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ProxMenux 1.2.6.2-beta: OCI containers in the Monitor, docs and fixes
OCI manager Apps - App tab: containers installed from an OCI image are identified from their installation record; the application and image versions are shown and an update is detected by image digest; repository link; Refresh data. - Updates tab for OCI containers: Update and Recreate run the same flow as the OCI menu in the Monitor terminal; the pre-update backup can be kept in a backup storage; scheduled image updates with an optional minimum age. - Logs tab: console output of the application, kept on the host (lxc.console.logfile + logrotate) and followed live. - The Proxmox console opens a shell (cmode: shell) when the image has one. - A damaged image download is fetched again before failing. - Multi-container applications open at their LAN address; volume mount points on block storage report their usage. Monitor - Proxmox notifications are delivered to a loopback-only HTTP listener when HTTPS is enabled, so they no longer fail certificate verification. - Log persistence counts recurring patterns only; an ended burst is not reported as persistent and its warning clears on its own (#386). - Proxmox notification config backups are deduplicated and capped at three. - The update icon on the Apps page opens the container on its Updates tab. - Version 1.2.6.2-beta and its release notes in every Monitor language. Docs - OCI manager Apps and Audit & Report rebuilt as per-page message files, with a new page for OCI containers in the Monitor. - Seven pages fixed where rich-text tags were missing from t.rich. Translations - Spanish fixes across the OCI engine, the Monitor and the TUI menus. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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co-authored by
Claude Opus 5.5
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"en_US": "User-friendly WebUI for LLMs (Formerly Ollama WebUI)"
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},
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"description": {
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"en_US": "Open WebUI is a feature-rich, user-friendly self-hosted AI platform designed for fully offline operation, supporting multiple large language model runners and API integration. Its intuitive Web interface provides powerful AI deployment capabilities, ideal for developers, researchers, and AI enthusiasts building localized intelligent applications.\n\nThe tool's core features include local model execution and Retrieval Augmented Generation (RAG). It supports Ollama and OpenAI-compatible APIs (e.g., LMStudio, GroqCloud), enabling seamless model switching and multi-model conversations. RAG enhances chat experiences through local document loading or web search integration (e.g., SearXNG, Google PSE). Granular permissions and role-based access control (RBAC) ensure security with customized user role management.\n\nIt supports Markdown and LaTeX for enriched interactions and offers hands-free voice and video call features for dynamic communication. Image generation integration (e.g., DALL-E, ComfyUI) enriches visual content, and a model builder enables creating and importing custom models via the interface. The Pipelines plugin framework supports Python plugins, extending functionality like function calling and real-time translation. The tool\u2019s offline privacy and flexibility deliver a modern AI interaction solution.\n\n**Key Features:**\n- Local execution of Ollama and OpenAI-compatible APIs with multi-model conversations\n- RAG support with local document and web search integration (e.g., SearXNG, Google PSE)\n- Granular permissions and role-based access control (RBAC)\n- Simultaneous interaction with multiple models, leveraging their strengths\n- Image generation integration with DALL-E, ComfyUI, and more\n- Full Markdown and LaTeX support\n- Hands-free voice and video call functionality\n- Pipelines plugin framework for custom Python functionality\n\n**Learn More:**\n- [Open WebUI Official Website](https://openwebui.com)\n- [Open WebUI Documentation](https://docs.openwebui.com)\n- [Open WebUI GitHub Repository](https://github.com/open-webui/open-webui)\n"
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"en_US": "Open WebUI is a feature-rich, user-friendly self-hosted AI platform designed for fully offline operation, supporting multiple large language model runners and API integration. Its intuitive Web interface provides powerful AI deployment capabilities, ideal for developers, researchers, and AI enthusiasts building localized intelligent applications.\n\nThe tool's core features include local model execution and Retrieval Augmented Generation (RAG). It supports Ollama and OpenAI-compatible APIs (e.g., LMStudio, GroqCloud), enabling seamless model switching and multi-model conversations. RAG enhances chat experiences through local document loading or web search integration (e.g., SearXNG, Google PSE). Granular permissions and role-based access control (RBAC) ensure security with customized user role management.\n\nIt supports Markdown and LaTeX for enriched interactions and offers hands-free voice and video call features for dynamic communication. Image generation integration (e.g., DALL-E, ComfyUI) enriches visual content, and a model builder enables creating and importing custom models via the interface. The Pipelines plugin framework supports Python plugins, extending functionality like function calling and real-time translation. The tool’s offline privacy and flexibility deliver a modern AI interaction solution.\n\n**Key Features:**\n- Local execution of Ollama and OpenAI-compatible APIs with multi-model conversations\n- RAG support with local document and web search integration (e.g., SearXNG, Google PSE)\n- Granular permissions and role-based access control (RBAC)\n- Simultaneous interaction with multiple models, leveraging their strengths\n- Image generation integration with DALL-E, ComfyUI, and more\n- Full Markdown and LaTeX support\n- Hands-free voice and video call functionality\n- Pipelines plugin framework for custom Python functionality\n\n**Learn More:**\n- [Open WebUI Official Website](https://openwebui.com)\n- [Open WebUI Documentation](https://docs.openwebui.com)\n- [Open WebUI GitHub Repository](https://github.com/open-webui/open-webui)\n"
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},
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"category": "ai",
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"category_label": "AI / Coding & Dev-Tools",
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"author": "Tim J. Baek",
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"developer": "Tim J. Baek",
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"icon": null,
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"icon": "https://cdn.jsdelivr.net/gh/selfhst/icons@main/webp/open-webui.webp",
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"thumbnail": null,
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"screenshots": [],
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"architectures": [
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