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{"repo": "adamhjouj/shieldclaw", "files": {"openclaw/docs/providers/venice.md": {"87db66122f78b3c78108921b7bc73217c01ff587": {"t": 1785747234.4927063, "n": 13751, "h": "dad6f908a0abc180", "c": "---\nsummary: \"Use Venice AI privacy-focused models in OpenClaw\"\nread_when:\n - You want privacy-focused inference in OpenClaw\n - You want Venice AI setup guidance\ntitle: \"Venice AI\"\n---\n\n# Venice AI (Venice highlight)\n\n**Venice** is our highlight Venice setup for privacy-first inference with optional anonymized access to proprietary models.\n\nVenice 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.\n\n## Why Venice in OpenClaw\n\n- **Private inference** for open-source models (no logging).\n- **Uncensored models** when you need them.\n- **Anonymized access** to proprietary models (Opus/GPT/Gemini) when quality matters.\n- OpenAI-compatible `/v1` endpoints.\n\n## Privacy Modes\n\nVenice offers two privacy levels — understanding this is key to choosing your model:\n\n| Mode | Description | Models |\n| -------------- | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- |\n| **Private** | Fully private. Prompts/responses are **never stored or logged**. Ephemeral. | Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc. |\n| **Anonymized** | Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic, Google, xAI) sees anonymized requests. | Claude, GPT, Gemini, Grok |\n\n## Features\n\n- **Privacy-focused**: Choose between \"private\" (fully private) and \"anonymized\" (proxied) modes\n- **Uncensored models**: Access to models without content restrictions\n- **Major model access**: Use Claude, GPT, Gemini, and Grok via Venice's anonymized proxy\n- **OpenAI-compatible API**: Standard `/v1` endpoints for easy integration\n- **Streaming**: ✅ Supported on all models\n- **Function calling**: ✅ Supported on select models (check model capabilities)\n- **Vision**: ✅ Supported on models with vision capability\n- **No hard rate limits**: Fair-use throttling may apply for extreme usage\n\n## Setup\n\n### 1. Get API Key\n\n1. Sign up at [venice.ai](https://venice.ai)\n2. Go to **Settings → API Keys → Create new key**\n3. Copy your API key (format: `vapi_xxxxxxxxxxxx`)\n\n### 2. Configure OpenClaw\n\n**Option A: Environment Variable**\n\n```bash\nexport VENICE_API_KEY=\"vapi_xxxxxxxxxxxx\"\n```\n\n**Option B: Interactive Setup (Recommended)**\n\n```bash\nopenclaw onboard --auth-choice venice-api-key\n```\n\nThis will:\n\n1. Prompt for your API key (or use existing `VENICE_API_KEY`)\n2. Show all available Venice models\n3. Let you pick your default model\n4. Configure the provider automatically\n\n**Option C: Non-interactive**\n\n```bash\nopenclaw onboard --non-interactive \\\n --auth-choice venice-api-key \\\n --venice-api-key \"vapi_xxxxxxxxxxxx\"\n```\n\n### 3. Verify Setup\n\n```bash\nopenclaw agent --model venice/kimi-k2-5 --message \"Hello, are you working?\"\n```\n\n## Model Selection\n\nAfter setup, OpenClaw shows all available Venice models. Pick based on your needs:\n\n- **Default model**: `venice/kimi-k2-5` for strong private reasoning plus vision.\n- **High-capability option**: `venice/claude-opus-4-6` for the strongest anonymized Venice path.\n- **Privacy**: Choose \"private\" models for fully private inference.\n- **Capability**: Choose \"anonymized\" models to access Claude, GPT, Gemini via Venice's proxy.\n\nChange your default model anytime:\n\n```bash\nopenclaw models set venice/kimi-k2-5\nopenclaw models set venice/claude-opus-4-6\n```\n\nList all available models:\n\n```bash\nopenclaw models list | grep venice\n```\n\n## Configure via `openclaw configure`\n\n1. Run `openclaw configure`\n2. Select **Model/auth**\n3. Choose **Venice AI**\n\n## Which Model Should I Use?