Official PHP SDK for cachly.dev – Managed Valkey/Redis cache.
GDPR-compliant · German servers · Live in 30 seconds
composer require cachly/sdkRequires PHP ≥ 8.1 and
predis/predis ^2.2.
use Cachly\CachlyClient;
$cache = new CachlyClient('redis://:your-password@my-instance.cachly.dev:6379');
// Set a value with TTL
$cache->set('user:42', ['name' => 'Alice', 'plan' => 'pro'], ttl: 300);
// Get a value
$user = $cache->get('user:42'); // ['name' => 'Alice', 'plan' => 'pro']
// Check existence
if ($cache->exists('user:42')) { ... }
// TTL refresh
$cache->expire('user:42', 600);
// Atomic counter
$count = $cache->incr('page:views');
// Delete
$cache->del('user:42');$data = $cache->getOrSet(
key: 'expensive:report',
fn: fn() => $db->runExpensiveReport(),
ttl: 60,
);Cache LLM responses by meaning, not just exact key. Cut OpenAI costs by 60%.
use Cachly\CachlyClient;
$cache = new CachlyClient(getenv('CACHLY_URL'));
$openai = new OpenAI\Client(getenv('OPENAI_API_KEY'));
$embedFn = fn(string $text) => $openai
->embeddings()
->create(['model' => 'text-embedding-3-small', 'input' => $text])
->data[0]->embedding;
$result = $cache->semantic()->getOrSet(
prompt: $userQuestion,
fn: fn() => $openai->chat($userQuestion),
embedFn: $embedFn,
similarityThreshold: 0.90,
ttl: 3600,
);
echo $result->hit
? "⚡ Cache hit (similarity={$result->similarity})"
: "🔄 Fresh from LLM";
echo $result->value;// config/cachly.php
return ['url' => env('CACHLY_URL')];
// AppServiceProvider
$this->app->singleton(CachlyClient::class, fn() => new CachlyClient(config('cachly.url')));
// In a controller / service
public function __construct(private CachlyClient $cache) {}| Method | Description |
|---|---|
get(string $key) |
Get a value (null if not found) |
set(string $key, mixed $value, ?int $ttl) |
Set a value |
del(string ...$keys): int |
Delete keys, returns count |
exists(string $key): bool |
Check existence |
expire(string $key, int $seconds) |
Update TTL |
incr(string $key): int |
Atomic increment |
getOrSet(string $key, callable $fn, ?int $ttl) |
Get-or-set pattern |
semantic(): SemanticCache |
Access semantic cache helper |
raw(): PredisClient |
Direct Predis access |
Bundle GET/SET/DEL/EXISTS/TTL operations into one HTTP request or Predis pipeline.
use Cachly\CachlyClient;
use Cachly\BatchOp;
$cache = new CachlyClient(
url: $_ENV['CACHLY_URL'],
batchUrl: $_ENV['CACHLY_BATCH_URL'] ?? null, // optional
);
$results = $cache->batch([
BatchOp::get('user:1'),
BatchOp::get('config:app'),
BatchOp::set('visits', '42', ttl: 86400),
BatchOp::exists('session:xyz'),
BatchOp::ttl('token:abc'),
]);
$user = $results[0]->value; // string|null
$ok = $results[2]->ok; // bool
$found = $results[3]->exists; // bool
$secs = $results[4]->ttlSeconds; // int (-1 = no TTL, -2 = key missing)CACHLY_URL=redis://:your-password@my-app.cachly.dev:30101
CACHLY_BATCH_URL=https://api.cachly.dev/v1/cache/YOUR_TOKEN # optional
# Speed / Business tier – Semantic AI Cache:
CACHLY_VECTOR_URL=https://api.cachly.dev/v1/sem/your-vector-tokenFind both values in your cachly.dev dashboard.
cachly ships a 30-tool MCP server that gives Claude Code, Cursor, GitHub Copilot, and Windsurf a persistent memory across sessions.
npx @cachly-dev/initsession_start(instance_id, focus) returns a full briefing in one call: last session summary, relevant lessons, open failures, brain health.
→ Full docs: cachly.dev/docs/ai-memory
MIT © cachly.dev