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Swiss AI Hub v0.308.0

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@github-actions github-actions released this 08 Jul 06:21
v0.308.0
111d570

Added

  • ✨ Dynamic LLM Model Discovery and Provisioning: Introduced automatic discovery of LiteLLM chat models and their
    provisioning as workspace models in OpenWebUI, allowing users to select and interact with available LLMs.
  • 🦾 "Use All Models" Access Preset: Added a new access preset to quickly grant users permission to utilize all
    available LLM models.
  • 📂 Model Capabilities in Access Editor: Integrated a dedicated 'Models' category into the Role Access Rules editor,
    enabling fine-grained control over model permissions.

Fixed

  • 🐛 Reliable Role Access Updates: Corrected the role update mechanism to ensure that changes to access rules trigger
    proper re-synchronization of OpenWebUI access grants.
  • 🔒 Normalized Model Access Rules: Addressed an issue where model names containing dots (e.g., Kimi-K2.6) were not
    correctly normalized in access rules, preventing proper matching and access grants. This applies to both role and
    tenant access rules.
  • 🩹 Persistent Access Change Hooks: Fixed a regression where internal signal subscriptions for access changes were
    prematurely garbage-collected, ensuring that OpenWebUI re-syncs are reliably triggered.
  • 🔑 Improved Cross-Tenant Role Isolation: Resolved a bug that could cause access rules for roles with the same name
    across different tenants to collide, ensuring each tenant's roles maintain their distinct access permissions.

Changed

  • 🔄 Unified OpenWebUI Model Management: OpenWebUI provisioning now seamlessly manages both AI-Hub agent models and
    newly introduced LLM workspace models, each with distinct prefixes and tailored access grant computations.
  • 🖼️ Enhanced Role Access Editor UI: The Role Access Rules editor now features a dedicated "Models" category,
    providing a clearer and more intuitive interface for managing model-related permissions.

Refactor

  • 🧹 Clearer OpenWebUI Model Prefixes: Renamed the OpenWebUI model prefix for agents (AIHUB_MODEL_PREFIX to
    AIHUB_AGENT_PREFIX) to improve clarity and distinguish it from the new prefix used for LLM models.
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