openai.php
1060 lines
| 1 | <?php |
| 2 | |
| 3 | class Meow_MWAI_Engines_OpenAI extends Meow_MWAI_Engines_Core |
| 4 | { |
| 5 | // Base (OpenAI) |
| 6 | protected $apiKey = null; |
| 7 | protected $endpoint = null; |
| 8 | |
| 9 | // Azure |
| 10 | private $azureDeployments = null; |
| 11 | private $azureApiVersion = 'api-version=2023-12-01-preview'; |
| 12 | |
| 13 | // Response |
| 14 | protected $inModel = null; |
| 15 | protected $inId = null; |
| 16 | |
| 17 | // Streaming |
| 18 | private $streamTemporaryBuffer = ""; |
| 19 | private $streamBuffer = ""; |
| 20 | private $streamContent = ""; |
| 21 | private $streamFunctionCall = null; |
| 22 | private $streamCallback = null; |
| 23 | |
| 24 | public function __construct( $core, $env ) |
| 25 | { |
| 26 | parent::__construct( $core, $env ); |
| 27 | $this->set_environment(); |
| 28 | } |
| 29 | |
| 30 | protected function set_environment() { |
| 31 | $env = $this->env; |
| 32 | $this->apiKey = $env['apikey']; |
| 33 | if ( $this->envType === 'openai' ) { |
| 34 | $this->endpoint = apply_filters( 'mwai_openai_endpoint', 'https://api.openai.com/v1', $this->env ); |
| 35 | } |
| 36 | else if ( $this->envType === 'azure' ) { |
| 37 | $this->endpoint = isset( $env['endpoint'] ) ? $env['endpoint'] : null; |
| 38 | $this->azureDeployments = isset( $env['deployments'] ) ? $env['deployments'] : []; |
| 39 | $this->azureDeployments[] = [ 'model' => 'dall-e', 'name' => 'dall-e' ]; |
| 40 | } |
| 41 | else { |
| 42 | throw new Exception( 'Unknown environment type: ' . $this->envType ); |
| 43 | } |
| 44 | } |
| 45 | |
| 46 | private function get_azure_deployment_name( $model ) { |
| 47 | foreach ( $this->azureDeployments as $deployment ) { |
| 48 | if ( $deployment['model'] === $model && !empty( $deployment['name'] ) ) { |
| 49 | return $deployment['name']; |
| 50 | } |
| 51 | } |
| 52 | throw new Exception( 'Unknown deployment for model: ' . $model ); |
| 53 | } |
| 54 | |
| 55 | protected function get_service_name() { |
| 56 | return $this->envType === 'azure' ? 'Azure' : 'OpenAI'; |
| 57 | } |
| 58 | |
| 59 | // Check for a JSON-formatted error in the data, and throw an exception if it's the case. |
| 60 | function check_for_error( $data ) { |
| 61 | if ( strpos( $data, 'error' ) === false ) { |
| 62 | return; |
| 63 | } |
| 64 | if ( strpos( $data, 'data: ' ) === 0 ) { |
| 65 | $jsonPart = substr( $data, strlen( 'data: ' ) ); |
| 66 | } |
| 67 | else { |
| 68 | $jsonPart = $data; |
| 69 | } |
| 70 | $json = json_decode( $jsonPart, true ); |
| 71 | if ( json_last_error() === JSON_ERROR_NONE ) { |
| 72 | if ( isset( $json['error'] ) ) { |
| 73 | $error = $json['error']; |
| 74 | $code = $error['code']; |
| 75 | $message = $error['message']; |
| 76 | throw new Exception( "Error $code: $message" ); |
| 77 | } |
| 78 | } |
| 79 | } |
| 80 | |
| 81 | private function build_prompt( $query ) { |
| 82 | $prompt = ""; |
| 83 | if ( $query->mode === 'chat' ) { |
| 84 | $prompt = $query->instructions . "\n\n"; |
| 85 | foreach ( $query->messages as $message ) { |
| 86 | $role = $message['role']; |
| 87 | $content = $message['content']; |
| 88 | if ( $role === 'system' ) { |
| 89 | $prompt .= "$content\n\n"; |
| 90 | } |
| 91 | if ( $role === 'user' ) { |
| 92 | $prompt .= "User: $content\n"; |
| 93 | } |
| 94 | if ( $role === 'assistant' ) { |
| 95 | $prompt .= "AI: $content\n"; |
| 96 | } |
| 97 | } |
| 98 | $prompt .= "AI: "; |
| 99 | } |
| 100 | else if ( $query->mode === 'completion' ) { |
| 101 | $prompt = $query->get_message(); |
| 102 | } |
| 103 | return $prompt; |
| 104 | } |
| 105 | |
| 106 | private function build_messages( $query ) { |
| 107 | $messages = []; |
| 108 | |
| 109 | // First, we need to add the first message (the instructions). |
| 110 | if ( !empty( $query->instructions ) ) { |
| 111 | $messages[] = [ 'role' => 'system', 'content' => $query->instructions ]; |
| 112 | } |
| 113 | |
| 114 | // Then, if any, we need to add the 'messages', they are already formatted. |
| 115 | foreach ( $query->messages as $message ) { |
| 116 | $messages[] = $message; |
| 117 | } |
| 118 | |
| 119 | // If there is a context, we need to add it. |
| 120 | if ( !empty( $query->context ) ) { |
| 121 | $messages[] = [ 'role' => 'system', 'content' => $query->context ]; |
| 122 | } |
| 123 | |
| 124 | // Finally, we need to add the message, but if there is an image, we need to add it as a system message. |
| 125 | $fileUrl = $query->get_file_url(); |
| 126 | if ( !empty( $fileUrl ) ) { |
| 127 | $messages[] = [ |
| 128 | 'role' => 'user', |
| 129 | 'content' => [ |
| 130 | [ |
| 131 | "type" => "text", |
| 132 | "text" => $query->get_message() |
| 133 | ], |
| 134 | [ |
| 135 | "type" => "image_url", |
| 136 | "image_url" => [ "url" => $fileUrl ] |
| 137 | ] |
| 138 | ] |
| 139 | ]; |
| 140 | } |
| 141 | else { |
| 142 | $messages[] = [ 'role' => 'user', 'content' => $query->get_message() ]; |
| 143 | } |
| 144 | |
| 145 | return $messages; |
| 146 | } |
| 147 | |
| 148 | /* |
