fix: assign fired_triggers var, avoid checking api triggers

[radu-mocanu]

• assign fired_triggers var on resumable runtime stream execution
• filter out api fired triggers check (api triggers are created upon job suspension)

[Copilot]

Pull request overview

This PR fixes a bug in the stream method of UiPathResumableRuntime where accessing fired_triggers would cause an UnboundLocalError when the runtime returns a non-suspended result. The fix initializes fired_triggers to None and moves the resume preparation code outside the conditional block to execute at the end of every while loop iteration, making it consistent with the pattern used in the execute method.

Changes:

• Initialize fired_triggers = None at the start of the while loop to prevent UnboundLocalError
• Move resume preparation code (lines 137-144) outside the conditional block to execute at the end of each iteration
• Bump version from 0.8.3 to 0.8.4 (patch version for bug fix)

Reviewed changes

Copilot reviewed 2 out of 3 changed files in this pull request and generated no comments.

File	Description
src/uipath/runtime/resumable/runtime.py	Fixed UnboundLocalError by initializing fired_triggers and repositioning resume preparation code to execute after each iteration
pyproject.toml	Version bump to 0.8.4 for bug fix release
uv.lock	Updated lock file to reflect new version

Comments suppressed due to low confidence (1)

src/uipath/runtime/resumable/runtime.py:144

• If the delegate's stream method doesn't yield a UiPathRuntimeResult (violating the protocol contract), final_result remains None and the while loop continues indefinitely with input=None and resume=True. Consider adding an else clause to handle this defensive case by setting execution_completed=True or raising an error to prevent an infinite loop.

            if final_result:
                suspension_result = await self._handle_suspension(final_result)

                if suspension_result.status != UiPathRuntimeStatus.SUSPENDED or not (
                    fired_triggers := await self._restore_resume_input(None)
                ):
                    yield suspension_result
                    execution_completed = True

                # Note: when resuming a job, orchestrator deletes all triggers associated with it,
                # thus we can resume the runtime at this point without worrying a trigger may be fired 'twice'
                input = fired_triggers

                if not options:
                    options = UiPathStreamOptions(resume=True)
                else:
                    options.resume = True

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