SDK regeneration (#61)

Co-authored-by: fern-api <115122769+fern-api[bot]@users.noreply.github.com>

Author: fern-api[bot]

build.gradle

@@ -46,7 +46,7 @@ java {
 
 group = 'com.cohere'
 
-version = '1.8.1'
+version = '1.8.0'
 
 jar {
     dependsOn(":generatePomFileForMavenPublication")
@@ -77,7 +77,7 @@ publishing {
         maven(MavenPublication) {
             groupId = 'com.cohere'
             artifactId = 'cohere-java'
-            version = '1.8.1'
+            version = '1.8.0'
             from components.java
             pom {
                 name = 'cohere'

reference.md

@@ -57,19 +57,6 @@ client.chatStream(
 <dl>
 <dd>
 
-**rawPrompting:** `Optional<Boolean>` 
-
-When enabled, the user's prompt will be sent to the model without
-any pre-processing.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **message:** `String` 
 
 Text input for the model to respond to.
@@ -371,6 +358,19 @@ Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private D
 <dl>
 <dd>
 
+**rawPrompting:** `Optional<Boolean>` 
+
+When enabled, the user's prompt will be sent to the model without
+any pre-processing.
+
+Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **tools:** `Optional<List<Tool>>` 
 
 A list of available tools (functions) that the model may suggest invoking before producing a text response.
@@ -541,19 +541,6 @@ client.chatStream(
 <dl>
 <dd>
 
-**rawPrompting:** `Optional<Boolean>` 
-
-When enabled, the user's prompt will be sent to the model without
-any pre-processing.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **message:** `String` 
 
 Text input for the model to respond to.
@@ -855,6 +842,19 @@ Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private D
 <dl>
 <dd>
 
+**rawPrompting:** `Optional<Boolean>` 
+
+When enabled, the user's prompt will be sent to the model without
+any pre-processing.
+
+Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **tools:** `Optional<List<Tool>>` 
 
 A list of available tools (functions) that the model may suggest invoking before producing a text response.
@@ -2291,19 +2291,6 @@ When set to `true`, tool calls in the Assistant message will be forced to follow
 <dl>
 <dd>
 
-**rawPrompting:** `Optional<Boolean>` 
-
-When enabled, the user's prompt will be sent to the model without
-any pre-processing.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **responseFormat:** `Optional<ResponseFormatV2>` 
 
 </dd>
@@ -2331,9 +2318,11 @@ Safety modes are not yet configurable in combination with `tools` and `documents
 
 **maxTokens:** `Optional<Integer>` 
 
-The maximum number of tokens the model will generate as part of the response.
+The maximum number of output tokens the model will generate in the response. If not set, `max_tokens` defaults to the model's maximum output token limit. You can find the maximum output token limits for each model in the [model documentation](https://docs.cohere.com/docs/models).
+
+**Note**: Setting a low value may result in incomplete generations. In such cases, the `finish_reason` field in the response will be set to `"MAX_TOKENS"`.
 
-**Note**: Setting a low value may result in incomplete generations.
+**Note**: If `max_tokens` is set higher than the model's maximum output token limit, the generation will be capped at that model-specific maximum limit.
 
 </dd>
 </dl>
@@ -2435,8 +2424,14 @@ When `NONE` is specified, the model will be forced **not** to use one of the spe
 If tool_choice isn't specified, then the model is free to choose whether to use the specified tools or not.
 
