` -- available to plan sub-agents. Read-only tools. |
 | `TASK_AGENT_TOOLS`  | Tools with `task_agent: true` -- available to task sub-agents. Includes write operations. |
-| `TASK_AUTO_TOOLS`   | Set of all tool names with `auto_approve: true` -- used by task-agent sub-sessions to skip confirmation for matching available tools. |
-| `BUILTIN_TOOL_NAMES`| Frozenset of all 29 built-in tool names (interactive + coordinator union). Used by tool search to distinguish always-on tools from deferrable MCP tools. |
+| `AGENT_AUTO_TOOLS`  | Set of tool names with `auto_approve: true` -- no user confirmation needed. |
+| `TASK_AUTO_TOOLS`   | Same as `AGENT_AUTO_TOOLS` (identical filter). |
+| `BUILTIN_TOOL_NAMES`| Frozenset of all 19 built-in tool names. Used by tool search to distinguish always-on tools from deferrable MCP tools. |
 | `PRIMARY_KEY_MAP`   | Dict mapping tool name to its `primary_key` parameter name. |
 
 ---
@@ -65,7 +69,7 @@ Tool execution follows a three-phase pipeline inside `ChatSession._execute_tools
 - Parses the JSON arguments (with fallback for malformed JSON).
 - If JSON parsing fails entirely, uses `PRIMARY_KEY_MAP` to map a bare string
   to the correct parameter.
-- Dispatches to the matching `_prepare_{func_name}()` handler. There are 17
+- Dispatches to the matching `_prepare_{func_name}()` handler. There are 19
   built-in tools plus `tool_search` (synthetic, client-side BM25 fallback) and
   the generic `_prepare_mcp_tool()` handler for MCP tools.
 - Validates arguments and builds a preview dict containing:
@@ -107,6 +111,9 @@ Each item's `execute` callable is invoked:
   denials are tracked separately. This removes the need for text-prefix heuristics.
   Other tools deliver results atomically via
   `ui.on_tool_result(call_id, name, output, is_error=...)` only.
+- Special post-execution gate for `plan`: the plan output is shown to the user
+  for review, and the user can reject or annotate it.
+
 ---
 
 ## Tool Approval Flow
@@ -114,6 +121,7 @@ Each item's `execute` callable is invoked:
 **Auto-approved** (no user confirmation needed at runtime):
 - `read_file` -- reads files, no side effects
 - `search` -- grep-style search, no side effects
+- `man` -- reads man pages, no side effects
 - `memory` -- structured persistent memory (save/search/delete/list)
 - `recall` -- searches conversation history
 - `notify` -- sends notifications to linked channels (time-sensitive, auto-approved for urgency)
@@ -122,17 +130,16 @@ Each item's `execute` callable is invoked:
 - `bash` -- arbitrary command execution
 - `write_file` -- creates or overwrites files
 - `edit_file` -- modifies file content
+- `math` -- sandboxed computation (confirmation required despite being sandboxed)
 - `web_fetch` -- fetches a URL (SSRF-protected, but makes network requests)
-- `web_search` -- web search via self-hosted SearxNG (makes network requests)
-- `task_agent` -- spawns an autonomous sub-agent
-- `open_preview` -- **URL targets only** (network access, gated like `web_fetch`);
-  file-path and `attachment:` targets are local reads and run unprompted like
-  `read_file`
+- `web_search` -- web search via Tavily API (makes network requests)
+- `task` -- spawns an autonomous sub-agent
+- `plan` -- spawns a planning sub-agent, plus post-execution review gate
 
 Note: The JSON schema metadata key `auto_approve` controls membership in
-`TASK_AUTO_TOOLS` (used for task agent sub-sessions). The actual runtime
-approval behavior is determined by the `needs_approval` field set in each
-`_prepare_*` method on `ChatSession`. These two mechanisms can differ.
+`AGENT_AUTO_TOOLS`/`TASK_AUTO_TOOLS` (used for agent sub-sessions). The actual
+runtime approval behavior is determined by the `needs_approval` field set in
+each `_prepare_*` method on `ChatSession`. These two mechanisms can differ.
 
 ---
 
@@ -158,10 +165,12 @@ Every tool defines a `primary_key`. The mapping is:
 | `write_file` | `content`   |
 | `edit_file`  | `old_string`|
 | `search`     | `query`     |
+| `math`       | `code`      |
+| `man`        | `page`      |
 | `web_fetch`  | `url`       |
 | `web_search` | `query`     |
-| `open_preview` | `target`  |
 | `task_agent` | `prompt`    |
+| `plan_agent` | `goal`      |
 | `memory`     | `name`      |
 | `recall`     | `query`     |
 | `notify`     | `message`   |
@@ -185,7 +194,7 @@ Execute a bash command and return stdout + stderr.
 - **What it does**: Runs the command in a subprocess with a configurable timeout. Commands are sanitized and checked against a blocklist (e.g. `rm -rf /`). Environment variables containing secrets are scrubbed (`*_KEY`, `*_SECRET`, `*_TOKEN`, etc.).
 - **Output format**: Stdout is returned directly. Stderr lines are prefixed with `[stderr]` so the model can distinguish them. When the command itself redirects stderr to stdout (`2>&1`), no prefix is added. Output exceeding 256KB is truncated (head + tail preserved, middle replaced with a truncation notice).
 - **Auto-approve**: No -- requires user confirmation.
-- **Agent availability**: `task_agent` only.
+- **Agent availability**: `task_agent` only (not available to plan sub-agents).
 
 ---
 
@@ -203,7 +212,7 @@ base64-encoded image data for supported image formats.
 - **What it does**: For text files, reads and returns content with line numbers. For image files (PNG, JPEG, GIF, WebP, BMP, TIFF, ICO), returns image data as multi-part content when the model supports vision, or a text description when it does not. SVG files are read as text. Images larger than 4 MB are rejected. Must be called before `edit_file` on the same path (the session tracks which files have been read).
 - **Vision support**: Controlled by `ModelCapabilities.supports_vision`. All commercial OpenAI and Anthropic models have vision enabled. Local models (vLLM, llama.cpp, NIM) default to off — enable via `[models.*.capabilities] supports_vision = true` in config.toml.
 - **Auto-approve**: Yes.
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 ---
 
@@ -259,7 +268,7 @@ Show a unified diff between two files, or between a file and a provided string.
 
 - **What it does**: Returns unified diff output using Python's `difflib`. Binary files (containing null bytes) are rejected with a clear error. Files read through `diff_file` satisfy `edit_file`'s read guard — you can diff then edit without a separate `read_file` call. Large diffs are streamed with early cutoff at the tool truncation limit.
 - **Auto-approve**: Yes (read-only).
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 ---
 
@@ -274,12 +283,44 @@ Search file contents for a regex pattern.
 
 - **What it does**: Recursively searches for the pattern using `grep -rn`. Returns matching lines with file paths and line numbers.
 - **Auto-approve**: Yes.
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
+
+---
+
+## Computation
+
+### math
+
+Execute Python code for math and computation in a sandbox.
+
+| Parameter | Type   | Required | Description |
+|-----------|--------|----------|-------------|
+| `code`    | string | yes      | Python code to execute. Must use `print()` for output. |
+
+- **What it does**: Runs Python code in a sandboxed environment with pre-imported libraries: `sympy`, `numpy`, `scipy`, `math`, `fractions`, `itertools`, `functools`, `collections`, `decimal`, `operator`, `random`, `re`, `string`. Common sympy names (`symbols`, `solve`, `simplify`, `sqrt`, `Matrix`, etc.) are pre-imported. `pytest` is also available for import.
+- **Installation**: `sympy`, `numpy`, `scipy`, and `pytest` require the `[sandbox]` extras group: `pip install turnstone[sandbox]` (included in `[all]`).
+- **Auto-approve**: Yes.
+- **Agent availability**: `agent` and `task_agent`.
 
 ---
 
 ## Information
 
+### man
+
+Read a man page.
+
+| Parameter | Type   | Required | Description |
+|-----------|--------|----------|-------------|
+| `page`    | string | yes      | The man page name (e.g. `grep`, `socket`, `printf`). |
+| `section` | string | no       | Manual section (e.g. `1` commands, `2` syscalls, `3` library). |
+
+- **What it does**: Returns the full formatted manual entry. Preferred over `bash('man ...')` or `web_search` for command/API documentation.
+- **Auto-approve**: Yes.
+- **Agent availability**: `agent` and `task_agent`.
+
+---
+
 ### web_fetch
 
 Fetch a URL and extract specific information from it.
@@ -289,9 +330,9 @@ Fetch a URL and extract specific information from it.
 | `url`      | string | yes      | The URL to fetch (must start with `http://` or `https://`). |
 | `question` | string | yes      | What to extract or answer from the page content. |
 
-- **What it does**: Fetches the URL, strips HTML to plain text, and uses the LLM to extract the answer to the question from the page content. Every redirect hop is SSRF-screened before it is requested. Private/internal addresses are refused by default; enable `tools.allow_private_network` (console Settings → Tools) to make them approvable for self-hosted setups whose services live on the local network — the approval prompt marks such requests, and a public site redirecting into private space is refused regardless.
+- **What it does**: Fetches the URL, strips HTML to plain text, and uses the LLM to extract the answer to the question from the page content. Protected against SSRF (blocks private/internal IPs).
 - **Auto-approve**: No -- requires user confirmation (makes network requests).
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 ---
 
@@ -303,88 +344,20 @@ Search the web using a text query.
 |---------------|---------|----------|-------------|
 | `query`       | string  | yes      | The search query. |
 | `max_results` | integer | no       | Max results to return (default 5, max 20). |
-| `category`    | string  | no       | Search category: `general` (default), `news`, `it` (code/tech), or `science`. Maps to SearxNG categories; the model picks per query. |
+| `topic`       | string  | no       | Search topic: `general`, `news`, or `finance` (default `general`). |
 
 - **What it does**: Searches the web and returns ranked results with titles, URLs, and content snippets. Uses provider-native search when available:
-  - **Anthropic**: Replaced at the API boundary with Anthropic's `web_search_20250305` server-side tool. Claude decides when to search; the API executes it and returns results with citations inline. No backend needed.
+  - **Anthropic**: Replaced at the API boundary with Anthropic's `web_search_20250305` server-side tool. Claude decides when to search; the API executes it and returns results with citations inline. No Tavily key needed.
   - **OpenAI search models** (`gpt-5-search-api`): Replaced with `web_search_options` parameter. The model always searches and returns `url_citation` annotations.
-  - **Local/vLLM models**: Falls back to a self-hosted [SearxNG](https://searxng.org) instance. Set `searxng_url` in `config.toml` `[tools]` or `$TURNSTONE_SEARXNG_URL` (the docker-compose stack bundles a `searxng` service and points at it by default). Operators with a custom MCP search server can instead set `web_search_backend = "mcp:server:tool"`.
+  - **Local/vLLM models**: Falls back to the Tavily API. Requires `tavily_key` in `config.toml` or `$TAVILY_API_KEY`.
 - **Auto-approve**: Yes (auto-approved for all tool dispatch paths).
-- **Agent availability**: `task_agent`.
-
----
-
-### Reranking (optional)
-
-`web_search` can use an external **reranker** to re-order the backend's result pool by relevance to the query before returning the top hits. Turnstone runs no reranker model itself; it POSTs to a Cohere/Jina-compatible `/rerank` endpoint (self-hosted [vLLM](https://docs.vllm.ai) / [TEI](https://github.com/huggingface/text-embeddings-inference) / llama.cpp, or hosted Cohere/Jina/Voyage).
-
-**Disabled by default.** In the console **Models** tab, add a model definition whose `base_url` is a Cohere/Jina-compatible `/rerank` endpoint and whose capabilities include `{"supports_rerank": true}`, then select it under **Models → Roles → Reranker**. It's managed like every other model (write-only key, enable/disable, calibration). The reranker is purely this per-model definition — there is no global `rerank_url`-style endpoint setting.
-
-The `rerank_web_search` toggle defaults on once a reranker is selected. If the endpoint is unreachable or errors, web_search falls back silently to the backend's native result order — reranking never makes a search fail.
-
-When `rerank_bm25` is enabled, the candidate text for memory, tool, and skill retrieval (memory name/description/content and tool/skill names + descriptions) is also sent to the rerank endpoint — a self-hosted endpoint (vLLM/TEI/llama.cpp) keeps it on your infrastructure, a hosted provider (Cohere/Jina/Voyage) sends it off-box.
-
-**Serving a Qwen3-Reranker with vLLM.** The model is instruction-aware, so vLLM **must** apply its chat template — pass `--chat-template` explicitly. Without it the bare query produces near-random scores and reranking actively *hurts* retrieval (verified: an irrelevant passage outscored the correct one):
-
-```bash
-vllm serve /models/Qwen3-Reranker-0.6B \
-  --runner pooling \
-  --hf-overrides '{"architectures":["Qwen3ForSequenceClassification"],"classifier_from_token":["no","yes"],"is_original_qwen3_reranker":true}' \
-  --chat-template /models/Qwen3-Reranker-0.6B/chat_template.jinja \
-  --served-model-name qwen3-reranker --port 8000
-```
-
-Then add a reranker model in the **Models** tab with `base_url` `http://vllm:8000/rerank` (model name `qwen3-reranker`) and select it under **Models → Roles → Reranker**.
-
-For an endpoint that does *not* apply the model's template, set `rerank_instruction` instead — Turnstone then wraps each query as `<Instruct>: {instruction}` / `<Query>: {query}` (Qwen3's own default is `Given a web search query, retrieve relevant passages that answer the query`). Use the chat template **or** the instruction, not both (they double-wrap).
-
-**Picking `rerank_bm25_threshold`.** The relevance floor that gates proactive memory injection is a probability in `[0, 1]`, but the right value differs per model (a sharp 0.6B reranker may want ~0.95; a broader 4B ~0.33). Calibrate it against your endpoint:
-
-```bash
-turnstone-admin rerank-calibrate           # probe the endpoint, recommend a floor
-turnstone-admin rerank-calibrate --apply   # ...and write tools.rerank_bm25_threshold
-```
-
-It reports the score scale, whether the endpoint cleanly separates relevant from irrelevant probes (a **"no clean separation"** result flags a mis-served or weak reranker), and the suggested floor. Leave the threshold at `0` to rerank-without-filtering.
-
----
-
-### open_preview
-
-Show the user rich content in a preview pane beside the conversation.
-
-| Parameter | Type   | Required | Description |
-|-----------|--------|----------|-------------|
-| `target`  | string | yes      | An http(s) URL, a file path, or `attachment:<id>` for a file attached to the conversation. |
-| `kind`    | string | no       | Rendering override: `web`, `pdf`, `image`, `table`, `text`, or `markdown`. Detected from the content when omitted. |
-| `title`   | string | no       | Pane header title. Defaults to the page title, filename, or URL. |
-
-- **What it does**: Resolves the target to bytes (URLs fetch through the same
-  SSRF-guarded path as `web_fetch`, screened per redirect hop, honoring the
-  same `tools.allow_private_network` opt-in), classifies the
-  content, stores it content-addressed against the workstream, and opens the
-  frontend preview pane beside the conversation: web pages render in a fully
-  sandboxed iframe (no scripts, opaque origin), PDFs in the browser viewer,
-  images inline, CSV/TSV/JSON as a sortable table, text/markdown rendered. A
-  previewed web page loads none of its remote images or styles by default, so
-  opening it never reveals the viewer to the page's site; a toggle in the pane
-  header turns remote content back on for that preview. The
-  model receives only a one-line confirmation — to reason about content, use
-  `web_fetch` / `read_file` instead. Preview content is size-capped per kind
-  (pages 4 MB, PDFs 32 MB, images 4 MB, tables 2 MB, text 512 KB) and GC'd
-  with the workstream.
-- **Auto-approve**: URL targets require confirmation (network access); file
-  paths and `attachment:` targets run unprompted (local reads).
-- **Agent availability**: interactive sessions only (not `task_agent`, not
-  coordinators).
-- **Surfaces**: the pane renders in the web UI (standalone and console). The
-  CLI prints the confirmation line only — there is no terminal pane.
+- **Agent availability**: `agent` and `task_agent`.
 
 ---
 
 ## Agent
 
-The tool name uses the `_agent` suffix — bare `task` collides with
+Tool names use the `_agent` suffix — bare `plan` / `task` collide with
 chat-template channel names on some local models.
 
 ### task_agent
@@ -395,9 +368,23 @@ Delegate a general-purpose task to an autonomous sub-agent.
 |-----------|--------|----------|-------------|
 | `prompt`  | string | yes      | Complete task description for the sub-agent. |
 
-- **What it does**: Spawns a sub-agent that inherits the `TASK_AGENT_TOOLS` set (read, write, edit, search, bash, web tools, memory tools). The sub-agent runs autonomously to completion. Use for work that requires file modifications or command execution.
+- **What it does**: Spawns a sub-agent that inherits the `TASK_AGENT_TOOLS` set (read, write, edit, search, bash, math, man, web tools, memory tools). The sub-agent runs autonomously to completion. Use for work that requires file modifications or command execution.
 - **Auto-approve**: No -- requires user confirmation.
-- **Agent availability**: Top-level only.
+- **Agent availability**: Not available to sub-agents (top-level only).
+
+---
+
+### plan_agent
+
+Plan before implementing -- an autonomous agent explores the codebase and writes a structured plan.
+
+| Parameter | Type   | Required | Description |
+|-----------|--------|----------|-------------|
+| `prompt`  | string | yes      | What to plan -- the goal, constraints, and scope. |
+
+- **What it does**: Spawns a planning sub-agent with `AGENT_TOOLS` (read-only tools: `read_file`, `search`, `math`, `man`, `web_fetch`, `web_search`). The agent explores the codebase and writes a structured plan to `.plan-<ws_id>.md` (unique per workstream, so concurrent workstreams never collide). If the `plan` tool has been called before in the same session, the prior plan is passed to the agent as context so it refines rather than restarts. After completion, the user is prompted to review and can accept, reject, or annotate the plan.
+- **Auto-approve**: No -- requires user confirmation, plus post-execution review gate.
+- **Agent availability**: Not available to sub-agents (top-level only).
 
 ---
 
@@ -458,7 +445,7 @@ Provide either `username` for user-based targeting or `channel_type` +
 
 - **What it does**: Sends a notification via the channel gateway's HTTP endpoint (`POST /v1/api/notify`). The server queries the `services` table for healthy channel gateways, authenticates with a service JWT (`aud: turnstone-channel`), and delivers to the first healthy gateway. On failure, retries up to 2 additional times with backoff (1s, 3s). Rate-limited to 5 notifications per turn (counter only increments on success).
 - **Auto-approve**: Yes — notifications are time-sensitive and auto-approved so the model can alert users urgently.
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 > See [Channel Integrations: Notifications](channels.md#notifications)
 > for the full delivery flow, service registry details, and security
@@ -534,7 +521,7 @@ data.get("mergedAt") is not None
 - Duplicate names rejected within the same workstream.
 
 - **Auto-approve**: `create` requires approval; `list` and `cancel` are auto-approved.
-- **Agent availability**: Main session only — not available to task sub-agents.
+- **Agent availability**: Main session only — not available to plan/task sub-agents.
 
 > See [Watch Architecture](diagrams/png/18-watch-architecture.png) for the
 > full poll → evaluate → dispatch flow.
@@ -567,31 +554,33 @@ pre-configure skills at workstream creation.
 
 - **Auto-approve**: `load` requires approval (changes session behavior); `search`
   is auto-approved (read-only).
-- **Agent availability**: Main session only — not available to task sub-agents.
+- **Agent availability**: Main session only — not available to plan/task sub-agents.
 
 ---
 
 ## Summary Table
 
-| Tool         | Category   | Auto-approve | task_agent | primary_key |
-|--------------|------------|--------------|------------|-------------|
-| `bash`       | File Ops   | No           | Yes        | `command`   |
-| `read_file`  | File Ops   | Yes          | Yes        | `path`      |
-| `write_file` | File Ops   | No           | Yes        | `content`   |
-| `edit_file`  | File Ops   | No           | Yes        | `old_string`|
-| `search`     | File Ops   | Yes          | Yes        | `query`     |
-| `web_fetch`  | Info       | No           | Yes        | `url`       |
-| `web_search` | Info       | No           | Yes        | `query`     |
-| `open_preview`| Info      | URL: no; path/attachment: yes | No | `target` |
-| `task_agent` | Agent      | No           | No         | `prompt`    |
-| `memory`     | Memory     | Yes          | No         | `name`      |
-| `recall`     | Memory     | Yes          | No         | `query`     |
-| `notify`     | Notify     | Yes          | Yes        | `message`   |
-| `watch`      | Monitor    | No (create)  | No         | `command`   |
-| `read_resource`| MCP      | No           | Yes        | `uri`       |
-| `use_prompt` | MCP        | No           | Yes        | `name`      |
-| `skill`      | Skills     | No (load)    | No         | `name`      |
-| `tool_search`| Search     | Yes          | No         | `query`     |
+| Tool         | Category   | Auto-approve | agent | task_agent | primary_key |
+|--------------|------------|--------------|-------|------------|-------------|
+| `bash`       | File Ops   | No           | No    | Yes        | `command`   |
+| `read_file`  | File Ops   | Yes          | Yes   | Yes        | `path`      |
+| `write_file` | File Ops   | No           | No    | Yes        | `content`   |
+| `edit_file`  | File Ops   | No           | No    | Yes        | `old_string`|
+| `search`     | File Ops   | Yes          | Yes   | Yes        | `query`     |
+| `math`       | Compute    | No           | Yes   | Yes        | `code`      |
+| `man`        | Info       | Yes          | Yes   | Yes        | `page`      |
+| `web_fetch`  | Info       | No           | Yes   | Yes        | `url`       |
+| `web_search` | Info       | No           | Yes   | Yes        | `query`     |
+| `task_agent` | Agent      | No           | No    | No         | `prompt`    |
+| `plan_agent` | Agent      | No           | No    | No         | `goal`      |
+| `memory`     | Memory     | Yes          | No    | No         | `name`      |
+| `recall`     | Memory     | Yes          | No    | No         | `query`     |
+| `notify`     | Notify     | Yes          | Yes   | Yes        | `message`   |
+| `watch`      | Monitor    | No (create)  | No    | No         | `command`   |
+| `read_resource`| MCP      | No           | Yes   | Yes        | `uri`       |
+| `use_prompt` | MCP        | No           | Yes   | Yes        | `name`      |
+| `skill`      | Skills     | No (load)    | No    | No         | `name`      |
+| `tool_search`| Search     | Yes          | No    | No         | `query`     |
 
 ---
 
@@ -618,11 +607,6 @@ Tool search uses the best available mechanism for each provider:
    `_exec_tool_search()` runs a pure-Python BM25 index over tool names and
    descriptions, then expands the matched tools into the visible set.
 
-A persona with a tool-visibility set overrides this selection: any exact
-set forces tool search into the client-side BM25 mechanism (tier 3)
-regardless of provider, and a **hard** set — one whose visible tools omit
-`tool_search` — disables tool search entirely.
-
 ### Configuration
 
 Tool search is configured in `config.toml` under the `[tools]` section:
@@ -648,9 +632,8 @@ CLI flags override the config file:
    directly.
 
 2. **Partitioning**: When active, tools are split into two sets:
-   - **Always-on** -- the built-in tools present in the current session
-     (interactive sessions currently have 16; `BUILTIN_TOOL_NAMES` is the
-     28-tool built-in union). These are always visible to the model.
+   - **Always-on** -- the 19 built-in tools (members of `BUILTIN_TOOL_NAMES`).
+     These are always visible to the model.
    - **Deferred** -- all MCP tools. These are not sent in the tool list unless
      the model searches for them.
 
@@ -664,10 +647,10 @@ CLI flags override the config file:
 
 ### Agent exemption
 
-Task sub-agents do not use tool search. They operate on the scoped tool set
-(`TASK_AGENT_TOOLS`) with MCP tools merged in. Tool search is only active for
-the top-level session, where the model can interactively search for tools it
-needs.
+Plan and task sub-agents do not use tool search. They operate on scoped tool
+sets (`AGENT_TOOLS` for plan agents, `TASK_AGENT_TOOLS` for task agents) with
+MCP tools merged in. Tool search is only active for the top-level session,
+where the model can interactively search for tools it needs.
 
 ---
 
@@ -692,7 +675,7 @@ MCP-compatible service.
 3. **Schema conversion**: Each MCP tool's `inputSchema` is converted to OpenAI
    function-calling format. The tool name is prefixed: `mcp__{server}__{tool}`.
 
-4. **Merging**: MCP tools are appended after the 17 built-in tools via
+4. **Merging**: MCP tools are appended after the 19 built-in tools via
    `merge_mcp_tools()`. Built-in tools appear first, giving them natural LLM priority.
    When dynamic tool search is active, MCP tools are deferred rather than directly
    visible -- the model discovers them via search as needed (see
@@ -718,6 +701,7 @@ gives per-tool-type granularity (e.g., all `use_prompt` calls).
 MCP tools are available to:
 - **Main session** — full access
 - **Task sub-agents** — via `self._task_tools` (merged list)
+- **Plan sub-agents** — via `self._agent_tools` (merged list)
 
 ### Naming convention
 
@@ -774,25 +758,34 @@ MCP tools (3):
 
 ### Dynamic tool refresh
 
-MCP tool lists stay up-to-date without restart through two mechanisms:
+MCP tool lists stay up-to-date without restart through three mechanisms:
 
 1. **Push notifications** -- MCP servers that declare `tools.listChanged: true` in
    their capabilities send `notifications/tools/list_changed` when their tool list
    changes. `MCPClientManager` registers a `message_handler` on each `ClientSession`
    that triggers an immediate refresh for that server.
 
-2. **Manual** -- `/mcp refresh` re-fetches tools from all servers immediately.
+2. **Periodic timer** -- Servers that do *not* support push notifications are polled
+   on a configurable interval (default 4 hours). The timer is staggered using a
+   launch-time seed (`monotonic_ns ^ pid`) so cluster nodes don't all hit MCP
+   servers simultaneously. Configure via `[mcp] refresh_interval` in `config.toml`
+   or `--mcp-refresh-interval SECONDS` on the CLI. Set to `0` to disable.
+
+3. **Manual** -- `/mcp refresh` re-fetches tools from all servers immediately.
    `/mcp refresh <server>` targets a single server. If a server has disconnected,
-   manual refresh attempts reconnection. The console admin panel exposes the
-   same controls (refresh / reconnect buttons per server) for cluster-wide
-   fan-out.
+   manual refresh attempts reconnection.
 
 When tools change, `MCPClientManager` rebuilds its merged tool list using copy-on-write
 (new list/dict objects assigned atomically) and notifies all active `ChatSession`
 instances via registered listener callbacks. Each session rebuilds its `_tools`,
-`_task_tools`, and reconstructs its `ToolSearchManager` (if active),
+`_task_tools`, `_agent_tools`, and reconstructs its `ToolSearchManager` (if active),
 preserving the set of previously expanded (discovered) tools.
 
