Merge branch 'main' of github.com:extio-de/lm-lib

README.md

@@ -47,7 +47,7 @@ The published artifacts are hosted on Maven Central, so no additional repository
 <dependency>
     <groupId>de.extio</groupId>
     <artifactId>lm-lib</artifactId>
-    <version>2.6.0</version>
+    <version>2.8.0</version>
 </dependency>
 ```
 
@@ -202,8 +202,6 @@ final var modelProfile = new ModelProfile(
     new BigDecimal("0.125").divide(new BigDecimal(1000000)),
     new BigDecimal("10.0").divide(new BigDecimal(1000000)),
     BigDecimal.ZERO,
-    null,
-    null,
     "DYNAMIC"
 );
 
@@ -250,8 +248,6 @@ Each profile file is a `.properties` resource on the classpath.
 | `cost1MCachedInTokens` | Double | No | Cost per 1 million cached input tokens. Defaults to `cost1MInTokens`. | `0.35`, `0` |
 | `cost1MOutTokens` | Double | Yes | Cost per 1 million output tokens. | `0.71`, `15.00`, `0` |
 | `cost1MReasoningOutTokens` | Double | No | Cost per 1 million reasoning output tokens. Defaults to `0`. | `0`, `60.00` |
-| `reasoningEffort` | String | No | Reasoning effort for reasoning-capable models. | `low`, `medium`, `high` |
-| `reasoningSummaryDetails` | String | No | How reasoning content should be summarized. | `auto`, `concise`, `detailed` |
 
 Notes:
 
@@ -260,7 +256,6 @@ Notes:
 - Cost properties are only used for statistics and accounting.
 - `cost1MCachedInTokens` defaults to the normal input token cost when not provided.
 - `cost1MReasoningOutTokens` defaults to `0` when not provided.
-- Reasoning properties only apply to models that expose separate reasoning output.
 - `tokenEncoding` is primarily relevant for tokenizer implementations that support multiple encodings, such as `jTokkit`.
 
 ### Example Profile Files
@@ -282,8 +277,6 @@ url=http://localhost:5001
 apiKey=
 cost1MInTokens=0
 cost1MOutTokens=0
-reasoningEffort=medium
-reasoningSummaryDetails=auto
 ```
 
 Local text completion:
@@ -322,6 +315,53 @@ Tool calling is currently supported only for chat completion models. `TextComple
 
 These built-in providers are OpenAI-compatible today, but that is an implementation detail of the current client set, not a hard architectural limit of the library. Additional provider integrations can be added in the library itself, and applications can plug in their own client implementations where needed.
 
+If you need to adapt request shaping for a specific OpenAI-compatible provider, you can optionally register an `OpenAiProviderDialect` bean. This allows applications to suppress or switch request fields that a provider does not support while keeping `ModelProfile` provider-agnostic and runtime-driven.
+
+The default dialect behavior is:
+
+- `sendUsage(...) = false`
+- `sendReasoning(...) = true`
+- `chatTokenLimitParameterMode(...) = ChatTokenLimitParameterMode.MAX_COMPLETION_TOKENS`
+- `reasoningEffort(...) = ReasoningEffort.MEDIUM`
+
+Notes:
+
+- `usage` is a llama-server style extension and is therefore disabled unless a dialect explicitly enables it.
+- `reasoning_effort` is sent as a top-level request field when reasoning is enabled.
+- `max_completion_tokens` is the default because it matches the current OpenAI recommendation.
+- Some older OpenAI-compatible servers still require `max_tokens`, which can be selected through the dialect.
+
+Example:
+
+```java
+@Bean
+OpenAiProviderDialect legacyOpenAiProviderDialect() {
+    return new OpenAiProviderDialect() {
+        @Override
+        public boolean sendUsage(final ModelProfile modelProfile) {
+            return true;
+        }
+
+        @Override
+        public boolean sendReasoning(final ModelProfile modelProfile) {
+            return false;
+        }
+
+        @Override
+        public ChatTokenLimitParameterMode chatTokenLimitParameterMode(final ModelProfile modelProfile) {
+            return ChatTokenLimitParameterMode.MAX_TOKENS;
+        }
+
+        @Override
+        public ReasoningEffort reasoningEffort(final ModelProfile modelProfile) {
+            return ReasoningEffort.MEDIUM;
+        }
+    };
+}
+```
+
+If no `OpenAiProviderDialect` bean is present, lm-lib follows the official-oriented defaults above, with `usage` left disabled unless you opt in.
+
 For text completions, select a prompt strategy with the `prompts` property. lm-lib ships built-in strategies for common model families including Llama, GPT-OSS, Gemma, Mistral, Phi, Qwen, Vicuna, ChatML, Alpaca, and a no-formatting strategy.
 
