diff --git a/.config/mise/config.toml b/.config/mise/config.toml
index c3d96926ad7..7ded92ead78 100644
--- a/.config/mise/config.toml
+++ b/.config/mise/config.toml
@@ -16,7 +16,7 @@ node        = { version = "22.21.1", postinstall = "corepack enable" }
 
 # Helper to install tools
 cargo-binstall = "1.19.1"
-uv             = "0.11.18"
+uv             = "0.11.28"
 
 # Tools to compile the project
 'cargo:wasm-opt'  = "0.116.1"
diff --git a/.config/mise/mise.lock b/.config/mise/mise.lock
index a0b941c3084..91919b0877f 100644
--- a/.config/mise/mise.lock
+++ b/.config/mise/mise.lock
@@ -231,31 +231,31 @@ version = "0.7.1"
 backend = "ubi:terrastruct/d2"
 
 [[tools.uv]]
-version = "0.11.18"
+version = "0.11.28"
 backend = "aqua:astral-sh/uv"
 
 [tools.uv."platforms.linux-arm64"]
-checksum = "sha256:6d895725333680bf7633ad635baff8e49dc45d3b52e00b2b3adf6ced41f2ebe2"
-url = "https://github.com/astral-sh/uv/releases/download/0.11.18/uv-aarch64-unknown-linux-musl.tar.gz"
-url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/435541698"
+checksum = "sha256:da10cdfa7d92212b7acb62021a0fd61bcf8580c58c3632ec915d10c3a1a7906b"
+url = "https://github.com/astral-sh/uv/releases/download/0.11.28/uv-aarch64-unknown-linux-musl.tar.gz"
+url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/469655715"
 provenance = "github-attestations"
 
 [tools.uv."platforms.linux-x64"]
-checksum = "sha256:a095a969fc8357f42e35652e0554525a47a29010ddb814bd82650c2ffa7d6d62"
-url = "https://github.com/astral-sh/uv/releases/download/0.11.18/uv-x86_64-unknown-linux-musl.tar.gz"
-url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/435541798"
+checksum = "sha256:f02146b371c35c287d860f003ece7345c86e358a3fd70a9b63700cd141ee7fb4"
+url = "https://github.com/astral-sh/uv/releases/download/0.11.28/uv-x86_64-unknown-linux-musl.tar.gz"
+url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/469655835"
 provenance = "github-attestations"
 
 [tools.uv."platforms.macos-arm64"]
-checksum = "sha256:1a7adf8dadae3b55853115d13a8bf564d219597ad13824b93b213706933863e5"
-url = "https://github.com/astral-sh/uv/releases/download/0.11.18/uv-aarch64-apple-darwin.tar.gz"
-url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/435541676"
+checksum = "sha256:33540eb7c883ab857eff79bd5ac2aa31fe27b595abecb4a9c003a2c998447232"
+url = "https://github.com/astral-sh/uv/releases/download/0.11.28/uv-aarch64-apple-darwin.tar.gz"
+url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/469655699"
 provenance = "github-attestations"
 
 [tools.uv."platforms.macos-x64"]
-checksum = "sha256:00a61e3db99b53c927a7e6c4ccdccb898aa3253d07928822211e9dc570a25661"
-url = "https://github.com/astral-sh/uv/releases/download/0.11.18/uv-x86_64-apple-darwin.tar.gz"
-url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/435541772"
+checksum = "sha256:2ad79983127ffca7d77b77ce6a24278d7e4f7b817a1acf72fea5f8124b4aac5e"
+url = "https://github.com/astral-sh/uv/releases/download/0.11.28/uv-x86_64-apple-darwin.tar.gz"
+url_api = "https://api.github.com/repos/astral-sh/uv/releases/assets/469655811"
 provenance = "github-attestations"
 
 [[tools.yq]]
diff --git a/.config/mise/tasks/fix/python.sh b/.config/mise/tasks/fix/python.sh
new file mode 100755
index 00000000000..741bf95a39c
--- /dev/null
+++ b/.config/mise/tasks/fix/python.sh
@@ -0,0 +1,7 @@
+#!/usr/bin/env bash
+#MISE description="Fix Python: sync lockfile, apply ruff autofixes and formatting"
+set -euo pipefail
+
+mise exec uv -- uv sync
+mise exec uv -- uv run --frozen ruff check --fix .
+mise exec uv -- uv run --frozen ruff format .
diff --git a/.config/mise/tasks/lint/python.sh b/.config/mise/tasks/lint/python.sh
new file mode 100755
index 00000000000..536a891b310
--- /dev/null
+++ b/.config/mise/tasks/lint/python.sh
@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+#MISE description="Lint Python: lock stability, workspace sync, ruff format + lint, ty type checks, tach architecture checks"
+set -uo pipefail
+
+FAILED=0
+
+run() {
+    echo "$ $*"
+    mise exec uv -- "$@" || FAILED=1
+}
+
+# `--locked` doubles as the uv.lock stability check: it fails if the lockfile
+# is out of sync with the workspace manifests.
+run uv sync --locked
+# Boundaries: explicit workspace membership, uniform requires-python, shared
+# tool pins, and generated package.json turbo wiring.
+run uv run --frozen repo-chores sync --check
+# Dependency rules: fully bounded version ranges, registry-only sources.
+run uv run --frozen repo-chores lint
+run uv run --frozen ruff format --check .
+run uv run --frozen ruff check .
+run uv run --frozen ty check
+run uv run --frozen tach check
+run uv run --frozen tach check-external
+
+exit "$FAILED"
diff --git a/.config/mise/tasks/sync/python.sh b/.config/mise/tasks/sync/python.sh
new file mode 100755
index 00000000000..643d6cc871b
--- /dev/null
+++ b/.config/mise/tasks/sync/python.sh
@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+#MISE description="Synchronize Python workspace membership, version bounds, and generated package.json wiring"
+set -euo pipefail
+
+# Unfrozen on purpose: this is a fix task, so a stale uv.lock is expected
+# input. `uv run` refreshes the lock and environment before running the tool.
+mise exec uv -- uv run repo-chores sync
+# Membership or dependency fixes change the workspace graph; refresh the lock
+# and environment again so the result is immediately usable.
+mise exec uv -- uv lock
+mise exec uv -- uv sync
diff --git a/.dockerignore b/.dockerignore
index 61a8cd29fc9..a251fe11f19 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -136,6 +136,7 @@ blocks/**/.env
 **/pip-delete-this-directory.txt
 **/.mypy_cache
 **/.pytest_cache
+**/.ruff_cache
 **/.hypothesis
 **/wheels
 
diff --git a/.github/actions/prune-repository/action.yml b/.github/actions/prune-repository/action.yml
index a1133a75169..8474d9cf28f 100644
--- a/.github/actions/prune-repository/action.yml
+++ b/.github/actions/prune-repository/action.yml
@@ -12,12 +12,15 @@ runs:
       shell: bash
       env:
         SCOPE: ${{ inputs.scope }}
-      run: python3 ${{ github.action_path }}/prune.py "$SCOPE"
+      # Executed directly: pruning happens before any dependencies are
+      # installed, so the script relies on the stdlib alone. `repo-chores
+      # prune` wraps the same logic for use inside the workspace environment.
+      run: python3 libs/@local/repo-chores/python/repo_chores/prune.py "$SCOPE"
 
     - name: Copy required files
       shell: bash
       run: |
-        cp -R Cargo.toml Cargo.lock rust-toolchain.toml oxfmt.config.ts infra/ out/
+        cp -R Cargo.toml Cargo.lock rust-toolchain.toml oxfmt.config.ts pyproject.toml uv.lock infra/ out/
 
         # Globs are fun, especially in Bash. Covers all dot-files except `.`, `..`, and `.git`.
         shopt -s extglob
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index c8b85c97272..535bd1e1be0 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -97,6 +97,10 @@ jobs:
             | jq '[.tasks[] | select(.task == "lint:clippy" and .command != "<NONEXISTENT>")] != []' || echo 'false')
           echo "clippy=$CLIPPY" | tee -a $GITHUB_OUTPUT
 
+          RUFF=$(turbo run lint:ruff --filter '${{ matrix.name }}' --dry-run=json \
+            | jq '[.tasks[] | select(.task == "lint:ruff" and .command != "<NONEXISTENT>")] != []' || echo 'false')
+          echo "ruff=$RUFF" | tee -a $GITHUB_OUTPUT
+
           HAS_RUST=$([[ -f "${{ matrix.path }}/Cargo.toml" || ${{ matrix.path }} = "apps/hash-graph" ]] && echo 'true' || echo 'false')
           echo "has-rust=$HAS_RUST" | tee -a $GITHUB_OUTPUT
 
@@ -129,6 +133,10 @@ jobs:
         if: always() && steps.lints.outputs.tsc == 'true'
         run: turbo run lint:tsc --filter "${{ matrix.name }}"
 
+      - name: Run ruff
+        if: always() && steps.lints.outputs.ruff == 'true'
+        run: turbo run lint:ruff --filter "${{ matrix.name }}"
+
       - name: Run rustfmt
         if: always() && steps.lints.outputs.has-rust == 'true'
         working-directory: ${{ matrix.path }}
@@ -282,6 +290,20 @@ jobs:
             exit 1
           fi
 
+      - name: Run yarn lint:python
+        if: ${{ success() || failure() }}
+        run: |
+          if ! yarn lint:python; then
+            echo ''
+            echo ''
+            echo 'ℹ️ ℹ️ ℹ️'
+            echo 'Python checks failed (uv.lock stability, ruff, ty, or tach).'
+            echo 'Try running `yarn fix:python` locally to apply autofixes;'
+            echo 'ty and tach findings need to be fixed by hand.'
+            echo 'ℹ️ ℹ️ ℹ️'
+            exit 1
+          fi
+
       - name: Validate Claude Code skills
         if: ${{ success() || failure() }}
         run: |
diff --git a/.gitignore b/.gitignore
index d36c8241fe1..563dd821f72 100644
--- a/.gitignore
+++ b/.gitignore
@@ -123,6 +123,7 @@ blocks/**/.env
 **/pip-delete-this-directory.txt
 **/.mypy_cache
 **/.pytest_cache
+**/.ruff_cache
 **/.hypothesis
 **/wheels
 
diff --git a/.lefthook.yml b/.lefthook.yml
index f5dcdb9b442..6d45320cadb 100644
--- a/.lefthook.yml
+++ b/.lefthook.yml
@@ -31,6 +31,11 @@ pre-commit:
       glob: "*.rs"
       run: rustfmt {staged_files} || true
       stage_fixed: true
+    python:
+      tags: [backend, style]
+      glob: "*.py"
+      run: uv run --frozen ruff check --fix {staged_files} && uv run --frozen ruff format {staged_files} || true
+      stage_fixed: true
     toml:
       tags: [backend, style]
       glob: "*.toml"
diff --git a/AGENTS.md b/AGENTS.md
index 2575a5db8ff..eaee593d775 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -61,9 +61,11 @@ The HASH repository is organized into several key directories:
 - TypeScript type check: `yarn lint:tsc`
 - ESLint: `yarn lint:eslint`
 - Formatting check: `yarn lint:format`
+- Python (ruff, ty, tach, dependency bounds, uv.lock stability, workspace sync): `mise run lint:python`
 
 - Fix ESLint issues: `yarn fix:eslint`
 - Fix formatting: `yarn fix:format`
+- Fix Python (ruff autofixes + formatting, lock refresh): `mise run fix:python`
 
