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debug-ai-image-generation

Debug OpenRouter SSE handlers to extract base64 images from delta.images.

2|Updated May 10, 2026
Search Tags:#debugging#backend#multimodal#gemini#openrouter#sse#ai-image-generation
One-click install
npx skills add https://github.com/freedomw1987/tree_monstor --skill debug-ai-image-generation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-ai-image-generation
Source: https://github.com/freedomw1987/tree_monstor/tree/main/skills/debug-ai-image-generation
Command: npx skills add https://github.com/freedomw1987/tree_monstor --skill debug-ai-image-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated images from multimodal LLMs accessed via OpenRouter fail to display in chat user interfaces because the backend does not correctly parse the valid image data paths in Server-Sent Event (SSE) responses.

Core Features & Use Cases

  • Structured diagnostic workflow: Guides developers to test the OpenRouter API directly to identify the correct image data field in SSE chunks.
  • Corrected backend implementation: Provides working code snippets to fix the SSE handler, extracting usable base64 image data from the delta.images field instead of non-usable encrypted binary from reasoning_details.
  • Verification steps: Includes backend restart and browser console tests to confirm images render correctly after fixes.
  • Use case: For developers building chat applications that integrate OpenRouter's multimodal models, this skill cuts down image display debugging time from hours to minutes by eliminating guesswork around response structure.

Quick Start

Use the debug-ai-image-generation skill to resolve missing AI-generated image display in your OpenRouter/Gemini chat application by updating your backend SSE handler to parse the correct image data field.

Frequently Asked Questions about debug-ai-image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why are AI-generated images missing from OpenRouter multimodal LLM responses in my chat UI?▼

AI-generated images are missing because the backend SSE handler incorrectly parses encrypted binary data from the reasoning_details field instead of extracting base64 image data from the delta.images field.

How do I parse base64 image data from OpenRouter SSE chunks for Gemini multimodal models?▼

To parse base64 image data from OpenRouter SSE chunks, update your backend handler to read the delta.images response field directly, bypassing non-usable encrypted binary data in the reasoning_details field.

What is the correct response field for extracting images from OpenRouter Gemini Server-Sent Event streams?▼

The correct response field for extracting images from OpenRouter Gemini SSE streams is delta.images, which contains usable base64 image data rather than encrypted binary content.

How to debug missing AI image display in a chat application backend processing SSE responses?▼

Debug missing AI image display by testing the OpenRouter API directly to identify the delta.images field, updating the SSE handler code, and performing browser console tests to verify images render correctly.

Does OpenRouter send image data in the reasoning_details field for Gemini multimodal outputs?▼

No, OpenRouter does not send usable image data in the reasoning_details field for Gemini multimodal outputs; that field contains non-usable encrypted binary data, while actual images are in delta.images.

Can I use this SSE parsing fix for chat applications integrating other multimodal models via OpenRouter?▼

This SSE parsing fix specifically targets chat applications integrating OpenRouter and Google Gemini multimodal LLMs, applying to backend debugging workflows processing Server-Sent Event responses with multimodal outputs.

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