LLM prompt overhead costs $20k/month for 'hello'
80/100 commercial intent80/100 confidenceLLM prompt optimization / Agentic AI cost reduction
The problem, as people describe it
Developers building custom LLM agents face exorbitant costs and slow response times due to massive, fixed prompt overheads. Even a single-word input can trigger 22,000+ token prompts, leading to high API costs and diluted model attention, especially for narrow-domain agents.
- Corroboration
- 1×
- Sources
- 1
- Category
- Dev Tools / SaaS Infrastructure
- Found on
- github
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