 ### For Specific Packages
 
@@ -77,6 +79,10 @@ turbo run <command> --filter '<package-name>'
 cargo nextest run --package <package-name>
 cargo test --package <package-name> --doc  # For doc tests
 cargo clippy --all-features --package <package-name>
+
+# For Python packages (from the package directory)
+uv run --frozen pytest tests
+uv run --frozen ruff check .
 ```
 
 For Rust packages, you can add features as needed with `--all-features`, specific features like `--features=foo,bar`, or use `cargo-hack` with `--feature-powerset` for comprehensive feature testing.
@@ -91,6 +97,16 @@ mise run sync:turborepo    # sync package.json identity + deps from Cargo.toml m
 
 `sync:turborepo` only manages that generated wiring — the `scripts` section is hand-maintained and is used by CI and Turborepo (e.g. `test:unit`, `lint:clippy`, `doc:dependency-diagram`), so add or edit scripts by hand. The task wraps the `repo-chores` CLI; the equivalent direct invocation is `cargo run --package hash-repo-chores --bin repo-chores-cli -- sync-turborepo`. A related task, `mise run fix:package-json`, sorts `package.json` keys consistently.
 
+### Monorepo wiring for Python packages
+
+Python packages form a single uv workspace rooted at the repository's `pyproject.toml` (shared lockfile, virtual environment, and ruff/ty/tach configuration; Python version bound `>=3.14,<3.15`). After **adding, removing, or renaming a Python package**, or changing its workspace dependencies, re-sync the generated wiring:
+
+```bash
+mise run sync:python    # membership, requires-python, dev pins, package.json wiring, uv.lock
+```
+
+The task wraps the Python `repo-chores` CLI (`libs/@local/repo-chores/python`; direct invocation: `uv run repo-chores sync`). Unlike the Rust wiring, the managed `package.json` includes baseline `scripts` (`lint:ruff`, `fix:ruff`, and `test:unit` when a `tests/` directory exists) — ruff and pytest are requirements, not opt-ins. Extra scripts and other keys are preserved. CI runs `repo-chores sync --check` and fails on any drift, including `pyproject.toml` files that are not workspace members. Import boundaries for new packages are declared in a `tach.domain.toml` next to the package's code; global tach settings live under `[tool.tach]` in the root `pyproject.toml`.
+
 ## Documentation Maintenance
 
 ### Petrinaut user-facing docs
diff --git a/README.md b/README.md
index 19b4d076664..8c8659749de 100644
--- a/README.md
+++ b/README.md
@@ -209,6 +209,39 @@ This repository's contents is divided across several primary sections:
 
 </details>
 
+<details>
+  <summary> &nbsp; Python tooling</summary>
+
+### Python tooling
+
+Python packages are managed as a single [uv](https://docs.astral.sh/uv/) workspace rooted at [`pyproject.toml`](/pyproject.toml), pinned to Python 3.14 (uv downloads the interpreter automatically; `mise install` provides uv itself). All packages share one lockfile (`uv.lock`), one virtual environment (`.venv`), and the workspace-level tool configuration:
+
+- **[ruff](https://docs.astral.sh/ruff/)** — linting (`ALL` rules + preview, with curated exceptions) and formatting
+- **[ty](https://docs.astral.sh/ty/)** — type checking
+- **[tach](https://docs.gauge.sh/)** — import-boundary and layering checks, configured under `[tool.tach]` in the root `pyproject.toml`
+- **pytest** — tests, run per-package through turbo (`test:unit`)
+
+Common commands:
+
+```sh
+uv sync                    # create/refresh .venv from uv.lock
+mise run lint:python       # everything CI runs: lock stability, sync --check, dependency lint, ruff, ty, tach
+mise run fix:python        # apply ruff autofixes + formatting, refresh the lock
+mise run sync:python       # regenerate the boring parts (see below)
+```
+
+To add a new Python package, create a directory with a `pyproject.toml` (any location; `libs/` or `tools/` are conventional) and run `mise run sync:python`. The sync command — implemented by [`libs/@local/repo-chores/python`](/libs/@local/repo-chores/python), the Python sibling of the Rust `sync-turborepo` tooling — generates and enforces:
+
+- explicit membership in the root `[tool.uv.workspace]` (no globs; CI fails on unlisted packages),
+- a uniform `requires-python` bound across every member (the Python 3.14 boundary),
+- shared ruff/pytest pins in each member's dev group,
+- each member's `package.json` turbo wiring (`@python/<name>` with managed `lint:ruff`/`fix:ruff`/`test:unit` scripts and `workspace:*` dependencies mirroring `[tool.uv.sources]`),
+- coverage by the root `package.json` yarn workspace globs, plus the managed ruff `src` and pytest `testpaths` arrays.
+
+Module boundaries for new packages are declared in a `tach.domain.toml` next to the package's code (layer assignments; see [`libs/@local/repo-chores/python/repo_chores/tach.domain.toml`](/libs/@local/repo-chores/python/repo_chores/tach.domain.toml)). CI prunes per-package jobs with `turbo prune` (via `repo-chores prune`), which keeps the pruned tree a valid uv workspace by copying the manifests of pruned-out members.
+
+</details>
+
 <details>
   <summary> &nbsp; Environment variables</summary>
 
diff --git a/apps/petrinaut-opt/openapi/openapi.json b/apps/petrinaut-opt/openapi/openapi.json
index 1c6baa01e1f..eeac25cb4eb 100644
--- a/apps/petrinaut-opt/openapi/openapi.json
+++ b/apps/petrinaut-opt/openapi/openapi.json
@@ -14,6 +14,7 @@
         "title": "HTTPValidationError",
         "type": "object"
       },
+      "JsonValue": {},
       "Phase": {
         "enum": [
           "idle",
@@ -143,7 +144,9 @@
           "content": {
             "application/json": {
               "schema": {
-                "additionalProperties": true,
+                "additionalProperties": {
+                  "$ref": "#/components/schemas/JsonValue"
+                },
                 "title": "Optimization Manifest",
                 "type": "object"
               }
@@ -201,7 +204,9 @@
           "content": {
             "application/json": {
               "schema": {
-                "additionalProperties": true,
+                "additionalProperties": {
+                  "$ref": "#/components/schemas/JsonValue"
+                },
                 "title": "Optimization Manifest",
                 "type": "object"
               }
diff --git a/apps/petrinaut-opt/package.json b/apps/petrinaut-opt/package.json
index 40010ca846a..cc0c43dd9e9 100644
--- a/apps/petrinaut-opt/package.json
+++ b/apps/petrinaut-opt/package.json
@@ -1,14 +1,16 @@
 {
-  "name": "@apps/petrinaut-opt",
+  "name": "@python/petrinaut-optimization",
   "version": "0.0.0-private",
   "private": true,
   "description": "Scenario-parameter optimization for Petrinaut using Optuna",
   "license": "(MIT OR Apache-2.0)",
   "scripts": {
     "codegen": "uv run python -m scripts.generate_openapi",
+    "fix:ruff": "uv run --frozen ruff check --fix . && uv run --frozen ruff format .",
     "install:deps": "uv sync",
+    "lint:ruff": "uv run --frozen ruff check . && uv run --frozen ruff format --check .",
     "start": "uv run uvicorn src.optimization_api:app",
     "start:dev": "uv run uvicorn src.optimization_api:app --reload",
-    "test:unit": "uv run pytest && yarn codegen && git diff --exit-code -- openapi/openapi.json"
+    "test:unit": "uv run --frozen pytest tests"
   }
 }
diff --git a/apps/petrinaut-opt/pyproject.toml b/apps/petrinaut-opt/pyproject.toml
index 8c53cb83ab2..0eea9c6d64d 100644
--- a/apps/petrinaut-opt/pyproject.toml
+++ b/apps/petrinaut-opt/pyproject.toml
@@ -3,7 +3,7 @@ name = "petrinaut-optimization"
 version = "0.1.0"
 description = "Scenario-parameter optimization for Petrinaut using Optuna"
 readme = "README.md"
-requires-python = ">=3.10.20"
+requires-python = ">=3.14,<3.15"
 dependencies = [
     "fastapi>=0.128.8",
     "opentelemetry-exporter-otlp-proto-grpc>=1.44.0",
@@ -11,14 +11,16 @@ dependencies = [
     "opentelemetry-instrumentation-fastapi>=0.65b0",
     "opentelemetry-sdk>=1.44.0",
     "optuna>=3.6",
+    "pydantic>=2.13.4,<3.0.0",
     "python-dotenv>=1.0.0",
     "uvicorn[standard]>=0.39.0",
 ]
 
 [dependency-groups]
 dev = [
-    "httpx>=0.28",
-    "pytest>=8.3",
+    "httpx2>=2.7.0,<3",
+    "pytest>=9.1.1,<10",
+    "ruff>=0.15.21,<0.16",
 ]
 
 [tool.pytest.ini_options]
diff --git a/apps/petrinaut-opt/scripts/generate_openapi.py b/apps/petrinaut-opt/scripts/generate_openapi.py
index ebe6a4fa49f..0bec1836e9a 100644
--- a/apps/petrinaut-opt/scripts/generate_openapi.py
+++ b/apps/petrinaut-opt/scripts/generate_openapi.py
@@ -1,13 +1,10 @@
 """Write the FastAPI OpenAPI schema used by TypeScript code generation."""
 
-from __future__ import annotations
-
 import json
 from pathlib import Path
 
 from src.optimization_api import app
 
-
 output_path = Path(__file__).resolve().parents[1] / "openapi" / "openapi.json"
 output_path.parent.mkdir(parents=True, exist_ok=True)
 output_path.write_text(
diff --git a/apps/petrinaut-opt/src/optimization_api.py b/apps/petrinaut-opt/src/optimization_api.py
index 4b808ae4571..28d1cea8a55 100644
--- a/apps/petrinaut-opt/src/optimization_api.py
+++ b/apps/petrinaut-opt/src/optimization_api.py
@@ -1,20 +1,18 @@
-#!/usr/bin/env python3
 """HTTP API for streaming Petrinaut optimization studies."""
 
-from __future__ import annotations
-
 import asyncio
 import logging
 import os
 import threading
-from collections.abc import AsyncIterator, Awaitable, Callable
+from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable
 from contextlib import asynccontextmanager, suppress
 from pathlib import Path
-from typing import Any
+from typing import Protocol
 
 from dotenv import load_dotenv
 from fastapi import FastAPI, HTTPException, Request
 from fastapi.responses import JSONResponse, StreamingResponse
+from pydantic import JsonValue
 from starlette.background import BackgroundTask
 from starlette.types import ASGIApp, Message, Receive, Scope, Send
 
@@ -23,7 +21,6 @@
 from src.telemetry import flush_telemetry, setup_telemetry
 from src.utils import Phase, RunStatus, StatusStore, set_status
 
-
 REPO_ROOT = Path(__file__).resolve().parent.parent.parent.parent
 load_dotenv(REPO_ROOT / ".env")
 log = logging.getLogger("pn_api")
@@ -31,7 +28,11 @@
 MAX_ACTIVE_OPTIMIZATIONS = 4
 RETRY_AFTER_SECONDS = 30
 _OPTIMIZATION_PATHS = {"/optimize/all", "/optimize/best"}
-_SSE_RESPONSES = {
+
+type OptimizationManifest = dict[str, JsonValue]
+"""The opaque JSON manifest forwarded verbatim to the Petrinaut CLI."""
+
+_SSE_RESPONSES: dict[int | str, dict[str, JsonValue]] = {
     200: {
         "description": "Server-Sent Events optimization stream",
         "content": {"text/event-stream": {"schema": {"type": "string"}}},
@@ -50,7 +51,27 @@
 }
 
 
-class _RequestBodyTooLarge(Exception):
+class ClosableModel(Protocol):
+    """The CLI adapter shutdown surface the API drives during cleanup."""
+
+    def close(self, *, graceful: bool = ...) -> None: ...
+
+
+class OptimizationStreamer(Protocol):
+    """The optimizer surface the SSE routes consume; a seam for test fakes."""
+
+    @property
+    def n_trials(self) -> int: ...
+
+    @property
+    def pn_model(self) -> ClosableModel: ...
+
+    def stream_all(self, request: Request, run_id: str, n_trials: int) -> AsyncIterator[str]: ...
+
+    def stream_best(self, request: Request, run_id: str, n_trials: int) -> AsyncIterator[str]: ...
+
+
+class _RequestBodyTooLargeError(RuntimeError):
     pass
 
 
@@ -87,12 +108,12 @@ async def limited_receive() -> Message:
             if message["type"] == "http.request":
                 received_bytes += len(message.get("body", b""))
                 if received_bytes > MAX_REQUEST_BODY_BYTES:
-                    raise _RequestBodyTooLarge
+                    raise _RequestBodyTooLargeError
             return message
 
         try:
             await self.app(scope, limited_receive, send)
-        except _RequestBodyTooLarge:
+        except _RequestBodyTooLargeError:
             await self._reject(scope, receive, send)
 
     @staticmethod
@@ -105,11 +126,12 @@ async def _reject(scope: Scope, receive: Receive, send: Send) -> None:
 
 
 @asynccontextmanager
-async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+async def lifespan(app: FastAPI) -> AsyncGenerator[None]:
     """Initialize the run-scoped status registry."""
     app.state.statuses = StatusStore()
     app.state.optimization_admission_lock = asyncio.Lock()
     app.state.active_optimizations = 0
+
     try:
         yield
     finally:
@@ -124,14 +146,14 @@ async def lifespan(app: FastAPI) -> AsyncIterator[None]:
 setup_telemetry(app)
 
 
-def create_model(optimization_manifest: dict[str, Any]) -> PetrinautModel:
+def create_model(optimization_manifest: OptimizationManifest) -> PetrinautModel:
     """Create the CLI adapter; retained as a narrow seam for API tests."""
     return PetrinautModel(optimization_manifest)
 
 
 def initialize_optimizer(
-    optimization_manifest: dict[str, Any],
-) -> PetrinautOptimizer:
+    optimization_manifest: OptimizationManifest,
+) -> OptimizationStreamer:
     """Start Petrinaut and build an Optuna study from its description."""
     model = create_model(optimization_manifest)
     try:
@@ -158,13 +180,13 @@ async def _acquire_optimization_slot(
                     "request_id": request_id,
                 },
             )
+
             raise HTTPException(
                 status_code=429,
-                detail=(
-                    "The optimizer is already running its maximum number of studies"
-                ),
+                detail=("The optimizer is already running its maximum number of studies"),
                 headers={"Retry-After": str(RETRY_AFTER_SECONDS)},
             )
+
         app.state.active_optimizations += 1
 
 
@@ -174,8 +196,8 @@ async def _release_optimization_slot(app: FastAPI) -> None:
 
 
 async def _initialize_admitted_optimizer(
-    app: FastAPI, optimization_manifest: dict[str, Any]
-) -> PetrinautOptimizer:
+    app: FastAPI, optimization_manifest: OptimizationManifest
+) -> OptimizationStreamer:
     """Initialize off-loop and clean up if the request task is cancelled."""
     initializer = asyncio.create_task(
         asyncio.to_thread(initialize_optimizer, optimization_manifest)
@@ -187,33 +209,30 @@ async def _initialize_admitted_optimizer(
         # the initializer finishes, close whatever CLI it started even if no
         # coroutine is left awaiting it. close() is idempotent, so the
         # awaited recovery close and this callback can coexist.
-        def _close_abandoned_optimizer(task: asyncio.Task[PetrinautOptimizer]) -> None:
+        def _close_abandoned_optimizer(task: asyncio.Task[OptimizationStreamer]) -> None:
             if task.cancelled() or task.exception() is not None:
                 return
             threading.Thread(
-                target=task.result().pn_model.close,
-                kwargs={"graceful": False},
+                target=lambda: task.result().pn_model.close(graceful=False),
                 daemon=True,
                 name="petrinaut-abandoned-cli-close",
             ).start()
 
         initializer.add_done_callback(_close_abandoned_optimizer)
-        optimizer: PetrinautOptimizer | None = None
+        optimizer: OptimizationStreamer | None = None
         try:
             with suppress(Exception, asyncio.CancelledError):
                 optimizer = await asyncio.shield(initializer)
             if optimizer is not None:
                 with suppress(Exception):
-                    await asyncio.to_thread(
-                        optimizer.pn_model.close, graceful=False
-                    )
+                    await asyncio.to_thread(optimizer.pn_model.close, graceful=False)
         finally:
             await asyncio.shield(_release_optimization_slot(app))
         raise
 
 
 def _create_admitted_run_cleanup(
-    app: FastAPI, optimizer: PetrinautOptimizer
+    app: FastAPI, optimizer: OptimizationStreamer
 ) -> Callable[[], Awaitable[None]]:
     """Build the idempotent teardown for one admitted optimization run.
 
@@ -283,28 +302,22 @@ def _initialization_error(
     )
 
 
-@app.post(
-    "/optimize/all",
-    response_class=StreamingResponse,
-    responses=_SSE_RESPONSES,
-)
-async def post_optimize_all(
-    request: Request,
-    optimization_manifest: dict[str, Any],
-) -> StreamingResponse:
-    """Stream one SSE data frame for every completed Optuna trial."""
+async def _admit_optimization_run(
+    request: Request, optimization_manifest: OptimizationManifest
+) -> tuple[OptimizationStreamer, str]:
+    """Admit, register, and initialize one optimization run for an SSE route."""
     request_id = request.headers.get("x-hash-request-id")
     await _acquire_optimization_slot(request.app, request_id=request_id)
+
     try:
         run_id = request.app.state.statuses.create().run_id
     except BaseException:
         await asyncio.shield(_release_optimization_slot(request.app))
         raise
-    optimizer: PetrinautOptimizer | None = None
+
+    optimizer: OptimizationStreamer | None = None
     try:
-        optimizer = await _initialize_admitted_optimizer(
-            request.app, optimization_manifest
-        )
+        optimizer = await _initialize_admitted_optimizer(request.app, optimization_manifest)
         set_status(
             request.app,
             run_id,
@@ -315,17 +328,23 @@ async def post_optimize_all(
         if optimizer is not None:
             with suppress(Exception):
                 await asyncio.to_thread(optimizer.pn_model.close, graceful=False)
+
         await asyncio.shield(_release_optimization_slot(request.app))
-        raise _initialization_error(
-            request.app, run_id, error, request_id=request_id
-        ) from error
+        raise _initialization_error(request.app, run_id, error, request_id=request_id) from error
+
+    return optimizer, run_id
 
+
+def _streaming_run_response(
+    request: Request,
+    optimizer: OptimizationStreamer,
+    *,
+    run_id: str,
+    stream: AsyncIterator[str],
+) -> StreamingResponse:
     cleanup = _create_admitted_run_cleanup(request.app, optimizer)
     return StreamingResponse(
-        _stream_with_cleanup(
-            optimizer.stream_all(request, run_id=run_id, n_trials=optimizer.n_trials),
-            cleanup,
-        ),
+        _stream_with_cleanup(stream, cleanup),
         media_type="text/event-stream",
         headers={
             "Cache-Control": "no-cache",
@@ -336,6 +355,25 @@ async def post_optimize_all(
     )
 
 
+@app.post(
+    "/optimize/all",
+    response_class=StreamingResponse,
+    responses=_SSE_RESPONSES,
+)
+async def post_optimize_all(
+    request: Request,
+    optimization_manifest: OptimizationManifest,
+) -> StreamingResponse:
+    """Stream one SSE data frame for every completed Optuna trial."""
+    optimizer, run_id = await _admit_optimization_run(request, optimization_manifest)
+    return _streaming_run_response(
+        request,
+        optimizer,
+        run_id=run_id,
+        stream=optimizer.stream_all(request, run_id=run_id, n_trials=optimizer.n_trials),
+    )
+
+
 @app.post(
     "/optimize/best",
     response_class=StreamingResponse,
@@ -343,49 +381,15 @@ async def post_optimize_all(
 )
 async def post_optimize_best(
     request: Request,
-    optimization_manifest: dict[str, Any],
+    optimization_manifest: OptimizationManifest,
 ) -> StreamingResponse:
     """Stream the best-so-far SSE data frame after every completed trial."""
-    request_id = request.headers.get("x-hash-request-id")
-    await _acquire_optimization_slot(request.app, request_id=request_id)
-    try:
-        run_id = request.app.state.statuses.create().run_id
-    except BaseException:
-        await asyncio.shield(_release_optimization_slot(request.app))
-        raise
-    optimizer: PetrinautOptimizer | None = None
-    try:
-        optimizer = await _initialize_admitted_optimizer(
-            request.app, optimization_manifest
-        )
-        set_status(
-            request.app,
-            run_id,
-            phase=Phase.running,
-            detail="Petrinaut CLI and Optimization Model initialized",
-        )
-    except Exception as error:
-        if optimizer is not None:
-            with suppress(Exception):
-                await asyncio.to_thread(optimizer.pn_model.close, graceful=False)
-        await asyncio.shield(_release_optimization_slot(request.app))
-        raise _initialization_error(
-            request.app, run_id, error, request_id=request_id
-        ) from error
-
-    cleanup = _create_admitted_run_cleanup(request.app, optimizer)
-    return StreamingResponse(
-        _stream_with_cleanup(
-            optimizer.stream_best(request, run_id=run_id, n_trials=optimizer.n_trials),
-            cleanup,
-        ),
-        media_type="text/event-stream",
-        headers={
-            "Cache-Control": "no-cache",
-            "X-Accel-Buffering": "no",
-            "X-Optimization-Run-ID": run_id,
-        },
-        background=BackgroundTask(cleanup),
+    optimizer, run_id = await _admit_optimization_run(request, optimization_manifest)
+    return _streaming_run_response(
+        request,
+        optimizer,
+        run_id=run_id,
+        stream=optimizer.stream_best(request, run_id=run_id, n_trials=optimizer.n_trials),
     )
 
 
diff --git a/apps/petrinaut-opt/src/petrinaut_client.py b/apps/petrinaut-opt/src/petrinaut_client.py
index 272378d7dec..e1d6121f7fe 100644
--- a/apps/petrinaut-opt/src/petrinaut_client.py
+++ b/apps/petrinaut-opt/src/petrinaut_client.py
@@ -1,19 +1,18 @@
-#!/usr/bin/env python3
 """Small stdio client for the Petrinaut optimization CLI protocol."""
 
-from __future__ import annotations
-
 import json
 import math
 import os
-import select
+import selectors
 import signal
-import subprocess
+import subprocess  # noqa: S404 — this module exists to own the Petrinaut CLI subprocess.
 import threading
 import time
-from collections.abc import Callable, Mapping, Sequence
-from typing import Any
+from collections.abc import Mapping, Sequence
+from contextlib import suppress
+from typing import IO, Protocol, Self
 
+from pydantic import JsonValue
 
 MAX_MANIFEST_BYTES = 8 * 1024 * 1024
 MAX_PROTOCOL_LINE_BYTES = 8 * 1024 * 1024
@@ -22,6 +21,84 @@
 PROCESS_SHUTDOWN_TIMEOUT_SECONDS = 5
 _STDERR_DRAIN_CHUNK_BYTES = 64 * 1024
 
+type Scalar = bool | int | float
+"""One flat JSON scalar exchanged as an optimization parameter value."""
+
+
+class PetrinautProcess(Protocol):
+    """The slice of ``subprocess.Popen`` behaviour this client depends on."""
+
+    @property
+    def stdin(self) -> IO[bytes] | None: ...
+
+    @property
+    def stdout(self) -> IO[bytes] | None: ...
+
+    @property
+    def stderr(self) -> IO[bytes] | None: ...
+
+    @property
+    def pid(self) -> int | None:
+        """Process id used to signal the process group; ``None`` for fakes."""
+        ...
+
+    @property
+    def returncode(self) -> int | None: ...
+
+    def poll(self) -> int | None: ...
+
+    def wait(self, timeout: float | None = None, /) -> int: ...
+
+    def terminate(self) -> None: ...
+
+    def kill(self) -> None: ...
+
+
+class PetrinautProcessFactory(Protocol):
+    """Spawn one Petrinaut CLI process; a seam for tests to inject fakes."""
+
+    def __call__(
+        self,
+        command: Sequence[str],
+        /,
+        *,
+        stdin: int,
+        stdout: int,
+        stderr: int,
+        bufsize: int,
+        close_fds: bool,
+        env: Mapping[str, str],
+        start_new_session: bool,
+        umask: int,
+    ) -> PetrinautProcess: ...
+
+
+def _spawn_cli_process(
+    command: Sequence[str],
+    /,
+    *,
+    stdin: int,
+    stdout: int,
+    stderr: int,
+    bufsize: int,
+    close_fds: bool,
+    env: Mapping[str, str],
+    start_new_session: bool,
+    umask: int,
+) -> subprocess.Popen[bytes]:
+    """Spawn the CLI process; the argv is owned configuration, never user input."""
+    return subprocess.Popen(  # noqa: S603 — argv is built from owned configuration, never request data.
+        command,
+        stdin=stdin,
+        stdout=stdout,
+        stderr=stderr,
+        bufsize=bufsize,
+        close_fds=close_fds,
+        env=env,
+        start_new_session=start_new_session,
+        umask=umask,
+    )
+
 
 def _child_environment() -> dict[str, str]:
     """Avoid exposing the API process's credentials to model expressions."""
@@ -55,10 +132,10 @@ class PetrinautModel:
 
     def __init__(
         self,
-        optimization_manifest: Mapping[str, Any],
+        optimization_manifest: Mapping[str, JsonValue],
         *,
         command: Sequence[str] = ("petrinaut",),
-        popen_factory: Callable[..., Any] = subprocess.Popen,
+        popen_factory: PetrinautProcessFactory = _spawn_cli_process,
         bootstrap_timeout_seconds: float = BOOTSTRAP_TIMEOUT_SECONDS,
         request_timeout_seconds: float = PROTOCOL_READ_TIMEOUT_SECONDS,
     ) -> None:
@@ -72,14 +149,14 @@ def __init__(
         self._popen_factory = popen_factory
         self._bootstrap_timeout_seconds = bootstrap_timeout_seconds
         self._request_timeout_seconds = request_timeout_seconds
-        self._process: subprocess.Popen[bytes] | None = None
+        self._process: PetrinautProcess | None = None
         self._next_id = 1
         self._state_lock = threading.Lock()
         self._stdout_buffer = bytearray()
         self._stderr_buffer = bytearray()
         self._stderr_thread: threading.Thread | None = None
 
-    def __enter__(self) -> PetrinautModel:
+    def __enter__(self) -> Self:
         self.start()
         return self
 
@@ -98,14 +175,14 @@ def start(self) -> None:
             raise PetrinautClientError(
                 f"the optimization manifest is not valid JSON: {error}"
             ) from error
+
         if len(manifest.encode("utf-8")) > MAX_MANIFEST_BYTES:
-            raise PetrinautClientError(
-                "the optimization manifest exceeds the 8 MiB limit"
-            )
+            raise PetrinautClientError("the optimization manifest exceeds the 8 MiB limit")
 
         with self._state_lock:
             if self._process is not None:
                 return
+
             try:
                 process = self._popen_factory(
                     [
@@ -124,9 +201,8 @@ def start(self) -> None:
                     umask=0o077,
                 )
             except (OSError, ValueError) as error:
-                raise PetrinautClientError(
-                    f"failed to start the Petrinaut CLI: {error}"
-                ) from error
+                raise PetrinautClientError(f"failed to start the Petrinaut CLI: {error}") from error
+
             self._process = process
 
         if process.stdin is None or process.stdout is None or process.stderr is None:
@@ -144,9 +220,7 @@ def start(self) -> None:
             ).strip()
         except (BrokenPipeError, OSError, ValueError, PetrinautClientError) as error:
             self.close(graceful=False)
-            raise PetrinautClientError(
-                "failed to bootstrap the Petrinaut CLI"
-            ) from error
+            raise PetrinautClientError("failed to bootstrap the Petrinaut CLI") from error
 
         if not status.startswith("Petrinaut stdio ready"):
             details = status.strip() or f"process exited with code {process.poll()}"
@@ -165,101 +239,114 @@ def start(self) -> None:
         self._stderr_thread.start()
 
     @staticmethod
-    def _fallback_readline(stream: Any, maximum_bytes: int) -> bytes:
+    def _fallback_readline(stream: IO[bytes], maximum_bytes: int) -> bytes:
         """Read test doubles which do not expose a file descriptor."""
-        line = stream.readline(maximum_bytes + 2)
-        if isinstance(line, str):
-            return line.encode()
-        return line
+        return stream.readline(maximum_bytes + 2)
+
+    @staticmethod
+    def _decode_protocol_line(line: bytes, description: str) -> str:
+        if len(line) > MAX_PROTOCOL_LINE_BYTES:
+            raise PetrinautProtocolError(f"{description} exceeded the 8 MiB line limit")
+        try:
+            return line.decode("utf-8")
+        except UnicodeDecodeError as error:
+            raise PetrinautProtocolError(f"{description} was not valid UTF-8") from error
 
     def _readline(
         self,
-        stream: Any,
+        stream: IO[bytes],
         buffer: bytearray,
         *,
         timeout_seconds: float,
         description: str,
     ) -> str:
         """Read one size- and time-bounded UTF-8 protocol line."""
-        try:
-            descriptor = stream.fileno()
-        except (AttributeError, OSError, ValueError):
-            line = self._fallback_readline(stream, MAX_PROTOCOL_LINE_BYTES)
-            if len(line) > MAX_PROTOCOL_LINE_BYTES:
-                raise PetrinautProtocolError(
-                    f"{description} exceeded the 8 MiB line limit"
-                )
+        with selectors.DefaultSelector() as selector:
             try:
-                return line.decode("utf-8")
-            except UnicodeDecodeError as error:
-                raise PetrinautProtocolError(
-                    f"{description} was not valid UTF-8"
-                ) from error
+                key = selector.register(stream, selectors.EVENT_READ)
+            except OSError, ValueError:
+                # Test doubles (io.BytesIO and friends) expose no descriptor
+                # to poll, so read them directly and rely on the size bound.
+                line = self._fallback_readline(stream, MAX_PROTOCOL_LINE_BYTES)
+            else:
+                line = self._read_polled_line(
+                    selector,
+                    key.fd,
+                    buffer,
+                    timeout_seconds=timeout_seconds,
+                    description=description,
+                )
 
+        return self._decode_protocol_line(line, description)
+
+    @staticmethod
+    def _read_polled_line(
+        selector: selectors.BaseSelector,
+        descriptor: int,
+        buffer: bytearray,
+        *,
+        timeout_seconds: float,
+        description: str,
+    ) -> bytes:
+        """Accumulate one newline-terminated line from the registered pipe."""
         deadline = time.monotonic() + timeout_seconds
+
         while True:
             newline = buffer.find(b"\n")
             if newline >= 0:
                 line = bytes(buffer[: newline + 1])
+
                 del buffer[: newline + 1]
-                break
+                return line
+
             if len(buffer) > MAX_PROTOCOL_LINE_BYTES:
-                raise PetrinautProtocolError(
-                    f"{description} exceeded the 8 MiB line limit"
-                )
+                raise PetrinautProtocolError(f"{description} exceeded the 8 MiB line limit")
 
             remaining = deadline - time.monotonic()
-            if remaining <= 0:
-                raise PetrinautClientError(f"{description} timed out")
-            ready, _, _ = select.select([descriptor], [], [], remaining)
-            if not ready:
+            if remaining <= 0 or not selector.select(remaining):
                 raise PetrinautClientError(f"{description} timed out")
+
+            # One raw read of whatever is available: readiness only promises
+            # *some* bytes, and a buffered stream.read would block for a full
+            # chunk. The CLI pipes are opened unbuffered (bufsize=0), so no
+            # data can be stranded in a Python-level buffer above this read.
             chunk = os.read(descriptor, _STDERR_DRAIN_CHUNK_BYTES)
             if not chunk:
                 line = bytes(buffer)
+
                 buffer.clear()
-                break
-            buffer.extend(chunk)
+                return line
 
-        if len(line) > MAX_PROTOCOL_LINE_BYTES:
-            raise PetrinautProtocolError(f"{description} exceeded the 8 MiB line limit")
-        try:
-            return line.decode("utf-8")
-        except UnicodeDecodeError as error:
-            raise PetrinautProtocolError(
-                f"{description} was not valid UTF-8"
-            ) from error
+            buffer.extend(chunk)
 
     @staticmethod
-    def _drain_stderr(stream: Any) -> None:
+    def _drain_stderr(stream: IO[bytes]) -> None:
         """Prevent CLI diagnostics from filling and blocking its stderr pipe."""
         while True:
             try:
                 chunk = stream.read(_STDERR_DRAIN_CHUNK_BYTES)
-            except (OSError, ValueError):
+            except OSError, ValueError:
                 return
+
             if not chunk:
                 return
 
-    def _exchange(self, method: str, params: Mapping[str, Any] | None = None) -> Any:
+    def _exchange(self, method: str, params: Mapping[str, JsonValue] | None = None) -> JsonValue:
         process = self._process
         if process is None or process.stdin is None or process.stdout is None:
             raise PetrinautClientError("the Petrinaut CLI is not running")
+
         if process.poll() is not None:
-            raise PetrinautClientError(
-                f"the Petrinaut CLI exited with code {process.returncode}"
-            )
+            raise PetrinautClientError(f"the Petrinaut CLI exited with code {process.returncode}")
 
         request_id = self._next_id
         self._next_id += 1
-        request: dict[str, Any] = {"id": request_id, "method": method}
+        request: dict[str, JsonValue] = {"id": request_id, "method": method}
         if params is not None:
             request["params"] = dict(params)
 
         try:
-            process.stdin.write(
-                (json.dumps(request, separators=(",", ":")) + "\n").encode()
-            )
+            process.stdin.write((json.dumps(request, separators=(",", ":")) + "\n").encode())
             process.stdin.flush()
             line = self._readline(
                 process.stdout,
@@ -277,15 +364,14 @@ def _exchange(self, method: str, params: Mapping[str, Any] | None = None) -> Any
             PetrinautClientError,
         ) as error:
             self.close(graceful=False)
-            raise PetrinautClientError(
-                "failed to communicate with the Petrinaut CLI"
-            ) from error
+            raise PetrinautClientError("failed to communicate with the Petrinaut CLI") from error
 
         if not line:
             self.close(graceful=False)
             raise PetrinautClientError(
                 f"the Petrinaut CLI exited without a response (code {process.poll()})"
             )
+
         try:
             return self._parse_response(line, request_id)
         except PetrinautProtocolError:
@@ -293,81 +379,105 @@ def _exchange(self, method: str, params: Mapping[str, Any] | None = None) -> Any
             raise
 
     @staticmethod
-    def _parse_response(line: str, request_id: int) -> Any:
+    def _parse_response(line: str, request_id: int) -> JsonValue:
         """Validate one response without conflating handled run errors."""
         try:
-            response = json.loads(line)
+            response: JsonValue = json.loads(line)
         except json.JSONDecodeError as error:
-            raise PetrinautProtocolError(
-                "the Petrinaut CLI returned invalid JSON"
-            ) from error
+            raise PetrinautProtocolError("the Petrinaut CLI returned invalid JSON") from error
+
         if not isinstance(response, dict):
-            raise PetrinautProtocolError(
-                "the Petrinaut CLI returned a non-object response"
-            )
+            raise PetrinautProtocolError("the Petrinaut CLI returned a non-object response")
+
         if response.get("id") != request_id:
-            raise PetrinautProtocolError(
-                "the Petrinaut CLI returned a mismatched response id"
-            )
+            raise PetrinautProtocolError("the Petrinaut CLI returned a mismatched response id")
+
         if "error" in response:
             error = response["error"]
             message = error.get("message", error) if isinstance(error, dict) else error
+
             raise PetrinautRunError(str(message))
+
         if "result" not in response:
-            raise PetrinautProtocolError(
-                "the Petrinaut CLI response omitted its result"
-            )
+            raise PetrinautProtocolError("the Petrinaut CLI response omitted its result")
+
         return response["result"]
 
-    def describe_optimization(self) -> dict[str, Any]:
+    def describe_optimization(self) -> dict[str, JsonValue]:
         """Return the CLI-owned Optuna study and parameter description."""
         result = self._exchange("optimization.describe")
         if not isinstance(result, dict):
             self.close(graceful=False)
-            raise PetrinautProtocolError(
-                "optimization.describe returned a non-object result"
-            )
+            raise PetrinautProtocolError("optimization.describe returned a non-object result")
+
         return result
 
-    def objective(self, parameter_values: Mapping[str, Any]) -> float:
+    def objective(self, parameter_values: Mapping[str, Scalar]) -> float:
         """Evaluate one flat set of Optuna-proposed scenario parameter values."""
-        result = self._exchange(
-            "optimization.evaluate",
-            {"parameterValues": dict(parameter_values)},
-        )
+        values: dict[str, JsonValue] = dict(parameter_values)
+        result = self._exchange("optimization.evaluate", {"parameterValues": values})
