Analyze images and generate natural language responses via the z-ai-web-dev-sdk.
npx skills add https://github.com/jitenkr2030/AutoReel-AI --skill vlm-jitenkr2030
Please help me install this Agent Skill. Skill: VLM Source: https://github.com/jitenkr2030/AutoReel-AI/tree/main/skills/VLM Command: npx skills add https://github.com/jitenkr2030/AutoReel-AI --skill vlm-jitenkr2030
Vision-based chat enables applications to understand images and respond with natural language, bridging visual content and conversational AI for tasks like description, QA, and content understanding.
To begin, initialize the z-ai SDK on the server and call the vision endpoint with a text prompt and an image. Example usage (no fences): const zai = await ZAI.create(); const response = await zai.chat.completions.createVision({ messages: [ { role: 'user', content: [ { type: 'text', text: 'Describe this image' }, { type: 'image_url', image_url: { url: 'https://example.com/photo.jpg' } } ] } ], thinking: { type: 'disabled' } }); console.log(response.choices?.[0]?.message?.content);
High-intent search queries and answers about installing and using this skill.
Use the z-ai-web-dev-sdk on the server to call createVision with multimodal prompts like image_url or base64 content, enabling backend applications to understand images and generate natural language responses.
Yes, multimodal AI chats support both image_url and base64 content inputs. You can pass base64 encoded image strings directly in the message content array alongside text prompts for backend image understanding.
Vision-based conversational AI analyzes images and answers questions in a chat-like flow. It bridges visual content and natural language processing to describe product photos, answer visual questions, and generate alt text.
Yes, the z-ai-web-dev-sdk supports server-side vision tasks including generating alt text. By calling createVision with an image and text prompt, you can automate image description and content understanding.
The createVision endpoint requires the z-ai-web-dev-sdk to run on the server side and processes images via image_url or base64. It is designed for backend services and requires server-side execution.
EnztunAnalyze and describe images via URL or base64 input.
felipesantiago-coderAnalyze images, videos, and documents via vision-enabled AI chat completions.
nidhalboumaiza-0Generate videos from text prompts or images using the z-ai-web-dev-sdk.
mattismyname3011Analyze images and generate natural-language responses via the z-ai-web-dev-sdk.
