set_environment(); } public function reset_stream() { parent::reset_stream(); $this->mcpServerCount = 0; $this->mcpTotalToolCount = 0; $this->emittedFunctionResults = []; $this->streamImages = []; $this->seenCallIds = []; } /** * Check if a model should use the new Responses API */ protected function should_use_responses_api( $model ) { // First check if Responses API is enabled in settings $options = $this->core->get_all_options(); $responsesApiEnabled = $options['ai_responses_api'] ?? true; if ( !$responsesApiEnabled ) { return false; } // Azure doesn't support Responses API yet if ( $this->envType === 'azure' ) { return false; } // Check if the model has the 'responses' tag $modelInfo = $this->retrieve_model_info( $model ); if ( $modelInfo && !empty( $modelInfo['tags'] ) ) { return in_array( 'responses', $modelInfo['tags'] ); } return false; } /** * Set conversation state for stateful responses */ public function set_previous_response_id( $responseId ) { $this->previousResponseId = $responseId; } /** * Get conversation state */ public function get_conversation_state() { return $this->conversationState; } /** * Build body for Responses API */ protected function build_responses_body( $query, $streamCallback = null ) { $body = [ 'model' => $query->model, 'stream' => !is_null( $streamCallback ), ]; // Handle different query types for Responses API if ( $query instanceof Meow_MWAI_Query_Text || $query instanceof Meow_MWAI_Query_Feedback ) { // Use simplified instructions + input format for basic queries if ( !empty( $query->instructions ) ) { $body['instructions'] = $query->instructions; } // Determine history strategy $historyStrategy = $query->historyStrategy; // Treat empty string as null for automatic mode if ( empty( $historyStrategy ) ) { $historyStrategy = null; } // If historyStrategy is null (automatic), use response_id when previousResponseId is available if ( $historyStrategy === null && !empty( $query->previousResponseId ) ) { $historyStrategy = 'response_id'; } // Debug logging for all queries when using Responses API $queries_debug = $this->core->get_option( 'queries_debug_mode' ); if ( $queries_debug ) { if ( $query instanceof Meow_MWAI_Query_Feedback ) { error_log( '[AI Engine] Feedback query blocks: ' . count( $query->blocks ?? [] ) ); } } // Handle based on history strategy // For Responses API, feedback queries MUST use previous_response_id to maintain conversation state if ( $historyStrategy === 'response_id' && !empty( $query->previousResponseId ) ) { // Use ResponseIdManager to validate the response ID if ( $this->core->responseIdManager->is_valid_for_responses_api( $query->previousResponseId ) ) { // Use incremental mode with previous_response_id $body['previous_response_id'] = $query->previousResponseId; // Debug logging $queries_debug = $this->core->get_option( 'queries_debug_mode' ); if ( $queries_debug ) { error_log( '[AI Engine Queries] Using previous_response_id: ' . $query->previousResponseId ); } } else { // Log warning if queries debug is enabled $queries_debug = $this->core->get_option( 'queries_debug_mode' ); if ( $queries_debug ) { error_log( '[AI Engine Queries] Warning: ' . Meow_MWAI_FunctionCallException::invalid_response_id( $query->previousResponseId, 'Responses API', 'resp' )->getMessage() ); } // Fall through to full history mode $historyStrategy = 'full_history'; } } // If we're still in response_id mode after validation, use incremental input if ( $historyStrategy === 'response_id' && !empty( $body['previous_response_id'] ) ) { // Check if this is a feedback query (function call response) if ( $query instanceof Meow_MWAI_Query_Feedback && !empty( $query->blocks ) ) { // For feedback queries with previous_response_id, we need to include: // 1. The function_call from the model // 2. The function_call_output with the result $body['input'] = $this->build_feedback_input_for_responses_api( $query ); // Debug: Log the feedback input structure if ( $queries_debug ) { error_log( '[AI Engine Queries] Feedback input structure: ' . json_encode( $body['input'], JSON_PRETTY_PRINT ) ); } } else { // Regular user message $content = [ [ 'type' => 'input_text', 'text' => $query->get_message() ] ]; // Check for attached file/image if ( $query->attachedFile ) { $imageUrl = $query->image_remote_upload === 'url' ? $query->attachedFile->get_url() : $query->attachedFile->get_inline_base64_url(); $content[] = [ 'type' => 'input_image', 'image_url' => $imageUrl ]; } $body['input'] = [ [ 'role' => 'user', 'content' => $content ] ]; // Add context if present if ( !empty( $query->context ) ) { // Prepend context as a separate input_text in the same message array_unshift( $body['input'][0]['content'], [ 'type' => 'input_text', 'text' => $query->context . "\n\n" ] ); } } } else { // Use full history mode (internal) or when no previous_response_id // Build input - always use array format for Responses API if ( !empty( $query->messages ) || $query->attachedFile || $query instanceof Meow_MWAI_Query_Feedback ) { $body['input'] = $this->build_responses_input_array( $query ); } else { // Even for simple text, Responses API expects message format $body['input'] = [ [ 'role' => 'user', 'content' => [ [ 'type' => 'input_text', 'text' => $query->get_message() ] ] ] ]; } // Add context if present if ( !empty( $query->context ) ) { if ( isset( $body['input'] ) && is_string( $body['input'] ) ) { $body['input'] = $query->context . "\n\n" . $body['input']; } else { // Add context as system message array_unshift( $body['input'], [ 'role' => 'system', 'content' => $query->context ] ); } } } // Parameters if ( !empty( $query->maxTokens ) ) { $body['max_output_tokens'] = $query->maxTokens; } if ( !empty( $query->temperature ) && $query->temperature !