Agent-JAE/default-skills/venice-list-image-models/README.md
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feat: add 11 Venice AI skills as bundled defaults
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.
2026-03-23 18:46:23 +01:00

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# Venice List Image Models
List all available image generation models from the [Venice.ai](https://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
```bash
pip install requests pydantic
export VENICE_API_KEY="your_venice_api_key"
```
## Usage
```bash
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
```python
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 |