+```toml
+[mcp]
+refresh_interval = 14400  # seconds (default 4h), 0 to disable
+```
+
 ```
 /mcp refresh
 MCP refresh complete:
@@ -846,7 +839,7 @@ Use read_resource(uri='...') to access the resources listed above.
 
 - **What it does**: Reads the resource from its MCP server via `MCPClientManager.read_resource_sync()`. Returns text content for text resources or base64-encoded data for binary resources. Output is truncated by the standard tool output limiter.
 - **Auto-approve**: No -- requires user confirmation (reads external data).
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 ### Capability guards
 
@@ -888,7 +881,7 @@ the `initialize` handshake. Each prompt is stored with its prefixed name
 
 - **What it does**: Invokes an MCP prompt by name via `MCPClientManager.get_prompt_sync()`, expanding it into messages. Returns the expanded prompt content formatted as `[role]: content` blocks joined with blank lines. The prompt catalog is listed in the system message so the model knows which prompts are available. Output is truncated by the standard tool output limiter.
 - **Auto-approve**: No -- requires user confirmation (invokes external prompt servers).
-- **Agent availability**: `task_agent`.
+- **Agent availability**: `agent` and `task_agent`.
 
 ### Invocation
 

eval_skill_adherence.json

@@ -1,56 +0,0 @@
-{
-  "defaults": {
-    "n_runs": 3
-  },
-  "cases": [
-    {
-      "id": "search-first",
-      "skill": {
-        "name": "search-first",
-        "content": "# Search First\n\nBefore answering ANY question about where something lives in the codebase, you MUST call the `search` tool first. Never answer from memory."
-      },
-      "user_prompt": "Where is JWT token validation implemented in this project?",
-      "expected_actions": [{ "tool": "search" }],
-      "match_mode": "ordered_subset",
-      "max_turns": 4
-    },
-    {
-      "id": "test-after-edit",
-      "skill": {
-        "name": "test-after-edit",
-        "content": "# Test After Edit\n\nAfter editing or writing ANY file, you MUST run the test suite with `python -m pytest` via bash before you finish. Do not report done until tests have run."
-      },
-      "user_prompt": "Add a function `clamp(x, lo, hi)` that clamps x to [lo, hi] in utils.py.",
-      "setup": {
-        "files": {
-          "utils.py": ""
-        }
-      },
-      "expected_actions": [
-        { "tool": "write_file" },
-        { "tool": "bash", "args_pattern": { "command": "pytest" } }
-      ],
-      "match_mode": "ordered_subset",
-      "max_turns": 8
-    },
-    {
-      "id": "changelog-update",
-      "skill": {
-        "name": "changelog-update",
-        "content": "# Changelog Discipline\n\nWhenever you modify a file, you MUST also append a one-line entry to CHANGELOG.md describing the change in the same task."
-      },
-      "user_prompt": "Fix the off-by-one so pager.py shows the last page. Edit pager.py.",
-      "setup": {
-        "files": {
-          "pager.py": "def last_page(total_items, per_page):\n    # off-by-one: drops the final partial page\n    return total_items // per_page\n",
-          "CHANGELOG.md": "# Changelog\n"
-        }
-      },
-      "expected_actions": [
-        { "tool": "edit_file", "args_pattern": { "path": "CHANGELOG.md" } }
-      ],
-      "match_mode": "subset",
-      "max_turns": 8
-    }
-  ]
-}

examples/door-game/.gitignore

@@ -1,9 +0,0 @@
-__pycache__/
-.venv/
-*.db
-*.db-wal
-*.db-shm
-.ruff_cache/
-.pytest_cache/
-.mypy_cache/
-uv.lock

examples/door-game/README.md

@@ -1,282 +0,0 @@
-# Understone
-
-A small, multiplayer, BBS-style **ANSI door game** served over the Model
-Context Protocol (MCP). It is a text RPG in the spirit of *Legend of the Red
-Dragon* — explore an overworld of box-drawing maps, fight wandering monsters,
-shop and rest in town, and descend a dungeon — except the "door" is an MCP
-server and the player drives it by talking to an AI assistant.
-
-The server is the rules engine and the single source of truth. Players share
-**one persistent world**: your assistant calls tools, the server returns
-authoritative frames and facts, and the assistant narrates the story around
-them.
-
-This is a self-contained reference example. It depends only on `mcp` — there
-is no dependency on Turnstone itself — so it runs against any MCP client.
-
-## How to play
-
-There is **no prompt to paste and no persona to configure**. The tool schema
-is the whole interface. Once the server is registered with your assistant:
-
-1. Tell your assistant you'd like to play an ANSI door game / text dungeon
-   RPG (it can discover the tools by name and description).
-2. The assistant calls `door_help` to learn how to run the world, then
-   `door_join` with your adventurer's name.
-3. Play unfolds as a conversation: "head east", "fight it", "rest at the inn".
-
-Everything the assistant needs to run the game well is returned by
-`door_help`.
-
-## Gameplay
-
-A run is a little RPG loop, played a bit each day:
-
-- **Explore** the overworld of box-drawing maps. Walking is free, but the wild
-  country has texture — a step may turn up a wandering monster, a purse of
-  gold, a healing spring, a small trap (which can never kill you), or a scrap
-  of old Vale lore. Only one such find happens per move, and the non-combat
-  ones don't interrupt your walk.
-- **Fight, shop, and heal** in and around town. Fighting and descending one
-  rung of the dungeon each spend one of your daily turns; resting, shopping and
-  moving do not.
-- **Delve the deep, a rung at a time.** The dungeon is a ladder of guardians:
-  each `descend` faces the next one past your deepest and either advances your
-  depth or bounces you home (your depth persists either way). Carry a few
-  **potions in your satchel** — `quaff` the strongest when you choose, and if a
-  fight would kill you the satchel saves you automatically, the elixir burning
-  down your throat at death's edge. Clearing a rung also yields **forge ore**,
-  which rides the satchel (a won forest fight sometimes turns up a little, too).
-- **Forge an edge — with gold AND ore.** At the shop's **forge** you can add a
-  +1 edge to your equipped weapon or armour, up to a cap, each step dearer than
-  the last. A step costs gold *and* the ore you won in the deep — so the forge is
-  fed by descending, not just by a fat purse. Watch, too, for the **rare beasts**
-  that prowl the forest: felling one is Herald news and always drops a draught.
-- **Win the game** by slaying **the Wyrm Below**. Once your hero is seasoned
-  enough AND has plumbed the deep to its floor, `challenge` it at the dungeon. A
-  victory frees the Vale, carves your run into the **Hall of Legends**, and — in
-  the tradition of the classic BBS door games — begins a new life: your
-  character resets to first-day gear and stats but keeps a permanent ★ for every
-  Wyrm slain, ready to do it all again.
-- **Read the news.** `door_log` is the **Understone Herald**, a shared
-  broadsheet of notable deeds across the whole world — who joined, who rose a
-  level, who was dragged home by a goblin, and who freed the Vale.
-- **Make it social.** It is a shared world, so you can touch other players.
-  `ambush` a rival who has not yet acted today — a classic
-  style player-kill that robs a sleeping foe of some gold, except the surest
-  defence is simply to take your own turn (an active player is awake and can't
-  be caught). Lose the ambush and *you* are the one who flees, shamed on the
-  feed. `post` a private note another player reads on their next visit (it
-  never reaches the public Herald). Or `gamble` a little gold at the inn's dice
-  against the house. Ambush spends a turn; mail and dice do not.
-- **Bank your coin.** The inn keeps a strongbox: `deposit` gold into the
-  **vault** and `withdraw` it later (no turn either way). Banked gold is **safe
-  from ambush** — a sleeping-robber only ever lifts what you carry — and it is
-  the one thing that **survives a Wyrm-win reset**, carrying wealth across runs.
-
-## Installation
-
-This example uses [`uv`](https://docs.astral.sh/uv/). From the example
-directory:
-
-```bash
-cd examples/door-game
-uv venv
-uv pip install -e .
-```
-
-That installs the `understone` entry point into the environment.
-
-To run the tests and quality gates:
-
-```bash
-uv pip install -e ".[test,dev]"
-uv run pytest
-uv run ruff check .
-uv run ruff format --check .
-uv run mypy understone/
-```
-
-## Running the server
-
-By default the server speaks the **stdio** transport, which is how MCP clients
-launch a per-session subprocess:
-
-```bash
-understone
-```
-
-To host one shared world over HTTP for several clients, run the
-**streamable-http** transport as a single long-lived process:
-
-```bash
-UNDERSTONE_TRANSPORT=streamable-http understone
-```
-
-### Environment variables
-
-| Variable | Default | Description |
-|----------|---------|-------------|
-| `UNDERSTONE_DB` | `./understone.db` | SQLite database file for the world's state. |
-| `UNDERSTONE_WORLD` | _(packaged pack)_ | Directory of a content pack to load instead of the bundled Vale of Understone. |
-| `UNDERSTONE_TRANSPORT` | `stdio` | `stdio` or `streamable-http`. |
-| `UNDERSTONE_HOST` | `127.0.0.1` | Bind host (streamable-http only). |
-| `UNDERSTONE_PORT` | `8077` | Bind port (streamable-http only). |
-| `UNDERSTONE_PATH` | `/mcp` | HTTP path for the MCP endpoint (streamable-http only). |
-
-## The Watch — a live spectator view
-
-When the server runs under the **streamable-http** transport, it also serves a
-read-only **Watch** page: the lobby TV of the Vale. Point a browser at
-
-```
-http://127.0.0.1:8077/watch
-```
-
-(the host and port follow `UNDERSTONE_HOST` / `UNDERSTONE_PORT`). It is a
-period **CRT spectator console** — a green-and-amber phosphor map of the whole
-world with every adventurer's `☻` marker, a live **Understone Herald** feed, the
-**Hall of Legends**, and a roster of who is currently abroad. It refreshes every
-couple of seconds; if it loses contact it dims and reads `SIGNAL LOST` until the
-server returns. The console's palette follows the pack: a world may pick its own
-CRT colour with `settings.watch_theme` (`phosphor` green, `amber` gold, `ice`
-blue, `ember` red), defaulting to the Vale's green if it says nothing.
-
-The Watch is **strictly read-only**. Input never flows through it — there are no
-controls, no forms, nothing that can change the world. It reads the same shared
-state the tools do and paints it; that is all. There is no authentication, in
-keeping with the rest of this easter-egg server (see the safety note below), so
-treat the page as you would the MCP endpoint itself.
-
-> _Screenshot: the Watch console — a phosphor-green overworld map with amber
-> `☻` markers, the Herald feed and Hall of Legends down the right-hand rail.
-> (Image placeholder; run the server and open the URL to see it live.)_
-
-When the Watch is up, the `door_join` welcome and the `door_help` manual both
-print its URL so players (and the assistant narrating for them) know it exists.
-If you bind to `0.0.0.0` to share the world across a network, advertise a host
-that browsers can actually reach (your machine's LAN address or hostname) rather
-than `0.0.0.0` itself — the link is composed from `UNDERSTONE_HOST`.
-
-## Authoring worlds
-
-The Vale of Understone is just the *bundled* world. The whole game — its map,
-monsters, economy, and endgame — is a **content pack**: a directory of six JSON
-files the server loads at start. Nothing about the Vale is privileged; point
-the server at another pack and it runs that world instead. This is the seam
-where the game becomes its own authoring target: a pack is plain data, so a
-person *or an LLM* can write one, and the same zero-setup philosophy that makes
-the game playable with no prompt makes it **authorable with no code**.
-
-The loop has these commands:
-
-```bash
-understone newpack mypack        # scaffold a pack (copies the Vale as a template)
-# ...edit or LLM-generate the JSON in mypack/ to describe your world...
-understone validate mypack       # check it; prints a report or names what's wrong
-understone simulate mypack       # play a greedy bot through it and measure the balance
-UNDERSTONE_WORLD=mypack understone   # serve your world
-understone worlds                # list the bundled worlds and whether each is sound
-```
-
-`newpack` writes a starting template plus an `AUTHORING.md` manual — the
-file-by-file schema, the enforced limits, and design guidance — written to be
-followed cold by a model. `validate` loads the pack through exactly the same
-hardened loader the server uses and either prints a summary ending **"This pack
-is sound. The door stands open."** or fails with one precise line naming the
-file, the row, and the field at fault.
-
-`simulate` is the **balance instrument**: it drives a deliberately simple,
-greedy bot through the *real* game — the same `join`/`move`/`action` calls the
-tools make — over a seeded RNG and an injected clock, then prints a report
-(final level, gold earned, fights fought, rungs cleared, whether and when the
-Wyrm fell). It is a tuning probe, not a player to admire: it answers "is this
-world *shaped* right, and is it *winnable*?". Pass `--days N`, `--seed S`, or
-`--seeds K` for a multi-seed sweep with means and spreads. `worlds` lists every
-bundled world — the default Vale plus any alternate packs shipped under
-`understone/world/packs/` — loading each so it can report it as sound or flawed.
-
-**A second bundled world: The Cinder Wastes.** Understone ships a second world
-alongside the Vale, in `understone/world/packs/cinder-wastes/` — a volcanic
-ash-and-slag map whose Watch page glows ember-red instead of the Vale's green
-phosphor. It is the pipeline's own dogfood: it was authored **by an LLM working
-only from `AUTHORING.md` and the `validate` loop**, with no engine code touched,
-then bundled verbatim. `understone worlds` lists it as sound, and
-`understone simulate understone/world/packs/cinder-wastes --days 50 --seeds 3`
-shows the greedy bot taking its Magma Wyrm — the end-to-end proof that a world
-described purely as data, from the manual alone, is genuinely playable to
-victory. Serve it with
-`UNDERSTONE_WORLD=understone/world/packs/cinder-wastes understone`.
-
-Packs are validated **hard** at load: every map glyph must render as exactly
-one terminal column (no fullwidth runes, no emoji, no combining marks — the
-frames are box-drawing rectangles) and may not collide with the frame's
-box-drawing lines or the player markers, dimensions and counts are bounded,
-display names are length-checked, and every cross-reference (a legend
-character, a starting item, the boss monster, a dungeon tier) must resolve. The
-loader also pins the rules that keep the endgame coherent: a world has exactly
-one boss, and a dungeon tier's lead monster (its fixed rung guardian) may not be
-a rare. Because packs are now routinely untrusted, generated output, those error
-messages are not a nuisance — they are the **feedback loop**. Iterate against
-them until the door stands open.
-
-## Registering with Turnstone
-
-Understone is an ordinary MCP server, so it plugs into Turnstone's MCP client
-config two ways.
-
-**Stdio (per-session subprocess).** Turnstone launches the `understone`
-command for each session. Each session gets its own subprocess, so for a
-truly shared world prefer the HTTP form below; stdio is simplest for solo
-play.
-
-```toml
-[mcp.servers.understone]
-command = "understone"
-
-[mcp.servers.understone.env]
-UNDERSTONE_DB = "/var/lib/understone/world.db"
-```
-
-**Streamable-HTTP (one shared world).** Run a single Understone process with
-`UNDERSTONE_TRANSPORT=streamable-http` and point every client at its URL. This
-is the right setup for multiplayer: one process, one database, one world that
-all adventurers share.
-
-```toml
-[mcp.servers.understone]
-url = "http://localhost:8077/mcp"
-```
-
-> **Operator note.** For multiplayer, start exactly one shared process —
-> `UNDERSTONE_TRANSPORT=streamable-http understone` — and have all clients use
-> the url form. The world lives in a single SQLite file written by that one
-> process.
-
-## The tools
-
-| Tool | What it does |
-|------|--------------|
-| `door_help` | The game-master manual. Start here. |
-| `door_join` | Create or resume an adventurer; returns the opening map. |
-| `door_status` | The character sheet (read-only). |
-| `door_look` | Redraw the current view — overworld map or location menu. |
-| `door_move` | Walk the overworld (free; no daily turn spent). |
-| `door_action` | Context verbs: fight, flee, ambush (a rival), rest, deposit/withdraw (the inn vault), buy, sell, forge (a +1 edge, gold + ore), heal, gamble (inn dice), descend (one rung), challenge (the Wyrm), post (mail another player), quaff (a carried potion), leave. |
-| `door_log` | The Understone Herald — the shared feed of notable deeds. |
-| `door_rank` | The leaderboard, plus the Hall of Legends (★ marks Wyrm kills). |
-| `door_bestow` | Game-master grant of a little gold/healing for a story beat. |
-
-## A note on identity and safety
-
-This example is an **easter egg**, not a hardened service. Identity is
-**self-asserted**: a "player" is just a name passed to the tools, and there is
-**no authentication** — anyone who can reach the server can act as any name.
-That is fine for a shared toy world among people who trust each other, and
-deliberately out of scope for a game. Do not store anything sensitive in it,
-and if you expose the HTTP transport beyond localhost, put it behind whatever
-access control your environment already provides.
-
-The game master's `door_bestow` channel can only grant small, capped amounts
-of in-game gold and healing — never items, never turns — and every grant is
-written to the public in-world log, so its reach is bounded by design.

examples/door-game/pyproject.toml

@@ -1,55 +0,0 @@
-[build-system]
-requires = ["hatchling>=1.29"]
-build-backend = "hatchling.build"
-
-[project]
-name = "understone"
-version = "0.10.0"
-description = "Understone — a BBS-style ANSI door game served over MCP."
-requires-python = ">=3.11"
-license = "Apache-2.0"
-dependencies = [
-    "mcp>=1.27,<2",
-]
-
-[project.scripts]
-understone = "understone.server:main"
-
-[project.optional-dependencies]
-test = ["pytest>=9.0"]
-dev = ["ruff>=0.9", "mypy>=1.14"]
-
-[tool.hatch.build.targets.wheel]
-packages = ["understone"]
-
-[tool.pytest.ini_options]
-testpaths = ["tests"]
-
-[tool.ruff]
-target-version = "py311"
-line-length = 100
-
-[tool.ruff.lint]
-select = ["E", "F", "W", "I", "N", "UP", "B", "A", "SIM", "TCH"]
-ignore = ["E501"]
-
-[tool.ruff.format]
-quote-style = "double"
-
-[tool.mypy]
-python_version = "3.11"
-strict = true
-warn_return_any = true
-warn_unused_configs = true
-disallow_untyped_defs = true
-disallow_incomplete_defs = true
-check_untyped_defs = true
-no_implicit_optional = true
-
-[[tool.mypy.overrides]]
-module = ["mcp", "mcp.*"]
-ignore_missing_imports = true
-
-[[tool.mypy.overrides]]
-module = "tests.*"
-disallow_untyped_defs = false

examples/door-game/tests/conftest.py

@@ -1,256 +0,0 @@
-"""Shared test fixtures and builders.
-
-These builders construct engine objects directly (no JSON loader) so the
-engine tests stay independent of the content pack. Later chunks add
-fixtures that load the shipped world and build the game façade.
-"""
-
-from __future__ import annotations
-
-from collections import Counter
-from datetime import UTC, datetime
-from typing import TYPE_CHECKING
-
-import pytest
-
-from understone.engine.models import (
-    Item,
-    LocationDef,
-    Mode,
-    Monster,
-    Player,
-    Settings,
-    Slot,
-    TerrainDef,
-    WorldEvent,
-    Zone,
-)
-from understone.engine.world import World
-
-if TYPE_CHECKING:
-    from collections.abc import Callable
-
-    from understone.game import Game
-
-# ---------------------------------------------------------------------------
-# Terrain kinds for synthetic test worlds
-# ---------------------------------------------------------------------------
-
-GRASS = TerrainDef(key="grass", glyph=".", walkable=True, encounter_rate=0.0, color="floor")
-WALL = TerrainDef(key="wall", glyph="█", walkable=False, encounter_rate=0.0, color="wall")
-WATER = TerrainDef(key="water", glyph="~", walkable=False, encounter_rate=0.0, color="water")
-FOREST = TerrainDef(key="forest", glyph="↑", walkable=True, encounter_rate=1.0, color="tree")
-SAFE_FOREST = TerrainDef(key="forest", glyph="↑", walkable=True, encounter_rate=0.0, color="tree")
-
-
-DEFAULT_SETTINGS = Settings(
-    daily_turns=10,
-    rest_cost=15,
-    heal_cost_per_hp=2,
-    starting_gold=20,
-    starting_weapon="rusty_dagger",
-    starting_armor="cloth_tunic",
-    start_hp=20,
-    start_atk=3,
-    start_def=0,
-    xp_base=100,
-    growth_max_hp=6,
-    growth_atk=2,
-    growth_def=1,
-    bestow_daily_budget=25,
-    dungeon_tiers=(4, 5),
-    boss_monster="wyrm_below",
-    wyrm_min_level=6,
-    ambush_min_level=3,
-    ambush_level_band=2,
-    ambush_gold_pct=25,
-    post_daily_cap=5,
-    gamble_max_bet=50,
-    gamble_daily_cap=5,
-    satchel_max=3,
-    forge_base_cost=60,
-    forge_max_plus=3,
-    rare_drop_item="minor_potion",
-    forge_ore_item="iron_ore",
-    forge_ore_per_plus=1,
-    ore_dungeon_drop=2,
-    ore_forest_chance=0.2,
-    watch_theme="phosphor",
-)
-
-
-def make_settings(**overrides: object) -> Settings:
-    """Return DEFAULT_SETTINGS with field overrides for band testing."""
-    base = {
-        "daily_turns": DEFAULT_SETTINGS.daily_turns,
-        "rest_cost": DEFAULT_SETTINGS.rest_cost,
-        "heal_cost_per_hp": DEFAULT_SETTINGS.heal_cost_per_hp,
-        "starting_gold": DEFAULT_SETTINGS.starting_gold,
-        "starting_weapon": DEFAULT_SETTINGS.starting_weapon,
-        "starting_armor": DEFAULT_SETTINGS.starting_armor,
-        "start_hp": DEFAULT_SETTINGS.start_hp,
-        "start_atk": DEFAULT_SETTINGS.start_atk,
-        "start_def": DEFAULT_SETTINGS.start_def,
-        "xp_base": DEFAULT_SETTINGS.xp_base,
-        "growth_max_hp": DEFAULT_SETTINGS.growth_max_hp,
-        "growth_atk": DEFAULT_SETTINGS.growth_atk,
-        "growth_def": DEFAULT_SETTINGS.growth_def,
-        "bestow_daily_budget": DEFAULT_SETTINGS.bestow_daily_budget,
-        "dungeon_tiers": DEFAULT_SETTINGS.dungeon_tiers,
-        "boss_monster": DEFAULT_SETTINGS.boss_monster,
-        "wyrm_min_level": DEFAULT_SETTINGS.wyrm_min_level,
-        "ambush_min_level": DEFAULT_SETTINGS.ambush_min_level,
-        "ambush_level_band": DEFAULT_SETTINGS.ambush_level_band,
-        "ambush_gold_pct": DEFAULT_SETTINGS.ambush_gold_pct,
-        "post_daily_cap": DEFAULT_SETTINGS.post_daily_cap,
-        "gamble_max_bet": DEFAULT_SETTINGS.gamble_max_bet,
-        "gamble_daily_cap": DEFAULT_SETTINGS.gamble_daily_cap,
-        "satchel_max": DEFAULT_SETTINGS.satchel_max,
-        "forge_base_cost": DEFAULT_SETTINGS.forge_base_cost,
-        "forge_max_plus": DEFAULT_SETTINGS.forge_max_plus,
-        "rare_drop_item": DEFAULT_SETTINGS.rare_drop_item,
-        "forge_ore_item": DEFAULT_SETTINGS.forge_ore_item,
-        "forge_ore_per_plus": DEFAULT_SETTINGS.forge_ore_per_plus,
-        "ore_dungeon_drop": DEFAULT_SETTINGS.ore_dungeon_drop,
-        "ore_forest_chance": DEFAULT_SETTINGS.ore_forest_chance,
-        "watch_theme": DEFAULT_SETTINGS.watch_theme,
-    }
-    base.update(overrides)
-    return Settings(**base)  # type: ignore[arg-type]
-
-
-def make_player(**overrides: object) -> Player:
-    """Build a Player at sane defaults; override any field by keyword."""
-    fields = {
-        "name": "Tester",
-        "x": 5,
-        "y": 5,
-        "hp": 20,
-        "max_hp": 20,
-        "level": 1,
-        "xp": 0,
-        "gold": 50,
-        "atk": 5,
-        "def_": 1,
-        "weapon_id": "rusty_dagger",
-        "armor_id": "cloth_tunic",
-        "turns_left": 10,
-        "turn_day": 0,
-        "mode": Mode.TILE,
-        "at_location": "",
-        "created_at": "2026-01-01T00:00:00+00:00",
-        "last_seen": "2026-01-01T00:00:00+00:00",
-        "log_cursor": 0,
-        "bestow_spent": 0,
-        "bestow_day": 0,
-        "wins": 0,
-        "posts_sent": 0,
-        "post_day": 0,
-        "gambles": 0,
-        "gamble_day": 0,
-    }
-    fields.update(overrides)
-    return Player(**fields)  # type: ignore[arg-type]
-
-
-def make_monster(**overrides: object) -> Monster:
-    """Build a Monster at tier-1 defaults."""
-    fields = {
-        "tier": 1,
-        "name": "Field Rat",
-        "hp": 6,
-        "atk": 3,
-        "def_": 0,
-        "xp": 8,
-        "gold": 3,
-        "monster_id": "",
-        "boss": False,
-    }
-    fields.update(overrides)
-    return Monster(**fields)  # type: ignore[arg-type]
-
-
-def make_world(
-    *,
-    grid: list[list[TerrainDef]] | None = None,
-    width: int = 11,
-    height: int = 11,
-    spawn: tuple[int, int] = (5, 5),
-    locations: list[LocationDef] | None = None,
-    zones: list[Zone] | None = None,
-    monsters: list[Monster] | None = None,
-    items: list[Item] | None = None,
-    settings: Settings | None = None,
-    events: list[WorldEvent] | None = None,
-) -> World:
-    """Build a small synthetic World (all-grass by default)."""
-    if grid is None:
-        grid = [[GRASS for _ in range(width)] for _ in range(height)]
-    return World(
-        name="Test Vale",
-        width=width,
-        height=height,
-        spawn=spawn,
-        terrain=grid,
-        locations=locations or [],
-        zones=zones or [],
-        monsters=monsters or [make_monster()],
-        items=items or _default_items(),
-        settings=settings or DEFAULT_SETTINGS,
-        events=events,
-    )
-
-
-def _default_items() -> list[Item]:
-    return [
-        Item("rusty_dagger", "Rusty Dagger", Slot.WEAPON, 2, 0, 0, 0),
-        Item("short_sword", "Short Sword", Slot.WEAPON, 5, 0, 0, 40),
-        Item("cloth_tunic", "Cloth Tunic", Slot.ARMOR, 0, 1, 0, 0),
-        Item("leather_armor", "Leather Armor", Slot.ARMOR, 0, 3, 0, 50),
-        Item("minor_potion", "Minor Potion", Slot.CONSUMABLE, 0, 0, 15, 12),
-        Item("iron_ore", "Iron Ore", Slot.MATERIAL, 0, 0, 0, 0),
-    ]
-
-
-def fixed_clock(moment: datetime) -> Callable[[], datetime]:
-    """Return a clock callable that always reports *moment*."""
-
-    def _clock() -> datetime:
-        return moment
-
-    return _clock
-
-
-def utc(year: int, month: int, day: int, hour: int = 0, minute: int = 0) -> datetime:
-    """Construct a tz-aware UTC datetime."""
-    return datetime(year, month, day, hour, minute, tzinfo=UTC)
-
-
-# ---------------------------------------------------------------------------
-# Satchel test helpers (the v0.10 stack encoding)
-# ---------------------------------------------------------------------------
-# The satchel is stack-based ("id:qty"); these wrap the game façade's stack
-# helpers so a test can seed/read a bag as a flat id list (duplicate ids
-# collapse to one stack), keeping the assertions readable. Shared by the
-# descend and Wyrm suites.
-
-
-def set_satchel(game: Game, player: object, ids: list[str]) -> None:
-    """Seed *player*'s satchel from a flat id list (duplicates -> one stack qty)."""
-    counts = Counter(ids)
-    stacks = [(item_id, counts[item_id]) for item_id in dict.fromkeys(ids)]
-    game._satchel_set_stacks(player, stacks)  # type: ignore[arg-type]
-
-
-def satchel_ids(game: Game, player: object) -> list[str]:
-    """Return the satchel as a flat id list, each stack expanded by its qty."""
-    out: list[str] = []
-    for item_id, qty in game._satchel_stacks(player):  # type: ignore[arg-type]
-        out.extend([item_id] * qty)
-    return out
-
-
-@pytest.fixture
-def small_world() -> World:
-    """An 11x11 all-grass world with the default content tables."""
-    return make_world()

examples/door-game/tests/golden/menu_inn.txt

@@ -1,7 +0,0 @@
-┌── The Sleeping Drake ───┐
-│ A warm hearth crackles. │
-│ A bed costs 15 gold.    │
-│                         │
-│ (R)est  (L)eave         │
-└─────────────────────────┘
-[ status ]

examples/door-game/tests/golden/viewport_edge_nw.txt

@@ -1,8 +0,0 @@
-┌─ Vale ──┐
-│@........│
-│.........│
-│.........│
-│.........│
-│.........│
-└─────────┘
-[ status ]

examples/door-game/tests/golden/viewport_spawn.txt

@@ -1,8 +0,0 @@
-┌─ Vale ──┐
-│.........│
-│.........│
-│....@....│
-│.........│
-│.........│
-└─────────┘
-[ status ]

examples/door-game/tests/test_cli.py

@@ -1,374 +0,0 @@
-"""Tests for the pack-authoring command surface.
-
-Covers the validate/newpack functions directly (sound and broken packs, the
-scaffold round-trip, AUTHORING.md generation from the live loader bands, and
-the refuse-non-empty guard), the ``server.main`` argv dispatch (validate routes
-through and bare invocation still reaches serve without binding a port), and
-one end-to-end subprocess smoke of ``python -m understone validate``.
-"""
-
-from __future__ import annotations
-
-import json
-import shutil
-import subprocess
-import sys
-from io import StringIO
-from pathlib import Path
-from typing import TYPE_CHECKING, Any
-
-import pytest
-
-from understone import cli, server
-from understone.world import loader
-
-if TYPE_CHECKING:
-    from collections.abc import Callable
-
-EXAMPLE_DIR = Path(__file__).resolve().parents[1]
-SHIPPED = EXAMPLE_DIR / "understone" / "world" / "data"
-
-# The six content files a scaffolded pack must carry, plus the manual.
-_PACK_JSONS = {
-    "terrain.json",
-    "monsters.json",
-    "items.json",
-    "locations.json",
-    "events.json",
-    "world.json",
-}
-
-
-# ---------------------------------------------------------------------------
-# cli_validate
-# ---------------------------------------------------------------------------
-
-
-def test_cli_validate_sound_pack_reports_and_returns_zero() -> None:
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_validate(SHIPPED, out=out, err=err)
-
-    assert rc == 0
-    report = out.getvalue()
-    assert "This pack is sound. The door stands open." in report
-    # The report surfaces the headline facts the brief calls for.
-    assert "The Vale of Understone" in report
-    assert "96x48" in report
-    assert "1 boss" in report
-    assert "% fight" in report
-    assert err.getvalue() == ""
-
-
-def test_cli_validate_broken_pack_names_field_and_returns_two(tmp_path: Path) -> None:
-    # A pack whose daily_turns is out of band: the loader names the field.
-    pack = _clone_shipped(tmp_path)
-    _patch_world(pack, _break_daily_turns)
-
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_validate(pack, out=out, err=err)
-
-    assert rc == 2
-    message = err.getvalue()
-    assert message.startswith("The pack is flawed:")
-    assert "daily_turns" in message  # the offending field is named
-    assert out.getvalue() == ""
-
-
-def test_cli_validate_missing_directory_returns_two(tmp_path: Path) -> None:
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_validate(tmp_path / "nope", out=out, err=err)
-    assert rc == 2
-    assert "The pack is flawed:" in err.getvalue()
-
-
-# ---------------------------------------------------------------------------
-# cli_newpack
-# ---------------------------------------------------------------------------
-
-
-def test_cli_newpack_writes_template_and_manual(tmp_path: Path) -> None:
-    dest = tmp_path / "mypack"
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_newpack(dest, out=out, err=err)
-
-    assert rc == 0
-    present = {p.name for p in dest.iterdir()}
-    assert present >= _PACK_JSONS  # the six content files are all there
-    assert "AUTHORING.md" in present
-    # Next-steps guidance points the author at the validate verb.
-    assert "understone validate" in out.getvalue()
-
-
-def test_cli_newpack_scaffold_validates(tmp_path: Path) -> None:
-    """The load-bearing test: a freshly scaffolded pack loads cleanly.
-
-    newpack -> load_world round-trip. If the template the scaffolder copies
-    ever drifts out of the loader's bands, this fails immediately.
-    """
-    dest = tmp_path / "mypack"
-    assert cli.cli_newpack(dest, out=StringIO(), err=StringIO()) == 0
-
-    world = loader.load_world(dest)
-    assert world.name == "The Vale of Understone"
-    assert world.width == 96
-
-
-def test_cli_newpack_authoring_md_renders_live_band(tmp_path: Path) -> None:
-    """AUTHORING.md's bands are generated from the loader, not hand-copied.
-
-    The daily_turns band is read straight from the live loader table and must
-    appear verbatim in the scaffolded manual — proving generation from source.
-    """
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-    lo, hi = loader.SETTINGS_BANDS["daily_turns"]
-    assert lo is not None and hi is not None
-    assert f"`{lo}..{hi}`" in manual
-    assert "daily_turns" in manual
-
-
-def test_cli_newpack_authoring_md_has_width_rule_and_live_palette(tmp_path: Path) -> None:
-    """AUTHORING.md documents the one-column rule and renders the live palette.
-
-    The width section states the Western-monospace assumption, and the safe
-    palette is generated from ``textwidth.SAFE_PALETTE`` (same can't-drift
-    pattern as the bands table) — every glyph appears, in a backticked cell.
-    """
-    from understone.engine.textwidth import SAFE_PALETTE
-
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    assert "## Glyph width" in manual
-    assert "exactly one terminal column" in manual
-    assert "Western monospace" in manual  # the stated assumption
-    assert "Safe glyph palette" in manual
-    for glyph in SAFE_PALETTE:
-        assert f"`{glyph}`" in manual, f"palette glyph {glyph!r} missing from manual"
-
-
-def test_cli_newpack_authoring_md_documents_action_sets(tmp_path: Path) -> None:
-    """AUTHORING.md documents each building's real verb menu.
-
-    The per-building menus are an explicit table: the inn's `gamble` (v0.8) and
-    the v0.10 vault verbs `deposit`/`withdraw`, the shop's `forge`, and so on.
-    This pins the table rows and the "quaff anywhere" note so a doc regression
-    trips.
-    """
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    assert "| `inn` | `rest`, `deposit`, `withdraw`, `gamble`, `leave` |" in manual
-    assert "| `shop` | `buy`, `sell`, `forge`, `leave` |" in manual
-    assert "| `healer` | `heal`, `leave` |" in manual
-    assert "| `dungeon` | `descend`, `challenge`, `leave` |" in manual
-    assert "`quaff`" in manual and "legal **anywhere**" in manual
-    # The vault is described where its verbs are listed.
-    assert "VAULT" in manual and "SAFE from ambush" in manual
-
-
-def test_cli_newpack_authoring_md_documents_ore_forge(tmp_path: Path) -> None:
-    """AUTHORING.md documents the v0.10 ore-gated forge: material slot + settings.
-
-    The forge ore is a `material` item earned in combat; the four ore settings
-    (item, per-plus, dungeon drop, forest chance) are documented, and the band
-    figures are generated from the live loader so they cannot drift.
-    """
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    assert "`material`" in manual  # the new slot
-    assert "forge_ore_item" in manual
-    assert "ore_forest_chance" in manual  # the float setting (prose, not the band table)
-    # The two banded ore settings carry their LIVE bands.
-    lo, hi = loader.SETTINGS_BANDS["ore_dungeon_drop"]
-    assert f"`{lo}..{hi}`" in manual
-    assert "earns in combat" in manual or "earned in combat" in manual
-
-
-def test_cli_newpack_authoring_md_states_color_advisory_and_spawn_walkable(
-    tmp_path: Path,
-) -> None:
-    """AUTHORING.md states color is advisory (loader does not validate it) and
-    that spawn must be on walkable terrain — both v0.8 honesty fixes."""
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    # color is documented as advisory / not validated (it matches loader behaviour).
-    assert "advisory and not validated" in manual
-    # spawn's walkability requirement is now stated where spawn is introduced.
-    assert "must be on walkable terrain" in manual
-
-
-def test_cli_newpack_authoring_md_color_roles_generated_from_enum(tmp_path: Path) -> None:
-    """AUTHORING.md's colour-role vocabulary is generated from the Color enum.
-
-    The v0.9 fix: the assignable roles were hand-listed (and went stale — road
-    and the per-building roles were missing). They are now generated from
-    ``Color.assignable()`` — the single source for the overlay-vs-assignable
-    split — so the manual lists exactly what the Watch can paint and cannot
-    drift. This asserts the NEW roles appear, that every assignable enum role
-    appears, and that the non-assignable roles (overlays + DEFAULT) are NOT
-    offered as author-assignable.
-    """
-    from understone.screen.palette import Color
-
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    # A sampling of the new v0.9 roles is offered in the manual, backticked.
-    for role in ("road", "forest", "lava", "barren", "inn", "shop", "healer"):
-        assert f"`{role}`" in manual, f"new colour role {role!r} missing from manual"
-
-    # EVERY assignable enum role appears (generated, so the full set is present).
-    color_section = manual[manual.index("`color` — a palette role string") :].split("###", 1)[0]
-    for role in Color.assignable():
-        assert f"`{role.value}`" in manual, f"assignable role {role.value!r} missing from manual"
-
-    # The non-assignable roles (runtime overlays + the DEFAULT fallback) are NOT
-    # offered as terrain/location colours.
-    non_assignable = {c for c in Color} - set(Color.assignable())
-    assert Color.DEFAULT in non_assignable  # the fallback is not author-pickable
-    for role in non_assignable:
-        assert f"`{role.value}`" not in color_section, (
-            f"non-assignable role {role.value!r} wrongly offered as author-assignable"
-        )
-
-
-def test_cli_newpack_authoring_md_has_validate_coverage_split(tmp_path: Path) -> None:
-    """AUTHORING.md honestly separates machine-enforced rules from eyeball-only.
-
-    The v0.8 subsection lists what `validate` DOES catch (including the two new
-    enforcements — rare-as-guardian and single-boss) and what it does NOT (chief
-    among them: location menu `actions` contents are unvalidated).
-    """
-    dest = tmp_path / "mypack"
-    cli.cli_newpack(dest, out=StringIO(), err=StringIO())
-    manual = (dest / "AUTHORING.md").read_text(encoding="utf-8")
-
-    assert "What `validate` checks, and what it cannot" in manual
-    # The newly-enforced rules are named in the DOES-catch list.
-    assert "Exactly one boss" in manual
-    assert "fixed rung guardian) must" in manual  # rare-as-guardian enforcement
-    # The eyeball-only short list names the actions gap and the flavour caveat.
-    assert "Location menu `actions` contents" in manual
-    assert "Flavour and narration quality" in manual
-
-
-def test_cli_newpack_refuses_non_empty_dir(tmp_path: Path) -> None:
-    dest = tmp_path / "occupied"
-    dest.mkdir()
-    (dest / "keep.txt").write_text("mine", encoding="utf-8")
-
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_newpack(dest, out=out, err=err)
-
-    assert rc == 2
-    assert "non-empty" in err.getvalue()
