Venice AI

Venice AI provides privacy-focused AI inference with support for uncensored models and access to major proprietary models through their anonymized proxy. All inference is private by default — no training on your data, no logging.

Why Venice in OpenClaw

• Private inference for open-source models (no logging).
• Uncensored models when you need them.
• Anonymized access to proprietary models (Opus/GPT/Gemini) when quality matters.
• OpenAI-compatible
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  endpoints.

Privacy modes

Venice offers two privacy levels — understanding this is key to choosing your model:

Features

• Privacy-focused: Choose between "private" (fully private) and "anonymized" (proxied) modes
• Uncensored models: Access to models without content restrictions
• Major model access: Use Claude, GPT, Gemini, and Grok via Venice's anonymized proxy
• OpenAI-compatible API: Standard
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  endpoints for easy integration
• Streaming: Supported on all models
• Function calling: Supported on select models (check model capabilities)
• Vision: Supported on models with vision capability
• No hard rate limits: Fair-use throttling may apply for extreme usage

Getting started

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<Tabs>
  <Tab title="Interactive (recommended)">
    ```bash}
    openclaw onboard --auth-choice venice-api-key
    ```

    This will:

    1. Prompt for your API key (or use existing `VENICE_API_KEY`)
    2. Show all available Venice models
    3. Let you pick your default model
    4. Configure the provider automatically
  </Tab>

  <Tab title="Environment variable">
    ```bash}
    export VENICE_API_KEY="vapi_xxxxxxxxxxxx"
    ```
  </Tab>

  <Tab title="Non-interactive">
    ```bash}
    openclaw onboard --non-interactive \
      --auth-choice venice-api-key \
      --venice-api-key "vapi_xxxxxxxxxxxx"
    ```
  </Tab>
</Tabs>

Model selection

After setup, OpenClaw shows all available Venice models. Pick based on your needs:

• Default model:
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  venice/kimi-k2-5
  for strong private reasoning plus vision.
• High-capability option:
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  venice/claude-opus-4-6
  for the strongest anonymized Venice path.
• Privacy: Choose "private" models for fully private inference.
• Capability: Choose "anonymized" models to access Claude, GPT, Gemini via Venice's proxy.

Change your default model anytime:

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openclaw models set venice/kimi-k2-5
openclaw models set venice/claude-opus-4-6

List all available models:

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openclaw models list | grep venice

You can also run

DeepSeek V4 replay behavior

If Venice exposes DeepSeek V4 models such as

Built-in catalog (41 total)

Model discovery

OpenClaw automatically discovers models from the Venice API when

The

Streaming and tool support

Pricing

Venice uses a credit-based system. Check venice.ai/pricing for current rates:

• Private models: Generally lower cost
• Anonymized models: Similar to direct API pricing + small Venice fee

Venice (anonymized) vs direct API

Usage examples

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# Use the default private model
openclaw agent --model venice/kimi-k2-5 --message "Quick health check"

# Use Claude Opus via Venice (anonymized)
openclaw agent --model venice/claude-opus-4-6 --message "Summarize this task"

# Use uncensored model
openclaw agent --model venice/venice-uncensored --message "Draft options"

# Use vision model with image
openclaw agent --model venice/qwen3-vl-235b-a22b --message "Review attached image"

# Use coding model
openclaw agent --model venice/qwen3-coder-480b-a35b-instruct --message "Refactor this function"

Troubleshooting

Advanced configuration

Related