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chatml.php
2131 lines
| 1 | <?php |
| 2 | |
| 3 | /** |
| 4 | * Base implementation of the ChatML API. |
| 5 | * This was first introduced by OpenAI and many providers keep compatibility with it. |
| 6 | * Engines relying on this original API can extend this class. |
| 7 | * |
| 8 | */ |
| 9 | |
| 10 | class Meow_MWAI_Engines_ChatML extends Meow_MWAI_Engines_Core { |
| 11 | // Base (OpenAI) |
| 12 | protected $apiKey = null; |
| 13 | protected $organizationId = null; |
| 14 | |
| 15 | // Azure |
| 16 | private $azureDeployments = null; |
| 17 | protected $azureApiVersion = 'api-version=2024-12-01-preview'; |
| 18 | |
| 19 | // Response |
| 20 | protected $inModel = null; |
| 21 | protected $inId = null; |
| 22 | protected $inThreadId = null; |
| 23 | |
| 24 | // Streaming |
| 25 | protected $streamFunctionCall = null; |
| 26 | protected $streamToolCalls = []; |
| 27 | protected $streamLastMessage = null; |
| 28 | protected $streamAnnotations = []; |
| 29 | protected $streamImageIds = []; |
| 30 | protected $streamThinking = null; // For reasoning/thinking content |
| 31 | |
| 32 | protected $streamInTokens = null; |
| 33 | protected $streamOutTokens = null; |
| 34 | protected $streamCost = null; |
| 35 | protected $streamStartEmitted = false; |
| 36 | |
| 37 | public function __construct( $core, $env ) { |
| 38 | parent::__construct( $core, $env ); |
| 39 | $this->set_environment(); |
| 40 | } |
| 41 | |
| 42 | public function reset_stream() { |
| 43 | $this->streamContent = null; |
| 44 | $this->streamBuffer = null; |
| 45 | $this->streamFunctionCall = null; |
| 46 | $this->streamToolCalls = []; |
| 47 | $this->streamLastMessage = null; |
| 48 | $this->streamThinking = null; |
| 49 | $this->streamInTokens = null; |
| 50 | $this->streamOutTokens = null; |
| 51 | $this->inModel = null; |
| 52 | $this->inId = null; |
| 53 | $this->emittedFunctionResults = []; |
| 54 | $this->streamStartEmitted = false; |
| 55 | } |
| 56 | |
| 57 | protected function set_environment() { |
| 58 | $env = $this->env; |
| 59 | $this->apiKey = $env['apikey']; |
| 60 | |
| 61 | if ( isset( $env['organizationId'] ) ) { |
| 62 | $this->organizationId = $env['organizationId']; |
| 63 | } |
| 64 | if ( $this->envType === 'azure' ) { |
| 65 | $this->azureDeployments = isset( $env['deployments'] ) ? $env['deployments'] : []; |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | protected function get_azure_deployment_name( $model ) { |
| 70 | foreach ( $this->azureDeployments as $deployment ) { |
| 71 | if ( $deployment['model'] === $model && !empty( $deployment['name'] ) ) { |
| 72 | return $deployment['name']; |
| 73 | } |
| 74 | } |
| 75 | throw new Exception( 'Unknown deployment for model: ' . $model ); |
| 76 | } |
| 77 | |
| 78 | protected function get_service_name() { |
| 79 | return $this->envType === 'azure' ? 'Azure' : 'OpenAI'; |
| 80 | } |
| 81 | |
| 82 | private function is_o1_model( $model ) { |
| 83 | $modelDef = $this->retrieve_model_info( $model ); |
| 84 | return !empty( $modelDef['tags'] ) && in_array( 'o1-model', $modelDef['tags'] ); |
| 85 | } |
| 86 | |
| 87 | private function is_gpt5_model( $model ) { |
| 88 | // Check if the model is a GPT-5 variant |
| 89 | return strpos( $model, 'gpt-5' ) === 0; |
| 90 | } |
| 91 | |
| 92 | private function requires_developer_roles( $model ) { |
| 93 | return false; |
| 94 | } |
| 95 | |
| 96 | private function is_realtime_model( $model ) { |
| 97 | $modelDef = $this->retrieve_model_info( $model ); |
| 98 | return !empty( $modelDef['family'] ) && $modelDef['family'] === 'realtime'; |
| 99 | } |
| 100 | |
| 101 | protected function build_messages( $query ) { |
| 102 | $messages = []; |
| 103 | |
| 104 | // First, we need to add the first message (the instructions). |
| 105 | if ( !empty( $query->instructions ) ) { |
| 106 | //if ( !$this->is_o1_model( $query->model ) ) { |
| 107 | $messages[] = [ 'role' => 'system', 'content' => $query->instructions ]; |
| 108 | //} |
| 109 | } |
| 110 | |
| 111 | // Then, if any, we need to add the 'messages', they are already formatted. |
| 112 | foreach ( $query->messages as $message ) { |
| 113 | $messages[] = $message; |
| 114 | } |
| 115 | |
| 116 | // If there is a context, we need to add it with proper framing. |
| 117 | if ( !empty( $query->context ) ) { |
| 118 | $framedContext = $this->core->frame_context( $query->context ); |
| 119 | $messages[] = [ 'role' => 'system', 'content' => $framedContext ]; |
| 120 | } |
| 121 | |
| 122 | // Finally, we need to add the message, but if there is an image, we need to add it as a system message. |
| 123 | $attachments = method_exists( $query, 'getAttachments' ) ? $query->getAttachments() : []; |
| 124 | if ( !empty( $attachments ) ) { |
| 125 | $content = [ |
| 126 | [ |
| 127 | 'type' => 'text', |
| 128 | 'text' => $query->get_message() |
| 129 | ] |
| 130 | ]; |
| 131 | |
| 132 | // Handle all attachments (unified approach) |
| 133 | foreach ( $attachments as $file ) { |
| 134 | // Check file type BEFORE trying to access file data |
| 135 | // Images can be loaded via URL or base64, but PDFs might use OpenAI file_id references |
| 136 | $mimeType = $file->get_mimeType() ?? ''; |
| 137 | $isImage = strpos( $mimeType, 'image/' ) === 0; |
| 138 | |
| 139 | if ( $isImage ) { |
| 140 | $finalUrl = null; |
| 141 | if ( $query->image_remote_upload === 'url' ) { |
| 142 | $finalUrl = $file->get_url(); |
| 143 | } |
| 144 | else { |
| 145 | $finalUrl = $file->get_inline_base64_url(); |
| 146 | } |
| 147 | |
| 148 | $content[] = [ |
| 149 | 'type' => 'image_url', |
| 150 | 'image_url' => [ |
| 151 | 'url' => $finalUrl |
| 152 | ] |
| 153 | ]; |
| 154 | } |
| 155 | // Skip non-images for Chat Completions API |
| 156 | } |
| 157 | |
| 158 | $messages[] = [ |
| 159 | 'role' => 'user', |
| 160 | 'content' => $content |
| 161 | ]; |
| 162 | } |
| 163 | else { |
| 164 | $messages[] = [ 'role' => 'user', 'content' => $query->get_message() ]; |
| 165 | } |
| 166 | |
| 167 | // We need to convert all the 'system' role into 'developer' role. |
| 168 | if ( $this->requires_developer_roles( $query->model ) ) { |
| 169 | foreach ( $messages as &$message ) { |
| 170 | if ( $message['role'] === 'system' ) { |
| 171 | $message['role'] = 'developer'; |
| 172 | } |
| 173 | } |
| 174 | } |
| 175 | // But otherwise, if it's o1, we need to remove the message which are 'system' |
| 176 | else if ( $this->is_o1_model( $query->model ) ) { |
| 177 | $hasChanges = false; |
| 178 | foreach ( $messages as $index => $message ) { |
| 179 | if ( $message['role'] === 'system' ) { |
| 180 | unset( $messages[$index] ); |
| 181 | $hasChanges = true; |
| 182 | } |
| 183 | } |
| 184 | if ( $hasChanges ) { |
| 185 | $messages = array_values( $messages ); |
| 186 | Meow_MWAI_Logging::warn( 'The model ' . $query->model . ' doesn\'t support System nor Developer messages. They were removed.' ); |
| 187 | } |
| 188 | } |
| 189 | |
| 190 | return $messages; |
| 191 | } |
| 192 | |
| 193 | /** |
| 194 | * Convert functions to Responses API tools format. |
| 195 | * Shared by OpenAI and OpenRouter engines. |
| 196 | */ |
| 197 | protected function build_responses_tools( $functions ) { |
| 198 | $tools = []; |
| 199 | foreach ( $functions as $function ) { |
| 200 | $functionData = $function->serializeForOpenAI(); |
| 201 | if ( !isset( $functionData['name'] ) || empty( $functionData['name'] ) ) { |
| 202 | Meow_MWAI_Logging::warn( 'Function missing required name field' ); |
| 203 | continue; |
| 204 | } |
| 205 | $parameters = $functionData['parameters'] ?? null; |
| 206 | if ( !$parameters ) { |
| 207 | $parameters = [ |
| 208 | 'type' => 'object', |
| 209 | 'properties' => new stdClass(), |
| 210 | 'required' => [] |
| 211 | ]; |
| 212 | } |
| 213 | else { |
| 214 | if ( isset( $parameters['properties'] ) && |
| 215 | is_array( $parameters['properties'] ) && |
| 216 | empty( $parameters['properties'] ) ) { |
| 217 | $parameters['properties'] = new stdClass(); |
| 218 | } |
| 219 | } |
| 220 | $tool = [ |
| 221 | 'type' => 'function', |
| 222 | 'name' => $functionData['name'], |
| 223 | 'description' => $functionData['description'] ?? '', |
| 224 | 'parameters' => $parameters, |
| 225 | 'strict' => false |
| 226 | ]; |
| 227 | $tools[] = $tool; |
| 228 | } |
| 229 | return $tools; |
| 230 | } |
| 231 | |
| 232 | protected function build_body( $query, $streamCallback = null, $extra = null ) { |
| 233 | if ( $query instanceof Meow_MWAI_Query_Text ) { |
| 234 | $body = [ |
| 235 | 'model' => $query->model, |
| 236 | 'stream' => !is_null( $streamCallback ), |
| 237 | ]; |
| 238 | |
| 239 | if ( !empty( $query->maxTokens ) ) { |
| 240 | // max_tokens has been deprecated in favor of max_completion_tokens in 2025. |
| 241 | $body['max_completion_tokens'] = $query->maxTokens; |
| 242 | } |
| 243 | |
| 244 | if ( !empty( $query->temperature ) ) { |
| 245 | // GPT-5 and o1 models don't support temperature parameter |
| 246 | if ( !$this->is_o1_model( $query->model ) && !$this->is_gpt5_model( $query->model ) ) { |
| 247 | $body['temperature'] = $query->temperature; |
| 248 | } |
| 249 | else if ( $this->is_o1_model( $query->model ) ) { |
| 250 | // o1 models require temperature to be 1 if specified |
| 251 | $body['temperature'] = 1; |
| 252 | } |
| 253 | // For GPT-5 models, we simply don't include the temperature parameter |
| 254 | } |
| 255 | |
| 256 | if ( !empty( $query->maxResults ) ) { |
| 257 | $body['n'] = $query->maxResults; |
| 258 | } |
| 259 | |
| 260 | if ( !empty( $query->stop ) ) { |
| 261 | $body['stop'] = $query->stop; |
| 262 | } |
| 263 | |
| 264 | if ( !empty( $query->responseFormat ) ) { |
| 265 | if ( $query->responseFormat === 'json' ) { |
| 266 | $body['response_format'] = [ 'type' => 'json_object' ]; |
| 267 | } |
| 268 | } |
| 269 | |
| 270 | // Usage Data (only for OpenAI) |
| 271 | // https://cookbook.openai.com/examples/how_to_stream_completions#4-how-to-get-token-usage-data-for-streamed-chat-completion-response |
| 272 | if ( !empty( $streamCallback ) && $this->envType === 'openai' ) { |
| 273 | $body['stream_options'] = [ |
| 274 | 'include_usage' => true, |
| 275 | ]; |
| 276 | } |
| 277 | |
| 278 | if ( !empty( $query->functions ) ) { |
| 279 | $model = $this->retrieve_model_info( $query->model ); |
| 280 | if ( !empty( $model['tags'] ) && !in_array( 'functions', $model['tags'] ) ) { |
| 281 | Meow_MWAI_Logging::warn( 'The model ' . $query->model . ' doesn\'t support Function Calling.' ); |
| 282 | } |
| 283 | else if ( strpos( $query->model, 'ft:' ) === 0 ) { |
| 284 | Meow_MWAI_Logging::warn( 'OpenAI doesn\'t support Function Calling with fine-tuned models yet.' ); |
| 285 | } |
| 286 | else { |
| 287 | $body['tools'] = []; |
| 288 | // Dynamic function: they will interactively enhance the completion (tools). |
| 289 | foreach ( $query->functions as $function ) { |
| 290 | $body['tools'][] = [ |
| 291 | 'type' => 'function', |
| 292 | 'function' => $function->serializeForOpenAI() |
| 293 | ]; |
| 294 | } |
| 295 | // Static functions: they will be executed at the end of the completion. |
| 296 | //$body['function_call'] = $query->functionCall; |