== 1 ) { $body['temperature'] = $query->temperature; } // Note: The Responses API does not support the 'n' parameter for multiple results // Unlike the Chat Completions API, Responses API generates one response at a time // If multiple results are needed, separate requests must be made // Reference: https://platform.openai.com/docs/api-reference/responses if ( !empty( $query->maxResults ) && $query->maxResults > 1 ) { Meow_MWAI_Logging::warn( 'Responses API does not support multiple results (n parameter). Only one result will be generated.' ); } if ( !empty( $query->stop ) ) { $body['stop'] = $query->stop; } if ( !empty( $query->responseFormat ) && $query->responseFormat === 'json' ) { // Responses API uses 'text.format' instead of 'response_format' $body['text'] = [ 'format' => [ 'type' => 'json_object' ] ]; } // Function calling - convert to tools // Include tools when: // 1. It's the first request (no previous_response_id) // 2. It's a feedback query (needs full context) if ( !empty( $query->functions ) && ( empty( $body['previous_response_id'] ) || $query instanceof Meow_MWAI_Query_Feedback ) ) { $body['tools'] = $this->build_responses_tools( $query->functions ); } // Add MCP servers if available if ( isset( $query->mcpServers ) && is_array( $query->mcpServers ) && !empty( $query->mcpServers ) ) { $mcp_envs = $this->core->get_option( 'mcp_envs' ); $this->mcpServerCount = count( $query->mcpServers ); foreach ( $query->mcpServers as $mcpServer ) { if ( isset( $mcpServer['id'] ) ) { // Find the full MCP server configuration by ID foreach ( $mcp_envs as $env ) { if ( $env['id'] === $mcpServer['id'] ) { // Sanitize server label for OpenAI requirements $server_label = $env['name'] . '_' . $env['id']; // Remove spaces and special characters $server_label = preg_replace( '/[^a-zA-Z0-9_]/', '', $server_label ); // Replace double or tripe underscores with single underscore $server_label = preg_replace( '/_{2,}/', '_', $server_label ); // Ensure it starts with a letter if ( !preg_match( '/^[a-zA-Z]/', $server_label ) ) { $server_label = 'mcp_' . $server_label; } $mcp_tool = [ 'type' => 'mcp', 'server_label' => $server_label, 'server_url' => $env['url'], 'require_approval' => 'never' ]; // Add authorization header if available if ( !empty( $env['token'] ) ) { $mcp_tool['headers'] = [ 'Authorization' => 'Bearer ' . $env['token'] ]; } // Add to tools array if ( !isset( $body['tools'] ) ) { $body['tools'] = []; } $body['tools'][] = $mcp_tool; break; } } } } } // Add tool_choice parameter if tools are present if ( !empty( $body['tools'] ) ) { // Default to 'auto' to let the model choose $body['tool_choice'] = 'auto'; } // Add tools (web_search, image_generation) if specified if ( !empty( $query->tools ) && is_array( $query->tools ) ) { // Ensure tools array exists if ( !isset( $body['tools'] ) ) { $body['tools'] = []; } // Add each enabled tool foreach ( $query->tools as $tool ) { if ( in_array( $tool, ['web_search', 'image_generation'] ) ) { $toolConfig = [ 'type' => $tool ]; // Image generation requires partial_images when streaming if ( $tool === 'image_generation' && !empty( $streamCallback ) ) { $toolConfig['partial_images'] = 1; } $body['tools'][] = $toolConfig; Meow_MWAI_Logging::log( 'Responses API: Added tool ' . $tool . ' to request' ); } } } // Add file_search tool if OpenAI Vector Store is configured if ( !empty( $query->embeddingsEnvId ) ) { Meow_MWAI_Logging::log( 'Responses API: Checking embeddings environment - embeddingsEnvId: ' . $query->embeddingsEnvId ); $embeddingsEnv = $this->core->get_embeddings_env( $query->embeddingsEnvId ); if ( $embeddingsEnv && $embeddingsEnv['type'] === 'openai-vector-store' ) { Meow_MWAI_Logging::log( 'Responses API: Found OpenAI Vector Store environment' ); // Check if the OpenAI environment matches $openai_env_id = $embeddingsEnv['openai_env_id'] ?? null; Meow_MWAI_Logging::log( 'Responses API: Comparing environments - embeddings OpenAI env: ' . ( $openai_env_id ?? 'null' ) . ', current env: ' . $this->envId ); if ( $openai_env_id === $this->envId && !empty( $embeddingsEnv['store_id'] ) ) { // Ensure tools array exists if ( !isset( $body['tools'] ) ) { $body['tools'] = []; } // Add file_search tool with vector store ID $body['tools'][] = [ 'type' => 'file_search', 'vector_store_ids' => [ $embeddingsEnv['store_id'] ] ]; Meow_MWAI_Logging::log( 'Responses API: Added file_search tool with vector store: ' . $embeddingsEnv['store_id'] ); } else { if ( $openai_env_id !== $this->envId ) { Meow_MWAI_Logging::log( 'Responses API: Environment mismatch - file_search tool not added' ); } if ( empty( $embeddingsEnv['store_id'] ) ) { Meow_MWAI_Logging::log( 'Responses API: No store_id configured - file_search tool not added' ); } } } else { Meow_MWAI_Logging::log( 'Responses API: Embeddings environment is not OpenAI Vector Store type (type: ' . ( $embeddingsEnv['type'] ?? 'null' ) . ')' ); } } else { Meow_MWAI_Logging::log( 'Responses API: No embeddingsEnvId in query - file_search tool not added' ); } // Note: Responses API doesn't support stream_options parameter // Usage tracking is handled differently in the streaming response } else if ( $query instanceof Meow_MWAI_Query_Image ) { // For image generation, we can use the integrated approach if ( $query->model === 'gpt-image-1' ) { $body['tools'] = [[ 'type' => 'image_generation' ]]; $body['input'] = $query->get_message(); } else { // Fallback to old API for DALL-E models return $this->build_body( $query, $streamCallback ); } } // Debug logging for feedback queries if ( $query instanceof Meow_MWAI_Query_Feedback ) { Meow_MWAI_Logging::log( 'Responses API: Feedback query body: ' . json_encode( $body ) ); } return $body; } /** * Build tool messages for feedback when using previous_response_id */ protected function build_tool_messages_for_feedback( $query ) { $messages = []; if ( $query instanceof Meow_MWAI_Query_Feedback && !empty( $query->blocks ) ) { foreach ( $query->blocks as $block ) { if ( isset( $block['feedbacks'] ) ) { foreach ( $block['feedbacks'] as $feedback ) { // Get the tool call ID from the original request $toolId = $feedback['request']['toolId'] ?? null; if ( $toolId ) { // According to Responses API spec, tool results should use role:"tool" $toolMessage = [ 'role' => 'tool', 'tool_call_id' => $toolId, 'content' => [ [ 'type' => 'tool_result', 'tool_result' => (string) ( $feedback['reply']['value'] ?? '' ) ] ] ]; $messages[] = $toolMessage; Meow_MWAI_Logging::log( 'Responses API: Added tool result with tool_call_id ' . $toolId . ' - Message: ' . json_encode( $toolMessage ) ); } } } } } return $messages; } /** * Build input array for complex message structures */ protected function build_responses_input_array( $query ) { // Use the MessageBuilder service for streamlined message building $messages = $this->core->messageBuilder->build_responses_api_messages( $query ); // Note: Function result events are now emitted centrally in core.php // when the function is actually executed // Debug logging $queries_debug = $this->core->get_option( 'queries_debug_mode' ); if ( $queries_debug && $query instanceof Meow_MWAI_Query_Feedback ) { error_log( '[AI Engine Queries] Feedback query messages order:' ); foreach ( $messages as $idx => $msg ) { if ( isset( $msg['type'] ) ) { $log_msg = ' [' . $idx . '] ' . $msg['type']; if ( $msg['type'] === 'function_call' ) { $log_msg .= ' - ' . ( $msg['name'] ?? 'unknown' ) . ' (call_id: ' . ( $msg['call_id'] ?? 'none' ) . ')'; } elseif ( $msg['type'] === 'function_call_output' ) { $log_msg .