Merge branch 'main' into DOCS-3031

Author: mdlinville

.github/workflows/calibreapp-image-actions.yml

@@ -35,7 +35,7 @@ jobs:
           ref: ${{ github.head_ref }}
 
       - name: Compress Images
-        uses: calibreapp/image-actions@2a254d926beda392b8c36e1be95252aa3d534405 # main
+        uses: calibreapp/image-actions@20a2d896d7e1103fc29631f4829539761123b8f5 # main
         with:
           jpegQuality: '85'
           jpegProgressive: false

.github/workflows/codeql.yml

@@ -43,7 +43,7 @@ jobs:
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@f205ea1c3313d32999d8d6a48b4f6530d4437b38 # v4
+      uses: github/codeql-action/init@d1ba80a13dd99fba24a470575428917156a28b43 # v4
       with:
         languages: ${{ matrix.language }}
         # If you wish to specify custom queries, you can do so here or in a config file.
@@ -57,7 +57,7 @@ jobs:
     # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
     # If this step fails, then you should remove it and run the build manually (see below)
     - name: Autobuild
-      uses: github/codeql-action/autobuild@f205ea1c3313d32999d8d6a48b4f6530d4437b38 # v4
+      uses: github/codeql-action/autobuild@d1ba80a13dd99fba24a470575428917156a28b43 # v4
 
     # ℹ️ Command-line programs to run using the OS shell.
     # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
@@ -70,4 +70,4 @@ jobs:
     #   ./location_of_script_within_repo/buildscript.sh
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@f205ea1c3313d32999d8d6a48b4f6530d4437b38 # v4
+      uses: github/codeql-action/analyze@d1ba80a13dd99fba24a470575428917156a28b43 # v4

inference/lifecycle.mdx

@@ -34,26 +34,25 @@ Models that are in the **deprecated** stage continue to serve requests.
 The following Serverless Inference models are **deprecated**:
 
 {/* takeru lifecycle-deprecated - This table is automatically generated, do not edit manually. */}
-| Deprecation date | Retirement date | Model ID                             | Recommended replacement                             |
-| ---------------- | --------------- | ------------------------------------ | --------------------------------------------------- |
-| 2026-06-30       | 2026-08-04      | `microsoft/Phi-4-mini-instruct`      | `JetBrains/Mellum2-12B-A2.5B-Instruct`              |
-| 2026-06-30       | 2026-08-04      | `nvidia/Kimi-K2.5-NVFP4`             | `moonshotai/Kimi-K2.6`, `moonshotai/Kimi-K2.7-Code` |
-| 2026-06-30       | 2026-08-04      | `Qwen/Qwen3.5-27B`                   | `Qwen/Qwen3.6-27B`                                  |
-| 2026-06-30       | 2026-08-04      | `Qwen/Qwen3-235B-A22B-Instruct-2507` | `Qwen/Qwen3.6-27B`                                  |
-| 2026-06-30       | 2026-08-04      | `Qwen/Qwen3-235B-A22B-Thinking-2507` | `Qwen/Qwen3.6-27B`                                  |
+_None currently_
 
 ## Retired models
 
 The following Serverless Inference models are **retired**:
 
 {/* takeru lifecycle-retired - This table is automatically generated, do not edit manually. */}
-| Retirement date | Model ID                                    | Recommended replacement       |
-| --------------- | ------------------------------------------- | ----------------------------- |
-| 2026-05-11      | `zai-org/GLM-5-FP8`                         | `zai-org/GLM-5.1`             |
-| 2026-04-21      | `meta-llama/Llama-4-Scout-17B-16E-Instruct` | `Qwen/Qwen3.5-35B-A3B`        |
-| 2026-03-04      | `deepseek-ai/DeepSeek-R1-0528`              |                               |
-| 2026-03-04      | `deepseek-ai/DeepSeek-V3-0324`              |                               |
-| 2026-03-04      | `moonshotai/Kimi-K2-Instruct`               | `moonshotai/Kimi-K2.5`        |
-| 2026-03-04      | `moonshotai/Kimi-K2-Instruct-0905`          | `moonshotai/Kimi-K2.5`        |
-| 2026-03-04      | `Qwen/Qwen2.5-14B-Instruct`                 | `OpenPipe/Qwen3-14B-Instruct` |
-| 2026-03-04      | `zai-org/GLM-4.5`                           | `zai-org/GLM-5-FP8`           |
+| Retirement date | Model ID                                    | Recommended replacement                             |
+| --------------- | ------------------------------------------- | --------------------------------------------------- |
+| 2026-08-04      | `microsoft/Phi-4-mini-instruct`             | `JetBrains/Mellum2-12B-A2.5B-Instruct`              |
+| 2026-08-04      | `nvidia/Kimi-K2.5-NVFP4`                    | `moonshotai/Kimi-K2.6`, `moonshotai/Kimi-K2.7-Code` |
+| 2026-08-04      | `Qwen/Qwen3.5-27B`                          | `Qwen/Qwen3.6-27B`                                  |
+| 2026-08-04      | `Qwen/Qwen3-235B-A22B-Instruct-2507`        | `Qwen/Qwen3.6-27B`                                  |
+| 2026-08-04      | `Qwen/Qwen3-235B-A22B-Thinking-2507`        | `Qwen/Qwen3.6-27B`                                  |
+| 2026-05-11      | `zai-org/GLM-5-FP8`                         | `zai-org/GLM-5.1`                                   |
+| 2026-04-21      | `meta-llama/Llama-4-Scout-17B-16E-Instruct` | `Qwen/Qwen3.5-35B-A3B`                              |
+| 2026-03-04      | `deepseek-ai/DeepSeek-R1-0528`              |                                                     |
+| 2026-03-04      | `deepseek-ai/DeepSeek-V3-0324`              |                                                     |
+| 2026-03-04      | `moonshotai/Kimi-K2-Instruct`               | `moonshotai/Kimi-K2.5`                              |
+| 2026-03-04      | `moonshotai/Kimi-K2-Instruct-0905`          | `moonshotai/Kimi-K2.5`                              |
+| 2026-03-04      | `Qwen/Qwen2.5-14B-Instruct`                 | `OpenPipe/Qwen3-14B-Instruct`                       |
+| 2026-03-04      | `zai-org/GLM-4.5`                           | `zai-org/GLM-5-FP8`                                 |