| 297 | } |
| 298 | } |
| 299 | $body['messages'] = $this->build_messages( $query ); |
| 300 | |
| 301 | // Add the feedback if it's a feedback query. |
| 302 | if ( $query instanceof Meow_MWAI_Query_Feedback ) { |
| 303 | if ( !empty( $query->blocks ) ) { |
| 304 | foreach ( $query->blocks as $feedback_block ) { |
| 305 | $body['messages'][] = $feedback_block['rawMessage']; |
| 306 | foreach ( $feedback_block['feedbacks'] as $feedback ) { |
| 307 | // Ensure content is a string for the API |
| 308 | $content = $feedback['reply']['value']; |
| 309 | if ( !is_string( $content ) ) { |
| 310 | $content = json_encode( $content ); |
| 311 | } |
| 312 | |
| 313 | $body['messages'][] = [ |
| 314 | 'tool_call_id' => $feedback['request']['toolId'], |
| 315 | 'role' => 'tool', |
| 316 | 'name' => $feedback['request']['name'], |
| 317 | 'content' => $content |
| 318 | ]; |
| 319 | |
| 320 | // Note: Function result events are now emitted centrally in core.php |
| 321 | // when the function is actually executed |
| 322 | } |
| 323 | } |
| 324 | } |
| 325 | return $body; |
| 326 | } |
| 327 | |
| 328 | return $body; |
| 329 | } |
| 330 | else if ( $query instanceof Meow_MWAI_Query_Transcribe ) { |
| 331 | // Determine filename and MIME type |
| 332 | $filename = 'audio.mp3'; // default |
| 333 | $mimeType = 'audio/mpeg'; // default |
| 334 | $attachments = method_exists( $query, 'getAttachments' ) ? $query->getAttachments() : []; |
| 335 | if ( !empty( $attachments ) ) { |
| 336 | $firstAttachment = $attachments[0]; |
| 337 | if ( method_exists( $firstAttachment, 'get_filename' ) ) { |
| 338 | $filename = $firstAttachment->get_filename(); |
| 339 | } |
| 340 | if ( method_exists( $firstAttachment, 'get_mimeType' ) ) { |
| 341 | $detectedMime = $firstAttachment->get_mimeType(); |
| 342 | if ( !empty( $detectedMime ) ) { |
| 343 | $mimeType = $detectedMime; |
| 344 | } |
| 345 | } |
| 346 | } |
| 347 | else if ( !empty( $query->url ) ) { |
| 348 | $filename = basename( $query->url ); |
| 349 | } |
| 350 | |
| 351 | // Guard against malformed filenames coming from form prompts/placeholders |
| 352 | if ( empty( $filename ) ) { |
| 353 | $filename = 'audio.mp3'; |
| 354 | } |
| 355 | $filename = preg_replace( "/[\r\n]+/", '', $filename ); |
| 356 | $mimeType = preg_replace( "/[\r\n]+/", '', $mimeType ); |
| 357 | if ( empty( $mimeType ) ) { |
| 358 | $mimeType = 'audio/mpeg'; |
| 359 | } |
| 360 | |
| 361 | $body = [ |
| 362 | 'prompt' => $query->message, |
| 363 | 'model' => $query->model, |
| 364 | 'response_format' => 'text', |
| 365 | 'file' => $filename, |
| 366 | 'data' => $extra, |
| 367 | 'mime' => $mimeType |
| 368 | ]; |
| 369 | return $body; |
| 370 | } |
| 371 | else if ( $query instanceof Meow_MWAI_Query_Embed ) { |
| 372 | $body = [ 'input' => $query->message, 'model' => $query->model ]; |
| 373 | if ( $this->envType === 'azure' ) { |
| 374 | $body = [ 'input' => $query->message ]; |
| 375 | } |
| 376 | // Dimensions are only supported by v3 models |
| 377 | if ( !empty( $query->dimensions ) && strpos( $query->model, 'ada-002' ) === false ) { |
| 378 | $body['dimensions'] = $query->dimensions; |
| 379 | } |
| 380 | return $body; |
| 381 | } |
| 382 | else if ( $query instanceof Meow_MWAI_Query_EditImage ) { |
| 383 | $resolution = !empty( $query->resolution ) ? $query->resolution : '1024x1024'; |
| 384 | $attachments = method_exists( $query, 'getAttachments' ) ? $query->getAttachments() : []; |
| 385 | $firstFile = !empty( $attachments ) ? $attachments[0] : null; |
| 386 | $filename = $firstFile ? $firstFile->get_filename() : ''; |
| 387 | $mimeType = $firstFile ? $firstFile->get_mimeType() : null; |
| 388 | $body = [ |
| 389 | 'prompt' => $query->message, |
| 390 | 'n' => $query->maxResults, |
| 391 | 'size' => $resolution, |
| 392 | 'image' => $filename, |
| 393 | 'data' => $extra |
| 394 | ]; |
| 395 | if ( !empty( $mimeType ) ) { |
| 396 | $body['mime'] = $mimeType; |
| 397 | } |
| 398 | |
| 399 | // Add mask if provided |
| 400 | if ( !empty( $query->mask ) ) { |
| 401 | $maskData = $query->mask->get_data(); |
| 402 | $maskFilename = 'mask.png'; |
| 403 | $maskMimeType = $query->mask->get_mimeType(); |
| 404 | |
| 405 | $body['mask'] = $maskFilename; |
| 406 | $body['mask_data'] = $maskData; |
| 407 | if ( !empty( $maskMimeType ) ) { |
| 408 | $body['mask_mime'] = $maskMimeType; |
| 409 | } |
| 410 | } |
| 411 | // 'response_format' => 'b64_json', |
| 412 | if ( !empty( $query->model ) ) { |
| 413 | $body['model'] = $query->model; |
| 414 | } |
| 415 | return $body; |
| 416 | } |
| 417 | else if ( $query instanceof Meow_MWAI_Query_Image ) { |
| 418 | $model = $query->model; |
| 419 | $resolution = !empty( $query->resolution ) ? $query->resolution : '1024x1024'; |
| 420 | $body = [ |
| 421 | 'model' => $model, |
| 422 | 'prompt' => $query->message, |
| 423 | 'n' => $query->maxResults, |
| 424 | 'size' => $resolution, |
| 425 | 'moderation' => 'low', |
| 426 | ]; |
| 427 | // Only forward 'quality' when the caller (or final_checks) resolved one. |
| 428 | // Letting the API default decide ('auto' for gpt-image-*) keeps costs predictable |
| 429 | // and avoids forcing 'high' on every request. |
| 430 | if ( !empty( $query->quality ) ) { |
| 431 | $body['quality'] = $query->quality; |
| 432 | } |
| 433 | return $body; |
| 434 | } |
| 435 | } |
| 436 | |
| 437 | protected function build_url( $query, $endpoint = null ) { |
| 438 | $url = ''; |
| 439 | $env = $this->env; |
| 440 | // This endpoint is basically OpenAI or Azure, but in the case this class |
| 441 | // is overriden, we can pass the endpoint directly (for OpenRouter or HuggingFace, for example). |
| 442 | if ( empty( $endpoint ) ) { |
| 443 | if ( $this->envType === 'openai' ) { |
| 444 | $endpoint = apply_filters( 'mwai_openai_endpoint', 'https://api.openai.com/v1', $this->env ); |
| 445 | $this->organizationId = isset( $env['organizationId'] ) ? $env['organizationId'] : null; |
| 446 | } |
| 447 | else if ( $this->envType === 'azure' ) { |
| 448 | $endpoint = isset( $env['endpoint'] ) ? $env['endpoint'] : null; |
| 449 | // Ensure the endpoint has the proper protocol if it's just a domain |
| 450 | if ( $endpoint && strpos( $endpoint, 'http' ) !== 0 ) { |
| 451 | $endpoint = 'https://' . $endpoint; |
| 452 | } |
| 453 | } |
| 454 | else { |
| 455 | if ( empty( $this->envType ) ) { |
| 456 | throw new Exception( 'Endpoint is not defined, and this envType is not known.' ); |
| 457 | } |
| 458 | throw new Exception( 'Endpoint is not defined, and this envType is not known: ' . $this->envType ); |
| 459 | } |
| 460 | } |
| 461 | // Add the base API to the URL |
| 462 | if ( $query instanceof Meow_MWAI_Query_Text || $query instanceof Meow_MWAI_Query_Feedback ) { |
| 463 | if ( $this->envType === 'azure' ) { |
| 464 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 465 | $url = trailingslashit( $endpoint ) . 'openai/deployments/' . $deployment_name; |
| 466 | $url .= '/chat/completions?' . $this->azureApiVersion; |
| 467 | } |
| 468 | else { |
| 469 | $url .= trailingslashit( $endpoint ) . 'chat/completions'; |
| 470 | } |
| 471 | return $url; |
| 472 | } |
| 473 | else if ( $query instanceof Meow_MWAI_Query_Transcribe ) { |
| 474 | $modeEndpoint = $query->feature === 'translation' ? 'translations' : 'transcriptions'; |
| 475 | $url .= trailingslashit( $endpoint ) . 'audio/' . $modeEndpoint; |
| 476 | return $url; |
| 477 | } |
| 478 | else if ( $query instanceof Meow_MWAI_Query_Embed ) { |
| 479 | $url .= trailingslashit( $endpoint ) . 'embeddings'; |
| 480 | if ( $this->envType === 'azure' ) { |
| 481 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 482 | $url = trailingslashit( $endpoint ) . 'openai/deployments/' . |
| 483 | $deployment_name . '/embeddings?' . $this->azureApiVersion; |
| 484 | } |
| 485 | return $url; |
| 486 | } |
| 487 | else if ( $query instanceof Meow_MWAI_Query_EditImage ) { |
| 488 | $url .= trailingslashit( $endpoint ) . 'images/edits'; |
| 489 | if ( $this->envType === 'azure' ) { |
| 490 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 491 | $url = trailingslashit( $endpoint ) . 'openai/deployments/' . |
| 492 | $deployment_name . '/images/edits?' . $this->azureApiVersion; |
| 493 | } |
| 494 | return $url; |
| 495 | } |
| 496 | else if ( $query instanceof Meow_MWAI_Query_Image ) { |
| 497 | $url .= trailingslashit( $endpoint ) . 'images/generations'; |
| 498 | if ( $this->envType === 'azure' ) { |
| 499 | $deployment_name = $this->get_azure_deployment_name( $query->model ); |
| 500 | $url = trailingslashit( $endpoint ) . 'openai/deployments/' . |
| 501 | $deployment_name . '/images/generations?' . $this->azureApiVersion; |
| 502 | } |
| 503 | return $url; |
| 504 | } |
| 505 | throw new Exception( 'The query is not supported by build_url().' ); |
| 506 | } |
| 507 | |
| 508 | protected function build_headers( $query ) { |
| 509 | if ( $query->apiKey ) { |
| 510 | $this->apiKey = $query->apiKey; |
| 511 | } |
| 512 | if ( empty( $this->apiKey ) ) { |
| 513 | throw new Exception( 'No API Key provided. Please visit the Settings. (ChatML Engine)' ); |
| 514 | } |
| 515 | $headers = [ |
| 516 | 'Content-Type' => 'application/json', |
| 517 | 'Authorization' => 'Bearer ' . $this->apiKey, |
| 518 | ]; |
| 519 | if ( $this->organizationId ) { |
| 520 | $headers['OpenAI-Organization'] = $this->organizationId; |
| 521 | } |
| 522 | if ( $this->envType === 'azure' ) { |
| 523 | $headers = [ 'Content-Type' => 'application/json', 'api-key' => $this->apiKey ]; |
| 524 | } |
| 525 | return $headers; |
| 526 | } |
| 527 | |
| 528 | protected function build_options( $headers, $json = null, $forms = null, $method = 'POST' ) { |
| 529 | $body = null; |
| 530 | if ( !empty( $forms ) ) { |
| 531 | $boundary = wp_generate_password( 24, false ); |
| 532 | $headers['Content-Type'] = 'multipart/form-data; boundary=' . $boundary; |
| 533 | $body = $this->build_form_body( $forms, $boundary ); |
| 534 | } |
| 535 | else if ( !empty( $json ) ) { |
| 536 | $body = $this->safe_json_encode( $json, 'request body' ); |
| 537 | } |
| 538 | $options = [ |
| 539 | 'headers' => $headers, |
| 540 | 'method' => $method, |
| 541 | 'timeout' => MWAI_TIMEOUT, |
| 542 | 'body' => $body, |
| 543 | 'sslverify' => MWAI_SSL_VERIFY |
| 544 | ]; |
| 545 | return $options; |
| 546 | } |
| 547 | // object: "thread.message.delta" |
| 548 | protected function stream_data_handler( $json ) { |
| 549 | $content = null; |
| 550 | $handledCondition = false; // Track if we entered any condition |
| 551 | |
| 552 | // Get additional data from the JSON |
| 553 | if ( isset( $json['model'] ) ) { |
| 554 | $this->inModel = $json['model']; |
| 555 | } |
| 556 | if ( isset( $json['id'] ) ) { |
| 557 | $this->inId = $json['id']; |
| 558 | |
| 559 | // Send start event if debug mode is enabled and not already sent |
| 560 | if ( $this->currentDebugMode && $this->streamCallback && !$this->streamStartEmitted ) { |
| 561 | $this->streamStartEmitted = true; |
| 562 | $event = Meow_MWAI_Event::status( 'Starting stream...' ) |
| 563 | ->set_metadata( 'model', $this->inModel ) |
| 564 | ->set_metadata( 'id', $this->inId ); |
| 565 | call_user_func( $this->streamCallback, $event ); |