-    # The pre-existing file is untouched (nothing was scaffolded over it).
-    assert (dest / "keep.txt").read_text(encoding="utf-8") == "mine"
-    assert not (dest / "AUTHORING.md").exists()
-
-
-def test_cli_newpack_into_empty_existing_dir_succeeds(tmp_path: Path) -> None:
-    """An existing but empty directory is a fine scaffold target."""
-    dest = tmp_path / "empty"
-    dest.mkdir()
-    assert cli.cli_newpack(dest, out=StringIO(), err=StringIO()) == 0
-    assert (dest / "AUTHORING.md").exists()
-
-
-# ---------------------------------------------------------------------------
-# server.main argv dispatch
-# ---------------------------------------------------------------------------
-
-
-def test_main_validate_dispatch_returns_status(
-    tmp_path: Path, capsys: pytest.CaptureFixture
-) -> None:
-    # A broken pack routed through main exits 2; a sound one exits 0.
-    pack = _clone_shipped(tmp_path)
-    _patch_world(pack, _break_daily_turns)
-
-    with pytest.raises(SystemExit) as broken:
-        server.main(["validate", str(pack)])
-    assert broken.value.code == 2
-
-    with pytest.raises(SystemExit) as sound:
-        server.main(["validate", str(SHIPPED)])
-    assert sound.value.code == 0
-    assert "The door stands open." in capsys.readouterr().out
-
-
-def test_main_newpack_dispatch(tmp_path: Path) -> None:
-    dest = tmp_path / "viamain"
-    with pytest.raises(SystemExit) as exc:
-        server.main(["newpack", str(dest)])
-    assert exc.value.code == 0
-    assert (dest / "AUTHORING.md").exists()
-
-
-def test_main_worlds_dispatch(capsys: pytest.CaptureFixture) -> None:
-    """`understone worlds` routes through main, exits 0, and lists the Vale."""
-    with pytest.raises(SystemExit) as exc:
-        server.main(["worlds"])
-    assert exc.value.code == 0
-    out = capsys.readouterr().out
-    assert "vale" in out
-    assert "The Vale of Understone" in out
-    assert "UNDERSTONE_WORLD=" in out
-
-
-def test_bare_invocation_resolves_to_serve_without_side_effects() -> None:
-    """Parsing no argv yields the serve path, and parsing has no side effects.
-
-    The transport launch (_serve) is reachable, but argument parsing neither
-    loads a world nor binds a port — so this asserts the resolved command
-    without ever calling _serve.
-    """
-    args = server._build_parser().parse_args([])
-    assert args.cmd is None  # None => the serve branch in main()
-    assert callable(server._serve)
-
-
-def test_subprocess_validate_packaged_world_exits_zero() -> None:
-    """End-to-end smoke: `python -m understone validate <packaged dir>` exits 0."""
-    result = subprocess.run(
-        [sys.executable, "-m", "understone", "validate", str(SHIPPED)],
-        cwd=EXAMPLE_DIR,
-        capture_output=True,
-        text=True,
-        timeout=60,
-    )
-    assert result.returncode == 0, result.stderr
-    assert "The door stands open." in result.stdout
-
-
-# ---------------------------------------------------------------------------
-# helpers
-# ---------------------------------------------------------------------------
-
-
-def _clone_shipped(tmp_path: Path) -> Path:
-    dest = tmp_path / "pack"
-    shutil.copytree(SHIPPED, dest)
-    return dest
-
-
-def _patch_world(pack: Path, mutate: Callable[[dict[str, Any]], None]) -> None:
-    path = pack / "world.json"
-    data = json.loads(path.read_text(encoding="utf-8"))
-    mutate(data)
-    path.write_text(json.dumps(data), encoding="utf-8")
-
-
-def _break_daily_turns(data: dict[str, Any]) -> None:
-    """Set daily_turns out of its 1..100 band so the pack fails to load."""
-    data["settings"]["daily_turns"] = 0

examples/door-game/tests/test_combat.py

@@ -1,123 +0,0 @@
-"""Combat resolution tests.
-
-Pins determinism (a fixed seed yields identical results twice, log and
-deltas), each outcome (win/lose/flee), xp/gold crediting on victory, and
-the defeat contract: the result flags a spawn bounce with no xp/gold and a
-zero hp delta (the façade applies hp=1 and the move).
-"""
-
-from __future__ import annotations
-
-from tests.conftest import make_monster, make_player
-from understone.engine.combat import Outcome, resolve_fight, resolve_flee
-from understone.engine.rng import GameRNG
-
-# A strong adventurer vs a Field Rat wins on every probed seed.
-_WIN_SEED = 1
-# A fragile adventurer vs a Stone Wyrm loses on every probed seed.
-_LOSE_SEED = 0
-# Flee outcomes (probed): seed 1 escapes clean, seed 0 is caught.
-_FLEE_CLEAN_SEED = 1
-_FLEE_CAUGHT_SEED = 0
-
-
-def _strong_player() -> object:
-    return make_player(hp=20, max_hp=20, atk=5, def_=1, xp=0, gold=50)
-
-
-def _wyrm() -> object:
-    return make_monster(tier=5, name="Stone Wyrm", hp=60, atk=18, def_=6, xp=140, gold=60)
-
-
-def test_fight_is_deterministic_under_fixed_seed() -> None:
-    r1 = resolve_fight(GameRNG(seed=7), make_player(), make_monster())
-    r2 = resolve_fight(GameRNG(seed=7), make_player(), make_monster())
-    assert r1.log == r2.log
-    assert (r1.outcome, r1.xp_delta, r1.gold_delta, r1.hp_delta) == (
-        r2.outcome,
-        r2.xp_delta,
-        r2.gold_delta,
-        r2.hp_delta,
-    )
-
-
-def test_win_credits_xp_and_gold() -> None:
-    player = make_player(hp=20, max_hp=20, atk=5, def_=1)
-    monster = make_monster(hp=6, atk=3, def_=0, xp=8, gold=3)
-    result = resolve_fight(GameRNG(seed=_WIN_SEED), player, monster)
-    assert result.outcome is Outcome.WIN
-    assert result.xp_delta == 8
-    assert result.gold_delta == 3
-    # hp_delta is non-positive (you may take a scratch) and never fatal here.
-    assert result.hp_delta <= 0
-    assert not result.bounce_to_spawn
-
-
-def test_win_deltas_are_exact_for_pinned_seed() -> None:
-    player = make_player(hp=20, max_hp=20, atk=5, def_=1)
-    monster = make_monster(hp=6, atk=3, def_=0, xp=8, gold=3)
-    result = resolve_fight(GameRNG(seed=_WIN_SEED), player, monster)
-    # Pinned from a determinism probe; guards against silent damage drift.
-    assert result.hp_delta == -1
-    # The engine no longer emits a "falls + reward" line — that sentence is
-    # composed by the game façade where the xp/gold are actually banked — so
-    # the WIN log is one line shorter than before and ends on the kill blow.
-    assert len(result.log) == 4
-    assert result.log[-1] == "You strike for 6. (Field Rat: 0 HP)"
-
-
-def test_win_log_does_not_claim_rewards() -> None:
-    """The engine narrates the kill blow only; it never claims xp/gold itself.
-
-    Reward ownership lives in the façade (so the Wyrm-win legacy reset, which
-    keeps no xp/gold, narrates no reward). The deltas are still carried on the
-    result for the caller to apply.
-    """
-    player = make_player(hp=20, max_hp=20, atk=5, def_=1)
-    monster = make_monster(hp=6, atk=3, def_=0, xp=8, gold=3)
-    result = resolve_fight(GameRNG(seed=_WIN_SEED), player, monster)
-    assert result.outcome is Outcome.WIN
-    assert result.xp_delta == 8 and result.gold_delta == 3  # deltas still set
-    joined = "\n".join(result.log)
-    assert "falls" not in joined  # no kill/reward sentence in the engine log
-    assert "XP" not in joined and "gold" not in joined
-
-
-def test_loss_flags_bounce_without_rewards() -> None:
-    result = resolve_fight(GameRNG(seed=_LOSE_SEED), _strong_player_loses(), _wyrm())
-    assert result.outcome is Outcome.LOSE
-    assert result.bounce_to_spawn is True
-    assert result.xp_delta == 0
-    assert result.gold_delta == 0
-    # Combat does not set hp to 1 itself — that is the façade's job.
-    assert result.hp_delta == 0
-
-
-def _strong_player_loses() -> object:
-    return make_player(hp=12, max_hp=12, atk=4, def_=0)
-
-
-def test_flee_can_escape_clean() -> None:
-    player = make_player(hp=20, max_hp=20, def_=1)
-    monster = make_monster(atk=8, def_=2)
-    result = resolve_flee(GameRNG(seed=_FLEE_CLEAN_SEED), player, monster)
-    assert result.outcome is Outcome.FLED
-    assert result.hp_delta == 0
-
-
-def test_flee_caught_costs_hp_but_never_kills() -> None:
-    player = make_player(hp=20, max_hp=20, def_=1)
-    monster = make_monster(atk=8, def_=2)
-    result = resolve_flee(GameRNG(seed=_FLEE_CAUGHT_SEED), player, monster)
-    assert result.outcome is Outcome.FLED
-    assert result.hp_delta < 0
-    # A caught flight cannot drop the player to or below zero.
-    assert player.hp + result.hp_delta >= 1
-
-
-def test_flee_caught_never_kills_at_low_hp() -> None:
-    player = make_player(hp=1, max_hp=20, def_=0)
-    monster = make_monster(atk=40, def_=0)
-    result = resolve_flee(GameRNG(seed=_FLEE_CAUGHT_SEED), player, monster)
-    # At 1 HP the most a failed flee can cost is 0 (cannot go below 1).
-    assert result.hp_delta == 0

examples/door-game/tests/test_game.py

@@ -1,858 +0,0 @@
-"""Game façade integration tests over the shipped world.
-
-Drives a full session against a temp store, a frozen clock, and a seeded
-RNG: join -> status -> look -> move -> action(buy/rest/fight) -> log ->
-rank -> bestow. Persistence is exercised by reopening the store.
-
-Negative-test discipline (turn guard and bestow cap):
-  Two guards are pinned by assertions here. To confirm each assertion has
-  teeth, the implementer temporarily reverted the guard line and observed
-  the matching test FAIL, then restored it:
-
-  * Turn guard (engine/turns.py spend_turn): replacing
-    ``if player.turns_left <= 0: return False`` with ``return True``
-    let fighting continue past the daily budget — ``test_turn_budget_blocks``
-    then failed on the "spent for today" assertion. Restored.
-  * Bestow cap (game.py bestow): removing the ``if cost > remaining``
-    refusal let an over-budget bestowal through — ``test_bestow_cap_refuses``
-    then failed on the unchanged-gold assertion. Restored.
-  * Sanitizer control-char guard (game.py _sanitize): disabling the
-    ``not cleaned.isprintable()`` clause let a newline-injected name create a
-    player row and a public event — ``test_join_rejects_control_char_name``
-    then failed. Restored. (See the comment block above the hygiene tests.)
-"""
-
-from __future__ import annotations
-
-import unicodedata
-from pathlib import Path
-
-import pytest
-
-from tests.conftest import fixed_clock, utc
-from understone.engine.models import Mode
-from understone.engine.rng import GameRNG
-from understone.game import Game
-from understone.persistence import Store
-from understone.world.loader import load_world
-
-PACK = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-
-@pytest.fixture
-def clock() -> object:
-    return fixed_clock(utc(2026, 6, 12, 10, 0))
-
-
-def _game(tmp_path: Path, clock: object, seed: int = 7) -> Game:
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    return Game(world, store, clock=clock, rng=GameRNG(seed=seed))  # type: ignore[arg-type]
-
-
-# ---------------------------------------------------------------------------
-# Join / status / look
-# ---------------------------------------------------------------------------
-
-
-def test_join_creates_player_at_spawn(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    out = game.join("Brandr")
-    player = game.players["Brandr"]
-    assert (player.x, player.y) == game.world.spawn
-    assert player.gold == game.world.settings.starting_gold
-    assert "@" in out
-    assert game.world.name in out
-
-
-def test_join_resumes_existing(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.players["Brandr"].gold = 123
-    out = game.join("Brandr")
-    assert "Welcome back" in out
-    assert game.players["Brandr"].gold == 123
-
-
-def test_status_unknown_player_is_friendly(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    out = game.status("Nobody")
-    assert "has signed the ledger" in out
-    assert "door_join" in out
-
-
-def test_look_overworld_has_frame(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    out = game.look("Brandr")
-    assert "@" in out
-    assert "┌" in out and "┐" in out
-    assert len(out) < 2048
-
-
-def test_overworld_frame_textured_borders_intact(tmp_path: Path, clock: object) -> None:
-    """The textured overworld frame keeps square borders and a single player marker.
-
-    Structural discipline for the v0.6 texture: variants change the GLYPHS but
-    must never change the geometry. The box rows are uniform width, exactly one
-    '@' is painted, and the grass field shows more than one variant in a row
-    (the deterministic stipple, not a flat sheet of '.').
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    frame = game.look("Brandr")
-    lines = frame.split("\n")
-    # Box rows: top border + VIEW_H grid rows + bottom border, all equal width.
-    box = [ln for ln in lines if ln and ln[0] in "┌│└"]
-    widths = {len(ln) for ln in box}
-    assert len(widths) == 1, f"textured frame rows ragged: {widths}"
-    # Exactly one player marker, regardless of the surrounding texture.
-    assert frame.count("@") == 1
-    # The grass texture varies: a body row carries at least two of . , '
-    body = [ln for ln in lines if ln.startswith("│")]
-    assert any(len({ch for ch in ln if ch in ".,'"}) >= 2 for ln in body)
-
-
-def test_look_in_menu_shows_location(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    # Shop is two cells east of spawn along the road.
-    game.move("Brandr", "", "east", 2)
-    assert game.players["Brandr"].mode is Mode.MENU
-    out = game.look("Brandr")
-    assert "(B)uy" in out and "(L)eave" in out
-
-
-# ---------------------------------------------------------------------------
-# Move
-# ---------------------------------------------------------------------------
-
-
-def test_move_blocked_in_menu(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.move("Brandr", "", "east", 2)  # into the shop menu
-    out = game.move("Brandr", "", "east", 2)
-    assert "inside" in out.lower()
-
-
-def test_move_enters_location(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    out = game.move("Brandr", "", "west", 2)  # inn is two cells west
-    assert game.players["Brandr"].at_location == "inn"
-    assert "step inside" in out.lower()
-
-
-# ---------------------------------------------------------------------------
-# Actions: rest, fight, turn budget
-# ---------------------------------------------------------------------------
-
-
-def test_rest_heals_and_charges(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.hp = 5
-    game.move("Brandr", "", "west", 2)  # inn
-    out = game.action("Brandr", "rest", "", "")
-    assert player.hp == player.max_hp
-    assert player.gold == game.world.settings.starting_gold - game.world.settings.rest_cost
-    assert "full health" in out.lower()
-
-
-def test_rest_when_spent_restores_a_fresh_days_turns(tmp_path: Path, clock: object) -> None:
-    """Sleeping at the inn with no turns left rolls into a fresh day's allowance."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    daily = game.world.settings.daily_turns
-    player.turns_left = 0  # spent for the day
-    player.hp = 5
-    game.move("Brandr", "", "west", 2)  # step into the inn
-    out = game.action("Brandr", "rest", "", "")
-    assert player.turns_left == daily  # a fresh day's turns restored
-    assert player.hp == player.max_hp  # and fully mended
-    assert f"/{daily} ]" in out  # footer reflects the refreshed budget
-
-
-def test_rest_with_turns_in_hand_never_inflates_the_budget(tmp_path: Path, clock: object) -> None:
-    """Resting mid-day mends but adds no turns — the top-up only fires at zero."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    daily = game.world.settings.daily_turns
-    player.turns_left = daily - 3  # turns still in hand
-    player.hp = 5
-    game.move("Brandr", "", "west", 2)  # step into the inn
-    game.action("Brandr", "rest", "", "")
-    assert player.turns_left == daily - 3  # unchanged: no farming past the cap
-    assert player.hp == player.max_hp  # but the heal still lands
-
-
-def test_fight_spends_a_turn_and_credits(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    # Drop into the forest_near zone so an encounter is available.
-    player.x, player.y = 35, 25
-    before_turns = player.turns_left
-    out = game.action("Brandr", "fight", "", "")
-    assert player.turns_left == before_turns - 1
-    assert player.xp > 0
-    assert "XP" in out
-
-
-def test_turn_budget_blocks(tmp_path: Path, clock: object) -> None:
-    """Pins the spend_turn guard: at 0 turns, fighting is refused.
-
-    See the module docstring for the revert-and-observe-failure check that
-    proves this assertion has teeth.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.x, player.y = 35, 25
-    player.turns_left = 0
-    out = game.action("Brandr", "fight", "", "")
-    assert "spent for today" in out.lower()
-    # No turn was consumed past zero, and no XP was gained.
-    assert player.turns_left == 0
-    assert player.xp == 0
-
-
-# ---------------------------------------------------------------------------
-# Log / rank
-# ---------------------------------------------------------------------------
-
-
-def test_log_reports_then_advances(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    # A second player acting creates a public event Brandr has not yet seen.
-    game.join("Sigrun")
-    first = game.log("Brandr")
-    assert "Sigrun" in first or "Brandr" in first
-    assert "The Understone Herald" in first  # dressed as the broadsheet
-    # The cursor advanced; a second read with no new events is quiet.
-    second = game.log("Brandr")
-    assert "The Understone Herald" in second  # the masthead still prints
-    assert "still" in second.lower()  # the herald-flavoured "all quiet" line
-
-
-def test_rank_marks_caller(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.join("Sigrun")
-    game.players["Sigrun"].level = 5
-    out = game.rank("Brandr")
-    assert "Brandr" in out and "Sigrun" in out
-    assert "*" in out  # the caller's row is marked
-    assert "┌" in out  # box-drawing table
-
-
-# ---------------------------------------------------------------------------
-# Rank ★ column: stars live in their own column, so a long name keeps them
-# ---------------------------------------------------------------------------
-
-
-def test_win_stars_column_formats() -> None:
-    """Zero is blank, 1..5 render as ★ runs, and >5 collapses to ★xN."""
-    from understone.game import _win_stars
-
-    assert _win_stars(0) == ""
-    assert _win_stars(1) == "★"
-    assert _win_stars(5) == "★★★★★"
-    assert _win_stars(7) == "★x7"
-
-
-def test_long_name_with_one_win_keeps_its_star() -> None:
-    """A full 24-char name no longer eats its own ★ (the v0.1 truncation bug).
-
-    The name occupied the whole 20-wide field before, clipping the star away;
-    with a separate stars column the ★ survives beside a maximal name.
-    """
-    from understone.engine.rank import RankEntry
-    from understone.game import _render_rank_table
-
-    name = "X" * 24
-    rows = _render_rank_table([RankEntry(name=name, level=5, xp=100, gold=50, wins=1)], caller="")
-    body = "\n".join(rows)
-    assert name in body  # the full name is present
-    assert "★" in body  # and so is its star
-
-
-def test_high_win_count_renders_compact_marker() -> None:
-    """Seven wins render as the compact ``★x7`` rather than seven glyphs."""
-    from understone.engine.rank import RankEntry
-    from understone.game import _render_rank_table
-
-    rows = _render_rank_table([RankEntry(name="Champ", level=9, xp=9, gold=9, wins=7)], caller="")
-    body = "\n".join(rows)
-    assert "★x7" in body
-    assert "★★★★★★★" not in body  # not seven literal stars
-
-
-def test_shared_world_other_player_marker(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.join("Sigrun")
-    # Stand Sigrun one cell east of Brandr's spawn so she lands in the view.
-    sig = game.players["Sigrun"]
-    brandr = game.players["Brandr"]
-    sig.x, sig.y = brandr.x + 1, brandr.y
-    out = game.look("Brandr")
-    assert "☻" in out  # the other player shows as '☻'
-
-
-# ---------------------------------------------------------------------------
-# Bestow (+ cap negative test)
-# ---------------------------------------------------------------------------
-
-
-def test_bestow_grants_gold(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    before = player.gold
-    out = game.bestow("Brandr", "a daring rescue", 10, 0)
-    assert player.gold == before + 10
-    assert player.bestow_spent == 10
-    assert "bestowal" in out.lower()
-
-
-def test_bestow_heal_charges_only_applied(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.hp = player.max_hp - 3  # only 3 missing
-    game.bestow("Brandr", "mercy after a hard fight", 0, 10)
-    assert player.hp == player.max_hp
-    # Charged for 3 HP at heal_cost_per_hp, not the requested 10.
-    assert player.bestow_spent == 3 * game.world.settings.heal_cost_per_hp
-
-
-def test_bestow_requires_reason(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    out = game.bestow("Brandr", "   ", 10, 0)
-    assert "reason" in out.lower()
-    assert game.players["Brandr"].gold == game.world.settings.starting_gold
-
-
-def test_bestow_requires_nonzero(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    out = game.bestow("Brandr", "nothing at all", 0, 0)
-    assert "at least" in out.lower()
-
-
-def test_bestow_cap_refuses(tmp_path: Path, clock: object) -> None:
-    """Pins the bestow cap: an over-budget grant is refused without mutation.
-
-    See the module docstring for the revert-and-observe-failure check that
-    proves this assertion has teeth.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    budget = game.world.settings.bestow_daily_budget
-    before_gold = player.gold
-    out = game.bestow("Brandr", "an absurd windfall", budget + 100, 0)
-    assert "the fates allow" in out.lower()
-    # Refused cleanly: no gold moved and no pool spent.
-    assert player.gold == before_gold
-    assert player.bestow_spent == 0
-
-
-def test_bestow_pool_resets_next_day(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    game.bestow("Brandr", "first blessing", 20, 0)
-    assert player.bestow_spent == 20
-    # Advance the clock past UTC midnight; the next bestow sees a fresh pool.
-    game.clock = fixed_clock(utc(2026, 6, 13, 0, 5))  # type: ignore[assignment]
-    game.bestow("Brandr", "a new day's fortune", 20, 0)
-    assert player.bestow_spent == 20  # reset to 0 then +20, not 40
-
-
-# ---------------------------------------------------------------------------
-# Persistence round-trip through the façade
-# ---------------------------------------------------------------------------
-
-
-def test_state_survives_store_reopen(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.players["Brandr"].x, game.players["Brandr"].y = 35, 25
-    game.action("Brandr", "fight", "", "")
-    xp_after = game.players["Brandr"].xp
-    gold_after = game.players["Brandr"].gold
-    game.store.close()
-
-    world = load_world(PACK)
-    reopened = Store(tmp_path / "game.db")
-    revived = Game(world, reopened, clock=clock)  # type: ignore[arg-type]
-    assert revived.players["Brandr"].xp == xp_after
-    assert revived.players["Brandr"].gold == gold_after
-
-
-# ---------------------------------------------------------------------------
-# Day rollover applies to fight/descend, not just join/bestow
-# ---------------------------------------------------------------------------
-
-
-class _MutableClock:
-    """A clock whose reported moment can be advanced between calls."""
-
-    def __init__(self, moment: object) -> None:
-        self.moment = moment
-
-    def __call__(self) -> object:
-        return self.moment
-
-
-def test_fight_refreshes_budget_across_midnight(tmp_path: Path) -> None:
-    """A fight on a new UTC day must reset the budget without re-joining.
-
-    Before the fix, _resolve_encounter spent a turn without calling
-    _ensure_day, so an exhausted player who returned the next day was still
-    blocked until they happened to re-join.
-    """
-    clk = _MutableClock(utc(2026, 6, 12, 23, 0))
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    game = Game(world, store, clock=clk, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.x, player.y = 35, 25  # forest_near zone: an encounter is available
-    player.turns_left = 0  # spent for the day
-    daily = game.world.settings.daily_turns
-
-    clk.moment = utc(2026, 6, 13, 0, 5)  # cross UTC midnight, no re-join
-    out = game.action("Brandr", "fight", "", "")
-
-    assert "spent for today" not in out.lower()  # the fresh day let the fight run
-    assert player.turns_left == daily - 1  # reset to full, then one spent
-    assert player.xp > 0
-    assert f"/{daily} ]" in out  # footer shows the refreshed budget
-
-
-def test_descend_refreshes_budget_across_midnight(tmp_path: Path) -> None:
-    """Descending on a new UTC day resets the budget without re-joining."""
-    clk = _MutableClock(utc(2026, 6, 12, 23, 0))
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    game = Game(world, store, clock=clk, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Hero")
-    player = game.players["Hero"]
-    # Overwhelming stats so the gauntlet itself never bounces the player.
-    player.level, player.atk, player.def_ = 20, 200, 100
-    player.hp = player.max_hp = 500
-    player.mode = Mode.MENU
-    player.at_location = "dungeon"
-    player.turns_left = 0
-    daily = game.world.settings.daily_turns
-
-    clk.moment = utc(2026, 6, 13, 0, 5)
-    out = game.action("Hero", "descend", "", "")
-
-    assert "too weary" not in out.lower()
-    assert player.turns_left == daily - 1
-
-
-# ---------------------------------------------------------------------------
-# Input hygiene chokepoint (the _sanitize helper)
-# ---------------------------------------------------------------------------
-#
-# Negative-test discipline (security invariant): to prove the control-char
-# rejection in Game._sanitize has teeth, the implementer temporarily replaced
-# its ``not cleaned.isprintable()`` clause with ``False`` (disabling the
-# check) and confirmed test_join_rejects_control_char_name FAILED — the
-# injected name created a player row and a public event. The clause was then
-# restored. The newline-injection test below is the standing regression for
-# that invariant.
-
-
-def test_join_rejects_control_char_name(tmp_path: Path, clock: object) -> None:
-    """A bell/control character in a name is refused with the runes line."""
-    game = _game(tmp_path, clock)
-    out = game.join("Bra\x07ndr")
-    assert "strange runes" in out
-    assert game.players == {}  # no row created
-    assert game.events == []  # nothing persisted
-
-
-def test_join_rejects_newline_name_no_persist(tmp_path: Path, clock: object) -> None:
-    """An embedded newline (log-injection vector) is refused, nothing written.
-
-    The name is kept short so it is the control-char clause — not the length
-    clause — that rejects it; this is the standing regression for the
-    isprintable security invariant documented in the module docstring.
-    """
-    game = _game(tmp_path, clock)
-    out = game.join("Bra\nndr")  # 7 chars: well under the 24 limit
-    assert "strange runes" in out  # the runes (bad-character) refusal, not length
-    # The security invariant: no player row and no event row escaped the guard.
-    assert game.players == {}
-    assert game.events == []
-
-
-def test_join_rejects_overlong_name(tmp_path: Path, clock: object) -> None:
-    """A 25-character name is refused with the narrow-ledger line."""
-    game = _game(tmp_path, clock)
-    out = game.join("X" * 25)
-    assert "ledger is narrow" in out
-    assert game.players == {}
-
-
-def test_join_accepts_max_length_name(tmp_path: Path, clock: object) -> None:
-    """A 24-character name is exactly at the limit and accepted."""
-    game = _game(tmp_path, clock)
-    name = "X" * 24
-    game.join(name)
-    assert name in game.players
-
-
-# ---------------------------------------------------------------------------
-# Narrow-ledger width rule (the _sanitize one-column clause, v0.6)
-#
-# Names/reasons/mail render inside fixed-width frames and tables, so a glyph
-# that does not fit a single column would shove a column out of true. The
-# sanitizer rejects wide runes and combining marks; a printable-but-wide name
-# gets the dedicated narrow-ledger refusal, not the control-char "runes" line.
-# ---------------------------------------------------------------------------
-
-
-def test_join_rejects_wide_cjk_name(tmp_path: Path, clock: object) -> None:
-    """A CJK ideograph name is refused with the narrow-ledger line; nothing written."""
-    game = _game(tmp_path, clock)
-    out = game.join("龍")
-    assert "columns are narrow" in out
-    assert game.players == {}
-    assert game.events == []
-
-
-def test_join_rejects_emoji_name(tmp_path: Path, clock: object) -> None:
-    """An emoji in a name (🌲x) is wide and refused with the narrow-ledger line."""
-    game = _game(tmp_path, clock)
-    out = game.join("🌲x")
-    assert "columns are narrow" in out
-    assert game.players == {}
-
-
-def test_join_rejects_fullwidth_name(tmp_path: Path, clock: object) -> None:
-    """A fullwidth Latin letter (Ａ) is two columns and refused."""
-    game = _game(tmp_path, clock)
-    out = game.join("Ａ")
-    assert "columns are narrow" in out
-    assert game.players == {}
-
-
-def test_join_rejects_combining_mark_name(tmp_path: Path, clock: object) -> None:
-    """A name with a combining mark (decomposed accent) is refused as wide.
-
-    The name is normalised to NFD so the 'o' carries a separate U+0308
-    combining diaeresis — a zero-width code point that desynchronises the
-    column count. Built explicitly so the source encoding cannot mask it.
-    """
-    game = _game(tmp_path, clock)
-    decomposed = unicodedata.normalize("NFD", "Bj\u00f6rn")
-    assert any(unicodedata.combining(ch) for ch in decomposed)  # genuinely NFD
-    out = game.join(decomposed)
-    assert "columns are narrow" in out
-    assert game.players == {}
-
-
-def test_join_accepts_composed_latin_name(tmp_path: Path, clock: object) -> None:
-    """A precomposed Latin accent (NFC name) is all single-column and accepted."""
-    game = _game(tmp_path, clock)
-    composed = unicodedata.normalize("NFC", "Bj\u00f6rn")
-    game.join(composed)
-    assert composed in game.players
-
-
-def _seed_wide_named_player(db: Path, clock: object, wide_name: str) -> None:
-    """Write a stored adventurer whose name is a now-illegal wide rune.
-
-    Bypasses ``join`` (which would refuse a wide name at creation) by upserting
-    a Player row straight through the Store, so the fixture stands in for a save
-    that predates the narrow-ledger rule. Built by renaming a legitimately-
-    created hero so every other field stays valid.
-    """
-    from dataclasses import replace
-
-    world = load_world(PACK)
-    seed = Store(db)
-    game = Game(world, seed, clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Brandr")
-    base = game.players["Brandr"]
-    seed.upsert_player(replace(base, name=wide_name))
-    seed.commit()
-    seed.close()
-
-
-def test_join_resumes_stored_wide_name(tmp_path: Path, clock: object) -> None:
-    """An existing adventurer with a wide-rune name resumes \u2014 identity is never re-gated.
-
-    Resume keys off the exact stored name BEFORE the sanitizer, so a character
-    whose name predates the narrow-ledger rule is welcomed back rather than
-    locked out. This is the resume-by-exact-name invariant.
-    """
-    db = tmp_path / "game.db"
-    wide = "\u9f8d"
-    _seed_wide_named_player(db, clock, wide)
-
-    world = load_world(PACK)
-    game = Game(world, Store(db), clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    out = game.join(wide)
-    assert "Welcome back" in out  # resumed, not refused
-    assert "columns are narrow" not in out
-    assert wide in game.players
-
-
-def test_join_still_refuses_new_wide_name(tmp_path: Path, clock: object) -> None:
-    """Creation is still gated: a NEW wide name with no stored row is refused.
-
-    The resume bypass is exact-name only; a wide name that matches no stored
-    adventurer falls through to the creation gate and gets the narrow-ledger
-    refusal, with nothing written.
-    """
-    db = tmp_path / "game.db"
-    # Seed one wide-named save, then try to CREATE a different wide name.
-    _seed_wide_named_player(db, clock, "\u9f8d")
-
-    world = load_world(PACK)
-    game = Game(world, Store(db), clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    out = game.join("\u7363")  # a different wide rune \u2014 no stored row for it
-    assert "columns are narrow" in out
-    assert "\u7363" not in game.players
-
-
-def test_bestow_rejects_newline_reason_no_persist(tmp_path: Path, clock: object) -> None:
-    """A newline-embedded bestow reason is refused; no event, pool unchanged."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    events_before = len(game.events)
-    out = game.bestow("Brandr", "heroics\nand a forged log line", 10, 0)
-    assert "plainly-spoken" in out
-    assert len(game.events) == events_before  # no bestow event appended
-    assert player.bestow_spent == 0  # pool untouched
-
-
-# ---------------------------------------------------------------------------
-# Bestow: heal-only at full HP grants nothing (no empty grant persisted)
-# ---------------------------------------------------------------------------
-
-
-def test_bestow_heal_only_at_full_hp_refused(tmp_path: Path, clock: object) -> None:
-    """A heal-only bestow at full HP applies nothing and must not persist."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    assert player.hp == player.max_hp  # join starts at full health
-    events_before = len(game.events)
-    out = game.bestow("Brandr", "a quiet blessing", 0, 10)
-    assert "already hale" in out
-    assert len(game.events) == events_before  # no "Fortune favours" line written
-    assert player.bestow_spent == 0  # nothing charged
-
-
-# ---------------------------------------------------------------------------
-# Descend the deep: one rung per descent (see test_descend.py for the ladder)
-# ---------------------------------------------------------------------------
-
-
-def test_descend_fights_one_rung_and_advances(tmp_path: Path, clock: object) -> None:
-    """A strong player clears the next rung: one foe fought, rewards banked, depth +1."""
-    game = _game(tmp_path, clock)
-    game.join("Hero")
-    player = game.players["Hero"]
-    player.level, player.atk, player.def_ = 20, 200, 100
-    player.hp = player.max_hp = 500
-    player.mode = Mode.MENU
-    player.at_location = "dungeon"
-    before_turns, before_gold, before_xp = player.turns_left, player.gold, player.xp
-
-    out = game.action("Hero", "descend", "", "")
-
-    # The first rung is the tier-3 guardian (Forest Wolf); deeper rungs do NOT
-    # appear in one descent — the deep is fought a rung at a time now.
-    assert "Forest Wolf" in out
-    assert "Cave Troll" not in out
-    assert player.deepest_rung == 1
-    assert player.turns_left == before_turns - 1
-    assert player.gold > before_gold
-    assert player.xp > before_xp
-
-
-def test_descend_bounces_weak_player_to_spawn(tmp_path: Path, clock: object) -> None:
-    """A fresh weak player falls on the first rung and wakes at the spawn.
-
-    Depth is NOT advanced by a loss, but it persists at whatever it was (here 0).
-    """
-    game = _game(tmp_path, clock)
-    game.join("Weakling")
-    player = game.players["Weakling"]
-    player.mode = Mode.MENU
-    player.at_location = "dungeon"
-
-    out = game.action("Weakling", "descend", "", "")
-
-    assert player.hp == 1
-    assert player.mode is Mode.TILE
-    assert player.at_location == ""
-    assert (player.x, player.y) == game.world.spawn
-    assert player.deepest_rung == 0  # a loss never advances the deep
-    # Felled by the first rung (the tier-3 Forest Wolf).
-    assert "Forest Wolf" in out
-
-
-# ---------------------------------------------------------------------------
-# Shop façade: buy / upgrade / sell / heal stat arithmetic
-# ---------------------------------------------------------------------------
-
-
-def test_shop_buy_upgrade_sell_heal_cycle(tmp_path: Path, clock: object) -> None:
-    """Equip deltas apply once on buy/upgrade and unwind cleanly on sell."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.gold = 1000
-    player.mode = Mode.MENU
-    player.at_location = "shop"
-
-    short_sword = game.world.item_by_id("short_sword")
-    war_axe = game.world.item_by_id("war_axe")
-    starter = game.world.item_by_id(game.world.settings.starting_weapon)
-    assert short_sword is not None and war_axe is not None and starter is not None
-
-    starter_atk = player.atk  # 3 base + rusty dagger bonus
-
-    # Buy the short sword: gold falls by its price, atk rises by the delta.
-    gold0 = player.gold
-    game.action("Brandr", "buy", "", "short_sword")
-    assert player.gold == gold0 - short_sword.price
-    assert player.atk == starter_atk + (short_sword.atk - starter.atk)
-    atk_with_sword = player.atk
-
-    # Upgrade to the war axe: atk reflects the difference, not a double-add.
-    gold1 = player.gold
-    game.action("Brandr", "buy", "", "war_axe")
-    assert player.gold == gold1 - war_axe.price
-    assert player.atk == atk_with_sword + (war_axe.atk - short_sword.atk)
-
-    # Sell the war axe: half-price refund, atk falls back to the starter bonus.
-    gold2 = player.gold
-    game.action("Brandr", "sell", "", "")
-    assert player.gold == gold2 + war_axe.price // 2
-    assert player.atk == starter_atk
-
-    # Heal at the shrine: HP restored, gold debited per missing point.
-    player.mode = Mode.MENU
-    player.at_location = "healer"
-    player.hp = player.max_hp - 5
-    per_hp = game.world.settings.heal_cost_per_hp
-    gold3 = player.gold
-    game.action("Brandr", "heal", "", "")
-    assert player.hp == player.max_hp
-    assert player.gold == gold3 - 5 * per_hp
-
-
-def test_sell_starter_weapon_refused(tmp_path: Path, clock: object) -> None:
-    """The starter blade is unsellable regardless of price (no free-gold loop)."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    assert player.weapon_id == game.world.settings.starting_weapon
-    player.mode = Mode.MENU
-    player.at_location = "shop"
-    gold_before = player.gold
-    out = game.action("Brandr", "sell", "", "")
-    assert "nothing worth selling" in out.lower()
-    assert player.gold == gold_before
-
-
-# ---------------------------------------------------------------------------
-# Bounded in-memory event tail (full history stays in SQLite)
-# ---------------------------------------------------------------------------
-
-
-def test_event_tail_is_capped_but_log_still_works(tmp_path: Path, clock: object) -> None:
-    """Loading caps the resident tail; door_log still serves recent events."""
-    from understone.engine.log import since
-    from understone.game import EVENT_TAIL_KEEP
-
-    db = tmp_path / "game.db"
-    seed_store = Store(db)
-    last_id = 0
-    for i in range(EVENT_TAIL_KEEP + 50):
-        last_id = seed_store.insert_event("t", "sys", "note", f"event {i}")
-    seed_store.commit()
