Chris CoutinhoandClaude Opus 4.8
81f7403b12
Round-4 review on PR #893 (no blockers, minor items): - Document why Mistral's _is_transient is SDK-level only (429/5xx): a bare connection drop the SDK surfaces as httpx/ConnectionError isn't an SDKError and isn't retried here by design — the pod-rollover target is the gateway (OpenAI-compatible) path, which does cover connection errors. - Include the last error (%r) in the retry helper's "not resolved after N attempts" error log. - Add test_mistral_embed_batch_retries_on_5xx (batch path parity with embed()). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
97 lines
3.7 KiB
Python
97 lines
3.7 KiB
Python
"""Shared transient-error retry helper for provider modules.
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OpenAI and Mistral retry transient failures (429 rate limits, plus connection
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drops / timeouts / 5xx for the embedding path) on the same exponential-backoff
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curve; extracting the loop here keeps the two provider modules thin and lets
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future providers (Bedrock throttling, etc.) reuse the same primitive. The
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``should_retry`` predicate decides which caught exceptions are transient.
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"""
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from __future__ import annotations
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import logging
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from collections.abc import Awaitable, Callable
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from functools import wraps
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from typing import Any, TypeVar
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import anyio
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logger = logging.getLogger(__name__)
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MAX_RETRIES = 5
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INITIAL_RETRY_DELAY = 2.0
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MAX_RETRY_DELAY = 60.0
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T = TypeVar("T")
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def retry_on_transient(
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exception_type: type[BaseException] | tuple[type[BaseException], ...],
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should_retry: Callable[[BaseException], bool] = lambda _exc: True,
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*,
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provider_name: str = "provider",
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label: str = "rate limit",
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) -> Callable[[Callable[..., Awaitable[T]]], Callable[..., Awaitable[T]]]:
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"""Build a decorator that retries transient exceptions with backoff.
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Args:
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exception_type: Catch this exception class (or tuple of classes), e.g.
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``openai.APIError`` or ``mistralai.client.errors.SDKError``.
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should_retry: Predicate that decides whether a caught exception is
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transient (and so retryable) vs. a permanent error of the same
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class. Defaults to "always True" — appropriate when
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``exception_type`` is already transient-specific (e.g. a 429 class).
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provider_name: Used in log messages so operators can tell which
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provider exhausted retries.
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label: Short noun for the log message ("rate limit", "transient error")
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so the line accurately names what was retried.
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"""
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def decorator(func: Callable[..., Awaitable[T]]) -> Callable[..., Awaitable[T]]:
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@wraps(func)
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async def wrapper(*args: Any, **kwargs: Any) -> T:
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retry_delay = INITIAL_RETRY_DELAY
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last_error: BaseException | None = None
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for attempt in range(1, MAX_RETRIES + 1):
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try:
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return await func(*args, **kwargs)
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# exception_type is constrained by the signature to a
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# BaseException subclass or a tuple of them; the dynamic catch is
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# the whole point of this reusable helper.
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except exception_type as e: # NOSONAR(S5708)
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if not should_retry(e):
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raise
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last_error = e
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if attempt < MAX_RETRIES:
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logger.warning(
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"%s %s (attempt %d/%d): %r; retrying in %.1fs...",
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provider_name,
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label,
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attempt,
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MAX_RETRIES,
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e,
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retry_delay,
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)
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await anyio.sleep(retry_delay)
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retry_delay = min(retry_delay * 2, MAX_RETRY_DELAY)
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logger.error(
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"%s %s not resolved after %d attempts: %r",
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provider_name,
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label,
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MAX_RETRIES,
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last_error,
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)
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if last_error is None: # pragma: no cover — loop above always sets this
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raise RuntimeError("retry loop exited without capturing an error")
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raise last_error
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return wrapper
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return decorator
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# Back-compat alias: the helper was originally rate-limit-specific.
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retry_on_rate_limit = retry_on_transient
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