         if not isinstance(result, dict):
             self.close(graceful=False)
-            raise PetrinautProtocolError(
-                "optimization.evaluate returned a non-object result"
-            )
+            raise PetrinautProtocolError("optimization.evaluate returned a non-object result")
+
         objective = result.get("objective")
         if (
             isinstance(objective, bool)
             or not isinstance(objective, (int, float))
             or not math.isfinite(objective)
         ):
-            raise PetrinautRunError(
-                "Petrinaut optimization objective is not a finite number"
-            )
+            raise PetrinautRunError("Petrinaut optimization objective is not a finite number")
+
         return float(objective)
 
     @staticmethod
-    def _signal_process(process: Any, signal_number: signal.Signals) -> None:
+    def _signal_process(process: PetrinautProcess, signal_number: signal.Signals) -> None:
         """Signal the isolated process group, falling back for test doubles."""
-        process_id = getattr(process, "pid", None)
-        if isinstance(process_id, int):
+        process_id = process.pid
+        if process_id is not None:
             try:
                 os.killpg(process_id, signal_number)
-                return
             except ProcessLookupError:
                 return
             except OSError:
                 pass
+            else:
+                return
+
         if signal_number is signal.SIGTERM:
             process.terminate()
         else:
             process.kill()
 
+    @classmethod
+    def _terminate_process(cls, process: PetrinautProcess) -> None:
+        """Escalate from SIGTERM to SIGKILL until the process group exits."""
+        cls._signal_process(process, signal.SIGTERM)
+        try:
+            process.wait(PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
+        except subprocess.TimeoutExpired:
+            cls._signal_process(process, signal.SIGKILL)
+            with suppress(subprocess.TimeoutExpired):
+                process.wait(PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
+
+    @classmethod
+    def _shutdown_process(cls, process: PetrinautProcess, *, graceful: bool) -> None:
+        if process.stdin is not None and not process.stdin.closed:
+            with suppress(OSError, ValueError):
+                process.stdin.close()
+
+        if process.poll() is None and graceful:
+            with suppress(subprocess.TimeoutExpired):
+                process.wait(PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
+
+        if process.poll() is None:
+            cls._terminate_process(process)
+
+        for stream in (process.stdout, process.stderr):
+            if stream is not None and not stream.closed:
+                with suppress(OSError, ValueError):
+                    stream.close()
+
     def close(self, *, graceful: bool = True) -> None:
         """Terminate the owned CLI process; safe to call repeatedly.
 
@@ -381,40 +491,13 @@ def close(self, *, graceful: bool = True) -> None:
         with self._state_lock:
             process = self._process
             self._process = None
+
         if process is None:
             return
 
-        if process.stdin is not None and not process.stdin.closed:
-            try:
-                process.stdin.close()
-            except (BrokenPipeError, OSError, ValueError):
-                pass
-        if process.poll() is None and graceful:
-            try:
-                process.wait(timeout=PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
-            except subprocess.TimeoutExpired:
-                pass
-        if process.poll() is None:
-            self._signal_process(process, signal.SIGTERM)
-            try:
-                process.wait(timeout=PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
-            except subprocess.TimeoutExpired:
-                self._signal_process(process, signal.SIGKILL)
-                try:
-                    process.wait(timeout=PROCESS_SHUTDOWN_TIMEOUT_SECONDS)
-                except subprocess.TimeoutExpired:
-                    pass
-        for stream in (process.stdout, process.stderr):
-            if stream is not None and not stream.closed:
-                try:
-                    stream.close()
-                except (OSError, ValueError):
-                    pass
+        self._shutdown_process(process, graceful=graceful)
 
         stderr_thread = self._stderr_thread
         self._stderr_thread = None
-        if (
-            stderr_thread is not None
-            and stderr_thread is not threading.current_thread()
-        ):
+        if stderr_thread is not None and stderr_thread is not threading.current_thread():
             stderr_thread.join(timeout=1)
diff --git a/apps/petrinaut-opt/src/petrinaut_optimizer.py b/apps/petrinaut-opt/src/petrinaut_optimizer.py
index 162c9478acf..114b4b5f310 100644
--- a/apps/petrinaut-opt/src/petrinaut_optimizer.py
+++ b/apps/petrinaut-opt/src/petrinaut_optimizer.py
@@ -1,174 +1,241 @@
-#!/usr/bin/env python3
 """Optuna study orchestration backed by the Petrinaut optimization protocol."""
 
-from __future__ import annotations
-
 import asyncio
-import json
 import logging
-import math
 import queue
 import threading
-from collections.abc import AsyncIterator, Callable, Mapping
-from datetime import datetime
-from typing import Any, Literal, TypeAlias, cast
+from collections.abc import AsyncIterator, Callable, Iterator, Mapping
+from dataclasses import dataclass, field
+from datetime import UTC, datetime
+from enum import Enum, auto
+from typing import Annotated, Literal, Protocol, Self
 
 import optuna
-from fastapi import Request
-from opentelemetry import context as otel_context, trace
+from fastapi import FastAPI
+from opentelemetry import context as otel_context
+from opentelemetry import trace
 from opentelemetry.trace import Span, Status, StatusCode
+from pydantic import BaseModel, Discriminator, Field, JsonValue, Tag, model_validator
 
-from src.petrinaut_client import PetrinautModel, PetrinautRunError
+from src.petrinaut_client import PetrinautRunError, Scalar
 from src.utils import Phase, set_status
 
-
 log = logging.getLogger("pn_optimize")
 tracer = trace.get_tracer("pn_optimize")
 optuna.logging.set_verbosity(optuna.logging.WARNING)
 
-SAMPLERS = {
-    "tpe": optuna.samplers.TPESampler,
-    "random": optuna.samplers.RandomSampler,
-}
 DEFAULT_STUDY_NAME = "opt_study"
 SSE_HEARTBEAT_SECONDS = 30
 _DISCONNECT_POLL_SECONDS = 0.1
 _WORKER_SHUTDOWN_TIMEOUT_SECONDS = 12
-_SENTINEL = object()
-
-Scalar: TypeAlias = int | float | bool
-ParameterDescriptor: TypeAlias = Mapping[str, Any]
-
-
-def _finite_number(value: Any, name: str) -> float:
-    if (
-        isinstance(value, bool)
-        or not isinstance(value, (int, float))
-        or not math.isfinite(value)
-    ):
-        raise ValueError(f"{name} must be a finite number")
-    return float(value)
-
-
-def _parse_description(
-    description: Mapping[str, Any],
-) -> tuple[
-    Literal["maximize", "minimize"],
-    str,
-    int,
-    int,
-    tuple[ParameterDescriptor, ...],
-]:
-    """Validate only the small, generic optimization protocol contract."""
-    direction = description.get("direction")
-    if direction not in {"maximize", "minimize"}:
-        raise ValueError("optimization.describe direction must be maximize or minimize")
-
-    study = description.get("study")
-    if not isinstance(study, dict):
-        raise ValueError("optimization.describe omitted its study settings")
-    sampler = study.get("sampler")
-    if sampler not in SAMPLERS:
-        raise ValueError(f"unsupported Optuna sampler: {sampler!r}")
-    n_trials = study.get("trials")
-    if isinstance(n_trials, bool) or not isinstance(n_trials, int) or n_trials < 1:
-        raise ValueError("optimization.describe study.trials must be positive")
-    seed = study.get("seed")
-    if isinstance(seed, bool) or not isinstance(seed, int) or seed < 0:
-        raise ValueError(
-            "optimization.describe study.seed must be a non-negative integer"
-        )
 
-    raw_parameters = description.get("parameters")
-    if not isinstance(raw_parameters, list):
-        raise ValueError("optimization.describe parameters must be an array")
-
-    parameters: list[ParameterDescriptor] = []
-    identifiers: set[str] = set()
-    for index, parameter in enumerate(raw_parameters):
-        if not isinstance(parameter, dict):
-            raise ValueError(f"optimization parameter {index} must be an object")
-        identifier = parameter.get("identifier")
-        if not isinstance(identifier, str) or not identifier:
-            raise ValueError(f"optimization parameter {index} has no valid identifier")
-        if identifier in identifiers:
-            raise ValueError(f'duplicate optimization parameter "{identifier}"')
-        identifiers.add(identifier)
-
-        parameter_type = parameter.get("type")
-        if parameter_type == "float":
-            minimum = _finite_number(parameter.get("minimum"), f"{identifier}.minimum")
-            maximum = _finite_number(parameter.get("maximum"), f"{identifier}.maximum")
-            scale = parameter.get("scale")
-            if minimum >= maximum:
-                raise ValueError(f"{identifier}.maximum must exceed minimum")
-            if scale not in {"linear", "log"}:
-                raise ValueError(f"{identifier}.scale must be linear or log")
-            if scale == "log" and minimum <= 0:
-                raise ValueError(f"{identifier}.minimum must be positive for log scale")
-        elif parameter_type == "int":
-            minimum = parameter.get("minimum")
-            maximum = parameter.get("maximum")
-            step = parameter.get("step")
-            scale = parameter.get("scale")
-            if (
-                isinstance(minimum, bool)
-                or not isinstance(minimum, int)
-                or isinstance(maximum, bool)
-                or not isinstance(maximum, int)
-            ):
-                raise ValueError(f"{identifier} integer bounds must be integers")
-            if minimum >= maximum:
-                raise ValueError(f"{identifier}.maximum must exceed minimum")
-            if isinstance(step, bool) or not isinstance(step, int) or step < 1:
-                raise ValueError(f"{identifier}.step must be a positive integer")
-            if scale not in {"linear", "log"}:
-                raise ValueError(f"{identifier}.scale must be linear or log")
-            if scale == "log" and minimum <= 0:
-                raise ValueError(f"{identifier}.minimum must be positive for log scale")
-            if scale == "log" and step != 1:
-                raise ValueError(f"{identifier}.step must be 1 for log scale")
-        elif parameter_type != "boolean":
-            raise ValueError(
-                f"unsupported optimization parameter type: {parameter_type!r}"
-            )
-
-        parameters.append(parameter)
-
-    return (
-        cast(Literal["maximize", "minimize"], direction),
-        sampler,
-        n_trials,
-        seed,
-        tuple(parameters),
+type SamplerName = Literal["tpe", "random"]
+
+SAMPLERS: Mapping[SamplerName, Callable[[int], optuna.samplers.BaseSampler]] = {
+    "tpe": lambda seed: optuna.samplers.TPESampler(seed=seed),
+    "random": lambda seed: optuna.samplers.RandomSampler(seed=seed),
+}
+
+type _StrictFinite = Annotated[float, Field(strict=True, allow_inf_nan=False)]
+type _StrictInt = Annotated[int, Field(strict=True)]
+
+
+class FloatParameter(BaseModel):
+    """One continuous scenario parameter described by the CLI."""
+
+    identifier: str = Field(min_length=1)
+    type: Literal["float"]
+    minimum: _StrictFinite
+    maximum: _StrictFinite
+    scale: Literal["linear", "log"]
+
+    @model_validator(mode="after")
+    def _check_bounds(self) -> Self:
+        if self.minimum >= self.maximum:
+            raise ValueError(f"{self.identifier}.maximum must exceed minimum")
+        if self.scale == "log" and self.minimum <= 0:
+            raise ValueError(f"{self.identifier}.minimum must be positive for log scale")
+
+        return self
+
+
+class IntParameter(BaseModel):
+    """One integer scenario parameter described by the CLI."""
+
+    identifier: str = Field(min_length=1)
+    type: Literal["int"]
+    minimum: _StrictInt
+    maximum: _StrictInt
+    step: Annotated[int, Field(strict=True, ge=1)]
+    scale: Literal["linear", "log"]
+
+    @model_validator(mode="after")
+    def _check_bounds(self) -> Self:
+        if self.minimum >= self.maximum:
+            raise ValueError(f"{self.identifier}.maximum must exceed minimum")
+        if self.scale == "log" and self.minimum <= 0:
+            raise ValueError(f"{self.identifier}.minimum must be positive for log scale")
+        if self.scale == "log" and self.step != 1:
+            raise ValueError(f"{self.identifier}.step must be 1 for log scale")
+
+        return self
+
+
+class BooleanParameter(BaseModel):
+    """One boolean scenario parameter described by the CLI."""
+
+    identifier: str = Field(min_length=1)
+    type: Literal["boolean"]
+
+
+def _parameter_tag(value: object) -> str | None:
+    """Extract the ``type`` union tag during validation and serialization.
+
+    A callable discriminator sees the *raw* input: a mapping when validating
+    CLI JSON, an existing model instance otherwise. Returning ``None`` for
+    anything else lets pydantic report a proper ``union_tag_not_found``
+    validation error instead of an ``AttributeError``.
+    """
+    tag = value.get("type") if isinstance(value, Mapping) else getattr(value, "type", None)
+    return tag if isinstance(tag, str) else None
+
+
+type ParameterDescriptor = Annotated[
+    Annotated[FloatParameter, Tag("float")]
+    | Annotated[IntParameter, Tag("int")]
+    | Annotated[BooleanParameter, Tag("boolean")],
+    Discriminator(_parameter_tag),
+]
+
+
+class StudySettings(BaseModel):
+    """The Optuna study configuration owned by the CLI."""
+
+    sampler: SamplerName
+    trials: Annotated[int, Field(strict=True, ge=1)]
+    seed: Annotated[int, Field(strict=True, ge=0)]
+
+
+class OptimizationDescription(BaseModel):
+    """The small, generic ``optimization.describe`` protocol contract."""
+
+    direction: Literal["maximize", "minimize"]
+    study: StudySettings
+    parameters: tuple[ParameterDescriptor, ...]
+
+    @model_validator(mode="after")
+    def _check_unique_identifiers(self) -> Self:
+        identifiers: set[str] = set()
+        for parameter in self.parameters:
+            if parameter.identifier in identifiers:
+                raise ValueError(f'duplicate optimization parameter "{parameter.identifier}"')
+            identifiers.add(parameter.identifier)
+
+        return self
+
+
+class OptimizationModel(Protocol):
+    """The CLI adapter surface the optimizer drives; a seam for test fakes."""
+
+    def describe_optimization(self) -> Mapping[str, JsonValue]: ...
+
+    def objective(self, parameter_values: Mapping[str, Scalar], /) -> float: ...
+
+    def close(self, *, graceful: bool = ...) -> None: ...
+
+
+class StreamRequest(Protocol):
+    """The slice of ``fastapi.Request`` the SSE streams observe."""
+
+    @property
+    def app(self) -> FastAPI: ...
+
+    @property
+    def headers(self) -> Mapping[str, str]: ...
+
+    async def is_disconnected(self) -> bool: ...
+
+
+class TrialFrame(BaseModel):
+    """One per-trial SSE data frame in the shape Yannis's client expects."""
+
+    step: int
+    params: dict[str, JsonValue]
+    init_state: dict[str, JsonValue] = Field(default_factory=dict)
+    metric: float | None
+    state: str
+
+
+class ErrorFrame(BaseModel):
+    """The terminal SSE data frame reporting a failed study."""
+
+    state: Literal["ERROR"] = "ERROR"
+    message: str
+
+
+class _StreamSignal(Enum):
+    """Terminal marker the worker thread posts once the study has ended."""
+
+    DONE = auto()
+
+
+type _StreamEvent = TrialFrame | ErrorFrame | _StreamSignal
+
+type _FrameBuilder = Callable[[optuna.Study, optuna.trial.FrozenTrial], TrialFrame | None]
+"""Convert one completed trial into the next frame to stream, if any."""
+
+
+def _every_trial_frame(_study: optuna.Study, trial: optuna.trial.FrozenTrial) -> TrialFrame:
+    return TrialFrame(
+        step=trial.number,
+        params=dict(trial.params),
+        metric=trial.value,
+        state=trial.state.name,
     )
 
 
+def _best_so_far_frame(study: optuna.Study, trial: optuna.trial.FrozenTrial) -> TrialFrame | None:
+    has_completed = any(
+        candidate.state is optuna.trial.TrialState.COMPLETE
+        for candidate in study.get_trials(deepcopy=False)
+    )
+    if not has_completed:
+        return None
+    return TrialFrame(
+        step=trial.number,
+        params=dict(study.best_params),
+        metric=study.best_value,
+        state="COMPLETE",
+    )
+
+
+@dataclass(slots=True)
+class _StreamState:
+    """Outcome shared between the frame loop and the teardown path."""
+
+    completed: bool = False
+    log_context: dict[str, str | None] = field(default_factory=dict)
+
+
 class PetrinautOptimizer:
     """Optimize the flat parameter descriptors supplied by Petrinaut CLI."""
 
     def __init__(
         self,
-        pn_model: PetrinautModel,
+        pn_model: OptimizationModel,
         *,
-        description: Mapping[str, Any] | None = None,
-        **sampler_options: Any,
+        description: Mapping[str, JsonValue] | None = None,
     ) -> None:
-        raw_description = (
+        parsed = OptimizationDescription.model_validate(
             pn_model.describe_optimization() if description is None else description
         )
-        direction, sampler_name, n_trials, seed, parameters = _parse_description(
-            raw_description
-        )
 
-        self.parameters = parameters
-        self.study_name = (
-            f"{DEFAULT_STUDY_NAME}_{datetime.now().strftime('%m/%d/%Y-%H:%M:%S')}"
-        )
-        sampler_options.setdefault("seed", seed)
-        self.sampler = SAMPLERS[sampler_name](**sampler_options)
-        self.direction = direction
-        self.n_trials = n_trials
+        self.parameters = parsed.parameters
+        started_at = datetime.now(tz=UTC).strftime("%m/%d/%Y-%H:%M:%S")
+        self.study_name = f"{DEFAULT_STUDY_NAME}_{started_at}"
+        self.sampler = SAMPLERS[parsed.study.sampler](parsed.study.seed)
+        self.direction: Literal["maximize", "minimize"] = parsed.direction
+        self.n_trials = parsed.study.trials
         self.study = optuna.create_study(
             study_name=self.study_name,
             storage=None,
@@ -179,35 +246,35 @@ def __init__(
         self.pn_model = pn_model
         self.lock = threading.Lock()
 
-    def suggest(self, trial: optuna.Trial) -> dict[str, Scalar]:
+    def suggest(self, trial: optuna.trial.BaseTrial) -> dict[str, Scalar]:
         """Ask Optuna for each non-fixed scenario parameter described by the CLI."""
         values: dict[str, Scalar] = {}
+
         for parameter in self.parameters:
-            identifier = cast(str, parameter["identifier"])
-            parameter_type = parameter["type"]
-            if parameter_type == "float":
-                values[identifier] = trial.suggest_float(
-                    identifier,
-                    float(parameter["minimum"]),
-                    float(parameter["maximum"]),
-                    log=parameter["scale"] == "log",
-                )
-            elif parameter_type == "int":
-                values[identifier] = trial.suggest_int(
-                    identifier,
-                    cast(int, parameter["minimum"]),
-                    cast(int, parameter["maximum"]),
-                    step=cast(int, parameter["step"]),
-                    log=parameter["scale"] == "log",
-                )
-            else:
-                values[identifier] = cast(
-                    bool,
-                    trial.suggest_categorical(identifier, [False, True]),
-                )
+            match parameter:
+                case FloatParameter():
+                    values[parameter.identifier] = trial.suggest_float(
+                        parameter.identifier,
+                        parameter.minimum,
+                        parameter.maximum,
+                        log=parameter.scale == "log",
+                    )
+                case IntParameter():
+                    values[parameter.identifier] = trial.suggest_int(
+                        parameter.identifier,
+                        parameter.minimum,
+                        parameter.maximum,
+                        step=parameter.step,
+                        log=parameter.scale == "log",
+                    )
+                case BooleanParameter():
+                    values[parameter.identifier] = trial.suggest_categorical(
+                        parameter.identifier, [False, True]
+                    )
+
         return values
 
-    def objective(self, trial: optuna.Trial) -> float:
+    def objective(self, trial: optuna.trial.BaseTrial) -> float:
         """Propose one flat parameter set and ask Petrinaut to evaluate it."""
         prune_cause: PetrinautRunError | None = None
         with tracer.start_as_current_span("optimization.trial") as span:
@@ -221,7 +288,7 @@ def objective(self, trial: optuna.Trial) -> float:
                 # so it does not trip the default ERROR status / exception event.
                 # Genuinely unexpected exceptions still propagate through the
                 # `with` block and are recorded as errors as usual.
-                span.set_attribute("optuna.trial.pruned", True)
+                span.set_attribute("optuna.trial.pruned", value=True)
                 log.warning(
                     "trial %d failed — pruned",
                     trial.number,
@@ -232,14 +299,14 @@ def objective(self, trial: optuna.Trial) -> float:
                 span.set_attribute("optuna.trial.value", value)
                 return value
 
-        raise optuna.TrialPruned() from prune_cause
+        raise optuna.TrialPruned from prune_cause
 
     def _start_study_worker(
         self,
         *,
         n_trials: int,
         callback: Callable[[optuna.Study, optuna.trial.FrozenTrial], None],
-        events: asyncio.Queue[dict[str, Any] | object],
+        events: asyncio.Queue[_StreamEvent],
         loop: asyncio.AbstractEventLoop,
     ) -> tuple[threading.Thread, Span]:
         """Run the study on a worker thread that inherits the request's context.
@@ -266,30 +333,45 @@ def run() -> None:
                     n_trials=n_trials,
                     callbacks=[callback],
                 )
-            except Exception as error:
+            except Exception as error:  # noqa: BLE001 — thread boundary: any failure must become a terminal SSE frame instead of dying silently.
                 study_span.record_exception(error)
                 study_span.set_status(Status(StatusCode.ERROR))
                 loop.call_soon_threadsafe(
                     events.put_nowait,
-                    {"state": "ERROR", "message": str(error)},
+                    ErrorFrame(message=str(error)),
                 )
             finally:
                 otel_context.detach(token)
-                loop.call_soon_threadsafe(events.put_nowait, _SENTINEL)
+                loop.call_soon_threadsafe(events.put_nowait, _StreamSignal.DONE)
 
         worker = threading.Thread(target=run, daemon=True)
         worker.start()
         return worker, study_span
 
-    async def stream_all(
-        self, request: Request, run_id: str, n_trials: int
-    ) -> AsyncIterator[str]:
+    def stream_all(self, request: StreamRequest, run_id: str, n_trials: int) -> AsyncIterator[str]:
         """Stream Yannis's per-trial SSE frames, followed by the done frame."""
+        return self._stream_study(request, run_id, n_trials, frame_builder=_every_trial_frame)
+
+    def stream_best(self, request: StreamRequest, run_id: str, n_trials: int) -> AsyncIterator[str]:
+        """Stream Yannis's best-so-far SSE frames, followed by the done frame."""
+        return self._stream_study(request, run_id, n_trials, frame_builder=_best_so_far_frame)
+
+    async def _stream_study(
+        self,
+        request: StreamRequest,
+        run_id: str,
+        n_trials: int,
+        *,
+        frame_builder: _FrameBuilder,
+    ) -> AsyncIterator[str]:
+        """Run one study and stream its SSE frames until a terminal event."""
         app = request.app
-        log_context = {
-            "request_id": request.headers.get("x-hash-request-id"),
-            "run_id": run_id,
-        }
+        state = _StreamState(
+            log_context={
+                "request_id": request.headers.get("x-hash-request-id"),
+                "run_id": run_id,
+            }
+        )
         if not self.lock.acquire(blocking=False):
             yield 'event: error\ndata: {"message": "already running"}\n\n'
             return
@@ -297,269 +379,145 @@ async def stream_all(
         set_status(app, run_id, phase=Phase.running, detail="optimization running")
         log.info(
             "optimization study started",
-            extra={"event": "study_started", "trials": n_trials, **log_context},
+            extra={"event": "study_started", "trials": n_trials, **state.log_context},
         )
         loop = asyncio.get_running_loop()
-        events: asyncio.Queue[dict[str, Any] | object] = asyncio.Queue()
+        events: asyncio.Queue[_StreamEvent] = asyncio.Queue()
         stop_flag = threading.Event()
 
         def callback(study: optuna.Study, trial: optuna.trial.FrozenTrial) -> None:
-            payload = {
-                "step": trial.number,
-                "params": dict(trial.params),
-                "init_state": {},
-                "metric": trial.value,
-                "state": trial.state.name,
-            }
-            loop.call_soon_threadsafe(events.put_nowait, payload)
+            frame = frame_builder(study, trial)
+            if frame is not None:
+                loop.call_soon_threadsafe(events.put_nowait, frame)
             if stop_flag.is_set():
                 study.stop()
 
         worker, study_span = self._start_study_worker(
             n_trials=n_trials, callback=callback, events=events, loop=loop
         )
-        next_heartbeat = loop.time() + SSE_HEARTBEAT_SECONDS
-        completed = False
 
         try:
-            while True:
-                if await request.is_disconnected():
-                    stop_flag.set()
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.idle,
-                        detail="client disconnected, stopped",
-                    )
-                    log.info(
-                        "client disconnected, stopping optimization study",
-                        extra={"event": "client_disconnected", **log_context},
-                    )
-                    break
-                heartbeat_wait = max(0.0, next_heartbeat - loop.time())
-                try:
-                    item = await asyncio.wait_for(
-                        events.get(),
-                        timeout=min(_DISCONNECT_POLL_SECONDS, heartbeat_wait),
-                    )
-                except asyncio.TimeoutError:
-                    if loop.time() >= next_heartbeat:
-                        yield ": heartbeat\n\n"
-                        next_heartbeat = loop.time() + SSE_HEARTBEAT_SECONDS
-                    continue
-                if item is _SENTINEL:
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.done,
-                        detail="optimization completed",
-                    )
-                    completed = True
-                    log.info(
-                        "optimization study completed",
-                        extra={
-                            "event": "study_completed",
-                            "trials": n_trials,
-                            **log_context,
-                        },
-                    )
-                    yield "event: done\ndata: {}\n\n"
-                    break
-                event = cast(dict[str, Any], item)
-                if event.get("state") == "ERROR":
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.error,
-                        detail=cast(str, event.get("message")),
-                    )
-                    log.warning(
-                        "optimization study failed",
-                        extra={
-                            "event": "study_failed",
-                            **log_context,
-                        },
-                    )
-                yield f"data: {json.dumps(event)}\n\n"
-                if event.get("state") == "ERROR":
-                    break
+            async for frame in self._stream_frames(
+                request, run_id, n_trials=n_trials, events=events, state=state
+            ):
+                yield frame
+
         finally:
             stop_flag.set()
             try:
                 # Only a study that ran to completion left the CLI idle enough
                 # for the graceful EOF shutdown; every other exit (disconnect,
                 # error, cancellation) terminates the process group promptly.
-                await asyncio.to_thread(self.pn_model.close, graceful=completed)
+                await asyncio.to_thread(self.pn_model.close, graceful=state.completed)
                 await asyncio.to_thread(worker.join, _WORKER_SHUTDOWN_TIMEOUT_SECONDS)
                 if worker.is_alive():
                     log.error(
                         "Petrinaut optimizer worker did not stop after CLI shutdown",
-                        extra={"event": "worker_join_timeout", **log_context},
+                        extra={"event": "worker_join_timeout", **state.log_context},
                     )
             finally:
                 self.lock.release()
-                try:
-                    study_span.set_attribute(
-                        "optuna.study.best_value", self.study.best_value
-                    )
-                except ValueError:
-                    # No trial completed (immediate disconnect, or all pruned),
-                    # so there is no best value to record.
-                    pass
-                study_span.end()
-
-    async def stream_best(
-        self, request: Request, run_id: str, n_trials: int
+                self._finish_study_span(study_span)
+
+    @staticmethod
+    async def _stream_frames(
+        request: StreamRequest,
+        run_id: str,
+        *,
+        n_trials: int,
+        events: asyncio.Queue[_StreamEvent],
+        state: _StreamState,
     ) -> AsyncIterator[str]:
-        """Stream Yannis's best-so-far SSE frames, followed by the done frame."""
+        """Yield SSE frames and heartbeats until the study reaches a terminal event."""
         app = request.app
-        log_context = {
-            "request_id": request.headers.get("x-hash-request-id"),
-            "run_id": run_id,
-        }
-        if not self.lock.acquire(blocking=False):
-            yield 'event: error\ndata: {"message": "already running"}\n\n'
-            return
-
-        set_status(app, run_id, phase=Phase.running, detail="optimization running")
-        log.info(
-            "optimization study started",
-            extra={"event": "study_started", "trials": n_trials, **log_context},
-        )
         loop = asyncio.get_running_loop()
-        events: asyncio.Queue[dict[str, Any] | object] = asyncio.Queue()
-        stop_flag = threading.Event()
-
-        def callback(study: optuna.Study, trial: optuna.trial.FrozenTrial) -> None:
-            has_completed = any(
-                candidate.state is optuna.trial.TrialState.COMPLETE
-                for candidate in study.get_trials(deepcopy=False)
-            )
-            if has_completed:
-                payload = {
-                    "step": trial.number,
-                    "params": dict(study.best_params),
-                    "init_state": {},
-                    "metric": study.best_value,
-                    "state": "COMPLETE",
-                }
-                loop.call_soon_threadsafe(events.put_nowait, payload)
-            if stop_flag.is_set():
-                study.stop()
-
-        worker, study_span = self._start_study_worker(
-            n_trials=n_trials, callback=callback, events=events, loop=loop
-        )
         next_heartbeat = loop.time() + SSE_HEARTBEAT_SECONDS
-        completed = False
+        while True:
+            if await request.is_disconnected():
+                set_status(
+                    app,
+                    run_id,
+                    phase=Phase.idle,
+                    detail="client disconnected, stopped",
+                )
+                log.info(
+                    "client disconnected, stopping optimization study",
+                    extra={"event": "client_disconnected", **state.log_context},
+                )
+                return
 
-        try:
-            while True:
-                if await request.is_disconnected():
-                    stop_flag.set()
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.idle,
-                        detail="client disconnected, stopped",
-                    )
-                    log.info(
-                        "client disconnected, stopping optimization study",
-                        extra={"event": "client_disconnected", **log_context},
-                    )
-                    break
-                heartbeat_wait = max(0.0, next_heartbeat - loop.time())
-                try:
-                    item = await asyncio.wait_for(
-                        events.get(),
-                        timeout=min(_DISCONNECT_POLL_SECONDS, heartbeat_wait),
-                    )
-                except asyncio.TimeoutError:
-                    if loop.time() >= next_heartbeat:
-                        yield ": heartbeat\n\n"
-                        next_heartbeat = loop.time() + SSE_HEARTBEAT_SECONDS
-                    continue
-                if item is _SENTINEL:
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.done,
-                        detail="optimization completed",
-                    )
-                    completed = True
+            heartbeat_wait = max(0.0, next_heartbeat - loop.time())
+            try:
+                item = await asyncio.wait_for(
+                    events.get(),
+                    timeout=min(_DISCONNECT_POLL_SECONDS, heartbeat_wait),
+                )
+            except TimeoutError:
+                if loop.time() >= next_heartbeat:
+                    yield ": heartbeat\n\n"
+                    next_heartbeat = loop.time() + SSE_HEARTBEAT_SECONDS
+                continue
+
+            match item:
+                case _StreamSignal.DONE:
+                    state.completed = True
+                    set_status(app, run_id, phase=Phase.done, detail="optimization completed")
                     log.info(
                         "optimization study completed",
                         extra={
                             "event": "study_completed",
                             "trials": n_trials,
-                            **log_context,
+                            **state.log_context,
                         },
                     )
                     yield "event: done\ndata: {}\n\n"
-                    break
-                event = cast(dict[str, Any], item)
-                if event.get("state") == "ERROR":
-                    set_status(
-                        app,
-                        run_id,
-                        phase=Phase.error,
-                        detail=cast(str, event.get("message")),
-                    )
+                    return
+                case ErrorFrame():
+                    set_status(app, run_id, phase=Phase.error, detail=item.message)
                     log.warning(
                         "optimization study failed",
-                        extra={
-                            "event": "study_failed",
-                            **log_context,
-                        },
+                        extra={"event": "study_failed", **state.log_context},
                     )
-                yield f"data: {json.dumps(event)}\n\n"
-                if event.get("state") == "ERROR":
-                    break
+                    yield f"data: {item.model_dump_json()}\n\n"
+                    return
+                case TrialFrame():
+                    yield f"data: {item.model_dump_json()}\n\n"
+
+    def _finish_study_span(self, study_span: Span) -> None:
+        try:
+            study_span.set_attribute("optuna.study.best_value", self.study.best_value)
+        except ValueError:
+            # No trial completed (immediate disconnect, or all pruned),
+            # so there is no best value to record.
+            pass
         finally:
-            stop_flag.set()
-            try:
-                # Only a study that ran to completion left the CLI idle enough
-                # for the graceful EOF shutdown; every other exit (disconnect,
-                # error, cancellation) terminates the process group promptly.
-                await asyncio.to_thread(self.pn_model.close, graceful=completed)
