cohere-ai · trentfowlercohere · Sep 11, 2025 · Sep 12, 2025 · Sep 12, 2025 · Sep 12, 2025
@@ -0,0 +1,41 @@
+---
+title: "Announcing Major Command Deprecations"
+slug: "changelog/2025-09-15-major-command-deprecations"
+createdAt: "Mon Sep 15 2025 00:00:00 (MST)"
+hidden: false
+description: >-
+ This announcement covers a series of major deprecations, including of classic Command models, several parameters, and entire endpoints.
+---
+
+As part of our ongoing commitment to delivering advanced AI solutions, we are streamlining our offerings to focus on the best-performing tools. The following models, features, and API endpoints will be deprecated:
+
+Deprecated Models:
+- command-light (legacy) → Use command-r-08-2024 or command-a-03-2025 instead.
+- command → Use command-r-03-2024 or command-r-plus-04-2024.
+- summarize → Refer to migration guide for alternatives.
+
+Retired Fine-Tuning Capabilities:
+All fine-tuning options via dashboard and API for models including command-light, command, command-r, classify, and rerank are being retired. Previously fine-tuned models will no longer be accessible.
+
+Deprecated Features and API Endpoints:
+- /v1/connectors (Managed connectors for RAG)
+- /v1/chat parameters: connectors, search_queries_only
+- /v1/generate (Legacy generative endpoint)
+- /v1/summarize (Legacy summarization endpoint)
+- /v1/classify
+- Slack App integration
+- Coral Web UI (chat.cohere.com)
+
+Why These Changes?
+We are aligning with evolving market needs, enhancing performance, and optimizing resources. Newer models like Command A offer superior capabilities. This transition ensures we remain at the forefront of innovation.
+
+Support and Migration:
+Our support team is ready to assist with your transition. For guidance, contact us at support@cohere.com or explore our documentation. We recommend assessing your current usage and planning your migration to the recommended alternatives.
+
+Thank you for your understanding and continued partnership. We look forward to delivering innovative AI solutions that drive your success.
+
+Best regards,
+
+The Cohere Support Team
+
+support@cohere.com
@@ -2,12 +2,16 @@
 title: "Fine-tuning for Cohere's Chat Model"
 slug: "docs/chat-fine-tuning"
 
-hidden: False
+hidden: true
 description: "This document provides guidance on fine-tuning, evaluating, and improving chat models."
 image: "../../assets/images/6ff1f01-cohere_meta_image.jpg"  
 keywords: "chat models, fine-tuning language models, fine-tuning, fine-tuning chat models"
 
 createdAt: "Fri Nov 10 2023 18:20:28 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Fri Mar 15 2024 04:42:37 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 This section contains information on [fine-tuning](/docs/chat-starting-the-training), [evaluating](/docs/chat-understanding-the-results), and [improving](/docs/chat-improving-the-results) chat models.
@@ -1,7 +1,7 @@
 ---
 title: Improving the Chat Fine-tuning Results
 slug: docs/chat-improving-the-results
-hidden: false
+hidden: true
 description: >-
   Learn how to refine data, iterate on hyperparameters, and troubleshoot to
   fine-tune your Chat model effectively.
@@ -10,6 +10,10 @@ keywords: 'fine-tuning, fine-tuning language models, chat models'
 createdAt: 'Mon Nov 13 2023 17:30:43 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Fri Mar 15 2024 04:43:11 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 There are several things you need to take into account to achieve the best fine-tuned model for Chat:
 
 ## Refining data quality

@@ -1,7 +1,7 @@
 ---
 title: Preparing the Chat Fine-tuning Data
 slug: docs/chat-preparing-the-data
-hidden: false
+hidden: true
 description: >-
   Prepare your data for fine-tuning a Command model for Chat with this
   step-by-step guide, including data formatting, requirements, and best
@@ -11,6 +11,10 @@ keywords: 'fine-tuning, fine-tuning language models'
 createdAt: 'Thu Nov 16 2023 02:53:26 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Tue May 07 2024 19:35:14 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will walk through how you can prepare your data for fine-tuning a one of the Command family of models for Chat.
 