| 149 | This used to be in the core.php, but since it's relative to OpenAI, it's better to have it here. |
| 150 | */ |
| 151 | |
| 152 | public function stream_handler( $handle, $args, $url ) { |
| 153 | curl_setopt( $handle, CURLOPT_SSL_VERIFYPEER, false ); |
| 154 | curl_setopt( $handle, CURLOPT_SSL_VERIFYHOST, false ); |
| 155 | |
| 156 | // Maybe we could get some info from headers, as for now, there is only the model. |
| 157 | // curl_setopt( $handle, CURLOPT_HEADERFUNCTION, function( $curl, $headerLine ) { |
| 158 | // $line = trim( $headerLine ); |
| 159 | // return strlen( $headerLine ); |
| 160 | // }); |
| 161 | |
| 162 | curl_setopt( $handle, CURLOPT_WRITEFUNCTION, function ( $curl, $data ) { |
| 163 | $length = strlen( $data ); |
| 164 | |
| 165 | // FOR DEBUG: |
| 166 | // preg_match_all( '/"content":"(.*?)"/', $data, $matches ); |
| 167 | // $contents = $matches[1]; |
| 168 | // foreach ( $contents as $content ) { |
| 169 | // error_log( "Content: $content" ); |
| 170 | // } |
| 171 | |
| 172 | // Error Management |
| 173 | $this->check_for_error( $data ); |
| 174 | |
| 175 | // Bufferize the unfinished stream (if it's the case) |
| 176 | $this->streamTemporaryBuffer .= $data; |
| 177 | $this->streamBuffer .= $data; |
| 178 | $lines = explode( "\n", $this->streamTemporaryBuffer ); |
| 179 | if ( substr( $this->streamTemporaryBuffer, -1 ) !== "\n" ) { |
| 180 | $this->streamTemporaryBuffer = array_pop( $lines ); |
| 181 | } |
| 182 | else { |
| 183 | $this->streamTemporaryBuffer = ""; |
| 184 | } |
| 185 | |
| 186 | foreach ( $lines as $line ) { |
| 187 | if ( $line === "" ) { |
| 188 | continue; |
| 189 | } |
| 190 | if ( strpos( $line, 'data: ' ) === 0 ) { |
| 191 | $line = substr( $line, 6 ); |
| 192 | $json = json_decode( $line, true ); |
| 193 | |
| 194 | if ( json_last_error() === JSON_ERROR_NONE ) { |
| 195 | $content = null; |
| 196 | |
| 197 | // Get additional data from the JSON |
| 198 | if ( isset( $json['model'] ) ) { |
| 199 | $this->inModel = $json['model']; |
| 200 | } |
| 201 | if ( isset( $json['id'] ) ) { |
| 202 | $this->inId = $json['id']; |
| 203 | } |
| 204 | |
| 205 | // Get the content |
| 206 | if ( isset( $json['choices'][0]['text'] ) ) { |
| 207 | $content = $json['choices'][0]['text']; |
| 208 | } |
| 209 | else if ( isset( $json['choices'][0]['delta']['content'] ) ) { |
| 210 | $content = $json['choices'][0]['delta']['content']; |
| 211 | } |
| 212 | else if ( isset( $json['choices'][0]['delta']['function_call'] ) ) { |
| 213 | $function_call = $json['choices'][0]['delta']['function_call']; |
| 214 | if ( empty( $this->streamFunctionCall ) ) { |
| 215 | $this->streamFunctionCall = [ 'name' => "", 'arguments' => "" ]; |
| 216 | } |
| 217 | if ( isset( $function_call['name'] ) ) { |
| 218 | $this->streamFunctionCall['name'] .= $function_call['name']; |
| 219 | } |
| 220 | if ( isset( $function_call['arguments'] ) ) { |
| 221 | $this->streamFunctionCall['arguments'] .= $function_call['arguments']; |
| 222 | } |
| 223 | } |
| 224 | if ( $content !== null && $content !== "" ) { |
| 225 | $this->streamContent .= $content; |
| 226 | call_user_func( $this->streamCallback, $content ); |
| 227 | } |
| 228 | } |
| 229 | else { |
| 230 | $this->streamTemporaryBuffer .= $line . "\n"; |
| 231 | } |
| 232 | } |
| 233 | } |
| 234 | return $length; |
| 235 | }); |
| 236 | } |
| 237 | |
| 238 | protected function build_headers( $query ) { |
| 239 | if ( $query->apiKey ) { |
| 240 | $this->apiKey = $query->apiKey; |
| 241 | } |
| 242 | if ( empty( $this->apiKey ) ) { |
| 243 | throw new Exception( 'No API Key provided. Please visit the Settings.' ); |
| 244 | } |
| 245 | $headers = array( |
| 246 | 'Content-Type' => 'application/json', |
| 247 | 'Authorization' => 'Bearer ' . $this->apiKey, |
| 248 | ); |
| 249 | if ( $this->envType === 'azure' ) { |
| 250 | $headers = array( 'Content-Type' => 'application/json', 'api-key' => $this->apiKey ); |
| 251 | } |
| 252 | return $headers; |
| 253 | } |
| 254 | |
| 255 | protected function build_options( $headers, $json = null, $forms = null, $method = 'POST' ) { |
| 256 | $body = null; |
| 257 | if ( !empty( $forms ) ) { |
| 258 | $boundary = wp_generate_password ( 24, false ); |
| 259 | $headers['Content-Type'] = 'multipart/form-data; boundary=' . $boundary; |
| 260 | $body = $this->build_form_body( $forms, $boundary ); |
| 261 | } |
| 262 | else if ( !empty( $json ) ) { |
| 263 | $body = json_encode( $json ); |
| 264 | } |
| 265 | $options = array( |
| 266 | 'headers' => $headers, |
| 267 | 'method' => $method, |
| 268 | 'timeout' => MWAI_TIMEOUT, |
| 269 | 'body' => $body, |
| 270 | 'sslverify' => false |
| 271 | ); |
| 272 | return $options; |
| 273 | } |
| 274 | |
| 275 | public function run_query( $url, $options, $isStream = false ) { |
| 276 | try { |
| 277 | $options['stream'] = $isStream; |
| 278 | if ( $isStream ) { |
| 279 | $options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' ); |
| 280 | } |
| 281 | $res = wp_remote_get( $url, $options ); |
