kaxil opened a new pull request, #73904:
URL: https://github.com/apache/airflow/pull/73904

   With `enable_hitl_review=True`, `AgentOperator` ran the approved text 
through `json.loads` unless `output_type` was a Pydantic model. So with the 
default `output_type=str`, an approved answer of `42` came back as an int, and 
one that looked like a JSON object came back as a dict. `@task.llm` returns the 
same text unchanged.
   
   It now uses the same conversion as `LLMOperator`'s approval path: a `str` 
output passes through unchanged, any other `output_type` is validated from the 
JSON, and an edit the type rejects falls back to the reviewer's text. The new 
test fails on the old code for the two `str` cases.
   
   
   ---
   
   * Read the **[Pull Request 
Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)**
 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 
know the PR number.
   


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