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e3e5444 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | """
LLM utilities with retry logic and token budgeting for the Groq API.
"""
import logging
import os
from typing import Any, Callable
from tenacity import (
retry,
wait_exponential,
stop_after_attempt,
retry_if_exception_type,
RetryError
)
logger = logging.getLogger(__name__)
LLM_MAX_RETRIES = int(os.getenv("LLM_MAX_RETRIES", "3"))
LLM_INITIAL_WAIT_MS = int(os.getenv("LLM_INITIAL_WAIT_MS", "1000"))
# Import Groq-specific exception types so the retry decorator actually fires
# on real API failures (rate limits, timeouts, connection drops).
# Falls back to generic exception types if groq package is absent.
try:
from groq import (
APIStatusError as _GroqAPIStatusError,
RateLimitError as _GroqRateLimitError,
APIConnectionError as _GroqAPIConnectionError,
APITimeoutError as _GroqAPITimeoutError,
)
_RETRYABLE_EXCEPTIONS: tuple = (
_GroqAPIStatusError,
_GroqRateLimitError,
_GroqAPIConnectionError,
_GroqAPITimeoutError,
RuntimeError,
OSError,
)
logger.debug("Groq-specific exception types loaded for LLM retry targeting.")
except ImportError:
_RETRYABLE_EXCEPTIONS = (RuntimeError, OSError)
logger.debug(
"groq package exceptions not available; "
"LLM retry will only fire on RuntimeError/OSError."
)
def with_llm_retry(func: Callable) -> Callable:
"""
Decorator for LLM calls with exponential backoff retry.
Correctly targets Groq API exceptions (rate limit, connection, timeout, status).
"""
@retry(
retry=retry_if_exception_type(_RETRYABLE_EXCEPTIONS),
wait=wait_exponential(
multiplier=1,
min=LLM_INITIAL_WAIT_MS / 1000,
max=60
),
stop=stop_after_attempt(LLM_MAX_RETRIES),
reraise=True,
before_sleep=lambda retry_state: logger.warning(
"LLM call failed (attempt %d/%d), retrying in %.1fs...",
retry_state.attempt_number,
LLM_MAX_RETRIES,
retry_state.next_action.sleep
)
)
def wrapper(*args: Any, **kwargs: Any) -> Any:
return func(*args, **kwargs)
return wrapper
def safe_llm_call(llm_func: Callable, fallback_value: Any = None) -> Callable:
"""
Wrapper for non-critical LLM operations that returns a fallback value
on exhausted retries or unexpected failures.
"""
def wrapper(*args: Any, **kwargs: Any) -> Any:
try:
return with_llm_retry(llm_func)(*args, **kwargs)
except RetryError as e:
logger.error("LLM call exhausted all retries: %s", e)
return fallback_value
except Exception as e:
logger.error("Unexpected LLM call failure: %s", e)
return fallback_value
return wrapper
def estimate_prompt_tokens(text: str) -> int:
"""
Rough token count estimation: 1 token ≈ 4 characters.
Use Groq's tokenizer endpoint for accurate counting.
"""
return len(text) // 4
def enforce_token_budget(text: str, max_tokens: int = 2000) -> str:
"""
Truncate text to stay within an estimated token budget.
Attempts to cut at a clean newline boundary to avoid producing
structurally broken JSON or mid-sentence truncations.
"""
estimated = estimate_prompt_tokens(text)
if estimated <= max_tokens:
return text
max_chars = max_tokens * 4
truncated = text[:max_chars]
# Prefer cutting at a newline close to (but not past) the limit
break_pos = truncated.rfind('\n')
if break_pos > int(max_chars * 0.8):
truncated = truncated[:break_pos]
logger.warning(
"Text truncated from ~%d to ~%d tokens to respect budget of %d tokens.",
estimated,
estimate_prompt_tokens(truncated),
max_tokens
)
return truncated
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