open-webui · Classic298 · Jan 9, 2026 · Jan 9, 2026
diff --git a/docs/features/audio/speech-to-text/env-variables.md b/docs/features/audio/speech-to-text/env-variables.md
@@ -27,6 +27,7 @@ Most of these settings can also be configured in the **Admin Panel → Settings
 | `WHISPER_MODEL_DIR` | Directory to store Whisper model files | `{CACHE_DIR}/whisper/models` |
 | `WHISPER_COMPUTE_TYPE` | Compute type for inference (see note below) | `int8` |
 | `WHISPER_LANGUAGE` | ISO 639-1 language code (empty = auto-detect) | empty |
+| `WHISPER_MULTILINGUAL` | Use the multilingual Whisper model | `false` |
 | `WHISPER_MODEL_AUTO_UPDATE` | Auto-download model updates | `false` |
 | `WHISPER_VAD_FILTER` | Enable Voice Activity Detection filter | `false` |
 

diff --git a/docs/features/audio/speech-to-text/stt-config.md b/docs/features/audio/speech-to-text/stt-config.md
@@ -93,6 +93,7 @@ For smaller models like Whisper, CPU mode often provides comparable performance
 #### Poor Recognition Accuracy
 
 - **Set the language explicitly** using `WHISPER_LANGUAGE=en` (uses ISO 639-1 codes)
+- **Toggles multilingual support** — Use `WHISPER_MULTILINGUAL=true` if you need to support languages other than English. When disabled (default), only the English-only variant of the model is used for better performance in English tasks.
 - **Use a larger Whisper model** — options: `tiny`, `base`, `small`, `medium`, `large`
 - Larger models are more accurate but slower
 

diff --git a/docs/features/evaluation/index.mdx b/docs/features/evaluation/index.mdx
@@ -86,7 +86,17 @@ This is a sample leaderboard layout:
 
 ![Leaderboard Example](/images/evaluation/leaderboard.png)
 
-### Topic-Based Reranking
+### Model Activity Tracking
+
+In addition to overall Elo ratings, you can now view a model's performance history through the **Model Activity Chart**. This feature provides a chronological view of how a model's evaluation has evolved over time.
+
+- **Diverging Chart**: The chart displays wins (positive) and losses (negative) daily or weekly, giving you a clear visual indicator of the model's reliability over time.
+- **Time Ranges**: You can toggle between different time horizons: **30 Days**, **1 Year**, or **All Time**.
+- **Weekly Aggregation**: For longer time ranges (1Y and All), the data is automatically aggregated by week to provide a smoother, more readable trend.
+
+To view the activity chart, click on a model in the Leaderboard to open its detailed evaluation modal.
+
+![Model Activity Chart](/images/evaluation/activity-chart.png)
 
 When you rate chats, you can **tag them by topic** for more granular insights. This is especially useful if you’re working in different domains like **customer service, creative writing, technical support**, etc.
 

diff --git a/docs/features/image-generation-and-editing/usage.md b/docs/features/image-generation-and-editing/usage.md
@@ -37,7 +37,7 @@ You can also edit the LLM's response and enter your image generation prompt as t
 
 :::info
 **Legacy "Generate Image" Button:**
-As of Open WebUI v0.7, the native "Generate Image" button (which allowed generating an image directly from a message's content) was removed. If you wish to restore this functionality, you can use the community-built **[Generate Image Action](https://openwebui.com/posts/3fadc3ca-c955-4c9e-9582-7438f0911b62)**.
+As of Open WebUI v0.7.0, the native "Generate Image" button (which allowed generating an image directly from a message's content) was removed. If you wish to restore this functionality, you can use the community-built **[Generate Image Action](https://openwebui.com/posts/3fadc3ca-c955-4c9e-9582-7438f0911b62)**.
 :::
 
 ## Restoring the "Generate Image" Button

diff --git a/docs/features/plugin/tools/index.mdx b/docs/features/plugin/tools/index.mdx
@@ -155,10 +155,11 @@ These models excel at multi-step reasoning, proper JSON formatting, and autonomo
 | `fetch_url` | Visits a URL and extracts text content via the Web Loader. | Part of Web Search feature. |
 | **Knowledge Base** | | |
 | `list_knowledge_bases` | List the user's accessible knowledge bases with file counts. | Always available. |
+| `query_knowledge_bases` | Search knowledge bases by semantic similarity to query. Finds KBs whose name/description match the meaning of your query. Use this to discover relevant knowledge bases before querying their files. | Always available. |
 | `search_knowledge_bases` | Search knowledge bases by name and description. | Always available. |
+| `query_knowledge_files` | Search internal knowledge base files using semantic/vector search. This should be your first choice for finding information before searching the web. | Always available. |
 | `search_knowledge_files` | Search files across accessible knowledge bases by filename. | Always available. |
 | `view_knowledge_file` | Get the full content of a file from a knowledge base. | Always available. |
-| `query_knowledge_bases` | Search internal knowledge bases using semantic/vector search. Should be your first choice for finding information before searching the web. | Always available. |
 | **Image Gen** | | |
 | `generate_image` | Generates a new image based on a prompt (supports `steps`). | `ENABLE_IMAGE_GENERATION` enabled. |
 | `edit_image` | Edits an existing image based on a prompt and URL. | `ENABLE_IMAGE_EDIT` enabled.|
@@ -227,7 +228,7 @@ Interleaved thinking requires models with strong reasoning capabilities. This fe
 
