venice-aiComplete Venice AI platform — text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing. Private, uncensored AI inference for everything.
Install via ClawdBot CLI:
clawdbot install jonisjongithub/venice-aiVenice AI is the AI platform for people who don't want Big Tech watching over their shoulder. Unlike OpenAI, Anthropic, and Google — where every prompt is logged, analyzed, and potentially used to train future models — Venice offers true privacy with zero data retention on private models. Your conversations stay yours.
Venice is also uncensored: no content filters, no refusals, no "I can't help with that." The AI answers what you actually ask, whether that's creative fiction, security research, controversial topics, or anything else mainstream AI platforms won't touch.
Why agents should care:
This skill gives you the complete Venice platform: text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing.
⚠️ API changes: If something doesn't work as expected, check docs.venice.ai — the API specs may have been updated since this skill was written.
vn_...)Option A: Environment variable
export VENICE_API_KEY="vn_your_key_here"Option B: Clawdbot config (recommended)
// ~/.clawdbot/clawdbot.json
{
skills: {
entries: {
"venice-ai": {
env: { VENICE_API_KEY: "vn_your_key_here" }
}
}
}
}python3 {baseDir}/scripts/venice.py models --type text| Script | Purpose |
|--------|---------|
| venice.py | Text generation, models, embeddings, TTS, transcription |
| venice-image.py | Image generation (Flux, etc.) |
| venice-video.py | Video generation (Sora, WAN, Runway) |
| venice-upscale.py | Image upscaling |
| venice-edit.py | AI image editing |
Venice has a huge model catalog spanning text, image, video, audio, and embeddings.
# List all text models
python3 {baseDir}/scripts/venice.py models --type text
# List image models
python3 {baseDir}/scripts/venice.py models --type image
# List all model types
python3 {baseDir}/scripts/venice.py models --type text,image,video,audio,embedding
# Get details on a specific model
python3 {baseDir}/scripts/venice.py models --filter llama| Need | Recommended Model | Why |
|------|------------------|-----|
| Cheapest text | qwen3-4b ($0.05/M in) | Tiny, fast, efficient |
| Best uncensored | venice-uncensored ($0.20/M in) | Venice's own uncensored model |
| Best private + smart | deepseek-v3.2 ($0.40/M in) | Great reasoning, efficient |
| Vision/multimodal | qwen3-vl-235b-a22b ($0.25/M in) | Sees images |
| Best coding | qwen3-coder-480b-a35b-instruct ($0.75/M in) | Massive coder model |
| Frontier (budget) | grok-41-fast ($0.50/M in) | Fast, 262K context |
| Frontier (max quality) | claude-opus-4-6 ($6/M in) | Best overall quality |
| Reasoning | kimi-k2-5 ($0.75/M in) | Strong chain-of-thought |
| Web search | Any model + enable_web_search | Built-in web search |
# Simple prompt
python3 {baseDir}/scripts/venice.py chat "What is the meaning of life?"
# Choose a model
python3 {baseDir}/scripts/venice.py chat "Explain quantum computing" --model deepseek-v3.2
# System prompt
python3 {baseDir}/scripts/venice.py chat "Review this code" --system "You are a senior engineer."
