Privacy-First Inference
Venice AI
Venice is the privacy-first path that OpenClaw highlights most strongly. It can provide both fully private open-model inference and anonymous proxy access to proprietary models such as Claude, GPT and Gemini.
Two Privacy Levels
Private models
Prompts and replies are not logged or persisted, making this a strong route for privacy-sensitive open-model inference.
Anonymous proxy models
Use Venice as a privacy layer in front of Claude, GPT, Gemini and other proprietary models so the underlying provider only sees anonymized requests.
Setup Methods
Interactive setup
openclaw onboard --auth-choice venice-api-keyEnvironment variable
export VENICE_API_KEY="vapi_xxxxxxxxxxxx"Switch the default model
openclaw models set venice/claude-opus-45
openclaw models set venice/llama-3.3-70bModel Selection Guidance
Balanced general chat and cost: venice/llama-3.3-70b
Best overall quality: venice/claude-opus-45
Coding: venice/qwen3-coder-480b-a35b-instruct
Vision: venice/qwen3-vl-235b-a22b