* fix(models): refresh bundled provider catalogs * docs(models): refresh generated docs map * fix(xiaomi): keep provider helper private * chore(release): defer catalog release note
12 KiB
summary, read_when, title
| summary | read_when | title | ||
|---|---|---|---|---|
| Use Venice AI privacy-focused models in OpenClaw |
|
Venice AI |
Venice AI provides privacy-focused inference: open models run
with no logging, plus anonymized proxy access to Claude, GPT, Gemini, and Grok.
All endpoints are OpenAI-compatible (/v1).
Privacy modes
| Mode | Behavior | Models |
|---|---|---|
| Private | Prompts/responses are never stored or logged. Ephemeral. | Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc. |
| Anonymized | Proxied through Venice with metadata stripped before forwarding. | Claude, GPT, Gemini, Grok |
Getting started
```bash openclaw plugins install @openclaw/venice-provider ``` 1. Sign up at [venice.ai](https://venice.ai) 2. Go to **Settings > API Keys > Create new key** 3. Copy your API key (format: `vapi_xxxxxxxxxxxx`) ```bash openclaw onboard --auth-choice venice-api-key ``` Prompts for the API key (or reuses an existing `VENICE_API_KEY`), lists available Venice models, and sets your default model.
</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
- Default:
venice/kimi-k2-5(private, reasoning, vision). - Strongest anonymized option:
venice/claude-opus-4-6.
openclaw models set venice/kimi-k2-5
openclaw models list --all --provider venice
You can also run openclaw configure and pick Model/auth provider > Venice AI.
Built-in catalog (30 models)
| Model ID | Name | Context | Notes | | -------------------------------------- | ------------------------------------- | ------- | --------------------------- | | `kimi-k2-5` | Kimi K2.5 | 256k | Default, reasoning, vision | | `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-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 | | `deepseek-v3.2` | DeepSeek V3.2 | 160k | Reasoning, tools disabled | | `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-m25` | MiniMax M2.5 | 198k | Reasoning | | Model ID | Name | Context | Notes | | -------------------------------- | -------------------------------- | ------- | ---------------------------- | | `claude-opus-4-6` | Claude Opus 4.6 (via Venice) | 1M | Reasoning, vision | | `claude-sonnet-4-6` | Claude Sonnet 4.6 (via Venice) | 1M | 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-flash-preview` | Gemini 3 Flash (via Venice) | 256k | Reasoning, vision |Grok-backed Venice models (grok-4-3 and similar) get the same tool-schema
compat patch as the native xAI provider, since they share the same upstream
tool-call format.
Model discovery
The bundled catalog above is a manifest-backed seed list. At runtime OpenClaw
refreshes it from the Venice /models API and falls back to the seed list if
the API is unreachable. The /models endpoint is public (no auth needed for
listing), but inference requires a valid API key.
Venice may continue accepting retired model IDs as provider-owned aliases. The
OpenClaw catalog advertises only the canonical model IDs returned by /models.
DeepSeek V4 replay behavior
If Venice exposes DeepSeek V4 models such as deepseek-v4-pro or
deepseek-v4-flash, OpenClaw fills the required reasoning_content replay
field on assistant messages when Venice omits it, and strips thinking/
reasoning/reasoning_effort from the request payload (Venice rejects
DeepSeek's native thinking control on these models). This replay fix is
separate from the native DeepSeek provider's own thinking controls.
Streaming and tool support
| Feature | Support |
|---|---|
| Streaming | All models |
| Function calling | Most models; disabled per-model where noted above |
| Vision/Images | Models marked "Vision" above |
| JSON mode | Via response_format |
Pricing
Venice uses a credit-based system. Anonymized models cost roughly the same as direct API pricing plus a small Venice fee. See venice.ai/pricing for current rates.
Usage examples
# Default private model
openclaw agent --model venice/kimi-k2-5 --message "Quick health check"
# Claude Opus via Venice (anonymized)
openclaw agent --model venice/claude-opus-4-6 --message "Summarize this task"
# Uncensored model
openclaw agent --model venice/venice-uncensored-1-2 --message "Draft options"
# Vision model with image
openclaw agent --model venice/qwen3-vl-235b-a22b --message "Review attached image"
# Coding model
openclaw agent --model venice/qwen3-coder-480b-a35b-instruct-turbo --message "Refactor this function"
Troubleshooting
```bash echo $VENICE_API_KEY openclaw models list | grep venice ```Confirm the key starts with `vapi_`.