Provayderdan xabardor Prompt Caching
Superdav AI Agent v1.12.0 provayderdan xabardor prompt cachingni taqdim etadi; u promptlarni turli LLM provayderlari bo‘ylab keshlash orqali API xarajatlari va kechikishni optimallashtiradi. Har bir provayderning keshlash mexanizmlari va konfiguratsiyalari turlicha.
Umumiy ko‘rinish
Prompt caching sizga quyidagilarni beradi:
- Katta, tez-tez ishlatiladigan promptlarni keshlash
- Ortiqcha qayta ishlashdan qochib, API xarajatlarini kamaytirish
- Keshlangan so‘rovlar uchun kechikishni yaxshilash
- Kesh hayot siklini aniq boshqarish
Turli provayderlar keshlashni turlicha amalga oshiradi:
- Google Gemini:
cachedContentsAPI - Azure OpenAI: TTL bilan prompt caching
- OpenRouter: Provayderga xos keshlash
- Vertex Anthropic: Kesh boshqaruvi bilan prompt caching
Google Gemini: cachedContents API
Google Gemini cachedContents API orqali aniq kesh boshqaruvini taqdim etadi.
Konfiguratsiya
$config = [
'provider' => 'google-gemini',
'model' => 'gemini-2.0-flash',
'caching' => [
'enabled' => true,
'ttl' => 3600, // 1 hour in seconds
'max_tokens' => 1000000, // Max tokens to cache
],
];
Keshlangan prompt yaratish
use Superdav\AI\Providers\GoogleGemini;
$gemini = new GoogleGemini( $config );
$cached_content = $gemini->create_cached_content(
[
'system_prompt' => 'You are a helpful assistant...',
'context' => 'Large context document...',
'ttl' => 3600,
]
);
// Returns: ['cache_id' => 'abc123', 'expires_at' => timestamp]
Keshlangan promptdan foydalanish
$response = $gemini->generate(
[
'cache_id' => 'abc123',
'prompt' => 'User question here',
]
);
Kesh hayot sikli
// List cached contents
$caches = $gemini->list_cached_contents();
// Get cache details
$cache = $gemini->get_cached_content( 'abc123' );
// Extend cache TTL
$gemini->update_cached_content(
'abc123',
['ttl' => 7200] // Extend to 2 hours
);
// Delete cache
$gemini->delete_cached_content( 'abc123' );
Gemini uchun eng yaxshi amaliyotlar
- Mos TTL belgilang: Xarajatni tejash va keshning eskirishi o‘rtasida muvozanat saqlang
- Tizim promptlarini keshlang: Bir xil tizim promptini so‘rovlar bo‘ylab qayta ishlating
- Keshdan foydalanishni kuzating: Qaysi keshlar eng ko‘p ishlatilishini kuzatib boring
- Muddati o‘tgan keshlarni tozalang: Ishlatilmaydigan keshlarni vaqti-vaqti bilan o‘chiring
Azure OpenAI: Prompt Caching
Azure OpenAI avtomatik TTL boshqaruvi bilan prompt cachingni qo‘llab-quvvatlaydi.
Konfiguratsiya
$config = [
'provider' => 'azure-openai',
'model' => 'gpt-4-turbo',
'api_version' => '2024-08-01-preview',
'caching' => [
'enabled' => true,
'cache_control' => 'max_age=3600',
],
];
Keshlashni yoqish
use Superdav\AI\Providers\AzureOpenAI;
$azure = new AzureOpenAI( $config );
$response = $azure->generate(
[
'system_prompt' => 'You are a helpful assistant...',
'context' => 'Large context document...',
'prompt' => 'User question here',
'cache_control' => 'max_age=3600',
]
);
// Response includes cache usage:
// [
// 'content' => '...',
// 'cache_creation_input_tokens' => 1000,
// 'cache_read_input_tokens' => 500,
// ]
Kesh headerlari
Azure OpenAI kesh boshqaruvi uchun HTTP headerlardan foydalanadi:
Cache-Control: max_age=3600
Qo‘llab-quvvatlanadigan qiymatlar:
max_age=<seconds>: Belgilangan muddatga keshlashno_cache: Bu so‘rovni keshlamangno_store: Keshlamang va qayta ishlatmang
Keshdan foydalanishni kuzatish
$response = $azure->generate( [...] );
$cache_tokens = $response['cache_creation_input_tokens'] ?? 0;
$cache_hits = $response['cache_read_input_tokens'] ?? 0;
echo "Cache creation: $cache_tokens tokens\n";
echo "Cache hits: $cache_hits tokens\n";
Azure OpenAI uchun eng yaxshi amaliyotlar
- Izchil promptlardan foydalaning: Bir xil promptlar keshlashdan foyda ko‘radi
- Oqilona TTL belgilang: Xarajat va yangilik o‘rtasida muvozanat saqlang
- Kesh metrikalarini kuzating: Kesh yaratilishi va hitlarni kuzatib boring
- O‘xshash so‘rovlarni paketlang: Kesh hitlarini maksimal qilish uchun so‘rovlarni guruhlang
OpenRouter: Provayderga xos keshlash
OpenRouter asosiy provayderlar (OpenAI, Anthropic va boshqalar) orqali keshlashni qo‘llab-quvvatlaydi.