 Example:

pom.xml

@@ -6,7 +6,7 @@
 	<name>lm-lib</name>
 	<description>Modular Java library for LLM-powered applications, model clients, and agentic orchestration.</description>
 	<url>https://github.com/extio-de/lm-lib</url>
-	<version>2.6.0</version>
+	<version>2.8.0</version>
 
 	<licenses>
 		<license>

src/main/java/de/extio/lmlib/client/oai/OpenAiProviderDialect.java

@@ -0,0 +1,101 @@
+package de.extio.lmlib.client.oai;
+
+import com.fasterxml.jackson.annotation.JsonValue;
+
+import de.extio.lmlib.profile.ModelProfile;
+
+/**
+ * Optional dialect hook for OpenAI-compatible clients.
+ * <p>
+ * Applications can register this as a Spring bean to adapt request shaping for
+ * providers that are not fully aligned with the current OpenAI Chat
+ * Completions API surface.
+ * <p>
+ * If no bean is present, lm-lib uses the defaults defined on this interface.
+ */
+public interface OpenAiProviderDialect {
+
+	/**
+	 * Whether lm-lib should send the top-level {@code usage} request flag.
+	 * <p>
+	 * This is disabled by default because it is not part of the official OpenAI
+	 * Chat Completions request schema and is mainly useful for llama-server style
+	 * extensions.
+	 *
+	 * @param modelProfile the resolved model profile
+	 * @return {@code true} if the request should include the top-level
+	 *         {@code usage} flag
+	 */
+	default boolean sendUsage(final ModelProfile modelProfile) {
+		return false;
+	}
+
+	/**
+	 * Whether lm-lib should send a top-level {@code reasoning_effort} request
+	 * field.
+	 *
+	 * @param modelProfile the resolved model profile
+	 * @return {@code true} if {@code reasoning_effort} should be sent
+	 */
+	default boolean sendReasoning(final ModelProfile modelProfile) {
+		return true;
+	}
+
+	/**
+	 * Selects which token limit request parameter should be sent for chat
+	 * completions.
+	 * <p>
+	 * {@code max_completion_tokens} is the current OpenAI recommendation, while
+	 * older llama-server style implementations may still require
+	 * {@code max_tokens}.
+	 *
+	 * @param modelProfile the resolved model profile
+	 * @return the token limit parameter mode to use
+	 */
+	default ChatTokenLimitParameterMode chatTokenLimitParameterMode(final ModelProfile modelProfile) {
+		return ChatTokenLimitParameterMode.MAX_COMPLETION_TOKENS;
+	}
+
+	/**
+	 * Returns the reasoning effort to send for chat completions when reasoning is
+	 * enabled.
+	 *
+	 * @param modelProfile the resolved model profile
+	 * @return the reasoning effort value to send
+	 */
+	default ReasoningEffort reasoningEffort(final ModelProfile modelProfile) {
+		return ReasoningEffort.MEDIUM;
+	}
+
+	/**
+	 * Controls which chat token limit field lm-lib should send.
+	 */
+	enum ChatTokenLimitParameterMode {
+		MAX_COMPLETION_TOKENS,
+		MAX_TOKENS,
+		BOTH
+	}
+
+	/**
+	 * Official OpenAI reasoning effort values for chat completions.
+	 */
+	enum ReasoningEffort {
+		NONE("none"),
+		MINIMAL("minimal"),
+		LOW("low"),
+		MEDIUM("medium"),
+		HIGH("high"),
+		XHIGH("xhigh");
+
+		private final String wireValue;
+
+		ReasoningEffort(final String wireValue) {
+			this.wireValue = wireValue;
+		}
+
+		@JsonValue
+		public String getWireValue() {
+			return this.wireValue;
+		}
+	}
+}

src/main/java/de/extio/lmlib/client/oai/completion/AbstractCompletionClient.java

@@ -35,6 +35,7 @@ import de.extio.lmlib.client.Conversation;
 import de.extio.lmlib.client.ToolCallData;
 import de.extio.lmlib.client.oai.Model;
 import de.extio.lmlib.client.oai.ModelsResponse;
+import de.extio.lmlib.client.oai.OpenAiProviderDialect;
 import de.extio.lmlib.profile.ModelCategory;
 import de.extio.lmlib.profile.ModelProfile;
 import de.extio.lmlib.profile.ModelProfile.ModelProvider;
@@ -45,6 +46,9 @@ public abstract class AbstractCompletionClient implements Client, DisposableBean
 	
 	private static final Logger LOGGER = LoggerFactory.getLogger(AbstractCompletionClient.class);
 