\n\n| Use Case | Recommended Model | Why |\n| -------------------------- | -------------------------------- | -------------------------------------------- |\n| **General chat (default)** | `kimi-k2-5` | Strong private reasoning plus vision |\n| **Best overall quality** | `claude-opus-4-6` | Strongest anonymized Venice option |\n| **Privacy + coding** | `qwen3-coder-480b-a35b-instruct` | Private coding model with large context |\n| **Private vision** | `kimi-k2-5` | Vision support without leaving private mode |\n| **Fast + cheap** | `qwen3-4b` | Lightweight reasoning model |\n| **Complex private tasks** | `deepseek-v3.2` | Strong reasoning, but no Venice tool support |\n| **Uncensored** | `venice-uncensored` | No content restrictions |\n\n## Available Models (41 Total)\n\n### Private Models (26) — Fully Private, No Logging\n\n| Model ID | Name | Context | Features |\n| -------------------------------------- | ----------------------------------- | ------- | -------------------------- |\n| `kimi-k2-5` | Kimi K2.5 | 256k | Default, reasoning, vision |\n| `kimi-k2-thinking` | Kimi K2 Thinking | 256k | Reasoning |\n| `llama-3.3-70b` | Llama 3.3 70B | 128k | General |\n| `llama-3.2-3b` | Llama 3.2 3B | 128k | General |\n| `hermes-3-llama-3.1-405b` | Hermes 3 Llama 3.1 405B | 128k | General, tools disabled |\n| `qwen3-235b-a22b-thinking-2507` | Qwen3 235B Thinking | 128k | Reasoning |\n| `qwen3-235b-a22b-instruct-2507` | Qwen3 235B Instruct | 128k | General |\n| `qwen3-coder-480b-a35b-instruct` | Qwen3 Coder 480B | 256k | Coding |\n| `qwen3-coder-480b-a35b-instruct-turbo` | Qwen3 Coder 480B Turbo | 256k | Coding |\n| `qwen3-5-35b-a3b` | Qwen3.5 35B A3B | 256k | Reasoning, vision |\n| `qwen3-next-80b` | Qwen3 Next 80B | 256k | General |\n| `qwen3-vl-235b-a22b` | Qwen3 VL 235B (Vision) | 256k | Vision |\n| `qwen3-4b` | Venice Small (Qwen3 4B) | 32k | Fast, reasoning |\n| `deepseek-v3.2` | DeepSeek V3.2 | 160k | Reasoning, tools disabled |\n| `venice-uncensored` | Venice Uncensored (Dolphin-Mistral) | 32k | Uncensored, tools disabled |\n| `mistral-31-24b` | Venice Medium (Mistral) | 128k | Vision |\n| `google-gemma-3-27b-it` | Google Gemma 3 27B Instruct | 198k | Vision |\n| `openai-gpt-oss-120b` | OpenAI GPT OSS 120B | 128k | General |\n| `nvidia-nemotron-3-nano-30b-a3b` | NVIDIA Nemotron 3 Nano 30B | 128k | General |\n| `olafangensan-glm-4.7-flash-heretic` | GLM 4.7 Flash Heretic | 128k | Reasoning |\n| `zai-org-glm-4.6` | GLM 4.6 | 198k | General |\n| `zai-org-glm-4.7` | GLM 4.7 | 198k | Reasoning |\n| `zai-org-glm-4.7-flash` | GLM 4.7 Flash | 128k | Reasoning |\n| `zai-org-glm-5` | GLM 5 | 198k | Reasoning |\n| `minimax-m21` | MiniMax M2.1 | 198k | Reasoning |\n| `minimax-m25` | MiniMax M2.5 | 198k | Reasoning |\n\n### Anonymized Models (15) — Via Venice Proxy\n\n| Model ID | Name | Context | Features |\n| ------------------------------- | ------------------------------ | ------- | ------------------------- |\n| `claude-opus-4-6` | Claude Opus 4.6 (via Venice) | 1M | Reasoning, vision |\n| `claude-opus-4-5` | Claude Opus 4.5 (via Venice) | 198k | Reasoning, vision |\n| `claude-sonnet-4-6` | Claude Sonnet 4.6 (via Venice) | 1M | Reasoning, vision |\n| `claude-sonnet-4-5` | Claude Sonnet 4.5 (via Venice) | 198k | Reasoning, vision |\n| `openai-gpt-54` | GPT-5.4 (via Venice) | 1M | Reasoning, vision |\n| `openai-gpt-53-codex` | GPT-5.3 Codex (via Venice) | 400k | Reasoning, vision, coding |\n| `openai-gpt-52` | GPT-5.2 (via Venice) | 256k | Reasoning |\n| `openai-gpt-52-codex` | GPT-5.2 