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| Current File : /storage/v11800/affypharma/public_html/wp-content/plugins/ai-engine/classes/engines/google.php |
<?php
class Meow_MWAI_Engines_Google extends Meow_MWAI_Engines_Core
{
// Base (Google)
protected $apiKey = null;
protected $region = null;
protected $projectId = null;
protected $endpoint = null;
// Response
protected $inModel = null;
protected $inId = null;
// Streaming
private $streamFunctionCall = null;
public function __construct( $core, $env )
{
parent::__construct( $core, $env );
$this->set_environment();
}
protected function set_environment() {
$env = $this->env;
$this->apiKey = $env['apikey'];
if ( $this->envType === 'google' ) {
// https://{REGION}-aiplatform.googleapis.com/v1/projects/{PROJECT_ID}/locations/{REGION}/publishers/google
$this->region = $env['region'];
$this->projectId = $env['projectId'];
// Google Cloud API
// $this->endpoint = apply_filters( 'mwai_google_endpoint', "https://{$this->region}-aiplatform.googleapis.com/v1/projects/{$this->projectId}/locations/{$this->region}/publishers/google", $this->env );
// Generative Language API (less issues with auth)
$this->endpoint = apply_filters( 'mwai_google_endpoint', "https://generativelanguage.googleapis.com/v1", $this->env );
}
else {
throw new Exception( 'Unknown environment type: ' . $this->envType );
}
}
// Check for a JSON-formatted error in the data, and throw an exception if it's the case.
function check_for_error( $data ) {
if ( strpos( $data, 'error' ) === false ) {
return;
}
if ( strpos( $data, 'data: ' ) === 0 ) {
$jsonPart = substr( $data, strlen( 'data: ' ) );
}
else {
$jsonPart = $data;
}
$json = json_decode( $jsonPart, true );
if ( json_last_error() === JSON_ERROR_NONE ) {
if ( isset( $json['error'] ) ) {
$error = $json['error'];
$code = $error['code'];
$message = $error['message'];
throw new Exception( "Error $code: $message" );
}
}
}
private function build_messages( $query ) {
$messages = [];
// First, we need to add the first message (the instructions).
if ( !empty( $query->instructions ) ) {
$messages[] = [ 'role' => 'model', 'parts' => [ [ 'text' => $query->instructions ] ] ];
}
// Then, if any, we need to add the 'messages', they are already formatted.
foreach ( $query->messages as $message ) {
// messages contains role and content (as OpenAI does it, but we need to convert it to Google's format)
// role's assistant should be model, and user should be user.
$newMessage = [ 'role' => $message['role'], 'parts' => [] ];
if ( isset( $message['content'] ) ) {
$newMessage['parts'][] = [ 'text' => $message['content'] ];
}
if ( $newMessage['role'] === 'assistant' ) {
$newMessage['role'] = 'model';
}
$messages[] = $newMessage;
}
// If there is a context, we need to add it.
if ( !empty( $query->context ) ) {
$messages[] = [ 'role' => 'model', 'parts' => [ [ 'text' => $query->context ] ] ];
}
// Finally, we need to add the message, but if there is an image, we need to add it as a model message.
if ( $query->attachedFile) {
// Gemini doesn't handle URL uploads, so we need to convert it to base64.
//$remote_upload = $this->core->get_option( 'image_remote_upload' );
$data = $query->attachedFile->get_base64();
//$data = strpos( $data, 'data:' ) === 0;
$messages[] = [
'role' => 'user',
'parts' => [
[
"inlineData" => [
"mimeType" => "image/jpeg",
"data" => $data // We need to be careful here to get only the data part
]
],
[
"text" => $query->get_message()
]
]
];
// TODO: Gemini doesn't support multiturn chat with Vision...
// So we only keep the message that goes with the image.
