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<li><strong>Error Handling:</strong> If you exceed the rate limit or the token limit, Qwen2 will return an error message. To avoid disruptions, it is important to implement logic (such as retry mechanisms or user notifications) in your application to handle these errors gracefully.</li>
<li><strong>Best Practices:</strong>
<ul>
<li><strong>Keep inputs concise:</strong> Avoid adding unnecessary text to your prompts to minimize token count.</li>
<li><strong>Monitor usage:</strong> Regularly check how many tokens are being used in each request to remain within your allowed limits.</li>
<li><strong>Implement retries:</strong> Include error handling in your code to pause and retry after a short delay if you hit the rate limit.</li>
</ul>
</li>
</ul>
# Example: Python pseudo-code to interact with the Qwen2 API while handling rate limits and token usage
import time
import requests
# API endpoint and your authentication key for Qwen2
api_url = "https://api.qwen2.example.com/v1/generate"
api_key = "your_api_key_here"
# Function to call the Qwen2 API
def call_qwen2_api(prompt):
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
data = {
"prompt": prompt, // The input text you want Qwen2 to process
"max_tokens": 100 // Maximum number of tokens for the generated output
}
response = requests.post(api_url, json=data, headers=headers)
// If the API responds with a 429 status code, you've hit the rate limit.
if response.status_code == 429:
print("Rate limit exceeded. Waiting for 10 seconds before retrying.")
time.sleep(10) // Wait for 10 seconds before retrying the request
return call_qwen2_api(prompt)
else:
return response.json() // Return the API response as a JSON object
// Example usage: Sending a prompt to Qwen2 and printing the result
user_prompt = "Explain the theory of relativity in simple terms."
result = call_qwen2_api(user_prompt)
print(result)
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