Bundled examples keep their behavior tests in backend/tests/, so the core
backend workflow ran optional extension behavior on every pull request. Mark
those suites with pytest.mark.bundled_extension, exclude them from the core
shards and from the duration baseline, and run them in a dedicated workflow
through make test-bundled-extensions. Tests of host mechanisms stay in the
core shards even when an example package is the payload.
The marked suites import deerflow.agents, config, runtime, knowledge and
app.gateway, so the workflow triggers for backend/packages/**,
backend/app/gateway/** and the marked test modules; a backend test pins those
paths, the make target and both marker selections, and fails when a marked
module is missing from the path list. Host/extension compatibility checks — a
host API gate and authorization of contributed routes — live in
test_extension_host_contracts.py so they still fail core CI. The committed
duration baseline drops the 482 entries for the excluded suites.
Refs #8173
Co-authored-by: REI-330 <173389910+REI-330@users.noreply.github.com>
Co-authored-by: willem-bd <143703838+willem-bd@users.noreply.github.com>
Co-authored-by: Eilen6316 <136898293+Eilen6316@users.noreply.github.com>
* feat(examples): add a standalone text classification plugin
A deployment-installed package contributes one model tool, classify_texts,
and a status action through the full-stack plugin contract. The tool labels a
list of texts against caller-supplied categories with a deployment-configured
backend: Jev (one choice question per item over a shared batch state, checked
per item) or an OpenAI-compatible chat endpoint (a JSON label list validated
in code). Items are packed into requests under a size limit and sent with
bounded concurrency; every failure is explicit per call or per item;
credentials come only from deployment-named environment variables; item text
never enters instructions, question keys, results or errors, and the served
model name is kept to a short identifier. Each batch runs under an asyncio
timeout bounded by the call deadline, so the whole call stays inside the
host's 30-second limit, and ids and category names are bounded in bytes so
300 results fit the host's 64 KiB output limit.
* docs(examples): add an opt-in live smoke test for the text classification plugin
The script loads the package through the real extension path and classifies 20
synthetic English and Chinese sentences plus a blank and an over-long item with
the configured backend, printing labels and statuses only. Against real Jev it
agreed on all 20 labels in two requests and 1.6 seconds, with the served model
reported as jev-1.13.0.
* fix(examples): measure request size as sent and cover transport failures
httpx serializes json= bodies with the json.dumps default, escaping every
non-ASCII character as six bytes, while the size estimators measured raw
UTF-8, so CJK batches could reach about twice the 256 KiB limit. The
estimators now measure the same encoding; a test with CJK categories and
texts checks the bytes the transport actually received. The network status
gets a test through connect and protocol errors, and the deadline test's
wall-clock slack is widened for loaded runners.
* fix(examples): match classifier request wire encoding
* fix(examples): bound classification output keys by JSON size
---------
Co-authored-by: Totoro-qaq <279883115+Totoro-qaq@users.noreply.github.com>
