jae
7fe886fea5
Some checks are pending
CI / build-check-test (push) Waiting to run
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.
293 lines
9.4 KiB
Python
293 lines
9.4 KiB
Python
"""List Venice.ai Video Models
|
|
|
|
This instrument fetches and displays all available video generation models from Venice.ai API
|
|
with comprehensive specifications for each model including:
|
|
- Supported durations
|
|
- Valid resolutions
|
|
- Aspect ratios (if configurable)
|
|
- Audio capabilities (generation, input, configurable)
|
|
- Video input support
|
|
- Beta/offline status
|
|
|
|
This information is CRITICAL for video generation - each model has different valid
|
|
parameter combinations that must be respected.
|
|
|
|
Usage:
|
|
python list_video_models.py # List all models
|
|
python list_video_models.py --detailed # Show full specs for each model
|
|
python list_video_models.py --model <id> # Show specs for specific model
|
|
python list_video_models.py --json # Output as JSON
|
|
"""
|
|
|
|
import os
|
|
import sys
|
|
import json
|
|
import requests
|
|
from typing import Optional
|
|
from dataclasses import dataclass, field, asdict
|
|
|
|
|
|
@dataclass
|
|
class VideoModelSpec:
|
|
"""Complete specification for a video generation model."""
|
|
id: str
|
|
name: str
|
|
model_type: str # text-to-video, image-to-video, video
|
|
|
|
# Generation constraints
|
|
durations: list = field(default_factory=list)
|
|
resolutions: list = field(default_factory=list)
|
|
aspect_ratios: list = field(default_factory=list)
|
|
|
|
# Audio capabilities
|
|
audio: bool = False
|
|
audio_configurable: bool = False
|
|
audio_input: bool = False
|
|
|
|
# Input requirements
|
|
video_input: bool = False
|
|
requires_image: bool = False
|
|
|
|
# Status
|
|
beta: bool = False
|
|
offline: bool = False
|
|
privacy: str = "anonymized"
|
|
|
|
|
|
VENICE_API_URL = "https://api.venice.ai/api/v1/models"
|
|
VENICE_API_KEY = os.getenv("VENICE_API_KEY")
|
|
|
|
|
|
def fetch_video_models():
|
|
"""Fetch all video models from Venice.ai API."""
|
|
if not VENICE_API_KEY:
|
|
raise ValueError("VENICE_API_KEY environment variable not set")
|
|
|
|
headers = {
|
|
"Authorization": f"Bearer {VENICE_API_KEY}",
|
|
"Content-Type": "application/json"
|
|
}
|
|
|
|
response = requests.get(VENICE_API_URL, headers=headers, params={"type": "video"}, timeout=30)
|
|
response.raise_for_status()
|
|
|
|
data = response.json()
|
|
models = []
|
|
|
|
for item in data.get("data", []):
|
|
spec = item.get("model_spec", {})
|
|
constraints = spec.get("constraints", {})
|
|
model_type = constraints.get("model_type", "unknown")
|
|
|
|
models.append(VideoModelSpec(
|
|
id=item.get("id", ""),
|
|
name=spec.get("name", item.get("id", "Unknown")),
|
|
model_type=model_type,
|
|
durations=constraints.get("durations", []),
|
|
resolutions=constraints.get("resolutions", []),
|
|
aspect_ratios=constraints.get("aspect_ratios", []),
|
|
audio=constraints.get("audio", False),
|
|
audio_configurable=constraints.get("audio_configurable", False),
|
|
audio_input=constraints.get("audio_input", False),
|
|
video_input=constraints.get("video_input", False),
|
|
requires_image=(model_type == "image-to-video"),
|
|
beta=spec.get("beta", False),
|
|
offline=spec.get("offline", False),
|
|
privacy=spec.get("privacy", "anonymized")
|
|
))
|
|
|
|
return models
|
|
|
|
|
|
def format_summary_table(models):
|
|
"""Format models as summary table grouped by type."""
|
|
lines = []
|
|
|
|
by_type = {}
|
|
for m in models:
|
|
by_type.setdefault(m.model_type, []).append(m)
|
|
|
|
for mtype in ["text-to-video", "image-to-video", "video"]:
|
|
if mtype not in by_type:
|
|
continue
|
|
|
|
type_models = by_type[mtype]
|
|
lines.append("")
|
|
lines.append("=" * 115)
|
|
lines.append(f" {mtype.upper()} MODELS ({len(type_models)})")
|
|
lines.append("=" * 115)
|
|
lines.append("")
|
|
lines.append(f" {'Model ID':<40} {'Durations':<25} {'Res':<12} {'Audio':<12} {'Audio In'}")
|
|
lines.append(f" {'-'*40} {'-'*25} {'-'*12} {'-'*12} {'-'*10}")
|
|
|
|
for m in sorted(type_models, key=lambda x: x.name):
|
|
durations = ", ".join(m.durations) if m.durations else "N/A"
|
|
resolutions = ", ".join(m.resolutions) if m.resolutions else "default"
|
|
audio = "Yes" if m.audio else "No"
|
|
if m.audio_configurable:
|
|
audio += " (cfg)"
|
|
audio_in = "Yes" if m.audio_input else "No"
|
|
status = ""
|
|
if m.beta:
|
|
status = " [BETA]"
|
|
if m.offline:
|
|
status = " [OFFLINE]"
|
|
|
|
lines.append(f" {m.id:<40} {durations:<25} {resolutions:<12} {audio:<12} {audio_in}{status}")
|
|
|
|
return "\n".join(lines)
|
|
|
|
|
|
def format_detailed_spec(model):
|
|
"""Format detailed specs for a single model."""
