🌿 Fern Regeneration -- August 8, 2025

src/api/client/requests/ChatRequest.ts

@@ -240,6 +240,13 @@ export interface ChatRequest {
      * Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
      */
     presencePenalty?: number;
+    /**
+     * 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
+     */
+    rawPrompting?: boolean;
     /**
      * A list of available tools (functions) that the model may suggest invoking before producing a text response.
      *

src/api/client/requests/ChatStreamRequest.ts

@@ -186,6 +186,13 @@ export interface ChatStreamRequest {
      * Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
      */
     presencePenalty?: number;
+    /**
+     * 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
+     */
+    rawPrompting?: boolean;
     /**
      * A list of available tools (functions) that the model may suggest invoking before producing a text response.
      *

src/api/resources/v2/client/requests/V2ChatRequest.ts

@@ -127,9 +127,11 @@ export interface V2ChatRequest {
      */
     safetyMode?: Cohere.V2ChatRequestSafetyMode;
     /**
-     * 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.
+     * **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**: 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.
      */
     maxTokens?: number;
     /** A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence. */
@@ -182,4 +184,11 @@ export interface V2ChatRequest {
      */
     toolChoice?: Cohere.V2ChatRequestToolChoice;
     thinking?: Cohere.Thinking;
+    /**
+     * 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
+     */
+    rawPrompting?: boolean;
 }

src/api/resources/v2/client/requests/V2ChatStreamRequest.ts

@@ -114,9 +114,11 @@ export interface V2ChatStreamRequest {
      */
     safetyMode?: Cohere.V2ChatStreamRequestSafetyMode;
     /**
-     * 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.
+     * **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**: 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.
      */
     maxTokens?: number;
     /** A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence. */
@@ -169,4 +171,11 @@ export interface V2ChatStreamRequest {
      */
     toolChoice?: Cohere.V2ChatStreamRequestToolChoice;
     thinking?: Cohere.Thinking;
+    /**
+     * 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
+     */
+    rawPrompting?: boolean;
 }

src/api/types/ChatMessageEndEventDelta.ts

@@ -2,7 +2,11 @@
  * This file was auto-generated by Fern from our API Definition.
  */
 
+import * as Cohere from "../index";
+
 export interface ChatMessageEndEventDelta {
     /** An error message if an error occurred during the generation. */
     error?: string;
+    finishReason?: Cohere.ChatFinishReason;
+    usage?: Cohere.Usage;
 }

src/serialization/client/requests/ChatRequest.ts

@@ -41,6 +41,7 @@ export const ChatRequest: core.serialization.Schema<
     ),
     frequencyPenalty: core.serialization.property("frequency_penalty", core.serialization.number().optional()),
     presencePenalty: core.serialization.property("presence_penalty", core.serialization.number().optional()),
+    rawPrompting: core.serialization.property("raw_prompting", core.serialization.boolean().optional()),
     tools: core.serialization.list(Tool).optional(),
     toolResults: core.serialization.property("tool_results", core.serialization.list(ToolResult).optional()),
     forceSingleStep: core.serialization.property("force_single_step", core.serialization.boolean().optional()),
@@ -69,6 +70,7 @@ export declare namespace ChatRequest {
         stop_sequences?: string[] | null;
         frequency_penalty?: number | null;
         presence_penalty?: number | null;
+        raw_prompting?: boolean | null;
         tools?: Tool.Raw[] | null;
         tool_results?: ToolResult.Raw[] | null;
         force_single_step?: boolean | null;

src/serialization/client/requests/ChatStreamRequest.ts

@@ -41,6 +41,7 @@ export const ChatStreamRequest: core.serialization.Schema<
     ),
     frequencyPenalty: core.serialization.property("frequency_penalty", core.serialization.number().optional()),
     presencePenalty: core.serialization.property("presence_penalty", core.serialization.number().optional()),
+    rawPrompting: core.serialization.property("raw_prompting", core.serialization.boolean().optional()),
     tools: core.serialization.list(Tool).optional(),
     toolResults: core.serialization.property("tool_results", core.serialization.list(ToolResult).optional()),
     forceSingleStep: core.serialization.property("force_single_step", core.serialization.boolean().optional()),
@@ -69,6 +70,7 @@ export declare namespace ChatStreamRequest {
         stop_sequences?: string[] | null;
         frequency_penalty?: number | null;
         presence_penalty?: number | null;
+        raw_prompting?: boolean | null;
         tools?: Tool.Raw[] | null;
         tool_results?: ToolResult.Raw[] | null;
         force_single_step?: boolean | null;

src/serialization/resources/v2/client/requests/V2ChatRequest.ts

@@ -39,6 +39,7 @@ export const V2ChatRequest: core.serialization.Schema<serializers.V2ChatRequest.
         logprobs: core.serialization.boolean().optional(),
         toolChoice: core.serialization.property("tool_choice", V2ChatRequestToolChoice.optional()),
         thinking: Thinking.optional(),
+        rawPrompting: core.serialization.property("raw_prompting", core.serialization.boolean().optional()),
     });
 
 export declare namespace V2ChatRequest {
@@ -62,5 +63,6 @@ export declare namespace V2ChatRequest {
         logprobs?: boolean | null;
         tool_choice?: V2ChatRequestToolChoice.Raw | null;
         thinking?: Thinking.Raw | null;
+        raw_prompting?: boolean | null;
     }
 }

src/serialization/resources/v2/client/requests/V2ChatStreamRequest.ts

@@ -41,6 +41,7 @@ export const V2ChatStreamRequest: core.serialization.Schema<
     logprobs: core.serialization.boolean().optional(),
     toolChoice: core.serialization.property("tool_choice", V2ChatStreamRequestToolChoice.optional()),
     thinking: Thinking.optional(),
+    rawPrompting: core.serialization.property("raw_prompting", core.serialization.boolean().optional()),
 });
 
 export declare namespace V2ChatStreamRequest {
@@ -64,5 +65,6 @@ export declare namespace V2ChatStreamRequest {
         logprobs?: boolean | null;
         tool_choice?: V2ChatStreamRequestToolChoice.Raw | null;
         thinking?: Thinking.Raw | null;
+        raw_prompting?: boolean | null;
     }
 }

src/serialization/types/ChatMessageEndEventDelta.ts

@@ -5,16 +5,22 @@
 import * as serializers from "../index";
 import * as Cohere from "../../api/index";
 import * as core from "../../core";
+import { ChatFinishReason } from "./ChatFinishReason";
+import { Usage } from "./Usage";
 
 export const ChatMessageEndEventDelta: core.serialization.ObjectSchema<
     serializers.ChatMessageEndEventDelta.Raw,
     Cohere.ChatMessageEndEventDelta
 > = core.serialization.object({
     error: core.serialization.string().optional(),
+    finishReason: core.serialization.property("finish_reason", ChatFinishReason.optional()),
+    usage: Usage.optional(),
 });
 
 export declare namespace ChatMessageEndEventDelta {
     export interface Raw {
         error?: string | null;
+        finish_reason?: ChatFinishReason.Raw | null;
+        usage?: Usage.Raw | null;
     }
 }