| 566 | } |
| 567 | } |
| 568 | |
| 569 | $object = $json['object'] ?? null; |
| 570 | |
| 571 | if ( $object === 'thread.run' ) { |
| 572 | $handledCondition = true; |
| 573 | $this->inThreadId = $json['thread_id']; |
| 574 | if ( $json['status'] === 'failed' ) { |
| 575 | $error = $json['last_error']['message'] ?? 'The run failed.'; |
| 576 | throw new Exception( $error ); |
| 577 | } |
| 578 | } |
| 579 | else if ( $object === 'thread.run.step.delta' ) { |
| 580 | $handledCondition = true; |
| 581 | if ( $json['delta']['step_details']['type'] === 'tool_calls' ) { |
| 582 | foreach ( $json['delta']['step_details']['tool_calls'] as $tool_call ) { |
| 583 | $index = $tool_call['index'] ?? null; |
| 584 | $currentStreamToolCall = null; |
| 585 | if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) { |
| 586 | $currentStreamToolCall = &$this->streamToolCalls[$index]; |
| 587 | } |
| 588 | else { |
| 589 | $this->streamToolCalls[] = [ |
| 590 | 'id' => null, |
| 591 | 'type' => null, |
| 592 | 'function' => [ 'name' => '', 'arguments' => '' ], |
| 593 | 'code_interpreter' => [ 'input' => '', 'outputs' => [] ], |
| 594 | ]; |
| 595 | end( $this->streamToolCalls ); |
| 596 | $currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ]; |
| 597 | |
| 598 | // Send tool call initiated event |
| 599 | if ( $this->currentDebugMode && $this->streamCallback ) { |
| 600 | $event = Meow_MWAI_Event::status( 'Initiating tool call...' ); |
| 601 | call_user_func( $this->streamCallback, $event ); |
| 602 | } |
| 603 | } |
| 604 | if ( !empty( $tool_call['id'] ) ) { |
| 605 | $currentStreamToolCall['id'] = $tool_call['id']; |
| 606 | } |
| 607 | if ( !empty( $tool_call['type'] ) ) { |
| 608 | $currentStreamToolCall['type'] = $tool_call['type']; |
| 609 | } |
| 610 | if ( isset( $tool_call['function'] ) ) { |
| 611 | $function = $tool_call['function']; |
| 612 | if ( isset( $function['name'] ) ) { |
| 613 | $currentStreamToolCall['function']['name'] .= $function['name']; |
| 614 | } |
| 615 | if ( isset( $function['arguments'] ) ) { |
| 616 | $currentStreamToolCall['function']['arguments'] .= $function['arguments']; |
| 617 | } |
| 618 | } |
| 619 | if ( isset( $tool_call['code_interpreter'] ) ) { |
| 620 | $code_interpreter = $tool_call['code_interpreter']; |
| 621 | if ( isset( $code_interpreter['input'] ) ) { |
| 622 | $currentStreamToolCall['code_interpreter']['input'] .= $code_interpreter['input']; |
| 623 | } |
| 624 | if ( isset( $code_interpreter['outputs'] ) ) { |
| 625 | $currentStreamToolCall['code_interpreter']['outputs'] = $code_interpreter['outputs']; |
| 626 | } |
| 627 | } |
| 628 | $this->streamLastMessage['tool_calls'] = $this->streamToolCalls; |
| 629 | } |
| 630 | } |
| 631 | } |
| 632 | else if ( $object === 'thread.message.delta' ) { |
| 633 | $handledCondition = true; |
| 634 | $delta = $json['delta']['content'][0] ?? null; |
| 635 | if ( $delta ) { |
| 636 | switch ( $delta['type'] ?? null ) { |
| 637 | case 'text': |
| 638 | if ( !empty( $delta['value'] ) && is_string( $delta['value'] ) ) { |
| 639 | $content = $delta['value']; |
| 640 | } |
| 641 | else if ( !empty( $delta['text'] ) && is_string( $delta['text'] ) ) { |
| 642 | $content = $delta['text']; |
| 643 | } |
| 644 | else if ( !empty( $delta['text'] ) && is_array( $delta['text'] ) ) { |
| 645 | $text = $delta['text']; |
| 646 | if ( !empty( $text['annotations'] ) ) { |
| 647 | $this->streamAnnotations = array_merge( $this->streamAnnotations, $text['annotations'] ); |
| 648 | } |
| 649 | if ( isset( $text['value'] ) ) { |
| 650 | $content = $text['value']; |
| 651 | } |
| 652 | } |
| 653 | else { |
| 654 | error_log( 'AI Engine: Unknown text format: ' . json_encode( $delta ) ); |
| 655 | } |
| 656 | break; |
| 657 | case 'image': |
| 658 | $content = $delta['url']; |
| 659 | break; |
| 660 | case 'image_file': |
| 661 | $fileId = $delta['image_file']['file_id']; |
| 662 | $content = '<!-- IMG #' . $fileId . ' -->'; |
| 663 | $this->streamImageIds[] = $fileId; |
| 664 | break; |
| 665 | case 'function_call': |
| 666 | if ( empty( $this->streamFunctionCall ) ) { |
| 667 | $this->streamFunctionCall = [ 'name' => '', 'arguments' => [] ]; |
| 668 | } |
| 669 | $this->streamFunctionCall['name'] = $delta['function_call']['name'] ?? $this->streamFunctionCall['name']; |
| 670 | if ( isset( $delta['function_call']['arguments'] ) ) { |
| 671 | $args = json_decode( $delta['function_call']['arguments'], true ); |
| 672 | $this->streamFunctionCall['arguments'] = $args ?? []; |
| 673 | } |
| 674 | break; |
| 675 | case 'tool_call': |
| 676 | $tool_call = $delta['tool_call']; |
| 677 | $index = $tool_call['index'] ?? null; |
| 678 | $currentStreamToolCall = null; |
| 679 | if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) { |
| 680 | $currentStreamToolCall = &$this->streamToolCalls[$index]; |
| 681 | } |
| 682 | else { |
| 683 | $this->streamToolCalls[] = [ |
| 684 | 'id' => null, |
| 685 | 'type' => null, |
| 686 | 'function' => [ 'name' => '', 'arguments' => '' ] |
| 687 | ]; |
| 688 | end( $this->streamToolCalls ); |
| 689 | $currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ]; |
| 690 | } |
| 691 | break; |
| 692 | } |
| 693 | } |
| 694 | } |
| 695 | else if ( $object === 'thread.run.step' ) { |
| 696 | $handledCondition = true; |
| 697 | //$type = $json['step']; |
| 698 | // Could be tool_calls, means an OpenAI Assistant is doing something. |
| 699 | } |
| 700 | else { |
| 701 | if ( isset( $json['choices'][0]['text'] ) ) { |
| 702 | $handledCondition = true; |
| 703 | $content = $json['choices'][0]['text']; |
| 704 | } |
| 705 | else if ( isset( $json['choices'][0]['delta']['content'] ) ) { |
| 706 | $handledCondition = true; |
| 707 | $content = $json['choices'][0]['delta']['content']; |
| 708 | } |
| 709 | else if ( isset( $json['choices'][0]['delta']['function_call'] ) ) { |
| 710 | $handledCondition = true; |
| 711 | if ( empty( $this->streamFunctionCall ) ) { |
| 712 | $this->streamFunctionCall = [ 'name' => '', 'arguments' => [] ]; |
| 713 | } |
| 714 | $this->streamFunctionCall['name'] = $json['choices'][0]['delta']['function_call']['name'] ?? $this->streamFunctionCall['name']; |
| 715 | if ( isset( $json['choices'][0]['delta']['function_call']['arguments'] ) ) { |
| 716 | $args = json_decode( $json['choices'][0]['delta']['function_call']['arguments'], true ); |
| 717 | $this->streamFunctionCall['arguments'] = $args ?? []; |
| 718 | } |
| 719 | } |
| 720 | else if ( isset( $json['choices'][0]['delta']['tool_calls'] ) ) { |
| 721 | $handledCondition = true; |
| 722 | // New schema detected – drop any half-built legacy call to prevent duplicates |
| 723 | $this->streamFunctionCall = null; |
| 724 | |
| 725 | foreach ( $json['choices'][0]['delta']['tool_calls'] as $tool_call ) { |
| 726 | $index = $tool_call['index'] ?? null; |
| 727 | $currentStreamToolCall = null; |
| 728 | if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) { |
| 729 | $currentStreamToolCall = &$this->streamToolCalls[$index]; |
| 730 | } |
| 731 | else { |
| 732 | $this->streamToolCalls[] = [ |
| 733 | 'id' => null, |
| 734 | 'type' => null, |
| 735 | 'function' => [ 'name' => '', 'arguments' => '' ] |
| 736 | ]; |
| 737 | end( $this->streamToolCalls ); |
| 738 | $currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ]; |
| 739 | } |
| 740 | if ( !empty( $tool_call['id'] ) ) { |
| 741 | $currentStreamToolCall['id'] = $tool_call['id']; |
| 742 | } |
| 743 | if ( !empty( $tool_call['type'] ) ) { |
| 744 | $currentStreamToolCall['type'] = $tool_call['type']; |
| 745 | } |
| 746 | if ( isset( $tool_call['function'] ) ) { |
| 747 | $function = $tool_call['function']; |
| 748 | if ( isset( $function['name'] ) ) { |
| 749 | $currentStreamToolCall['function']['name'] .= $function['name']; |
| 750 | } |
| 751 | if ( isset( $function['arguments'] ) ) { |
| 752 | $currentStreamToolCall['function']['arguments'] .= $function['arguments']; |
| 753 | } |
| 754 | } |
| 755 | $this->streamLastMessage['tool_calls'] = $this->streamToolCalls; |
| 756 | } |
| 757 | } |
| 758 | else if ( isset( $json['choices'][0]['delta']['role'] ) ) { |
| 759 | $handledCondition = true; |
| 760 | $this->streamLastMessage = [ |
| 761 | 'role' => $json['choices'][0]['delta']['role'], |
| 762 | 'content' => null |
| 763 | ]; |
| 764 | } |
| 765 | |
| 766 | // Handle thinking/reasoning content (from Ollama and potentially other models) |
| 767 | // This can appear alongside or instead of regular content |
| 768 | if ( isset( $json['choices'][0]['delta']['reasoning'] ) ) { |
| 769 | $handledCondition = true; |
| 770 | $thinking = $json['choices'][0]['delta']['reasoning']; |
| 771 | if ( !empty( $thinking ) ) { |
| 772 | $this->streamThinking = ( $this->streamThinking ?? '' ) . $thinking; |
| 773 | } |
| 774 | } |
| 775 | // Also check for 'thinking' field (OpenAI's o1 models use this) |
| 776 | else if ( isset( $json['choices'][0]['delta']['thinking'] ) ) { |
| 777 | $handledCondition = true; |
| 778 | $thinking = $json['choices'][0]['delta']['thinking']; |
| 779 | if ( !empty( $thinking ) ) { |
| 780 | $this->streamThinking = ( $this->streamThinking ?? '' ) . $thinking; |
| 781 | } |
| 782 | } |
| 783 | } |
| 784 | |
| 785 | $usage = $json['usage'] ?? []; |
| 786 | if ( isset( $usage['prompt_tokens'], $usage['completion_tokens'] ) ) { |
| 787 | $this->streamInTokens = (int) $usage['prompt_tokens']; |
| 788 | $this->streamOutTokens = (int) $usage['completion_tokens']; |
| 789 | |
| 790 | if ( isset( $usage['cost'] ) ) { |
| 791 | $this->streamCost = (float) $usage['cost']; |
| 792 | } |
| 793 | } |
| 794 | |
| 795 | // If content is an array, let's try to convert it into a string. Normally, there would be a 'value' key. |
| 796 | if ( is_array( $content ) ) { |
| 797 | if ( isset( $content['value'] ) ) { |
| 798 | $content = $content['value']; |
| 799 | } |
| 800 | else { |
| 801 | throw new Exception( 'Could not read this: ' . json_encode( $content ) ); |
| 802 | } |
| 803 | } |
| 804 | |
| 805 | // Log unhandled JSON in dev mode |
| 806 | if ( !$handledCondition && $this->core->get_option( 'dev_mode' ) ) { |
| 807 | error_log( '[AI Engine] Unhandled streaming JSON structure: ' . json_encode( $json ) ); |
| 808 | } |
| 809 | |
| 810 | // Avoid some endings |
| 811 | $endings = [ '', '</s>' ]; |
| 812 | if ( in_array( $content, $endings ) ) { |
| 813 | $content = null; |
| 814 | } |
| 815 | |
| 816 | return ( $content === '0' || !empty( $content ) ) ? $content : null; |
| 817 | } |
| 818 | |
| 819 | public function run( $query, $streamCallback = null, $maxDepth = 5 ) { |
| 820 | // Check if this is a realtime model being used with chat completions |
| 821 | if ( $this->is_realtime_model( $query->model ) ) { |
| 822 | throw new Exception( |
| 823 | 'Realtime models (like ' . $query->model . ') are designed for voice/audio interactions and cannot be used with this API.' |
| 824 | ); |
| 825 | } |
| 826 | |
| 827 | return parent::run( $query, $streamCallback, $maxDepth ); |
| 828 | } |
| 829 | |
| 830 | public function run_query( $url, $options, $isStream = false ) { |
| 831 | try { |
| 832 | $options['stream'] = $isStream; |
| 833 | if ( $isStream ) { |
