Merged with tp lmlib
This commit is contained in:
16
README.md
16
README.md
@@ -8,13 +8,13 @@ The program is a comprehensive conversational AI system that provides natural la
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The program consists of several packages that work together to achieve this goal. These packages include:
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1. **Caching layer (com.transporeon.exchange.lmlib.client.cached)**: Improves performance by reducing requests to the underlying client through caching and retrieving completion responses.
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2. **Natural Language Processing (com.transporeon.exchange.lmlib.client)**: Provides conversation management and text completion functionality, generating completions, processing conversations, and managing models.
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3. **Azure AI Integration (com.transporeon.exchange.lmlib.client.azureai)**: Integrates with Azure AI services, managing model profiles and handling conversation completions.
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4. **Text Completion (com.transporeon.exchange.lmlib.client.textcompletion)**: Provides text completion functionality using AI models, including model selection, prompt generation, and response handling.
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5. **Text Tokenization (com.transporeon.exchange.lmlib.token)**: Tokenizes text into numerical tokens and detokenizes numerical tokens back into human-readable text.
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6. **Conversation Prompts (com.transporeon.exchange.lmlib.prompt)**: Manages conversation prompts, creating new prompts, continuing conversations, and removing end-of-text markers.
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7. **Agent Executor (com.transporeon.exchange.lmlib.agent)**: Executes agent graphs concurrently, handles agent responses, and tracks request statistics.
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1. **Caching layer (.lmlib.client.cached)**: Improves performance by reducing requests to the underlying client through caching and retrieving completion responses.
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2. **Natural Language Processing (.lmlib.client)**: Provides conversation management and text completion functionality, generating completions, processing conversations, and managing models.
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3. **Azure AI Integration (.lmlib.client.azureai)**: Integrates with Azure AI services, managing model profiles and handling conversation completions.
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4. **Text Completion (.lmlib.client.textcompletion)**: Provides text completion functionality using AI models, including model selection, prompt generation, and response handling.
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5. **Text Tokenization (.lmlib.token)**: Tokenizes text into numerical tokens and detokenizes numerical tokens back into human-readable text.
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6. **Conversation Prompts (.lmlib.prompt)**: Manages conversation prompts, creating new prompts, continuing conversations, and removing end-of-text markers.
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7. **Agent Executor (.lmlib.agent)**: Executes agent graphs concurrently, handles agent responses, and tracks request statistics.
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The program's key features include:
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@@ -88,7 +88,7 @@ If you use jtokkit tokenizer:
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<artifactId>jtokkit</artifactId>
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</dependency>
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It is required to select the right prompt template. See package com.transporeon.exchange.lmlib.prompt for available prompt templates or implement your own PromptStrategy (must be a bean in the spring context).
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It is required to select the right prompt template. See package .lmlib.prompt for available prompt templates or implement your own PromptStrategy (must be a bean in the spring context).
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Set the following property in your model profile:
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@@ -19,7 +19,7 @@ import reactor.netty.http.client.HttpClient;
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@Configuration
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public class WebClientConfiguration {
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private static final int TIMEOUT = 900000;
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private static final int TIMEOUT = 300000;
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private static final int CONNECT_TIMEOUT = 10000;
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@@ -1,6 +1,8 @@
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package de.extio.lmlib.client.azureai;
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import java.math.BigDecimal;
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import java.net.InetSocketAddress;
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import java.net.Proxy;
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import java.time.Duration;
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import java.time.LocalDateTime;
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import java.util.ArrayDeque;
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@@ -26,6 +28,8 @@ import com.azure.ai.inference.models.ChatRequestSystemMessage;
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import com.azure.ai.inference.models.ChatRequestUserMessage;
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import com.azure.ai.inference.models.CompletionsFinishReason;
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import com.azure.core.credential.AzureKeyCredential;
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import com.azure.core.http.HttpClient;
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import com.azure.core.http.okhttp.OkHttpAsyncHttpClientBuilder;
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import com.azure.core.http.policy.ExponentialBackoffOptions;
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import com.azure.core.http.policy.RetryOptions;
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@@ -35,23 +39,49 @@ import de.extio.lmlib.client.Conversation;
