hermes-agent/agent/retry_utils.py

129 lines
4.7 KiB
Python

"""Retry utilities — jittered backoff for decorrelated retries.
Replaces fixed exponential backoff with jittered delays to prevent
thundering-herd retry spikes when multiple sessions hit the same
rate-limited provider concurrently.
"""
import random
import threading
import time
from typing import Any
# Monotonic counter for jitter seed uniqueness within the same process.
# Protected by a lock to avoid race conditions in concurrent retry paths
# (e.g. multiple gateway sessions retrying simultaneously).
_jitter_counter = 0
_jitter_lock = threading.Lock()
# Z.AI Coding Plan's GLM-5.2 endpoint often returns HTTP 429 code 1305
# ("The service may be temporarily overloaded...") for otherwise valid
# Hermes requests. Short retries tend to hammer the same overloaded window;
# after a few normal retries, progressively widen the wait window. Keep the
# cap interactive-friendly: a simple TUI message should fail visibly in minutes,
# not sit silent for 20+ minutes.
_ZAI_CODING_OVERLOAD_LONG_BACKOFF = (30.0, 60.0, 90.0, 120.0)
def jittered_backoff(
attempt: int,
*,
base_delay: float = 5.0,
max_delay: float = 120.0,
jitter_ratio: float = 0.5,
) -> float:
"""Compute a jittered exponential backoff delay.
Args:
attempt: 1-based retry attempt number.
base_delay: Base delay in seconds for attempt 1.
max_delay: Maximum delay cap in seconds.
jitter_ratio: Fraction of computed delay to use as random jitter
range. 0.5 means jitter is uniform in [0, 0.5 * delay].
Returns:
Delay in seconds: min(base * 2^(attempt-1), max_delay) + jitter.
The jitter decorrelates concurrent retries so multiple sessions
hitting the same provider don't all retry at the same instant.
"""
global _jitter_counter
with _jitter_lock:
_jitter_counter += 1
tick = _jitter_counter
exponent = max(0, attempt - 1)
if exponent >= 63 or base_delay <= 0:
delay = max_delay
else:
delay = min(base_delay * (2 ** exponent), max_delay)
# Seed from time + counter for decorrelation even with coarse clocks.
seed = (time.time_ns() ^ (tick * 0x9E3779B9)) & 0xFFFFFFFF
rng = random.Random(seed)
jitter = rng.uniform(0, jitter_ratio * delay)
return delay + jitter
def _error_text(error: Any) -> str:
"""Best-effort flattened provider error text for retry classification."""
parts = [
error,
getattr(error, "message", None),
getattr(error, "body", None),
getattr(error, "response", None),
]
return " ".join(str(part) for part in parts if part is not None).lower()
def is_zai_coding_overload_error(*, base_url: str | None, model: str | None, error: Any) -> bool:
"""Return True for Z.AI Coding Plan transient overload 429s.
The coding-plan endpoint reports overload as HTTP 429 with body code 1305
and message "The service may be temporarily overloaded...". Treat only
that narrow shape specially so ordinary quota/billing 429s still fail fast
through the existing classifier.
"""
base = (base_url or "").lower()
model_name = (model or "").lower()
status = getattr(error, "status_code", None)
text = _error_text(error)
return (
status == 429
and "api.z.ai/api/coding/paas/v4" in base
and "glm-5.2" in model_name
and ("1305" in text or "temporarily overloaded" in text)
)
def adaptive_rate_limit_backoff(
attempt: int,
*,
base_url: str | None,
model: str | None,
error: Any,
default_wait: float,
short_attempts: int = 3,
) -> tuple[float, str | None]:
"""Provider-aware rate-limit backoff.
For most providers this returns ``default_wait`` unchanged. For Z.AI
Coding Plan GLM-5.2 overloads, keep the first ``short_attempts`` retries on
the normal short exponential schedule, then switch to progressively longer
waits (30s → 60s → 90s → 120s, capped) plus light jitter.
``attempt`` is 1-based, matching the retry loop's logged attempt number.
Returns ``(wait_seconds, reason_label)`` where ``reason_label`` is suitable
for status/log decoration when a provider-specific policy fired.
"""
if not is_zai_coding_overload_error(base_url=base_url, model=model, error=error):
return default_wait, None
if attempt <= short_attempts:
return default_wait, "zai_coding_overload_short"
idx = min(attempt - short_attempts - 1, len(_ZAI_CODING_OVERLOAD_LONG_BACKOFF) - 1)
base_delay = _ZAI_CODING_OVERLOAD_LONG_BACKOFF[idx]
# A smaller jitter ratio keeps long waits readable while still avoiding
# synchronized retry storms across concurrent Hermes sessions.
return jittered_backoff(1, base_delay=base_delay, max_delay=base_delay, jitter_ratio=0.2), "zai_coding_overload_long"