| 834 | $options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' ); |
| 835 | } |
| 836 | |
| 837 | // Check if queries debug is enabled |
| 838 | $queries_debug = $this->core->get_option( 'queries_debug_mode' ); |
| 839 | |
| 840 | // Log the request if queries debug is enabled |
| 841 | if ( $queries_debug ) { |
| 842 | error_log( '[AI Engine Queries] --> Request to: ' . $url ); |
| 843 | |
| 844 | if ( isset( $options['body'] ) ) { |
| 845 | // This is the actual body being sent to the AI service |
| 846 | $body_log = is_string( $options['body'] ) ? $options['body'] : json_encode( $options['body'] ); |
| 847 | |
| 848 | // Pretty print JSON if possible |
| 849 | $decoded = json_decode( $body_log, true ); |
| 850 | if ( json_last_error() === JSON_ERROR_NONE ) { |
| 851 | error_log( json_encode( $decoded, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES ) ); |
| 852 | } |
| 853 | else { |
| 854 | error_log( $body_log ); |
| 855 | } |
| 856 | } |
| 857 | } |
| 858 | |
| 859 | $res = wp_remote_get( $url, $options ); |
| 860 | |
| 861 | if ( is_wp_error( $res ) ) { |
| 862 | throw new Exception( $res->get_error_message() ); |
| 863 | } |
| 864 | |
| 865 | $responseCode = wp_remote_retrieve_response_code( $res ); |
| 866 | if ( $responseCode === 404 ) { |
| 867 | throw new Exception( 'The model\'s API URL was not found: ' . $url ); |
| 868 | } |
| 869 | else if ( $responseCode === 400 ) { |
| 870 | $message = wp_remote_retrieve_body( $res ); |
| 871 | // Log the full response body for debugging |
| 872 | error_log( '[AI Engine] 400 Bad Request - Full response body: ' . $message ); |
| 873 | if ( empty( $message ) ) { |
| 874 | $message = wp_remote_retrieve_response_message( $res ); |
| 875 | } |
| 876 | if ( empty( $message ) ) { |
| 877 | $message = 'Bad Request'; |
| 878 | } |
| 879 | throw new Exception( $message ); |
| 880 | } |
| 881 | else if ( $responseCode === 422 ) { |
| 882 | $message = wp_remote_retrieve_body( $res ); |
| 883 | if ( empty( $message ) ) { |
| 884 | $message = wp_remote_retrieve_response_message( $res ); |
| 885 | } |
| 886 | if ( empty( $message ) ) { |
| 887 | $message = 'Unprocessable Entity'; |
| 888 | } |
| 889 | throw new Exception( $message ); |
| 890 | } |
| 891 | else if ( $responseCode === 500 ) { |
| 892 | $message = wp_remote_retrieve_body( $res ); |
| 893 | if ( empty( $message ) ) { |
| 894 | $message = wp_remote_retrieve_response_message( $res ); |
| 895 | } |
| 896 | if ( empty( $message ) ) { |
| 897 | $message = 'Internal Server Error'; |
| 898 | } |
| 899 | throw new Exception( $message ); |
| 900 | } |
| 901 | |
| 902 | if ( $isStream ) { |
| 903 | return [ 'stream' => true ]; |
| 904 | } |
| 905 | |
| 906 | $response = wp_remote_retrieve_body( $res ); |
| 907 | $headersRes = wp_remote_retrieve_headers( $res ); |
| 908 | $headers = $headersRes->getAll(); |
| 909 | |
| 910 | // Check if Content-Type is 'multipart/form-data' or 'text/plain' |
| 911 | // If so, we don't need to decode the response |
| 912 | $normalizedHeaders = array_change_key_case( $headers, CASE_LOWER ); |
| 913 | $resContentType = $normalizedHeaders['content-type'] ?? ''; |
| 914 | if ( strpos( $resContentType, 'multipart/form-data' ) !== false || strpos( $resContentType, 'text/plain' ) !== false ) { |
| 915 | // Log the response if queries debug is enabled |
| 916 | if ( $queries_debug && !$isStream ) { |
| 917 | error_log( '[AI Engine Queries] Response Headers: ' . json_encode( $headers ) ); |
| 918 | error_log( '[AI Engine Queries] Response Body (raw): ' . substr( $response, 0, 1000 ) . '...' ); |
| 919 | } |
| 920 | return [ 'stream' => false, 'headers' => $headers, 'data' => $response ]; |
| 921 | } |
| 922 | |
| 923 | $data = json_decode( $response, true ); |
| 924 | $this->handle_response_errors( $data ); |
| 925 | |
| 926 | // Log the response if queries debug is enabled |
| 927 | if ( $queries_debug && !$isStream ) { |
| 928 | // Log the raw response as received from the AI service |
| 929 | error_log( '[AI Engine Queries] <-- Response:' ); |
| 930 | |
| 931 | // Pretty print JSON if possible |
| 932 | if ( json_last_error() === JSON_ERROR_NONE && is_array( $data ) ) { |
| 933 | error_log( json_encode( $data, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES ) ); |
| 934 | } |
| 935 | else { |
| 936 | error_log( $response ); |
| 937 | } |
| 938 | } |
| 939 | |
| 940 | return [ 'headers' => $headers, 'data' => $data ]; |
| 941 | } |
| 942 | catch ( Exception $e ) { |
| 943 | $service = $this->get_service_name(); |
| 944 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 945 | |
| 946 | // Log error response if queries debug is enabled |
| 947 | if ( $queries_debug ) { |
| 948 | error_log( '[AI Engine Queries] Error occurred: ' . $e->getMessage() ); |
| 949 | } |
| 950 | |
| 951 | throw $e; |
| 952 | } |
| 953 | finally { |
| 954 | if ( $isStream && file_exists( $options['filename'] ) ) { |
| 955 | unlink( $options['filename'] ); |
| 956 | } |
| 957 | } |
| 958 | } |
| 959 | |
| 960 | private function get_audio( $url ) { |
| 961 | require_once( ABSPATH . 'wp-admin/includes/media.php' ); |
| 962 | |
| 963 | // Validate URL scheme to prevent SSRF attacks |
| 964 | $parts = wp_parse_url( $url ); |
| 965 | if ( !isset( $parts['scheme'] ) || !in_array( $parts['scheme'], [ 'http', 'https' ], true ) ) { |
| 966 | throw new Exception( 'Invalid URL scheme; only HTTP/HTTPS allowed.' ); |
| 967 | } |
| 968 | |
| 969 | // Use wp_safe_remote_get to block localhost/private IPs (SSRF protection) |
| 970 | $response = wp_safe_remote_get( $url, [ |
| 971 | 'timeout' => 60, |
| 972 | 'redirection' => 0 // Prevent redirect-based bypass |
| 973 | ] ); |
| 974 | if ( is_wp_error( $response ) ) { |
| 975 | throw new Exception( 'Failed to download audio: ' . $response->get_error_message() ); |
| 976 | } |
| 977 | $audio_data = wp_remote_retrieve_body( $response ); |
| 978 | if ( empty( $audio_data ) ) { |
| 979 | throw new Exception( 'Failed to download audio: empty response.' ); |
| 980 | } |
| 981 | |
| 982 | $tmpFile = tempnam( sys_get_temp_dir(), 'audio_' ); |
| 983 | file_put_contents( $tmpFile, $audio_data ); |
| 984 | $length = null; |
| 985 | $metadata = wp_read_audio_metadata( $tmpFile ); |
| 986 | if ( isset( $metadata['length'] ) ) { |
| 987 | $length = $metadata['length']; |
| 988 | } |
| 989 | $data = file_get_contents( $tmpFile ); |
| 990 | unlink( $tmpFile ); |
| 991 | return [ 'data' => $data, 'length' => $length ]; |
| 992 | } |
| 993 | |
| 994 | public function run_transcribe_query( $query ) { |
| 995 | $audioData = null; |
| 996 | |
| 997 | // Priority 1: Direct audio data |
| 998 | if ( !empty( $query->audioData ) ) { |
| 999 | $audioData = [ |
| 1000 | 'data' => $query->audioData, |
| 1001 | 'length' => strlen( $query->audioData ) / 1024 // KB |
| 1002 | ]; |
| 1003 | } |
| 1004 | // Priority 2: File path |
| 1005 | else if ( !empty( $query->path ) ) { |
| 1006 | if ( !file_exists( $query->path ) ) { |
| 1007 | throw new Exception( 'Audio file not found: ' . $query->path ); |
| 1008 | } |
| 1009 | if ( !is_readable( $query->path ) ) { |
| 1010 | throw new Exception( 'Audio file is not readable: ' . $query->path ); |
| 1011 | } |
| 1012 | $audioData = [ |
| 1013 | 'data' => file_get_contents( $query->path ), |
| 1014 | 'length' => filesize( $query->path ) / 1024 // KB |
| 1015 | ]; |
| 1016 | } |
| 1017 | // Priority 3: Attached file object |
| 1018 | else if ( method_exists( $query, 'getAttachments' ) ) { |
| 1019 | $attachments = $query->getAttachments(); |
| 1020 | if ( !empty( $attachments ) ) { |
| 1021 | $file = $attachments[0]; |
| 1022 | $audioData = [ |
| 1023 | 'data' => $file->get_data(), |
| 1024 | 'length' => strlen( $file->get_data() ) / 1024 // KB |
| 1025 | ]; |
| 1026 | } |
| 1027 | } |
| 1028 | // Priority 4: URL (backward compatibility) |
| 1029 | else if ( !empty( $query->url ) ) { |
| 1030 | if ( !filter_var( $query->url, FILTER_VALIDATE_URL ) ) { |
| 1031 | throw new Exception( 'Invalid URL for transcription.' ); |
| 1032 | } |
| 1033 | $audioData = $this->get_audio( $query->url ); |
| 1034 | } |
| 1035 | else { |
| 1036 | throw new Exception( 'No audio source provided for transcription. Please provide either audioData, path, attachedFiles, or url.' ); |
| 1037 | } |
| 1038 | |
| 1039 | $body = $this->build_body( $query, null, $audioData['data'] ); |
| 1040 | $url = $this->build_url( $query ); |
| 1041 | $headers = $this->build_headers( $query ); |
| 1042 | $options = $this->build_options( $headers, null, $body ); |
| 1043 | |
| 1044 | // Perform the request |
| 1045 | try { |
| 1046 | $res = $this->run_query( $url, $options ); |
| 1047 | $data = $res['data']; |
| 1048 | if ( empty( $data ) ) { |
| 1049 | throw new Exception( 'Invalid data for transcription.' ); |
| 1050 | } |
| 1051 | $usage = $this->core->record_audio_usage( $query->model, $audioData['length'] ); |
| 1052 | $reply = new Meow_MWAI_Reply( $query ); |
| 1053 | $reply->set_usage( $usage ); |
| 1054 | $reply->set_choices( $data ); |
| 1055 | return $reply; |
| 1056 | } |
| 1057 | catch ( Exception $e ) { |
| 1058 | $service = $this->get_service_name(); |
| 1059 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 1060 | throw new Exception( "$service: " . $e->getMessage() ); |
| 1061 | } |
| 1062 | } |
| 1063 | |
| 1064 | public function run_embedding_query( $query ) { |
| 1065 | // Pre-validate token count against the embedding model's limit. |
| 1066 | // OpenAI embedding models (text-embedding-3-small/large, ada-002) all cap |
| 1067 | // at 8192 input tokens; sending a longer chunk yields an opaque |
| 1068 | // "Invalid 'input': maximum context length is 8192 tokens" error. Count |
| 1069 | // locally via tiktoken (bundled) so we fail with a clear message up front. |
| 1070 | $embedding_max_tokens = apply_filters( 'mwai_embedding_max_tokens', 8192, $query->model ); |
| 1071 | if ( !empty( $query->message ) && $embedding_max_tokens > 0 ) { |
| 1072 | $token_count = Meow_MWAI_Core::estimate_tokens( $query->message, $query->model ); |
| 1073 | if ( $token_count > $embedding_max_tokens ) { |
| 1074 | throw new Exception( sprintf( |
| 1075 | 'Embedding input is %d tokens, exceeds the %d-token limit for %s. Split this entry into smaller chunks and try again.', |
| 1076 | $token_count, $embedding_max_tokens, $query->model |
| 1077 | ) ); |
| 1078 | } |
| 1079 | } |
| 1080 | |
| 1081 | $body = $this->build_body( $query ); |
| 1082 | $url = $this->build_url( $query ); |
| 1083 | $headers = $this->build_headers( $query ); |
| 1084 | $options = $this->build_options( $headers, $body ); |
| 1085 | |
| 1086 | try { |
| 1087 | $res = $this->run_query( $url, $options ); |
| 1088 | $data = $res['data']; |
| 1089 | if ( empty( $data ) || !isset( $data['data'] ) ) { |
| 1090 | throw new Exception( 'Invalid data for embedding.' ); |
| 1091 | } |
| 1092 | $usage = $data['usage']; |
| 1093 | $this->core->record_tokens_usage( $query->model, $usage['prompt_tokens'] ); |
| 1094 | $reply = new Meow_MWAI_Reply( $query ); |
| 1095 | $reply->set_usage( $usage ); |
| 1096 | $reply->set_choices( $data['data'] ); |
| 1097 | return $reply; |
| 1098 | } |
| 1099 | catch ( Exception $e ) { |