+	private static final OpenAiProviderDialect DEFAULT_OPENAI_PROVIDER_DIALECT = new OpenAiProviderDialect() {
+	};
+	
 	@Autowired
 	@Qualifier("lmLibRestClientBuilder")
 	protected RestClient.Builder restClientBuilder;
@@ -55,6 +59,9 @@ public abstract class AbstractCompletionClient implements Client, DisposableBean
 	@Autowired
 	protected ModelProfileService modelProfileService;
 
+	@Autowired(required = false)
+	protected OpenAiProviderDialect openAiProviderDialect;
+	
 	@Value("${client.collectStatistics:false}")
 	protected boolean collectStatistics;
 	
@@ -137,6 +144,26 @@ public abstract class AbstractCompletionClient implements Client, DisposableBean
 	
 	protected abstract Completion requestCompletion(final Conversation conversation, final ModelProfile modelProfile, final Consumer<Chunk> chunkConsumer, final ToolCallData toolCallData);
 
+	protected OpenAiProviderDialect getOpenAiProviderDialect() {
+		return this.openAiProviderDialect == null ? DEFAULT_OPENAI_PROVIDER_DIALECT : this.openAiProviderDialect;
+	}
+
+	protected boolean sendUsage(final ModelProfile modelProfile) {
+		return this.getOpenAiProviderDialect().sendUsage(modelProfile);
+	}
+
+	protected boolean sendReasoning(final ModelProfile modelProfile) {
+		return this.getOpenAiProviderDialect().sendReasoning(modelProfile);
+	}
+
+	protected OpenAiProviderDialect.ChatTokenLimitParameterMode chatTokenLimitParameterMode(final ModelProfile modelProfile) {
+		return this.getOpenAiProviderDialect().chatTokenLimitParameterMode(modelProfile);
+	}
+
+	protected OpenAiProviderDialect.ReasoningEffort reasoningEffort(final ModelProfile modelProfile) {
+		return this.getOpenAiProviderDialect().reasoningEffort(modelProfile);
+	}
+
 	protected String getPrimaryModelName(final ModelProfile modelProfile) {
 		return this.getModelNames(modelProfile, false).stream().findFirst().orElse("");
 	}

src/main/java/de/extio/lmlib/client/oai/completion/chat/ChatCompletionClient.java

@@ -48,45 +48,7 @@ public class ChatCompletionClient extends AbstractCompletionClient {
 	@Override
 	protected Completion requestCompletion(final Conversation conversation, final ModelProfile modelProfile, final Consumer<Chunk> chunkConsumer, final ToolCallData toolCallData) {
 		final var chat = createChats(conversation, modelProfile);
-		
+		final var request = this.createRequest(chat, modelProfile, chunkConsumer != null, toolCallData);
-		final var request = new ChatCompletionRequest();
-		request.setModel(this.getPrimaryModelName(modelProfile));
-		request.setMessages(chat);
-		request.setMaxTokens(modelProfile.maxTokens());
-		request.setMaxCompletionTokens(modelProfile.maxTokens());
-		request.setTemperature(modelProfile.temperature());
-		request.setTopP(modelProfile.topP());
-		request.setStream(chunkConsumer != null);
-		if (chunkConsumer != null) {
-			this.configureStreamOptions(true, request::setStreamOptions);
-		} else {
-			request.setUsage(true);
-		}
-		if (modelProfile.reasoningEffort() != null && !modelProfile.reasoningEffort().isBlank()) {
-			request.setReasoning(new ChatCompletionRequest.ChatCompletionsRequestReasoning());
-			try {
-				request.getReasoning().setEffort(ChatCompletionRequest.ChatCompletionsRequestReasoningEffort.valueOf(modelProfile.reasoningEffort()));
-			}
-			catch (final IllegalArgumentException e) {
-				throw new IllegalArgumentException("Invalid reasoning effort in the model profile: " + modelProfile.reasoningEffort(), e);
-			}
-		}
-		if (modelProfile.reasoningSummaryDetails() != null && !modelProfile.reasoningSummaryDetails().isBlank()) {
-			if (request.getReasoning() == null) {
-				request.setReasoning(new ChatCompletionRequest.ChatCompletionsRequestReasoning());
-			}
-			try {
-				request.getReasoning().setSummary(ChatCompletionRequest.ChatCompletionsRequestReasoningSummaryDetails.valueOf(modelProfile.reasoningSummaryDetails()).name());
-			}
-			catch (final IllegalArgumentException e) {
-				throw new IllegalArgumentException("Invalid reasoning summary details in the model profile: " + modelProfile.reasoningSummaryDetails(), e);
-			}
-		}
-		if (toolCallData != null && toolCallData.hasTools()) {
-			request.setTools(this.createTools(toolCallData.tools()));
-			request.setToolChoice(this.createToolChoice(toolCallData));
-			request.setParallelToolCalls(toolCallData.parallelToolCalls());
-		}
 		
