Next Steps
Now that you understand how NeevCloud Model APIs work, here are recommended next actions:
1. Test in the Playground
Before writing code, use the interactive Playground to:
Experiment with different prompts
Adjust parameters like
temperatureandmax_tokensValidate that the model produces the quality you need
This helps you select the right model and optimize parameters before integration.
2. Create Environment-Specific API Keys
Set up separate keys for:
Development – For local testing and experimentation
Staging – For pre-production testing
Production – For live applications
This separation provides:
Clear usage attribution per environment
Ability to revoke a compromised key without affecting other environments
Isolated monitoring and cost tracking
3. Integrate into Your Application
Use the code examples as templates:
Copy the example for your programming language
Replace placeholder values with your actual API key and parameters
Add error handling for production robustness
Implement retry logic for transient failures
4. Monitor Usage and Costs
Check your dashboard regularly to:
Ensure costs align with expectations
Identify optimization opportunities
Detect any unusual usage patterns
Verify reliability metrics meet your SLA requirements
5. Optimize for Production
Once you're in production:
Fine-tune
max_tokensto balance response quality and costsExperiment with different models to find the best cost-performance tradeoff
Implement caching for frequently requested inputs
Use streaming responses for better user experience with long outputs
6. Scale Confidently
As your usage grows:
Monitor the "Projected Cost" metric to plan budgets
Create additional API keys for new applications or teams
Leverage the automatic scaling—the infrastructure handles increasing load without any action from you
You're now ready to build AI-powered applications with NeevCloud's serverless infrastructure, focusing entirely on your product rather than infrastructure management.
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