inference/models.mdx

@@ -54,13 +54,7 @@ _None currently_
 The following models are [deprecated](/inference/lifecycle#model-lifecycle-stages):
 
 {/* takeru inference-models-deprecated - This table is automatically generated, do not edit manually. */}
-| Model                         | Model ID (for API usage)             | Type         | Context Window | Parameters              | Description                                                                                                                                 |
-| ----------------------------- | ------------------------------------ | ------------ | -------------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- |
-| Microsoft Phi 4 Mini 3.8B     | `microsoft/Phi-4-mini-instruct`      | Text         | 128k           | 3.8B (Total)            | Compact, efficient model ideal for fast responses in resource-constrained environments.                                                     |
-| Moonshot AI Kimi K2.5         | `moonshotai/Kimi-K2.5`               | Text, Vision | 262k           | 32B-1T (Active-Total)   | Kimi K2.5 is a multimodal Mixture-of-Experts language model featuring 32 billion activated parameters and a total of 1 trillion parameters. |
-| Qwen3.5 27B                   | `Qwen/Qwen3.5-27B`                   | Text, Vision | 262k           | 27B (Total)             | Qwen3.5-27B is a dense model from the Qwen3.5 family built for high performance across a large range of benchmarks.                         |
-| Qwen3 235B A22B Thinking-2507 | `Qwen/Qwen3-235B-A22B-Thinking-2507` | Text         | 262k           | 22B-235B (Active-Total) | High-performance Mixture-of-Experts model optimized for structured reasoning, math, and long-form generation.                               |
-| Qwen3 235B A22B-2507          | `Qwen/Qwen3-235B-A22B-Instruct-2507` | Text         | 262k           | 22B-235B (Active-Total) | Efficient multilingual, Mixture-of-Experts, instruction-tuned model, optimized for logical reasoning.                                       |
+_None currently_
 
 
 ## Use model IDs

inference/response-settings/reasoning.mdx

@@ -28,16 +28,13 @@ The following table lists the Serverless Inference models that can return reason
 | `MiniMaxAI/MiniMax-M2.5`                       | Always on                          |
 | `moonshotai/Kimi-K2.7-Code`                    | Always on                          |
 | `moonshotai/Kimi-K2.6`                         | Always on                          |
-| `moonshotai/Kimi-K2.5`                         | Always on                          |
 | `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8` | Enabled by default                 |
 | `nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B`     | Enabled by default                 |
 | `openai/gpt-oss-120b`                          | Always on                          |
 | `openai/gpt-oss-20b`                           | Always on                          |
 | `Qwen/Qwen3.6-35B-A3B`                         | Enabled by default                 |
 | `Qwen/Qwen3.6-27B`                             | Enabled by default                 |
 | `Qwen/Qwen3.5-35B-A3B`                         | Enabled by default                 |
-| `Qwen/Qwen3.5-27B`                             | Enabled by default                 |
-| `Qwen/Qwen3-235B-A22B-Thinking-2507`           | Always on                          |
 | `zai-org/GLM-5.2`                              | Enabled by default                 |
 | `zai-org/GLM-5.1`                              | Enabled by default                 |
 