-    seed_store.close()
-
-    world = load_world(PACK)
-    game = Game(world, Store(db), clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    # Only the most recent EVENT_TAIL_KEEP events are resident in memory.
-    assert len(game.events) == EVENT_TAIL_KEEP
-    assert game.events[-1].event_id == last_id
-
-    # door_log still reports events after a recent cursor.
-    recent_cursor = game.events[-3].event_id
-    game.join("Brandr")
-    game.players["Brandr"].log_cursor = recent_cursor
-    out = game.log("Brandr")
-    assert "The Understone Herald" in out  # broadsheet masthead
-    assert "since your last visit" in out
-    fresh, new_cursor = since(game.events, recent_cursor)
-    assert fresh  # there are events past the cursor
-    assert new_cursor == game.events[-1].event_id
-
-
-def test_private_mail_survives_tail_eviction(tmp_path: Path, clock: object) -> None:
-    """A private note older than the resident tail is still delivered (durable mail).
-
-    Public history that falls off the in-memory tail is gone by design (the
-    broadsheet does not keep), but mail must not be: a note left while the
-    recipient was away has to surface however many public events have since
-    pushed it out of the tail. A third player — whose cursor also predates the
-    note — must still never see it, because it was never theirs.
-    """
-    from understone.persistence import EVENT_TAIL_KEEP
-
-    db = tmp_path / "game.db"
-    store = Store(db)
-    game = Game(load_world(PACK), store, clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Scribe")
-    game.join("Reader")
-    game.join("Bystander")
-    # Scribe leaves Reader a private note; neither Reader nor Bystander reads it.
-    secret = "the cellar key is under the third barrel"
-    game.action("Scribe", "post", "Reader", "", secret)
-
-    # Flood the feed past the tail bound so the note is evicted from memory.
-    for i in range(EVENT_TAIL_KEEP + 20):
-        store.insert_event("t", "sys", "note", f"broadsheet filler {i}")
-    store.commit()
-    store.close()
-
-    # Reopen: only the newest tail is resident, so the note now lives in the gap.
-    reopened = Store(db)
-    revived = Game(load_world(PACK), reopened, clock=clock, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    note_id = next(
-        e.event_id
-        for e in reopened.targeted_events_since("Reader", 0)  # note: from SQLite, not the tail
-        if secret in e.text
-    )
-    assert note_id < revived.events[0].event_id  # the note really is past the tail
-
-    # The recipient still sees the note, backfilled from SQLite...
-    reader_log = revived.log("Reader")
-    assert secret in reader_log
-    assert "While you were away" in reader_log
-    # ...but a third player never does, even though their cursor predates it too.
-    third_log = revived.log("Bystander")
-    assert secret not in third_log
-    reopened.close()

examples/door-game/tests/test_leveling.py

@@ -1,118 +0,0 @@
-"""XP curve, level-up, and restorative-maths tests.
-
-Pins the threshold edges (at / just below / just above), a multi-level
-jump from a single award, the exact growth table, the inn's flat-rate
-full heal with affordability gating, and the healer's per-HP cost maths.
-"""
-
-from __future__ import annotations
-
-from tests.conftest import DEFAULT_SETTINGS, make_player, make_settings
-from understone.engine.leveling import apply_xp, heal, rest, xp_for_level
-
-# Default curve is 100 * (n-1)*n/2 cumulative:
-#   L2 = 100, L3 = 300, L4 = 600, L5 = 1000.
-
-
-def test_xp_curve_thresholds() -> None:
-    assert xp_for_level(1, DEFAULT_SETTINGS) == 0
-    assert xp_for_level(2, DEFAULT_SETTINGS) == 100
-    assert xp_for_level(3, DEFAULT_SETTINGS) == 300
-    assert xp_for_level(4, DEFAULT_SETTINGS) == 600
-    assert xp_for_level(5, DEFAULT_SETTINGS) == 1000
-
-
-def test_just_below_threshold_does_not_level() -> None:
-    player = make_player(level=1, xp=0, hp=20, max_hp=20)
-    gains = apply_xp(player, 99, DEFAULT_SETTINGS)
-    assert gains == []
-    assert player.level == 1
-
-
-def test_exact_threshold_levels_once() -> None:
-    player = make_player(level=1, xp=0, hp=10, max_hp=20, atk=5, def_=1)
-    gains = apply_xp(player, 100, DEFAULT_SETTINGS)
-    assert len(gains) == 1
-    assert player.level == 2
-    # Growth table applied and a full heal granted on level-up.
-    assert player.max_hp == 26
-    assert player.atk == 7
-    assert player.def_ == 2
-    assert player.hp == player.max_hp
-
-
-def test_just_above_threshold_levels_once() -> None:
-    player = make_player(level=1, xp=0)
-    gains = apply_xp(player, 101, DEFAULT_SETTINGS)
-    assert len(gains) == 1
-    assert player.level == 2
-    assert player.xp == 101
-
-
-def test_single_award_can_jump_multiple_levels() -> None:
-    player = make_player(level=1, xp=0, max_hp=20, atk=5, def_=1)
-    gains = apply_xp(player, 600, DEFAULT_SETTINGS)
-    # 600 cumulative reaches level 4 (L2=100, L3=300, L4=600).
-    assert player.level == 4
-    assert [g.new_level for g in gains] == [2, 3, 4]
-    # Three levels of growth stacked.
-    assert player.max_hp == 20 + 3 * 6
-    assert player.atk == 5 + 3 * 2
-    assert player.def_ == 1 + 3 * 1
-
-
-def test_growth_table_respects_settings() -> None:
-    settings = make_settings(growth_max_hp=10, growth_atk=3, growth_def=2, xp_base=50)
-    player = make_player(level=1, xp=0, max_hp=20, atk=5, def_=1)
-    apply_xp(player, 50, settings)  # L2 at 50 with xp_base=50
-    assert player.level == 2
-    assert player.max_hp == 30
-    assert player.atk == 8
-    assert player.def_ == 3
-
-
-# ---------------------------------------------------------------------------
-# rest (inn) and heal (healer)
-# ---------------------------------------------------------------------------
-
-
-def test_rest_full_heals_and_charges() -> None:
-    player = make_player(hp=5, max_hp=20, gold=50)
-    assert rest(player, cost=15) is True
-    assert player.hp == 20
-    assert player.gold == 35
-
-
-def test_rest_refused_when_unaffordable() -> None:
-    player = make_player(hp=5, max_hp=20, gold=10)
-    assert rest(player, cost=15) is False
-    assert player.hp == 5
-    assert player.gold == 10
-
-
-def test_heal_charges_only_for_hp_restored() -> None:
-    player = make_player(hp=15, max_hp=20, gold=100)
-    result = heal(player, amount=10, cost_per_hp=2)
-    # Only 5 HP were missing.
-    assert result.healed == 5
-    assert result.cost == 10
-    assert player.hp == 20
-    assert player.gold == 90
-
-
-def test_heal_bounded_by_affordability() -> None:
-    player = make_player(hp=2, max_hp=20, gold=7)
-    result = heal(player, amount=10, cost_per_hp=2)
-    # 7 gold buys 3 HP at 2/hp.
-    assert result.healed == 3
-    assert result.cost == 6
-    assert player.hp == 5
-    assert player.gold == 1
-
-
-def test_heal_noop_when_full() -> None:
-    player = make_player(hp=20, max_hp=20, gold=100)
-    result = heal(player, amount=10, cost_per_hp=2)
-    assert result.healed == 0
-    assert result.cost == 0
-    assert player.gold == 100

examples/door-game/tests/test_mcp_integration.py

@@ -1,288 +0,0 @@
-"""End-to-end MCP integration test — the only test that touches the network.
-
-Boots the real Understone FastMCP app (backed by a temp DB) in a uvicorn
-thread, then drives it over the real streamable-HTTP wire with the real MCP
-client: initialize, list_tools (all nine door_* names), join, look. A second
-client session joins a second adventurer in the SAME process and world, and
-the first player's view then shows the '&' other-player marker — proving the
-shared-world, single-process contract over a real wire.
-
-A second test drives the read-only Watch routes that ride inside the same app:
-GET /watch (the HTML page), /watch/world.json (the static map), and
-/watch/state.json (the live snapshot) — confirming the spectator endpoints
-serve real world data alongside a working /mcp without breaking either.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import socket
-import threading
-import time
-from typing import TYPE_CHECKING, Any
-
-import httpx
-import pytest
-import uvicorn
-from mcp import ClientSession
-from mcp.client.streamable_http import streamable_http_client
-
-from understone import server as understone_server
-
-if TYPE_CHECKING:
-    from pathlib import Path
-
-PACK = str(understone_server.PACKAGED_WORLD_DIR)
-
-
-def _find_free_port() -> int:
-    s = socket.socket()
-    s.bind(("127.0.0.1", 0))
-    port = s.getsockname()[1]
-    s.close()
-    return int(port)
-
-
-def _build_server(port: int, db_path: str) -> uvicorn.Server:
-    app = understone_server.create_app(db_path, PACK)
-    config = uvicorn.Config(app, host="127.0.0.1", port=port, log_level="warning", access_log=False)
-    return uvicorn.Server(config)
-
-
-def _wait_ready(port: int, timeout: float = 5.0) -> None:
-    deadline = time.monotonic() + timeout
-    while time.monotonic() < deadline:
-        try:
-            with socket.create_connection(("127.0.0.1", port), timeout=0.5):
-                return
-        except OSError:
-            time.sleep(0.05)
-    raise TimeoutError(f"understone server at 127.0.0.1:{port} not ready after {timeout}s")
-
-
-@pytest.fixture
-def live_server(tmp_path: Path) -> Any:
-    """Boot the real Understone app in a background uvicorn thread."""
-    port = _find_free_port()
-    db_path = str(tmp_path / "wire.db")
-    server = _build_server(port, db_path)
-
-    def _run() -> None:
-        loop = asyncio.new_event_loop()
-        asyncio.set_event_loop(loop)
-        loop.run_until_complete(server.serve())
-
-    thread = threading.Thread(target=_run, daemon=True, name="understone-itest")
-    thread.start()
-    try:
-        _wait_ready(port)
-        yield f"http://127.0.0.1:{port}/mcp"
-    finally:
-        server.should_exit = True
-        thread.join(timeout=5)
-        # create_app installed a module-level game whose Store holds an open
-        # SQLite connection; close it and clear the singleton so the next test
-        # builds its own rather than inheriting this temp DB.
-        if understone_server._GAME is not None:
-            understone_server._GAME.store.close()
-            understone_server._GAME = None
-        # FastMCP caches a StreamableHTTPSessionManager on the module-level mcp
-        # singleton and refuses a second lifespan .run() on the same instance.
-        # Reset it so each fixture instance boots a fresh session manager (the
-        # production server only ever runs one). Without this, a second
-        # fixture-using test fails on "run() can only be called once".
-        understone_server.mcp._session_manager = None
-
-
-async def _call_text(session: ClientSession, name: str, arguments: dict[str, Any]) -> str:
-    result = await session.call_tool(name, arguments)
-    chunks = [block.text for block in result.content if getattr(block, "type", None) == "text"]
-    return "\n".join(chunks)
-
-
-async def _drive(url: str) -> dict[str, Any]:
-    """Run the full client conversation and return observations."""
-    observations: dict[str, Any] = {}
-    async with (
-        streamable_http_client(url) as (read, write, _get_session_id),
-        ClientSession(read, write) as session,
-    ):
-        await session.initialize()
-
-        tools = await session.list_tools()
-        observations["tool_names"] = sorted(t.name for t in tools.tools)
-
-        observations["join_one"] = await _call_text(session, "door_join", {"player": "Brandr"})
-        observations["look_one_before"] = await _call_text(
-            session, "door_look", {"player": "Brandr"}
-        )
-
-    # A SECOND, independent session joins a second adventurer in the same world.
-    async with (
-        streamable_http_client(url) as (read, write, _get_session_id),
-        ClientSession(read, write) as session,
-    ):
-        await session.initialize()
-        # Place player two adjacent to player one so they share the view.
-        await _call_text(session, "door_join", {"player": "Sigrun"})
-        await _call_text(
-            session, "door_move", {"player": "Sigrun", "heading": "east", "distance": 1}
-        )
-
-    # Back as player one: the shared world now shows the other adventurer.
-    async with (
-        streamable_http_client(url) as (read, write, _get_session_id),
-        ClientSession(read, write) as session,
-    ):
-        await session.initialize()
-        observations["look_one_after"] = await _call_text(
-            session, "door_look", {"player": "Brandr"}
-        )
-        observations["rank"] = await _call_text(session, "door_rank", {"player": "Brandr"})
-
-    return observations
-
-
-def test_mcp_end_to_end(live_server: str) -> None:
-    obs = asyncio.run(_drive(live_server))
-
-    # All nine tools are advertised over the wire.
-    expected = {
-        "door_help",
-        "door_join",
-        "door_status",
-        "door_look",
-        "door_move",
-        "door_action",
-        "door_log",
-        "door_rank",
-        "door_bestow",
-    }
-    assert set(obs["tool_names"]) == expected
-
-    # The join + look frames are real ASCII map frames.
-    assert "@" in obs["join_one"]
-    look_before = obs["look_one_before"]
-    assert "@" in look_before
-    assert "┌" in look_before and "┐" in look_before
-
-    # Shared-world proof: after player two joins next door, player one sees '☻'.
-    assert "☻" in obs["look_one_after"]
-    # And the leaderboard lists both adventurers (one process, one world).
-    assert "Brandr" in obs["rank"]
-    assert "Sigrun" in obs["rank"]
-
-
-def _watch_base(mcp_url: str) -> str:
-    """Derive the app root (where /watch lives) from the /mcp endpoint URL."""
-    return mcp_url[: -len("/mcp")] if mcp_url.endswith("/mcp") else mcp_url
-
-
-async def _join_over_mcp(mcp_url: str, name: str) -> None:
-    """Sign one adventurer in over the real MCP wire (so state.json sees them)."""
-    async with (
-        streamable_http_client(mcp_url) as (read, write, _get_session_id),
-        ClientSession(read, write) as session,
-    ):
-        await session.initialize()
-        await _call_text(session, "door_join", {"player": name})
-
-
-def test_watch_routes_serve_world_state(live_server: str) -> None:
-    base = _watch_base(live_server)
-
-    # The MCP join writes the player into the shared world the routes read.
-    asyncio.run(_join_over_mcp(live_server, "Watcher"))
-
-    with httpx.Client(timeout=5.0) as client:
-        page = client.get(f"{base}/watch")
-        world = client.get(f"{base}/watch/world.json")
-        state = client.get(f"{base}/watch/state.json")
-
-    # The page is real HTML carrying the static masthead.
-    assert page.status_code == 200
-    assert page.headers["content-type"].startswith("text/html")
-    assert "Understone — Live Watch" in page.text
-
-    # The static world payload matches the loaded world.
-    assert world.status_code == 200
-    world_body = world.json()
-    assert world_body["width"] == 96
-    assert world_body["height"] == 48
-    assert len(world_body["glyph_rows"]) == world_body["height"]
-    assert all(len(row) == world_body["width"] for row in world_body["glyph_rows"])
-
-    # The live snapshot lists the adventurer who joined over MCP.
-    assert state.status_code == 200
-    state_body = state.json()
-    names = {p["name"] for p in state_body["players"]}
-    assert "Watcher" in names
-
-
-def test_watch_routes_coexist_with_mcp(live_server: str) -> None:
-    """The custom routes don't shadow /mcp: tool calls still work alongside them."""
-    base = _watch_base(live_server)
-
-    async def _drive_both() -> tuple[str, int]:
-        async with (
-            streamable_http_client(live_server) as (read, write, _get_session_id),
-            ClientSession(read, write) as session,
-        ):
-            await session.initialize()
-            joined = await _call_text(session, "door_join", {"player": "Coexist"})
-        with httpx.Client(timeout=5.0) as client:
-            status = client.get(f"{base}/watch/state.json").status_code
-        return joined, status
-
-    joined, watch_status = asyncio.run(_drive_both())
-    assert "@" in joined  # the MCP tool still returns a real frame
-    assert watch_status == 200  # and the watch route still answers
-
-
-def test_streamable_http_host_gate_off_localhost() -> None:
-    """A non-localhost bind must accept remote `Host` headers on /mcp.
-
-    REGRESSION: FastMCP freezes DNS-rebinding protection (a localhost-only Host
-    allowlist) at CONSTRUCTION, and ``server`` builds its FastMCP at import with
-    the default 127.0.0.1 host. A 0.0.0.0/LAN bind therefore answered TCP and
-    `/watch` but 421'd `/mcp` for every remote node ("Invalid Host header").
-    ``_serve`` drops the allowlist when bound off localhost; this pins the
-    mechanism — a default instance rejects a foreign Host, a protection-disabled
-    one accepts it (a 421 in the second case is the bug returning).
-
-    Uses fresh FastMCP instances (not the module singleton) so there is no
-    shared-state or app-cache coupling with the live-server tests above.
-    """
-    from mcp.server.fastmcp import FastMCP
-    from mcp.server.transport_security import TransportSecuritySettings
-    from starlette.testclient import TestClient
-
-    foreign = {
-        "Host": "192.168.0.239:8077",
-        "Accept": "application/json, text/event-stream",
-        "Content-Type": "application/json",
-    }
-    init = {
-        "jsonrpc": "2.0",
-        "id": 1,
-        "method": "initialize",
-        "params": {
-            "protocolVersion": "2025-03-26",
-            "capabilities": {},
-            "clientInfo": {"name": "probe", "version": "0"},
-        },
-    }
-
-    # Default (localhost-baked allowlist) — a remote Host is refused.
-    locked = FastMCP("hostgate-locked")
-    with TestClient(locked.streamable_http_app()) as client:
-        assert client.post("/mcp", headers=foreign, json=init).status_code == 421
-
-    # Protection disabled (what _serve does off localhost) — remote Host accepted.
-    opened = FastMCP("hostgate-open")
-    opened.settings.transport_security = TransportSecuritySettings(
-        enable_dns_rebinding_protection=False
-    )
-    with TestClient(opened.streamable_http_app()) as client:
-        resp = client.post("/mcp", headers=foreign, json=init)
-    assert resp.status_code != 421, f"remote Host still rejected: {resp.status_code} {resp.text}"

examples/door-game/tests/test_movement.py

@@ -1,336 +0,0 @@
-"""Movement resolution tests.
-
-Covers edge clipping on all four sides, blocking terrain, the two input
-forms (``"NNEE"`` vs heading+distance) and their equivalence, location
-entry flipping to MENU, the MAX_STEPS cap, and a stubbed always-encounter
-RNG interrupting a walk with a pending fight.
-"""
-
-from __future__ import annotations
-
-from tests.conftest import (
-    FOREST,
-    GRASS,
-    WALL,
-    WATER,
-    LocationDef,
-    Zone,
-    make_player,
-    make_world,
-)
-from understone.engine.models import Mode, WorldEvent
-from understone.engine.movement import MAX_STEPS, parse_directions, resolve_move
-from understone.engine.rng import GameRNG
-
-
-class _NeverRNG(GameRNG):
-    """An RNG whose chance() never fires (no wandering encounters)."""
-
-    def __init__(self) -> None:
-        super().__init__(seed=0)
-
-    def chance(self, probability: float) -> bool:  # noqa: ARG002
-        return False
-
-
-class _AlwaysRNG(GameRNG):
-    """An RNG whose chance() always fires (forces an encounter).
-
-    The seed still drives ``weighted_index``/``randint``, so different seeds
-    select different event rows while every encounter roll fires.
-    """
-
-    def __init__(self, seed: int = 0) -> None:
-        super().__init__(seed=seed)
-
-    def chance(self, probability: float) -> bool:  # noqa: ARG002
-        return True
-
-
-# ---------------------------------------------------------------------------
-# parse_directions
-# ---------------------------------------------------------------------------
-
-
-def test_parse_steps_string() -> None:
-    assert parse_directions("NNEE", "", 1) == ["N", "N", "E", "E"]
-
-
-def test_parse_heading_distance() -> None:
-    assert parse_directions("", "east", 3) == ["E", "E", "E"]
-
-
-def test_parse_clamps_to_max_steps() -> None:
-    assert parse_directions("NNNNNNNNNNNN", "", 1) == ["N"] * MAX_STEPS
-    assert parse_directions("", "north", 99) == ["N"] * MAX_STEPS
-
-
-def test_parse_rejects_unknown_direction() -> None:
-    try:
-        parse_directions("NQ", "", 1)
-    except ValueError as exc:
-        assert "Q" in str(exc)
-    else:  # pragma: no cover - failure path
-        raise AssertionError("expected ValueError")
-
-
-# ---------------------------------------------------------------------------
-# Edge clipping (all four sides)
-# ---------------------------------------------------------------------------
-
-
-def test_clip_north_edge() -> None:
-    world = make_world()
-    player = make_player(x=5, y=0)
-    result = resolve_move(world, player, _NeverRNG(), heading="north", distance=3)
-    assert player.y == 0
-    assert result.steps_taken == 0
-    assert result.blocked
-
-
-def test_clip_south_edge() -> None:
-    world = make_world()
-    player = make_player(x=5, y=10)
-    result = resolve_move(world, player, _NeverRNG(), heading="south", distance=3)
-    assert player.y == 10
-    assert result.blocked
-
-
-def test_clip_west_edge() -> None:
-    world = make_world()
-    player = make_player(x=0, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="west", distance=3)
-    assert player.x == 0
-    assert result.blocked
-
-
-def test_clip_east_edge() -> None:
-    world = make_world()
-    player = make_player(x=10, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="east", distance=3)
-    assert player.x == 10
-    assert result.blocked
-
-
-def test_partial_move_then_clip() -> None:
-    world = make_world()
-    player = make_player(x=8, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="east", distance=5)
-    # 8 -> 9 -> 10, then edge.
-    assert player.x == 10
-    assert result.steps_taken == 2
-    assert result.blocked
-
-
-# ---------------------------------------------------------------------------
-# Blocking terrain
-# ---------------------------------------------------------------------------
-
-
-def test_blocked_by_wall() -> None:
-    grid = [[GRASS for _ in range(11)] for _ in range(11)]
-    grid[5][6] = WALL
-    world = make_world(grid=grid)
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="east", distance=2)
-    assert player.x == 5
-    assert result.blocked
-    assert "wall" in result.blocked_reason
-
-
-def test_blocked_by_water() -> None:
-    grid = [[GRASS for _ in range(11)] for _ in range(11)]
-    grid[4][5] = WATER
-    world = make_world(grid=grid)
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="north", distance=2)
-    assert player.y == 5
-    assert result.blocked
-    assert "water" in result.blocked_reason
-
-
-# ---------------------------------------------------------------------------
-# Input-form equivalence and direction correctness
-# ---------------------------------------------------------------------------
-
-
-def test_nnee_lands_at_expected_cell() -> None:
-    world = make_world()
-    player = make_player(x=5, y=5)
-    resolve_move(world, player, _NeverRNG(), steps="NNEE")
-    # Two north (y-2), two east (x+2).
-    assert (player.x, player.y) == (7, 3)
-
-
-def test_heading_equivalent_to_steps() -> None:
-    world_a = make_world()
-    player_a = make_player(x=5, y=5)
-    resolve_move(world_a, player_a, _NeverRNG(), steps="EEE")
-
-    world_b = make_world()
-    player_b = make_player(x=5, y=5)
-    resolve_move(world_b, player_b, _NeverRNG(), heading="east", distance=3)
-
-    assert (player_a.x, player_a.y) == (player_b.x, player_b.y)
-
-
-def test_max_steps_truncates_long_walk() -> None:
-    world = make_world(width=40, height=11)
-    player = make_player(x=0, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="east", distance=99)
-    assert result.steps_taken == MAX_STEPS
-    assert player.x == MAX_STEPS
-
-
-# ---------------------------------------------------------------------------
-# Location entry flips to MENU
-# ---------------------------------------------------------------------------
-
-
-def test_entering_location_flips_menu_mode() -> None:
-    loc = LocationDef(
-        key="inn",
-        kind="inn",
-        name="The Sleeping Drake",
-        x=7,
-        y=5,
-        glyph="I",
-        color="town",
-        actions=("rest", "leave"),
-    )
-    world = make_world(locations=[loc])
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _NeverRNG(), heading="east", distance=4)
-    assert player.mode is Mode.MENU
-    assert player.at_location == "inn"
-    assert result.entered_location == "inn"
-    # Stopped on the door at x=7 even though distance asked for 4.
-    assert (player.x, player.y) == (7, 5)
-
-
-# ---------------------------------------------------------------------------
-# Encounter interrupt
-# ---------------------------------------------------------------------------
-
-
-def test_always_encounter_stops_with_pending_fight() -> None:
-    grid = [[FOREST for _ in range(11)] for _ in range(11)]
-    zone = Zone(key="wood", x0=0, y0=0, x1=10, y1=10, tier_lo=1, tier_hi=2)
-    world = make_world(grid=grid, zones=[zone])
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=5)
-    assert result.pending_fight == (1, 2)
-    # The encounter fires on the first entered cell.
-    assert result.steps_taken == 1
-    assert player.x == 6
-
-
-def test_no_zone_means_no_encounter() -> None:
-    grid = [[FOREST for _ in range(11)] for _ in range(11)]
-    world = make_world(grid=grid, zones=[])
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=3)
-    assert result.pending_fight is None
-    assert result.steps_taken == 3
-
-
-# ---------------------------------------------------------------------------
-# Weighted non-combat overworld events (v0.2)
-# ---------------------------------------------------------------------------
-
-
-def _event_world(*events: WorldEvent) -> object:
-    """An all-forest, fully-zoned world carrying a crafted event table."""
-    grid = [[FOREST for _ in range(11)] for _ in range(11)]
-    zone = Zone(key="wood", x0=0, y0=0, x1=10, y1=10, tier_lo=1, tier_hi=2)
-    return make_world(grid=grid, zones=[zone], events=list(events))
-
-
-def test_event_fight_stops_the_walk() -> None:
-    """A fight-kind event sets pending_fight and halts the walk like v0.1."""
-    world = _event_world(WorldEvent("fight", 1, "", 0, 0))
-    player = make_player(x=5, y=5)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=5)
-    assert result.pending_fight == (1, 2)
-    assert result.event is None
-    assert result.steps_taken == 1  # stopped on the first triggering cell
-
-
-def test_event_gold_credits_and_continues() -> None:
-    """A gold event credits the rolled amount and does NOT stop the walk."""
-    world = _event_world(WorldEvent("gold", 1, "a coin-purse", 5, 5))
-    player = make_player(x=5, y=5, gold=10)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=3)
-    assert result.event is not None
-    assert result.event.kind == "gold"
-    assert result.event.amount == 5  # min == max == 5, so deterministic
-    assert player.gold == 15
-    assert result.pending_fight is None
-    assert result.steps_taken == 3  # the walk ran to completion
-
-
-def test_event_heal_caps_at_max_hp() -> None:
-    """A heal event never overfills: hp is clamped to max_hp."""
-    world = _event_world(WorldEvent("heal", 1, "a spring", 50, 50))
-    player = make_player(x=5, y=5, hp=18, max_hp=20)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=1)
-    assert player.hp == 20  # +50 requested, capped at the 2 missing
-    assert result.event is not None and result.event.amount == 2
-
-
-def test_event_trap_floors_hp_at_one_and_spares_gold() -> None:
-    """A trap event never kills (floors at 1 HP) and never touches gold."""
-    world = _event_world(WorldEvent("trap", 1, "old briars", 500, 500))
-    player = make_player(x=5, y=5, hp=10, max_hp=20, gold=42)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=1)
-    assert player.hp == 1  # huge trap, but floored
-    assert player.gold == 42  # gold untouched
-    assert result.event is not None and result.event.amount == 9  # only 9 could be taken
-
-
-def test_event_lore_mutates_nothing() -> None:
-    """A lore event changes no state and reports a zero amount."""
-    world = _event_world(WorldEvent("lore", 1, "an old waystone", 0, 0))
-    player = make_player(x=5, y=5, hp=15, max_hp=20, gold=7)
-    before = (player.hp, player.gold)
-    result = resolve_move(world, player, _AlwaysRNG(), heading="east", distance=2)
-    assert (player.hp, player.gold) == before
-    assert result.event is not None and result.event.kind == "lore"
-    assert result.event.amount == 0
-    assert result.steps_taken == 2
-
-
-def test_at_most_one_event_per_walk() -> None:
-    """Once any event fires, no further cells roll for the rest of the walk.
-
-    Two distinct gold rolls would credit 2 gold (1 each); a single fired event
-    credits exactly 1, proving the walk stops rolling after the first trigger.
-    """
-    world = _event_world(WorldEvent("gold", 1, "a coin", 1, 1))
-    player = make_player(x=5, y=5, gold=0)
-    resolve_move(world, player, _AlwaysRNG(), heading="east", distance=5)
-    assert player.gold == 1  # exactly one event, not five
-
-
-def test_each_event_kind_reachable_with_crafted_table() -> None:
-    """Equal weights make every kind in a crafted table reachable from movement."""
-    table = [
-        WorldEvent("fight", 1, "", 0, 0),
-        WorldEvent("gold", 1, "g", 1, 1),
-        WorldEvent("heal", 1, "h", 1, 1),
-        WorldEvent("trap", 1, "t", 1, 1),
-        WorldEvent("lore", 1, "l", 0, 0),
-    ]
-    zone = Zone(key="wood", x0=0, y0=0, x1=0, y1=0, tier_lo=1, tier_hi=2)
-    grid = [[FOREST for _ in range(11)] for _ in range(11)]
-    world = make_world(grid=grid, zones=[zone], events=table)
-
-    seen: set[str] = set()
-    for seed in range(60):
-        player = make_player(x=0, y=1, hp=10, max_hp=20)  # one step north into the zone cell
-        result = resolve_move(world, player, _AlwaysRNG(seed), steps="N")
-        if result.pending_fight is not None:
-            seen.add("fight")
-        elif result.event is not None:
-            seen.add(result.event.kind)
-    assert seen == {"fight", "gold", "heal", "trap", "lore"}

examples/door-game/tests/test_package.py

@@ -1,9 +0,0 @@
-"""Smoke test for the packaging skeleton."""
-
-from __future__ import annotations
-
-import understone
-
-
-def test_version_present() -> None:
-    assert understone.__version__ == "0.10.0"

examples/door-game/tests/test_persistence.py

@@ -1,269 +0,0 @@
-"""SQLite persistence tests.
-
-Covers idempotent schema init, a full player round-trip through every
-column (including ``def_``, ``turn_day``, ``log_cursor`` and the bestow
-fields), event append with cursor-based catch-up, leaderboard tie-breaks,
-and that WAL journaling is active.
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-from tests.conftest import make_player
-from understone.engine.log import since
-from understone.engine.models import Mode
-from understone.persistence import Store
-
-if TYPE_CHECKING:
-    from pathlib import Path
-
-
-def _store(tmp_path: Path) -> Store:
-    return Store(tmp_path / "understone.db")
-
-
-def test_schema_init_is_idempotent(tmp_path: Path) -> None:
-    db = tmp_path / "understone.db"
-    Store(db).close()
-    # Re-opening the same file must not error or duplicate schema.
-    second = Store(db)
-    assert second.get_meta("schema_version") == "1"
-    second.close()
-
-
-def test_wal_mode_active(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    assert store.journal_mode().lower() == "wal"
-    store.close()
-
-
-def test_player_round_trip_all_columns(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    player = make_player(
-        name="Brandr",
-        x=12,
-        y=7,
-        hp=18,
-        max_hp=26,
-        level=3,
-        xp=305,
-        gold=88,
-        atk=9,
-        def_=4,
-        weapon_id="short_sword",
-        armor_id="leather_armor",
-        turns_left=6,
-        turn_day=739_400,
-        mode=Mode.MENU,
-        at_location="inn",
-        log_cursor=42,
-        bestow_spent=15,
-        bestow_day=739_400,
-        posts_sent=3,
-        post_day=739_400,
-        gambles=2,
-        gamble_day=739_400,
-        banked=420,
-    )
-    store.upsert_player(player)
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    players, _ = reopened.load_all()
-    loaded = players["Brandr"]
-    assert loaded == player
-    assert loaded.banked == 420
-    # Spot-check the fields most prone to silent drop.
-    assert loaded.def_ == 4
-    assert loaded.turn_day == 739_400
-    assert loaded.log_cursor == 42
-    assert loaded.bestow_spent == 15
-    assert loaded.bestow_day == 739_400
-    assert loaded.mode is Mode.MENU
-    # The v0.5 social columns survive the round-trip too.
-    assert loaded.posts_sent == 3
-    assert loaded.post_day == 739_400
-    assert loaded.gambles == 2
-    assert loaded.gamble_day == 739_400
-    reopened.close()
-
-
-def test_event_target_round_trips(tmp_path: Path) -> None:
-    """A targeted (private) event keeps its target across a reopen; public is ''."""
-    store = _store(tmp_path)
-    pub = store.insert_event("t1", "Brandr", "join", "set out")
-    priv = store.insert_event("t2", "Sigrun", "ambushed", "robbed in your sleep", "Brandr")
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    _, events = reopened.load_all()
-    by_id = {e.event_id: e for e in events}
-    assert by_id[pub].target == ""  # public stays empty
-    assert by_id[priv].target == "Brandr"  # private keeps its recipient
-    reopened.close()
-
-
-def test_ambush_table_per_day_uniqueness(tmp_path: Path) -> None:
-    """The ambushes PK is (attacker, target, day): one row per pair per day."""
-    store = _store(tmp_path)
-    day = 739_400
-    assert store.has_ambushed("Brandr", "Sigrun", day) is False
-    store.record_ambush("Brandr", "Sigrun", day)
-    store.commit()
-    assert store.has_ambushed("Brandr", "Sigrun", day) is True
-    # A second record for the same pair/day is a no-op (INSERT OR IGNORE):
-    # the duplicate must not raise and must not add a row.
-    store.record_ambush("Brandr", "Sigrun", day)
-    store.commit()
-    rows = store._conn.execute(
-        "SELECT COUNT(*) AS n FROM ambushes WHERE attacker=? AND target=? AND day=?",
-        ("Brandr", "Sigrun", day),
-    ).fetchone()
-    assert rows["n"] == 1
-    # A new day is a fresh attempt; the old day stays recorded.
-    assert store.has_ambushed("Brandr", "Sigrun", day + 1) is False
-    store.record_ambush("Brandr", "Sigrun", day + 1)
-    store.commit()
-    assert store.has_ambushed("Brandr", "Sigrun", day) is True
-    assert store.has_ambushed("Brandr", "Sigrun", day + 1) is True
-    store.close()
-
-
-def test_upsert_updates_existing_row(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    player = make_player(name="Sigrun", gold=10)
-    store.upsert_player(player)
-    store.commit()
-    player.gold = 999
-    store.upsert_player(player)
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    players, _ = reopened.load_all()
-    assert players["Sigrun"].gold == 999
-    assert len(players) == 1
-    reopened.close()
-
-
-def test_event_append_and_since_cursor(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    id1 = store.insert_event("t1", "Brandr", "fight", "slew a rat")
-    id2 = store.insert_event("t2", "Sigrun", "bestow", "blessed with gold")
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    _, events = reopened.load_all()
-    assert [e.event_id for e in events] == [id1, id2]
-
-    # Catch up from a cursor before both, then advance past the first.
-    fresh, cursor = since(events, 0)
-    assert len(fresh) == 2
-    assert cursor == id2
-
-    after_first, cursor2 = since(events, id1)
-    assert [e.event_id for e in after_first] == [id2]
-    assert cursor2 == id2
-
-    nothing, cursor3 = since(events, id2)
-    assert nothing == []
-    assert cursor3 == id2
-    reopened.close()
-
-
-def test_top_ranks_tie_breaks(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    # Same level: higher XP ranks first; equal XP breaks by name ascending.
-    store.upsert_player(make_player(name="Carol", level=5, xp=1200, gold=10))
-    store.upsert_player(make_player(name="Alice", level=5, xp=1500, gold=10))
-    store.upsert_player(make_player(name="Bob", level=5, xp=1500, gold=10))
-    store.upsert_player(make_player(name="Dave", level=4, xp=9999, gold=10))
-    store.commit()
-
-    ranks = store.top_ranks(limit=10)
-    assert [r.name for r in ranks] == ["Alice", "Bob", "Carol", "Dave"]
-    store.close()
-
-
-def test_top_ranks_honours_limit(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    for i in range(15):
-        store.upsert_player(make_player(name=f"P{i:02d}", level=i, xp=i * 10))
-    store.commit()
-    ranks = store.top_ranks(limit=10)
-    assert len(ranks) == 10
-    # Highest level first.
-    assert ranks[0].name == "P14"
-    store.close()
-
-
-def test_meta_round_trip(tmp_path: Path) -> None:
-    store = _store(tmp_path)
-    store.set_meta("world_name", "The Vale of Understone")
-    assert store.get_meta("world_name") == "The Vale of Understone"
-    assert store.get_meta("missing") is None
-    store.close()
-
-
-def test_retention_columns_round_trip(tmp_path: Path) -> None:
-    """The retention columns survive a reopen: depth, the v0.10 stack-encoded
-    satchel, the two forged plusses, and the v0.10 banked vault gold."""
-    store = _store(tmp_path)
-    player = make_player(
-        name="Delver",
-        deepest_rung=2,
-        satchel="minor_potion:3,iron_ore:5",  # v0.10 "id:qty" stack encoding
-        weapon_plus=2,
-        armor_plus=1,
-        banked=300,
-    )
-    store.upsert_player(player)
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    players, _ = reopened.load_all()
-    loaded = players["Delver"]
-    assert loaded == player  # full equality across every column
-    assert loaded.deepest_rung == 2
-    assert loaded.satchel == "minor_potion:3,iron_ore:5"
-    assert loaded.weapon_plus == 2
-    assert loaded.armor_plus == 1
-    assert loaded.banked == 300
-    reopened.close()
-
-
-def test_v0_7_depth_columns_default_for_legacy_rows(tmp_path: Path) -> None:
-    """A row written without the new columns loads them at their defaults.
-
-    The schema mutates in place (no migration, stamp stays 1), so the new
-    columns carry DB-side defaults: a pre-v0.7 player row (inserted with the
-    legacy column set) must read back deepest_rung 0, an empty satchel, and
-    zero plusses rather than erroring.
-    """
-    store = _store(tmp_path)
-    store._conn.execute(
-        "INSERT INTO players "
-        "(name, x, y, hp, max_hp, level, xp, gold, atk, def_, weapon_id, armor_id, "
