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# Simple simulation of a token bucket for rate limiting in Kimi K2
import time
# Configuration for the token bucket
tokens = 10 // Maximum tokens available at any given time
refill_rate = 1 // Number of tokens added per second
last_time = time.time()
def consume_token():
global tokens, last_time
current = time.time()
elapsed = current - last_time
new_tokens = int(elapsed * refill_rate) // Calculate tokens to add based on elapsed time
if new_tokens > 0:
tokens = min(tokens + new_tokens, 10) // Ensure the bucket does not exceed its maximum capacity
last_time = current
if tokens > 0:
tokens -= 1
return True // Token successfully consumed; proceed with the request
else:
return False // No tokens available; limit reached
// Simulation: Making several API requests in a loop
for i in range(15):
if consume_token():
print(f"Request {i+1} processed")
else:
print(f"Request {i+1} denied due to rate limit")
time.sleep(0.2) // Simulate brief pauses between requests
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When interacting with AI, it is pivotal to provide clear and detailed descriptions of your situation and objectives. This ensures that the AI comprehends your needs better and can provide more accurate and helpful responses. Always include relevant background information to set the stage for your inquiry and use simple language to minimize misunderstandings.
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