venice-ai
Complete 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.
Why use this skill?
Integrate the private, uncensored Venice AI platform into OpenClaw. Access text, image, video, and audio models with zero data retention and no filtering.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jonisjongithub/venice-aiWhat This Skill Does
The venice-ai skill provides an all-encompassing gateway to the Venice AI platform, designed for users prioritizing privacy and uncensored performance. By integrating directly into your OpenClaw environment, this skill acts as a drop-in replacement for standard LLM interfaces, offering access to over 30 top-tier models including cutting-edge text generation, embeddings, and multimodal capabilities like image, video, and audio synthesis. Unlike mainstream providers, Venice guarantees zero data retention on private models and removes artificial guardrails, allowing for unrestricted creative fiction, technical research, and complex workflows that typical AI platforms might reject. The skill manages authentication and model selection, providing an OpenAI-compatible API layer that simplifies complex tasks like web-assisted LLM inference, speech-to-text transcription, and advanced AI image editing.
Installation
Installation is streamlined via the ClawHub repository. Execute the following command in your terminal to fetch the latest version:
clawhub install openclaw/skills/skills/jonisjongithub/venice-ai
Once installed, you must provide your Venice API key via your ~/.clawdbot/clawdbot.json configuration file under the environment variables section for the venice-ai entry. Ensure you have Python 3.10 or higher installed, as the internal scripts rely on modern asynchronous features. Verify your connectivity by running python3 {baseDir}/scripts/venice.py models --type text to confirm the client can successfully authenticate and list available models.
Use Cases
This skill is perfect for developers building autonomous agents that need to process sensitive information without worrying about provider training logs. It is also ideal for content creators requiring high-fidelity image and video generation without restrictive safety filters. Researchers use it for uncensored data analysis and web-grounded querying, while accessibility-focused applications leverage the TTS and STT functionality for robust speech workflows.
Example Prompts
- "Use the venice-ai skill to search the web for the latest advancements in quantum computing and summarize them in a technical report."
- "Generate an image of a cybernetic cityscape using the Flux model through the venice-ai image script."
- "Transcribe the audio file located at ./meeting.wav into a clean text document using the Venice speech-to-text capability."
Tips & Limitations
Always check the official documentation at docs.venice.ai for the latest model identifiers, as the catalog updates frequently. Note that while Venice is uncensored, users are still responsible for complying with the local laws and platform terms of service. For high-volume tasks, ensure your network connection is stable, as heavy image and video generation may result in longer wait times for API responses.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jonisjongithub-venice-ai": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api