Konfiguratsiya
$config = [
'provider' => 'openrouter',
'model' => 'openai/gpt-4-turbo',
'caching' => [
'enabled' => true,
'provider_cache' => 'openai', // Use OpenAI's caching
],
];
OpenRouter keshlashidan foydalanish
use Superdav\AI\Providers\OpenRouter;
$router = new OpenRouter( $config );
$response = $router->generate(
[
'system_prompt' => 'You are a helpful assistant...',
'context' => 'Large context document...',
'prompt' => 'User question here',
'cache_control' => 'max_age=3600',
]
);
Provayderga xos variantlar
Turli provayderlarning keshlash mexanizmlari turlicha:
// OpenAI-compatible caching
$response = $router->generate(
[
'model' => 'openai/gpt-4-turbo',
'cache_control' => 'max_age=3600',
]
);
// Anthropic-compatible caching
$response = $router->generate(
[
'model' => 'anthropic/claude-3-opus',
'cache_control' => [
'type' => 'ephemeral',
'max_tokens' => 1000000,
],
]
);
OpenRouter uchun eng yaxshi amaliyotlar
- Provayderingizning keshlashini biling: Har bir provayderning mexanizmlari turlicha
- Keshlash xatti-harakatini sinang: Tanlangan provayderingiz bilan keshlash ishlashini tekshiring
- Xarajatlarni kuzating: Keshlashdan olingan tejashni kuzatib boring
- Izchil modellardan foydalaning: Modellarni almashtirish kesh hitlarini buzadi
Vertex Anthropic: Kesh boshqaruvi bilan Prompt Caching
Vertex Anthropic (Google Cloud) aniq kesh boshqaruvi bilan prompt cachingni qo‘llab-quvvatlaydi.
Konfiguratsiya
$config = [
'provider' => 'vertex-anthropic',
'model' => 'claude-3-opus',
'project_id' => 'your-gcp-project',
'region' => 'us-central1',
'caching' => [
'enabled' => true,
'cache_control' => [
'type' => 'ephemeral',
'max_tokens' => 1000000,
],
],
];
Vertex Anthropic keshlashidan foydalanish
use Superdav\AI\Providers\VertexAnthropic;
$vertex = new VertexAnthropic( $config );
$response = $vertex->generate(
[
'system_prompt' => 'You are a helpful assistant...',
'context' => 'Large context document...',
'prompt' => 'User question here',
'cache_control' => [
'type' => 'ephemeral',
'max_tokens' => 1000000,
],
]
);
// Response includes cache metrics:
// [
// 'content' => '...',
// 'usage' => [
// 'input_tokens' => 1000,
// 'cache_creation_input_tokens' => 500,
// 'cache_read_input_tokens' => 300,
// ],
// ]
Kesh nazorati turlari
- ephemeral: So‘rov davomida keshda saqlash (standart)
- persistent: Bir nechta so‘rovlar bo‘ylab keshda saqlash (agar qo‘llab-quvvatlansa)
Keshdan foydalanishni monitoring qilish
$response = $vertex->generate( [...] );
$usage = $response['usage'];
$cache_created = $usage['cache_creation_input_tokens'] ?? 0;
$cache_read = $usage['cache_read_input_tokens'] ?? 0;
echo "Cache created: $cache_created tokens\n";
echo "Cache read: $cache_read tokens\n";
Vertex Anthropic uchun eng yaxshi amaliyotlar
- Ephemeral keshlashdan foydalaning: Yagona sessiyali keshlash uchun yaxshi
- max_tokens ni mos ravishda belgilang: Kesh hajmi va xarajat o‘rtasida muvozanat saqlang
- Kesh metrikalarini monitoring qiling: Kesh samaradorligini kuzatib boring
- Ish yuklamangiz bilan sinab ko‘ring: Keshlash foydalanish holatingizga foyda berishini tekshiring
Provayderlararo keshlash strategiyasi
Yagona konfiguratsiya
$config = [
'caching' => [
'enabled' => true,
'default_ttl' => 3600,
'providers' => [
'google-gemini' => [
'ttl' => 3600,
'max_tokens' => 1000000,
],
'azure-openai' => [
'cache_control' => 'max_age=3600',
