The ai-engine addon declared the custom environment with an id, endpoint and
api key but no models array. AI Engine resolves the models of a custom
environment in core.php through get_engine_models(), which iterates
$engine['models'], so an absent key yields an empty list and the requested
model can never be resolved. POST mwai/v1/ai/completions answered 500 before
any request left WordPress: the gateway log showed only 200s from other
consumers for that window.
Declare the single model the gateway serves, in the field shape the plugin's
own constants/models.php uses. Price and unit are zero because the
in-cluster gateway is not metered.
The two nocheck directives are needed because the addon schema lint reads a
bare integer as a possibly inlined secret; these are context windows.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
834 commits from the Tor onion-service branch against 299 of ours, from merge
base 7b646bdece: 127 conflicted files, 3506 files changed.
The two sides are largely orthogonal. Theirs adds svc-net-tor and a `tor` service
across the role tree, plus two sweeping refactors: shipped scripts sorted by
language (files/ruby/, files/python/, files/shell/, scripts/lint/*.sh) and the
unit suite moved under tests/unit/python/. Ours is requirement 036, the native AI
gateway, plus the MCP role work. Most conflicts were both sides appending to the
same service map, resolved as unions.
Resolutions that were not unions:
Credentials moved namespace. Theirs renamed meta/schema.yml to meta/secrets.yml
and re-addressed credentials as secrets.credentials.<name>. Git carried our
litellm_api_key blocks through the rename, but every consumer we added still read
'credentials.<name>', which no longer resolves. All 45 call sites are migrated.
plugins/filter/container_volumes.py is deleted by theirs and relocated to
plugins/lookup/container_volumes.py, where it carries the same tmpfs defect our
f85996b43 had just fixed: a hard-coded {"size": ...} that silently drops a per
mount `mode`. The fix is re-applied in the relocated file, as that commit's merge
note anticipated.
compose.yml keeps only INFINITO_PLAYWRIGHT_REPORTS_BASE_DIR. Theirs also forwards
INFINITO_PLAYWRIGHT_STAGE_BASE_DIR; that line is deliberately dropped, per the
analysis recorded in 45804e9ad -- STAGE has a drift-proof role-vars fallback,
while forwarding it promotes a setdefault-pinnable .env value above that SPOT.
tasks/stages/01_constructor.yml takes their include, ./tasks/utils/setup/group.yml,
because their refactor removed tasks/groups/*-roles.yml, leaving our include
target nonexistent. Our task name is kept, since svc-virt is in the loop.
Makefile swarm-zombie is a union: their validate plus teardown, then our
lab_subnet cleanup, which their side dropped while leaving lab_subnet.sh as the
only orphaned reference in the file.
01_bootstrap.sh keeps our deterministic --ip pinning, which distinguishes an
already-attached node from a real failure, over their `|| true`.
Their language-sorted layout orphaned references our side still held: zammad's
two scripts/apply/*.rb, jenkins' java-with-ca-trust.sh, and the notify topics
their handlers renamed to hyphenated form. All corrected.
roles/sys-svc-compose/files/shell/swarm/stack_ready.sh gains our latched-update
block: paused, rollback_paused, rollback_started and rollback_completed exit 2
rather than polling a state that cannot resolve without another deploy.
config_from_run is unioned to (title, logged, jobs); the production caller in
trigger/__main__.py now passes jobs, without which our suite suppression would
have been inert.
READMEs are regenerated rather than hand-merged: 15 LiteLLM rows and 91 Tor rows
now derive from the merged metadata, which is itself evidence the meta merge is
coherent.
Verified: 5161 unit tests pass. The single failure, test_query.py TestSortSpec,
also fails on fork/feature/svc-net-tor at b51d2f9919, measured in a baseline
worktree -- so this merge introduces no new unit-test failure. Two modules are
excluded from that run because `baudolo`, a dependency their branch introduces,
is not installed on this host.
Not verified: no deploy has run against the merged tree, and make quality has not
been run end to end here.
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>