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General

Cost-Optimizing Prompts

Prompting at scale needs attention to tokens and latency. Small changes often produce large cost savings.

Techniques

  • Shorten context: Trim retrieved passages and prefer summaries over verbatim text.
  • Limit response length: Set max_tokens and ask for concise outputs.
  • Use structured templates: Structured outputs reduce costly re-parsing and follow-ups.

Operational tips

  • Cache frequent prompts and responses when acceptable for freshness.
  • Use lower-cost models for routing filters and simple tasks, and only escalate to larger models for complex requests.

Monitoring token usage and running small A/B cost experiments uncovers the best balance between quality and price.