v1.7.1

modules/ocha_ai_tag/src/Services/OchaAiTagTagger.php

@@ -6,6 +6,7 @@
 use Drupal\Core\Cache\Cache;
 use Drupal\Core\Cache\CacheBackendInterface;
 use Drupal\Core\Config\ConfigFactoryInterface;
+use Drupal\Core\Config\ImmutableConfig;
 use Drupal\Core\Database\Connection;
 use Drupal\Core\Logger\LoggerChannelFactoryInterface;
 use Drupal\Core\Session\AccountProxyInterface;
@@ -37,6 +38,13 @@ class OchaAiTagTagger extends OchaAiChat {
    */
   protected CacheBackendInterface $cacheBackend;
 
+  /**
+   * The AI tagger config.
+   *
+   * @var \Drupal\Core\Config\ImmutableConfig
+   */
+  protected ImmutableConfig $config;
+
   /**
    * Vocabulary mapping.
    *

src/Plugin/CompletionPluginInterface.php

@@ -20,6 +20,24 @@ interface CompletionPluginInterface {
    */
   public function answer(string $question, string $context): string;
 
+  /**
+   * Perform a completion query.
+   *
+   * @param string $prompt
+   *   Prompt.
+   * @param string $system_prompt
+   *   Optional system prompt.
+   * @param array $parameters
+   *   Optional parameters for the payload: max_tokens, temperature, top_p.
+   * @param bool $raw
+   *   Whether to return the raw output text or let the plugin do some
+   *   processing if any.
+   *
+   * @return string|null
+   *   The model output text or NULL in case of error when querying the model.
+   */
+  public function query(string $prompt, string $system_prompt = '', array $parameters = [], bool $raw = TRUE): ?string;
+
   /**
    * Get the prompt template.
    *

src/Plugin/ocha_ai/Completion/AwsBedrock.php

@@ -41,9 +41,20 @@ public function answer(string $question, string $context): string {
       return '';
     }
 
+    return $this->query($prompt, raw: FALSE) ?? '';
+  }
+
+  /**
+   * {@inheritdoc}
+   */
+  public function query(string $prompt, string $system_prompt = '', array $parameters = [], bool $raw = TRUE): ?string {
+    if (empty($prompt)) {
+      return '';
+    }
+
     $payload = [
       'accept' => 'application/json',
-      'body' => json_encode($this->generateRequestBody($prompt)),
+      'body' => json_encode($this->generateRequestBody($prompt, $parameters)),
       'contentType' => 'application/json',
       'modelId' => $this->getPluginSetting('model'),
     ];
@@ -67,20 +78,24 @@ public function answer(string $question, string $context): string {
       return '';
     }
 
-    return $this->parseResponseBody($data);
+    return $this->parseResponseBody($data, $raw);
   }
 
   /**
    * Generate the request body for the completion.
    *
    * @param string $prompt
    *   Prompt.
+   * @param array $parameters
+   *   Parameters for the payload: max_tokens, temperature, top_p.
    *
    * @return array
    *   Request body.
    */
-  protected function generateRequestBody(string $prompt): array {
-    $max_tokens = (int) $this->getPluginSetting('max_tokens', 512);
+  protected function generateRequestBody(string $prompt, array $parameters = []): array {
+    $max_tokens = (int) ($parameters['max_tokens'] ?? $this->getPluginSetting('max_tokens', 512));
+    $temperature = (float) ($parameters['temperature'] ?? 0.0);
+    $top_p = (float) ($parameters['top_p'] ?? 0.9);
 
     switch ($this->getPluginSetting('model')) {
       case 'amazon.titan-text-express-v1':
@@ -90,16 +105,16 @@ protected function generateRequestBody(string $prompt): array {
             'maxTokenCount' => $max_tokens,
             // @todo adjust based on the prompt?
             'stopSequences' => [],
-            'temperature' => 0.0,
-            'topP' => 0.9,
+            'temperature' => $temperature,
+            'topP' => $top_p,
           ],
         ];
 