# Read from stdin
echo "Summarize this" | python3 {baseDir}/scripts/venice.py chat --model qwen3-4b
# Stream output
python3 {baseDir}/scripts/venice.py chat "Write a story" --stream# Auto web search (model decides when to search)
python3 {baseDir}/scripts/venice.py chat "What happened in tech news today?" --web-search auto
# Force web search with citations
python3 {baseDir}/scripts/venice.py chat "Current Bitcoin price" --web-search on --web-citations
# Web scraping (extracts content from URLs in prompt)
python3 {baseDir}/scripts/venice.py chat "Summarize: https://example.com/article" --web-scrape# Use Venice's own uncensored model
python3 {baseDir}/scripts/venice.py chat "Your question" --model venice-uncensored
# Disable Venice system prompts for raw model output
python3 {baseDir}/scripts/venice.py chat "Your prompt" --no-venice-system-prompt# Use a reasoning model with effort control
python3 {baseDir}/scripts/venice.py chat "Solve this math problem..." --model kimi-k2-5 --reasoning-effort high
# Strip thinking from output
python3 {baseDir}/scripts/venice.py chat "Debug this code" --model qwen3-4b --strip-thinking# Temperature and token control
python3 {baseDir}/scripts/venice.py chat "Be creative" --temperature 1.2 --max-tokens 4000
# JSON output mode
python3 {baseDir}/scripts/venice.py chat "List 5 colors as JSON" --json
# Prompt caching (for repeated context)
python3 {baseDir}/scripts/venice.py chat "Question" --cache-key my-session-123
# Show usage stats
python3 {baseDir}/scripts/venice.py chat "Hello" --show-usageGenerate vector embeddings for semantic search, RAG, and recommendations:
# Single text
python3 {baseDir}/scripts/venice.py embed "Venice is a private AI platform"
# Multiple texts (batch)
python3 {baseDir}/scripts/venice.py embed "first text" "second text" "third text"
# From file (one text per line)
python3 {baseDir}/scripts/venice.py embed --file texts.txt
# Output as JSON
python3 {baseDir}/scripts/venice.py embed "some text" --output jsonModel: text-embedding-bge-m3 (private, $0.15/M tokens)
Convert text to speech with 60+ multilingual voices:
# Default voice
python3 {baseDir}/scripts/venice.py tts "Hello, welcome to Venice AI"
# Choose a voice
python3 {baseDir}/scripts/venice.py tts "Exciting news!" --voice af_nova
# List available voices
python3 {baseDir}/scripts/venice.py tts --list-voices
# Custom output path
python3 {baseDir}/scripts/venice.py tts "Some text" --output /tmp/speech.mp3
# Adjust speed
python3 {baseDir}/scripts/venice.py tts "Speaking slowly" --speed 0.8Popular voices: af_sky, af_nova, am_liam, bf_emma, zf_xiaobei (Chinese), jm_kumo (Japanese)
Model: tts-kokoro (private, $3.50/M characters)
Transcribe audio files to text:
# Transcribe a file
python3 {baseDir}/scripts/venice.py transcribe audio.wav
# With timestamps
python3 {baseDir}/scripts/venice.py transcribe recording.mp3 --timestamps
# From URL
python3 {baseDir}/scripts/venice.py transcribe --url https://example.com/audio.wavSupported formats: WAV, FLAC, MP3, M4A, AAC, MP4
Model: nvidia/parakeet-tdt-0.6b-v3 (private, $0.0001/audio second)
python3 {baseDir}/scripts/venice.py balance| Feature | Cost |
|---------|------|
| Image generation | ~$0.01-0.03 per image |
| Image upscale | ~$0.02-0.04 |
| Image edit | $0.04 |
| Video (WAN) | ~$0.10-0.50 |
| Video (Sora) | ~$0.50-2.00 |
| Video (Runway) | ~$0.20-1.00 |
Use --quote with video commands to check pricing before generation.
# Basic generation
python3 {baseDir}/scripts/venice-image.py --prompt "a serene canal in Venice at sunset"
# Multiple images
python3 {baseDir}/scripts/venice-image.py --prompt "cyberpunk city" --count 4
# Custom dimensions
python3 {baseDir}/scripts/venice-image.py --prompt "portrait" --width 768 --height 1024
# List available models and styles
python3 {baseDir}/scripts/venice-image.py --list-models
python3 {baseDir}/scripts/venice-image.py --list-styles
# Use specific model and style
python3 {baseDir}/scripts/venice-image.py --prompt "fantasy" --model flux-2-pro --style-preset "Cinematic"
# Reproducible results with seed
python3 {baseDir}/scripts/venice-image.py --prompt "abstract" --seed 12345Key flags: --prompt, --model (default: flux-2-max), --count, --width, --height, --format (webp/png/jpeg), --resolution (1K/2K/4K), --aspect-ratio, --negative-prompt, --style-preset, --cfg-scale (0-20), --seed, --safe-mode, --hide-watermark, --embed-exif
# 2x upscale
python3 {baseDir}/scripts/venice-upscale.py photo.jpg --scale 2
# 4x with AI enhancement
python3 {baseDir}/scripts/venice-upscale.py photo.jpg --scale 4 --enhance
# Enhanced with custom prompt
python3 {baseDir}/scripts/venice-upscale.py photo.jpg --enhance --enhance-prompt "sharpen details"
# From URL
python3 {baseDir}/scripts/venice-upscale.py --url "https://example.com/image.jpg" --scale 2Key flags: --scale (1-4, default: 2), --enhance (AI enhancement), --enhance-prompt, --enhance-creativity (0.0-1.0), --url, --output
AI-powered image editing:
# Add elements
python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "add sunglasses"
# Modify scene
python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "change the sky to sunset"
# Remove objects
python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "remove the person in background"
# From URL
python3 {baseDir}/scripts/venice-edit.py --url "https://example.com/image.jpg" --prompt "colorize"Note: The edit endpoint uses Qwen-Image which has some content restrictions.
