aboutsummaryrefslogtreecommitdiffstats
path: root/model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java
diff options
context:
space:
mode:
Diffstat (limited to 'model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java')
-rw-r--r--model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java40
1 files changed, 34 insertions, 6 deletions
diff --git a/model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java b/model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java
index aa7c071b93a..fd02756e2ea 100644
--- a/model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java
+++ b/model-integration/src/main/java/ai/vespa/llm/clients/LocalLLM.java
@@ -3,6 +3,7 @@ package ai.vespa.llm.clients;
import ai.vespa.llm.InferenceParameters;
import ai.vespa.llm.LanguageModel;
+import ai.vespa.llm.LanguageModelException;
import ai.vespa.llm.completion.Completion;
import ai.vespa.llm.completion.Prompt;
import com.yahoo.component.AbstractComponent;
@@ -14,10 +15,14 @@ import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
import java.util.concurrent.RejectedExecutionException;
+import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
+import java.util.concurrent.atomic.AtomicBoolean;
import java.util.function.Consumer;
import java.util.logging.Logger;
@@ -29,14 +34,19 @@ import java.util.logging.Logger;
public class LocalLLM extends AbstractComponent implements LanguageModel {
private final static Logger logger = Logger.getLogger(LocalLLM.class.getName());
+
+ private final ScheduledExecutorService scheduler = Executors.newSingleThreadScheduledExecutor();
+
private final LlamaModel model;
private final ThreadPoolExecutor executor;
+ private final long queueTimeoutMilliseconds;
private final int contextSize;
private final int maxTokens;
@Inject
public LocalLLM(LlmLocalClientConfig config) {
executor = createExecutor(config);
+ queueTimeoutMilliseconds = config.maxQueueWait();
// Maximum number of tokens to generate - need this since some models can just generate infinitely
maxTokens = config.maxTokens();
@@ -74,6 +84,7 @@ public class LocalLLM extends AbstractComponent implements LanguageModel {
logger.info("Closing LLM model...");
model.close();
executor.shutdownNow();
+ scheduler.shutdownNow();
}
@Override
@@ -104,22 +115,39 @@ public class LocalLLM extends AbstractComponent implements LanguageModel {
// Todo: more options?
var completionFuture = new CompletableFuture<Completion.FinishReason>();
+ var hasStarted = new AtomicBoolean(false);
try {
- executor.submit(() -> {
- for (LlamaModel.Output output : model.generate(inferParams)) {
+ Future<?> future = executor.submit(() -> {
+ hasStarted.set(true);
+ for (var output : model.generate(inferParams)) {
consumer.accept(Completion.from(output.text, Completion.FinishReason.none));
}
completionFuture.complete(Completion.FinishReason.stop);
});
+
+ if (queueTimeoutMilliseconds > 0) {
+ scheduler.schedule(() -> {
+ if ( ! hasStarted.get()) {
+ future.cancel(false);
+ String error = rejectedExecutionReason("Rejected completion due to timeout waiting to start");
+ completionFuture.completeExceptionally(new LanguageModelException(504, error));
+ }
+ }, queueTimeoutMilliseconds, TimeUnit.MILLISECONDS);
+ }
+
} catch (RejectedExecutionException e) {
// If we have too many requests (active + any waiting in queue), we reject the completion
- int activeCount = executor.getActiveCount();
- int queueSize = executor.getQueue().size();
- String error = String.format("Rejected completion due to too many requests, " +
- "%d active, %d in queue", activeCount, queueSize);
+ String error = rejectedExecutionReason("Rejected completion due to too many requests");
throw new RejectedExecutionException(error);
}
return completionFuture;
}
+ private String rejectedExecutionReason(String prepend) {
+ int activeCount = executor.getActiveCount();
+ int queueSize = executor.getQueue().size();
+ return String.format("%s, %d active, %d in queue", prepend, activeCount, queueSize);
+ }
+
+
}