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@@ -3070,18 +3070,18 @@ In any production environment running more than one instance of Open WebUI (e.g.
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#### `WEBUI_AUTH_TRUSTED_EMAIL_HEADER`
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- Type: `str`
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- Description: Defines the trusted request header for authentication. See [SSO docs](/features/auth).
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- Description: Defines the trusted request header for authentication. See [SSO docs](/features/auth/sso).
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#### `WEBUI_AUTH_TRUSTED_NAME_HEADER`
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- Type: `str`
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- Description: Defines the trusted request header for the username of anyone registering with the
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`WEBUI_AUTH_TRUSTED_EMAIL_HEADER` header. See [SSO docs](/features/auth).
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`WEBUI_AUTH_TRUSTED_EMAIL_HEADER` header. See [SSO docs](/features/auth/sso).
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#### `WEBUI_AUTH_TRUSTED_GROUPS_HEADER`
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- Type: `str`
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- Description: Defines the trusted request header containing a comma-separated list of group memberships for the user when using trusted header authentication. See [SSO docs](/features/auth).
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- Description: Defines the trusted request header containing a comma-separated list of group memberships for the user when using trusted header authentication. See [SSO docs](/features/auth/sso).
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### Google
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@@ -180,5 +180,5 @@ Restart your Open WebUI instance after setting these environment variables.
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* **Groups Not Syncing:** Verify that the `OAUTH_GROUP_CLAIM` environment variable matches the claim name configured in the Okta ID Token settings. Ensure the user has logged out and back in after group changes - a login flow is required to update OIDC. Remember admin groups are not synced.
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* **Configuration Errors:** Review the Open WebUI server logs for detailed error messages related to OIDC configuration.
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* Refer to the official [Open WebUI SSO Documentation](/features/auth).
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* Refer to the official [Open WebUI SSO Documentation](/features/auth/sso).
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* Consult the [Okta Developer Documentation](https://developer.okta.com/docs/).
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@@ -70,7 +70,7 @@ The default local transformer can already handle the text-to-speech function. If
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### I: Embedding Model
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For various purposes, you will need an embedding model (e.g. [RAG](/features/rag.md)). You will first have to download such a model of your choice (e.g. [Huggingface - sentence-transformers](https://huggingface.co/sentence-transformers)).
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For various purposes, you will need an embedding model (e.g. [RAG](/features/rag)). You will first have to download such a model of your choice (e.g. [Huggingface - sentence-transformers](https://huggingface.co/sentence-transformers)).
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```python
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from huggingface_hub import snapshot_download
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