| 282 | |
| 283 | if ( is_wp_error( $res ) ) { |
| 284 | throw new Exception( $res->get_error_message() ); |
| 285 | } |
| 286 | |
| 287 | if ( $isStream ) { |
| 288 | return [ 'stream' => true ]; |
| 289 | } |
| 290 | |
| 291 | $response = wp_remote_retrieve_body( $res ); |
| 292 | $headersRes = wp_remote_retrieve_headers( $res ); |
| 293 | $headers = $headersRes->getAll(); |
| 294 | |
| 295 | // Check if Content-Type is 'multipart/form-data' or 'text/plain' |
| 296 | // If so, we don't need to decode the response |
| 297 | $normalizedHeaders = array_change_key_case( $headers, CASE_LOWER ); |
| 298 | $resContentType = $normalizedHeaders['content-type'] ?? ''; |
| 299 | if ( strpos( $resContentType, 'multipart/form-data' ) !== false || strpos( $resContentType, 'text/plain' ) !== false ) { |
| 300 | return [ 'stream' => false, 'headers' => $headers, 'data' => $response ]; |
| 301 | } |
| 302 | |
| 303 | $data = json_decode( $response, true ); |
| 304 | $this->handle_response_errors( $data ); |
| 305 | return [ 'headers' => $headers, 'data' => $data ]; |
| 306 | } |
| 307 | catch ( Exception $e ) { |
| 308 | error_log( $e->getMessage() ); |
| 309 | throw $e; |
| 310 | } |
| 311 | } |
| 312 | |
| 313 | private function get_audio( $url ) { |
| 314 | require_once( ABSPATH . 'wp-admin/includes/media.php' ); |
| 315 | $tmpFile = tempnam( sys_get_temp_dir(), 'audio_' ); |
| 316 | file_put_contents( $tmpFile, file_get_contents( $url ) ); |
| 317 | $length = null; |
| 318 | $metadata = wp_read_audio_metadata( $tmpFile ); |
| 319 | if ( isset( $metadata['length'] ) ) { |
| 320 | $length = $metadata['length']; |
| 321 | } |
| 322 | $data = file_get_contents( $tmpFile ); |
| 323 | unlink( $tmpFile ); |
| 324 | return [ 'data' => $data, 'length' => $length ]; |
| 325 | } |
| 326 | |
| 327 | public function run_transcribe_query( $query ) { |
| 328 | $modeEndpoint = $query->mode === 'translation' ? 'translations' : 'transcriptions'; |
| 329 | $url = 'https://api.openai.com/v1/audio/' . $modeEndpoint; |
| 330 | |
| 331 | // Check if the URL is valid. |
| 332 | if ( !filter_var( $query->url, FILTER_VALIDATE_URL ) ) { |
| 333 | throw new Exception( 'Invalid URL for transcription.' ); |
| 334 | } |
| 335 | |
| 336 | $audioData = $this->get_audio( $query->url ); |
| 337 | $body = array( |
| 338 | 'prompt' => $query->message, |
| 339 | 'model' => $query->model, |
| 340 | 'response_format' => 'text', |
| 341 | 'file' => basename( $query->url ), |
| 342 | 'data' => $audioData['data'] |
| 343 | ); |
| 344 | $headers = $this->build_headers( $query ); |
| 345 | $options = $this->build_options( $headers, null, $body ); |
| 346 | |
| 347 | // Perform the request |
| 348 | try { |
| 349 | $res = $this->run_query( $url, $options ); |
| 350 | $data = $res['data']; |
| 351 | if ( empty( $data ) ) { |
| 352 | throw new Exception( 'Invalid data for transcription.' ); |
| 353 | } |
| 354 | $this->check_for_error( $data ); |
| 355 | $usage = $this->core->record_audio_usage( $query->model, $audioData['length'] ); |
| 356 | $reply = new Meow_MWAI_Reply( $query ); |
| 357 | $reply->set_usage( $usage ); |
| 358 | $reply->set_choices( $data ); |
| 359 | return $reply; |
| 360 | } |
| 361 | catch ( Exception $e ) { |
| 362 | error_log( $e->getMessage() ); |
| 363 | $service = $this->get_service_name(); |
| 364 | throw new Exception( "From $service: " . $e->getMessage() ); |
| 365 | } |
| 366 | } |
| 367 | |
| 368 | public function run_embedding_query( $query ) { |
| 369 | $url = 'https://api.openai.com/v1/embeddings'; |
| 370 | $body = array( 'input' => $query->message, 'model' => $query->model ); |
| 371 | if ( $this->envType === 'azure' ) { |
| 372 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 373 | $url = trailingslashit( $this->endpoint ) . 'openai/deployments/' . |
| 374 | $deployment_name . '/embeddings?' . $this->azureApiVersion; |
| 375 | $body = array( "input" => $query->message ); |
| 376 | } |
| 377 | $headers = $this->build_headers( $query ); |
| 378 | $options = $this->build_options( $headers, $body ); |
| 379 | |
| 380 | try { |
| 381 | $res = $this->run_query( $url, $options ); |
| 382 | $data = $res['data']; |
| 383 | if ( empty( $data ) || !isset( $data['data'] ) ) { |
| 384 | throw new Exception( 'Invalid data for embedding.' ); |
| 385 | } |
| 386 | $usage = $data['usage']; |
| 387 | $this->core->record_tokens_usage( $query->model, $usage['prompt_tokens'] ); |
| 388 | $reply = new Meow_MWAI_Reply( $query ); |
| 389 | $reply->set_usage( $usage ); |
| 390 | $reply->set_choices( $data['data'] ); |
| 391 | return $reply; |
| 392 | } |
| 393 | catch ( Exception $e ) { |
| 394 | error_log( $e->getMessage() ); |
| 395 | $service = $this->get_service_name(); |
| 396 | throw new Exception( "From $service: " . $e->getMessage() ); |
| 397 | } |
| 398 | } |
| 399 | |
| 400 | public function run_completion_query( $query, $streamCallback = null ) : Meow_MWAI_Reply { |
| 401 | if ( !is_null( $streamCallback ) ) { |
| 402 | $this->streamCallback = $streamCallback; |
