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2K downloads. Trust evidence available

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Venice AI

Complete Venice AI platform — text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing. Private, uncensored AI inference for everything. Skill: Venice AI Owner: jonisjongithub Summary: Complete Venice AI platform — text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing. Private, uncensored AI inference for everything. Tags: latest:2.0.0 Version history: v2.0.0 | 2026-02-07T19:25:39.635Z | user 🎉 Major update: Merged venice-ai-media into unified skill **New in v2.0.0:** - Complete Veni

OpenClaw

View on ClawHub

Rank

Safety

Downloads

2.0k

Updated

Apr 15, 2026

Version

2.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K downloads reported by the source. Last updated 4/15/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Apr 15, 2026
Protocol compatibility: OpenClawcompatibility · observed Apr 15, 2026
Adoption signal: 2K downloadsadoption · observed Apr 15, 2026
Latest release: 2.0.0release · observed Feb 7, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn7eeaajfmabdgahexes49syrn80f3b9:venice-ai

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-jonisjongithub-venice-ai/snapshot"

Documentation

CLAWHUB

43,094 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: venice-ai
description: Complete Venice AI platform — text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing. Private, uncensored AI inference for everything.
homepage: https://venice.ai
metadata:
  {
    "clawdbot":
      {
        "emoji": "🏛️",
        "requires": { "bins": ["python3"], "env": ["VENICE_API_KEY"] },
        "primaryEnv": "VENICE_API_KEY",
        "notes": "Full Venice AI platform — text, images, video, audio, embeddings. One skill for everything.",
        "install":
          [
            {
              "id": "python-brew",
              "kind": "brew",
              "formula": "python",
              "bins": ["python3"],
              "label": "Install Python (brew)",
            },
          ],
      },
  }
---

# Venice AI — Complete Platform Skill

## What is Venice AI?

**Venice AI is the AI platform for people who don't want Big Tech watching over their shoulder.** Unlike OpenAI, Anthropic, and Google — where every prompt is logged, analyzed, and potentially used to train future models — Venice offers **true privacy** with zero data retention on private models. Your conversations stay yours.

Venice is also **uncensored**: no content filters, no refusals, no "I can't help with that." The AI answers what you actually ask, whether that's creative fiction, security research, controversial topics, or anything else mainstream AI platforms won't touch.

**Why agents should care:**
- **Private inference** — Models marked "Private" have zero data retention. Process sensitive data without it leaking into training sets.
- **Uncensored responses** — No guardrails blocking legitimate use cases. Generate any content your workflow needs.
- **OpenAI-compatible API** — Drop-in replacement. Same API format, just change the base URL.
- **30+ models** — From tiny efficient models to Claude Opus 4.5, GPT-5.2, and Venice's own uncensored models.
- **Built-in web search** — LLMs can search the web and cite sources in a single API call.
- **Image & video generation** — Flux, Sora, Runway, WAN models for visual content.

This skill gives you the **complete Venice platform**: text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing.

> **⚠️ API changes:** If something doesn't work as expected, check [docs.venice.ai](https://docs.venice.ai) — the API specs may have been updated since this skill was written.

## Prerequisites

- **Python 3.10+**
- **Venice API key** (free tier available at [venice.ai/settings/api](https://venice.ai/settings/api))

## Setup

### Get Your API Key

1. Create account at [venice.ai](https://venice.ai)
2. Go to [venice.ai/settings/api](https://venice.ai/settings/api)
3. Click "Create API Key" → copy the key (starts with `vn_...`)

### Configure

**Option A: Environment variable**
```bash
export VENICE_API_KEY="vn_your_key_here"
```

**Option B: Clawdbot config** (recommended)
``

_meta.json

{
  "ownerId": "kn7eeaajfmabdgahexes49syrn80f3b9",
  "slug": "venice-ai",
  "version": "2.0.0",
  "publishedAt": 1770492339635
}

references/api.md

# Venice AI API Reference

**Base URL:** `https://api.venice.ai/api/v1`

**Authentication:** All requests require `Authorization: Bearer <VENICE_API_KEY>`

Venice implements the **OpenAI API specification** — any OpenAI-compatible client works by changing the base URL.

---

## Chat Completions

### Create Chat Completion
```
POST /chat/completions
```

**Request Body:**
```json
{
  "model": "deepseek-v3.2",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ],
  "temperature": 0.7,
  "max_tokens": 4096,
  "stream": false,
  "response_format": {"type": "json_object"},
  "reasoning_effort": "medium",
  "prompt_cache_key": "session-123",
  "venice_parameters": {
    "enable_web_search": "auto",
    "enable_web_citations": true,
    "enable_web_scraping": false,
    "include_venice_system_prompt": true,
    "character_slug": "coder-dan",
    "strip_thinking_response": false,
    "disable_thinking": false,
    "include_search_results_in_stream": false,
    "return_search_results_as_documents": false
  }
}
```

**Venice Parameters (unique to Venice):**

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `enable_web_search` | `"off"/"on"/"auto"` | `"off"` | LLM-integrated web search. "auto" lets the model decide. |
| `enable_web_citations` | bool | false | Request `[REF]0[/REF]` citation format in responses |
| `enable_web_scraping` | bool | false | Scrape URLs found in user messages to augment context |
| `include_venice_system_prompt` | bool | true | Include Venice's default uncensored system prompt |
| `character_slug` | string | — | Use a Venice public character persona |
| `strip_thinking_response` | bool | false | Strip `<think>` tags server-side |
| `disable_thinking` | bool | false | Disable reasoning entirely |
| `include_search_results_in_stream` | bool | false | Emit search results as first SSE chunk |
| `return_search_results_as_documents` | bool | false | Return search results as OpenAI-compatible tool call |

**Response:**
```json
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "deepseek-v3.2",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Hello! How can I help?",
      "reasoning_content": "The user said hello..."
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 8,
    "total_tokens": 23,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_creation_input_tokens": 0
    }
  }
}
```

**Model Feature Suffixes:** Append parameters to model name: `qwen3-4b:strip_thinking_response=true:disable_thinking=true`

### Reasoning Models

Supported: `claude-opus-4-6`, `grok-41-fast`, `kimi-k2-5`, `gemini-3-pro-preview`, `qwen3-235b-a22b-thinking-2507`, `qwen3-4b`, `deepseek-ai-DeepSeek-R1`

Control via `reasoning_effort`: `low` | `medium` | `high`

### Prompt Caching

Automatic for most models (>10

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