Cheatsheets
Performance Optimization

Performance Optimization

1. Use Efficient Models

Choosing the right model can have a significant impact on performance. For high-speed applications, consider using lighter, more efficient models over large models, which may take more time to generate responses.

                                
# Example of using a smaller model for faster performance
response = deepseek.generate("Write a short poem", model="efficient-model")
print(response.text)

2. Use Batch Processing

For handling multiple requests efficiently, consider using batch processing. This allows you to send multiple requests in a single API call, reducing the overhead and increasing throughput.

                                
# Example of batch processing with multiple requests
responses = deepseek.generate_batch([
    "Generate a short story about a hero",
    "Write a poem about the moon",
    "Create a product description"
])
for response in responses:
    print(response.text)

3. Optimize API Call Frequency

To optimize performance, consider reducing the frequency of API calls. You can achieve this by caching frequent responses or generating content in bulk and reusing it.

                                
# Example of caching API responses to reduce frequency
def generate_with_cache(query):
    if query in cache:
        return cache[query]
    else:
        response = deepseek.generate(query)
        cache[query] = response
        return response

# Use the cache
cache = {}
response = generate_with_cache("Generate a short story")
print(response.text)

4. Asynchronous Requests

For large-scale applications, consider making asynchronous API calls to avoid blocking operations while waiting for responses. This can improve the responsiveness of your application.

                                
import asyncio

async def generate_async(query):
    response = await deepseek.generate(query)
    print(response.text)

# Run the asynchronous request
asyncio.run(generate_async("Write a short story about a hero"))

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Performance Optimization

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