| 1100 | $message = $e->getMessage(); |
| 1101 | $error = $this->try_decode_error( $message ); |
| 1102 | if ( !is_null( $error ) ) { |
| 1103 | $message = $error; |
| 1104 | } |
| 1105 | $service = $this->get_service_name(); |
| 1106 | Meow_MWAI_Logging::error( "$service: " . $message ); |
| 1107 | throw new Exception( "$service: " . $message ); |
| 1108 | } |
| 1109 | } |
| 1110 | |
| 1111 | public function try_decode_error( $data ) { |
| 1112 | $json = json_decode( $data, true ); |
| 1113 | if ( isset( $json['error']['message'] ) ) { |
| 1114 | return $json['error']['message']; |
| 1115 | } |
| 1116 | return null; |
| 1117 | } |
| 1118 | |
| 1119 | protected function finalize_choices( $choices, $responseData, $query ) { |
| 1120 | // Clean up duplicate function calls: prefer tool_calls over legacy function_call |
| 1121 | foreach ( $choices as &$choice ) { |
| 1122 | if ( isset( $choice['message'] ) ) { |
| 1123 | // If we have both tool_calls and function_call, remove function_call |
| 1124 | if ( isset( $choice['message']['tool_calls'] ) && !empty( $choice['message']['tool_calls'] ) && |
| 1125 | isset( $choice['message']['function_call'] ) ) { |
| 1126 | unset( $choice['message']['function_call'] ); |
| 1127 | } |
| 1128 | } |
| 1129 | } |
| 1130 | return $choices; |
| 1131 | } |
| 1132 | |
| 1133 | public function run_completion_query( $query, $streamCallback = null ): Meow_MWAI_Reply { |
| 1134 | // Check if this is a GPT-5 model - they don't support Chat Completions API |
| 1135 | if ( $this->is_gpt5_model( $query->model ) ) { |
| 1136 | throw new Exception( 'GPT-5 models only support the Responses API. Please enable "Use Responses API" in AI Engine settings to use ' . $query->model . '.' ); |
| 1137 | } |
| 1138 | |
| 1139 | $isStreaming = !is_null( $streamCallback ); |
| 1140 | |
| 1141 | // Initialize debug mode |
| 1142 | $this->init_debug_mode( $query ); |
| 1143 | |
| 1144 | // Store the callback for event emission (both streaming and non-streaming debug mode) |
| 1145 | if ( !is_null( $streamCallback ) ) { |
| 1146 | $this->streamCallback = $streamCallback; |
| 1147 | } |
| 1148 | |
| 1149 | if ( $isStreaming ) { |
| 1150 | add_action( 'http_api_curl', [ $this, 'stream_handler' ], 10, 3 ); |
| 1151 | } |
| 1152 | |
| 1153 | $this->reset_stream(); |
| 1154 | $body = $this->build_body( $query, $streamCallback ); |
| 1155 | $url = $this->build_url( $query ); |
| 1156 | $headers = $this->build_headers( $query ); |
| 1157 | $options = $this->build_options( $headers, $body ); |
| 1158 | |
| 1159 | // Emit "Request sent" event for feedback queries |
| 1160 | if ( $this->currentDebugMode && !empty( $streamCallback ) && |
| 1161 | ( $query instanceof Meow_MWAI_Query_Feedback || $query instanceof Meow_MWAI_Query_AssistFeedback ) ) { |
| 1162 | $event = Meow_MWAI_Event::request_sent() |
| 1163 | ->set_metadata( 'is_feedback', true ) |
| 1164 | ->set_metadata( 'feedback_count', count( $query->blocks ) ); |
| 1165 | call_user_func( $streamCallback, $event ); |
| 1166 | } |
| 1167 | |
| 1168 | try { |
| 1169 | $res = $this->run_query( $url, $options, $streamCallback ); |
| 1170 | $reply = new Meow_MWAI_Reply( $query ); |
| 1171 | |
| 1172 | $returned_id = null; |
| 1173 | $returned_model = $this->inModel; |
| 1174 | $returned_in_tokens = null; |
| 1175 | $returned_out_tokens = null; |
| 1176 | $returned_price = null; |
| 1177 | $returned_choices = []; |
| 1178 | |
| 1179 | // Streaming Mode |
| 1180 | if ( $isStreaming ) { |
| 1181 | if ( empty( $this->streamContent ) ) { |
| 1182 | $error = $this->try_decode_error( $this->streamBuffer ); |
| 1183 | if ( !is_null( $error ) ) { |
| 1184 | throw new Exception( $error ); |
| 1185 | } |
| 1186 | } |
| 1187 | $returned_id = $this->inId; |
| 1188 | $returned_model = $this->inModel ? $this->inModel : $query->model; |
| 1189 | |
| 1190 | // Use regular content if available, otherwise fall back to thinking/reasoning |
| 1191 | $finalContent = $this->streamContent; |
| 1192 | if ( empty( $finalContent ) && !empty( $this->streamThinking ) ) { |
| 1193 | // Use thinking content as fallback when there's no regular content |
| 1194 | // This happens with Ollama when it returns only reasoning/thinking |
| 1195 | // Wrap in asterisks to show as italics in markdown |
| 1196 | $finalContent = '*' . $this->streamThinking . '*'; |
| 1197 | |
| 1198 | // Log this for debugging |
| 1199 | if ( $this->core->get_option( 'queries_debug_mode' ) ) { |
| 1200 | error_log( '[AI Engine] Using thinking/reasoning content as fallback (no regular content available)' ); |
| 1201 | } |
| 1202 | } |
| 1203 | |
| 1204 | $message = [ 'role' => 'assistant', 'content' => $finalContent ]; |
| 1205 | // Prefer tool_calls; fall back to legacy only if necessary |
| 1206 | if ( !empty( $this->streamToolCalls ) ) { |
| 1207 | $message['tool_calls'] = $this->streamToolCalls; |
| 1208 | } |
| 1209 | elseif ( !empty( $this->streamFunctionCall ) ) { |
| 1210 | $message['function_call'] = $this->streamFunctionCall; |
| 1211 | } |
| 1212 | |
| 1213 | // Optionally include thinking as metadata if both content and thinking exist |
| 1214 | if ( !empty( $this->streamContent ) && !empty( $this->streamThinking ) ) { |
| 1215 | $message['thinking'] = $this->streamThinking; |
| 1216 | } |
| 1217 | if ( !is_null( $this->streamInTokens ) ) { |
| 1218 | $returned_in_tokens = $this->streamInTokens; |
| 1219 | } |
| 1220 | if ( !is_null( $this->streamOutTokens ) ) { |
| 1221 | $returned_out_tokens = $this->streamOutTokens; |
| 1222 | } |
| 1223 | if ( !is_null( $this->streamCost ) ) { |
| 1224 | $returned_price = $this->streamCost; |
| 1225 | } |
| 1226 | $returned_choices = [ [ 'message' => $message ] ]; |
| 1227 | $returned_choices = $this->finalize_choices( $returned_choices, null, $query ); |
| 1228 | |
| 1229 | // Log streaming response data if queries debug is enabled |
| 1230 | $queries_debug = $this->core->get_option( 'queries_debug_mode' ); |
| 1231 | if ( $queries_debug ) { |
| 1232 | error_log( '[AI Engine Queries] Streaming Response Collected (ChatML):' ); |
| 1233 | $streaming_data = [ |
| 1234 | 'id' => $returned_id, |
| 1235 | 'model' => $returned_model, |
| 1236 | 'content_length' => strlen( $this->streamContent ), |
| 1237 | 'content_preview' => substr( $this->streamContent, 0, 200 ) . ( strlen( $this->streamContent ) > 200 ? '...' : '' ), |
| 1238 | 'function_calls' => !empty( $this->streamFunctionCall ) ? '1 function call' : 'none', |
| 1239 | 'tool_calls' => !empty( $this->streamToolCalls ) ? count( $this->streamToolCalls ) . ' tool calls' : 'none', |
| 1240 | 'usage' => [ |
| 1241 | 'input_tokens' => $returned_in_tokens, |
| 1242 | 'output_tokens' => $returned_out_tokens, |
| 1243 | 'cost' => $returned_price |
| 1244 | ] |
| 1245 | ]; |
| 1246 | |
| 1247 | // Log tool calls details if present |
| 1248 | if ( !empty( $this->streamToolCalls ) ) { |
| 1249 | $streaming_data['tool_calls_details'] = []; |
| 1250 | foreach ( $this->streamToolCalls as $tool_call ) { |
| 1251 | $streaming_data['tool_calls_details'][] = [ |
| 1252 | 'id' => $tool_call['id'] ?? 'unknown', |
| 1253 | 'name' => $tool_call['function']['name'] ?? 'unknown', |
| 1254 | 'arguments' => substr( $tool_call['function']['arguments'] ?? '{}', 0, 100 ) . '...' |
| 1255 | ]; |
| 1256 | } |
| 1257 | } |
| 1258 | |
| 1259 | // Log function call if present |
| 1260 | if ( !empty( $this->streamFunctionCall ) ) { |
| 1261 | $streaming_data['function_call'] = [ |
| 1262 | 'name' => $this->streamFunctionCall['name'] ?? 'unknown', |
| 1263 | 'arguments' => substr( $this->streamFunctionCall['arguments'] ?? '{}', 0, 100 ) . '...' |
| 1264 | ]; |
| 1265 | } |
| 1266 | |
| 1267 | error_log( json_encode( $streaming_data, JSON_PRETTY_PRINT ) ); |
| 1268 | } |
| 1269 | } |
| 1270 | // Standard Mode |
| 1271 | else { |
| 1272 | $data = $res['data']; |
| 1273 | if ( empty( $data ) ) { |
| 1274 | throw new Exception( 'No content received (res is null).' ); |
| 1275 | } |
| 1276 | |
| 1277 | // Comprehensive logging for non-streaming mode - capture FULL response |
| 1278 | $queries_debug = $this->core->get_option( 'queries_debug_mode' ); |
| 1279 | if ( $queries_debug ) { |
| 1280 | error_log( '[AI Engine Queries] ========================================' ); |
| 1281 | error_log( '[AI Engine Queries] FULL RESPONSE STRUCTURE (Non-streaming ChatML):' ); |
| 1282 | error_log( json_encode( $data, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES ) ); |
| 1283 | error_log( '[AI Engine Queries] ========================================' ); |
| 1284 | |
| 1285 | // Look specifically for container_id |
| 1286 | $this->search_for_container_id_recursive( $data, '' ); |
| 1287 | } |
| 1288 | |
| 1289 | if ( !$data['model'] ) { |
| 1290 | $service = $this->get_service_name(); |
| 1291 | Meow_MWAI_Logging::error( "$service: Invalid response (no model information)." ); |
| 1292 | Meow_MWAI_Logging::error( print_r( $data, 1 ) ); |
| 1293 | throw new Exception( 'Invalid response (no model information).' ); |
| 1294 | } |
| 1295 | $returned_id = $data['id']; |
| 1296 | $returned_model = $data['model']; |
| 1297 | $usage = $data['usage'] ?? []; |
| 1298 | $returned_in_tokens = $usage['prompt_tokens'] ?? null; |
| 1299 | $returned_out_tokens = $usage['completion_tokens'] ?? null; |
| 1300 | $returned_price = $usage['total_cost'] ?? $usage['cost'] ?? null; |
| 1301 | $returned_choices = $data['choices']; |
| 1302 | $returned_choices = $this->finalize_choices( $returned_choices, $data, $query ); |
| 1303 | } |
| 1304 | |
| 1305 | // Set the results. |
| 1306 | $reply->set_choices( $returned_choices ); |
| 1307 | if ( !empty( $returned_id ) ) { |
| 1308 | $reply->set_id( $returned_id ); |
| 1309 | } |
| 1310 | if ( !empty( $returned_id ) ) { |
| 1311 | $reply->set_id( $returned_id ); |
| 1312 | } |
| 1313 | |
| 1314 | // Handle tokens. |
| 1315 | $this->handle_tokens_usage( |
| 1316 | $reply, |
| 1317 | $query, |
| 1318 | $returned_model, |
| 1319 | $returned_in_tokens, |
| 1320 | $returned_out_tokens, |
| 1321 | $returned_price |
| 1322 | ); |
| 1323 | |
| 1324 | return $reply; |
| 1325 | } |
| 1326 | catch ( Exception $e ) { |
| 1327 | $service = $this->get_service_name(); |
| 1328 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 1329 | $message = "$service: " . $e->getMessage(); |
| 1330 | throw new Exception( $message ); |
| 1331 | } |
| 1332 | finally { |
| 1333 | if ( !is_null( $streamCallback ) ) { |
| 1334 | remove_action( 'http_api_curl', [ $this, 'stream_handler' ] ); |
| 1335 | } |
| 1336 | } |
| 1337 | } |
| 1338 | |
| 1339 | public function handle_tokens_usage( |
| 1340 | $reply, |
| 1341 | $query, |
| 1342 | $returned_model, |
| 1343 | $returned_in_tokens, |
| 1344 | $returned_out_tokens, |
| 1345 | $returned_price = null |
| 1346 | ) { |
| 1347 | $returned_in_tokens = !is_null( $returned_in_tokens ) ? $returned_in_tokens : |
| 1348 | $reply->get_in_tokens( $query ); |
| 1349 | $returned_out_tokens = !is_null( $returned_out_tokens ) ? $returned_out_tokens : |
| 1350 | $reply->get_out_tokens(); |
| 1351 | $returned_price = !is_null( $returned_price ) ? $returned_price : |
| 1352 | $reply->get_price(); |
| 1353 | $usage = $this->core->record_tokens_usage( |
