🌿 Fern Regeneration -- August 7, 2025

build.gradle

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

reference.md

@@ -57,6 +57,19 @@ 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.
@@ -528,6 +541,19 @@ 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.
@@ -2265,6 +2291,19 @@ 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>
@@ -2543,6 +2582,19 @@ 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>

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

@@ -87,6 +87,9 @@ 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());
@@ -296,6 +299,9 @@ 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());

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

@@ -83,6 +83,9 @@ 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());
@@ -253,6 +256,9 @@ 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());

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/1.8.0");
+                put("User-Agent", "com.cohere:cohere-java/1.8.1");
                 put("X-Fern-Language", "JAVA");
                 put("X-Fern-SDK-Name", "com.cohere.fern:api-sdk");
-                put("X-Fern-SDK-Version", "1.8.0");
+                put("X-Fern-SDK-Version", "1.8.1");
             }
         });
         this.headerSuppliers = headerSuppliers;

src/main/java/com/cohere/api/requests/ChatRequest.java

@@ -32,6 +32,8 @@
 public final class ChatRequest {
     private final Optional<String> accepts;
 
+    private final Optional<Boolean> rawPrompting;
+
     private final String message;
 
     private final Optional<String> model;
@@ -84,6 +86,7 @@ public final class ChatRequest {
 
     private ChatRequest(
             Optional<String> accepts,
+            Optional<Boolean> rawPrompting,
             String message,
             Optional<String> model,
             Optional<String> preamble,
@@ -110,6 +113,7 @@ private ChatRequest(
             Optional<ChatRequestSafetyMode> safetyMode,
             Map<String, Object> additionalProperties) {
         this.accepts = accepts;
+        this.rawPrompting = rawPrompting;
         this.message = message;
         this.model = model;
         this.preamble = preamble;
@@ -145,6 +149,16 @@ public Optional<String> getAccepts() {
         return accepts;
     }
 
+    /**
+     * @return When enabled, the user's prompt will be sent to the model without
+     * any pre-processing.
+     * <p>Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments</p>
+     */
+    @JsonProperty("raw_prompting")
+    public Optional<Boolean> getRawPrompting() {
+        return rawPrompting;
+    }
+
     /**
      * @return Text input for the model to respond to.
      * <p>Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments</p>
@@ -439,6 +453,7 @@ public Map<String, Object> getAdditionalProperties() {
 
     private boolean equalTo(ChatRequest other) {
         return accepts.equals(other.accepts)
+                && rawPrompting.equals(other.rawPrompting)
                 && message.equals(other.message)
                 && model.equals(other.model)
                 && preamble.equals(other.preamble)
@@ -469,6 +484,7 @@ private boolean equalTo(ChatRequest other) {
     public int hashCode() {
         return Objects.hash(
                 this.accepts,
+                this.rawPrompting,
                 this.message,
                 this.model,
                 this.preamble,
@@ -524,6 +540,15 @@ public interface _FinalStage {
 
         _FinalStage accepts(String accepts);
 
+        /**
+         * <p>When enabled, the user's prompt will be sent to the model without
+         * any pre-processing.</p>
+         * <p>Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments</p>
+         */
+        _FinalStage rawPrompting(Optional<Boolean> rawPrompting);
+
+        _FinalStage rawPrompting(Boolean rawPrompting);
+
         /**
          * <p>The name of a compatible <a href="https://docs.cohere.com/docs/models">Cohere model</a> or the ID of a <a href="https://docs.cohere.com/docs/chat-fine-tuning">fine-tuned</a> model.</p>
          * <p>Compatible Deployments: Cohere Platform, Private Deployments</p>
@@ -813,6 +838,8 @@ public static final class Builder implements MessageStage, _FinalStage {
 
         private Optional<String> model = Optional.empty();
 
+        private Optional<Boolean> rawPrompting = Optional.empty();
+
         private Optional<String> accepts = Optional.empty();
 
         @JsonAnySetter
@@ -823,6 +850,7 @@ private Builder() {}
         @java.lang.Override
         public Builder from(ChatRequest other) {
             accepts(other.getAccepts());
+            rawPrompting(other.getRawPrompting());
             message(other.getMessage());
             model(other.getModel());
             preamble(other.getPreamble());
@@ -1477,6 +1505,30 @@ public _FinalStage model(Optional<String> model) {
             return this;
         }
 
+        /**
+         * <p>When enabled, the user's prompt will be sent to the model without
+         * any pre-processing.</p>
+         * <p>Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments</p>
+         * @return Reference to {@code this} so that method calls can be chained together.
+         */
+        @java.lang.Override
+        public _FinalStage rawPrompting(Boolean rawPrompting) {
+            this.rawPrompting = Optional.ofNullable(rawPrompting);
+            return this;
+        }
+
+        /**
+         * <p>When enabled, the user's prompt will be sent to the model without
+         * any pre-processing.</p>
+         * <p>Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments</p>
+         */
+        @java.lang.Override
+        @JsonSetter(value = "raw_prompting", nulls = Nulls.SKIP)
+        public _FinalStage rawPrompting(Optional<Boolean> rawPrompting) {
+            this.rawPrompting = rawPrompting;
+            return this;
+        }
+
         /**
          * <p>Pass text/event-stream to receive the streamed response as server-sent events. The default is <code>\n</code> delimited events.</p>
          * @return Reference to {@code this} so that method calls can be chained together.
@@ -1501,6 +1553,7 @@ public _FinalStage accepts(Optional<String> accepts) {
         public ChatRequest build() {
             return new ChatRequest(
                     accepts,
+                    rawPrompting,
                     message,
                     model,
                     preamble,