-                await asyncio.to_thread(worker.join, _WORKER_SHUTDOWN_TIMEOUT_SECONDS)
-                if worker.is_alive():
-                    log.error(
-                        "Petrinaut optimizer worker did not stop after CLI shutdown",
-                        extra={"event": "worker_join_timeout", **log_context},
-                    )
-            finally:
-                self.lock.release()
-                try:
-                    study_span.set_attribute(
-                        "optuna.study.best_value", self.study.best_value
-                    )
-                except ValueError:
-                    # No trial completed (immediate disconnect, or all pruned),
-                    # so there is no best value to record.
-                    pass
-                study_span.end()
+            study_span.end()
 
-    def run_stream(self, study: optuna.Study, objective: Any, n_trials: int) -> Any:
+    @staticmethod
+    def run_stream(
+        study: optuna.Study,
+        objective: Callable[[optuna.Trial], float],
+        n_trials: int,
+    ) -> Iterator[tuple[str, int, dict[str, JsonValue], dict[str, JsonValue], float | None]]:
         """Run a study synchronously, retaining the original local-test shape."""
-        events: queue.Queue[Any] = queue.Queue()
-        done = object()
+        events: queue.Queue[
+            tuple[str, int, dict[str, JsonValue], dict[str, JsonValue], float | None]
+            | _StreamSignal
+        ] = queue.Queue()
 
         def callback(_study: optuna.Study, trial: optuna.trial.FrozenTrial) -> None:
-            events.put(
-                (
-                    str(trial.state),
-                    trial.number,
-                    dict(trial.params),
-                    {},
-                    trial.value,
-                )
-            )
+            events.put((
+                str(trial.state),
+                trial.number,
+                dict(trial.params),
+                {},
+                trial.value,
+            ))
 
         def run() -> None:
             study.optimize(objective, n_trials=n_trials, callbacks=[callback])
-            events.put(done)
+            events.put(_StreamSignal.DONE)
 
         threading.Thread(target=run, daemon=True).start()
-        while (item := events.get()) is not done:
+        while (item := events.get()) is not _StreamSignal.DONE:
             yield item
diff --git a/apps/petrinaut-opt/src/telemetry.py b/apps/petrinaut-opt/src/telemetry.py
index 9e0bd0d2b61..2622e75ebce 100644
--- a/apps/petrinaut-opt/src/telemetry.py
+++ b/apps/petrinaut-opt/src/telemetry.py
@@ -19,18 +19,23 @@
 providers and instruments the FastAPI app; later calls are no-ops.
 """
 
-from __future__ import annotations
-
 import logging
 import os
 from contextlib import suppress
-from typing import Any
+from dataclasses import dataclass, field
+from typing import Protocol
 
 from fastapi import FastAPI
 from opentelemetry import metrics, trace
 from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
-from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
-from opentelemetry.sdk._logs.export import BatchLogRecordProcessor, LogExporter
+from opentelemetry.sdk._logs import (  # noqa: PLC2701 — the OTEL logs SDK has no public import path yet.
+    LoggerProvider,
+    LoggingHandler,
+)
+from opentelemetry.sdk._logs.export import (  # noqa: PLC2701 — the OTEL logs SDK has no public import path yet.
+    BatchLogRecordProcessor,
+    LogRecordExporter,
+)
 from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.sdk.metrics.export import (
     MetricExporter,
@@ -47,11 +52,28 @@
 
 log = logging.getLogger("pn_telemetry")
 
-_configured = False
 
-# Providers created by ``setup_telemetry``, retained so the app lifespan can
-# flush them without shutting down process-global OTEL state.
-_providers: list[Any] = []
+class TelemetryProvider(Protocol):
+    """The flush/shutdown surface shared by tracer, meter, and logger providers."""
+
+    def force_flush(self) -> object: ...
+
+    def shutdown(self) -> object: ...
+
+
+@dataclass(slots=True)
+class _TelemetryState:
+    """Process-wide bootstrap state.
+
+    Installed providers are retained so the app lifespan can flush them
+    without shutting down process-global OTEL state.
+    """
+
+    configured: bool = False
+    providers: list[TelemetryProvider] = field(default_factory=list)
+
+
+_state = _TelemetryState()
 
 
 def _service_name() -> str:
@@ -59,46 +81,86 @@ def _service_name() -> str:
 
 
 def _protocol() -> str:
-    return (
-        os.environ.get("OTEL_EXPORTER_OTLP_PROTOCOL", _DEFAULT_PROTOCOL).strip().lower()
-    )
+    return os.environ.get("OTEL_EXPORTER_OTLP_PROTOCOL", _DEFAULT_PROTOCOL).strip().lower()
 
 
 def _build_exporters(
     protocol: str,
-) -> tuple[SpanExporter, MetricExporter, LogExporter]:
+) -> tuple[SpanExporter, MetricExporter, LogRecordExporter]:
     """Return the (span, metric, log) exporters for the requested OTLP protocol.
 
     Raises ``ValueError`` for an unrecognised ``OTEL_EXPORTER_OTLP_PROTOCOL``.
     Exporter configuration comes from the standard ``OTEL_EXPORTER_OTLP_*``
-    environment variables.
+    environment variables. Exporter modules import lazily on purpose: only the
+    selected transport's dependency stack (grpc or http) is ever loaded.
     """
     if protocol == "grpc":
-        from opentelemetry.exporter.otlp.proto.grpc._log_exporter import OTLPLogExporter
-        from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
+        from opentelemetry.exporter.otlp.proto.grpc._log_exporter import (  # noqa: PLC0415 — lazy transport-specific import; no public log-exporter path.
+            OTLPLogExporter,
+        )
+        from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (  # noqa: PLC0415 — lazy transport-specific import.
             OTLPMetricExporter,
         )
-        from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
+        from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (  # noqa: PLC0415 — lazy transport-specific import.
             OTLPSpanExporter,
         )
 
         return OTLPSpanExporter(), OTLPMetricExporter(), OTLPLogExporter()
 
     if protocol == "http/protobuf":
-        from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
-        from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
+        from opentelemetry.exporter.otlp.proto.http._log_exporter import (  # noqa: PLC0415, PLC2701 — lazy transport-specific import; no public log-exporter path.
+            OTLPLogExporter,
+        )
+        from opentelemetry.exporter.otlp.proto.http.metric_exporter import (  # noqa: PLC0415 — lazy transport-specific import.
             OTLPMetricExporter,
         )
-        from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
+        from opentelemetry.exporter.otlp.proto.http.trace_exporter import (  # noqa: PLC0415 — lazy transport-specific import.
             OTLPSpanExporter,
         )
 
         return OTLPSpanExporter(), OTLPMetricExporter(), OTLPLogExporter()
 
     raise ValueError(
-        f"unsupported OTEL_EXPORTER_OTLP_PROTOCOL {protocol!r}; "
-        "expected 'grpc' or 'http/protobuf'"
+        f"unsupported OTEL_EXPORTER_OTLP_PROTOCOL {protocol!r}; expected 'grpc' or 'http/protobuf'"
+    )
+
+
+def _build_providers(
+    app: FastAPI, protocol: str, providers: list[TelemetryProvider]
+) -> tuple[TracerProvider, MeterProvider, LoggingHandler]:
+    """Build every provider and instrument ``app``.
+
+    Each provider is appended to ``providers`` as soon as it exists, so the
+    caller can roll back whatever was created when a later step fails.
+    """
+    span_exporter, metric_exporter, log_exporter = _build_exporters(protocol)
+
+    resource = Resource.create({"service.name": _service_name()})
+
+    tracer_provider = TracerProvider(resource=resource)
+    providers.append(tracer_provider)
+    tracer_provider.add_span_processor(BatchSpanProcessor(span_exporter))
+
+    meter_provider = MeterProvider(
+        resource=resource,
+        metric_readers=[PeriodicExportingMetricReader(metric_exporter)],
+    )
+    providers.append(meter_provider)
+
+    logger_provider = LoggerProvider(resource=resource)
+    providers.append(logger_provider)
+    logger_provider.add_log_record_processor(BatchLogRecordProcessor(log_exporter))
+    # Bridge stdlib logging (`log.info(...)` across the service) to OTLP so
+    # records reach Loki alongside the traces they belong to.
+    logging_handler = LoggingHandler(level=logging.INFO, logger_provider=logger_provider)
+
+    FastAPIInstrumentor.instrument_app(
+        app,
+        tracer_provider=tracer_provider,
+        meter_provider=meter_provider,
+        excluded_urls=_FASTAPI_EXCLUDED_URLS,
     )
+    return tracer_provider, meter_provider, logging_handler
 
 
 def setup_telemetry(app: FastAPI) -> bool:
@@ -109,8 +171,7 @@ def setup_telemetry(app: FastAPI) -> bool:
     logged and swallowed so a misconfigured collector never stops the API from
     serving.
     """
-    global _configured
-    if _configured:
+    if _state.configured:
         return True
 
     endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT")
@@ -118,39 +179,11 @@ def setup_telemetry(app: FastAPI) -> bool:
         log.info("OTEL_EXPORTER_OTLP_ENDPOINT unset; starting without OpenTelemetry")
         return False
 
-    providers: list[Any] = []
+    protocol = _protocol()
+    providers: list[TelemetryProvider] = []
     try:
-        protocol = _protocol()
-        span_exporter, metric_exporter, log_exporter = _build_exporters(protocol)
-
-        resource = Resource.create({"service.name": _service_name()})
-
-        tracer_provider = TracerProvider(resource=resource)
-        providers.append(tracer_provider)
-        tracer_provider.add_span_processor(BatchSpanProcessor(span_exporter))
-
-        meter_provider = MeterProvider(
-            resource=resource,
-            metric_readers=[PeriodicExportingMetricReader(metric_exporter)],
-        )
-        providers.append(meter_provider)
-
-        logger_provider = LoggerProvider(resource=resource)
-        providers.append(logger_provider)
-        logger_provider.add_log_record_processor(
-            BatchLogRecordProcessor(log_exporter)
-        )
-        # Bridge stdlib logging (`log.info(...)` across the service) to OTLP so
-        # records reach Loki alongside the traces they belong to.
-        logging_handler = LoggingHandler(
-            level=logging.INFO, logger_provider=logger_provider
-        )
-
-        FastAPIInstrumentor.instrument_app(
-            app,
-            tracer_provider=tracer_provider,
-            meter_provider=meter_provider,
-            excluded_urls=_FASTAPI_EXCLUDED_URLS,
+        tracer_provider, meter_provider, logging_handler = _build_providers(
+            app, protocol, providers
         )
     except Exception:
         log.exception("OpenTelemetry bootstrap failed; continuing without telemetry")
@@ -167,8 +200,8 @@ def setup_telemetry(app: FastAPI) -> bool:
         service_logger.setLevel(logging.INFO)
         service_logger.addHandler(logging_handler)
 
-    _providers.extend(providers)
-    _configured = True
+    _state.providers.extend(providers)
+    _state.configured = True
     log.info(
         "OpenTelemetry exporting to %s as %r over %s",
         endpoint,
@@ -180,12 +213,12 @@ def setup_telemetry(app: FastAPI) -> bool:
 
 def flush_telemetry() -> None:
     """Flush buffered telemetry without shutting down the providers."""
-    for provider in reversed(_providers):
+    for provider in reversed(_state.providers):
         with suppress(Exception):
             provider.force_flush()
 
 
-def _shutdown_unpublished_providers(providers: list[Any]) -> None:
+def _shutdown_unpublished_providers(providers: list[TelemetryProvider]) -> None:
     """Clean up providers that have not been published as OTEL globals."""
     for provider in reversed(providers):
         with suppress(Exception):
diff --git a/apps/petrinaut-opt/src/utils.py b/apps/petrinaut-opt/src/utils.py
index 70f348c154a..25b4bfba229 100644
--- a/apps/petrinaut-opt/src/utils.py
+++ b/apps/petrinaut-opt/src/utils.py
@@ -1,18 +1,17 @@
-from datetime import datetime, timezone
-from enum import Enum
+"""Run-scoped status tracking shared by the optimization API routes."""
+
+from datetime import UTC, datetime
+from enum import StrEnum
 from threading import Lock
 from uuid import uuid4
 
-from pydantic import BaseModel
-
 from fastapi import FastAPI
-
+from pydantic import BaseModel
 
 MAX_STATUS_HISTORY = 100
 
 
-# ── Helper classes and functions for API status ─────────────────────────────────────────────────────────────────
-class Phase(str, Enum):
+class Phase(StrEnum):
     idle = "idle"
     running = "running"
     done = "done"
@@ -42,8 +41,9 @@ def __init__(self, max_history: int = MAX_STATUS_HISTORY) -> None:
     def create(self) -> RunStatus:
         status = RunStatus(
             run_id=str(uuid4()),
-            updated_at=datetime.now(timezone.utc),
+            updated_at=datetime.now(UTC),
         )
+
         with self._lock:
             while len(self._statuses) >= self._max_history:
                 oldest_run_id = next(
@@ -54,17 +54,19 @@ def create(self) -> RunStatus:
                     ),
                     next(iter(self._statuses)),
                 )
+
                 del self._statuses[oldest_run_id]
+
             self._statuses[status.run_id] = status
+
         return status
 
     def update(self, run_id: str, **changes: object) -> RunStatus:
         with self._lock:
             current = self._statuses[run_id]
-            updated = current.model_copy(
-                update={**changes, "updated_at": datetime.now(timezone.utc)}
-            )
+            updated = current.model_copy(update={**changes, "updated_at": datetime.now(UTC)})
             self._statuses[run_id] = updated
+
             return updated
 
     def get(self, run_id: str) -> RunStatus | None:
@@ -81,7 +83,6 @@ def set_status(app: FastAPI, run_id: str | None = None, **changes: object) -> Ap
         return app.state.statuses.update(run_id, **changes)
 
     current = app.state.status
-    app.state.status = current.model_copy(
-        update={**changes, "updated_at": datetime.now(timezone.utc)}
-    )
+    app.state.status = current.model_copy(update={**changes, "updated_at": datetime.now(UTC)})
+
     return app.state.status
diff --git a/apps/petrinaut-opt/tests/conftest.py b/apps/petrinaut-opt/tests/conftest.py
index 02abc6c7115..35190456397 100644
--- a/apps/petrinaut-opt/tests/conftest.py
+++ b/apps/petrinaut-opt/tests/conftest.py
@@ -1,11 +1,10 @@
-from __future__ import annotations
-
 import pytest
+from pydantic import JsonValue
 
 
 @pytest.fixture
-def optimization_manifest() -> dict:
-    """The Python service deliberately treats this document as opaque JSON."""
+def optimization_manifest() -> dict[str, JsonValue]:
+    """Return a manifest the Python service treats as opaque JSON."""
     return {
         "kind": "petrinaut-optimization",
         "version": 1,
@@ -33,7 +32,8 @@ def optimization_manifest() -> dict:
 
 
 @pytest.fixture
-def optimization_description() -> dict:
+def optimization_description() -> dict[str, JsonValue]:
+    """Return the CLI-shaped ``optimization.describe`` result used by tests."""
     return {
         "direction": "maximize",
         "study": {"trials": 3, "sampler": "random", "seed": 42},
diff --git a/apps/petrinaut-opt/tests/test_optimization_api.py b/apps/petrinaut-opt/tests/test_optimization_api.py
index 0d057d010b3..0a86fe3aed1 100644
--- a/apps/petrinaut-opt/tests/test_optimization_api.py
+++ b/apps/petrinaut-opt/tests/test_optimization_api.py
@@ -1,28 +1,46 @@
-from __future__ import annotations
-
 import asyncio
 import logging
 import threading
-from typing import Any
+from collections.abc import AsyncIterator
+from typing import NoReturn
 
 import pytest
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
 from fastapi.testclient import TestClient
+from pydantic import JsonValue
+from starlette.types import Message, Receive, Scope, Send
 
 from src import optimization_api
+from src.optimization_api import ClosableModel
+
+
+class RecordingModel:
+    """Track how the CLI adapter is shut down."""
+
+    def __init__(self) -> None:
+        self.close_calls: list[bool] = []
+
+    def close(self, *, graceful: bool = True) -> None:
+        self.close_calls.append(graceful)
 
 
 class FakeOptimizer:
     n_trials = 1
 
-    async def stream_all(self, *_args: Any, **_kwargs: Any):
+    def __init__(self, pn_model: ClosableModel | None = None) -> None:
+        self.pn_model: ClosableModel = RecordingModel() if pn_model is None else pn_model
+        self.streamed: list[tuple[Request, str, int]] = []
+
+    async def stream_all(self, request: Request, run_id: str, n_trials: int) -> AsyncIterator[str]:
+        self.streamed.append((request, run_id, n_trials))
         yield (
             'data: {"step": 0, "params": {"rate": 1.0}, '
             '"init_state": {}, "metric": 2.0, "state": "COMPLETE"}\n\n'
         )
         yield "event: done\ndata: {}\n\n"
 
-    async def stream_best(self, *_args: Any, **_kwargs: Any):
+    async def stream_best(self, request: Request, run_id: str, n_trials: int) -> AsyncIterator[str]:
+        self.streamed.append((request, run_id, n_trials))
         yield (
             'data: {"step": 0, "params": {"rate": 1.0}, '
             '"init_state": {}, "metric": 2.0, "state": "COMPLETE"}\n\n'
@@ -31,12 +49,12 @@ async def stream_best(self, *_args: Any, **_kwargs: Any):
 
 
 def test_posts_an_opaque_manifest_to_the_all_sse_route(
-    optimization_manifest: dict,
-    monkeypatch,
+    optimization_manifest: dict[str, JsonValue],
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    received: list[dict[str, Any]] = []
+    received: list[dict[str, JsonValue]] = []
 
-    def initialize(manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(manifest: dict[str, JsonValue]) -> FakeOptimizer:
         received.append(manifest)
         return FakeOptimizer()
 
@@ -56,12 +74,12 @@ def initialize(manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
 
 def test_posts_an_opaque_manifest_to_the_best_sse_route(
-    optimization_manifest: dict,
-    monkeypatch,
+    optimization_manifest: dict[str, JsonValue],
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    received: list[dict[str, Any]] = []
+    received: list[dict[str, JsonValue]] = []
 
-    def initialize(manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(manifest: dict[str, JsonValue]) -> FakeOptimizer:
         received.append(manifest)
         return FakeOptimizer()
 
@@ -83,7 +101,7 @@ def test_get_is_not_retained_for_manifest_routes() -> None:
         assert client.get("/optimize/best").status_code == 405
 
 
-def test_rejects_oversized_manifests_on_both_routes(monkeypatch) -> None:
+def test_rejects_oversized_manifests_on_both_routes(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setattr(optimization_api, "MAX_REQUEST_BODY_BYTES", 8)
 
     with TestClient(optimization_api.app) as client:
@@ -94,27 +112,25 @@ def test_rejects_oversized_manifests_on_both_routes(monkeypatch) -> None:
     assert best_response.status_code == 413
 
 
-def test_rejects_an_oversized_chunked_manifest(monkeypatch) -> None:
+def test_rejects_an_oversized_chunked_manifest(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setattr(optimization_api, "MAX_REQUEST_BODY_BYTES", 5)
-    incoming = iter(
-        [
-            {"type": "http.request", "body": b"123", "more_body": True},
-            {"type": "http.request", "body": b"456", "more_body": False},
-        ]
-    )
-    outgoing: list[dict[str, Any]] = []
+    incoming = iter([
+        {"type": "http.request", "body": b"123", "more_body": True},
+        {"type": "http.request", "body": b"456", "more_body": False},
+    ])
+    outgoing: list[Message] = []
 
-    async def receive() -> dict[str, Any]:
+    async def receive() -> Message:  # noqa: RUF029 — ASGI receive callables must be coroutines.
         return next(incoming)
 
-    async def send(message: dict[str, Any]) -> None:
+    async def send(message: Message) -> None:  # noqa: RUF029 — ASGI send callables must be coroutines.
         outgoing.append(message)
 
-    async def downstream(_scope, receive_body, _send) -> None:
+    async def downstream(_scope: Scope, receive_body: Receive, _send: Send) -> None:
         while (await receive_body()).get("more_body", False):
             pass
 
-    scope = {
+    scope: Scope = {
         "type": "http",
         "asgi": {"version": "3.0"},
         "http_version": "1.1",
@@ -129,18 +145,16 @@ async def downstream(_scope, receive_body, _send) -> None:
         "server": ("127.0.0.1", 4004),
     }
 
-    asyncio.run(
-        optimization_api.RequestBodyLimitMiddleware(downstream)(scope, receive, send)
-    )
+    asyncio.run(optimization_api.RequestBodyLimitMiddleware(downstream)(scope, receive, send))
 
     assert outgoing[0]["status"] == 413
 
 
 def test_reports_initialization_failure_with_the_run_id(
-    optimization_manifest: dict,
-    monkeypatch,
+    optimization_manifest: dict[str, JsonValue],
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(_manifest: dict[str, JsonValue]) -> NoReturn:
         raise RuntimeError("manifest rejected by CLI")
 
     monkeypatch.setattr(optimization_api, "initialize_optimizer", initialize)
@@ -166,26 +180,29 @@ def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
 
 def test_initialization_failure_log_omits_the_raw_error_message(
-    optimization_manifest: dict,
-    monkeypatch,
-    caplog,
+    optimization_manifest: dict[str, JsonValue],
+    monkeypatch: pytest.MonkeyPatch,
+    caplog: pytest.LogCaptureFixture,
 ) -> None:
     """The CLI error string can embed user content, so it must not be logged."""
-    secret = "Petrinaut failed to load the optimization manifest: user_secret_xyz"
+    user_content_error = "Petrinaut failed to load the optimization manifest: user_secret_xyz"
 
-    def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
-        raise RuntimeError(secret)
+    def initialize(_manifest: dict[str, JsonValue]) -> NoReturn:
+        raise RuntimeError(user_content_error)
 
     monkeypatch.setattr(optimization_api, "initialize_optimizer", initialize)
 
-    with caplog.at_level("ERROR", logger="pn_api"):
-        with TestClient(optimization_api.app) as client:
-            response = client.post("/optimize/all", json=optimization_manifest)
+    with caplog.at_level("ERROR", logger="pn_api"), TestClient(optimization_api.app) as client:
+        response = client.post("/optimize/all", json=optimization_manifest)
 
-    failures = [r for r in caplog.records if r.event == "initialization_failed"]
+    failures = [
+        record
+        for record in caplog.records
+        if getattr(record, "event", None) == "initialization_failed"
+    ]
     assert failures
     record = failures[0]
-    assert record.error_type == "RuntimeError"
+    assert vars(record)["error_type"] == "RuntimeError"
     assert not hasattr(record, "error_category")
     assert not hasattr(record, "error")
     assert "user_secret_xyz" not in record.getMessage()
@@ -194,18 +211,19 @@ def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
 
 def test_initializer_runs_off_the_event_loop(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     initializer_thread_ids: list[int] = []
 
-    def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(_manifest: dict[str, JsonValue]) -> FakeOptimizer:
         initializer_thread_ids.append(threading.get_ident())
         return FakeOptimizer()
 
     monkeypatch.setattr(optimization_api, "initialize_optimizer", initialize)
 
     with TestClient(optimization_api.app) as client:
+        assert client.portal is not None
         event_loop_thread_id = client.portal.call(threading.get_ident)
         response = client.post("/optimize/all", json=optimization_manifest)
 
@@ -215,12 +233,10 @@ def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
 
 def test_rejects_studies_above_the_process_local_limit(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
     with TestClient(optimization_api.app) as client:
-        optimization_api.app.state.active_optimizations = (
-            optimization_api.MAX_ACTIVE_OPTIMIZATIONS
-        )
+        optimization_api.app.state.active_optimizations = optimization_api.MAX_ACTIVE_OPTIMIZATIONS
         response = client.post("/optimize/all", json=optimization_manifest)
 
     assert response.status_code == 429
@@ -228,41 +244,29 @@ def test_rejects_studies_above_the_process_local_limit(
 
 
 def test_capacity_rejection_is_logged_with_the_request_id(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     caplog: pytest.LogCaptureFixture,
 ) -> None:
-    with caplog.at_level(logging.WARNING, logger="pn_api"):
-        with TestClient(optimization_api.app) as client:
-            optimization_api.app.state.active_optimizations = (
-                optimization_api.MAX_ACTIVE_OPTIMIZATIONS
-            )
-            response = client.post(
-                "/optimize/all",
-                json=optimization_manifest,
-                headers={"x-hash-request-id": "request-cap-1"},
-            )
+    with (
+        caplog.at_level(logging.WARNING, logger="pn_api"),
+        TestClient(optimization_api.app) as client,
+    ):
+        optimization_api.app.state.active_optimizations = optimization_api.MAX_ACTIVE_OPTIMIZATIONS
+        response = client.post(
+            "/optimize/all",
+            json=optimization_manifest,
+            headers={"x-hash-request-id": "request-cap-1"},
+        )
 
     assert response.status_code == 429
     rejection = next(
-        record
-        for record in caplog.records
-        if getattr(record, "event", None) == "capacity_rejected"
+        record for record in caplog.records if getattr(record, "event", None) == "capacity_rejected"
     )
-    assert rejection.request_id == "request-cap-1"
-    assert rejection.active_optimizations == optimization_api.MAX_ACTIVE_OPTIMIZATIONS
+    assert vars(rejection)["request_id"] == "request-cap-1"
+    assert vars(rejection)["active_optimizations"] == optimization_api.MAX_ACTIVE_OPTIMIZATIONS
     assert "manifest" not in rejection.getMessage()
 
 
-class RecordingModel:
-    """Track how the CLI adapter is shut down."""
-
-    def __init__(self) -> None:
-        self.close_calls: list[bool] = []
-
-    def close(self, *, graceful: bool = True) -> None:
-        self.close_calls.append(graceful)
-
-
 def _admitted_test_app(active_optimizations: int) -> FastAPI:
     test_app = FastAPI()
     test_app.state.optimization_admission_lock = asyncio.Lock()
@@ -270,44 +274,32 @@ def _admitted_test_app(active_optimizations: int) -> FastAPI:
     return test_app
 
 
-def _optimizer_with_recording_model() -> FakeOptimizer:
-    optimizer = FakeOptimizer()
-    optimizer.pn_model = RecordingModel()  # type: ignore[attr-defined]
-    return optimizer
-
-
 def test_releases_admission_slot_when_a_stream_fails() -> None:
     test_app = _admitted_test_app(active_optimizations=1)
-    optimizer = _optimizer_with_recording_model()
-    cleanup = optimization_api._create_admitted_run_cleanup(
-        test_app,
-        optimizer,  # type: ignore[arg-type]
-    )
+    model = RecordingModel()
+    optimizer = FakeOptimizer(model)
+    cleanup = optimization_api._create_admitted_run_cleanup(test_app, optimizer)
 
-    async def failing_stream():
+    async def failing_stream() -> AsyncIterator[str]:  # noqa: RUF029 — must be an async iterator to feed the stream wrapper.
         raise RuntimeError("stream failed")
         yield "unreachable"  # pragma: no cover
 
     async def consume() -> None:
         with pytest.raises(RuntimeError, match="stream failed"):
-            async for _frame in optimization_api._stream_with_cleanup(
-                failing_stream(), cleanup
-            ):
+            async for _frame in optimization_api._stream_with_cleanup(failing_stream(), cleanup):
                 pass
 
     asyncio.run(consume())
 
     assert test_app.state.active_optimizations == 0
-    assert optimizer.pn_model.close_calls == [False]  # type: ignore[attr-defined]
+    assert model.close_calls == [False]
 
 
 def test_admitted_run_cleanup_releases_the_slot_exactly_once() -> None:
     test_app = _admitted_test_app(active_optimizations=1)
-    optimizer = _optimizer_with_recording_model()
-    cleanup = optimization_api._create_admitted_run_cleanup(
-        test_app,
-        optimizer,  # type: ignore[arg-type]
-    )
+    model = RecordingModel()
+    optimizer = FakeOptimizer(model)
+    cleanup = optimization_api._create_admitted_run_cleanup(test_app, optimizer)
 
     async def run_twice() -> None:
         await cleanup()
@@ -316,25 +308,24 @@ async def run_twice() -> None:
     asyncio.run(run_twice())
 
     assert test_app.state.active_optimizations == 0
-    assert optimizer.pn_model.close_calls == [False]  # type: ignore[attr-defined]
+    assert model.close_calls == [False]
 
 
 def test_background_cleanup_covers_a_stream_that_never_starts(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     """An aborted response may never pull the body, skipping generator finallys."""
-    optimizer = _optimizer_with_recording_model()
-    monkeypatch.setattr(
-        optimization_api, "initialize_optimizer", lambda _manifest, **_kwargs: optimizer
-    )
+    model = RecordingModel()
+    optimizer = FakeOptimizer(model)
+    monkeypatch.setattr(optimization_api, "initialize_optimizer", lambda _manifest: optimizer)
 
     async def abandon_response() -> None:
         test_app = optimization_api.app
         test_app.state.statuses = optimization_api.StatusStore()
         test_app.state.optimization_admission_lock = asyncio.Lock()
         test_app.state.active_optimizations = 0
-        scope = {
+        scope: Scope = {
             "type": "http",
             "app": test_app,
             "method": "POST",
@@ -342,10 +333,8 @@ async def abandon_response() -> None:
             "headers": [],
             "query_string": b"",
         }
-        request = optimization_api.Request(scope)
-        response = await optimization_api.post_optimize_all(
-            request, optimization_manifest
-        )
+        request = Request(scope)
+        response = await optimization_api.post_optimize_all(request, optimization_manifest)
 
         assert test_app.state.active_optimizations == 1
         assert response.background is not None
@@ -356,30 +345,28 @@ async def abandon_response() -> None:
 
     asyncio.run(abandon_response())
 
-    assert optimizer.pn_model.close_calls == [False]  # type: ignore[attr-defined]
+    assert model.close_calls == [False]
 
 
 def test_cancellation_during_initialization_closes_cli_and_releases_slot(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    test_app = FastAPI()
-    test_app.state.optimization_admission_lock = asyncio.Lock()
-    test_app.state.active_optimizations = 1
+    test_app = _admitted_test_app(active_optimizations=1)
     started = threading.Event()
     finish = threading.Event()
 
-    class ClosableModel:
+    class PromptCloseAssertingModel:
         closed = False
 
         def close(self, *, graceful: bool = True) -> None:
             assert graceful is False
             self.closed = True
 
-    optimizer = FakeOptimizer()
-    optimizer.pn_model = ClosableModel()  # type: ignore[attr-defined]
+    model = PromptCloseAssertingModel()
+    optimizer = FakeOptimizer(model)
 
-    def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(_manifest: dict[str, JsonValue]) -> FakeOptimizer:
         started.set()
         finish.wait(timeout=1)
         return optimizer
@@ -388,9 +375,7 @@ def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
     async def cancel_initialization() -> None:
         task = asyncio.create_task(
-            optimization_api._initialize_admitted_optimizer(
-                test_app, optimization_manifest
-            )
+            optimization_api._initialize_admitted_optimizer(test_app, optimization_manifest)
         )
         await asyncio.to_thread(started.wait, 1)
         task.cancel()
@@ -400,21 +385,22 @@ async def cancel_initialization() -> None:
 
     asyncio.run(cancel_initialization())
 
-    assert optimizer.pn_model.closed is True  # type: ignore[attr-defined]
+    assert model.closed is True
     assert test_app.state.active_optimizations == 0
 
 
 def test_second_cancellation_still_closes_an_abandoned_cli(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     """A cancel racing the init-cancel recovery must not orphan the CLI."""
     test_app = _admitted_test_app(active_optimizations=1)
-    optimizer = _optimizer_with_recording_model()
+    model = RecordingModel()
+    optimizer = FakeOptimizer(model)
     started = threading.Event()
     finish = threading.Event()
 
-    def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
+    def initialize(_manifest: dict[str, JsonValue]) -> FakeOptimizer:
         started.set()
         finish.wait(timeout=2)
         return optimizer
@@ -423,9 +409,7 @@ def initialize(_manifest: dict[str, Any], **_kwargs: Any) -> FakeOptimizer:
 
     async def cancel_twice() -> None:
         task = asyncio.create_task(
-            optimization_api._initialize_admitted_optimizer(
-                test_app, optimization_manifest
-            )
+            optimization_api._initialize_admitted_optimizer(test_app, optimization_manifest)
         )
         await asyncio.to_thread(started.wait, 1)
         task.cancel()
@@ -438,28 +422,26 @@ async def cancel_twice() -> None:
         # The abandoned CLI is closed by the initializer's done-callback,
         # which hands off to a daemon thread.
         for _ in range(100):
-            if optimizer.pn_model.close_calls:  # type: ignore[attr-defined]
+            if model.close_calls:
                 return
             await asyncio.sleep(0.01)
 
     asyncio.run(cancel_twice())
 
-    assert optimizer.pn_model.close_calls == [False]  # type: ignore[attr-defined]
+    assert model.close_calls == [False]
     assert test_app.state.active_optimizations == 0
 
 
-def test_openapi_exposes_post_sse_paths_with_an_untyped_json_body() -> None:
+def test_openapi_exposes_post_sse_paths_with_a_json_object_body() -> None:
     schema = optimization_api.app.openapi()
 
     for path in ("/optimize/all", "/optimize/best"):
         operation = schema["paths"][path]
         assert "post" in operation
         assert "get" not in operation
-        request_schema = operation["post"]["requestBody"]["content"][
-            "application/json"
-        ]["schema"]
+        request_schema = operation["post"]["requestBody"]["content"]["application/json"]["schema"]
         assert request_schema["type"] == "object"
-        stream_schema = operation["post"]["responses"]["200"]["content"][
-            "text/event-stream"
-        ]["schema"]
+        stream_schema = operation["post"]["responses"]["200"]["content"]["text/event-stream"][
+            "schema"
+        ]
         assert stream_schema["type"] == "string"
diff --git a/apps/petrinaut-opt/tests/test_petrinaut_client.py b/apps/petrinaut-opt/tests/test_petrinaut_client.py
index 9efb349b15a..fe4ec6bff24 100644
--- a/apps/petrinaut-opt/tests/test_petrinaut_client.py
+++ b/apps/petrinaut-opt/tests/test_petrinaut_client.py
@@ -1,15 +1,16 @@
-from __future__ import annotations
-
 import io
 import json
 import signal
-import subprocess
+import subprocess  # noqa: S404 — the client under test owns a CLI subprocess.
 import sys
 import threading
 import time
-from typing import Any
+from collections.abc import Mapping, Sequence
+from dataclasses import dataclass
+from typing import override
 
 import pytest
+from pydantic import JsonValue
 
 from src import petrinaut_client
 from src.petrinaut_client import (
@@ -21,12 +22,13 @@
 
 
 class FakeProcess:
-    def __init__(self, responses: list[dict[str, Any]]) -> None:
+    def __init__(self, responses: list[dict[str, JsonValue]]) -> None:
         self.stdin = io.BytesIO()
         self.stdout = io.BytesIO(
             "".join(json.dumps(response) + "\n" for response in responses).encode()
         )
-        self.stderr = io.BytesIO(b"Petrinaut stdio ready for optimization\n")
+        self.stderr: io.BytesIO = io.BytesIO(b"Petrinaut stdio ready for optimization\n")
+        self.pid: int | None = None
         self.returncode: int | None = None
         self.terminated = False
         self.killed = False
@@ -34,7 +36,7 @@ def __init__(self, responses: list[dict[str, Any]]) -> None:
     def poll(self) -> int | None:
         return self.returncode
 
-    def wait(self, timeout: float | None = None) -> int:
+    def wait(self, _timeout: float | None = None, /) -> int:
         self.returncode = 0
         return 0
 
@@ -47,24 +49,60 @@ def kill(self) -> None:
         self.returncode = -9
 
 
+@dataclass(slots=True)
+class RecordedSpawn:
+    """Every argument the client handed to its process factory."""
+
+    command: Sequence[str]
+    stdin: int
+    stdout: int
+    stderr: int
+    bufsize: int
+    close_fds: bool
+    env: Mapping[str, str]
+    start_new_session: bool
+    umask: int
+
+
 def test_bootstraps_an_opaque_manifest_and_uses_optimization_methods(
-    optimization_manifest: dict,
-    optimization_description: dict,