 **Note**: This parameter is only compatible with models [Command-r7b](https://docs.cohere.com/v2/docs/command-r7b) and newer.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
 
-**Note**: The same functionality can be achieved in `/v1/chat` using the `force_single_step` parameter. If `force_single_step=true`, this is equivalent to specifying `REQUIRED`. While if `force_single_step=true` and `tool_results` are passed, this is equivalent to specifying `NONE`.
+**thinking:** `Optional<Thinking>` 
 
 </dd>
 </dl>
@@ -2582,19 +2577,6 @@ When set to `true`, tool calls in the Assistant message will be forced to follow
 <dl>
 <dd>
 
-**rawPrompting:** `Optional<Boolean>` 
-
-When enabled, the user's prompt will be sent to the model without
-any pre-processing.
-
-Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **responseFormat:** `Optional<ResponseFormatV2>` 
 
 </dd>
@@ -2622,9 +2604,11 @@ Safety modes are not yet configurable in combination with `tools` and `documents
 
 **maxTokens:** `Optional<Integer>` 
 
-The maximum number of tokens the model will generate as part of the response.
+The maximum number of output tokens the model will generate in the response. If not set, `max_tokens` defaults to the model's maximum output token limit. You can find the maximum output token limits for each model in the [model documentation](https://docs.cohere.com/docs/models).
+
+**Note**: Setting a low value may result in incomplete generations. In such cases, the `finish_reason` field in the response will be set to `"MAX_TOKENS"`.
 
-**Note**: Setting a low value may result in incomplete generations.
+**Note**: If `max_tokens` is set higher than the model's maximum output token limit, the generation will be capped at that model-specific maximum limit.
 
 </dd>
 </dl>
@@ -2726,8 +2710,14 @@ When `NONE` is specified, the model will be forced **not** to use one of the spe
 If tool_choice isn't specified, then the model is free to choose whether to use the specified tools or not.
 
 **Note**: This parameter is only compatible with models [Command-r7b](https://docs.cohere.com/v2/docs/command-r7b) and newer.
+    
+</dd>
+</dl>
 
-**Note**: The same functionality can be achieved in `/v1/chat` using the `force_single_step` parameter. If `force_single_step=true`, this is equivalent to specifying `REQUIRED`. While if `force_single_step=true` and `tool_results` are passed, this is equivalent to specifying `NONE`.
+<dl>
+<dd>
+
+**thinking:** `Optional<Thinking>` 
 
 </dd>
 </dl>
@@ -2875,6 +2865,7 @@ Specifies the types of embeddings you want to get back. Can be one or more of th
 * `"uint8"`: Use this when you want to get back unsigned int8 embeddings. Supported with Embed v3.0 and newer Embed models.
 * `"binary"`: Use this when you want to get back signed binary embeddings. Supported with Embed v3.0 and newer Embed models.
 * `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Supported with Embed v3.0 and newer Embed models.
+* `"base64"`: Use this when you want to get back base64 embeddings. Supported with Embed v3.0 and newer Embed models.
 
 </dd>
 </dl>
@@ -4365,17 +4356,17 @@ Creates a new fine-tuned model. The model will be trained on the dataset specifi
 client.finetuning().createFinetunedModel(
     FinetunedModel
         .builder()
-        .name("api-test")
+        .name("name")
         .settings(
             Settings
                 .builder()
                 .baseModel(
                     BaseModel
                         .builder()
-                        .baseType(BaseType.BASE_TYPE_CHAT)
+                        .baseType(BaseType.BASE_TYPE_UNSPECIFIED)
                         .build()
                 )
-                .datasetId("my-dataset-id")
+                .datasetId("dataset_id")
                 .build()
         )
         .build()