Codex (via Venice) | 256k | Reasoning, vision, coding |\n| `openai-gpt-4o-2024-11-20` | GPT-4o (via Venice) | 128k | Vision |\n| `openai-gpt-4o-mini-2024-07-18` | GPT-4o Mini (via Venice) | 128k | Vision |\n| `gemini-3-1-pro-preview` | Gemini 3.1 Pro (via Venice) | 1M | Reasoning, vision |\n| `gemini-3-pro-preview` | Gemini 3 Pro (via Venice) | 198k | Reasoning, vision |\n| `gemini-3-flash-preview` | Gemini 3 Flash (via Venice) | 256k | Reasoning, vision |\n| `grok-41-fast` | Grok 4.1 Fast (via Venice) | 1M | Reasoning, vision |\n| `grok-code-fast-1` | Grok Code Fast 1 (via Venice) | 256k | Reasoning, coding |\n\n## Model Discovery\n\nOpenClaw automatically discovers models from the Venice API when `VENICE_API_KEY` is set. If the API is unreachable, it falls back to a static catalog.\n\nThe `/models` endpoint is public (no auth needed for listing), but inference requires a valid API key.\n\n## Streaming & Tool Support\n\n| Feature | Support |\n| -------------------- | ------------------------------------------------------- |\n| **Streaming** | ✅ All models |\n| **Function calling** | ✅ Most models (check `supportsFunctionCalling` in API) |\n| **Vision/Images** | ✅ Models marked with \"Vision\" feature |\n| **JSON mode** | ✅ Supported via `response_format` |\n\n## Pricing\n\nVenice uses a credit-based system. Check [venice.ai/pricing](https://venice.ai/pricing) for current rates:\n\n- **Private models**: Generally lower cost\n- **Anonymized models**: Similar to direct API pricing + small Venice fee\n\n## Comparison: Venice vs Direct API\n\n| Aspect | Venice (Anonymized) | Direct API |\n| ------------ | ----------------------------- | ------------------- |\n| **Privacy** | Metadata stripped, anonymized | Your account linked |\n| **Latency** | +10-50ms (proxy) | Direct |\n| **Features** | Most features supported | Full features |\n| **Billing** | Venice credits | Provider billing |\n\n## Usage Examples\n\n```bash\n# Use the default private model\nopenclaw agent --model venice/kimi-k2-5 --message \"Quick health check\"\n\n# Use Claude Opus via Venice (anonymized)\nopenclaw agent --model venice/claude-opus-4-6 --message \"Summarize this task\"\n\n# Use uncensored model\nopenclaw agent --model venice/venice-uncensored --message \"Draft options\"\n\n# Use vision model with image\nopenclaw agent --model venice/qwen3-vl-235b-a22b --message \"Review attached image\"\n\n# Use coding model\nopenclaw agent --model venice/qwen3-coder-480b-a35b-instruct --message \"Refactor this function\"\n```\n\n## Troubleshooting\n\n### API key not recognized\n\n```bash\necho $VENICE_API_KEY\nopenclaw models list | grep venice\n```\n\nEnsure the key starts with `vapi_`.\n\n### Model not available\n\nThe Venice model catalog updates dynamically. Run `openclaw models list` to see currently available models. Some models may be temporarily offline.\n\n### Connection issues\n\nVenice API is at `https://api.venice.ai/api/v1`. Ensure your network allows HTTPS connections.\n\n## Config file example\n\n```json5\n{\n env: { VENICE_API_KEY: \"vapi_...\" },\n agents: { defaults: { model: { primary: \"venice/kimi-k2-5\" } } },\n models: {\n mode: \"merge\",\n providers: {\n venice: {\n baseUrl: \"https://api.venice.ai/api/v1\",\n apiKey: \"${VENICE_API_KEY}\",\n api: \"openai-completions\",\n models: [\n {\n id: \"kimi-k2-5\",\n name: \"Kimi K2.5\",\n reasoning: true,\n input: [\"text\", \"image\"],\n cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },\n contextWindow: 256000,\n maxTokens: 65536,\n },\n ],\n },\n },\n },\n}\n```\n\n## Links\n\n- [Venice AI](https://venice.ai)\n- [API Documentation](https://docs.venice.ai)\n- [Pricing](https://venice.ai/pricing)\n- [Status](https://status.venice.ai)\n"}, "e693b60e8b6e496404a25a483de39a4a52081cbf": {"t": 1785771582.1640677, "n": 13751, "h": "dad6f908a0abc180", "c": "---\nsummary: \"Use Venice AI privacy-focused models in OpenClaw\"\nread_when:\n - You want privacy-focused inference in OpenClaw\n - You want Venice AI setup guidance\ntitle: \"Venice AI\"\n---\n\n# Venice AI (Venice highlight)\n\n**Venice** is our highlight Venice setup for privacy-first inference with optional anonymized access to proprietary models.