 		String requestBody;
 		try {
@@ -203,6 +165,53 @@ public class ChatCompletionClient extends AbstractCompletionClient {
 		return new Completion(content, reasoning, finishReason, statistics, toolCalls);
 	}
 
+	ChatCompletionRequest createRequest(final List<ChatMessage> chat, final ModelProfile modelProfile, final boolean streaming, final ToolCallData toolCallData) {
+		final var request = new ChatCompletionRequest();
+		request.setModel(this.getPrimaryModelName(modelProfile));
+		request.setMessages(chat);
+		this.applyChatTokenLimitParameterMode(request, modelProfile);
+		request.setTemperature(modelProfile.temperature());
+		request.setTopP(modelProfile.topP());
+		request.setStream(streaming);
+		if (streaming) {
+			this.configureStreamOptions(true, request::setStreamOptions);
+		}
+		else if (this.sendUsage(modelProfile)) {
+			request.setUsage(true);
+		}
+		final var reasoningEffort = this.reasoningEffort(modelProfile);
+		if (this.sendReasoning(modelProfile) && reasoningEffort != null) {
+			request.setReasoningEffort(reasoningEffort);
+		}
+		if (toolCallData != null && toolCallData.hasTools()) {
+			request.setTools(this.createTools(toolCallData.tools()));
+			request.setToolChoice(this.createToolChoice(toolCallData));
+			request.setParallelToolCalls(toolCallData.parallelToolCalls());
+		}
+		return request;
+	}
+
+	private void applyChatTokenLimitParameterMode(final ChatCompletionRequest request, final ModelProfile modelProfile) {
+		final var mode = this.chatTokenLimitParameterMode(modelProfile);
+		if (mode == null) {
+			throw new IllegalArgumentException("Chat token limit parameter mode must not be null");
+		}
+		switch (mode) {
+			case MAX_COMPLETION_TOKENS:
+				request.setMaxCompletionTokens(modelProfile.maxTokens());
+				break;
+			case MAX_TOKENS:
+				request.setMaxTokens(modelProfile.maxTokens());
+				break;
+			case BOTH:
+				request.setMaxCompletionTokens(modelProfile.maxTokens());
+				request.setMaxTokens(modelProfile.maxTokens());
+				break;
+			default:
+				throw new IllegalArgumentException("Unsupported chat token limit parameter mode: " + mode);
+		}
+	}
+
 	private List<ChatCompletionRequest.ChatCompletionTool> createTools(final List<ToolDefinition> toolDefinitions) {
 		return toolDefinitions.stream().map(toolDefinition -> {
 			final var function = new ChatCompletionRequest.ChatCompletionFunction();

src/main/java/de/extio/lmlib/client/oai/completion/chat/ChatCompletionRequest.java

@@ -5,6 +5,7 @@ import java.util.Map;
 
 import com.fasterxml.jackson.annotation.*;
 
+import de.extio.lmlib.client.oai.OpenAiProviderDialect.ReasoningEffort;
 import de.extio.lmlib.client.oai.completion.AbstractCompletionRequest;
 
 final class ChatCompletionRequest extends AbstractCompletionRequest {
@@ -13,7 +14,7 @@ final class ChatCompletionRequest extends AbstractCompletionRequest {
 	
 	private Integer maxCompletionTokens;
 