# Get price quote first
python3 {baseDir}/scripts/venice-video.py --quote --model wan-2.6-image-to-video --duration 10s
# Image-to-video (WAN - default)
python3 {baseDir}/scripts/venice-video.py --image photo.jpg --prompt "camera pans slowly" --duration 10s
# Image-to-video (Sora)
python3 {baseDir}/scripts/venice-video.py --image photo.jpg --prompt "cinematic" \
--model sora-2-image-to-video --duration 8s --aspect-ratio 16:9 --skip-audio-param
# Video-to-video (Runway Gen4)
python3 {baseDir}/scripts/venice-video.py --video input.mp4 --prompt "anime style" \
--model runway-gen4-turbo-v2v
# List models with available durations
python3 {baseDir}/scripts/venice-video.py --list-modelsKey flags: --image or --video, --prompt, --model (default: wan-2.6-image-to-video), --duration, --resolution (480p/720p/1080p), --aspect-ratio, --audio/--no-audio, --quote, --timeout
Models:
--aspect-ratio, use --skip-audio-paramUse --web-search on --web-citations to build a research workflow. Venice searches the web, synthesizes results, and cites sources — all in one API call.
Venice's uncensored models work for both text AND images. No guardrails blocking legitimate creative use cases.
If you're running an agent loop that sends the same system prompt repeatedly, use --cache-key to get up to 90% cost savings.
Combine TTS and transcription: generate spoken content with tts, process audio with transcribe. Both are private inference.
--quote to estimate video cost| Problem | Solution |
|---------|----------|
| VENICE_API_KEY not set | Set env var or configure in ~/.clawdbot/clawdbot.json |
| Invalid API key | Verify at venice.ai/settings/api |
| Model not found | Run --list-models to see available; use --no-validate for new models |
| Rate limited | Check --show-usage output |
| Video stuck | Videos can take 1-5 min; use --timeout 600 for long ones |
Generated Mar 1, 2026
Law firms can use Venice AI's private models to analyze sensitive client documents, contracts, and case files without data retention risks, ensuring confidentiality while leveraging AI for summarization and legal research.
Media companies and independent creators can generate unrestricted creative content, such as scripts, articles, or marketing copy, for niche or controversial topics that mainstream AI platforms might censor, enabling diverse storytelling.
Healthcare providers can process patient records, medical notes, and research data with Venice AI's private inference to maintain HIPAA compliance, using AI for diagnostics support or administrative automation without data leaks.
Cybersecurity professionals can simulate attacks, analyze malware, or explore vulnerabilities using uncensored AI responses, facilitating thorough security assessments without guardrails that might block legitimate research queries.
Marketing agencies can leverage Venice AI's integrated text, image, and video generation to create cohesive campaigns from prompts, using web search for real-time data and uncensored models for edgy or innovative content.
Offer Venice AI's OpenAI-compatible API as a drop-in replacement for developers seeking privacy and uncensored capabilities, charging subscription fees based on usage tiers or providing white-label solutions for custom AI applications.
Provide consulting to businesses integrating Venice AI into their workflows, focusing on setup, model selection, and custom script development for text, image, or video tasks, with revenue from project-based fees or retainer contracts.
Build a platform that uses Venice AI's uncensored and multimodal features to generate articles, images, and videos for clients in industries like gaming or adult entertainment, monetizing through content sales or platform subscriptions.
💬 Integration Tip
Start by setting up the API key via environment variables or Clawdbot config, then test with simple text generation scripts before exploring advanced features like web search or video creation.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Gemini CLI for one-shot Q&A, summaries, and generation.
Research any topic from the last 30 days on Reddit + X + Web, synthesize findings, and write copy-paste-ready prompts. Use when the user wants recent social/web research on a topic, asks "what are people saying about X", or wants to learn current best practices. Requires OPENAI_API_KEY and/or XAI_API_KEY for full Reddit+X access, falls back to web search.
Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.