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import de.extio.lmlib.client.Conversation.Turn;
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import de.extio.lmlib.profile.ModelCategory;
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import de.extio.lmlib.profile.ModelProfile;
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import de.extio.lmlib.profile.ModelProfileService;
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import de.extio.lmlib.profile.ModelProfile.ModelProvider;
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import de.extio.lmlib.profile.ModelProfileService;
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import de.extio.lmlib.token.Tokenizer;
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import okhttp3.Authenticator;
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import okhttp3.Challenge;
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import okhttp3.Credentials;
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import okhttp3.OkHttpClient;
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import okhttp3.Request;
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import okhttp3.Response;
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import okhttp3.Route;
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public final class AzureAiClient implements Client {
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private static final Logger LOGGER = LoggerFactory.getLogger(AzureAiClient.class);
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private static final int TIMEOUT = 300000;
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private static final int CONNECT_TIMEOUT = 10000;
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private final ConcurrentMap<ModelCategory, ChatCompletionsClient> chatCompletionsClients = new ConcurrentHashMap<>();
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private final ModelProfileService modelProfileService;
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private final Tokenizer tokenizer;
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AzureAiClient(final ModelProfileService modelProfileService, final Tokenizer tokenizer) {
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private final boolean proxyEnabled;
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private final String proxyHost;
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private final int proxyPort;
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private final String proxyUser;
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private final String proxyPassword;
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AzureAiClient(final ModelProfileService modelProfileService, final Tokenizer tokenizer, final boolean proxyEnabled, final String proxyHost, final int proxyPort, final String proxyUser, final String proxyPassword) {
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this.modelProfileService = modelProfileService;
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this.tokenizer = tokenizer;
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this.proxyEnabled = proxyEnabled;
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this.proxyHost = proxyHost;
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this.proxyPort = proxyPort;
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this.proxyUser = proxyUser;
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this.proxyPassword = proxyPassword;
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}
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@Override
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@@ -98,7 +128,7 @@ public final class AzureAiClient implements Client {
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answers.add(answer);
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}
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// TODO: Reactivate when multiple (split) prompts have been implemented again
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// TODO: Reactivate when multiple (split) prompts have been implemented again in #addChatRequestMessage
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// if (answers.size() > 1) {
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// this.summarize(answers, modelProfile, promptStrategy, statistics);
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// }
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@@ -179,6 +209,7 @@ public final class AzureAiClient implements Client {
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prompt = this.tokenizer.detokenize(tokenized, modelProfile);
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trimmed = true;
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}
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chat.add(messageFactory.apply(prompt));
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return trimmed;
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@@ -211,20 +242,7 @@ public final class AzureAiClient implements Client {
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private ChatCompletions requestCompletions(final List<ChatRequestMessage> chat, final ModelCategory modelCategory, final ModelProfile modelProfile) {
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LOGGER.debug("Requesting ChatCompletion at {}", modelProfile.modelName());
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final var client = this.chatCompletionsClients.computeIfAbsent(modelCategory, key -> {
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final ExponentialBackoffOptions exponentialOptions = new ExponentialBackoffOptions()
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.setMaxRetries(99)
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.setBaseDelay(Duration.ofSeconds(1))
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.setMaxDelay(Duration.ofSeconds(10));
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final RetryOptions retryOptions = new RetryOptions(exponentialOptions);
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final ChatCompletionsClient chatCompletionsClient = new ChatCompletionsClientBuilder()
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.credential(new AzureKeyCredential(modelProfile.apiKey()))
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.endpoint(modelProfile.url())
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.retryOptions(retryOptions)
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.buildClient();
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return chatCompletionsClient;
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});