+    optimization_manifest: dict[str, JsonValue],
+    optimization_description: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     monkeypatch.setenv("AWS_SECRET_ACCESS_KEY", "must-not-leak")
     monkeypatch.setenv("PETRINAUT_CLI_NODE_OPTIONS", "--max-old-space-size=768")
-    process = FakeProcess(
-        [
-            {"id": 1, "result": optimization_description},
-            {"id": 2, "result": {"objective": 12.5}},
-        ]
-    )
-    invocation: dict[str, Any] = {}
-
-    def popen_factory(command: list[str], **kwargs: Any) -> FakeProcess:
-        invocation["command"] = command
-        invocation["kwargs"] = kwargs
+    process = FakeProcess([
+        {"id": 1, "result": optimization_description},
+        {"id": 2, "result": {"objective": 12.5}},
+    ])
+    spawns: list[RecordedSpawn] = []
+
+    def popen_factory(
+        command: Sequence[str],
+        /,
+        *,
+        stdin: int,
+        stdout: int,
+        stderr: int,
+        bufsize: int,
+        close_fds: bool,
+        env: Mapping[str, str],
+        start_new_session: bool,
+        umask: int,
+    ) -> FakeProcess:
+        spawns.append(
+            RecordedSpawn(
+                command=command,
+                stdin=stdin,
+                stdout=stdout,
+                stderr=stderr,
+                bufsize=bufsize,
+                close_fds=close_fds,
+                env=env,
+                start_new_session=start_new_session,
+                umask=umask,
+            )
+        )
         return process
 
     model = PetrinautModel(
@@ -75,20 +113,21 @@ def popen_factory(command: list[str], **kwargs: Any) -> FakeProcess:
     model.start()
 
     assert model.describe_optimization() == optimization_description
-    assert model.objective({"rate": 1.25, "count": 6, "enabled": False}) == 12.5
+    assert model.objective({"rate": 1.25, "count": 6, "enabled": False}) == pytest.approx(12.5)
     lines = [json.loads(line) for line in process.stdin.getvalue().splitlines()]
 
-    assert invocation["command"] == [
+    spawn = spawns[0]
+    assert list(spawn.command) == [
         "node",
         "/cli.js",
         "serve",
         "--optimization-stdin",
         "--stdio",
     ]
-    assert invocation["kwargs"]["close_fds"] is True
-    assert invocation["kwargs"]["start_new_session"] is True
-    assert invocation["kwargs"]["env"]["NODE_OPTIONS"] == ("--max-old-space-size=768")
-    assert "AWS_SECRET_ACCESS_KEY" not in invocation["kwargs"]["env"]
+    assert spawn.close_fds is True
+    assert spawn.start_new_session is True
+    assert spawn.env["NODE_OPTIONS"] == "--max-old-space-size=768"
+    assert "AWS_SECRET_ACCESS_KEY" not in spawn.env
     assert lines == [
         optimization_manifest,
         {"id": 1, "method": "optimization.describe"},
@@ -110,7 +149,7 @@ def popen_factory(command: list[str], **kwargs: Any) -> FakeProcess:
 
 
 def test_bootstrap_and_protocol_reads_use_bounded_defaults(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
     model = PetrinautModel(optimization_manifest)
 
@@ -119,7 +158,7 @@ def test_bootstrap_and_protocol_reads_use_bounded_defaults(
 
 
 def test_bootstrap_timeout_terminates_a_stuck_process(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     monkeypatch.setattr(petrinaut_client, "PROCESS_SHUTDOWN_TIMEOUT_SECONDS", 0.05)
@@ -138,7 +177,7 @@ def test_bootstrap_timeout_terminates_a_stuck_process(
 
 
 def test_protocol_timeout_terminates_a_stuck_process(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     monkeypatch.setattr(petrinaut_client, "PROCESS_SHUTDOWN_TIMEOUT_SECONDS", 0.05)
@@ -166,7 +205,7 @@ def test_protocol_timeout_terminates_a_stuck_process(
 
 
 def test_rejects_an_oversized_protocol_line(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     process = FakeProcess([])
@@ -186,19 +225,18 @@ def test_rejects_an_oversized_protocol_line(
 
 
 def test_drains_stderr_after_the_ready_line(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
     drained = threading.Event()
 
     class TrackingStream(io.BytesIO):
-        def read(self, size: int = -1) -> bytes:
+        @override
+        def read(self, size: int | None = -1) -> bytes:
             drained.set()
             return super().read(size)
 
     process = FakeProcess([])
-    process.stderr = TrackingStream(
-        b"Petrinaut stdio ready for optimization\ndiagnostic\n"
-    )
+    process.stderr = TrackingStream(b"Petrinaut stdio ready for optimization\ndiagnostic\n")
     model = PetrinautModel(
         optimization_manifest,
         popen_factory=lambda *_args, **_kwargs: process,
@@ -210,17 +248,20 @@ def read(self, size: int = -1) -> bytes:
     model.close()
 
 
+class UnkillableProcess(FakeProcess):
+    """A process whose ``wait`` always times out, forcing signal escalation."""
+
+    @override
+    def wait(self, _timeout: float | None = None, /) -> int:
+        raise subprocess.TimeoutExpired("petrinaut", _timeout or 0)
+
+
 def test_close_signals_the_isolated_process_group(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    process = FakeProcess([])
+    process = UnkillableProcess([])
     process.pid = 12345
-
-    def wait(*, timeout: float | None = None) -> int:
-        raise subprocess.TimeoutExpired("petrinaut", timeout)
-
-    process.wait = wait  # type: ignore[method-assign]
     signals: list[tuple[int, signal.Signals]] = []
     monkeypatch.setattr(
         petrinaut_client.os,
@@ -241,24 +282,30 @@ def wait(*, timeout: float | None = None) -> int:
     ]
 
 
+class ShutdownRecordingProcess(FakeProcess):
+    """Record the interleaving of ``killpg`` calls and shutdown waits."""
+
+    def __init__(self, responses: list[dict[str, JsonValue]]) -> None:
+        super().__init__(responses)
+        self.events: list[str] = []
+
+    @override
+    def wait(self, _timeout: float | None = None, /) -> int:
+        self.events.append("wait")
+        self.returncode = -signal.SIGTERM
+        return self.returncode
+
+
 def test_prompt_close_signals_the_group_before_any_shutdown_wait(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    process = FakeProcess([])
+    process = ShutdownRecordingProcess([])
     process.pid = 12345
-    events: list[str] = []
-
-    def wait(*, timeout: float | None = None) -> int:
-        events.append("wait")
-        process.returncode = -signal.SIGTERM
-        return process.returncode
-
-    process.wait = wait  # type: ignore[method-assign]
     monkeypatch.setattr(
         petrinaut_client.os,
         "killpg",
-        lambda _pid, sent_signal: events.append(
+        lambda _pid, sent_signal: process.events.append(
             f"killpg:{signal.Signals(sent_signal).name}"
         ),
     )
@@ -270,11 +317,11 @@ def wait(*, timeout: float | None = None) -> int:
 
     model.close(graceful=False)
 
-    assert events == ["killpg:SIGTERM", "wait"]
+    assert process.events == ["killpg:SIGTERM", "wait"]
 
 
 def test_prompt_close_terminates_a_busy_process_quickly(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
     """A mid-trial CLI never notices stdin EOF, so cancellation must signal."""
     script = """
@@ -299,14 +346,12 @@ def test_prompt_close_terminates_a_busy_process_quickly(
 
 
 def test_cli_error_during_evaluation_is_recoverable(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
-    process = FakeProcess(
-        [
-            {"id": 1, "error": {"message": "scenario failed"}},
-            {"id": 2, "result": {"objective": 7}},
-        ]
-    )
+    process = FakeProcess([
+        {"id": 1, "error": {"message": "scenario failed"}},
+        {"id": 2, "result": {"objective": 7}},
+    ])
     model = PetrinautModel(
         optimization_manifest,
         popen_factory=lambda *_args, **_kwargs: process,
@@ -316,14 +361,14 @@ def test_cli_error_during_evaluation_is_recoverable(
     with pytest.raises(PetrinautRunError, match="scenario failed"):
         model.objective({"rate": 1})
 
-    assert model.objective({"rate": 2}) == 7.0
+    assert model.objective({"rate": 2}) == pytest.approx(7.0)
     model.close()
 
 
 @pytest.mark.parametrize("objective", [True, None, float("inf")])
 def test_rejects_a_non_finite_numeric_objective(
-    optimization_manifest: dict,
-    objective: Any,
+    optimization_manifest: dict[str, JsonValue],
+    objective: JsonValue,
 ) -> None:
     process = FakeProcess([{"id": 1, "result": {"objective": objective}}])
     model = PetrinautModel(
@@ -339,7 +384,7 @@ def test_rejects_a_non_finite_numeric_objective(
 
 
 def test_rejects_a_mismatched_protocol_response(
-    optimization_manifest: dict,
+    optimization_manifest: dict[str, JsonValue],
 ) -> None:
     process = FakeProcess([{"id": 99, "result": {"objective": 12.5}}])
     model = PetrinautModel(
diff --git a/apps/petrinaut-opt/tests/test_petrinaut_optimizer.py b/apps/petrinaut-opt/tests/test_petrinaut_optimizer.py
index 79d0f6d6e13..6d7e2037d05 100644
--- a/apps/petrinaut-opt/tests/test_petrinaut_optimizer.py
+++ b/apps/petrinaut-opt/tests/test_petrinaut_optimizer.py
@@ -1,41 +1,38 @@
-from __future__ import annotations
-
 import asyncio
 import json
 import logging
 import threading
 import time
-from typing import Any
+from collections.abc import Mapping
+from typing import override
 
 import optuna
 import pytest
 from fastapi import FastAPI
+from pydantic import JsonValue, ValidationError
 
 from src import petrinaut_optimizer
-from src.petrinaut_client import PetrinautClientError, PetrinautRunError
+from src.petrinaut_client import PetrinautClientError, PetrinautRunError, Scalar
 from src.petrinaut_optimizer import PetrinautOptimizer
 from src.utils import Phase, StatusStore
 
 
 class FakeModel:
-    eval_timeout = None
-
-    def __init__(self, description: dict[str, Any]) -> None:
+    def __init__(self, description: dict[str, JsonValue]) -> None:
         self.description = description
-        self.evaluations: list[dict[str, Any]] = []
+        self.evaluations: list[Mapping[str, Scalar]] = []
         self.closed = False
         self.close_calls: list[bool] = []
 
-    def describe_optimization(self) -> dict[str, Any]:
+    def describe_optimization(self) -> dict[str, JsonValue]:
         return self.description
 
-    def objective(self, parameter_values: dict[str, Any]) -> float:
+    def objective(self, parameter_values: Mapping[str, Scalar], /) -> float:
         self.evaluations.append(parameter_values)
-        return float(
-            parameter_values["rate"]
-            + parameter_values["count"]
-            + int(parameter_values["enabled"])
-        )
+        rate = parameter_values["rate"]
+        count = parameter_values["count"]
+        enabled = parameter_values["enabled"]
+        return float(rate) + float(count) + float(enabled)
 
     def close(self, *, graceful: bool = True) -> None:
         self.closed = True
@@ -43,28 +40,31 @@ def close(self, *, graceful: bool = True) -> None:
 
 
 class SlowModel(FakeModel):
-    def objective(self, parameter_values: dict[str, Any]) -> float:
+    @override
+    def objective(self, parameter_values: Mapping[str, Scalar], /) -> float:
         time.sleep(0.04)
         return super().objective(parameter_values)
 
 
 class FailingModel(FakeModel):
-    def __init__(self, description: dict[str, Any], error: Exception) -> None:
+    def __init__(self, description: dict[str, JsonValue], error: Exception) -> None:
         super().__init__(description)
         self.error = error
 
-    def objective(self, parameter_values: dict[str, Any]) -> float:
+    @override
+    def objective(self, parameter_values: Mapping[str, Scalar], /) -> float:
         self.evaluations.append(parameter_values)
         raise self.error
 
 
 class StubbornModel(FakeModel):
-    def __init__(self, description: dict[str, Any]) -> None:
+    def __init__(self, description: dict[str, JsonValue]) -> None:
         super().__init__(description)
         self.entered = threading.Event()
         self.release = threading.Event()
 
-    def objective(self, parameter_values: dict[str, Any]) -> float:
+    @override
+    def objective(self, _parameter_values: Mapping[str, Scalar], /) -> float:
         self.entered.set()
         self.release.wait()
         raise PetrinautClientError("CLI closed")
@@ -75,9 +75,10 @@ def __init__(self) -> None:
         self.app = FastAPI()
         self.app.state.statuses = StatusStore()
         self.headers: dict[str, str] = {}
+        self.disconnected = False
 
     async def is_disconnected(self) -> bool:
-        return False
+        return self.disconnected
 
 
 class DisconnectedAfterWorkerStarts(ConnectedRequest):
@@ -85,6 +86,7 @@ def __init__(self, model: StubbornModel) -> None:
         super().__init__()
         self.model = model
 
+    @override
     async def is_disconnected(self) -> bool:
         await asyncio.to_thread(self.model.entered.wait, 1)
         return True
@@ -94,11 +96,18 @@ def _run_id(request: ConnectedRequest) -> str:
     return request.app.state.statuses.create().run_id
 
 
+def _with_single_trial(description: dict[str, JsonValue]) -> dict[str, JsonValue]:
+    """Return a copy of the description whose study runs exactly one trial."""
+    study = description["study"]
+    assert isinstance(study, dict)
+    return {**description, "study": {**study, "trials": 1}}
+
+
 def test_maps_float_integer_step_and_boolean_descriptors_to_optuna(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
     model = FakeModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    optimizer = PetrinautOptimizer(model)
     trial = optuna.trial.FixedTrial({"rate": 0.5, "count": 6, "enabled": False})
 
     assert optimizer.suggest(trial) == {
@@ -112,32 +121,28 @@ def test_maps_float_integer_step_and_boolean_descriptors_to_optuna(
     assert isinstance(distributions["count"], optuna.distributions.IntDistribution)
     assert distributions["count"].step == 2
     assert distributions["count"].log is False
-    assert isinstance(
-        distributions["enabled"], optuna.distributions.CategoricalDistribution
-    )
+    assert isinstance(distributions["enabled"], optuna.distributions.CategoricalDistribution)
     assert distributions["enabled"].choices == (False, True)
 
 
 def test_objective_sends_only_flat_suggested_values(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
     model = FakeModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    optimizer = PetrinautOptimizer(model)
     trial = optuna.trial.FixedTrial({"rate": 1.25, "count": 8, "enabled": True})
 
-    assert optimizer.objective(trial) == 10.25
+    assert optimizer.objective(trial) == pytest.approx(10.25)
     assert model.evaluations == [{"rate": 1.25, "count": 8, "enabled": True}]
 
 
 def test_objective_prunes_only_evaluation_errors(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     caplog: pytest.LogCaptureFixture,
 ) -> None:
     sensitive_detail = "secret user-authored expression"
-    model = FailingModel(
-        optimization_description, PetrinautRunError(sensitive_detail)
-    )
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = FailingModel(optimization_description, PetrinautRunError(sensitive_detail))
+    optimizer = PetrinautOptimizer(model)
     trial = optuna.trial.FixedTrial({"rate": 1.25, "count": 8, "enabled": True})
 
     with (
@@ -146,20 +151,16 @@ def test_objective_prunes_only_evaluation_errors(
     ):
         optimizer.objective(trial)
 
-    record = next(
-        record for record in caplog.records if "pruned" in record.getMessage()
-    )
+    record = next(record for record in caplog.records if "pruned" in record.getMessage())
     assert sensitive_detail not in record.getMessage()
-    assert record.error_type == "PetrinautRunError"
+    assert vars(record)["error_type"] == "PetrinautRunError"
 
 
 def test_objective_propagates_transport_errors(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
-    model = FailingModel(
-        optimization_description, PetrinautClientError("transport failed")
-    )
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = FailingModel(optimization_description, PetrinautClientError("transport failed"))
+    optimizer = PetrinautOptimizer(model)
     trial = optuna.trial.FixedTrial({"rate": 1.25, "count": 8, "enabled": True})
 
     with pytest.raises(PetrinautClientError, match="transport failed"):
@@ -167,14 +168,10 @@ def test_objective_propagates_transport_errors(
 
 
 def test_uses_the_cli_supplied_seed_for_deterministic_sampling(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
-    first = PetrinautOptimizer(  # type: ignore[arg-type]
-        FakeModel(optimization_description)
-    )
-    second = PetrinautOptimizer(  # type: ignore[arg-type]
-        FakeModel(optimization_description)
-    )
+    first = PetrinautOptimizer(FakeModel(optimization_description))
+    second = PetrinautOptimizer(FakeModel(optimization_description))
 
     assert first.suggest(first.study.ask()) == second.suggest(second.study.ask())
 
@@ -212,33 +209,27 @@ def test_uses_the_cli_supplied_seed_for_deterministic_sampling(
     ],
 )
 def test_rejects_invalid_cli_descriptions(
-    optimization_description: dict,
-    change: dict[str, Any],
+    optimization_description: dict[str, JsonValue],
+    change: dict[str, JsonValue],
 ) -> None:
     optimization_description.update(change)
 
-    with pytest.raises(ValueError):
-        PetrinautOptimizer(  # type: ignore[arg-type]
-            FakeModel(optimization_description)
-        )
+    with pytest.raises(ValidationError):
+        PetrinautOptimizer(FakeModel(optimization_description))
 
 
 def test_stream_all_logs_the_study_lifecycle_with_correlation(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     caplog: pytest.LogCaptureFixture,
 ) -> None:
     model = FakeModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    optimizer = PetrinautOptimizer(model)
     request = ConnectedRequest()
-    request.headers = {"x-hash-request-id": "request-s1"}  # type: ignore[attr-defined]
+    request.headers = {"x-hash-request-id": "request-s1"}
     run_id = _run_id(request)
 
     async def consume() -> None:
-        async for _frame in optimizer.stream_all(
-            request,
-            run_id,
-            optimizer.n_trials,  # type: ignore[arg-type]
-        ):
+        async for _frame in optimizer.stream_all(request, run_id, optimizer.n_trials):
             pass
 
     with caplog.at_level(logging.INFO, logger="pn_optimize"):
@@ -251,29 +242,24 @@ async def consume() -> None:
     }
     for expected in ("study_started", "study_completed"):
         record = events[expected]
-        assert record.run_id == run_id
-        assert record.request_id == "request-s1"
-        assert record.trials == optimizer.n_trials
+        assert vars(record)["run_id"] == run_id
+        assert vars(record)["request_id"] == "request-s1"
+        assert vars(record)["trials"] == optimizer.n_trials
 
 
 def test_disconnect_is_logged_with_the_run_id(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
     caplog: pytest.LogCaptureFixture,
 ) -> None:
-    optimization_description["study"]["trials"] = 1
     monkeypatch.setattr(petrinaut_optimizer, "_WORKER_SHUTDOWN_TIMEOUT_SECONDS", 0.01)
-    model = StubbornModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = StubbornModel(_with_single_trial(optimization_description))
+    optimizer = PetrinautOptimizer(model)
     request = DisconnectedAfterWorkerStarts(model)
     run_id = _run_id(request)
 
     async def consume() -> None:
-        async for _frame in optimizer.stream_all(
-            request,
-            run_id,
-            optimizer.n_trials,  # type: ignore[arg-type]
-        ):
+        async for _frame in optimizer.stream_all(request, run_id, optimizer.n_trials):
             pass
         model.release.set()
         await asyncio.sleep(0.05)
@@ -286,69 +272,54 @@ async def consume() -> None:
         for record in caplog.records
         if getattr(record, "event", None) == "client_disconnected"
     )
-    assert disconnected.run_id == run_id
+    assert vars(disconnected)["run_id"] == run_id
 
 
 def test_stream_all_preserves_the_existing_sse_frame_shape(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
     model = FakeModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    optimizer = PetrinautOptimizer(model)
     request = ConnectedRequest()
 
     async def collect() -> list[str]:
         return [
             frame
-            async for frame in optimizer.stream_all(
-                request,
-                _run_id(request),
-                optimizer.n_trials,  # type: ignore[arg-type]
-            )
+            async for frame in optimizer.stream_all(request, _run_id(request), optimizer.n_trials)
         ]
 
     frames = asyncio.run(collect())
     data = [
-        json.loads(frame.removeprefix("data: "))
-        for frame in frames
-        if frame.startswith("data: ")
+        json.loads(frame.removeprefix("data: ")) for frame in frames if frame.startswith("data: ")
     ]
 
     assert frames[-1] == "event: done\ndata: {}\n\n"
     assert len(data) == 3
     assert all(
-        set(payload) == {"step", "params", "init_state", "metric", "state"}
-        for payload in data
+        set(payload) == {"step", "params", "init_state", "metric", "state"} for payload in data
     )
     assert all(payload["init_state"] == {} for payload in data)
-    assert all(
-        set(payload["params"]) == {"rate", "count", "enabled"} for payload in data
-    )
+    assert all(set(payload["params"]) == {"rate", "count", "enabled"} for payload in data)
     assert model.closed is True
     assert model.close_calls == [True]
 
 
 def test_stream_best_preserves_the_existing_sse_frame_shape(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
 ) -> None:
     model = FakeModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    optimizer = PetrinautOptimizer(model)
     request = ConnectedRequest()
 
     async def collect() -> list[str]:
         return [
             frame
-            async for frame in optimizer.stream_best(
-                request,
-                _run_id(request),
-                optimizer.n_trials,  # type: ignore[arg-type]
-            )
+            async for frame in optimizer.stream_best(request, _run_id(request), optimizer.n_trials)
         ]
 
     frames = asyncio.run(collect())
     data = [
-        json.loads(frame.removeprefix("data: "))
-        for frame in frames
-        if frame.startswith("data: ")
+        json.loads(frame.removeprefix("data: ")) for frame in frames if frame.startswith("data: ")
     ]
 
     assert frames[-1] == "event: done\ndata: {}\n\n"
@@ -360,23 +331,18 @@ async def collect() -> list[str]:
 
 
 def test_stream_sends_comment_heartbeats_while_a_trial_is_running(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    optimization_description["study"]["trials"] = 1
     monkeypatch.setattr(petrinaut_optimizer, "SSE_HEARTBEAT_SECONDS", 0.01)
-    model = SlowModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = SlowModel(_with_single_trial(optimization_description))
+    optimizer = PetrinautOptimizer(model)
     request = ConnectedRequest()
 
     async def collect() -> list[str]:
         return [
             frame
-            async for frame in optimizer.stream_all(
-                request,
-                _run_id(request),
-                optimizer.n_trials,  # type: ignore[arg-type]
-            )
+            async for frame in optimizer.stream_all(request, _run_id(request), optimizer.n_trials)
         ]
 
     frames = asyncio.run(collect())
@@ -387,27 +353,18 @@ async def collect() -> list[str]:
 
 @pytest.mark.parametrize("stream_name", ["stream_all", "stream_best"])
 def test_stream_error_is_terminal_and_is_not_followed_by_done(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     stream_name: str,
     caplog: pytest.LogCaptureFixture,
 ) -> None:
-    model = FailingModel(
-        optimization_description, PetrinautClientError("transport failed")
-    )
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = FailingModel(optimization_description, PetrinautClientError("transport failed"))
+    optimizer = PetrinautOptimizer(model)
     request = ConnectedRequest()
     run_id = _run_id(request)
 
     async def collect() -> list[str]:
         stream = getattr(optimizer, stream_name)
-        return [
-            frame
-            async for frame in stream(
-                request,
-                run_id,
-                optimizer.n_trials,  # type: ignore[arg-type]
-            )
-        ]
+        return [frame async for frame in stream(request, run_id, optimizer.n_trials)]
 
     with caplog.at_level(logging.WARNING, logger="pn_optimize"):
         frames = asyncio.run(collect())
@@ -425,35 +382,27 @@ async def collect() -> list[str]:
     assert model.closed is True
     assert model.close_calls == [False]
     failure = next(
-        record
-        for record in caplog.records
-        if getattr(record, "event", None) == "study_failed"
+        record for record in caplog.records if getattr(record, "event", None) == "study_failed"
     )
-    assert failure.run_id == run_id
+    assert vars(failure)["run_id"] == run_id
     assert "transport failed" not in failure.getMessage()
     assert not hasattr(failure, "detail")
 
 
 def test_disconnect_closes_cli_before_a_bounded_worker_join(
-    optimization_description: dict,
+    optimization_description: dict[str, JsonValue],
     monkeypatch: pytest.MonkeyPatch,
 ) -> None:
-    optimization_description["study"]["trials"] = 1
     monkeypatch.setattr(petrinaut_optimizer, "_WORKER_SHUTDOWN_TIMEOUT_SECONDS", 0.01)
-    model = StubbornModel(optimization_description)
-    optimizer = PetrinautOptimizer(model)  # type: ignore[arg-type]
+    model = StubbornModel(_with_single_trial(optimization_description))
+    optimizer = PetrinautOptimizer(model)
     request = DisconnectedAfterWorkerStarts(model)
     run_id = _run_id(request)
 
     async def collect() -> list[str]:
         started_at = time.monotonic()
         frames = [
-            frame
-            async for frame in optimizer.stream_all(
-                request,
-                run_id,
-                optimizer.n_trials,  # type: ignore[arg-type]
-            )
+            frame async for frame in optimizer.stream_all(request, run_id, optimizer.n_trials)
         ]
         assert time.monotonic() - started_at < 0.5
         model.release.set()
diff --git a/apps/petrinaut-opt/tests/test_status.py b/apps/petrinaut-opt/tests/test_status.py
index 8d111e39805..4aecfe2c334 100644
--- a/apps/petrinaut-opt/tests/test_status.py
+++ b/apps/petrinaut-opt/tests/test_status.py
@@ -1,69 +1,63 @@
-import unittest
-
+import pytest
 from fastapi import FastAPI
 
 from src.utils import Phase, StatusStore, set_status
 
 
-class StatusStoreTest(unittest.TestCase):
-    def setUp(self) -> None:
-        self.app = FastAPI()
-        self.app.state.statuses = StatusStore()
+@pytest.fixture
+def status_app() -> FastAPI:
+    app = FastAPI()
+    app.state.statuses = StatusStore()
+    return app
+
+
+def test_concurrent_runs_keep_independent_statuses(status_app: FastAPI) -> None:
+    first = status_app.state.statuses.create()
+    second = status_app.state.statuses.create()
 
-    def test_concurrent_runs_keep_independent_statuses(self) -> None:
-        first = self.app.state.statuses.create()
-        second = self.app.state.statuses.create()
+    set_status(status_app, first.run_id, phase=Phase.running, detail="first running")
+    set_status(status_app, second.run_id, phase=Phase.running, detail="second running")
+    set_status(status_app, first.run_id, phase=Phase.done, detail="first completed")
 
-        set_status(self.app, first.run_id, phase=Phase.running, detail="first running")
-        set_status(
-            self.app, second.run_id, phase=Phase.running, detail="second running"
-        )
-        set_status(self.app, first.run_id, phase=Phase.done, detail="first completed")
+    first_status = status_app.state.statuses.get(first.run_id)
+    second_status = status_app.state.statuses.get(second.run_id)
 
-        first_status = self.app.state.statuses.get(first.run_id)
-        second_status = self.app.state.statuses.get(second.run_id)
+    assert first_status is not None
+    assert first_status.phase is Phase.done
+    assert first_status.detail == "first completed"
+    assert second_status is not None
+    assert second_status.phase is Phase.running
+    assert second_status.detail == "second running"
 
-        self.assertEqual(first_status.phase, Phase.done)
-        self.assertEqual(first_status.detail, "first completed")
-        self.assertEqual(second_status.phase, Phase.running)
-        self.assertEqual(second_status.detail, "second running")
 
-    def test_all_returns_each_run_with_its_identifier(self) -> None:
-        first = self.app.state.statuses.create()
-        second = self.app.state.statuses.create()
+def test_all_returns_each_run_with_its_identifier(status_app: FastAPI) -> None:
+    first = status_app.state.statuses.create()
+    second = status_app.state.statuses.create()
 
-        statuses = self.app.state.statuses.all()
+    statuses = status_app.state.statuses.all()
 
-        self.assertEqual(
-            [status.run_id for status in statuses],
-            [first.run_id, second.run_id],
-        )
+    assert [status.run_id for status in statuses] == [first.run_id, second.run_id]
 
-    def test_history_discards_the_oldest_runs_at_its_limit(self) -> None:
-        statuses = StatusStore(max_history=2)
-        first = statuses.create()
-        second = statuses.create()
-        third = statuses.create()
 
-        self.assertIsNone(statuses.get(first.run_id))
-        self.assertEqual(
-            [status.run_id for status in statuses.all()],
-            [second.run_id, third.run_id],
-        )
+def test_history_discards_the_oldest_runs_at_its_limit() -> None:
+    statuses = StatusStore(max_history=2)
+    first = statuses.create()
+    second = statuses.create()
+    third = statuses.create()
 
-    def test_history_does_not_evict_a_running_run(self) -> None:
-        statuses = StatusStore(max_history=2)
-        running = statuses.create()
-        statuses.update(running.run_id, phase=Phase.running)
-        finished = statuses.create()
-        statuses.update(finished.run_id, phase=Phase.done)
+    assert statuses.get(first.run_id) is None
+    assert [status.run_id for status in statuses.all()] == [second.run_id, third.run_id]
 
-        newest = statuses.create()
 
-        self.assertIsNotNone(statuses.get(running.run_id))
-        self.assertIsNone(statuses.get(finished.run_id))
-        self.assertIsNotNone(statuses.get(newest.run_id))
+def test_history_does_not_evict_a_running_run() -> None:
+    statuses = StatusStore(max_history=2)
+    running = statuses.create()
+    statuses.update(running.run_id, phase=Phase.running)
+    finished = statuses.create()
+    statuses.update(finished.run_id, phase=Phase.done)
 
+    newest = statuses.create()
 
-if __name__ == "__main__":
-    unittest.main()
+    assert statuses.get(running.run_id) is not None
+    assert statuses.get(finished.run_id) is None
+    assert statuses.get(newest.run_id) is not None
diff --git a/apps/petrinaut-opt/tests/test_telemetry.py b/apps/petrinaut-opt/tests/test_telemetry.py
index 981ce36f92d..bf1d833bf30 100644
--- a/apps/petrinaut-opt/tests/test_telemetry.py
+++ b/apps/petrinaut-opt/tests/test_telemetry.py
@@ -1,11 +1,12 @@
-from __future__ import annotations
-
 import io
 import logging
 
+import pytest
 from fastapi import FastAPI
 from fastapi.testclient import TestClient
-from opentelemetry.sdk._logs.export import InMemoryLogRecordExporter
+from opentelemetry.sdk._logs.export import (  # noqa: PLC2701 — the OTEL logs SDK has no public import path yet.
+    InMemoryLogRecordExporter,
+)
 from opentelemetry.sdk.metrics.export import ConsoleMetricExporter
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
     InMemorySpanExporter,
@@ -29,21 +30,21 @@ def shutdown(self, *_args: object, **_kwargs: object) -> None:
         self.shut += 1
 
 
-def test_flush_preserves_active_providers(monkeypatch) -> None:
+def test_flush_preserves_active_providers(monkeypatch: pytest.MonkeyPatch) -> None:
     spies = [_SpyProvider() for _ in range(3)]
-    monkeypatch.setattr(telemetry, "_providers", list(spies))
+    monkeypatch.setattr(telemetry._state, "providers", list(spies))
 
     telemetry.flush_telemetry()
 
     assert all(spy.flushed == 1 for spy in spies)
     assert all(spy.shut == 0 for spy in spies)
-    assert telemetry._providers == spies
+    assert telemetry._state.providers == spies
 
 
-def test_setup_configures_service_telemetry(monkeypatch) -> None:
+def test_setup_configures_service_telemetry(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
-    monkeypatch.setattr(telemetry, "_configured", False)
-    monkeypatch.setattr(telemetry, "_providers", [])
+    monkeypatch.setattr(telemetry._state, "configured", False)
+    monkeypatch.setattr(telemetry._state, "providers", [])
     log_exporter = InMemoryLogRecordExporter()
     # Avoid opening real OTLP connections: swap the exporters for in-memory ones.
     monkeypatch.setattr(
@@ -73,11 +74,11 @@ def instrument(_app: FastAPI, **kwargs: object) -> None:
         monkeypatch.setattr(service_logger, "handlers", list(service_logger.handlers))
 
     assert telemetry.setup_telemetry(FastAPI()) is True
-    assert len(telemetry._providers) == 3
-    assert tracer_providers == [telemetry._providers[0]]
-    assert meter_providers == [telemetry._providers[1]]
-    assert instrumentation["tracer_provider"] is telemetry._providers[0]
-    assert instrumentation["meter_provider"] is telemetry._providers[1]
+    assert len(telemetry._state.providers) == 3
+    assert tracer_providers == [telemetry._state.providers[0]]
+    assert meter_providers == [telemetry._state.providers[1]]
+    assert instrumentation["tracer_provider"] is telemetry._state.providers[0]
+    assert instrumentation["meter_provider"] is telemetry._state.providers[1]
     assert instrumentation["excluded_urls"] == "status$"
     new_handlers = [
         handler
@@ -95,20 +96,18 @@ def instrument(_app: FastAPI, **kwargs: object) -> None:
     logging.getLogger("pn_api").info("optimization lifecycle test")
     logging.getLogger("opentelemetry.exporter").error("exporter failure test")
     telemetry.flush_telemetry()
-    exported_bodies = [
-        record.log_record.body for record in log_exporter.get_finished_logs()
-    ]
+    exported_bodies = [record.log_record.body for record in log_exporter.get_finished_logs()]
     assert "optimization lifecycle test" in exported_bodies
     assert "exporter failure test" not in exported_bodies
 
-    telemetry._shutdown_unpublished_providers(telemetry._providers)
-    telemetry._providers.clear()
+    telemetry._shutdown_unpublished_providers(telemetry._state.providers)
+    telemetry._state.providers.clear()
 
 
-def test_setup_cleans_up_partial_configuration(monkeypatch) -> None:
+def test_setup_cleans_up_partial_configuration(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
-    monkeypatch.setattr(telemetry, "_configured", False)
-    monkeypatch.setattr(telemetry, "_providers", [])
+    monkeypatch.setattr(telemetry._state, "configured", False)
+    monkeypatch.setattr(telemetry._state, "providers", [])
     monkeypatch.setattr(
         telemetry,
         "_build_exporters",
@@ -126,9 +125,7 @@ def test_setup_cleans_up_partial_configuration(monkeypatch) -> None:
     def fail_instrumentation(*_args: object, **_kwargs: object) -> None:
         raise RuntimeError("instrumentation failed")
 
-    monkeypatch.setattr(
-        telemetry.FastAPIInstrumentor, "instrument_app", fail_instrumentation
-    )
+    monkeypatch.setattr(telemetry.FastAPIInstrumentor, "instrument_app", fail_instrumentation)
     original_handlers = {
         logger_name: list(logging.getLogger(logger_name).handlers)
         for logger_name in telemetry._SERVICE_LOGGER_NAMES
@@ -137,12 +134,12 @@ def fail_instrumentation(*_args: object, **_kwargs: object) -> None:
     assert telemetry.setup_telemetry(FastAPI()) is False
     assert tracer_providers == []
     assert meter_providers == []
-    assert telemetry._providers == []
+    assert telemetry._state.providers == []
     for logger_name in telemetry._SERVICE_LOGGER_NAMES:
         assert logging.getLogger(logger_name).handlers == original_handlers[logger_name]
 
 
-def test_lifespan_flushes_telemetry_on_exit(monkeypatch) -> None:
+def test_lifespan_flushes_telemetry_on_exit(monkeypatch: pytest.MonkeyPatch) -> None:
     calls = {"count": 0}
 
     def _spy() -> None:
diff --git a/apps/petrinaut-opt/uv.lock b/apps/petrinaut-opt/uv.lock
deleted file mode 100644
index f86eb6be702..00000000000
--- a/apps/petrinaut-opt/uv.lock
+++ /dev/null
@@ -1,1818 +0,0 @@
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-revision = 3
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diff --git a/libs/@hashintel/petrinaut-cli/MODEL_EXAMPLES.md b/libs/@hashintel/petrinaut-cli/MODEL_EXAMPLES.md
index 9a999cfcccd..1eed638a882 100644
--- a/libs/@hashintel/petrinaut-cli/MODEL_EXAMPLES.md
+++ b/libs/@hashintel/petrinaut-cli/MODEL_EXAMPLES.md
@@ -28,9 +28,7 @@ The SIR model has two parameters, three uncolored places, and one metric.
 Uncolored initial states are supplied as token counts.
 