= ' (call_id: ' . ( $msg['call_id'] ?? 'none' ) . ', output: ' . substr( $msg['output'] ?? '', 0, 50 ) . ')'; } error_log( '[AI Engine Queries]' . $log_msg ); } elseif ( isset( $msg['role'] ) ) { $content_preview = ''; if ( isset( $msg['content'] ) ) { if ( is_string( $msg['content'] ) ) { $content_preview = ' - "' . substr( $msg['content'], 0, 50 ) . '"'; } elseif ( is_array( $msg['content'] ) && isset( $msg['content'][0]['text'] ) ) { $content_preview = ' - "' . substr( $msg['content'][0]['text'], 0, 50 ) . '"'; } elseif ( is_array( $msg['content'] ) && isset( $msg['content'][0]['type'] ) && $msg['content'][0]['type'] === 'input_text' ) { $content_preview = ' - "' . substr( $msg['content'][0]['text'] ?? '', 0, 50 ) . '"'; } } error_log( '[AI Engine Queries] [' . $idx . '] ' . $msg['role'] . $content_preview ); } } } return $messages; } /** * Convert functions to Responses API tools format */ protected function build_responses_tools( $functions ) { $tools = []; foreach ( $functions as $function ) { $functionData = $function->serializeForOpenAI(); // Ensure the function data has all required fields if ( !isset( $functionData['name'] ) || empty( $functionData['name'] ) ) { Meow_MWAI_Logging::warn( 'Function missing required name field' ); continue; } // Responses API expects a flatter structure $parameters = $functionData['parameters'] ?? null; // Ensure parameters has the correct structure if ( !$parameters ) { $parameters = [ 'type' => 'object', 'properties' => new stdClass(), 'required' => [] ]; } else { // Ensure properties is an object, not an array when empty if ( isset( $parameters['properties'] ) && is_array( $parameters['properties'] ) && empty( $parameters['properties'] ) ) { $parameters['properties'] = new stdClass(); } } $tool = [ 'type' => 'function', 'name' => $functionData['name'], 'description' => $functionData['description'] ?? '', 'parameters' => $parameters, 'strict' => false // Set to false for now, can be made configurable later ]; $tools[] = $tool; } return $tools; } /** * Build feedback input for Responses API when using previous_response_id. * * The Responses API requires a very specific format for function results: * 1. Echo the exact function_call message from the model * 2. Provide the function_call_output with matching call_id * * This method extracts these from the feedback blocks and formats them correctly. * * @param Meow_MWAI_Query_Feedback $query The feedback query containing function results * @return array Array of messages in Responses API format */ protected function build_feedback_input_for_responses_api( $query ) { // Use the MessageBuilder service for streamlined message building $messages = $this->core->messageBuilder->build_feedback_only_messages( $query ); // For Responses API, the input should be wrapped in a specific structure // According to OpenAI docs, function results should be sent as an array of messages return $messages; } /** * Build URL for Responses API */ protected function build_responses_url() { if ( $this->envType === 'azure' ) { // Azure uses a different URL structure $endpoint = isset( $this->env['endpoint'] ) ? $this->env['endpoint'] : null; $url = trailingslashit( $endpoint ) . 'openai/responses?' . $this->azureApiVersion; } else { $endpoint = apply_filters( 'mwai_openai_endpoint', 'https://api.openai.com/v1', $this->env ); $url = trailingslashit( $endpoint ) . 'responses'; } return $url; } /** * Handle Responses API streaming data */ protected function responses_stream_data_handler( $json ) { $content = null; static $currentItemType = null; // Track the current output item type // Load event helper if ( !class_exists( 'Meow_MWAI_Event' ) ) { require_once MWAI_PATH . '/classes/event.php'; } // Get response metadata if ( isset( $json['id'] ) ) { $this->inId = $json['id']; Meow_MWAI_Logging::log( 'Responses API Streaming: Found response ID in stream: ' . $this->inId ); } if ( isset( $json['model'] ) ) { $this->inModel = $json['model']; } // Handle different event types for Responses API $eventType = $json['type'] ?? null; // Debug streaming events if ( isset( $_GET['debug_mcp'] ) ) { error_log( 'AI_ENGINE_DEBUG: Streaming type: ' . ( $eventType ?? 'no_type' ) . ' - Data: ' . json_encode( $json ) ); } switch ( $eventType ) { // ===== LIFECYCLE EVENTS ===== case 'response.created': // Emitted when a response object is created - contains initial response metadata $response = $json['response'] ?? []; $this->inId = $response['id'] ?? null; $this->inModel = $response['model'] ?? null; if ( $this->inId ) { } break; case 'response.queued': // Response is queued and waiting to start processing // We can log this for debugging purposes Meow_MWAI_Logging::log( 'Responses API: Response queued for processing' ); break; case 'response.in_progress': // Emitted repeatedly while the response is being generated // Contains partial response state but typically not used for streaming text break; case 'response.completed': // Response is fully generated - extract any function calls from completed output if ( $this->core->get_option( 'queries_debug_mode' ) ) { error_log( '[AI Engine Queries] Current streamToolCalls count: ' . count( $this->streamToolCalls ) ); } $response = $json['response'] ?? []; $outputs = $response['output'] ?? []; foreach ( $outputs as $idx => $output ) { if ( $this->core->get_option( 'queries_debug_mode' ) ) { error_log( '[AI Engine Queries] Output ' . $idx . ' type: ' . ( $output['type'] ?? 'unknown' ) . ', status: ' . ( $output['status'] ?? 'no-status' ) ); } if ( isset( $output['type'] ) && $output['type'] === 'function_call' && isset( $output['status'] ) && $output['status'] === 'completed' ) { // Note: Responses API uses 'call_id' not 'id' for function calls $callId = $output['call_id'] ?? $output['id'] ?? null; $functionName = $output['name'] ?? ''; if ( $this->core->get_option( 'queries_debug_mode' ) ) { error_log( '[AI Engine Queries] Processing function_call: ' . $functionName . ' (id: ' . $callId . ')' ); } // IMPORTANT: Deduplicate function calls // OpenAI sends the same function call in both response.output_item.done // and response.completed events. We track call IDs to avoid duplicates. if ( in_array( $callId, $this->seenCallIds, true ) ) { // Skip duplicate - already processed in response.output_item.done if ( $this->core->get_option( 'queries_debug_mode' ) ) { error_log( '[AI Engine Queries] Skipping duplicate call ID: ' . $callId ); } continue; } // First time seeing this call ID - add it if ( $this->core->get_option( 'queries_debug_mode' ) ) { error_log( '[AI Engine Queries] response.completed adding tool call: ' . $functionName . ' (id: ' . $callId . ')' ); } $this->seenCallIds[] = $callId; $this->streamToolCalls[] = [ 'id' => $callId, 'type' => 'function', 'function' => [ 'name' => $functionName, 'arguments' => $output['arguments'] ?? '{}' ] ]; } } break; case 'response.incomplete': // Response stopped before completion (e.g., max_tokens reached) $details = $json['response']['incomplete_details'] ?? []; Meow_MWAI_Logging::warn( 'Responses API: Response incomplete - ' . json_encode( $details ) ); break; case 'response.failed': // Response generation failed $error = $json['response']['error'] ?? []; $message = $error['message'] ?? 