models/automations/create-automations.mdx

@@ -3,7 +3,7 @@ title: Overview
 description: Create and manage W&B automations to streamline your ML workflows
 keywords: ["automations", "Slack notifications", "webhooks", "registry events", "W&B secrets"]
 ---
-This page shows how to create and manage  [automations](/models/automations), which start in response to specific events in W&B. When a specific event occurs within an organization, team, project, registry, or collection, the automation notifies a Slack channel or runs a webhook. Use this overview to understand the prerequisites and high-level workflow, then follow the detailed instructions in [Create a Slack automation](/models/automations/create-automations/slack) or [Create a webhook automation](/models/automations/create-automations/webhook).
+This page shows how to create and manage [automations](/models/automations), which start in response to specific events in W&B. When a specific event occurs within an organization, team, project, registry, or collection, the automation notifies a Slack channel or runs a webhook. Use this overview to understand the prerequisites and high-level workflow, then follow the detailed instructions in [Create a Slack automation](/models/automations/create-automations/slack) or [Create a webhook automation](/models/automations/create-automations/webhook).
 
 <Note>
 Looking for companion tutorials for automations? 

models/runs/run-identifiers.mdx

@@ -41,7 +41,7 @@ You can also find a run's unique ID in the W&B App:
 
 1. Navigate to the [W&B App](https://wandb.ai/home).
 1. Navigate to the W&B project you specified when you initialized the run.
-1. Within your project's workspace, select either the  **Workspace** or **Runs** tab.
+1. Within your project's workspace, select either the **Workspace** or **Runs** tab.
 1. Select the run you want to view.
 1. Choose the **Overview** tab.
 

release-notes/sdk-releases.mdx

@@ -61,7 +61,7 @@ This page includes release notes for the W&B Python SDK (`wandb` package) used w
 - When a `wandb.Image` is logged inside a `wandb.Table` with multiple box or mask layers with distinct `class_labels`, each layer's labels are now preserved in new `box_class_maps` or `mask_class_maps` fields in the `table.json`. Previously, a single `class_map` would be incorrectly overwritten by each set of class labels.
 - Artifact file operations now consistently require normalized relative paths.
 - To fix silent failures when `$TMPDIR` is missing or unwritable, logging an artifact using a `WandbLogger` or `run.log_artifact` now writes the manifest file to the artifact's staging directory instead of the OS temp dir.
-- Fixed a bug where logging artifacts in shared mode (`wandb.init(mode="shared")`)  with code-saving enabled would raise an error.
+- Fixed a bug where logging artifacts in shared mode (`wandb.init(mode="shared")`) with code-saving enabled would raise an error.
 - To create a `diff.patch` file, the `git_root` setting is now used by default, falling back to the `root_dir` setting.
 - Apple system metrics like GPU, CPU, power, and temperature are now collected on Apple M5 Macs.
 - File download progress is now shown when exporting history using `wandb.Api().run(...).download_history_exports`.

release-notes/server-releases-archived.mdx

@@ -97,7 +97,7 @@ W&B Server v0.70 includes features, enhancements, and performance improvements t
     - Registry can be turned on today with the `ENABLE_REGISTRY_UI` environment variable or by contacting your W&B support team.
     - We’re migrating existing team-level Model Registry assets to W&B Registry in stages over the next several releases. **No action is needed on your end. W&B will automatically copy Model Registry assets for each team to a corresponding automatically-created team-level private registry.**  Existing references to model collections in your old team-level Model Registry will still work.
         1. In Server v0.71, Registry will be on by default for all organizations.
-        1. Server v0.73 (August) will contain an opt-out environment variable that will execute this migration automatically during the upgrade. Migration takes between 5 and 30 minutes for most organizations. During the migration, linking artifacts to either the old team’s Model Registry or the new Registry will fail with an error. ****Artifact logging and retrieval** **will not be affected**.
+        1. Server v0.73 (August) will contain an opt-out environment variable that will execute this migration automatically during the upgrade. Migration takes between 5 and 30 minutes for most organizations. During the migration, linking artifacts to either the old team’s Model Registry or the new Registry will fail with an error. **Artifact logging and retrieval will not be affected**.
         1. In Server v0.74 (September), we will remove this flag and migration will happen during the upgrade.
 
         We’re optimizing for a seamless, minimally-inconveniencing upgrade to a powerful new experience. Reach out to your W&B team or [support](mailto:support@wandb.ai) for any questions about the migration.
@@ -604,7 +604,7 @@ Due to a release versioning issue, 0.56.0 is the next major release after 0.54.0
 <Update label="v0.47.2" description="December 1, 2023">
 
 ## Features
-* Use custom roles with specific permissions to customize access control within a team**
+* **Use custom roles with specific permissions to customize access control within a team**
   Available in preview to enterprise customers. Please reach out to your W&B account team or support for any questions.
 * Minor runs search improvements
 * Auto-resize runs search for long texts