Discussion: Streaming Input/Output (#3460960) · Issues · project / ai

Discussion: Streaming Input/Output

>>> [!note] Migrated issue   Reported by: [marcus_johansson](https://www.drupal.org/user/385947) >>> <h3 id="summary-problem-motivation">Problem/Motivation</h3> Normalization of the normal operation types were easy to do, you just have some normalized input object, normalized operation type and normalized output object. Now the problem is streaming. Streaming is mostly something that would be used for any project that has a nginx/apache server that can flush packets as they are being provided and a browser that can handle it, which leads to the possibility to be able to write out a message while its being sent from the provider API. This is the UX/UI anyone that every used ChatGPT knows, where the words comes while OpenAI are generating them. My initial thought about this was to just create a new operations type for chat specifically, so insteand of the normal chat operation type, there would be a streamChat that gives back some kind of iteration object that you can use. However streaming is more complex then that - if you use for instance Elevenlabs, you can do streaming of the audio while its being prepared. Or if you use Deepgram, you can stream the text while its being transcribed. But more importantly, with Deepgram you can also take your mp3 file or an audio live stream (your microphone) and transcribe it while it happens and its the same with Elevenlabs, it can generate from streamed text input. So in theory you could want an talk bot that has almost zero latency, meaning: 1. You talk in your microphone and this is getting transcribed in realtime. 2. As soon as there is silence the text is sent to a llm provider to have streamed output. 3. This streamed input is given to a text-to-speech provider that generates streamed audio output. Now one can argue that if someone wants to do this, it would require specific clients anyway, but it would be nice to normalize all that if we are anyway normalizing iterators. So the solution I came up with is that you still have any normal operation type interface like chat, it just happens to be able to output a StreamedChatMessageIteratorInterface instead of a ChatMessage object when you are requesting streamed output for instance. The iterator is just a iterator with standard methods (in the case getRole, getText, getMetadata) This means that if we have iterator out of something, we can transform that to input iterators for the next step. Since there are providers that do no do streaming, the application would have to check what is returned and have double logic for it, or we return a iterator that only has one row. The second part would be to normalize the configuration to wanting streamed output. since the configuration for settings this might be different from OpenAI and Mistral for instance. This means that there would be a streamedOutput method you can prepend and operation type that can generate streamed output with to make it run for that time, so code example to do normalized streamed chat would be: <div class="codeblock"> <pre><?php // Use this when you want to be able to swap the provider. $config = [   "max_tokens" => 4096,   "temperature" => 1,   "frequency_penalty" => 0,   "presence_penalty" => 0,   "top_p" => 1, ]; $input = new \Drupal\ai\OperationType\Chat\ChatInput([   new \Drupal\ai\OperationType\Chat\ChatMessage("system", "You are an helpful assistant"),   new \Drupal\ai\OperationType\Chat\ChatMessage("user", "Write 2 paragraphs about Selenium!"), ]); $ai_provider = \Drupal::service('ai.provider')->createInstance('openai'); $ai_provider->setConfiguration($config); // Normalized $response of a streamed chat where possible. $response = $ai_provider->streamedOutput()->chat($input, 'gpt-4o', ["your_module_name"])->getNormalized(); // If you want to stream the response normalized you have to make sure // the provider supports it and have a fallback if not. This shows how. // It is a stream response. if ($response instanceof \Drupal\ai\OperationType\Chat\StreamedChatMessageIteratorInterface) {   // This is a stream response.   // You can loop through the response and output it as it comes in. /* @var \Drupal\ai\OperationType\Chat\StreamedChatMessage $chat_message */   foreach ($response as $chat_message) {     echo $chat_message->getText();   } } else {   // This is a normal response.   echo $response->getText(); } ?></pre></div> Does this make sense to people? The other option would be to make my initial thought or someone might have a better idea? This is implemented in this branch if someone wants to try it out: <a href="https://git.drupalcode.org/project/ai/-/tree/chat-stream?ref_type=heads">https://git.drupalcode.org/project/ai/-/tree/chat-stream?ref_type=heads</a>

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