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.Documentation Index
Fetch the complete documentation index at: https://docs.openclaw.ai/llms.txt
Use this file to discover all available pages before exploring further.
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
/v1endpoints.
Privacy modes
Venice offers two privacy levels — understanding this is key to choosing your model:| Mode | Description | Models |
|---|---|---|
| Private | Fully private. Prompts/responses are never stored or logged. Ephemeral. | Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc. |
| Anonymized | Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic, Google, xAI) sees anonymized requests. | Claude, GPT, Gemini, Grok |
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
/v1endpoints 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
Get your API key
- Sign up at venice.ai
- Go to Settings > API Keys > Create new key
- Copy your API key (format:
vapi_xxxxxxxxxxxx)
Configure OpenClaw
Choose your preferred setup method:This will:
- Interactive (recommended)
- Environment variable
- Non-interactive
- Prompt for your API key (or use existing
VENICE_API_KEY) - Show all available Venice models
- Let you pick your default model
- Configure the provider automatically
Model selection
After setup, OpenClaw shows all available Venice models. Pick based on your needs:- Default model:
venice/kimi-k2-5for strong private reasoning plus vision. - High-capability option:
venice/claude-opus-4-6for 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.
openclaw configure, select Model/auth, and choose Venice AI.
DeepSeek V4 replay behavior
If Venice exposes DeepSeek V4 models such asvenice/deepseek-v4-pro or
venice/deepseek-v4-flash, OpenClaw fills the required DeepSeek V4
reasoning_content replay placeholder on assistant messages when the proxy
omits it. Venice rejects DeepSeek’s native top-level thinking control, so
OpenClaw keeps that provider-specific replay fix separate from the native
DeepSeek provider’s thinking controls.
Built-in catalog (41 total)
Private models (26) — fully private, no logging
Private models (26) — fully private, no logging
| Model ID | Name | Context | Features |
|---|---|---|---|
kimi-k2-5 | Kimi K2.5 | 256k | Default, reasoning, vision |
kimi-k2-thinking | Kimi K2 Thinking | 256k | Reasoning |
llama-3.3-70b | Llama 3.3 70B | 128k | General |
llama-3.2-3b | Llama 3.2 3B | 128k | General |
hermes-3-llama-3.1-405b | Hermes 3 Llama 3.1 405B | 128k | General, tools disabled |
qwen3-235b-a22b-thinking-2507 | Qwen3 235B Thinking | 128k | Reasoning |
qwen3-235b-a22b-instruct-2507 | Qwen3 235B Instruct | 128k | General |
qwen3-coder-480b-a35b-instruct | Qwen3 Coder 480B | 256k | Coding |
qwen3-coder-480b-a35b-instruct-turbo | Qwen3 Coder 480B Turbo | 256k | Coding |
qwen3-5-35b-a3b | Qwen3.5 35B A3B | 256k | Reasoning, vision |
qwen3-next-80b | Qwen3 Next 80B | 256k | General |
qwen3-vl-235b-a22b | Qwen3 VL 235B (Vision) | 256k | Vision |
qwen3-4b | Venice Small (Qwen3 4B) | 32k | Fast, reasoning |
deepseek-v3.2 | DeepSeek V3.2 | 160k | Reasoning, tools disabled |
venice-uncensored | Venice Uncensored (Dolphin-Mistral) | 32k | Uncensored, tools disabled |
mistral-31-24b | Venice Medium (Mistral) | 128k | Vision |
google-gemma-3-27b-it | Google Gemma 3 27B Instruct | 198k | Vision |
openai-gpt-oss-120b | OpenAI GPT OSS 120B | 128k | General |
nvidia-nemotron-3-nano-30b-a3b | NVIDIA Nemotron 3 Nano 30B | 128k | General |
olafangensan-glm-4.7-flash-heretic | GLM 4.7 Flash Heretic | 128k | Reasoning |
zai-org-glm-4.6 | GLM 4.6 | 198k | General |
zai-org-glm-4.7 | GLM 4.7 | 198k | Reasoning |
zai-org-glm-4.7-flash | GLM 4.7 Flash | 128k | Reasoning |
zai-org-glm-5 | GLM 5 | 198k | Reasoning |
minimax-m21 | MiniMax M2.1 | 198k | Reasoning |
minimax-m25 | MiniMax M2.5 | 198k | Reasoning |
Anonymized models (15) — via Venice proxy
Anonymized models (15) — via Venice proxy
| Model ID | Name | Context | Features |
|---|---|---|---|
claude-opus-4-6 | Claude Opus 4.6 (via Venice) | 1M | Reasoning, vision |
claude-opus-4-5 | Claude Opus 4.5 (via Venice) | 198k | Reasoning, vision |
claude-sonnet-4-6 | Claude Sonnet 4.6 (via Venice) | 1M | Reasoning, vision |
claude-sonnet-4-5 | Claude Sonnet 4.5 (via Venice) | 198k | Reasoning, vision |
openai-gpt-54 | GPT-5.4 (via Venice) | 1M | Reasoning, vision |
openai-gpt-53-codex | GPT-5.3 Codex (via Venice) | 400k | Reasoning, vision, coding |
openai-gpt-52 | GPT-5.2 (via Venice) | 256k | Reasoning |
openai-gpt-52-codex | GPT-5.2 Codex (via Venice) | 256k | Reasoning, vision, coding |
openai-gpt-4o-2024-11-20 | GPT-4o (via Venice) | 128k | Vision |
openai-gpt-4o-mini-2024-07-18 | GPT-4o Mini (via Venice) | 128k | Vision |
gemini-3-1-pro-preview | Gemini 3.1 Pro (via Venice) | 1M | Reasoning, vision |
gemini-3-pro-preview | Gemini 3 Pro (via Venice) | 198k | Reasoning, vision |
gemini-3-flash-preview | Gemini 3 Flash (via Venice) | 256k | Reasoning, vision |
grok-41-fast | Grok 4.1 Fast (via Venice) | 1M | Reasoning, vision |
grok-code-fast-1 | Grok Code Fast 1 (via Venice) | 256k | Reasoning, coding |
Model discovery
OpenClaw automatically discovers models from the Venice API whenVENICE_API_KEY is set. If the API is unreachable, it falls back to a static catalog.
The /models endpoint is public (no auth needed for listing), but inference requires a valid API key.
Streaming and tool support
| Feature | Support |
|---|---|
| Streaming | All models |
| Function calling | Most models (check supportsFunctionCalling in API) |
| Vision/Images | Models marked with “Vision” feature |
| JSON mode | Supported via response_format |
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
| Aspect | Venice (Anonymized) | Direct API |
|---|---|---|
| Privacy | Metadata stripped, anonymized | Your account linked |
| Latency | +10-50ms (proxy) | Direct |
| Features | Most features supported | Full features |
| Billing | Venice credits | Provider billing |
Usage examples
Troubleshooting
API key not recognized
API key not recognized
vapi_.Model not available
Model not available
The Venice model catalog updates dynamically. Run
openclaw models list to see currently available models. Some models may be temporarily offline.Connection issues
Connection issues
Venice API is at
https://api.venice.ai/api/v1. Ensure your network allows HTTPS connections.More help: Troubleshooting and FAQ.
Advanced configuration
Config file example
Config file example
Related
Model selection
Choosing providers, model refs, and failover behavior.
Venice AI
Venice AI homepage and account signup.
API documentation
Venice API reference and developer docs.
Pricing
Current Venice credit rates and plans.