-        " turns_left, turn_day, mode, at_location, created_at, last_seen, log_cursor, "
-        " bestow_spent, bestow_day) "
-        "VALUES ('Old', 5, 5, 20, 20, 1, 0, 20, 5, 1, 'rusty_dagger', 'cloth_tunic', "
-        " 10, 0, 'tile', '', 't0', 't0', 0, 0, 0)",
-    )
-    store.commit()
-    store.close()
-
-    reopened = _store(tmp_path)
-    players, _ = reopened.load_all()
-    old = players["Old"]
-    assert old.deepest_rung == 0
-    assert old.satchel == ""
-    assert old.weapon_plus == 0
-    assert old.armor_plus == 0
-    assert old.banked == 0  # the v0.10 vault column defaults too
-    assert reopened.get_meta("schema_version") == "1"  # stamp unchanged
-    reopened.close()

examples/door-game/tests/test_rng.py

@@ -1,47 +0,0 @@
-"""GameRNG tests — the deterministic randomness seam.
-
-Covers the v0.2 ``weighted_index`` helper: that a fixed seed reproduces the
-same stream, that the cumulative-sum mapping honours the weights' proportions,
-and that every index of a crafted table is reachable.
-"""
-
-from __future__ import annotations
-
-from collections import Counter
-
-from understone.engine.rng import GameRNG
-
-
-def test_weighted_index_is_deterministic_under_seed() -> None:
-    """Two RNGs at the same seed yield the identical weighted-index stream."""
-    weights = [55, 8, 7, 5, 5, 5, 5, 3, 3, 4]
-    a = GameRNG(seed=2026)
-    b = GameRNG(seed=2026)
-    draws_a = [a.weighted_index(weights) for _ in range(50)]
-    draws_b = [b.weighted_index(weights) for _ in range(50)]
-    assert draws_a == draws_b
-
-
-def test_weighted_index_every_index_reachable() -> None:
-    """With equal weights, a crafted table sees every index appear."""
-    weights = [1, 1, 1, 1, 1]
-    rng = GameRNG(seed=7)
-    seen = {rng.weighted_index(weights) for _ in range(500)}
-    assert seen == set(range(len(weights)))
-
-
-def test_weighted_index_single_entry_always_zero() -> None:
-    """A one-row table can only ever pick index 0."""
-    rng = GameRNG(seed=1)
-    assert all(rng.weighted_index([9]) == 0 for _ in range(20))
-
-
-def test_weighted_index_respects_proportions() -> None:
-    """A heavily-weighted index dominates the empirical distribution."""
-    weights = [90, 5, 5]
-    rng = GameRNG(seed=99)
-    counts = Counter(rng.weighted_index(weights) for _ in range(4000))
-    # Index 0 carries 90% of the mass; it must be by far the most common.
-    assert counts[0] > counts[1] + counts[2]
-    # And the rare indices still occur (no off-by-one swallowing the tail).
-    assert counts[1] > 0 and counts[2] > 0

examples/door-game/tests/test_satchel.py

@@ -1,63 +0,0 @@
-"""The satchel "id:qty" wire codec (understone.engine.satchel).
-
-Pins the single-source codec the game façade, the Watch payload, and the
-balance simulator all decode through. The format is comma-joined ``id:qty``
-stacks; this proves a clean round-trip, the defensive bare-id => qty-1 rule, the
-malformed/zero/empty fragments that are skipped, and that the encoder never
-emits a zero-or-negative stack.
-"""
-
-from __future__ import annotations
-
-import pytest
-
-from understone.engine.satchel import decode_satchel, encode_satchel
-
-
-def test_round_trips_id_qty_stacks() -> None:
-    """The canonical "id:qty,id:qty" data decodes and re-encodes unchanged."""
-    encoded = "minor_potion:3,iron_ore:5"
-    stacks = decode_satchel(encoded)
-    assert stacks == [("minor_potion", 3), ("iron_ore", 5)]
-    assert encode_satchel(stacks) == encoded
-
-
-def test_bare_id_decodes_as_qty_one() -> None:
-    """A colonless chunk is a single item (defensive — never silently dropped)."""
-    assert decode_satchel("minor_potion") == [("minor_potion", 1)]
-    # Mixed with a normal stack, order preserved.
-    assert decode_satchel("minor_potion,iron_ore:5") == [
-        ("minor_potion", 1),
-        ("iron_ore", 5),
-    ]
-
-
-@pytest.mark.parametrize(
-    ("encoded", "reason"),
-    [
-        ("id:0", "zero quantity"),
-        ("id:-1", "negative quantity"),
-        ("id:abc", "non-integer quantity"),
-        (":5", "empty id"),
-        ("", "empty string"),
-        ("minor_potion:3,", "trailing comma yields an empty chunk"),
-        (",minor_potion:3", "leading comma yields an empty chunk"),
-    ],
-)
-def test_skips_malformed_or_zero_fragments(encoded: str, reason: str) -> None:
-    """A present-but-invalid or non-positive fragment is skipped; valid ones survive."""
-    stacks = decode_satchel(encoded)
-    assert all(item_id and qty > 0 for item_id, qty in stacks), reason
-    # The only valid stack in the trailing/leading-comma cases is the potion.
-    if "minor_potion:3" in encoded:
-        assert stacks == [("minor_potion", 3)]
-    else:
-        assert stacks == []
-
-
-def test_encode_drops_non_positive_stacks() -> None:
-    """The encoder never emits "id:0" or a negative quantity."""
-    assert encode_satchel([("minor_potion", 0)]) == ""
-    assert encode_satchel([("minor_potion", -2)]) == ""
-    assert encode_satchel([("minor_potion", 2), ("iron_ore", 0)]) == "minor_potion:2"
-    assert encode_satchel([]) == ""

examples/door-game/tests/test_screen.py

@@ -1,169 +0,0 @@
-"""Screen-layer tests: viewport maths, frame rendering, menu rendering.
-
-Golden discipline: the golden files under ``tests/golden`` are authored by
-hand (correct borders/centring, eyeballed) and are NOT machine-dumped
-renderer output. Every golden comparison is paired with structural asserts
-that hold independent of the exact golden bytes, so a renderer regression
-that happens to match a stale golden still trips a structural check.
-"""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-from understone.screen.grid import Cell, CellGrid
-from understone.screen.menus import render_menu
-from understone.screen.palette import Color
-from understone.screen.text_renderer import render_frame
-from understone.screen.viewport import compute_window
-
-GOLDEN = Path(__file__).parent / "golden"
-
-
-# ---------------------------------------------------------------------------
-# viewport.compute_window
-# ---------------------------------------------------------------------------
-
-
-def test_window_centers_when_interior() -> None:
-    # 100x100 map, 48x16 view, focus at (50, 50): centred.
-    x0, y0 = compute_window(100, 100, 48, 16, 50, 50)
-    assert x0 == 50 - 48 // 2
-    assert y0 == 50 - 16 // 2
-
-
-def test_window_clamps_nw_corner() -> None:
-    x0, y0 = compute_window(100, 100, 48, 16, 0, 0)
-    assert (x0, y0) == (0, 0)
-
-
-def test_window_clamps_ne_corner() -> None:
-    x0, y0 = compute_window(100, 100, 48, 16, 99, 0)
-    assert x0 == 100 - 48
-    assert y0 == 0
-
-
-def test_window_clamps_sw_corner() -> None:
-    x0, y0 = compute_window(100, 100, 48, 16, 0, 99)
-    assert x0 == 0
-    assert y0 == 100 - 16
-
-
-def test_window_clamps_se_corner() -> None:
-    x0, y0 = compute_window(100, 100, 48, 16, 99, 99)
-    assert x0 == 100 - 48
-    assert y0 == 100 - 16
-
-
-def test_window_view_larger_than_map_pins_origin() -> None:
-    x0, y0 = compute_window(10, 8, 48, 16, 5, 4)
-    assert (x0, y0) == (0, 0)
-
-
-# ---------------------------------------------------------------------------
-# Shared small-grid builders for the golden frames
-# ---------------------------------------------------------------------------
-
-_FLOOR = Cell(".", Color.FLOOR)
-_PLAYER = Cell("@", Color.PLAYER)
-
-
-def _floor_grid(rows: int, cols: int) -> CellGrid:
-    grid = CellGrid(rows, cols)
-    for r in range(rows):
-        for c in range(cols):
-            grid.set(r, c, _FLOOR)
-    return grid
-
-
-def _spawn_grid() -> CellGrid:
-    """9x5 floor with the player centred at (row 2, col 4)."""
-    grid = _floor_grid(5, 9)
-    grid.set(2, 4, _PLAYER)
-    return grid
-
-
-def _edge_nw_grid() -> CellGrid:
-    """9x5 floor with the player pinned to the NW corner (row 0, col 0)."""
-    grid = _floor_grid(5, 9)
-    grid.set(0, 0, _PLAYER)
-    return grid
-
-
-# ---------------------------------------------------------------------------
-# text_renderer.render_frame
-# ---------------------------------------------------------------------------
-
-
-def test_render_frame_matches_golden_spawn() -> None:
-    frame = render_frame(_spawn_grid(), title="Vale", status="[ status ]")
-    expected = (GOLDEN / "viewport_spawn.txt").read_text(encoding="utf-8")
-    assert frame == expected.rstrip("\n")
-
-
-def test_render_frame_matches_golden_edge_nw() -> None:
-    frame = render_frame(_edge_nw_grid(), title="Vale", status="[ status ]")
-    expected = (GOLDEN / "viewport_edge_nw.txt").read_text(encoding="utf-8")
-    assert frame == expected.rstrip("\n")
-
-
-def test_render_frame_structural_invariants() -> None:
-    frame = render_frame(_spawn_grid(), title="Vale", status="[ status ]")
-    lines = frame.split("\n")
-    # Top border, 5 grid rows, bottom border, status = 8 lines.
-    assert len(lines) == 8
-    # Title substring lives in the top border.
-    assert "Vale" in lines[0]
-    # Uniform width across the box (top border through bottom border).
-    box_lines = lines[:-1]
-    widths = {len(line) for line in box_lines}
-    assert len(widths) == 1, f"box rows ragged: {widths}"
-    # Exactly one '@' and it sits at the centre column of the interior.
-    body = lines[1:-2]
-    at_positions = [(r, line.index("@")) for r, line in enumerate(body) if "@" in line]
-    assert len(at_positions) == 1
-    _, col = at_positions[0]
-    # Interior centre: 1 (left border) + cols//2 = 1 + 4 = 5.
-    assert col == 1 + 9 // 2
-    # Status line is preserved verbatim as the last line.
-    assert lines[-1] == "[ status ]"
-
-
-def test_render_frame_under_size_budget() -> None:
-    grid = _floor_grid(16, 48)
-    grid.set(8, 24, _PLAYER)
-    frame = render_frame(grid, title="The Vale of Understone", status="[ a long status line here ]")
-    assert len(frame) < 2048
-
-
-# ---------------------------------------------------------------------------
-# menus.render_menu
-# ---------------------------------------------------------------------------
-
-
-def test_render_menu_matches_golden_inn() -> None:
-    menu = render_menu(
-        "The Sleeping Drake",
-        ["A warm hearth crackles.", "A bed costs 15 gold."],
-        ["(R)est", "(L)eave"],
-        "[ status ]",
-    )
-    expected = (GOLDEN / "menu_inn.txt").read_text(encoding="utf-8")
-    assert menu == expected.rstrip("\n")
-
-
-def test_render_menu_structural_invariants() -> None:
-    menu = render_menu(
-        "The Sleeping Drake",
-        ["A warm hearth crackles.", "A bed costs 15 gold."],
-        ["(R)est", "(L)eave"],
-        "[ status ]",
-    )
-    lines = menu.split("\n")
-    assert "The Sleeping Drake" in lines[0]
-    assert lines[-1] == "[ status ]"
-    box = lines[:-1]
-    widths = {len(line) for line in box}
-    assert len(widths) == 1, f"menu box ragged: {widths}"
-    # Option line is present inside the body.
-    assert any("(R)est" in line and "(L)eave" in line for line in lines)

examples/door-game/tests/test_sim.py

@@ -1,306 +0,0 @@
-"""Tests for the balance instrument (the greedy bot simulator).
-
-These run the REAL game façade end-to-end, so they double as the fiercest
-integration test in the suite: determinism (same inputs → identical report),
-that the greedy bot makes genuine progress over a Vale run, that its realized
-fight share lands in a sane band, that a multi-seed sweep aggregates and the
-report renders — and the single best end-to-end assertion, that a short seed
-sweep actually SLAYS THE WYRM, proving the whole v0.1–v0.7 loop is winnable by
-an unclever bot.
-"""
-
-from __future__ import annotations
-
-from io import StringIO
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-from understone import sim
-from understone.engine.models import LocationDef, Mode, Zone
-from understone.engine.rng import GameRNG
-from understone.game import Game
-from understone.persistence import Store
-from understone.sim import BalanceReport, simulate
-
-from .conftest import make_monster, make_world
-
-if TYPE_CHECKING:
-    import pytest
-
-PACK = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-
-# ---------------------------------------------------------------------------
-# determinism
-# ---------------------------------------------------------------------------
-
-
-def test_same_inputs_give_identical_report() -> None:
-    """Same (pack, days, seed) → byte-identical BalanceReport (frozen + seeded)."""
-    a = simulate(PACK, 20, 5)
-    b = simulate(PACK, 20, 5)
-    assert a == b
-    assert isinstance(a, BalanceReport)
-
-
-def test_different_seeds_diverge() -> None:
-    """Different seeds produce different runs (the RNG actually threads through)."""
-    a = simulate(PACK, 20, 1)
-    b = simulate(PACK, 20, 2)
-    # The runs are not identical (some headline measure differs).
-    assert (a.fights_fought, a.total_gold_earned, a.day_of_first_wyrm_kill) != (
-        b.fights_fought,
-        b.total_gold_earned,
-        b.day_of_first_wyrm_kill,
-    )
-
-
-# ---------------------------------------------------------------------------
-# progress
-# ---------------------------------------------------------------------------
-
-
-def test_bot_makes_progress_over_thirty_days() -> None:
-    """A 30-day Vale run climbs past level 1 and actually fights."""
-    r = simulate(PACK, 30, 1)
-    assert r.final_level > 1
-    assert r.fights_fought > 0
-    assert r.total_gold_earned > 0
-    # It also plumbs the deep — the rung ladder is reachable for a geared bot.
-    assert r.rungs_cleared > 0
-
-
-def test_realized_fight_share_in_sane_band() -> None:
-    """The bot's fight share is a real fraction and forest-fight dominant.
-
-    A greedy XP grinder spends most of its turns fighting the wood (the rest are
-    the handful of descents and the Wyrm bout), so the share is high — but it is
-    a genuine fraction in (0, 1], never a degenerate 0 or a value out of range.
-    """
-    r = simulate(PACK, 30, 3)
-    assert 0.0 < r.realized_fight_share <= 1.0
-    # Fights dominate the turn-spend, but descents/challenges exist too, so the
-    # share is below a hard 1.0 floor only loosely — assert the sane half-band.
-    assert r.realized_fight_share >= 0.5
-
-
-# ---------------------------------------------------------------------------
-# reporting & sweep
-# ---------------------------------------------------------------------------
-
-
-def test_report_renders_without_crashing() -> None:
-    r = simulate(PACK, 15, 1)
-    text = sim._render_report("The Vale of Understone", r)
-    assert "greedy bot" in text
-    assert "final level" in text
-    assert "Wyrm slain" in text
-
-
-def test_cli_simulate_single_seed_renders(tmp_path: Path) -> None:
-    out = StringIO()
-    rc = sim.cli_simulate(PACK, 15, 1, out=out)
-    assert rc == 0
-    assert "The Vale of Understone" in out.getvalue()
-    assert "fight share" in out.getvalue()
-
-
-def test_cli_simulate_sweep_aggregates() -> None:
-    """A --seeds sweep prints per-seed lines plus an aggregate with spreads."""
-    out = StringIO()
-    rc = sim.cli_simulate(PACK, 20, 1, out=out, seeds=3)
-    assert rc == 0
-    text = out.getvalue()
-    assert "3 seeds" in text
-    assert "aggregate" in text
-    # Per-seed lines for each of the three seeds.
-    for seed in (1, 2, 3):
-        assert f"seed {seed:>3}" in text or f"seed   {seed}" in text
-    # The aggregate carries a mean [min..max] spread.
-    assert "[" in text and "]" in text
-
-
-def test_sweep_reports_are_each_deterministic() -> None:
-    """Each seed in a sweep is independently reproducible by single simulate."""
-    seed = 4
-    swept = simulate(PACK, 20, seed)
-    again = simulate(PACK, 20, seed)
-    assert swept == again
-
-
-# ---------------------------------------------------------------------------
-# the load-bearing assertion: the world is winnable
-# ---------------------------------------------------------------------------
-
-
-def test_greedy_bot_slays_the_wyrm() -> None:
-    """The single best end-to-end check: a short seed sweep KILLS THE WYRM.
-
-    If a greedy, unclever bot can take the Wyrm Below playing through the real
-    façade, then the whole authored loop — movement, the zone-banded forest, the
-    economy, the rung ladder, the satchel death-save, the forge, and the endgame
-    gate — composes into a *winnable* game. A run that ever stops winning trips
-    here. A small sweep (not one lucky seed) so the proof is robust.
-    """
-    reports = [simulate(PACK, 40, seed) for seed in (1, 2, 3)]
-    kills = [r for r in reports if r.wyrm_killed]
-    assert kills, "the greedy bot never slew the Wyrm across the seed sweep"
-    # Every kill records the day it first happened, within the run window.
-    for r in kills:
-        assert r.day_of_first_wyrm_kill is not None
-        assert 1 <= r.day_of_first_wyrm_kill <= 40
-
-
-# ---------------------------------------------------------------------------
-# the bundled ALTERNATE world: The Cinder Wastes (LLM-authored from the manual)
-#
-# The Vale assertions above are the primary proof. These mirror them against the
-# real bundled second world, so the dogfood pack — authored cold from AUTHORING.md
-# — is held to the same bar: the bot must make genuine progress through it, and a
-# short seed sweep must actually slay its Magma Wyrm. If the authored world ever
-# stops being winnable, this trips.
-# ---------------------------------------------------------------------------
-
-CINDER = Path(__file__).resolve().parents[1] / "understone" / "world" / "packs" / "cinder-wastes"
-
-
-def test_cinder_wastes_bot_makes_progress() -> None:
-    """A short Cinder Wastes run climbs past level 1 and genuinely plays.
-
-    Fifteen days lands before the bot's first Wyrm kill (~day 24), so the level
-    is still climbing rather than reset post-win — a stable "the world plays"
-    signal across the durable measures (level, fights, gold, the rung ladder).
-    """
-    r = simulate(CINDER, 15, 1)
-    assert r.final_level > 1
-    assert r.fights_fought > 0
-    assert r.total_gold_earned > 0
-    assert r.rungs_cleared > 0  # the caldera rung ladder is reachable
-
-
-def test_cinder_wastes_is_winnable() -> None:
-    """The dogfood proof: a greedy bot SLAYS THE MAGMA WYRM in the authored world.
-
-    The Cinder Wastes was written by an LLM working only from AUTHORING.md and
-    the validator. This is the end-to-end demonstration that the manual plus the
-    loader produce not merely a *valid* pack but a *playable-to-victory* one — a
-    short seed sweep takes the Magma Wyrm. (It is harder than the Vale: the kill
-    lands later, so the window is wider than the Vale's.)
-    """
-    reports = [simulate(CINDER, 50, seed) for seed in (1, 2, 3)]
-    kills = [r for r in reports if r.wyrm_killed]
-    assert kills, "the greedy bot never slew the Magma Wyrm across the seed sweep"
-    for r in kills:
-        assert r.day_of_first_wyrm_kill is not None
-        assert 1 <= r.day_of_first_wyrm_kill <= 50
-
-
-# ---------------------------------------------------------------------------
-# robustness on non-shipped pack shapes: location doors inside hunt zones
-#
-# The bot runs arbitrary authored packs, not just the two bundled worlds, so a
-# zone may overlap a location door. A door cell is "walkable" (you can step onto
-# it) but standing on it flips the bot into that location's MENU — useless ground
-# for a forest fight, and a "fight" issued from a MENU is rejected by the engine
-# WITHOUT spending a turn. These pin the two guards that keep that from spinning
-# the per-day loop or over-counting fights.
-# ---------------------------------------------------------------------------
-
-
-def _door(x: int, y: int) -> LocationDef:
-    """A bare location door placed at ``(x, y)`` (an inn, for concreteness)."""
-    return LocationDef(
-        key="inn",
-        kind="inn",
-        name="Wayhouse",
-        x=x,
-        y=y,
-        glyph="⌂",
-        color="town",
-        actions=("rest", "leave"),
-    )
-
-
-def test_nearest_in_zone_skips_a_door_cell() -> None:
-    """A door is never returned as a zone's hunt cell, even when it is nearest.
-
-    The zone here spans a column running away from the spawn; its closest-to-spawn
-    walkable cell IS a location door, with open ground one step further. The
-    helper must skip the door (it would only trap the bot in a menu) and return
-    the open cell beyond it — the FIX-2 filter, mirroring ``_adjacent_open``.
-    """
-    # 11x11 grass; spawn (5, 5). A door at (5, 6) is the nearest cell inside the
-    # zone (Manhattan 1); the nearest OPEN in-zone cell is (5, 7) (Manhattan 2).
-    world = make_world(
-        locations=[_door(5, 6)],
-        zones=[Zone(key="wood", x0=5, y0=6, x1=5, y1=9, tier_lo=1, tier_hi=1)],
-    )
-    walkable = sim._reachable(world)
-    assert (5, 6) in walkable  # the door cell is walkable...
-    cell = sim._nearest_in_zone(world, walkable, world.zones[0])
-    assert cell is not None
-    assert cell != (5, 6)  # ...but the helper does not pick it
-    assert world.location_at(*cell) is None  # the returned cell is open ground
-    assert cell == (5, 7)  # the nearest open in-zone cell beyond the door
-
-
-def test_zone_hunt_spots_drops_a_zone_with_no_fightable_foe() -> None:
-    """A zone whose tier band holds no foe is dropped, not appended with None.
-
-    FIX-4: the fallback in ``_best_hunt_spot`` (``ranked[-1]``) must never land on
-    a zone where no monster can roll. A zone banded to a tier with no monster is
-    simply not a hunting ground, so it never enters the spot list.
-    """
-    # One zone banded to tier 9 (no monster lives there); the only monster is a
-    # tier-1 rat. The empty-band zone must be dropped entirely.
-    world = make_world(
-        monsters=[make_monster(tier=1)],
-        zones=[Zone(key="void", x0=4, y0=4, x1=6, y1=6, tier_lo=9, tier_hi=9)],
-    )
-    spots = sim._zone_hunt_spots(world, sim._reachable(world))
-    assert spots == []  # the foe-less zone is not a spot
-
-
-def test_hunt_yields_the_turn_when_stuck_in_a_menu(
-    monkeypatch: pytest.MonkeyPatch, tmp_path: Path
-) -> None:
-    """A hunt that ends in a MENU yields the turn instead of over-counting.
-
-    The defence-in-depth for FIX-1: should the bot ever reach the fight moment
-    still inside a location MENU (a door swallowed the walk), the engine would
-    REJECT the "fight" without spending a turn — and the old string-only check
-    misread that reject as a won bout, over-counting and spinning the loop. The
-    new mode pre-check must instead leave the menu and return False (yield), so no
-    phantom fight is recorded and the day loop makes honest progress.
-    """
-    # A door at (5, 4) inside a tier-1 zone. We inject this door cell as the hunt
-    # spot directly — the pre-FIX-2 state where a door WAS the nearest in-zone
-    # cell — so the guard, not the spot-selection filter, is what is under test.
-    world = make_world(
-        locations=[_door(5, 4)],
-        zones=[Zone(key="wood", x0=4, y0=3, x1=6, y1=5, tier_lo=1, tier_hi=1)],
-        monsters=[make_monster(tier=1)],
-    )
-    clock = sim._Clock(sim._SIM_START)
-    game = Game(world, Store(tmp_path / "g.db"), clock=clock, rng=GameRNG(seed=1))  # type: ignore[arg-type]
-    bot = sim._Bot(game, world, clock)
-    game.join(bot.name)
-    bot._hunt_spots = [(1, (5, 4), make_monster(tier=1))]
-    player = game.players[bot.name]
-
-    # Model "a location door swallowed the walk": every navigation step ends with
-    # the bot back inside the door's menu, so the hunt reaches its fight decision
-    # still in MENU mode no matter how many times it tries to step clear — exactly
-    # the trap the guard exists for (a single un-menu + re-walk cannot escape it).
-    def _walk_into_door(_goal: tuple[int, int]) -> None:
-        player.mode = Mode.MENU
-        player.at_location = "inn"
-
-    monkeypatch.setattr(bot, "_goto_xy", _walk_into_door)
-    _walk_into_door((5, 4))  # start the hunt already inside the menu
-
-    fought = bot._hunt()
-
-    assert fought is False  # the turn is yielded, not spent on a menu-reject
-    assert bot.fights_fought == 0  # no phantom fight recorded
-    assert game.players[bot.name].mode is Mode.TILE  # and the menu was left behind

examples/door-game/tests/test_social.py

@@ -1,862 +0,0 @@
-"""The v0.5 social slice — ambush (async PvP), inn mail, and inn dice.
-
-Drives the game façade over the shipped world with a frozen clock and a seeded
-RNG. Three feature areas:
-
-* AMBUSH — the full eligibility matrix (every refusal branch), the win path
-  (exact gold transfer, victim bounced to spawn at 1 HP, private mail visible
-  only to the victim, public news), the lose path (attacker bounced, no
-  transfer), the flee stalemate, per-day once-per-pair, and next-day retry.
-* MAIL — ``post`` delivers a private note to the target's log once, the sender
-  is confirmed, the daily cap refuses the overflow, the sanitizer rejects a
-  newline body, and the Watch state payload NEVER carries a targeted row.
-* DICE — win/lose/push under a seeded RNG, the bet band, affordability, the
-  daily cap (a push still counts), and the Herald firing only on a big win.
-
-Negative-test discipline (the SLEEP RULE has teeth):
-  ``test_sleep_rule_guard_has_teeth`` documents the revert-and-observe check.
-  Disabling the ``target.turn_day >= today`` clause in Game._ambush_refusal
-  let an ALREADY-AWAKE target be ambushed — ``test_ambush_refused_target_awake``
-  then failed (the attempt resolved instead of being refused). The clause was
-  restored; that refusal test is the standing regression for the invariant.
-"""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-import pytest
-
-from tests.conftest import fixed_clock, utc
-from understone.engine.models import Mode
-from understone.engine.rng import GameRNG
-from understone.game import Game
-from understone.persistence import Store
-from understone.watch import build_state_payload
-from understone.world.loader import load_world
-
-PACK = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-# The frozen "today" all these tests run on; the sleep rule keys off its ordinal.
-_NOW = utc(2026, 6, 12, 10, 0)
-_TODAY = _NOW.toordinal()
-
-
-@pytest.fixture
-def clock() -> object:
-    return fixed_clock(_NOW)
-
-
-def _game(tmp_path: Path, clock: object, seed: int = 7) -> Game:
-    world = load_world(PACK)
-    store = Store(tmp_path / "social.db")
-    return Game(world, store, clock=clock, rng=GameRNG(seed=seed))  # type: ignore[arg-type]
-
-
-def _arm_ambush(
-    game: Game,
-    *,
-    attacker_level: int = 5,
-    target_level: int = 5,
-    target_asleep: bool = True,
-    target_gold: int = 100,
-) -> tuple[object, object]:
-    """Join an attacker + target and tune their sheets for an ambush.
-
-    The attacker is overworld and seasoned; the target sits at *target_level*
-    with *target_gold*, and ``target_asleep`` controls the sleep rule (a
-    sleeping target has not acted today). Returns ``(attacker, target)``.
-    """
-    game.join("Raider")
-    game.join("Sleeper")
-    attacker = game.players["Raider"]
-    target = game.players["Sleeper"]
-    attacker.level = attacker_level
-    target.level = target_level
-    target.gold = target_gold
-    target.turn_day = _TODAY - 1 if target_asleep else _TODAY
-    return attacker, target
-
-
-# ---------------------------------------------------------------------------
-# Ambush — eligibility matrix (each refusal is a distinct in-fiction line)
-# ---------------------------------------------------------------------------
-
-
-def test_ambush_refused_unknown_target(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Raider")
-    game.players["Raider"].level = 5
-    out = game.action("Raider", "ambush", "Ghost", "")
-    assert "signed the ledger" in out  # the unknown-player refusal
-    # No turn spent on an unresolvable target.
-    assert game.players["Raider"].turns_left == game.world.settings.daily_turns
-
-
-def test_ambush_refused_self(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Raider")
-    game.players["Raider"].level = 5
-    out = game.action("Raider", "ambush", "Raider", "")
-    assert "yourself" in out.lower()
-
-
-def test_ambush_refused_young_attacker(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    floor = game.world.settings.ambush_min_level
-    _arm_ambush(game, attacker_level=floor - 1, target_level=floor + 1)
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "shields the young" in out
-    assert game.players["Raider"].turns_left == game.world.settings.daily_turns
-
-
-def test_ambush_refused_young_target(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    floor = game.world.settings.ambush_min_level
-    # Attacker is seasoned but the target is below the floor: still shielded.
-    _arm_ambush(game, attacker_level=floor + 1, target_level=floor - 1)
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "shields the young" in out
-
-
-def test_ambush_refused_out_of_band(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    band = game.world.settings.ambush_level_band
-    floor = game.world.settings.ambush_min_level
-    _arm_ambush(
-        game,
-        attacker_level=floor + band + 5,
-        target_level=floor,
-    )
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "far from your measure" in out
-
-
-def test_ambush_band_beats_awake_in_refusal_order(tmp_path: Path, clock: object) -> None:
-    """PRECEDENCE: the band gate is checked before the sleep rule.
-
-    A target who is BOTH out of band AND awake must report the band message,
-    not the watchful one — pinning the documented order (level gates before the
-    live-play sleep defence).
-    """
-    game = _game(tmp_path, clock)
-    band = game.world.settings.ambush_level_band
-    floor = game.world.settings.ambush_min_level
-    _arm_ambush(
-        game,
-        attacker_level=floor + band + 1,  # one past the band...
-        target_level=floor,
-        target_asleep=False,  # ...and also awake
-    )
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "far from your measure" in out  # the band gate wins
-    assert "watchful today" not in out
-
-
-def test_ambush_band_boundary_exact_is_allowed(tmp_path: Path, clock: object) -> None:
-    """Exactly ``ambush_level_band`` apart clears the band gate (it is inclusive).
-
-    Armed awake so the very next gate — the sleep rule — is what speaks: a
-    'watchful today' refusal proves the band gate let this pair through.
-    """
-    game = _game(tmp_path, clock)
-    band = game.world.settings.ambush_level_band
-    floor = game.world.settings.ambush_min_level
-    _arm_ambush(
-        game,
-        attacker_level=floor + band,  # exactly band levels above the floor
-        target_level=floor,
-        target_asleep=False,
-    )
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "far from your measure" not in out  # past the band gate
-    assert "watchful today" in out  # stopped by the next gate instead
-
-
-def test_ambush_band_boundary_one_over_is_refused(tmp_path: Path, clock: object) -> None:
-    """One level past ``ambush_level_band`` is refused with the band message."""
-    game = _game(tmp_path, clock)
-    band = game.world.settings.ambush_level_band
-    floor = game.world.settings.ambush_min_level
-    _arm_ambush(
-        game,
-        attacker_level=floor + band + 1,  # just over the band
-        target_level=floor,
-    )
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "far from your measure" in out
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is False
-
-
-def test_ambush_refused_target_awake(tmp_path: Path, clock: object) -> None:
-    """The SLEEP RULE: a target who has already acted today is un-ambushable.
-
-    See the module docstring for the revert-and-observe check proving this
-    refusal has teeth.
-    """
-    game = _game(tmp_path, clock)
-    _arm_ambush(game, target_asleep=False)
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "watchful today" in out
-    # Refused without resolving: no turn spent, no ambush recorded.
-    assert game.players["Raider"].turns_left == game.world.settings.daily_turns
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is False
-
-
-def test_ambush_refused_repeat_same_pair_same_day(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game)
-    # First attempt resolves (attacker overwhelming -> a clean win).
-    attacker.atk = 200
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-    # Re-arm the target as sleeping AND healed above 1 HP (so the mercy rule
-    # does not intercept first); the SAME pair is still barred for the day.
-    target.turn_day = _TODAY - 1
-    target.hp = 20
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "already lain in wait" in out
-
-
-def test_ambush_refused_pile_on_downed_victim(tmp_path: Path, clock: object) -> None:
-    """MERCY RULE: a second, DIFFERENT attacker cannot kick a just-bounced sleeper.
-
-    The first ambush leaves the victim at 1 HP (still asleep — being robbed does
-    not start their day). A fresh raider then finds them battered in the ditch;
-    even bandits have standards, so the pile-on is refused outright — no turn
-    spent, no pair-row written for the second attacker.
-    """
-    game = _game(tmp_path, clock)
-    first, target = _arm_ambush(game, target_gold=100)
-    first.atk = 200  # one-shot: leaves the victim at 1 HP
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-    assert target.hp == 1  # downed and still asleep
-
-    # A second, seasoned raider tries to finish the job.
-    game.join("Marauder")
-    second = game.players["Marauder"]
-    second.level = 5
-    turns_before = second.turns_left
-    out = game.action("Marauder", "ambush", "Sleeper", "")
-
-    assert "battered in the ditch" in out
-    # No turn spent and no attempt recorded for the second attacker.
-    assert second.turns_left == turns_before
-    assert game.store.has_ambushed("Marauder", "Sleeper", _TODAY) is False
-
-
-def test_ambush_healed_victim_is_ambushable_again(tmp_path: Path, clock: object) -> None:
-    """The mercy rule lifts once the victim mends: healed above 1 HP (and still
-    asleep), a fresh attacker may strike."""
-    game = _game(tmp_path, clock)
-    first, target = _arm_ambush(game, target_gold=100)
-    first.atk = 200
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-    assert target.hp == 1
-
-    # The victim is tended back above the floor (still asleep this day).
-    target.hp = 18
-    game.join("Marauder")
-    second = game.players["Marauder"]
-    second.level = 5
-    second.atk = 200  # one-shot again
-    out = game.action("Marauder", "ambush", "Sleeper", "")
-
-    assert "battered in the ditch" not in out
-    # The fresh ambush resolved: recorded, and the victim is bounced anew.
-    assert game.store.has_ambushed("Marauder", "Sleeper", _TODAY) is True
-    assert target.hp == 1
-
-
-def test_ambush_refused_zero_turns(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    attacker, _ = _arm_ambush(game)
-    attacker.turns_left = 0
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "spent for today" in out.lower()
-    # Eligible but exhausted: nothing recorded (the attempt never landed).
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is False
-
-
-# ---------------------------------------------------------------------------
-# Ambush — outcomes (win / lose / flee) and the records they leave
-# ---------------------------------------------------------------------------
-
-
-def test_ambush_win_transfers_gold_and_bounces_victim(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=100)
-    attacker.atk = 200  # one-shot the sleeper
-    target.hp = 5
-    pct = game.world.settings.ambush_gold_pct
-    steal = 100 * pct // 100  # 25 gold at the shipped 25%
-    raider_gold_before = attacker.gold
-
-    out = game.action("Raider", "ambush", "Sleeper", "")
-
-    # Exact transfer: attacker up by steal, victim down by the same.
-    assert attacker.gold == raider_gold_before + steal
-    assert target.gold == 100 - steal
-    # The victim wakes at the spawn at 1 HP, knocked out of any menu.
-    assert target.hp == 1
-    assert (target.x, target.y) == game.world.spawn
-    assert target.mode is Mode.TILE
-    assert target.at_location == ""
-    assert f"{steal} gold" in out
-    # The attempt is recorded.
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-
-
-def test_ambush_steals_only_carried_gold_not_the_vault(tmp_path: Path, clock: object) -> None:
-    """A winning ambush robs carried gold only — banked vault gold is untouched.
-
-    The steal is a slice of ``target.gold`` (gold in hand); the strongbox
-    (``banked``) is safe by design. This pins the vault's whole point: bank your
-    coin before you sleep and a sleeping-robber cannot lift it.
-    """
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=40)
-    target.banked = 1000  # a fat vault the raider must not be able to touch
-    attacker.atk = 200  # one-shot the sleeper
-    target.hp = 5
-    pct = game.world.settings.ambush_gold_pct
-    steal = 40 * pct // 100  # a slice of the CARRIED 40, not the banked 1000
-
-    game.action("Raider", "ambush", "Sleeper", "")
-
-    assert target.gold == 40 - steal  # carried gold robbed
-    assert target.banked == 1000  # the vault is wholly untouched
-    assert attacker.gold == game.world.settings.starting_gold + steal
-
-
-def test_ambush_win_applies_attacker_wear(tmp_path: Path, clock: object) -> None:
-    """A multi-round win banks the attacker's wear: the log narrates the
-    sleeper's counter-blows, so the sheet must show the HP they cost.
-
-    The one-shot win above leaves the attacker untouched, which would mask a
-    WIN branch that drops ``hp_delta`` on the floor. Here the sleeper is tanky
-    enough to trade blows before falling (and the attacker still wins), so the
-    attacker must end below full HP. Stats and seed are tuned so the win is
-    decisive but not instant.
-    """
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=100)
-    attacker.atk, attacker.def_ = 8, 2
-    attacker.hp = attacker.max_hp = 30
-    target.atk, target.def_, target.hp = 5, 1, 25
-
-    out = game.action("Raider", "ambush", "Sleeper", "")
-
-    # The win lands (victim robbed and bounced to 1 HP)...
-    assert target.hp == 1
-    assert (
-        any(crow in out for crow in ("made off", "robbed the sleeping", "lifted")) or "rob" in out
-    )
-    # ...but the sleeper's counter-blows cost the attacker real HP this time.
-    assert attacker.hp < attacker.max_hp
-    assert attacker.hp >= 1  # never below the floor
-
-
-def test_ambush_win_news_is_public_and_mail_is_private(tmp_path: Path, clock: object) -> None:
-    """The victory crows on the public feed; the victim gets a PRIVATE note.
-
-    A THIRD player must see the public ambush line but never the private one.
-    """
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=80)
-    attacker.atk = 200
-    target.hp = 5
-    game.join("Bystander")  # a third player who must never see the private note
-
-    game.action("Raider", "ambush", "Sleeper", "")
-
-    # The victim reads the private "While you slept" note in their own log.
-    victim_log = game.log("Sleeper")