| 403 | add_action( 'http_api_curl', array( $this, 'stream_handler' ), 10, 3 ); |
| 404 | } |
| 405 | if ( $query->mode !== 'chat' && $query->mode !== 'completion' ) { |
| 406 | throw new Exception( 'Unknown mode for query: ' . $query->mode ); |
| 407 | } |
| 408 | |
| 409 | $body = array( |
| 410 | "model" => $query->model, |
| 411 | "n" => $query->maxResults, |
| 412 | "max_tokens" => $query->maxTokens, |
| 413 | "temperature" => $query->temperature, |
| 414 | "stream" => !is_null( $streamCallback ), |
| 415 | ); |
| 416 | |
| 417 | if ( !empty( $query->stop ) ) { |
| 418 | $body['stop'] = $query->stop; |
| 419 | } |
| 420 | |
| 421 | if ( !empty( $query->responseFormat ) ) { |
| 422 | if ( $query->responseFormat === 'json' ) { |
| 423 | $body['response_format'] = [ 'type' => 'json_object' ]; |
| 424 | } |
| 425 | } |
| 426 | |
| 427 | if ( !empty( $query->functions ) ) { |
| 428 | if ( strpos( $query->model, 'ft:' ) === 0 ) { |
| 429 | throw new Exception( 'OpenAI doesn\'t support Function Calling with fine-tuned models yet.' ); |
| 430 | } |
| 431 | $body['functions'] = $query->functions; |
| 432 | $body['function_call'] = $query->functionCall; |
| 433 | } |
| 434 | if ( $query->mode === 'chat' ) { |
| 435 | $body['messages'] = $this->build_messages( $query ); |
| 436 | } |
| 437 | else if ( $query->mode === 'completion' ) { |
| 438 | $body['prompt'] = $this->build_prompt( $query ); |
| 439 | } |
| 440 | |
| 441 | $url = $this->endpoint; |
| 442 | if ( $this->envType === 'azure' ) { |
| 443 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 444 | $url = trailingslashit( $this->endpoint ) . 'openai/deployments/' . $deployment_name; |
| 445 | if ( $query->mode === 'chat' ) { |
| 446 | $url .= '/chat/completions?' . $this->azureApiVersion; |
| 447 | } |
| 448 | else if ($query->mode === 'completion') { |
| 449 | $url .= '/completions?' . $this->azureApiVersion; |
| 450 | } |
| 451 | } |
| 452 | else { |
| 453 | if ( $query->mode === 'chat' ) { |
| 454 | $url .= '/chat/completions'; |
| 455 | } |
| 456 | else if ( $query->mode === 'completion' ) { |
| 457 | $url .= '/completions'; |
| 458 | } |
| 459 | } |
| 460 | |
| 461 | $headers = $this->build_headers( $query ); |
| 462 | $options = $this->build_options( $headers, $body ); |
| 463 | |
| 464 | try { |
| 465 | $res = $this->run_query( $url, $options, $streamCallback ); |
| 466 | $reply = new Meow_MWAI_Reply( $query ); |
| 467 | |
| 468 | $returned_id = null; |
| 469 | $returned_model = $this->inModel; |
| 470 | $returned_in_tokens = null; |
| 471 | $returned_out_tokens = null; |
| 472 | $returned_choices = []; |
| 473 | |
| 474 | if ( !is_null( $streamCallback ) ) { |
| 475 | // Streamed data |
| 476 | if ( empty( $this->streamContent ) ) { |
| 477 | $json = json_decode( $this->streamBuffer, true ); |
| 478 | if ( isset( $json['error']['message'] ) ) { |
| 479 | throw new Exception( $json['error']['message'] ); |
| 480 | } |
| 481 | } |
| 482 | $returned_id = $this->inId; |
| 483 | $returned_model = $this->inModel ? $this->inModel : $query->model; |
| 484 | $returned_choices = [ |
| 485 | [ |
| 486 | 'message' => [ |
| 487 | 'content' => $this->streamContent, |
| 488 | 'function_call' => $this->streamFunctionCall |
| 489 | ] |
| 490 | ] |
| 491 | ]; |
| 492 | } |
| 493 | else { |
| 494 | // Regular data |
| 495 | $data = $res['data']; |
| 496 | if ( empty( $data ) ) { |
| 497 | throw new Exception( 'No content received (res is null).' ); |
| 498 | } |
| 499 | if ( !$data['model'] ) { |
| 500 | error_log( print_r( $data, 1 ) ); |
| 501 | throw new Exception( 'Invalid response (no model information).' ); |
| 502 | } |
| 503 | $returned_id = $data['id']; |
| 504 | $returned_model = $data['model']; |
| 505 | $returned_in_tokens = isset( $data['usage']['prompt_tokens'] ) ? $data['usage']['prompt_tokens'] : null; |
| 506 | $returned_out_tokens = isset( $data['usage']['completion_tokens'] ) ? $data['usage']['completion_tokens'] : null; |
| 507 | $returned_choices = $data['choices']; |
| 508 | } |
| 509 | |
| 510 | // Set the results. |
| 511 | $reply->set_choices( $returned_choices ); |
| 512 | if ( !empty( $returned_id ) ) { |
| 513 | $reply->set_id( $returned_id ); |
| 514 | } |
| 515 | |
| 516 | // Handle tokens. |
| 517 | $this->handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens ); |
| 518 | |
| 519 | return $reply; |
| 520 | } |
| 521 | catch ( Exception $e ) { |
| 522 | error_log( $e->getMessage() ); |
| 523 | $service = $this->get_service_name(); |
| 524 | $message = "From $service: " . $e->getMessage(); |
| 525 | throw new Exception( $message ); |
| 526 | } |
| 527 | } |
| 528 | |
| 529 | public function handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens ) { |
| 530 | $returned_in_tokens = !is_null( $returned_in_tokens ) ? $returned_in_tokens : $reply->get_in_tokens( $query ); |
| 531 | $returned_out_tokens = !is_null( $returned_out_tokens ) ? $returned_out_tokens : $reply->get_out_tokens(); |
