Twenty-five specs called the Playwright APIs with default or hardcoded
timeouts. Routed over Tor those budgets are too small, so a spec fails on
transport latency rather than on the behaviour it asserts.
Route the waits through resolveTimeout and reach pages via gotoOnion, the
helpers the tor branch introduced for exactly this. The remaining changes in
the diff are import wrapping around those calls.
The repository lint enforces this: a raw numeric timeout in a role spec is
rejected with a pointer to resolveTimeout, which is how a hardcoded 500ms
wait added during this session was caught.
Merge work rather than authored here; not deployed.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
WordPress has no AI surface in core, so the requirement applies to whichever
connector the role pins rather than leaving the choice to a site administrator.
The pinned connector is ai-engine, whose `custom` engine type takes an
OpenAI-compatible base URL and an API key per environment.
AI Engine keeps every setting in a single mwai_options array and its REST route
replaces that array wholesale, so the deploy merges instead of assigning:
ai_engine_configure.php filters ai_envs by id, re-appends the managed
environment, and leaves every other environment and API key untouched. A
straight write would delete configuration this deploy never owned.
Both scripts are fed to `wp eval-file -` over stdin with their input passed as
an environment variable. The first attempt used `wp eval` with the code inline,
which cannot survive the quoting: a YAML folded scalar hands Jinja a literal
backslash sequence and PHP fails to parse. That was reproduced in the container,
along with the detail that `wp eval-file -` requires the opening <?php tag,
before the approach was changed. Passing the payload as base64 in an env var
means no shell quoting touches either the code or the virtual key.
ai_engine_endpoint.php reads back the endpoint AI Engine actually stored for the
managed environment, so the assertion compares the plugin's own state rather
than the payload the deploy just sent.
Not verified: the configure script has never run against a live AI Engine
install, so the merge is reasoned from the option shape rather than observed,
and addons/ai-engine.spec.js has executed zero times because the addon bridge
gate resolved svc-ai-litellm against the Playwright role list and skipped it.
ai-engine is third-party, so a change to its option schema would leave this
writing a shape the plugin no longer reads.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5