Advanced API Usage¶
Take your integration to the next level with advanced features of our AI-powered API.
1. Chaining Requests¶
You can chain multiple API calls to build complex workflows. For example, generate text and then analyze its sentiment.
Example: Generate and Analyze¶
import api_client
client = api_client.Client('your-api-key')
# Generate text
response = client.generate(prompt='Write a product review for a new phone', model='gpt-4')
text = response.content
# Analyze sentiment
analysis = client.analyze(text=text, tasks=['sentiment'])
print('Sentiment:', analysis['sentiment']['label'])
2. Using Webhooks¶
Set up webhooks to receive real-time notifications for important events.
- See the Webhooks Guide for setup instructions.
3. Batch Processing¶
Send multiple requests in parallel to speed up processing.
Example: Batch Generation (JavaScript)¶
const prompts = [
'Summarize the latest AI trends',
'Write a tweet about API security',
'Generate a product description for a smart watch'
];
const results = await Promise.all(prompts.map(prompt =>
client.generate({ prompt, model: 'gpt-4' })
));
results.forEach((result, i) => {
console.log(`Prompt ${i + 1}:`, result.content);
});
4. Customizing Models¶
You can specify different models and parameters for each request. See the API Reference for details.
5. Monitoring and Logging¶
- Log all API requests and responses for debugging.
- Monitor usage and errors in your dashboard.
6. Next Steps¶
- Explore Best Practices
- Join our Discord community
- Contact Support for help
Last update:
July 14, 2025
Created: July 14, 2025
Created: July 14, 2025