venice-private-ai
CommunityPrivate LLM inference with zero data retention
Authorjiayaoqijia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Venice-based private cognition enables zero-retention LLM inference for sensitive data, ensuring confidentiality and compliance with data governance requirements.
Core Features & Use Cases
- OpenAI-compatible API: seamless integration with OpenAI-style requests while keeping data private.
- Zero retention: no prompts, completions, or metadata stored by the provider.
- Use Case: private treasury analysis, confidential governance reviews, and risk assessment without exposing data to LLM providers.
- Ottie integration: works within Ottie's security model to enforce domain constraints and verifiable receipts.
Quick Start
Request a private, zero-retention inference by sending an OpenAI-compatible chat payload to Venice using your API key.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: venice-private-ai Download link: https://github.com/jiayaoqijia/Ottie/archive/main.zip#venice-private-ai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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