| 1354 | $returned_model, |
| 1355 | $returned_in_tokens, |
| 1356 | $returned_out_tokens, |
| 1357 | $returned_price |
| 1358 | ); |
| 1359 | $reply->set_usage( $usage ); |
| 1360 | |
| 1361 | // Store the actual model returned by the API |
| 1362 | $reply->set_model( $returned_model ); |
| 1363 | |
| 1364 | // Set default accuracy to 'estimated' for engines that don't override |
| 1365 | // Most engines (Google, Anthropic, etc.) estimate tokens and calculate price |
| 1366 | $reply->set_usage_accuracy( 'estimated' ); |
| 1367 | } |
| 1368 | |
| 1369 | // Request to the OpenAI Images API (gpt-image models, token-based pricing) |
| 1370 | public function run_image_query( $query, $streamCallback = null ) { |
| 1371 | $body = $this->build_body( $query ); |
| 1372 | $url = $this->build_url( $query ); |
| 1373 | $headers = $this->build_headers( $query ); |
| 1374 | $options = $this->build_options( $headers, $body ); |
| 1375 | |
| 1376 | try { |
| 1377 | $res = $this->run_query( $url, $options ); |
| 1378 | $data = $res['data']; |
| 1379 | $choices = $data['data']; |
| 1380 | $reply = new Meow_MWAI_Reply( $query ); |
| 1381 | $model = $query->model; |
| 1382 | |
| 1383 | // gpt-image models always return usage with input/output tokens |
| 1384 | // (Images API uses 'input_tokens'/'output_tokens', not 'prompt_tokens'/'completion_tokens') |
| 1385 | $usage = $data['usage'] ?? []; |
| 1386 | $promptTokens = $usage['input_tokens'] ?? $usage['prompt_tokens'] ?? 0; |
| 1387 | $completionTokens = $usage['output_tokens'] ?? $usage['completion_tokens'] ?? 0; |
| 1388 | $this->core->record_tokens_usage( $model, $promptTokens, $completionTokens ); |
| 1389 | $usage['queries'] = 1; |
| 1390 | $usage['accuracy'] = 'tokens'; |
| 1391 | $reply->set_usage( $usage ); |
| 1392 | $reply->set_usage_accuracy( 'tokens' ); |
| 1393 | |
| 1394 | $reply->set_choices( $choices ); |
| 1395 | $reply->set_type( 'images' ); |
| 1396 | |
| 1397 | if ( $query->localDownload === 'uploads' || $query->localDownload === 'library' ) { |
| 1398 | foreach ( $reply->results as &$result ) { |
| 1399 | $fileId = $this->core->files->upload_file( $result, null, 'generated', [ |
| 1400 | 'query_envId' => $query->envId, |
| 1401 | 'query_session' => $query->session, |
| 1402 | 'query_model' => $query->model, |
| 1403 | ], $query->envId, $query->localDownload, $query->localDownloadExpiry ); |
| 1404 | $fileUrl = $this->core->files->get_url( $fileId ); |
| 1405 | $result = $fileUrl; |
| 1406 | } |
| 1407 | } |
| 1408 | $reply->result = $reply->results[0]; |
| 1409 | return $reply; |
| 1410 | } |
| 1411 | catch ( Exception $e ) { |
| 1412 | $service = $this->get_service_name(); |
| 1413 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 1414 | throw new Exception( "$service: " . $e->getMessage() ); |
| 1415 | } |
| 1416 | } |
| 1417 | |
| 1418 | public function run_editimage_query( $query ) { |
| 1419 | $attachments = method_exists( $query, 'getAttachments' ) ? $query->getAttachments() : []; |
| 1420 | if ( empty( $attachments ) ) { |
| 1421 | throw new Exception( 'No image provided for editing.' ); |
| 1422 | } |
| 1423 | // Ensure the model supports image editing |
| 1424 | $modelInfo = $this->retrieve_model_info( $query->model ); |
| 1425 | if ( empty( $modelInfo['tags'] ) || !in_array( 'image-edit', $modelInfo['tags'] ) ) { |
| 1426 | throw new Exception( 'The model ' . $query->model . ' does not support image editing.' ); |
| 1427 | } |
| 1428 | $file = $attachments[0]; |
| 1429 | $imageData = $file->get_data(); |
| 1430 | $body = $this->build_body( $query, null, $imageData ); |
| 1431 | $url = $this->build_url( $query ); |
| 1432 | $headers = $this->build_headers( $query ); |
| 1433 | $options = $this->build_options( $headers, null, $body ); |
| 1434 | |
| 1435 | try { |
| 1436 | $res = $this->run_query( $url, $options ); |
| 1437 | $data = $res['data']; |
| 1438 | $choices = $data['data']; |
| 1439 | $reply = new Meow_MWAI_Reply( $query ); |
| 1440 | $model = $query->model; |
| 1441 | |
| 1442 | // gpt-image models always return usage with input/output tokens |
| 1443 | // (Images API uses 'input_tokens'/'output_tokens', not 'prompt_tokens'/'completion_tokens') |
| 1444 | $usage = $data['usage'] ?? []; |
| 1445 | $promptTokens = $usage['input_tokens'] ?? $usage['prompt_tokens'] ?? 0; |
| 1446 | $completionTokens = $usage['output_tokens'] ?? $usage['completion_tokens'] ?? 0; |
| 1447 | $this->core->record_tokens_usage( $model, $promptTokens, $completionTokens ); |
| 1448 | $usage['queries'] = 1; |
| 1449 | $usage['accuracy'] = 'tokens'; |
| 1450 | $reply->set_usage( $usage ); |
| 1451 | $reply->set_usage_accuracy( 'tokens' ); |
| 1452 | |
| 1453 | $reply->set_choices( $choices ); |
| 1454 | $reply->set_type( 'images' ); |
| 1455 | |
| 1456 | if ( $query->localDownload === 'uploads' || $query->localDownload === 'library' ) { |
| 1457 | foreach ( $reply->results as &$result ) { |
| 1458 | $fileId = $this->core->files->upload_file( $result, null, 'generated', [ |
| 1459 | 'query_envId' => $query->envId, |
| 1460 | 'query_session' => $query->session, |
| 1461 | 'query_model' => $query->model, |
| 1462 | ], $query->envId, $query->localDownload, $query->localDownloadExpiry ); |
| 1463 | $fileUrl = $this->core->files->get_url( $fileId ); |
| 1464 | $result = $fileUrl; |
| 1465 | } |
| 1466 | } |
| 1467 | $reply->result = $reply->results[0]; |
| 1468 | return $reply; |
| 1469 | } |
| 1470 | catch ( Exception $e ) { |
| 1471 | $service = $this->get_service_name(); |
| 1472 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 1473 | throw new Exception( "$service: " . $e->getMessage() ); |
| 1474 | } |
| 1475 | } |
| 1476 | |
| 1477 | /* |
| 1478 | This is the rest of the OpenAI API support, not related to the models directly. |
| 1479 | */ |
| 1480 | |
| 1481 | // Check if there are errors in the response from OpenAI, and throw an exception if so. |
| 1482 | // OpenAI uses { error: { message: ... } }; some compatible providers (xAI, etc.) use a |
| 1483 | // plain string in the error field — handle both shapes. |
| 1484 | protected function handle_response_errors( $data ) { |
| 1485 | if ( !isset( $data['error'] ) || empty( $data['error'] ) ) { |
| 1486 | return; |
| 1487 | } |
| 1488 | $err = $data['error']; |
| 1489 | if ( is_array( $err ) ) { |
| 1490 | $message = $err['message'] ?? json_encode( $err ); |
| 1491 | } |
| 1492 | else { |
| 1493 | $message = (string) $err; |
| 1494 | } |
| 1495 | if ( preg_match( '/API key provided(: .*)\./', $message, $matches ) ) { |
| 1496 | $message = str_replace( $matches[1], '', $message ); |
| 1497 | } |
| 1498 | throw new Exception( $message ); |
| 1499 | } |
| 1500 | |
| 1501 | public function list_files( $purposeFilter = null ) { |
| 1502 | if ( empty( $purposeFilter ) ) { |
| 1503 | return $this->execute( 'GET', '/files' ); |
| 1504 | } |
| 1505 | return $this->execute( 'GET', '/files', [ 'purpose' => $purposeFilter ] ); |
| 1506 | } |
| 1507 | |
| 1508 | public static function get_suffix_for_model( $model ) { |
| 1509 | // Legacy fine-tuned models |
| 1510 | preg_match( "/:([a-zA-Z0-9\-]{1,40})-([0-9]{4})-([0-9]{2})-([0-9]{2})/", $model, $matches ); |
| 1511 | if ( count( $matches ) > 0 ) { |
| 1512 | return $matches[1]; |
| 1513 | } |
| 1514 | |
| 1515 | // New fine-tuned models |
| 1516 | preg_match( '/:([^:]+)(?=:[^:]+$)/', $model, $matches ); |
| 1517 | if ( count( $matches ) > 0 ) { |
| 1518 | return $matches[1]; |
| 1519 | } |
| 1520 | |
| 1521 | return 'N/A'; |
| 1522 | } |
| 1523 | |
| 1524 | public static function get_model_without_release_date( $model ) { |
| 1525 | if ( empty( $model ) ) { |
| 1526 | return null; |
| 1527 | } |
| 1528 | return preg_replace( '/-\d{4}-\d{2}-\d{2}$/', '', $model ); |
| 1529 | } |
| 1530 | |
| 1531 | // TODO: Remove every list_finetunes / cancel_finetune / delete_finetune / run_finetune method below after 2027-02 (OpenAI ends fine-tune job creation on 2027-01-06). The `finetunes` env keys in init.php and the `finetune` key on every entry in constants/models.php go with them. |
| 1532 | public function list_deleted_finetunes( $envId = null, $legacy = false ) { |
| 1533 | $finetunes = $this->list_finetunes( $legacy ); |
| 1534 | $deleted = []; |
| 1535 | |
| 1536 | foreach ( $finetunes as $finetune ) { |
| 1537 | $name = $finetune['model']; |
| 1538 | $isSucceeded = $finetune['status'] === 'succeeded'; |
| 1539 | if ( $isSucceeded ) { |
| 1540 | try { |
| 1541 | $finetune = $this->get_model( $name ); |
| 1542 | } |
| 1543 | catch ( Exception $e ) { |
| 1544 | $deleted[] = $name; |
| 1545 | } |
| 1546 | } |
| 1547 | } |
| 1548 | if ( $legacy ) { |
| 1549 | $this->core->update_ai_env( $this->envId, 'legacy_finetunes_deleted', $deleted ); |
| 1550 | } |
| 1551 | else { |
| 1552 | $this->core->update_ai_env( $this->envId, 'finetunes_deleted', $deleted ); |
| 1553 | } |
| 1554 | return $deleted; |
| 1555 | } |
| 1556 | |
| 1557 | // TODO: This was used to retrieve the fine-tuned models, but not sure this is how we should |
| 1558 | // retrieve all the models since Summer 2023, let's see! WIP. |
| 1559 | public function list_finetunes( $legacy = false ) { |
| 1560 | if ( $legacy ) { |
| 1561 | $res = $this->execute( 'GET', '/fine-tunes' ); |
| 1562 | } |
| 1563 | else { |
| 1564 | $res = $this->execute( 'GET', '/fine_tuning/jobs' ); |
| 1565 | } |
| 1566 | $finetunes = $res['data']; |
| 1567 | |
| 1568 | // Add suffix |
| 1569 | $finetunes = array_map( function ( $finetune ) { |
| 1570 | if ( isset( $finetune['user_provided_suffix'] ) ) { |
| 1571 | $finetune['suffix'] = $finetune['user_provided_suffix']; |
| 1572 | } |
| 1573 | else { |
| 1574 | $finetune['suffix'] = self::get_suffix_for_model( $finetune['fine_tuned_model'] ); |
| 1575 | } |
| 1576 | $finetune['createdOn'] = date( 'Y-m-d H:i:s', $finetune['created_at'] ) . ' UTC'; |
| 1577 | if ( isset( $finetune['estimated_finish'] ) ) { |
| 1578 | $finetune['estimatedOn'] = date( 'Y-m-d H:i:s', $finetune['estimated_finish'] ) . ' UTC'; |
| 1579 | } |
| 1580 | else { |
| 1581 | $finetune['estimatedOn'] = null; |
| 1582 | } |
| 1583 | //$finetune['updatedOn'] = date( 'Y-m-d H:i:s', $finetune['updated_at'] ); |
| 1584 | $finetune['base_model'] = $finetune['model']; |
| 1585 | $finetune['model'] = $finetune['fine_tuned_model']; |
| 1586 | unset( $finetune['object'] ); |
| 1587 | unset( $finetune['hyperparams'] ); |
| 1588 | unset( $finetune['result_files'] ); |
| 1589 | unset( $finetune['training_files'] ); |
| 1590 | unset( $finetune['validation_files'] ); |
| 1591 | unset( $finetune['created_at'] ); |
| 1592 | unset( $finetune['updated_at'] ); |
| 1593 | unset( $finetune['fine_tuned_model'] ); |
| 1594 | return $finetune; |
| 1595 | }, $finetunes ); |
| 1596 | |
| 1597 | usort( $finetunes, function ( $a, $b ) { |
| 1598 | return strtotime( $b['createdOn'] ) - strtotime( $a['createdOn'] ); |
| 1599 | } ); |
| 1600 | |
| 1601 | if ( $legacy ) { |
| 1602 | $this->core->update_ai_env( $this->envId, 'legacy_finetunes', $finetunes ); |
| 1603 | } |
| 1604 | else { |
| 1605 | $this->core->update_ai_env( $this->envId, 'finetunes', $finetunes ); |
| 1606 | } |
| 1607 | |
| 1608 | return $finetunes; |
| 1609 | } |
