The four cases were red because the criterion could not see the
evidence. reasoning_tokens has been None on this route ever since
MiniMax stopped reporting completion_tokens_details, while the same
call carried 185 characters of reasoning prose the assertions never
looked at.
L5 asserted something that cannot happen. M3 returns neither prose nor
usage detail over the plain endpoint, so demanding that the
non-streaming path observe reasoning could never pass. It now asserts
what is true and worth holding: the prompt_tokens anchor still
separates the two directions, so the parameter did reach the model, and
the verdict is not ABSENT, so the library marked the gap honestly
instead of dressing it up as no reasoning.
_ON_MIN_COMPLETION is gone. The two directions overlap in output length
— 46 at most disabled, 13 at least enabled — so that fallback drew a
line through noise and only made the criterion look defended.
providers.py had been holding two jobs: the registry of what each
provider looks like, and the decisions made from those declarations.
Adding response-side judgement would have made it the module for
everything about reasoning, so the decisions move to thinking.py and
the registry keeps only profiles and their lookup.
Moving a module breaks any deep-path import of what moved, so the six
public symbols are promoted to the package root at the same time. The
top level is this library's stated API surface; giving downstream a
stable name to import is what makes the next reorganisation harmless.
observe_thinking stays unexported — downstream reads the verdict off
LLMResponse, and exporting it would be a permanent promise for nothing.
The pre-commit hook runs the whole suite, and tests/e2e/ talks to a real
LLM gateway, so whether a commit is allowed depended on how fast that
gateway happened to be. During the issue 14 work it blocked two commits
on two different cases; both passed when rerun alone, and the suite went
from 165s to 336s that hour.
The wasted minutes are not the real cost. Retrying on red teaches you to
read "test failed" as "gateway was slow", and a genuinely flaky bug then
gets retried away too. An alarm that cries wolf stops being an alarm.
test_thinking_live.py already carried the slow marker; the other three
files now match it, and the release checklist gains an explicit
`pytest -m slow` step so they still run where a human is watching --
without that step this change would just delete the coverage.
Also raises test_flat_legacy_keys_assemble's LLM_TIMEOUT from 120 to
300, matching .env. At 120 the case allowed half of what production
allows, on a gateway that needs the full 300 -- it measured 116s in a
solo run. The assertion is that the flat key name parses into
SourceConfig.timeout_s; the value itself was never under test.
The thinking matrix had been running inside make ci all along, which is
not what the design claimed. It takes seven minutes, spends 137 real
calls, and its criteria are statistical, so a network hiccup fails the
build for reasons unrelated to the change under test -- one run died on
three consecutive network errors exhausting the source.
The project already has the mechanism for this: the slow marker, which
addopts excludes by default and the config comments describe as "CI runs
it on demand". Marking the matrix slow brings make ci back down from
seven minutes to ninety seconds while the matrix stays a merge
requirement via -m slow.
The design also claimed e2e does not run in CI. It does: make test runs
pytest over tests/, e2e included, and the existing smoke tests really
call the gateway whenever .env has credentials. Only slow-marked tests
are excluded. Both documents now say so.
Version sources are pyproject and __init__; a test enforces they agree,
and it caught the second one being missed.
The verifier caught that the disable-direction evidence only proved "no
regression", not "actually took effect": on M3 the disabled runs and the
no-opinion baseline are identically distributed, because that model does
not reason by default anyway. So the disable runs alone cannot rule out
the very failure mode issue #5 is about -- the parameter being silently
dropped upstream. The bogus-value experiment that does rule it out was
sitting in the findings document instead of the test suite; it is now
case L3b, and the L3 assertion that could never fail is gone.
Also from the review: the e2e helper caught bare Exception, which would
have disguised a library bug as an unavailable source, exactly the
silence the reporting discipline exists to prevent; the unregistered
model warning fired on every request instead of once per source; and the
transport caught ValueError broadly enough to mislabel unrelated errors,
now narrowed to a dedicated ThinkingUnsupportedError.
The design and plan still described the original judgement criteria,
which the measurements had already overturned. Both now match what the
tests actually do, and the design no longer claims the only new failure
surface is the openai one -- dissect configures MiniMax-M2.7 with
ENABLE_THINKING=false and will fail at assembly, which has to be
coordinated before this merges.
A sixteen-row matrix over 127 real calls: disable and enable on
MiniMax-M3 in both streaming and non-streaming mode, extra_body winning
over the profile slot, qwen and deepseek still disabling correctly, a
drift sentinel that re-derives every registered capability from live
behaviour, and the assembly guard refusing the models that cannot
comply.
Two judgement criteria had to be corrected by the data they were meant
to judge. Output length cannot separate the two regimes at all -- the
disabled runs reach 46 tokens when the model narrates its working in
the visible answer, and the enabled runs drop to 13 when medium effort
barely thinks. reasoning_tokens separates them cleanly in both
directions, which is precisely what issue #6 was collected for. A
second anchor compares prompt_tokens between the two regimes: the
vendor injects a reasoning instruction when thinking is on, so the
input side grows, and comparing the two runs relatively avoids
hardcoding any vendor number.
Provider names are mapped explicitly rather than guessed from the model
string; guessing had silently skipped the qwen row behind a "source
unavailable" reason that was not true.