'Response generation failed'; throw new Exception( $message ); // ===== OUTPUT ITEM EVENTS ===== case 'response.output_item.added': // New output item added (e.g., message, function_call, etc.) // Track the type of the current output item if ( isset( $json['item'] ) && isset( $json['item']['type'] ) ) { $item = $json['item']; $itemType = $item['type']; $currentItemType = $itemType; // Don't emit events here for web search or image generation - wait for more specific events // This prevents duplicate events // If it's an MCP call, store the tool name if ( $itemType === 'mcp_call' && isset( $item['id'] ) && isset( $item['name'] ) ) { $this->mcpToolNames[$item['id']] = $item['name']; Meow_MWAI_Logging::log( 'Responses API: MCP tool call added - ' . $item['name'] . ' (id: ' . $item['id'] . ')' ); if ( $this->currentDebugMode ) { $event = Meow_MWAI_Event::mcp_calling( $item['name'], $item['id'] ) ->set_metadata( 'name', $item['name'] ) ->set_metadata( 'server_label', $item['server_label'] ?? null ); call_user_func( $this->streamCallback, $event ); } } } break; case 'response.output_item.done': // Output item completed - check for MCP approval requests or tool lists if ( isset( $json['item'] ) && isset( $json['item']['type'] ) ) { $item = $json['item']; $itemType = $item['type']; // Reset current item type when we complete a message item if ( $itemType === 'message' ) { $currentItemType = null; } if ( $itemType === 'function_call' ) { // Regular function call completed - send event if ( $this->currentDebugMode && $this->streamCallback ) { $event = Meow_MWAI_Event::function_calling( $item['name'] ?? 'unknown', json_decode( $item['arguments'] ?? '{}', true ) ) ->set_metadata( 'call_id', $item['call_id'] ?? null ); call_user_func( $this->streamCallback, $event ); } // Add to streamToolCalls for execution // Note: Responses API uses 'call_id' not 'id' for function calls $callId = $item['call_id'] ?? $item['id'] ?? null; $functionName = $item['name'] ?? ''; // Add to our deduplication tracking // We process function calls here as they complete individually during streaming // The response.completed event will also try to add them, so we track IDs if ( !in_array( $callId, $this->seenCallIds, true ) ) { $this->seenCallIds[] = $callId; $this->streamToolCalls[] = [ 'id' => $callId, 'type' => 'function', 'function' => [ 'name' => $functionName, 'arguments' => $item['arguments'] ?? '{}' ] ]; } } elseif ( $itemType === 'mcp_approval_request' ) { // IMPORTANT: MCP (Model Context Protocol) tools are executed remotely by OpenAI // Unlike regular function calls, MCP tools do NOT need local execution // Therefore, we should NOT add them to streamToolCalls array // This prevents creation of unnecessary feedback queries and second response cycles Meow_MWAI_Logging::log( 'Responses API: MCP approval request for ' . $item['name'] . ' from server ' . $item['server_label'] . ' (handled remotely)' ); } elseif ( $item['type'] === 'mcp_call' ) { // IMPORTANT: MCP calls are already executed remotely by OpenAI's infrastructure // The result is included in the same response stream // We must NOT add these to streamToolCalls to avoid duplicate execution attempts Meow_MWAI_Logging::log( 'Responses API: MCP call completed - ' . $item['name'] . ' (already executed remotely)' ); // Send event for completed MCP call when debug is enabled if ( $this->currentDebugMode && isset( $item['name'] ) ) { $args = json_decode( $item['arguments'] ?? '{}', true ); $output = $item['output'] ?? null; // Skip the tool_call event for MCP calls since we already sent mcp_tool_call // This prevents duplicate events in the UI // Then send a separate event for the tool result if ( $output ) { // Format the output preview $outputPreview = is_array( $output ) ? json_encode( $output ) : (string) $output; if ( strlen( $outputPreview ) > 100 ) { $outputPreview = substr( $outputPreview, 0, 100 ) . '...'; } $resultEvent = Meow_MWAI_Event::mcp_result( $item['name'] ) ->set_metadata( 'output', $output ); call_user_func( $this->streamCallback, $resultEvent ); } // Don't return content since we've already sent events $content = null; } } elseif ( $itemType === 'web_search_call' ) { // Web search completed - don't emit event here // The event will be emitted by the response.web_search_call.completed handler // This prevents duplicate events Meow_MWAI_Logging::log( 'Responses API: Web search output item completed (event handled by specific handler)' ); } elseif ( $itemType === 'image_generation_call' ) { // Image generation completed Meow_MWAI_Logging::log( 'Responses API: Image generation output item completed' ); // Extract the base64 image from the result if ( isset( $item['result'] ) ) { $base64Image = $item['result']; // Store the image for later processing if ( !isset( $this->streamImages ) ) { $this->streamImages = []; } $this->streamImages[] = $base64Image; Meow_MWAI_Logging::log( 'Responses API: Stored generated image (base64 length: ' . strlen( $base64Image ) . ')' ); } } elseif ( $item['type'] === 'mcp_list_tools' ) { // MCP tools list discovered $server_label = $item['server_label'] ?? 'unknown'; $tools_count = isset( $item['tools'] ) ? count( $item['tools'] ) : 0; $this->mcpTotalToolCount += $tools_count; Meow_MWAI_Logging::log( 'Responses API: MCP tools list from server ' . $server_label . ' containing ' . $tools_count . ' tools' ); // Send event for tools discovery using the aggregated format if ( $this->currentDebugMode ) { $serverCount = $this->mcpServerCount > 0 ? $this->mcpServerCount : 1; $event = Meow_MWAI_Event::mcp_discovery( $serverCount, $this->mcpTotalToolCount ); call_user_func( $this->streamCallback, $event ); } // Log first few tools for debugging if ( isset( $item['tools'] ) && is_array( $item['tools'] ) ) { $sample_tools = array_slice( $item['tools'], 0, 3 ); foreach ( $sample_tools as $tool ) { Meow_MWAI_Logging::log( 'Responses API: MCP tool "' . ( $tool['name'] ?? 'unnamed' ) . '": ' . ( $tool['description'] ?? 