embedder.heads_path is empty by default and deploy/mavend.json sets
it. A missing or broken weights file logs and leaves the heads nil,
because refusing to start over a routing accelerator would trade a
working box for a better one.
TestONNXRoutingHeads is the same cascade TestONNXBaseline scores with
one arm added, so the two are directly comparable. It also checks the
Go tokenizer against the Python one, since the heads were trained
through transformers and are read through a hand-written tokenizer: a
mismatch shows up here as a score below what Python measured on the
same weights, and nowhere else. That is how the reversed word pieces
were found.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013ptwopxyo3Z2kwFckHkLvN
Step 4 of the QA list, pinned as a test rather than checked by hand: the deploy
has llama-server up and stopping it to look is not available here.
Both halves of a turn call the model. The cascade falls to the classifier and
the replier falls to the stub, and each was covered separately by a stubbed
error value. This wires a real client at a closed port so a dial error walks
the whole path, and asserts three utterances still come back with words.
Also pins that daemonAPI.Chat errors only when the voice path was never wired,
which is what keeps mavweb's /api/chat off its error branch when the model is
down. mavweb never returns 500 there in any case: it redirects to /chat.
claude