src/main/java/com/cohere/api/AsyncRawCohere.java

@@ -87,9 +87,6 @@ public CompletableFuture<CohereHttpResponse<Iterable<StreamedChatResponse>>> cha
                 .addPathSegments("v1/chat")
                 .build();
         Map<String, Object> properties = new HashMap<>();
-        if (request.getRawPrompting().isPresent()) {
-            properties.put("raw_prompting", request.getRawPrompting());
-        }
         properties.put("message", request.getMessage());
         if (request.getModel().isPresent()) {
             properties.put("model", request.getModel());
@@ -146,6 +143,9 @@ public CompletableFuture<CohereHttpResponse<Iterable<StreamedChatResponse>>> cha
         if (request.getPresencePenalty().isPresent()) {
             properties.put("presence_penalty", request.getPresencePenalty());
         }
+        if (request.getRawPrompting().isPresent()) {
+            properties.put("raw_prompting", request.getRawPrompting());
+        }
         if (request.getTools().isPresent()) {
             properties.put("tools", request.getTools());
         }
@@ -299,9 +299,6 @@ public CompletableFuture<CohereHttpResponse<NonStreamedChatResponse>> chat(
                 .addPathSegments("v1/chat")
                 .build();
         Map<String, Object> properties = new HashMap<>();
-        if (request.getRawPrompting().isPresent()) {
-            properties.put("raw_prompting", request.getRawPrompting());
-        }
         properties.put("message", request.getMessage());
         if (request.getModel().isPresent()) {
             properties.put("model", request.getModel());
@@ -358,6 +355,9 @@ public CompletableFuture<CohereHttpResponse<NonStreamedChatResponse>> chat(
         if (request.getPresencePenalty().isPresent()) {
             properties.put("presence_penalty", request.getPresencePenalty());
         }
+        if (request.getRawPrompting().isPresent()) {
+            properties.put("raw_prompting", request.getRawPrompting());
+        }
         if (request.getTools().isPresent()) {
             properties.put("tools", request.getTools());
         }

src/main/java/com/cohere/api/RawCohere.java

@@ -83,9 +83,6 @@ public CohereHttpResponse<Iterable<StreamedChatResponse>> chatStream(
                 .addPathSegments("v1/chat")
                 .build();
         Map<String, Object> properties = new HashMap<>();
-        if (request.getRawPrompting().isPresent()) {
-            properties.put("raw_prompting", request.getRawPrompting());
-        }
         properties.put("message", request.getMessage());
         if (request.getModel().isPresent()) {
             properties.put("model", request.getModel());
@@ -142,6 +139,9 @@ public CohereHttpResponse<Iterable<StreamedChatResponse>> chatStream(
         if (request.getPresencePenalty().isPresent()) {
             properties.put("presence_penalty", request.getPresencePenalty());
         }
+        if (request.getRawPrompting().isPresent()) {
+            properties.put("raw_prompting", request.getRawPrompting());
+        }
         if (request.getTools().isPresent()) {
             properties.put("tools", request.getTools());
         }
@@ -256,9 +256,6 @@ public CohereHttpResponse<NonStreamedChatResponse> chat(ChatRequest request, Req
                 .addPathSegments("v1/chat")
                 .build();
         Map<String, Object> properties = new HashMap<>();
-        if (request.getRawPrompting().isPresent()) {
-            properties.put("raw_prompting", request.getRawPrompting());
-        }
         properties.put("message", request.getMessage());
         if (request.getModel().isPresent()) {
             properties.put("model", request.getModel());
@@ -315,6 +312,9 @@ public CohereHttpResponse<NonStreamedChatResponse> chat(ChatRequest request, Req
         if (request.getPresencePenalty().isPresent()) {
             properties.put("presence_penalty", request.getPresencePenalty());
         }
+        if (request.getRawPrompting().isPresent()) {
+            properties.put("raw_prompting", request.getRawPrompting());
+        }
         if (request.getTools().isPresent()) {
             properties.put("tools", request.getTools());
         }

src/main/java/com/cohere/api/core/ClientOptions.java

@@ -32,10 +32,10 @@ private ClientOptions(
         this.headers.putAll(headers);
         this.headers.putAll(new HashMap<String, String>() {
             {
-                put("User-Agent", "com.cohere:cohere-java/1.8.1");
+                put("User-Agent", "com.cohere:cohere-java/1.8.0");
                 put("X-Fern-Language", "JAVA");
                 put("X-Fern-SDK-Name", "com.cohere.fern:api-sdk");
-                put("X-Fern-SDK-Version", "1.8.1");
+                put("X-Fern-SDK-Version", "1.8.0");
             }
         });
         this.headerSuppliers = headerSuppliers;