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Automatic Prompt Optimization uye DSPy
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Provider-managed prompt caching can reuse computation for repeated prompt prefixes.
Teerera kugwaro iriAI-yakarondedzerwa · ~1 min
Eligibility, cache lifetime, pricing, and controls vary by provider and model.
Prompt caching reuses work for repeated prompt content, often through exact or provider-defined prefix matching. Cache behavior depends on provider, model, request structure, minimum prefix size, and retention rules. A small change near the prefix can prevent reuse. Caching may reduce repeated input processing costs, but cache writes and hits can have different prices and storage windows. It does not guarantee the model will return the same answer or make a prompt safe to store.
Reuse a stable system prompt across requests where provider rules allow.
Keep changing user-specific content after the reusable prefix.
Check provider documentation for cache-hit pricing and retention.
Avoid caching sensitive content unless the service and policy permit it.
Providers may change cache eligibility, pricing, and lifetime. Design against current API documentation and keep sensitive-data retention requirements explicit.
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Provider-managed prompt caching can reuse computation for repeated prompt prefixes. Eligibility, cache lifetime, pricing, and controls vary by provider and model.
The guide says providers may reuse prompt-prefix state for a matching eligible prefix, avoiding some repeated processing; implementation varies by service.
The guide says cache boundaries and matching rules are provider-specific, and a small change can invalidate a cacheable prefix.
Caching inobhadhara kana hombe, yakafanana chunk ikashandiswazve pazvikumbiro zvakawanda, senge yakagadziriswa system yekumhanyisa kana gwaro rakagovaniswa.
Cached-token discounts and eligibility vary by provider, model, and API policy, so check the current pricing documentation.
Cache retention differs by provider and configuration; use the current API documentation for the chosen service.
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Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Automatic Prompt Optimization uye DSPy
Tekinoroji