| Current File : /home/kelaby89/cartel.express/wp-content/plugins/ai-engine/classes/reply.php |
<?php
class Meow_MWAI_Reply implements JsonSerializable {
public $id = null;
public $result = '';
public $results = [];
public $usage = [
'prompt_tokens' => 0,
'completion_tokens' => 0,
'total_tokens' => 0,
'price' => null,
];
public $usageAccuracy = 'none'; // 'none', 'estimated', 'tokens', 'price', 'full'
public $query = null;
public $type = 'text';
// This is when models return a message that needs to be executed (functions, tools, etc)
public $needFeedbacks = [];
public $needClientActions = [];
public function __construct( $query = null ) {
$this->query = $query;
}
#[\ReturnTypeWillChange]
public function jsonSerialize() {
$isEmbedding = false;
$embeddingsDimensions = null;
$embedddingsMessage = null;
if ( is_array( $this->results ) && count( $this->results ) > 0 ) {
$isEmbedding = is_array( $this->results[0] );
if ( $isEmbedding ) {
$embeddingsDimensions = count( $this->results[0] );
$embedddingsMessage = "A $embeddingsDimensions-dimensional embedding was returned.";
}
}
$data = [
'result' => $isEmbedding ? $embedddingsMessage : $this->result,
'results' => $isEmbedding ? [] : $this->results,
'usage' => $this->usage,
'system' => [
'class' => get_class( $this ),
]
];
if ( !empty( $this->needFeedbacks ) ) {
$data['needFeedbacks'] = $this->needFeedbacks;
}
if ( !empty( $this->needClientActions ) ) {
$data['needClientActions'] = $this->needClientActions;
}
return $data;
}
public function set_usage( $usage ) {
$this->usage = $usage;
}
public function set_usage_accuracy( $accuracy ) {
$this->usageAccuracy = $accuracy;
}
public function set_id( $id ) {
$this->id = $id;
}
public function set_type( $type ) {
$this->type = $type;
}
public function get_total_tokens() {
return isset( $this->usage['total_tokens'] ) ? $this->usage['total_tokens'] : 0;
}
public function get_in_tokens( $query = null ) {
$in_tokens = isset( $this->usage['prompt_tokens'] ) ? $this->usage['prompt_tokens'] : 0;
if ( empty( $in_tokens ) && $query ) {
$in_tokens = $query->get_in_tokens();
}
return $in_tokens;
}
public function get_out_tokens() {
$out_tokens = isset( $this->usage['completion_tokens'] ) ? $this->usage['completion_tokens'] : 0;
if ( empty( $out_tokens ) ) {
$out_tokens = Meow_MWAI_Core::estimate_tokens( $this->result );
}
return $out_tokens;
}
public function get_price() {
// If it's not set return null, but it can be 0
if ( !isset( $this->usage['price'] ) ) {
return null;
}
return $this->usage['price'];
}
public function get_usage_accuracy() {
return $this->usageAccuracy;
}
public function get_units() {
if ( isset( $this->usage['total_tokens'] ) ) {
return $this->usage['total_tokens'];
}
else if ( isset( $this->usage['images'] ) ) {
return $this->usage['images'];
}
else if ( isset( $this->usage['seconds'] ) ) {
return $this->usage['seconds'];
}
return null;
}
public function get_type() {
return $this->type;
}
public function set_reply( $reply ) {
$this->result = $reply;
$this->results[] = [ $reply ];
}
public function replace( $search, $replace ) {
$this->result = str_replace( $search, $replace, $this->result );
$this->results = array_map( function ( $result ) use ( $search, $replace ) {
return str_replace( $search, $replace, $result );
}, $this->results );
}
private function extract_arguments( $funcArgs ) {
$finalArgs = [];
if ( is_string( $funcArgs ) ) {
$arguments = trim( str_replace( "\n", '', $funcArgs ) );
if ( substr( $arguments, 0, 1 ) == '{' ) {
$arguments = json_decode( $arguments, true );
$finalArgs = $arguments;
}
}
else if ( is_array( $funcArgs ) ) {
$finalArgs = $funcArgs;
}
return $finalArgs;
}
/**
* Set the choices from OpenAI as the results.
* The last (or only) result is set as the result.
* @param array $choices ID of the model to use.
