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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.
2.1 KiB
2.1 KiB
Venice List Text Models
List all available text/LLM models from the Venice.ai API with context windows, pricing, capabilities, and traits.
Features
- Lists all available LLM/text models
- Shows context window sizes, input/output pricing per million tokens
- Displays capabilities (vision, reasoning, function calling, code optimization, web search)
- Filter by trait (e.g.,
most_intelligent,default,most_uncensored) - Capabilities summary across all models
- Structured Pydantic models for programmatic use
Prerequisites
pip install requests pydantic
export VENICE_API_KEY="your_venice_api_key"
Usage
List all models
python scripts/list_text_models.py
Filter by trait
python scripts/list_text_models.py most_intelligent
python scripts/list_text_models.py default
Output
Displays a formatted table sorted by context window size:
Model ID Name Context In $/M Out $/M Traits
------------------------------------------------------------------------------------------------------------------------
qwen3-235b-a22b-thinking-2507 Qwen3 235B Thinking 250K 0.50 2.00 most_intelligent
...
Plus capabilities summary:
=== Capabilities Summary ===
total: 15
with_reasoning: 4
with_vision: 6
with_function_calling: 8
with_web_search: 10
optimized_for_code: 3
Python Import
from list_text_models import list_text_models, get_capabilities_summary
# All models
models = list_text_models()
# Filtered by trait
intelligent = list_text_models(filter_trait="most_intelligent")
# Capabilities summary
summary = get_capabilities_summary(models)
print(f"Models with vision: {summary['with_vision']}")
# Access individual models
for m in models.data:
cap = m.model_spec.capabilities
print(f"{m.id}: vision={cap.supportsVision}, reasoning={cap.supportsReasoning}")
Environment Variables
| Variable | Required | Description |
|---|---|---|
VENICE_API_KEY |
Yes | Venice.ai API key |