 ### Data format

@@ -1,7 +1,7 @@
 ---
 title: Starting the Chat Fine-Tuning Run
 slug: docs/chat-starting-the-training
-hidden: false
+hidden: true
 description: >-
   Learn how to fine-tune a Command model for chat with the Cohere Web UI or
   Python SDK, including data requirements, pricing, and calling your model.
@@ -10,6 +10,10 @@ keywords: 'fine-tuning, fine-tuning language models'
 createdAt: 'Fri Nov 10 2023 18:22:10 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Wed Jun 12 2024 00:17:37 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will walk through how you can start training a fine-tuning model for Chat on both the Web UI and the Python SDK.
 
 ## Cohere Dashboard

@@ -1,7 +1,7 @@
 ---
 title: Understanding the Chat Fine-tuning Results
 slug: docs/chat-understanding-the-results
-hidden: false
+hidden: true
 description: >-
   Learn how to evaluate and troubleshoot a fine-tuned chat model with accuracy
   and loss metrics.
@@ -10,6 +10,10 @@ keywords: 'chat models, fine-tuning, fine-tuning language models'
 createdAt: 'Fri Nov 10 2023 18:22:54 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Fri Mar 15 2024 04:43:03 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 The outputs of a fine-tuned model for Chat are often best evaluated qualitatively. While the performance metrics are a good place to start, you'll still have to assess whether it _feels_ right to arrive at a comprehensive understanding of the model’s performance.
 
 When you create a fine-tuned model for Chat, you will see metrics that look like this:

@@ -2,12 +2,16 @@
 title: "Fine-tuning for Cohere's Classify Model"
 slug: "docs/classify-fine-tuning"
 
-hidden: false
+hidden: true
 description: "This document provides guidance on fine-tuning, evaluating, and improving classification models."
 image: "../../assets/images/4aa4671-cohere_meta_image.jpg"  
 keywords: "classification, classification models, fine-tuning large language models"
 
 createdAt: "Fri Nov 10 2023 18:12:45 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Fri Mar 15 2024 04:41:11 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 This section contains information on [fine-tuning](/docs/classify-starting-the-training), [evaluating](/docs/classify-understanding-the-results), and [improving](/docs/classify-improving-the-results) classification models.
@@ -1,7 +1,7 @@
 ---
 title: Improving the Classify Fine-tuning Results
 slug: docs/classify-improving-the-results
-hidden: false
+hidden: true
 description: >-
   Troubleshoot your fine-tuned classification model with these tips for refining
   data quality and improving results.
@@ -10,6 +10,10 @@ keywords: 'classification models, fine-tuning, fine-tuning classification models
 createdAt: 'Fri Nov 10 2023 20:16:25 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Fri Mar 15 2024 04:41:45 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 There are several things you need to take into account to achieve the best fine-tuned model for Classification, all of which are based on giving the model higher-quality data.
 
 ## Refining data quality

@@ -1,15 +1,21 @@
 ---
 title: Preparing the Classify Fine-tuning data
 slug: docs/classify-preparing-the-data
-hidden: false
+hidden: true
 description: >-
   Learn how to prepare your data for fine-tuning classification models,
   including single-label and multi-label data formats and dataset cleaning tips.
 image: ../../../assets/images/033184f-cohere_meta_image.jpg
 keywords: 'classification models, fine-tuning, fine-tuning language models'
 createdAt: 'Wed Nov 15 2023 22:21:51 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Wed Apr 03 2024 15:23:42 GMT+0000 (Coordinated Universal Time)'
+
 ---
+
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will walk through how you can prepare your data for fine-tuning models for Classification.
 