$messages = array_slice( $messages, -1 );
}
else {
$messages[] = [ 'role' => 'user', 'parts' => [ [ 'text' => $query->get_message() ] ] ];
}
// Streamline the messages
$messages = $this->streamline_messages( $messages, 'model', 'parts' );
return $messages;
}
protected function stream_data_handler( $json ) {
$content = null;
// Get the content
if ( isset( $json['candidates'][0]['content']['parts'][0]['text'] ) ) {
$content = $json['candidates'][0]['content']['parts'][0]['text'];
}
// Avoid some endings
$endings = [ "<|im_end|>", "</s>" ];
if ( in_array( $content, $endings ) ) {
$content = null;
}
return ( $content === '0' || !empty( $content ) ) ? $content : null;
}
protected function build_headers( $query ) {
if ( $query->apiKey ) {
$this->apiKey = $query->apiKey;
}
if ( empty( $this->apiKey ) ) {
throw new Exception( 'No API Key provided. Please visit the Settings.' );
}
$headers = array(
'Content-Type' => 'application/json',
);
return $headers;
}
protected function build_options( $headers, $json = null, $forms = null, $method = 'POST' ) {
$body = null;
if ( !empty( $forms ) ) {
throw new Exception( 'No support for form-data requests yet.' );
// $boundary = wp_generate_password ( 24, false );
// $headers['Content-Type'] = 'multipart/form-data; boundary=' . $boundary;
// $body = $this->build_form_body( $forms, $boundary );
}
else if ( !empty( $json ) ) {
$body = json_encode( $json );
}
$options = array(
'headers' => $headers,
'method' => $method,
'timeout' => MWAI_TIMEOUT,
'body' => $body,
'sslverify' => false
);
return $options;
}
public function run_query( $url, $options, $isStream = false ) {
try {
$options['stream'] = $isStream;
if ( $isStream ) {
$options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' );
}
$res = wp_remote_get( $url, $options );
if ( is_wp_error( $res ) ) {
throw new Exception( $res->get_error_message() );
}
if ( $isStream ) {
return [ 'stream' => true ];
}
$response = wp_remote_retrieve_body( $res );
$headersRes = wp_remote_retrieve_headers( $res );
$headers = $headersRes->getAll();
// Check if Content-Type is 'multipart/form-data' or 'text/plain'
// If so, we don't need to decode the response
$normalizedHeaders = array_change_key_case( $headers, CASE_LOWER );
$resContentType = $normalizedHeaders['content-type'] ?? '';
if ( strpos( $resContentType, 'multipart/form-data' ) !== false || strpos( $resContentType, 'text/plain' ) !== false ) {
return [ 'stream' => false, 'headers' => $headers, 'data' => $response ];
}
$data = json_decode( $response, true );
$this->handle_response_errors( $data );
return [ 'headers' => $headers, 'data' => $data ];
}
catch ( Exception $e ) {
$this->core->log( "❌ (Google) " . $e->getMessage() );
throw $e;
}
}
public function run_completion_query( $query, $streamCallback = null ) : Meow_MWAI_Reply {
if ( !is_null( $streamCallback ) ) {
$this->streamCallback = $streamCallback;
add_action( 'http_api_curl', array( $this, 'stream_handler' ), 10, 3 );
}
$body = array(
"generationConfig" => [
"candidateCount" => $query->maxResults,
"maxOutputTokens" => $query->maxTokens,
"temperature" => $query->temperature,
"stopSequences" => [],
],
);
// if ( !empty( $query->stop ) ) {
// $body['generationConfig']['stop'] = $query->stop;
// }
// if ( !empty( $query->responseFormat ) ) {
// if ( $query->responseFormat === 'json' ) {
// $body['response_format'] = [ 'type' => 'json_object' ];
// }
// }
if ( !empty( $query->functions ) ) {
throw new Exception( 'AI Engine doesn\'t support Function Calling with Google models yet.' );
//$body['functions'] = $query->functions;
//$body['function_call'] = $query->functionCall;
}
if ( $query->mode !== 'chat' ) {
throw new Exception( 'Google models only support chat mode.' );
}
$body['contents'] = $this->build_messages( $query );
$url = $this->endpoint;
// Streaming:
// $url .= '/models/' . $query->model . ':streamGenerateContent';
$url .= '/models/' . $query->model . ':generateContent';
// If streaming is enabled, we need to use the SSE endpoint.
if ( !is_null( $streamCallback ) ) {
$url .= '?alt=sse';
}
// Add the API key
if ( strpos( $url, '?' ) === false ) {
$url .= '?key=' . $this->apiKey;
}
else {
$url .= '&key=' . $this->apiKey;
}
$headers = $this->build_headers( $query );
$options = $this->build_options( $headers, $body );
try {
$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_choices = [];
if ( !is_null( $streamCallback ) ) {
// Streamed data
if ( empty( $this->streamContent ) ) {
$json = json_decode( $this->streamBuffer, true );
if ( isset( $json['error']['message'] ) ) {
throw new Exception( $json['error']['message'] );
}
}
$returned_id = $this->inId;
$returned_model = $this->inModel ? $this->inModel : $query->model;
$returned_choices = [
[
'message' => [
'content' => $this->streamContent,
'function_call' => $this->streamFunctionCall
]
]
];
}
else {
// Regular data
$data = $res['data'];
if ( empty( $data ) ) {
throw new Exception( 'No content received (res is null).' );
}
// Not much information from Google's API :(
$returned_id = null;
$returned_model = $query->model;
$returned_in_tokens = null;
$returned_out_tokens = null;
// We should return the candidates formatted as OpenAI does it.
