Loosen LtsMigrationService.select() to pick every bean in the (from, to]
range regardless of family, so a 4.3.x -> 4.4 offline upgrade runs the real
in-range 4.3.1.x beans plus a new 4.4.0.0 baseline bean, each exactly once.
This replaces the ad-hoc explicit V4_3_1_3Migration.apply() call in
DefaultDataUpdateService and moves the 4.4 baseline flat DDL out of
basic/schema_update.sql into V4_4_0_0Migration / lts/4.4.0.0/schema_update.sql.
A device-state attribute save can complete after its tenant was deleted.
The post-save WS-update callback then resolves an evicted tenant profile
via partitionService.resolve -> getRoutingInfo and throws
TenantNotFoundException uncaught on the ws-callback thread.
Guard resolve() in forwardToSubscriptionManagerService: a deleted tenant
has no partition to route to and no subscribers to notify, so skip the
forward instead of propagating. Mirrors the existing tenant-gone handling
in DefaultDeviceStateService.checkStates().
The deprecation cleanup set @EqualsAndHashCode(callSuper = true) on AlarmComment,
so equals/hashCode now include the BaseData id and createdTime. The delete tests
built the expected comment via a fresh builder (no id), which no longer matches the
server-generated deletion comment (which reuses the original comment id).
Mutate the original alarm comment (already carrying the correct id/createdTime) into
the expected SYSTEM deletion comment instead of building a fresh one.
* feat: send pseudonymized install report (tenant/user hash, tb version) to IoT Hub
* refactor: source install-report tb version/edition from ProjectInfo
Use the existing ProjectInfo component (getProjectVersion/getProductType)
instead of an ad-hoc optional BuildProperties field and a hard-coded "CE"
edition, so PE reports its own product type and the version is the canonical
cleaned value. Constructor-injected via @RequiredArgsConstructor.
Upgrade LangChain4j to 1.15.1-TB1 and migrate GitHub Models to the
official OpenAI integration (OpenAiOfficialChatModel), enabling JSON
Schema (strict) structured output for GitHub Models and exposing JSON
Schema as a response format for Anthropic and Amazon Bedrock.
- Rename model capability flags to supportsSchemalessJsonOutput() and
supportsJsonSchemaOutput(), declared explicitly per provider
- Push response-format capability checks into TbResponseFormat and
simplify response-format handling in TbAiNode
- Remove obsolete manual JSON escaping for GitHub Models, which now
double-escaped requests under the official OpenAI SDK
- Drop the now-obsolete opennlp-tools version pin (the upgraded
LangChain4j fork ships opennlp-tools >= 2.5.9)
- Update the AI rule node UI to offer response formats per provider,
refresh available model lists, and migrate toggle options to @if
- Expand configurer tests to verify per-provider model configuration
Andrii Landiak
Viacheslav Klimov
dshvaika
Oleksandra Matviienko
Nikita Mazurenko
Andrew Shvayka
Igor Kulikov
dpinkevych
nickAS21
dashevchenko
Dmytro Skarzhynets