kaxil opened a new pull request, #74313:
URL: https://github.com/apache/airflow/pull/74313

   On pydantic-ai-slim 2.50 or later, an `AgentOperator` retry with 
`durable=True`, and the resume after a tool approval, fail on Airflow 3.3+ when 
they load the usage the earlier attempt saved:
   
   ```
   ValueError: 'run_usage'['audio_seconds'] in the task state store is not an 
int (got 0.0); delete the key to reset.
   ```
   
   pydantic-ai 2.50 added `audio_seconds: float` to `RunUsage` (seconds of 
audio billed, for voice models). `load_run_usage` in `utils/usage_budget.py` 
walks every `RunUsage` field and, apart from `cost` and `details`, requires an 
int. The first attempt saves the usage with `audio_seconds=0.0`, so the retry 
or resume cannot read it back. The provider allows `pydantic-ai-slim>=2.33.0`, 
so any install that has picked up 2.50+ is affected; CI did not catch it 
because `uv.lock` pins 2.48.0.
   
   Fields declared as `float` now load as floats, still rejecting strings and 
bools; count fields keep the int check. The loader already carries any new 
`RunUsage` field through automatically, so this only teaches it the second 
numeric type.
   
   With pydantic-ai-slim 2.52.0 installed, 15 existing tests in `test_agent.py` 
(durable usage-budget retries) and `test_agent_tool_approval.py` (approve, 
reject, timeout and cancel on resume) fail on `main` with the error above and 
pass with this change. The new tests include a round trip through 
`TypeAdapter(RunUsage)`, the path the resume uses, which runs on every 
pydantic-ai version, so a future field of another type fails it instead of 
being skipped.
   
   ---
   
   * Read the **[Pull Request 
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 for more information. Note: commit author/co-author name and email in commits 
become permanently public when merged.
   * For fundamental code changes, an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
 is needed.
   * When adding dependency, check compliance with the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   * For significant user-facing changes create newsfragment: 
`{pr_number}.significant.rst`, in 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments).
 You can add this file in a follow-up commit after the PR is created so you 
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