$returned_choices = [];
if ( isset( $data['candidates'] ) ) {
$candidates = $data['candidates'];
foreach ( $candidates as $candidate ) {
$content = $candidate['content'];
$text = $content['parts'][0]['text'];
$returned_choices[] = [ 'role' => 'assistant', 'text' => $text ];
}
}
}
// Set the results.
$reply->set_choices( $returned_choices );
if ( !empty( $returned_id ) ) {
$reply->set_id( $returned_id );
}
// Handle tokens.
$this->handle_tokens_usage( $reply, $query, $returned_model, $returned_in_tokens, $returned_out_tokens );
return $reply;
}
catch ( Exception $e ) {
$this->core->log( "❌ (Google) " . $e->getMessage() );
$message = "From Google: " . $e->getMessage();
throw new Exception( $message );
}
}
public function handle_tokens_usage( $reply, $query, $returned_model,
$returned_in_tokens, $returned_out_tokens ) {
$returned_in_tokens = !is_null( $returned_in_tokens ) ?
$returned_in_tokens : $reply->get_in_tokens( $query );
$returned_out_tokens = !is_null( $returned_out_tokens ) ?
$returned_out_tokens : $reply->get_out_tokens();
$usage = $this->core->record_tokens_usage(
$returned_model,
$returned_in_tokens,
$returned_out_tokens
);
$reply->set_usage( $usage );
}
/*
This is the rest of the OpenAI API support, not related to the models directly.
*/
// Check if there are errors in the response from OpenAI, and throw an exception if so.
public function handle_response_errors( $data ) {
if ( isset( $data['error'] ) ) {
$message = $data['error']['message'];
if ( preg_match( '/API key provided(: .*)\./', $message, $matches ) ) {
$message = str_replace( $matches[1], '', $message );
}
throw new Exception( $message );
}
}
public function get_models() {
return $this->core->get_engine_models( 'google' );
}
public function retrieve_models() {
$url = "https://generativelanguage.googleapis.com/v1/models";
$url .= "?key=" . $this->apiKey;
$response = wp_remote_get( $url );
if ( is_wp_error( $response ) ) {
throw new Exception( 'AI Engine: ' . $response->get_error_message() );
}
$body = json_decode( $response['body'], true );
$models = array();
foreach ( $body['models'] as $model ) {
if ( strpos( $model['name'], 'gemini' ) === false ) {
continue;
}
$family = "gemini";
$maxCompletionTokens = $model['outputTokenLimit'];
$maxContextualTokens = $model['inputTokenLimit'];
$priceIn = 0;
$priceOut = 0;
$tags = [ 'core', 'chat' ];
// If the name contains (beta), (alpha) or (preview), add 'preview' tag and remove from name
if ( preg_match( '/\((beta|alpha|preview)\)/i', $model['name'], $matches ) ) {
$tags[] = 'preview';
$model['name'] = preg_replace( '/\((beta|alpha|preview)\)/i', '', $model['name'] );
}
// If the name includes 'Vision', add 'vision' tag
if ( preg_match( '/vision/i', $model['name'], $matches ) ) {
$tags[] = 'vision';
}
$name = preg_replace( '/^models\//', '', $model['name'] );
$model = array(
'model' => $name,
'name' => $name,
'family' => $family,
'mode' => 'chat',
'type' => 'token',
'unit' => 1 / 1000,
'maxCompletionTokens' => $maxCompletionTokens,
'maxContextualTokens' => $maxContextualTokens,
'tags' => $tags
);
if ( $priceIn > 0 && $priceOut > 0 ) {
$model['price'] = array(
'in' => $priceIn,
'out' => $priceOut,
);
}
$models[] = $model;
}
return $models;
}
public function get_price( Meow_MWAI_Query_Base $query, Meow_MWAI_Reply $reply ) {
// TODO: Not sure how to get the price from Google's API.
return null;
}
}