 ```python
-with PetrinautClient(
-    model=Path("libs/@hashintel/petrinaut-cli/examples/sir-model.json")
-) as client:
+with PetrinautClient(model=Path("libs/@hashintel/petrinaut-cli/examples/sir-model.json")) as client:
     result = client.run(
         parameters={
             "infection_rate": 1.5,
@@ -57,9 +55,7 @@ attributes defined by that color: `x`, `y`, `direction`, and `velocity`.
 
 ```python
 with PetrinautClient(
-    model=Path(
-        "libs/@hashintel/petrinaut-cli/examples/satellites-launcher.json"
-    )
+    model=Path("libs/@hashintel/petrinaut-cli/examples/satellites-launcher.json")
 ) as client:
     result = client.run(
         parameters={
@@ -92,9 +88,7 @@ This model combines token counts with several colors. `InboundShipments`,
 
 ```python
 with PetrinautClient(
-    model=Path(
-        "libs/@hashintel/petrinaut-cli/examples/supply-chain-with-disruption.json"
-    )
+    model=Path("libs/@hashintel/petrinaut-cli/examples/supply-chain-with-disruption.json")
 ) as client:
     result = client.run(
         parameters={
diff --git a/libs/@hashintel/petrinaut-cli/PYTHON_INTEGRATION.md b/libs/@hashintel/petrinaut-cli/PYTHON_INTEGRATION.md
index a6c08d3cda5..4c60596c007 100644
--- a/libs/@hashintel/petrinaut-cli/PYTHON_INTEGRATION.md
+++ b/libs/@hashintel/petrinaut-cli/PYTHON_INTEGRATION.md
@@ -113,6 +113,7 @@ import optuna
 
 client = PetrinautClient(CLI_PATH, MODEL_PATH)
 
+
 def objective(trial):
     result = client.run(
         parameters={
@@ -127,6 +128,7 @@ def objective(trial):
     )
     return result["metrics"]["Infected Fraction"]
 
+
 study = optuna.create_study(direction="minimize")
 study.optimize(objective, n_trials=100, n_jobs=1)
 client.close()
@@ -148,7 +150,7 @@ For parallel trials, create one client/process per Optuna worker.
   different color schemas:
 