|
|
lines = []
|
|
lines.append("")
|
|
lines.append("=" * 75)
|
|
lines.append(f" {model.name}")
|
|
lines.append(f" ID: {model.id}")
|
|
lines.append("=" * 75)
|
|
lines.append("")
|
|
lines.append(f" Type: {model.model_type}")
|
|
|
|
status = []
|
|
if model.beta:
|
|
status.append("BETA")
|
|
if model.offline:
|
|
status.append("OFFLINE")
|
|
if status:
|
|
lines.append(f" Status: {', '.join(status)}")
|
|
|
|
lines.append("")
|
|
lines.append(" GENERATION PARAMETERS:")
|
|
lines.append(" " + "-" * 40)
|
|
|
|
if model.durations:
|
|
lines.append(f" duration: {' | '.join(model.durations)}")
|
|
else:
|
|
lines.append(f" duration: (not configurable)")
|
|
|
|
if model.resolutions:
|
|
lines.append(f" resolution: {' | '.join(model.resolutions)}")
|
|
else:
|
|
lines.append(f" resolution: (model default)")
|
|
|
|
if model.aspect_ratios:
|
|
lines.append(f" aspect_ratio: {' | '.join(model.aspect_ratios)}")
|
|
else:
|
|
lines.append(f" aspect_ratio: (NOT SUPPORTED - do not include in request)")
|
|
|
|
lines.append("")
|
|
lines.append(" AUDIO CAPABILITIES:")
|
|
lines.append(" " + "-" * 40)
|
|
lines.append(f" audio: {'Yes - generates audio' if model.audio else 'No'}")
|
|
lines.append(f" audio_configurable: {'Yes - can toggle on/off' if model.audio_configurable else 'No'}")
|
|
lines.append(f" audio_input: {'Yes - accepts audio' if model.audio_input else 'No'}")
|
|
|
|
lines.append("")
|
|
lines.append(" INPUT REQUIREMENTS:")
|
|
lines.append(" " + "-" * 40)
|
|
if model.model_type == "text-to-video":
|
|
lines.append(f" prompt: Required (text description)")
|
|
lines.append(f" image_url: Not used")
|
|
elif model.model_type == "image-to-video":
|
|
lines.append(f" prompt: Required (text description)")
|
|
lines.append(f" image_url: REQUIRED (base64 data URL or HTTP URL)")
|
|
elif model.model_type == "video":
|
|
lines.append(f" prompt: Required (text description)")
|
|
lines.append(f" video_url: {'Required' if model.video_input else 'Optional'}")
|
|
|
|
return "\n".join(lines)
|
|
|
|
|
|
def format_generation_example(model):
|
|
"""Generate example API call for this model."""
|
|
example = {
|
|
"model": model.id,
|
|
"prompt": "Your detailed prompt here"
|
|
}
|
|
|
|
if model.durations:
|
|
example["duration"] = model.durations[0]
|
|
|
|
if model.resolutions:
|
|
example["resolution"] = model.resolutions[0]
|
|
|
|
if model.aspect_ratios:
|
|
example["aspect_ratio"] = model.aspect_ratios[0]
|
|
|
|
if model.audio_configurable:
|
|
example["audio"] = True
|
|
|
|
if model.model_type == "image-to-video":
|
|
example["image_url"] = "data:image/jpeg;base64,... OR https://..."
|
|
|
|
return json.dumps(example, indent=2)
|
|
|
|
|
|
def output_json(models):
|
|
"""Output all models as JSON."""
|
|
return json.dumps([asdict(m) for m in models], indent=2)
|
|
|
|
|
|
def main():
|
|
args = sys.argv[1:]
|
|
|
|
print("Fetching Venice.ai video models...")
|
|
print()
|
|
|
|
try:
|
|
models = fetch_video_models()
|
|
|
|
if "--json" in args:
|
|
print(output_json(models))
|
|
return
|
|
|
|
if "--model" in args:
|
|
idx = args.index("--model")
|
|
if idx + 1 < len(args):
|
|
model_id = args[idx + 1]
|
|
matching = [m for m in models if m.id == model_id or model_id in m.id]
|
|
if matching:
|
|
for m in matching:
|
|
print(format_detailed_spec(m))
|
|
print("\n EXAMPLE API REQUEST:")
|
|
print(" " + "-" * 40)
|
|
for line in format_generation_example(m).split("\n"):
|
|
print(f" {line}")
|
|
else:
|
|
print(f"No model found matching: {model_id}")
|
|
return
|
|
|
|
if "--detailed" in args:
|
|
for m in models:
|
|
print(format_detailed_spec(m))
|
|
return
|
|
|
|
print(f"Total video models available: {len(models)}")
|
|
print(format_summary_table(models))
|
|
|
|
print()
|
|
print("=" * 100)
|
|
print(" USAGE")
|
|
print("=" * 100)
|
|
print("""
|
|
--model <id> Show detailed specs for a specific model
|
|
--detailed Show specs for all models
|
|
--json Output as JSON
|
|
|
|
CRITICAL FOR VIDEO GENERATION:
|
|
* Each model has specific valid durations - use ONLY listed values
|
|
* aspect_ratio: ONLY include if model lists them (otherwise causes 400 errors)
|
|
* audio: check audio_configurable before including
|
|
* image-to-video models REQUIRE image_url parameter
|
|
""")
|
|
|
|
except Exception as e:
|
|
print(f"Error: {e}")
|
|
import traceback
|
|
traceback.print_exc()
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|