PHP code example of xp-forge / openai

    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

    

xp-forge / openai example snippets

use com\openai\{Encoding, TikTokenFilesIn};

$source= new TikTokenFilesIn('.');

// By name => [9906, 4435, 0]
$tokens= Encoding::named('cl100k_base')->load($source)->encode('Hello World!');

// By model => [13225, 5922, 0]
$tokens= Encoding::for('omni')->load($source)->encode('Hello World!');

use com\openai\rest\OpenAIEndpoint;
use util\cmd\Console;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$payload= [
  'model'    => 'gpt-4o-mini',
  'messages' => [['role' => 'user', 'content' => $prompt]],
];

Console::writeLine($ai->api('/chat/completions')->invoke($payload));

use com\openai\rest\OpenAIEndpoint;
use util\cmd\Console;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$payload= [
  'model'    => 'gpt-4o-mini',
  'messages' => [['role' => 'user', 'content' => $prompt]],
];

$stream= $ai->api('/chat/completions')->stream($payload);
foreach ($stream->deltas('content') as $delta) {
  Console::write($delta);
}
Console::writeLine();

use com\openai\rest\OpenAIEndpoint;
use util\cmd\Console;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');

Console::writeLine($ai->api('/embeddings')->invoke([
  'input' => $text,
  'model' => 'text-embedding-3-small'],
));

use com\openai\rest\OpenAIEndpoint;
use util\cmd\Console;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$payload= [
  'input' => $input,
  'voice' => 'alloy',  // or: echo, fable, onyx, nova, shimmer
  'model' => 'tts-1',
];

$stream= $ai->api('/audio/speech')->transmit($payload)->stream();
while ($stream->available()) {
  Console::write($stream->read());
}

use com\openai\rest\OpenAIEndpoint;
use io\File;
use util\cmd\Console;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$file= new File($argv[1]);

$response= $ai->api('/audio/transcriptions')
  ->open(['model', 'whisper-1'])
  ->transfer('file', $file->in(), $file->filename)
  ->finish()
;
Console::writeLine($response->value());

// ...setup code from above...

$upload= $ai->api('/audio/transcriptions')->open(['model', 'whisper-1']);

$stream= $upload->stream('file', 'audio.mp3');
while ($in->available()) {
  $stream->write($in->read());
}
$response= $upload->finish();

Console::writeLine($response->value());

use com\openai\rest\OpenAIEndpoint;
use util\log\Logging;

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$ai->setTrace(Logging::all()->toConsole());

// ...perform API calls...

use com\openai\tools\Param;
use webservices\rest\Endpoint;

class Weather {
  private $endpoint;

  public function __construct(string $base= 'https://wttr.in/') {
    $this->endpoint= new Endpoint($base);
  }

  public function in(#[Param] string $city): string {
    return $this->endpoint->resource('/{0}?0mT', [$city])->get()->content(); 
  }
}

use com\openai\rest\OpenAIEndpoint;
use com\openai\Tools;
use com\openai\tools\Functions;

$functions= (new Functions())->register('weather', new Weather());

$ai= new OpenAIEndpoint('https://'.getenv('OPENAI_API_KEY').'@api.openai.com/v1');
$payload= [
  'model'    => 'gpt-4o-mini',
  'tools'    => new Tools($functions),
  'messages' => [['role' => 'user', 'content' => $prompt]],
];

use util\cmd\Console;

// ...setup code from above...

$calls= $functions->calls()->catching(fn($t) => $t->printStackTrace());
complete: $result= $ai->api('/chat/completions')->invoke($payload));

// If tool calls are requested, invoke them and return to next completion cycle
if ('tool_calls' === ($result['choices'][0]['finish_reason'] ?? null)) {
  $payload['messages'][]= $result['choices'][0]['message'];
  
  foreach ($result['choices'][0]['message']['tool_calls'] as $call) {
    $return= $calls->call($call['function']['name'], $call['function']['arguments']);
    $payload['messages'][]= [
      'role'         => 'tool',
      'tool_call_id' => $call['id'],
      'content'      => $return,
    ];
  }

  goto complete;
}

// Print out final result
Console::writeLine($result);

use com\mongodb\{Collection, Document, ObjectId};
use com\openai\tools\{Context, Param};

// Declaration
class Memory {

  public function __construct(private Collection $facts) { }

  public function store(#[Context] Document $user, #[Param] string $fact): ObjectId {
    return $this->facts->insert(new Document(['owner' => $user->id(), 'fact' => $fact]))->id();
  }
}

// ...shortened for brevity...

$context= ['user' => $user];
$return= $calls->call($call['function']['name'], $call['function']['arguments'], $context);

use com\openai\rest\AzureAIEndpoint;
use util\cmd\Console;

$ai= new AzureAIEndpoint(
  'https://'.getenv('AZUREAI_API_KEY').'@example.openai.azure.com/openai/deployments/mini',
  '2024-02-01'
);
$payload= [
  'model'    => 'gpt-4o-mini',
  'messages' => [['role' => 'user', 'content' => $prompt]],
];

Console::writeLine($ai->api('/chat/completions')->invoke($payload));

use com\openai\rest\{AzureAIEndpoint, Distributed, ByRemainingRequests};
use util\cmd\Console;

$endpoints= [
  new AzureAIEndpoint('https://[email protected]/openai/deployments/mini', '2024-02-01'),
  new AzureAIEndpoint('https://[email protected]/openai/deployments/mini', '2024-02-01'),
];

$ai= new Distributed($endpoints, new ByRemainingRequests());
$payload= [
  'model'    => 'gpt-4o-mini',
  'messages' => [['role' => 'user', 'content' => $prompt]],
];

Console::writeLine($ai->api('/chat/completions')->invoke($payload));
foreach ($endpoints as $i => $endpoint) {
  Console::writeLine('Endpoint #', $i, ': ', $endpoint->rateLimit());
}