A developer known as ClassicMain on Reddit has released Inline Visualizer, an open-source plugin for Open WebUI that enables locally-run AI models to generate and render interactive charts, diagrams, forms, and other visual elements directly inside a chat interface — no cloud services required. The plugin is licensed under BSD-3 and works with any model that supports tool calling.
- Inline Visualizer is an open-source, BSD-3-licensed plugin for Open WebUI that replicates Claude’s artifacts feature for self-hosted, local model deployments.
- The plugin uses an HTML/SVG rendering pipeline with a JavaScript bridge that enables two-way communication between visualizations and the chat model.
- Compatible with Qwen, Mistral, Gemma, DeepSeek, Gemini, Claude, and GPT — and tested by the developer with Claude Haiku and Qwen3.5 27B.
- Use cases include clickable architecture diagrams, AI-graded quizzes, preference collection forms, and Chart.js dashboards.
What Happened
ClassicMain, a developer on Reddit, published a post announcing the release of Inline Visualizer, a plugin designed to bring interactive artifact rendering to self-hosted AI deployments. The release addresses a capability gap that has existed since Anthropic introduced its artifacts feature in Claude: the ability for a language model to produce not just text, but functional, interactive visual elements rendered inline in the chat window. That feature has until now been exclusive to Anthropic’s own interface.
Why It Matters
Anthropic’s artifacts feature, which renders charts, forms, code outputs, and diagrams directly within Claude’s chat UI, became a widely discussed differentiator for the Claude product. But it operates only within Anthropic’s hosted platform and is unavailable to developers running open-weight or third-party models locally via tools like Open WebUI.
The release of Inline Visualizer represents a community-built response to that constraint. As ClassicMain wrote in the Reddit post: “I wanted the same thing for whatever model I’m running. So I built it.” The plugin is positioned as a provider-agnostic alternative that works across a broad range of models, including open-weight options like Qwen, Mistral, Gemma, and DeepSeek, as well as API-accessible models like Gemini, Claude, and GPT.
Technical Details
Inline Visualizer works by equipping models with two components: a design system and a rendering tool. When a compatible model generates a visualization, it produces an HTML or SVG fragment. The plugin intercepts that output and wraps it in a themed shell that includes dark mode support, then renders it inline within the chat interface rather than as a raw code block or external link.
The more notable architectural element is a JavaScript bridge embedded in the rendering layer. This bridge allows interactive elements within a rendered visualization — buttons, clickable nodes, form inputs — to send messages back to the chat model. This creates a two-way communication loop: the model generates a visualization, the user interacts with it, and the interaction triggers a new message or query to the model. The developer demonstrated this with an architecture diagram use case, in which clicking a node in the diagram prompts the AI to explain that component.
According to ClassicMain, supported output types include Chart.js dashboards, explainers with expandable sections, interactive quizzes in which the AI grades submitted answers, preference forms that collect user choices and pass them to the model, and any HTML, SVG, or JavaScript that a model is capable of generating. The developer noted that high token-per-second inference speeds improve the experience for artifact generation, and that the plugin was tested with Claude Haiku and Qwen3.5 27B. Author details beyond the Reddit username ClassicMain were not available at time of publication.
Who’s Affected
The plugin is directly relevant to developers and self-hosters running Open WebUI, which is the required deployment environment. Because it relies on tool-calling support rather than model-specific APIs, it is compatible with any model that implements that capability — covering a wide range of both local and API-backed options.
Users who have moved away from Claude specifically because of privacy or cost concerns but want parity with its artifact rendering will find this the most directly applicable. Developers building internal tools, dashboards, or educational applications on top of self-hosted language models are also a clear target group, given the plugin’s support for form inputs and data collection.
What’s Next
The plugin is available now on GitHub under the Classic298 account and is open to community contributions under its BSD-3 license. The developer flagged that the quality of generated visualizations depends on the underlying model’s ability to write coherent HTML, SVG, and JavaScript, which means output quality will vary significantly between models.
ClassicMain noted that “the real fun is running it with local models,” suggesting the primary intended use case is offline or privacy-preserving deployments. No roadmap or planned feature additions were specified in the original announcement.
Related Reading
- pls: Open-Source CLI Converts Natural Language to Shell Commands, No Cloud Required
- LlamaIndex Releases LiteParse: Local PDF Parser With OCR and Bounding Boxes
- US Advisory Panel Warns China’s Open-Source AI Models Are Creating Self-Reinforcing Advantage
- Anthropic Launches Claude Dispatch for Remote Task Assignment Across Devices
