jae
c42cd9a062
Skills included: - venice-chat: Chat with Venice LLM models, vision, reasoning - venice-chat-benchmark: Benchmark chat models with infographics - venice-image-gen: Generate images via Venice API - venice-list-image-models: List available image models - venice-list-text-models: List available text models - venice-list-video-models: List available video models - venice-tts: Text-to-speech via Venice API - venice-video-generate: Generate videos from text/images - venice-video-queue: Queue video generation jobs - venice-video-quote: Get video generation cost quotes - venice-video-retrieve: Retrieve completed videos All rebranded from Agent Zero paths to Agent JAE (~/.jae/agent/skills/). Requires VENICE_API_KEY environment variable. |
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| .. | ||
| scripts | ||
| README.md | ||
| SKILL.md | ||
Venice List Image Models
List all available image generation models from the Venice.ai API with pricing, constraints, and capabilities.
Features
- Lists all available image generation models
- Shows per-generation and upscale pricing (USD)
- Displays constraints (steps, prompt character limits, resolutions)
- Summary statistics (price range, averages)
- Structured Pydantic models for programmatic use
Prerequisites
pip install requests pydantic
export VENICE_API_KEY="your_venice_api_key"
Usage
python scripts/list_image_models.py
Output
Displays a formatted table:
Model ID Name Gen $ 2x Up $ 4x Up $ Steps Prompt Limit
-------------------------------------------------------------------------------------------------------------------
nano-banana-2 Nano Banana 2 0.01 0.02 0.04 30/50 1500
...
Plus summary statistics:
=== Summary ===
Total models: 8
Price range: $0.01 - $0.05
Average price: $0.025
Python Import
from list_image_models import list_image_models, format_models_table, get_models_summary
models = list_image_models()
# Formatted table
print(format_models_table(models))
# Summary stats
summary = get_models_summary(models)
print(f"Total: {summary['total_models']}, cheapest: ${summary['min_price']:.2f}")
# Access individual models
for m in models.data:
print(f"{m.id}: {m.model_spec.name}")
Environment Variables
| Variable | Required | Description |
|---|---|---|
VENICE_API_KEY |
Yes | Venice.ai API key |