Onaro™ONARO

Implementation Guides

Step-by-step guides to optimize your AI costs and performance

Each guide includes detailed instructions, code examples, and best practices to help you implement cost-saving strategies.

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Edge Proxy

Implement request routing & load balancing for AI APIs

⏱️ 2-4 hours⭐ Intermediate💰 $500-2,000/month

Best for: Organizations with >100K API calls/month

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Circuit Breakers

Prevent cascading failures and reduce costs during outages

⏱️ 2-3 hours⭐ Intermediate💰 $200-1,000/month

Best for: Production systems with high availability requirements

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Semantic Caching

Cache similar queries to reduce API costs by up to 80%

⏱️ 4-6 hours⭐ Advanced💰 $1,000-5,000/month

Best for: Applications with repetitive or similar queries

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Model Switching

Route different tasks to cost-optimized models

⏱️ 2-4 hours⭐ Beginner💰 50% savings

Best for: Multi-task AI applications

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Prompt Compression

Reduce token usage by 30-50% without losing quality

⏱️ 3-5 hours⭐ Intermediate💰 $300-1,500/month

Best for: Applications with long context windows

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Response Streaming

Make your AI feel 50x faster with zero cost increase

⏱️ 1-2 hours⭐ Beginner💰 UX boost

Best for: All user-facing AI applications

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Batch Processing

Process multiple requests together to reduce costs by 50%

⏱️ 3-4 hours⭐ Intermediate💰 $500-2,500/month

Best for: Applications with bulk processing needs