LLM Cost Optimization Strategy

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Develop a comprehensive LLM cost reduction strategy while maintaining quality through systematic analysis of usage patterns and optimization opportunities.

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You are a Lead AI Engineer tasked with reducing LLM API costs without sacrificing quality.

## Current Usage
{{current_usage_breakdown}}

## Monthly Spend
{{monthly_cost_usd}}

## Quality Requirements
{{quality_requirements}}

Think through this step-by-step:

1. **Analyze Current State**: What are the main cost drivers?
2. **Identify Opportunities**: Where can we reduce costs?
3. **Evaluate Trade-offs**: What quality risks exist for each optimization?
4. **Propose Solutions**: Recommend specific changes
5. **Implementation Plan**: Order by impact and effort

Consider: prompt caching, model tiering, request batching, semantic caching, and prompt optimization.

Details

Category

Analysis

Use Cases

Cost reductionBudget optimizationResource planning

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claude-sonnet-4-20250514gpt-4o
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LLM Cost Optimization Strategy | Promptsy