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final var client = this.createHttpClient(modelCategory, modelProfile);
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final var options = new ChatCompletionsOptions(chat);
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options.setModel(modelProfile.modelName());
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@@ -235,6 +253,80 @@ public final class AzureAiClient implements Client {
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return client.complete(options);
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}
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private ChatCompletionsClient createHttpClient(final ModelCategory modelCategory, final ModelProfile modelProfile) {
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return this.chatCompletionsClients.computeIfAbsent(modelCategory, key -> {
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final ExponentialBackoffOptions exponentialOptions = new ExponentialBackoffOptions()
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.setMaxRetries(99)
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.setBaseDelay(Duration.ofSeconds(1))
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.setMaxDelay(Duration.ofSeconds(10));
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final RetryOptions retryOptions = new RetryOptions(exponentialOptions)
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.setShouldRetryCondition(httpResponse -> {
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if (httpResponse != null) {
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if (httpResponse.getThrowable() != null) {
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return true;
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}
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if (httpResponse.getResponse() != null) {
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return this.shouldRetryError(httpResponse.getResponse().getStatusCode());
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}
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}
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return false;
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});
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final OkHttpClient.Builder nativeOkHttpClientBuilder = new OkHttpClient.Builder();
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if (this.proxyEnabled) {
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LOGGER.info("Proxy is enabled. Configuring proxy settings for host: {} port: {} user: {}", this.proxyHost, this.proxyPort, this.proxyUser);
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final Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress(this.proxyHost, this.proxyPort));
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nativeOkHttpClientBuilder.proxy(proxy);
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if (this.proxyUser != null && this.proxyPassword != null) {
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final Authenticator proxyAuthenticator = new Authenticator() {
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@Override
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public Request authenticate(final Route route, final Response response) {
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for (final Challenge challenge : response.challenges()) {
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if (challenge.scheme().equalsIgnoreCase("OkHttp-Preemptive")) {
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final String credential = Credentials.basic(proxyUser, proxyPassword);
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return response.request().newBuilder()
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.header("Proxy-Authorization", credential)
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.build();
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}
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}
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return null;
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}
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};
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nativeOkHttpClientBuilder.proxyAuthenticator(proxyAuthenticator);
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} else {
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LOGGER.warn("Proxy user or password is not set. Skipping proxy authentication.");
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}
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} else {
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LOGGER.info("Proxy is not enabled. Skipping proxy configuration.");
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}
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final OkHttpClient nativeOkHttpClient = nativeOkHttpClientBuilder.build();
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final OkHttpAsyncHttpClientBuilder okHttpClientBuilder = new OkHttpAsyncHttpClientBuilder(nativeOkHttpClient);
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final HttpClient okHttpClient = okHttpClientBuilder
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.connectionTimeout(Duration.ofMillis(CONNECT_TIMEOUT))
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.readTimeout(Duration.ofMillis(TIMEOUT))
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.responseTimeout(Duration.ofMillis(TIMEOUT))
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.writeTimeout(Duration.ofMillis(TIMEOUT))
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.build();
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final ChatCompletionsClient chatCompletionsClient = new ChatCompletionsClientBuilder()
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.credential(new AzureKeyCredential(modelProfile.apiKey()))
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.endpoint(modelProfile.url())
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.retryOptions(retryOptions)
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.httpClient(okHttpClient)
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.buildClient();
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return chatCompletionsClient;
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});
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}
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private boolean shouldRetryError(final int statusCode) {
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return statusCode == 408 || statusCode == 429 || (statusCode >= 500 && statusCode < 600);
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}