| 1610 | |
| 1611 | public function moderate( $input ) { |
| 1612 | $result = $this->execute( 'POST', '/moderations', [ |
| 1613 | 'input' => $input |
| 1614 | ] ); |
| 1615 | return $result; |
| 1616 | } |
| 1617 | |
| 1618 | public function upload_file( $filename, $data, $purpose = 'fine-tune' ) { |
| 1619 | global $wp_filter; |
| 1620 | |
| 1621 | // Build multipart form data |
| 1622 | $boundary = wp_generate_password( 24, false ); |
| 1623 | $body = ''; |
| 1624 | $body .= "--$boundary\r\n"; |
| 1625 | $body .= "Content-Disposition: form-data; name=\"purpose\"\r\n\r\n"; |
| 1626 | $body .= $purpose . "\r\n"; |
| 1627 | $body .= "--$boundary\r\n"; |
| 1628 | $body .= "Content-Disposition: form-data; name=\"file\"; filename=\"{$filename}\"\r\n"; |
| 1629 | $body .= "Content-Type: application/octet-stream\r\n\r\n"; |
| 1630 | $body .= $data . "\r\n"; |
| 1631 | $body .= "--$boundary--\r\n"; |
| 1632 | |
| 1633 | // Temporarily remove ALL http_api_curl hooks to prevent streaming hook interference |
| 1634 | // Save current hooks |
| 1635 | $saved_hooks = null; |
| 1636 | if ( isset( $wp_filter['http_api_curl'] ) ) { |
| 1637 | $saved_hooks = $wp_filter['http_api_curl']; |
| 1638 | unset( $wp_filter['http_api_curl'] ); |
| 1639 | } |
| 1640 | |
| 1641 | // Upload using WordPress HTTP API |
| 1642 | $url = 'https://api.openai.com/v1/files'; |
| 1643 | $response = wp_remote_post( $url, [ |
| 1644 | 'headers' => [ |
| 1645 | 'Authorization' => 'Bearer ' . $this->apiKey, |
| 1646 | 'Content-Type' => 'multipart/form-data; boundary=' . $boundary |
| 1647 | ], |
| 1648 | 'body' => $body, |
| 1649 | 'timeout' => 60 |
| 1650 | ] ); |
| 1651 | |
| 1652 | // Restore hooks |
| 1653 | if ( $saved_hooks !== null ) { |
| 1654 | $wp_filter['http_api_curl'] = $saved_hooks; |
| 1655 | } |
| 1656 | |
| 1657 | if ( is_wp_error( $response ) ) { |
| 1658 | throw new Exception( 'File upload failed: ' . $response->get_error_message() ); |
| 1659 | } |
| 1660 | |
| 1661 | $response_body = wp_remote_retrieve_body( $response ); |
| 1662 | return json_decode( $response_body, true ); |
| 1663 | } |
| 1664 | |
| 1665 | public function create_vector_store( $name = null, $expiry = null, $metadata = null ) { |
| 1666 | $body = [ |
| 1667 | 'name' => !empty( $name ) ? $name : 'default', |
| 1668 | // Ensure metadata is an object (stdClass) for JSON encoding, not an array |
| 1669 | 'metadata' => !empty( $metadata ) ? $metadata : new stdClass() |
| 1670 | ]; |
| 1671 | if ( $expiry !== 'never' ) { |
| 1672 | if ( is_string( $expiry ) ) { |
| 1673 | error_log( 'AI Engine: Expiry is a string, setting it to 7 days.' ); |
| 1674 | $expiry = 7; |
| 1675 | } |
| 1676 | $expiryInDays = $expiry ? max( 1, ceil( (int) $expiry / 86400 ) ) : 7; |
| 1677 | if ( $expiry && is_numeric( $expiry ) ) { |
| 1678 | $body['expires_after'] = [ |
| 1679 | 'anchor' => 'last_active_at', |
| 1680 | 'days' => $expiryInDays |
| 1681 | ]; |
| 1682 | } |
| 1683 | } |
| 1684 | $result = $this->execute( 'POST', '/vector_stores', $body, null, true, [ 'OpenAI-Beta' => 'assistants=v2' ] ); |
| 1685 | return $result['id']; |
| 1686 | } |
| 1687 | |
| 1688 | public function get_vector_store( $vectorStoreId ) { |
| 1689 | return $this->execute( 'GET', '/vector_stores/' . $vectorStoreId, null, null, true, [ 'OpenAI-Beta' => 'assistants=v2' ] ); |
| 1690 | } |
| 1691 | |
| 1692 | public function add_vector_store_file( $vectorStoreId, $fileId ) { |
| 1693 | $result = $this->execute( 'POST', '/vector_stores/' . $vectorStoreId . '/files', [ |
| 1694 | 'file_id' => $fileId |
| 1695 | ], null, true, [ 'OpenAI-Beta' => 'assistants=v2' ] ); |
| 1696 | return $result['id']; |
| 1697 | |
| 1698 | } |
| 1699 | |
| 1700 | public function delete_file( $fileId ) { |
| 1701 | return $this->execute( 'DELETE', '/files/' . $fileId ); |
| 1702 | } |
| 1703 | |
| 1704 | public function get_model( $modelId ) { |
| 1705 | return $this->execute( 'GET', '/models/' . $modelId ); |
| 1706 | } |
| 1707 | |
| 1708 | public function cancel_finetune( $fineTuneId ) { |
| 1709 | return $this->execute( 'POST', '/fine-tunes/' . $fineTuneId . '/cancel' ); |
| 1710 | } |
| 1711 | |
| 1712 | public function delete_finetune( $modelId ) { |
| 1713 | return $this->execute( 'DELETE', '/models/' . $modelId ); |
| 1714 | } |
| 1715 | |
| 1716 | public function download_file( $fileId, $newFile = null ) { |
| 1717 | $fileInfo = $this->execute( 'GET', '/files/' . $fileId, null, null, false ); |
| 1718 | $fileInfo = json_decode( (string) $fileInfo, true ); |
| 1719 | if ( empty( $fileInfo ) ) { |
| 1720 | throw new Exception( 'File (' . ( $fileId ?? 'N/A' ) . ') not found.' ); |
| 1721 | } |
| 1722 | $filename = $fileInfo['filename']; |
| 1723 | $extension = pathinfo( $filename, PATHINFO_EXTENSION ); |
| 1724 | if ( empty( $newFile ) ) { |
| 1725 | include_once( ABSPATH . 'wp-admin/includes/file.php' ); |
| 1726 | $tempFile = wp_tempnam( $filename ); |
| 1727 | if ( !$tempFile ) { |
| 1728 | $tempFile = tempnam( sys_get_temp_dir(), 'download_' ); |
| 1729 | } |
| 1730 | if ( pathinfo( $tempFile, PATHINFO_EXTENSION ) != $extension ) { |
| 1731 | $newFile = $tempFile . '.' . $extension; |
| 1732 | } |
| 1733 | else { |
| 1734 | $newFile = $tempFile; |
| 1735 | } |
| 1736 | } |
| 1737 | $data = $this->execute( 'GET', '/files/' . $fileId . '/content', null, null, false ); |
| 1738 | file_put_contents( $newFile, $data ); |
| 1739 | return $newFile; |
| 1740 | } |
| 1741 | |
| 1742 | public function run_finetune( $fileId, $model, $suffix, $hyperparams = [], $legacy = false ) { |
| 1743 | $n_epochs = isset( $hyperparams['nEpochs'] ) ? (int) $hyperparams['nEpochs'] : null; |
| 1744 | $batch_size = isset( $hyperparams['batchSize'] ) ? (int) $hyperparams['batchSize'] : null; |
| 1745 | $learning_rate_multiplier = isset( $hyperparams['learningRateMultiplier'] ) ? |
| 1746 | (float) $hyperparams['learningRateMultiplier'] : null; |
| 1747 | $prompt_loss_weight = isset( $hyperparams['promptLossWeight'] ) ? |
| 1748 | (float) $hyperparams['promptLossWeight'] : null; |
| 1749 | $arguments = [ |
| 1750 | 'training_file' => $fileId, |
| 1751 | 'model' => $model, |
| 1752 | 'suffix' => $suffix |
| 1753 | ]; |
| 1754 | if ( $legacy ) { |
| 1755 | $result = $this->execute( 'POST', '/fine-tunes', $arguments ); |
| 1756 | } |
| 1757 | else { |
| 1758 | if ( $n_epochs ) { |
| 1759 | $arguments['hyperparams'] = []; |
| 1760 | $arguments['hyperparams']['n_epochs'] = $n_epochs; |
| 1761 | } |
| 1762 | if ( $batch_size ) { |
| 1763 | if ( empty( $arguments['hyperparams'] ) ) { |
| 1764 | $arguments['hyperparams'] = []; |
| 1765 | } |
| 1766 | $arguments['hyperparams']['batch_size'] = $batch_size; |
| 1767 | } |
| 1768 | if ( $learning_rate_multiplier ) { |
| 1769 | if ( empty( $arguments['hyperparams'] ) ) { |
| 1770 | $arguments['hyperparams'] = []; |
| 1771 | } |
| 1772 | $arguments['hyperparams']['learning_rate_multiplier'] = $learning_rate_multiplier; |
| 1773 | } |
| 1774 | if ( $prompt_loss_weight ) { |
| 1775 | if ( empty( $arguments['hyperparams'] ) ) { |
| 1776 | $arguments['hyperparams'] = []; |
| 1777 | } |
| 1778 | $arguments['hyperparams']['prompt_loss_weight'] = $prompt_loss_weight; |
| 1779 | } |
| 1780 | if ( $model === 'turbo' ) { |
| 1781 | $arguments['model'] = 'gpt-3.5-turbo'; |
| 1782 | } |
| 1783 | $result = $this->execute( 'POST', '/fine_tuning/jobs', $arguments ); |
| 1784 | } |
| 1785 | return $result; |
| 1786 | } |
| 1787 | |
| 1788 | /** |
| 1789 | * Build the body of a form request. |
| 1790 | * If the field name is 'file', then the field value is the filename of the file to upload. |
| 1791 | * The file contents are taken from the 'data' field. |
| 1792 | * |
| 1793 | * @param array $fields |
| 1794 | * @param string $boundary |
| 1795 | * @return string |
| 1796 | */ |
| 1797 | public function build_form_body( $fields, $boundary ) { |
| 1798 | $body = ''; |
| 1799 | foreach ( $fields as $name => $value ) { |
| 1800 | if ( in_array( $name, [ 'data', 'mime', 'mask_data', 'mask_mime' ] ) ) { |
| 1801 | continue; |
| 1802 | } |
| 1803 | $body .= "--$boundary\r\n"; |
| 1804 | $body .= "Content-Disposition: form-data; name=\"$name\""; |
| 1805 | if ( $name === 'image' || $name === 'file' ) { |
| 1806 | $body .= "; filename=\"{$value}\"\r\n"; |
| 1807 | $mime = !empty( $fields['mime'] ) ? $fields['mime'] : 'application/octet-stream'; |
| 1808 | $body .= "Content-Type: {$mime}\r\n\r\n"; |
| 1809 | $body .= $fields['data'] . "\r\n"; |
| 1810 | } |
| 1811 | else if ( $name === 'mask' ) { |
| 1812 | $body .= "; filename=\"{$value}\"\r\n"; |
| 1813 | $mime = !empty( $fields['mask_mime'] ) ? $fields['mask_mime'] : 'application/octet-stream'; |
| 1814 | $body .= "Content-Type: {$mime}\r\n\r\n"; |
| 1815 | $body .= $fields['mask_data'] . "\r\n"; |
| 1816 | } |
| 1817 | else { |
| 1818 | // JSON encode arrays and objects, keep scalars as-is |
| 1819 | $encodedValue = is_array( $value ) || is_object( $value ) ? json_encode( $value ) : $value; |
| 1820 | $body .= "\r\n\r\n$encodedValue\r\n"; |
| 1821 | } |
| 1822 | } |
| 1823 | $body .= "--$boundary--\r\n"; |
| 1824 | return $body; |
| 1825 | } |
| 1826 | |
| 1827 | /** |
| 1828 | * Run a request to the OpenAI API. |
| 1829 | * Fore more information about the $formFields, refer to the build_form_body method. |
| 1830 | * |
| 1831 | * @param string $method POST, PUT, GET, DELETE... |
| 1832 | * @param string $url The API endpoint |
| 1833 | * @param array $query The query parameters (json) |
| 1834 | * @param array $formFields The form fields (multipart/form-data) |
| 1835 | * @param bool $json Whether to return the response as json or not |
| 1836 | * @return array |
| 1837 | */ |
| 1838 | public function execute( |
| 1839 | $method, |
| 1840 | $url, |
| 1841 | $query = null, |
| 1842 | $formFields = null, |
| 1843 | $json = true, |
| 1844 | $extraHeaders = null, |
| 1845 | $streamCallback = null |
| 1846 | ) { |
| 1847 | $isAzure = $this->envType === 'azure'; |
| 1848 | $isOpenAI = !$isAzure; |
| 1849 | |
| 1850 | // Prepare the headers |
| 1851 | $headers = "Content-Type: application/json\r\n"; |
| 1852 | if ( $isOpenAI ) { |
| 1853 | $headers .= 'Authorization: Bearer ' . $this->apiKey . "\r\n"; |
| 1854 | if ( $this->organizationId ) { |
| 1855 | $headers .= 'OpenAI-Organization: ' . $this->organizationId . "\r\n"; |
| 1856 | } |
| 1857 | } |
| 1858 | else if ( $isAzure ) { |
| 1859 | $headers .= 'api-key: ' . $this->apiKey . "\r\n"; |
| 1860 | } |
| 1861 | |
| 1862 | // Prepare the body with json_encode, if it's not a string or null, otherwise we keep it as is. |
| 1863 | if ( !empty( $query ) && !is_string( $query ) ) { |
| 1864 | $body = $this->safe_json_encode( $query, 'query body' ); |
| 1865 | } |
| 1866 | else { |
| 1867 | $body = $query; |
| 1868 | } |
| 1869 | |
| 1870 | // If we have form fields, we need to change the headers and the body. |
| 1871 | if ( !empty( $formFields ) ) { |
| 1872 | $boundary = wp_generate_password( 24, false ); |
| 1873 | $headers = [ |
| 1874 | 'Content-Type' => 'multipart/form-data; boundary=' . $boundary |
| 1875 | ]; |
| 1876 | if ( $isOpenAI ) { |
| 1877 | $headers['Authorization'] = 'Bearer ' . $this->apiKey; |
