LM Studio plugins add web image analysis for vision-capable LLMs

A developer has created plugins for LM Studio that allow vision-capable LLMs to fetch images from the web and analyze them directly within the application. The plugins work without requiring MCP/APIs or registration, using simple scripts that can be installed with one click from the LM Studio website.

Key Features

The main plugin, "analyze-images," enables LLMs to:

• Fetch images from the web for analysis
• Chain tools automatically based on the task
• Convert fetched images into smaller thumbnail files for chat embedding to avoid clutter
• Use full-resolution images for analysis when possible
• Embed images in responses or use markdown table galleries when users request multiple images

The developer also updated existing plugins:

• Duck-Duck-Go plugin now works with images
• Visit Website plugin now works with images

Requirements and Setup

To use these plugins, you need:

• A vision-capable model (Qwen 3.5 9b or 27b are recommended)
• LM Studio with plugin support

The developer shared specific Qwen 3.5 settings that worked well:

Temperature: 1
Top K sampling: 20
Repeat Penalty: 1
Presence Penalty: 1.9
Top P sampling: 0.95
Min P sampling: 0

They noted that the Presence Penalty setting at 1.9 helped fix repetition problems and prevent loops.

The system prompt used was: "You are a capable, thoughtful, and precise assistant. Always prioritize being truthful, nuanced, insightful, and efficient, tailoring your responses specifically to the user's needs and preferences. Research before answering the questions: use both reasoning and tool calls to synthesize a proper conclusion."

Plugin Links

• Analyze Images plugin: https://lmstudio.ai/vadimfedenko/analyze-images
• Duck-Duck-Go reworked: https://lmstudio.ai/vadimfedenko/duck-duck-go-reworked
• Visit Website reworked: https://lmstudio.ai/vadimfedenko/visit-website-reworked

The developer also shared a Jinja Prompt Template on Pastebin that helped fix tool call errors.