'no description' ) ); } if ( $tools_count > 3 ) { Meow_MWAI_Logging::log( 'Responses API: ... and ' . ( $tools_count - 3 ) . ' more tools' ); } } } } break; // ===== CONTENT PART EVENTS ===== case 'response.content_part.added': // New content part added to an output item // Indicates start of a new content section (text, image, etc.) // Check if this is MCP-related content that shouldn't be shown if ( isset( $json['part']['type'] ) ) { $partType = $json['part']['type']; // Just log the part type for debugging // We can use this info later if needed } break; case 'response.content_part.done': // Content part is finalized // No more deltas will be sent for this content part break; // ===== TEXT STREAMING EVENTS ===== case 'response.output_text.delta': // Streaming text chunk for the current content part if ( isset( $json['delta'] ) ) { // Send a status event for the first content chunk if ( $this->currentDebugMode && !isset( $this->contentStarted ) ) { $this->contentStarted = true; $statusEvent = Meow_MWAI_Event::generating_response(); call_user_func( $this->streamCallback, $statusEvent ); } $content = $json['delta']; } break; case 'response.output_text.done': // Final text for the content part // Contains the complete accumulated text // Don't send response_completed here - ChatbotContext adds "Request completed" unset( $this->contentStarted ); break; case 'response.refusal.delta': // Streaming refusal message chunk // Model is refusing to generate the requested content if ( isset( $json['delta'] ) ) { // We might want to stream refusals as regular content $content = $json['delta']; } break; case 'response.refusal.done': // Final refusal message // Contains the complete refusal reason break; case 'response.function_call_arguments.delta': // Streaming JSON arguments for a function call // We don't stream these to UI as they're not human-readable break; case 'response.function_call_arguments.done': // Complete function call arguments // Already handled in response.output_item.done for function_call type break; // ===== FILE & WEB SEARCH EVENTS ===== case 'response.file_search_call.in_progress': // File search started Meow_MWAI_Logging::log( 'Responses API: File search in progress' ); break; case 'response.file_search_call.searching': // Actively searching files break; case 'response.file_search_call.completed': // File search finished break; case 'response.web_search_call.in_progress': // Web search started - only emit one event at the start Meow_MWAI_Logging::log( 'Responses API: Web search in progress' ); if ( $this->currentDebugMode && $this->streamCallback ) { $event = Meow_MWAI_Event::status( 'Searching the web...' ); call_user_func( $this->streamCallback, $event ); } break; case 'response.web_search_call.searching': // Actively searching - don't emit duplicate events if ( isset( $json['query'] ) ) { Meow_MWAI_Logging::log( 'Responses API: Searching for: ' . $json['query'] ); } break; case 'response.web_search_call.completed': // Web search finished Meow_MWAI_Logging::log( 'Responses API: Web search completed' ); // The completed event doesn't contain results, just metadata // Results are likely embedded in the model's response text if ( $this->currentDebugMode && $this->streamCallback ) { $message = 'Web search completed'; $event = Meow_MWAI_Event::status( $message ); call_user_func( $this->streamCallback, $event ); } break; // ===== IMAGE GENERATION EVENTS ===== case 'response.image_generation_call.in_progress': // Image generation started Meow_MWAI_Logging::log( 'Responses API: Image generation in progress' ); if ( $this->currentDebugMode && $this->streamCallback ) { $event = Meow_MWAI_Event::status( 'Generating image...' ); call_user_func( $this->streamCallback, $event ); } break; case 'response.image_generation_call.generating': // Image is being generated break; case 'response.image_generation_call.partial_image': // Partial image data (base64) // Could be used for progressive image display if ( isset( $json['partial_image_b64'] ) ) { Meow_MWAI_Logging::log( 'Responses API: Received partial image index ' . ( $json['partial_image_index'] ?? 'unknown' ) ); // For now, we don't display partial images, but we could in the future } break; case 'response.image_generation_call.completed': // Image generation finished Meow_MWAI_Logging::log( 'Responses API: Image generation completed' ); // Note: The actual image data comes in response.output_item.done event // This event just signals completion if ( $this->currentDebugMode && $this->streamCallback ) { $event = Meow_MWAI_Event::status( 'Image generated.' ); call_user_func( $this->streamCallback, $event ); } break; // ===== MCP (Model Context Protocol) EVENTS ===== case 'response.mcp_call.in_progress': // MCP tool call is running $itemId = $json['item_id'] ?? null; $toolName = isset( $this->mcpToolNames[$itemId] ) ? $this->mcpToolNames[$itemId] : 'unknown'; Meow_MWAI_Logging::log( 'Responses API: MCP tool call in progress - ' . $toolName ); break; case 'response.mcp_call.arguments.delta': case 'response.mcp_call_arguments.delta': // Streaming arguments for MCP tool call // Don't stream these JSON arguments to the UI // These contain the function parameters like {"post_type":"post",...} break; case 'response.mcp_call.arguments.done': case 'response.mcp_call_arguments.done': // Complete arguments for MCP tool call break; case 'response.mcp_call.completed': // MCP tool call succeeded break; case 'response.mcp_call.failed': // MCP tool call failed $error = $json['error'] ?? []; Meow_MWAI_Logging::error( 'Responses API: MCP tool call failed - ' . ( $error['message'] ?? 'Unknown error' ) ); break; case 'response.mcp_list_tools.in_progress': // Listing MCP tools has started Meow_MWAI_Logging::log( 'Responses API: MCP tools discovery in progress' ); break; case 'response.mcp_list_tools.completed': // MCP tools listing completed successfully break; case 'response.mcp_list_tools.failed': // MCP tools listing failed $error = $json['error'] ?? []; $message = 'MCP tools listing failed: ' . ( $error['message'] ?? 'Unknown error' ); Meow_MWAI_Logging::error( 'Responses API: ' . $message ); throw new Exception( $message ); break; // ===== REASONING EVENTS (for o1/o3 models) ===== case 'response.reasoning.delta': // Streaming reasoning text chunk // Internal reasoning process of the model break; case 'response.reasoning.done': // Complete reasoning text break; case 'response.reasoning_summary_part.added': // New reasoning summary part added break; case 'response.reasoning_summary_part.done': // Reasoning summary part completed break; case 'response.reasoning_summary_text.delta': // Streaming reasoning summary text break; case 'response.reasoning_summary_text.done': // Complete reasoning summary break; // ===== ANNOTATION EVENTS ===== case 'response.output_text_annotation.added': case 'response.output_text.annotation.added': // Text annotation added (e.g., citations, references) // Can be used to add metadata to generated text break; case 'response.completed': // Response fully completed - function calls are already handled in response.output_item.done break; // ===== ERROR EVENTS ===== case 'error': // Generic error event $error = $json['error'] ?? $json; $message = $error['message'] ?? 