 This is fundamentally different from a single-shot tool call. In an interleaved workflow, the model follows a cycle:
 1.  **Reason**: Analyze the user's intent and identify information gaps.
-2.  **Act**: Call a tool (e.g., `query_knowledge_bases` for internal docs or `search_web` and `fetch_url` for web research).
+2.  **Act**: Call a tool (e.g., `query_knowledge_files` for internal docs or `search_web` and `fetch_url` for web research).
 3.  **Think**: Read the tool's output and update its internal understanding.
 4.  **Iterate**: If the answer isn't clear, call another tool (e.g., `view_knowledge_file` to read a specific document or `fetch_url` to read a specific page) or refine the search.
 5.  **Finalize**: Only after completing this "Deep Research" cycle does the model provide a final, grounded answer.

diff --git a/docs/getting-started/env-configuration.mdx b/docs/getting-started/env-configuration.mdx
@@ -12,7 +12,7 @@ As new variables are introduced, this page will be updated to reflect the growin
 
 :::info
 
-This page is up-to-date with Open WebUI release version [v0.7](https://github.com/open-webui/open-webui/releases/tag/v0.7), but is still a work in progress to later include more accurate descriptions, listing out options available for environment variables, defaults, and improving descriptions.
+This page is up-to-date with Open WebUI release version [v0.7.0](https://github.com/open-webui/open-webui/releases/tag/v0.7.0), but is still a work in progress to later include more accurate descriptions, listing out options available for environment variables, defaults, and improving descriptions.
 
 :::
 
@@ -3642,7 +3642,6 @@ Note: If none of the specified languages are available and `en` was not in your
 - Type: `bool`
 - Default: `False`
 - Description: Specifies whether to apply a Voice Activity Detection (VAD) filter to Whisper Speech-to-Text.
-- Persistence: This environment variable is a `PersistentConfig` variable.
 
 #### `WHISPER_MODEL_AUTO_UPDATE`
 
@@ -3656,6 +3655,12 @@ Note: If none of the specified languages are available and `en` was not in your
 - Default: `None`
 - Description: Specifies the ISO 639-1 language Whisper uses for STT (ISO 639-2 for Hawaiian and Cantonese). Whisper predicts the language by default.
 
+#### `WHISPER_MULTILINGUAL`
+
+- Type: `bool`
+- Default: `False`
+- Description: Toggles whether to use the multilingual Whisper model. When set to `False`, the system will use the English-only model for better performance in English-centric tasks. When `True`, it supports multiple languages.
+
 ### Speech-to-Text (OpenAI)
 
 #### `AUDIO_STT_ENGINE`

diff --git a/docs/getting-started/quick-start/tab-docker/ManualDocker.md b/docs/getting-started/quick-start/tab-docker/ManualDocker.md
@@ -23,7 +23,7 @@ docker pull ghcr.io/open-webui/open-webui:main-slim
 You can also pull a specific Open WebUI release version directly by using a versioned image tag. This is recommended for production environments to ensure stable and reproducible deployments.
 
 ```bash
-docker pull ghcr.io/open-webui/open-webui:v0.7
+docker pull ghcr.io/open-webui/open-webui:v0.7.0
 ```
 
 ## Step 2: Run the Container

diff --git a/docs/intro.mdx b/docs/intro.mdx
@@ -99,9 +99,9 @@ ghcr.io/open-webui/open-webui:<RELEASE_VERSION>-<TYPE>
 
 Examples (pinned versions for illustration purposes only):
 ```
-ghcr.io/open-webui/open-webui:v0.7
-ghcr.io/open-webui/open-webui:v0.7-ollama
-ghcr.io/open-webui/open-webui:v0.7-cuda
+ghcr.io/open-webui/open-webui:v0.7.0
+ghcr.io/open-webui/open-webui:v0.7.0-ollama
+ghcr.io/open-webui/open-webui:v0.7.0-cuda
 ```
 
 ### Using the Dev Branch 🌙

diff --git a/docs/tutorials/tips/sqlite-database.md b/docs/tutorials/tips/sqlite-database.md
@@ -10,7 +10,7 @@ This tutorial is a community contribution and is not supported by the Open WebUI
 :::
 
 > [!WARNING]
-> This documentation was created/updated based on version 0.7 and updated for recent migrations.
+> This documentation was created/updated based on version 0.7.0 and updated for recent migrations.
 
 ## Open-WebUI Internal SQLite Database