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refactor(anthropic-adapter): use MidStreamFallbackError instead of importing openai

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Co-Authored-By: Ishaan Jaffer <155045088+ishaan-berri@users.noreply.github.com>
This commit is contained in:
Devin AI 2026-07-15 14:57:17 +00:00
parent 9a5987b055
commit 3a9fb724eb
1 changed files with 2 additions and 2 deletions
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4
litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
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@ -16,11 +16,11 @@ from typing import (
get_args,
)
import openai
from typing_extensions import assert_never
from litellm._logging import verbose_logger
from litellm._uuid import uuid
from litellm.exceptions import MidStreamFallbackError
from litellm.llms.base_llm.chat.transformation import BaseLLMException
from litellm.types.llms.anthropic import (
AppliedEdit,
@ -40,7 +40,7 @@ _STREAMING_DELTA_TYPES = frozenset(get_args(StreamingContentBlockDeltaType))
def _error_status_and_message(exc: Exception) -> tuple[int, str]:
if isinstance(exc, (BaseLLMException, openai.APIStatusError)):
if isinstance(exc, (BaseLLMException, MidStreamFallbackError)):
return exc.status_code, exc.message
return 500, str(exc) or "Upstream stream ended before completion"