'Unknown error occurred'; $code = $error['code'] ?? null; if ( $code ) { $message .= " (Code: $code)"; } throw new Exception( $message ); default: // Unknown event type - log for debugging Meow_MWAI_Logging::error( 'Responses API: Unknown event type: ' . $eventType ); // Check if this might be a different streaming format if ( isset( $json['delta'] ) && is_string( $json['delta'] ) ) { $content = $json['delta']; } elseif ( isset( $json['content'] ) && is_string( $json['content'] ) ) { $content = $json['content']; } } // Handle usage data $usage = $json['usage'] ?? []; if ( isset( $usage['input_tokens'], $usage['output_tokens'] ) ) { $this->streamInTokens = (int) $usage['input_tokens']; $this->streamOutTokens = (int) $usage['output_tokens']; if ( isset( $usage['cost'] ) ) { $this->streamCost = (float) $usage['cost']; } } return $content; } /** * Override stream data handler to support both APIs */ protected function stream_data_handler( $json ) { // Check if this is a Responses API event (uses 'type' field) if ( isset( $json['type'] ) && strpos( $json['type'], 'response.' ) === 0 ) { return $this->responses_stream_data_handler( $json ); } // Fallback to ChatML handler return parent::stream_data_handler( $json ); } /** * Override reset to include OpenAI-specific state */ protected function reset_request_state() { parent::reset_request_state(); // Reset OpenAI-specific state $this->streamImages = []; } /** * Override run_completion_query to route to appropriate API */ public function run_completion_query( $query, $streamCallback = null ): Meow_MWAI_Reply { // Reset request-specific state to prevent leakage between requests $this->reset_request_state(); // Store current query for should_use_responses_api check $this->currentQuery = $query; // Debug: Always log which API we're using $useResponsesApi = $this->should_use_responses_api( $query->model ); // Check if we should use Responses API if ( $useResponsesApi ) { return $this->run_responses_completion_query( $query, $streamCallback ); } // Fallback to ChatML implementation return parent::run_completion_query( $query, $streamCallback ); } /** * Run completion query using Responses API */ protected function run_responses_completion_query( $query, $streamCallback = null ): Meow_MWAI_Reply { // Check if we have functions that might require feedback $hasFunctions = !empty( $query->functions ); $isStreaming = !is_null( $streamCallback ); // Initialize debug mode $this->init_debug_mode( $query ); if ( $isStreaming ) { $this->streamCallback = $streamCallback; add_action( 'http_api_curl', [ $this, 'stream_handler' ], 10, 3 ); } $this->reset_stream(); $body = $this->build_responses_body( $query, $streamCallback ); $url = $this->build_responses_url(); $headers = $this->build_headers( $query ); $options = $this->build_options( $headers, $body ); // Store the request body for debugging $this->lastRequestBody = $body; // Debug log for Responses API $queries_debug = $this->core->get_option( 'queries_debug_mode' ); if ( $queries_debug ) { error_log( '[AI Engine Queries] Using Responses API' ); error_log( '[AI Engine Queries] Request URL: ' . $url ); error_log( '[AI Engine Queries] Request Body: ' . json_encode( $body, JSON_PRETTY_PRINT ) ); // Log specific tool information if ( isset( $body['tools'] ) && is_array( $body['tools'] ) ) { error_log( '[AI Engine Queries] Tools included in request:' ); foreach ( $body['tools'] as $index => $tool ) { $toolInfo = 'Tool ' . $index . ': type=' . ( $tool['type'] ?? 'unknown' ); if ( $tool['type'] === 'file_search' && isset( $tool['vector_store_ids'] ) ) { $toolInfo .= ', vector_store_ids=' . json_encode( $tool['vector_store_ids'] ); } error_log( '[AI Engine Queries] - ' . $toolInfo ); } } else { error_log( '[AI Engine Queries] No tools included in request' ); } } // Emit "Request sent" event for feedback queries if ( $this->currentDebugMode && !empty( $streamCallback ) && ( $query instanceof Meow_MWAI_Query_Feedback || $query instanceof Meow_MWAI_Query_AssistFeedback ) ) { $event = Meow_MWAI_Event::request_sent() ->set_metadata( 'is_feedback', true ) ->set_metadata( 'feedback_count', count( $query->blocks ) ); call_user_func( $streamCallback, $event ); } try { // Log the input being sent for feedback queries if ( $queries_debug && $query instanceof Meow_MWAI_Query_Feedback && isset( $body['input'] ) ) { error_log( '[AI Engine Queries] Sending feedback with ' . count( $body['input'] ) . ' messages to Responses API' ); error_log( '[AI Engine Queries] Previous Response ID: ' . ( $body['previous_response_id'] ?? 'none' ) ); foreach ( $body['input'] as $idx => $msg ) { $msgType = is_array( $msg ) && isset( $msg['type'] ) ? $msg['type'] : 'unknown'; $callId = is_array( $msg ) && isset( $msg['call_id'] ) ? $msg['call_id'] : 'no-id'; error_log( '[AI Engine Queries] Message ' . $idx . ': type=' . $msgType . ', call_id=' . $callId ); if ( $msgType === 'function_call' && isset( $msg['name'] ) ) { error_log( '[AI Engine Queries] Function name: ' . $msg['name'] ); } if ( $msgType === 'function_call_output' && isset( $msg['output'] ) ) { error_log( '[AI Engine Queries] Output: ' . substr( $msg['output'], 0, 50 ) . '...' ); } } } $res = $this->run_query( $url, $options, $streamCallback ); $reply = new Meow_MWAI_Reply( $query ); $returned_id = null; $returned_model = $this->inModel; $returned_in_tokens = null; $returned_out_tokens = null; $returned_price = null; $returned_choices = []; // Streaming Mode if ( $isStreaming ) { if ( empty( $this->streamContent ) ) { $error = $this->try_decode_error( $this->streamBuffer ); if ( !is_null( $error ) ) { throw new Exception( $error ); } } $returned_id = $this->inId; $returned_model = $this->inModel ? $this->inModel : $query->model; $message = [ 'role' => 'assistant', 'content' => $this->streamContent ]; if ( !empty( $this->streamToolCalls ) ) { error_log( '[AI Engine Queries] Responses API: Found ' . count( $this->streamToolCalls ) . ' tool calls in streaming response' ); foreach ( $this->streamToolCalls as $idx => $toolCall ) { error_log( '[AI