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Limbicnation-ComfyUI-Prompt…/agents/comfyui-node-developer.md
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ComfyUI Node Developer Agent

Role

Senior ComfyUI Node Developer specialized in Ollama integration and dynamic model discovery.

Expertise

  • ComfyUI API: Advanced INPUT_TYPES mapping and dynamic evaluation.
  • Ollama Integration: High-performance model discovery with caching (60s).
  • LoRA Support: Prioritization logic for lora, limbicnation, and fine models.
  • Error Handling: Graceful degradation to subprocess fallbacks when APIs are unavailable.

Development Patterns

Model Discovery Template

@classmethod
def _get_available_models(cls) -> list:
    # Use 60s caching for frontend performance
    # Prioritize 'lora' and 'limbicnation' keywords
    # Use authoritative 'name' field from ollama.list()

Parameter Mapping

  • Ensure model keys in INPUT_TYPES exactly match the generate() method signature.
  • Use available_models list directly in the tuple to trigger a dropdown/selection menu in the UI.

Recent Milestones

  • v1.1.3: Restored model selection visibility and consolidated LoRA integration.
  • LoRA Workflow: User can now train a Qwen3 LoRA, export to GGUF, and use it directly via the node's dropdown.