Added exponential backoff on ratelimit error, also print the token usage in output.

fjerkroa_bot/ai_responder.py

@@ -1,4 +1,6 @@
 import json
+import asyncio
+import random
 import multiline
 import openai
 import aiohttp
@@ -31,6 +33,27 @@ def parse_json(content: str) -> Dict:
             raise err
 
 
+def exponential_backoff(base=2, max_delay=60, factor=1, jitter=0.1):
+    """Generate sleep intervals for exponential backoff with jitter.
+
+    Args:
+        base: Base of the exponentiation operation
+        max_delay: Maximum delay
+        factor: Multiplication factor for each increase in backoff
+        jitter: Additional randomness range to prevent thundering herd problem
+
+    Yields:
+        Delay for backoff as a floating point number.
+    """
+    attempt = 0
+    while True:
+        sleep = min(max_delay, factor * base ** attempt)
+        jitter_amount = jitter * sleep
+        sleep += random.uniform(-jitter_amount, jitter_amount)
+        yield sleep
+        attempt += 1
+
+
 def parse_maybe_json(json_string):
     if json_string is None:
         return None
@@ -94,6 +117,7 @@ class AIResponder(object):
         self.history: List[Dict[str, Any]] = []
         self.channel = channel if channel is not None else 'system'
         openai.api_key = self.config['openai-token']
+        self.rate_limit_backoff = exponential_backoff()
         self.history_file: Optional[Path] = None
         if 'history-directory' in self.config:
             self.history_file = Path(self.config['history-directory']).expanduser() / f'{self.channel}.dat'
@@ -182,7 +206,8 @@ class AIResponder(object):
             answer = result['choices'][0]['message']
             if type(answer) != dict:
                 answer = answer.to_dict()
-            logging.info(f"generated response: {repr(answer)}")
+            self.rate_limit_backoff = exponential_backoff()
+            logging.info(f"generated response {result.get('usage')}: {repr(answer)}")
             return answer, limit
         except openai.error.InvalidRequestError as err:
             if 'maximum context length is' in str(err) and limit > 4:
@@ -190,6 +215,10 @@ class AIResponder(object):
                 limit -= 1
                 return None, limit
             raise err
+        except openai.error.RateLimitError as err:
+            rate_limit_sleep = next(self.rate_limit_backoff)
+            logging.warning(f"got an rate limit error, sleep for {rate_limit_sleep} seconds: {str(err)}")
+            await asyncio.sleep(rate_limit_sleep)
         except Exception as err:
             logging.warning(f"failed to generate response: {repr(err)}")
         return None, limit