       case 'anthropic.claude-instant-v1':
         return [
           'prompt' => "\n\nHuman:$prompt\n\nAssistant:",
-          'temperature' => 0.0,
-          'top_p' => 0.9,
+          'temperature' => $temperature,
+          'top_p' => $top_p,
           'top_k' => 0,
           'max_tokens_to_sample' => $max_tokens,
           'stop_sequences' => ["\n\nHuman:"],
@@ -109,8 +124,8 @@ protected function generateRequestBody(string $prompt): array {
       case 'cohere.command-light-text-v14':
         return [
           'prompt' => $prompt,
-          'temperature' => 0.0,
-          'p' => 0.9,
+          'temperature' => $temperature,
+          'p' => $top_p,
           'k' => 0.0,
           'max_tokens' => $max_tokens,
           'stop_sequences' => [],
@@ -129,11 +144,14 @@ protected function generateRequestBody(string $prompt): array {
    *
    * @param array $data
    *   Decoded response.
+   * @param bool $raw
+   *   Whether to return the raw output text or let the plugin do some
+   *   processing if any.
    *
    * @return string
    *   The generated text.
    */
-  protected function parseResponseBody(array $data): string {
+  protected function parseResponseBody(array $data, bool $raw = TRUE): string {
     switch ($this->getPluginSetting('model')) {
       case 'amazon.titan-text-express-v1':
         return trim($data['results'][0]['outputText'] ?? '');

src/Plugin/ocha_ai/Completion/AwsBedrockTitanTextPremierV1.php

@@ -94,30 +94,36 @@ public function getPromptTemplate(): string {
   /**
    * {@inheritdoc}
    */
-  protected function generateRequestBody(string $prompt): array {
-    $max_tokens = (int) $this->getPluginSetting('max_tokens', 512);
+  protected function generateRequestBody(string $prompt, array $parameters = []): array {
+    $max_tokens = (int) ($parameters['max_tokens'] ?? $this->getPluginSetting('max_tokens', 512));
+    $temperature = (float) ($parameters['temperature'] ?? 0.0);
+    $top_p = (float) ($parameters['top_p'] ?? 0.9);
 
     return [
       'inputText' => $prompt,
       'textGenerationConfig' => [
         'maxTokenCount' => $max_tokens,
         // @todo adjust based on the prompt?
         'stopSequences' => [],
-        'temperature' => 0.0,
-        'topP' => 0.9,
+        'temperature' => $temperature,
+        'topP' => $top_p,
       ],
     ];
   }
 
   /**
    * {@inheritdoc}
    */
-  protected function parseResponseBody(array $data): string {
+  protected function parseResponseBody(array $data, bool $raw = TRUE): string {
     $response = trim($data['results'][0]['outputText'] ?? '');
     if ($response === '') {
       return '';
     }
 
+    if ($raw) {
+      return $response;
+    }
+
     // Extract the answer.
     $start = mb_strpos($response, '<answer>');
     $end = mb_strpos($response, '</answer>');

src/Plugin/ocha_ai/Completion/AzureOpenAi.php

@@ -43,23 +43,38 @@ public function answer(string $question, string $context): string {
       return '';
     }
 
+    return $this->query($question, $prompt) ?? '';
+  }
+
+  /**
+   * {@inheritdoc}
+   */
+  public function query(string $prompt, string $system_prompt = '', array $parameters = [], bool $process = FALSE): ?string {
+    if (empty($prompt)) {
+      return '';
+    }
+
+    $max_tokens = (int) ($parameters['max_tokens'] ?? $this->getPluginSetting('max_tokens', 512));
+    $temperature = (float) ($parameters['temperature'] ?? 0.0);
+    $top_p = (float) ($parameters['top_p'] ?? 0.9);
+
     $messages = [
       [
         'role' => 'system',
-        'content' => $prompt,
+        'content' => $system_prompt ?: 'You are a helpful assistant.',
       ],
       [
         'role' => 'user',
-        'content' => $question,
+        'content' => $prompt,
       ],
     ];
 
     $payload = [
       'model' => $this->getPluginSetting('model'),
       'messages' => $messages,
-      'temperature' => 0.0,
-      'top_p' => 0.9,
-      'max_tokens' => (int) $this->getPluginSetting('max_tokens', 512),
+      'temperature' => $temperature,
+      'top_p' => $top_p,
+      'max_tokens' => $max_tokens,
     ];
 
     try {
@@ -70,7 +85,7 @@ public function answer(string $question, string $context): string {
       $this->getLogger()->error(strtr('Completion request failed with: @error.', [
         '@error' => $exception->getMessage(),
       ]));
-      return '';
+      return NULL;
     }
 
     try {
@@ -80,7 +95,7 @@ public function answer(string $question, string $context): string {
       $this->getLogger()->error(strtr('Unable to retrieve completion result data: @error.', [
         '@error' => $exception->getMessage(),
       ]));
-      return '';
+      return NULL;
     }
 
     return trim($data['choices'][0]['message']['content'] ?? '');