| 1878 | if ( $this->organizationId ) { |
| 1879 | $headers['OpenAI-Organization'] = $this->organizationId; |
| 1880 | } |
| 1881 | } |
| 1882 | else if ( $isAzure ) { |
| 1883 | $headers['api-key'] = $this->apiKey; |
| 1884 | } |
| 1885 | $body = $this->build_form_body( $formFields, $boundary ); |
| 1886 | } |
| 1887 | |
| 1888 | // Maybe we should have headers always as an array... not sure why we have it as a string. |
| 1889 | if ( !empty( $extraHeaders ) ) { |
| 1890 | foreach ( $extraHeaders as $key => $value ) { |
| 1891 | if ( is_array( $headers ) ) { |
| 1892 | $headers[$key] = $value; |
| 1893 | } |
| 1894 | else { |
| 1895 | $headers .= "$key: $value\r\n"; |
| 1896 | } |
| 1897 | } |
| 1898 | } |
| 1899 | |
| 1900 | // Create the URL |
| 1901 | if ( $isOpenAI ) { |
| 1902 | $url = 'https://api.openai.com/v1' . $url; |
| 1903 | } |
| 1904 | else if ( $isAzure ) { |
| 1905 | $url = trailingslashit( $this->env['endpoint'] ) . 'openai' . $url; |
| 1906 | $hasQuery = strpos( $url, '?' ) !== false; |
| 1907 | $url = $url . ( $hasQuery ? '&' : '?' ) . $this->azureApiVersion; |
| 1908 | } |
| 1909 | |
| 1910 | // If it's a GET, body should be null, and we should append the query to the URL. |
| 1911 | if ( $method === 'GET' ) { |
| 1912 | if ( !empty( $query ) ) { |
| 1913 | $hasQuery = strpos( $url, '?' ) !== false; |
| 1914 | $url = $url . ( $hasQuery ? '&' : '?' ) . http_build_query( $query ); |
| 1915 | } |
| 1916 | $body = null; |
| 1917 | } |
| 1918 | |
| 1919 | $options = [ |
| 1920 | 'headers' => $headers, |
| 1921 | 'method' => $method, |
| 1922 | 'timeout' => MWAI_TIMEOUT, |
| 1923 | 'body' => $body, |
| 1924 | 'sslverify' => MWAI_SSL_VERIFY |
| 1925 | ]; |
| 1926 | |
| 1927 | // Check if queries debug is enabled |
| 1928 | $queries_debug = $this->core->get_option( 'queries_debug_mode' ); |
| 1929 | |
| 1930 | // Log the request if queries debug is enabled |
| 1931 | if ( $queries_debug ) { |
| 1932 | error_log( '[AI Engine Queries] HTTP Request to: ' . $url ); |
| 1933 | |
| 1934 | if ( !empty( $body ) ) { |
| 1935 | error_log( '[AI Engine Queries] Request Body:' ); |
| 1936 | error_log( $body ); |
| 1937 | } |
| 1938 | |
| 1939 | if ( !is_null( $streamCallback ) ) { |
| 1940 | error_log( '[AI Engine Queries] (Streaming mode - response will be streamed)' ); |
| 1941 | } |
| 1942 | } |
| 1943 | |
| 1944 | try { |
| 1945 | if ( !is_null( $streamCallback ) ) { |
| 1946 | $options['stream'] = true; |
| 1947 | $options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' ); |
| 1948 | // The stream handler calls the streamCallback every time there is content |
| 1949 | // TODO: For assistants, we should probably have a different stream handler to |
| 1950 | // handle the assistant's specific reply and perform the necessary actions. |
| 1951 | $this->streamCallback = $streamCallback; |
| 1952 | add_action( 'http_api_curl', [ $this, 'stream_handler' ], 10, 3 ); |
| 1953 | } |
| 1954 | $res = wp_remote_request( $url, $options ); |
| 1955 | if ( is_wp_error( $res ) ) { |
| 1956 | throw new Exception( $res->get_error_message() ); |
| 1957 | } |
| 1958 | |
| 1959 | $res = wp_remote_retrieve_body( $res ); |
| 1960 | |
| 1961 | // Handle empty responses for container LIST API only (not for file content downloads) |
| 1962 | if ( strpos( $url, '/containers/' ) !== false && |
| 1963 | strpos( $url, '/files' ) !== false && |
| 1964 | strpos( $url, '/content' ) === false && // Don't apply this to content downloads |
| 1965 | empty( $res ) ) { |
| 1966 | // Return empty array for empty container files LIST response |
| 1967 | $data = $json ? [] : ''; |
| 1968 | error_log( '[AI Engine] Container LIST API returned empty response, treating as empty array' ); |
| 1969 | } |
| 1970 | else { |
| 1971 | $data = $json ? json_decode( $res, true ) : $res; |
| 1972 | } |
| 1973 | |
| 1974 | // Debug logging for decoded data (skip for content downloads) |
| 1975 | if ( strpos( $url, '/containers/' ) !== false && strpos( $url, '/files' ) !== false && strpos( $url, '/content' ) === false ) { |
| 1976 | error_log( '[AI Engine] After json_decode:' ); |
| 1977 | error_log( '[AI Engine] - Data type: ' . gettype( $data ) ); |
| 1978 | error_log( '[AI Engine] - Data is null: ' . ( $data === null ? 'YES' : 'NO' ) ); |
| 1979 | if ( $data !== null && is_array( $data ) ) { |
| 1980 | error_log( '[AI Engine] - Data keys: ' . implode( ', ', array_keys( $data ) ) ); |
| 1981 | error_log( '[AI Engine] - Data count: ' . count( $data ) ); |
| 1982 | } |
| 1983 | if ( $json && $data === null && !empty( $res ) ) { |
| 1984 | error_log( '[AI Engine] - JSON decode error: ' . json_last_error_msg() ); |
| 1985 | } |
| 1986 | } |
| 1987 | |
| 1988 | $this->handle_response_errors( $data ); |
| 1989 | |
| 1990 | // Log the response if queries debug is enabled |
| 1991 | if ( $queries_debug && is_null( $streamCallback ) ) { |
| 1992 | error_log( '[AI Engine Queries] Response Body:' ); |
| 1993 | error_log( $res ); |
| 1994 | } |
| 1995 | return $data; |
| 1996 | } |
| 1997 | catch ( Exception $e ) { |
| 1998 | $service = $this->get_service_name(); |
| 1999 | Meow_MWAI_Logging::error( "$service: " . $e->getMessage() ); |
| 2000 | throw new Exception( "$service: " . $e->getMessage() ); |
| 2001 | } |
| 2002 | finally { |
| 2003 | if ( !is_null( $streamCallback ) ) { |
| 2004 | remove_action( 'http_api_curl', [ $this, 'stream_handler' ] ); |
| 2005 | } |
| 2006 | if ( !empty( $options['stream'] ) && file_exists( $options['filename'] ) ) { |
| 2007 | unlink( $options['filename'] ); |
| 2008 | } |
| 2009 | } |
| 2010 | } |
| 2011 | |
| 2012 | public function get_models() { |
| 2013 | $models = apply_filters( 'mwai_openai_models', MWAI_OPENAI_MODELS ); |
| 2014 | // TODO: Drop the fine-tune injection loop below after 2027-02 (OpenAI ends fine-tune job creation on 2027-01-06). |
| 2015 | $finetunes = !empty( $this->env['finetunes'] ) ? $this->env['finetunes'] : []; |
| 2016 | foreach ( $finetunes as $finetune ) { |
| 2017 | if ( empty( $finetune['status'] ) || $finetune['status'] !== 'succeeded' ) { |
| 2018 | continue; |
| 2019 | } |
| 2020 | if ( empty( $finetune['base_model'] ) || empty( $finetune['model'] ) || empty( $finetune['suffix'] ) ) { |
| 2021 | continue; |
| 2022 | } |
| 2023 | $baseModel = self::get_model_without_release_date( $finetune['base_model'] ); |
| 2024 | if ( !empty( $baseModel ) ) { |
| 2025 | $model = null; |
| 2026 | foreach ( $models as $currentModel ) { |
| 2027 | if ( $currentModel['model'] === $baseModel ) { |
| 2028 | $model = $currentModel; |
| 2029 | break; |
| 2030 | } |
| 2031 | } |
| 2032 | if ( !empty( $model ) ) { |
| 2033 | $model['model'] = $finetune['model']; |
| 2034 | $model['name'] = $finetune['suffix']; |
| 2035 | $models[] = $model; |
| 2036 | } |
| 2037 | } |
| 2038 | } |
| 2039 | return $models; |
| 2040 | } |
| 2041 | |
| 2042 | public static function get_models_static() { |
| 2043 | return MWAI_OPENAI_MODELS; |
| 2044 | } |
| 2045 | |
| 2046 | /** |
| 2047 | * Recursively search for container_id in the response data |
| 2048 | */ |
| 2049 | protected function search_for_container_id_recursive( $data, $path = '' ) { |
| 2050 | if ( is_array( $data ) || is_object( $data ) ) { |
| 2051 | foreach ( $data as $key => $value ) { |
| 2052 | $currentPath = $path ? $path . '.' . $key : $key; |
| 2053 | |
| 2054 | // Check if this key is container_id |
| 2055 | if ( $key === 'container_id' ) { |
| 2056 | error_log( '[AI Engine Queries] *** FOUND container_id at path: ' . $currentPath . ' = ' . $value . ' ***' ); |
| 2057 | } |
| 2058 | |
| 2059 | // Recursively search in nested structures |
| 2060 | if ( is_array( $value ) || is_object( $value ) ) { |
| 2061 | $this->search_for_container_id_recursive( $value, $currentPath ); |
| 2062 | } |
| 2063 | } |
| 2064 | } |
| 2065 | } |
| 2066 | |
| 2067 | // TODO: After 2027-02 (OpenAI ends fine-tune job creation on 2027-01-06), drop the $finetune branch from calculate_price() and the finetune-detection block in get_price(). |
| 2068 | private function calculate_price( $modelFamily, $inUnits, $outUnits, $resolution = null, $finetune = false ) { |
| 2069 | $modelFamily = self::get_model_without_release_date( $modelFamily ); |
| 2070 | $models = $this->get_models(); |
| 2071 | foreach ( $models as $currentModel ) { |
| 2072 | if ( $currentModel['model'] === $modelFamily ) { |
| 2073 | if ( $finetune ) { |
| 2074 | if ( isset( $currentModel['finetune']['price'] ) ) { |
| 2075 | $currentModel['price'] = $currentModel['finetune']['price']; |
| 2076 | } |
| 2077 | else if ( isset( $currentModel['finetune']['in'] ) ) { |
| 2078 | $currentModel['price'] = [ |
| 2079 | 'in' => $currentModel['finetune']['in'], |
| 2080 | 'out' => $currentModel['finetune']['out'] |
| 2081 | ]; |
| 2082 | } |
| 2083 | } |
| 2084 | $inPrice = $currentModel['price']; |
| 2085 | $outPrice = $currentModel['price']; |
| 2086 | if ( is_array( $currentModel['price'] ) ) { |
| 2087 | $inPrice = $currentModel['price']['in']; |
| 2088 | $outPrice = $currentModel['price']['out']; |
| 2089 | } |
| 2090 | $inTotalPrice = $inPrice * $currentModel['unit'] * $inUnits; |
| 2091 | $outTotalPrice = $outPrice * $currentModel['unit'] * $outUnits; |
| 2092 | return $inTotalPrice + $outTotalPrice; |
| 2093 | } |
| 2094 | } |
| 2095 | Meow_MWAI_Logging::warn( "(OpenAI) Invalid model ($modelFamily)." ); |
| 2096 | return null; |
| 2097 | } |
| 2098 | |
| 2099 | public function get_price( Meow_MWAI_Query_Base $query, Meow_MWAI_Reply $reply ) { |
| 2100 | $model = $query->model; |
| 2101 | $units = 0; |
| 2102 | $finetune = false; |
| 2103 | if ( is_a( $query, 'Meow_MWAI_Query_Text' ) || is_a( $query, 'Meow_MWAI_Query_Assistant' ) ) { |
| 2104 | if ( preg_match( '/^([a-zA-Z]{0,32}):/', $model, $matches ) ) { |
| 2105 | $finetune = true; |
| 2106 | } |
| 2107 | $inUnits = $reply->get_in_tokens( $query ); |
| 2108 | $outUnits = $reply->get_out_tokens(); |
| 2109 | return $this->calculate_price( $model, $inUnits, $outUnits, null, $finetune ); |
| 2110 | } |
| 2111 | else if ( is_a( $query, 'Meow_MWAI_Query_Image' ) || is_a( $query, 'Meow_MWAI_Query_EditImage' ) ) { |
| 2112 | // gpt-image models are billed by input/output tokens like text models. |
| 2113 | // IMPORTANT: Images API uses 'input_tokens'/'output_tokens', not 'prompt_tokens'/'completion_tokens' |
| 2114 | $inUnits = $reply->usage['input_tokens'] ?? $reply->usage['prompt_tokens'] ?? 0; |
| 2115 | $outUnits = $reply->usage['output_tokens'] ?? $reply->usage['completion_tokens'] ?? 0; |
| 2116 | return $this->calculate_price( $model, $inUnits, $outUnits, null, $finetune ); |
| 2117 | } |
| 2118 | else if ( is_a( $query, 'Meow_MWAI_Query_Transcribe' ) ) { |
| 2119 | $model = 'whisper'; |
| 2120 | $units = $reply->get_units(); |
| 2121 | return $this->calculate_price( $model, 0, $units, null, $finetune ); |
| 2122 | } |
| 2123 | else if ( is_a( $query, 'Meow_MWAI_Query_Embed' ) ) { |
| 2124 | $units = $reply->get_total_tokens(); |
| 2125 | return $this->calculate_price( $model, 0, $units, null, $finetune ); |
| 2126 | } |
| 2127 | Meow_MWAI_Logging::warn( "(OpenAI) Cannot calculate price for $model." ); |
| 2128 | return null; |
| 2129 | } |
| 2130 | } |
| 2131 |