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
- Provide a scoped Angular ErrorHandler on the dynamic component's
injector in HtmlContainerWidgetComponent so template-runtime
exceptions raised inside user-authored Angular templates flow
through handleWidgetException instead of crashing the global
Angular ErrorHandler.
- Add `ctx.invokeAction($event, actionName, additionalParams?)` to
WidgetActionsApi / WidgetComponent and a `WidgetDestroyCallback` +
ctx.registerDestroyCallback() API on WidgetContext (callbacks run
in registration order on destroy, errors per-callback are caught
so one bad cleanup doesn't break the rest).
- Surface widget actions on the HTML Container basic config: render
tb-widget-actions-panel with the new strokedPanel input below
the html-container settings, and register a default "JavaScript"
multi-action source on the html_container widget JSON.
- Expand the widget-completion docs for `registerDestroyCallback`
(when it fires, what to use it for, lifecycle semantics, exact
callback signature `() => void`) and for `invokeAction`'s
`additionalParams` arg (forwarded to the configured JS action
handler, common payload examples).
Netty 4.1.133.Final introduced a regression in MqttDecoder while fixing
CVE-2026-44248: when multiple MQTT packets are present in the same
cumulation buffer, the per-message size check used the total buffer size
instead of the current packet's declared remaining length. Valid in-limit
packets get rejected with TooLongFrameException("message length exceeds
65536: <small number>"). Fixed upstream by netty/netty#16787 and ported
to 4.1 as netty/netty@30f8f284db, released in 4.1.134.Final.
Exposes the dashboard entities-limit check as a reusable public method
so callers outside the validator can enforce the same limit without
duplicating the apiLimitService logic.