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