-	private ChatCompletionsRequestReasoning reasoning;
+	private ReasoningEffort reasoningEffort;
 
 	private List<ChatCompletionTool> tools;
 
@@ -39,13 +40,13 @@ final class ChatCompletionRequest extends AbstractCompletionRequest {
 		this.maxCompletionTokens = maxCompletionTokens;
 	}
 	
-	@JsonProperty("reasoning")
+	@JsonProperty("reasoning_effort")
-	public ChatCompletionsRequestReasoning getReasoning() {
+	public ReasoningEffort getReasoningEffort() {
-		return this.reasoning;
+		return this.reasoningEffort;
 	}
 
-	public void setReasoning(final ChatCompletionsRequestReasoning reasoning) {
+	public void setReasoningEffort(final ReasoningEffort reasoningEffort) {
-		this.reasoning = reasoning;
+		this.reasoningEffort = reasoningEffort;
 	}
 
 	@JsonProperty("tools")
@@ -75,40 +76,6 @@ final class ChatCompletionRequest extends AbstractCompletionRequest {
 		this.parallelToolCalls = parallelToolCalls;
 	}
 
-	final static class ChatCompletionsRequestReasoning {
-
-		private ChatCompletionsRequestReasoningEffort effort;
-
-		private String summary;
-
-		@JsonProperty("effort")
-		public ChatCompletionsRequestReasoningEffort getEffort() {
-			return this.effort;
-		}
-
-		public void setEffort(final ChatCompletionsRequestReasoningEffort effort) {
-			this.effort = effort;
-		}
-
-		@JsonProperty("summary")
-		public String getSummary() {
-			return this.summary;
-		}
-
-		public void setSummary(final String summary) {
-			this.summary = summary;
-		}
-
-	}
-
-	static enum ChatCompletionsRequestReasoningEffort {
-		minimal, low, medium, high
-	}
-
-	static enum ChatCompletionsRequestReasoningSummaryDetails {
-		auto, concise, detailed
-	}
-
 	static final class ChatCompletionTool {
 
 		private String type;

src/main/java/de/extio/lmlib/client/oai/completion/text/TextCompletionClient.java

@@ -53,19 +53,7 @@ public class TextCompletionClient extends AbstractCompletionClient {
 		}
 		
 		final var prompt = this.createPrompt(conversation, modelProfile, promptStrategy);
-		
+		final var request = this.createRequest(prompt, modelProfile, chunkConsumer != null);
-		final var request = new CompletionRequest();
-		request.setModel(this.getPrimaryModelName(modelProfile));
-		request.setPrompt(prompt);
-		request.setMaxTokens(modelProfile.maxTokens());
-		request.setTemperature(modelProfile.temperature());
-		request.setTopP(modelProfile.topP());
-		request.setStream(chunkConsumer != null);
-		if (chunkConsumer != null) {
-			this.configureStreamOptions(true, request::setStreamOptions);
-		} else {
-			request.setUsage(true);
-		}
 		
 		String requestBody;
 		try {
@@ -197,6 +185,23 @@ public class TextCompletionClient extends AbstractCompletionClient {
 		return new Completion(content, reasoning, finishReason, statistics);
 	}
 
+	CompletionRequest createRequest(final String prompt, final ModelProfile modelProfile, final boolean streaming) {
+		final var request = new CompletionRequest();
+		request.setModel(this.getPrimaryModelName(modelProfile));
+		request.setPrompt(prompt);
+		request.setMaxTokens(modelProfile.maxTokens());
+		request.setTemperature(modelProfile.temperature());
+		request.setTopP(modelProfile.topP());
+		request.setStream(streaming);
+		if (streaming) {
+			this.configureStreamOptions(true, request::setStreamOptions);
+		}
+		else if (this.sendUsage(modelProfile)) {
+			request.setUsage(true);
+		}
+		return request;
+	}
+	
 	private String createPrompt(final Conversation conversation, final ModelProfile modelProfile, final PromptStrategy promptStrategy) {
 		StringBuilder prompt = this.formatConversation(conversation, promptStrategy);
 		