*/
public function set_choices( $choices, $rawMessage = null ) {
$this->results = [];
// Initialize feedback arrays at the start to accumulate across all choices
// This is important for engines like Google that split multiple function calls
// into separate choices
$this->needFeedbacks = [];
$this->needClientActions = [];
if ( is_array( $choices ) ) {
foreach ( $choices as $choice ) {
// It's chat completion
if ( isset( $choice['message'] ) ) {
// It's text content
if ( isset( $choice['message']['content'] ) ) {
$content = trim( $choice['message']['content'] );
$this->results[] = $content;
$this->result = $content;
}
// It's a tool call (OpenAI-style and Anthropic-style)
$toolCalls = [];
if ( isset( $choice['message']['tool_calls'] ) ) {
$tools = $choice['message']['tool_calls'];
foreach ( $tools as $tool ) {
if ( $tool['type'] === 'function' ) {
$toolCall = [
'toolId' => $tool['id'],
//'mode' => 'interactive',
'type' => 'tool_call',
'name' => trim( $tool['function']['name'] ),
'arguments' => $this->extract_arguments( $tool['function']['arguments'] ),
// Represent the original message that triggered the function call
'rawMessage' => $rawMessage ? $rawMessage : ( isset( $choice['_rawMessage'] ) ? $choice['_rawMessage'] : $choice['message'] ),
];
$toolCalls[] = $toolCall;
}
}
}
// If it's a function call (Open-AI style; usually for a final execution)
if ( isset( $choice['message']['function_call'] ) ) {
$content = $choice['message']['function_call'];
$name = trim( $content['name'] );
$args = $content['arguments'] ?? $content['args'] ?? null;
$toolCalls[] = [
'toolId' => null,
'mode' => 'static',
'type' => 'function_call',
'name' => $name,
'arguments' => $this->extract_arguments( $args ),
'rawMessage' => $rawMessage ? $rawMessage : ( isset( $choice['_rawMessage'] ) ? $choice['_rawMessage'] : $choice['message'] ),
];
}
// Deep copy tool calls BEFORE adding function references
// This prevents the "Duplicate value for 'tool_call_id'" error
// when the same function is called multiple times
// Note: We need to preserve the toolId for each tool call
if ( !empty( $toolCalls ) ) {
$toolCalls = json_decode( json_encode( $toolCalls ), true );
}
// Resolve the original function from the query
if ( !empty( $toolCalls ) ) {
foreach ( $toolCalls as &$toolCall ) {
if ( $toolCall['type'] !== 'function_call' && $toolCall['type'] !== 'tool_call' ) {
continue;
}
foreach ( $this->query->functions as $function ) {
if ( $function->name == $toolCall['name'] ) {
$toolCall['function'] = $function;
break;
}
}
}
// IMPORTANT: Unset the reference to avoid PHP's foreach reference bug
unset( $toolCall );
}
// Add tool calls to existing arrays instead of resetting them
// This is crucial for engines like Google that create multiple choices
// for multiple function calls in a single response
foreach ( $toolCalls as $tcIdx => $toolCall ) {
if ( $toolCall['function']->target !== 'js' ) {
$this->needFeedbacks[] = $toolCall;
}
else if ( $toolCall['function']->target === 'js' ) {
$this->needClientActions[] = $toolCall;
}
}
}
// It's text completion
else if ( isset( $choice['text'] ) ) {
// TODO: Assistants return an array (so actually not really a text completion)
// We should probably make this clearer and analyze all the outputs from different endpoints.
if ( is_array( $choice['text'] ) ) {
$text = trim( $choice['text']['value'] );
$this->results[] = $text;
$this->result = $text;
}
else {
$text = trim( $choice['text'] );
$this->results[] = $text;
$this->result = $text;
}
}
// It's url/image
else if ( isset( $choice['url'] ) ) {
// TODO: DALL-E 2 and 3 were using URLs, but now they are using b64_json (gpt-image-1 kind of enforced it)
$url = trim( $choice['url'] );
$this->results[] = $url;
$this->result = $url;
}
else if ( isset( $choice['b64_json'] ) ) {
// In that case we need to create a temporary file in WordPress to store the image, and return the URL for it.
global $mwai_core;
// Check if the query has explicitly disabled local download
if ( !empty( $this->query ) && $this->query instanceof Meow_MWAI_Query_Image && $this->query->localDownload === null ) {
// Query explicitly doesn't want local download, save as temporary upload
$localDownload = 'uploads';
$expiry = 1 * HOUR_IN_SECONDS; // 1 hour for temporary images
}
else {
// Use the user's AI-generated image settings (same as DALL-E uses)
$localDownload = $mwai_core->get_option( 'image_local_download' );
$expiry = (int) $mwai_core->get_option( 'image_expires_download' );
}
// The expiry is already in seconds
$ttl = $expiry;
// Use 'library' or 'uploads' based on user settings
$target = ( $localDownload === 'library' ) ? 'library' : 'uploads';
// Prepare metadata similar to regular image queries
$metadata = [];
if ( !empty( $this->query ) ) {
$metadata['query_envId'] = $this->query->envId ?? null;
$metadata['query_session'] = $this->query->session ?? null;
$metadata['query_model'] = $this->query->model ?? 'gpt-image-1';
}
$url = $mwai_core->files->save_temp_image_from_b64( $choice['b64_json'], 'generated', $ttl, $target, $metadata );
if ( is_wp_error( $url ) ) {
return $url;
}
$this->results[] = $url;
// For chatbot display, append image markdown to the result
if ( !empty( $this->result ) ) {
$this->result .= "\n\n";
}
$this->result .= "";
}
// It's embedding
else if ( isset( $choice['embedding'] ) ) {
$content = $choice['embedding'];
$this->results[] = $content;
$this->result = $content;
}
}
}
else {
$this->result = $choices;
$this->results[] = $choices;
}
}
public function toJson() {
return json_encode( $this );
}
}