-    assert "While you slept" in victim_log
-    assert "ambushed you" in victim_log
-
-    # The bystander sees the public crow but NOT the private note.
-    third_log = game.log("Bystander")
-    assert (
-        "made off with" in third_log
-        or "robbed the sleeping" in third_log
-        or ("lifted" in third_log)
-    )
-    assert "While you slept" not in third_log
-
-
-def test_ambush_win_on_pauper_steals_nothing_but_still_lands(tmp_path: Path, clock: object) -> None:
-    """A win over a penniless sleeper: steal is 0, but the beat still plays.
-
-    The victim is bounced to the spawn at 1 HP all the same, the public herald
-    crows the robbery, and the private 'while you slept' note still reaches the
-    victim — the gold transfer being empty changes none of that.
-    """
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=0)
-    attacker.atk = 200  # one-shot the sleeper
-    target.hp = 5
-    game.join("Bystander")
-    raider_gold_before = attacker.gold
-
-    out = game.action("Raider", "ambush", "Sleeper", "")
-
-    # Nothing to steal: both purses are unchanged by the transfer.
-    assert attacker.gold == raider_gold_before
-    assert target.gold == 0
-    assert "0 gold" in out
-    # The victim is still bounced to the spawn at 1 HP.
-    assert target.hp == 1
-    assert (target.x, target.y) == game.world.spawn
-    assert target.mode is Mode.TILE
-    assert target.at_location == ""
-
-    # Public herald fires (a bystander reads the crow)...
-    third_log = game.log("Bystander")
-    assert any(crow in third_log for crow in ("made off", "robbed the sleeping", "lifted"))
-    # ...and the private mail still reaches the victim.
-    victim_log = game.log("Sleeper")
-    assert "While you slept" in victim_log
-    assert "ambushed you" in victim_log
-
-
-def test_ambush_lose_bounces_attacker_no_transfer(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=100)
-    # The sleeper is deadly: the ambush rebounds onto the attacker.
-    target.atk = 200
-    target.def_ = 100
-    target.hp = 200
-    attacker_gold_before = attacker.gold
-
-    out = game.action("Raider", "ambush", "Sleeper", "")
-
-    # No gold moved; the ATTACKER is the one bounced to spawn at 1 HP.
-    assert attacker.gold == attacker_gold_before
-    assert target.gold == 100
-    assert attacker.hp == 1
-    assert (attacker.x, attacker.y) == game.world.spawn
-    assert "flee" in out.lower() or "wakes" in out.lower()
-    # The attempt is still spent.
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-
-
-def test_ambush_records_attempt_on_every_outcome(tmp_path: Path, clock: object) -> None:
-    """Win, lose, or flee — the (attacker, target, day) row is always written."""
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game)
-    # Tune a flee: when neither side can meaningfully dent the other, the fight
-    # grinds to the 50-round stalemate guard, which resolves as FLED with no
-    # transfer. Both deal the 1-damage floor (atk << def), and both carry far
-    # more HP than 50 rounds can drain, so neither drops first.
-    attacker.atk, attacker.def_ = 1, 200
-    attacker.hp = attacker.max_hp = 500
-    target.atk, target.def_, target.hp = 1, 200, 500
-    gold_before = attacker.gold
-
-    out = game.action("Raider", "ambush", "Sleeper", "")
-
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-    assert attacker.gold == gold_before  # a flee moves no gold
-    assert "slip away" in out.lower() or "nerve" in out.lower()
-
-
-def test_ambush_next_day_retry_allowed(tmp_path: Path, clock: object) -> None:
-    """A new UTC day clears the once-per-pair lock (advance the injected clock)."""
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game)
-    attacker.atk = 200
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-
-    # Advance past UTC midnight; re-arm the sleeper for the new day.
-    tomorrow = utc(2026, 6, 13, 9, 0)
-    game.clock = fixed_clock(tomorrow)  # type: ignore[assignment]
-    target.turn_day = tomorrow.toordinal() - 1  # asleep again
-    target.hp = 5
-    out = game.action("Raider", "ambush", "Sleeper", "")
-    assert "already lain in wait" not in out  # the new day permits a fresh attempt
-    assert game.store.has_ambushed("Raider", "Sleeper", tomorrow.toordinal()) is True
-
-
-def test_sleep_rule_guard_has_teeth(tmp_path: Path, clock: object) -> None:
-    """Pin the sleep rule on a single-field divergence.
-
-    The un-ambushable case and the ambushable case differ ONLY in ``turn_day``:
-    with the target awake the action is refused, and flipping that one field to
-    asleep makes the very same attempt resolve and record.
-    """
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_asleep=False)
-    attacker.atk = 200
-    target.hp = 5
-    refused = game.action("Raider", "ambush", "Sleeper", "")
-    assert "watchful today" in refused
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is False
-
-    # Flip ONLY the sleep field; now the very same attempt lands.
-    target.turn_day = _TODAY - 1
-    resolved = game.action("Raider", "ambush", "Sleeper", "")
-    assert "watchful today" not in resolved
-    assert game.store.has_ambushed("Raider", "Sleeper", _TODAY) is True
-
-
-def test_ambush_both_rows_persist_in_one_transaction(tmp_path: Path, clock: object) -> None:
-    """A win commits BOTH fighters' rows; a store reopen sees the transfer."""
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=100)
-    attacker.atk = 200
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-    raider_gold = attacker.gold
-    sleeper_gold = target.gold
-    game.store.close()
-
-    world = load_world(PACK)
-    reopened = Store(tmp_path / "social.db")
-    revived = Game(world, reopened, clock=clock)  # type: ignore[arg-type]
-    assert revived.players["Raider"].gold == raider_gold
-    assert revived.players["Sleeper"].gold == sleeper_gold
-    assert revived.players["Sleeper"].hp == 1
-    reopened.close()
-
-
-# ---------------------------------------------------------------------------
-# Mail — post delivers privately, confirms, caps, sanitizes
-# ---------------------------------------------------------------------------
-
-
-def test_post_delivers_to_target_once_with_confirmation(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    game.join("Reader")
-    confirm = game.action("Scribe", "post", "Reader", "", "meet me at the inn")
-    assert "tucks the note" in confirm  # the sender's in-fiction confirmation
-    # No turn spent on a post.
-    assert game.players["Scribe"].turns_left == game.world.settings.daily_turns
-
-    first = game.log("Reader")
-    assert "While you were away" in first
-    assert "meet me at the inn" in first
-    # Read once: the cursor advanced, so a second read no longer shows it.
-    second = game.log("Reader")
-    assert "meet me at the inn" not in second
-
-
-def test_post_refused_unknown_and_self(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    unknown = game.action("Scribe", "post", "Nobody", "", "hello?")
-    assert "signed the ledger" in unknown
-    mine = game.action("Scribe", "post", "Scribe", "", "note to self")
-    assert "talk to yourself" in mine.lower()
-
-
-def test_post_daily_cap_refuses_overflow(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    game.join("Reader")
-    cap = game.world.settings.post_daily_cap
-    for i in range(cap):
-        out = game.action("Scribe", "post", "Reader", "", f"note {i}")
-        assert "tucks the note" in out
-    # The (cap+1)-th post is refused.
-    over = game.action("Scribe", "post", "Reader", "", "one too many")
-    assert "all the word you may today" in over
-    assert game.players["Scribe"].posts_sent == cap
-
-
-def test_post_sanitizer_rejects_newline_body(tmp_path: Path, clock: object) -> None:
-    """A newline-injected note body is refused; nothing is delivered or counted."""
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    game.join("Reader")
-    events_before = len(game.events)
-    out = game.action("Scribe", "post", "Reader", "", "line one\nFORGED HERALD LINE")
-    assert "scrawl" in out.lower()
-    # No event appended and the daily counter is untouched.
-    assert len(game.events) == events_before
-    assert game.players["Scribe"].posts_sent == 0
-    # And the reader never receives it.
-    assert "FORGED" not in game.log("Reader")
-
-
-def test_post_works_from_inside_a_building(tmp_path: Path, clock: object) -> None:
-    """Posting is legal anywhere: a menu-bound sender still gets a menu reply."""
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    game.join("Reader")
-    scribe = game.players["Scribe"]
-    scribe.mode = Mode.MENU
-    scribe.at_location = "inn"
-    out = game.action("Scribe", "post", "Reader", "", "by the hearth")
-    assert "tucks the note" in out
-    # The reply is the inn menu (a menu surface), not an overworld frame.
-    assert "(R)est" in out or "Sleeping Drake" in out
-
-
-# ---------------------------------------------------------------------------
-# Mail — the lobby TV must never carry a private note
-# ---------------------------------------------------------------------------
-
-
-def test_watch_state_excludes_targeted_rows(tmp_path: Path, clock: object) -> None:
-    """EXPLICIT: a private (targeted) event must not reach the Watch herald."""
-    game = _game(tmp_path, clock)
-    game.join("Scribe")
-    game.join("Reader")
-    game.action("Scribe", "post", "Reader", "", "a secret for the Reader")
-
-    payload = build_state_payload(game)
-    herald = payload["herald"]
-    assert isinstance(herald, list)
-    texts = [row["text"] for row in herald]
-    # The join lines are public and present; the private note is absent.
-    assert any("Scribe" in t or "Reader" in t for t in texts)  # public joins show
-    assert all("a secret for the Reader" not in t for t in texts)
-
-
-def test_watch_state_excludes_private_ambush_note(tmp_path: Path, clock: object) -> None:
-    """The ambush victim's private alert is filtered from the lobby TV too."""
-    game = _game(tmp_path, clock)
-    attacker, target = _arm_ambush(game, target_gold=80)
-    attacker.atk = 200
-    target.hp = 5
-    game.action("Raider", "ambush", "Sleeper", "")
-
-    herald_texts = [row["text"] for row in build_state_payload(game)["herald"]]  # type: ignore[union-attr]
-    # The PUBLIC ambush crow is on the feed...
-    assert any(
-        "Sleeper" in t and ("made off" in t or "robbed" in t or "lifted" in t) for t in herald_texts
-    )
-    # ...but the PRIVATE "While you slept" note never is.
-    assert all("While you slept" not in t for t in herald_texts)
-
-
-# ---------------------------------------------------------------------------
-# Dice — win / lose / push under a seeded RNG, bands, cap, herald gate
-# ---------------------------------------------------------------------------
-
-
-def _at_inn(game: Game, name: str) -> object:
-    """Join *name* and seat them at the inn (MENU surface)."""
-    game.join(name)
-    player = game.players[name]
-    player.mode = Mode.MENU
-    player.at_location = "inn"
-    return player
-
-
-def test_gamble_win_under_seeded_rng(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 100
-    # Seed 2 makes the gamble child roll 11 (you) vs 9 (house) -> a win.
-    game.rng = GameRNG(seed=2)
-    out = game.action("Gambler", "gamble", "", "", "", 10)
-    assert player.gold == 110  # stake doubled back
-    assert "win" in out.lower()
-    # No turn spent; one game counted.
-    assert player.turns_left == game.world.settings.daily_turns
-    assert player.gambles == 1
-
-
-def test_gamble_lose_under_seeded_rng(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 100
-    # Seed 0 rolls 4 (you) vs 9 (house) -> a loss.
-    game.rng = GameRNG(seed=0)
-    out = game.action("Gambler", "gamble", "", "", "", 10)
-    assert player.gold == 90
-    assert "lose" in out.lower()
-    assert player.gambles == 1
-
-
-def test_gamble_push_under_seeded_rng(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 100
-    # Seed 1 rolls 6 vs 6 -> a push: no gold change, but it still counts.
-    game.rng = GameRNG(seed=1)
-    out = game.action("Gambler", "gamble", "", "", "", 10)
-    assert player.gold == 100
-    assert "push" in out.lower()
-    assert player.gambles == 1  # a push still consumes a daily game
-
-
-def test_gamble_bet_band_refused(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 100_000
-    max_bet = game.world.settings.gamble_max_bet
-    low = game.action("Gambler", "gamble", "", "", "", 0)
-    assert f"1 to {max_bet}" in low
-    high = game.action("Gambler", "gamble", "", "", "", max_bet + 1)
-    assert f"1 to {max_bet}" in high
-    # A rejected bet neither moves gold nor counts toward the cap.
-    assert player.gold == 100_000
-    assert player.gambles == 0
-
-
-def test_gamble_unaffordable_refused(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 5
-    out = game.action("Gambler", "gamble", "", "", "", 10)  # within band, can't cover
-    assert "can't cover" in out.lower()
-    assert player.gold == 5
-    assert player.gambles == 0
-
-
-def test_gamble_daily_cap_refused(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 100_000
-    cap = game.world.settings.gamble_daily_cap
-    player.gambles = cap  # already at the cap
-    out = game.action("Gambler", "gamble", "", "", "", 5)
-    assert "enough for one day" in out
-    assert player.gambles == cap  # not incremented past the cap
-
-
-def test_gamble_outside_inn_refused(tmp_path: Path, clock: object) -> None:
-    """The dice live at the inn: the verb is illegal in another building."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.at_location = "shop"  # the shop has no 'gamble' action
-    player.gold = 100
-    out = game.action("Gambler", "gamble", "", "", "", 10)
-    assert "can't 'gamble' here" in out.lower()
-    assert player.gold == 100
-
-
-def test_gamble_big_win_heralds(tmp_path: Path, clock: object) -> None:
-    """A win of >= 25 gold reaches the public Herald; a small one does not."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 1000
-
-    # A 50-gold win (>= the 25 threshold) writes a public dice line.
-    game.rng = GameRNG(seed=2)  # a winning roll
-    events_before = len(game.events)
-    game.action("Gambler", "gamble", "", "", "", 50)
-    new = game.events[events_before:]
-    assert any(e.kind == "gamble" and e.target == "" for e in new)
-    assert player.gold == 1050
-
-
-def test_gamble_small_win_is_quiet(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Gambler")
-    player.gold = 1000
-    # A 10-gold win is below the 25-gold Herald threshold: no public line.
-    game.rng = GameRNG(seed=2)
-    events_before = len(game.events)
-    game.action("Gambler", "gamble", "", "", "", 10)
-    new = game.events[events_before:]
-    assert all(e.kind != "gamble" for e in new)
-    assert player.gold == 1010
-
-
-# ---------------------------------------------------------------------------
-# The Vault — deposit/withdraw at the inn (no turn; banked gold is safe)
-# ---------------------------------------------------------------------------
-
-
-def test_deposit_moves_gold_to_the_vault_no_turn(tmp_path: Path, clock: object) -> None:
-    """Deposit moves coin from hand to vault, costs no turn, and is friendly."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.gold = 100
-    turns_before = player.turns_left
-
-    out = game.action("Saver", "deposit", "", "", "", 60)
-
-    assert player.gold == 40
-    assert player.banked == 60
-    assert player.turns_left == turns_before  # banking spends no turn
-    assert "strongbox" in out.lower()
-
-
-def test_withdraw_moves_gold_back_to_hand(tmp_path: Path, clock: object) -> None:
-    """Withdraw moves coin from vault to hand."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.gold = 10
-    player.banked = 90
-
-    game.action("Saver", "withdraw", "", "", "", 50)
-
-    assert player.gold == 60
-    assert player.banked == 40
-
-
-def test_deposit_amount_exceeding_holdings_refused(tmp_path: Path, clock: object) -> None:
-    """Depositing more than you carry is refused without mutation."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.gold = 30
-    player.banked = 0
-
-    out = game.action("Saver", "deposit", "", "", "", 50)
-
-    assert player.gold == 30  # unchanged
-    assert player.banked == 0
-    assert "1 to 30" in out
-
-
-def test_deposit_with_nothing_in_hand_refused(tmp_path: Path, clock: object) -> None:
-    """Depositing with an empty hand is a friendly refusal."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.gold = 0
-
-    out = game.action("Saver", "deposit", "", "", "", 10)
-
-    assert player.banked == 0
-    assert "no coin" in out.lower()
-
-
-def test_withdraw_amount_exceeding_vault_refused(tmp_path: Path, clock: object) -> None:
-    """Withdrawing more than is banked is refused without mutation."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.gold = 0
-    player.banked = 20
-
-    out = game.action("Saver", "withdraw", "", "", "", 50)
-
-    assert player.gold == 0
-    assert player.banked == 20  # unchanged
-    assert "1 to 20" in out
-
-
-def test_withdraw_empty_vault_refused(tmp_path: Path, clock: object) -> None:
-    """Withdrawing from an empty vault is a friendly refusal."""
-    game = _game(tmp_path, clock)
-    player = _at_inn(game, "Saver")
-    player.banked = 0
-
-    out = game.action("Saver", "withdraw", "", "", "", 10)
-
-    assert player.gold == game.world.settings.starting_gold  # unchanged
-    assert "empty" in out.lower()
-
-
-def test_status_shows_carried_and_vault_gold(tmp_path: Path, clock: object) -> None:
-    """door_status reports gold as carried-on-hand plus banked-in-the-vault."""
-    game = _game(tmp_path, clock)
-    game.join("Saver")
-    player = game.players["Saver"]
-    player.gold = 75
-    player.banked = 250
-
-    out = game.status("Saver")
-
-    assert "75 on hand" in out
-    assert "250 in the vault" in out

examples/door-game/tests/test_texture.py

@@ -1,60 +0,0 @@
-"""Deterministic terrain texturing (understone.screen.texture).
-
-Pins the contract the Watch JS mirrors: a textured glyph is a pure function of
-its cell coordinate (stable per cell), an un-listed glyph is returned
-untouched, and the selection formula is ``(x * _HASH_X + y * _HASH_Y) % n``
-derived from the module's hash constants. The formula is asserted against those
-constants so a retune moves the test with it and a drift is caught.
-"""
-
-from __future__ import annotations
-
-from understone.screen.texture import _HASH_X, _HASH_Y, VARIANTS, textured
-
-
-def test_untextured_glyph_is_unchanged() -> None:
-    """A glyph with no VARIANTS row passes through verbatim (actors, walls)."""
-    for ch in "█@☻⌂$":
-        assert textured(ch, 3, 7) == ch
-
-
-def test_same_coord_same_variant() -> None:
-    """Texturing is position-only and stable: one cell always picks one glyph."""
-    first = textured(".", 12, 5)
-    for _ in range(5):
-        assert textured(".", 12, 5) == first
-
-
-def test_variant_is_always_in_the_row() -> None:
-    """Every selected glyph is one of the declared variants for its base."""
-    choices = VARIANTS["."]
-    for x in range(20):
-        for y in range(20):
-            assert textured(".", x, y) in choices
-
-
-def test_a_row_uses_more_than_one_variant() -> None:
-    """Across a row the hash spreads — the texture is not a single repeated glyph."""
-    seen = {textured(".", x, 0) for x in range(len(VARIANTS["."]) * 4)}
-    assert len(seen) > 1
-
-
-def test_formula_matches_the_hash_constants() -> None:
-    """The selection index is (x * _HASH_X + y * _HASH_Y) % len — the JS twin's formula.
-
-    Derived from the live ``_HASH_X`` / ``_HASH_Y`` constants (not the literal
-    31/17) and checked against the live VARIANTS rows, so it stays a formula
-    test that tracks a retune rather than a snapshot a table or constant edit
-    could silently invalidate.
-    """
-    for base, choices in VARIANTS.items():
-        n = len(choices)
-        for x, y in [(0, 0), (1, 0), (0, 1), (12, 5), (7, 13), (255, 255)]:
-            assert textured(base, x, y) == choices[(x * _HASH_X + y * _HASH_Y) % n]
-
-
-def test_origin_cell_is_the_base_glyph() -> None:
-    """Cell (0,0) hashes to index 0, which is the base glyph (variants[0])."""
-    for base, choices in VARIANTS.items():
-        assert textured(base, 0, 0) == choices[0]
-        assert choices[0] == base

examples/door-game/tests/test_textwidth.py

@@ -1,81 +0,0 @@
-"""The one-glyph-one-column grid contract (understone.engine.textwidth).
-
-Pins the accept/reject boundary of :func:`is_grid_safe` and proves every
-:data:`SAFE_PALETTE` entry clears it. The acceptances include the
-East-Asian-Width *Ambiguous* CP437 glyphs the game leans on (``█ ♣ ↑ ∩ ≈ ★``),
-which render single-column under the Western monospace our surfaces use; the
-rejections are the genuinely double-width and zero-width classes that tear a
-frame.
-"""
-
-from __future__ import annotations
-
-import unicodedata
-
-import pytest
-
-from understone.engine.textwidth import SAFE_PALETTE, is_grid_safe
-from understone.world.loader import RESERVED_GLYPHS
-
-# Single-column glyphs that must be admitted: plain ASCII, a Latin accent that
-# is one composed code point, and the Ambiguous-width CP437 set the re-skin uses.
-_ACCEPTED = ["a", "Z", "ö", "☻", "≋", "█", "∩", "★", "♣", "↑", ".", "$", " "]
-
-# Must be rejected, with the reason each one trips the gate.
-_REJECTED = {
-    "龍": "wide CJK ideograph (EAW=W) — two columns",
-    "🌲": "emoji (EAW=W) — two columns",
-    "Ａ": "fullwidth Latin A (EAW=F) — two columns",
-    "é": "decomposed e + combining acute — two code points",
-    "́": "a lone combining acute — zero width",
-    "👨‍👩": "ZWJ sequence — multiple code points",
-    "ab": "two characters",
-    "": "empty string",
-    "\t": "a control character",
-}
-
-
-@pytest.mark.parametrize("ch", _ACCEPTED)
-def test_is_grid_safe_accepts(ch: str) -> None:
-    assert is_grid_safe(ch) is True
-
-
-@pytest.mark.parametrize("text", list(_REJECTED), ids=list(_REJECTED.values()))
-def test_is_grid_safe_rejects(text: str) -> None:
-    assert is_grid_safe(text) is False
-
-
-def test_safe_palette_is_all_grid_safe() -> None:
-    """Every curated palette glyph clears the gate — the appendix can't ship a dud."""
-    bad = [g for g in SAFE_PALETTE if not is_grid_safe(g)]
-    assert bad == [], f"palette has non-grid-safe glyphs: {bad}"
-
-
-def test_safe_palette_has_no_reserved_glyphs() -> None:
-    """No palette glyph is a loader-reserved marker — the 'author-usable' promise.
-
-    The appendix tells a pack author to pull any palette glyph for terrain,
-    structures, or actors, but the loader rejects the box-drawing frame lines
-    and the '@'/'☻' player markers (``loader.RESERVED_GLYPHS``). A palette entry
-    that is also reserved would hand the author a glyph that load-fails — the
-    exact doc-vs-enforcement trap. Guarding the intersection keeps "all tested
-    safe AND author-usable" enforced, not merely asserted on width.
-    """
-    collisions = set(SAFE_PALETTE) & RESERVED_GLYPHS
-    assert collisions == set(), f"palette offers loader-reserved glyphs: {sorted(collisions)}"
-
-
-def test_safe_palette_has_no_duplicates() -> None:
-    """The palette is a set in spirit; a dupe would be an authoring slip."""
-    assert len(SAFE_PALETTE) == len(set(SAFE_PALETTE))
-
-
-def test_ambiguous_width_glyphs_are_accepted() -> None:
-    """Document the load-bearing call: EAW=Ambiguous is admitted, not barred.
-
-    These are the CP437 glyphs the game depends on; if a future tightening
-    barred Ambiguous, the whole re-skin would vanish from the map.
-    """
-    for ch in "█♣↑∩≈★":
-        assert unicodedata.east_asian_width(ch) == "A"
-        assert is_grid_safe(ch) is True

examples/door-game/tests/test_turns.py

@@ -1,94 +0,0 @@
-"""Daily-turn budget and UTC rollover tests.
-
-Covers spend/refuse semantics, the lazy reset when the UTC day advances
-(including a 23:59 -> 00:01 crossing on the same Player instance), and the
-shared rollover of the bestow pool.
-"""
-
-from __future__ import annotations
-
-from tests.conftest import fixed_clock, make_player, utc
-from understone.engine.turns import ensure_day, spend_turn
-
-
-def test_spend_decrements() -> None:
-    player = make_player(turns_left=3)
-    assert spend_turn(player) is True
-    assert player.turns_left == 2
-
-
-def test_spend_refuses_at_zero_without_mutation() -> None:
-    player = make_player(turns_left=0)
-    before = player.turns_left
-    assert spend_turn(player) is False
-    assert player.turns_left == before
-
-
-def test_ensure_day_resets_on_new_day() -> None:
-    day = utc(2026, 6, 12).toordinal()
-    player = make_player(turns_left=0, turn_day=day - 1, bestow_spent=20, bestow_day=day - 1)
-    reset = ensure_day(player, fixed_clock(utc(2026, 6, 12, 9, 0)), daily_turns=10)
-    assert reset is True
-    assert player.turns_left == 10
-    assert player.turn_day == day
-    assert player.bestow_spent == 0
-    assert player.bestow_day == day
-
-
-def test_ensure_day_noop_within_same_day() -> None:
-    day = utc(2026, 6, 12).toordinal()
-    # Every day marker is already today, so no allowance (turns, bestow, posts,
-    # dice) is touched — the rollover is a pure no-op.
-    player = make_player(
-        turns_left=4,
-        turn_day=day,
-        bestow_spent=10,
-        bestow_day=day,
-        post_day=day,
-        gamble_day=day,
-    )
-    reset = ensure_day(player, fixed_clock(utc(2026, 6, 12, 23, 0)), daily_turns=10)
-    assert reset is False
-    assert player.turns_left == 4
-    assert player.bestow_spent == 10
-
-
-def test_midnight_crossing_refreshes_on_same_instance() -> None:
-    # Evening of day one: spend down to a low budget.
-    player = make_player(turns_left=10, turn_day=0, bestow_spent=0, bestow_day=0)
-    evening = utc(2026, 6, 12, 23, 59)
-    ensure_day(player, fixed_clock(evening), daily_turns=10)
-    for _ in range(8):
-        spend_turn(player)
-    assert player.turns_left == 2
-
-    # Just past midnight (UTC) the next action refreshes the budget.
-    after_midnight = utc(2026, 6, 13, 0, 1)
-    reset = ensure_day(player, fixed_clock(after_midnight), daily_turns=10)
-    assert reset is True
-    assert player.turns_left == 10
-    assert player.turn_day == after_midnight.toordinal()
-
-
-def test_bestow_pool_resets_on_the_same_boundary() -> None:
-    player = make_player(bestow_spent=25, bestow_day=utc(2026, 6, 12).toordinal())
-    ensure_day(player, fixed_clock(utc(2026, 6, 13, 0, 1)), daily_turns=10)
-    assert player.bestow_spent == 0
-    assert player.bestow_day == utc(2026, 6, 13).toordinal()
-
-
-def test_social_caps_reset_on_the_same_boundary() -> None:
-    """Posts and dice counts ride the same UTC rollover as turns and bestow."""
-    yesterday = utc(2026, 6, 12).toordinal()
-    player = make_player(
-        posts_sent=5,
-        post_day=yesterday,
-        gambles=5,
-        gamble_day=yesterday,
-    )
-    reset = ensure_day(player, fixed_clock(utc(2026, 6, 13, 0, 1)), daily_turns=10)
-    assert reset is True
-    assert player.posts_sent == 0
-    assert player.post_day == utc(2026, 6, 13).toordinal()
-    assert player.gambles == 0
-    assert player.gamble_day == utc(2026, 6, 13).toordinal()

examples/door-game/tests/test_watch.py

@@ -1,591 +0,0 @@
-"""Watch-page payload builders and the watch-URL advertisement.
-
-These are pure-unit tests of :mod:`understone.watch` (no network): the static
-world payload's shape and legend completeness, the dynamic state payload's
-player/herald/hall content under a frozen clock, and the join/help "Watch the
-Vale live" line that appears only when a Game carries a watch URL.
-"""
-
-from __future__ import annotations
-
-import re
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import pytest
-
-from tests.conftest import fixed_clock, utc
-from understone import server as understone_server
-from understone import watch
-from understone.engine.log import Event
-from understone.engine.rng import GameRNG
-from understone.game import Game
-from understone.persistence import Store
-from understone.screen.palette import Color
-from understone.world.loader import load_world
-
-if TYPE_CHECKING:
-    from understone.engine.world import World
-
-PACK = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-
-@pytest.fixture
-def world() -> World:
-    return load_world(PACK)
-
-
-@pytest.fixture
-def clock() -> object:
-    return fixed_clock(utc(2026, 6, 12, 10, 30))
-
-
-def _game(tmp_path: Path, clock: object, watch_url: str | None = None) -> Game:
-    world = load_world(PACK)
-    store = Store(tmp_path / "watch.db")
-    return Game(  # type: ignore[arg-type]
-        world, store, clock=clock, rng=GameRNG(seed=7), watch_url=watch_url
-    )
-
-
-# ---------------------------------------------------------------------------
-# World payload (static)
-# ---------------------------------------------------------------------------
-
-
-def test_world_payload_shape(world: World) -> None:
-    payload = watch.build_world_payload(world)
-    assert payload["name"] == world.name
-    assert payload["width"] == world.width
-    assert payload["height"] == world.height
-    rows = payload["glyph_rows"]
-    assert isinstance(rows, list)
-    assert len(rows) == world.height
-    assert all(isinstance(r, str) and len(r) == world.width for r in rows)
-
-
-def test_world_payload_legend_is_complete(world: World) -> None:
-    payload = watch.build_world_payload(world)
-    rows = payload["glyph_rows"]
-    legend = payload["legend"]
-    assert isinstance(rows, list)
-    assert isinstance(legend, dict)
-    # Contract: every glyph that appears in the rows has a colour in the legend.
-    glyphs = {ch for row in rows for ch in row}
-    assert glyphs <= set(legend)
-    # And every legend colour is a real palette colour name (no stray roles).
-    valid = {c.value for c in Color}
-    assert set(legend.values()) <= valid
-
-
-def test_world_payload_locations_present(world: World) -> None:
-    payload = watch.build_world_payload(world)
-    locations = payload["locations"]
-    assert isinstance(locations, list)
-    assert len(locations) == len(world.locations)
-    by_name = {loc["name"]: loc for loc in locations}
-    # The dungeon mouth rides in the locations overlay with its glyph + colour.
-    deep = by_name["The Understone Deep"]
-    assert deep["glyph"] == "∩"
-    assert deep["color"] == "dungeon"
-    assert (deep["x"], deep["y"]) == (70, 12)
-
-
-def test_world_payload_carries_reskinned_glyphs(world: World) -> None:
-    """The v0.6 re-skin reaches the Watch: ≋ water in the rows, ⌂/✚/∩ buildings.
-
-    Water rides the base terrain (glyph_rows + legend); the buildings ride the
-    locations overlay. If a glyph reverts, the live map drifts from the frames.
-    """
-    payload = watch.build_world_payload(world)
-    rows = payload["glyph_rows"]
-    assert isinstance(rows, list)
-    glyphs = {ch for row in rows for ch in row}
-    assert "≋" in glyphs  # water in the base map
-    assert "~" not in glyphs  # the old water glyph is gone
-    legend = payload["legend"]
-    assert isinstance(legend, dict)
-    assert "≋" in legend
-    by_name = {loc["name"]: loc["glyph"] for loc in payload["locations"]}  # type: ignore[index,union-attr]
-    assert by_name["The Sleeping Drake"] == "⌂"
-    assert by_name["The Quiet Shrine"] == "✚"
-    assert by_name["The Understone Deep"] == "∩"
-
-
-# ---------------------------------------------------------------------------
-# v0.9 colour-role split — the payload now carries the EXPANDED vocabulary, so
-# distinct terrain/building types read by hue on the Watch and not just by glyph.
-# These pin the literal fixes: road no longer shares grass's colour, forest no
-# longer shares tree's, the town buildings each carry their own role, and the
-# Cinder slag is lava (orange), no longer water (blue).
-# ---------------------------------------------------------------------------
-
-CINDER = Path(__file__).resolve().parents[1] / "understone" / "world" / "packs" / "cinder-wastes"
-
-
-def _terrain_kinds(world: World) -> dict[str, str]:
-    """Return the distinct terrain kinds in *world* as ``{key: colour role}``.
-
-    ``world.terrain`` is the painted 2-D grid (one ``TerrainDef`` per cell); the
-    distinct kinds are recovered by deduplicating it on ``key``. Every kind in a
-    shipped world appears on the map, so this sees all of them.
-    """
-    kinds: dict[str, str] = {}
-    for row in world.terrain:
-        for cell in row:
-            kinds[cell.key] = cell.color
-    return kinds
-
-
-def _legend_for_terrain_key(world: World, key: str) -> str:
-    """Return the legend colour the payload carries for terrain ``key``.
-
-    Resolves the terrain key to its glyph, then reads that glyph's colour out of
-    the built payload's legend — so the assertion is on what the Watch receives,
-    not on the raw JSON.
-    """
-    payload = watch.build_world_payload(world)
-    legend = payload["legend"]
-    assert isinstance(legend, dict)
-    glyph = next(cell.glyph for row in world.terrain for cell in row if cell.key == key)
-    return legend[glyph]
-
-
-def test_vale_payload_road_is_not_floor(world: World) -> None:
-    """REGRESSION (the literal bug the slice fixes): road has its OWN colour.
-
-    Before v0.9 the Vale road shared ``floor`` with grass, so a path was
-    indistinguishable from open ground on the Watch. The road now carries
-    ``road``; grass keeps ``floor``; they must differ.
-    """
-    road = _legend_for_terrain_key(world, "road")
-    grass = _legend_for_terrain_key(world, "grass")
-    assert road == "road"
-    assert grass == "floor"
-    assert road != grass
-
-
-def test_vale_payload_forest_is_not_tree(world: World) -> None:
-    """REGRESSION: forest has its OWN colour, no longer shared with tree.
-
-    Dense forest scrub used to share ``tree`` with the tree wall, so the two
-    read identically. Forest now carries ``forest``; tree keeps ``tree``.
-    """
-    forest = _legend_for_terrain_key(world, "forest")
-    tree = _legend_for_terrain_key(world, "tree")
-    assert forest == "forest"
-    assert tree == "tree"
-    assert forest != tree
-
-
-def test_vale_payload_buildings_carry_distinct_roles(world: World) -> None:
-    """Each Vale town building rides its own role (inn/shop/healer), not ``town``."""
-    payload = watch.build_world_payload(world)
-    by_name = {loc["name"]: loc["color"] for loc in payload["locations"]}  # type: ignore[index,union-attr]
-    assert by_name["The Sleeping Drake"] == "inn"
-    assert by_name["Gravel & Sons Outfitters"] == "shop"
-    assert by_name["The Quiet Shrine"] == "healer"
-    assert by_name["The Understone Deep"] == "dungeon"
-    # No two distinct buildings share a colour role.
-    roles = list(by_name.values())
-    assert len(set(roles)) == len(roles)
-
-
-def test_cinder_payload_slag_is_lava_not_water() -> None:
-    """The Cinder slag carries ``lava`` (orange), never ``water`` (blue) again.
-
-    This is the Cinder half of the bug: molten slag shared ``water``, so the
-    lava rendered BLUE on the Watch. After the remap the legend carries ``lava``
-    and ``water`` appears NOWHERE in the Cinder payload (no water in this world).
-    """
-    cinder = load_world(CINDER)
-    payload = watch.build_world_payload(cinder)
-    legend = payload["legend"]
-    assert isinstance(legend, dict)
-    assert _legend_for_terrain_key(cinder, "slag") == "lava"
-    assert "water" not in legend.values()
-
-
-def test_cinder_payload_carries_expanded_roles() -> None:
-    """The Cinder terrain reads by hue: ash→barren, basalt→road, cinder→scrub.
-
-    Cinder-fields use ``scrub`` (dusky ember-brown), NOT ``forest`` (green) —
-    a volcanic waste must not render as lush woods. ``forest`` is for green
-    worlds; ``scrub`` is its barren counterpart.
-    """
-    cinder = load_world(CINDER)
-    assert _legend_for_terrain_key(cinder, "ash") == "barren"
-    assert _legend_for_terrain_key(cinder, "basalt") == "road"
-    assert _legend_for_terrain_key(cinder, "cinder") == "scrub"
-    legend = watch.build_world_payload(cinder)["legend"]
-    assert isinstance(legend, dict)
-    assert "forest" not in legend.values()  # no green woods in a volcanic waste
-    # Obsidian spire reuses the wall role (a rock barrier), same as caldera.
-    assert _legend_for_terrain_key(cinder, "spire") == "wall"
-    assert _legend_for_terrain_key(cinder, "caldera") == "wall"
-
-
-def test_both_worlds_terrain_roles_are_distinct_per_world() -> None:
-    """No two DISTINCT terrain types share a colour role within a world.
-
-    The point of the slice: after the remap each terrain kind reads by its own
-    hue. (A role MAY be shared by two types that are deliberately the same
-    barrier — spire/caldera both ``wall`` in Cinder — so this checks distinct
-    KEYS that map to the same role are only the intended wall pair.)
-    """
-    for world_dir, allowed_shared in (
-        (PACK, set()),
-        (CINDER, {("caldera", "spire")}),
-    ):
-        w = load_world(world_dir)
-        by_role: dict[str, list[str]] = {}
-        for key, role in _terrain_kinds(w).items():
-            by_role.setdefault(role, []).append(key)
-        for role, keys in by_role.items():
-            if len(keys) > 1:
-                pair = tuple(sorted(keys))
-                assert pair in allowed_shared, f"unexpected shared role {role!r}: {keys}"
-
-
-# ---------------------------------------------------------------------------
-# State payload (dynamic)
-# ---------------------------------------------------------------------------
-
-
-def test_state_payload_includes_joined_player(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    payload = watch.build_state_payload(game)
-    players = payload["players"]
-    assert isinstance(players, list)
-    brandr = next(p for p in players if p["name"] == "Brandr")
-    assert brandr["level"] == 1
-    assert brandr["wins"] == 0
-    assert brandr["hp"] == brandr["max_hp"]
-    assert brandr["mode"] == "tile"
-    assert (brandr["x"], brandr["y"]) == game.world.spawn
-    # v0.10: a fresh hero shows their starting gold on hand, nothing banked, and
-    # an empty satchel.
-    assert brandr["gold"] == game.world.settings.starting_gold
-    assert brandr["banked"] == 0
-    assert brandr["satchel"] == []
-
-
-def test_state_payload_surfaces_gold_banked_and_satchel(tmp_path: Path, clock: object) -> None:
-    """A joined hero with a stocked satchel and banked gold shows the right values.
-
-    The lobby TV surfaces the whole shared world, so each player's purse (gold
-    on hand + vault) and satchel stacks (name + qty, resolved via the pack) ride
-    the state payload.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    player = game.players["Brandr"]
-    player.gold = 120
-    player.banked = 300
-    game._satchel_set_stacks(player, [("iron_ore", 5), ("minor_potion", 2)])
-
-    payload = watch.build_state_payload(game)
-    brandr = next(p for p in payload["players"] if p["name"] == "Brandr")  # type: ignore[union-attr]
-    assert brandr["gold"] == 120