| 532 | $usage = $this->core->record_tokens_usage( $returned_model, $returned_in_tokens, $returned_out_tokens ); |
| 533 | $reply->set_usage( $usage ); |
| 534 | } |
| 535 | |
| 536 | // Request to DALL-E API |
| 537 | public function run_images_query( $query ) { |
| 538 | $url = 'https://api.openai.com/v1/images/generations'; |
| 539 | $model = $query->model; |
| 540 | $resolution = !empty( $query->resolution ) ? $query->resolution : '1024x1024'; |
| 541 | $body = array( |
| 542 | "prompt" => $query->message, |
| 543 | "n" => $query->maxResults, |
| 544 | "size" => $resolution, |
| 545 | ); |
| 546 | if ( $model === 'dall-e-3' ) { |
| 547 | $body['model'] = 'dall-e-3'; |
| 548 | } |
| 549 | if ( $model === 'dall-e-3-hd' ) { |
| 550 | $body['model'] = 'dall-e-3'; |
| 551 | $body['quality'] = 'hd'; |
| 552 | } |
| 553 | if ( !empty( $query->style ) && strpos( $model, 'dall-e-3' ) === 0 ) { |
| 554 | $body['style'] = $query->style; |
| 555 | } |
| 556 | if ( $this->envType === 'azure' ) { |
| 557 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 558 | $url = trailingslashit( $this->endpoint ) . 'openai/deployments/' . |
| 559 | $deployment_name . '/images/generations?' . $this->azureApiVersion; |
| 560 | } |
| 561 | $headers = $this->build_headers( $query ); |
| 562 | $options = $this->build_options( $headers, $body ); |
| 563 | |
| 564 | try { |
| 565 | $res = $this->run_query( $url, $options ); |
| 566 | $data = $res['data']; |
| 567 | $choices = []; |
| 568 | if ( $this->envType === 'azure' ) { |
| 569 | foreach ( $data['data'] as $entry ) { |
| 570 | $choices[] = [ 'url' => $entry['url'] ]; |
| 571 | } |
| 572 | } |
| 573 | else { |
| 574 | $choices = $data['data']; |
| 575 | } |
| 576 | |
| 577 | $reply = new Meow_MWAI_Reply( $query ); |
| 578 | $usage = $this->core->record_images_usage( $model, $resolution, $query->maxResults ); |
| 579 | $reply->set_usage( $usage ); |
| 580 | $reply->set_choices( $choices ); |
| 581 | $reply->set_type( 'images' ); |
| 582 | |
| 583 | // Transfer the images to the local server if needed. |
| 584 | $localDownload = $this->core->get_option( 'image_local_download' ); |
| 585 | if ( $localDownload === 'uploads' || $localDownload === 'library' ) { |
| 586 | foreach ( $reply->results as &$result ) { |
| 587 | $fileId = $this->core->files->upload_file( $result, null, 'generated', [ |
| 588 | 'query_envId' => $query->envId, |
| 589 | 'query_session' => $query->session, |
| 590 | 'query_model' => $query->model, |
| 591 | ], $query->envId ); |
| 592 | $fileUrl = $this->core->files->get_url( $fileId ); |
| 593 | $result = $fileUrl; |
| 594 | } |
| 595 | } |
| 596 | $reply->result = $reply->results[0]; |
| 597 | return $reply; |
| 598 | } |
| 599 | catch ( Exception $e ) { |
| 600 | error_log( $e->getMessage() ); |
| 601 | $service = $this->get_service_name(); |
| 602 | throw new Exception( "From $service: " . $e->getMessage() ); |
| 603 | } |
| 604 | } |
| 605 | |
| 606 | /* |
| 607 | This is the rest of the OpenAI API support, not related to the models directly. |
| 608 | */ |
| 609 | |
| 610 | // Check if there are errors in the response from OpenAI, and throw an exception if so. |
| 611 | public function handle_response_errors( $data ) { |
| 612 | if ( isset( $data['error'] ) ) { |
| 613 | $message = $data['error']['message']; |
| 614 | if ( preg_match( '/API key provided(: .*)\./', $message, $matches ) ) { |
| 615 | $message = str_replace( $matches[1], '', $message ); |
| 616 | } |
| 617 | throw new Exception( $message ); |
| 618 | } |
| 619 | } |
| 620 | |
| 621 | public function list_files() |
| 622 | { |
| 623 | return $this->execute( 'GET', '/files' ); |
| 624 | } |
| 625 | |
| 626 | static function get_suffix_for_model($model) |
| 627 | { |
| 628 | // Legacy fine-tuned models |
| 629 | preg_match( "/:([a-zA-Z0-9\-]{1,40})-([0-9]{4})-([0-9]{2})-([0-9]{2})/", $model, $matches); |
| 630 | if ( count( $matches ) > 0 ) { |
| 631 | return $matches[1]; |
| 632 | } |
| 633 | |
| 634 | // New fine-tuned models |
| 635 | preg_match("/:([^:]+)(?=:[^:]+$)/", $model, $matches); |
| 636 | if (count($matches) > 0) { |
| 637 | return $matches[1]; |
| 638 | } |
| 639 | |
| 640 | return 'N/A'; |
| 641 | } |
| 642 | |
| 643 | static function get_finetune_base_model($model) |
| 644 | { |
| 645 | // New fine-tuned models |
| 646 | preg_match("/^ft:([^:]+):/", $model, $matches); |
| 647 | if (count($matches) > 0) { |
| 648 | if ( preg_match( '/^gpt-3.5/', $matches[1] ) ) { |
| 649 | return "gpt-3.5-turbo"; |
| 650 | } |
| 651 | else if ( preg_match( '/^gpt-4/', $matches[1] ) ) { |
| 652 | return "gpt-4"; |
| 653 | } |
| 654 | return $matches[1]; |
| 655 | } |
| 656 | |
| 657 | // Legacy fine-tuned models |
| 658 | preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches ); |
| 659 | if ( count( $matches ) > 0 ) { |
| 660 | return $matches[1]; |
| 661 | } |
| 662 | |
| 663 | return null; |
| 664 | } |
| 665 | |
| 666 | public function list_deleted_finetunes( $envId = null, $legacy = false ) |
| 667 | { |
