Lee-W opened a new pull request, #76999:
URL: https://github.com/apache/airflow/pull/76999
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---
## Why
When every connection of a `fallback_conn_ids` chain fails, `LLMOperator`
and `AgentOperator` raise pydantic-ai's `FallbackExceptionGroup`. `RetryRule`
compares one exception type with `isinstance`, so a rule written for a
provider-specific exception such as `ModelHTTPError` stops matching once a
chain is configured. A rule set that retries rate limits but fails bad requests
collapses into one rule. The classifier prompt of `LLMRetryPolicy` and
`ClassifierRetryPolicy` sees only the group's message, not what each connection
raised. (This is the gap the previous docs in `retry_policies.rst` and
`recovery.rst` described.)
## What
-
`providers/common/ai/src/airflow/providers/common/ai/fallback_exceptions.py`
(new): adds `FallbackChainExhaustedError`, a subclass of
`FallbackExceptionGroup`. It exposes `member_errors` (each connection's error,
in chain order) and `replayed_steps` / `recorded_steps` (durable journal
progress of the failed attempt, `None` when the run was not durable). It lives
outside `common.ai.exceptions` so that module stays importable without
pydantic-ai.
- `.../mixins/cancellable_run.py`: `run_agent_sync` re-raises a
`FallbackExceptionGroup` as `FallbackChainExhaustedError`, `from` the original
group (kept as `__cause__`), filling the journal counts from the current
journal. An error that is already a `FallbackChainExhaustedError` is not
wrapped again.
- `.../policies/retry.py`:
- `fallback_rules` of `LLMRetryPolicy` and `ClassifierRetryPolicy` are
tried, rule by rule in the listed order, against the chain's own error and then
against the **last** connection's error. The last connection decides when
members disagree. A decision taken on it ends its reason with `(last chain
member)`.
- The classifier prompt lists each member as `chain member N of M: <Type>:
<message>`, redacted and limited to `max_exception_length` per member, so one
long message cannot push the last member out. With `durable=True` it also
states how many steps the attempt replayed and recorded. The prompt-building
code was split into a `_limit` helper to share the redact-then-truncate step.
- The `include_traceback=True` path adds no member lines (it already
formats the group).
##### Was generative AI tooling used to co-author this PR?
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- [x] Yes (please specify the tool below)
Generated-by: [Claude] following [the
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
---
* 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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