fix(workflows): normalize two-digit years in GetDOBTask

[rosetta-livekit-bot]

Summary

• Port GetDOBTask from livekit/agents with two-digit year normalization from fix(workflows): normalize two-digit years in GetDOBTask agents#6124
• Normalize years like 90 to 1990 and 05 to 2005 before date validation
• Export the beta DOB workflow and add a changeset

Testing

• pnpm --filter @livekit/agents typecheck
• pnpm --filter @livekit/agents lint (passes with existing warnings)
• pnpm --filter @livekit/agents build

No tests added per porting request.

---

Ported from livekit/agents#6124

Original PR description

Closes #6067

GetDOBTask's prompt tells the model to normalize two-digit years ("90" likely means 1990), but _update_dob_impl takes year as a raw int with no lower bound. Smaller/faster models often pass the spoken value through literally, and date(90, 5, 15) is a valid Python date (year 90 AD): the future-date check passes, no ToolError is raised, and the task completes with a corrupted birthdate. Because this workflow tends to feed identity/healthcare/fintech intake, it's silent data corruption rather than a visible error.

Fix: normalize year < 100 at the top of _update_dob_impl with a pivot window keyed on the current year, which is exactly what the prompt already promises. 90 -> 1990, 05 -> 2005, 26 -> 2026, 27 -> 1927. Four-digit years are left untouched, so there's no regression. The issue floated a hard floor (raise on year < 1900) as an alternative; I went with normalization since it matches the documented prompt contract and the smaller behavioral change.

Verified:

• Added tests/test_dob.py (unit, no LLM). It fails on main (date(90, 5, 15) != date(1990, 5, 15)) and passes with the fix.
• pytest tests/test_dob.py --unit -> 2 passed.
• ruff check and ruff format --check clean on both files.

[changeset-bot]

🦋 Changeset detected

Latest commit: 2a64eae

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 35 packages

Name	Type
@livekit/agents	Major
@livekit/agents-plugin-anam	Major
@livekit/agents-plugin-assemblyai	Major
@livekit/agents-plugin-baseten	Major
@livekit/agents-plugin-bey	Major
@livekit/agents-plugin-cartesia	Major
@livekit/agents-plugin-cerebras	Major
@livekit/agents-plugin-deepgram	Major
@livekit/agents-plugin-did	Major
@livekit/agents-plugin-elevenlabs	Major
@livekit/agents-plugin-fishaudio	Major
@livekit/agents-plugin-google	Major
@livekit/agents-plugin-hedra	Major
@livekit/agents-plugin-hume	Major
@livekit/agents-plugin-inworld	Major
@livekit/agents-plugin-lemonslice	Major
@livekit/agents-plugin-liveavatar	Major
@livekit/agents-plugin-livekit	Major
@livekit/agents-plugin-minimax	Major
@livekit/agents-plugin-mistral	Major
@livekit/agents-plugin-mistralai	Major
@livekit/agents-plugin-neuphonic	Major
@livekit/agents-plugin-openai	Major
@livekit/agents-plugin-perplexity	Major
@livekit/agents-plugin-phonic	Major
@livekit/agents-plugin-resemble	Major
@livekit/agents-plugin-rime	Major
@livekit/agents-plugin-runway	Major
@livekit/agents-plugin-sarvam	Major
@livekit/agents-plugin-silero	Major
@livekit/agents-plugin-soniox	Major
@livekit/agents-plugin-tavus	Major
@livekit/agents-plugins-test	Major
@livekit/agents-plugin-trugen	Major
@livekit/agents-plugin-xai	Major

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[devin-ai-integration]

✅ Devin Review: No Issues Found

Devin Review analyzed this PR and found no bugs or issues to report.