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static class CompletionStatistics {
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int requests;
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20
src/main/java/de/extio/lmlib/client/azureai/AzureAiClientAutoConfiguration.java
Normal file → Executable file
20
src/main/java/de/extio/lmlib/client/azureai/AzureAiClientAutoConfiguration.java
Normal file → Executable file
@@ -1,5 +1,6 @@
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package de.extio.lmlib.client.azureai;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.boot.autoconfigure.AutoConfiguration;
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import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
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import org.springframework.context.annotation.Bean;
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@@ -8,12 +9,27 @@ import de.extio.lmlib.profile.ModelProfileService;
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import de.extio.lmlib.token.Tokenizer;
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@AutoConfiguration
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@ConditionalOnClass(name = "com.azure.ai.inference.ChatCompletionsClient")
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@ConditionalOnClass(name = {"com.azure.ai.inference.ChatCompletionsClient", "okhttp3.OkHttpClient" })
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public class AzureAiClientAutoConfiguration {
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@Value("${extproxy.enabled:false}")
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private boolean proxyEnabled;
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@Value("${extproxy.host:}")
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private String proxyHost;
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@Value("${extproxy.port:}")
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private int proxyPort;
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@Value("${extproxy.username:}")
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private String proxyUser;
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@Value("${extproxy.password:}")
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private String proxyPassword;
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@Bean
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AzureAiClient azureAiClient(final ModelProfileService modelProfileService, final Tokenizer tokenizer) {
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return new AzureAiClient(modelProfileService, tokenizer);
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return new AzureAiClient(modelProfileService, tokenizer, this.proxyEnabled, this.proxyHost, this.proxyPort, this.proxyUser, this.proxyPassword);
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}
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}
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@@ -9,6 +9,7 @@ import java.nio.file.Path;
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import java.util.List;
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import java.util.Map;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@@ -28,6 +29,7 @@ import io.netty.util.internal.ThreadLocalRandom;
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/**
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* These tests have been verified with Llama 3.1 8B and Gemma2 27B models
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*/
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@Disabled("This test requires a running Llama server or an Azure subscription (setup azure key in model profile)")
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@SpringBootTest(webEnvironment = WebEnvironment.NONE)
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@SpringBootConfiguration
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@ComponentScan(basePackages = "de.extio.lmlib")
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@@ -16,7 +16,7 @@ import de.extio.lmlib.client.Conversation.Turn;
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import de.extio.lmlib.client.Conversation.TurnType;
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import de.extio.lmlib.profile.ModelCategory;
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@Disabled
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@Disabled("This test requires an Azure subscription (setup azure key in model profile)")
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@SpringBootTest(webEnvironment = WebEnvironment.NONE)
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@SpringBootConfiguration
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@ComponentScan(basePackages = "de.extio.lmlib")
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@@ -35,7 +35,7 @@ public class AzureAiClientTest {
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"You are a clever story teller",
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"Continue this story:",
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"Once upon a time, there was a spaceship travelling to a black hole. The crew were cats!");
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LOGGER.info(completion.response());
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LOGGER.info(completion.toString());
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}
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@Test
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106
src/test/java/de/extio/lmlib/client/cached/CachedClientTest.java
Executable file
106
src/test/java/de/extio/lmlib/client/cached/CachedClientTest.java
Executable file
@@ -0,0 +1,106 @@
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package de.extio.lmlib.client.cached;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertFalse;
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import static org.junit.jupiter.api.Assertions.assertNotEquals;
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import static org.junit.jupiter.api.Assertions.assertTrue;
|
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import org.junit.jupiter.api.AfterEach;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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||||
import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.boot.SpringBootConfiguration;
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import org.springframework.boot.test.context.SpringBootTest;
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import org.springframework.boot.test.context.SpringBootTest.WebEnvironment;