src/main/java/de/extio/lmlib/profile/ModelProfile.java

@@ -18,8 +18,6 @@ public record ModelProfile(
 		BigDecimal costPerCachedInToken,
 		BigDecimal costPerOutToken,
 		BigDecimal costPerReasoningOutToken,
-		String reasoningEffort,
-		String reasoningSummaryDetails,
 		String category) {
 	
 	public ModelProfile {

src/main/java/de/extio/lmlib/profile/ModelProfileService.java

@@ -90,12 +90,6 @@ public class ModelProfileService {
 					.map(Object::toString)
 					.map(value -> new BigDecimal(value).divide(new BigDecimal(1000000.0)))
 					.orElse(BigDecimal.ZERO);
-			final var reasoningEffort = Optional.ofNullable(resource.getProperty("reasoningEffort"))
-					.map(Object::toString)
-					.orElse(null);
-			final var reasoningSummaryDetails = Optional.ofNullable(resource.getProperty("reasoningSummaryDetails"))
-					.map(Object::toString)
-					.orElse(null);
 			final var category = Optional
 					.ofNullable(modelCategory)
 					.map(ModelCategory::getShortName)
@@ -112,7 +106,7 @@ public class ModelProfileService {
 						.orElse(null);
 			}
 			
-			return new ModelProfile(promptTemplate, tokenizer, tokenEncoding, maxTokens, maxContextLength, temperature, topP, modelProvider, modelNameCfg, url, apiKey, costPerInToken, costPerCachedInToken, costPerOutToken, costPerReasoningOutToken, reasoningEffort, reasoningSummaryDetails, category);
+			return new ModelProfile(promptTemplate, tokenizer, tokenEncoding, maxTokens, maxContextLength, temperature, topP, modelProvider, modelNameCfg, url, apiKey, costPerInToken, costPerCachedInToken, costPerOutToken, costPerReasoningOutToken, category);
 		}
 		catch (final IOException e) {
 			LOGGER.error("Error while reading model profile", e);

src/test/java/de/extio/lmlib/client/oai/completion/chat/ChatCompletionClientRequestTest.java

@@ -0,0 +1,133 @@
+package de.extio.lmlib.client.oai.completion.chat;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertNull;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import java.math.BigDecimal;
+import java.util.List;
+
+import org.junit.jupiter.api.Test;
+
+import de.extio.lmlib.client.oai.OpenAiProviderDialect;
+import de.extio.lmlib.profile.ModelProfile;
+import de.extio.lmlib.profile.ModelProfile.ModelProvider;
+
+class ChatCompletionClientRequestTest {
+
+	@Test
+	void defaultsToOfficialRequestFieldsWhenNoDialectIsConfigured() {
+		final var client = new TestChatCompletionClient();
+		final var request = client.createRequest(
+				List.of(new ChatMessage("user", "hello", null)),
+				this.createProfile(),
+				false,
+				null);
+
+		assertNull(request.getUsage());
+		assertEquals(OpenAiProviderDialect.ReasoningEffort.MEDIUM, request.getReasoningEffort());
+		assertEquals(2048, request.getMaxCompletionTokens());
+		assertNull(request.getMaxTokens());
+	}
+
+	@Test
+	void omitsDialectDisabledReasoningAndUsesLegacyMaxTokens() {
+		final var client = new TestChatCompletionClient();
+		client.setDialect(new OpenAiProviderDialect() {
+			@Override
+			public boolean sendReasoning(final ModelProfile modelProfile) {
+				return false;
+			}
+
+			@Override
+			public ChatTokenLimitParameterMode chatTokenLimitParameterMode(final ModelProfile modelProfile) {
+				return ChatTokenLimitParameterMode.MAX_TOKENS;
+			}
+		});
+
+		final var request = client.createRequest(
+				List.of(new ChatMessage("user", "hello", null)),
+				this.createProfile(),
+				false,
+				null);
+
+		assertNull(request.getUsage());
+		assertNull(request.getReasoningEffort());
+		assertNull(request.getMaxCompletionTokens());
+		assertEquals(2048, request.getMaxTokens());
+		assertFalse(request.isStream());
+	}
+
+	@Test
+	void usesDialectProvidedReasoningEffort() {
+		final var client = new TestChatCompletionClient();
+		client.setDialect(new OpenAiProviderDialect() {
+			@Override
+			public ReasoningEffort reasoningEffort(final ModelProfile modelProfile) {
+				return ReasoningEffort.HIGH;
+			}
+		});
+
+		final var request = client.createRequest(
+				List.of(new ChatMessage("user", "hello", null)),
+				this.createProfile(),
+				false,
+				null);
+
+		assertEquals(OpenAiProviderDialect.ReasoningEffort.HIGH, request.getReasoningEffort());
+	}
+
+	@Test
+	void canEnableUsageAndSendBothTokenLimitFields() {
+		final var client = new TestChatCompletionClient();
+		client.setDialect(new OpenAiProviderDialect() {
+			@Override
+			public boolean sendUsage(final ModelProfile modelProfile) {
+				return true;
+			}
+
+			@Override
+			public ChatTokenLimitParameterMode chatTokenLimitParameterMode(final ModelProfile modelProfile) {
+				return ChatTokenLimitParameterMode.BOTH;
+			}
+		});
+
+		final var request = client.createRequest(
+				List.of(new ChatMessage("user", "hello", null)),
+				this.createProfile(),
+				false,
+				null);
+
+		assertTrue(request.getUsage());
+		assertEquals(2048, request.getMaxCompletionTokens());
+		assertEquals(2048, request.getMaxTokens());
+	}
+
+	private ModelProfile createProfile() {
+		return new ModelProfile(
+				"",
+				"fallback",
+				"cl100k_base",
+				2048,
+				8192,
+				0.4,
+				1.0,
+				ModelProvider.OAI_CHAT_COMPLETION,
+				"test-model",
+				"http://localhost:5001",
+				"",
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				"TEST");
+	}
+
+	private static final class TestChatCompletionClient extends ChatCompletionClient {
+
+		private void setDialect(final OpenAiProviderDialect openAiProviderDialect) {
+			this.openAiProviderDialect = openAiProviderDialect;
+		}
+	}
+}