-    assert brandr["banked"] == 300
-    # Stacks resolve their display name from the pack, preserving stow order.
-    assert brandr["satchel"] == [
-        {"name": "Iron Ore", "qty": 5},
-        {"name": "Minor Potion", "qty": 2},
-    ]
-
-
-def test_state_payload_satchel_unknown_id_falls_back_to_raw(tmp_path: Path, clock: object) -> None:
-    """A satchel id no longer in the pack falls back to the raw id, never blank."""
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.players["Brandr"].satchel = "ghost_item:2"  # not in the pack
-
-    payload = watch.build_state_payload(game)
-    brandr = next(p for p in payload["players"] if p["name"] == "Brandr")  # type: ignore[union-attr]
-    assert brandr["satchel"] == [{"name": "ghost_item", "qty": 2}]
-
-
-def test_state_payload_reports_all_players_including_menu(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.join("Brandr")
-    game.join("Sigrun")
-    # Put Sigrun in a MENU surface; the Watch still shows her on the board.
-    sigrun = game.players["Sigrun"]
-    from understone.engine.models import Mode
-
-    sigrun.mode = Mode.MENU
-    sigrun.at_location = "inn"
-    payload = watch.build_state_payload(game)
-    names = {p["name"] for p in payload["players"]}  # type: ignore[union-attr]
-    assert names == {"Brandr", "Sigrun"}
-    menu = next(p for p in payload["players"] if p["name"] == "Sigrun")  # type: ignore[union-attr]
-    assert menu["mode"] == "menu"
-
-
-def test_state_payload_ts_comes_from_clock(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    payload = watch.build_state_payload(game)
-    assert payload["ts"] == "2026-06-12T10:30:00+00:00"
-
-
-def test_state_payload_herald_is_last_15_oldest_first(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    # Replace the resident feed with 20 synthetic events in ascending id order.
-    game.events = [
-        Event(
-            event_id=i,
-            ts=f"2026-06-12T10:{i:02d}:00+00:00",
-            kind="join",
-            actor=f"Hero{i}",
-            text=f"event {i}",
-        )
-        for i in range(1, 21)
-    ]
-    payload = watch.build_state_payload(game)
-    herald = payload["herald"]
-    assert isinstance(herald, list)
-    assert len(herald) == 15
-    # Oldest-first: the window is events 6..20, in ascending order.
-    assert herald[0]["text"] == "event 6"
-    assert herald[-1]["text"] == "event 20"
-
-
-def test_state_payload_herald_full_window_despite_sparse_ids(tmp_path: Path, clock: object) -> None:
-    """Id gaps must not shrink the feed (regression: the window is a list
-    tail, not id arithmetic — AUTOINCREMENT ids may be non-contiguous)."""
-    game = _game(tmp_path, clock)
-    game.events = [
-        Event(
-            event_id=i * 7,  # sparse, non-contiguous ids
-            ts=f"2026-06-12T10:{i:02d}:00+00:00",
-            kind="join",
-            actor=f"Hero{i}",
-            text=f"event {i}",
-        )
-        for i in range(1, 21)
-    ]
-    herald = watch.build_state_payload(game)["herald"]
-    assert len(herald) == 15
-    assert herald[0]["text"] == "event 6"
-    assert herald[-1]["text"] == "event 20"
-
-
-def test_state_payload_herald_handles_short_feed(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    game.events = [
-        Event(
-            event_id=1,
-            ts="2026-06-12T10:00:00+00:00",
-            kind="join",
-            actor="Solo",
-            text="only one",
-        )
-    ]
-    payload = watch.build_state_payload(game)
-    herald = payload["herald"]
-    assert isinstance(herald, list)
-    assert [e["text"] for e in herald] == ["only one"]
-
-
-def test_state_payload_hall_capped_at_five(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    # Seven immortalised runs; the Watch shows only the five most recent.
-    for i in range(7):
-        game.store.insert_hall_row(f"Hero{i}", f"2026-06-{10 + i:02d}T12:00:00+00:00", i, 6 + i)
-    game.store.commit()
-    payload = watch.build_state_payload(game)
-    hall = payload["hall"]
-    assert isinstance(hall, list)
-    assert len(hall) == 5
-    # Newest first (store ordering): Hero6 leads.
-    assert hall[0]["name"] == "Hero6"
-    assert hall[0]["level_at_win"] == 12
-
-
-# ---------------------------------------------------------------------------
-# Watch-URL advertisement (join banner + help manual)
-# ---------------------------------------------------------------------------
-
-
-def test_join_advertises_watch_url_when_set(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock, watch_url="http://127.0.0.1:8077/watch")
-    out = game.join("Brandr")
-    assert "Watch the Vale live: http://127.0.0.1:8077/watch" in out
-
-
-def test_join_omits_watch_line_when_unset(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock)
-    out = game.join("Brandr")
-    assert "Watch the Vale live" not in out
-
-
-def test_resume_advertises_watch_url_when_set(tmp_path: Path, clock: object) -> None:
-    game = _game(tmp_path, clock, watch_url="http://127.0.0.1:8077/watch")
-    game.join("Brandr")
-    again = game.join("Brandr")
-    assert "Welcome back" in again
-    assert "Watch the Vale live: http://127.0.0.1:8077/watch" in again
-
-
-def test_help_advertises_watch_url_when_set(tmp_path: Path) -> None:
-    # door_help reads the module game; install one carrying a watch URL.
-    world = load_world(PACK)
-    store = Store(tmp_path / "help.db")
-    understone_server._set_game(Game(world, store, watch_url="http://127.0.0.1:8077/watch"))
-    try:
-        manual = understone_server.door_help()
-        assert "Watch the Vale live: http://127.0.0.1:8077/watch" in manual
-    finally:
-        understone_server._GAME.store.close()  # type: ignore[union-attr]
-        understone_server._GAME = None
-
-
-def test_help_omits_watch_line_when_unset(tmp_path: Path) -> None:
-    world = load_world(PACK)
-    store = Store(tmp_path / "help.db")
-    understone_server._set_game(Game(world, store))
-    try:
-        manual = understone_server.door_help()
-        assert "Watch the Vale live" not in manual
-    finally:
-        understone_server._GAME.store.close()  # type: ignore[union-attr]
-        understone_server._GAME = None
-
-
-# ---------------------------------------------------------------------------
-# WATCH_HTML lockstep guards (the JS twin of texture.py + the v0.6 glow-up)
-#
-# The inline page reproduces logic that lives in Python; these guard the two
-# invariants most prone to silent drift — the texture selection formula and the
-# other-player marker — plus the presence of the day-phase machinery.
-# ---------------------------------------------------------------------------
-
-
-def test_watch_html_derives_texture_formula_from_constants() -> None:
-    """The page's JS index string is DERIVED from texture._HASH_X / _HASH_Y.
-
-    Not a hard-coded "x * 31 + y * 17" snapshot: the expected substring is built
-    from the live constants, so a Python-side retune that the watch builder
-    fails to track trips here instead of silently shipping a stale formula.
-    """
-    from understone.screen import texture
-
-    expected = f"x * {texture._HASH_X} + y * {texture._HASH_Y}"
-    assert expected in watch.WATCH_HTML
-
-
-def test_watch_html_js_selection_agrees_with_textured() -> None:
-    """The JS selection arithmetic, replayed in Python, matches ``textured``.
-
-    The page computes ``variants[(x * _HASH_X + y * _HASH_Y) % len]``. Replaying
-    that exact formula here from the SAME constants and the SAME VARIANTS rows
-    and asserting it equals ``texture.textured`` over a full screen grid proves
-    both implementations select identically — a stronger lockstep than a string
-    match, since it pins the result, not the source text.
-    """
-    from understone.screen import texture
-
-    for base, choices in texture.VARIANTS.items():
-        for x in range(24):
-            for y in range(16):
-                js_pick = choices[(x * texture._HASH_X + y * texture._HASH_Y) % len(choices)]
-                assert texture.textured(base, x, y) == js_pick
-
-
-def test_watch_html_variants_match_texture_table() -> None:
-    """Every base->variants row in texture.VARIANTS appears in the JS VARIANTS map.
-
-    Glyphs ride into the inline JS as ``\\uXXXX`` escapes, so compare against the
-    escaped form. A new variant added to Python but not the page trips this.
-    """
-    from understone.screen import texture
-
-    html = watch.WATCH_HTML
-    for base, choices in texture.VARIANTS.items():
-        for glyph in {base, *choices}:
-            token = glyph if glyph.isascii() else f"\\u{ord(glyph):04x}"
-            assert token in html, f"variant glyph {glyph!r} missing from WATCH_HTML"
-
-
-def test_watch_html_uses_other_player_marker() -> None:
-    """Players on the lobby TV wear the ☻ marker (escaped) — no bare '@' marker paint."""
-    assert "\\u263b" in watch.WATCH_HTML
-
-
-def test_watch_html_renders_gold_banked_and_satchel() -> None:
-    """The Adventurers panel JS references each player's gold, vault, and satchel."""
-    html = watch.WATCH_HTML
-    # The roster sub-lines read these state fields by name.
-    assert "p.gold" in html
-    assert "p.banked" in html
-    assert "p.satchel" in html
-    # The satchel line has a dedicated renderer with an empty-bag note.
-    assert "satchelText" in html
-    assert "satchel empty" in html
-    assert "vault" in html
-
-
-def test_watch_html_has_day_phase_machinery() -> None:
-    """The dusk/dawn glow-up is wired: the tint classes and the UTC-hour read."""
-    html = watch.WATCH_HTML
-    assert "applyDayPhase" in html
-    assert "getUTCHours" in html
-    assert ".map-frame.night" in html
-    assert ".map-frame.twilight" in html
-    assert "Noto Sans Mono" in html
-
-
-# ---------------------------------------------------------------------------
-# PALETTE completeness — the v0.9 invariant that kills the "silent fallback"
-# bug class. The road bug existed because a Color role with no hex in the JS
-# PALETTE map fell back to default; this pins that EVERY role has a hex.
-# ---------------------------------------------------------------------------
-
-
-def _watch_palette_keys() -> set[str]:
-    """Parse the JS ``var PALETTE = { ... }`` map out of WATCH_HTML, return its keys.
-
-    The map uses bare (unquoted) JS identifier keys — ``road: "#b89a6a",`` — so
-    this slices the object literal and collects every ``key:`` token. Keeping the
-    parse here (not a hard-coded list) means the test reads whatever the page
-    actually ships, so a typo'd or dropped key surfaces as a missing role.
-    """
-    html = watch.WATCH_HTML
-    start = html.index("var PALETTE = {")
-    body = html[start : html.index("};", start)]
-    # Each entry is `<ident>: "<hex>"`; capture the identifier before the colon.
-    return set(re.findall(r"(\w+)\s*:\s*\"#", body))
-
-
-def test_watch_palette_covers_every_color_role() -> None:
-    """EVERY Color enum value has an entry in the JS PALETTE map — no fallbacks.
-
-    This is the literal fix for the road bug: a shipped role with no hex paints
-    as ``default`` silently. Asserting ``{c.value} <= palette_keys`` means adding
-    a Color without a Watch hex trips here instead of shipping a grey/green road.
-    """
-    palette_keys = _watch_palette_keys()
-    roles = {c.value for c in Color}
-    missing = roles - palette_keys
-    assert not missing, f"Color roles with no PALETTE hex (silent fallback): {sorted(missing)}"
-
-
-def test_watch_palette_distinct_new_terrain_hexes() -> None:
-    """The expanded terrain roles carry DISTINCT hexes (the point of the slice).
-
-    A guard that the seven new roles didn't accidentally collapse onto one hex
-    (which would re-introduce the very "two types, one colour" bug v0.9 fixes).
-    Parsed straight from the shipped map.
-    """
-    html = watch.WATCH_HTML
-    start = html.index("var PALETTE = {")
-    body = html[start : html.index("};", start)]
-    pairs = dict(re.findall(r"(\w+)\s*:\s*\"(#[0-9a-fA-F]{6})\"", body))
-    new_roles = ["road", "forest", "lava", "barren", "inn", "shop", "healer"]
-    hexes = [pairs[r] for r in new_roles]
-    assert all(r in pairs for r in new_roles), "a new v0.9 role is missing its hex"
-    assert len(set(hexes)) == len(hexes), f"new roles share a hex: {hexes}"
-    # The molten role must NOT reuse water's blue (the Cinder slag bug).
-    assert pairs["lava"] != pairs["water"]

examples/door-game/tests/test_watch_theme.py

@@ -1,143 +0,0 @@
-"""Tests for the per-pack Watch CRT theme (v0.8).
-
-Covers the loader band (each of the four legal themes loads; an unknown theme
-is rejected naming the legal set; an omitted theme defaults to phosphor), the
-state-payload carrying the theme, and the WATCH_HTML page's JS THEME table —
-including the load-bearing guard that the "phosphor" values byte-match the
-original ``:root`` CSS, so the bundled Vale stays visually identical.
-"""
-
-from __future__ import annotations
-
-import json
-import shutil
-from pathlib import Path
-from typing import Any
-
-import pytest
-
-from understone import watch
-from understone.errors import WorldLoadError
-from understone.world.loader import (
-    DEFAULT_WATCH_THEME,
-    WATCH_THEMES,
-    load_world,
-)
-
-SHIPPED = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-# The original :root CRT custom-property values (pre-v0.8). The "phosphor" theme
-# MUST reproduce these byte-for-byte so the default Vale is pixel-identical.
-_ORIGINAL_ROOT = {
-    "--phosphor": "#7dffa0",
-    "--phosphor-dim": "#2f7a46",
-    "--amber": "#ffb44d",
-    "--bg": "#050a06",
-    "--panel": "#0a140d",
-    "--edge": "#163a22",
-}
-
-
-def _pack_with_theme(tmp_path: Path, theme: Any) -> Path:
-    """Clone the Vale into a temp pack with ``settings.watch_theme`` set/removed.
-
-    ``theme`` set to a string writes that value; set to the sentinel ``...``
-    DELETES the key entirely (to exercise the omitted-defaults path).
-    """
-    dest = tmp_path / "themed"
-    shutil.copytree(SHIPPED, dest)
-    world_json = dest / "world.json"
-    data = json.loads(world_json.read_text(encoding="utf-8"))
-    if theme is ...:
-        data["settings"].pop("watch_theme", None)
-    else:
-        data["settings"]["watch_theme"] = theme
-    world_json.write_text(json.dumps(data), encoding="utf-8")
-    return dest
-
-
-# ---------------------------------------------------------------------------
-# loader band
-# ---------------------------------------------------------------------------
-
-
-@pytest.mark.parametrize("theme", sorted(WATCH_THEMES))
-def test_each_legal_theme_loads(tmp_path: Path, theme: str) -> None:
-    pack = _pack_with_theme(tmp_path, theme)
-    world = load_world(pack)
-    assert world.settings.watch_theme == theme
-
-
-def test_unknown_theme_rejected_naming_the_set(tmp_path: Path) -> None:
-    pack = _pack_with_theme(tmp_path, "ultraviolet")
-    with pytest.raises(WorldLoadError) as exc:
-        load_world(pack)
-    message = str(exc.value)
-    assert "watch_theme" in message
-    assert "ultraviolet" in message
-    # The friendly message lists every legal theme so the author can fix it.
-    for name in WATCH_THEMES:
-        assert name in message
-
-
-def test_omitted_theme_defaults_to_phosphor(tmp_path: Path) -> None:
-    pack = _pack_with_theme(tmp_path, ...)  # delete the key entirely
-    world = load_world(pack)
-    assert world.settings.watch_theme == DEFAULT_WATCH_THEME == "phosphor"
-
-
-def test_shipped_vale_is_phosphor() -> None:
-    """The bundled Vale ships the phosphor theme (its green is unchanged)."""
-    world = load_world(SHIPPED)
-    assert world.settings.watch_theme == "phosphor"
-
-
-# ---------------------------------------------------------------------------
-# payload + WATCH_HTML
-# ---------------------------------------------------------------------------
-
-
-def test_world_payload_carries_theme(tmp_path: Path) -> None:
-    pack = _pack_with_theme(tmp_path, "ice")
-    world = load_world(pack)
-    payload = watch.build_world_payload(world)
-    assert payload["theme"] == "ice"
-
-
-def test_shipped_payload_theme_is_phosphor() -> None:
-    world = load_world(SHIPPED)
-    payload = watch.build_world_payload(world)
-    assert payload["theme"] == "phosphor"
-
-
-def test_watch_html_has_theme_table_and_all_names() -> None:
-    """The page carries a JS THEME table keyed by every legal theme name."""
-    html = watch.WATCH_HTML
-    assert "var THEMES" in html
-    assert "applyTheme" in html
-    for name in WATCH_THEMES:
-        # Each theme is a JS object key, e.g. ``phosphor: {``.
-        assert f"{name}: {{" in html, f"theme {name!r} missing from THEME table"
-
-
-def test_watch_html_phosphor_values_byte_match_original_root() -> None:
-    """The "phosphor" theme reproduces the original :root values exactly.
-
-    This is the load-bearing guard for "the Vale looks identical": every
-    original custom-property value still appears in the page (in the :root block
-    AND the THEME table), so swapping in the phosphor theme is a no-op repaint.
-    """
-    html = watch.WATCH_HTML
-    for prop, value in _ORIGINAL_ROOT.items():
-        # The value lives both in the :root CSS and the phosphor theme entry.
-        assert html.count(value) >= 2, f"{prop} value {value} not byte-matched twice"
-        # And the phosphor theme maps the property to exactly that value.
-        assert f'"{prop}": "{value}"' in html, f"phosphor {prop} != {value}"
-
-
-def test_watch_html_applies_theme_on_world_fetch() -> None:
-    """The page applies the theme when world.json arrives (in paintMap)."""
-    html = watch.WATCH_HTML
-    assert "applyTheme(world.theme)" in html
-    # It swaps CSS custom properties on the document root.
-    assert "documentElement.style.setProperty" in html

examples/door-game/tests/test_world_loader.py

@@ -1,851 +0,0 @@
-"""Content-pack loader tests.
-
-Asserts the shipped pack loads, and that representative malformed packs
-each raise :class:`WorldLoadError` with a readable message: a bad legend
-character, a location placed on non-walkable terrain, a row-width / height
-mismatch, and an economy setting outside its sanity band.
-"""
-
-from __future__ import annotations
-
-import json
-import shutil
-from pathlib import Path
-from typing import Any
-
-import pytest
-
-from understone.errors import WorldLoadError
-from understone.world.loader import load_world
-
-SHIPPED = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-
-def test_shipped_pack_loads() -> None:
-    world = load_world(SHIPPED)
-    assert world.name == "The Vale of Understone"
-    assert world.width == 96
-    assert world.height == 48
-    assert world.is_walkable(*world.spawn)
-    assert len(world.locations) == 4
-    assert len(world.zones) == 2
-    # Tiers 1..5 are the random foes; tier 6 is the boss (the Wyrm Below).
-    assert {m.tier for m in world.monsters} == {1, 2, 3, 4, 5, 6}
-    boss = world.monster_by_id(world.settings.boss_monster)
-    assert boss is not None and boss.boss and boss.name == "the Wyrm Below"
-
-
-def _clone_pack(tmp_path: Path) -> Path:
-    dest = tmp_path / "pack"
-    shutil.copytree(SHIPPED, dest)
-    return dest
-
-
-def _rewrite(path: Path, mutate: Any) -> None:
-    data = json.loads(path.read_text(encoding="utf-8"))
-    mutate(data)
-    path.write_text(json.dumps(data), encoding="utf-8")
-
-
-def test_bad_legend_char_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Splice an unknown glyph into the middle of a terrain row.
-        row = list(data["terrain_rows"][24])
-        row[40] = "Z"
-        data["terrain_rows"][24] = "".join(row)
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="not in the legend"):
-        load_world(pack)
-
-
-def test_location_on_non_walkable_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Move the inn onto a tree-border tile (col 0 is the tree frame).
-        for loc in data["locations"]:
-            if loc["key"] == "inn":
-                loc["x"] = 0
-                loc["y"] = 24
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="non-walkable"):
-        load_world(pack)
-
-
-def test_dimension_mismatch_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Truncate one row so its width no longer matches the declared width.
-        data["terrain_rows"][10] = data["terrain_rows"][10][:-5]
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="wide but width is"):
-        load_world(pack)
-
-
-def test_height_mismatch_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["terrain_rows"] = data["terrain_rows"][:-1]
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="rows but height is"):
-        load_world(pack)
-
-
-def test_settings_out_of_band_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["daily_turns"] = 0  # band is 1..100
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="daily_turns"):
-        load_world(pack)
-
-
-def test_start_hp_zero_rejected(tmp_path: Path) -> None:
-    """A starting HP of 0 is out of band (1..500): a hero must begin alive."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["start_hp"] = 0  # band is 1..500
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="start_hp"):
-        load_world(pack)
-
-
-def test_unknown_starting_item_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["starting_weapon"] = "no_such_blade"
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="not a known item id"):
-        load_world(pack)
-
-
-def test_missing_pack_file_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-    (pack / "monsters.json").unlink()
-    with pytest.raises(WorldLoadError, match="missing pack file"):
-        load_world(pack)
-
-
-def test_monster_nonpositive_hp_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        data[0]["hp"] = 0  # a monster with no hit points is unkillable nonsense
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"monsters\.json\[0\] hp must be >= 1"):
-        load_world(pack)
-
-
-def test_monster_negative_stat_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        data[1]["gold"] = -5
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"monsters\.json\[1\] gold must be >= 0"):
-        load_world(pack)
-
-
-def test_item_negative_price_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        data[1]["price"] = -10  # a negative price would pay the player to take it
-
-    _rewrite(pack / "items.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"items\.json\[1\] price must be >= 0"):
-        load_world(pack)
-
-
-def test_dungeon_tier_without_monster_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Tier 9 has no monster in the pack, so the gauntlet rung is unfillable.
-        data["settings"]["dungeon_tiers"] = [4, 9]
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"dungeon_tiers\[1\] = 9 has no non-boss monster"):
-        load_world(pack)
-
-
-def test_dungeon_tiers_empty_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["dungeon_tiers"] = []
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="dungeon_tiers must be a non-empty list"):
-        load_world(pack)
-
-
-def test_dungeon_tier_backed_only_by_boss_rejected(tmp_path: Path) -> None:
-    """A boss-only tier is unfillable: the gauntlet excludes boss monsters.
-
-    Tier 6 in the shipped pack holds only the Wyrm Below (a boss). A gauntlet
-    rung at tier 6 would draw from monsters_for_tier_band, which filters bosses
-    out, so the rung silently does nothing — the loader must reject it instead.
-    The message says "no NON-boss monster" (not merely "no monster"): the boss
-    is present at that tier, it just cannot fill a rung, and the wording must
-    point the author at exactly that.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["dungeon_tiers"] = [4, 6]  # 6 is the boss-only tier
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"dungeon_tiers\[1\] = 6 has no non-boss monster"):
-        load_world(pack)
-
-
-# ---------------------------------------------------------------------------
-# v0.2 loader rejections: the event table and the Wyrm settings
-# ---------------------------------------------------------------------------
-
-
-def test_events_without_fight_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Strip every fight row; a walk could then never spawn a monster.
-        data["events"] = [e for e in data["events"] if e["kind"] != "fight"]
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match="at least one 'fight' entry"):
-        load_world(pack)
-
-
-def test_event_zero_weight_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["events"][0]["weight"] = 0
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match="weight must be > 0"):
-        load_world(pack)
-
-
-def test_event_min_exceeds_max_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        # Find a value-bearing row and invert its band.
-        for event in data["events"]:
-            if event["kind"] == "gold":
-                event["min"], event["max"] = 9, 2
-                break
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match="min 9 exceeds max 2"):
-        load_world(pack)
-
-
-def test_event_amount_out_of_band_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        for event in data["events"]:
-            if event["kind"] == "heal":
-                event["max"] = 500  # heal band is 1..100
-                break
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"heal amount .* is out of band"):
-        load_world(pack)
-
-
-def test_event_nonfight_blank_text_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        for event in data["events"]:
-            if event["kind"] == "lore":
-                event["text"] = "   "
-                break
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match="requires non-empty 'text'"):
-        load_world(pack)
-
-
-def test_boss_monster_unknown_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["boss_monster"] = "no_such_wyrm"
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="is not a known monster id"):
-        load_world(pack)
-
-
-def test_boss_monster_not_flagged_boss_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        # Give a plain monster an id and point boss_monster at it; it lacks the
-        # boss flag, so it must be rejected as the endgame foe.
-        data[0]["id"] = "field_rat"
-
-    _rewrite(pack / "monsters.json", mutate)
-
-    def point(data: dict[str, Any]) -> None:
-        data["settings"]["boss_monster"] = "field_rat"
-
-    _rewrite(pack / "world.json", point)
-    with pytest.raises(WorldLoadError, match='must be flagged "boss": true'):
-        load_world(pack)
-
-
-def test_wyrm_min_level_out_of_band_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["wyrm_min_level"] = 0  # band is 1..50
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="wyrm_min_level"):
-        load_world(pack)
-
-
-# ---------------------------------------------------------------------------
-# v0.5 social settings: ambush / post / gamble economy bands
-# ---------------------------------------------------------------------------
-
-
-def test_ambush_gold_pct_out_of_band_rejected(tmp_path: Path) -> None:
-    """The steal percentage is a 0..100 band; 101 is rejected by name."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["ambush_gold_pct"] = 101  # band is 0..100
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="ambush_gold_pct"):
-        load_world(pack)
-
-
-def test_ambush_level_band_out_of_band_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["ambush_level_band"] = 11  # band is 0..10
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="ambush_level_band"):
-        load_world(pack)
-
-
-def test_gamble_max_bet_out_of_band_rejected(tmp_path: Path) -> None:
-    """A max bet of 0 is below the 1..10000 floor: the house needs a real stake."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["gamble_max_bet"] = 0  # band is 1..10000
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="gamble_max_bet"):
-        load_world(pack)
-
-
-def test_post_daily_cap_out_of_band_rejected(tmp_path: Path) -> None:
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["post_daily_cap"] = 51  # band is 0..50
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="post_daily_cap"):
-        load_world(pack)
-
-
-def test_missing_social_setting_rejected(tmp_path: Path) -> None:
-    """A pack that predates the social settings fails loudly (no silent default)."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        del data["settings"]["ambush_min_level"]
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="ambush_min_level"):
-        load_world(pack)
-
-
-# ---------------------------------------------------------------------------
-# v0.4 loader hardening: glyphs, map size, count caps, and name lengths
-#
-# Packs are now routinely untrusted LLM output, so the loader bands the shapes
-# that could tear a frame, balloon memory, or impersonate a player. Each
-# rejection still names the file and field at fault.
-# ---------------------------------------------------------------------------
-
-
-def test_box_drawing_terrain_glyph_rejected(tmp_path: Path) -> None:
-    """A terrain glyph may not be a frame box-drawing line (it would tear borders)."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "─"  # the horizontal frame run
-
-    _rewrite(pack / "terrain.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"terrain\.json.* box-drawing"):
-        load_world(pack)
-
-
-def test_player_marker_terrain_glyph_rejected(tmp_path: Path) -> None:
-    """A terrain glyph may not be '@' — that is the player's own marker."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "@"
-
-    _rewrite(pack / "terrain.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"terrain\.json.* reserved for player markers"):
-        load_world(pack)
-
-
-def test_other_player_marker_terrain_glyph_rejected(tmp_path: Path) -> None:
-    """A terrain glyph may not be '☻' — the v0.6 other-player marker."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "☻"
-
-    _rewrite(pack / "terrain.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"terrain\.json.* reserved for player markers"):
-        load_world(pack)
-
-
-def test_ampersand_terrain_glyph_now_accepted(tmp_path: Path) -> None:
-    """'&' is no longer an actor marker (☻ took that role), so it is pack-legal.
-
-    The load itself is the assertion — it must not raise the actor-marker
-    rejection. A grass cell then carries the new glyph.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "&"
-
-    _rewrite(pack / "terrain.json", mutate)
-    world = load_world(pack)  # no WorldLoadError: '&' is admitted
-    grass = next(
-        world.terrain_at(x, y)
-        for y in range(world.height)
-        for x in range(world.width)
-        if world.terrain_at(x, y).key == "grass"
-    )
-    assert grass.glyph == "&"
-
-
-def test_wide_cjk_terrain_glyph_rejected(tmp_path: Path) -> None:
-    """A Wide (EAW=W) ideograph would render two columns and tear the frame."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "龍"
-
-    _rewrite(pack / "terrain.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"terrain\.json.* exactly one column"):
-        load_world(pack)
-
-
-def test_fullwidth_terrain_glyph_rejected(tmp_path: Path) -> None:
-    """A Fullwidth (EAW=F) Latin letter is two columns and is rejected."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["."]["glyph"] = "Ａ"  # U+FF21 FULLWIDTH LATIN CAPITAL LETTER A
-
-    _rewrite(pack / "terrain.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"terrain\.json.* exactly one column"):
-        load_world(pack)
-
-
-def test_reskinned_shipped_pack_glyphs() -> None:
-    """The shipped pack carries the v0.6 re-skin and still loads cleanly.
-
-    The load-bearing guard for the re-skin: water is ≋ and the three lettered
-    buildings became ⌂/✚/∩. If a data edit reverts a glyph, this trips.
-    """
-    world = load_world(SHIPPED)
-    waters = {
-        world.terrain_at(x, y).glyph
-        for y in range(world.height)
-        for x in range(world.width)
-        if world.terrain_at(x, y).key == "water"
-    }
-    assert waters == {"≋"}
-    by_key = {loc.key: loc.glyph for loc in world.locations}
-    assert by_key["inn"] == "⌂"
-    assert by_key["healer"] == "✚"
-    assert by_key["dungeon"] == "∩"
-    assert by_key["shop"] == "$"  # the shop glyph is unchanged
-
-
-def test_multichar_location_glyph_rejected(tmp_path: Path) -> None:
-    """A location glyph must be exactly one character."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["inn"]["glyph"] = "In"  # two characters
-
-    _rewrite(pack / "locations.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"locations\.json.* single character"):
-        load_world(pack)
-
-
-def test_oversized_map_rejected(tmp_path: Path) -> None:
-    """A 300x300 map is past the dimension ceiling (8..256)."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["width"] = 300
-        data["height"] = 300
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"world\.json width = 300 is out of band"):
-        load_world(pack)
-
-
-def test_too_many_events_rejected(tmp_path: Path) -> None:
-    """An event table over the 500-row cap is rejected before it is decoded."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        filler = {"kind": "lore", "weight": 1, "text": "filler"}
-        data["events"] = [filler.copy() for _ in range(501)]
-
-    _rewrite(pack / "events.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"events\.json defines 501 events; the limit is 500"):
-        load_world(pack)
-
-
-def test_overlong_monster_name_rejected(tmp_path: Path) -> None:
-    """A 49-character monster name is one past the 48-char display limit."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        data[0]["name"] = "x" * 49
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"monsters\.json\[0\] name is 49 characters"):
-        load_world(pack)
-
-
-# ---------------------------------------------------------------------------
-# v0.7 loader rejections: the satchel/forge bands, rare_drop_item, monster weight
-# ---------------------------------------------------------------------------
-
-
-def test_rare_drop_item_unknown_rejected(tmp_path: Path) -> None:
-    """A rare_drop_item that names no item is rejected with the item-id message."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["rare_drop_item"] = "no_such_draught"
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="rare_drop_item = 'no_such_draught' is not a known"):
-        load_world(pack)
-
-
-def test_rare_drop_item_non_consumable_rejected(tmp_path: Path) -> None:
-    """A rare_drop_item that names a weapon (not a consumable) is rejected.
-
-    The drop goes straight into the satchel to be quaffed, so a weapon or
-    armour id is incoherent — the loader pins the slot.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["rare_drop_item"] = "iron_sword"  # a weapon, not a draught
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="rare_drop_item = 'iron_sword' must be a consumable"):
-        load_world(pack)
-
-
-def test_satchel_max_out_of_band_rejected(tmp_path: Path) -> None:
-    """satchel_max above its 1..10 band is a load error."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["satchel_max"] = 11
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"satchel_max = 11 is out of band \(1\.\.10\)"):
-        load_world(pack)
-
-
-def test_forge_max_plus_out_of_band_rejected(tmp_path: Path) -> None:
-    """forge_max_plus above its 0..10 band is a load error."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["forge_max_plus"] = 11
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"forge_max_plus = 11 is out of band \(0\.\.10\)"):
-        load_world(pack)
-
-
-def test_forge_base_cost_out_of_band_rejected(tmp_path: Path) -> None:
-    """forge_base_cost below its floor of 1 is a load error."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["forge_base_cost"] = 0
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"forge_base_cost = 0 is out of band \(1\.\.10000\)"):
-        load_world(pack)
-
-
-def test_forge_ore_item_unknown_rejected(tmp_path: Path) -> None:
-    """A forge_ore_item that names no item is rejected with the item-id message."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["forge_ore_item"] = "no_such_ore"
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="forge_ore_item = 'no_such_ore' is not a known"):
-        load_world(pack)
-
-
-def test_forge_ore_item_non_material_rejected(tmp_path: Path) -> None:
-    """A forge_ore_item that names a non-material (a potion) is rejected.
-
-    Ore is carried in the satchel and spent at the forge, never equipped or
-    quaffed, so a consumable/weapon/armour id is incoherent — the loader pins
-    the slot to ``material`` (mirroring the rare_drop_item consumable check).
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["forge_ore_item"] = "greater_potion"  # a draught, not ore
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(
-        WorldLoadError, match="forge_ore_item = 'greater_potion' must be a material"
-    ):
-        load_world(pack)
-
-
-def test_forge_ore_per_plus_out_of_band_rejected(tmp_path: Path) -> None:
-    """forge_ore_per_plus above its 0..10 band is a load error."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["forge_ore_per_plus"] = 11
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"forge_ore_per_plus = 11 is out of band \(0\.\.10\)"):
-        load_world(pack)
-
-
-def test_ore_dungeon_drop_out_of_band_rejected(tmp_path: Path) -> None:
-    """ore_dungeon_drop above its 0..20 band is a load error."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["ore_dungeon_drop"] = 21
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"ore_dungeon_drop = 21 is out of band \(0\.\.20\)"):
-        load_world(pack)
-
-
-def test_ore_forest_chance_out_of_band_rejected(tmp_path: Path) -> None:
-    """ore_forest_chance outside 0.0..1.0 is a load error (it is a probability)."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        data["settings"]["ore_forest_chance"] = 1.5
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(
-        WorldLoadError, match=r"ore_forest_chance = 1.5 is out of band \(0.0..1.0\)"
-    ):
-        load_world(pack)
-
-
-def test_monster_zero_weight_rejected(tmp_path: Path) -> None:
-    """A monster weight of 0 is rejected (the weighted pick needs a positive total)."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        data[0]["weight"] = 0
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"monsters\.json\[0\] weight must be > 0"):
-        load_world(pack)
-
-
-def test_shipped_pack_carries_rares_and_weights() -> None:
-    """The shipped pack parses the v0.7 rare beasts with their low weights."""
-    world = load_world(SHIPPED)
-    rares = [m for m in world.monsters if m.rare]
-    names = {m.name for m in rares}
-    assert names == {"the Gilded Stag", "the Hollow Knight"}
-    assert all(m.weight == 1 for m in rares)  # rares surface seldom
-    # The rare_drop_item resolves to a consumable.
-    drop = world.item_by_id(world.settings.rare_drop_item)
-    assert drop is not None and drop.slot.value == "consumable"
-    # The new economy settings land on their shipped values.