| 668 | $finetunes = $this->list_finetunes( $legacy ); |
| 669 | $deleted = []; |
| 670 | |
| 671 | foreach ( $finetunes as $finetune ) { |
| 672 | $name = $finetune['model']; |
| 673 | $isSucceeded = $finetune['status'] === 'succeeded'; |
| 674 | if ( $isSucceeded ) { |
| 675 | try { |
| 676 | $finetune = $this->get_model( $name ); |
| 677 | } |
| 678 | catch ( Exception $e ) { |
| 679 | $deleted[] = $name; |
| 680 | } |
| 681 | } |
| 682 | } |
| 683 | if ( $legacy ) { |
| 684 | $this->core->update_ai_env( $this->envId, 'legacy_finetunes_deleted', $deleted ); |
| 685 | } |
| 686 | else { |
| 687 | $this->core->update_ai_env( $this->envId, 'finetunes_deleted', $deleted ); |
| 688 | } |
| 689 | return $deleted; |
| 690 | } |
| 691 | |
| 692 | // public function listModels() { |
| 693 | // $res = $this->execute( 'GET', '/models' ); |
| 694 | // // TODO: Not used by the UI. |
| 695 | // throw new Exception( 'Not implemented yet.' ); |
| 696 | // } |
| 697 | |
| 698 | // TODO: This was used to retrieve the fine-tuned models, but not sure this is how we should |
| 699 | // retrieve all the models since Summer 2023, let's see! WIP. |
| 700 | public function list_finetunes( $legacy = false ) |
| 701 | { |
| 702 | if ( $legacy ) { |
| 703 | $res = $this->execute( 'GET', '/fine-tunes' ); |
| 704 | } |
| 705 | else { |
| 706 | $res = $this->execute( 'GET', '/fine_tuning/jobs' ); |
| 707 | } |
| 708 | $finetunes = $res['data']; |
| 709 | |
| 710 | // Add suffix |
| 711 | $finetunes = array_map( function ( $finetune ) { |
| 712 | $finetune['suffix'] = SELF::get_suffix_for_model( $finetune['fine_tuned_model'] ); |
| 713 | $finetune['createdOn'] = date( 'Y-m-d H:i:s', $finetune['created_at'] ); |
| 714 | $finetune['updatedOn'] = date( 'Y-m-d H:i:s', $finetune['updated_at'] ); |
| 715 | $finetune['base_model'] = $finetune['model']; |
| 716 | $finetune['model'] = $finetune['fine_tuned_model']; |
| 717 | unset( $finetune['object'] ); |
| 718 | unset( $finetune['hyperparams'] ); |
| 719 | unset( $finetune['result_files'] ); |
| 720 | unset( $finetune['training_files'] ); |
| 721 | unset( $finetune['validation_files'] ); |
| 722 | unset( $finetune['created_at'] ); |
| 723 | unset( $finetune['updated_at'] ); |
| 724 | unset( $finetune['fine_tuned_model'] ); |
| 725 | return $finetune; |
| 726 | }, $finetunes); |
| 727 | |
| 728 | usort( $finetunes, function ( $a, $b ) { |
| 729 | return strtotime( $b['createdOn'] ) - strtotime( $a['createdOn'] ); |
| 730 | }); |
| 731 | |
| 732 | if ( $legacy ) { |
| 733 | $this->core->update_ai_env( $this->envId, 'legacy_finetunes', $finetunes ); |
| 734 | } |
| 735 | else { |
| 736 | $this->core->update_ai_env( $this->envId, 'finetunes', $finetunes ); |
| 737 | } |
| 738 | |
| 739 | return $finetunes; |
| 740 | } |
| 741 | |
| 742 | public function moderate( $input ) { |
| 743 | $result = $this->execute('POST', '/moderations', [ |
| 744 | 'input' => $input |
| 745 | ]); |
| 746 | return $result; |
| 747 | } |
| 748 | |
| 749 | public function upload_file( $filename, $data, $purpose = 'fine-tune' ) |
| 750 | { |
| 751 | $result = $this->execute('POST', '/files', null, [ |
| 752 | 'purpose' => $purpose, |
| 753 | 'data' => $data, |
| 754 | 'file' => $filename |
| 755 | ] ); |
| 756 | return $result; |
| 757 | } |
| 758 | |
| 759 | public function delete_file( $fileId ) |
| 760 | { |
| 761 | return $this->execute( 'DELETE', '/files/' . $fileId ); |
| 762 | } |
| 763 | |
| 764 | public function get_model( $modelId ) |
| 765 | { |
| 766 | return $this->execute( 'GET', '/models/' . $modelId ); |
| 767 | } |
| 768 | |
| 769 | public function cancel_finetune( $fineTuneId ) |
| 770 | { |
| 771 | return $this->execute( 'POST', '/fine-tunes/' . $fineTuneId . '/cancel' ); |
| 772 | } |
| 773 | |
| 774 | public function delete_finetune( $modelId ) |
| 775 | { |
| 776 | return $this->execute( 'DELETE', '/models/' . $modelId ); |
| 777 | } |
| 778 | |
| 779 | public function download_file( $fileId, $newFile = null ) { |
| 780 | $fileInfo = $this->execute( 'GET', '/files/' . $fileId, null, null, false ); |
| 781 | $fileInfo = json_decode( (string)$fileInfo, true ); |
| 782 | $filename = $fileInfo['filename']; |
| 783 | $extension = pathinfo( $filename, PATHINFO_EXTENSION ); |
| 784 | if ( empty( $newFile ) ) { |
| 785 | include_once( ABSPATH . 'wp-admin/includes/file.php' ); |
| 786 | $tempFile = wp_tempnam( $filename ); |
| 787 | if ( !$tempFile ) { |
| 788 | $tempFile = tempnam( sys_get_temp_dir(), 'download_' ); |
| 789 | } |
| 790 | if ( pathinfo( $tempFile, PATHINFO_EXTENSION ) != $extension ) { |
| 791 | $newFile = $tempFile . '.' . $extension; |
| 792 | } |
| 793 | else { |
| 794 | $newFile = $tempFile; |
| 795 | } |
| 796 | } |
| 797 | $data = $this->execute( 'GET', '/files/' . $fileId . '/content', null, null, false ); |
| 798 | file_put_contents( $newFile, $data ); |
| 799 | return $newFile; |
| 800 | } |
| 801 | |
| 802 | public function run_finetune( $fileId, $model, $suffix, $hyperparams = [], $legacy = false ) |
| 803 | { |