src/test/java/de/extio/lmlib/client/oai/completion/text/TextCompletionClientRequestTest.java

@@ -0,0 +1,65 @@
+package de.extio.lmlib.client.oai.completion.text;
+
+import static org.junit.jupiter.api.Assertions.assertNull;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import java.math.BigDecimal;
+
+import org.junit.jupiter.api.Test;
+
+import de.extio.lmlib.client.oai.OpenAiProviderDialect;
+import de.extio.lmlib.profile.ModelProfile;
+import de.extio.lmlib.profile.ModelProfile.ModelProvider;
+
+class TextCompletionClientRequestTest {
+
+	@Test
+	void omitsUsageWhenNoDialectIsConfigured() {
+		final var client = new TestTextCompletionClient();
+		final var request = client.createRequest("prompt", this.createProfile(), false);
+
+		assertNull(request.getUsage());
+	}
+
+	@Test
+	void includesUsageWhenDialectEnablesIt() {
+		final var client = new TestTextCompletionClient();
+		client.setDialect(new OpenAiProviderDialect() {
+			@Override
+			public boolean sendUsage(final ModelProfile modelProfile) {
+				return true;
+			}
+		});
+
+		final var request = client.createRequest("prompt", this.createProfile(), false);
+
+		assertTrue(request.getUsage());
+	}
+
+	private ModelProfile createProfile() {
+		return new ModelProfile(
+				"gpt-oss",
+				"fallback",
+				"cl100k_base",
+				2048,
+				8192,
+				0.4,
+				1.0,
+				ModelProvider.OAI_TEXT_COMPLETION,
+				"test-model",
+				"http://localhost:5001",
+				"",
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				BigDecimal.ZERO,
+				"TEST");
+	}
+
+	private static final class TestTextCompletionClient extends TextCompletionClient {
+
+		private void setDialect(final OpenAiProviderDialect openAiProviderDialect) {
+			this.openAiProviderDialect = openAiProviderDialect;
+		}
+	}
+}

src/test/java/de/extio/lmlib/token/TokenizerResolverTest.java

@@ -55,8 +55,6 @@ public class TokenizerResolverTest {
 				BigDecimal.ZERO,
 				BigDecimal.ZERO,
 				BigDecimal.ZERO,
-				null,
-				null,
 				"TEST");
 	}
 	

src/test/resources/local-chatcompletion.properties

@@ -14,5 +14,3 @@ cost1MInTokens=0
 cost1MCachedInTokens=0
 cost1MOutTokens=0
 cost1MReasoningOutTokens=0
-reasoningEffort=medium
-reasoningSummaryDetails=auto