\n\nVenice 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.\n\n## Why Venice in OpenClaw\n\n- **Private inference** for open-source models (no logging).\n- **Uncensored models** when you need them.\n- **Anonymized access** to proprietary models (Opus/GPT/Gemini) when quality matters.\n- OpenAI-compatible `/v1` endpoints.\n\n## Privacy Modes\n\nVenice offers two privacy levels — understanding this is key to choosing your model:\n\n| Mode | Description | Models |\n| -------------- | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- |\n| **Private** | Fully private. Prompts/responses are **never stored or logged**. Ephemeral. | Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc. |\n| **Anonymized** | Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic, Google, xAI) sees anonymized requests. | Claude, GPT, Gemini, Grok |\n\n## Features\n\n- **Privacy-focused**: Choose between \"private\" (fully private) and \"anonymized\" (proxied) modes\n- **Uncensored models**: Access to models without content restrictions\n- **Major model access**: Use Claude, GPT, Gemini, and Grok via Venice's anonymized proxy\n- **OpenAI-compatible API**: Standard `/v1` endpoints for easy integration\n- **Streaming**: ✅ Supported on all models\n- **Function calling**: ✅ Supported on select models (check model capabilities)\n- **Vision**: ✅ Supported on models with vision capability\n- **No hard rate limits**: Fair-use throttling may apply for extreme usage\n\n## Setup\n\n### 1. Get API Key\n\n1. Sign up at [venice.ai](https://venice.ai)\n2. Go to **Settings → API Keys → Create new key**\n3. Copy your API key (format: `vapi_xxxxxxxxxxxx`)\n\n### 2. Configure OpenClaw\n\n**Option A: Environment Variable**\n\n```bash\nexport VENICE_API_KEY=\"vapi_xxxxxxxxxxxx\"\n```\n\n**Option B: Interactive Setup (Recommended)**\n\n```bash\nopenclaw onboard --auth-choice venice-api-key\n```\n\nThis will:\n\n1. Prompt for your API key (or use existing `VENICE_API_KEY`)\n2. Show all available Venice models\n3. Let you pick your default model\n4. Configure the provider automatically\n\n**Option C: Non-interactive**\n\n```bash\nopenclaw onboard --non-interactive \\\n --auth-choice venice-api-key \\\n --venice-api-key \"vapi_xxxxxxxxxxxx\"\n```\n\n### 3. Verify Setup\n\n```bash\nopenclaw agent --model venice/kimi-k2-5 --message \"Hello, are you working?\"\n```\n\n## Model Selection\n\nAfter setup, OpenClaw shows all available Venice models. Pick based on your needs:\n\n- **Default model**: `venice/kimi-k2-5` for strong private reasoning plus vision.\n- **High-capability option**: `venice/claude-opus-4-6` for the strongest anonymized Venice path.\n- **Privacy**: Choose \"private\" models for fully private inference.\n- **Capability**: Choose \"anonymized\" models to access Claude, GPT, Gemini via Venice's proxy.\n\nChange your default model anytime:\n\n```bash\nopenclaw models set venice/kimi-k2-5\nopenclaw models set venice/claude-opus-4-6\n```\n\nList all available models:\n\n```bash\nopenclaw models list | grep venice\n```\n\n## Configure via `openclaw configure`\n\n1. Run `openclaw configure`\n2. Select **Model/auth**\n3. Choose **Venice AI**\n\n## Which Model Should I Use?