AI Provider Configuration

AI Scene Organizer relies on external Large Language Models (LLMs) to perform semantic scene analysis, atmospheric styling, and automatic grouping. You can configure multiple active providers based on your budget and network access.

Select a provider guide below to set up your credentials:

Supported Backends

🟢 Google Gemini (Recommended)

  • Advantages: Free tier available, high rate limits, extremely fast latency (under 1 second), and excellent structural JSON output.
  • Best For: Daily usage, test scenes, rapid scaffolding.

🔵 OpenAI Platform

  • Advantages: Outstanding structural coherence, standard API reliability, and industry-standard models (e.g. gpt-4o-mini, gpt-4o).
  • Best For: Enterprise teams, highly complex nested hierarchies.

🟠 Anthropic Claude

  • Advantages: Top-tier instruction following, complex layout reasoning, and great nested depth handling.
  • Best For: Large-scale production environments and complicated scene trees.

✕ xAI Grok

  • Advantages: High performance, strict adherence to formatting templates, and unique naming heuristics.
  • Best For: Creative scene layout generation and clean naming.

🟣 OpenRouter Gateway

  • Advantages: Single API key to access hundreds of open-source models (including free models like Meta Llama 3, Qwen, and Mistral).
  • Best For: Regions where Gemini or OpenAI are geo-blocked, developers wanting to experiment with diverse model classes.

⬡ Ollama (Local/Offline)

  • Advantages: Fully local and private execution, zero API call costs, offline support, and compatibility with open-weights models (like Llama 3).
  • Best For: Offline developers, local testing, privacy-focused workflows.

💾 Local Offline Mock

  • Advantages: Built-in simulator, instantaneous response (under 0.05s), requires no API key, endpoint configuration, or internet connection.
  • Best For: Rapid debugging and evaluating UI workflows.

🎨 Custom Prompts & System Roles

Learn how to modify the prompt templates, custom instruct text, context modifiers, and temperature parameters to enforce your team’s specific hierarchy guidelines.

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