 For classification fine-tuning jobs we can choose between two types of datasets:

@@ -1,14 +1,18 @@
 ---
 title: Training and deploying a fine-tuned Cohere model.
 slug: docs/classify-starting-the-training
-hidden: false
+hidden: true
 description: >-
   Fine-tune classification models with Cohere's Web UI or Python SDK using custom datasets. (V1)
 image: ../../../assets/images/3fe7824-cohere_meta_image.jpg
 keywords: 'classification models, fine-tuning language models, fine-tuning'
 createdAt: 'Fri Nov 10 2023 18:14:01 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Thu Jun 13 2024 13:10:55 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will walk through how you can start training a fine-tuning model for Classification with both the [Web UI](/docs/fine-tuning-with-the-web-ui) and the Python SDK.
 
 ## Web UI

@@ -1,7 +1,7 @@
 ---
 title: Understanding the Classify Fine-tuning Results
 slug: docs/classify-understanding-the-results
-hidden: false
+hidden: true
 description: >-
   Understand the performance metrics for a fine-tuned classification model and
   learn how to interpret its accuracy, precision, recall, and F1 scores.
@@ -10,6 +10,10 @@ keywords: 'fine-tuning, classification, fine-tuning language models'
 createdAt: 'Fri Nov 10 2023 18:16:09 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Fri Mar 15 2024 04:41:36 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will explain the metrics for a fine-tuned model for Classification.
 
 Fine-tuned models for Classification are trained using data of examples mapping to predicted labels, and for that reason they are evaluated using the same methods and performance metrics. You can also provide a test set of data that we will use to calculate performance metrics. If a test set is not provided, we will split your training data randomly to calculate these performance metrics.

@@ -10,4 +10,8 @@ keywords: "generative AI on AWS, SageMaker, Bedrock"
 createdAt: "Fri Nov 10 2023 18:35:37 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Wed May 08 2024 20:00:51 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, you'll find information on how to fine-tune Cohere's generative models in the AWS ecosystem.
@@ -10,6 +10,10 @@ keywords: "AWS generative AI, language models on SageMaker, language models on B
 createdAt: "Fri Nov 10 2023 18:36:00 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Wed May 08 2024 20:00:51 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, you'll find information on how to fine-tune Cohere's generative models on AWS Bedrock. 
 
 Bedrock customers can fine-tune Cohere’s [Command Light](https://us-west-2.console.aws.amazon.com/bedrock/home?region=us-west-2#/providers?model=cohere.command-light-text-v14) as well as [Command model](https://us-west-2.console.aws.amazon.com/bedrock/home?region=us-west-2#/providers?model=cohere.command-text-v14) for their use cases. 

@@ -6,6 +6,10 @@ hidden: true
 createdAt: "Fri Nov 10 2023 18:36:16 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Tue May 07 2024 00:13:24 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, you'll find information on how to fine-tune Cohere's generative models on AWS Sagemaker.  
 
 Sagemaker customers can fine-tune Cohere’s [Command R model](<>) for their use cases. 

@@ -1,14 +1,19 @@
 ---
 title: Fine-tuning with Cohere's Dashboard
 slug: docs/fine-tuning-with-the-cohere-dashboard
-hidden: false
+hidden: true
 description: >-
   Use the Cohere Web UI to start the fine-tuning jobs and track the progress.
 image: ../../assets/images/da7d0fa-cohere_meta_image.jpg
 keywords: 'fine-tuning, fine-tuning large language models'
 createdAt: 'Wed Nov 15 2023 21:36:22 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Thu Jun 13 2024 00:39:00 GMT+0000 (Coordinated Universal Time)'
 ---
+
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 ![](../../assets/images/be2ccc8-image.png)
 Customers can kick off fine-tuning jobs by completing the data preparation and validation steps through the [Cohere dashboard](https://dashboard.cohere.com/fine-tuning). This is useful for customers who don't need or don't want to create a fine-tuning job programmatically via the [Fine-tuning API](/reference/listfinetunedmodels) or via the Cohere [Python SDK](/docs/fine-tuning), instead preferring the ease and simplicity of a web interface.
 

