llm-gemini Version 0.27 Released
LLM-Gemini 0.27 — Google’s Gemini Models Plugin Update
The latest release of the LLM-Gemini plugin brings notable enhancements and expanded capabilities:
What’s New
- Nested schemas in Pydantic — Courtesy of Bill Pugh. PR #107
- Python 3.14 compatibility — Now fully tested.
- YouTube URL attachments — Includes the new `media_resolution` option. Thanks to Duane Milne. PR #112
- New model — `gemini-3-pro-preview`. Issue #113
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Highlight: YouTube URL Integration
This release leverages Gemini’s video understanding API, enabling LLMs to directly work with YouTube videos as input.
Example: Using the Google Antigravity launch video for transcript and notes:
llm -m gemini-3-pro-preview \
-a 'https://www.youtube.com/watch?v=nTOVIGsqCuY' \
'Summary, with detailed notes about what this thing is and how it differs from regular VS Code, then a complete detailed transcript with timestamps'📄 See the generated output — Timestamps match perfectly with the video’s key points.
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Why This Matters
Integrating LLM capabilities with rich media inputs opens new opportunities for:
- Developers
- Educators
- Content creators
You can generate summaries, transcripts, and multi-modal content directly from YouTube links, reducing manual effort and improving accessibility.
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Monetizing AI-Driven Content
Platforms like AiToEarn官网 help transform AI-generated outputs into multi-platform publishing strategies:
- Supported networks: Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X
- Integrated tools for:
- AI content distribution
- Performance analytics
- AI model ranking (AI模型排名)
By connecting content generation, distribution, and analytics under one ecosystem, AiToEarn enables creators to efficiently convert AI ideas into income streams.
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✅ Takeaway:
LLM-Gemini 0.27 isn’t just a backend upgrade — it’s a step toward multi-modal, monetizable AI workflows. The YouTube video attachment feature alone could change the way you produce and publish content.
