| Current Path : /storage/v11800/affypharma/public_html/wp-content/plugins/ai-engine/classes/ |
Linux v11800 5.3.0-1023-aws #25~18.04.1-Ubuntu SMP Fri Jun 5 15:19:18 UTC 2020 aarch64
|
| Current File : /storage/v11800/affypharma/public_html/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 $query = null;
public $type = 'text';
// This is when models return a message that needs to be executed (functions, tools, etc)
public $needFeedbacks = [];
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;
}
return $data;
}
public function set_usage( $usage ) {
$this->usage = $usage;
}
public function set_id( $id ) {
$this->id = $id;
}
public function set_type( $type ) {
$this->type = $type;
}
public function get_total_tokens() {
return $this->usage['total_tokens'];
}
public function get_in_tokens( $query = null ) {
$in_tokens = $this->usage['prompt_tokens'];
if ( empty( $in_tokens ) && $query ) {
$in_tokens = $query->get_in_tokens();
}
return $in_tokens;
}
public function get_out_tokens() {
$out_tokens = $this->usage['completion_tokens'];
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_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 = [];
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)
$needFeedbacks = [];
if ( isset( $choice['message']['tool_calls'] ) ) {
$tools = $choice['message']['tool_calls'];
foreach ( $tools as $tool ) {
if ( $tool['type'] === 'function' ) {
$needFeedbacks[] = [
'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 : $choice['message'],
];
}
}
}
// 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'];
$needFeedbacks[] = [
'toolId' => null,
'mode' => 'static',
'type' => 'function_call',
'name' => trim( $choice['message']['function_call']['name'] ),
'arguments' => $this->extract_arguments( $tool['message']['function_call']['arguments'] ),
'rawMessage' => $rawMessage ? $rawMessage : $choice['message'],
];
}
// Resolve the original function from the query
if ( !empty( $needFeedbacks ) ) {
foreach ( $needFeedbacks as &$needFeedback ) {
if ( $needFeedback['type'] !== 'function_call' && $needFeedback['type'] !== 'tool_call' ) {
continue;
}
foreach ( $this->query->functions as $function ) {
if ( $function->name == $needFeedback['name'] ) {
$needFeedback['function'] = $function;
break;
}
}
}
}
$this->needFeedbacks = $needFeedbacks;
}
// 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'] ) ) {
$url = trim( $choice['url'] );
$this->results[] = $url;
$this->result = $url;
}
// 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 );
}
}