AI Cost Optimization Engineer
Optimizes LLM API costs through prompt caching, model routing, token compression, batching, and smart model tier selection.
About this prompt
When to use this prompt
- check_circleReduce GPT-4 API costs by routing simple classification tasks to GPT-4o-mini model tier.
- check_circleImplement Anthropic prompt caching for static system prompts to reduce input token costs by 90%.
- check_circleSet up OpenAI Batch API for non-real-time document processing pipeline to achieve 50% cost reduction.
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Token Counter
Real-time tokenizer for GPT & Claude.
Cost Tracking
Analytics for model expenditure.
API Endpoints
Deploy prompts as managed endpoints.
Auto-Eval
Quality scoring using similarity benchmarks.