GovernanceBackendError arrived with the M2 distributed backends but never
made it into the section 6.1 table, so it had no place in the taxonomy
callers actually read. That omission is why the README missed it too.
Records the reparenting, the new governance_backend_down reason, and why
SourceNotConfiguredError deliberately stays outside the reparented family:
a misconfigured source name must burn its failure budget and surface,
not retry forever in silence.
Five tasks, with the ARCHITECTURE section 6.1 revision first so the code
never contradicts the single source of truth, and the reparenting kept
atomic because scope is a required keyword argument and any split would
leave an unrunnable tree.
The Codex review caught that the planned test evidence pointed at the
wrong stubs: the ones at test_backpressure.py:176-186 cover accounting-side
degradation, not the three gate paths that actually leak to callers, and
try_acquire and try_enter have no stub at all.
All three open decisions were settled as proposed: a dedicated
SourceNotConfiguredError so a misconfigured source reaches the dead
letter queue instead of retrying forever, a 5 second retry_after_s so a
backlog does not stampede a backend that is already down, and public
export so callers can alarm on assembly defects specifically.
Background dispatch produced two failure modes this session, and both
looked identical from the outside: a run that had finished without anyone
noticing, and a run that had wedged without anyone noticing. A pipe on the
end of the command masked pytest's real exit code as 0, and a waiter
looping on `pgrep -f "<the command>"` matched its own command line and
never terminated. Foreground execution trades parallelism for knowing
what actually happened.
Pins the ARCHITECTURE section 6.1 revision to land before or with the
implementation, since the new scope reason contradicts the current single
source of truth. Documents why SourceNotConfiguredError may sit outside
the four-way classification: that rule governs transport-translated call
failures, and the GatewayUnavailableError family already lives outside it.
Also collapses the ten per-field response ternaries in emit_attempt into
an _AttemptUsage view. They all expressed the same decision and pushed the
method to cyclomatic complexity C, which blocked the commit gate.
Fail-closed governance backend failures are semantically scope-level
unavailability, yet GovernanceBackendError sits directly under
PolyGatewayError, so callers writing only `except GatewayUnavailableError`
drop them into the catch-all bucket and burn their failure budget on a
fault that a restart would clear.
The design reparents it under GatewayUnavailableError with a new
governance_backend_down reason, splits the two "unknown source" sites into
a separate assembly-defect error so a misconfiguration still reaches the
dead letter queue, and picks a non-zero retry_after_s to avoid a
zero-delay retry storm against a backend that is already down.
The design claimed merging would immediately break dissect. It would
not: dissect keeps running whatever version it already has, and this
release does not touch it. What is true is narrower -- once dissect
moves to 1.0.6, the M2.7 scope will refuse to assemble.
Worth recording because the distinction is not academic here.
dissect/requirements.txt declares polygateway>=1.0.1,<1.1, a range
rather than a pin, so 1.0.6 satisfies it and any routine reinstall picks
it up without anyone deciding to upgrade. So it is not "breaks on
merge", it is "breaks on the next dependency install".
The paragraph now carries both corrections it went through, since a
claim about downstream impact that was wrong twice is worth leaving
visible rather than quietly rewriting.
enable_thinking=False was a silent no-op for minimax and openai sources.
The shape of the switch now stays at provider level while a model-level
capability table says whether a given model can honour it at all, and
reasoning_tokens is collected so the cost of thinking can be told apart
from the cost of answering.
Verified against the live gateway: a seventeen-row matrix over 137 real
calls, kept out of the CI gate behind the slow marker.
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.
enable_thinking=False was a no-op for minimax and openai sources: both
profiles had empty dicts on each side, so the payload update injected
nothing while the caller believed reasoning had been turned off. A
downstream project was blocked on exactly this.
The root cause is that an empty dict meant two different things -- "no
injection needed" and "we do not know how this provider spells it" --
and that a provider-level table cannot express what turned out to be a
per-model property. Live testing showed MiniMax-M3 can disable
reasoning via reasoning_effort while M2.7 and M2.5 cannot be disabled
at all, which two external registries independently confirm.
So the shape stays at provider level and a capability table joins it at
model level. Unknown, unsupported and no-opinion are now three distinct
values, and resolve_thinking is the single place they meet: it raises at
assembly time when a model cannot honour the request, warns and injects
for unregistered models, and injects silently otherwise. Every registered
capability carries the evidence it was derived from.
enable_thinking also joins the cache fingerprint, since it now really
does change the request body.
Reasoning tokens are already counted inside completion_tokens, so the
cost total was never wrong -- what was missing is the attribution: how
much of a call was spent thinking rather than answering.
LLMResponse and TransportResult each gain a trailing reasoning_tokens
field, and the telemetry port grows from 21 to 22 columns with the new
column appended in both backends so fresh and migrated schemas keep the
same physical order.
None means this particular call did not report the field, not that the
source never reports it: a relay that falls back to a local tokenizer
replaces the whole usage object and drops completion_tokens_details.
Downstream checks must therefore read "in (None, 0)"; no provider was
observed reporting a literal zero.
Ten tasks in a fixed order: land reasoning_tokens first so it can serve
as the acceptance instrument for the thinking-switch fix, then reshape
the provider profile, add the model-level capability table, wire the
assembly guard, fold enable_thinking into the cache fingerprint, and
verify the whole thing against the live API.
Incorporates a read-only Codex review: resolve_thinking now takes the
model name so its errors can name it, and the warning assertion uses a
loguru sink because caplog cannot see loguru output.
Findings: live-API measurements across MiniMax M3/M2.7/M2.5, qwen and
deepseek, plus a survey of how nine unified gateways model per-model
parameter divergence. Key facts: reasoning_effort is MiniMax's real
switch, M2.x reasoning is mandatory and cannot be disabled, and the
relay's local token-count fallback silently drops reasoning_tokens.
Design: keep the parameter shape at provider level, push capability
down to model level, split "unknown" / "unsupported" / "no opinion"
into three distinct values, and fail at assembly time when a model
cannot honour enable_thinking=False.
Both Redis backends have lowercased scope in their own constructors since
v1.0.0, so case never split the keyspace. What actually does is whitespace:
the backends lower but do not strip.
The test passed overlay and sampling as separate objects while production
aliases them, so an in-place mutation slipped through it. Also syncs the
telemetry schema page and adds the missing postgres round-trip assertion.
Pin the telemetry column semantics across all three emitter entry points,
add the cross-layer sampling snapshot, and reject extra_body on the
embedding and OCR paths instead of accepting it silently.
iomgaa