\n\n| Use Case | Recommended Model | Why |\n| -------------------------- | -------------------------------- | -------------------------------------------- |\n| **General chat (default)** | `kimi-k2-5` | Strong private reasoning plus vision |\n| **Best overall quality** | `claude-opus-4-6` | Strongest anonymized Venice option |\n| **Privacy + coding** | `qwen3-coder-480b-a35b-instruct` | Private coding model with large context |\n| **Private vision** | `kimi-k2-5` | Vision support without leaving private mode |\n| **Fast + cheap** | `qwen3-4b` | Lightweight reasoning model |\n| **Complex private tasks** | `deepseek-v3.2` | Strong reasoning, but no Venice tool support |\n| **Uncensored** | `venice-uncensored` | No content restrictions |\n\n## Available Models (41 Total)\n\n### Private Models (26) — Fully Private, No Logging\n\n| Model ID | Name | Context | Features |\n| -------------------------------------- | ----------------------------------- | ------- | -------------------------- |\n| `kimi-k2-5` | Kimi K2.5 | 256k | Default, reasoning, vision |\n| `kimi-k2-thinking` | Kimi K2 Thinking | 256k | Reasoning |\n| `llama-3.3-70b` | Llama 3.3 70B | 128k | General |\n| `llama-3.2-3b` | Llama 3.2 3B | 128k | General |\n| `hermes-3-llama-3.1-405b` | Hermes 3 Llama 3.1 405B | 128k | General, tools disabled |\n| `qwen3-235b-a22b-thinking-2507` | Qwen3 235B Thinking | 128k | Reasoning |\n| `qwen3-235b-a22b-instruct-2507` | Qwen3 235B Instruct | 128k | General |\n| `qwen3-coder-480b-a35b-instruct` | Qwen3 Coder 480B | 256k | Coding |\n| `qwen3-coder-480b-a35b-instruct-turbo` | Qwen3 Coder 480B Turbo | 256k | Coding |\n| `qwen3-5-35b-a3b` | Qwen3.5 35B A3B | 256k | Reasoning, vision |\n| `qwen3-next-80b` | Qwen3 Next 80B | 256k | General |\n| `qwen3-vl-235b-a22b` | Qwen3 VL 235B (Vision) | 256k | Vision |\n| `qwen3-4b` | Venice Small (Qwen3 4B) | 32k | Fast, reasoning |\n| `deepseek-v3.2` | DeepSeek V3.2 | 160k | Reasoning, tools disabled |\n| `venice-uncensored` | Venice Uncensored (Dolphin-Mistral) | 32k | Uncensored, tools disabled |\n| `mistral-31-24b` | Venice Medium (Mistral) | 128k | Vision |\n| `google-gemma-3-27b-it` | Google Gemma 3 27B Instruct | 198k | Vision |\n| `openai-gpt-oss-120b` | OpenAI GPT OSS 120B | 128k | General |\n| `nvidia-nemotron-3-nano-30b-a3b` | NVIDIA Nemotron 3 Nano 30B | 128k | General |\n| `olafangensan-glm-4.7-flash-heretic` | GLM 4.7 Flash Heretic | 128k | Reasoning |\n| `zai-org-glm-4.6` | GLM 4.6 | 198k | General |\n| `zai-org-glm-4.7` | GLM 4.7 | 198k | Reasoning |\n| `zai-org-glm-4.7-flash` | GLM 4.7 Flash | 128k | Reasoning |\n| `zai-org-glm-5` | GLM 5 | 198k | Reasoning |\n| `minimax-m21` | MiniMax M2.1 | 198k | Reasoning |\n| `minimax-m25` | MiniMax M2.5 | 198k | Reasoning |\n\n### Anonymized Models (15) — Via Venice Proxy\n\n| Model ID | Name | Context | Features |\n| ------------------------------- | ------------------------------ | ------- | ------------------------- |\n| `claude-opus-4-6` | Claude Opus 4.6 (via Venice) | 1M | Reasoning, vision |\n| `claude-opus-4-5` | Claude Opus 4.5 (via Venice) | 198k | Reasoning, vision |\n| `claude-sonnet-4-6` | Claude Sonnet 4.6 (via Venice) | 1M | Reasoning, vision |\n| `claude-sonnet-4-5` | Claude Sonnet 4.5 (via Venice) | 198k | Reasoning, vision |\n| `openai-gpt-54` | GPT-5.4 (via Venice) | 1M | Reasoning, vision |\n| `openai-gpt-53-codex` | GPT-5.3 Codex (via Venice) | 400k | Reasoning, vision, coding |\n| `openai-gpt-52` | GPT-5.2 (via Venice) | 256k | Reasoning |\n| `openai-gpt-52-codex` | GPT-5.2 Codex (via Venice) | 256k | Reasoning, vision, coding |\n| `openai-gpt-4o-2024-11-20` | GPT-4o (via Venice) | 128k | Vision |\n| `openai-gpt-4o-mini-2024-07-18` | GPT-4o Mini (via Venice) | 128k | Vision |\n| `gemini-3-1-pro-preview` | Gemini 3.1 Pro (via Venice) | 1M | Reasoning, vision |\n| `gemini-3-pro-preview` | Gemini 3 Pro (via Venice) | 198k | Reasoning, vision |\n| `gemini-3-flash-preview` | Gemini 3 Flash (via Venice) | 256k | Reasoning, vision |\n| `grok-41-fast` | Grok 4.1 Fast (via Venice) | 1M | Reasoning, vision |\n| `grok-code-fast-1` | Grok Code Fast 1 (via Venice) | 256k | Reasoning, coding |\n\n## Model Discovery\n\nOpenClaw automatically discovers models from the Venice API when `VENICE_API_KEY` is set. If the API is unreachable, it falls back to a static catalog.\n\nThe `/models` endpoint is public (no auth needed for listing), but inference requires a valid API key.\n\n## Streaming & Tool Support\n\n| Feature | Support |\n| -------------------- | ------------------------------------------------------- |\n| **Streaming** | ✅ All models |\n| **Function calling** | ✅ Most models (check `supportsFunctionCalling` in API) |\n| **Vision/Images** | ✅ Models marked with \"Vision\" feature |\n| **JSON mode** | ✅ Supported via `response_format` |\n\n## Pricing\n\nVenice uses a credit-based system. Check [venice.ai/pricing](https://venice.ai/pricing) for current rates:\n\n- **Private models**: Generally lower cost\n- **Anonymized models**: Similar to direct API pricing + small Venice fee\n\n## Comparison: Venice vs Direct API\n\n| Aspect | Venice (Anonymized) | Direct API |\n| ------------ | ----------------------------- | ------------------- |\n| **Privacy** | Metadata stripped, anonymized | Your account linked |\n| **Latency** | +10-50ms (proxy) | Direct |\n| **Features** | Most features supported | Full features |\n| **Billing** | Venice credits | Provider billing |\n\n## Usage Examples\n\n```bash\n# Use the default private model\nopenclaw agent --model venice/kimi-k2-5 --message \"Quick health check\"\n\n# Use Claude Opus via Venice (anonymized)\nopenclaw agent --model venice/claude-opus-4-6 --message \"Summarize this task\"\n\n# Use uncensored model\nopenclaw agent --model venice/venice-uncensored --message \"Draft options\"\n\n# Use vision model with image\nopenclaw agent --model venice/qwen3-vl-235b-a22b --message \"Review attached image\"\n\n# Use coding model\nopenclaw agent --model venice/qwen3-coder-480b-a35b-instruct --message \"Refactor this function\"\n```\n\n## Troubleshooting\n\n### API key not recognized\n\n```bash\necho $VENICE_API_KEY\nopenclaw models list | grep venice\n```\n\nEnsure the key starts with `vapi_`.\n\n### Model not available\n\nThe Venice model catalog updates dynamically. Run `openclaw models list` to see currently available models. Some models may be temporarily offline.\n\n### Connection issues\n\nVenice API is at `https://api.venice.ai/api/v1`. Ensure your network allows HTTPS connections.\n\n## Config file example\n\n```json5\n{\n env: { VENICE_API_KEY: \"vapi_...\" },\n agents: { defaults: { model: { primary: \"venice/kimi-k2-5\" } } },\n models: {\n mode: \"merge\",\n providers: {\n venice: {\n baseUrl: \"https://api.venice.ai/api/v1\",\n apiKey: \"${VENICE_API_KEY}\",\n api: \"openai-completions\",\n models: [\n {\n id: \"kimi-k2-5\",\n name: \"Kimi K2.5\",\n reasoning: true,\n input: [\"text\", \"image\"],\n cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },\n contextWindow: 256000,\n maxTokens: 65536,\n },\n ],\n },\n },\n },\n}\n```\n\n## Links\n\n- [Venice AI](https://venice.ai)\n- [API Documentation](https://docs.venice.ai)\n- [Pricing](https://venice.ai/pricing)\n- [Status](https://status.venice.ai)\n"}}}} |