   ```python
-  initialState={
+  initialState = {
       "InboundShipments": [
           {"eta": 1, "risk_score": 0.2, "source": 1, "cost": 10},
           {"eta": 2, "risk_score": 0.4, "source": 2, "cost": 12},
diff --git a/libs/@hashintel/petrinaut-cli/README.md b/libs/@hashintel/petrinaut-cli/README.md
index 2d5831f32b2..7f76432fbc7 100644
--- a/libs/@hashintel/petrinaut-cli/README.md
+++ b/libs/@hashintel/petrinaut-cli/README.md
@@ -83,6 +83,7 @@ sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
 sock.connect("/tmp/petrinaut.sock")
 stream = sock.makefile("rwb")
 
+
 def request(payload):
     stream.write((json.dumps(payload) + "\n").encode())
     stream.flush()
@@ -91,6 +92,7 @@ def request(payload):
         raise RuntimeError(response["error"]["message"])
     return response["result"]
 
+
 metadata = request({"id": 1, "method": "metadata"})
 
 result = request({
diff --git a/libs/@local/petrinaut-optimizer-client/package.json b/libs/@local/petrinaut-optimizer-client/package.json
index a4a01510818..311bd8a151e 100644
--- a/libs/@local/petrinaut-optimizer-client/package.json
+++ b/libs/@local/petrinaut-optimizer-client/package.json
@@ -24,8 +24,8 @@
     "eventsource-parser": "3.0.8"
   },
   "devDependencies": {
-    "@apps/petrinaut-opt": "workspace:*",
     "@local/tsconfig": "workspace:*",
+    "@python/petrinaut-optimization": "workspace:*",
     "openapi-typescript": "7.13.0",
     "oxfmt": "0.50.0",
     "rimraf": "6.1.3",
diff --git a/libs/@local/petrinaut-optimizer-client/src/openapi.gen.ts b/libs/@local/petrinaut-optimizer-client/src/openapi.gen.ts
index 18aec27ebb0..38c8dae4a3e 100644
--- a/libs/@local/petrinaut-optimizer-client/src/openapi.gen.ts
+++ b/libs/@local/petrinaut-optimizer-client/src/openapi.gen.ts
@@ -113,6 +113,7 @@ export interface components {
       /** Detail */
       detail?: components["schemas"]["ValidationError"][];
     };
+    JsonValue: unknown;
     /**
      * Phase
      * @enum {string}
@@ -183,7 +184,7 @@ export interface operations {
     requestBody: {
       content: {
         "application/json": {
-          [key: string]: unknown;
+          [key: string]: components["schemas"]["JsonValue"];
         };
       };
     };
@@ -241,7 +242,7 @@ export interface operations {
     requestBody: {
       content: {
         "application/json": {
-          [key: string]: unknown;
+          [key: string]: components["schemas"]["JsonValue"];
         };
       };
     };
diff --git a/libs/@local/repo-chores/python/LICENSE.md b/libs/@local/repo-chores/python/LICENSE.md
new file mode 100644
index 00000000000..9a70d795493
--- /dev/null
+++ b/libs/@local/repo-chores/python/LICENSE.md
@@ -0,0 +1,606 @@
+# GNU Affero General Public License
+
+_Version 3, 19 November 2007_
+_Copyright © 2007 Free Software Foundation, Inc. &lt;<http://fsf.org/>&gt;_
+
+Everyone is permitted to copy and distribute verbatim copies
+of this license document, but changing it is not allowed.
+
+## Preamble
+
+The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
+
+The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works. By contrast,
+our General Public Licenses are intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.
+
+When we speak of free software, we are referring to freedom, not
+price. Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+Developers that use our General Public Licenses protect your rights
+with two steps: **(1)** assert copyright on the software, and **(2)** offer
+you this License which gives you legal permission to copy, distribute
+and/or modify the software.
+
+A secondary benefit of defending all users' freedom is that
+improvements made in alternate versions of the program, if they
+receive widespread use, become available for other developers to
+incorporate. Many developers of free software are heartened and
+encouraged by the resulting cooperation. However, in the case of
+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
+letting the public access it on a server without ever releasing its
+source code to the public.
+
+The GNU Affero General Public License is designed specifically to
+ensure that, in such cases, the modified source code becomes available
+to the community. It requires the operator of a network server to
+provide the source code of the modified version running there to the
+users of that server. Therefore, public use of a modified version, on
+a publicly accessible server, gives the public access to the source
+code of the modified version.
+
+An older license, called the Affero General Public License and
+published by Affero, was designed to accomplish similar goals. This is
+a different license, not a version of the Affero GPL, but Affero has
+released a new version of the Affero GPL which permits relicensing under
+this license.
+
+The precise terms and conditions for copying, distribution and
+modification follow.
+
+## TERMS AND CONDITIONS
+
+### 0. Definitions
+
+“This License” refers to version 3 of the GNU Affero General Public License.
+
+“Copyright” also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+“The Program” refers to any copyrightable work licensed under this
+License. Each licensee is addressed as “you”. “Licensees” and
+“recipients” may be individuals or organizations.
+
+To “modify” a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy. The resulting work is called a “modified version” of the
+earlier work or a work “based on” the earlier work.
+
+A “covered work” means either the unmodified Program or a work based
+on the Program.
+
+To “propagate” a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy. Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+To “convey” a work means any kind of propagation that enables other
+parties to make or receive copies. Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+An interactive user interface displays “Appropriate Legal Notices”
+to the extent that it includes a convenient and prominently visible
+feature that **(1)** displays an appropriate copyright notice, and **(2)**
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License. If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+### 1. Source Code
+
+The “source code” for a work means the preferred form of the work
+for making modifications to it. “Object code” means any non-source
+form of a work.
+
+A “Standard Interface” means an interface that either is an official
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+
+The “System Libraries” of an executable work include anything, other
+than the work as a whole, that **(a)** is included in the normal form of
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+implementation is available to the public in source code form. A
+“Major Component”, in this context, means a major essential component
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+
+The Corresponding Source for a work in source code form is that
+same work.
+
+### 2. Basic Permissions
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+copyright on the Program, and are irrevocable provided the stated
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+### 6. Conveying Non-Source Forms
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+
+### 7. Additional Terms
+
+“Additional permissions” are terms that supplement the terms of this
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+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law. If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+When you convey a copy of a covered work, you may at your option
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+
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+All other non-permissive additional terms are considered “further
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+received it, or any part of it, contains a notice stating that it is
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+If you add terms to a covered work in accord with this section, you
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+
+Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+### 8. Termination
+
+You may not propagate or modify a covered work except as expressly
+provided under this License. Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+However, if you cease all violation of this License, then your
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+holder fails to notify you of the violation by some reasonable means
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+
+Moreover, your license from a particular copyright holder is
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+violation by some reasonable means, this is the first time you have
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+
+Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
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+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+### 9. Acceptance Not Required for Having Copies
+
+You are not required to accept this License in order to receive or
+run a copy of the Program. Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance. However,
+nothing other than this License grants you permission to propagate or
+modify any covered work. These actions infringe copyright if you do
+not accept this License. Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+### 10. Automatic Licensing of Downstream Recipients
+
+Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License. You are not responsible
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+
+An “entity transaction” is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
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+any patent claim is infringed by making, using, selling, offering for
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+
+### 11. Patents
+
+A “contributor” is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based. The
+work thus licensed is called the contributor's “contributor version”.
+
+A contributor's “essential patent claims” are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
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+
+Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
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+In the following three paragraphs, a “patent license” is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement). To “grant” such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
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+then you must either **(1)** cause the Corresponding Source to be so
+available, or **(2)** arrange to deprive yourself of the benefit of the
+patent license for this particular work, or **(3)** arrange, in a manner
+consistent with the requirements of this License, to extend the patent
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+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+A patent license is “discriminatory” if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License. You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license **(a)** in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or **(b)** primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+### 12. No Surrender of Others' Freedom
+
+If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License. If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all. For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+### 13. Remote Network Interaction; Use with the GNU General Public License
+
+Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software. This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
+
+Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
+combined work, and to convey the resulting work. The terms of this
+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+### 14. Revised Versions of this License
+
+The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time. Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+Each version is given a distinguishing version number. If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License “or any later version” applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation. If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+Later license versions may give you additional or different
+permissions. However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+### 15. Disclaimer of Warranty
+
+THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+### 16. Limitation of Liability
+
+IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+### 17. Interpretation of Sections 15 and 16
+
+If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
diff --git a/libs/@local/repo-chores/python/package.json b/libs/@local/repo-chores/python/package.json
new file mode 100644
index 00000000000..ca1de8a3645
--- /dev/null
+++ b/libs/@local/repo-chores/python/package.json
@@ -0,0 +1,11 @@
+{
+  "name": "@python/hash-repo-chores",
+  "version": "0.0.0-private",
+  "private": true,
+  "license": "AGPL-3",
+  "scripts": {
+    "fix:ruff": "uv run --frozen ruff check --fix . && uv run --frozen ruff format .",
+    "lint:ruff": "uv run --frozen ruff check . && uv run --frozen ruff format --check .",
+    "test:unit": "uv run --frozen pytest tests"
+  }
+}
diff --git a/libs/@local/repo-chores/python/pyproject.toml b/libs/@local/repo-chores/python/pyproject.toml
new file mode 100644
index 00000000000..b826267cd04
--- /dev/null
+++ b/libs/@local/repo-chores/python/pyproject.toml
@@ -0,0 +1,25 @@
+[project]
+name = "hash-repo-chores"
+version = "0.0.0"
+description = "Keeps the boring parts of the Python workspace correct: membership, version bounds, and turbo wiring"
+requires-python = ">=3.14,<3.15"
+dependencies = [
+    "packaging>=26.2,<27",
+    "tomlkit>=0.15,<0.16",
+]
+
+[project.scripts]
+repo-chores = "repo_chores.cli:main"
+
+[build-system]
+requires      = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["repo_chores"]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.1.1,<10",
+    "ruff>=0.15.21,<0.16",
+]
diff --git a/libs/@local/repo-chores/python/repo_chores/__init__.py b/libs/@local/repo-chores/python/repo_chores/__init__.py
new file mode 100644
index 00000000000..fa721554570
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/__init__.py
@@ -0,0 +1 @@
+"""Workspace chores for the Python side of the monorepo."""
diff --git a/libs/@local/repo-chores/python/repo_chores/cli.py b/libs/@local/repo-chores/python/repo_chores/cli.py
new file mode 100644
index 00000000000..7e07c5e17be
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/cli.py
@@ -0,0 +1,107 @@
+"""Command-line entry point for the Python repo chores."""
+
+import argparse
+import sys
+from pathlib import Path
+
+from repo_chores import prune
+from repo_chores.lint import lint
+from repo_chores.sync import synchronize
+from repo_chores.workspace import WorkspaceError, find_workspace_root
+
+
+def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        prog="repo-chores",
+        description="Keeps the boring parts of the Python workspace correct.",
+    )
+    subparsers = parser.add_subparsers(dest="command", required=True)
+
+    sync_parser = subparsers.add_parser(
+        "sync",
+        help="Synchronize workspace membership, version bounds, and turbo wiring",
+    )
+    sync_parser.add_argument(
+        "--check",
+        action="store_true",
+        help="Report deviations without fixing them (exit 1 if any are found)",
+    )
+
+    subparsers.add_parser(
+        "lint",
+        help="Lint dependency requirements: upper bounds and registry-only sources",
+    )
+
+    prune_parser = subparsers.add_parser(
+        "prune",
+        help="Prune the turbo workspace to the packages required for the given scopes",
+    )
+    prune_parser.add_argument(
+        "scope",
+        help="Newline or space-separated list of package scopes to include.",
+    )
+    prune_parser.add_argument(
+        "--dry-run",
+        action="store_true",
+        help="Print what would be done without executing turbo prune or creating stubs.",
+    )
+
+    return parser.parse_args(argv)
+
+
+def run_sync(*, check: bool) -> None:
+    try:
+        root = find_workspace_root(Path.cwd())
+        findings = synchronize(root, apply=not check)
+    except WorkspaceError as error:
+        print(f"error: {error}", file=sys.stderr)
+        raise SystemExit(2) from error
+
+    label = "would fix" if check else "fixed"
+    for finding in findings:
+        prefix = label if finding.fixable else "cannot fix"
+        print(f"{prefix}: {finding.path}: {finding.message}")
+
+    if check and findings:
+        print(
+            f"\n{len(findings)} deviation(s) found."
+            " Run `mise run sync:python` (or `uv run repo-chores sync`) to fix.",
+            file=sys.stderr,
+        )
+        raise SystemExit(1)
+
+    if not check and any(not finding.fixable for finding in findings):
+        raise SystemExit(1)
+
+
+def run_lint() -> None:
+    try:
+        root = find_workspace_root(Path.cwd())
+        findings = lint(root)
+    except WorkspaceError as error:
+        print(f"error: {error}", file=sys.stderr)
+        raise SystemExit(2) from error
+
+    for finding in findings:
+        print(f"{finding.path}: {finding.message}")
+
+    if findings:
+        raise SystemExit(1)
+
+
+def main(argv: list[str] | None = None) -> None:
+    args = parse_args(argv)
+
+    match args.command:
+        case "sync":
+            run_sync(check=args.check)
+        case "lint":
+            run_lint()
+        case "prune":
+            prune.run(args.scope, dry_run=args.dry_run)
+        case _:  # pragma: no cover - argparse enforces the command set
+            raise SystemExit(2)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/libs/@local/repo-chores/python/repo_chores/lint.py b/libs/@local/repo-chores/python/repo_chores/lint.py
new file mode 100644
index 00000000000..3b5ed138d62
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/lint.py
@@ -0,0 +1,179 @@
+"""Lint the workspace's dependency requirements.
+
+Two rules, both judged with :mod:`packaging` semantics and reported as
+findings (lint never edits):
+
+- every version range carries a lower and an upper bound (cargo-style, e.g.
+  `>=1.2.3,<2`): without an upper bound any upstream release can break the
+  build, and without a lower bound resolution may silently downgrade to any
+  historic release. A dependency can be exempted by naming it in the
+  manifest's `[tool.hash]` allowlist; unused allowlist entries are themselves
+  errors, so the list shrinks when exemptions expire.
+- URL requirements are rejected: workspace members are wired through
+  `[tool.uv.sources]`, and everything else resolves from the registry.
+
+The entry point is :func:`lint`.
+"""
+
+from collections.abc import Iterable
+from pathlib import Path
+
+from packaging.requirements import InvalidRequirement, Requirement
+from packaging.utils import canonicalize_name
+
+from repo_chores.workspace import (
+    INSECURE_BOUNDS_ALLOWLIST_KEY,
+    Finding,
+    Workspace,
+    load_workspace,
+)
+
+LOWER_BOUND_OPERATORS = frozenset({">", ">=", "==", "===", "~="})
+"""Specifier operators that impose a lower bound on resolved versions."""
+
+UPPER_BOUND_OPERATORS = frozenset({"<", "<=", "==", "===", "~="})
+"""Specifier operators that impose an upper bound on resolved versions."""
+
+
+def _missing_bounds(requirement: Requirement, /) -> str | None:
+    """Describe the missing bounds of a requirement, or None when fully bounded."""
+    operators = {specifier.operator for specifier in requirement.specifier}
+    has_lower = bool(operators & LOWER_BOUND_OPERATORS)
+    has_upper = bool(operators & UPPER_BOUND_OPERATORS)
+
+    match has_lower, has_upper:
+        case True, True:
+            return None
+        case True, False:
+            return "has no upper bound, so any upstream release can break the build"
+        case False, True:
+            return (
+                "has no lower bound, so resolution may silently downgrade to any historic release"
+            )
+        case _:
+            return "has no version bounds at all"
+
+
+def _lint_requirements(
+    *,
+    path: str,
+    requirements: Iterable[str],
+    allowlist: frozenset[str],
+    workspace_members: frozenset[str],
+) -> tuple[list[Finding], frozenset[str]]:
+    """Judge one manifest's requirement strings.
+
+    Returns the findings together with the allowlist entries that actually
+    exempted something, so the caller can flag the stale remainder.
+    """
+    findings: list[Finding] = []
+    used_exemptions: set[str] = set()
+
+    for text in requirements:
+        try:
+            requirement = Requirement(text)
+        except InvalidRequirement as error:
+            findings.append(
+                Finding(path=path, message=f"invalid requirement: {error}", fixable=False)
+            )
+            continue
+
+        name = canonicalize_name(requirement.name)
+
+        if requirement.url is not None:
+            findings.append(
+                Finding(
+                    path=path,
+                    message=f"`{text}` is a URL requirement; workspace members are wired"
+                    " through [tool.uv.sources], and everything else must resolve from"
+                    " the registry",
+                    fixable=False,
+                )
+            )
+            continue
+
+        if name in workspace_members:
+            continue
+
+        problem = _missing_bounds(requirement)
+        if problem is None:
+            continue
+
+        if name in allowlist:
+            used_exemptions.add(name)
+            continue
+
+        findings.append(
+            Finding(
+                path=path,
+                message=f"`{text}` {problem}; pin a full range (e.g. `>=X.Y.Z,<X+1`),"
+                f' or own the risk by adding "{name}" to'
+                f" `[tool.hash] {INSECURE_BOUNDS_ALLOWLIST_KEY}`",
+                fixable=False,
+            )
+        )
+
+    return findings, frozenset(used_exemptions)
+
+
+def _stale_exemption_findings(
+    *, path: str, allowlist: Iterable[str], used: frozenset[str]
+) -> list[Finding]:
+    return [
+        Finding(
+            path=path,
+            message=f'"{name}" in `[tool.hash] {INSECURE_BOUNDS_ALLOWLIST_KEY}` exempts'
+            " nothing; remove it",
+            fixable=False,
+        )
+        for name in allowlist
+        if canonicalize_name(name) not in used
+    ]
+
+
+def _lint_manifest(
+    *,
+    path: str,
+    requirements: tuple[str, ...],
+    allowlist: tuple[str, ...],
+    workspace_members: frozenset[str],
+) -> list[Finding]:
+    canonical_allowlist = frozenset(canonicalize_name(name) for name in allowlist)
+    findings, used = _lint_requirements(
+        path=path,
+        requirements=requirements,
+        allowlist=canonical_allowlist,
+        workspace_members=workspace_members,
+    )
+    findings.extend(_stale_exemption_findings(path=path, allowlist=allowlist, used=used))
+    return findings
+
+
+def lint_workspace(workspace: Workspace, /) -> list[Finding]:
+    """Judge every manifest's requirements against the dependency rules."""
+    members = frozenset(
+        canonicalize_name(member.name) for member in workspace.members if member.name is not None
+    )
+
+    findings = _lint_manifest(
+        path="pyproject.toml",
+        requirements=workspace.dev_dependencies,
+        allowlist=workspace.insecure_bounds_allowlist,
+        workspace_members=members,
+    )
+    for member in workspace.members:
+        findings.extend(
+            _lint_manifest(
+                path=f"{member.directory}/pyproject.toml",
+                requirements=member.dependencies + member.dev_dependencies,
+                allowlist=member.insecure_bounds_allowlist,
+                workspace_members=members,
+            )
+        )
+
+    return findings
+
+
+def lint(root: Path, /) -> list[Finding]:
+    """Load the workspace at `root` and judge its dependency requirements."""
+    return lint_workspace(load_workspace(root))
diff --git a/.github/actions/prune-repository/prune.py b/libs/@local/repo-chores/python/repo_chores/prune.py
old mode 100644
new mode 100755
similarity index 56%
rename from .github/actions/prune-repository/prune.py
rename to libs/@local/repo-chores/python/repo_chores/prune.py
index e1eca864964..83905603f3a
--- a/.github/actions/prune-repository/prune.py
+++ b/libs/@local/repo-chores/python/repo_chores/prune.py
@@ -1,24 +1,25 @@
 #!/usr/bin/env python3
-"""Prunes the turbo workspace to only the packages required for the given scope(s).
+"""Prune the turbo workspace to the packages required for the given scope(s).
 
-Handles cyclic and extra dependencies that turbo's dependency graph doesn't track.
+Scopes are expanded with dependency rules that turbo's graph leaves out
+(cyclic and test-data crates), and the pruned output stays a valid Cargo and
+uv workspace: members that turbo removed are stubbed back in.
+
+This file runs directly (`python3 prune.py`) before any dependencies are
+installed, so it stays stdlib-only and self-contained. `repo-chores prune`
+exposes the same logic inside the workspace environment.
 """
 
 import argparse
 import json
 import subprocess
+import tomllib
 from collections.abc import Iterable
-from glob import glob
 from pathlib import Path
 
-import tomllib
-
-# ---------------------------------------------------------------------------
-# Extra dependency rules that turbo doesn't track
-# ---------------------------------------------------------------------------
-
-# If any of these packages appear in the dependency closure, add the
-# corresponding extra packages to the scope.
+# Dependency rules that turbo's graph does not track. When any package whose
+# name starts with a key appears in the dependency closure, the listed extra
+# packages join the scope.
 EXTRA_DEPENDENCIES: dict[str, list[str]] = {
     # Cyclic: hashql crates need compiletest
     "@rust/hashql-ast": ["@rust/hashql-compiletest"],
@@ -56,7 +57,6 @@
 
 def turbo_dependency_map() -> dict[str, frozenset[str]]:
     """Query turbo for all packages and return a map of package name to its dependencies."""
-
     result = subprocess.run(
         ["turbo", "query", TURBO_QUERY],
         capture_output=True,
@@ -78,7 +78,6 @@ def expand_scopes(dependencies: Iterable[str]) -> frozenset[str]:
 
     A rule triggers when any dependency name starts with the trigger prefix.
     """
-
     extras: set[str] = set()
 
     for trigger, additions in EXTRA_DEPENDENCIES.items():
@@ -121,34 +120,26 @@ def turbo_prune(scopes: Iterable[str], *, dry_run: bool = False) -> None:
     subprocess.run(args, check=True)
 
 
-def resolve_workspace_members() -> list[Path]:
+def resolve_cargo_members(root: Path) -> list[Path]:
     """Read workspace members from Cargo.toml and resolve globs to Cargo.toml paths."""
-
-    with open("Cargo.toml", "rb") as fh:
+    with (root / "Cargo.toml").open("rb") as fh:
         cargo = tomllib.load(fh)
 
     members: list[str] = cargo["workspace"]["members"]
-    paths: list[Path] = []
-
-    for member in members:
-        for match in glob(f"{member}/Cargo.toml"):
-            paths.append(Path(match))
 
-    return paths
+    return [match for member in members for match in root.glob(f"{member}/Cargo.toml")]
 
 
-def stub_missing_members(*, dry_run: bool = False) -> None:
+def stub_missing_cargo_members(root: Path, out: Path, *, dry_run: bool = False) -> None:
     """Create dummy Cargo.toml stubs for workspace members not included by turbo prune."""
-
-    for cargo_path in resolve_workspace_members():
-        directory = cargo_path.parent
-        out_cargo = Path("out") / directory / "Cargo.toml"
+    for cargo_path in resolve_cargo_members(root):
+        out_cargo = out / cargo_path.relative_to(root)
 
         if out_cargo.exists():
             continue
 
         # Read the package name from the real Cargo.toml
-        with open(cargo_path, "rb") as fh:
+        with cargo_path.open("rb") as fh:
             pkg = tomllib.load(fh)
 
         name = pkg.get("package", {}).get("name")
@@ -160,12 +151,60 @@ def stub_missing_members(*, dry_run: bool = False) -> None:
             continue
 
         # Create the stub
-        out_dir = out_cargo.parent
-        src_dir = out_dir / "src"
+        src_dir = out_cargo.parent / "src"
 
         src_dir.mkdir(parents=True, exist_ok=True)
-        (src_dir / "lib.rs").write_text("\n")
-        out_cargo.write_text(f'[package]\nname = "{name}"\nedition.workspace = true\n')
+        (src_dir / "lib.rs").write_text("\n", encoding="utf-8")
+        stub = f'[package]\nname = "{name}"\nedition.workspace = true\n'
+        out_cargo.write_text(stub, encoding="utf-8")
+
+
+def resolve_uv_members(root: Path) -> list[Path]:
+    """Read workspace member globs from pyproject.toml and resolve to pyproject.toml paths."""
+    pyproject_path = root / "pyproject.toml"
+    if not pyproject_path.exists():
+        return []
+
+    with pyproject_path.open("rb") as fh:
+        pyproject = tomllib.load(fh)
+
+    workspace = pyproject.get("tool", {}).get("uv", {}).get("workspace", {})
+    members: list[str] = workspace.get("members", [])
+    excluded = {match for pattern in workspace.get("exclude", []) for match in root.glob(pattern)}
+
+    return [
+        match
+        for member in members
+        for match in root.glob(f"{member}/pyproject.toml")
+        if match.parent not in excluded
+    ]
+
+
+def stub_missing_uv_members(root: Path, out: Path, *, dry_run: bool = False) -> None:
+    """Copy manifests for uv workspace members that turbo prune left out.
+
+    uv validates the whole workspace graph against uv.lock even with `--frozen`,
+    so every member's pyproject.toml must exist in the pruned output. The
+    manifest alone is enough: members are only installed when requested, so
+    the pruned-away sources are never built.
+    """
+    for member_pyproject in resolve_uv_members(root):
+        out_pyproject = out / member_pyproject.relative_to(root)
+
+        if out_pyproject.exists():
+            continue
+
+        if dry_run:
+            print(f"[dry-run] Would stub: {out_pyproject}")
+            continue
+
+        out_pyproject.parent.mkdir(parents=True, exist_ok=True)
+        out_pyproject.write_bytes(member_pyproject.read_bytes())
+
+
+def parse_scopes(scope: str) -> frozenset[str]:
+    """Split a newline or space-separated scope list into individual scopes."""
+    return frozenset(s.strip() for line in scope.splitlines() for s in line.split() if s.strip())
 
 
 def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
@@ -184,17 +223,23 @@ def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
     return parser.parse_args(argv)
 
 
-def main(argv: list[str] | None = None) -> None:
-    args = parse_args(argv)
-
-    initial = {
-        s.strip() for line in args.scope.splitlines() for s in line.split() if s.strip()
-    }
+def run(scope: str, *, dry_run: bool = False) -> None:
+    """Expand the scopes, run `turbo prune`, and stub pruned-out workspace members."""
+    initial = parse_scopes(scope)
 
     dependencies = turbo_dependency_map()
     scopes = fixpoint_expand(initial, dependencies)
-    turbo_prune(scopes, dry_run=args.dry_run)
-    stub_missing_members(dry_run=args.dry_run)
+    turbo_prune(scopes, dry_run=dry_run)
+
+    root = Path.cwd()
+    out = root / "out"
+    stub_missing_cargo_members(root, out, dry_run=dry_run)
+    stub_missing_uv_members(root, out, dry_run=dry_run)
+
+
+def main(argv: list[str] | None = None) -> None:
+    args = parse_args(argv)
+    run(args.scope, dry_run=args.dry_run)
 
 
 if __name__ == "__main__":
diff --git a/libs/@local/repo-chores/python/repo_chores/sync.py b/libs/@local/repo-chores/python/repo_chores/sync.py
new file mode 100644
index 00000000000..46ad52ba6d3
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/sync.py
@@ -0,0 +1,462 @@
+"""Check and fix the workspace invariants.
+
+Every rule reports deviations as :class:`Finding` records; in apply mode the fixable
+are written back to disk:
+
+- every discovered pyproject.toml is an explicit uv workspace member,
+- every member is reachable through the root package.json yarn workspace globs,
+- every member declares the workspace's exact requires-python bound,
+- every member's dev group carries the shared ruff (and, with tests, pytest) pins,
+- every member has a package.json wiring it into turbo (`@python/<name>`),
+- the root manifest's ruff `src`, pytest `testpaths`, and tach `source_roots`
+  cover every member.
+
+Manifest edits are made in place; comments, ordering, and formatting survive
+every fix. The entry point is :func:`synchronize`.
+"""
+
+import json
+import shutil
+import subprocess
+from collections.abc import Iterable, Mapping
+from dataclasses import dataclass
+from functools import cache
+from pathlib import Path, PurePosixPath
+
+import tomlkit
+from packaging.requirements import InvalidRequirement, Requirement
+from packaging.utils import canonicalize_name
+from tomlkit.items import Array
+
+from repo_chores.toml_edit import (
+    array_to_str,
+    navigate_to_array,
+    navigate_to_table,
+    reconcile_string_array,
+)
+from repo_chores.workspace import (
+    Finding,
+    Member,
+    Workspace,
+    WorkspaceError,
+    load_workspace,
+)
+
+RUFF_FIX_SCRIPT = "uv run --frozen ruff check --fix . && uv run --frozen ruff format ."
+RUFF_LINT_SCRIPT = "uv run --frozen ruff check . && uv run --frozen ruff format --check ."
+PYTEST_SCRIPT = "uv run --frozen pytest tests"
+
+DEFAULT_LICENSE = "AGPL-3"
+NPM_SCOPE = "@python"
+
+
+@dataclass(frozen=True, kw_only=True, slots=True)
+class ManifestExpectation:
+    """A managed string array in the root manifest and its expected contents.
+
+    The expected values are deduplicated and sorted on construction, so every
+    comparison and reconciliation downstream sees the canonical form.
+    """
+
+    table_path: tuple[str, ...]
+    key: str
+    expected: tuple[str, ...]
+    description: str
+
+    def __post_init__(self) -> None:
+        object.__setattr__(self, "expected", tuple(sorted(set(self.expected))))
+
+
+def _write(*, path: Path, content: str, apply: bool) -> None:
+    """Write `content` to `path` in apply mode; check mode leaves disk untouched."""
+    if apply:
+        path.write_text(content, encoding="utf-8")
+
+
+@cache
+def _oxfmt_executable() -> str:
+    """Resolve the oxfmt binary once per run.
+
+    Raises :exc:`WorkspaceError` when oxfmt is not on PATH; `mise install`
+    provisions it.
+    """
+    executable = shutil.which("oxfmt")
+    if executable is None:
+        raise WorkspaceError("oxfmt not found on PATH; run `mise install` to provision it")
+
+    return executable
+
+
+@cache
+def _format_package_json(content: str, /, *, root: Path) -> str:
+    """Format package.json content with the repository formatter.
+
+    oxfmt discovers its configuration from `root`, including package.json
+    key and script sorting, so generated files match `yarn lint:format`
+    byte for byte and the canonical ordering has a single owner. Results
+    are cached: formatting is pure in `content` and the configuration at
+    `root`.
+
+    Raises :exc:`WorkspaceError` when oxfmt rejects the content.
+    """
+    result = subprocess.run(
+        [_oxfmt_executable(), "--stdin-filepath=package.json"],
+        input=content,
+        capture_output=True,
+        text=True,
+        cwd=root,
+        check=False,
+    )
+    if result.returncode != 0:
+        raise WorkspaceError(f"oxfmt failed to format package.json: {result.stderr.strip()}")
+
+    return result.stdout
+
+
+def _pins_by_name(specifiers: Iterable[str], /) -> dict[str, str]:
+    """Index verbatim requirement strings by canonical distribution name.
+
+    Canonicalization follows the PyPA rules, so `Foo.Bar` and `foo-bar` name
+    the same distribution and compare equal.
+
+    Raises :exc:`InvalidRequirement` when a specifier does not parse.
+    """
+    return {canonicalize_name(Requirement(pin).name): pin for pin in specifiers}
+
+
+def _upsert_requirement(dev_group: Array, /, *, tool: str, specifier: str) -> None:
+    """Replace the requirement pinning `tool` in place, or append `specifier`.
+
+    In-place replacement keeps the entry's position and trivia; the pinned
+    tool keeps its spot in the list when only the version spec changes.
+    """
+    # The entries were already parsed when the member's pins were indexed,
+    # so the Requirement construction here cannot fail.
+    for index, existing in enumerate(array_to_str(dev_group)):
+        if existing is not None and canonicalize_name(Requirement(existing).name) == tool:
+            dev_group[index] = specifier
+            return
+
+    if not dev_group:
+        dev_group.multiline(multiline=True)
+    dev_group.append(specifier)
+
+
+def _named_members(workspace: Workspace) -> list[Member]:
+    """Select the members that carry a `[project]` name."""
+    return [member for member in workspace.members if member.name is not None]
+
+
+def _sync_root_manifest(workspace: Workspace, /, *, apply: bool) -> list[Finding]:
+    """Reconcile the managed arrays of the root manifest.
+
+    Managed arrays are the uv workspace members, the ruff src roots, the
+    pytest testpaths, and the tach source roots; each must list exactly the
+    discovered members (or, for testpaths, the members with a tests
+    directory). Arrays containing non-string entries are reported as
+    unfixable and left untouched.
+    """
+    manifest_path = workspace.root / "pyproject.toml"
+    document = tomlkit.parse(manifest_path.read_text(encoding="utf-8"))
+    findings: list[Finding] = []
+
+    member_directories = tuple(member.directory for member in _named_members(workspace))
+    test_directories = tuple(
+        f"{member.directory}/tests" for member in _named_members(workspace) if member.has_tests
+    )
+
+    expectations = (
+        ManifestExpectation(
+            table_path=("tool", "uv", "workspace"),
+            key="members",
+            expected=member_directories,
+            description="workspace members",
+        ),
+        ManifestExpectation(
+            table_path=("tool", "ruff"),
+            key="src",
+            expected=member_directories,
+            description="ruff src roots",
+        ),
+        ManifestExpectation(
+            table_path=("tool", "pytest", "ini_options"),
+            key="testpaths",
+            expected=tuple(test_directories),
+            description="pytest testpaths",
+        ),
+        ManifestExpectation(
+            table_path=("tool", "tach"),
+            key="source_roots",
+            expected=member_directories,
+            description="tach source roots",
+        ),
+    )
+
+    for expectation in expectations:
+        table = navigate_to_table(document, path=expectation.table_path)
+        current = navigate_to_array(table, path=(expectation.key,))
+        current_items = list(array_to_str(current))
+
+        if any(item is None for item in current_items):
+            findings.append(
+                Finding(
+                    path="pyproject.toml",
+                    message=f"{expectation.description} must only contain strings",
+                    fixable=False,
+                )
+            )
+            continue
+
+        if tuple(current_items) == expectation.expected:
+            continue
+
+        findings.append(
+            Finding(
+                path="pyproject.toml",
+                message=f"{expectation.description} must list every member:"
+                f" {', '.join(expectation.expected)}",
+            )
+        )
+        reconcile_string_array(current, expected=expectation.expected)
+
+    if findings:
+        _write(path=manifest_path, content=tomlkit.dumps(document), apply=apply)
+
+    return findings
+
+
+def _sync_root_package_json(workspace: Workspace, /, *, apply: bool) -> list[Finding]:
+    """Ensure every member is reachable through the yarn workspace globs.
+
+    turbo discovers packages through the root package.json workspaces list;
+    a member outside every glob is invisible to it. Coverage is judged with
+    path-aware glob semantics (`*` stays within one segment, `**` recurses),
+    matching how yarn reads the patterns. Missing members are added as
+    explicit entries and the list is kept sorted.
+    """
+    package_json_path = workspace.root / "package.json"
+    data = json.loads(package_json_path.read_text(encoding="utf-8"))
+
+    patterns = [
+        pattern
+        for pattern in data.get("workspaces", {}).get("packages", [])
+        if isinstance(pattern, str) and not pattern.startswith("!")
+    ]
+
+    findings: list[Finding] = []
+    for member in _named_members(workspace):
+        directory = PurePosixPath(member.directory)
+        if any(directory.full_match(pattern) for pattern in patterns):
+            continue
+
+        findings.append(
+            Finding(
+                path="package.json",
+                message=(
+                    f"{member.directory} is not covered by workspaces.packages; turbo cannot see it"
+                ),
+            )
+        )
+
+        data["workspaces"]["packages"] = sorted({*data["workspaces"]["packages"], member.directory})
+
+    if findings:
+        content = _format_package_json(json.dumps(data), root=workspace.root)
+        _write(path=package_json_path, content=content, apply=apply)
+
+    return findings
+
+
+def _unnamed_member_findings(workspace: Workspace) -> list[Finding]:
+    """Report manifests that lack a `[project]` name.
+
+    uv rejects nameless workspace members, so these manifests stay out of
+    the managed arrays and surface as unfixable findings.
+    """
+    return [
+        Finding(
+            path=f"{member.directory}/pyproject.toml",
+            message=(
+                "manifest has no [project] name; every pyproject.toml must be a"
+                " workspace member (move tool-only configuration into the root manifest)"
+            ),
+            fixable=False,
+        )
+        for member in workspace.members
+        if member.name is None
+    ]
+
+
+def _sync_member_dev_group(
+    workspace: Workspace,
+    member: Member,
+    /,
+    *,
+    document: tomlkit.TOMLDocument,
+) -> list[Finding]:
+    """Align a member's dev group with the workspace tool pins.
+
+    Every member needs ruff (its lint scripts run `uv run --frozen ruff` from
+    the member directory), and members with tests need pytest. Each pin must
+    match the root dev group's specifier exactly, so the shared lockfile
+    resolves one version per tool.
+    """
+    try:
+        root_specifiers = _pins_by_name(workspace.dev_dependencies)
+    except InvalidRequirement as error:
+        return [
+            Finding(
+                path="pyproject.toml", message=f"invalid dev requirement: {error}", fixable=False
+            )
+        ]
+    try:
+        member_specifiers = _pins_by_name(member.dev_dependencies)
+    except InvalidRequirement as error:
+        return [
+            Finding(
+                path=f"{member.directory}/pyproject.toml",
+                message=f"invalid dev requirement: {error}",
+                fixable=False,
+            )
+        ]
+
+    required_tools = ["ruff", *(["pytest"] if member.has_tests else [])]
+
+    findings: list[Finding] = []
+    for tool in required_tools:
+        root_specifier = root_specifiers.get(tool)
+        if root_specifier is None:
+            findings.append(
+                Finding(
+                    path="pyproject.toml",
+                    message=f"the root dev group does not pin {tool}, so members cannot inherit it",
+                    fixable=False,
+                )
+            )
+            continue
+
+        if member_specifiers.get(tool) == root_specifier:
+            continue
+
+        findings.append(
+            Finding(
+                path=f"{member.directory}/pyproject.toml",
+                message=f'dev group must pin "{root_specifier}" (matching the workspace root)',
+            )
+        )
+        dev_group = navigate_to_array(document, path=("dependency-groups", "dev"))
+        _upsert_requirement(dev_group, tool=tool, specifier=root_specifier)
+
+    return findings
+
+
+def _sync_member_manifest(workspace: Workspace, member: Member, /, *, apply: bool) -> list[Finding]:
+    """Align a member manifest with the workspace: requires-python and tool pins."""
+    manifest_path = workspace.root / member.directory / "pyproject.toml"
+    document = tomlkit.parse(manifest_path.read_text(encoding="utf-8"))
+    findings: list[Finding] = []
+
+    if member.requires_python != workspace.requires_python:
+        findings.append(
+            Finding(
+                path=f"{member.directory}/pyproject.toml",
+                message=f'requires-python must be "{workspace.requires_python}"'
+                f" (found {member.requires_python!r})",
+            )
+        )
+
+        table = navigate_to_table(document, path=("project",))
+        table["requires-python"] = workspace.requires_python
+
+    findings.extend(_sync_member_dev_group(workspace, member, document=document))
+
+    if findings:
+        _write(path=manifest_path, content=tomlkit.dumps(document), apply=apply)
+
+    return findings
+
+
+def assemble_package_json(
+    member: Member, existing: Mapping[str, object] | None, /
+) -> dict[str, object]:
+    """Assemble the package.json contents wiring a member into turbo.
+
+    Managed keys (name, version, private, the ruff and pytest scripts, and
+    the dependencies mirroring the member's workspace dependencies) are
+    overwritten; everything else in `existing`, including hand-written
+    scripts, is preserved. Key and script ordering is left to the repository
+    formatter, which owns the canonical package.json layout.
+    """
+    data: dict[str, object] = dict(existing or {})
+    scripts = data.get("scripts")
+    scripts = dict(scripts) if isinstance(scripts, dict) else {}
+
+    scripts["fix:ruff"] = RUFF_FIX_SCRIPT
+    scripts["lint:ruff"] = RUFF_LINT_SCRIPT
+    if member.has_tests:
+        scripts["test:unit"] = PYTEST_SCRIPT
+    elif scripts.get("test:unit") == PYTEST_SCRIPT:
+        # Managed script only; hand-written test:unit entries survive.
+        del scripts["test:unit"]
+
+    data["name"] = f"{NPM_SCOPE}/{member.name}"
+    data["version"] = "0.0.0-private"
+    data["private"] = True
+    data.setdefault("license", DEFAULT_LICENSE)
+    data["scripts"] = scripts
+
+    dependencies = {
+        f"{NPM_SCOPE}/{dependency}": "workspace:*" for dependency in member.workspace_dependencies
+    }
+    if dependencies:
+        data["dependencies"] = dependencies
+    else:
+        data.pop("dependencies", None)
+
+    return data
+
+
+def _sync_member_package_json(
+    workspace: Workspace, member: Member, /, *, apply: bool
+) -> list[Finding]:
+    """Ensure a member's package.json matches the formatted assembly byte for byte."""
+    package_json_path = workspace.root / member.directory / "package.json"
+    original = (
+        package_json_path.read_text(encoding="utf-8") if package_json_path.is_file() else None
+    )
+    existing = json.loads(original) if original is not None else None
+
+    assembled = assemble_package_json(member, existing)
+    expected = _format_package_json(json.dumps(assembled), root=workspace.root)
+    if original == expected:
+        return []
+
+    _write(path=package_json_path, content=expected, apply=apply)
+    return [
+        Finding(
+            path=f"{member.directory}/package.json",
+            message="turbo wiring is missing or out of date"
+            f" (managed by `repo-chores sync`, name {NPM_SCOPE}/{member.name})",
+        )
+    ]
+
+
+def synchronize(root: Path, /, *, apply: bool) -> list[Finding]:
+    """Check every workspace invariant, fixing fixable deviations when `apply` is set.
+
+    Check mode never writes; apply mode writes each corrected file once. The
+    returned findings describe every deviation that was found, fixed or not.
+    """
+    workspace = load_workspace(root)
+
+    findings = [
+        *_sync_root_manifest(workspace, apply=apply),
+        *_sync_root_package_json(workspace, apply=apply),
+        *_unnamed_member_findings(workspace),
+    ]
+
+    for member in _named_members(workspace):
+        findings.extend(_sync_member_manifest(workspace, member, apply=apply))
+        findings.extend(_sync_member_package_json(workspace, member, apply=apply))
+
+    return findings
diff --git a/libs/@local/repo-chores/python/repo_chores/tach.domain.toml b/libs/@local/repo-chores/python/repo_chores/tach.domain.toml
new file mode 100644
index 00000000000..4fceb8d6b7d
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/tach.domain.toml
@@ -0,0 +1,33 @@
+# repo-chores layering: the workspace model (domain) feeds the TOML editing
+# helpers (capability) and the sync engine (orchestration), which the CLI
+# (application) drives. The package root stays empty.
+
+[root]
+layer = "domain"
+
+[[modules]]
+layer = "domain"
+path  = "workspace"
+
+[[modules]]
+layer = "capability"
+path  = "toml_edit"
+
+[[modules]]
+layer = "orchestration"
+path  = "sync"
+
+[[modules]]
+layer = "orchestration"
+path  = "lint"
+
+# prune runs before anything is installed: the bootstrap layer forbids every
+# internal import, and the empty external list forbids third-party ones.
+[[modules]]
+depends_on_external = []
+layer               = "bootstrap"
+path                = "prune"
+
+[[modules]]
+layer = "application"
+path  = "cli"
diff --git a/libs/@local/repo-chores/python/repo_chores/toml_edit.py b/libs/@local/repo-chores/python/repo_chores/toml_edit.py
new file mode 100644
index 00000000000..4869c3bbb92
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/toml_edit.py
@@ -0,0 +1,107 @@
+"""In-place editing of parsed TOML documents.
+
+:func:`navigate_to_table` and :func:`navigate_to_array` descend to a node along a
+key path, creating missing levels and validating the shape of what they
+find. :func:`reconcile_string_array` rewrites a managed array to an expected
+value set, and :func:`array_to_str` exposes array elements for string-only
+processing.
+
+Edits are local: everything an edit leaves alone keeps its comments,
+ordering, and formatting, so a manifest survives a parse-adjust-dump
+round-trip faithfully.
+"""
+
+from collections.abc import Generator, Iterable, MutableMapping, Sequence
+from typing import TypeIs
+
+import tomlkit
+from tomlkit.items import Array, String
+
+from repo_chores.workspace import WorkspaceError
+