@@ -1,14 +1,18 @@
 ---
 title: Programmatic Fine-tuning
 slug: docs/fine-tuning-with-the-python-sdk
-hidden: false
+hidden: true
 description: >-
   Fine-tune models using the Cohere Python SDK programmatically and monitor the results through the Dashboard Web UI.
 image: ../../assets/images/782e60c-cohere_meta_image.jpg
 keywords: 'python, fine-tuning, fine-tuning large language models'
 createdAt: 'Fri Nov 10 2023 18:29:56 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Thu May 09 2024 02:54:41 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In addition to using the [Web UI](/docs/fine-tuning-with-the-web-ui) for fine-tuning models, customers can also kick off fine-tuning jobs programmatically using the [Fine-tuning API](/reference/listfinetunedmodels) or via the [Cohere Python SDK](https://pypi.org/project/cohere/). This can be useful for fine-tuning jobs that happen on a regular cadence, such as fine-tuning nightly on newly-acquired data.
 
 ## Datasets

@@ -1,7 +1,7 @@
 ---
 title: Introduction to Fine-Tuning with Cohere Models
 slug: docs/fine-tuning
-hidden: false
+hidden: true
 description: >-
   Fine-tune Cohere's large language models for specific tasks, styles, and
   formats with custom data.
@@ -10,6 +10,10 @@ keywords: 'fine-tuning language models, fine-tuning'
 createdAt: 'Fri Nov 10 2023 17:49:53 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Mon Jun 17 2024 01:54:04 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 Our ready-to-use large language models, such as `Command R`, as well as `Command R+`, are very good at producing responses to natural language prompts. However, there are many cases in which getting the best model performance requires performing an **additional** round of training on custom user data. Creating a custom model using this process is called **fine-tuning**.
 
 ### Why Fine-tune?

@@ -2,12 +2,16 @@
 title: Fine-tuning for Cohere's Rerank Model
 slug: "docs/rerank-fine-tuning"
 
-hidden: false
+hidden: true
 description: "This document provides guidance on fine-tuning, evaluating, and improving rerank models."
 image: "../../assets/images/3130066-cohere_meta_image.jpg"  
 keywords: "rerank models, generative AI, fine-tuning, fine-tuning language models"
 
 createdAt: "Fri Nov 10 2023 18:20:10 GMT+0000 (Coordinated Universal Time)"
 updatedAt: "Fri Mar 15 2024 04:41:53 GMT+0000 (Coordinated Universal Time)"
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 This section contains information on [fine-tuning](/docs/rerank-starting-the-training), [evaluating](/docs/rerank-understanding-the-results), and [improving](/docs/rerank-improving-the-results) rerank models.
@@ -1,14 +1,18 @@
 ---
 title: Improving the Rerank Fine-tuning Results
 slug: docs/rerank-improving-the-results
-hidden: false
+hidden: true
 description: >-
   Tips for achieving the best fine-tuned rerank model and troubleshooting guide for fine-tuned models.
 image: ../../../assets/images/55d219e-cohere_meta_image.jpg
 keywords: 'fine-tuning, fine-tuning language models, rerank'
 createdAt: 'Thu Nov 16 2023 02:59:09 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Fri Mar 15 2024 04:42:26 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 There are several things to take into account to achieve the best fine-tuned rerank model, most of which revolve around refining the quality of your data. 
 
 ## Refining Data Quality

@@ -1,7 +1,7 @@
 ---
 title: Preparing the Rerank Fine-tuning Data
 slug: docs/rerank-preparing-the-data
-hidden: false
+hidden: true
 description: >-
   Learn how to prepare and format your data for fine-tuning Cohere's Rerank
   model.
@@ -10,6 +10,10 @@ keywords: 'fine-tuning, fine-tuning language models'
 createdAt: 'Thu Nov 16 2023 02:58:29 GMT+0000 (Coordinated Universal Time)'
 updatedAt: 'Tue May 07 2024 02:26:45 GMT+0000 (Coordinated Universal Time)'
 ---
+<Warning>
+Cohere's fine-tuning feature was deprecated on September 15, 2025
+</Warning>
+
 In this section, we will walk through how you can prepare your data for fine-tuning for Rerank.
 
 ### Data format