| 804 | $n_epochs = isset( $hyperparams['nEpochs'] ) ? (int)$hyperparams['nEpochs'] : null; |
| 805 | $batch_size = isset( $hyperparams['batchSize'] ) ? (int)$hyperparams['batchSize'] : null; |
| 806 | $learning_rate_multiplier = isset( $hyperparams['learningRateMultiplier'] ) ? |
| 807 | (float)$hyperparams['learningRateMultiplier'] : null; |
| 808 | $prompt_loss_weight = isset( $hyperparams['promptLossWeight'] ) ? |
| 809 | (float)$hyperparams['promptLossWeight'] : null; |
| 810 | $arguments = [ |
| 811 | 'training_file' => $fileId, |
| 812 | 'model' => $model, |
| 813 | 'suffix' => $suffix |
| 814 | ]; |
| 815 | if ( $legacy ) { |
| 816 | $result = $this->execute( 'POST', '/fine-tunes', $arguments ); |
| 817 | } |
| 818 | else { |
| 819 | if ( $n_epochs ) { |
| 820 | $arguments['hyperparams'] = []; |
| 821 | $arguments['hyperparams']['n_epochs'] = $n_epochs; |
| 822 | } |
| 823 | if ( $batch_size ) { |
| 824 | if ( empty( $arguments['hyperparams'] ) ) { |
| 825 | $arguments['hyperparams'] = []; |
| 826 | } |
| 827 | $arguments['hyperparams']['batch_size'] = $batch_size; |
| 828 | } |
| 829 | if ( $learning_rate_multiplier ) { |
| 830 | if ( empty( $arguments['hyperparams'] ) ) { |
| 831 | $arguments['hyperparams'] = []; |
| 832 | } |
| 833 | $arguments['hyperparams']['learning_rate_multiplier'] = $learning_rate_multiplier; |
| 834 | } |
| 835 | if ( $prompt_loss_weight ) { |
| 836 | if ( empty( $arguments['hyperparams'] ) ) { |
| 837 | $arguments['hyperparams'] = []; |
| 838 | } |
| 839 | $arguments['hyperparams']['prompt_loss_weight'] = $prompt_loss_weight; |
| 840 | } |
| 841 | if ( $model === 'turbo' ) { |
| 842 | $arguments['model'] = 'gpt-3.5-turbo'; |
| 843 | } |
| 844 | $result = $this->execute( 'POST', '/fine_tuning/jobs', $arguments ); |
| 845 | } |
| 846 | return $result; |
| 847 | } |
| 848 | |
| 849 | /** |
| 850 | * Build the body of a form request. |
| 851 | * If the field name is 'file', then the field value is the filename of the file to upload. |
| 852 | * The file contents are taken from the 'data' field. |
| 853 | * |
| 854 | * @param array $fields |
| 855 | * @param string $boundary |
| 856 | * @return string |
| 857 | */ |
| 858 | public function build_form_body( $fields, $boundary ) |
| 859 | { |
| 860 | $body = ''; |
| 861 | foreach ( $fields as $name => $value ) { |
| 862 | if ( $name == 'data' ) { |
| 863 | continue; |
| 864 | } |
| 865 | $body .= "--$boundary\r\n"; |
| 866 | $body .= "Content-Disposition: form-data; name=\"$name\""; |
| 867 | if ( $name == 'file' ) { |
| 868 | $body .= "; filename=\"{$value}\"\r\n"; |
| 869 | $body .= "Content-Type: application/json\r\n\r\n"; |
| 870 | $body .= $fields['data'] . "\r\n"; |
| 871 | } |
| 872 | else { |
| 873 | $body .= "\r\n\r\n$value\r\n"; |
| 874 | } |
| 875 | } |
| 876 | $body .= "--$boundary--\r\n"; |
| 877 | return $body; |
| 878 | } |
| 879 | |
| 880 | /** |
| 881 | * Run a request to the OpenAI API. |
| 882 | * Fore more information about the $formFields, refer to the build_form_body method. |
| 883 | * |
| 884 | * @param string $method POST, PUT, GET, DELETE... |
| 885 | * @param string $url The API endpoint |
| 886 | * @param array $query The query parameters (json) |
| 887 | * @param array $formFields The form fields (multipart/form-data) |
| 888 | * @param bool $json Whether to return the response as json or not |
| 889 | * @return array |
| 890 | */ |
| 891 | public function execute( $method, $url, $query = null, $formFields = null, $json = true, $extraHeaders = null ) |
| 892 | { |
| 893 | $headers = "Content-Type: application/json\r\n" . "Authorization: Bearer " . $this->apiKey . "\r\n"; |
| 894 | $body = $query ? json_encode( $query ) : null; |
| 895 | if ( !empty( $formFields ) ) { |
| 896 | $boundary = wp_generate_password( 24, false ); |
| 897 | $headers = [ |
| 898 | 'Content-Type' => 'multipart/form-data; boundary=' . $boundary, |
| 899 | 'Authorization' => 'Bearer ' . $this->apiKey |
| 900 | ]; |
| 901 | $body = $this->build_form_body( $formFields, $boundary ); |
| 902 | } |
| 903 | |
| 904 | // Maybe we should have headers always as an array... not sure why we have it as a string. |
| 905 | if ( !empty( $extraHeaders ) ) { |
| 906 | foreach ( $extraHeaders as $key => $value ) { |
| 907 | if ( is_array( $headers ) ) { |
| 908 | $headers[$key] = $value; |
| 909 | } |
| 910 | else { |
| 911 | $headers .= "$key: $value\r\n"; |
| 912 | } |
| 913 | } |
| 914 | } |
| 915 | |
| 916 | $url = 'https://api.openai.com/v1' . $url; |
| 917 | $options = [ |
| 918 | "headers" => $headers, |
| 919 | "method" => $method, |
| 920 | "timeout" => MWAI_TIMEOUT, |
| 921 | "body" => $body, |
| 922 | "sslverify" => false |
| 923 | ]; |
| 924 | |
| 925 | try { |
| 926 | $response = wp_remote_request( $url, $options ); |
| 927 | if ( is_wp_error( $response ) ) { |
| 928 | throw new Exception( $response->get_error_message() ); |
| 929 | } |
| 930 | $response = wp_remote_retrieve_body( $response ); |
| 931 | $data = $json ? json_decode( $response, true ) : $response; |