+type TomlTable = MutableMapping[str, object]
+"""A live table node inside a parsed tomlkit document."""
+
+
+def is_table(value: object, /) -> TypeIs[TomlTable]:
+    """Narrow a tomlkit node to a live table.
+
+    Indexing a parsed document yields :class:`Table` nodes, or
+    :class:`OutOfOrderTableProxy` nodes for a super-table whose subtables are
+    split across the file. Both are mutable mappings with string keys, and
+    both preserve trivia through mutation, so the narrowed type accepts
+    either.
+    """
+    return isinstance(value, MutableMapping)
+
+
+def navigate_to_table(table: TomlTable, /, *, path: Iterable[str]) -> TomlTable:
+    """Descend to (creating, if necessary) the table at `path`.
+
+    Raises :exc:`WorkspaceError` when a key on the way holds a non-table value.
+    """
+    for key in path:
+        if key not in table:
+            table[key] = tomlkit.table()
+
+        value = table[key]
+        if not is_table(value):
+            raise WorkspaceError(f"expected a table at [{key}], found {type(value).__name__}")
+
+        table = value
+
+    return table
+
+
+def navigate_to_array(table: TomlTable, /, *, path: Sequence[str]) -> Array:
+    """Descend to (creating, if necessary) the array at `path`.
+
+    Raises :exc:`WorkspaceError` when the final key holds a non-array value.
+    """
+    [*prefix, key] = path
+    table = navigate_to_table(table, path=prefix)
+    if key not in table:
+        table[key] = tomlkit.array()
+
+    value = table[key]
+    if not isinstance(value, Array):
+        raise WorkspaceError(f"expected an array at `{key}`, found {type(value).__name__}")
+
+    return value
+
+
+def array_to_str(array: Array, /) -> Generator[str | None]:
+    """Yield each array element as a string, or None for elements of other types."""
+    for item in array:
+        yield item if isinstance(item, String) else None
+
+
+def insert_sorted(array: Array, value: str, /) -> None:
+    """Insert `value` before the first larger element, keeping a sorted array sorted."""
+    for index, item in enumerate(array):
+        if item > value:
+            array.insert(index, value)
+            return
+
+    array.append(value)
+
+
+def reconcile_string_array(array: Array, /, *, expected: Sequence[str]) -> None:
+    """Mutate a strings-only array to exactly the sorted `expected` values.
+
+    Stale and duplicate entries are removed, missing ones inserted in sorted
+    position. Surviving entries are untouched, so their comments and
+    formatting are preserved.
+    """
+    remaining = set(expected)
+    for index in reversed(range(len(array))):
+        item = array[index]
+        if item in remaining:
+            remaining.discard(item)
+        else:
+            del array[index]
+
+    if not array:
+        array.multiline(multiline=True)
+    for value in remaining:
+        insert_sorted(array, value)
diff --git a/libs/@local/repo-chores/python/repo_chores/workspace.py b/libs/@local/repo-chores/python/repo_chores/workspace.py
new file mode 100644
index 00000000000..c83fe3fde1e
--- /dev/null
+++ b/libs/@local/repo-chores/python/repo_chores/workspace.py
@@ -0,0 +1,225 @@
+"""Discovery and shared model of the Python workspace.
+
+The workspace is rooted at the pyproject.toml declaring `[tool.uv.workspace]`.
+:func:`load_workspace` parses that manifest, discovers every member manifest in
+the repository, and returns an immutable :class:`Workspace` snapshot.
+
+tomllib parses into untyped dictionaries; every value crossing this module's
+boundary is narrowed to a checked type.
+"""
+
+import tomllib
+from collections.abc import Mapping
+from dataclasses import dataclass
+from pathlib import Path
+from typing import TypeIs
+
+PRUNED_DIRECTORIES = frozenset({
+    ".git",
+    ".ruff_cache",
+    ".turbo",
+    ".venv",
+    "__pycache__",
+    "build",
+    "dist",
+    "node_modules",
+    "out",
+    "target",
+    "venv",
+})
+"""Directory names that never contain workspace members and are skipped during discovery."""
+
+
+class WorkspaceError(RuntimeError):
+    """Raised when the workspace or one of its manifests cannot be interpreted."""
+
+
+INSECURE_BOUNDS_ALLOWLIST_KEY = (
+    "allow_insecure_unbounded_dependency_ranges_that_i_will_personally_fix_when_they_break"
+)
+"""The `[tool.hash]` key exempting named dependencies from the upper-bound lint.
+
+The name is deliberately painful: an unbounded range is a standing invitation
+for an upstream release to break the build, so opting out should read like
+the commitment it is."""
+
+
+@dataclass(frozen=True, kw_only=True, slots=True)
+class Finding:
+    """A single deviation from the expected workspace state.
+
+    A fixable finding can be corrected automatically in apply mode; an
+    unfixable finding requires a manual edit and fails the run either way.
+    """
+
+    path: str
+    message: str
+    fixable: bool = True
+
+
+@dataclass(frozen=True, kw_only=True, slots=True)
+class Member:
+    """A Python package manifest discovered in the repository."""
+
+    directory: str
+    """Posix path of the package directory, relative to the workspace root."""
+
+    name: str | None
+    """The distribution name, or None when the manifest has no `[project]` name."""
+
+    requires_python: str | None
+    dependencies: tuple[str, ...]
+    dev_dependencies: tuple[str, ...]
+    workspace_dependencies: tuple[str, ...]
+    insecure_bounds_allowlist: tuple[str, ...]
+    has_tests: bool
+
+
+@dataclass(frozen=True, kw_only=True, slots=True)
+class Workspace:
+    """The workspace root manifest together with every discovered member."""
+
+    root: Path
+    requires_python: str
+    declared_members: tuple[str, ...]
+    dev_dependencies: tuple[str, ...]
+    insecure_bounds_allowlist: tuple[str, ...]
+    members: tuple[Member, ...]
+
+
+def _load_toml(path: Path, /) -> Mapping[str, object]:
+    """Parse a TOML file, wrapping parse failures in :exc:`WorkspaceError`."""
+    try:
+        return tomllib.loads(path.read_text(encoding="utf-8"))
+    except tomllib.TOMLDecodeError as error:
+        raise WorkspaceError(f"{path} is not valid TOML: {error}") from error
+
+
+def _is_table(value: object, /) -> TypeIs[Mapping[str, object]]:
+    """Narrow a parsed TOML value to a table.
+
+    TOML keys are always strings, so a Mapping instance check is sufficient
+    to justify the declared key type.
+    """
+    return isinstance(value, Mapping)
+
+
+def _table_at(table: Mapping[str, object], /, *path: str) -> Mapping[str, object]:
+    """Descend through nested tables, returning an empty mapping where absent."""
+    for key in path:
+        value = table.get(key)
+        if not _is_table(value):
+            return {}
+        table = value
+
+    return table
+
+
+def _str_at(table: Mapping[str, object], key: str, /) -> str | None:
+    """Read a string value, returning None when absent or of another type."""
+    value = table.get(key)
+    return value if isinstance(value, str) else None
+
+
+def _str_entries(table: Mapping[str, object], key: str, /) -> tuple[str, ...]:
+    """Collect the string entries of a list value, skipping entries of other types."""
+    value = table.get(key)
+    if not isinstance(value, list):
+        return ()
+
+    return tuple(entry for entry in value if isinstance(entry, str))
+
+
+def _dev_dependencies(manifest: Mapping[str, object], /) -> tuple[str, ...]:
+    """Read the dev dependency group of a manifest."""
+    return _str_entries(_table_at(manifest, "dependency-groups"), "dev")
+
+
+def _insecure_bounds_allowlist(manifest: Mapping[str, object], /) -> tuple[str, ...]:
+    """Read the manifest's upper-bound lint exemptions."""
+    return _str_entries(_table_at(manifest, "tool", "hash"), INSECURE_BOUNDS_ALLOWLIST_KEY)
+
+
+def find_workspace_root(start: Path, /) -> Path:
+    """Walk upwards from `start` to the manifest declaring the uv workspace.
+
+    Raises :exc:`WorkspaceError` when no ancestor declares `[tool.uv.workspace]`.
+    """
+    for directory in (start, *start.parents):
+        manifest_path = directory / "pyproject.toml"
+        if not manifest_path.is_file():
+            continue
+
+        if "workspace" in _table_at(_load_toml(manifest_path), "tool", "uv"):
+            return directory
+
+    raise WorkspaceError(f"no pyproject.toml with a [tool.uv.workspace] above {start}")
+
+
+def find_member_manifests(root: Path, /) -> list[Path]:
+    """Find every pyproject.toml under `root` except the workspace root's own.
+
+    Traversal skips :data:`PRUNED_DIRECTORIES` and returns paths in sorted order,
+    so discovery is deterministic across runs and platforms.
+    """
+    manifests: list[Path] = []
+    for directory, directory_names, file_names in root.walk():
+        directory_names[:] = sorted(set(directory_names) - PRUNED_DIRECTORIES)
+        if directory != root and "pyproject.toml" in file_names:
+            manifests.append(directory / "pyproject.toml")
+
+    return sorted(manifests)
+
+
+def load_member(root: Path, manifest_path: Path, /) -> Member:
+    """Parse a member manifest into a :class:`Member`.
+
+    Workspace dependencies are the `[tool.uv.sources]` entries marked
+    `workspace = true`.
+    """
+    manifest = _load_toml(manifest_path)
+    project = _table_at(manifest, "project")
+
+    workspace_dependencies = tuple(
+        sorted(
+            dependency
+            for dependency, source in _table_at(manifest, "tool", "uv", "sources").items()
+            if _is_table(source) and source.get("workspace") is True
+        )
+    )
+
+    return Member(
+        directory=manifest_path.parent.relative_to(root).as_posix(),
+        name=_str_at(project, "name"),
+        requires_python=_str_at(project, "requires-python"),
+        dependencies=_str_entries(project, "dependencies"),
+        dev_dependencies=_dev_dependencies(manifest),
+        workspace_dependencies=workspace_dependencies,
+        insecure_bounds_allowlist=_insecure_bounds_allowlist(manifest),
+        has_tests=(manifest_path.parent / "tests").is_dir(),
+    )
+
+
+def load_workspace(root: Path, /) -> Workspace:
+    """Parse the root manifest and discover every member in the repository.
+
+    Raises :exc:`WorkspaceError` when the root manifest declares no
+    requires-python bound; that bound is the single source of truth for the
+    workspace's Python version.
+    """
+    manifest = _load_toml(root / "pyproject.toml")
+
+    requires_python = _str_at(_table_at(manifest, "project"), "requires-python")
+    if requires_python is None:
+        raise WorkspaceError(f"{root / 'pyproject.toml'} does not declare requires-python")
+
+    return Workspace(
+        root=root,
+        requires_python=requires_python,
+        declared_members=_str_entries(_table_at(manifest, "tool", "uv", "workspace"), "members"),
+        dev_dependencies=_dev_dependencies(manifest),
+        insecure_bounds_allowlist=_insecure_bounds_allowlist(manifest),
+        members=tuple(
+            load_member(root, manifest_path) for manifest_path in find_member_manifests(root)
+        ),
+    )
diff --git a/libs/@local/repo-chores/python/tests/conftest.py b/libs/@local/repo-chores/python/tests/conftest.py
new file mode 100644
index 00000000000..4046f496b08
--- /dev/null
+++ b/libs/@local/repo-chores/python/tests/conftest.py
@@ -0,0 +1,134 @@
+"""Shared fixture: a miniature repository exercising every sync rule."""
+
+import json
+from pathlib import Path
+
+import pytest
+
+REQUIRES_PYTHON = ">=3.14,<3.15"
+
+ROOT_PYPROJECT = f"""\
+[project]
+name = "fixture-root"
+version = "0.0.0"
+requires-python = "{REQUIRES_PYTHON}"
+
+[tool.uv]
+package = false
+
+[tool.uv.workspace]
+members = [
+    "packages/alpha",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=8.0",
+    "ruff>=0.15.21",
+    "tach>=0.35,<0.36",
+]
+
+[tool.ruff]
+src = []
+
+[tool.pytest.ini_options]
+testpaths = []
+
+[tool.tach]
+source_roots = []
+"""
+
+ALPHA_PYPROJECT = """\
+[project]
+name = "alpha"
+version = "0.1.0"
+requires-python = ">=3.13"
+
+[dependency-groups]
+dev = [
+    "pytest>=7.0",
+]
+"""
+
+BETA_PYPROJECT = """\
+[project]
+name = "beta"
+version = "0.1.0"
+requires-python = ">=3.14,<3.15"
+dependencies = [
+    "alpha",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=8.0",
+    "ruff>=0.15.21",
+]
+
+[tool.uv.sources]
+alpha = { workspace = true }
+"""
+
+GAMMA_PYPROJECT = """\
+[project]
+name = "gamma"
+version = "0.1.0"
+requires-python = ">=3.14,<3.15"
+
+[dependency-groups]
+dev = [
+    "ruff>=0.15.21",
+]
+"""
+
+TOOL_ONLY_PYPROJECT = """\
+[tool.some-linter]
+option = true
+"""
+
+
+@pytest.fixture
+def fixture_repo(tmp_path: Path) -> Path:
+    """Build a repository with one compliant member and one deviation per sync rule."""
+    (tmp_path / "pyproject.toml").write_text(ROOT_PYPROJECT)
+    (tmp_path / "package.json").write_text(
+        json.dumps(
+            {
+                "name": "fixture-root",
+                "private": True,
+                "workspaces": {"packages": ["!**/node_modules", "packages/**"]},
+            },
+            indent=2,
+        )
+        + "\n"
+    )
+
+    # alpha: declared member, but wrong requires-python, stale dev pin, no package.json.
+    alpha = tmp_path / "packages" / "alpha"
+    (alpha / "tests").mkdir(parents=True)
+    (alpha / "pyproject.toml").write_text(ALPHA_PYPROJECT)
+
+    # beta: undeclared member with a workspace dependency and stale turbo wiring.
+    beta = tmp_path / "packages" / "beta"
+    beta.mkdir(parents=True)
+    (beta / "pyproject.toml").write_text(BETA_PYPROJECT)
+    (beta / "package.json").write_text(
+        json.dumps({"name": "@python/wrong-name", "version": "0.0.0-private"}, indent=2) + "\n"
+    )
+
+    # gamma: compliant manifest outside the yarn workspace globs.
+    gamma = tmp_path / "outside" / "lib"
+    gamma.mkdir(parents=True)
+    (gamma / "pyproject.toml").write_text(GAMMA_PYPROJECT)
+
+    # A tool-configuration-only manifest: unfixable finding.
+    tool_only = tmp_path / "packages" / "toolcfg"
+    tool_only.mkdir(parents=True)
+    (tool_only / "pyproject.toml").write_text(TOOL_ONLY_PYPROJECT)
+
+    # Manifests under pruned directories must be invisible.
+    hidden = tmp_path / "node_modules" / "dep"
+    hidden.mkdir(parents=True)
+    (hidden / "pyproject.toml").write_text('[project]\nname = "hidden"\n')
+
+    return tmp_path
diff --git a/libs/@local/repo-chores/python/tests/test_lint.py b/libs/@local/repo-chores/python/tests/test_lint.py
new file mode 100644
index 00000000000..064060cb12e
--- /dev/null
+++ b/libs/@local/repo-chores/python/tests/test_lint.py
@@ -0,0 +1,164 @@
+"""Tests for the dependency requirement lint."""
+
+from pathlib import Path
+
+from repo_chores.lint import lint_workspace
+from repo_chores.workspace import Member, Workspace
+
+
+def make_workspace(
+    *,
+    dev_dependencies: tuple[str, ...] = (),
+    allowlist: tuple[str, ...] = (),
+    members: tuple[Member, ...] = (),
+) -> Workspace:
+    return Workspace(
+        root=Path(),
+        requires_python=">=3.14,<3.15",
+        declared_members=tuple(member.directory for member in members),
+        dev_dependencies=dev_dependencies,
+        insecure_bounds_allowlist=allowlist,
+        members=members,
+    )
+
+
+def make_member(
+    *,
+    name: str = "alpha",
+    dependencies: tuple[str, ...] = (),
+    dev_dependencies: tuple[str, ...] = (),
+    allowlist: tuple[str, ...] = (),
+) -> Member:
+    return Member(
+        directory=f"packages/{name}",
+        name=name,
+        requires_python=">=3.14,<3.15",
+        dependencies=dependencies,
+        dev_dependencies=dev_dependencies,
+        workspace_dependencies=(),
+        insecure_bounds_allowlist=allowlist,
+        has_tests=False,
+    )
+
+
+# Upper and lower bounds
+
+
+def test_bounded_ranges_pass() -> None:
+    workspace = make_workspace(
+        dev_dependencies=(
+            "ruff>=0.15.21,<0.16",
+            "tach~=0.35.0",
+            "exact==1.2.3",
+            "arbitrary===1.2.3",
+        )
+    )
+
+    assert lint_workspace(workspace) == []
+
+
+def test_missing_upper_bound_fails() -> None:
+    findings = lint_workspace(make_workspace(dev_dependencies=("ruff>=0.15.21",)))
+
+    assert len(findings) == 1
+    assert "no upper bound" in findings[0].message
+    assert not findings[0].fixable
+
+
+def test_missing_lower_bound_fails() -> None:
+    # `<2` alone lets resolution reach arbitrarily far down.
+    findings = lint_workspace(make_workspace(dev_dependencies=("ruff<2",)))
+
+    assert len(findings) == 1
+    assert "no lower bound" in findings[0].message
+
+
+def test_bare_requirement_fails() -> None:
+    findings = lint_workspace(make_workspace(dev_dependencies=("pytest",)))
+
+    assert len(findings) == 1
+    assert "no version bounds at all" in findings[0].message
+
+
+def test_exclusion_alone_is_not_a_bound() -> None:
+    findings = lint_workspace(make_workspace(dev_dependencies=("ruff!=0.15.20",)))
+
+    assert len(findings) == 1
+    assert "no version bounds at all" in findings[0].message
+
+
+def test_workspace_members_are_exempt() -> None:
+    member = make_member(name="hash-repo-chores")
+    workspace = make_workspace(dev_dependencies=("hash-repo-chores",), members=(member,))
+
+    assert lint_workspace(workspace) == []
+
+
+def test_member_manifests_are_judged_too() -> None:
+    member = make_member(dependencies=("requests>=2",), dev_dependencies=("pytest",))
+    workspace = make_workspace(members=(member,))
+
+    findings = lint_workspace(workspace)
+
+    assert len(findings) == 2
+    assert all(finding.path == "packages/alpha/pyproject.toml" for finding in findings)
+
+
+# Allowlist
+
+
+def test_allowlisted_dependency_is_exempt() -> None:
+    workspace = make_workspace(dev_dependencies=("ruff>=0.15.21",), allowlist=("ruff",))
+
+    assert lint_workspace(workspace) == []
+
+
+def test_allowlist_names_are_canonicalized() -> None:
+    member = make_member(dependencies=("legacy.pkg>=1",), allowlist=("Legacy-Pkg",))
+    workspace = make_workspace(members=(member,))
+
+    assert lint_workspace(workspace) == []
+
+
+def test_stale_allowlist_entry_fails() -> None:
+    workspace = make_workspace(dev_dependencies=("ruff>=0.15.21,<0.16",), allowlist=("ruff",))
+
+    findings = lint_workspace(workspace)
+
+    assert len(findings) == 1
+    assert "exempts nothing" in findings[0].message
+
+
+def test_allowlist_is_scoped_to_its_manifest() -> None:
+    # The root allowlist does not cover a member's dependencies.
+    member = make_member(dependencies=("requests>=2",))
+    workspace = make_workspace(members=(member,), allowlist=("requests",))
+
+    findings = lint_workspace(workspace)
+
+    messages = [finding.message for finding in findings]
+    assert any("no upper bound" in message for message in messages)
+    assert any("exempts nothing" in message for message in messages)
+
+
+# URL and invalid requirements
+
+
+def test_url_requirements_fail_even_when_allowlisted() -> None:
+    workspace = make_workspace(
+        dev_dependencies=("weird @ https://example.com/weird-1.0.tar.gz",),
+        allowlist=("weird",),
+    )
+
+    findings = lint_workspace(workspace)
+
+    assert any("URL requirement" in finding.message for finding in findings)
+
+
+def test_invalid_requirement_is_reported() -> None:
+    workspace = make_workspace(dev_dependencies=(">=1.0",))
+
+    findings = lint_workspace(workspace)
+
+    assert len(findings) == 1
+    assert "invalid requirement" in findings[0].message
diff --git a/libs/@local/repo-chores/python/tests/test_prune.py b/libs/@local/repo-chores/python/tests/test_prune.py
new file mode 100644
index 00000000000..80eecbe6469
--- /dev/null
+++ b/libs/@local/repo-chores/python/tests/test_prune.py
@@ -0,0 +1,191 @@
+"""Tests for the turbo workspace prune module."""
+
+from pathlib import Path
+
+from repo_chores import prune
+
+
+def test_parse_scopes_splits_on_spaces_and_newlines() -> None:
+    assert prune.parse_scopes("@apps/a @apps/b\n@apps/c") == frozenset({
+        "@apps/a",
+        "@apps/b",
+        "@apps/c",
+    })
+
+
+def test_parse_scopes_ignores_blank_lines_and_extra_whitespace() -> None:
+    assert prune.parse_scopes("\n  @apps/a  \n\n\t@apps/b\n") == frozenset({
+        "@apps/a",
+        "@apps/b",
+    })
+
+
+def test_expand_scopes_no_rule_matches() -> None:
+    assert prune.expand_scopes({"@apps/hash-frontend"}) == frozenset()
+
+
+def test_expand_scopes_prefix_trigger() -> None:
+    # Rules trigger on name prefixes: a child crate pulls in the whole family.
+    assert "@rust/darwin-kperf-codegen" in prune.expand_scopes({"@rust/darwin-kperf-sys"})
+
+
+def test_fixpoint_expands_rules_triggered_by_dependencies() -> None:
+    dependencies = {"@apps/hash-graph": frozenset({"@rust/hashql-ast"})}
+    scopes = prune.fixpoint_expand({"@apps/hash-graph"}, dependencies)
+    assert scopes == frozenset({"@apps/hash-graph", "@rust/hashql-compiletest"})
+
+
+def test_expansion_reaches_fixpoint_through_added_scopes() -> None:
+    # The scope added by the first rule has dependencies that trigger another rule.
+    dependencies = {
+        "@rust/hashql-compiletest": frozenset({"@rust/hash-graph-types"}),
+    }
+    scopes = prune.fixpoint_expand({"@rust/hashql-ast"}, dependencies)
+    assert scopes == frozenset({
+        "@rust/hashql-ast",
+        "@rust/hashql-compiletest",
+        "@rust/hash-graph-test-data",
+    })
+
+
+def test_fixpoint_expand_terminates_on_cycles() -> None:
+    dependencies = {
+        "@apps/a": frozenset({"@apps/b"}),
+        "@apps/b": frozenset({"@apps/a"}),
+    }
+    scopes = prune.fixpoint_expand({"@apps/a"}, dependencies)
+    assert scopes == frozenset({"@apps/a"})
+
+
+def test_resolves_cargo_globs_and_literal_members(tmp_path: Path) -> None:
+    (tmp_path / "Cargo.toml").write_text('[workspace]\nmembers = ["crates/*", "standalone"]\n')
+    for member in ("crates/a", "crates/b", "standalone"):
+        (tmp_path / member).mkdir(parents=True)
+        (tmp_path / member / "Cargo.toml").write_text(
+            f'[package]\nname = "{member.replace("/", "-")}"\n'
+        )
+    # A directory matching the glob but without a manifest is not a member.
+    (tmp_path / "crates" / "not-a-crate").mkdir()
+
+    members = prune.resolve_cargo_members(tmp_path)
+
+    assert sorted(path.relative_to(tmp_path).as_posix() for path in members) == [
+        "crates/a/Cargo.toml",
+        "crates/b/Cargo.toml",
+        "standalone/Cargo.toml",
+    ]
+
+
+def _make_cargo_workspace(root: Path) -> None:
+    (root / "Cargo.toml").write_text('[workspace]\nmembers = ["crates/*"]\n')
+    for name in ("kept", "pruned"):
+        (root / "crates" / name).mkdir(parents=True)
+        (root / "crates" / name / "Cargo.toml").write_text(f'[package]\nname = "{name}"\n')
+
+
+def test_stubs_only_missing_cargo_members(tmp_path: Path) -> None:
+    _make_cargo_workspace(tmp_path)
+    out = tmp_path / "out"
+    kept_manifest = out / "crates" / "kept" / "Cargo.toml"
+    kept_manifest.parent.mkdir(parents=True)
+    kept_manifest.write_text("untouched")
+
+    prune.stub_missing_cargo_members(tmp_path, out)
+
+    assert kept_manifest.read_text() == "untouched"
+    stub = out / "crates" / "pruned" / "Cargo.toml"
+    assert 'name = "pruned"' in stub.read_text()
+    assert (out / "crates" / "pruned" / "src" / "lib.rs").exists()
+
+
+def test_skips_manifests_without_a_package_name(tmp_path: Path) -> None:
+    (tmp_path / "Cargo.toml").write_text('[workspace]\nmembers = ["virtual"]\n')
+    (tmp_path / "virtual").mkdir()
+    (tmp_path / "virtual" / "Cargo.toml").write_text("[workspace]\n")
+
+    prune.stub_missing_cargo_members(tmp_path, tmp_path / "out")
+
+    assert not (tmp_path / "out" / "virtual" / "Cargo.toml").exists()
+
+
+def test_cargo_dry_run_writes_nothing(tmp_path: Path) -> None:
+    _make_cargo_workspace(tmp_path)
+    out = tmp_path / "out"
+
+    prune.stub_missing_cargo_members(tmp_path, out, dry_run=True)
+
+    assert not out.exists()
+
+
+def test_missing_root_pyproject(tmp_path: Path) -> None:
+    assert prune.resolve_uv_members(tmp_path) == []
+
+
+def test_pyproject_without_workspace(tmp_path: Path) -> None:
+    (tmp_path / "pyproject.toml").write_text('[project]\nname = "root"\n')
+    assert prune.resolve_uv_members(tmp_path) == []
+
+
+def test_resolves_uv_member_globs(tmp_path: Path) -> None:
+    (tmp_path / "pyproject.toml").write_text(
+        '[tool.uv.workspace]\nmembers = ["tools/*", "single"]\n'
+    )
+    for member in ("tools/a", "tools/b", "single"):
+        (tmp_path / member).mkdir(parents=True)
+        (tmp_path / member / "pyproject.toml").write_text("[project]\n")
+    (tmp_path / "tools" / "not-a-package").mkdir()
+
+    members = prune.resolve_uv_members(tmp_path)
+
+    assert sorted(path.relative_to(tmp_path).as_posix() for path in members) == [
+        "single/pyproject.toml",
+        "tools/a/pyproject.toml",
+        "tools/b/pyproject.toml",
+    ]
+
+
+def test_respects_workspace_excludes(tmp_path: Path) -> None:
+    (tmp_path / "pyproject.toml").write_text(
+        '[tool.uv.workspace]\nmembers = ["tools/*"]\nexclude = ["tools/skipped"]\n'
+    )
+    for member in ("tools/a", "tools/skipped"):
+        (tmp_path / member).mkdir(parents=True)
+        (tmp_path / member / "pyproject.toml").write_text("[project]\n")
+
+    members = prune.resolve_uv_members(tmp_path)
+
+    assert [path.relative_to(tmp_path).as_posix() for path in members] == ["tools/a/pyproject.toml"]
+
+
+def _make_uv_workspace(root: Path) -> None:
+    (root / "pyproject.toml").write_text('[tool.uv.workspace]\nmembers = ["tools/*"]\n')
+    for name in ("kept", "pruned"):
+        (root / "tools" / name).mkdir(parents=True)
+        (root / "tools" / name / "pyproject.toml").write_text(
+            f'[project]\nname = "{name}"\nversion = "1.2.3"\ndependencies = ["numpy>=2"]\n'
+        )
+
+
+def test_copies_manifests_of_missing_members(tmp_path: Path) -> None:
+    _make_uv_workspace(tmp_path)
+    out = tmp_path / "out"
+    kept_manifest = out / "tools" / "kept" / "pyproject.toml"
+    kept_manifest.parent.mkdir(parents=True)
+    kept_manifest.write_text("untouched")
+
+    prune.stub_missing_uv_members(tmp_path, out)
+
+    assert kept_manifest.read_text() == "untouched"
+    # The stub is a byte-for-byte manifest copy: uv validates the workspace
+    # graph (including each member's dependencies) against uv.lock.
+    stub = out / "tools" / "pruned" / "pyproject.toml"
+    assert stub.read_bytes() == (tmp_path / "tools" / "pruned" / "pyproject.toml").read_bytes()
+
+
+def test_uv_dry_run_writes_nothing(tmp_path: Path) -> None:
+    _make_uv_workspace(tmp_path)
+    out = tmp_path / "out"
+
+    prune.stub_missing_uv_members(tmp_path, out, dry_run=True)
+
+    assert not out.exists()
diff --git a/libs/@local/repo-chores/python/tests/test_sync.py b/libs/@local/repo-chores/python/tests/test_sync.py
new file mode 100644
index 00000000000..6ff8a6098db
--- /dev/null
+++ b/libs/@local/repo-chores/python/tests/test_sync.py
@@ -0,0 +1,247 @@
+"""Tests for the sync engine: check findings, fixes, and idempotency."""
+
+import json
+import tomllib
+from pathlib import Path
+
+from repo_chores.sync import PYTEST_SCRIPT, assemble_package_json, synchronize
+from repo_chores.workspace import Member
+
+# Check mode
+
+
+def test_check_reports_every_deviation_without_writing(fixture_repo: Path) -> None:
+    before = {path: path.read_text() for path in fixture_repo.rglob("*") if path.is_file()}
+
+    findings = synchronize(fixture_repo, apply=False)
+    messages = "\n".join(f"{finding.path}: {finding.message}" for finding in findings)
+
+    assert "workspace members must list every member" in messages
+    assert "ruff src roots must list every member" in messages
+    assert "pytest testpaths must list every member" in messages
+    assert "tach source roots must list every member" in messages
+    assert "outside/lib is not covered by workspaces.packages" in messages
+    assert 'packages/alpha/pyproject.toml: requires-python must be ">=3.14,<3.15"' in messages
+    assert 'dev group must pin "ruff>=0.15.21"' in messages
+    assert 'dev group must pin "pytest>=8.0"' in messages
+    assert "packages/alpha/package.json: turbo wiring is missing" in messages
+    assert "packages/beta/package.json: turbo wiring is missing" in messages
+    assert "packages/toolcfg/pyproject.toml: manifest has no [project] name" in messages
+
+    after = {path: path.read_text() for path in fixture_repo.rglob("*") if path.is_file()}
+    assert before == after, "check mode must not write"
+
+
+def test_single_segment_globs_do_not_cover_nested_members(fixture_repo: Path) -> None:
+    # fnmatch's `*` crosses path separators and would falsely treat the
+    # nested member as covered; yarn's `*` stays within one segment.
+    package_json_path = fixture_repo / "package.json"
+    data = json.loads(package_json_path.read_text())
+    data["workspaces"]["packages"] = ["!**/node_modules", "outside/*", "packages/*"]
+    package_json_path.write_text(json.dumps(data, indent=2) + "\n")
+
+    nested = fixture_repo / "packages" / "group" / "deep"
+    nested.mkdir(parents=True)
+    (nested / "pyproject.toml").write_text(
+        '[project]\nname = "deep"\nversion = "0.1.0"\nrequires-python = ">=3.14,<3.15"\n'
+    )
+
+    findings = synchronize(fixture_repo, apply=False)
+
+    messages = [finding.message for finding in findings]
+    assert any("packages/group/deep is not covered" in message for message in messages)
+    assert not any("packages/alpha is not covered" in message for message in messages)
+    assert not any("outside/lib is not covered" in message for message in messages)
+
+
+def test_unnamed_manifest_is_unfixable(fixture_repo: Path) -> None:
+    findings = synchronize(fixture_repo, apply=False)
+    unfixable = [finding for finding in findings if not finding.fixable]
+
+    assert [finding.path for finding in unfixable] == ["packages/toolcfg/pyproject.toml"]
+
+
+def test_invalid_dev_requirement_is_an_unfixable_finding(fixture_repo: Path) -> None:
+    manifest_path = fixture_repo / "packages" / "alpha" / "pyproject.toml"
+    manifest_path.write_text(
+        manifest_path.read_text().replace('"pytest>=7.0"', '">=not-a-requirement"')
+    )
+
+    findings = synchronize(fixture_repo, apply=False)
+
+    assert any(
+        finding.path == "packages/alpha/pyproject.toml"
+        and "invalid dev requirement" in finding.message
+        and not finding.fixable
+        for finding in findings
+    )
+
+
+# Fix mode
+
+
+def test_fixes_are_applied_and_idempotent(fixture_repo: Path) -> None:
+    synchronize(fixture_repo, apply=True)
+
+    root_manifest = tomllib.loads((fixture_repo / "pyproject.toml").read_text())
+    expected_members = ["outside/lib", "packages/alpha", "packages/beta"]
+    assert root_manifest["tool"]["uv"]["workspace"]["members"] == expected_members
+    assert root_manifest["tool"]["ruff"]["src"] == expected_members
+    assert root_manifest["tool"]["tach"]["source_roots"] == expected_members
+    assert root_manifest["tool"]["pytest"]["ini_options"]["testpaths"] == ["packages/alpha/tests"]
+
+    root_package_json = json.loads((fixture_repo / "package.json").read_text())
+    assert "outside/lib" in root_package_json["workspaces"]["packages"]
+
+    alpha_manifest = tomllib.loads(
+        (fixture_repo / "packages" / "alpha" / "pyproject.toml").read_text()
+    )
+    assert alpha_manifest["project"]["requires-python"] == ">=3.14,<3.15"
+    assert alpha_manifest["dependency-groups"]["dev"] == ["pytest>=8.0", "ruff>=0.15.21"]
+
+    alpha_package_json = json.loads(
+        (fixture_repo / "packages" / "alpha" / "package.json").read_text()
+    )
+    assert alpha_package_json["name"] == "@python/alpha"
+    assert alpha_package_json["license"] == "AGPL-3"
+    assert "test:unit" in alpha_package_json["scripts"]
+
+    beta_package_json = json.loads(
+        (fixture_repo / "packages" / "beta" / "package.json").read_text()
+    )
+    assert beta_package_json["name"] == "@python/beta"
+    assert beta_package_json["dependencies"] == {"@python/alpha": "workspace:*"}
+    assert "test:unit" not in beta_package_json["scripts"]
+
+    # Only the unfixable finding remains; a second apply changes nothing.
+    remaining = synchronize(fixture_repo, apply=True)
+    assert [finding.fixable for finding in remaining] == [False]
+
+
+def test_root_manifest_comments_survive_fixes(fixture_repo: Path) -> None:
+    manifest_path = fixture_repo / "pyproject.toml"
+    manifest_path.write_text(
+        manifest_path.read_text().replace(
+            "[tool.uv.workspace]", "# Managed members list.\n[tool.uv.workspace]"
+        )
+    )
+
+    synchronize(fixture_repo, apply=True)
+
+    assert "# Managed members list." in manifest_path.read_text()
+
+
+def test_fix_removes_stale_and_duplicate_member_entries(fixture_repo: Path) -> None:
+    stale = 'members = [\n    "packages/ghost",\n    "packages/alpha",\n    "packages/alpha",\n]'
+    manifest_path = fixture_repo / "pyproject.toml"
+    manifest_path.write_text(
+        manifest_path.read_text().replace('members = [\n    "packages/alpha",\n]', stale)
+    )
+
+    synchronize(fixture_repo, apply=True)
+
+    root_manifest = tomllib.loads(manifest_path.read_text())
+    assert root_manifest["tool"]["uv"]["workspace"]["members"] == [
+        "outside/lib",
+        "packages/alpha",
+        "packages/beta",
+    ]
+
+
+def test_non_string_member_entries_are_reported_not_clobbered(fixture_repo: Path) -> None:
+    manifest_path = fixture_repo / "pyproject.toml"
+    manifest_path.write_text(
+        manifest_path.read_text().replace(
+            'members = [\n    "packages/alpha",\n]',
+            'members = [\n    "packages/alpha",\n    42,\n]',
+        )
+    )
+
+    findings = synchronize(fixture_repo, apply=True)
+
+    assert any(
+        "workspace members must only contain strings" in finding.message and not finding.fixable
+        for finding in findings
+    )
+    root_manifest = tomllib.loads(manifest_path.read_text())
+    assert root_manifest["tool"]["uv"]["workspace"]["members"] == ["packages/alpha", 42]
+
+
+# assemble_package_json
+
+
+def _make_member(
+    *,
+    workspace_dependencies: tuple[str, ...] = (),
+    has_tests: bool = False,
+) -> Member:
+    return Member(
+        directory="packages/alpha",
+        name="alpha",
+        requires_python=">=3.14,<3.15",
+        dependencies=(),
+        dev_dependencies=(),
+        workspace_dependencies=workspace_dependencies,
+        insecure_bounds_allowlist=(),
+        has_tests=has_tests,
+    )
+
+
+def _scripts_of(assembled: dict[str, object]) -> dict[str, str]:
+    scripts = assembled["scripts"]
+    assert isinstance(scripts, dict)
+    checked = {
+        key: value
+        for key, value in scripts.items()
+        if isinstance(key, str) and isinstance(value, str)
+    }
+    assert len(checked) == len(scripts)
+    return checked
+
+
+def test_assemble_preserves_custom_scripts_and_extra_keys() -> None:
+    existing = {
+        "description": "Hand-written description",
+        "scripts": {"custom:thing": "echo hi"},
+    }
+
+    assembled = assemble_package_json(_make_member(), existing)
+
+    assert assembled["description"] == "Hand-written description"
+    assert _scripts_of(assembled)["custom:thing"] == "echo hi"
+    assert "lint:ruff" in _scripts_of(assembled)
+    assert "fix:ruff" in _scripts_of(assembled)
+
+
+def test_assemble_manages_identity_scripts_and_dependencies() -> None:
+    member = _make_member(workspace_dependencies=("alpha-core",), has_tests=True)
+
+    assembled = assemble_package_json(member, {"name": "@python/stale", "license": "MIT"})
+
+    assert assembled["name"] == "@python/alpha", "stale names are overwritten"
+    assert assembled["license"] == "MIT", "hand-set licenses are preserved"
+    assert "test:unit" in _scripts_of(assembled)
+    assert assembled["dependencies"] == {"@python/alpha-core": "workspace:*"}
+
+
+def test_assemble_removes_managed_pytest_script_when_tests_are_gone() -> None:
+    existing = {"scripts": {"test:unit": PYTEST_SCRIPT, "custom:thing": "echo hi"}}
+
+    assembled = assemble_package_json(_make_member(has_tests=False), existing)
+
+    assert "test:unit" not in _scripts_of(assembled)
+    assert _scripts_of(assembled)["custom:thing"] == "echo hi"
+
+
+def test_assemble_preserves_hand_written_test_script_without_tests_directory() -> None:
+    existing = {"scripts": {"test:unit": "vitest run"}}
+
+    assembled = assemble_package_json(_make_member(has_tests=False), existing)
+
+    assert _scripts_of(assembled)["test:unit"] == "vitest run"
+
+
+def test_assemble_omits_empty_dependencies() -> None:
+    assembled = assemble_package_json(_make_member(), {"dependencies": {"x": "1"}})
+
+    assert "dependencies" not in assembled
diff --git a/libs/@local/repo-chores/python/tests/test_workspace.py b/libs/@local/repo-chores/python/tests/test_workspace.py
new file mode 100644
index 00000000000..b90b3cca68f
--- /dev/null
+++ b/libs/@local/repo-chores/python/tests/test_workspace.py
@@ -0,0 +1,47 @@
+"""Tests for workspace discovery and parsing."""
+
+from pathlib import Path
+
+import pytest
+
+from repo_chores.workspace import (
+    WorkspaceError,
+    find_member_manifests,
+    find_workspace_root,
+    load_workspace,
+)
+
+
+def test_find_member_manifests_skips_pruned_and_root(fixture_repo: Path) -> None:
+    manifests = find_member_manifests(fixture_repo)
+    directories = [manifest.parent.relative_to(fixture_repo).as_posix() for manifest in manifests]
+
+    assert directories == [
+        "outside/lib",
+        "packages/alpha",
+        "packages/beta",
+        "packages/toolcfg",
+    ]
+
+
+def test_find_workspace_root_walks_up_from_member(fixture_repo: Path) -> None:
+    assert find_workspace_root(fixture_repo / "packages" / "alpha") == fixture_repo
+
+
+def test_find_workspace_root_errors_when_no_workspace_exists(tmp_path: Path) -> None:
+    with pytest.raises(WorkspaceError, match=r"tool\.uv\.workspace"):
+        find_workspace_root(tmp_path)
+
+
+def test_load_workspace_parses_root_and_members(fixture_repo: Path) -> None:
+    workspace = load_workspace(fixture_repo)
+
+    assert workspace.requires_python == ">=3.14,<3.15"
+    assert workspace.declared_members == ("packages/alpha",)
+
+    members = {member.directory: member for member in workspace.members}
+    assert members["packages/alpha"].has_tests
+    assert members["packages/alpha"].requires_python == ">=3.13"
+    assert members["packages/beta"].workspace_dependencies == ("alpha",)
+    assert not members["packages/beta"].has_tests
+    assert members["packages/toolcfg"].name is None
diff --git a/package.json b/package.json
index f5824780b92..57a32f3167a 100644
--- a/package.json
+++ b/package.json
@@ -39,6 +39,7 @@
     "fix:eslint": "mise run fix:eslint",
     "fix:format": "oxfmt --write",
     "fix:markdownlint": "mise exec --env dev markdownlint-cli2 -- markdownlint-cli2 --fix",
+    "fix:python": "mise run fix:python",
     "fix:taplo": "taplo fmt",
     "fix:yarn-deduplicate": "yarn dedupe --strategy highest",
     "generate-ontology-type-ids": "yarn workspace @apps/hash-api generate-ontology-type-ids",
@@ -50,6 +51,7 @@
     "lint:format": "oxfmt --check",
     "lint:license-in-workspaces": "yarn workspace @local/repo-chores exe scripts/check-license-in-workspaces.ts",
     "lint:markdownlint": "mise exec --env dev markdownlint-cli2 -- markdownlint-cli2",
+    "lint:python": "mise run lint:python",
     "lint:skill": "yarn agents:skill-management validate",
     "lint:taplo": "taplo fmt --check",
     "lint:tsc": "mise run lint:tsc",
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000000..5f184450e2c
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,206 @@
+# Root of the Python workspace. Shared configuration for every Python package
+# in the repository lives here; per-package manifests only declare identity and
+# dependencies. Generated sections are kept correct by `mise run sync:python`
+# (see libs/@local/repo-chores/python) and validated in CI.
+
+[project]
+description = "Workspace-level Python configuration for the HASH monorepo"
+name        = "hash"
+version     = "0.0.0"
+# The single source of truth for the workspace Python version: every member
+# must declare exactly the same bound, enforced by `repo-chores sync --check`.
+requires-python = ">=3.14,<3.15"
+
+[tool.uv]
+add-bounds    = "major"  # require cargo-style bounded ranges (>=1.2.3, <2.0.0)
+exclude-newer = "5 days" # mirrors npm release age
+package       = false
+
+[tool.uv.workspace]
+# Managed by `mise run sync:python`
+members = [
+    "apps/petrinaut-opt",
+    "libs/@local/repo-chores/python",
+]
+
+[dependency-groups]
+dev = [
+    "hash-repo-chores",    # workspace tooling
+    "pytest>=9.1.1,<10",
+    "ruff>=0.15.21,<0.16",
+    "tach>=0.35,<0.36",
+    "ty>=0.0.58,<0.1",
+]
+
+[tool.uv.sources]
+hash-repo-chores = { workspace = true }
+
+[tool.pytest.ini_options]
+addopts = "-q --import-mode=importlib"
+# Managed by `mise run sync:python`
+testpaths = [
+    "apps/petrinaut-opt/tests",
+    "libs/@local/repo-chores/python/tests",
+]
+
+[tool.ruff]
+# Linter: strictest rule set, exceptions curated below. Formatter: next style epoch.
+preview = true
+extend-exclude = [
+    # Standalone end-user example script: it predates the Python workspace,
+    # deliberately has no third-party dependencies, and follows its own style.
+    "libs/@hashintel/petrinaut-cli/examples/python_stdio.py",
+]
+line-length = 100
+target-version = "py314"
+
+# Managed by `mise run sync:python`
+src = [
+    "apps/petrinaut-opt",
+    "libs/@local/repo-chores/python",
+]
+
+[tool.ruff.lint]
+ignore = [
+    # Formatter conflicts (ruff's own recommendation).
+    "COM812",
+    "ISC001",
+    # No copyright-header convention in this repository.
+    "CPY001",
+    # Docstring-style pair choices: summary on the first line, no blank
+    # line before the class docstring.
+    "D203",
+    "D213",
+    # Docstring presence is judged in review, not by rule: a docstring has
+    # to earn its keep, and mandatory-docstring rules breed filler that
+    # restates the signature. Module docstrings (D100) stay required. The
+    # same reasoning covers the pydoclint section rules (DOC): documented
+    # returns/raises are welcome, mandated ones produce boilerplate.
+    "D101",
+    "D102",
+    "D103",
+    "D104",
+    "D105",
+    "D107",
+    "DOC201",
+    "DOC402",
+    "DOC501",
+    # Inline f-string messages at the raise site read better than the
+    # msg-variable indirection these rules force.
+    "EM101",
+    "EM102",
+    "TRY003",
+    # Keyword-only argument passing is generally preferred to positional arguments.
+    # Unlike Rust, keyword arguments can be seen as an impromptu configuration struct.
+    # PLR0917 is still active and limits the max positional arguments allowed.
+    "PLR0913",
+    # Post 3.14 typing annotations are evaluated lazily, additionally modern tooling
+    # like Pydantic relies on the presence of types in value space, even if not used.
+    # Removing them creates excessive noqa noise, and creates runtime errors.
+    "TC001",
+    "TC002",
+    "TC003",
+]
+select = ["ALL"]
+
+[tool.ruff.lint.pylint]
+max-positional-args = 3
+
+[tool.ruff.lint.flake8-tidy-imports.banned-api]
+"__future__.annotations".msg = "Python 3.14 evaluates annotations lazily (PEP 649); the future import is redundant and subtly changes annotation semantics."
+"typing.Any".msg             = "Any is banned: use object for pass-through values, a TypeVar for generic code, or pydantic's JsonValue for opaque JSON."
+
+[tool.ruff.lint.pydocstyle]
+convention = "pep257"
+
+[tool.ruff.lint.per-file-ignores]
+# Tests assert by design, compare against literal expectations, reach into
+# private state to pin behavior, and may run subprocesses built from local
+# argv. Test trees use importlib import mode instead of __init__.py files.
+"**/tests/**" = ["S101", "PLR2004", "SLF001", "D100", "S603", "INP001"]
+# Fixture generators are standalone scripts: they print, they live outside
+# the package tree, and they assert their own arithmetic.
+"**/fixtures/**" = ["T201", "INP001", "S101", "PLR2004", "D100"]
+# CLI modules print their results and import heavy dependencies inside
+# command bodies on purpose: --help must not pay for the underlying imports.
+"**/*_cli.py" = ["PLC0415", "T201"]
+"**/cli.py"   = ["PLC0415", "T201"]
+# The prune module is CI plumbing: it reports progress via print and exists
+# to spawn `turbo` (resolved from PATH) with locally-built arguments.
+"libs/@local/repo-chores/python/repo_chores/prune.py" = ["T201", "S404", "S603", "S607"]
+# The sync engine pipes generated package.json content through the repository
+# formatter (oxfmt, resolved via shutil.which); all arguments are owned.
+"libs/@local/repo-chores/python/repo_chores/sync.py" = ["S404", "S603"]
+
+# Editor LSP only; CI runs ty.
+[tool.pyright]
+venv     = ".venv"
+venvPath = "."
+
+[tool.ty.environment]
+python = "./.venv"
+
+[tool.ty.terminal]
+error-on-warning = true # fail in CI on warnings (Rust equivalent to -D warnings)
+
+[tool.ty.rules]
+unused-ignore-comment      = "error" # see: RUF100 + tach `unused_ignore_directives`
+blanket-ignore-comment     = "error" # see: PGH004
+missing-type-argument      = "error" # bare generics parametrize as Unknown, evading the banned `Any`
+missing-override-decorator = "error" # overrides must be made explicit, to show the contract
+
+# Off by default upstream (false-positive prone); relax per rule when noise appears.
+division-by-zero              = "error"
+possibly-missing-attribute    = "error"
+possibly-missing-import       = "error"
+possibly-unresolved-reference = "error"
+unsupported-dynamic-base      = "error"
+
+
+[tool.ty.src]
+exclude = [
+    # Kept in sync with [tool.ruff] extend-exclude.
+    "libs/\\@hashintel/petrinaut-cli/examples/python_stdio.py",
+]
+
+# Global tach settings. Tach if desired (recommended), is configured per module using `tach.domain.toml`
+# see: https://docs.gauge.sh/usage/configuration/#tachdomaintoml
+[tool.tach]
+exact = true
+exclude = [
+    "**/.venv/**",
+    "**/__pycache__/**",
+    "**/node_modules/**",
+    "**/tests/**",
+]
+forbid_circular_dependencies = true
+ignore_type_checking_imports = false
+# Layer ordering alone constrains imports: a module may import from its own
+# layer or any lower one, and upward imports fail `tach check`. Declaring a
+# module is therefore a two-line layer assignment; `depends_on` stays
+# available for packages that want explicitly curated edges.
+layers_explicit_depends_on = false
+respect_gitignore          = true
+root_module                = "ignore"
+
+# Managed by `mise run sync:python`
+source_roots = [
+    "apps/petrinaut-opt",
+    "libs/@local/repo-chores/python",
+]
+
+layers = [
+    "application",
+    "orchestration",
+    "capability",
+    "domain",
+    # Self-contained tooling that runs before the environment exists. The
+    # bottom position is the isolation guarantee: a bootstrap module importing
+    # anything above it fails `tach check`.
+    "bootstrap",
+]
+
+[tool.tach.rules]
+require_ignore_directive_reasons = "error"
+unused_external_dependencies     = "error" # on false positives, use `tool.tach.external`
+unused_ignore_directives         = "error"
diff --git a/turbo.json b/turbo.json
index 8652ee651b4..497fa7cd49e 100644
--- a/turbo.json
+++ b/turbo.json
@@ -101,6 +101,7 @@
       "env": ["CHECK_TEMPORARILY_DISABLED_RULES"],
       "dependsOn": ["codegen", "@local/eslint#build"]
     },
+    "lint:ruff": {},
     "lint:tsc": {
       "dependsOn": ["codegen", "build:types"]
     },
@@ -108,6 +109,9 @@
       "dependsOn": ["codegen", "@local/eslint#build"]
     },
     "fix:clippy": {},
+    "fix:ruff": {
+      "cache": false
+    },
     "sentry:sourcemaps": {
       "dependsOn": ["build"]
     }
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000000..10d3502a8ee
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1285 @@
+version = 1
+revision = 3
+requires-python = "==3.14.*"
+
+[options]
+exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
+exclude-newer-span = "P5D"
+
+[manifest]
+members = [
+    "hash",
+    "hash-repo-chores",
+    "petrinaut-optimization",
+]
+
+[[package]]
+name = "alembic"
+version = "1.18.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mako" },
+    { name = "sqlalchemy" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/1a/cc/ac0bed8e562e7407fe55c3ba85a4dce86e6dbd8730887bd1e406a6c5c18a/alembic-1.18.5.tar.gz", hash = "sha256:1554982221dd17e9a749b53902407578eb305e453f71999e8c7f0a48389fff8e", size = 2060480, upload-time = "2026-06-25T15:20:54.888Z" }
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+name = "annotated-doc"
+version = "0.0.4"
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diff --git a/yarn.lock b/yarn.lock
index 7bcac4a4d2e..c7556e5fc41 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -884,12 +884,6 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@apps/petrinaut-opt@workspace:*, @apps/petrinaut-opt@workspace:apps/petrinaut-opt":
-  version: 0.0.0-use.local
-  resolution: "@apps/petrinaut-opt@workspace:apps/petrinaut-opt"
-  languageName: unknown
-  linkType: soft
-
 "@apps/petrinaut-website@workspace:apps/petrinaut-website":
   version: 0.0.0-use.local
   resolution: "@apps/petrinaut-website@workspace:apps/petrinaut-website"
@@ -8703,9 +8697,9 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "@local/petrinaut-optimizer-client@workspace:libs/@local/petrinaut-optimizer-client"
   dependencies:
-    "@apps/petrinaut-opt": "workspace:*"
     "@hashintel/petrinaut-core": "workspace:*"
     "@local/tsconfig": "workspace:*"
+    "@python/petrinaut-optimization": "workspace:*"
     eventsource-parser: "npm:3.0.8"
     openapi-typescript: "npm:7.13.0"
     oxfmt: "npm:0.50.0"
@@ -11175,6 +11169,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@python/hash-repo-chores@workspace:libs/@local/repo-chores/python":
+  version: 0.0.0-use.local
+  resolution: "@python/hash-repo-chores@workspace:libs/@local/repo-chores/python"
+  languageName: unknown
+  linkType: soft
+
+"@python/petrinaut-optimization@workspace:*, @python/petrinaut-optimization@workspace:apps/petrinaut-opt":
+  version: 0.0.0-use.local
+  resolution: "@python/petrinaut-optimization@workspace:apps/petrinaut-opt"
+  languageName: unknown
+  linkType: soft
+
 "@radix-ui/colors@npm:3.0.0":
   version: 3.0.0
   resolution: "@radix-ui/colors@npm:3.0.0"