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jrajasekera
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venice-ai-api

Connect Venice.ai's OpenAI-compatible API for chat, image, video, TTS, STT, and embeddings.

1|Updated Dec 30, 2025
Search Tags:#embeddings#chat#privacy#api-integration#openai-compatible#venice-ai
One-click install
npx skills add https://github.com/jrajasekera/claude-skills --skill venice-ai-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: venice-ai-api
Source: https://github.com/jrajasekera/claude-skills/tree/main/skills/venice-ai-api
Command: npx skills add https://github.com/jrajasekera/claude-skills --skill venice-ai-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Venice.ai provides a privacy-first API with OpenAI compatibility, enabling developers to build AI-powered applications without storing user data centrally.

Core Features & Use Cases

  • OpenAI-compatible API access for chat, image generation, video, TTS, STT, and embeddings.
  • Privacy-first data handling with configurable data retention policies and decentralized inference.
  • Ideal for building enterprise-grade AI apps that require uncensored models with strong data privacy controls.

Quick Start

Instantiate a Venice API client using your VENICE_API_KEY and call the chat/completions endpoint to start a conversation.

Frequently Asked Questions about venice-ai-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate an OpenAI-compatible API for privacy-first chat and image generation?▼

To integrate a privacy-first API, you can connect Venice.ai using its OpenAI-compatible interface by configuring your API key and base URL to access chat, image generation, video, and embeddings without central data storage.

What is decentralized inference and how does it handle data retention for AI apps?▼

Decentralized inference processes AI requests without centrally storing user data, allowing you to configure data retention policies to maintain privacy-first handling across enterprise-grade applications.

How do I set up Venice.ai API authentication for chat completions?▼

To set up Venice.ai API authentication, instantiate the API client using your VENICE_API_KEY and configure the base URL, then call the chat/completions endpoint to start a conversation.

Can I use uncensored models for enterprise AI applications with configurable privacy controls?▼

Yes, the Venice.ai API is ideal for building enterprise-grade AI apps that require uncensored models with strong data privacy controls and configurable retention policies.

Does the Venice.ai API support text-to-speech and speech-to-text alongside embeddings?▼

Yes, the Venice.ai API provides OpenAI-compatible access to unify text-to-speech, speech-to-text, embeddings, image generation, and video within a single privacy-first API setup.

What is the best way to migrate from OpenAI to a privacy-first API without changing application logic?▼

Because Venice.ai offers an OpenAI-compatible interface, you can migrate by updating your base URL and API key configuration to redirect existing chat, image, and embeddings calls to the privacy-first Venice API.

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