Engine Queries] Tool call ' . $idx . ': ' . $toolCall['function']['name'] . ' (id: ' . $toolCall['id'] . ')' ); } $message['tool_calls'] = $this->streamToolCalls; } if ( !is_null( $this->streamInTokens ) ) { $returned_in_tokens = $this->streamInTokens; } if ( !is_null( $this->streamOutTokens ) ) { $returned_out_tokens = $this->streamOutTokens; } if ( !is_null( $this->streamCost ) ) { $returned_price = $this->streamCost; } $returned_choices = [ [ 'message' => $message ] ]; // Add generated images to the content if any if ( !empty( $this->streamImages ) ) { // Add images as additional choices with b64_json format foreach ( $this->streamImages as $base64Image ) { $returned_choices[] = [ 'b64_json' => $base64Image ]; } Meow_MWAI_Logging::log( 'Responses API: Added ' . count( $this->streamImages ) . ' images to choices (streaming)' ); } // Log streaming response data if queries debug is enabled if ( $queries_debug ) { error_log( '[AI Engine Queries] Streaming Response Collected:' ); $streaming_data = [ 'id' => $returned_id, 'model' => $returned_model, 'content_length' => strlen( $this->streamContent ), 'content_preview' => substr( $this->streamContent, 0, 200 ) . ( strlen( $this->streamContent ) > 200 ? '...' : '' ), 'tool_calls' => !empty( $this->streamToolCalls ) ? count( $this->streamToolCalls ) . ' tool calls' : 'none', 'usage' => [ 'input_tokens' => $returned_in_tokens, 'output_tokens' => $returned_out_tokens, 'cost' => $returned_price ] ]; // Log tool calls details if present if ( !empty( $this->streamToolCalls ) ) { $streaming_data['tool_calls_details'] = []; foreach ( $this->streamToolCalls as $tool_call ) { $streaming_data['tool_calls_details'][] = [ 'id' => $tool_call['id'] ?? 'unknown', 'name' => $tool_call['function']['name'] ?? 'unknown', 'arguments' => substr( $tool_call['function']['arguments'] ?? '{}', 0, 100 ) . '...' ]; } } error_log( json_encode( $streaming_data, JSON_PRETTY_PRINT ) ); } } // Standard Mode else { $data = $res['data']; if ( empty( $data ) ) { throw new Exception( 'No content received (res is null).' ); } // Handle Responses API response format $returned_id = $data['id'] ?? null; $returned_model = $data['model'] ?? $query->model; // Extract content from Responses API format $content = ''; $tool_calls = []; $images = []; if ( isset( $data['output'] ) && is_array( $data['output'] ) ) { foreach ( $data['output'] as $idx => $output_item ) { if ( isset( $output_item['type'] ) && $output_item['type'] === 'message' && isset( $output_item['content'] ) ) { // Handle message content array - this is the actual text content if ( is_array( $output_item['content'] ) ) { foreach ( $output_item['content'] as $content_item ) { // The actual text is in content_item['text'] for type 'output_text' if ( isset( $content_item['type'] ) && $content_item['type'] === 'output_text' && isset( $content_item['text'] ) ) { $content .= $content_item['text']; } // Fallback checks for other possible structures elseif ( isset( $content_item['content'] ) && is_string( $content_item['content'] ) ) { $content .= $content_item['content']; } elseif ( is_string( $content_item ) ) { $content .= $content_item; } } } } elseif ( isset( $output_item['type'] ) && $output_item['type'] === 'function_call' ) { // Responses API returns function_call type with call_id $callId = $output_item['call_id'] ?? $output_item['id'] ?? null; $functionName = $output_item['name'] ?? ''; error_log( '[AI Engine Queries] Found function_call: ' . $functionName . ' (call_id: ' . $callId . ')' ); $tool_calls[] = [ 'id' => $callId, 'type' => 'function', 'function' => [ 'name' => $functionName, 'arguments' => $output_item['arguments'] ?? '{}' ] ]; } elseif ( isset( $output_item['type'] ) && $output_item['type'] === 'image_generation_call' && isset( $output_item['result'] ) ) { // Handle image generation results $base64Image = $output_item['result']; $images[] = $base64Image; Meow_MWAI_Logging::log( 'Responses API: Found generated image in non-streaming mode' ); } elseif ( isset( $output_item['type'] ) && $output_item['type'] === 'mcp_approval_request' ) { // IMPORTANT: MCP approval requests are already handled via streaming events // We must skip them here to prevent duplicate function calls // MCP tools are executed remotely by OpenAI and don't need local execution Meow_MWAI_Logging::log( 'Responses API: Skipping MCP approval request for ' . $output_item['name'] . ' (already handled via events)' ); } } } // If we couldn't find content in output, try other locations if ( empty( $content ) ) { if ( isset( $data['text'] ) ) { if ( is_string( $data['text'] ) ) { $content = $data['text']; } elseif ( is_array( $data['text'] ) ) { // Only implode if it's an array of strings, not complex structures $textParts = array_filter( $data['text'], 'is_string' ); if ( !empty( $textParts ) ) { $content = implode( '', $textParts ); } } } elseif ( isset( $data['content'] ) ) { if ( is_array( $data['content'] ) && isset( $data['content'][0]['text'] ) ) { $content = $data['content'][0]['text']; } elseif ( is_string( $data['content'] ) ) { $content = $data['content']; } } } // If still no content found, log for debugging if ( empty( $content ) ) { Meow_MWAI_Logging::log( 'Responses API: No content found in response. Structure: ' . json_encode( array_keys( $data ) ) ); if ( isset( $data['output'][0] ) ) { Meow_MWAI_Logging::log( 'Responses API: First output item: ' . json_encode( $data['output'][0] ) ); } if ( isset( $data['text'] ) ) { Meow_MWAI_Logging::log( 'Responses API: Text field structure: ' . json_encode( $data['text'] ) ); } // Log the entire response for debugging Meow_MWAI_Logging::log( 'Responses API: Full response data: ' . json_encode( $data ) ); } $message = [ 'role' => 'assistant', 'content' => $content ]; if ( !empty( $tool_calls ) ) { $message['tool_calls'] = $tool_calls; Meow_MWAI_Logging::log( 'Responses API: Found ' . count( $tool_calls ) . ' tool calls' ); } $returned_choices = [[ 'message' => $message ]]; // Add images as additional choices if ( !empty( $images ) ) { foreach ( $images as $base64Image ) { $returned_choices[] = [ 'b64_json' => $base64Image ]; } Meow_MWAI_Logging::log( 'Responses API: Added ' . count( $images ) . ' images to choices' ); } // Extract usage information $usage = $data['usage'] ?? []; $returned_in_tokens = $usage['input_tokens'] ?? null; $returned_out_tokens = $usage['output_tokens'] ?? null; $returned_price = $usage['cost'] ?? null; } // Store response ID for future stateful requests if ( !empty( $returned_id ) ) { $this->previousResponseId = $returned_id; $reply->set_id( $returned_id ); } // Set the results $reply->set_choices( $returned_choices ); // Handle tokens usage $this->handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens, $returned_price ); return $reply; } catch ( Exception $e ) { $service = $this->get_service_name(); Meow_MWAI_Logging::error( "$service (Responses API): " . $e->getMessage() ); $message = "$service (Responses API): " . $e->getMessage(); throw new Exception( $message ); } finally { if ( !is_null( $streamCallback ) ) { remove_action( 'http_api_curl', [ $this, 'stream_handler' ] ); } } } /** * Override handle_tokens_usage to set accuracy properly */ public function handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens, $returned_price = null ) { // Call parent to handle the actual usage recording parent::handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens, $returned_price ); // Set accuracy based on data availability if ( !is_null( $returned_price ) && !is_null( $returned_in_tokens ) && !is_null( $returned_out_tokens ) ) { // Responses API with cost field or OpenRouter style = full accuracy $reply->set_usage_accuracy( 'full' ); } elseif ( !is_null( $returned_in_tokens ) && !is_null( $returned_out_tokens ) ) { // Tokens from API but price calculated = tokens accuracy $reply->set_usage_accuracy( 'tokens' ); } else { // Everything estimated $reply->set_usage_accuracy( 'estimated' ); } } /** * Override image query handling for gpt-image-1 model */ public function run_image_query( $query ) { // IMPORTANT: We use the standard Images API for gpt-image-1 (not Responses API) // Even though Responses API supports image_generation tool, it would let the // orchestrator model choose which image model to use. By using the Images API // directly, we ensure gpt-image-1 is actually used as requested by the user. // Use standard implementation for all image models including gpt-image-1 return parent::run_image_query( $query ); } /** * Override transcription to support new models */ public function run_transcribe_query( $query ) { // Check if using new transcription models $newTranscribeModels = ['gpt-4o-transcribe', 'gpt-4o-mini-transcribe']; if ( in_array( $query->model, $newTranscribeModels ) ) { // These still use the /audio/transcriptions endpoint but with new models // Just need to make sure the model name is passed correctly } // Use parent implementation (still uses audio endpoint) return parent::run_transcribe_query( $query ); } /** * Override embedding query to support new models */ public function run_embedding_query( $query ) { // Check if using new embedding models $newEmbeddingModels = ['text-embedding-3-small', 'text-embedding-3-large']; if ( in_array( $query->model, $newEmbeddingModels ) ) { // These still use the /embeddings endpoint but with improved models // The parent implementation should handle this correctly } // Use parent implementation return parent::run_embedding_query( $query ); } /** * Enhanced error handling for Responses API */ protected function handle_responses_errors( $data ) { // Handle Responses API specific errors if ( isset( $data['error'] ) ) { $error = $data['error']; $message = $error['message'] ?? 'Unknown error'; $type = $error['type'] ?? null; $code = $error['code'] ?? null; // Special handling for "No tool output found" errors if ( strpos( $message, 'No tool output found' ) !== false ) { // Always log this error with details error_log( '[AI Engine Queries] Responses API Tool Output Error:' ); error_log( '[AI Engine Queries] Error: ' . $message ); error_log( '[AI Engine Queries] This typically means the function call outputs were not properly formatted or are missing.' ); // Log the last request body if available if ( property_exists( $this, 'lastRequestBody' ) && $this->lastRequestBody ) { error_log( '[AI Engine Queries] Last request body: ' . json_encode( $this->lastRequestBody, JSON_PRETTY_PRINT ) ); } } $errorMessage = $message; if ( $type ) { $errorMessage .= " (Type: $type)"; } if ( $code ) { $errorMessage .= " (Code: $code)"; } throw new Exception( $errorMessage ); } // Check for event-based errors if ( isset( $data['event'] ) && $data['event'] === 'response.error' ) { $error = $data['error'] ?? []; $message = $error['message'] ?? 'Response API error'; throw new Exception( $message ); } // Fallback to parent error handling parent::handle_response_errors( $data ); } /** * Add method to reset conversation state */ public function reset_conversation_state() { $this->previousResponseId = null; $this->conversationState = []; } /** * Check the connection to OpenAI by listing models. * This is a free metadata call that verifies API key validity. */ public function connection_check() { try { $url = $this->get_models_endpoint(); $response = $this->execute( 'GET', $url ); if ( !isset( $response['data'] ) || !is_array( $response['data'] ) ) { throw new Exception( 'Invalid response format from OpenAI' ); } $modelCount = count( $response['data'] ); $availableModels = []; // Get first 5 models for display $displayModels = array_slice( $response['data'], 0, 5 ); foreach ( $displayModels as $model ) { if ( isset( $model['id'] ) ) { $availableModels[] = $model['id']; } } return [ 'success' => true, 'service' => 'OpenAI', 'message' => "Connection successful. Found {$modelCount} models.", 'details' => [ 'endpoint' => $url, 'model_count' => $modelCount, 'sample_models' => $availableModels, 'organization' => $response['organization'] ?? null ] ]; } catch ( Exception $e ) { return [ 'success' => false, 'service' => 'OpenAI', 'error' => $e->getMessage(), 'details' => [ 'endpoint' => $this->get_models_endpoint() ] ]; } } /** * Get the models endpoint URL */ protected function get_models_endpoint() { $endpoint = null; // Same logic as build_url to determine the endpoint if ( $this->envType === 'openai' ) { $endpoint = apply_filters( 'mwai_openai_endpoint', 'https://api.openai.com/v1', $this->env ); } else if ( $this->envType === 'azure' ) { $endpoint = isset( $this->env['endpoint'] ) ? $this->env['endpoint'] : null; } if ( empty( $endpoint ) ) { throw new Exception( 'Endpoint is not defined for envType: ' . $this->envType ); } // Remove any existing API paths to get base URL $endpoint = str_replace( '/chat/completions', '', $endpoint ); $endpoint = str_replace( '/v1/responses', '', $endpoint ); $endpoint = rtrim( $endpoint, '/' ); // For Azure, we don't need the /v1 prefix if ( $this->envType === 'azure' ) { // Use the same API version as defined in the parent class return $endpoint . '/openai/models?api-version=2024-12-01-preview'; } // For OpenAI, ensure we have the /v1 prefix if ( strpos( $endpoint, '/v1' ) === false ) { $endpoint .= '/v1'; } return $endpoint . '/models'; } }