Kimi

Opens a dedicated webview panel within VS Code that hosts the Kimi Chat interface, allowing developers to access AI-powered conversation without leaving the editor. The extension uses VS Code's webview API to embed a browser-like container that communicates with Kimi.ai servers, with automatic panel launch on first install and status bar quick-access button for toggling visibility.

Processes uploaded images through Kimi k1.5's vision model to extract visual structure and convert it into executable code or structured insights. The extension relays images from the webview to Kimi's backend, which performs OCR, layout analysis, and code generation, returning code snippets or structured representations that developers can copy into their projects.

Analyzes images containing charts, graphs, tables, or visual data representations and converts them into structured chart definitions or data formats. Kimi k1.5 extracts numerical values, axis labels, and data relationships from the image, then generates chart code (e.g., Chart.js, D3.js, or data JSON) that developers can integrate into dashboards or reports.

Processes images to identify and count visual elements (objects, colors, patterns) using Kimi k1.5's vision capabilities. The model analyzes pixel data and semantic content to detect specific colors (with hex/RGB output), enumerate objects in scenes, and provide spatial relationships, useful for design validation, inventory counting, or accessibility auditing.

Analyzes images to identify visually similar objects or elements that might be confused with one another, using Kimi k1.5's comparative vision reasoning. Useful for design validation, accessibility testing, and quality assurance — the model compares visual features (shape, color, texture) and flags potential confusion points that could impact user experience or clarity.

Recognizes brands, logos, and product identities from images using Kimi k1.5's visual knowledge base. The model identifies brand names, associated companies, and contextual information from visual cues (logos, packaging, design language), useful for competitive analysis, asset verification, or market research.

Analyzes images to identify geographic locations, landmarks, or regional characteristics using Kimi k1.5's geospatial visual reasoning. The model examines visual cues (architecture, signage, vegetation, infrastructure) to infer location, useful for geography games, travel planning, or location-based content validation.

Allows developers to change the URL in extension settings to access any website through the Kimi webview panel, effectively converting the extension into a generic webview wrapper. This enables access to alternative AI services, internal tools, or custom web applications by modifying the target URL without rebuilding the extension, providing flexibility for teams with non-standard deployment or custom integrations.

Adds a clickable status bar item in VS Code's bottom status bar that toggles the visibility of the Kimi Chat webview panel. Provides one-click access to open/close the chat interface without using the command palette or keyboard shortcuts, improving discoverability and reducing friction for casual chat access during coding sessions.

Automatically opens the Kimi Chat webview panel when the extension is first installed, providing immediate onboarding and reducing friction for new users. This activation behavior eliminates the need for users to manually discover and open the chat interface, improving first-time user experience and encouraging immediate engagement with the extension's capabilities.