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.
3 KiB
3 KiB
Venice Video Retrieve
Retrieve and download queued videos from Venice.ai. Polls automatically until generation is complete, then saves the video to disk.
For a simpler all-in-one workflow, use venice-video-generate instead.
Features
- Automatic polling until video generation completes
- Handles both JSON status responses and binary video data
- Supports video URL download, base64 data URIs, and raw binary responses
- Configurable poll interval and timeout
- JSON output mode for scripting
- Optional server-side deletion after download
Prerequisites
pip install requests pydantic
export VENICE_API_KEY="your_venice_api_key"
Usage
Basic retrieval
python scripts/retrieve_video.py wan-2.5-preview-text-to-video abc123-queue-id
Save to specific path
python scripts/retrieve_video.py wan-2.5-preview-text-to-video abc123-queue-id \
--output /path/to/my_video.mp4
Custom polling settings
python scripts/retrieve_video.py wan-2.5-preview-text-to-video abc123-queue-id \
--interval 10 --max-wait 900
Quiet mode with JSON
python scripts/retrieve_video.py wan-2.5-preview-text-to-video abc123-queue-id --quiet --json
# Output: {"status": "completed", "path": "/root/venice_videos/video_1234567890.mp4"}
Options
| Option | Short | Default | Description |
|---|---|---|---|
model |
-- | (required) | Model used for generation |
queue_id |
-- | (required) | Queue ID from venice-video-queue |
--output |
-o |
auto | Output file path |
--interval |
-i |
5 |
Poll interval in seconds |
--max-wait |
-w |
600 |
Maximum wait time in seconds |
--delete-after |
-- | off | Delete from Venice servers after download |
--quiet |
-q |
off | Suppress progress output |
--json |
-- | off | JSON output |
Exit Codes
| Code | Meaning |
|---|---|
0 |
Success |
1 |
General error (API, network, etc.) |
2 |
Timeout -- generation took too long |
Python Import
from retrieve_video import retrieve_and_save, poll_until_complete
# Full workflow: poll and save
path = retrieve_and_save(
model="wan-2.5-preview-text-to-video",
queue_id="abc123-def456",
output_path="/path/to/video.mp4",
poll_interval=5,
max_wait=600
)
print(f"Saved to: {path}")
# Just poll (without saving)
result = poll_until_complete(
model="wan-2.5-preview-text-to-video",
queue_id="abc123-def456"
)
# Access result.video_data or result.video_url
Complete Two-Step Workflow
# Step 1: Queue
python ../venice-video-queue/scripts/queue_video.py "A cat playing piano" --json
# Output: {"model": "wan-2.5-preview-text-to-video", "queue_id": "abc123..."}
# Step 2: Retrieve
python scripts/retrieve_video.py wan-2.5-preview-text-to-video abc123...
Environment Variables
| Variable | Required | Description |
|---|---|---|
VENICE_API_KEY |
Yes | Venice.ai API key |