Hey all, I have cut RC3 for apache-airflow-providers-common-ai 1.1.0, following its exclusion from the October 29 RC2 vote.
This is a shortened 24-hour vote under the provider re-cut policy: https://lists.apache.org/thread/cv194w1fqqykrhswhmm54zy9gnnv6kgm The vote will remain open for at least 24 hours from this email and until at least three binding +1 votes have been received. Consider this my +1 (binding). RC3 includes the compatibility fix from #75270. Durable streaming works with pydantic-ai 2.60+, and OpenSandbox 1.2 ports-only egress policy mismatches report the intended error instead of a TypeError. Existing lower dependency bounds are unchanged. Only Common AI is included in this vote. The separate RC2 vote for microsoft-azure 15.3.0 and openlineage 2.21.0 continues independently. The release candidate artifacts are available at: https://dist.apache.org/repos/dist/dev/airflow/providers/2026-10-31/ The full source archive is apache_airflow_providers-2026-10-31-source.tar.gz. The Common AI sdist and wheel are convenience distributions. SVN filenames use the final version so an approved candidate can be promoted without rebuilding. The artifacts were built from signed wave tag providers/2026-10-31 at commit 77d15dc2c6263191de48ae52453179256cc3ccd8. The provider tag is providers-common-ai/1.1.0rc3. Public keys: https://dist.apache.org/repos/dist/release/airflow/KEYS Signing fingerprint: 98820F00E5CF086C8A784091740F4342F6ECB77C Testing status: https://github.com/apache/airflow/issues/76178 Staging documentation: https://airflow.staged.apache.org/docs/apache-airflow-providers-common-ai/1.1.0/ PMC verification instructions: https://github.com/apache/airflow/blob/main/dev/README_RELEASE_PROVIDERS.md#verify-the-release-candidate-by-pmc-members Contributor verification instructions: https://github.com/apache/airflow/blob/main/dev/README_RELEASE_PROVIDERS.md#verify-the-release-candidate-by-contributors Please vote accordingly: [ ] +1 approve [ ] +0 no opinion [ ] -1 disapprove with the reason Only votes from PMC members are binding. Community members are encouraged to test and vote with non-binding. The PyPI release candidate is: https://pypi.org/project/apache-airflow-providers-common-ai/1.1.0rc3/ Cheers, Hussein Awala