| 932 | $this->handle_response_errors( $data ); |
| 933 | return $data; |
| 934 | } |
| 935 | catch ( Exception $e ) { |
| 936 | error_log( $e->getMessage() ); |
| 937 | throw new Exception( 'From OpenAI: ' . $e->getMessage() ); |
| 938 | } |
| 939 | } |
| 940 | |
| 941 | public function get_models() { |
| 942 | return apply_filters( 'mwai_openai_models', MWAI_OPENAI_MODELS ); |
| 943 | } |
| 944 | |
| 945 | static public function get_models_static() { |
| 946 | return MWAI_OPENAI_MODELS; |
| 947 | } |
| 948 | |
| 949 | private function calculate_price( $modelFamily, $inUnits, $outUnits, $option = null, $finetune = false ) |
| 950 | { |
| 951 | // For fine-tuned models: |
| 952 | $potentialBaseModel = SELF::get_finetune_base_model( $modelFamily ); |
| 953 | if ( !empty( $potentialBaseModel ) ) { |
| 954 | $modelFamily = $potentialBaseModel; |
| 955 | $finetune = true; |
| 956 | } |
| 957 | |
| 958 | $models = $this->get_models(); |
| 959 | foreach ( $models as $currentModel ) { |
| 960 | if ( $currentModel['model'] === $modelFamily || ( $finetune && $currentModel['family'] === $modelFamily ) ) { |
| 961 | if ( $currentModel['type'] === 'image' ) { |
| 962 | if ( !$option ) { |
| 963 | error_log( "AI Engine: Image models require an option." ); |
| 964 | return null; |
| 965 | } |
| 966 | else { |
| 967 | foreach ( $currentModel['options'] as $imageType ) { |
| 968 | if ( $imageType['option'] == $option ) { |
| 969 | return $imageType['price'] * $outUnits; |
| 970 | } |
| 971 | } |
| 972 | } |
| 973 | } |
| 974 | else { |
| 975 | if ( $finetune ) { |
| 976 | |
| 977 | if ( isset( $currentModel['finetune']['price'] ) ) { |
| 978 | $currentModel['price'] = $currentModel['finetune']['price']; |
| 979 | } |
| 980 | else if ( isset( $currentModel['finetune']['in'] ) ) { |
| 981 | $currentModel['price'] = [ |
| 982 | 'in' => $currentModel['finetune']['in'], |
| 983 | 'out' => $currentModel['finetune']['out'] |
| 984 | ]; |
| 985 | } |
| 986 | } |
| 987 | $inPrice = $currentModel['price']; |
| 988 | $outPrice = $currentModel['price']; |
| 989 | if ( is_array( $currentModel['price'] ) ) { |
| 990 | $inPrice = $currentModel['price']['in']; |
| 991 | $outPrice = $currentModel['price']['out']; |
| 992 | } |
| 993 | $inTotalPrice = $inPrice * $currentModel['unit'] * $inUnits; |
| 994 | $outTotalPrice = $outPrice * $currentModel['unit'] * $outUnits; |
| 995 | return $inTotalPrice + $outTotalPrice; |
| 996 | } |
| 997 | } |
| 998 | } |
| 999 | error_log( "AI Engine: Invalid model ($modelFamily)." ); |
| 1000 | return null; |
| 1001 | } |
| 1002 | |
| 1003 | public function get_price( Meow_MWAI_Query_Base $query, Meow_MWAI_Reply $reply ) |
| 1004 | { |
| 1005 | $model = $query->model; |
| 1006 | $units = 0; |
| 1007 | $option = null; |
| 1008 | |
| 1009 | $finetune = false; |
| 1010 | if ( is_a( $query, 'Meow_MWAI_Query_Text' ) || is_a( $query, 'Meow_MWAI_Query_Assistant' ) ) { |
| 1011 | if ( preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches ) ) { |
| 1012 | $finetune = true; |
| 1013 | } |
| 1014 | $inUnits = $reply->get_in_tokens( $query ); |
| 1015 | $outUnits = $reply->get_out_tokens(); |
| 1016 | return $this->calculate_price( $model, $inUnits, $outUnits, $option, $finetune ); |
| 1017 | } |
| 1018 | else if ( is_a( $query, 'Meow_MWAI_Query_Image' ) ) { |
| 1019 | /** @var Meow_MWAI_Query_Image $query */ |
| 1020 | $units = $query->maxResults; |
| 1021 | $option = $query->resolution; |
| 1022 | return $this->calculate_price( $model, 0, $units, $option, $finetune ); |
| 1023 | } |
| 1024 | else if ( is_a( $query, 'Meow_MWAI_Query_Transcribe' ) ) { |
| 1025 | $model = 'whisper'; |
| 1026 | $units = $reply->get_units(); |
| 1027 | return $this->calculate_price( $model, 0, $units, $option, $finetune ); |
| 1028 | } |
| 1029 | else if ( is_a( $query, 'Meow_MWAI_Query_Embed' ) ) { |
| 1030 | $units = $reply->get_total_tokens(); |
| 1031 | return $this->calculate_price( $model, 0, $units, $option, $finetune ); |
| 1032 | } |
| 1033 | error_log("AI Engine: Cannot calculate price for $model."); |
| 1034 | return null; |
| 1035 | } |
| 1036 | |
| 1037 | public function get_incidents() { |
| 1038 | $url = 'https://status.openai.com/history.rss'; |
| 1039 | $response = wp_remote_get( $url ); |
| 1040 | if ( is_wp_error( $response ) ) { |
| 1041 | throw new Exception( $response->get_error_message() ); |
| 1042 | } |
| 1043 | $response = wp_remote_retrieve_body( $response ); |
| 1044 | $xml = simplexml_load_string( $response ); |
| 1045 | $incidents = array(); |
| 1046 | $oneWeekAgo = time() - 5 * 24 * 60 * 60; |
| 1047 | foreach ( $xml->channel->item as $item ) { |
| 1048 | $date = strtotime( $item->pubDate ); |
| 1049 | if ( $date > $oneWeekAgo ) { |
| 1050 | $incidents[] = array( |
| 1051 | 'title' => (string) $item->title, |
| 1052 | 'description' => (string) $item->description, |
| 1053 | 'date' => $date |
| 1054 | ); |
| 1055 | } |
| 1056 | } |
| 1057 | return $incidents; |
| 1058 | } |
| 1059 | } |
| 1060 |