|
||||
import org.springframework.context.annotation.ComponentScan;
|
||||
import org.springframework.context.annotation.PropertySource;
|
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|
||||
import de.extio.lmlib.client.ClientService;
|
||||
import de.extio.lmlib.client.Conversation;
|
||||
import de.extio.lmlib.client.Conversation.Turn;
|
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import de.extio.lmlib.client.Conversation.TurnType;
|
||||
import de.extio.lmlib.profile.ModelCategory;
|
||||
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||||
@Disabled("This test requires a running Llama server or an Azure subscription (setup azure key in model profile)")
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@SpringBootTest(webEnvironment = WebEnvironment.NONE)
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||||
@SpringBootConfiguration
|
||||
@ComponentScan(basePackages = "de.extio.lmlib")
|
||||
@PropertySource("classpath:/application-test.properties")
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||||
public class CachedClientTest {
|
||||
|
||||
private static final Logger LOGGER = LoggerFactory.getLogger(CachedClientTest.class);
|
||||
|
||||
@Autowired
|
||||
private TestCachedClientRepository cachedClientRepository;
|
||||
|
||||
@Autowired
|
||||
private ClientService clientService;
|
||||
|
||||
@AfterEach
|
||||
void afterEach() {
|
||||
this.cachedClientRepository.reset();
|
||||
}
|
||||
|
||||
@Test
|
||||
void cacheCompletion() throws Exception {
|
||||
var completion = this.clientService.getClient(ModelCategory.MEDIUM).completion(
|
||||
ModelCategory.MEDIUM,
|
||||
"You are a funny person",
|
||||
"Tell me a cat joke",
|
||||
"");
|
||||
LOGGER.info(completion.toString());
|
||||
assertFalse(completion.cached());
|
||||
assertEquals(1, completion.requests());
|
||||
final var firstResponse = completion.response();
|
||||
assertFalse(firstResponse.isBlank());
|
||||
|
||||
completion = this.clientService.getClient(ModelCategory.MEDIUM).completion(
|
||||
ModelCategory.MEDIUM,
|
||||
"You are a funny person",
|
||||
"Tell me a cat joke",
|
||||
"");
|
||||
LOGGER.info(completion.toString());
|
||||
assertTrue(completion.cached());
|
||||
assertEquals(0, completion.requests());
|
||||
assertEquals(firstResponse, completion.response());
|
||||
|
||||
completion = this.clientService.getClient(ModelCategory.MEDIUM).completion(
|
||||
ModelCategory.MEDIUM,
|
||||
"You are a funny person",
|
||||
"Tell me a dog joke",
|
||||
"");
|
||||
LOGGER.info(completion.toString());
|
||||
assertFalse(completion.cached());
|
||||
assertEquals(1, completion.requests());
|
||||
assertNotEquals(firstResponse, completion.response());
|
||||
}
|
||||
|
||||
@Test
|
||||
void cacheChat() throws Exception {
|
||||
final var conversation = Conversation.create("You are an assistant who stutters", "Hi there, I would like to know the climate in Munich.");
|
||||
|
||||
var completion = this.clientService.getClient(ModelCategory.MEDIUM).conversation(ModelCategory.MEDIUM, conversation);
|
||||
LOGGER.info(completion.toString());
|
||||
assertFalse(completion.cached());
|
||||
assertEquals(1, completion.requests());
|
||||
final var firstResponse = completion.response();
|
||||
assertFalse(firstResponse.isBlank());
|
||||
|
||||
completion = this.clientService.getClient(ModelCategory.MEDIUM).conversation(ModelCategory.MEDIUM, conversation);
|
||||
LOGGER.info(completion.toString());
|
||||
assertTrue(completion.cached());
|
||||
assertEquals(0, completion.requests());
|
||||
assertEquals(firstResponse, completion.response());
|
||||
|
||||
conversation.addTurn(new Turn(TurnType.ASSISTANT,
|
||||
"T-t-the climate in B-b-berlin, um, it's, uh, quite, c-c-cool, actually. B-b-berlin has a, um, temperate climate, with, uh, four distinct s-s-seasons. S-s-spring is, um, pretty mild, with, uh, temperatures ranging from, uh, 10 to 20 degrees Celsius. S-s-summer is, um, warm, with, uh, highs around 25 degrees Celsius. F-f-fall is, um, cool, with, uh, temperatures ranging from 5 to 15 degrees Celsius. And, um, w-w-winter is, uh, quite, c-c-cold, with, uh, temperatures ranging from -2 to 5 degrees Celsius."));
|
||||
conversation.addTurn(new Turn(TurnType.USER, "Great! How is the weather in summer?"));
|
||||
completion = this.clientService.getClient(ModelCategory.MEDIUM).conversation(ModelCategory.MEDIUM, conversation);
|
||||
LOGGER.info(completion.toString());
|
||||
assertFalse(completion.cached());
|
||||
assertEquals(1, completion.requests());
|
||||
assertNotEquals(firstResponse, completion.response());
|
||||
}
|
||||
}
|
||||
27
src/test/java/de/extio/lmlib/client/cached/TestCachedClientRepository.java
Executable file
27
src/test/java/de/extio/lmlib/client/cached/TestCachedClientRepository.java
Executable file
@@ -0,0 +1,27 @@
|
||||
package de.extio.lmlib.client.cached;
|
||||
|
||||
import java.util.concurrent.ConcurrentHashMap;
|
||||
import java.util.concurrent.ConcurrentMap;
|
||||
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
@Component
|
||||
class TestCachedClientRepository implements CachedClientRepository {
|
||||
|
||||
private final ConcurrentMap<String, CachedCompletion> cache = new ConcurrentHashMap<>();
|
||||
|
||||
@Override
|
||||
public CachedCompletion get(final String key) {
|
||||
return this.cache.get(key);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void put(final String key, final CachedCompletion completion) {
|
||||
this.cache.put(key, completion);
|
||||
}
|
||||
|
||||
void reset() {
|
||||
this.cache.clear();
|
||||
}
|
||||
|
||||
}
|
||||
@@ -23,6 +23,7 @@ import de.extio.lmlib.client.Conversation.Turn;
|
||||
import de.extio.lmlib.client.Conversation.TurnType;
|
||||
import de.extio.lmlib.profile.ModelCategory;
|
||||
|
||||
@Disabled("This test requires a running Llama server")
|
||||
@SpringBootTest(webEnvironment = WebEnvironment.NONE)
|
||||
@SpringBootConfiguration
|
||||
@ComponentScan(basePackages = "de.extio.lmlib")
|
||||
|
||||
@@ -2,6 +2,7 @@ package de.extio.lmlib.token;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
import org.junit.jupiter.api.Disabled;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.beans.factory.annotation.Qualifier;
|
||||
@@ -44,6 +45,7 @@ public class TokenizerTest {
|
||||
/**
|
||||
* Tested with a Llama 3.1 8B model. The test will likely fail if you load a different model.
|
||||
*/
|
||||
@Disabled("Requires llama.cpp model profile")
|
||||
@Test
|
||||
void llamaServer() throws Exception {
|
||||
final var tokenizer = new LlamaServerTokenizer(this.webClientBuilder);
|
||||
|
||||
Reference in New Issue
Block a user