],
'vertex-anthropic' => [
'cache_control' => [
'type' => 'ephemeral',
'max_tokens' => 1000000,
],
],
],
],
];
Provayderni aniqlash
$provider = $config['provider'];
$cache_config = $config['caching']['providers'][ $provider ]
?? $config['caching'];
// Use provider-specific caching configuration
Zaxira strategiyasi
try {
// Try caching with primary provider
$response = $primary_provider->generate( $request );
} catch ( CacheException $e ) {
// Fall back to non-cached request
$response = $primary_provider->generate(
array_merge( $request, ['cache_control' => 'no_cache'] )
);
}
Xarajatlarni optimallashtirish
Tejashni hisoblash
$cache_created_tokens = $response['cache_creation_input_tokens'] ?? 0;
$cache_read_tokens = $response['cache_read_input_tokens'] ?? 0;
$regular_tokens = $response['input_tokens'] ?? 0;
// Typical pricing (varies by provider):
$cache_creation_cost = $cache_created_tokens * 0.00001; // 10x cheaper
$cache_read_cost = $cache_read_tokens * 0.000001; // 100x cheaper
$regular_cost = $regular_tokens * 0.00001;
$total_cost = $cache_creation_cost + $cache_read_cost + $regular_cost;
$savings = ($regular_tokens * 0.00001) - $total_cost;
echo "Estimated savings: \$$savings\n";
Optimallashtirish bo‘yicha maslahatlar
- Katta tizim promptlarini keshda saqlang: Eng katta xarajat tejalishi
- Kontekstdan qayta foydalaning: Tez-tez ishlatiladigan kontekst hujjatlarini keshda saqlang
- So‘rovlarni paketlang: Keshga tushishlarni maksimal oshirish uchun o‘xshash so‘rovlarni guruhlang
- Kesh samaradorligini monitoring qiling: Haqiqiy tejashni kuzatib boring
- TTL ni sozlang: Xarajat va yangilik o‘rtasida muvozanat saqlang
Muammolarni bartaraf etish
Kesh ishlatilmayapti
- Konfiguratsiyada keshlash yoqilganini tekshiring
- Promptlar bir xil ekanini tekshiring (keshlash aniq moslikni talab qiladi)
- Kesh muddati tugamaganini tekshiring
- Provayderga xos kesh cheklovlarini tekshiring
Kesh yaratish muvaffaqiyatsiz bo‘lmoqda
- Kesh hajmi provayder limitlari doirasida ekanini tekshiring
- Kesh nazorati sintaksisi to‘g‘ri ekanini tekshiring
- Provayder modelingiz uchun keshlashni qo‘llab-quvvatlashiga ishonch hosil qiling
- Cheklovlar uchun provayder hujjatlarini ko‘rib chiqing
Kutilmagan xarajatlar
- Kesh yaratish va keshdan o‘qish tokenlarini monitoring qiling
- Kesh haqiqatda ishlatilayotganini tekshiring
- Prompt o‘zgarishlari tufayli keshga tushmaslik holatlarini tekshiring
- TTL yoki kesh strategiyasini sozlashni ko‘rib chiqing
Provayderlarni taqqoslash
| Xususiyat | Gemini | Azure OpenAI | OpenRouter | Vertex Anthropic |
|---|---|---|---|---|
| Kesh API | cachedContents | HTTP headers | Provayderga xos | Kesh nazorati |
| TTL nazorati | Aniq | Headerlar orqali | Provayderga bog‘liq | Ephemeral/persistent |
| Maksimal kesh hajmi | 1M token | Provayderga bog‘liq | Provayderga bog‘liq | 1M token |
| Xarajat kamayishi | 90% | 90% | Provayderga bog‘liq | 90% |
| Monitoring | Batafsil | Metrikalar orqali | Provayderga bog‘liq | Foydalanish orqali |
Keyingi qadamlar
- Provayderingizni tanlang: Ehtiyojlaringiz asosida tanlang
- Keshlashni sozlang: Provayderga xos keshlashni sozlang
- Keshlashni sinab ko‘ring: Promptlaringiz bilan ishlashini tekshiring
- Foydalanishni monitoring qiling: Keshga tushishlar va xarajat tejalishini kuzatib boring
- Optimallashtiring: Natijalar asosida TTL va kesh strategiyasini sozlang