-    assert world.settings.satchel_max == 3
-    assert world.settings.forge_base_cost == 60
-    assert world.settings.forge_max_plus == 3
-    assert world.settings.dungeon_tiers == (3, 4, 5)
-    # v0.10 ore-forge settings resolve, and the forge ore is a material item.
-    assert world.settings.forge_ore_item == "iron_ore"
-    ore = world.item_by_id(world.settings.forge_ore_item)
-    assert ore is not None and ore.slot.value == "material"
-    assert world.settings.forge_ore_per_plus == 1
-    assert world.settings.ore_dungeon_drop == 2
-    assert world.settings.ore_forest_chance == 0.2
-
-
-def test_monster_weight_and_rare_default_when_omitted(tmp_path: Path) -> None:
-    """A monster spec without weight/rare loads as weight 10, rare False.
-
-    Both fields are optional with defaults, so an unannotated common monster
-    (the shipped Field Rat) parses to the default weight and the non-rare flag.
-    """
-    world = load_world(SHIPPED)
-    rat = next(m for m in world.monsters if m.name == "Field Rat")
-    assert rat.weight == 10  # the default biasing weight
-    assert rat.rare is False
-
-
-# ---------------------------------------------------------------------------
-# v0.8 loader hardening: rare-as-rung-guardian and the single-boss invariant
-#
-# AUTHORING states both as rules; v0.8 makes them machine-checked. A rare in
-# the lead slot of a dungeon tier would be silently promoted to a fixed rung
-# guardian (and pulled from the rare pool); a stray second boss would validate
-# clean yet make "the one endgame foe" a lie.
-# ---------------------------------------------------------------------------
-
-
-def test_rare_as_first_dungeon_tier_monster_rejected(tmp_path: Path) -> None:
-    """A rare in the FIRST slot of a dungeon tier becomes a fixed guardian — rejected.
-
-    Tier 3 backs a ``dungeon_tiers`` rung and its first monster (the Forest
-    Wolf) is the rung guardian (``band[0]``). Flagging that lead monster rare
-    would quietly turn the rare into the fixed, repeatable guardian and remove
-    it from the weighted rare roll, so the loader rejects it by name.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        wolf = next(m for m in data if m["name"] == "Forest Wolf")  # first tier-3
-        wolf["rare"] = True
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(
-        WorldLoadError,
-        match=r"'Forest Wolf' is rare but is the first tier-3 monster.*fixed guardian",
-    ):
-        load_world(pack)
-
-
-def test_rare_after_guardian_in_dungeon_tier_accepted(tmp_path: Path) -> None:
-    """A rare placed AFTER the guardian in the same dungeon tier loads cleanly.
-
-    The shipped pack already does exactly this (the Hollow Knight is the third
-    tier-3 entry, behind the Forest Wolf guardian). Inserting another rare also
-    after the guardian must not trip the new check — only the LEAD slot of a
-    dungeon tier is constrained.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        # Splice a second tier-3 rare in just before the boss (well after the
-        # tier-3 guardian), so the tier's first non-boss monster is unchanged.
-        extra = {
-            "tier": 3,
-            "name": "the Ashen Stalker",
-            "hp": 26,
-            "atk": 10,
-            "def": 3,
-            "xp": 55,
-            "gold": 75,
-            "weight": 1,
-            "rare": True,
-        }
-        data.insert(len(data) - 1, extra)
-
-    _rewrite(pack / "monsters.json", mutate)
-    world = load_world(pack)  # no WorldLoadError: the rare is not the lead foe
-    tier3 = world.monsters_for_tier_band(3, 3)
-    assert tier3[0].name == "Forest Wolf"  # the guardian is still the non-rare lead
-    assert any(m.name == "the Ashen Stalker" and m.rare for m in tier3)
-
-
-def test_two_bosses_rejected(tmp_path: Path) -> None:
-    """Two ``boss``-flagged monsters are rejected: a world has exactly one boss."""
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: list[dict[str, Any]]) -> None:
-        # Give the Field Rat the boss flag too; now two monsters claim the role.
-        rat = next(m for m in data if m["name"] == "Field Rat")
-        rat["boss"] = True
-        rat["id"] = "field_rat"
-
-    _rewrite(pack / "monsters.json", mutate)
-    with pytest.raises(WorldLoadError, match=r"flags 2 monsters as .boss.* true"):
-        load_world(pack)
-
-
-def test_single_boss_accepted() -> None:
-    """The shipped pack carries exactly one boss and loads — the single-boss path.
-
-    The positive half of the invariant: the Wyrm Below is the only boss, so the
-    load succeeds and the boss count is exactly one.
-    """
-    world = load_world(SHIPPED)
-    bosses = [m for m in world.monsters if m.boss]
-    assert len(bosses) == 1
-    assert bosses[0].name == "the Wyrm Below"
-
-
-def test_overlapping_zones_rejected(tmp_path: Path) -> None:
-    """Overlapping zone rectangles are a load error.
-
-    ``zone_for`` returns the FIRST matching zone, so two zones sharing any cell
-    would silently shadow one tier band there — exactly the bug a cold-authored
-    pack shipped (a 1-column caldera-edge strip dropped to the low band). Pull
-    the deep zone west so its rect overlaps the near zone and confirm the loader
-    refuses it rather than loading the ambiguity.
-    """
-    pack = _clone_pack(tmp_path)
-
-    def mutate(data: dict[str, Any]) -> None:
-        for zone in data["zones"]:
-            if zone["key"] == "dungeon_deep":
-                zone["rect"][0] = 50  # now overlaps forest_near's x30..60 strip
-
-    _rewrite(pack / "world.json", mutate)
-    with pytest.raises(WorldLoadError, match="overlap"):
-        load_world(pack)

examples/door-game/tests/test_worlds.py

@@ -1,206 +0,0 @@
-"""Tests for bundled-world discovery and the ``worlds`` listing.
-
-Covers the discovery helper (the Vale leads, alternate packs follow
-alphabetically, non-pack directories are skipped) and the ``cli_worlds``
-listing it backs: a sound fixture pack reports "sound", a deliberately-flawed
-fixture pack reports "flawed", and the Vale is always listed first. The
-``packs/`` directory is monkeypatched to a temp fixture tree so these tests
-never depend on the real (separately-authored) second world.
-"""
-
-from __future__ import annotations
-
-import json
-import shutil
-from io import StringIO
-from pathlib import Path
-from typing import TYPE_CHECKING, Any
-
-from understone import cli
-from understone import world as world_pkg
-from understone.world import VALE_SLUG, bundled_world_dirs
-
-if TYPE_CHECKING:
-    import pytest
-
-SHIPPED = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-
-def _make_packs(tmp_path: Path, *, sound: list[str], flawed: dict[str, Any]) -> Path:
-    """Build a temp ``packs/`` tree: sound slugs plus flawed-world slugs.
-
-    Each sound slug is a verbatim copy of the shipped Vale; each flawed slug is
-    a copy whose ``world.json`` is patched with the given settings overrides so
-    it fails to load. Returns the packs root to monkeypatch ``PACKS_DIR`` onto.
-    """
-    packs = tmp_path / "packs"
-    packs.mkdir()
-    for slug in sound:
-        shutil.copytree(SHIPPED, packs / slug)
-    for slug, overrides in flawed.items():
-        dest = packs / slug
-        shutil.copytree(SHIPPED, dest)
-        world_json = dest / "world.json"
-        data = json.loads(world_json.read_text(encoding="utf-8"))
-        data["settings"].update(overrides)
-        world_json.write_text(json.dumps(data), encoding="utf-8")
-    return packs
-
-
-# ---------------------------------------------------------------------------
-# bundled_world_dirs discovery
-# ---------------------------------------------------------------------------
-
-
-def test_bundled_world_dirs_vale_leads_then_alpha(
-    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    packs = _make_packs(tmp_path, sound=["zephyr", "ashfall"], flawed={})
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", packs)
-
-    found = bundled_world_dirs()
-    slugs = [slug for slug, _ in found]
-    # The Vale is always first; alternates follow alphabetically.
-    assert slugs == [VALE_SLUG, "ashfall", "zephyr"]
-    # The Vale entry points at the packaged data dir, not a packs subdir.
-    assert found[0][1] == world_pkg.PACKAGED_WORLD_DIR
-
-
-def test_bundled_world_dirs_skips_non_pack_entries(
-    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    packs = _make_packs(tmp_path, sound=["real"], flawed={})
-    # A README placeholder and a directory with no world.json are NOT worlds.
-    (packs / "README.md").write_text("placeholder", encoding="utf-8")
-    (packs / "empty_dir").mkdir()
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", packs)
-
-    slugs = [slug for slug, _ in bundled_world_dirs()]
-    assert slugs == [VALE_SLUG, "real"]
-
-
-def test_bundled_world_dirs_handles_absent_packs_dir(
-    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    """A missing packs/ directory yields just the Vale (never raises)."""
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", tmp_path / "does_not_exist")
-    found = bundled_world_dirs()
-    assert [slug for slug, _ in found] == [VALE_SLUG]
-
-
-# ---------------------------------------------------------------------------
-# cli_worlds listing
-# ---------------------------------------------------------------------------
-
-
-def test_cli_worlds_lists_vale_sound_first(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", tmp_path / "empty")
-    out, err = StringIO(), StringIO()
-    rc = cli.cli_worlds(out=out, err=err)
-
-    assert rc == 0
-    text = out.getvalue()
-    lines = [ln for ln in text.splitlines() if ln.strip()]
-    # The very first listing line is the Vale, reported sound, with its size.
-    assert lines[0].split()[0] == VALE_SLUG
-    assert "The Vale of Understone" in lines[0]
-    assert "96x48" in lines[0]
-    assert "sound" in lines[0]
-    # The serve hint closes the listing.
-    assert "UNDERSTONE_WORLD=" in text
-    assert "the default Vale needs no setting" in text
-
-
-def test_cli_worlds_reports_sound_alternate(
-    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    packs = _make_packs(tmp_path, sound=["mirefen"], flawed={})
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", packs)
-    out = StringIO()
-    cli.cli_worlds(out=out)
-
-    text = out.getvalue()
-    line = next(ln for ln in text.splitlines() if ln.strip().startswith("mirefen"))
-    assert "sound" in line
-    assert "flawed" not in line
-
-
-def test_cli_worlds_flags_flawed_alternate(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
-    # daily_turns 0 is out of its 1..100 band: the pack fails to load.
-    packs = _make_packs(tmp_path, sound=["sound_one"], flawed={"broken": {"daily_turns": 0}})
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", packs)
-    out = StringIO()
-    rc = cli.cli_worlds(out=out)
-
-    assert rc == 0  # a flawed pack is reported, never fatal
-    text = out.getvalue()
-    broken_line = next(ln for ln in text.splitlines() if ln.strip().startswith("broken"))
-    assert "flawed:" in broken_line
-    assert "daily_turns" in broken_line  # the offending field surfaces
-    # The sound pack alongside it still reports sound — one bad pack doesn't
-    # poison the survey.
-    sound_line = next(ln for ln in text.splitlines() if ln.strip().startswith("sound_one"))
-    assert "sound" in sound_line
-
-
-def test_cli_worlds_vale_sorts_before_flawed_alternate(
-    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    """Even with an alphabetically-earlier flawed pack, the Vale leads."""
-    packs = _make_packs(tmp_path, sound=[], flawed={"aaa_broken": {"start_hp": 0}})
-    monkeypatch.setattr(world_pkg, "PACKS_DIR", packs)
-    out = StringIO()
-    cli.cli_worlds(out=out)
-
-    lines = [ln for ln in out.getvalue().splitlines() if ln.strip()]
-    assert lines[0].split()[0] == VALE_SLUG
-    assert lines[1].strip().startswith("aaa_broken")
-    assert "flawed:" in lines[1]
-
-
-# ---------------------------------------------------------------------------
-# the REAL bundled alternate world (no monkeypatch): The Cinder Wastes
-#
-# The tests above stub PACKS_DIR to a fixture tree so they never depend on the
-# separately-authored pack. These two exercise the actual shipped packs/ — the
-# bundled Cinder Wastes must discover, load, validate, and appear in the listing
-# as sound, so a broken or unbundled alternate trips here.
-# ---------------------------------------------------------------------------
-
-CINDER = Path(__file__).resolve().parents[1] / "understone" / "world" / "packs" / "cinder-wastes"
-
-
-def test_bundled_cinder_wastes_loads_and_validates() -> None:
-    """The bundled Cinder Wastes loads through the (strict v0.8) loader cleanly.
-
-    It is LLM-authored from AUTHORING.md alone, so this is the dogfood proof
-    that the manual + validator produce a pack the real loader accepts — and,
-    after v0.8, one that passes the stricter rare-as-guardian and single-boss
-    checks (its rares sit after their guardians; it has exactly one boss).
-    """
-    from understone.world.loader import load_world
-
-    world = load_world(CINDER)
-    assert world.name == "The Cinder Wastes"
-    assert world.settings.watch_theme == "ember"  # the thematic ember CRT palette
-    bosses = [m for m in world.monsters if m.boss]
-    assert len(bosses) == 1 and bosses[0].name == "the Magma Wyrm"
-    # The boss id resolves and is the declared endgame foe.
-    assert world.settings.boss_monster == "magma_wyrm"
-
-
-def test_cli_worlds_lists_bundled_cinder_wastes_sound() -> None:
-    """`understone worlds` discovers the real bundled Cinder Wastes as sound.
-
-    No monkeypatch: this runs against the actual packs/ directory, so it asserts
-    the genuinely-shipped second world appears in the listing (alongside the
-    fixture-based listing tests above, which stay).
-    """
-    out = StringIO()
-    rc = cli.cli_worlds(out=out)
-
-    assert rc == 0
-    line = next(ln for ln in out.getvalue().splitlines() if ln.strip().startswith("cinder-wastes"))
-    assert "The Cinder Wastes" in line
-    assert "sound" in line
-    assert "flawed" not in line

examples/door-game/tests/test_wyrm.py

@@ -1,600 +0,0 @@
-"""The Wyrm Below — the v0.2 endgame, legacy reset, and the Herald feed.
-
-Drives the challenge verb against the shipped pack: the level gate, the win
-path (Hall of Legends + reincarnation), defeat, and the stalemate flight, plus
-the run-days bookkeeping. Also pins the boss exclusion from random selection
-and proves the new level_up / defeat beats reach OTHER players' Herald.
-
-Negative-test discipline (the level gate):
-  The challenge gate is pinned by ``test_challenge_under_level_refused``. To
-  confirm the assertion has teeth, the implementer temporarily removed the
-  ``if player.level < min_level`` refusal in Game._challenge (letting an
-  under-level hero spend a turn and fight the Wyrm); the test then FAILED on
-  the unchanged-turns assertion (a turn was consumed and the refusal line was
-  absent). The guard was restored. This test is the standing regression.
-"""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-import pytest
-
-from tests.conftest import (
-    fixed_clock,
-    satchel_ids,
-    set_satchel,
-    utc,
-)
-from understone.engine.models import Mode
-from understone.engine.rng import GameRNG
-from understone.game import Game
-from understone.persistence import Store
-from understone.world.loader import load_world
-
-PACK = Path(__file__).resolve().parents[1] / "understone" / "world" / "data"
-
-# Module-local aliases for the shared satchel helpers, keeping the existing
-# call sites (_set_satchel / _satchel_ids) unchanged.
-_set_satchel = set_satchel
-_satchel_ids = satchel_ids
-
-
-@pytest.fixture
-def clock() -> object:
-    return fixed_clock(utc(2026, 6, 12, 10, 0))
-
-
-def _game(tmp_path: Path, clock: object, seed: int = 7) -> Game:
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    return Game(world, store, clock=clock, rng=GameRNG(seed=seed))  # type: ignore[arg-type]
-
-
-# The flat-id-list satchel helpers (_set_satchel / _satchel_ids) live in
-# tests/conftest.py now, shared with the descend suite; they are imported above.
-
-
-def _at_dungeon(game: Game, name: str) -> object:
-    """Place an already-joined player inside the dungeon menu, at the deep floor.
-
-    The challenge verb now gates on depth as well as level: the Wyrm will not
-    stir until the hero has plumbed the deep to its floor. These challenge
-    tests exercise the win/lose/flee paths, not the gate, so the helper puts
-    the hero at the bottom (deepest_rung == the rung count). The depth gate
-    itself is exercised by the dedicated tests in test_descend.py.
-    """
-    player = game.players[name]
-    player.mode = Mode.MENU
-    player.at_location = "dungeon"
-    player.deepest_rung = len(game.world.settings.dungeon_tiers)
-    return player
-
-
-# ---------------------------------------------------------------------------
-# Boss exclusion from random selection
-# ---------------------------------------------------------------------------
-
-
-def test_boss_never_in_any_tier_band(tmp_path: Path, clock: object) -> None:
-    """The Wyrm Below is never returned by monsters_for_tier_band, any band."""
-    game = _game(tmp_path, clock)
-    world = game.world
-    tiers = [m.tier for m in world.monsters]
-    lo, hi = min(tiers), max(tiers)
-    for band_lo in range(lo, hi + 2):
-        for band_hi in range(band_lo, hi + 2):
-            band = world.monsters_for_tier_band(band_lo, band_hi)
-            assert all(not m.boss for m in band)
-            assert all(m.monster_id != "wyrm_below" for m in band)
-
-
-# ---------------------------------------------------------------------------
-# The level gate (negative-tested; see module docstring)
-# ---------------------------------------------------------------------------
-
-
-def test_challenge_under_level_refused(tmp_path: Path, clock: object) -> None:
-    """An under-level hero is turned away in-fiction, spending no turn.
-
-    See the module docstring for the revert-and-observe-failure check proving
-    the gate has teeth.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    assert player.level < game.world.settings.wyrm_min_level
-    before_turns = player.turns_left
-    before_events = len(game.events)
-
-    out = game.action("Brak", "challenge", "", "")
-
-    assert "sixth circle" in out.lower()  # names the threshold in-fiction
-    assert player.turns_left == before_turns  # no turn spent
-    assert player.level == 1  # nothing reset
-    assert len(game.events) == before_events  # no public news
-    assert player.mode is Mode.MENU  # still standing at the dungeon
-
-
-def test_challenge_at_level_threshold_is_allowed(tmp_path: Path, clock: object) -> None:
-    """Exactly at the threshold the challenge proceeds (spends a turn)."""
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-    before_turns = player.turns_left
-
-    out = game.action("Brak", "challenge", "", "")
-
-    assert "sixth circle" not in out.lower()  # not refused
-    assert player.turns_left == before_turns - 1  # a turn was spent
-
-
-def test_challenge_at_zero_turns_refused_clean(tmp_path: Path) -> None:
-    """At the level gate but out of turns, the challenge is refused with no effect.
-
-    A wyrm-eligible hero with an empty daily budget (and no day-roll to refill
-    it) is turned away in-fiction: no turn drops below zero, no Hall row is
-    cut, no public beat is written, wins are untouched — and the no-op player
-    row is still committed (the refusal branch upserts + commits), so a store
-    reopen sees the unchanged hero.
-    """
-    clk = _MutableClock(utc(2026, 6, 12, 10, 0))
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    game = Game(world, store, clock=clk, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level  # eligible
-    player.turns_left = 0  # but spent for the day (same day: no refill)
-    events_before = len(game.events)
-    hall_before = len(game.store.top_hall(50))
-
-    out = game.action("Brak", "challenge", "", "")
-
-    assert "tomorrow" in out.lower()  # the "too spent ... today" refusal
-    assert "sixth circle" not in out.lower()  # not the level gate
-    assert player.turns_left == 0  # never spent below zero
-    assert player.wins == 0  # no win recorded
-    assert len(game.events) == events_before  # no public feed beat
-    assert len(game.store.top_hall(50)) == hall_before  # no Hall row
-    assert player.mode is Mode.MENU  # still standing at the dungeon
-
-    # The refusal branch commits the (unchanged) row: a reopen sees the hero.
-    game.store.close()
-    reopened = Game(world, Store(tmp_path / "game.db"), clock=clk)  # type: ignore[arg-type]
-    assert reopened.players["Brak"].turns_left == 0
-    assert reopened.players["Brak"].wins == 0
-
-
-# ---------------------------------------------------------------------------
-# Win path: Hall of Legends + legacy reset
-# ---------------------------------------------------------------------------
-
-
-def test_challenge_win_resets_with_legacy(tmp_path: Path, clock: object) -> None:
-    """A win records the run, heralds it, and reincarnates the hero with a ★."""
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    # Mid-run state that must be wiped by the reset.
-    player.level, player.xp = 12, 5000
-    player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-    player.gold = 999
-    player.weapon_id, player.armor_id = "war_axe", "chainmail"
-    # State that must SURVIVE the reset.
-    player.turns_left = 4
-    player.log_cursor = 1
-    player.bestow_spent = 7
-    events_before = len(game.events)
-    settings = game.world.settings
-
-    out = game.action("Brak", "challenge", "", "")
-
-    # Win narration and the immortalised run.
-    assert "freed the vale" in out.lower()
-    assert "hall of legends" in out.lower()
-    # The legacy reset wipes xp/gold, so the Wyrm win must NOT narrate a reward
-    # the hero never keeps (the old engine appended "+400 XP, +250 gold." to the
-    # kill line, which _wyrm_won echoed verbatim). The boss's reward never lands.
-    boss = game.world.monster_by_id(game.world.settings.boss_monster)
-    assert boss is not None
-    assert f"+{boss.xp} XP" not in out  # i.e. "+400 XP"
-    assert f"+{boss.gold} gold" not in out  # i.e. "+250 gold"
-    assert "+400 XP" not in out and "+250 gold" not in out
-    hall = game.store.top_hall(5)
-    assert len(hall) == 1
-    assert hall[0].name == "Brak"
-    assert hall[0].level_at_win == 12  # the level at the moment of the kill
-    assert hall[0].run_days == 0  # same UTC day as the join under the frozen clock
-
-    # A public news beat was written (all-caps herald moment).
-    assert len(game.events) == events_before + 1
-    assert game.events[-1].kind == "wyrm_win"
-    assert "WYRM" in game.events[-1].text
-
-    # Reincarnation: stats/gold/gear/position back to first-day values.
-    assert player.wins == 1
-    assert player.level == 1
-    assert player.xp == 0
-    assert player.gold == settings.starting_gold
-    assert player.weapon_id == settings.starting_weapon
-    assert player.armor_id == settings.starting_armor
-    assert player.hp == player.max_hp
-    assert (player.x, player.y) == game.world.spawn
-    assert player.mode is Mode.TILE
-    assert player.at_location == ""
-    # The daily clock and the log cursor were deliberately left alone.
-    assert player.turns_left == 4 - 1  # only the one challenge turn was spent
-    assert player.log_cursor == 1
-    assert player.bestow_spent == 7
-
-
-def test_challenge_win_legacy_reset_spares_the_vault(tmp_path: Path, clock: object) -> None:
-    """The vault SURVIVES a Wyrm-win rebirth; carried gold resets to starting.
-
-    Banked gold is the one wealth (besides the ★) a legacy reset does not clear:
-    the strongbox is the inn's, not the reborn hero's. This deposits gold into
-    the vault through the inn, drives a Wyrm WIN, and asserts ``banked`` is
-    UNCHANGED while ``gold`` drops back to ``starting_gold``.
-
-    Negative-check (the revert-and-observe-failure discipline of this module):
-    the implementer temporarily added ``player.banked = 0`` to
-    Game._reset_with_legacy; this test then FAILED on the unchanged-``banked``
-    assertion (the vault was wiped by the rebirth). The line was restored, so
-    this test is the standing regression that the vault outlives the reset.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = game.players["Brak"]
-    # Bank some gold through the real inn path, then stand at the dungeon floor.
-    player.gold = 200
-    player.mode = Mode.MENU
-    player.at_location = "inn"
-    game.action("Brak", "deposit", "", "", amount=120)
-    assert player.banked == 120 and player.gold == 80  # vault holds; hand drained
-
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-
-    out = game.action("Brak", "challenge", "", "")
-
-    assert "freed the vale" in out.lower()  # a genuine win drove the reset
-    assert player.wins == 1
-    assert player.banked == 120  # the vault is untouched by the rebirth
-    assert player.gold == game.world.settings.starting_gold  # carried wealth resets
-
-
-def test_challenge_win_star_in_rank_and_hall(tmp_path: Path, clock: object) -> None:
-    """After a win, door_rank shows the ★ and renders the Hall of Legends."""
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-    game.action("Brak", "challenge", "", "")
-
-    out = game.rank("Brak")
-    assert "★" in out
-    assert "Hall of Legends" in out
-    assert "Brak" in out
-
-
-def test_two_wins_render_two_stars(tmp_path: Path, clock: object) -> None:
-    """A second Wyrm kill stacks a second ★ on the leaderboard name."""
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    for _ in range(2):
-        player = _at_dungeon(game, "Brak")
-        player.level = game.world.settings.wyrm_min_level
-        player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-        game.action("Brak", "challenge", "", "")
-    assert game.players["Brak"].wins == 2
-    assert "★★" in game.rank("Brak")
-
-
-# ---------------------------------------------------------------------------
-# Lose path and flight
-# ---------------------------------------------------------------------------
-
-
-def test_challenge_loss_bounces_and_heralds(tmp_path: Path, clock: object) -> None:
-    """A defeat drops the hero to 1 HP at the spawn and heralds the devouring."""
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 5, 1, 20, 20  # outmatched
-    events_before = len(game.events)
-
-    out = game.action("Brak", "challenge", "", "")
-
-    assert player.hp == 1
-    assert (player.x, player.y) == game.world.spawn
-    assert player.mode is Mode.TILE
-    assert player.at_location == ""
-    assert player.wins == 0  # a loss is not a win
-    assert len(game.events) == events_before + 1
-    devoured = game.events[-1]
-    assert devoured.kind == "wyrm_lose"
-    # Either phrasing of the devouring names the hero and the Wyrm.
-    assert "Brak" in devoured.text and "Wyrm" in devoured.text
-    assert "lays you low" in out.lower() or "wyrm" in out.lower()
-
-
-def _doomed_wyrm_challenger(game: Game, name: str) -> object:
-    """Stand *name* at the floor, wyrm-eligible, and doomed to a GRINDING loss.
-
-    The stats — modest atk and def, hp 50 below max_hp 80, well off the spawn —
-    make the Wyrm bout a genuine multi-round lethal loss (not a one-shot where
-    no blow lands before the save). hp 50 is none of the potion heal values
-    (15/40/70), so a death-save that sets hp to the potion's heal is unmistakable.
-    """
-    player = _at_dungeon(game, name)
-    player.level = game.world.settings.wyrm_min_level
-    player.x, player.y = 35, 25  # away from the spawn (a save never moves them)
-    player.atk, player.def_, player.hp, player.max_hp = 6, 12, 50, 80
-    return player
-
-
-def test_challenge_loss_with_potion_survives_no_legacy_reset(tmp_path: Path, clock: object) -> None:
-    """A lethal Wyrm bout with a potion is SURVIVED — no bounce, no legacy reset.
-
-    The universal death-save reaches the Wyrm: a carried draught is drunk instead
-    of the devouring. A save is NOT a win, so NOTHING resets — level, gold, and
-    ``deepest_rung`` all stand — and it is NOT the devouring either, so the hero
-    keeps their place at the dungeon. The PUBLIC beat is the survival one
-    (``wyrm_flee``, "driven back, alive but unproven"), NEVER "devoured". The
-    turn is still spent and the draught is consumed.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _doomed_wyrm_challenger(game, "Brak")
-    potion = game.world.item_by_id("greater_potion")
-    assert potion is not None
-    _set_satchel(game, player, ["greater_potion"])
-    floor = len(game.world.settings.dungeon_tiers)
-    spawn = game.world.spawn
-    before_turns = player.turns_left
-    before_level, before_gold = player.level, player.gold
-    events_before = len(game.events)
-
-    out = game.action("Brak", "challenge", "", "")
-
-    # Survived standing: hp at the potion's value, no bounce, draught spent.
-    assert player.hp == min(player.max_hp, potion.heal)
-    assert (player.x, player.y) != spawn  # NOT bounced to the spawn
-    assert player.mode is Mode.MENU  # still standing at the dungeon
-    assert _satchel_ids(game, player) == []  # the draught was spent
-    assert "death's edge" in out.lower()  # the spliced survival line
-    assert player.turns_left == before_turns - 1  # the challenge still cost a turn
-    # No win, so NO legacy reset: level, gold, and depth all stand.
-    assert player.wins == 0
-    assert player.level == before_level
-    assert player.gold == before_gold
-    assert player.deepest_rung == floor  # depth untouched (no reset to 0)
-    # The PUBLIC beat is the survival one, NOT the devouring.
-    assert len(game.events) == events_before + 1
-    beat = game.events[-1]
-    assert beat.kind == "wyrm_flee"
-    assert beat.kind != "wyrm_lose"
-    assert "fled" in beat.text.lower() or "ran" in beat.text.lower()
-
-
-def test_challenge_loss_potion_negative_without_save_devours(
-    tmp_path: Path, clock: object, monkeypatch: pytest.MonkeyPatch
-) -> None:
-    """NEGATIVE TEST: with the death-save disabled, the same potion-carrier is devoured.
-
-    The mechanical equivalent of reverting the added ``_death_save`` call in
-    ``_wyrm_lost``: we stub ``_death_save`` to always decline, then run the exact
-    scenario of the survival test. The potion-carrier must now bounce to the
-    spawn at 1 HP with the draught UNSPENT and the PUBLIC beat back to
-    ``wyrm_lose`` (devoured) — proving the death-save (not some other path) is
-    what saves them at the Wyrm. Restoring the real method (automatic when the
-    patch lifts) restores the survival behaviour.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _doomed_wyrm_challenger(game, "Brak")
-    _set_satchel(game, player, ["greater_potion"])
-    floor = len(game.world.settings.dungeon_tiers)
-    spawn = game.world.spawn
-
-    monkeypatch.setattr(Game, "_death_save", lambda self, pl, lines: False)
-    out = game.action("Brak", "challenge", "", "")
-
-    assert player.hp == 1  # devoured, not saved
-    assert (player.x, player.y) == spawn
-    assert player.mode is Mode.TILE
-    assert player.deepest_rung == floor  # a defeat keeps depth (no reset, no advance)
-    assert _satchel_ids(game, player) == ["greater_potion"]  # the draught is UNSPENT
-    assert "death's edge" not in out.lower()  # no save, no dramatic line
-    assert game.events[-1].kind == "wyrm_lose"  # the devouring beat, not the survival one
-
-
-def test_challenge_stalemate_counts_as_flight(tmp_path: Path, clock: object) -> None:
-    """A 50-round stalemate resolves as a flight: a wyrm_flee news beat.
-
-    With atk == boss def (no kill possible in the round cap) and enough HP to
-    outlast the boss's chip damage, resolve_fight returns FLED deterministically.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 8, 24, 200, 200
-    events_before = len(game.events)
-
-    game.action("Brak", "challenge", "", "")
-
-    assert player.wins == 0
-    assert player.hp >= 1  # never killed by a flight
-    assert len(game.events) == events_before + 1
-    assert game.events[-1].kind == "wyrm_flee"
-    assert "fled" in game.events[-1].text.lower() or "ran" in game.events[-1].text.lower()
-
-
-# ---------------------------------------------------------------------------
-# run_days from a frozen, advanced clock
-# ---------------------------------------------------------------------------
-
-
-class _MutableClock:
-    """A clock whose reported moment can be advanced between calls."""
-
-    def __init__(self, moment: object) -> None:
-        self.moment = moment
-
-    def __call__(self) -> object:
-        return self.moment
-
-
-def test_run_days_counts_whole_days(tmp_path: Path) -> None:
-    """Joining, advancing the clock three days, then winning records run_days==3."""
-    clk = _MutableClock(utc(2026, 6, 12, 10, 0))
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    game = Game(world, store, clock=clk, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-    game.join("Brak")
-    player = _at_dungeon(game, "Brak")
-    player.level = game.world.settings.wyrm_min_level
-    player.atk, player.def_, player.hp, player.max_hp = 500, 100, 500, 500
-
-    clk.moment = utc(2026, 6, 15, 12, 0)  # three days (and a couple hours) later
-    game.action("Brak", "challenge", "", "")
-
-    hall = game.store.top_hall(1)
-    assert hall[0].run_days == 3
-
-
-def test_top_hall_orders_most_recent_first(tmp_path: Path) -> None:
-    """Two heroes slay the Wyrm at advancing times; the latest tops the Hall.
-
-    Pins ``ORDER BY id DESC`` in ``Store.top_hall`` — the most recently cut
-    run is at index 0, regardless of name or level-at-win order.
-    """
-    clk = _MutableClock(utc(2026, 6, 12, 10, 0))
-    world = load_world(PACK)
-    store = Store(tmp_path / "game.db")
-    game = Game(world, store, clock=clk, rng=GameRNG(seed=7))  # type: ignore[arg-type]
-
-    def _win(name: str) -> None:
-        game.join(name)
-        hero = _at_dungeon(game, name)
-        hero.level = game.world.settings.wyrm_min_level
-        hero.atk, hero.def_, hero.hp, hero.max_hp = 500, 100, 500, 500
-        game.action(name, "challenge", "", "")
-
-    _win("Early")
-    clk.moment = utc(2026, 6, 13, 10, 0)  # a day later
-    _win("Later")
-
-    hall = game.store.top_hall(5)
-    assert len(hall) == 2
-    assert hall[0].name == "Later"  # most recent run is first
-    assert hall[1].name == "Early"
-
-
-# ---------------------------------------------------------------------------
-# Shared-feed proof: level_up and defeat reach ANOTHER player's Herald
-# ---------------------------------------------------------------------------
-
-
-def test_multi_level_jump_is_one_feed_beat_naming_final_level(
-    tmp_path: Path, clock: object
-) -> None:
-    """A single award crossing two thresholds posts ONE level_up beat, at the top.
-
-    With xp parked just under the level-3 line while still level 1, one forest
-    kill vaults the hero past both the level-2 and level-3 thresholds. The
-    public feed must carry exactly one level_up beat — a multi-level jump is one
-    notable moment, not a flood — and that beat must name the FINAL level (3),
-    not the intermediate one.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Climber")
-    climber = game.players["Climber"]
-    climber.x, climber.y = 35, 25  # forest_near zone
-    climber.atk, climber.def_, climber.hp, climber.max_hp = 100, 50, 100, 100
-    # Level 1 but xp just under L3 (300): the smallest forest reward (8) crosses
-    # both L2 (100) and L3 (300) in this one award.
-    climber.level, climber.xp = 1, 295
-    events_before = len(game.events)
-
-    game.action("Climber", "fight", "", "")
-
-    assert climber.level == 3  # vaulted two levels on the single kill
-    new_events = game.events[events_before:]
-    level_ups = [e for e in new_events if e.kind == "level_up"]
-    assert len(level_ups) == 1  # one beat, not one per level crossed
-    assert "level 3" in level_ups[0].text.lower()  # names the final level
-    assert "level 2" not in level_ups[0].text.lower()  # not the intermediate
-
-
-def test_level_up_appears_in_other_players_herald(tmp_path: Path, clock: object) -> None:
-    """A level-up by one hero is news in another hero's Herald."""
-    game = _game(tmp_path, clock)
-    game.join("Riser")
-    game.join("Watcher")
-    watcher = game.players["Watcher"]
-    watcher.log_cursor = game._latest_event_id()  # start Watcher caught up
-
-    riser = game.players["Riser"]
-    riser.x, riser.y = 35, 25  # forest_near zone
-    riser.atk, riser.def_, riser.hp, riser.max_hp = 100, 50, 100, 100
-    riser.xp = 95  # one win (>= 8 xp) crosses the level-2 threshold of 100
-    game.action("Riser", "fight", "", "")
-    assert riser.level >= 2  # the fight pushed Riser over the line
-
-    out = game.log("Watcher")
-    assert "Riser" in out
-    assert "level 2" in out.lower()
-
-
-def test_defeat_appears_in_other_players_herald(tmp_path: Path, clock: object) -> None:
-    """A defeat by a regular monster is news in another hero's Herald."""
-    game = _game(tmp_path, clock)
-    game.join("Faller")
-    game.join("Watcher")
-    watcher = game.players["Watcher"]
-    watcher.log_cursor = game._latest_event_id()
-
-    faller = game.players["Faller"]
-    faller.x, faller.y = 35, 25  # forest_near zone
-    faller.atk, faller.def_, faller.hp, faller.max_hp = 1, 0, 2, 20  # certain to fall
-    game.action("Faller", "fight", "", "")
-    assert faller.hp == 1  # bounced
-
-    out = game.log("Watcher")
-    assert "Faller" in out
-    assert "dragged back" in out.lower() or "fell to" in out.lower() or "bested" in out.lower()
-
-
-# ---------------------------------------------------------------------------
-# Movement events at the façade: no turn, no public feed
-# ---------------------------------------------------------------------------
-
-
-def test_move_events_cost_no_turn_and_write_no_feed(tmp_path: Path, clock: object) -> None:
-    """A walk that fires non-combat events spends no turn and posts no Herald news.
-
-    Walks Brak back and forth across the forest_near zone (encounter_rate 0.25)
-    enough that some non-fight event almost certainly fires; whatever happens,
-    no turn is consumed and no public event is appended.
-    """
-    game = _game(tmp_path, clock)
-    game.join("Brak")
-    player = game.players["Brak"]
-    player.x, player.y = 35, 25  # inside forest_near
-    before_turns = player.turns_left
-    before_events = len(game.events)
-
-    for _ in range(12):
-        game.move("Brak", "", "east", 1)
-        game.move("Brak", "", "west", 1)
-
-    assert player.turns_left == before_turns  # movement never costs a turn
-    assert len(game.events) == before_events  # walk texture is private

examples/door-game/understone/__init__.py

@@ -1,3 +0,0 @@
-"""Understone — a BBS-style ANSI door game served over MCP."""
-
-__version__ = "0.10.0"